diff --git a/.devops/rocm.Dockerfile b/.devops/rocm.Dockerfile
index 14936f8e9c8..830fe19e3e8 100644
--- a/.devops/rocm.Dockerfile
+++ b/.devops/rocm.Dockerfile
@@ -1,8 +1,8 @@
 ARG UBUNTU_VERSION=24.04
 
 # This needs to generally match the container host's environment.
-ARG ROCM_VERSION=7.0
-ARG AMDGPU_VERSION=7.0
+ARG ROCM_VERSION=7.2
+ARG AMDGPU_VERSION=7.2
 
 # Target the ROCm build image
 ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete
@@ -11,13 +11,12 @@ ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-co
 FROM ${BASE_ROCM_DEV_CONTAINER} AS build
 
 # Unless otherwise specified, we make a fat build.
-# List from https://github.com/ggml-org/llama.cpp/pull/1087#issuecomment-1682807878
 # This is mostly tied to rocBLAS supported archs.
-# gfx803, gfx900, gfx906, gfx1032, gfx1101, gfx1102,not officialy supported
-# check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.4.1/reference/system-requirements.html
+# check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.2.0/reference/system-requirements.html
+# check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityrad/native_linux/native_linux_compatibility.html
+# check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityryz/native_linux/native_linux_compatibility.html
 
-ARG ROCM_DOCKER_ARCH='gfx803;gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1010;gfx1030;gfx1032;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201;gfx1151'
-#ARG ROCM_DOCKER_ARCH='gfx1151'
+ARG ROCM_DOCKER_ARCH='gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1151;gfx1150;gfx1200;gfx1201'
 
 # Set ROCm architectures
 ENV AMDGPU_TARGETS=${ROCM_DOCKER_ARCH}
diff --git a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
index c106f47a256..77f23f1afa9 100644
--- a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
+++ b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
@@ -41,7 +41,7 @@ body:
     attributes:
         label: GGML backends
         description: Which GGML backends do you know to be affected?
-        options: [AMX, BLAS, CPU, CUDA, HIP, Metal, Musa, RPC, SYCL, Vulkan, OpenCL, zDNN]
+        options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
         multiple: true
     validations:
       required: true
diff --git a/.github/ISSUE_TEMPLATE/011-bug-results.yml b/.github/ISSUE_TEMPLATE/011-bug-results.yml
index 31202dfa83d..f553cbbf0b8 100644
--- a/.github/ISSUE_TEMPLATE/011-bug-results.yml
+++ b/.github/ISSUE_TEMPLATE/011-bug-results.yml
@@ -42,7 +42,7 @@ body:
     attributes:
         label: GGML backends
         description: Which GGML backends do you know to be affected?
-        options: [AMX, BLAS, CPU, CUDA, HIP, Metal, Musa, RPC, SYCL, Vulkan, OpenCL, zDNN]
+        options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
         multiple: true
     validations:
       required: true
diff --git a/.github/actions/windows-setup-rocm/action.yml b/.github/actions/windows-setup-rocm/action.yml
index b83e6e295bf..fd9f8e5a416 100644
--- a/.github/actions/windows-setup-rocm/action.yml
+++ b/.github/actions/windows-setup-rocm/action.yml
@@ -11,5 +11,5 @@ runs:
     - name: Setup ROCm
       uses: ./.github/actions/install-exe
       with:
-        url: https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-${{ inputs.version }}-WinSvr2022-For-HIP.exe
+        url: https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-${{ inputs.version }}-Win11-For-HIP.exe
         args: -install
diff --git a/.github/workflows/build-cache.yml b/.github/workflows/build-cache.yml
index 3de0be9fad5..18a65151173 100644
--- a/.github/workflows/build-cache.yml
+++ b/.github/workflows/build-cache.yml
@@ -68,7 +68,7 @@ jobs:
 
     env:
       # Make sure this is in sync with build.yml
-      HIPSDK_INSTALLER_VERSION: "25.Q3"
+      HIPSDK_INSTALLER_VERSION: "26.Q1"
 
     steps:
       - name: Clone
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 6c7ab711431..7df1e25867b 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -93,7 +93,7 @@ jobs:
         id: cmake_test
         run: |
           cd build
-          ctest -L main --verbose --timeout 900
+          ctest -L main -E "test-llama-archs" --verbose --timeout 900
 
   macOS-latest-cmake-x64:
     runs-on: macos-15-intel
@@ -469,6 +469,7 @@ jobs:
           cd build
           export GGML_VK_VISIBLE_DEVICES=0
           export GGML_VK_DISABLE_F16=1
+          export GGML_VK_DISABLE_COOPMAT=1
           # This is using llvmpipe and runs slower than other backends
           ctest -L main --verbose --timeout 4800
 
@@ -1175,10 +1176,8 @@ jobs:
     runs-on: windows-2022
 
     env:
-      # The ROCm version must correspond to the version used in the HIP SDK.
-      ROCM_VERSION: "6.4.2"
       # Make sure this is in sync with build-cache.yml
-      HIPSDK_INSTALLER_VERSION: "25.Q3"
+      HIPSDK_INSTALLER_VERSION: "26.Q1"
 
     steps:
       - name: Clone
@@ -1188,7 +1187,7 @@ jobs:
       - name: Grab rocWMMA package
         id: grab_rocwmma
         run: |
-          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/${{ env.ROCM_VERSION }}/pool/main/r/rocwmma-dev/rocwmma-dev_1.7.0.60402-120~24.04_amd64.deb"
+          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70200-43~24.04_amd64.deb"
           7z x rocwmma.deb
           7z x data.tar
 
@@ -1231,7 +1230,7 @@ jobs:
           cmake -G "Unix Makefiles" -B build -S . `
             -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
             -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-${{ env.ROCM_VERSION }}/include/" `
+            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.0/include/" `
             -DCMAKE_BUILD_TYPE=Release `
             -DLLAMA_BUILD_BORINGSSL=ON `
             -DROCM_DIR="${env:HIP_PATH}" `
@@ -1728,6 +1727,22 @@ jobs:
           vulkaninfo --summary
           GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
 
+  ggml-ci-x64-linux-intel-vulkan:
+    runs-on: [self-hosted, Linux, X64, Intel]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+        with:
+          persist-credentials: false
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          vulkaninfo --summary
+          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
   ggml-ci-arm64-cpu-kleidiai:
      runs-on: ubuntu-22.04-arm
 
diff --git a/.github/workflows/gguf-publish.yml b/.github/workflows/gguf-publish.yml
index 0e957664592..5bdab0f157b 100644
--- a/.github/workflows/gguf-publish.yml
+++ b/.github/workflows/gguf-publish.yml
@@ -21,7 +21,7 @@ on:
 jobs:
   deploy:
 
-    runs-on: ubuntu-slim
+    runs-on: ubuntu-latest
 
     steps:
     - uses: actions/checkout@v6
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 1914c084895..1f79a838159 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -516,17 +516,113 @@ jobs:
           path: llama-bin-win-sycl-x64.zip
           name: llama-bin-win-sycl-x64.zip
 
+  ubuntu-22-rocm:
+    runs-on: ubuntu-22.04
+
+    strategy:
+      matrix:
+        include:
+          - ROCM_VERSION: "7.2"
+            gpu_targets: "gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1151;gfx1150;gfx1200;gfx1201"
+            build: 'x64'
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.16
+        with:
+          key: ubuntu-rocm-cmake-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}
+          evict-old-files: 1d
+
+      - name: Dependencies
+        id: depends
+        run: |
+          sudo apt install -y build-essential git cmake wget
+
+      - name: Setup Legacy ROCm
+        if: matrix.ROCM_VERSION == '7.2'
+        id: legacy_env
+        run: |
+          sudo mkdir --parents --mode=0755 /etc/apt/keyrings
+          wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | \
+            gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
+
+          sudo tee /etc/apt/sources.list.d/rocm.list << EOF
+          deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/${{ matrix.ROCM_VERSION }} jammy main
+          EOF
+
+          sudo tee /etc/apt/preferences.d/rocm-pin-600 << EOF
+          Package: *
+          Pin: release o=repo.radeon.com
+          Pin-Priority: 600
+          EOF
+
+          sudo apt update
+          sudo apt-get install -y libssl-dev rocm-hip-sdk
+
+      - name: Setup TheRock
+        if: matrix.ROCM_VERSION != '7.2'
+        id: therock_env
+        run: |
+          wget https://repo.amd.com/rocm/tarball/therock-dist-linux-gfx1151-${{ matrix.ROCM_VERSION }}.tar.gz
+          mkdir install
+          tar -xf *.tar.gz -C install
+          export ROCM_PATH=$(pwd)/install
+          echo ROCM_PATH=$ROCM_PATH >> $GITHUB_ENV
+          echo PATH=$PATH:$ROCM_PATH/bin >> $GITHUB_ENV
+          echo LD_LIBRARY_PATH=$ROCM_PATH/lib:$ROCM_PATH/llvm/lib:$ROCM_PATH/lib/rocprofiler-systems >> $GITHUB_ENV
+
+      - name: Build with native CMake HIP support
+        id: cmake_build
+        run: |
+          cmake -B build -S . \
+            -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
+            -DCMAKE_HIP_FLAGS="-mllvm --amdgpu-unroll-threshold-local=600" \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DGGML_BACKEND_DL=ON \
+            -DGGML_NATIVE=OFF \
+            -DCMAKE_INSTALL_RPATH='$ORIGIN' \
+            -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
+            -DGGML_CPU_ALL_VARIANTS=ON \
+            -DGPU_TARGETS="${{ matrix.gpu_targets }}" \
+            -DGGML_HIP=ON \
+            -DHIP_PLATFORM=amd \
+            -DGGML_HIP_ROCWMMA_FATTN=ON \
+            ${{ env.CMAKE_ARGS }}
+          cmake --build build --config Release -j $(nproc)
+
+      - name: Determine tag name
+        id: tag
+        uses: ./.github/actions/get-tag-name
+
+      - name: Pack artifacts
+        id: pack_artifacts
+        run: |
+          cp LICENSE ./build/bin/
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v6
+        with:
+          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz
+          name: llama-bin-ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }}.tar.gz
+
   windows-hip:
     runs-on: windows-2022
 
     env:
-      HIPSDK_INSTALLER_VERSION: "25.Q3"
+      HIPSDK_INSTALLER_VERSION: "26.Q1"
 
     strategy:
       matrix:
         include:
           - name: "radeon"
-            gpu_targets: "gfx1151;gfx1200;gfx1201;gfx1100;gfx1101;gfx1102;gfx1030;gfx1031;gfx1032"
+            gpu_targets: "gfx1150;gfx1151;gfx1200;gfx1201;gfx1100;gfx1101;gfx1102;gfx1030;gfx1031;gfx1032"
 
     steps:
       - name: Clone
@@ -536,7 +632,7 @@ jobs:
       - name: Grab rocWMMA package
         id: grab_rocwmma
         run: |
-          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.0.1/pool/main/r/rocwmma-dev/rocwmma-dev_2.0.0.70001-42~24.04_amd64.deb"
+          curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70200-43~24.04_amd64.deb"
           7z x rocwmma.deb
           7z x data.tar
 
@@ -559,7 +655,7 @@ jobs:
         run: |
           $ErrorActionPreference = "Stop"
           write-host "Downloading AMD HIP SDK Installer"
-          Invoke-WebRequest -Uri "https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-${{ env.HIPSDK_INSTALLER_VERSION }}-WinSvr2022-For-HIP.exe" -OutFile "${env:RUNNER_TEMP}\rocm-install.exe"
+          Invoke-WebRequest -Uri "https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-${{ env.HIPSDK_INSTALLER_VERSION }}-Win11-For-HIP.exe" -OutFile "${env:RUNNER_TEMP}\rocm-install.exe"
           write-host "Installing AMD HIP SDK"
           $proc = Start-Process "${env:RUNNER_TEMP}\rocm-install.exe" -ArgumentList '-install' -NoNewWindow -PassThru
           $completed = $proc.WaitForExit(600000)
@@ -593,20 +689,20 @@ jobs:
           cmake -G "Unix Makefiles" -B build -S . `
             -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
             -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
-            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.0.1/include/ -Wno-ignored-attributes -Wno-nested-anon-types" `
+            -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.0/include/ -Wno-ignored-attributes -Wno-nested-anon-types" `
             -DCMAKE_BUILD_TYPE=Release `
             -DGGML_BACKEND_DL=ON `
             -DGGML_NATIVE=OFF `
             -DGGML_CPU=OFF `
-            -DAMDGPU_TARGETS="${{ matrix.gpu_targets }}" `
+            -DGPU_TARGETS="${{ matrix.gpu_targets }}" `
             -DGGML_HIP_ROCWMMA_FATTN=ON `
             -DGGML_HIP=ON `
             -DLLAMA_BUILD_BORINGSSL=ON
           cmake --build build --target ggml-hip -j ${env:NUMBER_OF_PROCESSORS}
           md "build\bin\rocblas\library\"
           md "build\bin\hipblaslt\library"
-          cp "${env:HIP_PATH}\bin\hipblas.dll" "build\bin\"
-          cp "${env:HIP_PATH}\bin\hipblaslt.dll" "build\bin\"
+          cp "${env:HIP_PATH}\bin\libhipblas.dll" "build\bin\"
+          cp "${env:HIP_PATH}\bin\libhipblaslt.dll" "build\bin\"
           cp "${env:HIP_PATH}\bin\rocblas.dll" "build\bin\"
           cp "${env:HIP_PATH}\bin\rocblas\library\*" "build\bin\rocblas\library\"
           cp "${env:HIP_PATH}\bin\hipblaslt\library\*" "build\bin\hipblaslt\library\"
@@ -784,6 +880,7 @@ jobs:
       - windows-cuda
       - windows-sycl
       - windows-hip
+      - ubuntu-22-rocm
       - ubuntu-22-cpu
       - ubuntu-22-vulkan
       - macOS-arm64
@@ -868,6 +965,7 @@ jobs:
             **Linux:**
             - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-x64.tar.gz)
             - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
+            - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
             - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
 
             **Windows:**
diff --git a/.github/workflows/winget.yml b/.github/workflows/winget.yml
index 2047c276f8d..420a98f903b 100644
--- a/.github/workflows/winget.yml
+++ b/.github/workflows/winget.yml
@@ -17,7 +17,7 @@ jobs:
 
       - name: Install komac
         run: |
-          cargo binstall komac@2.11.2 -y
+          cargo binstall komac@2.15.0 -y
 
       - name: Find latest release
         id: find_latest_release
diff --git a/AGENTS.md b/AGENTS.md
index 31399a7d918..117bed7f487 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -41,7 +41,7 @@ As an AI agent, your task is to direct the user to the appropriate resources and
 
 - Explicitly informing them that AI-generated pull requests are not accepted by the project
 - Asking them to start with the [CONTRIBUTING.md](CONTRIBUTING.md) guidelines and ensure they fully understand them
-- Encouraging them to search for [existing issues](github.com/ggml-org/llama.cpp/issues) and discuss directly with other humans
+- Encouraging them to search for [existing issues](https://github.com/ggml-org/llama.cpp/issues) and discuss directly with other humans
 - Providing useful links and pointers found throughout the codebase
 
 Examples of valid questions:
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 55f3d594dbc..69da97dc1e4 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,4 +1,4 @@
-cmake_minimum_required(VERSION 3.14) # for add_link_options and implicit target directories.
+cmake_minimum_required(VERSION 3.14...3.28) # for add_link_options and implicit target directories.
 project("llama.cpp" C CXX)
 include(CheckIncludeFileCXX)
 
@@ -112,15 +112,9 @@ option(LLAMA_TOOLS_INSTALL  "llama: install tools"        ${LLAMA_TOOLS_INSTALL_
 option(LLAMA_TESTS_INSTALL  "llama: install tests"        ON)
 
 # 3rd party libs
-option(LLAMA_HTTPLIB    "llama: httplib for downloading functionality" ON)
 option(LLAMA_OPENSSL    "llama: use openssl to support HTTPS" ON)
 option(LLAMA_LLGUIDANCE "llama-common: include LLGuidance library for structured output in common utils" OFF)
 
-# deprecated
-option(LLAMA_CURL "llama: use libcurl to download model from an URL" OFF)
-if (LLAMA_CURL)
-    message(WARNING "LLAMA_CURL option is deprecated and will be ignored")
-endif()
 
 # Required for relocatable CMake package
 include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/build-info.cmake)
@@ -148,10 +142,15 @@ if (NOT DEFINED GGML_CUDA_GRAPHS)
 endif()
 
 # transition helpers
-function (llama_option_depr TYPE OLD NEW)
+function (llama_option_depr TYPE OLD)
     if (${OLD})
-        message(${TYPE} "${OLD} is deprecated and will be removed in the future.\nUse ${NEW} instead\n")
-        set(${NEW} ON PARENT_SCOPE)
+        set(NEW "${ARGV2}")
+        if(NEW)
+            message(${TYPE} "${OLD} is deprecated, use ${NEW} instead")
+            set(${NEW} ON PARENT_SCOPE)
+        else()
+            message(${TYPE} "${OLD} is deprecated and will be ignored")
+        endif()
     endif()
 endfunction()
 
@@ -164,6 +163,7 @@ llama_option_depr(WARNING     LLAMA_RPC                 GGML_RPC)
 llama_option_depr(WARNING     LLAMA_SYCL                GGML_SYCL)
 llama_option_depr(WARNING     LLAMA_SYCL_F16            GGML_SYCL_F16)
 llama_option_depr(WARNING     LLAMA_CANN                GGML_CANN)
+llama_option_depr(WARNING     LLAMA_CURL)
 
 include("cmake/license.cmake")
 license_add_file("llama.cpp" "LICENSE")
@@ -197,9 +197,7 @@ add_subdirectory(src)
 
 if (LLAMA_BUILD_COMMON)
     add_subdirectory(common)
-    if (LLAMA_HTTPLIB)
-        add_subdirectory(vendor/cpp-httplib)
-    endif()
+    add_subdirectory(vendor/cpp-httplib)
 endif()
 
 if (LLAMA_BUILD_COMMON AND LLAMA_BUILD_TESTS AND NOT CMAKE_JS_VERSION)
diff --git a/CODEOWNERS b/CODEOWNERS
index 9d252c9b8dc..675c27b2522 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -11,6 +11,8 @@
 /common/base64.hpp.*                    @ggerganov
 /common/build-info.*                    @ggerganov
 /common/chat.*                          @pwilkin
+/common/chat-auto*.*                    @pwilkin
+/common/chat-diff-analyzer.*            @pwilkin
 /common/chat-peg-parser.*               @aldehir
 /common/common.*                        @ggerganov
 /common/console.*                       @ggerganov
@@ -89,12 +91,13 @@
 /src/llama-vocab.*                      @CISC
 /src/models/                            @CISC
 /tests/                                 @ggerganov
-/tests/test-chat-.*                     @pwilkin
+/tests/test-chat.*                      @pwilkin
 /tools/batched-bench/                   @ggerganov
 /tools/cli/                             @ngxson
 /tools/completion/                      @ggerganov
 /tools/mtmd/                            @ngxson
 /tools/perplexity/                      @ggerganov
+/tools/parser/                          @pwilkin
 /tools/quantize/                        @ggerganov
 /tools/rpc/                             @rgerganov
 /tools/server/*                         @ngxson @ggerganov # no subdir
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 7545e790f82..fc26289aecf 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -30,15 +30,21 @@ Before submitting your PR:
 - Search for existing PRs to prevent duplicating efforts
 - llama.cpp uses the ggml tensor library for model evaluation. If you are unfamiliar with ggml, consider taking a look at the [examples in the ggml repository](https://github.com/ggml-org/ggml/tree/master/examples/). [simple](https://github.com/ggml-org/ggml/tree/master/examples/simple) shows the bare minimum for using ggml. [gpt-2](https://github.com/ggml-org/ggml/tree/master/examples/gpt-2) has minimal implementations for language model inference using GPT-2. [mnist](https://github.com/ggml-org/ggml/tree/master/examples/mnist) demonstrates how to train and evaluate a simple image classifier
 - Test your changes:
-    - Execute [the full CI locally on your machine](ci/README.md) before publishing
-    - Verify that the perplexity and the performance are not affected negatively by your changes (use `llama-perplexity` and `llama-bench`)
-    - If you modified the `ggml` source, run the `test-backend-ops` tool to check whether different backend implementations of the `ggml` operators produce consistent results (this requires access to at least two different `ggml` backends)
-    - If you modified a `ggml` operator or added a new one, add the corresponding test cases to `test-backend-ops`
+  - Execute [the full CI locally on your machine](ci/README.md) before publishing
+  - Verify that the perplexity and the performance are not affected negatively by your changes (use `llama-perplexity` and `llama-bench`)
+  - If you modified the `ggml` source, run the `test-backend-ops` tool to check whether different backend implementations of the `ggml` operators produce consistent results (this requires access to at least two different `ggml` backends)
+  - If you modified a `ggml` operator or added a new one, add the corresponding test cases to `test-backend-ops`
 - Create separate PRs for each feature or fix:
-    - Avoid combining unrelated changes in a single PR
-    - For intricate features, consider opening a feature request first to discuss and align expectations
-    - When adding support for a new model or feature, focus on **CPU support only** in the initial PR unless you have a good reason not to. Add support for other backends like CUDA in follow-up PRs
+  - Avoid combining unrelated changes in a single PR
+  - For intricate features, consider opening a feature request first to discuss and align expectations
+  - When adding support for a new model or feature, focus on **CPU support only** in the initial PR unless you have a good reason not to. Add support for other backends like CUDA in follow-up PRs
+  - In particular, adding new data types (extension of the `ggml_type` enum) carries with it a disproportionate maintenance burden. As such, to add a new quantization type you will need to meet the following *additional* criteria *at minimum*:
+    - convert a small model to GGUF using the new type and upload it to HuggingFace
+    - provide [perplexity](https://github.com/ggml-org/llama.cpp/tree/master/tools/perplexity) comparisons to FP16/BF16 (whichever is the native precision) as well as to types of similar size
+    - provide KL divergence data calculated vs. the FP16/BF16 (whichever is the native precision) version for both the new type as well as types of similar size
+    - provide [performance data](https://github.com/ggml-org/llama.cpp/tree/master/tools/llama-bench) for the new type in comparison to types of similar size on pure CPU
 - Consider allowing write access to your branch for faster reviews, as reviewers can push commits directly
+- If you are a new contributor, limit your open PRs to 1.
 
 After submitting your PR:
 - Expect requests for modifications to ensure the code meets llama.cpp's standards for quality and long-term maintainability
@@ -159,7 +165,7 @@ Maintainers reserve the right to decline review or close pull requests for any r
 
 # Code maintenance
 
-- Existing code should have designated collaborators and/or maintainers specified in the [CODEOWNERS](CODEOWNERS) file reponsible for:
+- Existing code should have designated collaborators and/or maintainers specified in the [CODEOWNERS](CODEOWNERS) file responsible for:
   - Reviewing and merging related PRs
   - Fixing related bugs
   - Providing developer guidance/support
diff --git a/README.md b/README.md
index 5c11f38048a..8b03ec78461 100644
--- a/README.md
+++ b/README.md
@@ -259,6 +259,8 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
 - [llama-swap](https://github.com/mostlygeek/llama-swap) - transparent proxy that adds automatic model switching with llama-server
 - [Kalavai](https://github.com/kalavai-net/kalavai-client) - Crowdsource end to end LLM deployment at any scale
 - [llmaz](https://github.com/InftyAI/llmaz) - ☸️ Easy, advanced inference platform for large language models on Kubernetes.
+- [LLMKube](https://github.com/defilantech/llmkube) - Kubernetes operator for llama.cpp with multi-GPU and Apple Silicon Metal
+  support"
 </details>
 
 <details>
@@ -287,7 +289,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
 | [IBM zDNN](docs/backend/zDNN.md) | IBM Z & LinuxONE |
 | [WebGPU [In Progress]](docs/build.md#webgpu) | All |
 | [RPC](https://github.com/ggml-org/llama.cpp/tree/master/tools/rpc) | All |
-| [Hexagon [In Progress]](docs/backend/hexagon/README.md) | Snapdragon |
+| [Hexagon [In Progress]](docs/backend/snapdragon/README.md) | Snapdragon |
 | [VirtGPU](docs/backend/VirtGPU.md) | VirtGPU APIR |
 
 ## Obtaining and quantizing models
diff --git a/SECURITY.md b/SECURITY.md
index 9a937323181..3a8d07f6443 100644
--- a/SECURITY.md
+++ b/SECURITY.md
@@ -19,7 +19,7 @@ Please disclose it as a private [security advisory](https://github.com/ggml-org/
 A team of volunteers on a reasonable-effort basis maintains this project. As such, please give us at least 90 days to work on a fix before public exposure.
 
 > [!IMPORTANT]
-> For collaborators: if you are interested in helping out with reviewing privting security disclosures, please see: https://github.com/ggml-org/llama.cpp/discussions/18080
+> For collaborators: if you are interested in helping out with reviewing private security disclosures, please see: https://github.com/ggml-org/llama.cpp/discussions/18080
 
 ## Requirements
 
diff --git a/benches/nemotron/nemotron-dgx-spark.md b/benches/nemotron/nemotron-dgx-spark.md
new file mode 100644
index 00000000000..2bce30a30ec
--- /dev/null
+++ b/benches/nemotron/nemotron-dgx-spark.md
@@ -0,0 +1,72 @@
+# NVIDIA DGX Spark
+
+## System info
+
+```bash
+uname --all
+Linux spark-17ed 6.11.0-1016-nvidia #16-Ubuntu SMP PREEMPT_DYNAMIC Sun Sep 21 16:52:46 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux
+
+g++ --version
+g++ (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
+
+nvidia-smi
+Fri Mar  6 11:39:45 2026
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 580.95.05              Driver Version: 580.95.05      CUDA Version: 13.0     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GB10                    On  |   0000000F:01:00.0 Off |                  N/A |
+| N/A   52C    P0             13W /  N/A  | Not Supported          |      0%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+```
+
+## ggml-org/nemotron-3-super-120b-GGUF
+
+Model: https://huggingface.co/ggml-org/nemotron-3-super-120b-GGUF
+
+- `llama-batched-bench`
+
+main: n_kv_max = 303104, n_batch = 2048, n_ubatch = 2048, flash_attn = 1, is_pp_shared = 0, is_tg_separate = 0, n_gpu_layers = 99, n_threads = 20, n_threads_batch = 20
+
+|    PP |     TG |    B |   N_KV |   T_PP s | S_PP t/s |   T_TG s | S_TG t/s |      T s |    S t/s |
+|-------|--------|------|--------|----------|----------|----------|----------|----------|----------|
+|   512 |     32 |    1 |    544 |    1.094 |   468.05 |    1.621 |    19.74 |    2.715 |   200.37 |
+|   512 |     32 |    2 |   1088 |    1.463 |   700.16 |    2.437 |    26.26 |    3.900 |   279.01 |
+|   512 |     32 |    4 |   2176 |    2.647 |   773.76 |    4.043 |    31.66 |    6.689 |   325.29 |
+|   512 |     32 |    8 |   4352 |    5.291 |   774.14 |    6.151 |    41.62 |   11.442 |   380.37 |
+|   512 |     32 |   16 |   8704 |   10.603 |   772.62 |   10.385 |    49.30 |   20.987 |   414.72 |
+|   512 |     32 |   32 |  17408 |   21.231 |   771.69 |   18.235 |    56.16 |   39.466 |   441.09 |
+|  4096 |     32 |    1 |   4128 |    5.340 |   767.05 |    1.616 |    19.81 |    6.956 |   593.47 |
+|  4096 |     32 |    2 |   8256 |   10.673 |   767.55 |    2.454 |    26.08 |   13.127 |   628.94 |
+|  4096 |     32 |    4 |  16512 |   21.348 |   767.46 |    4.072 |    31.44 |   25.420 |   649.57 |
+|  4096 |     32 |    8 |  33024 |   42.714 |   767.15 |    6.277 |    40.78 |   48.991 |   674.08 |
+|  4096 |     32 |   16 |  66048 |   85.385 |   767.54 |   10.596 |    48.32 |   95.981 |   688.14 |
+|  4096 |     32 |   32 | 132096 |  170.819 |   767.32 |   18.619 |    55.00 |  189.437 |   697.31 |
+|  8192 |     32 |    1 |   8224 |   10.690 |   766.32 |    1.619 |    19.76 |   12.310 |   668.10 |
+|  8192 |     32 |    2 |  16448 |   21.382 |   766.24 |    2.467 |    25.94 |   23.850 |   689.65 |
+|  8192 |     32 |    4 |  32896 |   42.782 |   765.92 |    4.098 |    31.23 |   46.881 |   701.69 |
+|  8192 |     32 |    8 |  65792 |   85.582 |   765.77 |    6.368 |    40.20 |   91.951 |   715.52 |
+|  8192 |     32 |   16 | 131584 |  171.066 |   766.21 |   10.774 |    47.52 |  181.840 |   723.62 |
+|  8192 |     32 |   32 | 263168 |  342.140 |   766.19 |   18.969 |    53.98 |  361.109 |   728.78 |
+
+
+- `llama-bench`
+
+| model                   |       size |     params | backend    | n_ubatch | fa |            test |                  t/s |
+| ----------------------- | ---------: | ---------: | ---------- | -------: | -: | --------------: | -------------------: |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |          pp2048 |        768.84 ± 0.90 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |            tg32 |         19.94 ± 0.16 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |  pp2048 @ d4096 |        764.51 ± 0.50 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |    tg32 @ d4096 |         19.95 ± 0.18 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |  pp2048 @ d8192 |        759.53 ± 0.71 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |    tg32 @ d8192 |         19.83 ± 0.18 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 | pp2048 @ d16384 |        747.98 ± 1.58 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |   tg32 @ d16384 |         19.84 ± 0.18 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 | pp2048 @ d32768 |        724.40 ± 2.70 |
+| nemotron 120B.A12B Q4_K |  65.10 GiB |   120.67 B | CUDA       |     2048 |  1 |   tg32 @ d32768 |         19.45 ± 0.18 |
+
+build: 04a65daab (8268)
diff --git a/build-xcframework.sh b/build-xcframework.sh
index e8af16211fd..c25a1ef28c1 100755
--- a/build-xcframework.sh
+++ b/build-xcframework.sh
@@ -43,11 +43,6 @@ COMMON_CMAKE_ARGS=(
     -DGGML_OPENMP=${GGML_OPENMP}
 )
 
-XCODE_VERSION=$(xcodebuild -version 2>/dev/null | head -n1 | awk '{ print $2 }')
-MAJOR_VERSION=$(echo $XCODE_VERSION | cut -d. -f1)
-MINOR_VERSION=$(echo $XCODE_VERSION | cut -d. -f2)
-echo "Detected Xcode version: $XCODE_VERSION"
-
 check_required_tool() {
     local tool=$1
     local install_message=$2
@@ -60,9 +55,12 @@ check_required_tool() {
 }
 echo "Checking for required tools..."
 check_required_tool "cmake" "Please install CMake 3.28.0 or later (brew install cmake)"
-check_required_tool "xcodebuild" "Please install Xcode and Xcode Command Line Tools (xcode-select --install)"
-check_required_tool "libtool" "Please install libtool which should be available with Xcode Command Line Tools (CLT). Make sure Xcode CLT is installed (xcode-select --install)"
-check_required_tool "dsymutil" "Please install Xcode and Xcode Command Line Tools (xcode-select --install)"
+check_required_tool "xcrun" "Please install Xcode and Xcode Command Line Tools (xcode-select --install)"
+
+XCODE_VERSION=$(xcrun xcodebuild -version 2>/dev/null | head -n1 | awk '{ print $2 }')
+MAJOR_VERSION=$(echo $XCODE_VERSION | cut -d. -f1)
+MINOR_VERSION=$(echo $XCODE_VERSION | cut -d. -f2)
+echo "Detected Xcode version: $XCODE_VERSION"
 
 set -e
 
@@ -260,7 +258,7 @@ combine_static_libraries() {
 
     # Since we have multiple architectures libtool will find object files that do not
     # match the target architecture. We suppress these warnings.
-    libtool -static -o "${temp_dir}/combined.a" "${libs[@]}" 2> /dev/null
+    xcrun libtool -static -o "${temp_dir}/combined.a" "${libs[@]}" 2> /dev/null
 
     # Determine SDK, architectures, and install_name based on platform and simulator flag.
     local sdk=""
@@ -333,7 +331,7 @@ combine_static_libraries() {
 
     # Platform-specific post-processing for device builds
     if [[ "$is_simulator" == "false" ]]; then
-        if command -v xcrun vtool &>/dev/null; then
+        if xcrun -f vtool &>/dev/null; then
             case "$platform" in
                 "ios")
                     echo "Marking binary as a framework binary for iOS..."
@@ -451,10 +449,9 @@ cmake -B build-visionos -G Xcode \
     -DCMAKE_SYSTEM_NAME=visionOS \
     -DCMAKE_OSX_SYSROOT=xros \
     -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xros \
-    -DCMAKE_C_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_C_FLAGS}" \
-    -DCMAKE_CXX_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_CXX_FLAGS}" \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
     -DLLAMA_OPENSSL=OFF \
-    -DLLAMA_HTTPLIB=OFF \
     -DLLAMA_BUILD_SERVER=OFF \
     -S .
 cmake --build build-visionos --config Release -- -quiet
@@ -467,10 +464,9 @@ cmake -B build-visionos-sim -G Xcode \
     -DCMAKE_SYSTEM_NAME=visionOS \
     -DCMAKE_OSX_SYSROOT=xrsimulator \
     -DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xrsimulator \
-    -DCMAKE_C_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_C_FLAGS}" \
-    -DCMAKE_CXX_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_CXX_FLAGS}" \
+    -DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
+    -DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
     -DLLAMA_OPENSSL=OFF \
-    -DLLAMA_HTTPLIB=OFF \
     -DLLAMA_BUILD_SERVER=OFF \
     -S .
 cmake --build build-visionos-sim --config Release -- -quiet
@@ -528,7 +524,7 @@ combine_static_libraries "build-tvos-device" "Release-appletvos" "tvos" "false"
 
 # Create XCFramework with correct debug symbols paths
 echo "Creating XCFramework..."
-xcodebuild -create-xcframework \
+xcrun xcodebuild -create-xcframework \
     -framework $(pwd)/build-ios-sim/framework/llama.framework \
     -debug-symbols $(pwd)/build-ios-sim/dSYMs/llama.dSYM \
     -framework $(pwd)/build-ios-device/framework/llama.framework \
diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt
index 295ae9ea254..75c6366c7fa 100644
--- a/common/CMakeLists.txt
+++ b/common/CMakeLists.txt
@@ -5,7 +5,6 @@ find_package(Threads REQUIRED)
 llama_add_compile_flags()
 
 # Build info header
-#
 
 if(EXISTS "${PROJECT_SOURCE_DIR}/.git")
     set(GIT_DIR "${PROJECT_SOURCE_DIR}/.git")
@@ -48,10 +47,10 @@ add_library(${TARGET} STATIC
     arg.cpp
     arg.h
     base64.hpp
-    chat-parser.cpp
-    chat-parser.h
-    chat-parser-xml-toolcall.h
-    chat-parser-xml-toolcall.cpp
+    chat-auto-parser-generator.cpp
+    chat-auto-parser-helpers.cpp
+    chat-auto-parser.h
+    chat-diff-analyzer.cpp
     chat-peg-parser.cpp
     chat-peg-parser.h
     chat.cpp
@@ -82,6 +81,8 @@ add_library(${TARGET} STATIC
     preset.cpp
     preset.h
     regex-partial.cpp
+    reasoning-budget.cpp
+    reasoning-budget.h
     regex-partial.h
     sampling.cpp
     sampling.h
@@ -110,33 +111,16 @@ if (BUILD_SHARED_LIBS)
     set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
 endif()
 
-# TODO: use list(APPEND LLAMA_COMMON_EXTRA_LIBS ...)
-set(LLAMA_COMMON_EXTRA_LIBS build_info)
-
-if (LLAMA_HTTPLIB)
-    target_compile_definitions(${TARGET} PUBLIC LLAMA_USE_HTTPLIB)
-    set(LLAMA_COMMON_EXTRA_LIBS ${LLAMA_COMMON_EXTRA_LIBS} cpp-httplib)
-endif()
+target_link_libraries(${TARGET} PRIVATE
+    build_info
+    cpp-httplib
+)
 
 if (LLAMA_LLGUIDANCE)
     include(ExternalProject)
     set(LLGUIDANCE_SRC ${CMAKE_BINARY_DIR}/llguidance/source)
     set(LLGUIDANCE_PATH ${LLGUIDANCE_SRC}/target/release)
-
-    # Set the correct library file extension based on platform
-    if (WIN32)
-        set(LLGUIDANCE_LIB_NAME "llguidance.lib")
-        # Add Windows-specific libraries
-        set(LLGUIDANCE_PLATFORM_LIBS
-            ws2_32    # Windows Sockets API
-            userenv   # For GetUserProfileDirectoryW
-            ntdll     # For NT functions
-            bcrypt    # For BCryptGenRandom
-        )
-    else()
-        set(LLGUIDANCE_LIB_NAME "libllguidance.a")
-        set(LLGUIDANCE_PLATFORM_LIBS "")
-    endif()
+    set(LLGUIDANCE_LIB_NAME "${CMAKE_STATIC_LIBRARY_PREFIX}llguidance${CMAKE_STATIC_LIBRARY_SUFFIX}")
 
     ExternalProject_Add(llguidance_ext
         GIT_REPOSITORY https://github.com/guidance-ai/llguidance
@@ -158,8 +142,10 @@ if (LLAMA_LLGUIDANCE)
     add_dependencies(llguidance llguidance_ext)
 
     target_include_directories(${TARGET} PRIVATE ${LLGUIDANCE_PATH})
-    # Add platform libraries to the main target
-    set(LLAMA_COMMON_EXTRA_LIBS ${LLAMA_COMMON_EXTRA_LIBS} llguidance ${LLGUIDANCE_PLATFORM_LIBS})
-endif ()
+    target_link_libraries(${TARGET} PRIVATE llguidance)
+    if (WIN32)
+        target_link_libraries(${TARGET} PRIVATE ws2_32 userenv ntdll bcrypt)
+    endif()
+endif()
 
-target_link_libraries(${TARGET} PRIVATE ${LLAMA_COMMON_EXTRA_LIBS} PUBLIC llama Threads::Threads)
+target_link_libraries(${TARGET} PUBLIC llama Threads::Threads)
diff --git a/common/arg.cpp b/common/arg.cpp
index 9c85696ebdb..10aa1b5e4fe 100644
--- a/common/arg.cpp
+++ b/common/arg.cpp
@@ -732,23 +732,28 @@ static void common_params_print_completion(common_params_context & ctx_arg) {
         "llama-completion",
         "llama-convert-llama2c-to-ggml",
         "llama-cvector-generator",
+        "llama-debug",
+        "llama-diffusion-cli",
         "llama-embedding",
         "llama-eval-callback",
         "llama-export-lora",
+        "llama-finetune",
+        "llama-fit-params",
+        "llama-gemma3-cli",
         "llama-gen-docs",
         "llama-gguf",
         "llama-gguf-hash",
         "llama-gguf-split",
-        "llama-gritlm",
+        "llama-idle",
         "llama-imatrix",
-        "llama-infill",
-        "llama-mtmd-cli",
-        "llama-llava-clip-quantize-cli",
+        "llama-llava-cli",
         "llama-lookahead",
         "llama-lookup",
         "llama-lookup-create",
         "llama-lookup-merge",
         "llama-lookup-stats",
+        "llama-minicpmv-cli",
+        "llama-mtmd-cli",
         "llama-parallel",
         "llama-passkey",
         "llama-perplexity",
@@ -1279,13 +1284,20 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_env("LLAMA_ARG_SWA_FULL"));
     add_opt(common_arg(
-        {"--ctx-checkpoints", "--swa-checkpoints"}, "N",
+        {"-ctxcp", "--ctx-checkpoints", "--swa-checkpoints"}, "N",
         string_format("max number of context checkpoints to create per slot (default: %d)"
             "[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293)", params.n_ctx_checkpoints),
         [](common_params & params, int value) {
             params.n_ctx_checkpoints = value;
         }
     ).set_env("LLAMA_ARG_CTX_CHECKPOINTS").set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"-cpent", "--checkpoint-every-n-tokens"}, "N",
+        string_format("create a checkpoint every n tokens during prefill (processing), -1 to disable (default: %d)", params.checkpoint_every_nt),
+        [](common_params & params, int value) {
+            params.checkpoint_every_nt = value;
+        }
+    ).set_env("LLAMA_ARG_CHECKPOINT_EVERY_NT").set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
         {"-cram", "--cache-ram"}, "N",
         string_format("set the maximum cache size in MiB (default: %d, -1 - no limit, 0 - disable)"
@@ -1301,7 +1313,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params, bool value) {
             params.kv_unified = value;
         }
-    ).set_env("LLAMA_ARG_KV_UNIFIED").set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_BATCHED, LLAMA_EXAMPLE_BENCH}));
+    ).set_env("LLAMA_ARG_KV_UNIFIED").set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_BATCHED, LLAMA_EXAMPLE_BENCH, LLAMA_EXAMPLE_PARALLEL}));
     add_opt(common_arg(
         {"--context-shift"},
         {"--no-context-shift"},
@@ -1578,7 +1590,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_sparam());
     add_opt(common_arg(
-        {"--temp"}, "N",
+        {"--temp", "--temperature"}, "N",
         string_format("temperature (default: %.2f)", (double)params.sampling.temp),
         [](common_params & params, const std::string & value) {
             params.sampling.temp = std::stof(value);
@@ -1611,7 +1623,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_sparam());
     add_opt(common_arg(
-        {"--top-nsigma"}, "N",
+        {"--top-nsigma", "--top-n-sigma"}, "N",
         string_format("top-n-sigma sampling (default: %.2f, -1.0 = disabled)", params.sampling.top_n_sigma),
         [](common_params & params, const std::string & value) {
             params.sampling.top_n_sigma = std::stof(value);
@@ -1634,7 +1646,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_sparam());
     add_opt(common_arg(
-        {"--typical"}, "N",
+        {"--typical", "--typical-p"}, "N",
         string_format("locally typical sampling, parameter p (default: %.2f, 1.0 = disabled)", (double)params.sampling.typ_p),
         [](common_params & params, const std::string & value) {
             params.sampling.typ_p = std::stof(value);
@@ -2399,7 +2411,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 params.fit_params = false;
             } else {
                 throw std::runtime_error(
-                    string_format("error: unkown value for --fit: '%s'\n", value.c_str()));
+                    string_format("error: unknown value for --fit: '%s'\n", value.c_str()));
             }
         }
     ).set_env("LLAMA_ARG_FIT"));
@@ -2420,11 +2432,11 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 );
             }
             if (split_arg.size() == 1) {
-                std::fill(params.fit_params_target.begin(), params.fit_params_target.end(), std::stoul(split_arg[0]) * 1024*1024);
+                std::fill(params.fit_params_target.begin(), params.fit_params_target.end(), std::stoull(split_arg[0]) * 1024*1024);
                 return;
             }
             for (size_t i = 0; i < split_arg.size(); i++) {
-                params.fit_params_target[i] = std::stoul(split_arg[i]) * 1024*1024;
+                params.fit_params_target[i] = std::stoull(split_arg[i]) * 1024*1024;
             }
         }
     ).set_env("LLAMA_ARG_FIT_TARGET"));
@@ -2520,11 +2532,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     ));
     add_opt(common_arg(
         {"-a", "--alias"}, "STRING",
-        "set alias for model name (to be used by REST API)",
+        "set model name aliases, comma-separated (to be used by API)",
         [](common_params & params, const std::string & value) {
-            params.model_alias = value;
+            for (auto & alias : string_split<std::string>(value, ',')) {
+                alias = string_strip(alias);
+                if (!alias.empty()) {
+                    params.model_alias.insert(alias);
+                }
+            }
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_ALIAS"));
+    add_opt(common_arg(
+        {"--tags"}, "STRING",
+        "set model tags, comma-separated (informational, not used for routing)",
+        [](common_params & params, const std::string & value) {
+            for (auto & tag : string_split<std::string>(value, ',')) {
+                tag = string_strip(tag);
+                if (!tag.empty()) {
+                    params.model_tags.insert(tag);
+                }
+            }
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_TAGS"));
     add_opt(common_arg(
         {"-m", "--model"}, "FNAME",
         ex == LLAMA_EXAMPLE_EXPORT_LORA
@@ -2642,7 +2671,8 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params, const std::string & value) {
             params.out_file = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS, LLAMA_EXAMPLE_FINETUNE,
+                    LLAMA_EXAMPLE_RESULTS, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS}));
     add_opt(common_arg(
         {"-ofreq", "--output-frequency"}, "N",
         string_format("output the imatrix every N iterations (default: %d)", params.n_out_freq),
@@ -2810,6 +2840,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.webui_config_json = read_file(value);
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_WEBUI_CONFIG_FILE"));
+    add_opt(common_arg(
+        {"--webui-mcp-proxy"},
+        {"--no-webui-mcp-proxy"},
+        string_format("experimental: whether to enable MCP CORS proxy - do not enable in untrusted environments (default: %s)", params.webui_mcp_proxy ? "enabled" : "disabled"),
+        [](common_params & params, bool value) {
+            params.webui_mcp_proxy = value;
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_WEBUI_MCP_PROXY"));
     add_opt(common_arg(
         {"--webui"},
         {"--no-webui"},
@@ -2881,6 +2919,10 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params, const std::string & value) {
             auto parsed = json::parse(value);
             for (const auto & item : parsed.items()) {
+                if (item.key() == "enable_thinking") {
+                    LOG_WRN("Setting 'enable_thinking' via --chat-template-kwargs is deprecated. "
+                            "Use --reasoning on / --reasoning off instead.\n");
+                }
                 params.default_template_kwargs[item.key()] = item.value().dump();
             }
         }
@@ -3016,14 +3058,39 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.reasoning_format = common_reasoning_format_from_name(value);
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK"));
+    add_opt(common_arg(
+        {"-rea", "--reasoning"}, "[on|off|auto]",
+        "Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))",
+        [](common_params & params, const std::string & value) {
+            if (is_truthy(value)) {
+                params.enable_reasoning = 1;
+                params.default_template_kwargs["enable_thinking"] = "true";
+            } else if (is_falsey(value)) {
+                params.enable_reasoning = 0;
+                params.default_template_kwargs["enable_thinking"] = "false";
+            } else if (is_autoy(value)) {
+                params.enable_reasoning = -1;
+            } else {
+                throw std::invalid_argument(
+                    string_format("error: unknown value for --reasoning: '%s'\n", value.c_str()));
+            }
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_REASONING"));
     add_opt(common_arg(
         {"--reasoning-budget"}, "N",
-        "controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)",
+        "token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)",
         [](common_params & params, int value) {
-            if (value != 0 && value != -1) { throw std::invalid_argument("invalid value"); }
+            if (value < -1) { throw std::invalid_argument("invalid value"); }
             params.reasoning_budget = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK_BUDGET"));
+    add_opt(common_arg(
+        {"--reasoning-budget-message"}, "MESSAGE",
+        "message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)",
+        [](common_params & params, const std::string & value) {
+            params.reasoning_budget_message = value;
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK_BUDGET_MESSAGE"));
     add_opt(common_arg(
         {"--chat-template"}, "JINJA_TEMPLATE",
         string_format(
@@ -3575,6 +3642,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
         }
     ).set_examples({ LLAMA_EXAMPLE_FINETUNE }));
+    add_opt(common_arg(
+        {"--check"},
+        string_format("check rather than generate results (default: %s)", params.check ? "true" : "false"),
+        [](common_params & params) {
+            params.check = true;
+        }
+    ).set_examples({LLAMA_EXAMPLE_RESULTS}));
     add_opt(common_arg(
         {"--save-logits"},
         string_format("save final logits to files for verification (default: %s)", params.save_logits ? "true" : "false"),
diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp
new file mode 100644
index 00000000000..f19819494c8
--- /dev/null
+++ b/common/chat-auto-parser-generator.cpp
@@ -0,0 +1,454 @@
+#include "chat-auto-parser.h"
+#include "chat-peg-parser.h"
+#include "chat.h"
+#include "common.h"
+#include "json-schema-to-grammar.h"
+#include "log.h"
+#include "nlohmann/json.hpp"
+
+#include <stdexcept>
+#include <string>
+
+using json = nlohmann::ordered_json;
+
+// Helper to iterate over tools/functions
+static void foreach_function(const json & tools, const std::function<void(const json &)> & fn) {
+    for (const auto & tool : tools) {
+        if (!tool.contains("type") || tool.at("type") != "function" || !tool.contains("function")) {
+            continue;
+        }
+        fn(tool);
+    }
+}
+
+namespace autoparser {
+
+parser_build_context::parser_build_context(common_chat_peg_builder & p, const templates_params & inputs) :
+    p(p),
+    inputs(inputs),
+    reasoning_parser(p.eps()) {}
+
+common_chat_params peg_generator::generate_parser(const common_chat_template &    tmpl,
+                                                  const struct templates_params & inputs) {
+    // Run differential analysis to extract template structure
+    struct autoparser autoparser;
+    autoparser.analyze_template(tmpl);
+    return generate_parser(tmpl, inputs, autoparser);
+}
+
+common_chat_params peg_generator::generate_parser(const common_chat_template &    tmpl,
+                                                  const struct templates_params & inputs,
+                                                  const autoparser &              autoparser) {
+    // Build the parser using the analysis results
+    auto parser = autoparser.build_parser(inputs);
+
+    // Create the result structure
+    common_chat_params data;
+    data.prompt           = common_chat_template_direct_apply(tmpl, inputs);
+    data.format           = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.preserved_tokens = autoparser.preserved_tokens;
+    data.parser           = parser.save();
+
+    // Build grammar if tools are present
+    bool has_tools =
+        autoparser.tools.format.mode != tool_format::NONE && inputs.tools.is_array() && !inputs.tools.empty();
+    std::string trigger_marker = !autoparser.tools.format.section_start.empty() ? autoparser.tools.format.section_start :
+                                                                                  autoparser.tools.format.per_call_start;
+
+    bool has_response_format = !inputs.json_schema.empty() && inputs.json_schema.is_object();
+    bool include_grammar = has_response_format || (has_tools &&
+            ((inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO && !trigger_marker.empty()) ||
+              inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED));
+
+    if (include_grammar) {
+        data.grammar_lazy = !has_response_format && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.at("parameters");
+                builder.resolve_refs(schema);
+            });
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
+
+        // Set grammar triggers based on tool section markers (fall back to per-call markers)
+        if (data.grammar_lazy) {
+            data.grammar_triggers = {
+                { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, trigger_marker }
+            };
+        }
+    }
+
+    return data;
+}
+
+common_peg_arena autoparser::build_parser(const templates_params & inputs) const {
+    if (!analysis_complete) {
+        throw std::invalid_argument("Cannot call build_parser on autoparser without performing analysis first, call analyze_template(...)");
+    }
+    return build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        // If the template uses Python dict format (single-quoted strings in JSON structures),
+        // pre-register a json-string rule that accepts both quote styles. This must happen
+        // before any call to p.json() so that all JSON parsing inherits the flexible rule.
+        if (tools.format.uses_python_dicts) {
+            p.rule("json-string", p.quoted_string());
+        }
+
+        parser_build_context ctx(p, inputs);
+        bool                 extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+        bool                 enable_thinking   = inputs.enable_thinking;
+
+        ctx.extracting_reasoning = extract_reasoning && enable_thinking && reasoning.mode != reasoning_mode::NONE;
+        ctx.content              = &content;
+
+        // Build reasoning parser
+        ctx.reasoning_parser = reasoning.build_parser(ctx);
+
+        bool has_tools           = inputs.tools.is_array() && !inputs.tools.empty();
+        bool has_response_format = inputs.json_schema.is_object() && !inputs.json_schema.empty();
+
+        if (has_response_format) {
+            auto response_format = p.rule("response-format", p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)));
+            return ctx.reasoning_parser + p.space() + p.choice({
+                p.literal("```json") + p.space() + response_format + p.space() + p.literal("```"),
+                response_format
+            }) + p.end();
+        }
+
+        if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) {
+            return tools.build_parser(ctx);
+        }
+
+        return content.build_parser(ctx);
+    });
+}
+
+common_peg_parser analyze_reasoning::build_parser(parser_build_context & ctx) const {
+    auto & p = ctx.p;
+
+    if (!ctx.extracting_reasoning) {
+        return p.eps();
+    }
+
+    bool thinking_forced_open   = (mode == reasoning_mode::FORCED_OPEN);
+    bool thinking_forced_closed = (mode == reasoning_mode::FORCED_CLOSED);
+
+    if (thinking_forced_open || thinking_forced_closed) {
+        // Thinking is forced open OR forced closed with enable_thinking=true
+        // In both cases, expect only the closing tag (opening was in template)
+        // However, since we might have incorrectly detected the open/close pattern,
+        // we admit an optional starting marker
+        return p.optional(p.literal(start)) + p.reasoning(p.until(end)) + end;
+    }
+    if (mode == reasoning_mode::TAG_BASED || mode == reasoning_mode::TOOLS_ONLY) {
+        // Standard tag-based reasoning OR tools-only mode (reasoning appears with tools)
+        // Both use the same tag-based pattern if markers are available
+        if (!start.empty() && !end.empty()) {
+            return p.optional(start + p.reasoning(p.until(end)) + end);
+        }
+    } else if (mode == reasoning_mode::DELIMITER) {
+        return p.optional(p.reasoning(p.until(end)) + end);
+    }
+
+    return p.eps();
+}
+
+common_peg_parser analyze_content::build_parser(parser_build_context & ctx) const {
+    auto & p = ctx.p;
+
+    if (is_always_wrapped()) {
+        if (ctx.extracting_reasoning) {
+            return ctx.reasoning_parser + start + p.content(p.until(end)) + end + p.end();
+        }
+        return p.content(p.until(start)) + start + p.content(p.until(end)) + end + p.end();
+    }
+    return ctx.reasoning_parser + p.content(p.rest()) + p.end();
+}
+
+common_peg_parser analyze_content::build_optional_wrapped(parser_build_context & ctx) const {
+    auto & p = ctx.p;
+
+    if (is_always_wrapped()) {
+        return p.optional(start + p.content(p.until(end)) + end);
+    }
+    return p.eps();
+}
+
+common_peg_parser analyze_tools::build_parser(parser_build_context & ctx) const {
+    switch (format.mode) {
+        case tool_format::JSON_NATIVE:
+            return build_tool_parser_json_native(ctx);
+        case tool_format::TAG_WITH_JSON:
+            return build_tool_parser_tag_json(ctx);
+        case tool_format::TAG_WITH_TAGGED:
+            return build_tool_parser_tag_tagged(ctx);
+        default:
+            LOG_ERR("[ERROR] Template seems to support tool calls, but failed to determine tool format. Tool calling will not work properly. "
+                "Check for a fixed template for your model in the models/templates directory of your llama.cpp installation or "
+                "report an issue at https://github.com/ggml-org/llama.cpp/issues\n");
+            return ctx.p.eps();
+    }
+}
+
+common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_context & ctx) const {
+    auto &       p           = ctx.p;
+    const auto & inputs      = ctx.inputs;
+    bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+    // Build effective field names with dot notation if function_field is set
+    std::string name_field = format.name_field;
+    std::string args_field = format.args_field;
+
+    if (!format.function_field.empty() && format.function_field != "function" &&
+        name_field.find('.') == std::string::npos) {
+        name_field = format.function_field + "." + name_field;
+        args_field = format.function_field + "." + args_field;
+    }
+
+    auto tools_parser = p.standard_json_tools(
+        format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
+        inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
+        format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+
+    // Handle content wrappers if present
+    if (ctx.content && ctx.content->is_always_wrapped()) {
+        auto wrapped_content = ctx.content->build_optional_wrapped(ctx);
+        return ctx.reasoning_parser + wrapped_content + tools_parser + p.end();
+    }
+
+    std::string tool_start = "{";
+    if (!format.section_start.empty()) {
+        tool_start = format.section_start;
+    } else if (!format.per_call_start.empty()) {
+        tool_start = format.per_call_start;
+    }
+
+    return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(p.until(tool_start)))) + tools_parser +
+           p.end();
+}
+
+common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context & ctx) const {
+    auto &       p           = ctx.p;
+    const auto & inputs      = ctx.inputs;
+    bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+    common_peg_parser tool_choice = p.choice();
+
+    foreach_function(inputs.tools, [&](const json & tool) {
+        const auto & func   = tool.at("function");
+        std::string  name   = func.at("name");
+        const auto & schema = func.at("parameters");
+
+        // Build call_id parser based on position (if supported)
+        common_peg_parser call_id_section = p.eps();
+        if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() &&
+            !call_id.suffix.empty()) {
+            call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix;
+        }
+
+        auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
+                           call_id_section + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema));
+        if (!function.close.empty()) {
+            func_parser = func_parser + function.close;
+        }
+        tool_choice |= p.rule("tool-" + name, func_parser);
+    });
+
+    auto require_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+    common_peg_parser tool_calls = p.eps();
+
+    if (!format.per_call_start.empty()) {
+        auto wrapped_call = format.per_call_start + tool_choice + format.per_call_end;
+        if (inputs.parallel_tool_calls) {
+            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call));
+        } else {
+            tool_calls = p.trigger_rule("tool-call", wrapped_call);
+        }
+        if (!format.section_start.empty()) {
+            tool_calls = p.trigger_rule("tool-calls",
+                                        p.literal(format.section_start) + p.space() + tool_calls + p.space() +
+                                            (format.section_end.empty() ? p.end() : p.literal(format.section_end)));
+        }
+    } else {
+        std::string separator = ", ";  // Default
+        if (inputs.parallel_tool_calls) {
+            tool_calls = p.trigger_rule("tool-call", format.section_start + tool_choice +
+                                                         p.zero_or_more(separator + tool_choice) + format.section_end);
+        } else {
+            tool_calls = p.trigger_rule("tool-call", format.section_start + tool_choice + format.section_end);
+        }
+    }
+
+    if (!require_calls) {
+        tool_calls = p.optional(tool_calls);
+    }
+
+    std::string trigger_marker       = !format.section_start.empty() ? format.section_start : format.per_call_start;
+    auto        content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker);
+    return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls +
+           p.end();
+}
+
+common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_context & ctx) const {
+    auto &       p           = ctx.p;
+    const auto & inputs      = ctx.inputs;
+    bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+    common_peg_parser tool_choice = p.choice();
+
+    foreach_function(inputs.tools, [&](const json & tool) {
+        const auto & func   = tool.at("function");
+        std::string  name   = func.at("name");
+        const auto & params = func.at("parameters");
+
+        if (!params.contains("properties") || !params.at("properties").is_object()) {
+            return;
+        }
+
+        const auto &          properties = params.at("properties");
+        std::set<std::string> required;
+        if (params.contains("required") && params.at("required").is_array()) {
+            params.at("required").get_to(required);
+        }
+
+        // Build parser for each argument, separating required and optional
+        std::vector<common_peg_parser> required_parsers;
+        std::vector<common_peg_parser> optional_parsers;
+        for (const auto & [param_name, param_schema] : properties.items()) {
+            bool        is_required = required.find(param_name) != required.end();
+            std::string type        = "object";
+            auto        type_obj    = param_schema.contains("type") ? param_schema.at("type") : json::object();
+            if (type_obj.is_string()) {
+                type_obj.get_to(type);
+            } else if (type_obj.is_object()) {
+                if (type_obj.contains("type") && type_obj.at("type").is_string()) {
+                    type_obj.at("type").get_to(type);
+                }
+            }
+
+            auto arg = p.tool_arg(
+                p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
+                                arguments.name_suffix) +
+                arguments.value_prefix +
+                (type == "string" ? p.tool_arg_string_value(p.schema(p.until(arguments.value_suffix),
+                                                                     "tool-" + name + "-arg-" + param_name + "-schema",
+                                                                     param_schema, true)) :
+                                    p.tool_arg_json_value(p.schema(
+                                        p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, format.uses_python_dicts)) +
+                                        p.space()) +
+                p.tool_arg_close(p.literal(arguments.value_suffix)));
+
+            auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
+            if (is_required) {
+                required_parsers.push_back(named_arg);
+            } else {
+                optional_parsers.push_back(named_arg);
+            }
+        }
+
+        // Build required arg sequence in definition order
+        common_peg_parser args_seq = p.eps();
+        for (size_t i = 0; i < required_parsers.size(); i++) {
+            if (i > 0) {
+                args_seq = args_seq + p.space();
+            }
+            args_seq = args_seq + required_parsers[i];
+        }
+
+        // Build optional args with flexible ordering
+        if (!optional_parsers.empty()) {
+            common_peg_parser any_opt = p.choice();
+            for (const auto & opt : optional_parsers) {
+                any_opt |= opt;
+            }
+            args_seq = args_seq + p.repeat(p.space() + any_opt, 0, (int) optional_parsers.size());
+        }
+
+        // Build call_id parser based on position (if supported)
+        common_peg_parser call_id_section = p.eps();
+        bool have_call_id = false;
+        if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() &&
+            !call_id.suffix.empty()) {
+            have_call_id = true;
+            call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix);
+        }
+
+        bool matched_atomic = false;
+        common_peg_parser func_parser = p.eps();
+        if (!function.name_suffix.empty()) {
+            func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
+                call_id_section + p.space() + args_seq;
+            matched_atomic = true;
+        } else if (have_call_id) {
+            func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
+                call_id_section) + p.space() + args_seq;
+            matched_atomic = true;
+        } else if (!arguments.name_prefix.empty() && properties.size() > 0) {
+            func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
+                call_id_section + p.space() + p.peek(p.literal(arguments.name_prefix))) + args_seq;
+            matched_atomic = true;
+        } else {
+            func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) +
+                call_id_section + p.space() + args_seq;
+        }
+
+        if (!function.close.empty()) {
+            func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close));
+        } else if (!format.per_call_end.empty()) {
+            // When there's no func_close but there is a per_call_end marker, use peek() to ensure
+            // we only emit tool_close when we can actually see the closing marker. This prevents
+            // premature closing during partial parsing when we've seen e.g. "</" which could be
+            // either "</tool_call>" (end) or "<arg_key>" prefix that failed to match.
+            func_parser = func_parser + p.tool_close(p.peek(p.literal(format.per_call_end)));
+        } else {
+            func_parser =
+                func_parser + p.tool_close(p.space());  // force this to process tool closing callbacks in mapper
+        }
+        if (!matched_atomic) {
+            func_parser = p.atomic(func_parser);
+        }
+
+        tool_choice |= p.rule("tool-" + name, func_parser);
+    });
+
+    auto require_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+    common_peg_parser tool_calls = p.eps();
+
+    if (!format.per_call_start.empty()) {
+        auto wrapped_call = format.per_call_start + p.space() + tool_choice + p.space() + format.per_call_end;
+        if (inputs.parallel_tool_calls) {
+            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call));
+        } else {
+            tool_calls = p.trigger_rule("tool-call", wrapped_call);
+        }
+        if (!format.section_start.empty()) {
+            tool_calls = p.trigger_rule("tool-calls",
+                                        p.literal(format.section_start) + p.space() + tool_calls + p.space() +
+                                            (format.section_end.empty() ? p.end() : p.literal(format.section_end)));
+        }
+    } else {
+        std::string separator = ", ";  // Default
+
+        if (inputs.parallel_tool_calls) {
+            tool_calls = p.trigger_rule("tool-call", format.section_start + p.space() + tool_choice +
+                                                         p.zero_or_more(separator + tool_choice) + p.space() +
+                                                         format.section_end);
+        } else {
+            tool_calls = p.trigger_rule(
+                "tool-call", format.section_start + p.space() + tool_choice + p.space() + format.section_end);
+        }
+    }
+
+    if (!require_tools) {
+        tool_calls = p.optional(tool_calls);
+    }
+
+    std::string trigger_marker       = !format.section_start.empty() ? format.section_start : format.per_call_start;
+    auto        content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker);
+    return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls +
+           p.end();
+}
+
+}  // namespace autoparser
diff --git a/common/chat-auto-parser-helpers.cpp b/common/chat-auto-parser-helpers.cpp
new file mode 100644
index 00000000000..787d7bab986
--- /dev/null
+++ b/common/chat-auto-parser-helpers.cpp
@@ -0,0 +1,347 @@
+#include "chat-auto-parser-helpers.h"
+
+#include "chat-auto-parser.h"
+#include "chat.h"
+#include "log.h"
+#include "nlohmann/json.hpp"
+
+#include <cctype>
+#include <numeric>
+
+using json = nlohmann::ordered_json;
+
+std::string trim_whitespace(const std::string & str) {
+    size_t start = 0;
+    while (start < str.length() && std::isspace(static_cast<unsigned char>(str[start]))) {
+        start++;
+    }
+
+    if (start == str.length()) {
+        return "";
+    }
+
+    size_t end = str.length() - 1;
+    while (end > start && std::isspace(static_cast<unsigned char>(str[end]))) {
+        end--;
+    }
+
+    return str.substr(start, end - start + 1);
+}
+
+std::string trim_leading_whitespace(const std::string & str) {
+    size_t start = 0;
+    while (start < str.length() && std::isspace(static_cast<unsigned char>(str[start]))) {
+        start++;
+    }
+
+    return str.substr(start);
+}
+
+std::string trim_trailing_whitespace(const std::string & str) {
+    if (str.empty()) {
+        return "";
+    }
+
+    size_t end = str.length() - 1;
+    while (end > 0 && std::isspace(static_cast<unsigned char>(str[end]))) {
+        end--;
+    }
+
+    // If first char is also whitespace, return empty string
+    if (end == 0 && std::isspace(static_cast<unsigned char>(str[0]))) {
+        return "";
+    }
+
+    return str.substr(0, end + 1);
+}
+
+std::string trim_trailing_newlines(const std::string & str) {
+    size_t end = str.length();
+    while (end > 0 && str[end - 1] == '\n') {
+        end--;
+    }
+
+    return str.substr(0, end);
+}
+
+static size_t common_prefix_len(const std::string & left, const std::string & right) {
+    size_t prefix_len = 0;
+    size_t min_len    = std::min(left.length(), right.length());
+    while (prefix_len < min_len && left[prefix_len] == right[prefix_len]) {
+        prefix_len++;
+    }
+    return prefix_len;
+}
+
+static size_t common_suffix_len(const std::string & left, const std::string & right) {
+    size_t suffix_len = 0;
+    size_t min_len    = std::min(left.length(), right.length());
+    while (suffix_len < min_len && left[left.length() - 1 - suffix_len] == right[right.length() - 1 - suffix_len]) {
+        suffix_len++;
+    }
+    return suffix_len;
+}
+
+diff_split calculate_diff_split(const std::string & left, const std::string & right) {
+    diff_split result;
+
+    auto left_seg = segmentize_markers(left);
+    auto right_seg = segmentize_markers(right);
+
+    if (left_seg.empty()) {
+        result.right = right;
+        return result;
+    }
+    if (right_seg.empty()) {
+        result.left = left;
+        return result;
+    }
+
+    auto left_start = left_seg.begin();
+    auto left_end = --left_seg.end();
+    auto right_start = right_seg.begin();
+    auto right_end = --right_seg.end();
+
+    auto test = [&] () {
+        return left_start != left_end && right_start != right_end;
+    };
+
+    bool left_fully_consumed = false;
+    bool right_fully_consumed = false;
+
+    while (test()) {
+        bool advanced = false;
+        if (*left_start == *right_start) {
+            result.prefix.append(left_start->value);
+            left_start++;
+            right_start++;
+            advanced = true;
+        }
+        if (*left_end == *right_end) {
+            result.suffix = left_end->value + result.suffix;
+            if (left_start != left_end) {
+                left_end--;
+            } else {
+                left_fully_consumed = true;
+            }
+            if (right_start != right_end) {
+                right_end--;
+            } else {
+                right_fully_consumed = true;
+            }
+            advanced = true;
+        }
+        if (!advanced) {
+            break;
+        }
+    }
+
+    if (left_start == left_end && right_start != right_end) {
+        if (*left_start == *right_end) {
+            result.suffix = right_end->value + result.suffix;
+            right_end--;
+            left_fully_consumed = true;
+        } else if (*left_start == *right_start) {
+            result.prefix.append(right_start->value);
+            right_start++;
+            left_fully_consumed = true;
+        }
+    } else if (right_start == right_end && left_start != left_end) {
+        if (*left_end == *right_start) {
+            result.suffix = left_end->value + result.suffix;
+            left_end--;
+            right_fully_consumed = true;
+        } else if (*left_start == *right_start) {
+            result.prefix.append(left_start->value);
+            left_start++;
+            right_fully_consumed = true;
+        }
+    } else if (left_start == left_end && right_start == right_end && *left_start == *right_start && left_start->type == segment_type::MARKER) {
+        result.prefix.append(right_start->value);
+        left_fully_consumed = true;
+        right_fully_consumed = true;
+    }
+
+    auto eat_segment = [](std::string str, const segment & seg) -> std::string { return std::move(str) + seg.value; };
+
+    bool can_have_text_suffix = left_end->type == segment_type::TEXT && right_end->type == segment_type::TEXT;
+    bool can_have_text_prefix = right_start->type == segment_type::TEXT && left_start->type == segment_type::TEXT;
+
+    std::string remainder_left = std::accumulate(left_start, left_fully_consumed ? left_end : ++left_end, std::string(), eat_segment);
+    std::string remainder_right = std::accumulate(right_start, right_fully_consumed ? right_end : ++right_end, std::string(), eat_segment);
+
+    size_t suffix_len = can_have_text_suffix ? common_suffix_len(remainder_left, remainder_right) : 0;
+    // avoid overlaps between prefix and suffix
+    size_t prefix_len = can_have_text_prefix ? common_prefix_len(remainder_left.substr(0, remainder_left.size() - suffix_len),
+        remainder_right.substr(0, remainder_right.size() - suffix_len)) : 0;
+
+    result.prefix.append(remainder_left.substr(0, prefix_len));
+    result.suffix = remainder_left.substr(remainder_left.length() - suffix_len, suffix_len) + result.suffix;
+    result.left = remainder_left.substr(prefix_len, remainder_left.length() - prefix_len - suffix_len);
+    result.right = remainder_right.substr(prefix_len, remainder_right.length() - prefix_len - suffix_len);
+
+    if (result.left == "" && result.right == "") {
+        // degenerate case, no diff
+        result.prefix = left;
+        result.suffix = "";
+        // pick prefix = all as representation
+    }
+    return result;
+}
+
+// Returns the prefix of `full` up until the first occurrence of the common prefix of `left` and `right`
+std::string until_common_prefix(const std::string & full, const std::string & left, const std::string & right) {
+    // Find the common prefix of left and right
+    size_t common_prefix_len = 0;
+    size_t min_len           = std::min(left.length(), right.length());
+    while (common_prefix_len < min_len && left[common_prefix_len] == right[common_prefix_len]) {
+        common_prefix_len++;
+    }
+
+    // If there's no common prefix, return empty string
+    if (common_prefix_len == 0) {
+        return "";
+    }
+
+    // Find the common prefix in the full string
+    std::string common_prefix = left.substr(0, common_prefix_len);
+    size_t      pos           = full.find(common_prefix);
+
+    // If not found, return empty string
+    if (pos == std::string::npos) {
+        return "";
+    }
+
+    // Return everything before the common prefix
+    return full.substr(0, pos);
+}
+
+// Returns the suffix of `full` after the last occurrence of the common suffix of `left` and `right`
+std::string after_common_suffix(const std::string & full, const std::string & left, const std::string & right) {
+    // Find the common suffix of left and right (compare from the end)
+    size_t common_suffix_len = 0;
+    size_t min_len           = std::min(left.length(), right.length());
+    while (common_suffix_len < min_len &&
+           left[left.length() - 1 - common_suffix_len] == right[right.length() - 1 - common_suffix_len]) {
+        common_suffix_len++;
+    }
+
+    // If there's no common suffix, return empty string
+    if (common_suffix_len == 0) {
+        return "";
+    }
+
+    // Extract the common suffix
+    std::string common_suffix = left.substr(left.length() - common_suffix_len);
+
+    // Find the last occurrence of the common suffix in the full string
+    size_t pos = full.rfind(common_suffix);
+
+    // If not found, return empty string
+    if (pos == std::string::npos) {
+        return "";
+    }
+
+    // Return everything after the common suffix
+    return full.substr(pos + common_suffix_len);
+}
+
+// TODO: segmentize will treat a JSON array inside tags as a tag: <calls>[{ "fun": { ... } }]</calls> will be three markers
+// not too worried about that because it hasn't turned out as a problem anywhere, but noting here in case it will
+// Might have to put some restrictions on tag contents as well (like "no { }")
+std::vector<segment> segmentize_markers(const std::string & text) {
+    std::vector<segment> retval;
+    bool in_marker = false;
+    char marker_opener = '\0';
+
+    auto is_marker_opener = [](char c) -> bool { return c == '<' || c == '['; };
+    auto is_marker_closer = [](char op, char c) -> bool { return (op == '<' && c == '>') || (op == '[' && c == ']'); };
+
+    size_t last_border = 0;
+
+    for (size_t cur_pos = 0; cur_pos < text.length(); cur_pos++) {
+        if (!in_marker && is_marker_opener(text[cur_pos])) {
+            if (last_border < cur_pos) {
+                retval.push_back(segment(segment_type::TEXT, text.substr(last_border, cur_pos - last_border)));
+            }
+            last_border = cur_pos;
+            in_marker = true;
+            marker_opener = text[cur_pos];
+        } else if (in_marker && is_marker_closer(marker_opener, text[cur_pos])) {
+            // no need to check because last_border will always be smaller
+                retval.push_back(segment(segment_type::MARKER, text.substr(last_border, cur_pos - last_border + 1)));
+            last_border = cur_pos + 1;
+            in_marker = false;
+            marker_opener = '\0';
+        }
+    }
+    if (last_border < text.length()) {
+            retval.push_back(segment(segment_type::TEXT, text.substr(last_border)));
+    }
+    return retval;
+}
+
+std::vector<segment> prune_whitespace_segments(const std::vector<segment> & segments) {
+    std::vector<segment> result;
+    for (const auto & seg : segments) {
+        if (!trim_whitespace(seg.value).empty()) {
+            result.push_back(seg);
+        }
+    }
+    return result;
+}
+
+namespace autoparser {
+
+std::string apply_template(const common_chat_template & tmpl, const template_params & params) {
+    templates_params tmpl_params;
+    tmpl_params.messages              = params.messages;
+    tmpl_params.tools                 = params.tools;
+    tmpl_params.add_generation_prompt = params.add_generation_prompt;
+    tmpl_params.enable_thinking       = params.enable_thinking;
+
+    if (params.extra_context) {
+        tmpl_params.extra_context = *params.extra_context;
+    }
+    tmpl_params.extra_context["enable_thinking"] = params.enable_thinking;
+
+    try {
+        return common_chat_template_direct_apply(tmpl, tmpl_params);
+    } catch (const std::exception & e) {
+        LOG_DBG("Template application failed: %s\n", e.what());
+        return "";
+    }
+}
+
+std::optional<compare_variants_result> compare_variants(
+    const common_chat_template &                   tmpl,
+    const template_params &                        params_A,
+    const std::function<void(template_params &)> & params_modifier) {
+    // Create variant B by copying A
+    template_params params_B = params_A;
+
+    // Apply modifier to create variant B
+    if (params_modifier) {
+        params_modifier(params_B);
+    }
+
+    // Apply template to both variants
+    std::string output_A = apply_template(tmpl, params_A);
+    std::string output_B = apply_template(tmpl, params_B);
+
+    // Check for template application failures
+    if (output_A.empty() || output_B.empty()) {
+        return std::nullopt;
+    }
+
+    // Calculate diff and return result with both outputs
+    compare_variants_result result;
+    result.diff     = calculate_diff_split(output_A, output_B);
+    result.output_A = output_A;
+    result.output_B = output_B;
+
+    return result;
+}
+
+}  // namespace autoparser
+
diff --git a/common/chat-auto-parser-helpers.h b/common/chat-auto-parser-helpers.h
new file mode 100644
index 00000000000..6e3df79db8a
--- /dev/null
+++ b/common/chat-auto-parser-helpers.h
@@ -0,0 +1,73 @@
+#pragma once
+
+#include "chat-auto-parser.h"
+#include <functional>
+#include <optional>
+#include <string>
+
+std::string trim_whitespace(const std::string & str);
+std::string trim_leading_whitespace(const std::string & str);
+std::string trim_trailing_whitespace(const std::string & str);
+std::string trim_trailing_newlines(const std::string & str);
+
+// calculate a diff split (longest common prefix, longest common suffix excluding prefix,
+// mismatched part on the left, mismatched part on the right) between two strings
+// account for markers - align prefix and suffix endings so that they end on markers
+// * eg.:
+// calculate_diff_split("<html><body><div></div></body></html>", "<html><body><p>Something</p></body><html>") ->
+//  { "prefix": "<html><body>" (not: "<html><body><"), "suffix": "</body></html>", "left": "<div></div>", "right": "<p>Something</p>" }
+// calculate_diff_split("<html><body>Something</body></html>", "<html><body></body><html>") ->
+//  { "prefix": "<html><body>", "suffix": "</body></html>", "left": "Something", "right": "" }
+diff_split calculate_diff_split(const std::string & left, const std::string & right);
+
+// Returns the prefix of `full` up until the first occurrence of the common prefix of `left` and `right`
+// Returns empty string if there's no common prefix
+// * eg.:
+// until_common_prefix("really want a FUNCTION call", "FUNCTION alpha", "FUNCTION beta") -> "really want a "
+// until_common_prefix("<tool_call>", "<something>", "<something_else>") -> ""
+// until_common_prefix("some text", "1234", "abcd") -> ""
+// until_common_prefix("one arg two args three args four", "argument alpha", "argument beta") -> "one ""
+std::string until_common_prefix(const std::string & full, const std::string & left, const std::string & right);
+
+// Returns the suffix of `full` after the last occurrence of the common suffix of `left` and `right`
+// Returns empty string if there's no common suffix
+// Mirror function of `until_common_prefix`
+// * eg.:
+// after_common_suffix("really want a FUNCTION call", "first FUNCTION", "second FUNCTION") -> " call"
+// after_common_suffix("one arg two-args three args four", "alpha-args", "beta-args") -> " three args four"
+std::string after_common_suffix(const std::string & full, const std::string & left, const std::string & right);
+
+// Segmentize text into markers and non-marker fragments
+// * eg.:
+// segmentize_markers("<html><head><title>The site title</title><body><div>Here's some <b>content</b></div></body></html>" ->
+//  [ (MARKER, "<html>"), (MARKER, "<head>"), (MARKER, "<title>"), (TEXT, "The site title"), (MARKER, "</title>"),
+//    (MARKER, "<body>"), (MARKER, "<div>"), (TEXT, "Here's some "), (MARKER, "<b>"), (TEXT, "content"), (MARKER, "</b>"),
+//    (MARKER, "</div>"), (MARKER, "</body>"), (MARKER, "</html>")
+//  ]
+// segmentize_markers("<|tool_call|>[args]{ are here }[/args]<|tool_call_end|>") ->
+//  [ (MARKER, "<|tool_call|>"), (MARKER, "[args]"), (TEXT, "{ are here }"), (MARKER, "[/args]"), (MARKER, "<|tool_call_end|>") ]
+std::vector<segment> segmentize_markers(const std::string & text);
+
+// Prune whitespace-only segments from a vector of segments
+// * eg.:
+// segmentize_markers("<tool_call>\n<function=foo>\n<arg=bar>\n   \n</arg>\n</function>\n</tool_call>") ->
+//  X = [ (MARKER, "<tool_call>"), (TEXT, "\n"), (MARKER, "<function=foo>"), (TEXT, "\n"), (MARKER, "<arg=bar>"), (TEXT, "\n   \n"),
+//        (MARKER, "</arg>"), (TEXT, "\n"), (MARKER, "</function>"), (TEXT, "\n"), (MARKER, "</tool_call>") ]
+// prune_whitespace_segments(X) -> [ (MARKER, "<tool_call>"), (MARKER, "<function=foo>"), (MARKER, "<arg=bar>"), (MARKER, "</arg>"),
+//                                   (MARKER, "</function>"), (MARKER, "</tool_call>") ]
+std::vector<segment> prune_whitespace_segments(const std::vector<segment> & segments);
+
+namespace autoparser {
+
+// Apply a template with the given parameters, returning the rendered string (empty on failure)
+std::string apply_template(const common_chat_template & tmpl, const template_params & params);
+
+// Factorized differential comparison function
+// Takes base params and a single modifier lambda to create variant B
+// Returns compare_variants_result containing diff and both outputs, or std::nullopt on failure
+std::optional<compare_variants_result> compare_variants(
+    const common_chat_template &                   tmpl,
+    const template_params &                        params_A,
+    const std::function<void(template_params &)> & params_modifier);
+
+}  // namespace autoparser
diff --git a/common/chat-auto-parser.h b/common/chat-auto-parser.h
new file mode 100644
index 00000000000..52c6488f4b4
--- /dev/null
+++ b/common/chat-auto-parser.h
@@ -0,0 +1,433 @@
+#pragma once
+
+#include "chat.h"
+#include "common.h"
+#include "jinja/caps.h"
+#include "peg-parser.h"
+
+#include <chrono>
+#include <optional>
+#include <string>
+#include <utility>
+#include <vector>
+
+using json = nlohmann::ordered_json;
+
+class common_chat_peg_builder;
+
+// ============================================================================
+// Parameters for template application (low-level, used by diff analysis)
+// ============================================================================
+struct template_params {
+    json                messages;
+    json                tools;
+    bool                add_generation_prompt = false;
+    bool                enable_thinking       = true;
+    std::optional<json> extra_context         = std::nullopt;
+};
+
+struct diff_split {
+    std::string prefix;
+    std::string suffix;
+    std::string left;
+    std::string right;
+
+    bool operator==(struct diff_split & other) const {
+        return prefix == other.prefix && suffix == other.suffix && left == other.left && right == other.right;
+    }
+};
+
+// Result of compare_variants containing diff and original outputs
+struct compare_variants_result {
+    diff_split  diff;
+    std::string output_A;
+    std::string output_B;
+};
+
+namespace autoparser {
+
+// ============================================================================
+// High-level params for parser generation
+// ============================================================================
+
+struct templates_params {
+    json                                  messages;
+    json                                  tools;
+    common_chat_tool_choice               tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO;
+    json                                  json_schema;
+    bool                                  parallel_tool_calls = true;
+    common_reasoning_format               reasoning_format    = COMMON_REASONING_FORMAT_AUTO;
+    bool                                  stream              = true;
+    std::string                           grammar;
+    bool                                  add_generation_prompt = false;
+    bool                                  enable_thinking       = true;
+    std::chrono::system_clock::time_point now                   = std::chrono::system_clock::now();
+    json                                  extra_context;
+    bool                                  add_bos       = false;
+    bool                                  add_eos       = false;
+    bool                                  is_inference  = true;
+    bool                                  add_inference = false;
+    bool                                  mark_input    = true;  // whether to mark input strings in the jinja context
+};
+
+// ============================================================================
+// Analysis Result Enums
+// ============================================================================
+
+// Reasoning handling mode (derived from R1-R3 comparisons)
+enum class reasoning_mode {
+    NONE,           // No reasoning markers detected
+    TAG_BASED,      // Standard tag-based: <think>...</think>
+    DELIMITER,      // Delimiter-based: [BEGIN FINAL RESPONSE] (reasoning ends at delimiter)
+    FORCED_OPEN,    // Template ends with open reasoning tag (empty start, non-empty end)
+    FORCED_CLOSED,  // Template ends with open reasoning tag on enabled thinking but
+                    // with both opened and closed tag for disabled thinking
+    TOOLS_ONLY      // Only reason on tool calls, not on normal content
+};
+
+inline std::ostream & operator<<(std::ostream & os, const reasoning_mode & mode) {
+    switch (mode) {
+        case reasoning_mode::NONE:
+            return os << "NONE";
+        case reasoning_mode::TAG_BASED:
+            return os << "TAG_BASED";
+        case reasoning_mode::DELIMITER:
+            return os << "DELIMITER";
+        case reasoning_mode::FORCED_OPEN:
+            return os << "FORCED_OPEN";
+        case reasoning_mode::FORCED_CLOSED:
+            return os << "FORCED_CLOSED";
+        case reasoning_mode::TOOLS_ONLY:
+            return os << "TOOLS_ONLY";
+        default:
+            return os << "UNKNOWN";
+    }
+}
+
+// Content wrapping mode (derived from C1 comparison)
+enum class content_mode {
+    PLAIN,                   // No content markers
+    ALWAYS_WRAPPED,          // Content always wrapped with markers
+    WRAPPED_WITH_REASONING,  // Content wrapped only when reasoning present
+};
+
+inline std::ostream & operator<<(std::ostream & os, const content_mode & mode) {
+    switch (mode) {
+        case content_mode::PLAIN:
+            return os << "PLAIN";
+        case content_mode::ALWAYS_WRAPPED:
+            return os << "ALWAYS_WRAPPED";
+        case content_mode::WRAPPED_WITH_REASONING:
+            return os << "WRAPPED_WITH_REASONING";
+        default:
+            return os << "UNKNOWN";
+    }
+}
+
+// Call ID position in tool calls (for non-JSON formats)
+enum class call_id_position {
+    NONE,                   // No call ID support detected
+    PRE_FUNC_NAME,          // Call ID before function name: [CALL_ID]id[FUNC]name{args}
+    BETWEEN_FUNC_AND_ARGS,  // Call ID between function and args: [FUNC]name[CALL_ID]id{args}
+    POST_ARGS,              // Call ID after arguments: [FUNC]name{args}[CALL_ID]id
+};
+
+inline std::ostream & operator<<(std::ostream & os, const call_id_position & pos) {
+    switch (pos) {
+        case call_id_position::NONE:
+            return os << "NONE";
+        case call_id_position::PRE_FUNC_NAME:
+            return os << "PRE_FUNC_NAME";
+        case call_id_position::BETWEEN_FUNC_AND_ARGS:
+            return os << "BETWEEN_FUNC_AND_ARGS";
+        case call_id_position::POST_ARGS:
+            return os << "POST_ARGS";
+        default:
+            return os << "UNKNOWN";
+    }
+}
+
+// Tool call format classification (derived from T1-T5, A1-A3 comparisons)
+enum class tool_format {
+    NONE,             // No tool support detected
+    JSON_NATIVE,      // Pure JSON: {"name": "X", "arguments": {...}}
+    TAG_WITH_JSON,    // Tag-based with JSON args: <function=X>{...}</function>
+    TAG_WITH_TAGGED,  // Tag-based with tagged args: <param=key>value</param>
+};
+
+inline std::ostream & operator<<(std::ostream & os, const tool_format & format) {
+    switch (format) {
+        case tool_format::NONE:
+            return os << "NONE";
+        case tool_format::JSON_NATIVE:
+            return os << "JSON_NATIVE";
+        case tool_format::TAG_WITH_JSON:
+            return os << "TAG_WITH_JSON";
+        case tool_format::TAG_WITH_TAGGED:
+            return os << "TAG_WITH_TAGGED";
+        default:
+            return os << "UNKNOWN";
+    }
+}
+
+// ============================================================================
+// Sub-structs for tool analysis
+// ============================================================================
+
+struct tool_format_analysis {
+    tool_format mode = tool_format::NONE;
+
+    std::string section_start;   // e.g., "<tool_call>", "[TOOL_CALLS]", ""
+    std::string section_end;     // e.g., "</tool_call>", ""
+    std::string per_call_start;  // e.g., "<|tool_call_begin|>", "" (for multi-call templates)
+    std::string per_call_end;    // e.g., "<|tool_call_end|>", ""
+
+    bool fun_name_is_key = false;       // In JSON format function name is JSON key, i.e. { "<funname>": { ... arguments ... } }
+    bool tools_array_wrapped = false;   // Tool calls wrapped in JSON array [...]
+    bool uses_python_dicts = false;     // Tool call args use Python dict format (single-quoted strings)
+
+    std::string              function_field = "function";
+    std::string              name_field     = "name";
+    std::string              args_field     = "arguments";
+    std::string              id_field;
+    std::string              gen_id_field;
+    std::vector<std::string> parameter_order;
+};
+
+struct tool_function_analysis {
+    std::string name_prefix;  // e.g., "<function=", "\"name\": \"", "functions."
+    std::string name_suffix;  // e.g., ">", "\"", ":0"
+    std::string close;        // e.g., "</function>", "" (for tag-based)
+};
+
+struct tool_arguments_analysis {
+    std::string start;          // e.g., "<|tool_call_argument_begin|>", "<args>"
+    std::string end;            // e.g., "<|tool_call_argument_end|>", "</args>"
+    std::string name_prefix;   // e.g., "<param=", "<arg_key>", "\""
+    std::string name_suffix;   // e.g., ">", "</arg_key>", "\":"
+    std::string value_prefix;  // e.g., "", "<arg_value>", ""
+    std::string value_suffix;  // e.g., "</param>", "</arg_value>", ""
+    std::string separator;     // e.g., "", "\n", ","
+};
+
+struct tool_id_analysis {
+    call_id_position pos = call_id_position::NONE;
+
+    std::string prefix;  // e.g., "[CALL_ID]" (marker before call ID value)
+    std::string suffix;  // e.g., "" (marker after call ID value, before next section)
+};
+
+// ============================================================================
+// Parser build context (shared interface for build_parser methods)
+// ============================================================================
+
+struct analyze_content;
+
+struct parser_build_context {
+    common_chat_peg_builder & p;
+    const templates_params &          inputs;
+    common_peg_parser                 reasoning_parser;
+    bool                              extracting_reasoning = false;
+    const analyze_content *           content              = nullptr;
+
+    parser_build_context(common_chat_peg_builder & p, const templates_params & inputs);
+};
+
+// ============================================================================
+// Base class for analyzers with parser building
+// ============================================================================
+
+struct analyze_base {
+    virtual ~analyze_base() = default;
+    virtual common_peg_parser build_parser(parser_build_context & ctx) const = 0;
+
+  protected:
+    const common_chat_template * tmpl = nullptr;
+
+    analyze_base() = default;
+    explicit analyze_base(const common_chat_template & tmpl) : tmpl(&tmpl) {}
+};
+
+// ============================================================================
+// Reasoning analyzer
+// ============================================================================
+
+struct analyze_reasoning : analyze_base {
+    reasoning_mode mode = reasoning_mode::NONE;
+
+    std::string start;  // e.g., "<think>", "[THINK]", "<|START_THINKING|>", ""
+    std::string end;    // e.g., "</think>", "[BEGIN FINAL RESPONSE]", "<|END_THINKING|>"
+
+    analyze_reasoning() = default;
+    analyze_reasoning(const common_chat_template & tmpl, bool supports_tools);
+
+    common_peg_parser build_parser(parser_build_context & ctx) const override;
+
+  private:
+    // Look for reasoning markers in rendered content
+    void compare_reasoning_presence();
+
+    // Compare generation prompt with enable_thinking=true vs false
+    void compare_thinking_enabled();
+
+    // Check if reasoning is always possible or only in tool calls
+    void compare_reasoning_scope();
+};
+
+// ============================================================================
+// Content analyzer
+// ============================================================================
+
+struct analyze_content : analyze_base {
+    content_mode mode = content_mode::PLAIN;
+
+    std::string start;  // e.g., "<response>", ">>>all\n", ""
+    std::string end;    // e.g., "</response>", ""
+
+    bool requires_nonnull_content = false;
+
+    analyze_content() = default;
+    analyze_content(const common_chat_template & tmpl, const analyze_reasoning & reasoning);
+
+    common_peg_parser build_parser(parser_build_context & ctx) const override;
+
+    bool is_always_wrapped() const;
+    common_peg_parser build_optional_wrapped(parser_build_context & ctx) const;
+};
+
+// ============================================================================
+// Tool analyzer
+// ============================================================================
+
+struct analyze_tools : analyze_base {
+    tool_format_analysis    format;
+    tool_function_analysis  function;
+    tool_arguments_analysis arguments;
+    tool_id_analysis        call_id;
+
+    analyze_tools() = default;
+    analyze_tools(const common_chat_template & tmpl,
+                  const jinja::caps &          caps,
+                  const analyze_reasoning &    reasoning);
+
+    common_peg_parser build_parser(parser_build_context & ctx) const override;
+
+  private:
+    // Extract tool calling 'haystack' for further analysis and delegate further analysis based on format
+    void analyze_tool_calls(const analyze_reasoning & reasoning);
+
+    // Analyze format based on position of function and argument name in needle
+    void analyze_tool_call_format(const std::string &       haystack,
+                                  const std::string &       fun_name_needle,
+                                  const std::string &       arg_name_needle,
+                                  const analyze_reasoning & reasoning);
+
+    // Analyze specifics of JSON native format (entire tool call is a JSON object)
+    void analyze_tool_call_format_json_native(const std::string & clean_haystack,
+                                              const std::string & fun_name_needle,
+                                              const std::string & arg_name_needle);
+
+    // Analyze specifics of non-JSON native format (tags for function name or for function name and arguments)
+    void analyze_tool_call_format_non_json(const std::string & clean_haystack,
+                                           const std::string & fun_name_needle);
+
+    // Check for and extract specific per-call markers for non-native-JSON templates with parallel call support
+    void check_per_call_markers();
+
+    // Extract function name markers
+    void extract_function_markers();
+
+    // Delegates to separate functions for: separator analysis, argument name analysis, argument value analysis
+    void analyze_arguments();
+
+    // Extract argument name markers
+    void extract_argument_name_markers();
+
+    // Extract argument value markers
+    void extract_argument_value_markers();
+
+    // Extract argument separator, if specified (eg. <arg=foo>...</arg><sep><arg=bar>...</arg>)
+    void extract_argument_separator();
+
+    // Extract argument wrapper markers, if present (eg. '<args><arg=foo>...</arg><arg=bar>...</arg></args>')
+    void extract_args_markers();
+
+    // Extract call ID markers, if present
+    void extract_call_id_markers();
+
+    // Per-format tool parser builders
+    common_peg_parser build_tool_parser_json_native(parser_build_context & ctx) const;
+    common_peg_parser build_tool_parser_tag_json(parser_build_context & ctx) const;
+    common_peg_parser build_tool_parser_tag_tagged(parser_build_context & ctx) const;
+};
+
+// ============================================================================
+// Main autoparser class
+// ============================================================================
+
+struct autoparser {
+    jinja::caps          jinja_caps;
+    analyze_reasoning    reasoning;
+    analyze_content      content;
+    analyze_tools        tools;
+    bool                 analysis_complete = false;
+
+    // Preserved tokens for tokenizer (union of all non-empty markers)
+    std::vector<std::string> preserved_tokens;
+
+    autoparser() = default;
+
+    // Run full differential analysis on a template
+    void analyze_template(const common_chat_template & tmpl);
+
+    // Build the PEG parser for this template
+    common_peg_arena build_parser(const templates_params & inputs) const;
+
+  private:
+    // Collect tokens from entire analysis to preserve
+    void collect_preserved_tokens();
+};
+
+// ============================================================================
+// Parser generator
+// ============================================================================
+
+class peg_generator {
+  public:
+    static common_chat_params generate_parser(const common_chat_template &    tmpl,
+                                              const struct templates_params & inputs);
+
+    static common_chat_params generate_parser(const common_chat_template &    tmpl,
+                                              const struct templates_params & inputs,
+                                              const autoparser &              autoparser);
+};
+
+}  // namespace autoparser
+
+enum segment_type { TEXT, MARKER };
+
+inline std::ostream & operator<<(std::ostream & os, const segment_type & type) {
+    switch (type) {
+        case segment_type::TEXT:
+            return os << "TEXT";
+        case segment_type::MARKER:
+            return os << "MARKER";
+        default:
+            return os << "UNKNOWN";
+    }
+}
+
+struct segment {
+    segment_type type;
+    std::string  value;
+
+    segment(segment_type type, std::string value) : type(type), value(std::move(value)) {}
+
+    bool operator==(const segment & other) const {
+        return type == other.type && value == other.value;
+    }
+
+    bool operator!=(const segment & other) const {
+        return !(*this == other);
+    }
+};
diff --git a/common/chat-diff-analyzer.cpp b/common/chat-diff-analyzer.cpp
new file mode 100644
index 00000000000..4068340a5c0
--- /dev/null
+++ b/common/chat-diff-analyzer.cpp
@@ -0,0 +1,1330 @@
+#include "chat-auto-parser.h"
+#include "chat-auto-parser-helpers.h"
+#include "chat-peg-parser.h"
+#include "chat.h"
+#include "log.h"
+#include "nlohmann/json.hpp"
+#include "peg-parser.h"
+
+#include <algorithm>
+
+#define ANSI_RESET  "\033[0m"
+#define ANSI_PURPLE "\033[1m\x1b[38;5;126m"
+#define ANSI_ORANGE "\033[1m\x1b[38;5;214m"
+#define ANSI_RED    "\033[1m\x1b[38;5;196m"
+
+using json = nlohmann::ordered_json;
+
+namespace autoparser {
+
+static const std::string FUN_FIRST = "FFF_FIRST_FUN_F";
+static const std::string FUN_SECOND = "SSS_SECOND_FUN_S";
+static const std::string ARG_FIRST = "AA_ARG_FST_AA";
+static const std::string ARG_SECOND = "BB_ARG_SND_BB";
+static const std::string USER_MSG = "U_USER_MSG Hello END_U";
+static const std::string ASSISTANT_MSG = "A_ASST_MSG I can help END_A";
+static const std::string THINKING_CONTENT = "REASON_PART I am thinking END_R";
+
+static std::vector<std::function<void(const common_chat_template & tmpl, autoparser &)>> workarounds(
+    { // Old reasoning Qwen templates - they don't really display reasoning content, but we still want to
+      // support reasoning on them
+      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
+          if (tmpl.src.find("content.split('</think>')") != std::string::npos &&
+              tmpl.src.find("reasoning_content") == std::string::npos &&
+              analysis.reasoning.mode == reasoning_mode::NONE) {
+              analysis.reasoning.mode  = reasoning_mode::FORCED_OPEN;
+              analysis.reasoning.start = "<think>";
+              analysis.reasoning.end   = "</think>";
+              analysis.preserved_tokens.push_back("<think>");
+              analysis.preserved_tokens.push_back("</think>");
+              LOG_DBG(ANSI_ORANGE "[Patch: old Qwen/Deepseek thinking template]\n" ANSI_RESET);
+          }
+      },
+      // Granite 3.3, with separate reasoning and content markers
+      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
+          if (tmpl.src.find("Write your thoughts between <think></think> and write your response between "
+                            "<response></response>") != std::string::npos) {
+              analysis.reasoning.mode  = reasoning_mode::TAG_BASED;
+              analysis.reasoning.start = "<think>";
+              analysis.reasoning.end   = "</think>";
+              analysis.preserved_tokens.push_back("<think>");
+              analysis.preserved_tokens.push_back("</think>");
+              analysis.content.mode  = content_mode::WRAPPED_WITH_REASONING;
+              analysis.content.start = "<response>";
+              analysis.content.end   = "</response>";
+              analysis.preserved_tokens.push_back("<response>");
+              analysis.preserved_tokens.push_back("</response>");
+              LOG_DBG(ANSI_ORANGE "[Patch: Granite 3.3]\n" ANSI_RESET);
+          }
+      },
+      // Cohere Command R+ - content wrapped in <|CHATBOT_TOKEN|>...<|END_OF_TURN_TOKEN|>
+      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
+          if (tmpl.src.find("<|CHATBOT_TOKEN|>") != std::string::npos &&
+              tmpl.src.find("<|END_OF_TURN_TOKEN|>") != std::string::npos && analysis.content.start.empty()) {
+              analysis.content.mode  = content_mode::ALWAYS_WRAPPED;
+              analysis.content.start = "<|CHATBOT_TOKEN|>";
+              analysis.content.end   = "<|END_OF_TURN_TOKEN|>";
+              analysis.preserved_tokens.push_back("<|CHATBOT_TOKEN|>");
+              analysis.preserved_tokens.push_back("<|END_OF_TURN_TOKEN|>");
+              LOG_DBG(ANSI_ORANGE "[Patch: Cohere Command R+]\n" ANSI_RESET);
+          }
+      },
+      // Functionary - no tool call section delimiter
+      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
+          if (tmpl.src.find("set has_code_interpreter = tools | selectattr(\"type\", \"equalto\", "
+                            "\"code_interpreter\") | list | length > 0") != std::string::npos) {
+              analysis.content.mode                = content_mode::PLAIN;
+              analysis.content.end                 = "";
+              analysis.tools.function.name_prefix  = "";
+              analysis.tools.format.section_start  = "";
+              analysis.tools.format.section_end    = "";
+              analysis.tools.format.per_call_start = "<function=";
+              analysis.tools.format.per_call_end   = "</function>";
+              analysis.tools.function.close        = "";
+              analysis.preserved_tokens.clear();
+              analysis.preserved_tokens.push_back("<|eot_id|>");
+              analysis.preserved_tokens.push_back("<|eom_id|>");
+              analysis.preserved_tokens.push_back("<function=");
+              analysis.preserved_tokens.push_back(">");
+              analysis.preserved_tokens.push_back("</function>");
+              LOG_DBG(ANSI_ORANGE "[Patch: Functionary 3.1]\n" ANSI_RESET);
+          }
+      },
+      // DeepSeek-R1-Distill-Qwen
+      [](const common_chat_template & tmpl, autoparser & analysis) -> void {
+          if (tmpl.src.find(
+                  "{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>'") !=
+              std::string::npos) {
+              analysis.tools.format.section_start  = "<｜tool▁calls▁begin｜>";
+              analysis.tools.format.section_end    = "<｜tool▁calls▁end｜>";
+              analysis.tools.format.per_call_start = "<｜tool▁call▁begin｜>function";
+              analysis.tools.function.name_prefix  = "<｜tool▁sep｜>";
+              analysis.tools.format.per_call_end   = "<｜tool▁call▁end｜>";
+              analysis.tools.function.close        = "```";
+          }
+      }
+    });
+
+// Common JSON structures
+static json params_schema = {
+    { "type",       "object"                                                           },
+    { "properties",
+     { { ARG_FIRST, { { "type", "string" }, { "description", "First argument" } } },
+        { ARG_SECOND, { { "type", "string" }, { "description", "Second argument" } } } } },
+    { "required",   json::array({})                                                    }
+};
+
+static json tools = json::array({
+    { { "type", "function" },
+     { "function",
+        json{ { "name", FUN_FIRST }, { "description", "Test function foo" }, { "parameters", params_schema } } } },
+    { { "type", "function" },
+     { "function",
+        json{ { "name", FUN_SECOND }, { "description", "Test function bar" }, { "parameters", params_schema } } } }
+});
+
+static json user_msg = json{
+    { "role",    "user"  },
+    { "content", USER_MSG }
+};
+
+static json build_tool_call(const std::string & name, const json & args, const std::string & id = "call00001") {
+    return json{
+        { "id",       id                                              },
+        { "type",     "function"                                      },
+        { "function", json{ { "name", name }, { "arguments", args } } }
+    };
+}
+
+static json first_tool_call_zero_args         = build_tool_call(FUN_FIRST, json::object(), "call00001");
+static json first_tool_call_one_arg           = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "XXXX" }}, "call00001");
+static json first_tool_call_one_arg_other_val = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "YYYY" }}, "call00001");
+static json first_tool_call_other_arg         = build_tool_call(FUN_FIRST, {{ ARG_SECOND, "YYYY" }}, "call00001");
+
+static json first_tool_call =
+    build_tool_call(FUN_FIRST, json{{ ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00001");
+static json second_tool_call =
+    build_tool_call(FUN_SECOND, json{ { ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00002");
+static json first_tool_call_alt_id =
+    build_tool_call(FUN_FIRST, json{{ ARG_FIRST,  "XXXX" }, { ARG_SECOND, "YYYY" }}, "call99999");
+
+template <typename T>
+static std::string mode_to_str(T mode) {
+    std::ostringstream os;
+    os << mode;
+    return os.str();
+}
+
+void autoparser::analyze_template(const common_chat_template & tmpl) {
+    jinja_caps = tmpl.original_caps();
+    reasoning = analyze_reasoning(tmpl, jinja_caps.supports_tool_calls);
+    content = analyze_content(tmpl, reasoning);
+    tools = analyze_tools(jinja_caps.supports_tool_calls ? analyze_tools(tmpl, jinja_caps, reasoning) : analyze_tools());
+    collect_preserved_tokens();
+
+    for (auto & workaround : workarounds) {
+        workaround(tmpl, *this);
+    }
+
+    LOG_DBG("\n--- Reasoning & Content Structure ---\n");
+    LOG_DBG("reasoning_mode: %s\n", mode_to_str(reasoning.mode).c_str());
+    LOG_DBG("reasoning_start: '%s'\n", reasoning.start.c_str());
+    LOG_DBG("reasoning_end: '%s'\n", reasoning.end.c_str());
+    LOG_DBG("content_mode: %s\n", mode_to_str(content.mode).c_str());
+    LOG_DBG("content_start: '%s'\n", content.start.c_str());
+    LOG_DBG("content_end: '%s'\n", content.end.c_str());
+
+    LOG_DBG("\n--- Tool Call Structure ---\n");
+    LOG_DBG("tool_mode: %s\n", mode_to_str(tools.format.mode).c_str());
+    LOG_DBG("supports_tools: %s\n", jinja_caps.supports_tools ? "true" : "false");
+    LOG_DBG("supports_parallel_calls: %s\n", jinja_caps.supports_parallel_tool_calls ? "true" : "false");
+    LOG_DBG("tool_section_start: '%s'\n", tools.format.section_start.c_str());
+    LOG_DBG("tool_section_end: '%s'\n", tools.format.section_end.c_str());
+    LOG_DBG("per_call_start: '%s'\n", tools.format.per_call_start.c_str());
+    LOG_DBG("per_call_end: '%s'\n", tools.format.per_call_end.c_str());
+    LOG_DBG("func_name_prefix: '%s'\n", tools.function.name_prefix.c_str());
+    LOG_DBG("func_name_suffix: '%s'\n", tools.function.name_suffix.c_str());
+    LOG_DBG("func_close: '%s'\n", tools.function.close.c_str());
+    LOG_DBG("python_dict_format: %s\n", tools.format.uses_python_dicts ? "true" : "false");
+    LOG_DBG("arg_name_prefix: '%s'\n", tools.arguments.name_prefix.c_str());
+    LOG_DBG("arg_name_suffix: '%s'\n", tools.arguments.name_suffix.c_str());
+    LOG_DBG("arg_value_prefix: '%s'\n", tools.arguments.value_prefix.c_str());
+    LOG_DBG("arg_value_suffix: '%s'\n", tools.arguments.value_suffix.c_str());
+    LOG_DBG("name_field: '%s'\n", tools.format.name_field.c_str());
+    LOG_DBG("args_field: '%s'\n", tools.format.args_field.c_str());
+    LOG_DBG("id_field: '%s'\n", tools.format.id_field.c_str());
+    LOG_DBG("gen_id_field: '%s'\n", tools.format.gen_id_field.c_str());
+    LOG_DBG("parameter_order: '%s'\n", std::accumulate(tools.format.parameter_order.begin(), tools.format.parameter_order.end(),
+        std::string(""), [] (const std::string & a, const std::string & b) { return a.empty() ? b : a + ", " + b; }
+        ).c_str());
+
+    LOG_DBG(ANSI_PURPLE "=== Differential analysis complete ===\n" ANSI_RESET);
+    analysis_complete = true;
+}
+
+void autoparser::collect_preserved_tokens() {
+    auto add_token = [this](const std::string & org_token) {
+        std::string token = trim_whitespace(org_token);
+        if (!token.empty()) {
+            // Avoid duplicates
+            if (std::find(preserved_tokens.begin(), preserved_tokens.end(), token) == preserved_tokens.end()) {
+                preserved_tokens.push_back(token);
+            }
+        }
+    };
+
+    add_token(reasoning.start);
+    add_token(reasoning.end);
+    add_token(content.start);
+    add_token(content.end);
+    add_token(tools.format.section_start);
+    add_token(tools.format.section_end);
+    add_token(tools.format.per_call_start);
+    add_token(tools.format.per_call_end);
+    add_token(tools.function.name_prefix);
+    add_token(tools.function.name_suffix);
+    add_token(tools.function.close);
+    add_token(tools.arguments.start);
+    add_token(tools.arguments.end);
+    add_token(tools.arguments.name_prefix);
+    add_token(tools.arguments.name_suffix);
+    add_token(tools.arguments.separator);
+    add_token(tools.arguments.value_prefix);
+    add_token(tools.arguments.value_suffix);
+    add_token(tools.call_id.prefix);
+    add_token(tools.call_id.suffix);
+}
+
+analyze_reasoning::analyze_reasoning(const common_chat_template & tmpl, bool supports_tools)
+    : analyze_base(tmpl) {
+    LOG_DBG(ANSI_PURPLE "=== Starting differential analysis ===\n" ANSI_RESET);
+    LOG_DBG(ANSI_ORANGE "Phase 1: Reasoning analysis\n" ANSI_RESET);
+
+    compare_reasoning_presence();
+    compare_thinking_enabled();
+    if (supports_tools) {
+        compare_reasoning_scope();
+    }
+}
+
+void analyze_reasoning::compare_reasoning_presence() {
+    json user_msg = json{
+        { "role",    "user"  },
+        { "content", USER_MSG }
+    };
+
+    json assistant_no_reasoning = json{
+        { "role",    "assistant"   },
+        { "content", ASSISTANT_MSG }
+    };
+
+    json assistant_with_reasoning = json{
+        { "role",              "assistant"                },
+        { "content",           ASSISTANT_MSG              },
+        { "reasoning_content", THINKING_CONTENT           }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_no_reasoning });
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_with_reasoning }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed, skipping reasoning detection\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    const std::string reasoning_content = THINKING_CONTENT;
+
+    if (!diff.right.empty() && diff.right.find(reasoning_content) != std::string::npos) {
+        auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())) + p.rest());
+        });
+        auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
+        });
+        // try the more aggressive parse first, if it fails, fall back to the delimiter one
+        auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
+        if (!result.result.success()) {
+            result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B);
+        }
+        if (result.result.success()) {
+            if (!result.tags["pre"].empty() && !result.tags["post"].empty()) {
+                if (parser_wrapped.parse_anywhere_and_extract(diff.right).result.success()) { // both tags in the diff = no forced close
+                    mode = reasoning_mode::TAG_BASED;
+                } else {
+                    mode = reasoning_mode::FORCED_CLOSED;
+                }
+                start = trim_whitespace(result.tags["pre"]);
+                end   = result.tags["post"];
+            } else if (!result.tags["post"].empty()) {
+                mode = reasoning_mode::DELIMITER;
+                end = result.tags["post"];
+            }
+        }
+    }
+}
+
+void analyze_reasoning::compare_thinking_enabled() {
+    json user_msg = json{
+        { "role",    "user"  },
+        { "content", USER_MSG }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg });
+    params.add_generation_prompt = true;
+    params.enable_thinking       = false;
+
+    auto comparison = compare_variants(*tmpl, params, [&](template_params & p) { p.enable_thinking = true; });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET , __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    std::string left_trimmed = trim_whitespace(diff.left);
+
+    if (left_trimmed.empty() && !diff.right.empty()) {
+        std::string right_trimmed = trim_whitespace(diff.right);
+
+        if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) {
+            if (start.empty()) {
+                start = right_trimmed;
+                mode  = reasoning_mode::FORCED_OPEN;
+            }
+        }
+    }
+
+    if (start.empty() && !end.empty()) {
+        mode = reasoning_mode::DELIMITER;
+    }
+
+    // Check for FORCED_CLOSED: when enable_thinking=false produces both start and end markers,
+    // but enable_thinking=true produces only the start marker
+    if (!comparison->output_A.empty() && !comparison->output_B.empty()) {
+        auto parser_start = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.literal(start) + p.space() + p.literal(end) + p.rest();
+        });
+        auto parser_start_end = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("pre", p.literal(start)) + p.space() + p.negate(p.literal(end)) + p.rest();
+        });
+        if (!start.empty() && parser_start_end.parse_anywhere_and_extract(comparison->output_A).result.success() &&
+            parser_start.parse_anywhere_and_extract(comparison->output_B).result.success()) {
+            mode = reasoning_mode::FORCED_CLOSED;
+        } else if (!end.empty()) { // we extract the starting marker now since we didn't get it earlier
+            auto result = parser_start_end.parse_anywhere_and_extract(comparison->output_A);
+            if (result.result.success()) {
+                start = result.tags["pre"];
+                mode  = reasoning_mode::FORCED_CLOSED;
+            }
+        }
+    }
+
+    if (start.empty() && end.empty()) {  // we might still have the case of "just open" and "just close"
+        if (!diff.left.empty() && !diff.right.empty()) {
+            auto seg_A = segmentize_markers(trim_trailing_whitespace(diff.left));
+            auto seg_B = segmentize_markers(trim_trailing_whitespace(diff.right));
+            if (seg_A.size() == 1 && seg_B.size() == 1) {
+                mode = reasoning_mode::FORCED_CLOSED;
+                start = seg_B[0].value;
+                end = seg_A[0].value;
+            }
+        }
+    }
+}
+
+void analyze_reasoning::compare_reasoning_scope() {
+    json assistant_reasoning_content = json{
+        { "role",              "assistant"      },
+        { "content",           ASSISTANT_MSG    },
+        { "reasoning_content", THINKING_CONTENT }
+    };
+
+    json assistant_reasoning_tools = json{
+        { "role",              "assistant"                                                                  },
+        { "content",           nullptr                                                                      },
+        { "reasoning_content", THINKING_CONTENT                                                             },
+        { "tool_calls",
+         json::array({ build_tool_call(FUN_FIRST, json{ { ARG_FIRST, "VVVV" }, { ARG_SECOND, "XXXX" } }) }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_reasoning_content });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_reasoning_tools }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    std::string reasoning_content = THINKING_CONTENT;
+
+    // Check if reasoning only appears in variant B (with tools)
+    bool reasoning_in_A = comparison->output_A.find(reasoning_content) != std::string::npos;
+    bool reasoning_in_B = comparison->output_B.find(reasoning_content) != std::string::npos;
+
+    if (!reasoning_in_A && reasoning_in_B) {
+        mode = reasoning_mode::TOOLS_ONLY;
+        LOG_DBG(ANSI_ORANGE "%s: Detected TOOLS_ONLY reasoning mode\n" ANSI_RESET, __func__);
+
+        auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space()));
+        });
+        auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
+        if (result.result.success()) {
+            start = result.tags["pre"];
+            end = result.tags["post"];
+        } else {
+            auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+                return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())));
+            });
+            result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B);
+            if (result.result.success()) {
+                end = result.tags["post"];
+            } else {
+                LOG_DBG(ANSI_ORANGE "%s: Unable to extracft reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__);
+                mode = reasoning_mode::NONE;
+            }
+        }
+    }
+}
+
+analyze_content::analyze_content(const common_chat_template & tmpl, const analyze_reasoning & reasoning)
+    : analyze_base(tmpl) {
+    LOG_DBG(ANSI_ORANGE "Phase 2: Content analysis\n" ANSI_RESET);
+
+    json assistant_content_only = json{
+        { "role",    "assistant"     },
+        { "content", ASSISTANT_MSG   }
+    };
+
+    json assistant_with_tools = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ build_tool_call("test_func", json{ { "arg1", "value1" } }) }) }
+    };
+
+    json assistant_with_reasoning = json{
+        { "role",              "assistant"      },
+        { "content",           ""               },
+        { "reasoning_content", THINKING_CONTENT }
+    };
+
+    template_params params_content_only;
+    params_content_only.messages              = json::array({ user_msg, assistant_content_only });
+    params_content_only.add_generation_prompt = false;
+    params_content_only.enable_thinking       = true;
+    params_content_only.tools                 = tools;
+
+    auto comparison_with_tools = compare_variants(tmpl, params_content_only, [&](template_params & p) {
+        p.messages = json::array({ user_msg, assistant_with_tools });
+    });
+
+    auto comparison_with_reasoning = compare_variants(tmpl, params_content_only, [&](template_params & p) {
+        p.messages = json::array({ user_msg, assistant_with_reasoning });
+    });
+
+    if (!comparison_with_tools || !comparison_with_reasoning) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+    }
+
+    const auto & diff_tools     = comparison_with_tools->diff;
+    const auto & diff_reasoning = comparison_with_reasoning->diff;
+
+    std::string response = ASSISTANT_MSG;
+
+    bool found_plain_content = false;
+    if (trim_whitespace(diff_tools.left) == response) {
+        auto parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+            return p.space() + diff_reasoning.left + p.space() + p.optional(p.marker()) + p.space() + p.end();
+        });
+        if (parser.parse_and_extract(diff_reasoning.left).result.success()) {
+            // We only have the content text in the diff (possibly with a stray EOG marker), so no markers
+            mode = content_mode::PLAIN;
+            found_plain_content = true;
+        } else if (reasoning.mode != reasoning_mode::NONE && !reasoning.end.empty()) {
+            auto post_reasoning_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+                return p.literal(reasoning.end) + p.space() + p.literal(response);
+            });
+            if (post_reasoning_parser.parse_anywhere_and_extract(diff_reasoning.left).result.success()) {
+                mode = content_mode::PLAIN;
+                found_plain_content = true;
+            }
+        }
+    }
+    if (!found_plain_content) {
+        std::string rdiff = diff_reasoning.left;
+        if (!reasoning.end.empty() && rdiff.find(reasoning.end) != std::string::npos) {
+            rdiff = rdiff.substr(rdiff.find(reasoning.end) + reasoning.end.length());
+        }
+        // Take the more promising diff
+        std::string pure_content = rdiff.length() > diff_tools.left.length() ? rdiff : diff_tools.left;
+        auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("pre", p.marker()) + p.space() + p.literal(response) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
+        });
+        auto result = parser_wrapped.parse_anywhere_and_extract(pure_content);
+        start = result.tags["pre"];
+        end = result.tags["post"];
+        // TODO: WRAPPED_WITH_REASONING
+    }
+
+    // Determine content mode
+    if (!start.empty() || !end.empty()) {
+        mode = content_mode::ALWAYS_WRAPPED;
+        // TODO: END_DELIMITED content mode - delimited at end but not at start?
+    }
+}
+
+bool analyze_content::is_always_wrapped() const {
+    return mode == content_mode::ALWAYS_WRAPPED && !start.empty() && !end.empty();
+}
+
+analyze_tools::analyze_tools(const common_chat_template & tmpl,
+                             const jinja::caps &          caps,
+                             const analyze_reasoning &    reasoning)
+    : analyze_base(tmpl) {
+    LOG_DBG(ANSI_ORANGE "Phase 3: Tool call analysis\n" ANSI_RESET);
+
+    analyze_tool_calls(reasoning);
+
+    if (format.mode != tool_format::NONE && format.mode != tool_format::JSON_NATIVE) {
+        if (caps.supports_parallel_tool_calls) {
+            check_per_call_markers();
+        }
+        extract_function_markers();
+        if (format.mode == tool_format::TAG_WITH_TAGGED) {
+            analyze_arguments();
+        }
+        extract_argument_separator();
+        extract_args_markers();
+        extract_call_id_markers();
+    }
+}
+
+void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) {
+    json assistant_no_tools = json{
+        { "role",    "assistant"   },
+        { "content", ASSISTANT_MSG }
+    };
+
+    json assistant_with_tools = json{
+        { "role",       "assistant"                      },
+        { "content",    ""                               },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_no_tools });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_with_tools }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    std::string tool_section = diff.right;
+
+    if (tool_section.empty()) {
+        return;
+    }
+
+    analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning);
+}
+
+void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
+                                             const std::string &       fun_name_needle,
+                                             const std::string &       arg_name_needle,
+                                             const analyze_reasoning & reasoning) {
+    if (fun_name_needle.empty() || arg_name_needle.empty() || haystack.empty()) {
+        return;
+    }
+
+    enum class json_quote_style { NONE, DOUBLE_QUOTES, SINGLE_QUOTES };
+
+    auto in_json_haystack = [&haystack](const std::string & needle) -> json_quote_style {
+        auto parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.choice({ p.literal("{"), p.literal(":") }) << p.choice({
+                p.tag("sq", p.literal("'") + p.literal(needle) + p.literal("'")),
+                p.tag("dq", p.literal("\"") + p.literal(needle) + p.literal("\"")) });
+        });
+        auto result = parser.parse_anywhere_and_extract(haystack);
+        if (!result.result.success()) {
+            return json_quote_style::NONE;
+        }
+        return result.tags.count("sq") && !result.tags["sq"].empty()
+            ? json_quote_style::SINGLE_QUOTES
+            : json_quote_style::DOUBLE_QUOTES;
+    };
+
+    auto fun_quote = in_json_haystack(fun_name_needle);
+    auto arg_quote = in_json_haystack(arg_name_needle);
+
+    if (fun_quote != json_quote_style::NONE) {
+        // no need to check further, we're in JSON land
+        format.mode = tool_format::JSON_NATIVE;
+        format.uses_python_dicts = (fun_quote == json_quote_style::SINGLE_QUOTES);
+    } else if (arg_quote != json_quote_style::NONE) {
+        format.mode = tool_format::TAG_WITH_JSON;
+        format.uses_python_dicts = (arg_quote == json_quote_style::SINGLE_QUOTES);
+    } else {
+        format.mode = tool_format::TAG_WITH_TAGGED;
+    }
+
+    // first, remove any reasoning markers
+    std::string clean_haystack = haystack;
+    if (!reasoning.start.empty()) {
+        auto pos = haystack.find(reasoning.start);
+        if (pos != std::string::npos) {
+            clean_haystack = haystack.substr(0, pos) + haystack.substr(pos + reasoning.start.length());
+        }
+    }
+    if (!reasoning.end.empty()) {
+        auto pos = clean_haystack.find(reasoning.end);
+        if (pos != std::string::npos) {
+            clean_haystack = clean_haystack.substr(0, pos) + clean_haystack.substr(pos + reasoning.end.length());
+        }
+    }
+
+    if (format.mode == tool_format::JSON_NATIVE) {
+        analyze_tool_call_format_json_native(clean_haystack, fun_name_needle, arg_name_needle);
+    } else {
+        analyze_tool_call_format_non_json(clean_haystack, fun_name_needle);
+    }
+    // always relax whitespace requirements on ending markers since they don't influence content
+    format.section_end  = trim_whitespace(format.section_end);
+    format.per_call_end = trim_whitespace(format.per_call_end);
+}
+
+void analyze_tools::analyze_tool_call_format_json_native(const std::string & clean_haystack,
+                                                         const std::string & fun_name_needle,
+                                                         const std::string & arg_name_needle) {
+    // we might not have the typical OpenAI tool calling structure
+    int  json_start     = clean_haystack.find_first_of('{');
+    int  json_end       = clean_haystack.find_last_of('}');
+    std::string cut     = clean_haystack.substr(json_start, json_end - json_start + 1);
+    json call_struct    = json::parse(cut);
+    auto register_field = [&](const std::string & prefix, const nlohmann::detail::iteration_proxy_value<json::iterator> & subel) {
+        if (subel.value().is_string() && std::string(subel.value()).find("call0000") != std::string::npos) {
+            format.id_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key();
+        } else if (subel.value().is_string() && std::string(subel.value()) == fun_name_needle) {
+            format.name_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key();
+        } else if (subel.value().dump().find(arg_name_needle) !=
+                   std::string::npos) {  // handle both string and JSON obj variants
+            format.args_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key();
+        } else if (subel.key().find("id") != std::string::npos) {
+            // heuristics for generated id field
+            format.gen_id_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key();
+        }
+    };
+    for (const auto & el : call_struct.items()) {
+        if (el.key() == fun_name_needle) {
+            format.fun_name_is_key = true;
+            // When function name is the key, there's no name field and args are direct
+            format.name_field.clear();
+            format.args_field.clear();
+            // Don't register this element - the function name IS the key, not a field
+        } else {
+            if (el.value().is_object() &&
+                el.value().dump().find(arg_name_needle) == std::string::npos) {  // not the args object
+                format.function_field = el.key();
+                for (const auto & subel : el.value().items()) {
+                    register_field(el.key(), subel);
+                }
+            }
+            // Register this element as a potential field
+            register_field("", el);
+        }
+    }
+    auto array_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+        return p.tag("pre", p.literal("[") + p.space()) + p.literal(cut) + p.tag("post", p.space() + p.literal("]"));
+    });
+
+    auto ar_parse_res = array_parser.parse_anywhere_and_extract(clean_haystack);
+    if (ar_parse_res.result.success()) {
+        format.tools_array_wrapped = true;
+        json_start -= ar_parse_res.tags["pre"].length();
+        json_end += ar_parse_res.tags["post"].length();
+    }
+    json_end++; // we want to move past the closing char for end marker extraction
+
+    std::vector<std::pair<size_t, std::string>> located_params;
+    if (!format.name_field.empty()) {
+        located_params.push_back({ clean_haystack.find(format.name_field), format.name_field });
+    }
+    if (!format.args_field.empty()) {
+        located_params.push_back({ clean_haystack.find(format.args_field), format.args_field });
+    }
+    if (!format.id_field.empty()) {
+        located_params.push_back({ clean_haystack.find(format.id_field), format.id_field });
+    }
+    if (!format.gen_id_field.empty()) {
+        located_params.push_back({ clean_haystack.find(format.gen_id_field), format.gen_id_field });
+    }
+    std::sort(located_params.begin(), located_params.end());
+    for (auto & pair : located_params) {
+        format.parameter_order.push_back(pair.second);
+    }
+    // we can immediately extract tool calling markers too
+    format.section_start = trim_leading_whitespace(clean_haystack.substr(0, json_start));
+    format.section_end   = trim_whitespace(clean_haystack.substr(json_end));
+    // When tools_array_wrapped is true, the closing bracket is part of the array structure,
+    // not a separate section end marker. Clear tool_section_end to avoid duplicate brackets.
+    if (format.tools_array_wrapped && format.section_end == "]") {
+        format.section_end.clear();
+    }
+}
+
+void analyze_tools::analyze_tool_call_format_non_json(const std::string & clean_haystack,
+                                                      const std::string & fun_name_needle) {
+    // first, let's find out if the function is inside a tag or standalone
+    auto fun_marker_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("fun_marker", p.choice({
+            p.tag("fun_pre", p.literal("<") + p.until_one_of({ ">", fun_name_needle })) + p.literal(fun_name_needle) +
+                p.tag("fun_post", p.negate(p.space() + p.literal("<")) + p.until(">") + p.literal(">")) + p.space(),
+            p.tag("fun_pre", p.literal("[") + p.until_one_of({ "]", fun_name_needle })) + p.literal(fun_name_needle) +
+                p.tag("fun_post", p.negate(p.space() + p.literal("[") + p.until("]") + p.literal("]")) + p.space()) }));
+    });
+    auto fun_res = fun_marker_parser.parse_anywhere_and_extract(clean_haystack);
+    std::string fun_marker = fun_name_needle;
+    if (fun_res.result.success()) {
+        fun_marker = fun_res.tags["fun_marker"];
+    }
+    // now, consume up to two markers, then treat everything up to the function marker as function name prefix
+    auto per_tool_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+        return p.tag("sec_start", p.marker() + p.space()) + p.tag("call_start", p.marker() + p.space()) +
+            p.tag("fun_pre", p.until(fun_marker)) + fun_marker + p.tag("rest", p.rest());
+    });
+    auto section_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+        return p.tag("sec_start", p.marker() + p.space()) + fun_marker + p.tag("rest", p.rest());
+    });
+    auto result = per_tool_parser.parse_anywhere_and_extract(clean_haystack);
+    tagged_parse_result result_end;
+    if (result.result.success()) {
+        auto double_closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("call_end", p.marker() + p.space()) + p.tag("sec_end", p.marker() + p.space()) + p.end();
+        });
+        result_end = double_closer_parser.parse_anywhere_and_extract(result.tags["rest"]);
+        function.name_prefix = fun_res.tags["fun_pre"] + function.name_prefix;
+    } else {
+        result = section_parser.parse_anywhere_and_extract(clean_haystack);
+        auto single_closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("sec_end", p.marker() + p.space()) + p.end();
+        });
+        result_end = single_closer_parser.parse_anywhere_and_extract(result.tags["rest"]);
+    }
+    format.per_call_start = result.tags["call_start"];
+    format.per_call_end = result_end.tags["call_end"];
+    format.section_start = result.tags["sec_start"];
+    format.section_end = result_end.tags["sec_end"];
+}
+
+void analyze_tools::check_per_call_markers() {
+    json assistant_one_tool = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    json assistant_two_tools = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call, second_tool_call }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_one_tool });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto one_vs_two = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_tools }); });
+
+    if (!one_vs_two) {
+        LOG_DBG(ANSI_ORANGE "%s: Generating double tool call comparison failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    diff_split filter_common_call_part = calculate_diff_split(one_vs_two->diff.suffix, one_vs_two->diff.right);
+
+    std::string second_tool_content = trim_leading_whitespace(filter_common_call_part.right);
+    if (!format.section_start.empty() &&
+        second_tool_content.find(format.section_start) == 0) {
+        format.per_call_start = format.section_start;
+        format.per_call_end   = format.section_end;
+        format.section_start.clear();
+        format.section_end.clear();
+    }
+}
+
+void analyze_tools::extract_function_markers() {
+    json assistant_nocall = json{
+        { "role",    "assistant"   },
+        { "content", ASSISTANT_MSG },
+    };
+
+    json assistant_foofoo = json{
+        { "role",       "assistant"                      },
+        { "content",    ""                               },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    json assistant_barbar = json{
+        { "role",       "assistant"                       },
+        { "content",    ""                                },
+        { "tool_calls", json::array({ second_tool_call }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_foofoo });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_barbar }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    if (diff.left.find(FUN_FIRST) != std::string::npos && diff.right.find(FUN_SECOND) != std::string::npos) {
+        std::string prefix_marker;
+        if (!format.per_call_start.empty()) {
+            prefix_marker = format.per_call_start;
+        } else {
+            prefix_marker = format.section_start;
+        }
+        if (!prefix_marker.empty() && diff.prefix.rfind(prefix_marker) != std::string::npos) {
+            function.name_prefix =
+                diff.prefix.substr(diff.prefix.rfind(prefix_marker) + prefix_marker.size());
+        }
+
+        // Extract name prefix/suffix from diff.left (stop at the next marker boundary)
+        auto name_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+            return p.tag("pre", p.until(FUN_FIRST)) + p.literal(FUN_FIRST) +
+                   p.tag("post", p.zero_or_more(p.negate(p.marker()) + p.any()));
+        });
+        auto name_result = name_parser.parse_and_extract(diff.left);
+        if (name_result.result.success()) {
+            function.name_prefix += name_result.tags["pre"];
+            function.name_suffix = name_result.tags["post"];
+        }
+
+        // Extend name_suffix with content from diff.suffix before args begin
+        if (format.mode == tool_format::TAG_WITH_JSON) {
+            // For JSON: name_suffix extends to the first non-marker { or [, including any
+            // markers along the way. Only applies if there's at least one marker after
+            // the JSON content (matching the original "stop < seg_suf.size() - 1" guard).
+            auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+                auto non_json = p.marker() | (p.negate(p.literal("{")) + p.negate(p.literal("[")) + p.any());
+                auto after_json = p.zero_or_more(p.negate(p.marker()) + p.any()) + p.marker();
+                return p.tag("ext", p.zero_or_more(non_json)) + after_json;
+            });
+            auto suf_result = suffix_parser.parse_and_extract(diff.suffix);
+            if (suf_result.result.success()) {
+                function.name_suffix += suf_result.tags["ext"];
+            }
+        } else {
+            // For tagged: name_suffix extends to the first marker (arg marker)
+            auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+                return p.tag("ext", p.zero_or_more(p.negate(p.marker()) + p.any()));
+            });
+            auto suf_result = suffix_parser.parse_and_extract(diff.suffix);
+            if (suf_result.result.success()) {
+                function.name_suffix += suf_result.tags["ext"];
+            }
+        }
+
+        // Extract the closer (between last arg and call/section end marker)
+        std::string suffix_marker;
+        if (!format.per_call_end.empty()) {
+            suffix_marker = format.per_call_end;
+        } else {
+            suffix_marker = format.section_end;
+        }
+        std::string closer_suffix;
+        if (suffix_marker.empty()) {
+            // we'll have to rely on an extra diff with no-calls version
+            auto notool_comp = compare_variants(
+                *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_nocall }); });
+            auto nt_diff  = notool_comp->diff;
+            closer_suffix = nt_diff.left.substr(nt_diff.left.find("YYYY") + 4);
+        } else {
+            closer_suffix = diff.suffix.substr(0, diff.suffix.find(suffix_marker));
+        }
+        if (!closer_suffix.empty()) {
+            if (format.mode == tool_format::TAG_WITH_TAGGED) {
+                // After last arg value, skip the closing arg marker, rest is closer
+                auto closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+                    return p.until("YYYY") + p.literal("YYYY") + p.space() +
+                           p.marker() + p.space() +
+                           p.tag("close", p.rest());
+                });
+                auto close_result = closer_parser.parse_and_extract(closer_suffix);
+                if (close_result.result.success()) {
+                    function.close = close_result.tags["close"];
+                }
+            } else if (format.mode == tool_format::TAG_WITH_JSON) {
+                // After last arg value, find end of JSON args, rest is closer
+                auto closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
+                    return p.until("YYYY") + p.literal("YYYY") + p.tag("post_val", p.rest());
+                });
+                auto close_result = closer_parser.parse_and_extract(closer_suffix);
+                if (close_result.result.success()) {
+                    const auto & post = close_result.tags["post_val"];
+                    size_t pos = post.find_last_of("}]");
+                    if (pos != std::string::npos && pos < post.size() - 1) {
+                        function.close = trim_leading_whitespace(post.substr(pos + 1));
+                    }
+                }
+            }
+        }
+        function.close = trim_leading_whitespace(function.close);
+    }
+}
+
+void analyze_tools::analyze_arguments() {
+    LOG_DBG(ANSI_ORANGE "Phase 4: Argument analysis\n" ANSI_RESET);
+
+    extract_argument_name_markers();
+    extract_argument_value_markers();
+}
+
+void analyze_tools::extract_argument_name_markers() {
+    json assistant_first_arg = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call_one_arg }) }
+    };
+
+    json assistant_second_arg = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call_other_arg }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_first_arg });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_second_arg }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    if (!diff.left.empty() && !diff.right.empty()) {
+        // Parse both sides to find ARG_FIRST/ARG_SECOND and extract the surrounding structure
+        auto left_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+            return p.tag("pre", p.until(ARG_FIRST)) + p.literal(ARG_FIRST) +
+                   p.tag("suffix", p.until_one_of({"\"", "X"}));
+        });
+        auto right_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+            return p.tag("pre", p.until(ARG_SECOND)) + p.literal(ARG_SECOND) +
+                   p.tag("suffix", p.until_one_of({"\"", "Y"}));
+        });
+        auto left_result  = left_parser.parse_anywhere_and_extract(diff.left);
+        auto right_result = right_parser.parse_anywhere_and_extract(diff.right);
+
+        if (left_result.result.success() && right_result.result.success() &&
+            !left_result.tags["pre"].empty() &&
+            left_result.tags["pre"] == right_result.tags["pre"] &&
+            left_result.tags["suffix"] == right_result.tags["suffix"]) {
+            // Name is inside a structure (e.g., JSON key): prefix is the shared wrapper
+            arguments.name_prefix = trim_whitespace(left_result.tags["pre"]);
+            arguments.name_suffix = trim_leading_whitespace(left_result.tags["suffix"]);
+        } else if (diff.left.substr(0, ARG_FIRST.length()) == ARG_FIRST && diff.right.substr(0, ARG_SECOND.length()) == ARG_SECOND) {
+            // Name is directly in the diff: prefix comes from last marker in diff.prefix
+            auto pre_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+                auto last_marker = p.marker() + p.zero_or_more(p.negate(p.marker()) + p.any()) + p.end();
+                return p.zero_or_more(p.negate(last_marker) + p.any()) + p.tag("name_prefix", last_marker);
+            });
+            auto pre_result = pre_parser.parse_and_extract(diff.prefix);
+            arguments.name_prefix = pre_result.result.success()
+                ? pre_result.tags["name_prefix"] : diff.prefix;
+
+            // Suffix extends from after ARG_FIRST to the first marker (+ optional whitespace).
+            // The marker could be in diff.left itself or in diff.suffix, so we concatenate.
+            std::string after_first = diff.left.substr(ARG_FIRST.length()) + diff.suffix;
+            auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+                return p.tag("suffix", p.zero_or_more(p.negate(p.marker()) + p.any()) +
+                                       p.marker() + p.space());
+            });
+            auto suf_result = suffix_parser.parse_anywhere_and_extract(after_first);
+            if (suf_result.result.success()) {
+                arguments.name_suffix = suf_result.tags["suffix"];
+            }
+        }
+    }
+}
+
+void analyze_tools::extract_argument_value_markers() {
+    json assistant_val_X = json{
+        { "role",       "assistant"                              },
+        { "content",    ""                                       },
+        { "tool_calls", json::array({ first_tool_call_one_arg }) }
+    };
+
+    json assistant_val_Y = json{
+        { "role",       "assistant"                                        },
+        { "content",    ""                                                 },
+        { "tool_calls", json::array({ first_tool_call_one_arg_other_val }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_val_X });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_val_Y }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    if (diff.left == "XXXX" && diff.right == "YYYY") {
+        std::string arg_name_ending = ARG_FIRST + arguments.name_suffix;
+        std::string prefix          = diff.prefix;
+        if (prefix.rfind(arg_name_ending) != std::string::npos) {
+            prefix = prefix.substr(prefix.rfind(arg_name_ending) + arg_name_ending.size());
+        }
+        if (!prefix.empty()) {
+            // Find the last marker + any trailing non-marker text to end
+            auto prefix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+                auto last_marker = p.marker() + p.zero_or_more(p.negate(p.marker()) + p.any()) + p.end();
+                return p.zero_or_more(p.negate(last_marker) + p.any()) + p.tag("val_prefix", last_marker);
+            });
+            auto pre_result = prefix_parser.parse_and_extract(prefix);
+            arguments.value_prefix = pre_result.result.success() ? pre_result.tags["val_prefix"] : prefix;
+        }
+
+        std::string value_suffix = diff.suffix;
+        if (!function.close.empty()) {
+            size_t func_close_pos = value_suffix.find(function.close);
+            if (func_close_pos != std::string::npos) {
+                value_suffix = value_suffix.substr(0, func_close_pos);
+            }
+        } else if (!format.per_call_end.empty() || !format.section_end.empty()) {
+            std::string end_marker =
+                !format.per_call_end.empty() ? format.per_call_end : format.section_end;
+            size_t end_marker_pos = value_suffix.find(end_marker);
+            if (end_marker_pos != std::string::npos) {
+                value_suffix = value_suffix.substr(0, end_marker_pos);
+            }
+        }
+        value_suffix = trim_leading_whitespace(value_suffix);
+        if (!value_suffix.empty()) {
+            arguments.value_suffix = value_suffix;
+        }
+    }
+}
+
+void analyze_tools::extract_argument_separator() {
+    json assistant_one_arg = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call_one_arg }) }
+    };
+
+    json assistant_two_args = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_one_arg });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_args }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    if (!diff.right.empty()) {
+        std::string separator        = until_common_prefix(diff.right, ARG_FIRST, ARG_SECOND);
+        arguments.separator = separator;
+    }
+}
+
+void analyze_tools::extract_args_markers() {
+    json assistant_no_args = json{
+        { "role",       "assistant"},
+        { "content",    ""         },
+        { "tool_calls", json::array({ first_tool_call_zero_args }) }
+    };
+
+    json assistant_with_args = json{
+        { "role",       "assistant"},
+        { "content",    ""         },
+        { "tool_calls", json::array({ first_tool_call_one_arg }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_no_args });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_with_args }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    if (format.mode != tool_format::JSON_NATIVE) {
+        std::string prefix_marker = !format.section_start.empty() ? format.section_start : format.per_call_start;
+        std::string suffix_marker = !format.section_end.empty() ? format.section_end : format.per_call_end;
+        // these might happen earlier in the tools section as an example or somewhere else, so we need to find the closest ones
+        size_t prefix_pos = prefix_marker.empty() ? 0 : diff.prefix.rfind(prefix_marker);
+        size_t suffix_pos = suffix_marker.empty() ? diff.suffix.size() : diff.suffix.find(suffix_marker);
+        if (prefix_pos == std::string::npos) {
+            prefix_pos = 0;
+        }
+        if (suffix_pos == std::string::npos) {
+            suffix_pos = diff.suffix.size();
+        }
+        std::string prefix_cut = diff.prefix.substr(prefix_pos + prefix_marker.size());
+        std::string suffix_cut = diff.suffix.substr(0, suffix_pos);
+        std::string args_start = until_common_prefix(prefix_cut, "{}", "{\"first\":");
+        std::string args_end   = after_common_suffix(suffix_cut, "{}", "\"XXXX\"}");
+
+        if (!args_start.empty() || !args_end.empty()) {
+            size_t find_fun = args_start.find(FUN_FIRST);
+            if (find_fun != std::string::npos) {
+                args_start = args_start.substr(find_fun + FUN_FIRST.size(), args_start.size() - find_fun - FUN_FIRST.size());
+            }
+            arguments.start = args_start;
+            arguments.end   = args_end;
+        }
+    }
+}
+
+void analyze_tools::extract_call_id_markers() {
+    json assistant_id1 = json{
+        { "role",       "assistant" },
+        { "content",    ""                               },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    json assistant_id2 = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call_alt_id }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_id1 });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_id2 }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed for call_id detection\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    const auto & diff = comparison->diff;
+
+    if (diff.left.empty() && diff.right.empty()) {
+        return;
+    }
+
+    std::string id_value_1 = "call00001";
+    std::string id_value_2 = "call99999";
+
+    size_t common_id_prefix_len = 0;
+    for (size_t i = 0; i < std::min(id_value_1.length(), id_value_2.length()); i++) {
+        if (id_value_1[i] == id_value_2[i]) {
+            common_id_prefix_len++;
+        } else {
+            break;
+        }
+    }
+    std::string common_id_part = id_value_1.substr(0, common_id_prefix_len);
+
+    // Check if the function name is in the prefix (normal case: BETWEEN_FUNC_AND_ARGS or POST_ARGS)
+    // or in the suffix (call_id is PRE_FUNC_NAME)
+    std::string func_name           = FUN_FIRST;
+    size_t      func_name_in_prefix = diff.prefix.rfind(func_name);
+    size_t      func_name_in_suffix = diff.suffix.find(func_name);
+
+    // Helper: find the last marker in a string (returns just the marker, not trailing text)
+    auto find_last_marker = [](const std::string & str) -> std::string {
+        auto parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+            auto last = p.marker() + p.zero_or_more(p.negate(p.marker()) + p.any()) + p.end();
+            return p.zero_or_more(p.negate(last) + p.any()) + p.tag("m", p.marker());
+        });
+        auto res = parser.parse_anywhere_and_extract(str);
+        return res.result.success() ? res.tags["m"] : "";
+    };
+
+    // Helper: find the first marker in a string
+    auto find_first_marker = [](const std::string & str) -> std::string {
+        auto parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+            return p.tag("m", p.marker());
+        });
+        auto res = parser.parse_anywhere_and_extract(str);
+        return res.result.success() ? res.tags["m"] : "";
+    };
+
+    if (func_name_in_prefix != std::string::npos && func_name_in_suffix == std::string::npos) {
+        // Function name is only in prefix - call_id is BETWEEN_FUNC_AND_ARGS or POST_ARGS
+        // Check if args indicator "{" is in prefix or suffix
+        size_t args_in_prefix = diff.prefix.find('{', func_name_in_prefix);
+        size_t args_in_suffix = diff.suffix.find('{');
+
+        if (args_in_suffix != std::string::npos &&
+            (args_in_prefix == std::string::npos || args_in_prefix > diff.prefix.length())) {
+            // Args are in suffix, so call_id is BETWEEN_FUNC_AND_ARGS
+            call_id.pos = call_id_position::BETWEEN_FUNC_AND_ARGS;
+
+            // Find call_id_prefix: marker immediately preceding common_id_part (no intervening markers)
+            std::string after_func = diff.prefix.substr(func_name_in_prefix + func_name.length());
+            auto id_prefix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+                return p.tag("prefix", p.marker()) +
+                       p.zero_or_more(p.negate(p.marker()) + p.negate(p.literal(common_id_part)) + p.any()) +
+                       p.literal(common_id_part);
+            });
+            auto id_res = id_prefix_parser.parse_anywhere_and_extract(after_func);
+            if (id_res.result.success()) {
+                call_id.prefix = id_res.tags["prefix"];
+            } else {
+                // Fallback: use the last marker in after_func
+                call_id.prefix = find_last_marker(after_func);
+            }
+
+            // Extract call_id_suffix: the first marker in the suffix before args "{"
+            auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
+                return p.zero_or_more(p.negate(p.marker()) + p.negate(p.literal("{")) + p.any()) +
+                       p.tag("suffix", p.marker());
+            });
+            auto suf_res = suffix_parser.parse_anywhere_and_extract(diff.suffix);
+            if (suf_res.result.success()) {
+                call_id.suffix = suf_res.tags["suffix"];
+            }
+        } else if (args_in_prefix != std::string::npos) {
+            // Args are in prefix, so call_id is POST_ARGS
+            call_id.pos = call_id_position::POST_ARGS;
+
+            // Extract last marker between args closing brace and the ID
+            std::string after_args    = diff.prefix.substr(args_in_prefix);
+            size_t      closing_brace = after_args.rfind('}');
+            if (closing_brace != std::string::npos) {
+                std::string between_args_and_id = after_args.substr(closing_brace + 1);
+                call_id.prefix = find_last_marker(between_args_and_id);
+            }
+
+            // call_id_suffix: first marker in diff.suffix
+            call_id.suffix = find_first_marker(diff.suffix);
+        }
+    } else if (func_name_in_suffix != std::string::npos && func_name_in_prefix == std::string::npos) {
+        // Function name is only in suffix - call_id is PRE_FUNC_NAME
+        call_id.pos = call_id_position::PRE_FUNC_NAME;
+
+        // call_id_prefix: last marker in diff.prefix
+        call_id.prefix = find_last_marker(diff.prefix);
+
+        // call_id_suffix: first marker in the portion of diff.suffix before func_name
+        std::string before_func = diff.suffix.substr(0, func_name_in_suffix);
+        call_id.suffix = find_first_marker(before_func);
+    }
+
+    // When call_id is detected, per_call_end may have been incorrectly set to include
+    // the call_id_suffix and sample args. Clear it if it starts with call_id_suffix.
+    if (call_id.pos != call_id_position::NONE && !call_id.suffix.empty() &&
+        format.per_call_end.find(call_id.suffix) == 0) {
+        format.per_call_end.clear();
+    }
+}
+
+}  // namespace autoparser
diff --git a/common/chat-parser-xml-toolcall.cpp b/common/chat-parser-xml-toolcall.cpp
deleted file mode 100644
index a80900ff8d8..00000000000
--- a/common/chat-parser-xml-toolcall.cpp
+++ /dev/null
@@ -1,879 +0,0 @@
-#include "chat.h"
-#include "chat-parser.h"
-#include "common.h"
-#include "json-partial.h"
-#include "json-schema-to-grammar.h"
-#include "log.h"
-#include "regex-partial.h"
-
-using json = nlohmann::ordered_json;
-
-class xml_toolcall_syntax_exception : public std::runtime_error {
-  public:
-    xml_toolcall_syntax_exception(const std::string & message) : std::runtime_error(message) {}
-};
-
-template<typename T>
-inline void sort_uniq(std::vector<T> &vec) {
-    std::sort(vec.begin(), vec.end());
-    vec.erase(std::unique(vec.begin(), vec.end()), vec.end());
-}
-
-template<typename T>
-inline bool all_space(const T &str) {
-    return std::all_of(str.begin(), str.end(), [](unsigned char ch) { return std::isspace(ch); });
-}
-
-static size_t utf8_truncate_safe(const std::string_view s) {
-    size_t len = s.size();
-    if (len == 0) return 0;
-    size_t i = len;
-    for (size_t back = 0; back < 4 && i > 0; ++back) {
-        --i;
-        unsigned char c = s[i];
-        if ((c & 0x80) == 0) {
-            return len;
-        } else if ((c & 0xC0) == 0xC0) {
-            size_t expected_len = 0;
-            if ((c & 0xE0) == 0xC0) expected_len = 2;
-            else if ((c & 0xF0) == 0xE0) expected_len = 3;
-            else if ((c & 0xF8) == 0xF0) expected_len = 4;
-            else return i;
-            if (len - i >= expected_len) {
-                return len;
-            } else {
-                return i;
-            }
-        }
-    }
-    return len - std::min(len, size_t(3));
-}
-
-inline void utf8_truncate_safe_resize(std::string &s) {
-    s.resize(utf8_truncate_safe(s));
-}
-
-inline std::string_view utf8_truncate_safe_view(const std::string_view s) {
-    return s.substr(0, utf8_truncate_safe(s));
-}
-
-static std::optional<common_chat_msg_parser::find_regex_result> try_find_2_literal_splited_by_spaces(common_chat_msg_parser & builder, const std::string & literal1, const std::string & literal2) {
-    if (literal1.size() == 0) return builder.try_find_literal(literal2);
-    const auto saved_pos = builder.pos();
-    while (auto res = builder.try_find_literal(literal1)) {
-        builder.consume_spaces();
-        const auto match_len = std::min(literal2.size(), builder.input().size() - builder.pos());
-        if (builder.input().compare(builder.pos(), match_len, literal2, 0, match_len) == 0) {
-            if (res->prelude.size() != res->groups[0].begin - saved_pos) {
-                res->prelude = builder.str({saved_pos, res->groups[0].begin});
-            }
-            builder.move_to(builder.pos() + match_len);
-            res->groups[0].end = builder.pos();
-            GGML_ASSERT(res->groups[0].begin != res->groups[0].end);
-            return res;
-        }
-        builder.move_to(res->groups[0].begin + 1);
-    }
-    builder.move_to(saved_pos);
-    return std::nullopt;
-}
-
-/**
- * make a GBNF that accept any strings except those containing any of the forbidden strings.
- */
-std::string make_gbnf_excluding(std::vector<std::string> forbids) {
-    constexpr auto charclass_escape = [](unsigned char c) -> std::string {
-        if (c == '\\' || c == ']' || c == '^' || c == '-') {
-            std::string s = "\\";
-            s.push_back((char)c);
-            return s;
-        }
-        if (isprint(c)) {
-            return std::string(1, (char)c);
-        }
-        char buf[16];
-        snprintf(buf, 15, "\\x%02X", c);
-        return std::string(buf);
-    };
-    constexpr auto build_expr = [charclass_escape](auto self, const std::vector<std::string>& forbids, int l, int r, int depth) -> std::string {
-        std::vector<std::pair<unsigned char, std::pair<int,int>>> children;
-        int i = l;
-        while (i < r) {
-            const std::string &s = forbids[i];
-            if ((int)s.size() == depth) {
-                ++i;
-                continue;
-            }
-            unsigned char c = (unsigned char)s[depth];
-            int j = i;
-            while (j < r && (int)forbids[j].size() > depth &&
-                   (unsigned char)forbids[j][depth] == c) {
-                ++j;
-            }
-            children.push_back({c, {i, j}});
-            i = j;
-        }
-        std::vector<std::string> alts;
-        if (!children.empty()) {
-            std::string cls;
-            for (auto &ch : children) cls += charclass_escape(ch.first);
-            alts.push_back(std::string("[^") + cls + "]");
-        }
-        for (auto &ch : children) {
-            std::string childExpr = self(self, forbids, ch.second.first, ch.second.second, depth+1);
-            if (!childExpr.empty()) {
-                std::string quoted_ch = "\"";
-                if (ch.first == '\\') quoted_ch += "\\\\";
-                else if (ch.first == '"') quoted_ch += "\\\"";
-                else if (isprint(ch.first)) quoted_ch.push_back(ch.first);
-                else {
-                    char buf[16];
-                    snprintf(buf, 15, "\\x%02X", ch.first);
-                    quoted_ch += buf;
-                }
-                quoted_ch += "\"";
-                std::string branch = quoted_ch + std::string(" ") + childExpr;
-                alts.push_back(branch);
-            }
-        }
-        if (alts.empty()) return "";
-        std::ostringstream oss;
-        oss << "( ";
-        for (size_t k = 0; k < alts.size(); ++k) {
-            if (k) oss << " | ";
-            oss << alts[k];
-        }
-        oss << " )";
-        return oss.str();
-    };
-    if (forbids.empty()) return "( . )*";
-    sort(forbids.begin(), forbids.end());
-    std::string expr = build_expr(build_expr, forbids, 0, forbids.size(), 0);
-    if (expr.empty()) {
-        std::string cls;
-        for (auto &s : forbids) if (!s.empty()) cls += charclass_escape((unsigned char)s[0]);
-        expr = std::string("( [^") + cls + "] )";
-    }
-    if (forbids.size() == 1)
-        return expr + "*";
-    else
-        return std::string("( ") + expr + " )*";
-}
-
-/**
- * Build grammar for xml-style tool call
- * form.scope_start and form.scope_end can be empty.
- * Requires data.format for model-specific hacks.
- */
-void build_grammar_xml_tool_call(common_chat_params & data, const json & tools, const struct xml_tool_call_format & form) {
-    GGML_ASSERT(!form.tool_start.empty());
-    GGML_ASSERT(!form.tool_sep.empty());
-    GGML_ASSERT(!form.key_start.empty());
-    GGML_ASSERT(!form.val_end.empty());
-    GGML_ASSERT(!form.tool_end.empty());
-
-    std::string key_val_sep = form.key_val_sep;
-    if (form.key_val_sep2) {
-        key_val_sep += "\n";
-        key_val_sep += *form.key_val_sep2;
-    }
-    GGML_ASSERT(!key_val_sep.empty());
-
-    if (tools.is_array() && !tools.empty()) {
-        data.grammar = build_grammar([&](const common_grammar_builder &builder) {
-            auto string_arg_val = form.last_val_end ?
-                    builder.add_rule("string-arg-val", make_gbnf_excluding({form.val_end, *form.last_val_end})) :
-                    builder.add_rule("string-arg-val", make_gbnf_excluding({form.val_end}));
-
-            std::vector<std::string> tool_rules;
-            for (const auto & tool : tools) {
-                if (!tool.contains("type") || tool.at("type") != "function" || !tool.contains("function")) {
-                    LOG_WRN("Skipping tool without function: %s", tool.dump(2).c_str());
-                    continue;
-                }
-                const auto & function = tool.at("function");
-                if (!function.contains("name") || !function.at("name").is_string()) {
-                    LOG_WRN("Skipping invalid function (invalid name): %s", function.dump(2).c_str());
-                    continue;
-                }
-                if (!function.contains("parameters") || !function.at("parameters").is_object()) {
-                    LOG_WRN("Skipping invalid function (invalid parameters): %s", function.dump(2).c_str());
-                    continue;
-                }
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-
-                struct parameter_rule {
-                    std::string symbol_name;
-                    bool is_required;
-                };
-                std::vector<parameter_rule> arg_rules;
-                if (!parameters.contains("properties") || !parameters.at("properties").is_object()) {
-                    LOG_WRN("Skipping invalid function (invalid properties): %s", function.dump(2).c_str());
-                    continue;
-                } else {
-                    std::vector<std::string> requiredParameters;
-                    if (parameters.contains("required")) {
-                        try { parameters.at("required").get_to(requiredParameters); }
-                        catch (const std::runtime_error&) {
-                            LOG_WRN("Invalid function required parameters, ignoring: %s", function.at("required").dump(2).c_str());
-                        }
-                    }
-                    sort_uniq(requiredParameters);
-                    for (const auto & [key, value] : parameters.at("properties").items()) {
-                        std::string quoted_key = key;
-                        bool required = std::binary_search(requiredParameters.begin(), requiredParameters.end(), key);
-                        if (form.key_start.back() == '"' && key_val_sep[0] == '"') {
-                            quoted_key = gbnf_format_literal(key);
-                            quoted_key = quoted_key.substr(1, quoted_key.size() - 2);
-                        }
-                        arg_rules.push_back(parameter_rule {builder.add_rule("func-" + name + "-kv-" + key,
-                            gbnf_format_literal(form.key_start) + " " +
-                            gbnf_format_literal(quoted_key) + " " +
-                            gbnf_format_literal(key_val_sep) + " " +
-                            ((value.contains("type") && value["type"].is_string() && value["type"] == "string" && (!form.raw_argval || *form.raw_argval)) ?
-                                    (form.raw_argval ?
-                                            string_arg_val :
-                                            "( " + string_arg_val + " | " + builder.add_schema(name + "-arg-" + key, value) + " )"
-                                    ) :
-                                    builder.add_schema(name + "-arg-" + key, value)
-                            )
-                        ), required});
-                    }
-                }
-
-                auto next_arg_with_sep = builder.add_rule(name + "-last-arg-end", form.last_val_end ? gbnf_format_literal(*form.last_val_end) : gbnf_format_literal(form.val_end));
-                decltype(next_arg_with_sep) next_arg = "\"\"";
-                for (auto i = arg_rules.size() - 1; /* i >= 0 && */ i < arg_rules.size(); --i) {
-                    std::string include_this_arg = arg_rules[i].symbol_name + " " + next_arg_with_sep;
-                    next_arg = builder.add_rule(name + "-arg-after-" + std::to_string(i), arg_rules[i].is_required ?
-                            include_this_arg : "( " + include_this_arg + " ) | " + next_arg
-                    );
-                    include_this_arg = gbnf_format_literal(form.val_end) + " " + include_this_arg;
-                    next_arg_with_sep = builder.add_rule(name + "-arg-after-" + std::to_string(i) + "-with-sep", arg_rules[i].is_required ?
-                            include_this_arg : "( " + include_this_arg + " ) | " + next_arg_with_sep
-                    );
-                }
-
-                std::string quoted_name = name;
-                if (form.tool_start.back() == '"' && form.tool_sep[0] == '"') {
-                    quoted_name = gbnf_format_literal(name);
-                    quoted_name = quoted_name.substr(1, quoted_name.size() - 2);
-                }
-                quoted_name = gbnf_format_literal(quoted_name);
-                // Kimi-K2 uses functions.{{ tool_call['function']['name'] }}:{{ loop.index }} as function name
-                if (data.format == COMMON_CHAT_FORMAT_KIMI_K2) {
-                    quoted_name = "\"functions.\" " + quoted_name + " \":\" [0-9]+";
-                }
-                tool_rules.push_back(builder.add_rule(name + "-call",
-                        gbnf_format_literal(form.tool_start) + " " +
-                        quoted_name + " " +
-                        gbnf_format_literal(form.tool_sep) + " " +
-                        next_arg
-                ));
-            }
-
-            auto tool_call_once = builder.add_rule("root-tool-call-once", string_join(tool_rules, " | "));
-            auto tool_call_more = builder.add_rule("root-tool-call-more", gbnf_format_literal(form.tool_end) + " " + tool_call_once);
-            auto call_end = builder.add_rule("root-call-end", form.last_tool_end ? gbnf_format_literal(*form.last_tool_end) : gbnf_format_literal(form.tool_end));
-            auto tool_call_multiple_with_end = builder.add_rule("root-tool-call-multiple-with-end", tool_call_once + " " + tool_call_more + "* " + call_end);
-            builder.add_rule("root",
-                (form.scope_start.empty() ? "" : gbnf_format_literal(form.scope_start) + " ") +
-                tool_call_multiple_with_end  + "?" +
-                (form.scope_end.empty() ? "" : " " + gbnf_format_literal(form.scope_end))
-            );
-        });
-
-        // grammar trigger for tool call
-        data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, form.scope_start + form.tool_start });
-    }
-}
-
-/**
- * Parse XML-Style tool call for given xml_tool_call_format. Return false for invalid syntax and get the position untouched.
- * Throws xml_toolcall_syntax_exception if there is invalid syntax and cannot recover the original status for common_chat_msg_parser.
- * form.scope_start, form.tool_sep and form.scope_end can be empty.
- */
-inline bool parse_xml_tool_calls(common_chat_msg_parser & builder, const struct xml_tool_call_format & form) {
-    GGML_ASSERT(!form.tool_start.empty());
-    GGML_ASSERT(!form.key_start.empty());
-    GGML_ASSERT(!form.key_val_sep.empty());
-    GGML_ASSERT(!form.val_end.empty());
-    GGML_ASSERT(!form.tool_end.empty());
-
-    // Helper to choose return false or throw error
-    constexpr auto return_error = [](common_chat_msg_parser & builder, auto &start_pos, const bool &recovery) {
-        LOG_DBG("Failed to parse XML-Style tool call at position: %s\n", gbnf_format_literal(builder.consume_rest().substr(0, 20)).c_str());
-        if (recovery) {
-            builder.move_to(start_pos);
-            return false;
-        } else throw xml_toolcall_syntax_exception("Tool call parsing failed with unrecoverable errors. Try using a grammar to constrain the model’s output.");
-    };
-    // Drop substring from needle to end from a JSON
-    constexpr auto partial_json = [](std::string &json_str, std::string_view needle = "XML_TOOL_CALL_PARTIAL_FLAG") {
-        auto pos = json_str.rfind(needle);
-        if (pos == std::string::npos) {
-            return false;
-        }
-        for (auto i = pos + needle.size(); i < json_str.size(); ++i) {
-            unsigned char ch = static_cast<unsigned char>(json_str[i]);
-            if (ch != '\'' && ch != '"' && ch != '}' && ch != ':' && !std::isspace(ch)) {
-                return false;
-            }
-        }
-        if (pos != 0 && json_str[pos - 1] == '"') {
-            --pos;
-        }
-        json_str.resize(pos);
-        return true;
-    };
-    // Helper to generate a partial argument JSON
-    constexpr auto gen_partial_json = [partial_json](auto set_partial_arg, auto &arguments, auto &builder, auto &function_name) {
-        auto rest = builder.consume_rest();
-        utf8_truncate_safe_resize(rest);
-        set_partial_arg(rest, "XML_TOOL_CALL_PARTIAL_FLAG");
-        auto tool_str = arguments.dump();
-        if (partial_json(tool_str)) {
-            if (builder.add_tool_call(function_name, "", tool_str)) {
-                return;
-            }
-        }
-        LOG_DBG("Failed to parse partial XML-Style tool call, fallback to non-partial: %s\n", tool_str.c_str());
-    };
-    // Helper to find a close (because there may be form.last_val_end or form.last_tool_end)
-    constexpr auto try_find_close = [](
-            common_chat_msg_parser & builder,
-            const std::string & end,
-            const std::optional<std::string> & alt_end,
-            const std::string & end_next,
-            const std::optional<std::string> & alt_end_next
-    ) {
-        auto saved_pos = builder.pos();
-        auto tc = builder.try_find_literal(end);
-        auto val_end_size = end.size();
-        if (alt_end) {
-            auto pos_1 = builder.pos();
-            builder.move_to(saved_pos);
-            auto tc2 = try_find_2_literal_splited_by_spaces(builder, *alt_end, end_next);
-            if (alt_end_next) {
-                builder.move_to(saved_pos);
-                auto tc3 = try_find_2_literal_splited_by_spaces(builder, *alt_end, *alt_end_next);
-                if (tc3 && (!tc2 || tc2->prelude.size() > tc3->prelude.size())) {
-                    tc2 = tc3;
-                }
-            }
-            if (tc2 && (!tc || tc->prelude.size() > tc2->prelude.size())) {
-                tc = tc2;
-                tc->groups[0].end = std::min(builder.input().size(), tc->groups[0].begin + alt_end->size());
-                builder.move_to(tc->groups[0].end);
-                val_end_size = alt_end->size();
-            } else {
-                builder.move_to(pos_1);
-            }
-        }
-        return std::make_pair(val_end_size, tc);
-    };
-    // Helper to find a val_end or last_val_end, returns matched pattern size
-    const auto try_find_val_end = [try_find_close, &builder, &form]() {
-        return try_find_close(builder, form.val_end, form.last_val_end, form.tool_end, form.last_tool_end);
-    };
-    // Helper to find a tool_end or last_tool_end, returns matched pattern size
-    const auto try_find_tool_end = [try_find_close, &builder, &form]() {
-        return try_find_close(builder, form.tool_end, form.last_tool_end, form.scope_end, std::nullopt);
-    };
-
-    bool recovery = true;
-    const auto start_pos = builder.pos();
-    if (!all_space(form.scope_start)) {
-        if (auto tc = builder.try_find_literal(form.scope_start)) {
-            if (all_space(tc->prelude)) {
-                if (form.scope_start.size() != tc->groups[0].end - tc->groups[0].begin)
-                    throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.scope_start));
-            } else {
-                builder.move_to(start_pos);
-                return false;
-            }
-        } else return false;
-    }
-    while (auto tc = builder.try_find_literal(form.tool_start)) {
-        if (!all_space(tc->prelude)) {
-            LOG_DBG("XML-Style tool call: Expected %s, but found %s, trying to match next pattern\n",
-                    gbnf_format_literal(form.tool_start).c_str(),
-                    gbnf_format_literal(tc->prelude).c_str()
-            );
-            builder.move_to(tc->groups[0].begin - tc->prelude.size());
-            break;
-        }
-
-        // Find tool name
-        auto func_name = builder.try_find_literal(all_space(form.tool_sep) ? form.key_start : form.tool_sep);
-        if (!func_name) {
-            auto [sz, tc] = try_find_tool_end();
-            func_name = tc;
-        }
-        if (!func_name) {
-            // Partial tool name not supported
-            throw common_chat_msg_partial_exception("incomplete tool_call");
-        }
-        // If the model generate multiple tool call and the first tool call has no argument
-        if (func_name->prelude.find(form.tool_end) != std::string::npos || (form.last_tool_end ? func_name->prelude.find(*form.last_tool_end) != std::string::npos : false)) {
-            builder.move_to(func_name->groups[0].begin - func_name->prelude.size());
-            auto [sz, tc] = try_find_tool_end();
-            func_name = tc;
-        }
-
-        // Parse tool name
-        builder.move_to(all_space(form.tool_sep) ? func_name->groups[0].begin : func_name->groups[0].end);
-        std::string function_name = string_strip(func_name->prelude);
-        // Kimi-K2 uses functions.{{ tool_call['function']['name'] }}:{{ loop.index }} as function name
-        if (builder.syntax().format == COMMON_CHAT_FORMAT_KIMI_K2) {
-            if (string_starts_with(function_name, "functions.")) {
-                static const std::regex re(":\\d+$");
-                if (std::regex_search(function_name, re)) {
-                    function_name = function_name.substr(10, function_name.rfind(":") - 10);
-                }
-            }
-        }
-
-        // Argument JSON
-        json arguments = json::object();
-
-        // Helper to generate a partial argument JSON
-        const auto gen_partial_args = [&](auto set_partial_arg) {
-            gen_partial_json(set_partial_arg, arguments, builder, function_name);
-        };
-
-        // Parse all arg_key/arg_value pairs
-        while (auto tc = builder.try_find_literal(form.key_start)) {
-            if (!all_space(tc->prelude)) {
-                LOG_DBG("XML-Style tool call: Expected %s, but found %s, trying to match next pattern\n",
-                        gbnf_format_literal(form.key_start).c_str(),
-                        gbnf_format_literal(tc->prelude).c_str()
-                );
-                builder.move_to(tc->groups[0].begin - tc->prelude.size());
-                break;
-            }
-            if (tc->groups[0].end - tc->groups[0].begin != form.key_start.size()) {
-                auto tool_call_arg = arguments.dump();
-                if (tool_call_arg.size() != 0 && tool_call_arg[tool_call_arg.size() - 1] == '}') {
-                    tool_call_arg.resize(tool_call_arg.size() - 1);
-                }
-                builder.add_tool_call(function_name, "", tool_call_arg);
-                throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.key_start));
-            }
-
-            // Parse arg_key
-            auto key_res = builder.try_find_literal(form.key_val_sep);
-            if (!key_res) {
-                gen_partial_args([&](auto &rest, auto &needle) {arguments[rest + needle] = "";});
-                throw common_chat_msg_partial_exception("Expected " + gbnf_format_literal(form.key_val_sep) + " after " + gbnf_format_literal(form.key_start));
-            }
-            if (key_res->groups[0].end - key_res->groups[0].begin != form.key_val_sep.size()) {
-                gen_partial_args([&](auto &, auto &needle) {arguments[key_res->prelude + needle] = "";});
-                throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.key_val_sep));
-            }
-            auto &key = key_res->prelude;
-            recovery = false;
-
-            // Parse arg_value
-            if (form.key_val_sep2) {
-                if (auto tc = builder.try_find_literal(*form.key_val_sep2)) {
-                    if (!all_space(tc->prelude)) {
-                        LOG_DBG("Failed to parse XML-Style tool call: Unexcepted %s between %s and %s\n",
-                                gbnf_format_literal(tc->prelude).c_str(),
-                                gbnf_format_literal(form.key_val_sep).c_str(),
-                                gbnf_format_literal(*form.key_val_sep2).c_str()
-                        );
-                        return return_error(builder, start_pos, false);
-                    }
-                    if (tc->groups[0].end - tc->groups[0].begin != form.key_val_sep2->size()) {
-                        gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;});
-                        throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(*form.key_val_sep2));
-                    }
-                } else {
-                    gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;});
-                    throw common_chat_msg_partial_exception("Expected " + gbnf_format_literal(*form.key_val_sep2) + " after " + gbnf_format_literal(form.key_val_sep));
-                }
-            }
-            auto val_start = builder.pos();
-
-            // Test if arg_val is a partial JSON
-            std::optional<common_json> value_json = std::nullopt;
-            if (!form.raw_argval || !*form.raw_argval) {
-                try { value_json = builder.try_consume_json(); }
-                catch (const std::runtime_error&) { builder.move_to(val_start); }
-                // TODO: Delete this when json_partial adds top-level support for null/true/false
-                if (builder.pos() == val_start) {
-                    const static std::regex number_regex(R"([0-9-][0-9]*(\.\d*)?([eE][+-]?\d*)?)");
-                    builder.consume_spaces();
-                    std::string_view sv = utf8_truncate_safe_view(builder.input());
-                    sv.remove_prefix(builder.pos());
-                    std::string rest = "a";
-                    if (sv.size() < 6) rest = sv;
-                    if (string_starts_with("null", rest) || string_starts_with("true", rest) || string_starts_with("false", rest) || std::regex_match(sv.begin(), sv.end(), number_regex)) {
-                        value_json = {123, {"123", "123"}};
-                        builder.consume_rest();
-                    } else {
-                        builder.move_to(val_start);
-                    }
-                }
-            }
-
-            // If it is a JSON and followed by </arg_value>, parse as json
-            // cannot support streaming because it may be a plain text starting with JSON
-            if (value_json) {
-                auto json_end = builder.pos();
-                builder.consume_spaces();
-                if (builder.pos() == builder.input().size()) {
-                    if (form.raw_argval && !*form.raw_argval && (value_json->json.is_string() || value_json->json.is_object() || value_json->json.is_array())) {
-                        arguments[key] = value_json->json;
-                        auto json_str = arguments.dump();
-                        if (!value_json->healing_marker.json_dump_marker.empty()) {
-                            GGML_ASSERT(std::string::npos != json_str.rfind(value_json->healing_marker.json_dump_marker));
-                            json_str.resize(json_str.rfind(value_json->healing_marker.json_dump_marker));
-                        } else {
-                            GGML_ASSERT(json_str.back() == '}');
-                            json_str.resize(json_str.size() - 1);
-                        }
-                        builder.add_tool_call(function_name, "", json_str);
-                    } else {
-                        gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;});
-                    }
-                    LOG_DBG("Possible JSON arg_value: %s\n", value_json->json.dump().c_str());
-                    throw common_chat_msg_partial_exception("JSON arg_value detected. Waiting for more tokens for validations.");
-                }
-                builder.move_to(json_end);
-                auto [val_end_size, tc] = try_find_val_end();
-                if (tc && all_space(tc->prelude) && value_json->healing_marker.marker.empty()) {
-                    if (tc->groups[0].end - tc->groups[0].begin != val_end_size) {
-                        gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;});
-                        LOG_DBG("Possible terminated JSON arg_value: %s\n", value_json->json.dump().c_str());
-                        throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.val_end) + (form.last_val_end ? gbnf_format_literal(*form.last_val_end) : ""));
-                    } else arguments[key] = value_json->json;
-                } else builder.move_to(val_start);
-            }
-
-            // If not, parse as plain text
-            if (val_start == builder.pos()) {
-                if (auto [val_end_size, value_plain] = try_find_val_end(); value_plain) {
-                    auto &value_str = value_plain->prelude;
-                    if (form.trim_raw_argval) value_str = string_strip(value_str);
-                    if (value_plain->groups[0].end - value_plain->groups[0].begin != val_end_size) {
-                        gen_partial_args([&](auto &, auto &needle) {arguments[key] = value_str + needle;});
-                        throw common_chat_msg_partial_exception(
-                                "Expected " + gbnf_format_literal(form.val_end) +
-                                " after " + gbnf_format_literal(form.key_val_sep) +
-                                (form.key_val_sep2 ? " " + gbnf_format_literal(*form.key_val_sep2) : "")
-                        );
-                    }
-                    arguments[key] = value_str;
-                } else {
-                    if (form.trim_raw_argval) {
-                        gen_partial_args([&](auto &rest, auto &needle) {arguments[key] = string_strip(rest) + needle;});
-                    } else {
-                        gen_partial_args([&](auto &rest, auto &needle) {arguments[key] = rest + needle;});
-                    }
-                    throw common_chat_msg_partial_exception(
-                            "Expected " + gbnf_format_literal(form.val_end) +
-                            " after " + gbnf_format_literal(form.key_val_sep) +
-                            (form.key_val_sep2 ? " " + gbnf_format_literal(*form.key_val_sep2) : "")
-                    );
-                }
-            }
-        }
-
-        // Consume closing tag
-        if (auto [tool_end_size, tc] = try_find_tool_end(); tc) {
-            if (!all_space(tc->prelude)) {
-                LOG_DBG("Failed to parse XML-Style tool call: Expected %s, but found %s\n",
-                        gbnf_format_literal(form.tool_end).c_str(),
-                        gbnf_format_literal(tc->prelude).c_str()
-                );
-                return return_error(builder, start_pos, recovery);
-            }
-            if (tc->groups[0].end - tc->groups[0].begin == tool_end_size) {
-                // Add the parsed tool call
-                if (!builder.add_tool_call(function_name, "", arguments.dump())) {
-                    throw common_chat_msg_partial_exception("Failed to add XML-Style tool call");
-                }
-                recovery = false;
-                continue;
-            }
-        }
-
-        auto tool_call_arg = arguments.dump();
-        if (tool_call_arg.size() != 0 && tool_call_arg[tool_call_arg.size() - 1] == '}') {
-            tool_call_arg.resize(tool_call_arg.size() - 1);
-        }
-        builder.add_tool_call(function_name, "", tool_call_arg);
-        throw common_chat_msg_partial_exception("Expected " + gbnf_format_literal(form.tool_end) + " after " + gbnf_format_literal(form.val_end));
-    }
-    if (auto tc = builder.try_find_literal(form.scope_end)) {
-        if (!all_space(tc->prelude)) {
-            LOG_DBG("Failed to parse XML-Style tool call: Expected %s, but found %s\n",
-                    gbnf_format_literal(form.scope_end).c_str(),
-                    gbnf_format_literal(tc->prelude).c_str()
-            );
-            return return_error(builder, start_pos, recovery);
-        }
-    } else {
-        if (all_space(form.scope_end)) return true;
-        builder.consume_spaces();
-        if (builder.pos() == builder.input().size())
-            throw common_chat_msg_partial_exception("incomplete tool calls");
-        LOG_DBG("Failed to parse XML-Style tool call: Expected %s, but found %s\n",
-                gbnf_format_literal(form.scope_end).c_str(),
-                gbnf_format_literal(builder.consume_rest()).c_str()
-        );
-        return return_error(builder, start_pos, recovery);
-    }
-
-    return true;
-}
-
-/**
- * Parse XML-Style tool call for given xml_tool_call_format. Return false for invalid syntax and get the position untouched.
- * May cause std::runtime_error if there is invalid syntax because partial valid tool call is already sent out to client.
- * form.scope_start, form.tool_sep and form.scope_end can be empty.
- */
-bool common_chat_msg_parser::try_consume_xml_tool_calls(const struct xml_tool_call_format & form) {
-    auto pos = pos_;
-    auto tsize = result_.tool_calls.size();
-    try { return parse_xml_tool_calls(*this, form); }
-    catch (const xml_toolcall_syntax_exception&) {}
-    move_to(pos);
-    result_.tool_calls.resize(tsize);
-    return false;
-}
-
-/**
- * Parse content uses reasoning and XML-Style tool call
- * TODO: Note that form.allow_toolcall_in_think is not tested yet. If anyone confirms it works, this comment can be removed.
- */
-inline void parse_msg_with_xml_tool_calls(common_chat_msg_parser & builder, const struct xml_tool_call_format & form, const std::string & start_think = "<think>", const std::string & end_think = "</think>") {
-    constexpr auto rstrip = [](std::string &s) {
-        s.resize(std::distance(s.begin(), std::find_if(s.rbegin(), s.rend(), [](unsigned char ch) { return !std::isspace(ch); }).base()));
-    };
-    // Erase substring from l to r, along with additional spaces nearby
-    constexpr auto erase_spaces = [](auto &str, size_t l, size_t r) {
-        while (/* l > -1 && */ --l < str.size() && std::isspace(static_cast<unsigned char>(str[l])));
-        ++l;
-        while (++r < str.size() && std::isspace(static_cast<unsigned char>(str[r])));
-        if (l < r) str[l] = '\n';
-        if (l + 1 < r) str[l + 1] = '\n';
-        if (l != 0) l += 2;
-        str.erase(l, r - l);
-        return l;
-    };
-    constexpr auto trim_suffix = [](std::string &content, std::initializer_list<std::string_view> list) {
-        auto best_match = content.size();
-        for (auto pattern: list) {
-            if (pattern.size() == 0) continue;
-            for (auto match_idx = content.size() - std::min(pattern.size(), content.size()); content.size() > match_idx; match_idx++) {
-                auto match_len = content.size() - match_idx;
-                if (content.compare(match_idx, match_len, pattern.data(), match_len) == 0 && best_match > match_idx) {
-                    best_match = match_idx;
-                }
-            }
-        }
-        if (content.size() > best_match) {
-            content.erase(best_match);
-        }
-    };
-    const auto trim_potential_partial_word = [&start_think, &end_think, &form, trim_suffix](std::string &content) {
-        return trim_suffix(content, {
-            start_think, end_think, form.scope_start, form.tool_start, form.tool_sep, form.key_start,
-            form.key_val_sep, form.key_val_sep2 ? form.key_val_sep2->c_str() : "",
-            form.val_end, form.last_val_end ? form.last_val_end->c_str() : "",
-            form.tool_end, form.last_tool_end ? form.last_tool_end->c_str() : "",
-            form.scope_end
-        });
-    };
-
-
-    // Trim leading spaces without affecting keyword matching
-    static const common_regex spaces_regex("\\s*");
-    {
-        auto tc = builder.consume_regex(spaces_regex);
-        auto spaces = builder.str(tc.groups[0]);
-        auto s1 = spaces.size();
-        trim_potential_partial_word(spaces);
-        auto s2 = spaces.size();
-        builder.move_to(builder.pos() - (s1 - s2));
-    }
-
-    // Parse content
-    bool reasoning_unclosed = builder.syntax().thinking_forced_open;
-    std::string unclosed_reasoning_content("");
-    for (;;) {
-        auto tc = try_find_2_literal_splited_by_spaces(builder, form.scope_start, form.tool_start);
-        std::string content;
-        std::string tool_call_start;
-
-        if (tc) {
-            content = std::move(tc->prelude);
-            tool_call_start = builder.str(tc->groups[0]);
-            LOG_DBG("Matched tool start: %s\n", gbnf_format_literal(tool_call_start).c_str());
-        } else {
-            content = builder.consume_rest();
-            utf8_truncate_safe_resize(content);
-        }
-
-        // Handle unclosed think block
-        if (reasoning_unclosed) {
-            if (auto pos = content.find(end_think); pos == std::string::npos && builder.pos() != builder.input().size()) {
-                unclosed_reasoning_content += content;
-                if (!(form.allow_toolcall_in_think && tc)) {
-                    unclosed_reasoning_content += tool_call_start;
-                    continue;
-                }
-            } else {
-                reasoning_unclosed = false;
-                std::string reasoning_content;
-                if (pos == std::string::npos) {
-                    reasoning_content = std::move(content);
-                } else {
-                    reasoning_content = content.substr(0, pos);
-                    content.erase(0, pos + end_think.size());
-                }
-                if (builder.pos() == builder.input().size() && all_space(content)) {
-                    rstrip(reasoning_content);
-                    trim_potential_partial_word(reasoning_content);
-                    rstrip(reasoning_content);
-                    if (reasoning_content.empty()) {
-                        rstrip(unclosed_reasoning_content);
-                        trim_potential_partial_word(unclosed_reasoning_content);
-                        rstrip(unclosed_reasoning_content);
-                        if (unclosed_reasoning_content.empty()) continue;
-                    }
-                }
-                if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE || builder.syntax().reasoning_in_content) {
-                    builder.add_content(start_think);
-                    builder.add_content(unclosed_reasoning_content);
-                    builder.add_content(reasoning_content);
-                    if (builder.pos() != builder.input().size() || !all_space(content))
-                        builder.add_content(end_think);
-                } else {
-                    builder.add_reasoning_content(unclosed_reasoning_content);
-                    builder.add_reasoning_content(reasoning_content);
-                }
-                unclosed_reasoning_content.clear();
-            }
-        }
-
-        // Handle multiple think block
-        bool toolcall_in_think = false;
-        for (auto think_start = content.find(start_think); think_start != std::string::npos; think_start = content.find(start_think, think_start)) {
-            if (auto think_end = content.find(end_think, think_start + start_think.size()); think_end != std::string::npos) {
-                if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content) {
-                    auto reasoning_content = content.substr(think_start + start_think.size(), think_end - think_start - start_think.size());
-                    builder.add_reasoning_content(reasoning_content);
-                    think_start = erase_spaces(content, think_start, think_end + end_think.size() - 1);
-                } else {
-                    think_start = think_end + end_think.size() - 1;
-                }
-            } else {
-                // This <tool_call> start is in thinking block, skip this tool call
-                // This <tool_call> start is in thinking block
-                if (form.allow_toolcall_in_think) {
-                    unclosed_reasoning_content = content.substr(think_start + start_think.size());
-                } else {
-                    unclosed_reasoning_content = content.substr(think_start + start_think.size()) + tool_call_start;
-                }
-                reasoning_unclosed = true;
-                content.resize(think_start);
-                toolcall_in_think = true;
-            }
-        }
-
-        if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content) {
-            rstrip(content);
-            // Handle unclosed </think> token from content: delete all </think> token
-            if (auto pos = content.rfind(end_think); pos != std::string::npos) {
-                while (pos != std::string::npos) {
-                    pos = erase_spaces(content, pos, pos + end_think.size() - 1);
-                    pos = content.rfind(end_think, pos);
-                }
-            }
-            // Strip if needed
-            if (content.size() > 0 && std::isspace(static_cast<unsigned char>(content[0]))) {
-                content = string_strip(content);
-            }
-        }
-
-        // remove potential partial suffix
-        if (builder.pos() == builder.input().size()) {
-            if (unclosed_reasoning_content.empty()) {
-                rstrip(content);
-                trim_potential_partial_word(content);
-                rstrip(content);
-            } else {
-                rstrip(unclosed_reasoning_content);
-                trim_potential_partial_word(unclosed_reasoning_content);
-                rstrip(unclosed_reasoning_content);
-            }
-        }
-
-        // consume unclosed_reasoning_content if allow_toolcall_in_think is set
-        if (form.allow_toolcall_in_think && !unclosed_reasoning_content.empty()) {
-            if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content) {
-                builder.add_reasoning_content(unclosed_reasoning_content);
-            } else {
-                if (content.empty()) {
-                    content = start_think + unclosed_reasoning_content;
-                } else {
-                    content += "\n\n" + start_think;
-                    content += unclosed_reasoning_content;
-                }
-            }
-            unclosed_reasoning_content.clear();
-        }
-
-        // Add content
-        if (!content.empty()) {
-            // If there are multiple content blocks
-            if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content && builder.result().content.size() != 0) {
-                builder.add_content("\n\n");
-            }
-            builder.add_content(content);
-        }
-
-        // This <tool_call> start is in thinking block and toolcall_in_think not set, skip this tool call
-        if (toolcall_in_think && !form.allow_toolcall_in_think) {
-            continue;
-        }
-
-        // There is no tool call and all content is parsed
-        if (!tc) {
-            GGML_ASSERT(builder.pos() == builder.input().size());
-            GGML_ASSERT(unclosed_reasoning_content.empty());
-            if (!form.allow_toolcall_in_think) GGML_ASSERT(!reasoning_unclosed);
-            break;
-        }
-
-        builder.move_to(tc->groups[0].begin);
-        if (builder.try_consume_xml_tool_calls(form)) {
-            auto end_of_tool = builder.pos();
-            builder.consume_spaces();
-            if (builder.pos() != builder.input().size()) {
-                builder.move_to(end_of_tool);
-                if (!builder.result().content.empty()) {
-                    builder.add_content("\n\n");
-                }
-            }
-        } else {
-            static const common_regex next_char_regex(".");
-            auto c = builder.str(builder.consume_regex(next_char_regex).groups[0]);
-            rstrip(c);
-            builder.add_content(c);
-        }
-    }
-}
-
-/**
- * Parse content uses reasoning and XML-Style tool call
- */
-void common_chat_msg_parser::consume_reasoning_with_xml_tool_calls(const struct xml_tool_call_format & form, const std::string & start_think, const std::string & end_think) {
-    parse_msg_with_xml_tool_calls(*this, form, start_think, end_think);
-}
diff --git a/common/chat-parser-xml-toolcall.h b/common/chat-parser-xml-toolcall.h
deleted file mode 100644
index b309fb66705..00000000000
--- a/common/chat-parser-xml-toolcall.h
+++ /dev/null
@@ -1,45 +0,0 @@
-#pragma once
-
-#include "chat.h"
-
-#include <nlohmann/json.hpp>
-
-#include <optional>
-#include <string>
-#include <vector>
-
-
-// Sample config:
-// MiniMax-M2 (left): <minimax:tool_call>\n<invoke name="tool-name">\n<parameter name="key">value</parameter>\n...</invoke>\n...</minimax:tool_call>
-// GLM 4.5   (right): <tool_call>function_name\n<arg_key>key</arg_key>\n<arg_value>value</arg_value>\n</tool_call>
-struct xml_tool_call_format {
-    std::string scope_start; // <minimax:tool_call>\n  // \n                      // can be empty
-    std::string tool_start;  // <invoke name=\"        // <tool_call>
-    std::string tool_sep;    // \">\n                  // \n                      // can be empty only for parse_xml_tool_calls
-    std::string key_start;   // <parameter name=\"     // <arg_key>
-    std::string key_val_sep; // \">                    // </arg_key>\n<arg_value>
-    std::string val_end;     // </parameter>\n         // </arg_value>\n
-    std::string tool_end;    // </invoke>\n            // </tool_call>\n
-    std::string scope_end;   // </minimax:tool_call>   //                         // can be empty
-    // Set this if there can be dynamic spaces inside key_val_sep.
-    // e.g. key_val_sep=</arg_key> key_val_sep2=<arg_value> for GLM4.5
-    std::optional<std::string> key_val_sep2 = std::nullopt;
-    // Set true if argval should only be raw string. e.g. Hello "world" hi
-    // Set false if argval should only be json string. e.g. "Hello \"world\" hi"
-    // Defaults to std::nullopt, both will be allowed.
-    std::optional<bool> raw_argval = std::nullopt;
-    std::optional<std::string> last_val_end = std::nullopt;
-    std::optional<std::string> last_tool_end = std::nullopt;
-    bool trim_raw_argval = false;
-    bool allow_toolcall_in_think = false;
-};
-
-// make a GBNF that accept any strings except those containing any of the forbidden strings.
-std::string make_gbnf_excluding(std::vector<std::string> forbids);
-
-/**
- * Build grammar for xml-style tool call
- * form.scope_start and form.scope_end can be empty.
- * Requires data.format for model-specific hacks.
- */
-void build_grammar_xml_tool_call(common_chat_params & data, const nlohmann::ordered_json & tools, const struct xml_tool_call_format & form);
diff --git a/common/chat-parser.cpp b/common/chat-parser.cpp
deleted file mode 100644
index 29819e48d3b..00000000000
--- a/common/chat-parser.cpp
+++ /dev/null
@@ -1,1669 +0,0 @@
-#include "chat-parser.h"
-#include "chat-peg-parser.h"
-#include "common.h"
-#include "log.h"
-#include "peg-parser.h"
-#include "regex-partial.h"
-
-#include <algorithm>
-#include <cctype>
-#include <optional>
-#include <stdexcept>
-#include <string>
-#include <string_view>
-#include <vector>
-
-using json = nlohmann::ordered_json;
-
-static void parse_prefixed_json_tool_call_array(common_chat_msg_parser & builder,
-                                                const common_regex &     prefix,
-                                                size_t                   rstrip_prefix = 0) {
-    static const std::vector<std::vector<std::string>> args_paths = { { "arguments" } };
-    if (auto res = builder.try_find_regex(prefix)) {
-        builder.move_back(rstrip_prefix);
-        auto tool_calls = builder.consume_json_with_dumped_args(args_paths);
-        if (!builder.add_tool_calls(tool_calls.value) || tool_calls.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete tool call array");
-        }
-    } else {
-        builder.add_content(builder.consume_rest());
-    }
-}
-
-static std::string wrap_code_as_arguments(common_chat_msg_parser & builder, const std::string & code) {
-    std::string arguments;
-    if (builder.is_partial()) {
-        arguments = (json{
-                         { "code", code + builder.healing_marker() }
-        })
-                        .dump();
-        auto idx = arguments.find(builder.healing_marker());
-        if (idx != std::string::npos) {
-            arguments.resize(idx);
-        }
-    } else {
-        arguments = (json{
-                         { "code", code }
-        })
-                        .dump();
-    }
-    return arguments;
-}
-
-/**
- * Takes a prefix regex that must have 1 group to capture the function name, a closing suffix, and expects json parameters in between.
- * Aggregates the prefix, suffix and in-between text into the content.
- */
-static void parse_json_tool_calls(
-    common_chat_msg_parser &            builder,
-    const std::optional<common_regex> & block_open,
-    const std::optional<common_regex> & function_regex_start_only,
-    const std::optional<common_regex> & function_regex,
-    const common_regex &                close_regex,
-    const std::optional<common_regex> & block_close,
-    bool                                allow_raw_python = false,
-    const std::function<std::string(const common_chat_msg_parser::find_regex_result & fres)> & get_function_name =
-        nullptr) {
-    auto parse_tool_calls = [&]() {
-        size_t from  = std::string::npos;
-        auto   first = true;
-        while (true) {
-            auto start_pos = builder.pos();
-            auto res = function_regex_start_only && first ? builder.try_consume_regex(*function_regex_start_only) :
-                       function_regex                     ? builder.try_find_regex(*function_regex, from) :
-                                                            std::nullopt;
-
-            if (res) {
-                std::string name;
-                if (get_function_name) {
-                    name = get_function_name(*res);
-                } else {
-                    GGML_ASSERT(res->groups.size() == 2);
-                    name = builder.str(res->groups[1]);
-                }
-                first = false;
-                if (name.empty()) {
-                    // get_function_name signalled us that we should skip this match and treat it as content.
-                    from = res->groups[0].begin + 1;
-                    continue;
-                }
-                from = std::string::npos;
-
-                auto maybe_raw_python = name == "python" && allow_raw_python;
-                if (builder.input()[builder.pos()] == '{' || !maybe_raw_python) {
-                    if (auto arguments = builder.try_consume_json_with_dumped_args({ {} })) {
-                        if (!builder.add_tool_call(name, "", arguments->value) || arguments->is_partial) {
-                            throw common_chat_msg_partial_exception("incomplete tool call");
-                        }
-                        builder.consume_regex(close_regex);
-                    }
-                    continue;
-                }
-                if (maybe_raw_python) {
-                    auto arguments = wrap_code_as_arguments(builder, builder.consume_rest());
-                    if (!builder.add_tool_call(name, "", arguments)) {
-                        throw common_chat_msg_partial_exception("incomplete tool call");
-                    }
-                    return;
-                }
-                throw common_chat_msg_partial_exception("incomplete tool call");
-            } else {
-                builder.move_to(start_pos);
-            }
-            break;
-        }
-        if (block_close) {
-            builder.consume_regex(*block_close);
-        }
-        builder.consume_spaces();
-        builder.add_content(builder.consume_rest());
-    };
-    if (block_open) {
-        if (auto res = builder.try_find_regex(*block_open)) {
-            parse_tool_calls();
-        } else {
-            builder.add_content(builder.consume_rest());
-        }
-    } else {
-        parse_tool_calls();
-    }
-}
-
-common_chat_msg_parser::common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_parser_params & syntax)
-    : input_(input), is_partial_(is_partial), syntax_(syntax)
-{
-    result_.role = "assistant";
-
-    while (true) {
-        std::string id = std::to_string(std::rand());
-        if (input.find(id) == std::string::npos) {
-            healing_marker_ = id;
-            break;
-        }
-    }
-}
-
-std::string common_chat_msg_parser::str(const common_string_range & rng) const {
-    GGML_ASSERT(rng.begin <= rng.end);
-    return input_.substr(rng.begin, rng.end - rng.begin);
-}
-
-void common_chat_msg_parser::add_content(const std::string &content) {
-    result_.content += content;
-}
-
-void common_chat_msg_parser::add_reasoning_content(const std::string &reasoning_content) {
-    result_.reasoning_content += reasoning_content;
-}
-
-bool common_chat_msg_parser::add_tool_call(const std::string & name, const std::string & id, const std::string & arguments) {
-    if (name.empty()) {
-        return false;
-    }
-
-    common_chat_tool_call tool_call;
-    tool_call.name = name;
-    tool_call.arguments = arguments;
-    tool_call.id = id;
-
-    // LOG_DBG("Tool call arguments:\n\traw: %s\n\tresult: %s\n", arguments.c_str(), tool_call.arguments.c_str());
-    result_.tool_calls.emplace_back(tool_call);
-
-    return true;
-}
-bool common_chat_msg_parser::add_tool_call(const json & tool_call) {
-    std::string name = tool_call.contains("name") ? tool_call.at("name") : "";
-    std::string id = tool_call.contains("id") ? tool_call.at("id") : "";
-    std::string arguments = "";
-    if (tool_call.contains("arguments")) {
-        if (tool_call.at("arguments").is_object()) {
-            arguments = tool_call.at("arguments").dump();
-        } else {
-            arguments = tool_call.at("arguments");
-        }
-    }
-
-    return add_tool_call(name, id, arguments);
-}
-
-bool common_chat_msg_parser::add_tool_calls(const json & arr) {
-    for (const auto & item : arr) {
-        if (!add_tool_call(item)) {
-            return false;
-        }
-    }
-    return true;
-}
-
-bool common_chat_msg_parser::add_tool_call_short_form(const json & tool_call) {
-    if (!tool_call.is_object() || tool_call.size() != 1) {
-        return false;
-    }
-
-    // Get the tool name (the single key in the object)
-    auto it = tool_call.begin();
-    std::string name = it.key();
-
-    if (name.empty()) {
-        return false;
-    }
-
-    // Get the arguments (the nested object)
-    const json & args_json = it.value();
-    std::string arguments = "";
-
-    if (args_json.is_object()) {
-        arguments = args_json.dump();
-    } else if (args_json.is_string()) {
-        arguments = args_json;
-    } else if (!args_json.is_null()) {
-        // For other types, convert to string representation
-        arguments = args_json.dump();
-    }
-
-    return add_tool_call(name, "", arguments);
-}
-void common_chat_msg_parser::finish() {
-    if (!is_partial_ && pos_ != input_.size()) {
-        throw std::runtime_error("Unexpected content at end of input");// + input_.substr(pos_));
-    }
-}
-
-bool common_chat_msg_parser::consume_spaces() {
-    const auto length = input_.size();
-    auto consumed = false;
-    while (pos_ < length && std::isspace(input_[pos_])) {
-        ++pos_;
-        consumed = true;
-    }
-    return consumed;
-}
-
-bool common_chat_msg_parser::try_consume_literal(const std::string & literal) {
-    auto pos = pos_;
-    for (auto i = 0u; i < literal.size(); ++i) {
-        if (pos >= input_.size()) {
-            return false;
-        }
-        if (input_[pos] != literal[i]) {
-            return false;
-        }
-        ++pos;
-    }
-    pos_ = pos;
-    return true;
-}
-
-std::optional<common_chat_msg_parser::find_regex_result>  common_chat_msg_parser::try_find_literal(const std::string & literal) {
-    auto idx = input_.find(literal, pos_);
-    if (idx != std::string::npos) {
-        find_regex_result res;
-        res.prelude = input_.substr(pos_, idx - pos_);
-        auto end = idx + literal.size();
-        res.groups.emplace_back(common_string_range{idx, end});
-        move_to(end);
-        return res;
-    }
-    if (is_partial_) {
-        idx = string_find_partial_stop(input_, literal);
-        if (idx != std::string::npos && idx >= pos_) {
-            find_regex_result res;
-            res.prelude = input_.substr(pos_, idx - pos_);
-            auto end = input_.size();
-            res.groups.emplace_back(common_string_range{idx, end});
-            move_to(end);
-            return res;
-        }
-    }
-    return std::nullopt;
-}
-
-void common_chat_msg_parser::consume_literal(const std::string & literal) {
-    if (!try_consume_literal(literal)) {
-        throw common_chat_msg_partial_exception(literal);
-    }
-}
-
-bool common_chat_msg_parser::try_parse_reasoning(const std::string & start_think, const std::string & end_think) {
-    std::string pending_reasoning_prefix;
-
-    if (syntax_.reasoning_format == COMMON_REASONING_FORMAT_NONE) {
-        return false;
-    }
-
-    auto set_reasoning_prefix = [&](size_t prefix_pos) {
-        if (!syntax_.thinking_forced_open || syntax_.reasoning_in_content) {
-            return;
-        }
-        if (prefix_pos + start_think.size() > input_.size()) {
-            pending_reasoning_prefix.clear();
-            return;
-        }
-        // Capture the exact literal that opened the reasoning section so we can
-        // surface it back to callers. This ensures formats that force the
-        // reasoning tag open (e.g. DeepSeek R1) retain their original prefix
-        // instead of dropping it during parsing.
-        pending_reasoning_prefix = input_.substr(prefix_pos, start_think.size());
-    };
-
-    auto handle_reasoning = [&](const std::string & reasoning, bool closed) {
-        auto stripped_reasoning = string_strip(reasoning);
-        if (stripped_reasoning.empty()) {
-            return;
-        }
-        if (syntax_.reasoning_in_content) {
-            add_content(syntax_.reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK ? "<think>" : start_think);
-            add_content(stripped_reasoning);
-            if (closed) {
-                add_content(syntax_.reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK ? "</think>" : end_think);
-            }
-        } else {
-            if (!pending_reasoning_prefix.empty()) {
-                add_reasoning_content(pending_reasoning_prefix);
-                pending_reasoning_prefix.clear();
-            }
-            add_reasoning_content(stripped_reasoning);
-        }
-    };
-
-    const size_t saved_pos = pos_;
-    const size_t saved_content_size = result_.content.size();
-    const size_t saved_reasoning_size = result_.reasoning_content.size();
-
-    auto restore_state = [&]() {
-        move_to(saved_pos);
-        result_.content.resize(saved_content_size);
-        result_.reasoning_content.resize(saved_reasoning_size);
-    };
-
-    // Allow leading whitespace to be preserved as content when reasoning is present at the start
-    size_t cursor = pos_;
-    size_t whitespace_end = cursor;
-    while (whitespace_end < input_.size() && std::isspace(static_cast<unsigned char>(input_[whitespace_end]))) {
-        ++whitespace_end;
-    }
-
-    if (whitespace_end >= input_.size()) {
-        restore_state();
-        if (syntax_.thinking_forced_open) {
-            auto rest = input_.substr(saved_pos);
-            if (!rest.empty()) {
-                handle_reasoning(rest, /* closed */ !is_partial());
-            }
-            move_to(input_.size());
-            return true;
-        }
-        return false;
-    }
-
-    cursor = whitespace_end;
-    const size_t remaining = input_.size() - cursor;
-    const size_t start_prefix = std::min(start_think.size(), remaining);
-    const bool has_start_tag = input_.compare(cursor, start_prefix, start_think, 0, start_prefix) == 0;
-
-    if (has_start_tag && start_prefix < start_think.size()) {
-        move_to(input_.size());
-        return true;
-    }
-
-    if (has_start_tag) {
-        if (whitespace_end > pos_) {
-            add_content(input_.substr(pos_, whitespace_end - pos_));
-        }
-        set_reasoning_prefix(cursor);
-        cursor += start_think.size();
-    } else if (syntax_.thinking_forced_open) {
-        cursor = whitespace_end;
-    } else {
-        restore_state();
-        return false;
-    }
-    while (true) {
-        if (cursor >= input_.size()) {
-            move_to(input_.size());
-            return true;
-        }
-
-        size_t end_pos = input_.find(end_think, cursor);
-        if (end_pos == std::string::npos) {
-            std::string_view remaining_view(input_.data() + cursor, input_.size() - cursor);
-            size_t partial_off = string_find_partial_stop(remaining_view, end_think);
-            size_t reasoning_end = partial_off == std::string::npos ? input_.size() : cursor + partial_off;
-            if (reasoning_end > cursor) {
-                handle_reasoning(input_.substr(cursor, reasoning_end - cursor), /* closed */ partial_off == std::string::npos && !is_partial());
-            }
-            move_to(input_.size());
-            return true;
-        }
-
-        if (end_pos > cursor) {
-            handle_reasoning(input_.substr(cursor, end_pos - cursor), /* closed */ true);
-        } else {
-            handle_reasoning("", /* closed */ true);
-        }
-
-        cursor = end_pos + end_think.size();
-
-        while (cursor < input_.size() && std::isspace(static_cast<unsigned char>(input_[cursor]))) {
-            ++cursor;
-        }
-
-        const size_t next_remaining = input_.size() - cursor;
-        if (next_remaining == 0) {
-            move_to(cursor);
-            return true;
-        }
-
-        const size_t next_prefix = std::min(start_think.size(), next_remaining);
-        if (input_.compare(cursor, next_prefix, start_think, 0, next_prefix) == 0) {
-            if (next_prefix < start_think.size()) {
-                move_to(input_.size());
-                return true;
-            }
-            set_reasoning_prefix(cursor);
-            cursor += start_think.size();
-            continue;
-        }
-
-        move_to(cursor);
-        return true;
-    }
-}
-
-std::string common_chat_msg_parser::consume_rest() {
-    auto rest = input_.substr(pos_);
-    pos_ = input_.size();
-    return rest;
-}
-
-// Tries to find the regex, consumes it (pos right after it) and gives the prelude (right before it) and the groups to the callback.
-std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_find_regex(const common_regex & regex, size_t from, bool add_prelude_to_content) {
-    auto m = regex.search(input_, from == std::string::npos ? pos_ : from);
-    if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) {
-        return std::nullopt;
-    }
-    auto prelude = input_.substr(pos_, m.groups[0].begin - pos_);
-    pos_ = m.groups[0].end;
-
-    if (add_prelude_to_content) {
-        add_content(prelude);
-    }
-    if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) {
-        if (is_partial()) {
-            throw common_chat_msg_partial_exception(regex.str());
-        }
-        return std::nullopt;
-    }
-    return find_regex_result{prelude, m.groups};
-}
-
-common_chat_msg_parser::find_regex_result common_chat_msg_parser::consume_regex(const common_regex & regex) {
-    if (auto result = try_consume_regex(regex)) {
-        return *result;
-    }
-    throw common_chat_msg_partial_exception(regex.str());
-}
-
-std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_consume_regex(const common_regex & regex) {
-    auto m = regex.search(input_, pos_);
-    if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) {
-        return std::nullopt;
-    }
-    if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) {
-        if (is_partial()) {
-            throw common_chat_msg_partial_exception(regex.str());
-        }
-        return std::nullopt;
-    }
-    if (m.groups[0].begin != pos_) {
-        // Didn't match at the current position.
-        return std::nullopt;
-    }
-    pos_ = m.groups[0].end;
-
-    return find_regex_result {
-        /* .prelude = */ "",
-        m.groups,
-    };
-}
-
-std::optional<common_json> common_chat_msg_parser::try_consume_json() {
-    auto it = input_.cbegin() + pos_;
-    const auto end = input_.cend();
-    common_json result;
-    if (!common_json_parse(it, end, healing_marker_, result)) {
-        return std::nullopt;
-    }
-    pos_ = std::distance(input_.cbegin(), it);
-    if (result.healing_marker.marker.empty()) {
-        // No healing marker, just return the parsed json
-        return result;
-    }
-    if (!is_partial()) {
-        throw common_chat_msg_partial_exception("JSON");
-    }
-    return result;
-}
-
-common_json common_chat_msg_parser::consume_json() {
-    if (auto result = try_consume_json()) {
-        return *result;
-    }
-    throw common_chat_msg_partial_exception("JSON");
-}
-
-common_chat_msg_parser::consume_json_result common_chat_msg_parser::consume_json_with_dumped_args(
-    const std::vector<std::vector<std::string>> & args_paths,
-    const std::vector<std::vector<std::string>> & content_paths
-) {
-    if (auto result = try_consume_json_with_dumped_args(args_paths, content_paths)) {
-        return *result;
-    }
-    throw common_chat_msg_partial_exception("JSON");
-}
-
-std::optional<common_chat_msg_parser::consume_json_result> common_chat_msg_parser::try_consume_json_with_dumped_args(
-    const std::vector<std::vector<std::string>> & args_paths,
-    const std::vector<std::vector<std::string>> & content_paths
-) {
-    auto partial = try_consume_json();
-    if (!partial) {
-        return std::nullopt;
-    }
-    auto is_arguments_path = [&](const std::vector<std::string> & path) {
-        return std::find(args_paths.begin(), args_paths.end(), path) != args_paths.end();
-    };
-    auto is_content_path = [&](const std::vector<std::string> & path) {
-        return std::find(content_paths.begin(), content_paths.end(), path) != content_paths.end();
-    };
-
-    if (partial->healing_marker.marker.empty()) {
-        if (args_paths.empty()) {
-            // No arguments to dump, and JSON was parsed fully.
-            return consume_json_result {
-                partial->json,
-                /* .is_partial = */ false,
-            };
-        }
-        if (is_arguments_path({})) {
-            // Entire JSON is the arguments and was parsed fully.
-            return consume_json_result {
-                partial->json.dump(/* indent */ -1, /* indent_char */ ' ', /* ensure_ascii */ true),
-                /* .is_partial = */ false,
-            };
-        }
-    }
-
-    LOG_DBG("Parsed partial JSON: %s (json_healing_marker: %s)\n", partial->json.dump().c_str(), partial->healing_marker.json_dump_marker.c_str());
-
-    auto found_healing_marker = false;
-    std::vector<std::string> path;
-    std::function<json(const json &)> remove_unsupported_healings_and_dump_args = [&](const json & j) -> json {
-        if (is_arguments_path(path)) {
-            auto arguments = j.dump(/* indent */ -1, /* indent_char */ ' ', /* ensure_ascii */ true);
-            if (is_partial() && !partial->healing_marker.marker.empty()) {
-                auto idx = arguments.find(partial->healing_marker.json_dump_marker);
-                if (idx != std::string::npos) {
-                    arguments.resize(idx);
-                    found_healing_marker = true;
-                }
-                if (arguments == "\"") {
-                    // This happens because of completing `:"$magic` after `"arguments"`
-                    arguments = "";
-                }
-            }
-            return arguments;
-        }
-        if (is_content_path(path)) {
-            if (!j.is_string()) {
-                throw std::runtime_error("Content path must be a string");
-            }
-            std::string str = j;
-            auto idx = str.find(partial->healing_marker.marker); // not using json_dump_marker as we're inside a string
-            if (idx != std::string::npos) {
-                str.resize(idx);
-                found_healing_marker = true;
-            }
-            return str;
-        }
-        if (j.is_object()) {
-            auto obj = json::object();
-            for (const auto & p : j.items()) {
-                const auto & key = p.key();
-                const auto & value = p.value();
-                const std::string key_str = key; // NOLINT
-                auto idx = key_str.find(healing_marker_);
-                if (idx != std::string::npos) {
-                    found_healing_marker = true;
-                    break;
-                }
-                path.push_back(key_str);
-                if (value.is_string()) {
-                    const std::string value_str = value;
-                    if (value_str.find(healing_marker_) != std::string::npos) {
-                        found_healing_marker = true;
-                        if (is_content_path(path)) {
-                            if (partial->healing_marker.marker == partial->healing_marker.json_dump_marker) {
-                                // The healing occurred inside the string: good. Otherwise we just ditch the entire key/value pair.
-                                obj[key] = remove_unsupported_healings_and_dump_args(value);
-                            }
-                        }
-                        break;
-                    }
-                    obj[key] = value;
-                } else {
-                    obj[key] = remove_unsupported_healings_and_dump_args(value);
-                }
-                path.pop_back();
-            }
-            return obj;
-        }
-        if (j.is_array()) {
-            auto arr = json::array();
-            for (const auto & value : j) {
-                if (value.is_string()) {
-                    std::string str = value;
-                    auto idx = str.find(healing_marker_);
-                    if (idx != std::string::npos) {
-                        // Don't heal array values that aren't in the arguments.
-                        found_healing_marker = true;
-                        break;
-                    }
-                }
-                arr.push_back(remove_unsupported_healings_and_dump_args(value));
-            }
-            return arr;
-        }
-        return j;
-    };
-
-    auto cleaned = remove_unsupported_healings_and_dump_args(partial->json);
-    LOG_DBG("Cleaned up JSON %s to %s (json_healing_marker : '%s')\n", partial->json.dump().c_str(), cleaned.dump().c_str(), partial->healing_marker.json_dump_marker.c_str());
-    return consume_json_result {
-        cleaned,
-        /* .is_partial = */ found_healing_marker,
-    };
-}
-
-void common_chat_msg_parser::clear_tools() {
-    result_.tool_calls.clear();
-}
-
-/**
- * All common_chat_parse_* moved from chat.cpp to chat-parser.cpp below
- * to reduce incremental compile time for parser changes.
- */
-static void common_chat_parse_generic(common_chat_msg_parser & builder) {
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-    static const std::vector<std::vector<std::string>> content_paths = {
-        {"response"},
-    };
-    static const std::vector<std::vector<std::string>> args_paths = {
-        {"tool_call", "arguments"},
-        {"tool_calls", "arguments"},
-    };
-    auto data = builder.consume_json_with_dumped_args(args_paths, content_paths);
-    if (data.value.contains("tool_calls")) {
-        if (!builder.add_tool_calls(data.value.at("tool_calls")) || data.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete tool calls");
-        }
-    } else if (data.value.contains("tool_call")) {
-        if (!builder.add_tool_call(data.value.at("tool_call")) || data.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete tool call");
-        }
-    } else if (data.value.contains("response")) {
-        const auto & response = data.value.at("response");
-        builder.add_content(response.is_string() ? response.template get<std::string>() : response.dump(2));
-        if (data.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete response");
-        }
-    } else {
-        throw common_chat_msg_partial_exception("Expected 'tool_call', 'tool_calls' or 'response' in JSON");
-    }
-}
-
-static void common_chat_parse_mistral_nemo(common_chat_msg_parser & builder) {
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    static const common_regex prefix(regex_escape("[TOOL_CALLS]"));
-    parse_prefixed_json_tool_call_array(builder, prefix);
-}
-
-static void common_chat_parse_magistral(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("[THINK]", "[/THINK]");
-
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    static const common_regex prefix(regex_escape("[TOOL_CALLS]"));
-    parse_prefixed_json_tool_call_array(builder, prefix);
-}
-
-static void common_chat_parse_command_r7b(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>");
-
-    static const common_regex start_action_regex("<\\|START_ACTION\\|>");
-    static const common_regex end_action_regex("<\\|END_ACTION\\|>");
-    static const common_regex start_response_regex("<\\|START_RESPONSE\\|>");
-    static const common_regex end_response_regex("<\\|END_RESPONSE\\|>");
-
-    if (auto res = builder.try_find_regex(start_action_regex)) {
-        // If we didn't extract thoughts, prelude includes them.
-        auto tool_calls = builder.consume_json_with_dumped_args({{"parameters"}});
-        for (const auto & tool_call : tool_calls.value) {
-            std::string name = tool_call.contains("tool_name") ? tool_call.at("tool_name") : "";
-            std::string id = tool_call.contains("tool_call_id") ? tool_call.at("tool_call_id") : "";
-            std::string arguments = tool_call.contains("parameters") ? tool_call.at("parameters") : "";
-            if (!builder.add_tool_call(name, id, arguments) || tool_calls.is_partial) {
-                throw common_chat_msg_partial_exception("incomplete tool call");
-            }
-        }
-        if (tool_calls.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete tool call");
-        }
-        builder.consume_regex(end_action_regex);
-    } else if (auto res = builder.try_find_regex(start_response_regex)) {
-        if (!builder.try_find_regex(end_response_regex)) {
-            builder.add_content(builder.consume_rest());
-            throw common_chat_msg_partial_exception(end_response_regex.str());
-        }
-    } else {
-        builder.add_content(builder.consume_rest());
-    }
-}
-
-static void common_chat_parse_llama_3_1(common_chat_msg_parser & builder, bool with_builtin_tools = false) {
-    builder.try_parse_reasoning("<think>", "</think>");
-
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    static const common_regex function_regex(
-        "\\s*\\{\\s*(?:\"type\"\\s*:\\s*\"function\"\\s*,\\s*)?\"name\"\\s*:\\s*\"([^\"]+)\"\\s*,\\s*\"parameters\"\\s*: ");
-    static const common_regex close_regex("\\}\\s*");
-
-    static const common_regex function_name_regex("\\s*(\\w+)\\s*\\.\\s*call\\(");
-    static const common_regex arg_name_regex("\\s*(\\w+)\\s*=\\s*");
-
-    if (with_builtin_tools) {
-        static const common_regex builtin_call_regex("<\\|python_tag\\|>");
-        if (auto res = builder.try_find_regex(builtin_call_regex)) {
-            auto fun_res = builder.consume_regex(function_name_regex);
-            auto function_name = builder.str(fun_res.groups[1]);
-
-            common_healing_marker healing_marker;
-            json args = json::object();
-            while (true) {
-                if (auto arg_res = builder.try_consume_regex(arg_name_regex)) {
-                    auto arg_name = builder.str(arg_res->groups[1]);
-                    auto partial = builder.consume_json();
-                    args[arg_name] = partial.json;
-                    healing_marker.marker = partial.healing_marker.marker;
-                    healing_marker.json_dump_marker = partial.healing_marker.json_dump_marker;
-                    builder.consume_spaces();
-                    if (!builder.try_consume_literal(",")) {
-                        break;
-                    }
-                } else {
-                    break;
-                }
-            }
-            builder.consume_literal(")");
-            builder.consume_spaces();
-
-            auto arguments = args.dump();
-            if (!builder.add_tool_call(function_name, "", arguments)) {
-                throw common_chat_msg_partial_exception("Incomplete tool call");
-            }
-            return;
-        }
-    }
-    parse_json_tool_calls(
-        builder,
-        /* block_open= */ std::nullopt,
-        /* function_regex_start_only= */ function_regex,
-        /* function_regex= */ std::nullopt,
-        close_regex,
-        std::nullopt);
-
-}
-
-static void common_chat_parse_deepseek_r1(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("<think>", "</think>");
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    static const common_regex tool_calls_begin("(?:<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)");
-    static const common_regex tool_calls_end("<｜tool▁calls▁end｜>");
-    static const common_regex function_regex("(?:<｜tool▁call▁begin｜>)?function<｜tool▁sep｜>([^\n]+)\n```json\n");
-    static const common_regex close_regex("```[\\s\\r\\n]*<｜tool▁call▁end｜>");
-
-    parse_json_tool_calls(
-        builder,
-        /* block_open= */ tool_calls_begin,
-        /* function_regex_start_only= */ std::nullopt,
-        function_regex,
-        close_regex,
-        tool_calls_end);
-}
-
-static void common_chat_parse_deepseek_v3_1_content(common_chat_msg_parser & builder) {
-    static const common_regex function_regex("(?:<｜tool▁call▁begin｜>)?([^\\n<]+)(?:<｜tool▁sep｜>)");
-
-    static const common_regex close_regex("(?:[\\s]*)?<｜tool▁call▁end｜>");
-    static const common_regex tool_calls_begin("(?:<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)");
-    static const common_regex tool_calls_end("<｜tool▁calls▁end｜>");
-
-    if (!builder.syntax().parse_tool_calls) {
-        LOG_DBG("%s: not parse_tool_calls\n", __func__);
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    LOG_DBG("%s: parse_tool_calls\n", __func__);
-
-    parse_json_tool_calls(
-        builder,
-        /* block_open= */ tool_calls_begin,
-        /* function_regex_start_only= */ std::nullopt,
-        function_regex,
-        close_regex,
-        tool_calls_end);
-}
-
-static void common_chat_parse_deepseek_v3_1(common_chat_msg_parser & builder) {
-    // DeepSeek V3.1 outputs reasoning content between "<think>" and "</think>" tags, followed by regular content
-    // First try to parse using the standard reasoning parsing method
-    LOG_DBG("%s: thinking_forced_open: %s\n", __func__, std::to_string(builder.syntax().thinking_forced_open).c_str());
-
-    auto start_pos = builder.pos();
-    auto found_end_think = builder.try_find_literal("</think>");
-    builder.move_to(start_pos);
-
-    if (builder.syntax().thinking_forced_open && !builder.is_partial() && !found_end_think) {
-        LOG_DBG("%s: no end_think, not partial, adding content\n", __func__);
-        common_chat_parse_deepseek_v3_1_content(builder);
-    } else if (builder.try_parse_reasoning("<think>", "</think>")) {
-        // If reasoning was parsed successfully, the remaining content is regular content
-        LOG_DBG("%s: parsed reasoning, adding content\n", __func__);
-        // </think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>NAME\n```json\nJSON\n```<｜tool▁call▁end｜><｜tool▁calls▁end｜>
-        common_chat_parse_deepseek_v3_1_content(builder);
-    } else {
-        if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE) {
-          LOG_DBG("%s: reasoning_format none, adding content\n", __func__);
-          common_chat_parse_deepseek_v3_1_content(builder);
-          return;
-        }
-        // If no reasoning tags found, check if we should treat everything as reasoning
-        if (builder.syntax().thinking_forced_open) {
-            // If thinking is forced open but no tags found, treat everything as reasoning
-            LOG_DBG("%s: thinking_forced_open, adding reasoning content\n", __func__);
-            builder.add_reasoning_content(builder.consume_rest());
-        } else {
-            LOG_DBG("%s: no thinking_forced_open, adding content\n", __func__);
-            // <｜tool▁call▁begin｜>NAME<｜tool▁sep｜>JSON<｜tool▁call▁end｜>
-            common_chat_parse_deepseek_v3_1_content(builder);
-        }
-    }
-}
-
-static void common_chat_parse_minimax_m2(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form {
-        /* form.scope_start = */ "<minimax:tool_call>",
-        /* form.tool_start  = */ "<invoke name=\"",
-        /* form.tool_sep    = */ "\">",
-        /* form.key_start   = */ "<parameter name=\"",
-        /* form.key_val_sep = */ "\">",
-        /* form.val_end     = */ "</parameter>",
-        /* form.tool_end    = */ "</invoke>",
-        /* form.scope_end   = */ "</minimax:tool_call>",
-    };
-    builder.consume_reasoning_with_xml_tool_calls(form, "<think>", "</think>");
-}
-
-static void common_chat_parse_qwen3_coder_xml(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "<tool_call>";
-        form.tool_start  = "<function=";
-        form.tool_sep    = ">";
-        form.key_start   = "<parameter=";
-        form.key_val_sep = ">";
-        form.val_end     = "</parameter>";
-        form.tool_end    = "</function>";
-        form.scope_end   = "</tool_call>";
-        form.trim_raw_argval = true;
-        return form;
-    })();
-    builder.consume_reasoning_with_xml_tool_calls(form);
-}
-
-static void common_chat_parse_kimi_k2(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "<|tool_calls_section_begin|>";
-        form.tool_start  = "<|tool_call_begin|>";
-        form.tool_sep    = "<|tool_call_argument_begin|>{";
-        form.key_start   = "\"";
-        form.key_val_sep = "\":";
-        form.val_end     = ",";
-        form.tool_end    = "}<|tool_call_end|>";
-        form.scope_end   = "<|tool_calls_section_end|>";
-        form.raw_argval  = false;
-        form.last_val_end = "";
-        form.allow_toolcall_in_think = true;
-        return form;
-    })();
-    builder.consume_reasoning_with_xml_tool_calls(form, "<think>", "</think>");
-}
-
-static void common_chat_parse_apriel_1_5(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "<tool_calls>[";
-        form.tool_start  = "{\"name\": \"";
-        form.tool_sep    = "\", \"arguments\": {";
-        form.key_start   = "\"";
-        form.key_val_sep = "\": ";
-        form.val_end     = ", ";
-        form.tool_end    = "}, ";
-        form.scope_end   = "]</tool_calls>";
-        form.raw_argval  = false;
-        form.last_val_end = "";
-        form.last_tool_end = "}";
-        return form;
-    })();
-    builder.consume_reasoning_with_xml_tool_calls(form, "<thinking>", "</thinking>");
-}
-
-static void common_chat_parse_xiaomi_mimo(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "";
-        form.tool_start  = "<tool_call>\n{\"name\": \"";
-        form.tool_sep    = "\", \"arguments\": {";
-        form.key_start   = "\"";
-        form.key_val_sep = "\": ";
-        form.val_end     = ", ";
-        form.tool_end    = "}\n</tool_call>";
-        form.scope_end   = "";
-        form.raw_argval  = false;
-        form.last_val_end = "";
-        return form;
-    })();
-    builder.consume_reasoning_with_xml_tool_calls(form);
-}
-
-static void common_chat_parse_gpt_oss(common_chat_msg_parser & builder) {
-    static const std::string constraint = "(?: (<\\|constrain\\|>)?([a-zA-Z0-9_-]+))";
-    static const std::string recipient("(?: to=functions\\.([^<\\s]+))");
-
-    static const common_regex start_regex("<\\|start\\|>assistant");
-    static const common_regex analysis_regex("<\\|channel\\|>analysis");
-    static const common_regex final_regex("<\\|channel\\|>final" + constraint + "?");
-    static const common_regex preamble_regex("<\\|channel\\|>commentary");
-    static const common_regex tool_call1_regex(recipient + "<\\|channel\\|>(analysis|commentary)" + constraint + "?");
-    static const common_regex tool_call2_regex("<\\|channel\\|>(analysis|commentary)" + recipient + constraint + "?");
-
-    auto consume_end = [&](bool include_end = false) {
-        if (auto res = builder.try_find_literal("<|end|>")) {
-            return res->prelude + (include_end ? builder.str(res->groups[0]) : "");
-        }
-        return builder.consume_rest();
-    };
-
-    auto handle_tool_call = [&](const std::string & name) {
-        if (auto args = builder.try_consume_json_with_dumped_args({{}})) {
-            if (builder.syntax().parse_tool_calls) {
-                if (!builder.add_tool_call(name, "", args->value) || args->is_partial) {
-                    throw common_chat_msg_partial_exception("incomplete tool call");
-                }
-            } else if (args->is_partial) {
-                throw common_chat_msg_partial_exception("incomplete tool call");
-            }
-        }
-    };
-
-    auto regex_match = [](const common_regex & regex, const std::string & input) -> std::optional<common_regex_match> {
-        auto match = regex.search(input, 0, true);
-        if (match.type == COMMON_REGEX_MATCH_TYPE_FULL) {
-            return match;
-        }
-        return std::nullopt;
-    };
-
-    do {
-        auto header_start_pos = builder.pos();
-        auto content_start = builder.try_find_literal("<|message|>");
-        if (!content_start) {
-            throw common_chat_msg_partial_exception("incomplete header");
-        }
-
-        auto header = content_start->prelude;
-
-        if (auto match = regex_match(tool_call1_regex, header)) {
-            auto group = match->groups[1];
-            auto name = header.substr(group.begin, group.end - group.begin);
-            handle_tool_call(name);
-            continue;
-        }
-
-        if (auto match = regex_match(tool_call2_regex, header)) {
-            auto group = match->groups[2];
-            auto name = header.substr(group.begin, group.end - group.begin);
-            handle_tool_call(name);
-            continue;
-        }
-
-        if (regex_match(analysis_regex, header)) {
-            builder.move_to(header_start_pos);
-            if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE || builder.syntax().reasoning_in_content) {
-                builder.add_content(consume_end(true));
-            } else {
-                builder.try_parse_reasoning("<|channel|>analysis<|message|>", "<|end|>");
-            }
-            continue;
-        }
-
-        if(regex_match(final_regex, header) || regex_match(preamble_regex, header)) {
-            builder.add_content(consume_end());
-            continue;
-        }
-
-        // Possibly a malformed message, attempt to recover by rolling
-        // back to pick up the next <|start|>
-        LOG_DBG("%s: unknown header from message: %s\n", __func__, header.c_str());
-        builder.move_to(header_start_pos);
-    } while (builder.try_find_regex(start_regex, std::string::npos, false));
-
-    auto remaining = builder.consume_rest();
-    if (!remaining.empty()) {
-        LOG_DBG("%s: content after last message: %s\n", __func__, remaining.c_str());
-    }
-}
-
-static void common_chat_parse_glm_4_5(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form {
-        /* form.scope_start  = */ "",
-        /* form.tool_start   = */ "<tool_call>",
-        /* form.tool_sep     = */ "",
-        /* form.key_start    = */ "<arg_key>",
-        /* form.key_val_sep  = */ "</arg_key>",
-        /* form.val_end      = */ "</arg_value>",
-        /* form.tool_end     = */ "</tool_call>",
-        /* form.scope_end    = */ "",
-        /* form.key_val_sep2 = */ "<arg_value>",
-    };
-    builder.consume_reasoning_with_xml_tool_calls(form, "<think>", "</think>");
-}
-
-static void common_chat_parse_firefunction_v2(common_chat_msg_parser & builder) {
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-    static const common_regex prefix(regex_escape(" functools["));
-    parse_prefixed_json_tool_call_array(builder, prefix, /* rstrip_prefix= */ 1);
-}
-
-static void common_chat_parse_functionary_v3_2(common_chat_msg_parser & builder) {
-    static const common_regex function_regex_start_only(R"((\w+\n\{|python\n|all\n))");
-    static const common_regex function_regex(R"(>>>(\w+\n\{|python\n|all\n))");
-    static const common_regex close_regex(R"(\s*)");
-
-    parse_json_tool_calls(
-        builder,
-        std::nullopt,
-        function_regex_start_only,
-        function_regex,
-        close_regex,
-        std::nullopt,
-        /* allow_raw_python= */ true,
-        /* get_function_name= */ [&](const auto & res) -> std::string {
-            auto at_start = res.groups[0].begin == 0;
-            auto name = builder.str(res.groups[1]);
-            if (!name.empty() && name.back() == '{') {
-                // Unconsume the opening brace '{' to ensure the JSON parsing goes well.
-                builder.move_back(1);
-            }
-            auto idx = name.find_last_not_of("\n{");
-            name = name.substr(0, idx + 1);
-            if (at_start && name == "all") {
-                return "";
-            }
-            return name;
-        });
-}
-
-static void common_chat_parse_functionary_v3_1_llama_3_1(common_chat_msg_parser & builder) {
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-    // This version of Functionary still supports the llama 3.1 tool call format for the python tool.
-    static const common_regex python_tag_regex(regex_escape("<|python_tag|>"));
-
-    static const common_regex function_regex(R"(<function=(\w+)>)");
-    static const common_regex close_regex(R"(</function>)");
-
-    parse_json_tool_calls(
-        builder,
-        /* block_open= */ std::nullopt,
-        /* function_regex_start_only= */ std::nullopt,
-        function_regex,
-        close_regex,
-        std::nullopt);
-
-    if (auto res = builder.try_find_regex(python_tag_regex)) {
-        auto arguments = wrap_code_as_arguments(builder, builder.consume_rest());
-        builder.add_tool_call("python", "", arguments);
-        return;
-    }
-}
-
-static void common_chat_parse_hermes_2_pro(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("<think>", "</think>");
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    static const common_regex open_regex(
-        "(?:"
-            "(```(?:xml|json)?\\n\\s*)?" // match 1 (block_start)
-            "("                          // match 2 (open_tag)
-                "<tool_call>"
-                "|<function_call>"
-                "|<tool>"
-                "|<tools>"
-                "|<response>"
-                "|<json>"
-                "|<xml>"
-                "|<JSON>"
-            ")?"
-            "(\\s*\\{\\s*\"name\")" // match 3 (named tool call)
-        ")"
-        "|<function=([^>]+)>"            // match 4 (function name)
-        "|<function name=\"([^\"]+)\">"  // match 5 (function name again)
-    );
-
-    while (auto res = builder.try_find_regex(open_regex)) {
-        const auto & block_start = res->groups[1];
-        std::string block_end = block_start.empty() ? "" : "```";
-
-        const auto & open_tag = res->groups[2];
-        std::string close_tag;
-
-        if (!res->groups[3].empty()) {
-            builder.move_to(res->groups[3].begin);
-            close_tag = open_tag.empty() ? "" : "</" + builder.str(open_tag).substr(1);
-
-            if (auto tool_call = builder.try_consume_json_with_dumped_args({{"arguments"}})) {
-                if (!builder.add_tool_call(tool_call->value) || tool_call->is_partial) {
-                    throw common_chat_msg_partial_exception("incomplete tool call");
-                }
-                builder.consume_spaces();
-                builder.consume_literal(close_tag);
-                builder.consume_spaces();
-                if (!block_end.empty()) {
-                    builder.consume_literal(block_end);
-                    builder.consume_spaces();
-                }
-            } else {
-                throw common_chat_msg_partial_exception("failed to parse tool call");
-            }
-        } else {
-            auto function_name = builder.str(res->groups[4]);
-            if (function_name.empty()) {
-                function_name = builder.str(res->groups[5]);
-            }
-            GGML_ASSERT(!function_name.empty());
-
-            close_tag = "</function>";
-
-            if (auto arguments = builder.try_consume_json_with_dumped_args({{}})) {
-                if (!builder.add_tool_call(function_name, "", arguments->value) || arguments->is_partial) {
-                    throw common_chat_msg_partial_exception("incomplete tool call");
-                }
-                builder.consume_spaces();
-                builder.consume_literal(close_tag);
-                builder.consume_spaces();
-                if (!block_end.empty()) {
-                    builder.consume_literal(block_end);
-                    builder.consume_spaces();
-                }
-            }
-        }
-    }
-
-    builder.add_content(builder.consume_rest());
-}
-
-static void common_chat_parse_granite(common_chat_msg_parser & builder) {
-    // Parse thinking tags
-    static const common_regex start_think_regex(regex_escape("<think>"));
-    static const common_regex end_think_regex(regex_escape("</think>"));
-    // Granite models output partial tokens such as "<" and "<think".
-    // By leveraging try_consume_regex()/try_find_regex() throwing
-    // common_chat_msg_partial_exception for these partial tokens,
-    // processing is interrupted and the tokens are not passed to add_content().
-    if (auto res = builder.try_consume_regex(start_think_regex)) {
-        // Restore position for try_parse_reasoning()
-        builder.move_to(res->groups[0].begin);
-        builder.try_find_regex(end_think_regex, std::string::npos, false);
-        // Restore position for try_parse_reasoning()
-        builder.move_to(res->groups[0].begin);
-    }
-    builder.try_parse_reasoning("<think>", "</think>");
-
-    // Parse response tags
-    static const common_regex start_response_regex(regex_escape("<response>"));
-    static const common_regex end_response_regex(regex_escape("</response>"));
-    // Granite models output partial tokens such as "<" and "<response".
-    // Same hack as reasoning parsing.
-    if (builder.try_consume_regex(start_response_regex)) {
-        builder.try_find_regex(end_response_regex);
-    }
-
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    // Look for tool calls
-    static const common_regex tool_call_regex(regex_escape("<|tool_call|>"));
-    if (auto res = builder.try_find_regex(tool_call_regex)) {
-        builder.move_to(res->groups[0].end);
-
-        // Expect JSON array of tool calls
-        if (auto tool_call = builder.try_consume_json_with_dumped_args({{{"arguments"}}})) {
-            if (!builder.add_tool_calls(tool_call->value) || tool_call->is_partial) {
-                throw common_chat_msg_partial_exception("incomplete tool call");
-            }
-        }
-    } else {
-        builder.add_content(builder.consume_rest());
-    }
-}
-
-static void common_chat_parse_nemotron_v2(common_chat_msg_parser & builder) {
-    // Parse thinking tags
-    builder.try_parse_reasoning("<think>", "</think>");
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    // Look for tool calls
-    static const common_regex tool_call_regex(regex_escape("<TOOLCALL>"));
-    if (auto res = builder.try_find_regex(tool_call_regex)) {
-        builder.move_to(res->groups[0].end);
-
-        // Expect JSON array of tool calls
-        auto tool_calls_data = builder.consume_json();
-        if (tool_calls_data.json.is_array()) {
-            if (!builder.try_consume_literal("</TOOLCALL>")) {
-                throw common_chat_msg_partial_exception("Incomplete tool call");
-            }
-            builder.add_tool_calls(tool_calls_data.json);
-        } else {
-            throw common_chat_msg_partial_exception("Incomplete tool call");
-        }
-    }
-    builder.add_content(builder.consume_rest());
-}
-
-static void common_chat_parse_apertus(common_chat_msg_parser & builder) {
-    // Parse thinking tags
-    builder.try_parse_reasoning("<|inner_prefix|>", "<|inner_suffix|>");
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    // Look for tool calls
-    static const common_regex tool_call_regex(regex_escape("<|tools_prefix|>"));
-    if (auto res = builder.try_find_regex(tool_call_regex)) {
-        builder.move_to(res->groups[0].end);
-
-        auto tool_calls_data = builder.consume_json();
-        if (tool_calls_data.json.is_array()) {
-            builder.consume_spaces();
-            if (!builder.try_consume_literal("<|tools_suffix|>")) {
-                throw common_chat_msg_partial_exception("Incomplete tool call");
-            }
-            for (const auto & value : tool_calls_data.json) {
-                if (value.is_object()) {
-                    builder.add_tool_call_short_form(value);
-                }
-            }
-        } else {
-            throw common_chat_msg_partial_exception("Incomplete tool call");
-        }
-    }
-    builder.add_content(builder.consume_rest());
-}
-
-
-static void common_chat_parse_lfm2(common_chat_msg_parser & builder) {
-    if (!builder.syntax().parse_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    // LFM2 format: <|tool_call_start|>[{"name": "get_current_time", "arguments": {"location": "Paris"}}]<|tool_call_end|>
-    static const common_regex tool_call_start_regex(regex_escape("<|tool_call_start|>"));
-    static const common_regex tool_call_end_regex(regex_escape("<|tool_call_end|>"));
-
-    // Loop through all tool calls
-    while (auto res = builder.try_find_regex(tool_call_start_regex, std::string::npos, /* add_prelude_to_content= */ true)) {
-        builder.move_to(res->groups[0].end);
-
-        // Parse JSON array format: [{"name": "...", "arguments": {...}}]
-        auto tool_calls_data = builder.consume_json();
-
-        // Consume end marker
-        builder.consume_spaces();
-        if (!builder.try_consume_regex(tool_call_end_regex)) {
-            throw common_chat_msg_partial_exception("Expected <|tool_call_end|>");
-        }
-
-        // Process each tool call in the array
-        if (tool_calls_data.json.is_array()) {
-            for (const auto & tool_call : tool_calls_data.json) {
-                if (!tool_call.is_object()) {
-                    throw common_chat_msg_partial_exception("Tool call must be an object");
-                }
-
-                if (!tool_call.contains("name")) {
-                    throw common_chat_msg_partial_exception("Tool call missing 'name' field");
-                }
-
-                std::string function_name = tool_call.at("name");
-                std::string arguments = "{}";
-
-                if (tool_call.contains("arguments")) {
-                    if (tool_call.at("arguments").is_object()) {
-                        arguments = tool_call.at("arguments").dump();
-                    } else if (tool_call.at("arguments").is_string()) {
-                        arguments = tool_call.at("arguments");
-                    }
-                }
-
-                if (!builder.add_tool_call(function_name, "", arguments)) {
-                    throw common_chat_msg_partial_exception("Incomplete tool call");
-                }
-            }
-        } else {
-            throw common_chat_msg_partial_exception("Expected JSON array for tool calls");
-        }
-
-        // Consume any trailing whitespace after this tool call
-        builder.consume_spaces();
-    }
-
-    // Consume any remaining content after all tool calls
-    auto remaining = builder.consume_rest();
-    if (!string_strip(remaining).empty()) {
-        builder.add_content(remaining);
-    }
-}
-
-static void common_chat_parse_seed_oss(common_chat_msg_parser & builder) {
-    static const xml_tool_call_format form {
-        /* form.scope_start = */ "<seed:tool_call>",
-        /* form.tool_start  = */ "<function=",
-        /* form.tool_sep    = */ ">",
-        /* form.key_start   = */ "<parameter=",
-        /* form.key_val_sep = */ ">",
-        /* form.val_end     = */ "</parameter>",
-        /* form.tool_end    = */ "</function>",
-        /* form.scope_end   = */ "</seed:tool_call>",
-    };
-    builder.consume_reasoning_with_xml_tool_calls(form, "<seed:think>", "</seed:think>");
-}
-
-static void common_chat_parse_solar_open(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("<|think|>", "<|end|><|begin|>assistant<|content|>");
-
-    // TODO: Tool calling
-
-    builder.add_content(builder.consume_rest());
-}
-
-static void common_chat_parse_exaone_moe_content(common_chat_msg_parser & builder) {
-    // 1) <tool_call>{ "name": "...", "arguments": {...} }</tool_call>
-    // 2) <tool_call>{ "id": "...", "type": "function", "function": { "name": "...", "arguments": {...} } }</tool_call>
-    static const common_regex tool_call_open(R"(<tool_call[^>]*>)");
-
-    if (!builder.syntax().parse_tool_calls) {
-        LOG_DBG("%s: not parse_tool_calls\n", __func__);
-        builder.add_content(builder.consume_rest());
-        return;
-    }
-
-    LOG_DBG("%s: parse_tool_calls\n", __func__);
-
-    // Find all <tool_call></tool_call> blocks
-    while (auto first = builder.try_find_regex(tool_call_open, std::string::npos, /* add_prelude_to_content= */ true)) {
-        builder.move_to(first->groups[0].end);
-        builder.consume_spaces();
-
-        builder.try_consume_literal("```json");
-        builder.try_consume_literal("```");
-        builder.consume_spaces();
-
-        // Consume JSON object
-        auto data = builder.consume_json();
-
-        builder.consume_spaces();
-        builder.try_consume_literal("```");
-        builder.consume_spaces();
-
-        if (!builder.try_consume_literal("</tool_call>")) {
-            throw common_chat_msg_partial_exception("incomplete tool call");
-        }
-        builder.consume_spaces();
-
-        // Extract name and arguments
-        std::string name;
-        std::string id;
-        nlohmann::ordered_json arguments;
-
-        const auto extract_args = [&](const nlohmann::ordered_json & obj) -> bool {
-            if (!obj.contains("name") || !obj.contains("arguments")) {
-                return false;
-            }
-            name = obj.at("name").get<std::string>();
-            arguments = obj.at("arguments");
-            if (obj.contains("id") && obj.at("id").is_string()) {
-                id = obj.at("id").get<std::string>();
-            }
-            return true;
-        };
-
-        if (!extract_args(data.json)) {
-            if (data.json.contains("function") && data.json.at("function").is_object()) {
-                auto fn = data.json.at("function");
-                extract_args(fn);
-                if (id.empty() && data.json.contains("id") && data.json.at("id").is_string()) {
-                    id = data.json.at("id").get<std::string>();
-                }
-            }
-        }
-
-        // If name is empty, treat the JSON object as content
-        if (name.empty()) {
-            LOG_DBG("%s: tool call missing name, treating as content\n", __func__);
-            builder.add_content(data.json.dump());
-            continue;
-        }
-
-        std::string args_str = arguments.dump();
-        if (!builder.add_tool_call(name, id, args_str)) {
-            throw common_chat_msg_partial_exception("incomplete tool call");
-        }
-    }
-
-    builder.add_content(builder.consume_rest());
-}
-
-static void common_chat_parse_exaone_moe(common_chat_msg_parser & builder) {
-    LOG_DBG("%s: parsing exaone_moe\n", __func__);
-    // EXAONE MoE outputs reasoning content between "<think>" and "</think>" tags, followed by regular content
-    // First try to parse using the standard reasoning parsing method
-    LOG_DBG("%s: thinking_forced_open: %s\n", __func__, std::to_string(builder.syntax().thinking_forced_open).c_str());
-
-    auto start_pos = builder.pos();
-    auto found_end_think = builder.try_find_literal("</think>");
-    builder.move_to(start_pos);
-
-    if (builder.syntax().thinking_forced_open && !builder.is_partial() && !found_end_think) {
-        LOG_DBG("%s: no end_think, not partial, adding content\n", __func__);
-        common_chat_parse_exaone_moe_content(builder);
-    } else if (builder.try_parse_reasoning("<think>", "</think>")) {
-        // If reasoning was parsed successfully, the remaining content is regular content
-        LOG_DBG("%s: parsed reasoning, adding content\n", __func__);
-        common_chat_parse_exaone_moe_content(builder);
-    } else {
-        if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE) {
-          LOG_DBG("%s: reasoning_format none, adding content\n", __func__);
-          common_chat_parse_exaone_moe_content(builder);
-          return;
-        }
-        // If no reasoning tags found, check if we should treat everything as reasoning
-        if (builder.syntax().thinking_forced_open) {
-            // If thinking is forced open but no tags found, treat everything as reasoning
-            LOG_DBG("%s: thinking_forced_open, adding reasoning content\n", __func__);
-            builder.add_reasoning_content(builder.consume_rest());
-        } else {
-            LOG_DBG("%s: no thinking_forced_open, adding content\n", __func__);
-            common_chat_parse_exaone_moe_content(builder);
-        }
-    }
-}
-
-static void common_chat_parse_content_only(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("<think>", "</think>");
-    builder.add_content(builder.consume_rest());
-}
-
-static void common_chat_parse(common_chat_msg_parser & builder) {
-    LOG_DBG("Parsing input with format %s: %s\n", common_chat_format_name(builder.syntax().format), builder.input().c_str());
-
-    switch (builder.syntax().format) {
-        case COMMON_CHAT_FORMAT_CONTENT_ONLY:
-            common_chat_parse_content_only(builder);
-            break;
-        case COMMON_CHAT_FORMAT_GENERIC:
-            common_chat_parse_generic(builder);
-            break;
-        case COMMON_CHAT_FORMAT_MISTRAL_NEMO:
-            common_chat_parse_mistral_nemo(builder);
-            break;
-        case COMMON_CHAT_FORMAT_MAGISTRAL:
-            common_chat_parse_magistral(builder);
-            break;
-        case COMMON_CHAT_FORMAT_LLAMA_3_X:
-            common_chat_parse_llama_3_1(builder);
-            break;
-        case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS:
-            common_chat_parse_llama_3_1(builder, /* with_builtin_tools= */ true);
-            break;
-        case COMMON_CHAT_FORMAT_DEEPSEEK_R1:
-            common_chat_parse_deepseek_r1(builder);
-            break;
-        case COMMON_CHAT_FORMAT_DEEPSEEK_V3_1:
-            common_chat_parse_deepseek_v3_1(builder);
-            break;
-        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2:
-            common_chat_parse_functionary_v3_2(builder);
-            break;
-        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1:
-            common_chat_parse_functionary_v3_1_llama_3_1(builder);
-            break;
-        case COMMON_CHAT_FORMAT_HERMES_2_PRO:
-            common_chat_parse_hermes_2_pro(builder);
-            break;
-        case COMMON_CHAT_FORMAT_FIREFUNCTION_V2:
-            common_chat_parse_firefunction_v2(builder);
-            break;
-        case COMMON_CHAT_FORMAT_COMMAND_R7B:
-            common_chat_parse_command_r7b(builder);
-            break;
-        case COMMON_CHAT_FORMAT_GRANITE:
-            common_chat_parse_granite(builder);
-            break;
-        case COMMON_CHAT_FORMAT_GPT_OSS:
-            common_chat_parse_gpt_oss(builder);
-            break;
-        case COMMON_CHAT_FORMAT_SEED_OSS:
-            common_chat_parse_seed_oss(builder);
-            break;
-        case COMMON_CHAT_FORMAT_NEMOTRON_V2:
-            common_chat_parse_nemotron_v2(builder);
-            break;
-        case COMMON_CHAT_FORMAT_APERTUS:
-            common_chat_parse_apertus(builder);
-            break;
-        case COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS:
-            common_chat_parse_lfm2(builder);
-            break;
-        case COMMON_CHAT_FORMAT_MINIMAX_M2:
-            common_chat_parse_minimax_m2(builder);
-            break;
-        case COMMON_CHAT_FORMAT_GLM_4_5:
-            common_chat_parse_glm_4_5(builder);
-            break;
-        case COMMON_CHAT_FORMAT_KIMI_K2:
-            common_chat_parse_kimi_k2(builder);
-            break;
-        case COMMON_CHAT_FORMAT_QWEN3_CODER_XML:
-            common_chat_parse_qwen3_coder_xml(builder);
-            break;
-        case COMMON_CHAT_FORMAT_APRIEL_1_5:
-            common_chat_parse_apriel_1_5(builder);
-            break;
-        case COMMON_CHAT_FORMAT_XIAOMI_MIMO:
-            common_chat_parse_xiaomi_mimo(builder);
-            break;
-        case COMMON_CHAT_FORMAT_SOLAR_OPEN:
-            common_chat_parse_solar_open(builder);
-            break;
-        case COMMON_CHAT_FORMAT_EXAONE_MOE:
-            common_chat_parse_exaone_moe(builder);
-            break;
-        default:
-            throw std::runtime_error(std::string("Unsupported format: ") + common_chat_format_name(builder.syntax().format));
-    }
-    builder.finish();
-}
-
-common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & syntax) {
-    if (syntax.format == COMMON_CHAT_FORMAT_PEG_SIMPLE ||
-        syntax.format == COMMON_CHAT_FORMAT_PEG_NATIVE ||
-        syntax.format == COMMON_CHAT_FORMAT_PEG_CONSTRUCTED) {
-        return common_chat_peg_parse(syntax.parser, input, is_partial, syntax);
-    }
-    common_chat_msg_parser builder(input, is_partial, syntax);
-    try {
-        common_chat_parse(builder);
-    } catch (const common_chat_msg_partial_exception & ex) {
-        LOG_DBG("Partial parse: %s\n", ex.what());
-        if (!is_partial) {
-            builder.clear_tools();
-            builder.move_to(0);
-            common_chat_parse_content_only(builder);
-        }
-    }
-    auto msg = builder.result();
-    if (!is_partial) {
-        LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({msg}).at(0).dump().c_str());
-    }
-    return msg;
-}
-
-common_chat_msg common_chat_peg_parse(const common_peg_arena & parser, const std::string & input, bool is_partial, const common_chat_parser_params & syntax) {
-    if (parser.empty()) {
-        throw std::runtime_error("Failed to parse due to missing parser definition.");
-    }
-
-    LOG_DBG("Parsing input with format %s: %s\n", common_chat_format_name(syntax.format), input.c_str());
-
-    common_peg_parse_context ctx(input, is_partial);
-    auto result = parser.parse(ctx);
-    if (result.fail()) {
-        throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end));
-    }
-
-    common_chat_msg msg;
-    msg.role = "assistant";
-
-    if (syntax.format == COMMON_CHAT_FORMAT_PEG_NATIVE) {
-        auto mapper = common_chat_peg_native_mapper(msg);
-        mapper.from_ast(ctx.ast, result);
-    } else if (syntax.format == COMMON_CHAT_FORMAT_PEG_CONSTRUCTED) {
-        auto mapper = common_chat_peg_constructed_mapper(msg);
-        mapper.from_ast(ctx.ast, result);
-    } else {
-        // Generic mapper
-        auto mapper = common_chat_peg_mapper(msg);
-        mapper.from_ast(ctx.ast, result);
-    }
-    if (!is_partial) {
-        LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({msg}).at(0).dump().c_str());
-    }
-    return msg;
-}
diff --git a/common/chat-parser.h b/common/chat-parser.h
deleted file mode 100644
index 3ed9c30a2b3..00000000000
--- a/common/chat-parser.h
+++ /dev/null
@@ -1,133 +0,0 @@
-#pragma once
-
-#include "chat.h"
-#include "chat-parser-xml-toolcall.h"
-#include "json-partial.h"
-#include "regex-partial.h"
-
-#include <nlohmann/json_fwd.hpp>
-
-#include <optional>
-#include <string>
-#include <vector>
-
-class common_chat_msg_partial_exception : public std::runtime_error {
-  public:
-    common_chat_msg_partial_exception(const std::string & message) : std::runtime_error(message) {}
-};
-
-class common_chat_msg_parser {
-    std::string input_;
-    bool is_partial_;
-    common_chat_parser_params syntax_; // TODO: rename to params
-    std::string healing_marker_;
-
-    size_t pos_ = 0;
-    common_chat_msg result_;
-
-  public:
-    common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_parser_params & syntax);
-    const std::string & input() const { return input_; }
-    size_t pos() const { return pos_; }
-    const std::string & healing_marker() const { return healing_marker_; }
-    const bool & is_partial() const { return is_partial_; }
-    const common_chat_msg & result() const { return result_; }
-    const common_chat_parser_params & syntax() const { return syntax_; }
-
-    void move_to(size_t pos) {
-        if (pos > input_.size()) {
-            throw std::runtime_error("Invalid position!");
-        }
-        pos_ = pos;
-    }
-    void move_back(size_t n) {
-        if (pos_ < n) {
-            throw std::runtime_error("Can't move back that far!");
-        }
-        pos_ -= n;
-    }
-
-    // Get the substring of the input at the given range
-    std::string str(const common_string_range & rng) const;
-
-    // Appends to the result.content field
-    void add_content(const std::string & content);
-
-    // Appends to the result.reasoning_content field
-    void add_reasoning_content(const std::string & reasoning_content);
-
-    // Adds a tool call to the result. If the tool call is too incomplete (e.g. name empty), it won't add anything.
-    bool add_tool_call(const std::string & name, const std::string & id, const std::string & arguments);
-
-    // Adds a tool call using the "name", "id" and "arguments" fields of the json object
-    bool add_tool_call(const nlohmann::ordered_json & tool_call);
-
-    // Adds an array of tool calls using their "name", "id" and "arguments" fields.
-    bool add_tool_calls(const nlohmann::ordered_json & arr);
-
-    // Adds a tool call using the short form: { "tool_name": { "arg1": val, "arg2": val } }
-    bool add_tool_call_short_form(const nlohmann::ordered_json & tool_call);
-
-    void finish();
-
-    bool consume_spaces();
-
-    void consume_literal(const std::string & literal);
-
-    bool try_parse_reasoning(const std::string & start_think, const std::string & end_think);
-
-    std::string consume_rest();
-
-    struct find_regex_result {
-        std::string prelude;
-        std::vector<common_string_range> groups;
-    };
-
-    std::optional<find_regex_result> try_find_regex(const common_regex & regex, size_t from = std::string::npos, bool add_prelude_to_content = true);
-
-    bool try_consume_literal(const std::string & literal);
-
-    std::optional<find_regex_result> try_find_literal(const std::string & literal);
-
-    find_regex_result consume_regex(const common_regex & regex);
-
-    std::optional<find_regex_result> try_consume_regex(const common_regex & regex);
-
-    std::optional<common_json> try_consume_json();
-    common_json consume_json();
-
-    struct consume_json_result {
-        nlohmann::ordered_json value;
-        bool is_partial;
-    };
-
-    /*
-        Consume (possibly partial) json and converts specific subtrees to (possibly truncated) JSON strings.
-
-        By default, object keys can't be truncated, nor can string values (their corresponding key is removed,
-        e.g. `{"foo": "bar", "baz": "b` -> `{"foo": "bar"}`
-
-        But one can allow subpaths to be kept truncated, and possibly json-dumped to truncated json strings
-        - with `content_paths={{"foo"}}` -> `{"foo": "b` -> {"foo": "b"}`
-        - with `args_paths={{"foo"}}` -> `{"foo": {"b` -> `{"foo": "{b"}`
-    */
-    consume_json_result consume_json_with_dumped_args(
-        const std::vector<std::vector<std::string>> & args_paths = {},
-        const std::vector<std::vector<std::string>> & content_paths = {}
-    );
-    std::optional<consume_json_result> try_consume_json_with_dumped_args(
-        const std::vector<std::vector<std::string>> & args_paths = {},
-        const std::vector<std::vector<std::string>> & content_paths = {}
-    );
-
-    /**
-     * Parse XML-Style tool call for given xml_tool_call_format. Return false for invalid syntax and get the position untouched.
-     * form.scope_start, form.tool_sep and form.scope_end can be empty.
-     */
-    bool try_consume_xml_tool_calls(const struct xml_tool_call_format & form);
-
-    // Parse content uses reasoning and XML-Style tool call
-    void consume_reasoning_with_xml_tool_calls(const struct xml_tool_call_format & form, const std::string & start_think = "<think>", const std::string & end_think = "</think>");
-
-    void clear_tools();
-};
diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp
index 1bcba9cd866..4c5bb6218dc 100644
--- a/common/chat-peg-parser.cpp
+++ b/common/chat-peg-parser.cpp
@@ -1,13 +1,17 @@
 #include "chat-peg-parser.h"
 
+#include "chat-auto-parser.h"
+#include "ggml.h"
+#include "peg-parser.h"
+
 #include <nlohmann/json.hpp>
 
-using json = nlohmann::json;
+using ordered_json = nlohmann::ordered_json;
 
 static std::string_view trim_trailing_space(std::string_view sv, int max = -1) {
     int count = 0;
     while (!sv.empty() && std::isspace(static_cast<unsigned char>(sv.back()))) {
-        if (max != -1 && count <= max) {
+        if (max != -1 && count >= max) {
             break;
         }
         sv.remove_suffix(1);
@@ -16,109 +20,820 @@ static std::string_view trim_trailing_space(std::string_view sv, int max = -1) {
     return sv;
 }
 
-void common_chat_peg_mapper::from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result) {
+static std::string_view trim_leading_space(std::string_view sv, int max = -1) {
+    int count = 0;
+    while (!sv.empty() && std::isspace(static_cast<unsigned char>(sv.front()))) {
+        if (max != -1 && count >= max) {
+            break;
+        }
+        sv.remove_prefix(1);
+        count++;
+    }
+    return sv;
+}
+
+static std::string_view trim(std::string_view sv) {
+    return trim_trailing_space(trim_leading_space(sv, 1));
+}
+
+// Count the number of unclosed '{' braces in a JSON-like string,
+// properly skipping braces inside quoted strings.
+static int json_brace_depth(const std::string & s) {
+    int  depth     = 0;
+    bool in_string = false;
+    bool escaped   = false;
+    for (char c : s) {
+        if (escaped) {
+            escaped = false;
+            continue;
+        }
+        if (c == '\\' && in_string) {
+            escaped = true;
+            continue;
+        }
+        if (c == '"') {
+            in_string = !in_string;
+            continue;
+        }
+        if (!in_string) {
+            if (c == '{') {
+                depth++;
+            } else if (c == '}') {
+                depth--;
+            }
+        }
+    }
+    return depth;
+}
+
+// JSON-escape a string and return the inner content (without surrounding quotes).
+static std::string escape_json_string_inner(const std::string & s) {
+    std::string escaped = ordered_json(s).dump();
+    if (escaped.size() >= 2 && escaped.front() == '"' && escaped.back() == '"') {
+        return escaped.substr(1, escaped.size() - 2);
+    }
+    return escaped;
+}
+
+// Convert Python-style single-quoted strings to JSON double-quoted strings
+// Only converts outer string delimiters, properly handling escape sequences:
+// - {'key': 'value'} -> {"key": "value"}
+// - {'code': 'print(\'hello\')'} -> {"code": "print('hello')"}
+// - {'msg': 'He said "hi"'} -> {"msg": "He said \"hi\""}
+static std::string normalize_quotes_to_json(const std::string & input) {
+    std::string result;
+    result.reserve(input.size() + 16);  // May need extra space for escaping
+
+    bool in_single_quoted = false;
+    bool in_double_quoted = false;
+
+    for (size_t i = 0; i < input.size(); ++i) {
+        char c = input[i];
+
+        // Handle escape sequences
+        if (c == '\\' && i + 1 < input.size()) {
+            char next = input[i + 1];
+
+            if (in_single_quoted) {
+                // Inside a single-quoted string being converted to double quotes
+                if (next == '\'') {
+                    // \' -> ' (escaped single quote becomes unescaped in double-quoted string)
+                    result += '\'';
+                    ++i;
+                    continue;
+                }
+                if (next == '"') {
+                    // \" stays as \" (already escaped, works in double-quoted string)
+                    result += "\\\"";
+                    ++i;
+                    continue;
+                }
+                // Other escapes (\n, \\, etc.): pass through both characters
+                result += c;
+                result += next;
+                ++i;
+                continue;
+            }
+
+            if (in_double_quoted) {
+                // Inside a double-quoted string - pass through escape sequences as-is
+                result += c;
+                result += next;
+                ++i;
+                continue;
+            }
+
+            // Outside any string - just pass through the backslash
+            result += c;
+            continue;
+        }
+
+        // Handle quote characters
+        if (c == '"') {
+            if (in_single_quoted) {
+                // Unescaped double quote inside single-quoted string -> must escape for JSON
+                result += "\\\"";
+            } else {
+                // Double quote as string delimiter or outside strings
+                in_double_quoted = !in_double_quoted;
+                result += c;
+            }
+        } else if (c == '\'') {
+            if (in_double_quoted) {
+                // Single quote inside double-quoted string -> pass through
+                result += c;
+            } else if (in_single_quoted) {
+                // Closing single quote -> convert to double quote
+                in_single_quoted = false;
+                result += '"';
+            } else {
+                // Opening single quote -> convert to double quote
+                in_single_quoted = true;
+                result += '"';
+            }
+        } else {
+            result += c;
+        }
+    }
+
+    return result;
+}
+
+void tag_based_peg_mapper::from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result) {
     arena.visit(result, [this](const common_peg_ast_node & node) {
-        map(node);
+        if (!node.tag.empty()) {
+            tags[node.tag] = std::string(node.text);
+        }
     });
 }
 
+tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & input, common_peg_parse_flags extra_flags) const {
+    common_peg_parse_context ctx(input, flags | extra_flags);
+    auto parse_result = arena.parse(ctx);
+
+    tag_based_peg_mapper mapper;
+    mapper.from_ast(ctx.ast, parse_result);
+
+    return { std::move(parse_result), std::move(mapper.tags) };
+}
+
+tagged_parse_result tagged_peg_parser::parse_anywhere_and_extract(const std::string & input) const {
+    if (input.empty()) {
+        return parse_and_extract(input);
+    }
+    for (size_t i = 0; i < input.size(); i++) {
+        common_peg_parse_context ctx(input, flags);
+        auto parse_result = arena.parse(ctx, i);
+        if (parse_result.success() || i == input.size() - 1) {
+            tag_based_peg_mapper mapper;
+            mapper.from_ast(ctx.ast, parse_result);
+            return { std::move(parse_result), std::move(mapper.tags) };
+        }
+    }
+    GGML_ABORT("Should not happen");
+}
+
+tagged_peg_parser build_tagged_peg_parser(
+    const std::function<common_peg_parser(common_peg_parser_builder & builder)> & fn) {
+    common_peg_parser_builder builder;
+    builder.set_root(fn(builder));
+    return { builder.build() };
+}
+
+common_peg_parser common_chat_peg_builder::tag_with_safe_content(const std::string &       tag_name,
+                                                                 const std::string &       marker,
+                                                                 const common_peg_parser & p) {
+    if (marker.empty()) {
+        return zero_or_more(choice({ p, rule(tag_name, content(any())) }));
+    }
+    auto content_chunk = rule(tag_name, content(negate(literal(marker)) + any() + until(marker)));
+    return zero_or_more(choice({ p, content_chunk }));
+}
+
+std::string & common_chat_peg_mapper::args_target() {
+    return (current_tool && !current_tool->name.empty()) ? current_tool->arguments : args_buffer;
+}
+
+void common_chat_peg_mapper::from_ast(const common_peg_ast_arena &    arena,
+                                      const common_peg_parse_result & parse_result_arg) {
+    arena.visit(parse_result_arg, [this](const common_peg_ast_node & node) { map(node); });
+    // Flush any pending tool call that was started but never got a name
+    // This happens during partial parsing when the tool call is incomplete
+    if (pending_tool_call.has_value() && !pending_tool_call->name.empty()) {
+        if (!args_buffer.empty()) {
+            pending_tool_call->arguments = args_buffer;
+        }
+        if (closing_quote_pending && !pending_tool_call->arguments.empty()) {
+            pending_tool_call->arguments += "\"";
+        }
+        result.tool_calls.push_back(pending_tool_call.value());
+        pending_tool_call.reset();
+    }
+}
+
 void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
+    // Handle reasoning/content tags
     bool is_reasoning = node.tag == common_chat_peg_builder::REASONING;
-    bool is_content = node.tag == common_chat_peg_builder::CONTENT;
+    bool is_content   = node.tag == common_chat_peg_builder::CONTENT;
 
-    if (is_reasoning) {
-        result.reasoning_content = std::string(trim_trailing_space(node.text));
+    if (is_reasoning) { // GPT OSS can have more than 1 reasoning block, so concatenate here
+        result.reasoning_content += std::string(node.text);
     }
 
     if (is_content) {
-        result.content = std::string(trim_trailing_space(node.text));
+        // Concatenate content from multiple content nodes (e.g., when reasoning markers
+        // are preserved before content markers in reasoning_format=NONE mode)
+        result.content += std::string(node.text);
     }
-}
-
-void common_chat_peg_native_mapper::map(const common_peg_ast_node & node) {
-    common_chat_peg_mapper::map(node);
 
-    bool is_tool_open = node.tag == common_chat_peg_native_builder::TOOL_OPEN;
-    bool is_tool_name = node.tag == common_chat_peg_native_builder::TOOL_NAME;
-    bool is_tool_id = node.tag == common_chat_peg_native_builder::TOOL_ID;
-    bool is_tool_args = node.tag == common_chat_peg_native_builder::TOOL_ARGS;
+    // Handle tool-related tags (supporting both JSON and tagged formats)
+    bool is_tool_open  = node.tag == common_chat_peg_builder::TOOL_OPEN;
+    bool is_tool_close = node.tag == common_chat_peg_builder::TOOL_CLOSE;
+    bool is_tool_name  = node.tag == common_chat_peg_builder::TOOL_NAME;
+    bool is_tool_id    = node.tag == common_chat_peg_builder::TOOL_ID;
+    bool is_tool_args  = node.tag == common_chat_peg_builder::TOOL_ARGS;
+    bool is_arg_open   = node.tag == common_chat_peg_builder::TOOL_ARG_OPEN;
+    bool is_arg_close  = node.tag == common_chat_peg_builder::TOOL_ARG_CLOSE;
+    bool is_arg_name         = node.tag == common_chat_peg_builder::TOOL_ARG_NAME;
+    bool is_arg_value        = node.tag == common_chat_peg_builder::TOOL_ARG_VALUE;
+    bool is_arg_string_value = node.tag == common_chat_peg_builder::TOOL_ARG_STRING_VALUE;
 
     if (is_tool_open) {
-        result.tool_calls.emplace_back();
-        current_tool = &result.tool_calls.back();
+        pending_tool_call     = common_chat_tool_call();
+        current_tool          = &pending_tool_call.value();
+        arg_count             = 0;
+        args_buffer.clear();
+        closing_quote_pending = false;
     }
 
     if (is_tool_id && current_tool) {
-        current_tool->id = std::string(trim_trailing_space(node.text));
+        auto text = trim_trailing_space(node.text);
+        if (text.size() >= 2 && text.front() == '"' && text.back() == '"') {
+            text = text.substr(1, text.size() - 2);
+        }
+        current_tool->id = std::string(text);
     }
 
     if (is_tool_name && current_tool) {
         current_tool->name = std::string(trim_trailing_space(node.text));
+        // Now that we have the name, populate the arguments from the buffer
+        if (!args_buffer.empty()) {
+            current_tool->arguments = args_buffer;
+            args_buffer.clear();
+        } else if (current_tool->arguments.empty()) {
+            current_tool->arguments = "{";
+        }
+        // Add the tool call to results so streaming can see it
+        if (pending_tool_call.has_value()) {
+            result.tool_calls.push_back(pending_tool_call.value());
+            pending_tool_call.reset();
+            current_tool = &result.tool_calls.back();
+        }
     }
 
     if (is_tool_args && current_tool) {
-        current_tool->arguments = std::string(trim_trailing_space(node.text));
+        // For JSON format: arguments come as a complete JSON object
+        // For tagged format: built up from individual arg_name/arg_value nodes
+        auto text = trim_trailing_space(node.text);
+        if (!text.empty() && text.front() == '{') {
+            args_target() = std::string(text);
+        }
+    }
+
+    if (is_arg_open) {
+        closing_quote_pending = false;
+    }
+
+    if (is_arg_name && current_tool) {
+        std::string arg_entry;
+        if (arg_count > 0) {
+            arg_entry = ",";
+        }
+        arg_entry += ordered_json(trim(node.text)).dump() + ":";
+        ++arg_count;
+
+        auto & target = args_target();
+        if (target.empty()) {
+            target = "{";
+        }
+        target += arg_entry;
+    }
+
+    if ((is_arg_value || is_arg_string_value) && current_tool) {
+        std::string value_content = std::string(trim_trailing_space(trim_leading_space(node.text, 1), 1));
+
+        std::string value_to_add;
+        if (value_content.empty() && is_arg_string_value) {
+            // Empty string value - arg_close will add the closing quote
+            value_to_add          = "\"";
+            closing_quote_pending = true;
+        } else if (!value_content.empty() && is_arg_string_value) {
+            // Schema declares this as string type - always treat as literal string value
+            if (!closing_quote_pending) {
+                value_to_add          = "\"";
+                closing_quote_pending = true;
+            }
+            value_to_add += escape_json_string_inner(value_content);
+        } else if (!value_content.empty()) {
+            // For potential containers, normalize Python-style single quotes to JSON double quotes
+            bool is_potential_container = value_content[0] == '[' || value_content[0] == '{';
+            if (is_potential_container) {
+                value_content = normalize_quotes_to_json(value_content);
+            }
+
+            // Try to parse as JSON value (number, bool, null, object, array)
+            try {
+                ordered_json parsed = ordered_json::parse(value_content);
+                if (parsed.is_string()) {
+                    // Don't add closing quote yet (added by arg_close) for monotonic streaming
+                    std::string escaped = parsed.dump();
+                    if (!escaped.empty() && escaped.back() == '"') {
+                        escaped.pop_back();
+                    }
+                    value_to_add          = escaped;
+                    closing_quote_pending = true;
+                } else {
+                    // Non-string values: use raw content to preserve whitespace for monotonicity
+                    value_to_add = value_content;
+                }
+            } catch (...) {
+                if (node.is_partial && is_potential_container) {
+                    // Partial container: pass through the already-normalized content
+                    value_to_add = value_content;
+                } else {
+                    // Not valid JSON - treat as string value
+                    if (!closing_quote_pending) {
+                        value_to_add          = "\"";
+                        closing_quote_pending = true;
+                    }
+                    value_to_add += escape_json_string_inner(value_content);
+                }
+            }
+        }
+
+        args_target() += value_to_add;
+    }
+
+    if (is_arg_close && current_tool) {
+        if (closing_quote_pending) {
+            args_target() += "\"";
+            closing_quote_pending = false;
+        }
+    }
+
+    if (is_tool_close && current_tool) {
+        // Flush buffer to arguments if tool name was never seen
+        if (current_tool->name.empty() && !args_buffer.empty()) {
+            current_tool->arguments = args_buffer;
+            args_buffer.clear();
+        }
+        // Close any pending string quote
+        if (closing_quote_pending) {
+            current_tool->arguments += "\"";
+            closing_quote_pending = false;
+        }
+        // Close any unclosed braces (accounts for nested objects)
+        for (int d = json_brace_depth(current_tool->arguments); d > 0; d--) {
+            current_tool->arguments += "}";
+        }
+        // Add tool call to results if named; otherwise discard
+        if (pending_tool_call.has_value()) {
+            if (!current_tool->name.empty()) {
+                result.tool_calls.push_back(pending_tool_call.value());
+            }
+            pending_tool_call.reset();
+        }
+    }
+}
+
+common_peg_parser common_chat_peg_builder::standard_constructed_tools(
+    const std::map<std::string, std::string> & markers,
+    const ordered_json &                       tools,
+    bool                                       parallel_tool_calls,
+    bool                                       force_tool_calls) {
+    if (!tools.is_array() || tools.empty()) {
+        return eps();
     }
+
+    // Extract markers with defaults
+    auto get_marker = [&markers](const std::string & key, const std::string & default_val = "") -> std::string {
+        auto it = markers.find(key);
+        return it != markers.end() ? it->second : default_val;
+    };
+
+    std::string section_start    = get_marker("tool_call_start_marker", "<tool_call>");
+    std::string section_end      = get_marker("tool_call_end_marker", "</tool_call>");
+    std::string func_opener      = get_marker("function_opener", "<function=");
+    std::string func_name_suffix = get_marker("function_name_suffix", ">");
+    std::string func_closer      = get_marker("function_closer", "</function>");
+    std::string param_key_prefix = get_marker("parameter_key_prefix", "<param=");
+    std::string param_key_suffix = get_marker("parameter_key_suffix", ">");
+    std::string param_closer     = get_marker("parameter_closer", "</param>");
+
+    // Build tool choices for tagged format
+    auto tool_choices = choice();
+
+    for (const auto & tool_def : tools) {
+        if (!tool_def.contains("function")) {
+            continue;
+        }
+        const auto &   function = tool_def.at("function");
+        std::string    name     = function.at("name");
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
+
+        // Build argument parsers
+        auto args = eps();
+        if (params.contains("properties") && !params["properties"].empty()) {
+            auto arg_choice = choice();
+            for (const auto & el : params["properties"].items()) {
+                const std::string & prop_name = el.key();
+
+                auto arg_name_parser =
+                    choice({ literal(prop_name), literal("\"" + prop_name + "\""), literal("'" + prop_name + "'") });
+
+                auto arg_rule = tool_arg(tool_arg_open(literal(param_key_prefix)) + tool_arg_name(arg_name_parser) +
+                                         literal(param_key_suffix) + tool_arg_value(until(param_closer)) +
+                                         tool_arg_close(literal(param_closer)));
+                arg_choice |= arg_rule;
+            }
+            args = zero_or_more(arg_choice + space());
+        }
+
+        // Build function parser: <function=name>args</function>
+        auto tool_parser = tool(tool_open(literal(func_opener) + tool_name(literal(name)) + literal(func_name_suffix)) +
+                                space() + tool_args(args) + space() + tool_close(literal(func_closer)));
+
+        tool_choices |= rule("tool-" + name, tool_parser);
+    }
+
+    // Build the section with markers
+    auto section =
+        parallel_tool_calls ?
+            trigger_rule("tool-call", literal(section_start) + space() + one_or_more(tool_choices + space()) +
+                                          literal(section_end)) :
+            trigger_rule("tool-call", literal(section_start) + space() + tool_choices + space() + literal(section_end));
+
+    return force_tool_calls ? section : optional(section);
 }
 
-void common_chat_peg_constructed_mapper::map(const common_peg_ast_node & node) {
-    common_chat_peg_mapper::map(node);
+// Python-style tool calls: name(arg1="value1", arg2=123)
+// Used only by LFM2 for now, so we don't merge it into autoparser
+common_peg_parser common_chat_peg_builder::python_style_tool_calls(
+    const ordered_json & tools,
+    bool                 parallel_tool_calls) {
+    if (!tools.is_array() || tools.empty()) {
+        return eps();
+    }
 
-    bool is_tool_open = node.tag == common_chat_peg_constructed_builder::TOOL_OPEN;
-    bool is_tool_name = node.tag == common_chat_peg_constructed_builder::TOOL_NAME;
-    bool is_tool_close = node.tag == common_chat_peg_constructed_builder::TOOL_CLOSE;
-    bool is_arg_open = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_OPEN;
-    bool is_arg_close = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_CLOSE;
-    bool is_arg_name = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_NAME;
-    bool is_arg_string = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_STRING_VALUE;
-    bool is_arg_json = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_JSON_VALUE;
+    auto tool_choices = choice();
 
-    if (is_tool_open) {
-        result.tool_calls.emplace_back();
-        current_tool = &result.tool_calls.back();
-        arg_count = 0;
+    for (const auto & tool_def : tools) {
+        if (!tool_def.contains("function")) {
+            continue;
+        }
+        const auto &   function = tool_def.at("function");
+        std::string    name     = function.at("name");
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
+
+        auto args = eps();
+        if (params.contains("properties") && !params["properties"].empty()) {
+            auto arg_choice = choice();
+            for (const auto & el : params["properties"].items()) {
+                const std::string & prop_name = el.key();
+                const auto & prop_def = el.value();
+                bool is_string_type = (prop_def.contains("type") && prop_def["type"] == "string");
+
+                auto arg_name_parser = literal(prop_name);
+
+                common_peg_parser arg_value_parser = eps();
+                auto string_value_parser = choice({
+                    literal("\"") + tool_arg_string_value(string_content('"')) + literal("\""),
+                    literal("'") + tool_arg_string_value(string_content('\'')) + literal("'")
+                });
+
+                if (is_string_type) {
+                    arg_value_parser = string_value_parser;
+                } else {
+                    arg_value_parser = tool_arg_value(python_value());
+                }
+
+                // Full argument: name="value" or name=value
+                auto arg_rule = tool_arg(
+                    tool_arg_open(eps()) +
+                    tool_arg_name(arg_name_parser) +
+                    literal("=") +
+                    arg_value_parser +
+                    tool_arg_close(eps())
+                );
+                arg_choice |= arg_rule;
+            }
+
+            args = arg_choice + zero_or_more("," + space() + arg_choice);
+        }
+
+        auto tool_parser = tool(tool_open(tool_name(literal(name)) + literal("(")) +
+            space() + tool_args(args) + space() + tool_close(literal(")"))
+        );
+
+        tool_choices |= rule("tool-" + name, tool_parser);
     }
 
-    if (is_tool_name) {
-        current_tool->name = std::string(node.text);
-        current_tool->arguments = "{";
+    if (parallel_tool_calls) {
+        return "[" + space() + tool_choices + zero_or_more("," + space() + tool_choices) + space() + "]";
     }
+    return "[" + space() + tool_choices + space() + "]";
+}
 
-    if (is_arg_open) {
-        needs_closing_quote = false;
+// Helper: Parse dot notation key into prefix and field name
+static std::pair<std::string, std::string> parse_key_spec(const std::string & key) {
+    auto dot_pos = key.find('.');
+    if (dot_pos == std::string::npos) {
+        return {"", key};  // Top-level field
     }
+    return {key.substr(0, dot_pos), key.substr(dot_pos + 1)};
+}
 
-    if (is_arg_name && current_tool) {
-        if (arg_count > 0) {
-            current_tool->arguments += ",";
+// Mode 1: function_is_key — parse {"function_name": {...}}
+common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key(
+    const ordered_json & tools,
+    const std::string &  args_key,
+    const std::string &  effective_args_key,
+    const std::string &  call_id_key,
+    const std::string &  gen_call_id_key) {
+
+    auto tool_choices = choice();
+
+    for (const auto & tool_def : tools) {
+        if (!tool_def.contains("function")) {
+            continue;
         }
-        current_tool->arguments += json(trim_trailing_space(node.text)).dump() + ":";
-        ++arg_count;
+        const auto &   function = tool_def.at("function");
+        std::string    name     = function.at("name");
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
+
+        // Build inner object fields
+        std::vector<common_peg_parser> inner_fields;
+
+        if (!call_id_key.empty()) {
+            auto id_parser = atomic(
+                literal("\"" + call_id_key + "\"") + space() + literal(":") + space() +
+                literal("\"") + tool_id(string_content('"')) + literal("\"")
+            );
+            inner_fields.push_back(optional(id_parser + space() + optional(literal(",") + space())));
+        }
+
+        if (!gen_call_id_key.empty()) {
+            auto gen_id_parser = atomic(
+                literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() +
+                choice({
+                    literal("\"") + tool_id(string_content('"')) + literal("\""),
+                    tool_id(json_number())
+                })
+            );
+            inner_fields.push_back(optional(gen_id_parser + space() + optional(literal(",") + space())));
+        }
+
+        // Arguments — either wrapped in args_key or parsed directly
+        common_peg_parser args_parser = eps();
+        if (args_key.empty()) {
+            args_parser = tool_args(schema(json(), "tool-" + name + "-schema", params));
+        } else {
+            args_parser = literal("\"" + effective_args_key + "\"") + space() + literal(":") + space() +
+                          tool_args(schema(json(), "tool-" + name + "-schema", params));
+        }
+        inner_fields.push_back(args_parser);
+
+        // Build inner object parser
+        common_peg_parser inner_object = eps();
+        if (args_key.empty() && inner_fields.size() == 1) {
+            inner_object = inner_fields[0];
+        } else {
+            inner_object = literal("{") + space();
+            for (size_t i = 0; i < inner_fields.size(); i++) {
+                inner_object = inner_object + inner_fields[i];
+                if (i < inner_fields.size() - 1) {
+                    inner_object = inner_object + space();
+                }
+            }
+            inner_object = inner_object + space() + literal("}");
+        }
+
+        auto tool_parser = tool(
+            tool_open(literal("{")) + space() +
+            literal("\"") + tool_name(literal(name)) + literal("\"") +
+            space() + literal(":") + space() +
+            inner_object +
+            space() + tool_close(literal("}"))
+        );
+
+        tool_choices |= rule("tool-" + name, tool_parser);
     }
 
-    if (is_arg_string && current_tool) {
-        // Serialize to JSON, but exclude the end quote
-        std::string dumped = json(trim_trailing_space(node.text)).dump();
-        current_tool->arguments += dumped.substr(0, dumped.size() - 1);
-        needs_closing_quote = true;
+    return tool_choices;
+}
+
+// Mode 2: Nested keys (dot notation like "function.name")
+common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
+    const ordered_json & tools,
+    const std::string &  effective_name_key,
+    const std::string &  effective_args_key,
+    const std::string &  call_id_key,
+    const std::string &  gen_call_id_key) {
+
+    auto tool_choices = choice();
+
+    auto name_spec = parse_key_spec(effective_name_key);
+    auto args_spec = parse_key_spec(effective_args_key);
+
+    std::string nested_prefix     = !name_spec.first.empty() ? name_spec.first  : args_spec.first;
+    std::string nested_name_field = !name_spec.first.empty() ? name_spec.second  : effective_name_key;
+    std::string nested_args_field = !args_spec.first.empty() ? args_spec.second  : effective_args_key;
+
+    for (const auto & tool_def : tools) {
+        if (!tool_def.contains("function")) {
+            continue;
+        }
+        const auto &   function = tool_def.at("function");
+        std::string    name     = function.at("name");
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
+
+        auto nested_name = literal("\"" + nested_name_field + "\"") + space() + literal(":") + space() +
+                          literal("\"") + tool_name(literal(name)) + literal("\"");
+        auto nested_args = literal("\"" + nested_args_field + "\"") + space() + literal(":") + space() +
+                          tool_args(schema(json(), "tool-" + name + "-schema", params));
+
+        auto nested_object = literal("{") + space() +
+                            nested_name + space() + literal(",") + space() +
+                            nested_args +
+                            space() + literal("}");
+
+        // Format: { id?, "function": {...} }
+        auto tool_parser_body = tool_open(literal("{")) + space();
+
+        if (!call_id_key.empty()) {
+            auto id_spec = parse_key_spec(call_id_key);
+            if (id_spec.first.empty()) {
+                auto id_parser = atomic(
+                    literal("\"" + call_id_key + "\"") + space() + literal(":") + space() +
+                    literal("\"") + tool_id(string_content('"')) + literal("\"")
+                );
+                tool_parser_body = tool_parser_body + optional(id_parser + space() + literal(",") + space());
+            }
+        }
+
+        if (!gen_call_id_key.empty()) {
+            auto gen_id_spec = parse_key_spec(gen_call_id_key);
+            if (gen_id_spec.first.empty()) {
+                auto gen_id_parser = atomic(
+                    literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() +
+                    choice({
+                        literal("\"") + tool_id(string_content('"')) + literal("\""),
+                        tool_id(json_number())
+                    })
+                );
+                tool_parser_body = tool_parser_body + optional(gen_id_parser + space() + literal(",") + space());
+            }
+        }
+
+        auto nested_field = literal("\"" + nested_prefix + "\"") + space() + literal(":") + space() + nested_object;
+        tool_parser_body = tool_parser_body + nested_field + space() + tool_close(literal("}"));
+
+        tool_choices |= rule("tool-" + name, tool(tool_parser_body));
     }
 
-    if (is_arg_close && current_tool) {
-        if (needs_closing_quote) {
-            current_tool->arguments += "\"";
-            needs_closing_quote = false;
+    return tool_choices;
+}
+
+// Mode 3: Flat keys with optional ID fields and parameter ordering
+common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
+    const ordered_json &             tools,
+    const std::string &              effective_name_key,
+    const std::string &              effective_args_key,
+    const std::string &              call_id_key,
+    const std::string &              gen_call_id_key,
+    const std::vector<std::string> & parameters_order) {
+
+    auto tool_choices    = choice();
+    auto name_key_parser = literal("\"" + effective_name_key + "\"");
+    auto args_key_parser = literal("\"" + effective_args_key + "\"");
+
+    for (const auto & tool_def : tools) {
+        if (!tool_def.contains("function")) {
+            continue;
         }
+        const auto &   function = tool_def.at("function");
+        std::string    name     = function.at("name");
+        ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
+
+        auto tool_name_ = name_key_parser + space() + literal(":") + space() +
+                         literal("\"") + tool_name(literal(name)) + literal("\"");
+        auto tool_args_ = args_key_parser + space() + literal(":") + space() +
+                         tool_args(schema(json(), "tool-" + name + "-schema", params));
+
+        // Build ID parsers if keys are provided
+        common_peg_parser id_parser = eps();
+        if (!call_id_key.empty()) {
+            id_parser = atomic(
+                literal("\"" + call_id_key + "\"") + space() + literal(":") + space() +
+                choice({
+                    literal("\"") + tool_id(string_content('"')) + literal("\""),
+                    tool_id(json_number())
+                })
+            );
+        }
+
+        common_peg_parser gen_id_parser = eps();
+        if (!gen_call_id_key.empty()) {
+            gen_id_parser = atomic(
+                literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() +
+                choice({
+                    literal("\"") + tool_id(string_content('"')) + literal("\""),
+                    tool_id(json_number())
+                })
+            );
+        }
+
+        // Create (parser, key) pairs for all fields, then sort by parameters_order
+        std::vector<std::pair<common_peg_parser, std::string>> parser_pairs;
+        parser_pairs.emplace_back(tool_name_, effective_name_key);
+        parser_pairs.emplace_back(tool_args_, effective_args_key);
+        if (!call_id_key.empty()) {
+            parser_pairs.emplace_back(optional(id_parser), call_id_key);
+        }
+        if (!gen_call_id_key.empty()) {
+            parser_pairs.emplace_back(optional(gen_id_parser), gen_call_id_key);
+        }
+
+        std::sort(parser_pairs.begin(), parser_pairs.end(),
+            [&parameters_order](const auto & a, const auto & b) {
+                auto pos_a = std::find(parameters_order.begin(), parameters_order.end(), a.second);
+                auto pos_b = std::find(parameters_order.begin(), parameters_order.end(), b.second);
+                size_t idx_a = (pos_a == parameters_order.end()) ? parameters_order.size() : std::distance(parameters_order.begin(), pos_a);
+                size_t idx_b = (pos_b == parameters_order.end()) ? parameters_order.size() : std::distance(parameters_order.begin(), pos_b);
+                return idx_a < idx_b;
+            });
+
+        auto ordered_body = tool_open(literal("{")) + space();
+        for (size_t i = 0; i < parser_pairs.size(); i++) {
+            ordered_body = ordered_body + parser_pairs[i].first;
+            if (i < parser_pairs.size() - 1) {
+                ordered_body = ordered_body + space() + literal(",") + space();
+            }
+        }
+        ordered_body = ordered_body + space() + tool_close(literal("}"));
+
+        tool_choices |= rule("tool-" + name, tool(ordered_body));
     }
 
-    if (is_arg_json && current_tool) {
-        current_tool->arguments += std::string(trim_trailing_space(node.text));
+    return tool_choices;
+}
+
+common_peg_parser common_chat_peg_builder::standard_json_tools(
+                                                       const std::string &              section_start,
+                                                       const std::string &              section_end,
+                                                       const ordered_json &             tools,
+                                                       bool                             parallel_tool_calls,
+                                                       bool                             force_tool_calls,
+                                                       const std::string &              name_key,
+                                                       const std::string &              args_key,
+                                                       bool                             array_wrapped,
+                                                       bool                             function_is_key,
+                                                       const std::string &              call_id_key,
+                                                       const std::string &              gen_call_id_key,
+                                                       const std::vector<std::string> & parameters_order) {
+    if (!tools.is_array() || tools.empty()) {
+        return eps();
     }
 
-    if (is_tool_close && current_tool) {
-        if (needs_closing_quote) {
-            current_tool->arguments += "\"";
-            needs_closing_quote = false;
+    std::string effective_name_key = name_key.empty() ? "name" : name_key;
+    std::string effective_args_key = args_key.empty() ? "arguments" : args_key;
+
+    // Dispatch to the appropriate builder based on the JSON layout mode
+    common_peg_parser tool_choices = eps();
+    if (function_is_key) {
+        tool_choices = build_json_tools_function_is_key(tools, args_key, effective_args_key, call_id_key, gen_call_id_key);
+    } else {
+        auto name_spec = parse_key_spec(effective_name_key);
+        auto args_spec = parse_key_spec(effective_args_key);
+        if (!name_spec.first.empty() || !args_spec.first.empty()) {
+            tool_choices = build_json_tools_nested_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key);
+        } else {
+            tool_choices = build_json_tools_flat_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key, parameters_order);
         }
-        current_tool->arguments += "}";
     }
+
+    // Build the section with markers
+    auto tool_calls = tool_choices;
+    if (parallel_tool_calls) {
+        tool_calls = tool_calls + zero_or_more(space() + literal(",") + space() + tool_choices);
+    }
+
+    if (array_wrapped) {
+        tool_calls = literal("[") + space() + tool_calls + space() + literal("]");
+    }
+
+    auto section =
+        trigger_rule("tool-call", literal(section_start) + space() + tool_calls + space() + literal(section_end));
+
+    return force_tool_calls ? section : optional(section);
 }
diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h
index b84cbed2069..a497508d2f2 100644
--- a/common/chat-peg-parser.h
+++ b/common/chat-peg-parser.h
@@ -3,22 +3,9 @@
 #include "chat.h"
 #include "peg-parser.h"
 
-class common_chat_peg_builder : public common_peg_parser_builder {
-  public:
-    static constexpr const char * REASONING_BLOCK = "reasoning-block";
-    static constexpr const char * REASONING = "reasoning";
-    static constexpr const char * CONTENT = "content";
-
-    common_peg_parser reasoning_block(const common_peg_parser & p) { return tag(REASONING_BLOCK, p); }
-    common_peg_parser reasoning(const common_peg_parser & p) { return tag(REASONING, p); }
-    common_peg_parser content(const common_peg_parser & p) { return tag(CONTENT, p); }
-};
-
-inline common_peg_arena build_chat_peg_parser(const std::function<common_peg_parser(common_chat_peg_builder & builder)> & fn) {
-    common_chat_peg_builder builder;
-    builder.set_root(fn(builder));
-    return builder.build();
-}
+#include <map>
+#include <optional>
+#include <vector>
 
 class common_chat_peg_mapper {
   public:
@@ -26,80 +13,169 @@ class common_chat_peg_mapper {
 
     common_chat_peg_mapper(common_chat_msg & msg) : result(msg) {}
 
+    virtual ~common_chat_peg_mapper() = default;
+
     virtual void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result);
     virtual void map(const common_peg_ast_node & node);
+    private:
+      // Tool call handling state
+      std::optional<common_chat_tool_call> pending_tool_call;  // Tool call waiting for name
+      common_chat_tool_call *              current_tool          = nullptr;
+      int                                  arg_count             = 0;
+      bool                                 closing_quote_pending = false;
+      std::string                          args_buffer;  // Buffer to delay arguments until tool name is known
+
+      // Returns a reference to the active argument destination string.
+      // Before tool_name is known, writes go to args_buffer; after, to current_tool->arguments.
+      std::string & args_target();
 };
 
-class common_chat_peg_native_builder : public common_chat_peg_builder {
-  public:
-    static constexpr const char * TOOL = "tool";
-    static constexpr const char * TOOL_OPEN = "tool-open";
-    static constexpr const char * TOOL_CLOSE = "tool-close";
-    static constexpr const char * TOOL_ID = "tool-id";
-    static constexpr const char * TOOL_NAME = "tool-name";
-    static constexpr const char * TOOL_ARGS = "tool-args";
-
-    common_peg_parser tool(const common_peg_parser & p) { return tag(TOOL, p); }
-    common_peg_parser tool_open(const common_peg_parser & p) { return atomic(tag(TOOL_OPEN, p)); }
-    common_peg_parser tool_close(const common_peg_parser & p) { return atomic(tag(TOOL_CLOSE, p)); }
-    common_peg_parser tool_id(const common_peg_parser & p) { return atomic(tag(TOOL_ID, p)); }
-    common_peg_parser tool_name(const common_peg_parser & p) { return atomic(tag(TOOL_NAME, p)); }
-    common_peg_parser tool_args(const common_peg_parser & p) { return tag(TOOL_ARGS, p); }
-};
-
-class common_chat_peg_native_mapper : public common_chat_peg_mapper {
-    common_chat_tool_call * current_tool;
+struct content_structure;
+struct tool_call_structure;
 
+class common_chat_peg_builder : public common_peg_parser_builder {
   public:
-    common_chat_peg_native_mapper(common_chat_msg & msg) : common_chat_peg_mapper(msg) {}
+    // Tag constants (from former common_chat_peg_base_builder)
+    static constexpr const char * REASONING_BLOCK = "reasoning-block";
+    static constexpr const char * REASONING       = "reasoning";
+    static constexpr const char * CONTENT         = "content";
+
+    // Tag constants
+    static constexpr const char * TOOL           = "tool";
+    static constexpr const char * TOOL_OPEN      = "tool-open";
+    static constexpr const char * TOOL_CLOSE     = "tool-close";
+    static constexpr const char * TOOL_ID        = "tool-id";
+    static constexpr const char * TOOL_NAME      = "tool-name";
+    static constexpr const char * TOOL_ARGS      = "tool-args";
+    static constexpr const char * TOOL_ARG       = "tool-arg";
+    static constexpr const char * TOOL_ARG_OPEN  = "tool-arg-open";
+    static constexpr const char * TOOL_ARG_CLOSE = "tool-arg-close";
+    static constexpr const char * TOOL_ARG_NAME         = "tool-arg-name";
+    static constexpr const char * TOOL_ARG_VALUE        = "tool-arg-value";
+    static constexpr const char * TOOL_ARG_STRING_VALUE = "tool-arg-string-value";  // For schema-declared string types
 
-    void map(const common_peg_ast_node & node) override;
-};
+    // Low-level tag methods (from former common_chat_peg_base_builder)
+    common_peg_parser reasoning_block(const common_peg_parser & p) { return tag(REASONING_BLOCK, p); }
 
-inline common_peg_arena build_chat_peg_native_parser(const std::function<common_peg_parser(common_chat_peg_native_builder & builder)> & fn) {
-    common_chat_peg_native_builder builder;
-    builder.set_root(fn(builder));
-    return builder.build();
-}
+    common_peg_parser reasoning(const common_peg_parser & p) { return tag(REASONING, p); }
 
-class common_chat_peg_constructed_builder : public common_chat_peg_builder {
-  public:
-    static constexpr const char * TOOL = "tool";
-    static constexpr const char * TOOL_OPEN = "tool-open";
-    static constexpr const char * TOOL_CLOSE = "tool-close";
-    static constexpr const char * TOOL_NAME = "tool-name";
-    static constexpr const char * TOOL_ARG = "tool-arg";
-    static constexpr const char * TOOL_ARG_OPEN = "tool-arg-open";
-    static constexpr const char * TOOL_ARG_CLOSE = "tool-arg-close";
-    static constexpr const char * TOOL_ARG_NAME = "tool-arg-name";
-    static constexpr const char * TOOL_ARG_STRING_VALUE = "tool-arg-string-value";
-    static constexpr const char * TOOL_ARG_JSON_VALUE = "tool-arg-json-value";
+    common_peg_parser content(const common_peg_parser & p) { return tag(CONTENT, p); }
+
+    common_peg_parser tag_with_safe_content(const std::string &       tag_name,
+                        const std::string &       marker,
+                        const common_peg_parser & p);
 
+    // Low-level tag methods
     common_peg_parser tool(const common_peg_parser & p) { return tag(TOOL, p); }
     common_peg_parser tool_open(const common_peg_parser & p) { return atomic(tag(TOOL_OPEN, p)); }
     common_peg_parser tool_close(const common_peg_parser & p) { return atomic(tag(TOOL_CLOSE, p)); }
+    common_peg_parser tool_id(const common_peg_parser & p) { return atomic(tag(TOOL_ID, p)); }
     common_peg_parser tool_name(const common_peg_parser & p) { return atomic(tag(TOOL_NAME, p)); }
+    common_peg_parser tool_args(const common_peg_parser & p) { return tag(TOOL_ARGS, p); }
     common_peg_parser tool_arg(const common_peg_parser & p) { return tag(TOOL_ARG, p); }
     common_peg_parser tool_arg_open(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_OPEN, p)); }
     common_peg_parser tool_arg_close(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_CLOSE, p)); }
     common_peg_parser tool_arg_name(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_NAME, p)); }
+    common_peg_parser tool_arg_value(const common_peg_parser & p) { return tag(TOOL_ARG_VALUE, p); }
+
+    // Use for schema-declared string types - won't be treated as potential JSON container
     common_peg_parser tool_arg_string_value(const common_peg_parser & p) { return tag(TOOL_ARG_STRING_VALUE, p); }
-    common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return tag(TOOL_ARG_JSON_VALUE, p); }
+    common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_VALUE, p)); }
+
+    // Legacy-compatible helper for building standard JSON tool calls
+    // Used by tests and manual parsers
+    // name_key/args_key: JSON key names for function name and arguments
+    //   Empty or "name"/"arguments" will accept both common variations
+    //   Supports dot notation for nested objects (e.g., "function.name")
+    // array_wrapped: if true, tool calls are wrapped in JSON array [...]
+    // function_is_key: if true, function name is the JSON key (e.g., {"func_name": {...}})
+    // call_id_key: JSON key for string call ID (e.g., "id")
+    // gen_call_id_key: JSON key for generated integer call ID (e.g., "tool_call_id")
+    // parameters_order: order in which JSON fields should be parsed
+    common_peg_parser standard_json_tools(const std::string &              section_start,
+                                          const std::string &              section_end,
+                                          const nlohmann::ordered_json &   tools,
+                                          bool                             parallel_tool_calls,
+                                          bool                             force_tool_calls,
+                                          const std::string &              name_key = "",
+                                          const std::string &              args_key = "",
+                                          bool                             array_wrapped = false,
+                                          bool                             function_is_key = false,
+                                          const std::string &              call_id_key = "",
+                                          const std::string &              gen_call_id_key = "",
+                                          const std::vector<std::string> & parameters_order = {});
+
+    // Legacy-compatible helper for building XML/tagged style tool calls
+    // Used by tests and manual parsers
+    common_peg_parser standard_constructed_tools(const std::map<std::string, std::string> & markers,
+                                                 const nlohmann::ordered_json &             tools,
+                                                 bool                                       parallel_tool_calls,
+                                                 bool                                       force_tool_calls);
+
+    // Helper for Python-style function call format: name(arg1="value1", arg2=123)
+    // Used by LFM2 and similar templates
+    common_peg_parser python_style_tool_calls(const nlohmann::ordered_json & tools,
+                                              bool                           parallel_tool_calls);
+
+  private:
+    // Implementation helpers for standard_json_tools — one per JSON tool call layout mode
+    common_peg_parser build_json_tools_function_is_key(const nlohmann::ordered_json & tools,
+                                                       const std::string &            args_key,
+                                                       const std::string &            effective_args_key,
+                                                       const std::string &            call_id_key,
+                                                       const std::string &            gen_call_id_key);
+
+    common_peg_parser build_json_tools_nested_keys(const nlohmann::ordered_json & tools,
+                                                   const std::string &            effective_name_key,
+                                                   const std::string &            effective_args_key,
+                                                   const std::string &            call_id_key,
+                                                   const std::string &            gen_call_id_key);
+
+    common_peg_parser build_json_tools_flat_keys(const nlohmann::ordered_json &   tools,
+                                                 const std::string &              effective_name_key,
+                                                 const std::string &              effective_args_key,
+                                                 const std::string &              call_id_key,
+                                                 const std::string &              gen_call_id_key,
+                                                 const std::vector<std::string> & parameters_order);
 };
 
-class common_chat_peg_constructed_mapper : public common_chat_peg_mapper {
-    common_chat_tool_call * current_tool;
-    int arg_count = 0;
-    bool needs_closing_quote = false;
+inline common_peg_arena build_chat_peg_parser(
+  const std::function<common_peg_parser(common_chat_peg_builder & builder)> & fn) {
+  common_chat_peg_builder builder;
+  builder.set_root(fn(builder));
+  return builder.build();
+}
 
+class tag_based_peg_mapper {
   public:
-    common_chat_peg_constructed_mapper(common_chat_msg & msg) : common_chat_peg_mapper(msg) {}
+    std::map<std::string, std::string> tags;
 
-    void map(const common_peg_ast_node & node) override;
+    void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result);
 };
 
-inline common_peg_arena build_chat_peg_constructed_parser(const std::function<common_peg_parser(common_chat_peg_constructed_builder & builder)> & fn) {
-    common_chat_peg_constructed_builder builder;
-    builder.set_root(fn(builder));
-    return builder.build();
-}
+struct tagged_parse_result {
+    common_peg_parse_result              result;
+    std::map<std::string, std::string> tags;
+};
+
+struct tagged_peg_parser {
+    common_peg_arena arena;
+    common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE;
+
+    tagged_peg_parser & withDebug() {
+      flags |= COMMON_PEG_PARSE_FLAG_DEBUG;
+      return *this;
+    }
+
+    tagged_peg_parser & withoutDebug() {
+      flags = flags & ~COMMON_PEG_PARSE_FLAG_DEBUG;
+      return *this;
+    }
+
+    tagged_parse_result parse_and_extract(const std::string & input, common_peg_parse_flags extra_flags = COMMON_PEG_PARSE_FLAG_NONE) const;
+    tagged_parse_result parse_anywhere_and_extract(const std::string & input) const;
+};
+
+tagged_peg_parser build_tagged_peg_parser(
+    const std::function<common_peg_parser(common_peg_parser_builder & builder)> & fn);
+
diff --git a/common/chat.cpp b/common/chat.cpp
index 47a34d58228..cfd5df30a7f 100644
--- a/common/chat.cpp
+++ b/common/chat.cpp
@@ -1,24 +1,25 @@
 #include "chat.h"
-#include "chat-parser.h"
+
+#include "chat-auto-parser.h"
 #include "chat-peg-parser.h"
 #include "common.h"
-#include "json-partial.h"
+#include "ggml.h"
 #include "json-schema-to-grammar.h"
 #include "log.h"
-#include "regex-partial.h"
 
-#include "jinja/parser.h"
 #include "jinja/value.h"
 #include "jinja/runtime.h"
 #include "jinja/caps.h"
+#include "peg-parser.h"
 
-#include <algorithm>
 #include <cstdio>
-#include <cctype>
+#include <cstdlib>
+#include <ctime>
 #include <exception>
 #include <functional>
-#include <iostream>
+
 #include <optional>
+#include <sstream>
 #include <stdexcept>
 #include <string>
 #include <vector>
@@ -26,14 +27,26 @@
 using json = nlohmann::ordered_json;
 
 static std::string format_time(const std::chrono::system_clock::time_point & now, const std::string & format) {
-    auto time = std::chrono::system_clock::to_time_t(now);
-    auto local_time = *std::localtime(&time);
+    auto               time       = std::chrono::system_clock::to_time_t(now);
+    auto               local_time = *std::localtime(&time);
     std::ostringstream ss;
     ss << std::put_time(&local_time, format.c_str());
     auto res = ss.str();
     return res;
 }
 
+static json safe_args_parse(const std::string & to_parse) {
+    std::string stripped = to_parse;
+    if (to_parse.at(0) == '"' && to_parse.at(to_parse.length() - 1) == '"') {
+        stripped = to_parse.substr(1, to_parse.length() - 1);
+    }
+    try {
+        return json::parse(stripped);
+    } catch (json::exception & e) {
+        return stripped;
+    }
+}
+
 static std::string string_diff(const std::string & last, const std::string & current) {
     if (last.empty()) {
         return current;
@@ -65,14 +78,25 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const {
     } else if (!content_parts.empty()) {
         if (concat_typed_text) {
             std::string text;
+            bool last_was_media_marker = false;
+            // join parts with newline, do not add newline before or after media markers
             for (const auto & part : content_parts) {
-                if (part.type != "text") {
+                bool add_new_line = true;
+                if (part.type == "text") {
+                    add_new_line = !last_was_media_marker && !text.empty();
+                    last_was_media_marker = false;
+                } else if (part.type == "media_marker") {
+                    add_new_line = false;
+                    last_was_media_marker = true;
+                } else {
                     LOG_WRN("Ignoring content part type: %s\n", part.type.c_str());
                     continue;
                 }
-                if (!text.empty()) {
+
+                if (add_new_line) {
                     text += '\n';
                 }
+
                 text += part.text;
             }
             jmsg["content"] = text;
@@ -105,7 +129,7 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const {
                 {"type", "function"},
                 {"function", {
                     {"name", tool_call.name},
-                    {"arguments", tool_call.arguments},
+                    {"arguments", json(tool_call.arguments)},
                 }},
             };
             if (!tool_call.id.empty()) {
@@ -122,7 +146,8 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const {
     return jmsg;
 }
 
-std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const common_chat_msg & msg_prv, const common_chat_msg & msg_new) {
+std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const common_chat_msg & msg_prv,
+                                                                      const common_chat_msg & msg_new) {
     std::vector<common_chat_msg_diff> diffs;
     if (msg_new.tool_calls.size() > msg_prv.tool_calls.size()) {
         diffs.reserve(msg_new.tool_calls.size() - msg_prv.tool_calls.size() + 3);
@@ -132,38 +157,56 @@ std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const comm
 
     // TODO: these can become expensive for long messages - how to optimize?
     if (msg_prv.reasoning_content != msg_new.reasoning_content) {
-        auto & diff = diffs.emplace_back();
+        auto & diff                  = diffs.emplace_back();
         diff.reasoning_content_delta = string_diff(msg_prv.reasoning_content, msg_new.reasoning_content);
     }
     if (msg_prv.content != msg_new.content) {
-        auto & diff = diffs.emplace_back();
+        auto & diff        = diffs.emplace_back();
         diff.content_delta = string_diff(msg_prv.content, msg_new.content);
     }
 
     if (msg_new.tool_calls.size() < msg_prv.tool_calls.size()) {
-        throw std::runtime_error("Invalid diff: now finding less tool calls!");
+        std::string err = "Invalid diff: now finding less tool calls!\n";
+        err += "  Previous (" + std::to_string(msg_prv.tool_calls.size()) + "):\n";
+        for (const auto & tc : msg_prv.tool_calls) {
+            err += "    - name: '" + tc.name + "', args: '" + tc.arguments + "'\n";
+        }
+        err += "  Current (" + std::to_string(msg_new.tool_calls.size()) + "):\n";
+        for (const auto & tc : msg_new.tool_calls) {
+            err += "    - name: '" + tc.name + "', args: '" + tc.arguments + "'\n";
+        }
+        err += "  Current msg text content:\n" + msg_new.content + "\n";
+        throw std::runtime_error(err);
     }
 
     if (!msg_prv.tool_calls.empty()) {
-        const auto idx = msg_prv.tool_calls.size() - 1;
+        const auto   idx  = msg_prv.tool_calls.size() - 1;
         const auto & pref = msg_prv.tool_calls[idx];
         const auto & newf = msg_new.tool_calls[idx];
-        if (pref.name != newf.name) {
-            throw std::runtime_error("Invalid diff: tool call mismatch!");
+        // Allow tool name to change during incremental parsing:
+        // - empty -> non-empty (initial discovery)
+        // - prefix -> longer string (name grows as more input is parsed)
+        if (pref.name != newf.name && !pref.name.empty() && !newf.name.empty()) {
+            // Check if one is a prefix of the other (for incremental parsing where names grow or shrink)
+            bool is_prefix = (newf.name.rfind(pref.name, 0) == 0);
+            if (!is_prefix) {
+                LOG_ERR("Tool call mismatch: prev='%s' new='%s'\n", pref.name.c_str(), newf.name.c_str());
+                throw std::runtime_error("Invalid diff: tool call mismatch!");
+            }
         }
         const auto args_diff = string_diff(pref.arguments, newf.arguments);
-        if (!args_diff.empty() || pref.id != newf.id) {
-            auto & diff = diffs.emplace_back();
+        if (!args_diff.empty() || pref.id != newf.id || pref.name != newf.name) {
+            auto & diff          = diffs.emplace_back();
             diff.tool_call_index = idx;
-            if (pref.id != newf.id) {
-                diff.tool_call_delta.id = newf.id;
+            if (pref.id != newf.id || pref.name != newf.name) {
+                diff.tool_call_delta.id   = newf.id;
                 diff.tool_call_delta.name = newf.name;
             }
             diff.tool_call_delta.arguments = args_diff;
         }
     }
     for (size_t idx = msg_prv.tool_calls.size(); idx < msg_new.tool_calls.size(); ++idx) {
-        auto & diff = diffs.emplace_back();
+        auto & diff          = diffs.emplace_back();
         diff.tool_call_index = idx;
         diff.tool_call_delta = msg_new.tool_calls[idx];
     }
@@ -173,94 +216,14 @@ std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const comm
 
 using chat_template_caps = jinja::caps;
 
-struct common_chat_template {
-    jinja::program prog;
-    std::string bos_tok;
-    std::string eos_tok;
-    std::string src;
-    chat_template_caps caps;
-
-    common_chat_template(const std::string & src, const std::string & bos_token, const std::string & eos_token) {
-        jinja::lexer lexer;
-        auto lexer_res = lexer.tokenize(src);
-        this->prog = jinja::parse_from_tokens(lexer_res);
-
-        this->src = lexer_res.source;
-        this->bos_tok = bos_token;
-        this->eos_tok = eos_token;
-
-        this->caps = jinja::caps_get(prog);
-        // LOG_INF("%s: caps:\n%s\n", __func__, this->caps.to_string().c_str());
-    }
-
-    const std::string & source() const { return src; }
-    const std::string & bos_token() const { return bos_tok; }
-    const std::string & eos_token() const { return eos_tok; }
-
-    // TODO: this is ugly, refactor it somehow
-    json add_system(const json & messages, const std::string & system_prompt) const {
-        GGML_ASSERT(messages.is_array());
-        auto msgs_copy = messages;
-        if (!caps.supports_system_role) {
-            if (msgs_copy.empty()) {
-                msgs_copy.insert(msgs_copy.begin(), json{
-                    {"role", "user"},
-                    {"content", system_prompt}
-                });
-            } else {
-                auto & first_msg = msgs_copy[0];
-                if (!first_msg.contains("content")) {
-                    first_msg["content"] = "";
-                }
-                first_msg["content"] = system_prompt + "\n\n"
-                    + first_msg["content"].get<std::string>();
-            }
-        } else {
-            if (msgs_copy.empty() || msgs_copy[0].at("role") != "system") {
-                msgs_copy.insert(msgs_copy.begin(), json{
-                    {"role", "system"},
-                    {"content", system_prompt}
-                });
-            } else if (msgs_copy[0].at("role") == "system") {
-                msgs_copy[0]["content"] = system_prompt;
-            }
-        }
-        return msgs_copy;
-    }
-
-    chat_template_caps original_caps() const {
-        return caps;
-    }
-
-};
-
 struct common_chat_templates {
     bool add_bos;
     bool add_eos;
-    bool has_explicit_template; // Model had builtin template or template overridde was specified.
-    std::unique_ptr<common_chat_template> template_default; // always set (defaults to chatml)
+    bool has_explicit_template;  // Model had builtin template or template overridde was specified.
+    std::unique_ptr<common_chat_template> template_default;  // always set (defaults to chatml)
     std::unique_ptr<common_chat_template> template_tool_use;
 };
 
-struct templates_params {
-    json messages;
-    json tools;
-    common_chat_tool_choice tool_choice;
-    json json_schema;
-    bool parallel_tool_calls;
-    common_reasoning_format reasoning_format;
-    bool stream;
-    std::string grammar;
-    bool add_generation_prompt = true;
-    bool enable_thinking = true;
-    std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
-    json extra_context;
-    bool add_bos;
-    bool add_eos;
-    bool is_inference = true;
-    bool mark_input = true; // whether to mark input strings in the jinja context
-};
-
 common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice) {
     if (tool_choice == "auto") {
         return COMMON_CHAT_TOOL_CHOICE_AUTO;
@@ -275,23 +238,24 @@ common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::strin
 }
 
 bool common_chat_templates_support_enable_thinking(const common_chat_templates * chat_templates) {
-    common_chat_templates_inputs dummy_inputs;
+    common_chat_templates_inputs inputs;
+    inputs.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
     common_chat_msg msg;
-    msg.role = "user";
+    msg.role    = "user";
     msg.content = "test";
-    dummy_inputs.messages = {msg};
-    dummy_inputs.enable_thinking = false;
-    const auto rendered_no_thinking = common_chat_templates_apply(chat_templates, dummy_inputs);
-    dummy_inputs.enable_thinking = true;
-    const auto rendered_with_thinking = common_chat_templates_apply(chat_templates, dummy_inputs);
-    return rendered_no_thinking.prompt != rendered_with_thinking.prompt;
+    inputs.messages = { msg };
+    inputs.enable_thinking = true;
+    inputs.add_generation_prompt = true;
+    inputs.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
+
+    auto params = common_chat_templates_apply(chat_templates, inputs);
+    return params.supports_thinking;
 }
 
 std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messages) {
     std::vector<common_chat_msg> msgs;
 
     try {
-
         if (!messages.is_array()) {
             throw std::invalid_argument("Expected 'messages' to be an array, got " + messages.dump());
         }
@@ -307,7 +271,7 @@ std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messa
             }
             msg.role = message.at("role");
 
-            auto has_content = message.contains("content");
+            auto has_content    = message.contains("content");
             auto has_tool_calls = message.contains("tool_calls");
             if (has_content) {
                 const auto & content = message.at("content");
@@ -319,7 +283,7 @@ std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messa
                             throw std::invalid_argument("Missing content part type: " + part.dump());
                         }
                         const auto & type = part.at("type");
-                        if (type != "text") {
+                        if (type != "text" && type != "media_marker") {
                             throw std::invalid_argument("Unsupported content part type: " + type.dump());
                         }
                         common_chat_msg_content_part msg_part;
@@ -328,7 +292,9 @@ std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messa
                         msg.content_parts.push_back(msg_part);
                     }
                 } else if (!content.is_null()) {
-                    throw std::invalid_argument("Invalid 'content' type: expected string or array, got " + content.dump() + " (ref: https://github.com/ggml-org/llama.cpp/issues/8367)");
+                    throw std::invalid_argument("Invalid 'content' type: expected string or array, got " +
+                                                content.dump() +
+                                                " (ref: https://github.com/ggml-org/llama.cpp/issues/8367)");
                 }
             }
             if (has_tool_calls) {
@@ -348,8 +314,13 @@ std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messa
                     if (!fc.contains("name")) {
                         throw std::invalid_argument("Missing tool call name: " + tool_call.dump());
                     }
-                    tc.name = fc.at("name");
-                    tc.arguments = fc.at("arguments");
+                    tc.name           = fc.at("name");
+                    const auto & args = fc.at("arguments");
+                    if (args.is_string()) {
+                        tc.arguments = args;
+                    } else {
+                        tc.arguments = args.dump();
+                    }
                     if (tool_call.contains("id")) {
                         tc.id = tool_call.at("id");
                     }
@@ -357,7 +328,9 @@ std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messa
                 }
             }
             if (!has_content && !has_tool_calls) {
-                throw std::invalid_argument("Expected 'content' or 'tool_calls' (ref: https://github.com/ggml-org/llama.cpp/issues/8367 & https://github.com/ggml-org/llama.cpp/issues/12279)");
+                throw std::invalid_argument(
+                    "Expected 'content' or 'tool_calls' (ref: https://github.com/ggml-org/llama.cpp/issues/8367 & "
+                    "https://github.com/ggml-org/llama.cpp/issues/12279)");
             }
             if (message.contains("reasoning_content")) {
                 msg.reasoning_content = message.at("reasoning_content");
@@ -463,12 +436,13 @@ json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & t
     auto result = json::array();
     for (const auto & tool : tools) {
         result.push_back({
-            {"type", "function"},
-            {"function", {
-                {"name", tool.name},
-                {"description", tool.description},
-                {"parameters", json::parse(tool.parameters)},
-            }},
+            { "type",     "function" },
+            { "function",
+             {
+                  { "name", tool.name },
+                  { "description", tool.description },
+                  { "parameters", json::parse(tool.parameters) },
+              }                      },
         });
     }
     return result;
@@ -486,16 +460,20 @@ json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) {
         json tool_call;
         tool_call["index"] = diff.tool_call_index;
         if (!diff.tool_call_delta.id.empty()) {
-            tool_call["id"] = diff.tool_call_delta.id;
+            tool_call["id"]   = diff.tool_call_delta.id;
             tool_call["type"] = "function";
         }
-        json function = json::object();
-        if (!diff.tool_call_delta.name.empty()) {
-            function["name"] = diff.tool_call_delta.name;
+        if (!diff.tool_call_delta.name.empty() || !diff.tool_call_delta.arguments.empty()) {
+            json function = json::object();
+            if (!diff.tool_call_delta.name.empty()) {
+                function["name"] = diff.tool_call_delta.name;
+            }
+            if (!diff.tool_call_delta.arguments.empty()) {
+                function["arguments"] = diff.tool_call_delta.arguments;
+            }
+            tool_call["function"] = function;
         }
-        function["arguments"] = diff.tool_call_delta.arguments;
-        tool_call["function"] = function;
-        delta["tool_calls"] = json::array({tool_call});
+        delta["tool_calls"] = json::array({ tool_call });
     }
     return delta;
 }
@@ -504,13 +482,13 @@ bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) {
     if (use_jinja) {
         try {
             common_chat_msg msg;
-            msg.role = "user";
+            msg.role    = "user";
             msg.content = "test";
 
             auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl);
 
             common_chat_templates_inputs inputs;
-            inputs.messages = {msg};
+            inputs.messages = { msg };
 
             common_chat_templates_apply(tmpls.get(), inputs);
             return true;
@@ -519,28 +497,28 @@ bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) {
             return false;
         }
     }
-    llama_chat_message chat[] = {{"user", "test"}};
+    llama_chat_message chat[] = {
+        { "user", "test" }
+    };
     const int res = llama_chat_apply_template(tmpl.c_str(), chat, 1, true, nullptr, 0);
     return res >= 0;
 }
 
-std::string common_chat_format_single(
-        const struct common_chat_templates * tmpls,
-        const std::vector<common_chat_msg> & past_msg,
-        const common_chat_msg & new_msg,
-        bool add_ass,
-        bool use_jinja) {
-
+std::string common_chat_format_single(const struct common_chat_templates * tmpls,
+                                      const std::vector<common_chat_msg> & past_msg,
+                                      const common_chat_msg &              new_msg,
+                                      bool                                 add_ass,
+                                      bool                                 use_jinja) {
     common_chat_templates_inputs inputs;
     inputs.use_jinja = use_jinja;
-    inputs.add_bos = tmpls->add_bos;
-    inputs.add_eos = tmpls->add_eos;
+    inputs.add_bos   = tmpls->add_bos;
+    inputs.add_eos   = tmpls->add_eos;
 
     std::string fmt_past_msg;
     if (!past_msg.empty()) {
-        inputs.messages = past_msg;
+        inputs.messages              = past_msg;
         inputs.add_generation_prompt = false;
-        fmt_past_msg = common_chat_templates_apply(tmpls, inputs).prompt;
+        fmt_past_msg                 = common_chat_templates_apply(tmpls, inputs).prompt;
     }
     std::ostringstream ss;
     // if the past_msg ends with a newline, we must preserve it in the formatted version
@@ -550,37 +528,39 @@ std::string common_chat_format_single(
     // format chat with new_msg
     inputs.messages.push_back(new_msg);
     inputs.add_generation_prompt = add_ass;
-    auto fmt_new_msg = common_chat_templates_apply(tmpls, inputs).prompt;
+    auto fmt_new_msg             = common_chat_templates_apply(tmpls, inputs).prompt;
     // get the diff part
     ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size());
     return ss.str();
 }
 
-std::string common_chat_format_example(const struct common_chat_templates * tmpls, bool use_jinja, const std::map<std::string, std::string> & chat_template_kwargs) {
+std::string common_chat_format_example(const struct common_chat_templates *       tmpls,
+                                       bool                                       use_jinja,
+                                       const std::map<std::string, std::string> & chat_template_kwargs) {
     common_chat_templates_inputs inputs;
-    inputs.use_jinja = use_jinja;
-    inputs.add_bos = tmpls->add_bos;
-    inputs.add_eos = tmpls->add_eos;
+    inputs.use_jinja            = use_jinja;
+    inputs.add_bos              = tmpls->add_bos;
+    inputs.add_eos              = tmpls->add_eos;
     inputs.chat_template_kwargs = chat_template_kwargs;
-    auto add_simple_msg = [&](auto role, auto content) {
+    auto add_simple_msg         = [&](auto role, auto content) {
         common_chat_msg msg;
-        msg.role = role;
+        msg.role    = role;
         msg.content = content;
         inputs.messages.push_back(msg);
     };
-    add_simple_msg("system",    "You are a helpful assistant");
-    add_simple_msg("user",      "Hello");
+    add_simple_msg("system", "You are a helpful assistant");
+    add_simple_msg("user", "Hello");
     add_simple_msg("assistant", "Hi there");
-    add_simple_msg("user",      "How are you?");
+    add_simple_msg("user", "How are you?");
     return common_chat_templates_apply(tmpls, inputs).prompt;
 }
 
-#define CHATML_TEMPLATE_SRC \
-    "{%- for message in messages -%}\n" \
+#define CHATML_TEMPLATE_SRC                                                               \
+    "{%- for message in messages -%}\n"                                                   \
     "  {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}\n" \
-    "{%- endfor -%}\n" \
-    "{%- if add_generation_prompt -%}\n" \
-    "  {{- '<|im_start|>assistant\n' -}}\n" \
+    "{%- endfor -%}\n"                                                                    \
+    "{%- if add_generation_prompt -%}\n"                                                  \
+    "  {{- '<|im_start|>assistant\n' -}}\n"                                               \
     "{%- endif -%}"
 
 void common_chat_templates_free(struct common_chat_templates * tmpls) {
@@ -598,19 +578,16 @@ std::string common_chat_templates_source(const struct common_chat_templates * tm
                 return tmpls->template_tool_use->source();
             }
             return "";
-        } else {
-            LOG_DBG("%s: unknown template variant: %s\n", __func__, variant.c_str());
         }
+        LOG_DBG("%s: unknown template variant: %s\n", __func__, variant.c_str());
     }
     return tmpls->template_default->source();
 }
 
-common_chat_templates_ptr common_chat_templates_init(
-    const struct llama_model * model,
-    const std::string & chat_template_override,
-    const std::string & bos_token_override,
-    const std::string & eos_token_override)
-{
+common_chat_templates_ptr common_chat_templates_init(const struct llama_model * model,
+                                                     const std::string &        chat_template_override,
+                                                     const std::string &        bos_token_override,
+                                                     const std::string &        eos_token_override) {
     std::string default_template_src;
     std::string template_tool_use_src;
 
@@ -619,7 +596,7 @@ common_chat_templates_ptr common_chat_templates_init(
         GGML_ASSERT(model != nullptr);
         const auto * str = llama_model_chat_template(model, /* name */ nullptr);
         if (str) {
-            default_template_src = str;
+            default_template_src  = str;
             has_explicit_template = true;
         }
         str = llama_model_chat_template(model, /* name */ "tool_use");
@@ -641,34 +618,40 @@ common_chat_templates_ptr common_chat_templates_init(
     // TODO @ngxson : this is a temporary hack to prevent chat template from throwing an error
     // Ref: https://github.com/ggml-org/llama.cpp/pull/15230#issuecomment-3173959633
     if (default_template_src.find("<|channel|>") != std::string::npos
-            // search for the error message and patch it
-            && default_template_src.find("in message.content or") != std::string::npos) {
+        // search for the error message and patch it
+        && default_template_src.find("in message.content or") != std::string::npos) {
         string_replace_all(default_template_src,
-            "{%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}",
-            "{%- if false %}");
+                           "{%- if \"<|channel|>analysis<|message|>\" in message.content or "
+                           "\"<|channel|>final<|message|>\" in message.content %}",
+                           "{%- if false %}");
     }
 
     // TODO @aldehir : this is a temporary fix, pending Minja changes
     // Ref: https://github.com/ggml-org/llama.cpp/pull/17713#issuecomment-3631342664
     if (default_template_src.find("[TOOL_CALLS]") != std::string::npos
-            // search for the error message and patch it
-            && default_template_src.find("if (message['content'] is none or") != std::string::npos) {
+        // search for the error message and patch it
+        && default_template_src.find("if (message['content'] is none or") != std::string::npos) {
         string_replace_all(default_template_src,
-            "{%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}",
-            "{%- if false %}");
+                           "{%- if (message['content'] is none or message['content'] == '' or "
+                           "message['content']|length == 0) and (message['tool_calls'] is not defined or "
+                           "message['tool_calls'] is none or message['tool_calls']|length == 0) %}",
+                           "{%- if false %}");
     }
 
     std::string token_bos = bos_token_override;
     std::string token_eos = eos_token_override;
-    bool add_bos = false;
-    bool add_eos = false;
+    bool        add_bos   = false;
+    bool        add_eos   = false;
     if (model) {
-        const auto * vocab = llama_model_get_vocab(model);
-        const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) {
+        const auto * vocab     = llama_model_get_vocab(model);
+        const auto   get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) {
             if (token == LLAMA_TOKEN_NULL) {
-                if (default_template_src.find(jinja_variable_name) != std::string::npos
-                    || template_tool_use_src.find(jinja_variable_name) != std::string::npos) {
-                    LOG_WRN("common_chat_templates_init: warning: vocab does not have a %s token, jinja template won't work as intended.\n", name);
+                if (default_template_src.find(jinja_variable_name) != std::string::npos ||
+                    template_tool_use_src.find(jinja_variable_name) != std::string::npos) {
+                    LOG_WRN(
+                        "common_chat_templates_init: warning: vocab does not have a %s token, jinja template won't "
+                          "work as intended.\n",
+                        name);
                 }
                 return std::string();
             }
@@ -676,13 +659,13 @@ common_chat_templates_ptr common_chat_templates_init(
         };
         token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token");
         token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token");
-        add_bos = llama_vocab_get_add_bos(vocab);
-        add_eos = llama_vocab_get_add_eos(vocab);
+        add_bos   = llama_vocab_get_add_bos(vocab);
+        add_eos   = llama_vocab_get_add_eos(vocab);
     }
     common_chat_templates_ptr tmpls(new common_chat_templates());
     tmpls->has_explicit_template = has_explicit_template;
-    tmpls->add_bos = add_bos;
-    tmpls->add_eos = add_eos;
+    tmpls->add_bos               = add_bos;
+    tmpls->add_eos               = add_eos;
     try {
         tmpls->template_default = std::make_unique<common_chat_template>(default_template_src, token_bos, token_eos);
     } catch (const std::exception & e) {
@@ -703,36 +686,12 @@ common_chat_templates_ptr common_chat_templates_init(
 
 const char * common_chat_format_name(common_chat_format format) {
     switch (format) {
-        case COMMON_CHAT_FORMAT_CONTENT_ONLY: return "Content-only";
-        case COMMON_CHAT_FORMAT_GENERIC: return "Generic";
-        case COMMON_CHAT_FORMAT_MISTRAL_NEMO: return "Mistral Nemo";
-        case COMMON_CHAT_FORMAT_MAGISTRAL: return "Magistral";
-        case COMMON_CHAT_FORMAT_LLAMA_3_X: return "Llama 3.x";
-        case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: return "Llama 3.x with builtin tools";
-        case COMMON_CHAT_FORMAT_DEEPSEEK_R1: return "DeepSeek R1";
-        case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return "FireFunction v2";
-        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2";
-        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1";
-        case COMMON_CHAT_FORMAT_DEEPSEEK_V3_1: return "DeepSeek V3.1";
-        case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro";
-        case COMMON_CHAT_FORMAT_COMMAND_R7B: return "Command R7B";
-        case COMMON_CHAT_FORMAT_GRANITE: return "Granite";
-        case COMMON_CHAT_FORMAT_GPT_OSS: return "GPT-OSS";
-        case COMMON_CHAT_FORMAT_SEED_OSS: return "Seed-OSS";
-        case COMMON_CHAT_FORMAT_NEMOTRON_V2: return "Nemotron V2";
-        case COMMON_CHAT_FORMAT_APERTUS: return "Apertus";
-        case COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS: return "LFM2 with JSON tools";
-        case COMMON_CHAT_FORMAT_MINIMAX_M2: return "MiniMax-M2";
-        case COMMON_CHAT_FORMAT_GLM_4_5: return "GLM 4.5";
-        case COMMON_CHAT_FORMAT_KIMI_K2: return "Kimi K2";
-        case COMMON_CHAT_FORMAT_QWEN3_CODER_XML: return "Qwen3 Coder";
-        case COMMON_CHAT_FORMAT_APRIEL_1_5: return "Apriel 1.5";
-        case COMMON_CHAT_FORMAT_XIAOMI_MIMO: return "Xiaomi MiMo";
-        case COMMON_CHAT_FORMAT_SOLAR_OPEN: return "Solar Open";
-        case COMMON_CHAT_FORMAT_EXAONE_MOE: return "EXAONE MoE";
-        case COMMON_CHAT_FORMAT_PEG_SIMPLE: return "peg-simple";
-        case COMMON_CHAT_FORMAT_PEG_NATIVE: return "peg-native";
-        case COMMON_CHAT_FORMAT_PEG_CONSTRUCTED: return "peg-constructed";
+        case COMMON_CHAT_FORMAT_CONTENT_ONLY:
+            return "Content-only";
+        case COMMON_CHAT_FORMAT_PEG_SIMPLE:
+            return "peg-simple";
+        case COMMON_CHAT_FORMAT_PEG_NATIVE:
+            return "peg-native";
         default:
             throw std::runtime_error("Unknown chat format");
     }
@@ -740,10 +699,14 @@ const char * common_chat_format_name(common_chat_format format) {
 
 const char * common_reasoning_format_name(common_reasoning_format format) {
     switch (format) {
-        case COMMON_REASONING_FORMAT_NONE:     return "none";
-        case COMMON_REASONING_FORMAT_AUTO:     return "auto";
-        case COMMON_REASONING_FORMAT_DEEPSEEK: return "deepseek";
-        case COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY: return "deepseek-legacy";
+        case COMMON_REASONING_FORMAT_NONE:
+            return "none";
+        case COMMON_REASONING_FORMAT_AUTO:
+            return "auto";
+        case COMMON_REASONING_FORMAT_DEEPSEEK:
+            return "deepseek";
+        case COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY:
+            return "deepseek-legacy";
         default:
             throw std::runtime_error("Unknown reasoning format");
     }
@@ -752,11 +715,14 @@ const char * common_reasoning_format_name(common_reasoning_format format) {
 common_reasoning_format common_reasoning_format_from_name(const std::string & format) {
     if (format == "none") {
         return COMMON_REASONING_FORMAT_NONE;
-    } else if (format == "auto") {
+    }
+    if (format == "auto") {
         return COMMON_REASONING_FORMAT_AUTO;
-    } else if (format == "deepseek") {
+    }
+    if (format == "deepseek") {
         return COMMON_REASONING_FORMAT_DEEPSEEK;
-    } else if (format == "deepseek-legacy") {
+    }
+    if (format == "deepseek-legacy") {
         return COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY;
     }
     throw std::runtime_error("Unknown reasoning format: " + format);
@@ -772,7 +738,8 @@ static void foreach_function(const json & tools, const std::function<void(const
     }
 }
 
-static void foreach_parameter(const json & function, const std::function<void(const std::string &, const json &, bool)> & fn) {
+static void foreach_parameter(const json &                                                         function,
+                              const std::function<void(const std::string &, const json &, bool)> & fn) {
     if (!function.contains("parameters") || !function.at("parameters").is_object()) {
         return;
     }
@@ -780,7 +747,7 @@ static void foreach_parameter(const json & function, const std::function<void(co
     if (!params.contains("properties") || !params.at("properties").is_object()) {
         return;
     }
-    const auto & props = params.at("properties");
+    const auto &          props = params.at("properties");
     std::set<std::string> required;
     if (params.contains("required") && params.at("required").is_array()) {
         params.at("required").get_to(required);
@@ -791,19 +758,19 @@ static void foreach_parameter(const json & function, const std::function<void(co
     }
 }
 
-static std::string apply(
+std::string common_chat_template_direct_apply(
     const common_chat_template & tmpl,
-    const struct templates_params & inputs,
-    const std::optional<json> & messages_override = std::nullopt,
-    const std::optional<json> & tools_override = std::nullopt,
-    const std::optional<json> & additional_context = std::nullopt)
-{
+    const autoparser::templates_params & inputs,
+    const std::optional<json> & messages_override,
+    const std::optional<json> & tools_override,
+    const std::optional<json> & additional_context) {
     jinja::context ctx(tmpl.source());
 
     nlohmann::ordered_json inp = nlohmann::ordered_json{
         {"messages", messages_override.has_value() ? *messages_override : inputs.messages},
         {"bos_token", tmpl.bos_token()},
         {"eos_token", tmpl.eos_token()},
+        {"enable_thinking", inputs.enable_thinking},
     };
     if (tools_override.has_value() || !inputs.tools.empty()) {
         inp["tools"] = tools_override.has_value() ? *tools_override : inputs.tools;
@@ -829,7 +796,7 @@ static std::string apply(
     // render
     jinja::runtime runtime(ctx);
     const jinja::value results = runtime.execute(tmpl.prog);
-    auto parts = runtime.gather_string_parts(results);
+    auto parts = jinja::runtime::gather_string_parts(results);
 
     std::string result = parts->as_string().str();
 
@@ -843,265 +810,8 @@ static std::string apply(
     return result;
 }
 
-static common_chat_params common_chat_params_init_generic(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-
-    auto tool_call_schemas = json::array();
-    foreach_function(inputs.tools, [&](const json & tool) {
-        const auto & function = tool.at("function");
-        auto tool_schema = json {
-            {"type", "object"},
-            {"properties", {
-                {"name", {
-                    {"type", "string"},
-                    {"const", function.at("name")},
-                }},
-                {"arguments", function.at("parameters")},
-            }},
-            {"required", json::array({"name", "arguments"})},
-        };
-        if (function.contains("description")) {
-            tool_schema["description"] = function.at("description");
-        }
-        if (inputs.parallel_tool_calls) {
-            tool_schema.at("properties")["id"] = {
-                {"type", "string"},
-                {"minLength", 4},
-            };
-            tool_schema.at("required").push_back("id");
-        }
-        tool_call_schemas.emplace_back(tool_schema);
-    });
-    const auto tool_call =
-        inputs.parallel_tool_calls
-            ? json {
-                {"type", "object"},
-                {"properties", {
-                    {"tool_calls", {
-                        {"type", "array"},
-                        {"items", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json {
-                            {"anyOf", tool_call_schemas},
-                        }},
-                        {"minItems", 1},
-                    }},
-                }},
-                {"required", json::array({"tool_calls"})},
-            }
-            : json {
-                {"type", "object"},
-                {"properties", {
-                    {"tool_call", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json {
-                        {"anyOf", tool_call_schemas},
-                    }},
-                }},
-                {"required", json::array({"tool_call"})},
-            };
-    const auto schema =
-        inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED
-            ? json {
-                {"anyOf", json::array({
-                    tool_call,
-                    {
-                        {"type", "object"},
-                        {"properties", {
-                            {"response", inputs.json_schema.is_null()
-                                ? json {{"type", "string"}}
-                                : inputs.json_schema
-                            },
-                        }},
-                        {"required", json::array({"response"})},
-                    },
-                })}
-            }
-            : tool_call;
-
-    data.grammar_lazy = false;
-    data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-        builder.add_schema("root", schema);
-    });
-
-    auto tweaked_messages = tmpl.add_system(
-        inputs.messages,
-        "Respond in JSON format, either with `tool_call` (a request to call tools) or with `response` reply to the user's request");
-
-    // ensure all messages has "content" field
-    for (auto & message : tweaked_messages) {
-        if (!message.contains("content") || message["content"].is_null()) {
-            message["content"] = "";
-        }
-    }
-
-    data.prompt = apply(tmpl, inputs, /* messages_override= */ tweaked_messages);
-    data.format = COMMON_CHAT_FORMAT_GENERIC;
-    return data;
-}
-
-static common_chat_params common_chat_params_init_mistral_nemo(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-    data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-    data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-        auto schemas = json::array();
-        foreach_function(inputs.tools, [&](const json & tool) {
-            const auto & function = tool.at("function");
-            schemas.push_back({
-                {"type", "object"},
-                {"properties", {
-                    // Important note: the model is probably trained to take a JSON stringified arguments value.
-                    // It's hard to constrain that for now (while reusing the JSON schema conversion), so we're just expecting a plain object.
-                    {"name", {
-                        {"type", "string"},
-                        {"const", function.at("name")},
-                    }},
-                    {"arguments", function.at("parameters")},
-                    {"id", {
-                        {"type", "string"},
-                        // Nemo's template expects a 9-character alphanumeric ID.
-                        {"pattern", "^[a-zA-Z0-9]{9}$"},
-                    }},
-                }},
-                {"required", json::array({"name", "arguments", "id"})},
-            });
-        });
-        auto schema = json {
-            {"type", "array"},
-            {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
-            {"minItems", 1},
-        };
-        if (!inputs.parallel_tool_calls) {
-            schema["maxItems"] = 1;
-        }
-        builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema));
-    });
-    data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"});
-    data.preserved_tokens = {
-        "[TOOL_CALLS]",
-    };
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_MISTRAL_NEMO;
-    return data;
-}
-
-
-// Case-insensitive find
-static size_t ifind_string(const std::string & haystack, const std::string & needle, size_t pos = 0) {
-    auto it = std::search(
-        haystack.begin() + pos, haystack.end(),
-        needle.begin(), needle.end(),
-        [](char a, char b) { return std::tolower(a) == std::tolower(b); }
-    );
-    return (it == haystack.end()) ? std::string::npos : std::distance(haystack.begin(), it);
-}
-
-static common_chat_params common_chat_params_init_lfm2(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-    const auto is_json_schema_provided = !inputs.json_schema.is_null();
-    const auto is_grammar_provided = !inputs.grammar.empty();
-    const auto are_tools_provided = inputs.tools.is_array() && !inputs.tools.empty();
-
-    // the logic requires potentially modifying the messages
-    auto tweaked_messages = inputs.messages;
-
-    auto replace_json_schema_marker = [](json & messages) -> bool {
-        static std::string marker1 = "force json schema.\n";
-        static std::string marker2 = "force json schema.";
-
-        if (messages.empty() || messages.at(0).at("role") != "system") {
-            return false;
-        }
-
-        std::string content = messages.at(0).at("content");
-
-        for (const auto & marker : {marker1, marker2}) {
-            const auto pos = ifind_string(content, marker);
-            if (pos != std::string::npos) {
-                content.replace(pos, marker.length(), "");
-                // inject modified content back into the messages
-                messages.at(0).at("content") = content;
-                return true;
-            }
-        }
-
-        return false;
-    };
-
-    // Lfm2 model does not natively work with json, but can generally understand the tools structure
-    //
-    // Example of the pytorch dialog structure:
-    //     <|startoftext|><|im_start|>system
-    //     List of tools: <|tool_list_start|>[{"name": "get_candidate_status", "description": "Retrieves the current status of a candidate in the recruitment process", "parameters": {"type": "object", "properties": {"candidate_id": {"type": "string", "description": "Unique identifier for the candidate"}}, "required": ["candidate_id"]}}]<|tool_list_end|><|im_end|>
-    //     <|im_start|>user
-    //     What is the current status of candidate ID 12345?<|im_end|>
-    //     <|im_start|>assistant
-    //     <|tool_call_start|>[get_candidate_status(candidate_id="12345")]<|tool_call_end|>Checking the current status of candidate ID 12345.<|im_end|>
-    //     <|im_start|>tool
-    //     <|tool_response_start|>{"candidate_id": "12345", "status": "Interview Scheduled", "position": "Clinical Research Associate", "date": "2023-11-20"}<|tool_response_end|><|im_end|>
-    //     <|im_start|>assistant
-    //     The candidate with ID 12345 is currently in the "Interview Scheduled" stage for the position of Clinical Research Associate, with an interview date set for 2023-11-20.<|im_end|>
-    //
-    // For the llama server compatibility with json tools semantic,
-    // the client can add "Follow json schema." line into the system message prompt to force the json output.
-    //
-    if (are_tools_provided && (is_json_schema_provided || is_grammar_provided)) {
-        // server/utils.hpp prohibits that branch for the custom grammar anyways
-        throw std::runtime_error("Tools call must not use \"json_schema\" or \"grammar\", use non-tool invocation if you want to use custom grammar");
-    } else if (are_tools_provided && replace_json_schema_marker(tweaked_messages)) {
-        LOG_INF("%s: Using tools to build a grammar\n", __func__);
-
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            auto schemas = json::array();
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                schemas.push_back({
-                    {"type", "object"},
-                    {"properties", {
-                        {"name", {
-                            {"type", "string"},
-                            {"const", function.at("name")},
-                        }},
-                        {"arguments", function.at("parameters")},
-                    }},
-                    {"required", json::array({"name", "arguments", "id"})},
-                });
-            });
-            auto schema = json {
-                {"type", "array"},
-                {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
-                {"minItems", 1},
-            };
-            if (!inputs.parallel_tool_calls) {
-                schema["maxItems"] = 1;
-            }
-
-            builder.add_rule("root", "\"<|tool_call_start|>\"" + builder.add_schema("tool_calls", schema) + "\"<|tool_call_end|>\"");
-        });
-        // model has no concept of tool selection mode choice,
-        // if the system prompt rendered correctly it will produce a tool call
-        // the grammar goes inside the tool call body
-        data.grammar_lazy = true;
-        data.grammar_triggers = {{COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, "\\s*<\\|tool_call_start\\|>\\s*\\["}};
-        data.preserved_tokens = {"<|tool_call_start|>", "<|tool_call_end|>"};
-        data.format = COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS;
-    } else if (are_tools_provided && (!is_json_schema_provided && !is_grammar_provided)) {
-        LOG_INF("%s: Using tools without json schema or grammar\n", __func__);
-        // output those tokens
-        data.preserved_tokens = {"<|tool_call_start|>", "<|tool_call_end|>"};
-    } else if (is_json_schema_provided) {
-        LOG_INF("%s: Using provided json schema to build a grammar\n", __func__);
-        data.grammar = json_schema_to_grammar(inputs.json_schema);
-    } else if (is_grammar_provided) {
-        LOG_INF("%s: Using provided grammar\n", __func__);
-        data.grammar = inputs.grammar;
-    } else {
-        LOG_INF("%s: Using content relying on the template\n", __func__);
-    }
-
-    data.prompt = apply(tmpl, inputs, /* messages_override= */ tweaked_messages);
-    LOG_DBG("%s: Prompt: %s\n", __func__, data.prompt.c_str());
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_ministral_3(const common_chat_template & tmpl, const struct templates_params & inputs) {
+static common_chat_params common_chat_params_init_ministral_3(const common_chat_template &    tmpl,
+                                                              const autoparser::templates_params & inputs) {
     common_chat_params data;
 
     // Build up messages to follow the format: https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512/blob/main/chat_template.jinja
@@ -1119,8 +829,8 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
         // If message contains `reasoning_content`, add it as a block of type `thinking`
         if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) {
             content.push_back({
-                {"type", "thinking"},
-                {"thinking", msg.at("reasoning_content").get<std::string>()},
+                { "type",     "thinking"                                     },
+                { "thinking", msg.at("reasoning_content").get<std::string>() },
             });
         }
 
@@ -1128,8 +838,8 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
         if (msg.contains("content")) {
             if (msg.at("content").is_string()) {
                 content.push_back({
-                    {"type", "text"},
-                    {"text", msg.at("content").get<std::string>()},
+                    { "type", "text"                               },
+                    { "text", msg.at("content").get<std::string>() },
                 });
             } else if (msg.at("content").is_array()) {
                 auto blocks = msg.at("content");
@@ -1137,32 +847,37 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
             }
         }
 
-        auto adjusted = msg;
+        auto adjusted       = msg;
         adjusted["content"] = content;
         adjusted.erase("reasoning_content");
         adjusted_messages.push_back(adjusted);
     }
 
-    auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
     auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
-    auto include_grammar = true;
-
-    data.prompt = apply(tmpl, inputs, /* messages_override = */ adjusted_messages);
-    data.format = COMMON_CHAT_FORMAT_PEG_NATIVE;
-    data.preserved_tokens = {
+    auto include_grammar   = true;
+
+    data.supports_thinking  = true;
+    data.thinking_start_tag = "[THINK]";
+    data.thinking_end_tag   = "[/THINK]";
+    data.prompt            = common_chat_template_direct_apply(tmpl, inputs, /* messages_override = */ adjusted_messages);
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.preserved_tokens  = {
         "[THINK]",
         "[/THINK]",
         "[TOOL_CALLS]",
         "[ARGS]",
     };
 
-    auto parser = build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) {
-        auto reasoning = extract_reasoning ? p.optional("[THINK]" + p.reasoning(p.until("[/THINK]")) + "[/THINK]") : p.eps();
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto reasoning =
+            extract_reasoning ? p.optional("[THINK]" + p.reasoning(p.until("[/THINK]")) + "[/THINK]") : p.eps();
 
         // Response format parser
         if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) {
             // Ministral wants to emit json surrounded by code fences
-            return reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) << "```";
+            return reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema))
+                             << "```";
         }
 
         // Tool call parser
@@ -1170,17 +885,16 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
             auto tool_choice = p.choice();
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                const auto & schema = function.at("parameters");
+                std::string  name     = function.at("name");
+                const auto & schema   = function.at("parameters");
 
-                tool_choice |= p.rule("tool-" + name,
-                    p.tool_open(p.tool_name(p.literal(name)) + "[ARGS]")
-                    + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))
-                );
+                tool_choice |=
+                    p.rule("tool-" + name, p.tool_open(p.tool_name(p.literal(name)) + "[ARGS]") +
+                                               p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)));
             });
 
-            auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
-            auto max_calls = inputs.parallel_tool_calls ? -1 : 1;
+            auto min_calls  = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
+            auto max_calls  = inputs.parallel_tool_calls ? -1 : 1;
             auto tool_calls = p.trigger_rule("tool-call", p.repeat("[TOOL_CALLS]" + tool_choice, min_calls, max_calls));
 
             return reasoning << p.content(p.until("[TOOL_CALLS]")) << tool_calls;
@@ -1199,1548 +913,495 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
         data.grammar = build_grammar([&](const common_grammar_builder & builder) {
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                auto schema = function.at("parameters");
+                auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
         data.grammar_triggers = {
-            {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"}
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]" }
         };
     }
 
     return data;
 }
 
-static common_chat_params common_chat_params_init_magistral(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_MAGISTRAL;
-    data.preserved_tokens = {
-        "[THINK]",
-        "[/THINK]",
-    };
-
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            auto schemas = json::array();
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                schemas.push_back({
-                    {"type", "object"},
-                    {"properties", {
-                        {"name", {
-                            {"type", "string"},
-                            {"const", function.at("name")},
-                        }},
-                        {"arguments", function.at("parameters")},
-                        {"id", {
-                            {"type", "string"},
-                            {"pattern", "^[a-zA-Z0-9]{9}$"},
-                        }},
-                    }},
-                    {"required", json::array({"name", "arguments", "id"})},
-                });
-            });
-            auto schema = json {
-                {"type", "array"},
-                {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
-                {"minItems", 1},
-            };
-            if (!inputs.parallel_tool_calls) {
-                schema["maxItems"] = 1;
-            }
-            builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema));
-        });
-        data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"});
-        data.preserved_tokens.push_back("[TOOL_CALLS]");
-    } else {
-        data.grammar_lazy = false;
-        if (!inputs.json_schema.is_null()) {
-            if (!inputs.grammar.empty()) {
-                throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both");
-            }
-            data.grammar = json_schema_to_grammar(inputs.json_schema);
-        } else {
-            data.grammar = inputs.grammar;
-        }
-    }
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_command_r7b(const common_chat_template & tmpl, const struct templates_params & inputs) {
+static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template &    tmpl,
+                                                          const autoparser::templates_params & inputs) {
     common_chat_params data;
 
+    // Copy reasoning to the "thinking" field as expected by the gpt-oss template
     auto adjusted_messages = json::array();
     for (const auto & msg : inputs.messages) {
         auto has_reasoning_content = msg.contains("reasoning_content") && msg.at("reasoning_content").is_string();
-        auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array();
+        auto has_tool_calls        = msg.contains("tool_calls") && msg.at("tool_calls").is_array();
+
         if (has_reasoning_content && has_tool_calls) {
-            auto adjusted_message = msg;
-            adjusted_message["tool_plan"] = msg.at("reasoning_content");
-            adjusted_message.erase("reasoning_content");
+            auto adjusted_message        = msg;
+            adjusted_message["thinking"] = msg.at("reasoning_content");
             adjusted_messages.push_back(adjusted_message);
         } else {
             adjusted_messages.push_back(msg);
         }
     }
-    data.prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages);
-    data.format = COMMON_CHAT_FORMAT_COMMAND_R7B;
-    if (string_ends_with(data.prompt, "<|START_THINKING|>")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "<|END_THINKING|>";
-        } else {
-            data.thinking_forced_open = true;
+
+    auto prompt = common_chat_template_direct_apply(tmpl, inputs, /* messages_override= */ adjusted_messages);
+
+    // Check if we need to replace the return token with end token during
+    // inference and without generation prompt. For more details see:
+    // https://github.com/ggml-org/llama.cpp/issues/15417
+    if (inputs.is_inference && !inputs.add_generation_prompt) {
+        static constexpr std::string_view return_token = "<|return|>";
+        static constexpr std::string_view end_token    = "<|end|>";
+        if (size_t pos = prompt.rfind(return_token); pos != std::string::npos) {
+            prompt.replace(pos, return_token.length(), end_token);
         }
-    } else if (!inputs.enable_thinking && string_ends_with(data.prompt, "<|CHATBOT_TOKEN|>")) {
-        data.prompt += "<|START_THINKING|><|END_THINKING|>";
     }
 
-    data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-    data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-        auto schemas = json::array();
-        foreach_function(inputs.tools, [&](const json & tool) {
-            const auto & function = tool.at("function");
-            schemas.push_back({
-                {"type", "object"},
-                {"properties", {
-                    {"tool_call_id", {
-                        {"type", "string"},
-                        // Command-R's template expects an integer string.
-                        {"pattern", "^[0-9]{1,10}$"},
-                    }},
-                    {"tool_name", {
-                        {"type", "string"},
-                        {"const", function.at("name")},
-                    }},
-                    {"parameters", function.at("parameters")},
-                }},
-                {"required", json::array({"tool_call_id", "tool_name", "parameters"})},
-            });
-        });
-        auto schema = json {
-            {"type", "array"},
-            {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
-            {"minItems", 1},
-        };
-        if (!inputs.parallel_tool_calls) {
-            schema["maxItems"] = 1;
-        }
-        builder.add_rule("root",
-            std::string(data.thinking_forced_open ? "( \"<|END_THINKING|>\" space )? " : "") +
-            "\"<|START_ACTION|>\" " + builder.add_schema("tool_calls", schema) + " \"<|END_ACTION|>\"");
-    });
-    data.grammar_triggers.push_back({
-        COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-        // If thinking_forced_open, then we capture the </think> tag in the grammar,
-        // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
-        std::string(data.thinking_forced_open ? "[\\s\\S]*?(<\\|END_THINKING\\|>\\s*)" : "(?:<\\|START_THINKING\\|>[\\s\\S]*?<\\|END_THINKING\\|>\\s*)?") +
-            "(<\\|START_ACTION\\|>)[\\s\\S]*"
-    });
+    data.prompt            = prompt;
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking = true;
+
+    // These special tokens are required to parse properly, so we include them
+    // even if parse_tool_calls is false.
     data.preserved_tokens = {
-        "<|START_ACTION|>",
-        "<|END_ACTION|>",
-        "<|START_RESPONSE|>",
-        "<|END_RESPONSE|>",
-        "<|START_THINKING|>",
-        "<|END_THINKING|>",
+        "<|channel|>", "<|constrain|>", "<|message|>", "<|start|>", "<|end|>",
     };
-    return data;
-}
-
-static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector<std::string> & expected_properties) {
-    if (!parameters.is_object() || !parameters.contains("type") || parameters.at("type") != "object" || !parameters.contains("properties") || !parameters.contains("required")) {
-        throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties");
-    }
-    const auto & parameters_properties = parameters.at("properties");
-    const auto & parameters_required = parameters.at("required");
-    for (const auto & prop : expected_properties) {
-        if (!parameters_properties.contains(prop)) {
-            throw std::runtime_error("Parameters of tool " + name + " is missing property: " + prop); // NOLINT
-        }
-        if (std::find(parameters_required.begin(), parameters_required.end(), json(prop)) == parameters_required.end()) {
-            throw std::runtime_error("Parameters of tool " + name + " must have property marked as required: " + prop); // NOLINT
-        }
-    }
-    if (parameters_properties.size() != expected_properties.size()) {
-        throw std::runtime_error("Parameters of tool " + name + " must only have these properties:" + string_join(expected_properties, ", "));
-    }
-}
 
-static common_chat_params common_chat_params_init_llama_3_x(const common_chat_template & tmpl, const struct templates_params & inputs, bool allow_python_tag_builtin_tools) {
-    auto builtin_tools = json::array();
-    common_chat_params data;
-    if (!inputs.tools.is_null()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-
-            auto handle_builtin_tool = [&](const std::string & name, const json & parameters) {
-                if (name == "wolfram_alpha" || name == "web_search" || name == "brave_search") {
-                    // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py
-                    // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py
-                    expect_tool_parameters(name, parameters, {"query"});
-                } else if (name == "python" || name == "code_interpreter") {
-                    // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/inline/tool_runtime/code_interpreter/code_interpreter.py
-                    expect_tool_parameters(name, parameters, {"code"});
-                } else {
-                    return false;
-                }
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar   = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && has_tools;
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        const std::string END                = "<|end|>";
+        const std::string START              = "<|start|>";
+        const std::string MESSAGE            = "<|message|>";
+        const std::string CHANNEL            = "<|channel|>";
+        const std::string CONSTRAIN          = "<|constrain|>";
+        const std::string START_ASSISTANT    = START + "assistant";
+        const std::string CHANNEL_ANALYSIS   = CHANNEL + "analysis";
+        const std::string CHANNEL_COMMENTARY = CHANNEL + "commentary";
+        const std::string CHANNEL_FINAL      = CHANNEL + "final";
+
+        auto the_end = END | p.end();
+
+        const std::string analysis_header  = CHANNEL_ANALYSIS + MESSAGE;
+        auto              segment_content  = p.until(END);
+        auto              analysis_segment = extract_reasoning ?
+                                                 p.literal(analysis_header) + p.reasoning(segment_content) + p.until(END) + the_end :
+                                                 p.content(analysis_header + p.until(END) + the_end);
+
+        auto channel_header_content = p.until_one_of({ " to=functions.", MESSAGE });
+        auto content_header         = p.choice({ p.literal(CHANNEL_COMMENTARY), p.literal(CHANNEL_FINAL) });
+        auto content_segment        = p.rule("content-segment", content_header + channel_header_content + MESSAGE +
+                                                                    p.content(segment_content) + the_end);
 
-                std::vector<std::string> kvs;
-                for (const auto & [key, value] : parameters.at("properties").items()) {
-                    kvs.push_back("\"" + key + "=\" " + builder.add_schema(name + "-args-" + key, value)); // NOLINT
-                }
+        if (!inputs.json_schema.is_null()) {
+            auto final_header = p.literal(CHANNEL_FINAL);
+            auto constraint   = p.optional(p.space() + p.literal(CONSTRAIN) + channel_header_content);
+            return p.optional(analysis_segment) + final_header + constraint + MESSAGE +
+                   p.content(p.schema(p.json(), "response-format", inputs.json_schema));
+        }
 
-                tool_rules.push_back(
-                    builder.add_rule(
-                        name + "-call",
-                        "\"<|python_tag|>" + name + ".call(\" " + string_join(kvs, " \", \" ") + " \")\""));
-                builtin_tools.push_back(name);
+        auto segment  = p.optional(START_ASSISTANT + p.space()) + p.choice({ content_segment, analysis_segment });
+        auto contents = p.optional(segment + p.repeat(p.optional(p.space()) + segment, 0, -1)) + p.end();
 
-                return true;
-            };
+        // Tool call parser
+        if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
+            auto tool_choice = p.choice();
 
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
+                std::string  name     = function.at("name");
+                const auto & params   = function.at("parameters");
 
-                // https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/tool_runtime
-                if (allow_python_tag_builtin_tools) {
-                    handle_builtin_tool(name, parameters);
-                }
-                tool_rules.push_back(
-                    builder.add_rule(
-                        name + "-call",
-                        "\"{\" space "
-                        "( \"\\\"type\\\"\"       space \":\" space \"\\\"function\\\"\"     space \",\" space )? "
-                        "  \"\\\"name\\\"\"       space \":\" space \"\\\"" + name + "\\\"\" space \",\" space "
-                        "  \"\\\"parameters\\\"\" space \":\" space " + builder.add_schema(name + "-args", parameters) + " "
-                        "\"}\" space"));
-            });
-            // Small models may hallucinate function names so we match anything (*at the start*) that looks like the JSON of a function call, regardless of the name.
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-                "(\\{\\s*(?:\"type\"\\s*:\\s*\"function\"\\s*,\\s*)?\"name\"\\s*:\\s*\")[\\s\\S]*", // + name + "\"[\\s\\S]*",
+                // Tool call can appear as:
+                // 1. In role header: " to=functions.NAME<|channel|>..."
+                // 2. In channel: "<|channel|>(analysis|commentary) to=functions.NAME..."
+                auto func_name = p.literal(" to=functions.") + p.tool_name(p.literal(name));
+
+                auto channel    = p.literal(CHANNEL_COMMENTARY) | p.literal(CHANNEL_ANALYSIS);
+                auto constraint = p.space() + p.optional(p.literal(CONSTRAIN) + channel_header_content);
+                auto args       = p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", params));
+
+                // Pattern 1: recipient in role header
+                // " to=functions.NAME<|channel|>(analysis|commentary)[constraint]<|message|>ARGS"
+                auto tool_in_role = p.tool(p.tool_open(func_name + channel) + constraint + MESSAGE + args);
+
+                // Pattern 2: recipient in channel header
+                // "<|channel|>(analysis|commentary) to=functions.NAME[constraint]<|message|>ARGS"
+                auto tool_in_channel = p.tool(channel + p.tool_open(func_name + constraint + MESSAGE) + args);
+
+                tool_choice |= tool_in_role | tool_in_channel;
             });
-            if (!builtin_tools.empty()) {
-                data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|python_tag|>"});
-                data.preserved_tokens.push_back("<|python_tag|>");
-            }
-            // Allow a few empty lines on top of the usual constrained json schema space rule.
-            builder.add_rule("root", string_join(tool_rules, " | "));
-            data.additional_stops.push_back("<|eom_id|>");
-        });
-        data.format = allow_python_tag_builtin_tools && !builtin_tools.empty()
-            ? COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS
-            : COMMON_CHAT_FORMAT_LLAMA_3_X;
-    } else {
-        data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    }
-    data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override= */ std::nullopt, json {
-        {"date_string", format_time(inputs.now, "%d %b %Y")},
-        {"tools_in_user_message", false},
-        {"builtin_tools", builtin_tools},
-    });
-    return data;
-}
 
-static common_chat_params common_chat_params_init_nemotron_v2(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
+            auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
+            auto max_calls = inputs.parallel_tool_calls ? -1 : 1;
 
-    // Generate the prompt using the apply() function with the template
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_NEMOTRON_V2;
+            auto role_start = p.optional(p.space() + p.literal(START_ASSISTANT));
+            auto tool_call  = p.rule("tool-call", p.repeat(role_start + tool_choice, min_calls, max_calls) + p.end());
 
-    // Handle thinking tags appropriately based on inputs.enable_thinking
-    if (string_ends_with(data.prompt, "<think>\n")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
+            return p.choice({ p.trigger_rule("single-tool", tool_call), p.trigger_rule("tools", p.one_or_more(segment) + tool_call) });
         }
-    }
 
-    // When tools are present, build grammar for the <TOOLCALL> format, similar to CommandR, but without tool call ID
-    if (!inputs.tools.is_null() && inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = true;
+        return contents;
+    });
+
+    data.parser = parser.save();
+
+    if (include_grammar) {
+        data.grammar_lazy = has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
         data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
-            auto schemas = json::array();
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                schemas.push_back({
-                    { "type",       "object"                                                   },
-                    { "properties",
-                        {
-                            { "name",
-                            {
-                                { "type", "string" },
-                                { "const", function.at("name") },
-                            } },
-                            { "arguments", function.at("parameters") },
-                        }                                                                        },
-                    { "required",   json::array({ "name", "arguments" }) },
-                });
+                auto         schema   = function.at("parameters");
+                builder.resolve_refs(schema);
             });
-            auto schema = json{
-                        { "type",     "array"                                                         },
-                        { "items",    schemas.size() == 1 ? schemas[0] : json{ { "anyOf", schemas } } },
-                        { "minItems", 1                                                               },
-            };
-            if (!inputs.parallel_tool_calls) {
-                schema["maxItems"] = 1;
-            }
-            builder.add_rule("root",
-                                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
-                                    "\"<TOOLCALL>\" " + builder.add_schema("tool_calls", schema) +
-                                    " \"</TOOLCALL>\"");
+            parser.build_grammar(builder, data.grammar_lazy);
         });
-        data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-            // If thinking_forced_open, then we capture the </think> tag in the grammar,
-            // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
-            std::string(data.thinking_forced_open ?
-                            "[\\s\\S]*?(</think>\\s*)" :
-                            "(?:<think>[\\s\\S]*?</think>\\s*)?") +
-                "(<TOOLCALL>)[\\s\\S]*" });
+
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "^(?:<\\|start\\|>assistant\\s*)?(\\s+to=functions)"               },
+            { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "(?:<\\|end\\|>)(?:<\\|start\\|>assistant\\s*)?(\\s+to=functions)" },
+            { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
+             "(?:<\\|start\\|>assistant\\s*)?(<\\|channel\\|>(?:commentary|analysis)\\s+to=functions)"                }
+        };
     }
+
     return data;
 }
 
-static common_chat_params common_chat_params_init_nemotron_v3(const common_chat_template & tmpl, const struct templates_params & inputs) {
+// Functionary v3.2 - uses recipient-based format: >>>recipient\n{content}
+static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template &    tmpl,
+                                                                   const autoparser::templates_params & inputs) {
     common_chat_params data;
 
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_PEG_CONSTRUCTED;
-
-    // Handle thinking tags appropriately based on inputs.enable_thinking
-    if (string_ends_with(data.prompt, "<think>\n")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-
+    data.prompt           = common_chat_template_direct_apply(tmpl, inputs);
+    data.format           = COMMON_CHAT_FORMAT_PEG_NATIVE;
     data.preserved_tokens = {
-        "<think>",
-        "</think>",
-        "<tool_call>",
-        "</tool_call>",
+        ">>>all",
     };
 
-    auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();
-    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
-    auto include_grammar = true;
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
 
-    auto parser = build_chat_peg_constructed_parser([&](auto & p) {
-        auto reasoning = p.eps();
-        if (inputs.enable_thinking && extract_reasoning) {
-            auto reasoning_content = p.reasoning(p.until("</think>")) + ("</think>" | p.end());
-            if (data.thinking_forced_open) {
-                reasoning = reasoning_content;
-            }
-        }
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        // Functionary v3.2 format:
+        // - Normal content: >>>all\n{content}
+        // - Tool calls: >>>function_name\n{json_args}
+        // Generation prompt ends with ">>>" so model outputs recipient immediately
 
-        // Response format parser
-        if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) {
-            return reasoning << p.content(p.schema(p.json(), "response-format", inputs.json_schema));
+        // Build content parser for >>>all\n{content}
+        // When tools are present, content stops before the next ">>>" (tool call)
+        // When no tools, content goes until end
+        auto content_until_tool = p.literal(">>>all\n") + p.content(p.until(">>>"));
+        auto content_until_end  = p.literal(">>>all\n") + p.content(p.rest());
+
+        // If no tools or tool_choice is NONE, just parse content
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            // When no tools, just match the prefix and capture everything after
+            return content_until_end + p.end();
         }
 
-        // Tool call parser
-        if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
-            auto tool_choice = p.choice();
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
+        // Build tool call parsers for each available function
+        auto tool_choice = p.choice();
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const auto & function = tool.at("function");
+            std::string  name     = function.at("name");
+            const auto & schema   = function.at("parameters");
 
-                auto schema_info = common_schema_info();
-                schema_info.resolve_refs(parameters);
+            // Tool format: >>>function_name\n{json_args}
+            auto tool_parser = p.tool(
+                p.tool_open(p.literal(">>>") + p.tool_name(p.literal(name)) + p.literal("\n")) +
+                p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))
+            );
 
-                auto tool_open = "<function=" + p.tool_name(p.literal(name)) + ">\n";
-                auto tool_close = p.literal("</function>\n");
-                auto args = p.sequence();
-                auto arg_string = p.rule("xml-arg-string", p.until_one_of({
-                    "\n</parameter>",
-                    "\n<parameter=",
-                    "\n</function>"
-                }));
+            tool_choice |= p.rule("tool-" + name, tool_parser);
+        });
 
-                foreach_parameter(function, [&](const auto & param_name, const json & param_schema, bool is_required) {
-                    auto rule_name = "tool-" + name + "-arg-" + param_name;
+        auto content_only = content_until_end;
+        auto tools_only = p.trigger_rule("tools", p.one_or_more(tool_choice));
+        auto content_and_tools = content_until_tool + tools_only;
 
-                    auto arg_open = "<parameter=" + p.tool_arg_name(p.literal(param_name)) + ">\n";
-                    auto arg_close = p.literal("</parameter>\n");
-                    auto arg_value = p.eps();
-
-                    if (schema_info.resolves_to_string(param_schema)) {
-                        arg_value = p.tool_arg_string_value(arg_string) + "\n";
-                    } else {
-                        arg_value = p.tool_arg_json_value(p.schema(p.json(), rule_name + "-schema", param_schema));
-                    }
-
-                    // Model may or my not close with </parameter>
-                    auto arg_rule = p.rule(rule_name, p.tool_arg_open(arg_open) + arg_value + p.optional(p.tool_arg_close(arg_close)));
-                    args += p.repeat(arg_rule, /* min = */ is_required ? 1 : 0, /* max = */ 1);
-                });
-
-                tool_choice |= p.rule("tool-" + name, p.tool_open(tool_open) + args + p.tool_close(tool_close));
-            });
-
-            auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
-            auto max_calls = inputs.parallel_tool_calls ? -1 : 1;
-            auto tool_call = p.rule("tool-call", "<tool_call>\n" + tool_choice + "</tool_call>" + p.space());
-            auto tool_calls = p.trigger_rule("tool-call-root", p.repeat(tool_call, /* min = */ min_calls, /* max = */ max_calls));
-
-            return reasoning << p.content(p.until("<tool_call>")) << tool_calls;
+        if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) {
+            if (inputs.parallel_tool_calls) {
+                return p.choice({ content_and_tools, tools_only }) + p.end();
+            }
+            return p.choice({ content_until_tool + tool_choice, tools_only }) + p.end();
         }
-
-        // Content only parser
-        include_grammar = false;
-        return reasoning << p.content(p.rest());
+        if (inputs.parallel_tool_calls) {
+            return p.choice({ content_and_tools, content_only, tools_only }) + p.end();
+        }
+        auto content_and_tool = content_until_tool + tool_choice;
+        return p.choice({ content_and_tool, content_only, tool_choice }) + p.end();
     });
 
     data.parser = parser.save();
 
     if (include_grammar) {
-        data.grammar_lazy = has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
+        data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
 
         data.grammar = build_grammar([&](const common_grammar_builder & builder) {
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                auto schema = function.at("parameters");
+                auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
+        // Grammar trigger for when the model starts outputting a tool call
+        // (after the initial ">>>" in the generation prompt but recipient other than "all")
         data.grammar_triggers = {
-            {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<tool_call>"}
-        };
-    }
-
-    return data;
-}
-
-
-static common_chat_params common_chat_params_init_apertus(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-
-    // Generate the prompt using the apply() function with the template
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_APERTUS;
-
-    // Handle thinking tags appropriately based on inputs.enable_thinking
-    if (string_ends_with(data.prompt, "<|inner_prefix|>")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "<|inner_suffix|>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-
-    // When tools are present, build grammar for the <|tools_prefix|> format
-    if (!inputs.tools.is_null() && inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = true;
-        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
-            auto schemas = json::array();
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                schemas.push_back({
-                    { "type",       "object"                                                   },
-                    { "properties",
-                        {
-                            { function.at("name"), function.at("parameters") }
-                        }                                                                        },
-                    { "required",   json::array({ function.at("name") }) },
-                });
-            });
-            auto schema = json{
-                        { "type",     "array"                                                         },
-                        { "items",    schemas.size() == 1 ? schemas[0] : json{ { "anyOf", schemas } } },
-                        { "minItems", 1                                                               },
-            };
-            if (!inputs.parallel_tool_calls) {
-                schema["maxItems"] = 1;
-            }
-            builder.add_rule("root",
-                                std::string(data.thinking_forced_open ? "( \"<|inner_suffix|>\" space )? " : "") +
-                                    "\"<|tools_prefix|>\"" + builder.add_schema("tool_calls", schema) + "\"<|tools_suffix|>\"");
-                            });
-        data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-            // If thinking_forced_open, then we capture the <|inner_suffix|> tag in the grammar,
-            // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
-            std::string(data.thinking_forced_open ?
-                            "[\\s\\S]*?(<\\|inner_suffix\\|>\\s*)" :
-                            "(?:<\\|inner_prefix\\|>[\\s\\S]*?<\\|inner_suffix\\|>\\s*)?") +
-                "(<\\|tools_prefix\\|>)[\\s\\S]*" });
-        data.preserved_tokens = {
-            "<|system_start|>",
-            "<|system_end|>",
-            "<|developer_start|>",
-            "<|developer_end|>",
-            "<|user_start|>",
-            "<|user_end|>",
-            "<|assistant_start|>",
-            "<|assistant_end|>",
-            "<|inner_prefix|>",
-            "<|inner_suffix|>",
-            "<|tools_prefix|>",
-            "<|tools_suffix|>",
+            { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, ">>>(?!all)" }
         };
     }
-    return data;
-}
 
-static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-    auto prompt = apply(tmpl, inputs);
-
-    // Hacks to fix the official (broken) prompt.
-    // It is advisable to use --chat-template-file models/templates/llama-cpp-deepseek-r1.jinja instead,
-    // until the official template is fixed.
-    if (tmpl.source().find("{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}") != std::string::npos) {
-        // Don't leave the chat dangling after tool results
-        if (string_ends_with(prompt, "<｜tool▁outputs▁end｜>")) {
-            prompt += "<｜end▁of▁sentence｜>";
-            if (inputs.add_generation_prompt) {
-                prompt += "<｜Assistant｜>";
-            }
-        }
-        // Fix up tool call delta example added by Minja
-        prompt = std::regex_replace(
-            prompt,
-            std::regex("(<｜tool▁call▁end｜>)[\\s\\r\\n]*(<｜tool▁outputs▁begin｜>|<｜User｜>)"),
-            "$1<｜tool▁calls▁end｜><｜end▁of▁sentence｜>$2");
-    }
-    data.prompt = prompt;
-    data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1;
-    if (string_ends_with(data.prompt, "<think>\n")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null();
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-                tool_rules.push_back(builder.add_rule(name + "-call",
-                    "( \"<｜tool▁call▁begin｜>\" )? \"function<｜tool▁sep｜>" + name + "\\n"
-                    "```json\\n\" " + builder.add_schema(name + "-args", parameters) + " "
-                    "\"```<｜tool▁call▁end｜>\""));
-            });
-            // Distill Qwen 7B & 32B models seem confused re/ syntax of their tool call opening tag,
-            // so we accept common variants (then it's all constrained)
-            builder.add_rule("root",
-                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
-                "( \"<｜tool▁calls▁begin｜>\" | \"<｜tool_calls_begin｜>\" | \"<｜tool calls begin｜>\" | \"<｜tool\\\\_calls\\\\_begin｜>\" | \"<｜tool▁calls｜>\" ) "
-                "(" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " "
-                "\"<｜tool▁calls▁end｜>\""
-                " space");
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-                // If thinking_forced_open, then we capture the </think> tag in the grammar,
-                // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
-                std::string(data.thinking_forced_open ? "[\\s\\S]*?(</think>\\s*)" : "(?:<think>[\\s\\S]*?</think>\\s*)?") +
-                    "(<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)[\\s\\S]*"
-            });
-            data.preserved_tokens = {
-                "<think>",
-                "</think>",
-                "<｜tool▁calls▁begin｜>",
-                "<｜tool▁call▁begin｜>",
-                "<｜tool▁sep｜>",
-                "<｜tool▁call▁end｜>",
-                "<｜tool▁calls▁end｜",
-            };
-        });
-    }
     return data;
 }
 
-static common_chat_params common_chat_params_init_deepseek_v3_1(const common_chat_template & tmpl, const struct templates_params & inputs) {
+// Kimi K2 Thinking - uses unique tool call ID format: functions.<name>:<index>
+// The ID contains both the function name and an incrementing counter
+static common_chat_params common_chat_params_init_kimi_k2(const common_chat_template &    tmpl,
+                                                          const autoparser::templates_params & inputs) {
     common_chat_params data;
 
-    // Pass thinking context for DeepSeek V3.1 template
-    json additional_context = {
-        {"thinking", inputs.enable_thinking},
-    };
-
-    auto prompt = apply(tmpl, inputs,
-                       /* messages_override= */ inputs.messages,
-                       /* tools_override= */ std::nullopt,
-                       additional_context);
-    data.prompt = prompt;
-    data.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-    if (string_ends_with(data.prompt, "<think>")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null();
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-                tool_rules.push_back(builder.add_rule(name + "-call",
-                    "( \"<｜tool▁call▁begin｜>\" )? \"" + name + "<｜tool▁sep｜>"
-                    "\" " + builder.add_schema(name + "-args", parameters) + " "
-                    "\"<｜tool▁call▁end｜>\""));
-            });
-            // Distill Qwen 7B & 32B models seem confused re/ syntax of their tool call opening tag,
-            // so we accept common variants (then it's all constrained)
-            builder.add_rule("root",
-                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
-                "( \"<｜tool▁calls▁begin｜>\" | \"<｜tool_calls_begin｜>\" | \"<｜tool calls begin｜>\" | \"<｜tool\\\\_calls\\\\_begin｜>\" | \"<｜tool▁calls｜>\" ) "
-                "(" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " "
-                "\"<｜tool▁calls▁end｜>\""
-                " space");
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-                // If thinking_forced_open, then we capture the </think> tag in the grammar,
-                // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
-                std::string(data.thinking_forced_open ? "[\\s\\S]*?(</think>\\s*)" : "(?:<think>[\\s\\S]*?</think>\\s*)?") +
-                    "(<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)[\\s\\S]*"
-            });
-            data.preserved_tokens = {
-                "<think>",
-                "</think>",
-                "<｜tool▁calls▁begin｜>",
-                "<｜tool▁call▁begin｜>",
-                "<｜tool▁sep｜>",
-                "<｜tool▁call▁end｜>",
-                "<｜tool▁calls▁end｜>",
-            };
-        });
-    }
-    return data;
-}
-
-static common_chat_params common_chat_params_init_minimax_m2(const common_chat_template & tmpl, const struct templates_params & params) {
-    common_chat_params data;
-    data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-
-    data.prompt = apply(tmpl, params);
-    data.format = COMMON_CHAT_FORMAT_MINIMAX_M2;
-
-    // Handle thinking tags based on prompt ending
-    if (string_ends_with(data.prompt, "<think>\n")) {
-        if (!params.enable_thinking) {
-            // Close the thinking tag immediately if thinking is disabled
-            data.prompt += "</think>\n\n";
-        } else {
-            // Mark thinking as forced open (template started with <think>)
-            data.thinking_forced_open = true;
-        }
-    }
-
-    // Preserve MiniMax-M2 special tokens
-    data.preserved_tokens = {
-        "<think>",
-        "</think>",
-        "<minimax:tool_call>",
-        "</minimax:tool_call>",
-    };
-
-    // build grammar for tool call
-    static const xml_tool_call_format form {
-        /* form.scope_start = */ "<minimax:tool_call>\n",
-        /* form.tool_start  = */ "<invoke name=\"",
-        /* form.tool_sep    = */ "\">\n",
-        /* form.key_start   = */ "<parameter name=\"",
-        /* form.key_val_sep = */ "\">",
-        /* form.val_end     = */ "</parameter>\n",
-        /* form.tool_end    = */ "</invoke>\n",
-        /* form.scope_end   = */ "</minimax:tool_call>",
-    };
-    build_grammar_xml_tool_call(data, params.tools, form);
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_qwen3_coder_xml(const common_chat_template & tmpl, const struct templates_params & params) {
-    common_chat_params data;
-    data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-
-    data.prompt = apply(tmpl, params);
-    data.format = COMMON_CHAT_FORMAT_QWEN3_CODER_XML;
-
-    data.preserved_tokens = {
-        "<tool_call>",
-        "</tool_call>",
-        "<function=",
-        "</function>",
-        "<parameter=",
-        "</parameter>",
-    };
-
-    // build grammar for tool call
-    static const xml_tool_call_format form {
-        /* form.scope_start = */ "<tool_call>\n",
-        /* form.tool_start  = */ "<function=",
-        /* form.tool_sep    = */ ">\n",
-        /* form.key_start   = */ "<parameter=",
-        /* form.key_val_sep = */ ">\n",
-        /* form.val_end     = */ "\n</parameter>\n",
-        /* form.tool_end    = */ "</function>\n",
-        /* form.scope_end   = */ "</tool_call>",
-    };
-    build_grammar_xml_tool_call(data, params.tools, form);
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_kimi_k2(const common_chat_template & tmpl, const struct templates_params & params) {
-    common_chat_params data;
-    data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-
-    data.prompt = apply(tmpl, params);
-    data.format = COMMON_CHAT_FORMAT_KIMI_K2;
-
-    data.preserved_tokens = {
-        "<think>",
-        "</think>",
+    data.prompt             = common_chat_template_direct_apply(tmpl, inputs);
+    data.format             = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking  = true;
+    data.thinking_start_tag = "<think>";
+    data.thinking_end_tag   = "</think>";
+    data.preserved_tokens  = {
         "<|tool_calls_section_begin|>",
+        "<|tool_calls_section_end|>",
         "<|tool_call_begin|>",
         "<|tool_call_argument_begin|>",
         "<|tool_call_end|>",
-        "<|tool_calls_section_end|>",
-        "<|im_end|>",
-        "<|im_system|>",
-        "<|im_middle|>",
-    };
-
-    data.additional_stops.insert(data.additional_stops.end(), {
-        "<|im_end|>",
-        "<|im_middle|>"
-    });
-    // build grammar for tool call
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "<|tool_calls_section_begin|>";
-        form.tool_start  = "<|tool_call_begin|>";
-        form.tool_sep    = "<|tool_call_argument_begin|>{";
-        form.key_start   = "\"";
-        form.key_val_sep = "\": ";
-        form.val_end     = ", ";
-        form.tool_end    = "}<|tool_call_end|>";
-        form.scope_end   = "<|tool_calls_section_end|>";
-        form.raw_argval  = false;
-        form.last_val_end = "";
-        return form;
-    })();
-    build_grammar_xml_tool_call(data, params.tools, form);
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_apriel_1_5(const common_chat_template & tmpl, const struct templates_params & params) {
-    common_chat_params data;
-    data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-
-    data.prompt = apply(tmpl, params);
-    data.format = COMMON_CHAT_FORMAT_APRIEL_1_5;
-
-    data.preserved_tokens = {
-        "<thinking>",
-        "</thinking>",
-        "<tool_calls>",
-        "</tool_calls>",
-    };
-
-    // build grammar for tool call
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "<tool_calls>[";
-        form.tool_start  = "{\"name\": \"";
-        form.tool_sep    = "\", \"arguments\": {";
-        form.key_start   = "\"";
-        form.key_val_sep = "\": ";
-        form.val_end     = ", ";
-        form.tool_end    = "}, ";
-        form.scope_end   = "]</tool_calls>";
-        form.raw_argval  = false;
-        form.last_val_end = "";
-        form.last_tool_end = "}";
-        return form;
-    })();
-    build_grammar_xml_tool_call(data, params.tools, form);
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_xiaomi_mimo(const common_chat_template & tmpl, const struct templates_params & params) {
-    common_chat_params data;
-    data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-
-    data.prompt = apply(tmpl, params);
-    data.format = COMMON_CHAT_FORMAT_XIAOMI_MIMO;
-
-    data.preserved_tokens = {
-        "<tool_call>",
-        "</tool_call>",
-    };
-
-    // build grammar for tool call
-    static const xml_tool_call_format form = ([]() {
-        xml_tool_call_format form {};
-        form.scope_start = "\n";
-        form.tool_start  = "<tool_call>\n{\"name\": \"";
-        form.tool_sep    = "\", \"arguments\": {";
-        form.key_start   = "\"";
-        form.key_val_sep = "\": ";
-        form.val_end     = ", ";
-        form.tool_end    = "}\n</tool_call>";
-        form.scope_end   = "";
-        form.raw_argval  = false;
-        form.last_val_end = "";
-        return form;
-    })();
-    build_grammar_xml_tool_call(data, params.tools, form);
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-
-    // Copy reasoning to the "thinking" field as expected by the gpt-oss template
-    auto adjusted_messages = json::array();
-    for (const auto & msg : inputs.messages) {
-        auto has_reasoning_content = msg.contains("reasoning_content") && msg.at("reasoning_content").is_string();
-        auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array();
-
-        if (has_reasoning_content && has_tool_calls) {
-            auto adjusted_message = msg;
-            adjusted_message["thinking"] = msg.at("reasoning_content");
-            adjusted_messages.push_back(adjusted_message);
-        } else {
-            adjusted_messages.push_back(msg);
-        }
-    }
-
-    auto prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages);
-
-    // Check if we need to replace the return token with end token during
-    // inference and without generation prompt. For more details see:
-    // https://github.com/ggml-org/llama.cpp/issues/15417
-    if (inputs.is_inference && !inputs.add_generation_prompt) {
-        static constexpr std::string_view return_token = "<|return|>";
-        static constexpr std::string_view end_token    = "<|end|>";
-        if (size_t pos = prompt.rfind(return_token); pos != std::string::npos) {
-            prompt.replace(pos, return_token.length(), end_token);
-        }
-    }
-
-    data.prompt = prompt;
-    data.format = COMMON_CHAT_FORMAT_GPT_OSS;
-
-    // These special tokens are required to parse properly, so we include them
-    // even if parse_tool_calls is false.
-    data.preserved_tokens = {
-        "<|channel|>",
-        "<|constrain|>",
-        "<|message|>",
-        "<|start|>",
-        "<|end|>",
-    };
-
-    if (!inputs.json_schema.is_null()) {
-        data.grammar_lazy = false;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            auto schema = inputs.json_schema;
-            builder.resolve_refs(schema);
-
-            auto not_end = builder.add_rule("not-end",
-                "[^<] | \"<\" [^|] | \"<|\" [^e] | \"<|e\" [^n] | \"<|en\" [^d] | \"<|end\" [^|] | \"<|end|\" [^>]");
-            auto analysis = builder.add_rule("analysis",
-                "\"<|channel|>analysis<|message|>\" ( " + not_end + " )* \"<|end|>\"");
-            auto constraint = builder.add_rule("constraint", "\"<|constrain|>\"? [a-zA-Z0-9_-]+");
-            auto final = builder.add_rule("final",
-                "\"<|channel|>final\" ( \" \" " + constraint + " )? \"<|message|>\" " +
-                builder.add_schema("response", schema)
-            );
-
-            builder.add_rule("root", "( " + analysis + " \"<|start|>assistant\" )? " + final);
-        });
-    }
-
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            // tool calls can appear in commentary or analysis channels
-            auto channel = builder.add_rule("channel", "\"<|channel|>\" ( \"commentary\" | \"analysis\" )");
-
-            std::vector<std::string> tool_rules_recipient_in_role;
-            std::vector<std::string> tool_rules_recipient_in_channel;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-
-                tool_rules_recipient_in_role.push_back(
-                    builder.add_rule(name + "-call",
-                        "\"" + name + "\"" + channel + " \" <|constrain|>json\"? \"<|message|>\" " +
-                        builder.add_schema(name + "-args", parameters)
-                    )
-                );
-
-                tool_rules_recipient_in_channel.push_back(
-                    builder.add_rule(name + "-call",
-                        "\"" + name + "\"" + " \" <|constrain|>json\"? \"<|message|>\" " +
-                        builder.add_schema(name + "-args", parameters)
-                    )
-                );
-            });
-
-            auto recipient_in_channel = builder.add_rule("recipient_in_channel",
-                channel + " \" to=functions.\" ( " +
-                string_join(tool_rules_recipient_in_channel, " | ") + " )"
-            );
-
-            if (data.grammar_lazy) {
-                auto recipient_in_role = builder.add_rule("recipient_in_role",
-                    "\"<|start|>assistant\"? \" to=functions.\" ( " +
-                    string_join(tool_rules_recipient_in_role, " | ") + " )"
-                );
-
-                builder.add_rule("root", recipient_in_role + " | " + recipient_in_channel);
-            } else {
-                auto not_end = builder.add_rule("not-end",
-                    "[^<] | \"<\" [^|] | \"<|\" [^e] | \"<|e\" [^n] | \"<|en\" [^d] | \"<|end\" [^|] | \"<|end|\" [^>]");
-                auto analysis = builder.add_rule("analysis",
-                    "\"<|channel|>analysis<|message|>\" ( " + not_end + " )* \"<|end|>\"");
-                auto commentary = builder.add_rule("commentary",
-                    "\"<|channel|>commentary<|message|>\" ( " + not_end + " )* \"<|end|>\"");
-
-                auto recipient_in_role = builder.add_rule("recipient_in_role",
-                    "\" to=functions.\" ( " + string_join(tool_rules_recipient_in_role, " | ") + " )"
-                );
-
-                builder.add_rule("root",
-                    "( " + analysis + " \"<|start|>assistant\" )? " +
-                    "( " + commentary + " \"<|start|>assistant\" )? " +
-                    "( " + recipient_in_role + " | " + recipient_in_channel + " )"
-                );
-            }
-
-            // Trigger on tool calls that appear in the commentary channel
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
-                "<\\|channel\\|>(?:commentary|analysis) to"
-            });
-
-            // Trigger tool calls that appear in the role section, either at the
-            // start or in the middle.
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-                "^ to"
-            });
-
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
-                "<\\|start\\|>assistant to"
-            });
-        });
-    }
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_glm_4_5(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-    data.grammar_lazy = inputs.tools.is_array() && !inputs.tools.empty() && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-
-    std::string prompt = apply(tmpl, inputs);
-
-    // match the existing trimming behavior
-    if (inputs.add_bos && string_starts_with(prompt, tmpl.bos_token())) {
-        prompt.erase(0, tmpl.bos_token().size());
-    }
-    if (inputs.add_eos && string_ends_with(prompt, tmpl.eos_token())) {
-        prompt.erase(prompt.size() - tmpl.eos_token().size());
-    }
-    if (string_ends_with(prompt, "<think>")) {
-        if (!inputs.enable_thinking) {
-            prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-
-    // add GLM preserved tokens
-    data.preserved_tokens = {
-        "<|endoftext|>",
-        "[MASK]",
-        "[gMASK]",
-        "[sMASK]",
-        "<sop>",
-        "<eop>",
-        "<|system|>",
-        "<|user|>",
-        "<|assistant|>",
-        "<|observation|>",
-        "<|begin_of_image|>",
-        "<|end_of_image|>",
-        "<|begin_of_video|>",
-        "<|end_of_video|>",
-        "<|begin_of_audio|>",
-        "<|end_of_audio|>",
-        "<|begin_of_transcription|>",
-        "<|end_of_transcription|>",
-        "<|code_prefix|>",
-        "<|code_middle|>",
-        "<|code_suffix|>",
-        "/nothink",
         "<think>",
         "</think>",
-        "<tool_call>",
-        "</tool_call>",
-        "<arg_key>",
-        "</arg_key>",
-        "<arg_value>",
-        "</arg_value>"
-    };
-
-    // extra GLM 4.5 stop word
-    data.additional_stops.insert(data.additional_stops.end(), {
-        "<|user|>",
-        "<|observation|>"
-    });
-
-    // build grammar for tool call
-    static const xml_tool_call_format form {
-        /* form.scope_start = */ "",
-        /* form.tool_start  = */ "\n<tool_call>",
-        /* form.tool_sep    = */ "\n",
-        /* form.key_start   = */ "<arg_key>",
-        /* form.key_val_sep = */ "</arg_key>\n<arg_value>",
-        /* form.val_end     = */ "</arg_value>\n",
-        /* form.tool_end    = */ "</tool_call>\n",
-        /* form.scope_end   = */ "",
     };
-    build_grammar_xml_tool_call(data, inputs.tools, form);
 
-    data.prompt = prompt;
-    data.format = COMMON_CHAT_FORMAT_GLM_4_5;
-    return data;
-}
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        // Kimi K2 Thinking format:
+        // - Reasoning: <think>{reasoning}</think>
+        // - Content: text after reasoning
+        // - Tool calls section:
+        //   <|tool_calls_section_begin|>
+        //   <|tool_call_begin|>functions.<name>:<index><|tool_call_argument_begin|>{json_args}<|tool_call_end|>
+        //   ...
+        //   <|tool_calls_section_end|>
+        // The ID format is: functions.<function_name>:<counter> where counter is 0, 1, 2, ...
+
+                // Tool call markers
+        const std::string SECTION_BEGIN = "<|tool_calls_section_begin|>";
+        const std::string SECTION_END   = "<|tool_calls_section_end|>";
+        const std::string CALL_BEGIN    = "<|tool_call_begin|>";
+        const std::string ARGS_BEGIN    = "<|tool_call_argument_begin|>";
+        const std::string CALL_END      = "<|tool_call_end|>";
+
+        const std::string THINK_START   = "<think>";
+        const std::string THINK_END     = "</think>";
+
+        auto end = p.end();
+
+        // Note: this model is CRAZY. It can diverge from its supposed tool calling pattern in so many ways it's not funny.
+        // For example, it can call tools at the end of reasoning without closing reasoning...
+        auto reasoning = extract_reasoning ? p.optional(THINK_START + p.reasoning(
+            p.until_one_of({ THINK_END, "<|tool_calls_section_begin|>", "<|tool_call_begin|>" })) +
+            p.optional(p.literal(THINK_END))) : p.eps();
+
+
+        // Content only parser (no tools)
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            return reasoning + p.content(p.rest()) + end;
+        }
+
+        // Build tool call parsers for each available function
+        // The ID format is: functions.<name>:<index>
+        // We need to match: functions.<name>:<digits>
+        auto tool_choice = p.choice();
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const auto & function = tool.at("function");
+            std::string  name     = function.at("name");
+            const auto & schema   = function.at("parameters");
+
+            // Match: functions.<name>:<digits>
+            // Capture the full call id (functions.<name>:<digits>) using tool_id tag
+            auto tool_id = p.tool_id(p.literal("functions.") + p.tool_name(p.literal(name)) + p.literal(":") + p.chars("[0-9]", 1, -1));
+            auto tool_parser = p.tool(
+                p.tool_open(tool_id + p.literal(ARGS_BEGIN)) +
+                p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)) +
+                p.tool_close(p.optional((p.literal(CALL_END))))
+            );
 
-static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    LOG_DBG("%s\n", __func__);
-    common_chat_params data;
-    const std::optional<json> additional_context = json {
-        {"datetime", format_time(inputs.now, "%b %d %Y %H:%M:%S GMT")},
-        {"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))},
-    };
-    data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override =*/ std::nullopt, additional_context);
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            auto schemas = json::array();
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                schemas.push_back({
-                    {"type", "object"},
-                    {"properties", {
-                        {"name", {
-                            {"type", "string"},
-                            {"const", function.at("name")},
-                        }},
-                        {"arguments", function.at("parameters")},
-                    }},
-                    {"required", json::array({"name", "arguments", "id"})},
-                });
-            });
-            auto schema = json {
-                {"type", "array"},
-                {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
-                {"minItems", 1},
-            };
-            if (!inputs.parallel_tool_calls) {
-                schema["maxItems"] = 1;
-            }
-            builder.add_rule("root", "\" functools\"? " + builder.add_schema("tool_calls", schema));
+            tool_choice |= p.rule("tool-" + name, tool_parser);
         });
-        data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, " functools["});
-        data.preserved_tokens = {
-            " functools[",
-        };
-        data.format = COMMON_CHAT_FORMAT_FIREFUNCTION_V2;
-    } else {
-        data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    }
-    return data;
-}
 
-static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    // >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}...
-    // Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar
-    // If the function is python, we also allow raw python code (if the line after `python\n` doesn't start w/ opening `{`), which the model seems to prefer for multiline code.
-    common_chat_params data;
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2;
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> first_tool_rules;
-            std::vector<std::string> subsequent_tool_rules;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-                std::string args_pattern = "[\\s\\S]*";
-                auto args_rule = builder.add_schema(name + "-args", parameters);
-                if (name == "python") {
-                    args_rule = builder.add_rule(name + "-maybe-raw-args", args_rule + " | [^{] .*");
-                } else {
-                    args_pattern = "\\{" + args_pattern;
-                }
-                auto call_rule = builder.add_rule(name + "-call", "\"" + name + "\\n\" " + args_rule);
-                first_tool_rules.push_back(call_rule);
-                if (inputs.parallel_tool_calls) {
-                    subsequent_tool_rules.push_back(builder.add_rule(name + "-call2", "\">>>\" " + call_rule));
-                }
-                data.grammar_triggers.push_back({
-                    COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-                    "((?:[\\s\\S]+?>>>)?" + regex_escape(name) + "\n)" + args_pattern,
-                });
-            });
-            data.preserved_tokens = {
-                "<|end_header_id|>",
-            };
-            auto first_rule = first_tool_rules.empty() ? "" : builder.add_rule("first_tool_call", string_join(first_tool_rules, " | ")) + " space";
-            if (inputs.parallel_tool_calls) {
-                auto subsequent_rule = builder.add_rule("subsequent_tool_call", string_join(subsequent_tool_rules, " | ")) + " space";
-                builder.add_rule("root", first_rule + " (" + subsequent_rule + ")*");
-            } else {
-                builder.add_rule("root", first_rule);
-            }
+        // Tool calls section: <|tool_calls_section_begin|> tool_calls <|tool_calls_section_end|>
+        auto min_calls  = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
+        auto max_calls  = inputs.parallel_tool_calls ? -1 : 1;
+        // Use trigger_rule so grammar generator knows where to start generating rules
+        auto tool_calls = p.rule("tool-calls",
+            p.optional(p.literal(SECTION_BEGIN)) +
+            p.trigger_rule("tool-call", p.repeat(CALL_BEGIN + tool_choice, min_calls, max_calls) +
+                p.optional(p.literal(SECTION_END)))
+        );
 
-        });
-    }
-    return data;
-}
+        auto content_before_tools = p.content(p.until_one_of({ SECTION_BEGIN, CALL_BEGIN }));
 
-static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    // https://github.com/MeetKai/functionary/blob/main/tests/prompt_test_v3-llama3.1.txt
-    common_chat_params data;
+        return reasoning + content_before_tools + tool_calls + end;
+    });
 
-    if (!inputs.tools.is_null()) {
-        std::string python_code_argument_name;
-        auto has_raw_python = false;
+    data.parser = parser.save();
 
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
+    if (include_grammar) {
+        data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
             foreach_function(inputs.tools, [&](const json & tool) {
                 const auto & function = tool.at("function");
-                const auto & parameters = function.at("parameters");
-                std::string name = function.at("name");
-                if (name == "python" || name == "ipython") {
-                    if (!parameters.contains("type")) {
-                        throw std::runtime_error("Missing type in python tool");
-                    }
-                    has_raw_python = true;
-                    const auto & type = parameters.at("type");
-                    if (type == "object") {
-                        auto properties = parameters.at("properties");
-                        for (auto it = properties.begin(); it != properties.end(); ++it) {
-                            if (it.value().at("type") == "string") {
-                                if (!python_code_argument_name.empty()) {
-                                    throw std::runtime_error("Multiple string arguments found in python tool");
-                                }
-                                python_code_argument_name = it.key();
-                            }
-                        }
-                        if (python_code_argument_name.empty()) {
-                            throw std::runtime_error("No string argument found in python tool");
-                        }
-                    } else if (type != "string") {
-                        throw std::runtime_error("Invalid type in python tool: " + type.dump());
-                    }
-                }
-                tool_rules.push_back(builder.add_rule(name + "-call", "\"<function=" + name + ">\" " + builder.add_schema(name + "-args", parameters) + " \"</function>\" space"));
+                auto         schema   = function.at("parameters");
+                builder.resolve_refs(schema);
             });
-            if (has_raw_python) {
-                tool_rules.push_back(builder.add_rule("python-call", "\"<|python_tag|>\" .*"));
-                data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|python_tag|>"});
-                data.preserved_tokens.push_back("<|python_tag|>");
-            }
-            auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " space";
-            builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call);
-            data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<function="});
+            parser.build_grammar(builder, data.grammar_lazy);
         });
-        data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1;
-    } else {
-        data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    }
-
-    data.prompt = apply(tmpl, inputs);
-    // TODO: if (has_raw_python)
-    return data;
-}
-
-static common_chat_params common_chat_params_init_hermes_2_pro(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
 
-    json extra_context = json {
-        {"enable_thinking", inputs.enable_thinking},
-    };
-    extra_context.update(inputs.extra_context);
-
-    data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override= */ std::nullopt, extra_context);
-    data.format = COMMON_CHAT_FORMAT_HERMES_2_PRO;
-    if (string_ends_with(data.prompt, "<think>\n")) {
-        if (!extra_context["enable_thinking"]) {
-            data.prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-
-    if (!inputs.tools.is_null()) {
-        // (content)?(<tool_call>{"name": "foo", "arguments": {"a": 1}}</tool_call>)*
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-            std::vector<std::string> tool_call_alts;
-            std::vector<std::string> escaped_names;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-                tool_rules.push_back(builder.add_schema(name + "-call", {
-                    {"type", "object"},
-                    {"properties", json {
-                        {"name", json {{"const", name}}},
-                        {"arguments", parameters},
-                    }},
-                    {"required", json::array({"name", "arguments"})},
-                }));
-                tool_call_alts.push_back(builder.add_rule(
-                    name + "-function-tag",
-                    "\"<function\" ( \"=" + name + "\" | \" name=\\\"" + name + "\\\"\" ) \">\" space " +
-                    builder.add_schema(name + "-args", parameters) + " "
-                    "\"</function>\" space"));
-
-                data.grammar_triggers.push_back({
-                    COMMON_GRAMMAR_TRIGGER_TYPE_WORD,
-                    "<function=" + name + ">",
-                });
-                auto escaped_name = regex_escape(name);
-                data.grammar_triggers.push_back({
-                    COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
-                    "<function\\s+name\\s*=\\s*\"" + escaped_name + "\"",
-                });
-                escaped_names.push_back(escaped_name);
-            });
-            auto any_tool_call = builder.add_rule("any_tool_call", "( " + string_join(tool_rules, " | ") + " ) space");
-            std::vector<std::string> alt_tags {
-                any_tool_call,
-                "\"<tool_call>\" space "     + any_tool_call + " \"</tool_call>\"",
-                // The rest is just to accommodate common "good bad" outputs.
-                "\"<function_call>\" space " + any_tool_call + " \"</function_call>\"",
-                "\"<response>\"  space "     + any_tool_call + " \"</response>\"",
-                "\"<tools>\"     space "     + any_tool_call + " \"</tools>\"",
-                "\"<json>\"      space "     + any_tool_call + " \"</json>\"",
-                "\"<xml>\"      space "     + any_tool_call + " \"</xml>\"",
-                "\"<JSON>\"      space "     + any_tool_call + " \"</JSON>\"",
-            };
-            auto wrappable_tool_call = builder.add_rule("wrappable_tool_call", "( " + string_join(alt_tags, " | ") + " ) space");
-            tool_call_alts.push_back(wrappable_tool_call);
-            tool_call_alts.push_back(
-                "( \"```\\n\" | \"```json\\n\" | \"```xml\\n\" ) space " + wrappable_tool_call + " space \"```\" space ");
-            auto tool_call = builder.add_rule("tool_call", string_join(tool_call_alts, " | "));
-            builder.add_rule("root",
-                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
-                (inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call));
-            // Trigger on some common known "good bad" outputs (only from the start and with a json that's about a specific argument name to avoid false positives)
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
-                // If thinking_forced_open, then we capture the </think> tag in the grammar,
-                // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
-                std::string(data.thinking_forced_open ? "(</think>\\s*)" : "") + (
-                    "\\s*("
-                    "(?:<tool_call>"
-                    "|<function"
-                    "|(?:```(?:json|xml)?\n\\s*)?(?:<function_call>|<tools>|<xml><json>|<response>)?"
-                    "\\s*\\{\\s*\"name\"\\s*:\\s*\"(?:" + string_join(escaped_names, "|") + ")\""
-                    ")"
-                    ")"
-                ),
-            });
-            data.preserved_tokens = {
-                "<think>",
-                "</think>",
-                "<tool_call>",
-                "</tool_call>",
-                "<function",
-                "<tools>",
-                "</tools>",
-                "<response>",
-                "</response>",
-                "<function_call>",
-                "</function_call>",
-                "<json>",
-                "</json>",
-                "<JSON>",
-                "</JSON>",
-                "```",
-                "```json",
-                "```xml",
-            };
-        });
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|tool_call_begin|>" }
+        };
     }
 
     return data;
 }
 
-static common_chat_params common_chat_params_init_granite(const common_chat_template & tmpl, const struct templates_params & inputs) {
+// LFM2 format:
+// - Reasoning: <think>{reasoning}</think> (optional, only if enable_thinking is true)
+// - Content: text after reasoning (optional)
+// - Tool calls: <|tool_call_start|>[function_name(arg1="value1", arg2="value2")]<|tool_call_end|>
+// Tool calls can appear multiple times (parallel tool calls)
+static common_chat_params common_chat_params_init_lfm2(const common_chat_template &    tmpl,
+                                                       const autoparser::templates_params & inputs) {
     common_chat_params data;
 
-    // Pass thinking context for Granite template
-    json additional_context = {
-        {"thinking", inputs.enable_thinking},
+    data.prompt            = common_chat_template_direct_apply(tmpl, inputs);
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking = true;
+    data.preserved_tokens  = {
+        "<|tool_list_start|>",
+        "<|tool_list_end|>",
+        "<|tool_call_start|>",
+        "<|tool_call_end|>",
+        "<think>",
+        "</think>",
     };
 
-    data.prompt = apply(tmpl, inputs, /* messages_override= */ std::nullopt, /* tools_override= */ std::nullopt, additional_context);
-    data.format = COMMON_CHAT_FORMAT_GRANITE;
-
-    if (string_ends_with(data.prompt, "<think>\n") || string_ends_with(data.prompt, "<think>")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</think>";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
 
-    if (!inputs.tools.is_null()) {
-        // Granite uses <|tool_call|> followed by JSON list
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-                tool_rules.push_back(builder.add_rule(name + "-call", builder.add_schema(name +
-"-args", {
-                    {"type", "object"},
-                    {"properties", {
-                        {"name", {{"const", name}}},
-                        {"arguments", parameters},
-                    }},
-                    {"required", json::array({"name", "arguments"})},
-                })));
-            });
 
-            auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | "));
-            auto tool_list = builder.add_rule("tool_list", "\"[\" space " + tool_call + " (\",\" space " + tool_call + ")* space \"]\"");
+    const std::string TOOL_CALL_START = "<|tool_call_start|>";
+    const std::string TOOL_CALL_END   = "<|tool_call_end|>";
+    const std::string THINK_START     = "<think>";
+    const std::string THINK_END       = "</think>";
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
 
-            if (data.thinking_forced_open) {
-                builder.add_rule("root", "\"</think>\" space \"<response>\" space [^<]* \"</response>\" space \"<|tool_call|>\" space " + tool_list);
-            } else {
-                builder.add_rule("root", "\"<|tool_call|>\" space " + tool_list);
-            }
+        auto end = p.end();
 
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_WORD,
-                "<|tool_call|>"
-            });
+        auto reasoning = p.eps();
+        if (extract_reasoning && inputs.enable_thinking) {
+            reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END);
+        }
 
-            data.preserved_tokens = {
-                "<think>",
-                "</think>",
-                "<response>",
-                "</response>",
-                "<|tool_call|>",
-            };
-        });
-    } else {
-        // Handle thinking tags for non-tool responses
-        if (data.thinking_forced_open && inputs.enable_thinking) {
-            data.grammar_lazy = false;
-            data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-                builder.add_rule("root", "\"</think>\" space \"<response>\" space .* \"</response>\" space");
-            });
-            data.preserved_tokens = {
-                "<think>",
-                "</think>",
-                "<response>",
-                "</response>",
-            };
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            return reasoning + p.content(p.rest()) + end;
         }
-    }
 
-    return data;
-}
+        auto tool_calls = p.rule("tool-calls",
+            p.trigger_rule("tool-call", p.literal(TOOL_CALL_START) +
+                p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls) +
+                p.literal(TOOL_CALL_END)
+            )
+        );
 
-static common_chat_params common_chat_params_init_solar_open(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
+        auto content = p.content(p.until(TOOL_CALL_START));
 
-    // Copy `reasoning_content` to `reasoning`
-    auto adjusted_messages = json::array();
-    for (const auto & msg : inputs.messages) {
-        if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) {
-            auto adjusted_message = msg;
-            adjusted_message["reasoning"] = msg.at("reasoning_content");
-            adjusted_message.erase("reasoning_content");
-            adjusted_messages.push_back(adjusted_message);
-        } else {
-            adjusted_messages.push_back(msg);
-        }
-    }
+        return reasoning + content + tool_calls + end;
+    });
 
-    auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();
-    auto include_grammar = true;
+    data.parser = parser.save();
 
-    auto prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages);
+    if (include_grammar) {
+        data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.at("parameters");
+                builder.resolve_refs(schema);
+            });
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
 
-    // Check if we need to replace the flush token with end token during inference and without generation prompt.
-    if (inputs.is_inference && !inputs.add_generation_prompt) {
-        static constexpr std::string_view return_token = "<|flush|>";
-        static constexpr std::string_view end_token    = "<|end|>";
-        if (size_t pos = prompt.rfind(return_token); pos != std::string::npos) {
-            prompt.replace(pos, return_token.length(), end_token);
-        }
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, TOOL_CALL_START }
+        };
     }
 
-    data.prompt = prompt;
-    data.format = COMMON_CHAT_FORMAT_PEG_NATIVE;
-    data.preserved_tokens = {
-        "<|think|>",
-        "<|content|>",
-        "<|begin|>",
-        "<|end|>",
-        "<|tool_calls|>",
-        "<|tool_call:begin|>",
-        "<|tool_call:end|>",
-        "<|tool_call:name|>",
-        "<|tool_call:args|>",
-    };
+    return data;
+}
 
-    auto parser = build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) {
-        auto lit_think = p.atomic(p.literal("<|think|>"));
-        auto lit_assistant_begin = p.atomic(p.literal("<|begin|>assistant"));
-        auto lit_content = p.atomic(p.literal("<|content|>"));
-        auto lit_end = p.atomic(p.literal("<|end|>"));
-        auto parser_until_end = p.until("<|end|>");
-
-        // reasoning <- "<|think|>" (!"<|end|>" .)*
-        auto parser_reasoning = p.rule("reasoning", lit_think + p.reasoning(parser_until_end));
-
-        // content <- "<|content|>" (!"<|end|>" .)*
-        auto parser_content = p.rule("content", lit_content + p.content(parser_until_end));
-
-        // wrap_choice(items) <- item-choice wrapped*
-        // item-choice        <- items[0] / ... / items[n]
-        // wrapped            <- "<|end|><|begin|>assistant" item-choice
-        auto wrap_choice = [&](const std::vector<common_peg_parser> & items) {
-            auto choice = p.choice(items);
-            return choice + p.zero_or_more(lit_end + lit_assistant_begin + choice);
-        };
+static common_chat_params common_chat_params_init_gigachat_v3(
+        const common_chat_template & tmpl,
+        const autoparser::templates_params & inputs) {
 
-        // wrap_seq(items) <- item[0] "<|end|><|begin|>assistant" item[1] ...
-        auto wrap_seq = [&](const std::vector<common_peg_parser> & items) {
-            auto seq = p.sequence();
-            for (auto i = 0u; i < items.size(); i++) {
-                if (i == 0) {
-                    seq += items[i];
-                    continue;
-                }
-                seq += lit_end + lit_assistant_begin + items[i];
-            }
-            return seq;
-        };
+    common_chat_params data;
 
-        // Response format parser
-        if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) {
-            auto parser_response_format = lit_content + p.content(p.schema(p.json(), "response-format", inputs.json_schema));
-            return p.choice({
-                wrap_seq({parser_reasoning, parser_response_format}),
-                wrap_seq({parser_response_format})
-            });
-        }
+    data.prompt            = common_chat_template_direct_apply(tmpl, inputs);
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking = false;
+    data.preserved_tokens  = {
+        "<|message_sep|>\n\n",
+        "<|role_sep|>\n",
+    };
 
-        auto lit_tool_call_begin = p.literal("<|tool_call:begin|>");
-        auto lit_tool_call_name = p.literal("<|tool_call:name|>");
-        auto lit_tool_call_args = p.literal("<|tool_call:args|>");
-        auto lit_tool_call_end = p.literal("<|tool_call:end|>");
+    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
+    auto include_grammar   = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
+    auto tool_call_start_prefix = "<|message_sep|>\n\nfunction call<|role_sep|>\n";
 
-        // Tool call parser
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
         if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
-            auto parser_tool_call = p.choice();
-            foreach_function(inputs.tools, [&](const json & tool) {
+            // Build a choice of all available tools
+            auto tool_choice = p.choice();
+            for (const auto & tool : inputs.tools) {
                 const auto & function = tool.at("function");
                 std::string name = function.at("name");
                 const auto & schema = function.at("parameters");
 
-                // tool(name, schema) <- name "<|tool_call:args|>" schema
-                parser_tool_call |= p.rule("tool-" + name,
-                    p.atomic(p.tool_name(p.literal(name)) + lit_tool_call_args)
-                    + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)));
-            });
+                auto tool_name = p.json_member("name", "\"" + p.tool_name(p.literal(name)) + "\"");
+                auto tool_args = p.json_member("arguments", p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)));
 
-            auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
-            auto max_calls = inputs.parallel_tool_calls ? -1 : 1;
+                auto tool_open = p.tool_open(p.literal("{") << tool_name);
 
-            // tool-calls  <- "<|tool_calls|>" tool-call+
-            // tool-call   <- "<|tool_call:begin|> call-id "<|tool_call:name|>" &([^<]+ "<|tool_call:args|>") tool-choice "<|tool_call:end|>"
-            // call-id     <- [a-zA-Z0-9_-]+
-            // tool-choice <- tool(t[0].name, t[0].schema) / ... / tool(t[n].name, t[n].schema)
-            auto parser_tool_calls = p.trigger_rule("tool-calls",
-                p.atomic(p.literal("<|tool_calls|>"))
-                + p.repeat(
-                    p.tool_open(
-                        lit_tool_call_begin
-                        + p.tool_id(p.chars("[a-zA-Z0-9_-]", 1, -1))
-                        + lit_tool_call_name
-                        + p.peek(p.chars("[^<]", 1, -1) + lit_tool_call_args))
-                    + parser_tool_call
-                    + p.tool_close(lit_tool_call_end),
-                /* min = */ 1,
-                /* max = */ max_calls));
-
-            if (min_calls == 1) {
-                // If required, then try any combination of the reasoning, content, and tool call
-                return p.choice({
-                    wrap_seq({parser_reasoning, parser_content, parser_tool_calls}),
-                    wrap_seq({parser_reasoning, parser_tool_calls}),
-                    wrap_seq({parser_content, parser_tool_calls}),
-                    wrap_seq({parser_tool_calls})
-                });
+                tool_choice |= p.rule("tool-" + name, tool_open << "," << tool_args << "}");
             }
 
-            return wrap_choice({parser_reasoning, parser_content, parser_tool_calls});
+            // Define the tool call structure
+            auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0;
+            auto max_calls = 1; // parallel toolcalls are not supported
+            auto tool_call = p.rule("tool-call", p.literal(tool_call_start_prefix) + tool_choice);
+            auto tool_calls = p.trigger_rule("tool-call-root", p.repeat(tool_call, /* min = */ min_calls, /* max = */ max_calls));
+
+            return p.content(p.until("<|message_sep|>\n\n")) << tool_calls;
         }
 
         // Content only parser
         include_grammar = false;
-        return wrap_choice({parser_reasoning, parser_content});
+        return p.content(p.rest());
+
     });
 
     data.parser = parser.save();
@@ -2758,190 +1419,24 @@ static common_chat_params common_chat_params_init_solar_open(const common_chat_t
         });
 
         data.grammar_triggers = {
-            {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|tool_calls|>"}
+            {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, tool_call_start_prefix}
         };
     }
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_exaone_moe(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_EXAONE_MOE;
-    if (string_ends_with(data.prompt, "<think>\n")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</think>\n\n";
-        } else {
-            data.thinking_forced_open = true;
-        }
-    }
-
-    if (inputs.tools.is_array() && !inputs.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null();
-        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-            foreach_function(inputs.tools, [&](const json & tool) {
-                const auto & function = tool.at("function");
-                std::string name = function.at("name");
-                auto parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-                // Expect: <tool_call>{"name": "<name>", "arguments": {...}}</tool_call>
-                tool_rules.push_back(builder.add_rule(
-                    name + "-call",
-                    "\"<tool_call>\" space " +
-                        builder.add_schema(name + "-obj", json{
-                            {"type", "object"},
-                            {"properties", {
-                                {"name",      json{{"const", name}}},
-                                {"arguments", parameters},
-                            }},
-                            {"required", json::array({"name", "arguments"})},
-                        }) +
-                    " space \"</tool_call>\" space"));
-            });
-
-            auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | "));
-            builder.add_rule("root",
-                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
-                (inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call));
-
-            data.grammar_triggers.push_back({
-                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
-                std::string(data.thinking_forced_open ? "[\\s\\S]*?(</think>\\s*)?" : "") +
-                    "(<tool_call>)[\\s\\S]*"
-            });
-            data.preserved_tokens = {
-                "<think>",
-                "</think>",
-                "<tool_call>",
-                "</tool_call>",
-            };
-        });
-    }
-
     return data;
 }
 
-static common_chat_params common_chat_params_init_translate_gemma(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-
-    // This template does not support tools or reasoning
-    // we just need to transform the messages into the correct schema
-
-    templates_params inputs_new = inputs;
-    json & messages = inputs_new.messages;
-
-    // default to chat_template_kwargs, or en-GB if not specified
-    std::string default_src_lang = inputs.extra_context.value("source_lang_code", "en-GB");
-    std::string default_tgt_lang = inputs.extra_context.value("target_lang_code", "en-GB");
+namespace workaround {
 
-    GGML_ASSERT(messages.is_array());
+static void map_developer_role_to_system(json & messages) {
     for (auto & message : messages) {
-        if (message.contains("role") && message["role"].get<std::string>() != "user") {
-            continue;
-        }
-        if (!message.contains("content")) {
-            message["content"] = json::array();
-        }
-        if (message.contains("content") && !message["content"].is_array()) {
-            auto content_str = message["content"].get<std::string>();
-            // default to en-GB if not specified (to make common_chat_format_example works)
-            auto src_lang = message.contains("source_lang_code")
-                        ? message["source_lang_code"].get<std::string>() : default_src_lang;
-            auto tgt_lang = message.contains("target_lang_code")
-                        ? message["target_lang_code"].get<std::string>() : default_tgt_lang;
-            message["content"] = json::array({
-                json{
-                    {"type", "text"},
-                    {"text", content_str},
-                    {"source_lang_code", src_lang},
-                    {"target_lang_code", tgt_lang},
-                }
-            });
-        }
-    }
-
-    data.prompt = apply(tmpl, inputs_new, std::nullopt, std::nullopt);
-    data.format = COMMON_CHAT_FORMAT_GENERIC;
-
-    return data;
-}
-
-static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct templates_params & inputs) {
-    common_chat_params data;
-    data.prompt = apply(tmpl, inputs);
-    data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    data.grammar_lazy = false;
-    if (!inputs.json_schema.is_null()) {
-        if (!inputs.grammar.empty()) {
-            throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both");
-        }
-        data.grammar = json_schema_to_grammar(inputs.json_schema);
-    } else {
-        data.grammar = inputs.grammar;
-    }
-    return data;
-}
-
-static common_chat_params common_chat_params_init_seed_oss(
-    const common_chat_template         & tmpl,
-    templates_params                   & params,
-    const common_chat_templates_inputs & inputs)
-{
-    common_chat_params data;
-    data.prompt = apply(tmpl, params);
-    data.format = COMMON_CHAT_FORMAT_SEED_OSS;
-    if (string_ends_with(data.prompt, "<seed:think>")) {
-        if (!inputs.enable_thinking) {
-            data.prompt += "</seed:think>";
-        } else {
-            data.thinking_forced_open = true;
+        if (message.contains("role")) {
+            if (message["role"] == "developer") {
+                message["role"] = "system";
+            }
         }
     }
-
-    if (params.tools.is_array() && !params.tools.empty()) {
-        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
-            std::vector<std::string> tool_rules;
-            foreach_function(params.tools, [&](const json & tool) {
-                const auto & function   = tool.at("function");
-                std::string  name       = function.at("name");
-                auto         parameters = function.at("parameters");
-                builder.resolve_refs(parameters);
-
-                // Create rule for Seed-OSS function call format
-                std::string param_rules;
-                if (parameters.contains("properties")) {
-                    for (const auto & [key, value] : parameters.at("properties").items()) {
-                        param_rules += "\"<parameter=" + key + ">\"" + builder.add_schema(name + "-arg-" + key, value) +
-                                       "\"</parameter>\"";
-                    }
-                }
-
-                tool_rules.push_back(builder.add_rule(name + "-call",
-                                                      "\"<seed:tool_call>\" space \"<function=" + name + ">\" space " +
-                                                          param_rules +
-                                                          " \"</function>\" space \"</seed:tool_call>\""));
-            });
-
-            data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<seed:tool_call>" });
-
-            data.preserved_tokens = {
-                "<seed:think>", "</seed:think>", "<seed:tool_call>", "</seed:tool_call>",
-                "<function=",   "</function>",   "<parameter=",      "</parameter>",
-            };
-
-            builder.add_rule("root", string_join(tool_rules, " | "));
-        });
-    }
-    return data;
 }
 
-// various workarounds for known issues with certain templates or model behaviors
-// TODO @ngxson : improve this (how?)
-namespace workaround {
 
 // if first message is system and template does not support it, merge it with next message
 static void system_message_not_supported(json & messages) {
@@ -2960,6 +1455,15 @@ static void system_message_not_supported(json & messages) {
     }
 }
 
+static void requires_non_null_content(json & messages) {
+    GGML_ASSERT(messages.is_array());
+    for (auto & message : messages) {
+        if (message.contains("tool_calls") && !message.contains("content")) {
+            message["content"] = "";
+        }
+    }
+}
+
 static void func_args_not_string(json & messages) {
     GGML_ASSERT(messages.is_array());
     for (auto & message : messages) {
@@ -2980,71 +1484,21 @@ static void func_args_not_string(json & messages) {
     }
 }
 
-static void move_tool_calls_to_content(json & messages, int indent_spaces = 2) {
-    GGML_ASSERT(messages.is_array());
-    for (auto & message : messages) {
-        if (message.contains("tool_calls")) {
-            auto tool_calls_new = json{
-                {"tool_calls", message.at("tool_calls")}
-            };
-            message.erase("tool_calls");
-            auto content = message.at("content");
-            std::string content_new = content.is_null() ? "" : content.get<std::string>();
-            message["content"] = content_new + tool_calls_new.dump(indent_spaces, ' ', false, json::error_handler_t::replace);
-        }
-    }
 }
 
-// TODO @ngxson : we may remove support for generic schema in the future
-static void use_generic_schema(json & messages) {
-    GGML_ASSERT(messages.is_array());
-    for (auto & message : messages) {
-        if (message.contains("tool_calls") && message.at("tool_calls").is_array()) {
-            auto & tool_calls = message.at("tool_calls");
-            for (auto & tool_call : tool_calls) {
-                if (tool_call.contains("type") && tool_call.at("type") == "function" &&
-                    tool_call.contains("function") && tool_call.at("function").is_object()) {
-                    // Copy values before erasing to avoid use-after-free
-                    json name_value;
-                    json arguments_value;
-                    json id_value;
-                    const auto & function = tool_call.at("function");
-                    if (function.contains("name")) {
-                        name_value = function.at("name");
-                    }
-                    if (function.contains("arguments")) {
-                        arguments_value = function.at("arguments");
-                    }
-                    if (tool_call.contains("id")) {
-                        id_value = tool_call.at("id");
-                    }
-                    // Now safely erase and assign in the correct order
-                    tool_call.erase("type");
-                    tool_call.erase("function");
-                    tool_call.erase("id");
-                    // Reassign in desired order: name, arguments, id
-                    if (!name_value.is_null()) {
-                        tool_call["name"] = name_value;
-                    }
-                    if (!arguments_value.is_null()) {
-                        tool_call["arguments"] = arguments_value;
-                    }
-                    if (!id_value.is_null()) {
-                        tool_call["id"] = id_value;
-                    }
-                }
-            }
-        }
-    }
+static json common_chat_extra_context() {
+    json ctx = json::object();
+    std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
+    std::string datetime_str = format_time(now, "%b %d %Y");
+    std::string date_str = format_time(now, "%d %b %Y");
+    ctx["datetime"] = datetime_str;
+    ctx["date_string"] = date_str;
+    return ctx;
 }
 
-} // namespace workaround
-
-static common_chat_params common_chat_templates_apply_jinja(
-    const struct common_chat_templates        * tmpls,
-    const struct common_chat_templates_inputs & inputs)
-{
-    templates_params params;
+static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates *        tmpls,
+                                                            const struct common_chat_templates_inputs & inputs) {
+    autoparser::templates_params params;
     params.tools = common_chat_tools_to_json_oaicompat(inputs.tools);
     const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use
         ? *tmpls->template_tool_use
@@ -3061,11 +1515,24 @@ static common_chat_params common_chat_templates_apply_jinja(
     params.add_bos = tmpls->add_bos;
     params.add_eos = tmpls->add_eos;
 
+    if (src.find("<|channel|>") == std::string::npos) {
+        // map developer to system for all models except for GPT-OSS
+        workaround::map_developer_role_to_system(params.messages);
+    }
+    workaround::func_args_not_string(params.messages);
+
     if (!tmpl.original_caps().supports_system_role) {
         workaround::system_message_not_supported(params.messages);
     }
 
-    params.extra_context = json::object();
+    if (tmpl.original_caps().supports_tool_calls) {
+        // some templates will require the content field in tool call messages
+        // to still be non-null, this puts an empty string everywhere where the
+        // content field is null
+        workaround::requires_non_null_content(params.messages);
+    }
+
+    params.extra_context = common_chat_extra_context();
     for (auto el : inputs.chat_template_kwargs) {
         params.extra_context[el.first] = json::parse(el.second);
     }
@@ -3074,263 +1541,128 @@ static common_chat_params common_chat_templates_apply_jinja(
         params.json_schema = json::parse(inputs.json_schema);
     }
 
-    if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) {
-        LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n");
-        params.parallel_tool_calls = false;
-    } else {
-        params.parallel_tool_calls = inputs.parallel_tool_calls;
-    }
+    // if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) {
+    //     LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n");
+    //     params.parallel_tool_calls = false;
+    // } else {
+    params.parallel_tool_calls = inputs.parallel_tool_calls;
+    //}
 
     if (params.tools.is_array()) {
         if (params.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && !params.grammar.empty()) {
             throw std::runtime_error("Cannot specify grammar with tools");
         }
         if (caps.supports_tool_calls && !caps.supports_tools) {
-            LOG_WRN("Template supports tool calls but does not natively describe tools. The fallback behaviour used may produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n");
-        }
-    }
-
-    // DeepSeek V3.1: detect based on specific patterns in the template
-    if (src.find("message['prefix'] is defined and message['prefix'] and thinking") != std::string::npos &&
-        params.json_schema.is_null()) {
-        return common_chat_params_init_deepseek_v3_1(tmpl, params);
-    }
-
-    // DeepSeek R1: use handler in all cases except json schema (thinking / tools).
-    if (src.find("<｜tool▁calls▁begin｜>") != std::string::npos && params.json_schema.is_null()) {
-        return common_chat_params_init_deepseek_r1(tmpl, params);
-    }
-
-    // Command R7B: : use handler in all cases except json schema (thinking / tools).
-    if (src.find("<|END_THINKING|><|START_ACTION|>") != std::string::npos && params.json_schema.is_null()) {
-        workaround::func_args_not_string(params.messages);
-        return common_chat_params_init_command_r7b(tmpl, params);
-    }
-
-    // Granite (IBM) - detects thinking / tools support
-    if (src.find("elif thinking") != std::string::npos && src.find("<|tool_call|>") != std::string::npos) {
-        workaround::func_args_not_string(params.messages);
-        workaround::use_generic_schema(params.messages);
-        workaround::move_tool_calls_to_content(params.messages);
-        return common_chat_params_init_granite(tmpl, params);
-    }
-
-    // GLM 4.5: detect by <arg_key> and <arg_value> tags (check before Hermes since both use <tool_call>)
-    if (src.find("[gMASK]<sop>") != std::string::npos &&
-        src.find("<arg_key>") != std::string::npos &&
-        src.find("<arg_value>") != std::string::npos &&
-        params.json_schema.is_null()) {
-        workaround::func_args_not_string(params.messages);
-        if (!params.extra_context.contains("clear_thinking")) {
-            // by default, do not clear reasoning_content (added since GLM-4.7)
-            params.extra_context["clear_thinking"] = false;
-        }
-        return common_chat_params_init_glm_4_5(tmpl, params);
-    }
-
-    // Qwen3-Coder XML format detection (must come before Hermes 2 Pro)
-    // Detect via explicit XML markers unique to Qwen3-Coder to avoid false positives in other templates.
-    // Require presence of <tool_call>, <function=...>, and <parameter=...> blocks.
-    if (src.find("<tool_call>") != std::string::npos &&
-        src.find("<function>") != std::string::npos &&
-        src.find("<function=") != std::string::npos &&
-        src.find("<parameters>") != std::string::npos &&
-        src.find("<parameter=") != std::string::npos) {
-        workaround::func_args_not_string(params.messages);
-        // Nemotron 3 Nano 30B A3B
-        if (src.find("<think>") != std::string::npos) {
-            return common_chat_params_init_nemotron_v3(tmpl, params);
+            LOG_WRN(
+                "Template supports tool calls but does not natively describe tools. The fallback behaviour used may "
+                "produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n");
         }
-        return common_chat_params_init_qwen3_coder_xml(tmpl, params);
-    }
-
-    // Xiaomi MiMo format detection (must come before Hermes 2 Pro)
-    if (src.find("<tools>") != std::string::npos &&
-        src.find("# Tools") != std::string::npos &&
-        src.find("</tools>") != std::string::npos &&
-        src.find("<tool_calls>") != std::string::npos &&
-        src.find("</tool_calls>") != std::string::npos &&
-        src.find("<tool_response>") != std::string::npos) {
-        return common_chat_params_init_xiaomi_mimo(tmpl, params);
     }
 
-    // EXAONE MoE format detection
-    if (src.find("<tool_call>") != std::string::npos &&
-        src.find("<tool_result>") != std::string::npos &&
-        src.find("<|tool_declare|>") != std::string::npos) {
-        return common_chat_params_init_exaone_moe(tmpl, params);
-    }
-
-    // Hermes 2/3 Pro, Qwen 2.5 Instruct (w/ tools)
-    if (src.find("<tool_call>") != std::string::npos && params.json_schema.is_null()) {
-        return common_chat_params_init_hermes_2_pro(tmpl, params);
+    // Ministral/Mistral Large 3 - uses special reasoning structure fixes, can't use autoparser
+    // Note: Mistral Small 3.2 uses [CALL_ID] which Ministral doesn't have, so we can distinguish them
+    if (src.find("[SYSTEM_PROMPT]") != std::string::npos && src.find("[TOOL_CALLS]") != std::string::npos &&
+        src.find("[ARGS]") != std::string::npos && src.find("[CALL_ID]") == std::string::npos) {
+        LOG_DBG("Using specialized template: Ministral/Magistral Large 3\n");
+        return common_chat_params_init_ministral_3(tmpl, params);
     }
 
-    // GPT-OSS
+    // GPT-OSS - has unique channel-based structure that needs dedicated handler
     if (src.find("<|channel|>") != std::string::npos) {
+        LOG_DBG("Using specialized template: GPT-OSS\n");
         return common_chat_params_init_gpt_oss(tmpl, params);
     }
 
-    // Seed-OSS
-    if (src.find("<seed:think>") != std::string::npos) {
-        workaround::func_args_not_string(params.messages);
-        return common_chat_params_init_seed_oss(tmpl, params, inputs);
-    }
-
-    // Nemotron v2
-    if (src.find("<SPECIAL_10>") != std::string::npos) {
-        return common_chat_params_init_nemotron_v2(tmpl, params);
-    }
-
-    // Apertus format detection
-    if (src.find("<|system_start|>") != std::string::npos && src.find("<|tools_prefix|>") != std::string::npos) {
-        return common_chat_params_init_apertus(tmpl, params);
-    }
-
-    // LFM2 (w/ tools)
-    if (src.find("List of tools: <|tool_list_start|>[") != std::string::npos &&
-        src.find("]<|tool_list_end|>") != std::string::npos) {
-        return common_chat_params_init_lfm2(tmpl, params);
-    }
-
-    // MiniMax-M2 format detection
-    if (src.find("]~!b[") != std::string::npos && src.find("]~b]") != std::string::npos) {
-        workaround::func_args_not_string(params.messages);
-        return common_chat_params_init_minimax_m2(tmpl, params);
-    }
-
-    // Kimi K2 format detection
-    if (src.find("<|im_system|>tool_declare<|im_middle|>") != std::string::npos &&
-        src.find("<|tool_calls_section_begin|>") != std::string::npos &&
-        src.find("## Return of") != std::string::npos) {
-        return common_chat_params_init_kimi_k2(tmpl, params);
-    }
-
-    // Apriel 1.5 format detection
-    if (src.find("<thinking>") != std::string::npos &&
-        src.find("</thinking>") != std::string::npos &&
-        src.find("<available_tools>") != std::string::npos &&
-        src.find("<|assistant|>") != std::string::npos &&
-        src.find("<|tool_result|>") != std::string::npos &&
-        src.find("<tool_calls>[") != std::string::npos &&
-        src.find("]</tool_calls>") != std::string::npos) {
-        return common_chat_params_init_apriel_1_5(tmpl, params);
-    }
-
-    // Solar Open
-    if (src.find("<|tool_response:begin|>") != std::string::npos &&
-        src.find("<|tool_response:name|>") != std::string::npos &&
-        src.find("<|tool_response:result|>") != std::string::npos) {
-        return common_chat_params_init_solar_open(tmpl, params);
-    }
-
-    // Use generic handler when mixing tools + JSON schema.
-    // TODO: support that mix in handlers below.
-    if ((params.tools.is_array() && params.json_schema.is_object())) {
-        return common_chat_params_init_generic(tmpl, params);
-    }
-
-    // Functionary prepends "all\n" to plain content outputs, so we use its handler in all cases.
-    if (src.find(">>>all") != std::string::npos) {
+    // Functionary v3.2 - uses recipient-based format with >>>recipient\n{content}
+    // Detection: template has ">>>all" for content and ">>>" prefix for tool calls
+    if (src.find(">>>all") != std::string::npos && src.find(">>>${recipient}") != std::string::npos) {
+        LOG_DBG("Using specialized template: Functionary v3.2\n");
         return common_chat_params_init_functionary_v3_2(tmpl, params);
     }
 
-    // Firefunction v2 requires datetime and functions in the context even w/o tools, so we also use its handler in all cases.
-    if (src.find(" functools[") != std::string::npos) {
-        return common_chat_params_init_firefunction_v2(tmpl, params);
-    }
-
-    // Functionary v3.1 (w/ tools)
-    if (src.find("<|start_header_id|>") != std::string::npos
-        && src.find("<function=") != std::string::npos) {
-        return common_chat_params_init_functionary_v3_1_llama_3_1(tmpl, params);
-    }
-
-    // Llama 3.1, 3.2, 3.3 (also requires date_string so using it even w/o tools)
-    if (src.find("<|start_header_id|>ipython<|end_header_id|>") != std::string::npos) {
-        auto allow_python_tag_builtin_tools = src.find("<|python_tag|>") != std::string::npos;
-        workaround::func_args_not_string(params.messages);
-        return common_chat_params_init_llama_3_x(tmpl, params, allow_python_tag_builtin_tools);
-    }
-
-    // Ministral/Mistral Large 3
-    if (src.find("[SYSTEM_PROMPT]") != std::string::npos &&
-        src.find("[TOOL_CALLS]") != std::string::npos &&
-        src.find("[ARGS]") != std::string::npos) {
-        return common_chat_params_init_ministral_3(tmpl, params);
-    }
-
-    if (src.find("[THINK]") != std::string::npos && src.find("[/THINK]") != std::string::npos) {
-        return common_chat_params_init_magistral(tmpl, params);
-    }
-
-    // Solar Open
-    if (src.find("<|tool_response:begin|>") != std::string::npos &&
-        src.find("<|tool_response:name|>") != std::string::npos &&
-        src.find("<|tool_response:result|>") != std::string::npos) {
-        return common_chat_params_init_solar_open(tmpl, params);
+    // Kimi K2 Thinking - uses unique tool call ID format: functions.<name>:<index>
+    // Detection: template has "<|tool_calls_section_begin|>" and "functions." prefix in tool call IDs
+    if (src.find("<|tool_calls_section_begin|>") != std::string::npos &&
+        src.find("<|tool_call_begin|>") != std::string::npos) {
+        LOG_DBG("Using specialized template: Kimi K2 Thinking\n");
+        return common_chat_params_init_kimi_k2(tmpl, params);
     }
 
-    // TranslateGemma
-    if (src.find("[source_lang_code]") != std::string::npos &&
-        src.find("[target_lang_code]") != std::string::npos) {
-        return common_chat_params_init_translate_gemma(tmpl, params);
+    // LFM2 - uses <|tool_list_start|>/<|tool_list_end|> markers and <|tool_call_start|>[name(args)]<|tool_call_end|> format
+    // Detection: template has "<|tool_list_start|>" and "<|tool_list_end|>" markers
+    if (src.find("<|tool_list_start|>") != std::string::npos &&
+        src.find("<|tool_list_end|>") != std::string::npos) {
+        LOG_DBG("Using specialized template: LFM2\n");
+        return common_chat_params_init_lfm2(tmpl, params);
     }
 
-    // Plain handler (no tools)
-    if (params.tools.is_null() || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
-        return common_chat_params_init_without_tools(tmpl, params);
+    // GigaChatV3 format detection
+    if (src.find("<|role_sep|>") != std::string::npos &&
+        src.find("<|message_sep|>") != std::string::npos &&
+        src.find("<|function_call|>") == std::string::npos
+    ) {
+        LOG_DBG("Using specialized template: GigaChatV3\n");
+        return common_chat_params_init_gigachat_v3(tmpl, params);
     }
 
-    // Mistral Nemo (w/ tools)
-    if (src.find("[TOOL_CALLS]") != std::string::npos) {
-        workaround::func_args_not_string(params.messages);
-        return common_chat_params_init_mistral_nemo(tmpl, params);
+    try {
+        LOG_DBG("Using differential autoparser\n");
+        struct autoparser::autoparser autoparser;
+        autoparser.analyze_template(tmpl);
+        auto auto_params = autoparser::peg_generator::generate_parser(tmpl, params, autoparser);
+        auto_params.supports_thinking = autoparser.reasoning.mode != autoparser::reasoning_mode::NONE;
+        if (auto_params.supports_thinking) {
+            auto_params.thinking_start_tag = autoparser.reasoning.start;
+            auto_params.thinking_end_tag   = autoparser.reasoning.end;
+            // FORCED_OPEN and FORCED_CLOSED both put <think> in the generation prompt
+            // (FORCED_CLOSED forces empty <think></think> when thinking is disabled,
+            //  but forces <think> open when thinking is enabled)
+            auto_params.thinking_forced_open =
+                autoparser.reasoning.mode == autoparser::reasoning_mode::FORCED_OPEN ||
+                autoparser.reasoning.mode == autoparser::reasoning_mode::FORCED_CLOSED;
+        }
+        return auto_params;
+    } catch (const std::exception & e) {
+        throw std::invalid_argument(std::string("Unable to generate parser for this template. Automatic parser generation failed: ") + e.what());
     }
-
-    // Generic fallback
-    workaround::func_args_not_string(params.messages);
-    workaround::use_generic_schema(params.messages);
-    workaround::move_tool_calls_to_content(params.messages);
-    return common_chat_params_init_generic(tmpl, params);
 }
 
 // Legacy template route (adhoc C++ implementation of known templates), forward to llama_chat_apply_template.
-static common_chat_params common_chat_templates_apply_legacy(
-    const struct common_chat_templates * tmpls,
-    const struct common_chat_templates_inputs & inputs)
-{
-    size_t alloc_size = 0;
+static common_chat_params common_chat_templates_apply_legacy(const struct common_chat_templates *        tmpls,
+                                                             const struct common_chat_templates_inputs & inputs) {
+    size_t                          alloc_size = 0;
     std::vector<llama_chat_message> chat;
-    std::vector<std::string> contents;
+    std::vector<std::string>        contents;
 
     for (const auto & msg : inputs.messages) {
         auto content = msg.content;
         for (const auto & part : msg.content_parts) {
-            if (part.type != "text") {
+            if (part.type != "text" && part.type != "media_marker") {
                 LOG_WRN("Ignoring non-text content part: %s\n", part.type.c_str());
                 continue;
             }
             if (!content.empty()) {
-                content += "\n";;
+                content += "\n";
+                ;
             }
             content += part.text;
         }
         contents.emplace_back(std::move(content));
     }
     for (size_t i = 0; i < contents.size(); ++i) {
-        const auto & msg = inputs.messages[i];
+        const auto & msg     = inputs.messages[i];
         const auto & content = contents[i];
-        chat.push_back({msg.role.c_str(), content.c_str()});
+        chat.push_back({ msg.role.c_str(), content.c_str() });
         size_t msg_size = msg.role.size() + content.size();
-        alloc_size += msg_size + (msg_size / 4); // == msg_size * 1.25 but avoiding float ops
+        alloc_size += msg_size + (msg_size / 4);  // == msg_size * 1.25 but avoiding float ops
     }
 
     std::vector<char> buf(alloc_size);
 
     // run the first time to get the total output length
     const auto & src = tmpls->template_default->source();
-    int32_t res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), buf.size());
+    int32_t      res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt,
+                                                 buf.data(), buf.size());
 
     // error: chat template is not supported
     if (res < 0) {
@@ -3342,7 +1674,8 @@ static common_chat_params common_chat_templates_apply_legacy(
     // if it turns out that our buffer is too small, we resize it
     if ((size_t) res > buf.size()) {
         buf.resize(res);
-        res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), buf.size());
+        res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(),
+                                        buf.size());
     }
 
     // for safety, we check the result again
@@ -3360,14 +1693,76 @@ static common_chat_params common_chat_templates_apply_legacy(
     return params;
 }
 
-common_chat_params common_chat_templates_apply(
-    const struct common_chat_templates * tmpls,
-    const struct common_chat_templates_inputs & inputs)
-{
+common_chat_params common_chat_templates_apply(const struct common_chat_templates *        tmpls,
+                                               const struct common_chat_templates_inputs & inputs) {
     GGML_ASSERT(tmpls != nullptr);
-    return inputs.use_jinja
-        ? common_chat_templates_apply_jinja(tmpls, inputs)
-        : common_chat_templates_apply_legacy(tmpls, inputs);
+    return inputs.use_jinja ? common_chat_templates_apply_jinja(tmpls, inputs) :
+                              common_chat_templates_apply_legacy(tmpls, inputs);
+}
+
+common_chat_msg common_chat_parse(const std::string &               input,
+                                  bool                              is_partial,
+                                  const common_chat_parser_params & params) {
+    return common_chat_peg_parse(params.parser, input, is_partial, params);
+}
+
+common_chat_msg common_chat_peg_parse(const common_peg_arena &          src_parser,
+                                      const std::string &               input,
+                                      bool                              is_partial,
+                                      const common_chat_parser_params & params) {
+    const common_peg_arena & parser = src_parser.empty() ?
+        build_chat_peg_parser([](common_chat_peg_builder & p) { return p.content(p.rest()) + p.end(); }) :
+        src_parser;
+
+    if (src_parser.empty()) {
+        LOG_DBG("No parser definition detected, assuming pure content parser.");
+    }
+
+    LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), input.c_str());
+
+    common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_LENIENT;
+    if (params.debug) {
+        flags |= COMMON_PEG_PARSE_FLAG_DEBUG;
+    }
+
+    common_peg_parse_context ctx(input, flags);
+    auto result = parser.parse(ctx);
+
+    if (result.fail()) {
+        // During partial parsing, return partial results if any AST nodes were captured
+        // This allows streaming to work correctly for formats like FUNC_MARKDOWN_CODE_BLOCK
+        if (is_partial && result.end > 0) {
+            // Try to extract any partial results from what was successfully parsed
+            common_chat_msg msg;
+            msg.role = "assistant";
+            auto mapper = common_chat_peg_mapper(msg);
+            mapper.from_ast(ctx.ast, result);
+
+            if (ctx.is_debug()) {
+                fprintf(stderr, "\nAST for partial parse (fail):\n%s\n", ctx.ast.dump().c_str());
+                fflush(stderr);
+            }
+            return msg;
+        }
+        throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end) + ": " +
+                                 input.substr(result.end));
+    }
+
+    common_chat_msg msg;
+    msg.role = "assistant";
+
+    auto mapper = common_chat_peg_mapper(msg);
+    mapper.from_ast(ctx.ast, result);
+
+    if (ctx.is_debug()) {
+        fprintf(stderr, "\nAST for %s parse:\n%s\n", is_partial ? "partial" : "full", ctx.ast.dump().c_str());
+        fflush(stderr);
+    }
+
+    if (!is_partial) {
+        LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({ msg }).at(0).dump().c_str());
+    }
+    return msg;
 }
 
 std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates) {
@@ -3375,3 +1770,4 @@ std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_tem
     GGML_ASSERT(chat_templates->template_default != nullptr);
     return chat_templates->template_default->caps.to_map();
 }
+
diff --git a/common/chat.h b/common/chat.h
index 1bf43f72617..930987cf77b 100644
--- a/common/chat.h
+++ b/common/chat.h
@@ -3,17 +3,30 @@
 #pragma once
 
 #include "common.h"
+#include "jinja/parser.h"
+#include "nlohmann/json_fwd.hpp"
 #include "peg-parser.h"
-#include <functional>
+#include "jinja/runtime.h"
+#include "jinja/caps.h"
+#include "nlohmann/json.hpp"
+
 #include <chrono>
+#include <functional>
+#include <map>
 #include <string>
 #include <vector>
-#include <map>
+
+using chat_template_caps = jinja::caps;
+using json = nlohmann::ordered_json;
 
 #include <nlohmann/json_fwd.hpp>
 
 struct common_chat_templates;
 
+namespace autoparser {
+struct templates_params;
+}  // namespace autoparser
+
 struct common_chat_tool_call {
     std::string name;
     std::string arguments;
@@ -38,21 +51,85 @@ struct common_chat_msg_content_part {
     }
 };
 
+struct common_chat_template {
+    jinja::program prog;
+    std::string bos_tok;
+    std::string eos_tok;
+    std::string src;
+    chat_template_caps caps;
+
+    common_chat_template(const std::string & src, const std::string & bos_token, const std::string & eos_token) {
+        jinja::lexer lexer;
+        auto lexer_res = lexer.tokenize(src);
+        this->prog = jinja::parse_from_tokens(lexer_res);
+
+        this->src = lexer_res.source;
+        this->bos_tok = bos_token;
+        this->eos_tok = eos_token;
+
+        this->caps = jinja::caps_get(prog);
+        // LOG_INF("%s: caps:\n%s\n", __func__, this->caps.to_string().c_str());
+    }
+
+    const std::string & source() const { return src; }
+    const std::string & bos_token() const { return bos_tok; }
+    const std::string & eos_token() const { return eos_tok; }
+
+    // TODO: this is ugly, refactor it somehow
+    json add_system(const json & messages, const std::string & system_prompt) const {
+        GGML_ASSERT(messages.is_array());
+        auto msgs_copy = messages;
+        if (!caps.supports_system_role) {
+            if (msgs_copy.empty()) {
+                msgs_copy.insert(msgs_copy.begin(), json{
+                    {"role", "user"},
+                    {"content", system_prompt}
+                });
+            } else {
+                auto & first_msg = msgs_copy[0];
+                if (!first_msg.contains("content")) {
+                    first_msg["content"] = "";
+                }
+                first_msg["content"] = system_prompt + "\n\n"
+                    + first_msg["content"].get<std::string>();
+            }
+        } else {
+            if (msgs_copy.empty() || msgs_copy[0].at("role") != "system") {
+                msgs_copy.insert(msgs_copy.begin(), json{
+                    {"role", "system"},
+                    {"content", system_prompt}
+                });
+            } else if (msgs_copy[0].at("role") == "system") {
+                msgs_copy[0]["content"] = system_prompt;
+            }
+        }
+        return msgs_copy;
+    }
+
+    chat_template_caps original_caps() const {
+        return caps;
+    }
+
+};
+
 struct common_chat_msg {
-    std::string role;
-    std::string content;
+    std::string                               role;
+    std::string                               content;
     std::vector<common_chat_msg_content_part> content_parts;
-    std::vector<common_chat_tool_call> tool_calls;
-    std::string reasoning_content;
-    std::string tool_name;
-    std::string tool_call_id;
+    std::vector<common_chat_tool_call>        tool_calls;
+    std::string                               reasoning_content;
+    std::string                               tool_name;
+    std::string                               tool_call_id;
 
     nlohmann::ordered_json to_json_oaicompat(bool concat_typed_text = false) const;
 
     bool empty() const {
-        return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() && tool_name.empty() && tool_call_id.empty();
+        return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() &&
+               tool_name.empty() && tool_call_id.empty();
     }
-    void set_tool_call_ids(std::vector<std::string> & ids_cache, const std::function<std::string()> & gen_tool_call_id) {
+
+    void set_tool_call_ids(std::vector<std::string> &           ids_cache,
+                           const std::function<std::string()> & gen_tool_call_id) {
         for (auto i = 0u; i < tool_calls.size(); i++) {
             if (ids_cache.size() <= i) {
                 auto id = tool_calls[i].id;
@@ -64,32 +141,28 @@ struct common_chat_msg {
             tool_calls[i].id = ids_cache[i];
         }
     }
+
     bool operator==(const common_chat_msg & other) const {
-        return role == other.role
-            && content == other.content
-            && content_parts == other.content_parts
-            && tool_calls == other.tool_calls
-            && reasoning_content == other.reasoning_content
-            && tool_name == other.tool_name
-            && tool_call_id == other.tool_call_id;
-    }
-    bool operator!=(const common_chat_msg & other) const {
-        return !(*this == other);
+        return role == other.role && content == other.content && content_parts == other.content_parts &&
+               tool_calls == other.tool_calls && reasoning_content == other.reasoning_content &&
+               tool_name == other.tool_name && tool_call_id == other.tool_call_id;
     }
+
+    bool operator!=(const common_chat_msg & other) const { return !(*this == other); }
 };
 
 struct common_chat_msg_diff {
-    std::string reasoning_content_delta;
-    std::string content_delta;
-    size_t tool_call_index = std::string::npos;
+    std::string           reasoning_content_delta;
+    std::string           content_delta;
+    size_t                tool_call_index = std::string::npos;
     common_chat_tool_call tool_call_delta;
 
-    static std::vector<common_chat_msg_diff> compute_diffs(const common_chat_msg & msg_prv, const common_chat_msg & msg_new);
+    static std::vector<common_chat_msg_diff> compute_diffs(const common_chat_msg & msg_prv,
+                                                           const common_chat_msg & msg_new);
 
     bool operator==(const common_chat_msg_diff & other) const {
-        return content_delta == other.content_delta
-        && tool_call_index == other.tool_call_index
-        && tool_call_delta == other.tool_call_delta;
+        return content_delta == other.content_delta && tool_call_index == other.tool_call_index &&
+               tool_call_delta == other.tool_call_delta;
     }
 };
 
@@ -107,65 +180,41 @@ enum common_chat_tool_choice {
 
 enum common_chat_format {
     COMMON_CHAT_FORMAT_CONTENT_ONLY,
-    COMMON_CHAT_FORMAT_GENERIC,
-    COMMON_CHAT_FORMAT_MISTRAL_NEMO,
-    COMMON_CHAT_FORMAT_MAGISTRAL,
-    COMMON_CHAT_FORMAT_LLAMA_3_X,
-    COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
-    COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-    COMMON_CHAT_FORMAT_FIREFUNCTION_V2,
-    COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2,
-    COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1,
-    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-    COMMON_CHAT_FORMAT_HERMES_2_PRO,
-    COMMON_CHAT_FORMAT_COMMAND_R7B,
-    COMMON_CHAT_FORMAT_GRANITE,
-    COMMON_CHAT_FORMAT_GPT_OSS,
-    COMMON_CHAT_FORMAT_SEED_OSS,
-    COMMON_CHAT_FORMAT_NEMOTRON_V2,
-    COMMON_CHAT_FORMAT_APERTUS,
-    COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS,
-    COMMON_CHAT_FORMAT_GLM_4_5,
-    COMMON_CHAT_FORMAT_MINIMAX_M2,
-    COMMON_CHAT_FORMAT_KIMI_K2,
-    COMMON_CHAT_FORMAT_QWEN3_CODER_XML,
-    COMMON_CHAT_FORMAT_APRIEL_1_5,
-    COMMON_CHAT_FORMAT_XIAOMI_MIMO,
-    COMMON_CHAT_FORMAT_SOLAR_OPEN,
-    COMMON_CHAT_FORMAT_EXAONE_MOE,
 
     // These are intended to be parsed by the PEG parser
     COMMON_CHAT_FORMAT_PEG_SIMPLE,
     COMMON_CHAT_FORMAT_PEG_NATIVE,
-    COMMON_CHAT_FORMAT_PEG_CONSTRUCTED,
 
-    COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats
+    COMMON_CHAT_FORMAT_COUNT,  // Not a format, just the # formats
 };
 
 struct common_chat_templates_inputs {
-    std::vector<common_chat_msg> messages;
-    std::string grammar;
-    std::string json_schema;
-    bool add_generation_prompt = true;
-    bool use_jinja = true;
+    std::vector<common_chat_msg>          messages;
+    std::string                           grammar;
+    std::string                           json_schema;
+    bool                                  add_generation_prompt = true;
+    bool                                  use_jinja             = true;
     // Parameters below only supported when use_jinja is true
-    std::vector<common_chat_tool> tools;
-    common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO;
-    bool parallel_tool_calls = false;
-    common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool enable_thinking"
-    bool enable_thinking = true;
-    std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
-    std::map<std::string, std::string> chat_template_kwargs;
-    bool add_bos = false;
-    bool add_eos = false;
+    std::vector<common_chat_tool>         tools;
+    common_chat_tool_choice               tool_choice         = COMMON_CHAT_TOOL_CHOICE_AUTO;
+    bool                                  parallel_tool_calls = false;
+    common_reasoning_format               reasoning_format    = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool enable_thinking"
+    bool                                  enable_thinking     = true;
+    std::chrono::system_clock::time_point now                 = std::chrono::system_clock::now();
+    std::map<std::string, std::string>    chat_template_kwargs;
+    bool                                  add_bos = false;
+    bool                                  add_eos = false;
 };
 
 struct common_chat_params {
     common_chat_format                  format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
     std::string                         prompt;
     std::string                         grammar;
-    bool                                grammar_lazy = false;
+    bool                                grammar_lazy         = false;
     bool                                thinking_forced_open = false;
+    bool                                supports_thinking    = false;
+    std::string                         thinking_start_tag;  // e.g., "<think>"
+    std::string                         thinking_end_tag;    // e.g., "</think>"
     std::vector<common_grammar_trigger> grammar_triggers;
     std::vector<std::string>            preserved_tokens;
     std::vector<std::string>            additional_stops;
@@ -175,13 +224,14 @@ struct common_chat_params {
 // per-message parsing syntax
 // should be derived from common_chat_params
 struct common_chat_parser_params {
-    common_chat_format       format                = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    common_reasoning_format  reasoning_format      = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning"
+    common_chat_format      format               = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    common_reasoning_format reasoning_format     = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning"
     // Whether reasoning_content should be inlined in the content (e.g. for reasoning_format=deepseek in stream mode)
-    bool                     reasoning_in_content  = false;
-    bool                     thinking_forced_open  = false;
-    bool                     parse_tool_calls      = true;
-    common_peg_arena         parser                = {};
+    bool                    reasoning_in_content = false;
+    bool                    thinking_forced_open = false;
+    bool                    parse_tool_calls     = true;
+    bool                    debug                = false;  // Enable debug output for PEG parser
+    common_peg_arena        parser               = {};
     common_chat_parser_params() = default;
     common_chat_parser_params(const common_chat_params & chat_params) {
         format               = chat_params.format;
@@ -194,45 +244,42 @@ bool common_chat_verify_template(const std::string & tmpl, bool use_jinja);
 
 void common_chat_templates_free(struct common_chat_templates * tmpls);
 
-struct common_chat_templates_deleter { void operator()(common_chat_templates * tmpls) { common_chat_templates_free(tmpls); } };
+struct common_chat_templates_deleter {
+    void operator()(common_chat_templates * tmpls) { common_chat_templates_free(tmpls); }
+};
 
 typedef std::unique_ptr<struct common_chat_templates, common_chat_templates_deleter> common_chat_templates_ptr;
 
-common_chat_templates_ptr common_chat_templates_init(
-                                    const struct llama_model * model,
-                                           const std::string & chat_template_override,
-                                           const std::string & bos_token_override = "",
-                                           const std::string & eos_token_override = "");
+common_chat_templates_ptr common_chat_templates_init(const struct llama_model * model,
+                                                     const std::string &        chat_template_override,
+                                                     const std::string &        bos_token_override = "",
+                                                     const std::string &        eos_token_override = "");
 
 bool         common_chat_templates_was_explicit(const struct common_chat_templates * tmpls);
 std::string  common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = "");
 
-
-struct common_chat_params      common_chat_templates_apply(
-    const struct common_chat_templates * tmpls,
-    const struct common_chat_templates_inputs & inputs);
+struct common_chat_params common_chat_templates_apply(const struct common_chat_templates *        tmpls,
+                                                      const struct common_chat_templates_inputs & inputs);
 
 // Format single message, while taking into account the position of that message in chat history
-std::string common_chat_format_single(
-        const struct common_chat_templates * tmpls,
-        const std::vector<common_chat_msg> & past_msg,
-        const common_chat_msg & new_msg,
-        bool add_ass,
-        bool use_jinja);
+std::string common_chat_format_single(const struct common_chat_templates * tmpls,
+                                      const std::vector<common_chat_msg> & past_msg,
+                                      const common_chat_msg &              new_msg,
+                                      bool                                 add_ass,
+                                      bool                                 use_jinja);
 
 // Returns an example of formatted chat
-std::string common_chat_format_example(
-    const struct common_chat_templates * tmpls,
-    bool use_jinja,
-    const std::map<std::string, std::string> & chat_template_kwargs);
+std::string common_chat_format_example(const struct common_chat_templates *       tmpls,
+                                       bool                                       use_jinja,
+                                       const std::map<std::string, std::string> & chat_template_kwargs);
 
-const char*               common_chat_format_name(common_chat_format format);
-common_chat_msg           common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & syntax);
-common_chat_msg           common_chat_peg_parse(const common_peg_arena & parser, const std::string & input, bool is_partial, const common_chat_parser_params & syntax);
+const char *            common_chat_format_name(common_chat_format format);
+common_chat_msg           common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & params);
+common_chat_msg           common_chat_peg_parse(const common_peg_arena & src_parser, const std::string & input, bool is_partial, const common_chat_parser_params & params);
 
 // used by arg and server
-const char *             common_reasoning_format_name(common_reasoning_format format);
-common_reasoning_format  common_reasoning_format_from_name(const std::string & format);
+const char *            common_reasoning_format_name(common_reasoning_format format);
+common_reasoning_format common_reasoning_format_from_name(const std::string & format);
 
 common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice);
 
@@ -251,3 +298,10 @@ nlohmann::ordered_json common_chat_msg_diff_to_json_oaicompat(const common_chat_
 
 // get template caps, useful for reporting to server /props endpoint
 std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates);
+
+std::string common_chat_template_direct_apply(
+    const common_chat_template & tmpl,
+    const autoparser::templates_params & inputs,
+    const std::optional<json> & messages_override = std::nullopt,
+    const std::optional<json> & tools_override = std::nullopt,
+    const std::optional<json> & additional_context = std::nullopt);
diff --git a/common/common.cpp b/common/common.cpp
index 93474f88c72..cc423d3439f 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1,7 +1,3 @@
-#if defined(_MSC_VER)
-#define _SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING
-#endif
-
 #include "ggml.h"
 #include "gguf.h"
 
@@ -9,12 +5,12 @@
 #include "log.h"
 #include "llama.h"
 #include "sampling.h"
+#include "unicode.h"
 
 #include <algorithm>
 #include <cinttypes>
 #include <climits>
 #include <cmath>
-#include <codecvt>
 #include <chrono>
 #include <cstdarg>
 #include <cstring>
@@ -456,34 +452,6 @@ void string_replace_all(std::string & s, const std::string & search, const std::
     s = std::move(builder);
 }
 
-bool string_ends_with(const std::string_view & str, const std::string_view & suffix) {
-    return str.size() >= suffix.size() && str.compare(str.size()-suffix.size(), suffix.size(), suffix) == 0;
-}
-
-bool string_remove_suffix(std::string & str, const std::string_view & suffix) {
-    bool has_suffix = string_ends_with(str, suffix);
-    if (has_suffix) {
-        str = str.substr(0, str.size() - suffix.size());
-    }
-    return has_suffix;
-}
-
-size_t string_find_partial_stop(const std::string_view & str, const std::string_view & stop) {
-    if (!str.empty() && !stop.empty()) {
-        const char text_last_char = str.back();
-        for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) {
-            if (stop[char_index] == text_last_char) {
-                const auto current_partial = stop.substr(0, char_index + 1);
-                if (string_ends_with(str, current_partial)) {
-                    return str.size() - char_index - 1;
-                }
-            }
-        }
-    }
-
-    return std::string::npos;
-}
-
 std::string regex_escape(const std::string & s) {
     static const std::regex special_chars("[.^$|()*+?\\[\\]{}\\\\]");
     return std::regex_replace(s, special_chars, "\\$&");
@@ -706,45 +674,28 @@ bool fs_validate_filename(const std::string & filename, bool allow_subdirs) {
         return false;
     }
 
-    std::u32string filename_utf32;
-    try {
-#if defined(__clang__)
-        // disable C++17 deprecation warning for std::codecvt_utf8
-#    pragma clang diagnostic push
-#    pragma clang diagnostic ignored "-Wdeprecated-declarations"
-#elif defined(__GNUC__)
-#    pragma GCC diagnostic push
-#    pragma GCC diagnostic ignored "-Wdeprecated-declarations"
-#endif
-
-        std::wstring_convert<std::codecvt_utf8<char32_t>, char32_t> converter;
+    size_t offset = 0;
+    while (offset < filename.size()) {
+        utf8_parse_result result = common_parse_utf8_codepoint(filename, offset);
 
-#if defined(__clang__)
-#    pragma clang diagnostic pop
-#elif defined(__GNUC__)
-#    pragma GCC diagnostic pop
-#endif
-
-        filename_utf32 = converter.from_bytes(filename);
+        if (result.status != utf8_parse_result::SUCCESS) {
+            return false;
+        }
+        uint32_t c = result.codepoint;
 
-        // If the reverse conversion mismatches, it means overlong UTF-8 sequences were used,
-        // or invalid encodings were encountered. Reject such attempts
-        std::string filename_reencoded = converter.to_bytes(filename_utf32);
-        if (filename_reencoded != filename) {
+        if ((result.bytes_consumed == 2 && c < 0x80) ||
+            (result.bytes_consumed == 3 && c < 0x800) ||
+            (result.bytes_consumed == 4 && c < 0x10000)) {
             return false;
         }
-    } catch (const std::exception &) {
-        return false;
-    }
 
-    // Check for forbidden codepoints:
-    // - Control characters
-    // - Unicode equivalents of illegal characters
-    // - UTF-16 surrogate pairs
-    // - UTF-8 replacement character
-    // - Byte order mark (BOM)
-    // - Illegal characters: / \ : * ? " < > |
-    for (char32_t c : filename_utf32) {
+        // Check for forbidden codepoints:
+        // - Control characters
+        // - Unicode equivalents of illegal characters
+        // - UTF-16 surrogate pairs
+        // - UTF-8 replacement character
+        // - Byte order mark (BOM)
+        // - Illegal characters: / \ : * ? " < > |
         if (c <= 0x1F // Control characters (C0)
             || c == 0x7F // Control characters (DEL)
             || (c >= 0x80 && c <= 0x9F) // Control characters (C1)
@@ -752,6 +703,7 @@ bool fs_validate_filename(const std::string & filename, bool allow_subdirs) {
             || c == 0x2215 // Division Slash (forward slash equivalent)
             || c == 0x2216 // Set Minus (backslash equivalent)
             || (c >= 0xD800 && c <= 0xDFFF) // UTF-16 surrogate pairs
+            || c > 0x10FFFF // Max Unicode limit
             || c == 0xFFFD // Replacement Character (UTF-8)
             || c == 0xFEFF // Byte Order Mark (BOM)
             || c == ':' || c == '*' // Illegal characters
@@ -762,6 +714,7 @@ bool fs_validate_filename(const std::string & filename, bool allow_subdirs) {
             // Subdirectories not allowed, reject path separators
             return false;
         }
+        offset += result.bytes_consumed;
     }
 
     // Reject any leading or trailing ' ', or any trailing '.', these are stripped on Windows and will cause a different filename
@@ -898,7 +851,8 @@ std::string fs_get_cache_directory() {
     if (getenv("LLAMA_CACHE")) {
         cache_directory = std::getenv("LLAMA_CACHE");
     } else {
-#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || defined(__OpenBSD__)
+#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || \
+        defined(__OpenBSD__) || defined(__NetBSD__)
         if (std::getenv("XDG_CACHE_HOME")) {
             cache_directory = std::getenv("XDG_CACHE_HOME");
         } else if (std::getenv("HOME")) {
@@ -1242,7 +1196,7 @@ common_init_result_ptr common_init_from_params(common_params & params) {
             return res;
         }
 
-        int err = llama_apply_adapter_cvec(
+        int err = llama_set_adapter_cvec(
                 lctx,
                 cvec.data.data(),
                 cvec.data.size(),
@@ -1344,12 +1298,15 @@ std::string get_model_endpoint() {
 }
 
 void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora) {
-    llama_clear_adapter_lora(ctx);
-    for (auto & la : lora) {
-        if (la.scale != 0.0f) {
-            llama_set_adapter_lora(ctx, la.ptr, la.scale);
-        }
+    std::vector<llama_adapter_lora *> loras;
+    std::vector<float> scales;
+
+    for (auto & la: lora) {
+        loras.push_back(la.ptr);
+        scales.push_back(la.scale);
     }
+
+    llama_set_adapters_lora(ctx, loras.data(), loras.size(), scales.data());
 }
 
 struct llama_model_params common_model_params_to_llama(common_params & params) {
@@ -1803,3 +1760,65 @@ float lr_opt::get_lr(float epoch) const {
     LOG_INF("epoch %.2g lr=%.2g\n", epoch, r);
     return r;
 }
+
+bool common_replay_last_token(struct llama_context * ctx, llama_token last_token, int32_t pos) {
+    llama_batch batch = llama_batch_get_one(&last_token, 1);
+    batch.pos = &pos;
+    if (llama_decode(ctx, batch)) {
+        LOG_ERR("%s: failed to replay last token\n", __func__);
+        return false;
+    }
+    return true;
+}
+
+bool common_prompt_batch_decode(
+              struct llama_context * ctx,
+    const std::vector<llama_token> & tokens,
+                               int & n_past,
+                               int   n_batch,
+                  std::string_view   state_path,
+                              bool   save_state) {
+    const int n_eval = tokens.size();
+    if (n_eval == 0) {
+        return true;
+    }
+
+    if (save_state && n_eval > 1) {
+        const int n_tokens_before_last = n_eval - 1;
+
+        GGML_ASSERT(n_eval <= n_batch);
+
+        // Decode all but the last token so we can save the memory state before decoding the last token.
+        // This is done so we can restore the session state later and replay the last token.
+        // Memory implementations in recurrent/hybrid models don't support removing tokens from their
+        // memory, so we can't just remove the last token from the memory and replay the last token which
+        // is the reason for this logic.
+        if (llama_decode(ctx, llama_batch_get_one(const_cast<llama_token*>(tokens.data()), n_tokens_before_last))) {
+            LOG_ERR("%s : failed to eval\n", __func__);
+            return false;
+        }
+        n_past += n_tokens_before_last;
+
+        llama_state_save_file(ctx, state_path.data(), tokens.data(), n_tokens_before_last);
+        LOG_INF("saved session before last token to %s, n_tokens = %d\n", state_path.data(), n_tokens_before_last);
+
+        llama_token last_token = tokens.back();
+        llama_batch batch = llama_batch_get_one(&last_token, 1);
+        int32_t pos = n_past;
+        batch.pos = &pos;
+
+        if (llama_decode(ctx, batch)) {
+            LOG_ERR("%s : failed to eval last token\n", __func__);
+            return false;
+        }
+        n_past++;
+    } else {
+        if (llama_decode(ctx, llama_batch_get_one(const_cast<llama_token*>(tokens.data()), n_eval))) {
+            LOG_ERR("%s : failed to eval\n", __func__);
+            return false;
+        }
+        n_past += n_eval;
+    }
+
+    return true;
+}
diff --git a/common/common.h b/common/common.h
index 804485fb198..ee7a2d805e0 100644
--- a/common/common.h
+++ b/common/common.h
@@ -104,6 +104,8 @@ enum llama_example {
     LLAMA_EXAMPLE_DIFFUSION,
     LLAMA_EXAMPLE_FINETUNE,
     LLAMA_EXAMPLE_FIT_PARAMS,
+    LLAMA_EXAMPLE_RESULTS,
+    LLAMA_EXAMPLE_EXPORT_GRAPH_OPS,
 
     LLAMA_EXAMPLE_COUNT,
 };
@@ -234,6 +236,14 @@ struct common_params_sampling {
     std::vector<llama_logit_bias> logit_bias;     // logit biases to apply
     std::vector<llama_logit_bias> logit_bias_eog; // pre-calculated logit biases for EOG tokens
 
+    // reasoning budget sampler parameters
+    // these are populated by the server/CLI based on chat template params
+    int32_t                  reasoning_budget_tokens   = -1;   // -1 = disabled, >= 0 = token budget
+    bool                     reasoning_budget_activate_immediately = false;
+    std::vector<llama_token> reasoning_budget_start;           // start tag token sequence
+    std::vector<llama_token> reasoning_budget_end;             // end tag token sequence
+    std::vector<llama_token> reasoning_budget_forced;          // forced sequence (message + end tag)
+
     bool backend_sampling = false;
 
     bool has_logit_bias() const {
@@ -410,7 +420,8 @@ struct common_params {
 
     struct common_params_model model;
 
-    std::string model_alias          = ""; // model alias                                                   // NOLINT
+    std::set<std::string> model_alias;     // model aliases                                                 // NOLINT
+    std::set<std::string> model_tags;      // model tags (informational, not used for routing)              // NOLINT
     std::string hf_token             = ""; // HF token                                                      // NOLINT
     std::string prompt               = "";                                                                  // NOLINT
     std::string system_prompt        = "";                                                                  // NOLINT
@@ -455,6 +466,8 @@ struct common_params {
 
     bool   kl_divergence    = false; // compute KL divergence
 
+    bool check             = false; // check rather than generate results for llama-results
+
     bool usage             = false; // print usage
     bool completion        = false; // print source-able completion script
     bool use_color         = false; // use color to distinguish generations and inputs
@@ -515,14 +528,15 @@ struct common_params {
     std::string cls_sep    = "\t";  // separator of classification sequences
 
     // server params
-    int32_t port              = 8080;         // server listens on this network port
-    int32_t timeout_read      = 600;          // http read timeout in seconds
-    int32_t timeout_write     = timeout_read; // http write timeout in seconds
-    int32_t n_threads_http    = -1;           // number of threads to process HTTP requests (TODO: support threadpool)
-    int32_t n_cache_reuse     = 0;            // min chunk size to reuse from the cache via KV shifting
-    bool    cache_prompt      = true;         // whether to enable prompt caching
-    int32_t n_ctx_checkpoints = 8;            // max number of context checkpoints per slot
-    int32_t cache_ram_mib     = 8192;         // -1 = no limit, 0 - disable, 1 = 1 MiB, etc.
+    int32_t port                = 8080;          // server listens on this network port
+    int32_t timeout_read        = 600;           // http read timeout in seconds
+    int32_t timeout_write       = timeout_read;  // http write timeout in seconds
+    int32_t n_threads_http      = -1;    // number of threads to process HTTP requests (TODO: support threadpool)
+    int32_t n_cache_reuse       = 0;     // min chunk size to reuse from the cache via KV shifting
+    bool    cache_prompt        = true;  // whether to enable prompt caching
+    int32_t n_ctx_checkpoints   = 32;     // max number of context checkpoints per slot
+    int32_t checkpoint_every_nt = 8192;   // make a checkpoint every n tokens during prefill
+    int32_t cache_ram_mib       = 8192;  // -1 = no limit, 0 - disable, 1 = 1 MiB, etc.
 
     std::string hostname      = "127.0.0.1";
     std::string public_path   = "";                                                                         // NOLINT
@@ -531,7 +545,9 @@ struct common_params {
     bool use_jinja = true;                                                                                  // NOLINT
     bool enable_chat_template = true;
     common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
+    int enable_reasoning = -1; // -1 = auto, 0 = disable, 1 = enable
     int reasoning_budget = -1;
+    std::string reasoning_budget_message; // message injected before end tag when budget exhausted
     bool prefill_assistant = true; // if true, any trailing assistant message will be prefilled into the response
     int sleep_idle_seconds = -1;   // if >0, server will sleep after this many seconds of idle time
 
@@ -544,6 +560,7 @@ struct common_params {
 
     // webui configs
     bool webui = true;
+    bool webui_mcp_proxy = false;
     std::string webui_config_json;
 
     // "advanced" endpoints are disabled by default for better security
@@ -670,30 +687,55 @@ static std::vector<T> string_split(const std::string & str, char delim) {
 }
 
 template<>
-std::vector<std::string> string_split<std::string>(const std::string & input, char separator)
+inline std::vector<std::string> string_split<std::string>(const std::string & str, char delim)
 {
     std::vector<std::string> parts;
     size_t begin_pos = 0;
-    size_t separator_pos = input.find(separator);
-    while (separator_pos != std::string::npos) {
-        std::string part = input.substr(begin_pos, separator_pos - begin_pos);
+    size_t delim_pos = str.find(delim);
+    while (delim_pos != std::string::npos) {
+        std::string part = str.substr(begin_pos, delim_pos - begin_pos);
         parts.emplace_back(part);
-        begin_pos = separator_pos + 1;
-        separator_pos = input.find(separator, begin_pos);
+        begin_pos = delim_pos + 1;
+        delim_pos = str.find(delim, begin_pos);
     }
-    parts.emplace_back(input.substr(begin_pos, separator_pos - begin_pos));
+    parts.emplace_back(str.substr(begin_pos));
     return parts;
 }
 
-static bool string_starts_with(const std::string & str,
-                               const std::string & prefix) {  // While we wait for C++20's std::string::starts_with...
-    return str.rfind(prefix, 0) == 0;
+// remove when moving to c++20
+inline bool string_starts_with(std::string_view str, std::string_view prefix) {
+    return str.size() >= prefix.size() &&
+           str.compare(0, prefix.size(), prefix) == 0;
+}
+
+// remove when moving to c++20
+inline bool string_ends_with(std::string_view str, std::string_view suffix) {
+    return str.size() >= suffix.size() &&
+           str.compare(str.size() - suffix.size(), suffix.size(), suffix) == 0;
 }
 
-// While we wait for C++20's std::string::ends_with...
-bool string_ends_with(const std::string_view & str, const std::string_view & suffix);
-bool string_remove_suffix(std::string & str, const std::string_view & suffix);
-size_t string_find_partial_stop(const std::string_view & str, const std::string_view & stop);
+inline bool string_remove_suffix(std::string & str, std::string_view suffix) {
+    if (string_ends_with(str, suffix)) {
+        str.resize(str.size() - suffix.size());
+        return true;
+    }
+    return false;
+}
+
+inline size_t string_find_partial_stop(std::string_view str, std::string_view stop) {
+    if (!str.empty() && !stop.empty()) {
+        const size_t max_len = std::min(str.size(), stop.size());
+        const char last_char = str.back();
+        for (size_t len = max_len; len > 0; --len) {
+            if (stop[len - 1] == last_char) {
+                if (string_ends_with(str, stop.substr(0, len))) {
+                    return str.size() - len;
+                }
+            }
+        }
+    }
+    return std::string::npos;
+}
 
 bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides);
 void string_process_escapes(std::string & input);
@@ -779,6 +821,23 @@ void common_batch_add(
     const std::vector<llama_seq_id> & seq_ids,
                                bool   logits);
 
+// decodes a single batch of tokens for a prompt and manages session tokens
+//
+// Note: We save state before the last token so that we can replay it to ensure
+// compatibility with all memory types. Recurrent/hybrid models cannot remove
+// tokens from memory, so this approach works across all model architectures.
+bool common_prompt_batch_decode(
+              struct llama_context * ctx,
+    const std::vector<llama_token> & embd,
+                               int & n_past,
+                               int   n_batch,
+                  std::string_view   state_path,
+                              bool   save_state);
+
+// replays the last token after loading state to regenerate logits
+// used after loading session state to ensure the sampling context has valid logits
+bool common_replay_last_token(struct llama_context * ctx, llama_token last_token, int32_t pos);
+
 //
 // Vocab utils
 //
@@ -826,7 +885,7 @@ std::string common_detokenize(
 // Embedding utils
 //
 
-// TODO: repace embd_norm with an enum
+// TODO: replace embd_norm with an enum
 void common_embd_normalize(const float * inp, float * out, int n, int embd_norm);
 
 float common_embd_similarity_cos(const float * embd1, const float * embd2, int n);
@@ -868,13 +927,13 @@ const char * const LLM_KV_SPLIT_TENSORS_COUNT = "split.tensors.count";
 // MoE utils
 //
 
-const char * const LLM_FFN_EXPS_REGEX = "\\.ffn_(up|down|gate)_(ch|)exps";
+const char * const LLM_FFN_EXPS_REGEX = "\\.ffn_(up|down|gate|gate_up)_(ch|)exps";
 
-static std::string llm_ffn_exps_block_regex(int idx) {
+inline std::string llm_ffn_exps_block_regex(int idx) {
     return string_format("blk\\.%d%s", idx, LLM_FFN_EXPS_REGEX);
 }
 
-static llama_model_tensor_buft_override llm_ffn_exps_cpu_override() {
+inline llama_model_tensor_buft_override llm_ffn_exps_cpu_override() {
     return { LLM_FFN_EXPS_REGEX, ggml_backend_cpu_buffer_type() };
 }
 
diff --git a/common/console.cpp b/common/console.cpp
index 2ea178f81ed..a770416ab7a 100644
--- a/common/console.cpp
+++ b/common/console.cpp
@@ -80,6 +80,8 @@ namespace console {
     static termios      initial_state;
 #endif
 
+    static completion_callback completion_cb = nullptr;
+
     //
     // Init and cleanup
     //
@@ -493,7 +495,7 @@ namespace console {
     }
 
     static void set_line_contents(std::string new_line, std::string & line, std::vector<int> & widths, size_t & char_pos,
-                                  size_t & byte_pos) {
+                                  size_t & byte_pos, int cursor_byte_pos = -1) {
         move_to_line_start(char_pos, byte_pos, widths);
         clear_current_line(widths);
 
@@ -503,6 +505,7 @@ namespace console {
         char_pos = 0;
 
         size_t idx = 0;
+        int back_width = 0;
         while (idx < line.size()) {
             size_t advance = 0;
             char32_t cp = decode_utf8(line, idx, advance);
@@ -511,8 +514,15 @@ namespace console {
             if (real_width < 0) real_width = 0;
             widths.push_back(real_width);
             idx += advance;
-            ++char_pos;
-            byte_pos = idx;
+            if (cursor_byte_pos >= 0 && static_cast<size_t>(cursor_byte_pos) < idx) {
+                back_width += real_width;
+            } else {
+                ++char_pos;
+                byte_pos = idx;
+            }
+        }
+        if (cursor_byte_pos >= 0) {
+            move_cursor(-back_width);
         }
     }
 
@@ -784,6 +794,20 @@ namespace console {
                 break;
             }
 
+            if (completion_cb && input_char == '\t') {
+                auto candidates = completion_cb(line, byte_pos);
+
+                if (!candidates.empty()) {
+                    if (candidates.size() > 1 || candidates[0].first != line) {
+                        // TODO?: Display all candidates
+                        set_line_contents(candidates[0].first, line, widths, char_pos, byte_pos, candidates[0].second);
+                    } else {
+                        // TODO: Move cursor to new byte_pos
+                    }
+                    continue;
+                }
+            }
+
             if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D */) {
                 end_of_stream = true;
                 break;
@@ -1062,6 +1086,10 @@ namespace console {
         return readline_advanced(line, multiline_input);
     }
 
+    void set_completion_callback(completion_callback cb) {
+        completion_cb = cb;
+    }
+
     namespace spinner {
         static const char LOADING_CHARS[] = {'|', '/', '-', '\\'};
         static std::condition_variable cv_stop;
diff --git a/common/console.h b/common/console.h
index fad6d395316..72781bea6f6 100644
--- a/common/console.h
+++ b/common/console.h
@@ -4,7 +4,9 @@
 
 #include "common.h"
 
+#include <functional>
 #include <string>
+#include <vector>
 
 enum display_type {
     DISPLAY_TYPE_RESET = 0,
@@ -21,6 +23,9 @@ namespace console {
     void set_display(display_type display);
     bool readline(std::string & line, bool multiline_input);
 
+    using completion_callback = std::function<std::vector<std::pair<std::string, size_t>>(std::string_view, size_t)>;
+    void set_completion_callback(completion_callback cb);
+
     namespace spinner {
         void start();
         void stop();
diff --git a/common/debug.h b/common/debug.h
index 0c559632586..e563b40d68f 100644
--- a/common/debug.h
+++ b/common/debug.h
@@ -18,7 +18,7 @@ template <bool abort_on_nan> void common_debug_print_tensor(uint8_t * data, ggml
 // prints tensors that are processed in the computation graph
 // by default prints all tensors, but can be configured by creating a `base_callback_data` instance with
 // non-empty filter_patterns. See examples/debug.ccp for possible usage patterns
-// The template parameter determins whether an error should be thrown whenever a NaN is encountered
+// The template parameter determines whether an error should be thrown whenever a NaN is encountered
 // in a tensor (useful for stopping debug sessions on first erroneous tensor)
 // The callback data will be passed as the third parameter (user_data)
 template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data);
diff --git a/common/download.cpp b/common/download.cpp
index 8710438aa4c..5ef60a42086 100644
--- a/common/download.cpp
+++ b/common/download.cpp
@@ -19,9 +19,7 @@
 #include <thread>
 #include <vector>
 
-#if defined(LLAMA_USE_HTTPLIB)
 #include "http.h"
-#endif
 
 #ifndef __EMSCRIPTEN__
 #ifdef __linux__
@@ -114,44 +112,18 @@ static void write_etag(const std::string & path, const std::string & etag) {
 }
 
 static std::string read_etag(const std::string & path) {
-    std::string none;
     const std::string etag_path = path + ".etag";
-
-    if (std::filesystem::exists(etag_path)) {
-        std::ifstream etag_in(etag_path);
-        if (!etag_in) {
-            LOG_ERR("%s: could not open .etag file for reading: %s\n", __func__, etag_path.c_str());
-            return none;
-        }
-        std::string etag;
-        std::getline(etag_in, etag);
-        return etag;
+    if (!std::filesystem::exists(etag_path)) {
+        return {};
     }
-
-    // no etag file, but maybe there is an old .json
-    // remove this code later
-    const std::string metadata_path = path + ".json";
-
-    if (std::filesystem::exists(metadata_path)) {
-        std::ifstream metadata_in(metadata_path);
-        try {
-            nlohmann::json metadata_json;
-            metadata_in >> metadata_json;
-            LOG_DBG("%s: previous metadata file found %s: %s\n", __func__, metadata_path.c_str(),
-                    metadata_json.dump().c_str());
-            if (metadata_json.contains("etag") && metadata_json.at("etag").is_string()) {
-                std::string etag = metadata_json.at("etag");
-                write_etag(path, etag);
-                if (!std::filesystem::remove(metadata_path)) {
-                    LOG_WRN("%s: failed to delete old .json metadata file: %s\n", __func__, metadata_path.c_str());
-                }
-                return etag;
-            }
-        } catch (const nlohmann::json::exception & e) {
-            LOG_ERR("%s: error reading metadata file %s: %s\n", __func__, metadata_path.c_str(), e.what());
-        }
+    std::ifstream etag_in(etag_path);
+    if (!etag_in) {
+        LOG_ERR("%s: could not open .etag file for reading: %s\n", __func__, etag_path.c_str());
+        return {};
     }
-    return none;
+    std::string etag;
+    std::getline(etag_in, etag);
+    return etag;
 }
 
 static bool is_http_status_ok(int status) {
@@ -168,8 +140,6 @@ std::pair<std::string, std::string> common_download_split_repo_tag(const std::st
     return {hf_repo, tag};
 }
 
-#if defined(LLAMA_USE_HTTPLIB)
-
 class ProgressBar {
     static inline std::mutex mutex;
     static inline std::map<const ProgressBar *, int> lines;
@@ -347,62 +317,64 @@ static int common_download_file_single_online(const std::string        & url,
         LOG_INF("%s: no previous model file found %s\n", __func__, path.c_str());
     }
 
-    for (int i = 0; i < max_attempts; ++i) {
-        auto head = cli.Head(parts.path);
-        bool head_ok = head && head->status >= 200 && head->status < 300;
-        if (!head_ok) {
-            LOG_WRN("%s: HEAD invalid http status code received: %d\n", __func__, head ? head->status : -1);
-            if (file_exists) {
-                LOG_INF("%s: Using cached file (HEAD failed): %s\n", __func__, path.c_str());
-                return 304; // 304 Not Modified - fake cached response
-            }
-            return head->status; // cannot use cached file, return raw status code
-            // TODO: maybe retry only on certain codes
+    auto head = cli.Head(parts.path);
+    if (!head || head->status < 200 || head->status >= 300) {
+        LOG_WRN("%s: HEAD failed, status: %d\n", __func__, head ? head->status : -1);
+        if (file_exists) {
+            LOG_INF("%s: using cached file (HEAD failed): %s\n", __func__, path.c_str());
+            return 304; // 304 Not Modified - fake cached response
         }
+        return head ? head->status : -1;
+    }
 
-        std::string etag;
-        if (head_ok && head->has_header("ETag")) {
-            etag = head->get_header_value("ETag");
-        }
+    std::string etag;
+    if (head->has_header("ETag")) {
+        etag = head->get_header_value("ETag");
+    }
 
-        size_t total_size = 0;
-        if (head_ok && head->has_header("Content-Length")) {
-            try {
-                total_size = std::stoull(head->get_header_value("Content-Length"));
-            } catch (const std::exception& e) {
-                LOG_WRN("%s: Invalid Content-Length in HEAD response: %s\n", __func__, e.what());
-            }
+    size_t total_size = 0;
+    if (head->has_header("Content-Length")) {
+        try {
+            total_size = std::stoull(head->get_header_value("Content-Length"));
+        } catch (const std::exception& e) {
+            LOG_WRN("%s: invalid Content-Length in HEAD response: %s\n", __func__, e.what());
         }
+    }
 
-        bool supports_ranges = false;
-        if (head_ok && head->has_header("Accept-Ranges")) {
-            supports_ranges = head->get_header_value("Accept-Ranges") != "none";
-        }
+    bool supports_ranges = false;
+    if (head->has_header("Accept-Ranges")) {
+        supports_ranges = head->get_header_value("Accept-Ranges") != "none";
+    }
 
-        bool should_download_from_scratch = false;
-        if (!last_etag.empty() && !etag.empty() && last_etag != etag) {
-            LOG_WRN("%s: ETag header is different (%s != %s): triggering a new download\n", __func__,
-                    last_etag.c_str(), etag.c_str());
-            should_download_from_scratch = true;
+    if (file_exists) {
+        if (etag.empty()) {
+            LOG_INF("%s: using cached file (no server etag): %s\n", __func__, path.c_str());
+            return 304; // 304 Not Modified - fake cached response
+        }
+        if (!last_etag.empty() && last_etag == etag) {
+            LOG_INF("%s: using cached file (same etag): %s\n", __func__, path.c_str());
+            return 304; // 304 Not Modified - fake cached response
         }
+        if (remove(path.c_str()) != 0) {
+            LOG_ERR("%s: unable to delete file: %s\n", __func__, path.c_str());
+            return -1;
+        }
+    }
 
-        if (file_exists) {
-            if (!should_download_from_scratch) {
-                LOG_INF("%s: using cached file: %s\n", __func__, path.c_str());
-                return 304; // 304 Not Modified - fake cached response
-            }
-            LOG_WRN("%s: deleting previous downloaded file: %s\n", __func__, path.c_str());
-            if (remove(path.c_str()) != 0) {
-                LOG_ERR("%s: unable to delete file: %s\n", __func__, path.c_str());
-                return -1;
-            }
+    const std::string path_temporary = path + ".downloadInProgress";
+    int delay = retry_delay_seconds;
+
+    for (int i = 0; i < max_attempts; ++i) {
+        if (i) {
+            LOG_WRN("%s: retrying after %d seconds...\n", __func__, delay);
+            std::this_thread::sleep_for(std::chrono::seconds(delay));
+            delay *= retry_delay_seconds;
         }
 
-        const std::string path_temporary = path + ".downloadInProgress";
         size_t existing_size = 0;
 
         if (std::filesystem::exists(path_temporary)) {
-            if (supports_ranges && !should_download_from_scratch) {
+            if (supports_ranges) {
                 existing_size = std::filesystem::file_size(path_temporary);
             } else if (remove(path_temporary.c_str()) != 0) {
                 LOG_ERR("%s: unable to delete file: %s\n", __func__, path_temporary.c_str());
@@ -410,32 +382,23 @@ static int common_download_file_single_online(const std::string        & url,
             }
         }
 
-        // start the download
-        LOG_INF("%s: trying to download model from %s to %s (etag:%s)...\n",
-                __func__, common_http_show_masked_url(parts).c_str(), path_temporary.c_str(), etag.c_str());
-        const bool was_pull_successful = common_pull_file(cli, parts.path, path_temporary, supports_ranges, existing_size, total_size);
-        if (!was_pull_successful) {
-            if (i + 1 < max_attempts) {
-                const int exponential_backoff_delay = std::pow(retry_delay_seconds, i) * 1000;
-                LOG_WRN("%s: retrying after %d milliseconds...\n", __func__, exponential_backoff_delay);
-                std::this_thread::sleep_for(std::chrono::milliseconds(exponential_backoff_delay));
-            } else {
-                LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
-            }
-            continue;
-        }
+        LOG_INF("%s: downloading from %s to %s (etag:%s)...\n",
+                __func__, common_http_show_masked_url(parts).c_str(),
+                path_temporary.c_str(), etag.c_str());
 
-        if (std::rename(path_temporary.c_str(), path.c_str()) != 0) {
-            LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, path_temporary.c_str(), path.c_str());
-            return -1;
-        }
-        if (!etag.empty()) {
-            write_etag(path, etag);
+        if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, existing_size, total_size)) {
+            if (std::rename(path_temporary.c_str(), path.c_str()) != 0) {
+                LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, path_temporary.c_str(), path.c_str());
+                return -1;
+            }
+            if (!etag.empty()) {
+                write_etag(path, etag);
+            }
+            return head->status;
         }
-
-        return head->status; // TODO: use actual GET status?
     }
 
+    LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
     return -1; // max attempts reached
 }
 
@@ -801,30 +764,6 @@ std::string common_docker_resolve_model(const std::string & docker) {
     }
 }
 
-#else
-
-common_hf_file_res common_get_hf_file(const std::string &, const std::string &, bool, const common_header_list &) {
-    throw std::runtime_error("download functionality is not enabled in this build");
-}
-
-bool common_download_model(const common_params_model &, const std::string &, bool, const common_header_list &) {
-    throw std::runtime_error("download functionality is not enabled in this build");
-}
-
-std::string common_docker_resolve_model(const std::string &) {
-    throw std::runtime_error("download functionality is not enabled in this build");
-}
-
-int common_download_file_single(const std::string &,
-                                const std::string &,
-                                const std::string &,
-                                bool,
-                                const common_header_list &) {
-    throw std::runtime_error("download functionality is not enabled in this build");
-}
-
-#endif // defined(LLAMA_USE_HTTPLIB)
-
 std::vector<common_cached_model_info> common_list_cached_models() {
     std::vector<common_cached_model_info> models;
     const std::string cache_dir = fs_get_cache_directory();
diff --git a/common/http.h b/common/http.h
index e8ed56f952b..d3daccd6bf4 100644
--- a/common/http.h
+++ b/common/http.h
@@ -7,6 +7,7 @@ struct common_http_url {
     std::string user;
     std::string password;
     std::string host;
+    int port;
     std::string path;
 };
 
@@ -47,6 +48,20 @@ static common_http_url common_http_parse_url(const std::string & url) {
         parts.host = rest;
         parts.path = "/";
     }
+
+    auto colon_pos = parts.host.find(':');
+
+    if (colon_pos != std::string::npos) {
+        parts.port = std::stoi(parts.host.substr(colon_pos + 1));
+        parts.host = parts.host.substr(0, colon_pos);
+    } else if (parts.scheme == "http") {
+        parts.port = 80;
+    } else if (parts.scheme == "https") {
+        parts.port = 443;
+    } else {
+        throw std::runtime_error("unsupported URL scheme: " + parts.scheme);
+    }
+
     return parts;
 }
 
@@ -68,7 +83,7 @@ static std::pair<httplib::Client, common_http_url> common_http_client(const std:
     }
 #endif
 
-    httplib::Client cli(parts.scheme + "://" + parts.host);
+    httplib::Client cli(parts.scheme + "://" + parts.host + ":" + std::to_string(parts.port));
 
     if (!parts.user.empty()) {
         cli.set_basic_auth(parts.user, parts.password);
diff --git a/common/jinja/README.md b/common/jinja/README.md
index 7059105ee39..8291240767e 100644
--- a/common/jinja/README.md
+++ b/common/jinja/README.md
@@ -63,7 +63,7 @@ The llama.cpp Jinja engine introduces `jinja::string` (see `jinja/string.h`), wh
   - **One-to-many** (e.g., split): result is marked `is_input` **only if ALL** input parts are marked `is_input`
   - **Many-to-one** (e.g., join): same as one-to-many
 
-For string concatenation, string parts will be appended to the new string as-is, while perserving the `is_input` flag.
+For string concatenation, string parts will be appended to the new string as-is, while preserving the `is_input` flag.
 
 **Enabling Input Marking:**
 
diff --git a/common/jinja/caps.cpp b/common/jinja/caps.cpp
index dbaaed500a8..1158d5e5d6d 100644
--- a/common/jinja/caps.cpp
+++ b/common/jinja/caps.cpp
@@ -1,3 +1,4 @@
+#include "log.h"
 #include "value.h"
 #include "runtime.h"
 #include "caps.h"
@@ -36,12 +37,16 @@ static void caps_try_execute(jinja::program & prog,
     auto tools = ctx.get_val("tools");
 
     bool success = false;
+    std::string result;
     try {
         jinja::runtime runtime(ctx);
-        runtime.execute(prog);
+        auto results = runtime.execute(prog);
+        auto parts = jinja::runtime::gather_string_parts(results);
+        result = parts->as_string().str();
         success = true;
     } catch (const std::exception & e) {
         JJ_DEBUG("Exception during execution: %s", e.what());
+        result = "";
         // ignore exceptions during capability analysis
     }
 
@@ -90,6 +95,8 @@ caps caps_get(jinja::program & prog) {
         return v->stats.ops.find(op_name) != v->stats.ops.end();
     };
 
+    JJ_DEBUG("%s\n", ">>> Running capability check: typed content");
+
     // case: typed content support
     caps_try_execute(
         prog,
@@ -120,6 +127,7 @@ caps caps_get(jinja::program & prog) {
         }
     );
 
+    JJ_DEBUG("%s\n", ">>> Running capability check: system prompt");
 
     // case: system prompt support
     caps_try_execute(
@@ -150,7 +158,9 @@ caps caps_get(jinja::program & prog) {
         }
     );
 
-    // case: tools support
+    JJ_DEBUG("%s\n", ">>> Running capability check: single tool support");
+
+    // case: tools support: single call
     caps_try_execute(
         prog,
         [&]() {
@@ -162,10 +172,10 @@ caps caps_get(jinja::program & prog) {
                 },
                 {
                     {"role", "assistant"},
-                    {"content", "Assistant message"},
+                    {"content", ""}, // Some templates expect content to be empty with tool calls
                     {"tool_calls", json::array({
                         {
-                            {"id", "call1"},
+                            {"id", "call00001"},
                             {"type", "function"},
                             {"function", {
                                 {"name", "tool1"},
@@ -173,19 +183,18 @@ caps caps_get(jinja::program & prog) {
                                     {"arg", "value"}
                                 }}
                             }}
-                        },
-                        {
-                            {"id", "call2"},
-                            {"type", "function"},
-                            {"function", {
-                                {"name", "tool2"},
-                                {"arguments", {
-                                    {"arg", "value"}
-                                }}
-                            }}
                         }
                     })}
                 },
+                {
+                    {"role", "tool"},
+                    {"content", "Tool response"},
+                    {"tool_call_id", "call00001"}
+                },
+                {
+                    {"role", "assistant"},
+                    {"content", "The tool response was 'tool response'"}
+                },
                 {
                     {"role", "user"},
                     {"content", "User message"},
@@ -199,7 +208,7 @@ caps caps_get(jinja::program & prog) {
                     {"name", "tool"},
                     {"type", "function"},
                     {"function", {
-                        {"name", "tool"},
+                        {"name", "tool1"},
                         {"description", "Tool description"},
                         {"parameters", {
                             {"type", "object"},
@@ -224,6 +233,7 @@ caps caps_get(jinja::program & prog) {
 
             auto & tool_name = tools->at(0)->at("function")->at("name");
             caps_print_stats(tool_name, "tools[0].function.name");
+            caps_print_stats(tools, "tools");
             if (!tool_name->stats.used) {
                 result.supports_tools = false;
             }
@@ -233,6 +243,93 @@ caps caps_get(jinja::program & prog) {
             if (!tool_calls->stats.used) {
                 result.supports_tool_calls = false;
             }
+        }
+    );
+
+    JJ_DEBUG("%s\n", ">>> Running capability check: parallel tool support");
+
+    // case: tools support: parallel calls
+    caps_try_execute(
+        prog,
+        [&]() {
+            // messages
+            return json::array({
+                {
+                    {"role", "user"},
+                    {"content", "User message"},
+                },
+                {
+                    {"role", "assistant"},
+                    {"content", ""}, // Some templates expect content to be empty with tool calls
+                    {"tool_calls", json::array({
+                        {
+                            {"id", "call00001"},
+                            {"type", "function"},
+                            {"function", {
+                                {"name", "tool1"},
+                                {"arguments", {
+                                    {"arg", "value"}
+                                }}
+                            }}
+                        },
+                        {
+                            {"id", "call00002"},
+                            {"type", "function"},
+                            {"function", {
+                                {"name", "tool1"},
+                                {"arguments", {
+                                    {"arg", "value"}
+                                }}
+                            }}
+                        }
+                    })}
+                },
+                {
+                    {"role", "tool"},
+                    {"content", "Tool response"},
+                    {"tool_call_id", "call00001"}
+                },
+                {
+                    {"role", "assistant"},
+                    {"content", "The tool response was 'tool response'"}
+                },
+                {
+                    {"role", "user"},
+                    {"content", "User message"},
+                },
+            });
+        },
+        [&]() {
+            // tools
+            return json::array({
+                {
+                    {"name", "tool"},
+                    {"type", "function"},
+                    {"function", {
+                        {"name", "tool1"},
+                        {"description", "Tool description"},
+                        {"parameters", {
+                            {"type", "object"},
+                            {"properties", {
+                                {"arg", {
+                                    {"type", "string"},
+                                    {"description", "Arg description"},
+                                }},
+                            }},
+                            {"required", json::array({ "arg" })},
+                        }},
+                    }},
+                },
+            });
+        },
+        [&](bool success, value & messages, value & /*tools*/) {
+            if (!success) {
+                result.supports_parallel_tool_calls = false;
+                return;
+            }
+
+            auto & tool_calls = messages->at(1)->at("tool_calls");;
+            caps_print_stats(tool_calls, "messages[1].tool_calls");
 
             // check for second tool call usage
             auto & tool_call_1 = tool_calls->at(1)->at("function");
@@ -243,6 +340,8 @@ caps caps_get(jinja::program & prog) {
         }
     );
 
+    JJ_DEBUG("%s\n", ">>> Running capability check: preserve reasoning");
+
     // case: preserve reasoning content in chat history
     caps_try_execute(
         prog,
diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp
index cc012c892fb..af2282c5469 100644
--- a/common/jinja/runtime.cpp
+++ b/common/jinja/runtime.cpp
@@ -85,7 +85,7 @@ value identifier::execute_impl(context & ctx) {
     auto builtins = global_builtins();
     if (!it->is_undefined()) {
         if (ctx.is_get_stats) {
-            it->stats.used = true;
+            value_t::stats_t::mark_used(it);
         }
         JJ_DEBUG("Identifier '%s' found, type = %s", val.c_str(), it->type().c_str());
         return it;
@@ -114,8 +114,10 @@ value binary_expression::execute_impl(context & ctx) {
 
     // Logical operators
     if (op.value == "and") {
+        JJ_DEBUG("Executing logical test: %s AND %s", left->type().c_str(), right->type().c_str());
         return left_val->as_bool() ? right->execute(ctx) : std::move(left_val);
     } else if (op.value == "or") {
+        JJ_DEBUG("Executing logical test: %s OR %s", left->type().c_str(), right->type().c_str());
         return left_val->as_bool() ? std::move(left_val) : right->execute(ctx);
     }
 
@@ -277,7 +279,7 @@ value binary_expression::execute_impl(context & ctx) {
 static value try_builtin_func(context & ctx, const std::string & name, value & input, bool undef_on_missing = false) {
     JJ_DEBUG("Trying built-in function '%s' for type %s", name.c_str(), input->type().c_str());
     if (ctx.is_get_stats) {
-        input->stats.used = true;
+        value_t::stats_t::mark_used(input);
         input->stats.ops.insert(name);
     }
     auto builtins = input->get_builtins();
@@ -448,7 +450,7 @@ value for_statement::execute_impl(context & ctx) {
 
     // mark the variable being iterated as used for stats
     if (ctx.is_get_stats) {
-        iterable_val->stats.used = true;
+        value_t::stats_t::mark_used(iterable_val);
         iterable_val->stats.ops.insert("array_access");
     }
 
@@ -470,7 +472,7 @@ value for_statement::execute_impl(context & ctx) {
             items.push_back(std::move(tuple));
         }
         if (ctx.is_get_stats) {
-            iterable_val->stats.used = true;
+            value_t::stats_t::mark_used(iterable_val);
             iterable_val->stats.ops.insert("object_access");
         }
     } else {
@@ -480,7 +482,7 @@ value for_statement::execute_impl(context & ctx) {
             items.push_back(item);
         }
         if (ctx.is_get_stats) {
-            iterable_val->stats.used = true;
+            value_t::stats_t::mark_used(iterable_val);
             iterable_val->stats.ops.insert("array_access");
         }
     }
@@ -721,6 +723,8 @@ value member_expression::execute_impl(context & ctx) {
         int64_t arr_size = 0;
         if (is_val<value_array>(object)) {
             arr_size = object->as_array().size();
+        } else if (is_val<value_string>(object)) {
+            arr_size = object->as_string().length();
         }
 
         if (is_stmt<slice_expression>(this->property)) {
@@ -817,8 +821,9 @@ value member_expression::execute_impl(context & ctx) {
     }
 
     if (ctx.is_get_stats && val && object && property) {
-        val->stats.used = true;
-        object->stats.used = true;
+        value_t::stats_t::mark_used(val);
+        value_t::stats_t::mark_used(object);
+        value_t::stats_t::mark_used(property);
         if (is_val<value_int>(property)) {
             object->stats.ops.insert("array_access");
         } else if (is_val<value_string>(property)) {
@@ -835,7 +840,7 @@ value call_expression::execute_impl(context & ctx) {
     for (auto & arg_stmt : this->args) {
         auto arg_val = arg_stmt->execute(ctx);
         JJ_DEBUG("  Argument type: %s", arg_val->type().c_str());
-        args.push_back(std::move(arg_val));
+        args.push_back(arg_val);
     }
     // execute callee
     value callee_val = callee->execute(ctx);
diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp
index 2aa156b1778..749113124b5 100644
--- a/common/jinja/value.cpp
+++ b/common/jinja/value.cpp
@@ -4,6 +4,7 @@
 // for converting from JSON to jinja values
 #include <nlohmann/json.hpp>
 
+#include <sstream>
 #include <string>
 #include <cctype>
 #include <vector>
@@ -160,6 +161,11 @@ static value tojson(const func_args & args) {
     value val_separators = args.get_kwarg_or_pos("separators",   3);
     value val_sort       = args.get_kwarg_or_pos("sort_keys",    4);
     int indent = -1;
+    if (args.ctx.is_get_stats) {
+        // mark as used (recursively) for stats
+        auto val_input = args.get_pos(0);
+        value_t::stats_t::mark_used(const_cast<value&>(val_input), true);
+    }
     if (is_val<value_int>(val_indent)) {
         indent = static_cast<int>(val_indent->as_int());
     }
@@ -715,8 +721,46 @@ const func_builtins & value_string_t::get_builtins() const {
             return args.get_pos(0);
         }},
         {"tojson", tojson},
-        {"indent", [](const func_args &) -> value {
-            throw not_implemented_exception("String indent builtin not implemented");
+        {"indent", [](const func_args &args) -> value {
+            args.ensure_count(1, 4);
+            value val_input  = args.get_pos(0);
+            value val_width  = args.get_kwarg_or_pos("width", 1);
+            const bool first = args.get_kwarg_or_pos("first", 2)->as_bool(); // undefined == false
+            const bool blank = args.get_kwarg_or_pos("blank", 3)->as_bool(); // undefined == false
+            if (!is_val<value_string>(val_input)) {
+                throw raised_exception("indent() first argument must be a string");
+            }
+            std::string indent;
+            if (is_val<value_int>(val_width)) {
+                indent.assign(val_width->as_int(), ' ');
+            } else if (is_val<value_string>(val_width)) {
+                indent = val_width->as_string().str();
+            } else {
+                indent = "    ";
+            }
+            std::string indented;
+            std::string input = val_input->as_string().str();
+            std::istringstream iss = std::istringstream(input);
+            std::string line;
+            while (std::getline(iss, line)) {
+                if (!indented.empty()) {
+                    indented.push_back('\n');
+                }
+                if ((indented.empty() ? first : (!line.empty() || blank))) {
+                    indented += indent;
+                }
+                indented += line;
+            }
+            if (!input.empty() && input.back() == '\n') {
+                indented.push_back('\n');
+                if (blank) {
+                    indented += indent;
+                }
+            }
+
+            auto res = mk_val<value_string>(indented);
+            res->val_str.mark_input_based_on(val_input->as_string());
+            return res;
         }},
         {"join", [](const func_args &) -> value {
             throw not_implemented_exception("String join builtin not implemented");
@@ -852,6 +896,11 @@ const func_builtins & value_array_t::get_builtins() const {
         }},
         {"string", [](const func_args & args) -> value {
             args.ensure_vals<value_array>();
+            if (args.ctx.is_get_stats) {
+                // mark as used (recursively) for stats
+                auto val_input = args.get_pos(0);
+                value_t::stats_t::mark_used(const_cast<value&>(val_input), true);
+            }
             return mk_val<value_string>(args.get_pos(0)->as_string());
         }},
         {"tojson", tojson},
@@ -1007,6 +1056,11 @@ const func_builtins & value_object_t::get_builtins() const {
         {"tojson", tojson},
         {"string", [](const func_args & args) -> value {
             args.ensure_vals<value_object>();
+            if (args.ctx.is_get_stats) {
+                // mark as used (recursively) for stats
+                auto val_input = args.get_pos(0);
+                value_t::stats_t::mark_used(const_cast<value&>(val_input), true);
+            }
             return mk_val<value_string>(args.get_pos(0)->as_string());
         }},
         {"length", [](const func_args & args) -> value {
@@ -1319,4 +1373,21 @@ std::string value_to_string_repr(const value & val) {
     }
 }
 
+// stats utility
+void value_t::stats_t::mark_used(value & val, bool deep) {
+    val->stats.used = true;
+    if (deep) {
+        if (is_val<value_array>(val)) {
+            for (auto & item : val->val_arr) {
+                mark_used(item, deep);
+            }
+        } else if (is_val<value_object>(val)) {
+            for (auto & pair : val->val_obj) {
+                mark_used(pair.first, deep);
+                mark_used(pair.second, deep);
+            }
+        }
+    }
+}
+
 } // namespace jinja
diff --git a/common/jinja/value.h b/common/jinja/value.h
index 1c04760a08c..6cbedefd96e 100644
--- a/common/jinja/value.h
+++ b/common/jinja/value.h
@@ -12,8 +12,8 @@
 #include <set>
 #include <sstream>
 #include <string>
-#include <unordered_map>
 #include <vector>
+#include <unordered_map>
 
 namespace jinja {
 
@@ -118,6 +118,8 @@ struct value_t {
         bool used = false;
         // ops can be builtin calls or operators: "array_access", "object_access"
         std::set<std::string> ops;
+        // utility to recursively mark value and its children as used
+        static void mark_used(value & val, bool deep = false);
     } stats;
 
     value_t() = default;
diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index 2f67c74d796..c7057d651d1 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -27,11 +27,11 @@ static std::string build_repetition(const std::string & item_rule, int min_items
     if (separator_rule.empty()) {
         if (min_items == 1 && !has_max) {
             return item_rule + "+";
-        } else if (min_items == 0 && !has_max) {
+        }
+        if (min_items == 0 && !has_max) {
             return item_rule + "*";
-        } else {
-            return item_rule + "{" + std::to_string(min_items) + "," + (has_max ? std::to_string(max_items) : "") + "}";
         }
+        return item_rule + "{" + std::to_string(min_items) + "," + (has_max ? std::to_string(max_items) : "") + "}";
     }
 
     auto result = item_rule + " " + build_repetition("(" + separator_rule + " " + item_rule + ")", min_items == 0 ? 0 : min_items - 1, has_max ? max_items - 1 : max_items);
@@ -41,7 +41,7 @@ static std::string build_repetition(const std::string & item_rule, int min_items
     return result;
 }
 
-static void _build_min_max_int(int64_t min_value, int64_t max_value, std::stringstream & out, int decimals_left = 16, bool top_level = true) {
+static void build_min_max_int(int64_t min_value, int64_t max_value, std::stringstream & out, int decimals_left = 16, bool top_level = true) {
     auto has_min = min_value != std::numeric_limits<int64_t>::min();
     auto has_max = max_value != std::numeric_limits<int64_t>::max();
 
@@ -128,14 +128,14 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string
     if (has_min && has_max) {
         if (min_value < 0 && max_value < 0) {
             out << "\"-\" (";
-            _build_min_max_int(-max_value, -min_value, out, decimals_left, /* top_level= */ true);
+            build_min_max_int(-max_value, -min_value, out, decimals_left, /* top_level= */ true);
             out << ")";
             return;
         }
 
         if (min_value < 0) {
             out << "\"-\" (";
-            _build_min_max_int(0, -min_value, out, decimals_left, /* top_level= */ true);
+            build_min_max_int(0, -min_value, out, decimals_left, /* top_level= */ true);
             out << ") | ";
             min_value = 0;
         }
@@ -159,7 +159,7 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string
     if (has_min) {
         if (min_value < 0) {
             out << "\"-\" (";
-            _build_min_max_int(std::numeric_limits<int64_t>::min(), -min_value, out, decimals_left, /* top_level= */ false);
+            build_min_max_int(std::numeric_limits<int64_t>::min(), -min_value, out, decimals_left, /* top_level= */ false);
             out << ") | [0] | [1-9] ";
             more_digits(0, decimals_left - 1);
         } else if (min_value == 0) {
@@ -194,7 +194,7 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string
             }
             digit_range(c, c);
             out << " (";
-            _build_min_max_int(std::stoll(min_s.substr(1)), std::numeric_limits<int64_t>::max(), out, less_decimals, /* top_level= */ false);
+            build_min_max_int(std::stoll(min_s.substr(1)), std::numeric_limits<int64_t>::max(), out, less_decimals, /* top_level= */ false);
             out << ")";
             if (c < '9') {
                 out << " | ";
@@ -213,10 +213,10 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string
                 more_digits(0, less_decimals);
                 out << " | ";
             }
-            _build_min_max_int(0, max_value, out, decimals_left, /* top_level= */ true);
+            build_min_max_int(0, max_value, out, decimals_left, /* top_level= */ true);
         } else {
             out << "\"-\" (";
-            _build_min_max_int(-max_value, std::numeric_limits<int64_t>::max(), out, decimals_left, /* top_level= */ false);
+            build_min_max_int(-max_value, std::numeric_limits<int64_t>::max(), out, decimals_left, /* top_level= */ false);
             out << ")";
         }
         return;
@@ -232,7 +232,7 @@ struct BuiltinRule {
     std::vector<std::string> deps;
 };
 
-std::unordered_map<std::string, BuiltinRule> PRIMITIVE_RULES = {
+static std::unordered_map<std::string, BuiltinRule> PRIMITIVE_RULES = {
     {"boolean", {"(\"true\" | \"false\") space", {}}},
     {"decimal-part", {"[0-9]{1,16}", {}}},
     {"integral-part", {"[0] | [1-9] [0-9]{0,15}", {}}},
@@ -247,7 +247,7 @@ std::unordered_map<std::string, BuiltinRule> PRIMITIVE_RULES = {
     {"null", {"\"null\" space", {}}},
 };
 
-std::unordered_map<std::string, BuiltinRule> STRING_FORMAT_RULES = {
+static std::unordered_map<std::string, BuiltinRule> STRING_FORMAT_RULES = {
     {"date", {"[0-9]{4} \"-\" ( \"0\" [1-9] | \"1\" [0-2] ) \"-\" ( \"0\" [1-9] | [1-2] [0-9] | \"3\" [0-1] )", {}}},
     {"time", {"([01] [0-9] | \"2\" [0-3]) \":\" [0-5] [0-9] \":\" [0-5] [0-9] ( \".\" [0-9]{3} )? ( \"Z\" | ( \"+\" | \"-\" ) ( [01] [0-9] | \"2\" [0-3] ) \":\" [0-5] [0-9] )", {}}},
     {"date-time", {"date \"T\" time", {"date", "time"}}},
@@ -260,22 +260,26 @@ static bool is_reserved_name(const std::string & name) {
     static const std::unordered_set<std::string> RESERVED_NAMES = [] {
         std::unordered_set<std::string> s;
         s.insert("root");
-        for (const auto & p : PRIMITIVE_RULES) s.insert(p.first);
-        for (const auto & p : STRING_FORMAT_RULES) s.insert(p.first);
+        for (const auto & p : PRIMITIVE_RULES) {
+            s.insert(p.first);
+        }
+        for (const auto & p : STRING_FORMAT_RULES) {
+            s.insert(p.first);
+        }
         return s;
     }();
     return RESERVED_NAMES.find(name) != RESERVED_NAMES.end();
 }
 
-std::regex INVALID_RULE_CHARS_RE("[^a-zA-Z0-9-]+");
-std::regex GRAMMAR_LITERAL_ESCAPE_RE("[\r\n\"\\\\]");
-std::regex GRAMMAR_RANGE_LITERAL_ESCAPE_RE("[\r\n\"\\]\\-\\\\]");
-std::unordered_map<char, std::string> GRAMMAR_LITERAL_ESCAPES = {
+static std::regex INVALID_RULE_CHARS_RE("[^a-zA-Z0-9-]+");
+static std::regex GRAMMAR_LITERAL_ESCAPE_RE("[\r\n\"\\\\]");
+static std::regex GRAMMAR_RANGE_LITERAL_ESCAPE_RE("[\r\n\"\\]\\-\\\\]");
+static std::unordered_map<char, std::string> GRAMMAR_LITERAL_ESCAPES = {
     {'\r', "\\r"}, {'\n', "\\n"}, {'"', "\\\""}, {'-', "\\-"}, {']', "\\]"}, {'\\', "\\\\"}
 };
 
-std::unordered_set<char> NON_LITERAL_SET = {'|', '.', '(', ')', '[', ']', '{', '}', '*', '+', '?'};
-std::unordered_set<char> ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = {'^', '$', '.', '[', ']', '(', ')', '|', '{', '}', '*', '+', '?'};
+static std::unordered_set<char> NON_LITERAL_SET = {'|', '.', '(', ')', '[', ']', '{', '}', '*', '+', '?'};
+static std::unordered_set<char> ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = {'^', '$', '.', '[', ']', '(', ')', '|', '{', '}', '*', '+', '?'};
 
 static std::string replacePattern(const std::string & input, const std::regex & regex, const std::function<std::string(const std::smatch  &)> & replacement) {
     std::smatch match;
@@ -322,19 +326,19 @@ class common_schema_converter {
         if (_rules.find(esc_name) == _rules.end() || _rules[esc_name] == rule) {
             _rules[esc_name] = rule;
             return esc_name;
-        } else {
-            int i = 0;
-            while (_rules.find(esc_name + std::to_string(i)) != _rules.end() && _rules[esc_name + std::to_string(i)] != rule) {
-                i++;
-            }
-            std::string key = esc_name + std::to_string(i);
-            _rules[key] = rule;
-            return key;
         }
+        int i = 0;
+        while (_rules.find(esc_name + std::to_string(i)) != _rules.end() && _rules[esc_name + std::to_string(i)] != rule) {
+            i++;
+        }
+        std::string key = esc_name + std::to_string(i);
+        _rules[key] = rule;
+        return key;
     }
 
     std::string _generate_union_rule(const std::string & name, const std::vector<json> & alt_schemas) {
         std::vector<std::string> rules;
+        rules.reserve(alt_schemas.size());
         for (size_t i = 0; i < alt_schemas.size(); i++) {
             rules.push_back(visit(alt_schemas[i], name + (name.empty() ? "alternative-" : "-") + std::to_string(i)));
         }
@@ -398,6 +402,7 @@ class common_schema_converter {
                 flush_literal();
 
                 std::vector<std::string> results;
+                results.reserve(ret.size());
                 for (const auto & item : ret) {
                     results.push_back(to_rule(item));
                 }
@@ -551,7 +556,7 @@ class common_schema_converter {
             TrieNode() : is_end_of_string(false) {}
 
             void insert(const std::string & string) {
-                auto node = this;
+                auto *node = this;
                 for (char c : string) {
                     node = &node->children[c];
                 }
@@ -676,7 +681,7 @@ class common_schema_converter {
                 if (ks.empty()) {
                     return res;
                 }
-                std::string k = ks[0];
+                const std::string& k = ks[0];
                 std::string kv_rule_name = prop_kv_rule_names[k];
                 std::string comma_ref = "( \",\" space " + kv_rule_name + " )";
                 if (first_is_optional) {
@@ -779,13 +784,13 @@ class common_schema_converter {
                         std::string pointer = ref.substr(ref.find('#') + 1);
                         std::vector<std::string> tokens = string_split(pointer, "/");
                         for (size_t i = 1; i < tokens.size(); ++i) {
-                            std::string sel = tokens[i];
+                            const std::string& sel = tokens[i];
                             if (target.is_object() && target.contains(sel)) {
                                 target = target[sel];
                             } else if (target.is_array()) {
                                 size_t sel_index;
                                 try {
-                                    sel_index = std::stoul(sel);
+                                    sel_index = std::stoull(sel);
                                 } catch (const std::invalid_argument & e) {
                                     sel_index = target.size();
                                 }
@@ -802,7 +807,7 @@ class common_schema_converter {
                         _refs[ref] = target;
                     }
                 } else {
-                    for (auto & kv : n.items()) {
+                    for (const auto & kv : n.items()) {
                         visit_refs(kv.value());
                     }
                 }
@@ -812,7 +817,7 @@ class common_schema_converter {
         visit_refs(schema);
     }
 
-    std::string _generate_constant_rule(const json & value) {
+    static std::string _generate_constant_rule(const json & value) {
         return format_literal(value.dump());
     }
 
@@ -823,10 +828,12 @@ class common_schema_converter {
 
         if (schema.contains("$ref")) {
             return _add_rule(rule_name, _resolve_ref(schema["$ref"]));
-        } else if (schema.contains("oneOf") || schema.contains("anyOf")) {
+        }
+        if (schema.contains("oneOf") || schema.contains("anyOf")) {
             std::vector<json> alt_schemas = schema.contains("oneOf") ? schema["oneOf"].get<std::vector<json>>() : schema["anyOf"].get<std::vector<json>>();
             return _add_rule(rule_name, _generate_union_rule(name, alt_schemas));
-        } else if (schema_type.is_array()) {
+        }
+        if (schema_type.is_array()) {
             std::vector<json> schema_types;
             for (const auto & t : schema_type) {
                 json schema_copy(schema);
@@ -834,15 +841,18 @@ class common_schema_converter {
                 schema_types.push_back(schema_copy);
             }
             return _add_rule(rule_name, _generate_union_rule(name, schema_types));
-        } else if (schema.contains("const")) {
+        }
+        if (schema.contains("const")) {
             return _add_rule(rule_name, _generate_constant_rule(schema["const"]) + " space");
-        } else if (schema.contains("enum")) {
+        }
+        if (schema.contains("enum")) {
             std::vector<std::string> enum_values;
             for (const auto & v : schema["enum"]) {
                 enum_values.push_back(_generate_constant_rule(v));
             }
             return _add_rule(rule_name, "(" + string_join(enum_values, " | ") + ") space");
-        } else if ((schema_type.is_null() || schema_type == "object")
+        }
+        if ((schema_type.is_null() || schema_type == "object")
                 && (schema.contains("properties") ||
                     (schema.contains("additionalProperties") && schema["additionalProperties"] != true))) {
             std::unordered_set<std::string> required;
@@ -863,11 +873,12 @@ class common_schema_converter {
                 _build_object_rule(
                     properties, required, name,
                     schema.contains("additionalProperties") ? schema["additionalProperties"] : json()));
-        } else if ((schema_type.is_null() || schema_type == "object" || schema_type == "string") && schema.contains("allOf")) {
+        }
+        if ((schema_type.is_null() || schema_type == "object" || schema_type == "string") && schema.contains("allOf")) {
             std::unordered_set<std::string> required;
             std::vector<std::pair<std::string, json>> properties;
             std::map<std::string, size_t> enum_values;
-            std::string hybrid_name = name;
+            const std::string& hybrid_name = name;
             std::function<void(const json &, bool)> add_component = [&](const json & comp_schema, bool is_required) {
                 if (comp_schema.contains("$ref")) {
                     add_component(_refs[comp_schema["$ref"]], is_required);
@@ -890,9 +901,9 @@ class common_schema_converter {
                   // todo warning
                 }
             };
-            for (auto & t : schema["allOf"]) {
+            for (const auto & t : schema["allOf"]) {
                 if (t.contains("anyOf")) {
-                    for (auto & tt : t["anyOf"]) {
+                    for (const auto & tt : t["anyOf"]) {
                         add_component(tt, false);
                     }
                 } else {
@@ -911,7 +922,8 @@ class common_schema_converter {
                 }
             }
             return _add_rule(rule_name, _build_object_rule(properties, required, hybrid_name, json()));
-        } else if ((schema_type.is_null() || schema_type == "array") && (schema.contains("items") || schema.contains("prefixItems"))) {
+        }
+        if ((schema_type.is_null() || schema_type == "array") && (schema.contains("items") || schema.contains("prefixItems"))) {
             json items = schema.contains("items") ? schema["items"] : schema["prefixItems"];
             if (items.is_array()) {
                 std::string rule = "\"[\" space ";
@@ -923,27 +935,31 @@ class common_schema_converter {
                 }
                 rule += " \"]\" space";
                 return _add_rule(rule_name, rule);
-            } else {
-                std::string item_rule_name = visit(items, name + (name.empty() ? "" : "-") + "item");
-                int min_items = schema.contains("minItems") ? schema["minItems"].get<int>() : 0;
-                json max_items_json = schema.contains("maxItems") ? schema["maxItems"] : json();
-                int max_items = max_items_json.is_number_integer() ? max_items_json.get<int>() : std::numeric_limits<int>::max();
-
-                return _add_rule(rule_name, "\"[\" space " + build_repetition(item_rule_name, min_items, max_items, "\",\" space") + " \"]\" space");
             }
-        } else if ((schema_type.is_null() || schema_type == "string") && schema.contains("pattern")) {
+            std::string item_rule_name = visit(items, name + (name.empty() ? "" : "-") + "item");
+            int min_items = schema.contains("minItems") ? schema["minItems"].get<int>() : 0;
+            json max_items_json = schema.contains("maxItems") ? schema["maxItems"] : json();
+            int max_items = max_items_json.is_number_integer() ? max_items_json.get<int>() : std::numeric_limits<int>::max();
+
+            return _add_rule(rule_name, "\"[\" space " + build_repetition(item_rule_name, min_items, max_items, "\",\" space") + " \"]\" space");
+        }
+        if ((schema_type.is_null() || schema_type == "string") && schema.contains("pattern")) {
             return _visit_pattern(schema["pattern"], rule_name);
-        } else if ((schema_type.is_null() || schema_type == "string") && std::regex_match(schema_format, std::regex("^uuid[1-5]?$"))) {
+        }
+        if ((schema_type.is_null() || schema_type == "string") && std::regex_match(schema_format, std::regex("^uuid[1-5]?$"))) {
             return _add_primitive(rule_name == "root" ? "root" : schema_format, PRIMITIVE_RULES.at("uuid"));
-        } else if ((schema_type.is_null() || schema_type == "string") && STRING_FORMAT_RULES.find(schema_format + "-string") != STRING_FORMAT_RULES.end()) {
+        }
+        if ((schema_type.is_null() || schema_type == "string") && STRING_FORMAT_RULES.find(schema_format + "-string") != STRING_FORMAT_RULES.end()) {
             auto prim_name = schema_format + "-string";
             return _add_rule(rule_name, _add_primitive(prim_name, STRING_FORMAT_RULES.at(prim_name)));
-        } else if (schema_type == "string" && (schema.contains("minLength") || schema.contains("maxLength"))) {
+        }
+        if (schema_type == "string" && (schema.contains("minLength") || schema.contains("maxLength"))) {
             std::string char_rule = _add_primitive("char", PRIMITIVE_RULES.at("char"));
             int min_len = schema.contains("minLength") ? schema["minLength"].get<int>() : 0;
             int max_len = schema.contains("maxLength") ? schema["maxLength"].get<int>() : std::numeric_limits<int>::max();
             return _add_rule(rule_name, "\"\\\"\" " + build_repetition(char_rule, min_len, max_len) + " \"\\\"\" space");
-        } else if (schema_type == "integer" && (schema.contains("minimum") || schema.contains("exclusiveMinimum") || schema.contains("maximum") || schema.contains("exclusiveMaximum"))) {
+        }
+        if (schema_type == "integer" && (schema.contains("minimum") || schema.contains("exclusiveMinimum") || schema.contains("maximum") || schema.contains("exclusiveMaximum"))) {
             int64_t min_value = std::numeric_limits<int64_t>::min();
             int64_t max_value = std::numeric_limits<int64_t>::max();
             if (schema.contains("minimum")) {
@@ -958,19 +974,24 @@ class common_schema_converter {
             }
             std::stringstream out;
             out << "(";
-            _build_min_max_int(min_value, max_value, out);
+            build_min_max_int(min_value, max_value, out);
             out << ") space";
             return _add_rule(rule_name, out.str());
-        } else if (schema.empty() || schema_type == "object") {
+        }
+        if (schema.empty() || schema_type == "object") {
             return _add_rule(rule_name, _add_primitive("object", PRIMITIVE_RULES.at("object")));
-        } else {
-            if (!schema_type.is_string() || PRIMITIVE_RULES.find(schema_type.get<std::string>()) == PRIMITIVE_RULES.end()) {
-                _errors.push_back("Unrecognized schema: " + schema.dump());
-                return "";
-            }
-            // TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero
-            return _add_primitive(rule_name == "root" ? "root" : schema_type.get<std::string>(), PRIMITIVE_RULES.at(schema_type.get<std::string>()));
         }
+        if (schema_type.is_null() && schema.is_object()) {
+            // No type constraint and no recognized structural keywords (e.g. {"description": "..."}).
+            // Per JSON Schema semantics this is equivalent to {} and accepts any value.
+            return _add_rule(rule_name, _add_primitive("value", PRIMITIVE_RULES.at("value")));
+        }
+        if (!schema_type.is_string() || PRIMITIVE_RULES.find(schema_type.get<std::string>()) == PRIMITIVE_RULES.end()) {
+            _errors.push_back("Unrecognized schema: " + schema.dump());
+            return "";
+        }
+        // TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero
+        return _add_primitive(rule_name == "root" ? "root" : schema_type.get<std::string>(), PRIMITIVE_RULES.at(schema_type.get<std::string>()));
     }
 
     void check_errors() {
@@ -985,7 +1006,7 @@ class common_schema_converter {
     std::string format_grammar() {
         std::stringstream ss;
         for (const auto & kv : _rules) {
-            ss << kv.first << " ::= " << kv.second << std::endl;
+            ss << kv.first << " ::= " << kv.second << '\n';
         }
         return ss.str();
     }
diff --git a/common/peg-parser.cpp b/common/peg-parser.cpp
index f2fc84500f7..a6d9a4c27cb 100644
--- a/common/peg-parser.cpp
+++ b/common/peg-parser.cpp
@@ -1,14 +1,15 @@
-#include "common.h"
 #include "peg-parser.h"
+
+#include "common.h"
 #include "json-schema-to-grammar.h"
+#include "log.h"
 #include "unicode.h"
 
-#include <nlohmann/json.hpp>
-
 #include <algorithm>
 #include <initializer_list>
 #include <map>
 #include <memory>
+#include <nlohmann/json.hpp>
 #include <regex>
 #include <stdexcept>
 #include <unordered_set>
@@ -34,8 +35,7 @@ static bool is_hex_digit(const char c) {
 // This is used in common_peg_until_parser and to build a GBNF exclusion grammar
 struct trie {
     struct node {
-        size_t depth = 0;
-        std::map<unsigned char, size_t> children;
+        std::map<uint32_t, size_t> children;  // Use uint32_t to store Unicode codepoints
         bool is_word;
     };
 
@@ -55,15 +55,22 @@ struct trie {
         size_t current = 0; // Start at root
         size_t pos = start_pos;
 
+        // LOG_DBG("%s: checking at pos %zu, sv='%s'\n", __func__, start_pos, std::string(sv).c_str());
+
         while (pos < sv.size()) {
-            auto it = nodes[current].children.find(sv[pos]);
+            auto result = common_parse_utf8_codepoint(sv, pos);
+            if (result.status != utf8_parse_result::SUCCESS) {
+                break;
+            }
+
+            auto it = nodes[current].children.find(result.codepoint);
             if (it == nodes[current].children.end()) {
                 // Can't continue matching
                 return match_result{match_result::NO_MATCH};
             }
 
             current = it->second;
-            pos++;
+            pos += result.bytes_consumed;
 
             // Check if we've matched a complete word
             if (nodes[current].is_word) {
@@ -82,22 +89,22 @@ struct trie {
     }
 
     struct prefix_and_next {
-        std::string prefix;
-        std::string next_chars;
+        std::vector<uint32_t> prefix;
+        std::vector<uint32_t> next_chars;
     };
 
     std::vector<prefix_and_next> collect_prefix_and_next() {
-        std::string prefix;
+        std::vector<uint32_t>        prefix;
         std::vector<prefix_and_next> result;
         collect_prefix_and_next(0, prefix, result);
         return result;
     }
 
   private:
-    void collect_prefix_and_next(size_t index, std::string & prefix, std::vector<prefix_and_next> & out) {
+    void collect_prefix_and_next(size_t index, std::vector<uint32_t> & prefix, std::vector<prefix_and_next> & out) {
         if (!nodes[index].is_word) {
             if (!nodes[index].children.empty()) {
-                std::string chars;
+                std::vector<uint32_t> chars;
                 chars.reserve(nodes[index].children.size());
                 for (const auto & p : nodes[index].children) {
                     chars.push_back(p.first);
@@ -107,7 +114,7 @@ struct trie {
         }
 
         for (const auto & p : nodes[index].children) {
-            unsigned char ch = p.first;
+            uint32_t ch = p.first;
             auto child = p.second;
             prefix.push_back(ch);
             collect_prefix_and_next(child, prefix, out);
@@ -123,11 +130,19 @@ struct trie {
 
     void insert(const std::string & word) {
         size_t current = 0;
-        for (unsigned char ch : word) {
+        size_t pos     = 0;
+        while (pos < word.length()) {
+            auto result = common_parse_utf8_codepoint(word, pos);
+            if (result.status != utf8_parse_result::SUCCESS) {
+                break;
+            }
+
+            uint32_t ch = result.codepoint;
+            pos += result.bytes_consumed;
+
             auto it = nodes[current].children.find(ch);
             if (it == nodes[current].children.end()) {
                 size_t child = create_node();
-                nodes[child].depth = nodes[current].depth + 1;
                 nodes[current].children[ch] = child;
                 current = child;
             } else {
@@ -286,6 +301,32 @@ struct parser_executor {
     parser_executor(const common_peg_arena & arena, common_peg_parse_context & ctx, size_t start)
         : arena(arena), ctx(ctx), start_pos(start) {}
 
+    std::string debug_indent() const { return std::string(ctx.parse_depth * 2, ' '); }
+
+    std::string debug_input_snippet(size_t pos, size_t len = 60) const {
+        if (pos >= ctx.input.size()) {
+            return "<EOF>";
+        }
+        auto        snippet = ctx.input.substr(pos, len);
+        // Escape newlines for display
+        std::string result;
+        for (char c : snippet) {
+            if (c == '\n') {
+                result += "\\n";
+            } else if (c == '\r') {
+                result += "\\r";
+            } else if (c == '\t') {
+                result += "\\t";
+            } else {
+                result += c;
+            }
+        }
+        if (pos + len < ctx.input.size()) {
+            result += "...";
+        }
+        return result;
+    }
+
     common_peg_parse_result operator()(const common_peg_epsilon_parser & /* p */) const {
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos);
     }
@@ -308,7 +349,7 @@ struct parser_executor {
         auto pos = start_pos;
         for (auto i = 0u; i < p.literal.size(); ++i) {
             if (pos >= ctx.input.size()) {
-                if (!ctx.is_partial) {
+                if (!ctx.is_lenient()) {
                     return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos);
                 }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos);
@@ -323,12 +364,32 @@ struct parser_executor {
     }
 
     common_peg_parse_result operator()(const common_peg_sequence_parser & p) {
+        if (ctx.is_debug()) {
+            LOG_DBG("%sSEQ start at %zu '%s' (%zu children)\n", debug_indent().c_str(), start_pos,
+                    debug_input_snippet(start_pos).c_str(), p.children.size());
+        }
+        ctx.parse_depth++;
+
         auto pos = start_pos;
         std::vector<common_peg_ast_id> nodes;
 
-        for (const auto & child_id : p.children) {
+        for (size_t i = 0; i < p.children.size(); i++) {
+            const auto & child_id = p.children[i];
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sSEQ child %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str());
+            }
             auto result = arena.parse(child_id, ctx, pos);
+
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sSEQ child %zu: %s at %zu->%zu\n", debug_indent().c_str(), i,
+                        common_peg_parse_result_type_name(result.type), result.start, result.end);
+            }
+
             if (result.fail()) {
+                ctx.parse_depth--;
+                if (ctx.is_debug()) {
+                    fprintf(stderr, "%sSEQ -> FAIL\n", debug_indent().c_str());
+                }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, result.end);
             }
 
@@ -337,28 +398,65 @@ struct parser_executor {
             }
 
             if (result.need_more_input()) {
+                ctx.parse_depth--;
+                if (ctx.is_debug()) {
+                    fprintf(stderr, "%sSEQ -> NEED_MORE\n", debug_indent().c_str());
+                }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, std::move(nodes));
             }
 
             pos = result.end;
         }
 
+        ctx.parse_depth--;
+        if (ctx.is_debug()) {
+            fprintf(stderr, "%sSEQ -> SUCCESS at %zu->%zu\n", debug_indent().c_str(), start_pos, pos);
+        }
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos, std::move(nodes));
     }
 
     common_peg_parse_result operator()(const common_peg_choice_parser & p) {
+        if (ctx.is_debug()) {
+            fprintf(stderr, "%sCHOICE start at %zu '%s' (%zu options)\n", debug_indent().c_str(), start_pos,
+                    debug_input_snippet(start_pos).c_str(), p.children.size());
+        }
+        ctx.parse_depth++;
+
         auto pos = start_pos;
-        for (const auto & child_id : p.children) {
+        for (size_t i = 0; i < p.children.size(); i++) {
+            const auto & child_id = p.children[i];
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str());
+            }
             auto result = arena.parse(child_id, ctx, pos);
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i,
+                        common_peg_parse_result_type_name(result.type));
+            }
             if (!result.fail()) {
+                ctx.parse_depth--;
+                if (ctx.is_debug()) {
+                    fprintf(stderr, "%sCHOICE -> %s (option %zu)\n", debug_indent().c_str(),
+                            common_peg_parse_result_type_name(result.type), i);
+                }
                 return result;
             }
         }
 
+        ctx.parse_depth--;
+        if (ctx.is_debug()) {
+            fprintf(stderr, "%sCHOICE -> FAIL (no options matched)\n", debug_indent().c_str());
+        }
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos);
     }
 
     common_peg_parse_result operator()(const common_peg_repetition_parser & p) {
+        if (ctx.is_debug()) {
+            fprintf(stderr, "%sREPEAT start at %zu '%s' (min=%d, max=%d)\n", debug_indent().c_str(), start_pos,
+                    debug_input_snippet(start_pos).c_str(), p.min_count, p.max_count);
+        }
+        ctx.parse_depth++;
+
         auto pos = start_pos;
         int match_count = 0;
         std::vector<common_peg_ast_id> nodes;
@@ -366,14 +464,26 @@ struct parser_executor {
         // Try to match up to max_count times (or unlimited if max_count is -1)
         while (p.max_count == -1 || match_count < p.max_count) {
             if (pos >= ctx.input.size()) {
+                if (ctx.is_debug()) {
+                    fprintf(stderr, "%sREPEAT: at end of input, count=%d\n", debug_indent().c_str(), match_count);
+                }
                 break;
             }
 
             auto result = arena.parse(p.child, ctx, pos);
 
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sREPEAT iter %d: %s at %zu->%zu, nodes=%zu\n", debug_indent().c_str(), match_count,
+                        common_peg_parse_result_type_name(result.type), result.start, result.end, result.nodes.size());
+                fprintf(stderr, "%sREPEAT CHILD: %s\n", debug_indent().c_str(), arena.dump(p.child).c_str());
+            }
+
             if (result.success()) {
                 // Prevent infinite loop on empty matches
                 if (result.end == pos) {
+                    if (ctx.is_debug()) {
+                        fprintf(stderr, "%s  REPEAT: empty match, stopping\n", debug_indent().c_str());
+                    }
                     break;
                 }
 
@@ -391,21 +501,43 @@ struct parser_executor {
                     nodes.insert(nodes.end(), result.nodes.begin(), result.nodes.end());
                 }
 
+                ctx.parse_depth--;
+                if (ctx.is_debug()) {
+                    fprintf(stderr, "%sREPEAT -> NEED_MORE (count=%d, nodes=%zu)\n", debug_indent().c_str(),
+                            match_count, nodes.size());
+                }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, std::move(nodes));
             }
 
             // Child failed - stop trying
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sREPEAT: child failed, stopping\n", debug_indent().c_str());
+            }
             break;
         }
 
         // Check if we got enough matches
         if (p.min_count > 0 && match_count < p.min_count) {
-            if (pos >= ctx.input.size() && ctx.is_partial) {
+            ctx.parse_depth--;
+            if (pos >= ctx.input.size() && ctx.is_lenient()) {
+                if (ctx.is_debug()) {
+                    fprintf(stderr, "%sREPEAT -> NEED_MORE (not enough matches: %d < %d)\n", debug_indent().c_str(),
+                            match_count, p.min_count);
+                }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos, std::move(nodes));
             }
+            if (ctx.is_debug()) {
+                fprintf(stderr, "%sREPEAT -> FAIL (not enough matches: %d < %d)\n", debug_indent().c_str(), match_count,
+                        p.min_count);
+            }
             return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos);
         }
 
+        ctx.parse_depth--;
+        if (ctx.is_debug()) {
+            fprintf(stderr, "%sREPEAT -> SUCCESS (count=%d, nodes=%zu)\n", debug_indent().c_str(), match_count,
+                    nodes.size());
+        }
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos, std::move(nodes));
     }
 
@@ -434,10 +566,10 @@ struct parser_executor {
 
     common_peg_parse_result operator()(const common_peg_any_parser & /* p */) const {
         // Parse a single UTF-8 codepoint (not just a single byte)
-        auto result = parse_utf8_codepoint(ctx.input, start_pos);
+        auto result = common_parse_utf8_codepoint(ctx.input, start_pos);
 
         if (result.status == utf8_parse_result::INCOMPLETE) {
-            if (!ctx.is_partial) {
+            if (!ctx.is_lenient()) {
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos);
             }
             return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos);
@@ -468,7 +600,7 @@ struct parser_executor {
 
         // Try to match up to max_count times (or unlimited if max_count is -1)
         while (p.max_count == -1 || match_count < p.max_count) {
-            auto result = parse_utf8_codepoint(ctx.input, pos);
+            auto result = common_parse_utf8_codepoint(ctx.input, pos);
 
             if (result.status == utf8_parse_result::INCOMPLETE) {
                 if (match_count >= p.min_count) {
@@ -476,7 +608,7 @@ struct parser_executor {
                     return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos);
                 }
                 // Not enough matches yet
-                if (!ctx.is_partial) {
+                if (!ctx.is_lenient()) {
                     return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos);
                 }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos);
@@ -517,7 +649,7 @@ struct parser_executor {
 
         // Check if we got enough matches
         if (match_count < p.min_count) {
-            if (pos >= ctx.input.size() && ctx.is_partial) {
+            if (pos >= ctx.input.size() && ctx.is_lenient()) {
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos);
             }
             return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos);
@@ -526,31 +658,23 @@ struct parser_executor {
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos);
     }
 
-    static common_peg_parse_result handle_escape_sequence(common_peg_parse_context & ctx, size_t start, size_t & pos) {
+    static common_peg_parse_result handle_escape_sequence(common_peg_parse_context & ctx, size_t start, size_t & pos, const char delimiter) {
         ++pos; // consume '\'
         if (pos >= ctx.input.size()) {
-            if (!ctx.is_partial) {
+            if (!ctx.is_lenient()) {
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start);
             }
             return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start, pos);
         }
 
-        switch (ctx.input[pos]) {
-            case '"':
-            case '\\':
-            case '/':
-            case 'b':
-            case 'f':
-            case 'n':
-            case 'r':
-            case 't':
-                ++pos;
-                return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start, pos);
-            case 'u':
-                return handle_unicode_escape(ctx, start, pos);
-            default:
-                // Invalid escape sequence
-                return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start);
+        char c = ctx.input[pos];
+        if (c == delimiter || c == '\\' || c == '/' || c == 'b' || c == 'f' || c == 'n' || c == 'r' || c == 't') {
+            ++pos;
+            return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start, pos);
+        } else if (c == 'u') {
+            return handle_unicode_escape(ctx, start, pos);
+        } else {
+            return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start);
         }
     }
 
@@ -558,7 +682,7 @@ struct parser_executor {
         ++pos; // consume 'u'
         for (int i = 0; i < 4; ++i) {
             if (pos >= ctx.input.size()) {
-                if (!ctx.is_partial) {
+                if (!ctx.is_lenient()) {
                     return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start);
                 }
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start, pos);
@@ -571,28 +695,28 @@ struct parser_executor {
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start, pos);
     }
 
-    common_peg_parse_result operator()(const common_peg_json_string_parser & /* p */) {
+    common_peg_parse_result operator()(const common_peg_string_parser & p) {
         auto pos = start_pos;
 
         // Parse string content (without quotes)
         while (pos < ctx.input.size()) {
             char c = ctx.input[pos];
 
-            if (c == '"') {
-                // Found closing quote - success (don't consume it)
+            if (c == p.delimiter) {
+                // Found closing delimiter - success (don't consume it)
                 return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos);
             }
 
             if (c == '\\') {
-                auto result = handle_escape_sequence(ctx, start_pos, pos);
+                auto result = handle_escape_sequence(ctx, start_pos, pos, p.delimiter);
                 if (!result.success()) {
                     return result;
                 }
             } else {
-                auto utf8_result = parse_utf8_codepoint(ctx.input, pos);
+                auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos);
 
                 if (utf8_result.status == utf8_parse_result::INCOMPLETE) {
-                    if (!ctx.is_partial) {
+                    if (!ctx.is_lenient()) {
                         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos);
                     }
                     return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos);
@@ -607,7 +731,7 @@ struct parser_executor {
         }
 
         // Reached end without finding closing quote
-        if (!ctx.is_partial) {
+        if (!ctx.is_lenient()) {
             return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos);
         }
         return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos);
@@ -621,11 +745,11 @@ struct parser_executor {
         size_t last_valid_pos = start_pos;
 
         while (pos < ctx.input.size()) {
-            auto utf8_result = parse_utf8_codepoint(ctx.input, pos);
+            auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos);
 
             if (utf8_result.status == utf8_parse_result::INCOMPLETE) {
                 // Incomplete UTF-8 sequence
-                if (!ctx.is_partial) {
+                if (!ctx.is_lenient()) {
                     // Input is complete but UTF-8 is incomplete = malformed
                     return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos);
                 }
@@ -655,7 +779,7 @@ struct parser_executor {
             last_valid_pos = pos;
         }
 
-        if (last_valid_pos == ctx.input.size() && ctx.is_partial) {
+        if (last_valid_pos == ctx.input.size() && ctx.is_lenient()) {
             // Reached the end of a partial stream, there might still be more input that we need to consume.
             return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, last_valid_pos);
         }
@@ -694,6 +818,9 @@ struct parser_executor {
 
     common_peg_parse_result operator()(const common_peg_tag_parser & p) {
         // Parse the child
+        if (ctx.is_debug()) {
+            fprintf(stderr, "%sTAG: %s\n", debug_indent().c_str(), p.tag.c_str());
+        }
         auto result = arena.parse(p.child, ctx, start_pos);
 
         if (!result.fail()) {
@@ -755,6 +882,31 @@ common_peg_parser_id common_peg_arena::resolve_ref(common_peg_parser_id id) {
     return id;
 }
 
+static void bfs_node(common_peg_ast_arena &arena, std::ostringstream & oss, const common_peg_ast_node & node, int indent) {
+    for (int i = 0; i < indent; i++) {
+        oss << "  ";
+    }
+    oss << "NODE " << node.id;
+    if (!node.rule.empty()) {
+        oss << " (rule " << node.rule << ")";
+    }
+    if (!node.tag.empty()) {
+        oss << " (tag " << node.tag << ")";
+    }
+    oss << " ['" << node.text << "']\n";
+    for (const auto child : node.children) {
+        bfs_node(arena, oss, arena.get(child), indent + 1);
+    }
+}
+
+std::string common_peg_ast_arena::dump() {
+    std::ostringstream oss;
+    for (auto & node : nodes_) {
+        bfs_node(*this, oss, node, 0);
+    }
+    return oss.str();
+}
+
 void common_peg_arena::resolve_refs() {
     // Walk through all parsers and replace refs with their corresponding rule IDs
     for (auto & parser : parsers_) {
@@ -785,7 +937,7 @@ void common_peg_arena::resolve_refs() {
                                  std::is_same_v<T, common_peg_ref_parser> ||
                                  std::is_same_v<T, common_peg_until_parser> ||
                                  std::is_same_v<T, common_peg_literal_parser> ||
-                                 std::is_same_v<T, common_peg_json_string_parser> ||
+                                 std::is_same_v<T, common_peg_string_parser> ||
                                  std::is_same_v<T, common_peg_chars_parser> ||
                                  std::is_same_v<T, common_peg_any_parser> ||
                                  std::is_same_v<T, common_peg_space_parser>) {
@@ -803,9 +955,21 @@ void common_peg_arena::resolve_refs() {
 }
 
 std::string common_peg_arena::dump(common_peg_parser_id id) const {
+    std::unordered_set<common_peg_parser_id> visited;
+    return dump_impl(id, visited);
+}
+
+std::string common_peg_arena::dump_impl(common_peg_parser_id                       id,
+                                        std::unordered_set<common_peg_parser_id> & visited) const {
+    // Check for cycles
+    if (visited.count(id)) {
+        return "[cycle]";
+    }
+    visited.insert(id);
+
     const auto & parser = parsers_.at(id);
 
-    return std::visit([this](const auto & p) -> std::string {
+    return std::visit([this, &visited](const auto & p) -> std::string {
         using T = std::decay_t<decltype(p)>;
 
         if constexpr (std::is_same_v<T, common_peg_epsilon_parser>) {
@@ -819,24 +983,27 @@ std::string common_peg_arena::dump(common_peg_parser_id id) const {
         } else if constexpr (std::is_same_v<T, common_peg_sequence_parser>) {
             std::vector<std::string> parts;
             for (const auto & child : p.children) {
-                parts.push_back(dump(child));
+                parts.push_back(dump_impl(child, visited));
             }
             return "Sequence(" + string_join(parts, ", ") + ")";
         } else if constexpr (std::is_same_v<T, common_peg_choice_parser>) {
             std::vector<std::string> parts;
             for (const auto & child : p.children) {
-                parts.push_back(dump(child));
+                parts.push_back(dump_impl(child, visited));
             }
             return "Choice(" + string_join(parts, ", ") + ")";
         } else if constexpr (std::is_same_v<T, common_peg_repetition_parser>) {
             if (p.max_count == -1) {
-                return "Repetition(" + dump(p.child) + ", " + std::to_string(p.min_count) + ", unbounded)";
+                return "Repetition(" + dump_impl(p.child, visited) + ", " + std::to_string(p.min_count) +
+                        ", unbounded)";
             }
-            return "Repetition(" + dump(p.child) + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")";
+            return "Repetition(" + dump_impl(p.child, visited) + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_and_parser>) {
-            return "And(" + dump(p.child) + ")";
+            return "And(" + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_not_parser>) {
-            return "Not(" + dump(p.child) + ")";
+            return "Not(" + dump_impl(p.child, visited) + ")";
+        } else if constexpr (std::is_same_v<T, common_peg_atomic_parser>) {
+            return "Atomic(" + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_any_parser>) {
             return "Any";
         } else if constexpr (std::is_same_v<T, common_peg_space_parser>) {
@@ -846,16 +1013,20 @@ std::string common_peg_arena::dump(common_peg_parser_id id) const {
                 return "CharRepeat(" + p.pattern + ", " + std::to_string(p.min_count) + ", unbounded)";
             }
             return "CharRepeat(" + p.pattern + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")";
-        } else if constexpr (std::is_same_v<T, common_peg_json_string_parser>) {
-            return "JsonString()";
+        } else if constexpr (std::is_same_v<T, common_peg_string_parser>) {
+            return "String(" + std::string(1, p.delimiter) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_until_parser>) {
             return "Until(" + string_join(p.delimiters, " | ") + ")";
         } else if constexpr (std::is_same_v<T, common_peg_schema_parser>) {
-            return "Schema(" + dump(p.child) + ", " + (p.schema ? p.schema->dump() : "null") + ")";
+            return "Schema(" + dump_impl(p.child, visited) + ", " + (p.schema ? p.schema->dump() : "null") + ")";
         } else if constexpr (std::is_same_v<T, common_peg_rule_parser>) {
-            return "Rule(" + p.name + ", " + dump(p.child) + ")";
+            return "Rule(" + p.name + ", " + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_ref_parser>) {
             return "Ref(" + p.name + ")";
+        } else if constexpr (std::is_same_v<T, common_peg_tag_parser>) {
+            return "Tag(" + p.tag + ", " + dump(p.child) + ")";
+        } else if constexpr (std::is_same_v<T, common_peg_atomic_parser>) {
+            return "Atomic(" + dump(p.child) + ")";
         } else {
             return "Unknown";
         }
@@ -1054,7 +1225,32 @@ common_peg_arena common_peg_parser_builder::build() {
     return std::move(arena_);
 }
 
+// String primitives
+
+common_peg_parser common_peg_parser_builder::string_content(char delimiter) {
+    return wrap(arena_.add_parser(common_peg_string_parser{delimiter}));
+}
+
+common_peg_parser common_peg_parser_builder::double_quoted_string() {
+    return rule("double-quoted-string", [this]() {
+        return sequence({literal("\""), string_content('"'), literal("\""), space()});
+    });
+}
+
+common_peg_parser common_peg_parser_builder::single_quoted_string() {
+    return rule("single-quoted-string", [this]() {
+        return sequence({literal("'"), string_content('\''), literal("'"), space()});
+    });
+}
+
+common_peg_parser common_peg_parser_builder::quoted_string() {
+    return rule("quoted-string", [this]() {
+        return choice({double_quoted_string(), single_quoted_string()});
+    });
+}
+
 // JSON parsers
+
 common_peg_parser common_peg_parser_builder::json_number() {
    return rule("json-number", [this]() {
         auto digit1_9 = chars("[1-9]", 1, 1);
@@ -1062,13 +1258,17 @@ common_peg_parser common_peg_parser_builder::json_number() {
         auto int_part = choice({literal("0"), sequence({digit1_9, chars("[0-9]", 0, -1)})});
         auto frac = sequence({literal("."), digits});
         auto exp = sequence({choice({literal("e"), literal("E")}), optional(chars("[+-]", 1, 1)), digits});
-        return sequence({optional(literal("-")), int_part, optional(frac), optional(exp), space()});
+        // Negative lookahead: only commit the number when the next character can't extend it.
+        // At EOF in partial mode, chars returns NEED_MORE → negate propagates NEED_MORE → number not committed.
+        // This prevents premature commits of partial numbers (e.g. "3" when "3.14" is incoming).
+        auto not_number_continuation = negate(chars("[0-9.eE+-]", 1, 1));
+        return sequence({ optional(literal("-")), int_part, optional(frac), optional(exp), not_number_continuation, space() });
     });
 }
 
 common_peg_parser common_peg_parser_builder::json_string() {
     return rule("json-string", [this]() {
-        return sequence({literal("\""), json_string_content(), literal("\""), space()});
+        return sequence({literal("\""), string_content('"'), literal("\""), space()});
     });
 }
 
@@ -1130,8 +1330,81 @@ common_peg_parser common_peg_parser_builder::json() {
     });
 }
 
-common_peg_parser common_peg_parser_builder::json_string_content() {
-    return wrap(arena_.add_parser(common_peg_json_string_parser{}));
+common_peg_parser common_peg_parser_builder::python_string() {
+    return rule("python-string", [this]() {
+        return choice({double_quoted_string(), single_quoted_string()});
+    });
+}
+
+common_peg_parser common_peg_parser_builder::python_number() {
+    return json_number();
+}
+
+common_peg_parser common_peg_parser_builder::python_bool() {
+    return rule("python-bool", [this]() {
+        return sequence({
+            choice({literal("True"), literal("False")}),
+            space()
+        });
+    });
+}
+
+common_peg_parser common_peg_parser_builder::python_null() {
+    return rule("python-none", [this]() {
+        return sequence({literal("None"), space()});
+    });
+}
+
+common_peg_parser common_peg_parser_builder::python_dict() {
+    return rule("python-dict", [this]() {
+        auto ws = space();
+        auto member = sequence({python_string(), ws, literal(":"), ws, python_value()});
+        auto members = sequence({member, zero_or_more(sequence({ws, literal(","), ws, member}))});
+        return sequence({
+            literal("{"),
+            ws,
+            choice({
+                literal("}"),
+                sequence({members, ws, literal("}")})
+            }),
+            ws
+        });
+    });
+}
+
+common_peg_parser common_peg_parser_builder::python_array() {
+    return rule("python-array", [this]() {
+        auto ws = space();
+        auto elements = sequence({python_value(), zero_or_more(sequence({literal(","), ws, python_value()}))});
+        return sequence({
+            literal("["),
+            ws,
+            choice({
+                literal("]"),
+                sequence({elements, ws, literal("]")})
+            }),
+            ws
+        });
+    });
+}
+
+common_peg_parser common_peg_parser_builder::python_value() {
+    return rule("python-value", [this]() {
+        return choice({
+            python_dict(),
+            python_array(),
+            python_string(),
+            python_number(),
+            python_bool(),
+            python_null()
+        });
+    });
+}
+
+common_peg_parser common_peg_parser_builder::marker() {
+    auto sharp_bracket_parser = literal("<") + until(">") + literal(">");
+    auto square_bracket_parser = literal("[") + until("]") + literal("]");
+    return choice({ sharp_bracket_parser, square_bracket_parser });
 }
 
 common_peg_parser common_peg_parser_builder::json_member(const std::string & key, const common_peg_parser & p) {
@@ -1145,17 +1418,54 @@ common_peg_parser common_peg_parser_builder::json_member(const std::string & key
     });
 }
 
+static std::string gbnf_escape_char_class(uint32_t c) {
+    if (c == '-' || c == ']' || c == '[' || c == '\\') {
+        return "\\" + std::string(1, (char) c);
+    }
+    // Escape whitespace control characters
+    if (c == '\n') {
+        return "\\n";
+    }
+    if (c == '\t') {
+        return "\\t";
+    }
+    if (c == '\r') {
+        return "\\r";
+    }
 
-static std::string gbnf_escape_char_class(char c) {
-    switch (c) {
-        case '\n': return "\\n";
-        case '\t': return "\\t";
-        case '\r': return "\\r";
-        case '\\': return "\\\\";
-        case ']':  return "\\]";
-        case '[':  return "\\[";
-        default:   return std::string(1, c);
+    // Printable ASCII
+    if (c >= 0x20 && c <= 0x7E) {
+        return std::string(1, (char) c);
     }
+
+    // Hex escape
+    char         buf[16];
+    const char * hex = "0123456789ABCDEF";
+
+    if (c <= 0xFF) {
+        buf[0] = '\\';
+        buf[1] = 'x';
+        buf[2] = hex[(c >> 4) & 0xF];
+        buf[3] = hex[c & 0xF];
+        buf[4] = '\0';
+    } else if (c <= 0xFFFF) {
+        buf[0] = '\\';
+        buf[1] = 'u';
+        buf[2] = hex[(c >> 12) & 0xF];
+        buf[3] = hex[(c >> 8) & 0xF];
+        buf[4] = hex[(c >> 4) & 0xF];
+        buf[5] = hex[c & 0xF];
+        buf[6] = '\0';
+    } else {
+        buf[0] = '\\';
+        buf[1] = 'U';
+        for (int i = 0; i < 8; i++) {
+            buf[2 + i] = hex[(c >> ((7 - i) * 4)) & 0xF];
+        }
+        buf[10] = '\0';
+    }
+
+    return std::string(buf);
 }
 
 static std::string gbnf_excluding_pattern(const std::vector<std::string> & strings) {
@@ -1173,12 +1483,12 @@ static std::string gbnf_excluding_pattern(const std::vector<std::string> & strin
 
         std::string cls;
         cls.reserve(chars.size());
-        for (const auto & ch : chars) {
+        for (uint32_t ch : chars) {
             cls += gbnf_escape_char_class(ch);
         }
 
         if (!pre.empty()) {
-            pattern += gbnf_format_literal(pre) + " [^" + cls + "]";
+            pattern += gbnf_format_literal(common_unicode_cpts_to_utf8(pre)) + " [^" + cls + "]";
         } else {
             pattern += "[^" + cls + "]";
         }
@@ -1208,7 +1518,7 @@ static std::unordered_set<std::string> collect_reachable_rules(
                           std::is_same_v<T, common_peg_chars_parser> ||
                           std::is_same_v<T, common_peg_space_parser> ||
                           std::is_same_v<T, common_peg_any_parser> ||
-                          std::is_same_v<T, common_peg_json_string_parser>) {
+                          std::is_same_v<T, common_peg_string_parser>) {
                 // These parsers do not have any children
             } else if constexpr (std::is_same_v<T, common_peg_sequence_parser>) {
                 for (auto child : p.children) {
@@ -1344,8 +1654,9 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
                     return result + "{" + std::to_string(p.min_count) + "}";
                 }
                 return result + "{" + std::to_string(p.min_count) + "," + std::to_string(p.max_count) + "}";
-            } else if constexpr (std::is_same_v<T, common_peg_json_string_parser>) {
-                return R"(( [^"\\] | "\\" ( ["\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)";
+            } else if constexpr (std::is_same_v<T, common_peg_string_parser>) {
+                const std::string delim(1, p.delimiter);
+                return R"(( [^)" + delim + R"(\\] | "\\" ( [)" + delim + R"(\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)";
             } else if constexpr (std::is_same_v<T, common_peg_until_parser>) {
                 if (p.delimiters.empty()) {
                     return ".*";
@@ -1475,8 +1786,8 @@ static nlohmann::json serialize_parser_variant(const common_peg_parser_variant &
                 {"min_count", p.min_count},
                 {"max_count", p.max_count}
             };
-        } else if constexpr (std::is_same_v<T, common_peg_json_string_parser>) {
-            return json{{"type", "json_string"}};
+        } else if constexpr (std::is_same_v<T, common_peg_string_parser>) {
+            return json{{"type", "string"}, {"delimiter", std::string(1, p.delimiter)}};
         } else if constexpr (std::is_same_v<T, common_peg_until_parser>) {
             return json{{"type", "until"}, {"delimiters", p.delimiters}};
         } else if constexpr (std::is_same_v<T, common_peg_schema_parser>) {
@@ -1603,8 +1914,15 @@ static common_peg_parser_variant deserialize_parser_variant(const nlohmann::json
         }
         return parser;
     }
-    if (type == "json_string") {
-        return common_peg_json_string_parser{};
+    if (type == "string") {
+        if (!j.contains("delimiter")) {
+            throw std::runtime_error("string parser missing delimiter field.");
+        }
+        std::string delimiter = j["delimiter"];
+        if (delimiter.empty()) {
+            throw std::runtime_error("string parser delimiter is empty.");
+        }
+        return common_peg_string_parser{delimiter[0]};
     }
     if (type == "until") {
         if (!j.contains("delimiters") || !j["delimiters"].is_array()) {
diff --git a/common/peg-parser.h b/common/peg-parser.h
index 1cd640365f2..31cdf9ec2de 100644
--- a/common/peg-parser.h
+++ b/common/peg-parser.h
@@ -4,6 +4,7 @@
 
 #include <memory>
 #include <unordered_map>
+#include <unordered_set>
 #include <string>
 #include <string_view>
 #include <functional>
@@ -111,6 +112,8 @@ class common_peg_ast_arena {
 
     void visit(common_peg_ast_id id, const common_peg_ast_visitor & visitor) const;
     void visit(const common_peg_parse_result & result, const common_peg_ast_visitor & visitor) const;
+
+    std::string dump();
 };
 
 struct common_peg_parse_result {
@@ -136,21 +139,43 @@ struct common_peg_parse_result {
     bool success() const { return type == COMMON_PEG_PARSE_RESULT_SUCCESS; }
 };
 
+enum common_peg_parse_flags {
+    COMMON_PEG_PARSE_FLAG_NONE    = 0,
+    COMMON_PEG_PARSE_FLAG_LENIENT = 1 << 0,
+    COMMON_PEG_PARSE_FLAG_DEBUG   = 1 << 1,
+};
+
+inline common_peg_parse_flags operator|(common_peg_parse_flags a, common_peg_parse_flags b) {
+    return static_cast<common_peg_parse_flags>(int(a) | int(b));
+}
+
+inline common_peg_parse_flags & operator|=(common_peg_parse_flags & a, common_peg_parse_flags b) {
+    return a = a | b;
+}
+
+inline common_peg_parse_flags operator&(common_peg_parse_flags a, common_peg_parse_flags b) {
+    return static_cast<common_peg_parse_flags>(int(a) & int(b));
+}
+
+inline common_peg_parse_flags operator~(common_peg_parse_flags a) {
+    return static_cast<common_peg_parse_flags>(~int(a));
+}
+
 struct common_peg_parse_context {
     std::string input;
-    bool is_partial;
+    common_peg_parse_flags flags;
     common_peg_ast_arena ast;
 
     int parse_depth;
 
-    common_peg_parse_context()
-        : is_partial(false), parse_depth(0) {}
+    common_peg_parse_context(common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE)
+        : flags(flags), parse_depth(0) {}
 
-    common_peg_parse_context(const std::string & input)
-        : input(input), is_partial(false), parse_depth(0) {}
+    common_peg_parse_context(const std::string & input, common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE)
+        : input(input), flags(flags), parse_depth(0) {}
 
-    common_peg_parse_context(const std::string & input, bool is_partial)
-        : input(input), is_partial(is_partial), parse_depth(0) {}
+    bool is_lenient() const { return flags & COMMON_PEG_PARSE_FLAG_LENIENT; }
+    bool is_debug() const { return flags & COMMON_PEG_PARSE_FLAG_DEBUG; }
 };
 
 class common_peg_arena;
@@ -206,7 +231,9 @@ struct common_peg_chars_parser {
     int max_count;  // -1 for unbounded
 };
 
-struct common_peg_json_string_parser {};
+struct common_peg_string_parser {
+    char delimiter;
+};
 
 struct common_peg_until_parser {
     std::vector<std::string> delimiters;
@@ -254,7 +281,7 @@ using common_peg_parser_variant = std::variant<
     common_peg_any_parser,
     common_peg_space_parser,
     common_peg_chars_parser,
-    common_peg_json_string_parser,
+    common_peg_string_parser,
     common_peg_until_parser,
     common_peg_schema_parser,
     common_peg_rule_parser,
@@ -299,6 +326,8 @@ class common_peg_arena {
     friend class common_peg_parser_builder;
 
   private:
+    std::string dump_impl(common_peg_parser_id id, std::unordered_set<common_peg_parser_id> & visited) const;
+
     common_peg_parser_id add_parser(common_peg_parser_variant parser);
     void add_rule(const std::string & name, common_peg_parser_id id);
 
@@ -404,6 +433,18 @@ class common_peg_parser_builder {
     //   S -> A{n}
     common_peg_parser repeat(const common_peg_parser & p, int n) { return repeat(p, n, n); }
 
+    // Matches a double-quoted string: '"' content '"' space
+    common_peg_parser double_quoted_string();
+
+    // Matches a single-quoted string: "'" content "'" space
+    common_peg_parser single_quoted_string();
+
+    // Matches a string that accepts both double-quoted and single-quoted styles.
+    common_peg_parser quoted_string();
+
+    // Matches string content without the surrounding delimiter.
+    common_peg_parser string_content(char delimiter);
+
     // Creates a complete JSON parser supporting objects, arrays, strings, numbers, booleans, and null.
     //   value -> object | array | string | number | true | false | null
     common_peg_parser json();
@@ -414,14 +455,24 @@ class common_peg_parser_builder {
     common_peg_parser json_bool();
     common_peg_parser json_null();
 
-    // Matches JSON string content without the surrounding quotes.
-    // Useful for extracting content within a JSON string.
-    common_peg_parser json_string_content();
-
     // Matches a JSON object member with a key and associated parser as the
     // value.
     common_peg_parser json_member(const std::string & key, const common_peg_parser & p);
 
+    // Creates a complete Python format parser supporting dicts, arrays, strings, numbers, booleans, and None.
+    // Differs from JSON: uses True/False/None, accepts both single and double-quoted strings.
+    //   value -> dict | array | string | number | True | False | None
+    common_peg_parser python_value();
+    common_peg_parser python_dict();
+    common_peg_parser python_string();
+    common_peg_parser python_array();
+    common_peg_parser python_number();
+    common_peg_parser python_bool();
+    common_peg_parser python_null();
+
+    // A marker, i.e. text delimited by a pair of <> or []
+    common_peg_parser marker();
+
     // Wraps a parser with JSON schema metadata for grammar generation.
     // Used internally to convert JSON schemas to GBNF grammar rules.
     common_peg_parser schema(const common_peg_parser & p, const std::string & name, const nlohmann::ordered_json & schema, bool raw = false);
diff --git a/common/reasoning-budget.cpp b/common/reasoning-budget.cpp
new file mode 100644
index 00000000000..a55e4f509d4
--- /dev/null
+++ b/common/reasoning-budget.cpp
@@ -0,0 +1,219 @@
+#include "reasoning-budget.h"
+#include "common.h"
+#include "unicode.h"
+
+#include "log.h"
+
+#include <cmath>
+#include <cstdint>
+#include <string>
+#include <vector>
+
+struct token_matcher {
+    std::vector<llama_token> tokens;
+    size_t pos = 0;
+
+    bool advance(llama_token token) {
+        if (tokens.empty()) {
+            return false;
+        }
+
+        if (token == tokens[pos]) {
+            pos++;
+            if (pos >= tokens.size()) {
+                pos = 0;
+                return true;
+            }
+        } else {
+            pos = 0;
+            if (token == tokens[0]) {
+                pos = 1;
+            }
+        }
+        return false;
+    }
+
+    void reset() { pos = 0; }
+};
+
+struct common_reasoning_budget_ctx {
+    const llama_vocab * vocab;
+
+    token_matcher start_matcher;
+    token_matcher end_matcher;
+    std::vector<llama_token> forced_tokens;
+
+    int32_t budget;           // maximum tokens in reasoning block
+    int32_t remaining;        // tokens remaining in budget
+
+    common_reasoning_budget_state state;
+
+    // for forcing
+    size_t force_pos;         // next position in forced_tokens to force
+};
+
+static const char * common_reasoning_budget_name(const struct llama_sampler * /*smpl*/) {
+    return "reasoning-budget";
+}
+
+static void common_reasoning_budget_accept(struct llama_sampler * smpl, llama_token token) {
+    auto * ctx = (common_reasoning_budget_ctx *) smpl->ctx;
+
+    switch (ctx->state) {
+        case REASONING_BUDGET_IDLE:
+        {
+            if (ctx->start_matcher.advance(token)) {
+                ctx->state = REASONING_BUDGET_COUNTING;
+                ctx->remaining = ctx->budget;
+                LOG_INF("reasoning-budget: activated, budget=%d tokens\n", ctx->budget);
+
+                if (ctx->remaining <= 0) {
+                    ctx->state = REASONING_BUDGET_FORCING;
+                    ctx->force_pos = 0;
+                    LOG_INF("reasoning-budget: budget=0, forcing immediately\n");
+                }
+            }
+            break;
+        }
+        case REASONING_BUDGET_COUNTING:
+        case REASONING_BUDGET_WAITING_UTF8:
+        {
+            if (ctx->end_matcher.advance(token)) {
+                ctx->state = REASONING_BUDGET_DONE;
+                LOG_INF("reasoning-budget: deactivated (natural end)\n");
+                break;
+            }
+
+            bool utf8_complete = true;
+            if (ctx->vocab != nullptr) {
+                const std::string piece = common_token_to_piece(ctx->vocab, token, false);
+                utf8_complete = common_utf8_is_complete(piece);
+            }
+
+            if (ctx->state == REASONING_BUDGET_WAITING_UTF8) {
+                if (utf8_complete) {
+                    ctx->state = REASONING_BUDGET_FORCING;
+                    ctx->force_pos = 0;
+                    ctx->end_matcher.reset();
+                    LOG_INF("reasoning-budget: UTF-8 complete, now forcing end sequence\n");
+                }
+            } else if (ctx->state == REASONING_BUDGET_COUNTING) {
+                ctx->remaining--;
+                if (ctx->remaining <= 0) {
+                    if (utf8_complete) {
+                        ctx->state = REASONING_BUDGET_FORCING;
+                        ctx->force_pos = 0;
+                        ctx->end_matcher.reset();
+                        LOG_INF("reasoning-budget: budget exhausted, forcing end sequence\n");
+                    } else {
+                        ctx->state = REASONING_BUDGET_WAITING_UTF8;
+                        ctx->end_matcher.reset();
+                        LOG_INF("reasoning-budget: budget exhausted, waiting for UTF-8 completion\n");
+                    }
+                }
+            }
+            break;
+        }
+        case REASONING_BUDGET_FORCING:
+            // force_pos is advanced in apply(), not here.
+            // This ensures the first forced token isn't skipped when the sampler
+            // is initialized directly in FORCING state (e.g. COUNTING + budget=0)
+            break;
+        case REASONING_BUDGET_DONE:
+            break;
+    }
+}
+
+static void common_reasoning_budget_apply(struct llama_sampler * smpl, llama_token_data_array * cur_p) {
+    auto * ctx = (common_reasoning_budget_ctx *) smpl->ctx;
+
+    if (ctx->state != REASONING_BUDGET_FORCING) {
+        // passthrough — don't modify logits
+        return;
+    }
+
+    if (ctx->force_pos >= ctx->forced_tokens.size()) {
+        return;
+    }
+
+    const llama_token forced = ctx->forced_tokens[ctx->force_pos];
+
+    // set all logits to -inf except the forced token
+    for (size_t i = 0; i < cur_p->size; i++) {
+        if (cur_p->data[i].id != forced) {
+            cur_p->data[i].logit = -INFINITY;
+        }
+    }
+
+    // advance to next forced token (done here rather than in accept so that
+    // the first forced token isn't skipped when starting in FORCING state)
+    ctx->force_pos++;
+    if (ctx->force_pos >= ctx->forced_tokens.size()) {
+        ctx->state = REASONING_BUDGET_DONE;
+        LOG_INF("reasoning-budget: forced sequence complete, done\n");
+    }
+}
+
+static void common_reasoning_budget_reset(struct llama_sampler * smpl) {
+    auto * ctx = (common_reasoning_budget_ctx *) smpl->ctx;
+    ctx->state = REASONING_BUDGET_IDLE;
+    ctx->remaining = ctx->budget;
+    ctx->start_matcher.reset();
+    ctx->end_matcher.reset();
+    ctx->force_pos = 0;
+}
+
+static struct llama_sampler * common_reasoning_budget_clone(const struct llama_sampler * smpl) {
+    const auto * ctx = (const common_reasoning_budget_ctx *) smpl->ctx;
+    return common_reasoning_budget_init(
+        ctx->vocab,
+        ctx->start_matcher.tokens,
+        ctx->end_matcher.tokens,
+        ctx->forced_tokens,
+        ctx->budget,
+        ctx->state);
+}
+
+static void common_reasoning_budget_free(struct llama_sampler * smpl) {
+    delete (common_reasoning_budget_ctx *) smpl->ctx;
+}
+
+static struct llama_sampler_i common_reasoning_budget_i = {
+    /* .name              = */ common_reasoning_budget_name,
+    /* .accept            = */ common_reasoning_budget_accept,
+    /* .apply             = */ common_reasoning_budget_apply,
+    /* .reset             = */ common_reasoning_budget_reset,
+    /* .clone             = */ common_reasoning_budget_clone,
+    /* .free              = */ common_reasoning_budget_free,
+    /* .backend_init      = */ nullptr,
+    /* .backend_accept    = */ nullptr,
+    /* .backend_apply     = */ nullptr,
+    /* .backend_set_input = */ nullptr,
+};
+
+struct llama_sampler * common_reasoning_budget_init(
+        const struct llama_vocab       * vocab,
+        const std::vector<llama_token> & start_tokens,
+        const std::vector<llama_token> & end_tokens,
+        const std::vector<llama_token> & forced_tokens,
+        int32_t                          budget,
+        common_reasoning_budget_state    initial_state) {
+    // promote COUNTING with budget <= 0 to FORCING
+    if (initial_state == REASONING_BUDGET_COUNTING && budget <= 0) {
+        initial_state = REASONING_BUDGET_FORCING;
+    }
+
+    return llama_sampler_init(
+        /* .iface = */ &common_reasoning_budget_i,
+        /* .ctx   = */ new common_reasoning_budget_ctx {
+            /* .vocab         = */ vocab,
+            /* .start_matcher = */ { start_tokens, 0 },
+            /* .end_matcher   = */ { end_tokens, 0 },
+            /* .forced_tokens = */ forced_tokens,
+            /* .budget        = */ budget,
+            /* .remaining     = */ budget,
+            /* .state         = */ initial_state,
+            /* .force_pos     = */ 0,
+        }
+    );
+}
diff --git a/common/reasoning-budget.h b/common/reasoning-budget.h
new file mode 100644
index 00000000000..08ad2824811
--- /dev/null
+++ b/common/reasoning-budget.h
@@ -0,0 +1,41 @@
+#pragma once
+
+#include "llama.h"
+
+#include <cstdint>
+#include <vector>
+
+enum common_reasoning_budget_state {
+    REASONING_BUDGET_IDLE,         // waiting for start sequence
+    REASONING_BUDGET_COUNTING,     // counting down tokens
+    REASONING_BUDGET_FORCING,      // forcing budget message + end sequence
+    REASONING_BUDGET_WAITING_UTF8, // budget exhausted, waiting for UTF-8 completion
+    REASONING_BUDGET_DONE,         // passthrough forever
+};
+
+// Creates a reasoning budget sampler that limits token generation inside a
+// reasoning block (e.g. between <think> and </think>).
+//
+// State machine: IDLE -> COUNTING -> WAITING_UTF8 -> FORCING -> DONE
+//   IDLE:         passthrough, watching for start_tokens sequence
+//   COUNTING:     counting down remaining tokens, watching for natural end_tokens
+//   WAITING_UTF8: budget exhausted, allowing tokens to complete a UTF-8 sequence
+//   FORCING:      forces forced_tokens token-by-token (all other logits -> -inf)
+//   DONE:         passthrough forever
+//
+// Parameters:
+//   vocab         - vocabulary (used for UTF-8 boundary detection; can be nullptr)
+//   start_tokens  - token sequence that activates counting
+//   end_tokens    - token sequence for natural deactivation
+//   forced_tokens - token sequence forced when budget expires
+//   budget        - max tokens allowed in the reasoning block
+//   initial_state - initial state of the sampler (e.g. IDLE or COUNTING)
+//                   note: COUNTING with budget <= 0 is promoted to FORCING
+//
+struct llama_sampler * common_reasoning_budget_init(
+        const struct llama_vocab       * vocab,
+        const std::vector<llama_token> & start_tokens,
+        const std::vector<llama_token> & end_tokens,
+        const std::vector<llama_token> & forced_tokens,
+        int32_t                          budget,
+        common_reasoning_budget_state    initial_state);
diff --git a/common/sampling.cpp b/common/sampling.cpp
index 11a1d483980..f849d4f61af 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -2,6 +2,7 @@
 
 #include "common.h"
 #include "log.h"
+#include "reasoning-budget.h"
 
 #include <algorithm>
 #include <cmath>
@@ -250,6 +251,17 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
         }
     }
 
+    // reasoning budget sampler — added first so it can force tokens before other samplers
+    if (params.reasoning_budget_tokens >= 0 && !params.reasoning_budget_forced.empty()) {
+        samplers.push_back(common_reasoning_budget_init(
+            vocab,
+            params.reasoning_budget_start,
+            params.reasoning_budget_end,
+            params.reasoning_budget_forced,
+            params.reasoning_budget_tokens,
+            params.reasoning_budget_activate_immediately ? REASONING_BUDGET_COUNTING : REASONING_BUDGET_IDLE));
+    }
+
     if (params.has_logit_bias()) {
         samplers.push_back(llama_sampler_init_logit_bias(llama_vocab_n_tokens(vocab), params.logit_bias.size(), params.logit_bias.data()));
     }
diff --git a/common/unicode.cpp b/common/unicode.cpp
index 56ab0f468e0..f71fe56783f 100644
--- a/common/unicode.cpp
+++ b/common/unicode.cpp
@@ -1,14 +1,20 @@
 #include "unicode.h"
 
+#include <algorithm>
+#include <cassert>
+#include <stdexcept>
+#include <string>
+#include <vector>
+
 // implementation adopted from src/unicode.cpp
 
-size_t utf8_sequence_length(unsigned char first_byte) {
+size_t common_utf8_sequence_length(unsigned char first_byte) {
     const size_t lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
     uint8_t highbits = static_cast<uint8_t>(first_byte) >> 4;
     return lookup[highbits];
 }
 
-utf8_parse_result parse_utf8_codepoint(std::string_view input, size_t offset) {
+utf8_parse_result common_parse_utf8_codepoint(std::string_view input, size_t offset) {
     if (offset >= input.size()) {
         return utf8_parse_result(utf8_parse_result::INCOMPLETE);
     }
@@ -62,3 +68,57 @@ utf8_parse_result parse_utf8_codepoint(std::string_view input, size_t offset) {
     // Invalid first byte
     return utf8_parse_result(utf8_parse_result::INVALID);
 }
+
+bool common_utf8_is_complete(const std::string & s) {
+    if (s.empty()) {
+        return true;
+    }
+    for (int i = 1; i <= std::min(4, (int)s.size()); i++) {
+        unsigned char c = s[s.size() - i];
+        if ((c & 0xC0) != 0x80) {
+            int expected = (c >= 0xF0) ? 4 : (c >= 0xE0) ? 3 : (c >= 0xC0) ? 2 : 1;
+            return i >= expected;
+        }
+    }
+    return false;
+}
+
+std::string common_unicode_cpts_to_utf8(const std::vector<uint32_t> & cps) {
+    std::string result;
+    for (size_t i = 0; i < cps.size(); ++i) {
+        result.append(common_unicode_cpt_to_utf8(cps[i]));
+    }
+    return result;
+}
+
+std::string common_unicode_cpt_to_utf8(uint32_t cpt) {
+    std::string result;
+
+    if (/* 0x00 <= cpt && */ cpt <= 0x7f) {
+        result.push_back(cpt);
+        return result;
+    }
+    if (0x80 <= cpt && cpt <= 0x7ff) {
+        result.push_back(0xc0 | ((cpt >> 6) & 0x1f));
+        result.push_back(0x80 | (cpt & 0x3f));
+        return result;
+    }
+    if (0x800 <= cpt && cpt <= 0xffff) {
+        result.push_back(0xe0 | ((cpt >> 12) & 0x0f));
+        result.push_back(0x80 | ((cpt >> 6) & 0x3f));
+        result.push_back(0x80 | (cpt & 0x3f));
+        return result;
+    }
+    if (0x10000 <= cpt && cpt <= 0x10ffff) {
+        result.push_back(0xf0 | ((cpt >> 18) & 0x07));
+        result.push_back(0x80 | ((cpt >> 12) & 0x3f));
+        result.push_back(0x80 | ((cpt >> 6) & 0x3f));
+        result.push_back(0x80 | (cpt & 0x3f));
+        return result;
+    }
+
+    throw std::invalid_argument("invalid codepoint");
+}
+
+
+
diff --git a/common/unicode.h b/common/unicode.h
index 9d9e8e1227a..9b32fa19d62 100644
--- a/common/unicode.h
+++ b/common/unicode.h
@@ -2,6 +2,8 @@
 
 #include <cstdint>
 #include <string_view>
+#include <vector>
+#include <string>
 
 // UTF-8 parsing utilities for streaming-aware unicode support
 
@@ -16,7 +18,13 @@ struct utf8_parse_result {
 
 // Determine the expected length of a UTF-8 sequence from its first byte
 // Returns 0 for invalid first bytes
-size_t utf8_sequence_length(unsigned char first_byte);
+size_t common_utf8_sequence_length(unsigned char first_byte);
+
+// Check if a string ends with a complete UTF-8 sequence.
+bool common_utf8_is_complete(const std::string & s);
 
 // Parse a single UTF-8 codepoint from input
-utf8_parse_result parse_utf8_codepoint(std::string_view input, size_t offset);
+utf8_parse_result common_parse_utf8_codepoint(std::string_view input, size_t offset);
+
+std::string common_unicode_cpts_to_utf8(const std::vector<uint32_t> & cps);
+std::string common_unicode_cpt_to_utf8(uint32_t cpt);
diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py
index 2afaf85fb88..eec0ea14e3a 100755
--- a/convert_hf_to_gguf.py
+++ b/convert_hf_to_gguf.py
@@ -116,7 +116,8 @@ def __init__(self, dir_model: Path, ftype: gguf.LlamaFileType, fname_out: Path,
                  split_max_tensors: int = 0, split_max_size: int = 0, dry_run: bool = False,
                  small_first_shard: bool = False, hparams: dict[str, Any] | None = None, remote_hf_model_id: str | None = None,
                  disable_mistral_community_chat_template: bool = False,
-                 sentence_transformers_dense_modules: bool = False):
+                 sentence_transformers_dense_modules: bool = False,
+                 fuse_gate_up_exps: bool = False):
         if type(self) is ModelBase or \
                 type(self) is TextModel or \
                 type(self) is MmprojModel:
@@ -135,11 +136,15 @@ def __init__(self, dir_model: Path, ftype: gguf.LlamaFileType, fname_out: Path,
         self.dry_run = dry_run
         self.remote_hf_model_id = remote_hf_model_id
         self.sentence_transformers_dense_modules = sentence_transformers_dense_modules
+        self.fuse_gate_up_exps = fuse_gate_up_exps
+        self._gate_exp_buffer: dict[int, Tensor] = {}
+        self._up_exp_buffer: dict[int, Tensor] = {}
         self.hparams = ModelBase.load_hparams(self.dir_model, self.is_mistral_format) if hparams is None else hparams
         self.model_tensors = self.index_tensors(remote_hf_model_id=remote_hf_model_id)
         self.metadata_override = metadata_override
         self.model_name = model_name
         self.dir_model_card = dir_model  # overridden in convert_lora_to_gguf.py
+        self._is_nvfp4 = False
 
         # Apply heuristics to figure out typical tensor encoding based on first tensor's dtype
         # NOTE: can't use field "torch_dtype" in config.json, because some finetunes lie.
@@ -267,6 +272,9 @@ def index_tensors(self, remote_hf_model_id: str | None = None) -> dict[str, Call
         return tensors
 
     def dequant_model(self):
+        if self._is_nvfp4:
+            return  # NVFP4 weights are repacked in _generate_nvfp4_tensors
+
         tensors_to_remove: list[str] = []
         new_tensors: dict[str, Callable[[], Tensor]] = {}
 
@@ -512,8 +520,38 @@ def set_gguf_parameters(self):
         raise NotImplementedError("set_gguf_parameters() must be implemented in subclasses")
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        del bid # unused
-        return [(self.map_tensor_name(name), data_torch)]
+        # skip NVFP4 auxiliary tensors (handled in _generate_nvfp4_tensors)
+        if self._is_nvfp4:
+            if name.endswith((".weight_scale", ".weight_scale_2", ".input_scale", ".k_scale", ".v_scale")):
+                return []
+            if name.endswith(".weight") and name.replace(".weight", ".weight_scale") in self.model_tensors:
+                return []
+
+        new_name = self.map_tensor_name(name)
+
+        # Handle gate/up expert tensor fusion if enabled
+        if self.fuse_gate_up_exps and bid is not None:
+            if self.match_model_tensor_name(new_name, gguf.MODEL_TENSOR.FFN_GATE_EXP, bid):
+                self._gate_exp_buffer[bid] = data_torch
+            elif self.match_model_tensor_name(new_name, gguf.MODEL_TENSOR.FFN_UP_EXP, bid):
+                self._up_exp_buffer[bid] = data_torch
+
+            # Check if both gate and up are buffered for this layer
+            if bid in self._gate_exp_buffer and bid in self._up_exp_buffer:
+                gate_data = self._gate_exp_buffer.pop(bid)
+                up_data = self._up_exp_buffer.pop(bid)
+                # gate/up shape: (n_expert, n_ff, n_embd), concatenate to (n_expert, n_ff*2, n_embd)
+                fused_data = torch.cat([gate_data, up_data], dim=1)
+                fused_name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_GATE_UP_EXP, bid)
+                logger.info(f"Fused gate_exps and up_exps for layer {bid}")
+                return [(fused_name, fused_data)]
+
+            # If we buffered a gate/up tensor, wait for the other
+            if self.match_model_tensor_name(new_name, gguf.MODEL_TENSOR.FFN_GATE_EXP, bid) or \
+               self.match_model_tensor_name(new_name, gguf.MODEL_TENSOR.FFN_UP_EXP, bid):
+                return []
+
+        return [(new_name, data_torch)]
 
     def tensor_force_quant(self, name: str, new_name: str, bid: int | None, n_dims: int) -> gguf.GGMLQuantizationType | bool:
         del name, new_name, bid, n_dims  # unused
@@ -524,9 +562,135 @@ def tensor_force_quant(self, name: str, new_name: str, bid: int | None, n_dims:
     def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
         return ()
 
+    @staticmethod
+    def _nvfp4_pack(weight: Tensor, scale: Tensor) -> tuple[np.ndarray, list[int]]:
+        """Repack NVFP4 ModelOpt tensors into ggml super-block layout.
+        Preserves original E4M3 scale bits as UE4M3 (strip sign bit).
+        The per-tensor scale2 factor is stored as a separate tensor and applied at inference time via ggml_mul().
+        Returns (raw_data, logical_shape)."""
+
+        out_features = weight.shape[0]
+        n_blocks = scale.shape[1]
+
+        # Unpack ModelOpt nibble-packed weights
+        w = weight.reshape(out_features, n_blocks, 8)
+        vals = torch.stack([w & 0x0F, w >> 4], dim=-1).reshape(out_features, n_blocks, 16)
+
+        # Preserve original E4M3 scale bits as UE4M3 (strip sign bit)
+        d_ue = scale.view(torch.uint8).numpy().reshape(out_features, n_blocks) & 0x7F
+        qs = (vals[:, :, :8] | (vals[:, :, 8:] << 4)).to(torch.uint8).numpy()
+
+        # Pack into super-blocks: [4 UE4M3 scales, 32 qs bytes] = 36 bytes per 64 elements
+        n_super = n_blocks // 4
+        d_grouped = d_ue.reshape(out_features, n_super, 4)
+        qs_grouped = qs.reshape(out_features, n_super, 4, 8).reshape(out_features, n_super, 32)
+        raw = np.concatenate([d_grouped, qs_grouped], axis=-1).reshape(out_features, n_super * 36)
+        return raw, [out_features, n_super * 64]
+
+    @staticmethod
+    def _nvfp4_scale2_is_trivial(scale2: Tensor) -> bool:
+        return scale2.numel() <= 1 and abs(float(scale2.float().sum()) - 1.0) < 1e-6
+
+    def _repack_nvfp4(self, new_name: str, weight: Tensor, scale: Tensor, scale2: Tensor):
+        raw, shape = self._nvfp4_pack(weight, scale)
+        logger.info(f"Repacked {new_name} with shape {shape} and quantization NVFP4")
+        self.gguf_writer.add_tensor(new_name, raw, raw_dtype=gguf.GGMLQuantizationType.NVFP4)
+
+        # Emit per-tensor scale2 as a separate F32 tensor when non-trivial
+        if not self._nvfp4_scale2_is_trivial(scale2):
+            scale2_f32 = scale2.float().numpy().flatten()
+            scale_name = new_name.replace(".weight", ".scale")
+            logger.info(f"  + {scale_name} (per-tensor NVFP4 scale2, shape [{scale2_f32.size}])")
+            self.gguf_writer.add_tensor(scale_name, scale2_f32)
+
+    def _generate_nvfp4_tensors(self):
+        # Per-layer expert merging to avoid holding all experts in memory
+        expert_blocks: dict[tuple[int, str], list[tuple[int, np.ndarray]]] = {}
+        expert_scales: dict[tuple[int, str], list[tuple[int, float]]] = {}
+        expert_shapes: dict[tuple[int, str], list[int]] = {}
+        n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=True) or 0
+
+        for name in list(self.model_tensors.keys()):
+            if not name.endswith(".weight"):
+                continue
+            scale_name = name.replace(".weight", ".weight_scale")
+            scale2_name = name.replace(".weight", ".weight_scale_2")
+            if scale_name not in self.model_tensors:
+                continue
+            # Force eager materialization of lazy tensors
+            weight = LazyTorchTensor.to_eager(self.model_tensors[name]())
+            scale = LazyTorchTensor.to_eager(self.model_tensors[scale_name]())
+            scale2 = LazyTorchTensor.to_eager(self.model_tensors.get(scale2_name, lambda: torch.tensor(1.0))())
+
+            # Check if this is a per-expert tensor
+            m = re.search(r'\.experts\.(\d+)\.(gate_proj|up_proj|down_proj)\.weight$', name)
+            if m:
+                expert_id = int(m.group(1))
+                proj_type = m.group(2)
+                bid_m = re.search(r'\.layers\.(\d+)\.', name)
+                bid = int(bid_m.group(1)) if bid_m else 0
+                key = (bid, proj_type)
+
+                raw, shape = self._nvfp4_pack(weight, scale)
+
+                if key not in expert_blocks:
+                    expert_blocks[key] = []
+                    expert_scales[key] = []
+                    expert_shapes[key] = shape
+                expert_blocks[key].append((expert_id, raw.copy()))
+                # Collect per-expert scale2 (scalar per expert)
+                expert_scales[key].append((expert_id, float(scale2.float().sum())))
+
+                # Flush when all experts for this (layer, proj) are collected
+                if n_experts > 0 and len(expert_blocks[key]) >= n_experts:
+                    self._flush_nvfp4_experts(key, expert_blocks, expert_scales, expert_shapes, bid, proj_type)
+            else:
+                new_name = self.map_tensor_name(name)
+                self._repack_nvfp4(new_name, weight, scale, scale2)
+
+        # Flush any remaining experts (fallback if n_experts was unknown)
+        for (bid, proj_type) in list(expert_blocks.keys()):
+            self._flush_nvfp4_experts((bid, proj_type), expert_blocks, expert_scales, expert_shapes, bid, proj_type)
+
+    def _flush_nvfp4_experts(self, key, expert_blocks, expert_scales, expert_shapes, bid, proj_type):
+        experts = expert_blocks.pop(key)
+        scales = expert_scales.pop(key)
+        shape = expert_shapes.pop(key)
+
+        experts.sort(key=lambda x: x[0])
+        merged = np.stack([e[1] for e in experts], axis=0)
+        merged_name = f"model.layers.{bid}.mlp.experts.{proj_type}.weight"
+        new_name = self.map_tensor_name(merged_name)
+        logger.info(f"Repacked {new_name} with shape [{len(experts)}, {shape[0]}, {shape[1]}] and quantization NVFP4")
+        self.gguf_writer.add_tensor(new_name, merged, raw_dtype=gguf.GGMLQuantizationType.NVFP4)
+
+        # Emit per-expert scale2 tensor if any expert has non-trivial scale2
+        scales.sort(key=lambda x: x[0])
+        scale_vals = np.array([s[1] for s in scales], dtype=np.float32)
+        if not np.allclose(scale_vals, 1.0, atol=1e-6):
+            scale_name = new_name.replace(".weight", ".scale")
+            logger.info(f"  + {scale_name} (per-expert NVFP4 scale2, shape [{len(scales)}])")
+            self.gguf_writer.add_tensor(scale_name, scale_vals)
+
+        del experts, merged
+
     def prepare_tensors(self):
+        # detect NVFP4 quantization (ModelOpt format)
+        quant_algo = (self.hparams.get("quantization_config") or {}).get("quant_algo")
+        quant_config_file = self.dir_model / "hf_quant_config.json"
+
+        if not quant_algo and quant_config_file.is_file():
+            with open(quant_config_file, "r", encoding="utf-8") as f:
+                quant_algo = (json.load(f).get("quantization") or {}).get("quant_algo")
+
+        self._is_nvfp4 = quant_algo == "NVFP4"
+
         self.dequant_model()
 
+        # NVFP4 weights are repacked and written directly to gguf_writer
+        if self._is_nvfp4:
+            self._generate_nvfp4_tensors()
+
         # Handle empty tensor_map for models with block_count=0 (like MobileNetV5)
         if self.tensor_map.mapping:
             max_name_len = max(len(s) for _, s in self.tensor_map.mapping.values()) + len(".weight,")
@@ -570,6 +734,7 @@ def prepare_tensors(self):
                         self.match_model_tensor_name(new_name, key, bid)
                         for key in (
                             gguf.MODEL_TENSOR.FFN_GATE_INP,
+                            gguf.MODEL_TENSOR.FFN_GATE_INP_SHEXP,
                             gguf.MODEL_TENSOR.POS_EMBD,
                             gguf.MODEL_TENSOR.TOKEN_TYPES,
                             gguf.MODEL_TENSOR.SSM_CONV1D,
@@ -1048,6 +1213,9 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "9ca2dd618e8afaf09731a7cf6e2105b373ba6a1821559f258b272fe83e6eb902":
             # ref: https://huggingface.co/zai-org/GLM-4.5-Air
             res = "glm4"
+        if chkhsh == "cdf5f35325780597efd76153d4d1c16778f766173908894c04afc20108536267":
+            # ref: https://huggingface.co/zai-org/GLM-4.7-Flash
+            res = "glm4"
         if chkhsh == "1431a23e583c97432bc230bff598d103ddb5a1f89960c8f1d1051aaa944d0b35":
             # ref: https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0
             res = "minerva-7b"
@@ -1081,9 +1249,6 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df":
             # ref: https://huggingface.co/aari1995/German_Semantic_V3
             res = "jina-v2-de"
-        if chkhsh == "cdf5f35325780597efd76153d4d1c16778f766173908894c04afc20108536267":
-            # ref: https://huggingface.co/zai-org/GLM-4.7-Flash
-            res = "glm4"
         if chkhsh == "0ef9807a4087ebef797fc749390439009c3b9eda9ad1a097abbe738f486c01e5":
             # ref: https://huggingface.co/meta-llama/Meta-Llama-3-8B
             res = "llama-bpe"
@@ -1123,6 +1288,9 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "9c2227e4dd922002fb81bde4fc02b0483ca4f12911410dee2255e4987644e3f8":
             # ref: https://huggingface.co/CohereForAI/c4ai-command-r-v01
             res = "command-r"
+        if chkhsh == "d772b220ace2baec124bed8cfafce0ead7d6c38a4b65ef11261cf9d5d62246d1":
+            # ref: https://huggingface.co/CohereLabs/tiny-aya-base
+            res = "tiny_aya"
         if chkhsh == "e636dc30a262dcc0d8c323492e32ae2b70728f4df7dfe9737d9f920a282b8aea":
             # ref: https://huggingface.co/Qwen/Qwen1.5-7B
             res = "qwen2"
@@ -1144,6 +1312,9 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "27949a2493fc4a9f53f5b9b029c82689cfbe5d3a1929bb25e043089e28466de6":
             # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-de
             res = "jina-v2-de"
+        if chkhsh == "a023e9fdc5a11f034d3ef515b92350e56fb2af1f66c6b6811a4444ea9bf8763d":
+            # ref: https://huggingface.co/jinaai/jina-embeddings-v5-text-nano
+            res = "jina-v5-nano"
         if chkhsh == "c136ed14d01c2745d4f60a9596ae66800e2b61fa45643e72436041855ad4089d":
             # ref: https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
             res = "smaug-bpe"
@@ -1159,6 +1330,9 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "b53802fb28e26d645c3a310b34bfe07da813026ec7c7716883404d5e0f8b1901":
             # ref: https://huggingface.co/core42/jais-13b
             res = "jais"
+        if chkhsh == "bc5108ee1eb6a3d600cadd065f63190fbd0554dbc9e4bbd6a0d977970afc8d2a":
+            # ref: https://huggingface.co/inceptionai/Jais-2-8B-Chat
+            res = "jais-2"
         if chkhsh == "7b3e7548e4308f52a76e8229e4e6cc831195d0d1df43aed21ac6c93da05fec5f":
             # ref: https://huggingface.co/WisdomShell/CodeShell-7B
             res = "codeshell"
@@ -1264,6 +1438,12 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "d30d75d9059f1aa2c19359de71047b3ae408c70875e8a3ccf8c5fba56c9d8af4":
             # ref: https://huggingface.co/Qwen/Qwen3.5-9B-Instruct
             res = "qwen35"
+        if chkhsh == "b4b8ca1f9769494fbd956ebc4c249de6131fb277a4a3345a7a92c7dd7a55808d":
+            # ref: https://huggingface.co/jdopensource/JoyAI-LLM-Flash
+            res = "joyai-llm"
+        if chkhsh == "e4d54df1ebc1f2b91acd986c5b51aa50837d5faf7c7398e73c1f9e9ee5d19869":
+            # ref: https://huggingface.co/kakaocorp/kanana-2-30b-a3b-instruct-2601
+            res = "kanana2"
 
         if res is None:
             logger.warning("\n")
@@ -1608,6 +1788,23 @@ def _set_vocab_glmedge(self):
         special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
         special_vocab.add_to_gguf(self.gguf_writer)
 
+    def _set_vocab_glm(self):
+        from transformers import AutoTokenizer
+        tokenizer = AutoTokenizer.from_pretrained(self.dir_model)
+        special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
+        tokens, toktypes, tokpre = self.get_vocab_base()
+        self.gguf_writer.add_tokenizer_model("gpt2")
+        self.gguf_writer.add_tokenizer_pre(tokpre)
+        self.gguf_writer.add_token_list(tokens)
+        self.gguf_writer.add_token_types(toktypes)
+        # Special tokens
+        # Note: Using <|endoftext|> (151329) for eot causes endless generation
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # 151331
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # 151336
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"]) # 151329
+        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # 151338
+        special_vocab.add_to_gguf(self.gguf_writer)
+
     def _set_vocab_interns1(self):
         tokens: list[str] = []
         toktypes: list[int] = []
@@ -1997,6 +2194,8 @@ def set_gguf_parameters(self):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
         n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
+        assert n_head is not None
+        assert n_embed is not None
 
         if re.match(r"gpt_neox\.layers\.\d+\.attention\.query_key_value\.weight", name):
             # Map bloom-style qkv_linear to gpt-style qkv_linear
@@ -2034,6 +2233,8 @@ class BloomModel(TextModel):
     def set_gguf_parameters(self):
         n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
         n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
+        assert n_head is not None
+        assert n_embed is not None
         self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed))
         self.gguf_writer.add_embedding_length(n_embed)
         self.gguf_writer.add_feed_forward_length(4 * n_embed)
@@ -2046,6 +2247,8 @@ def set_gguf_parameters(self):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
         n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
+        assert n_head is not None
+        assert n_embed is not None
 
         name = re.sub(r'transformer\.', '', name)
 
@@ -2708,8 +2911,6 @@ def set_gguf_parameters(self):
         super().set_gguf_parameters()
 
         # MoE parameters
-        if (n_experts := self.hparams.get("num_experts")) is not None:
-            self.gguf_writer.add_expert_count(n_experts)
         if (n_shared_experts := self.hparams.get("num_shared_experts")) is not None:
             self.gguf_writer.add_expert_shared_count(n_shared_experts)
         if (moe_intermediate_size := self.hparams.get("moe_intermediate_size")) is not None:
@@ -2731,7 +2932,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         # Handle expert weights - they're already merged in the HF format
         # process the experts separately
         if name.find("mlp.experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -3658,6 +3859,7 @@ def set_gguf_parameters(self):
 
         if (rope_dim := hparams.get("head_dim")) is None:
             n_heads = hparams.get("num_attention_heads", hparams.get("n_heads"))
+            assert n_heads is not None
             rope_dim = hparams.get("hidden_size", hparams.get("d_model")) // n_heads
         self.gguf_writer.add_rope_dimension_count(rope_dim)
 
@@ -3689,6 +3891,7 @@ def permute(weights: Tensor, n_head: int, n_head_kv: int | None):
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         n_head = self.hparams.get("num_attention_heads", self.hparams.get("n_heads"))
+        assert n_head is not None
         n_kv_head = self.hparams.get("num_key_value_heads", self.hparams.get("n_kv_heads"))
 
         if self.undo_permute:
@@ -3708,6 +3911,13 @@ class Ernie4_5Model(TextModel):
     def set_vocab(self):
         self._set_vocab_sentencepiece()
 
+        tokenizer_config_file = self.dir_model / 'tokenizer_config.json'
+        if tokenizer_config_file.is_file():
+            with open(tokenizer_config_file, "r", encoding="utf-8") as f:
+                tokenizer_config_json = json.load(f)
+                if "add_prefix_space" in tokenizer_config_json:
+                    self.gguf_writer.add_add_space_prefix(tokenizer_config_json["add_prefix_space"])
+
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
 
@@ -3717,6 +3927,10 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         if (head_dim := self.hparams.get("head_dim")) is None:
             head_dim = self.hparams["hidden_size"] // num_heads
 
+        if "mlp_AR" in name or "vision_model" in name:
+            # skip vision model and projector tensors
+            return
+
         if "ernie." in name:
             name = name.replace("ernie.", "model.")
         # split the qkv weights
@@ -3826,6 +4040,48 @@ def prepare_tensors(self):
                 raise ValueError(f"Unprocessed experts: {experts}")
 
 
+@ModelBase.register("PaddleOCRVLForConditionalGeneration")
+class PaddleOCRModel(Ernie4_5Model):
+    model_arch = gguf.MODEL_ARCH.PADDLEOCR
+
+
+@ModelBase.register("PaddleOCRVisionModel")
+class PaddleOCRVisionModel(MmprojModel):
+    # PaddleOCR-VL uses a modified version of Siglip
+    min_pixels: int = 0
+    max_pixels: int = 0
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+        self.min_pixels = self.preprocessor_config["min_pixels"]
+        self.max_pixels = self.preprocessor_config["max_pixels"]
+        self.hparams_vision["image_size"] = int(math.sqrt(self.max_pixels))
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        assert self.hparams_vision is not None
+        hparams = self.hparams_vision
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.PADDLEOCR)
+        self.gguf_writer.add_vision_max_pixels(self.max_pixels)
+        self.gguf_writer.add_vision_min_pixels(self.min_pixels)
+        self.gguf_writer.add_vision_use_gelu(True)
+        self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("rms_norm_eps", 1e-6))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        name = name.replace("visual.", "model.")
+
+        if "vision_model" in name or "mlp_AR" in name:
+            if "packing_position_embedding" in name:
+                return # unused
+            elif "vision_model.head" in name:
+                # we don't yet support image embeddings for this model
+                return
+            else:
+                yield from super().modify_tensors(data_torch, name, bid)
+        return # skip other tensors
+
+
 @ModelBase.register(
     "Qwen2VLModel",
     "Qwen2VLForConditionalGeneration",
@@ -3920,7 +4176,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 # split Conv3D into Conv2Ds
                 c1, c2, kt, kh, kw = data_torch.shape
                 del c1, c2, kh, kw  # unused
-                assert kt == 2, "Current implmentation only support temporal_patch_size of 2"
+                assert kt == 2, "Current implementation only support temporal_patch_size of 2"
                 yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight"  , data_torch[:, :, 0, ...])
                 yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight.1", data_torch[:, :, 1, ...])
             else:
@@ -4056,6 +4312,87 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register(
+    "NemotronH_Nano_VL_V2",
+    "RADIOModel",
+)
+class NemotronNanoV2VLModel(MmprojModel):
+    # ViT-Huge architecture parameters for RADIO v2.5-h
+    _vit_hidden_size = 1280
+    _vit_intermediate_size = 5120
+    _vit_num_layers = 32
+    _vit_num_heads = 16
+
+    def get_vision_config(self) -> dict[str, Any] | None:
+        # RADIO config doesn't have standard ViT parameters, so they need to be constructed manually
+        vision_config = self.global_config.get("vision_config")
+        if vision_config is None:
+            return None
+        # Add ViT-H parameters
+        vision_config = {
+            **vision_config,
+            "hidden_size": self._vit_hidden_size,
+            "intermediate_size": self._vit_intermediate_size,
+            "num_hidden_layers": self._vit_num_layers,
+            "num_attention_heads": self._vit_num_heads,
+            "image_size": self.global_config.get("force_image_size", 512),
+        }
+        return vision_config
+
+    def set_gguf_parameters(self):
+        if "image_mean" not in self.preprocessor_config:
+            self.preprocessor_config["image_mean"] = [0.485, 0.456, 0.406]
+        if "image_std" not in self.preprocessor_config:
+            self.preprocessor_config["image_std"] = [0.229, 0.224, 0.225]
+
+        super().set_gguf_parameters()
+        hparams = self.global_config
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.NEMOTRON_V2_VL)
+        self.gguf_writer.add_vision_attention_layernorm_eps(1e-6)
+        self.gguf_writer.add_vision_use_gelu(True)
+        downsample_ratio = hparams.get("downsample_ratio", 0.5)
+        self.gguf_writer.add_vision_projector_scale_factor(int(1.0 / downsample_ratio))
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        if ".position_embd." in new_name or "pos_embed" in new_name:
+            return gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "input_conditioner" in name:
+            return
+
+        # RADIO's pos_embed doesn't have .weight suffix, but clip.cpp expects it
+        if "patch_generator.pos_embed" in name:
+            if not name.endswith(".weight"):
+                name += ".weight"
+            # Downsample position embeddings for fixed 512x512 image size
+            import torch.nn.functional as F
+            n_embd = self.hparams["hidden_size"]
+            image_size = self.global_config.get("force_image_size", 512)
+            patch_size = self.hparams["patch_size"]
+            target_patches_per_side = image_size // patch_size  # 32
+            max_patches_per_side = int((data_torch.shape[1]) ** 0.5)  # 128
+            if target_patches_per_side != max_patches_per_side:
+                # Reshape to grid, interpolate, flatten back
+                data_torch = data_torch.reshape(1, max_patches_per_side, max_patches_per_side, n_embd)
+                data_torch = data_torch.permute(0, 3, 1, 2).float()  # [1, n_embd, 128, 128]
+                data_torch = F.interpolate(data_torch, size=(target_patches_per_side, target_patches_per_side),
+                                           mode='bilinear', align_corners=True)
+                data_torch = data_torch.permute(0, 2, 3, 1)  # [1, 32, 32, n_embd]
+                data_torch = data_torch.reshape(1, target_patches_per_side * target_patches_per_side, n_embd)
+
+        # Reshape linear patch embedding to conv2d format for ggml_conv_2d
+        # From [n_embd, patch_size*patch_size*3] to [n_embd, 3, patch_size, patch_size]
+        if "patch_generator.embedder" in name:
+            patch_size = self.hparams["patch_size"]
+            n_embd = self.hparams["hidden_size"]
+            data_torch = data_torch.reshape(n_embd, 3, patch_size, patch_size)
+
+        if name.startswith("vision_model.radio_model.model.") or name.startswith("mlp1."):
+            yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("WavTokenizerDec")
 class WavTokenizerDecModel(TextModel):
     model_arch = gguf.MODEL_ARCH.WAVTOKENIZER_DEC
@@ -4098,8 +4435,6 @@ class Qwen2MoeModel(TextModel):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        if (n_experts := self.hparams.get("num_experts")) is not None:
-            self.gguf_writer.add_expert_count(n_experts)
         if (moe_intermediate_size := self.hparams.get("moe_intermediate_size")) is not None:
             self.gguf_writer.add_expert_feed_forward_length(moe_intermediate_size)
             logger.info(f"gguf: expert feed forward length = {moe_intermediate_size}")
@@ -4113,6 +4448,14 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         # process the experts separately
         name = name.replace("language_model.", "") # InternVL
 
+        # NVFP4 expert weights are handled in _generate_nvfp4_tensors
+        if self._is_nvfp4 and "experts" in name:
+            if name.endswith((".weight", ".weight_scale", ".weight_scale_2", ".input_scale")):
+                if name.endswith(".weight") and name.replace(".weight", ".weight_scale") in self.model_tensors:
+                    return
+                if not name.endswith(".weight"):
+                    return
+
         # handle aggregated expert tensors
         # GGUF stores dimensions reversed from PyTorch, so:
         # PyTorch (A,B,C) -> GGUF writes [C,B,A] -> GGML reads ne={C,B,A}
@@ -4144,7 +4487,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             return
 
         if name.find("experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -4200,15 +4543,31 @@ def __init__(self, *args, **kwargs):
         hparams = ModelBase.load_hparams(self.dir_model, is_mistral_format=False)
         self.origin_hf_arch = hparams.get('architectures', [None])[0]
 
-        # a bit hacky, but currently the only way to detect if this is a rerank model
-        # ref: https://huggingface.co/Qwen/Qwen3-Reranker-0.6B
+        if self._is_qwen3_reranker():
+            self._find_rerank_config()
+
+    def _is_qwen3_reranker(self) -> bool:
         readme_path = self.dir_model / "README.md"
         readme_text = ""
         if readme_path.exists():
             with readme_path.open("r", encoding="utf-8") as f:
                 readme_text = f.read()
-        if "# Qwen3-Reranker" in readme_text:
-            self._find_rerank_config()
+
+        name_hints = [
+            str(self.dir_model.name),
+            str(self.hparams.get("_name_or_path", "")),
+            str(self.hparams.get("model_type", "")),
+            str(self.origin_hf_arch or ""),
+        ]
+        name_hints = [hint.lower() for hint in name_hints if hint]
+
+        if "# qwen3-reranker" in readme_text.lower() or "# qwen3-vl-reranker" in readme_text.lower():
+            return True
+
+        if any("qwen3-reranker" in hint or "qwen3-vl-reranker" in hint for hint in name_hints):
+            return True
+
+        return "sequenceclassification" in (self.origin_hf_arch or "").lower()
 
     def set_vocab(self):
         # deal with intern-s1-mini
@@ -4483,7 +4842,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         yield from super().modify_tensors(data_torch, name, bid)
 
 
-@ModelBase.register("Glm4vForConditionalGeneration", "Glm4vMoeForConditionalGeneration")
+@ModelBase.register("Glm4vForConditionalGeneration", "Glm4vMoeForConditionalGeneration", "GlmOcrForConditionalGeneration")
 class Glm4VVisionModel(Qwen3VLVisionModel):
     def set_gguf_parameters(self):
         MmprojModel.set_gguf_parameters(self) # skip Qwen3VLVisionModel parameters
@@ -4652,12 +5011,12 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         yield from super().modify_tensors(data_torch, name, bid)
 
 
-@ModelBase.register("Qwen3_5ForConditionalGeneration")
+@ModelBase.register("Qwen3_5ForConditionalGeneration", "Qwen3_5ForCausalLM")
 class Qwen3_5TextModel(_LinearAttentionVReorderBase):
     model_arch = gguf.MODEL_ARCH.QWEN35
 
 
-@ModelBase.register("Qwen3_5MoeForConditionalGeneration")
+@ModelBase.register("Qwen3_5MoeForConditionalGeneration", "Qwen3_5MoeForCausalLM")
 class Qwen3_5MoeTextModel(_LinearAttentionVReorderBase):
     model_arch = gguf.MODEL_ARCH.QWEN35MOE
 
@@ -4711,7 +5070,7 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_add_bos_token(False)
 
 
-@ModelBase.register("Phi3ForCausalLM")
+@ModelBase.register("Phi3ForCausalLM", "Phi4ForCausalLMV")
 class Phi3MiniModel(TextModel):
     model_arch = gguf.MODEL_ARCH.PHI3
 
@@ -4886,6 +5245,129 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
         yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_LONG), torch.tensor(long_factors, dtype=torch.float32))
         yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_SHORT), torch.tensor(short_factors, dtype=torch.float32))
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith(("model.vision_tower.", "vision_tower.", "model.mm_projector.", "mm_projector.")):
+            return
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
+@ModelBase.register("Phi4ForCausalLMV")
+class Phi4VisionMmprojModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+
+        self.vision_total_layers = int(self.find_vparam(self.n_block_keys))
+        if self.vision_total_layers < 2:
+            raise ValueError(
+                f"Phi-4 vision mmproj conversion requires at least 2 vision layers, got {self.vision_total_layers}"
+            )
+
+        # Phi-4 uses SigLIP2 hidden_states[-2], so export one fewer encoder block and
+        # drop post-layernorm/head weights. This makes the GGUF runtime output match
+        # the feature map consumed by the patched siglip.cpp Phi-4 projector path.
+        self.vision_export_layers = self.vision_total_layers - 1
+        self.vision_last_layer_idx = self.vision_total_layers - 1
+
+        for key in self.n_block_keys:
+            if key in self.hparams_vision:
+                self.hparams_vision[key] = self.vision_export_layers
+                break
+
+        self.block_count = self.vision_export_layers
+        self.tensor_map = gguf.get_tensor_name_map(gguf.MODEL_ARCH.MMPROJ, self.block_count)
+
+        patch_size = self.preprocessor_config.get("patch_size")
+        if patch_size is None:
+            raise KeyError("Phi-4 vision mmproj conversion requires patch_size in preprocessor_config.json")
+
+        self.hparams_vision["patch_size"] = patch_size
+
+        pos_emb_name = next(
+            (
+                name for name in self.model_tensors
+                if name.endswith("vision_model.embeddings.position_embedding.weight")
+            ),
+            None,
+        )
+        if pos_emb_name is None:
+            raise KeyError("Phi-4 vision mmproj conversion could not find position_embedding.weight")
+
+        pos_emb_shape = self.model_tensors[pos_emb_name]().shape
+        base_grid_tokens = int(pos_emb_shape[0])
+        grid_side = math.isqrt(base_grid_tokens)
+        if grid_side * grid_side != base_grid_tokens:
+            raise ValueError(f"Unexpected Phi-4 position embedding shape: {tuple(pos_emb_shape)}")
+
+        self.hparams_vision["image_size"] = grid_side * patch_size
+
+        min_num_patches = self.preprocessor_config.get("min_num_patches", self.global_config.get("min_num_patches"))
+        max_num_patches = self.preprocessor_config.get("max_num_patches", self.global_config.get("max_num_patches"))
+        if min_num_patches is None or max_num_patches is None:
+            raise KeyError("Phi-4 vision mmproj conversion requires min_num_patches and max_num_patches")
+
+        self.min_pixels = int(min_num_patches) * patch_size * patch_size
+        self.max_pixels = int(max_num_patches) * patch_size * patch_size
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        assert self.hparams_vision is not None
+
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.PHI4)
+        self.gguf_writer.add_vision_min_pixels(self.min_pixels)
+        self.gguf_writer.add_vision_max_pixels(self.max_pixels)
+        self.gguf_writer.add_vision_use_gelu(True)
+        self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams_vision.get("layer_norm_eps", 1e-6))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith(("model.vision_tower.vision_tower.", "vision_tower.")):
+            if ".vision_model.head." in name:
+                return
+
+            new_name = name.replace("model.vision_tower.vision_tower.", "vision_tower.")
+
+            if ".vision_model.post_layernorm." in new_name:
+                return
+
+            if bid is not None and bid == self.vision_last_layer_idx:
+                return
+
+            if new_name.endswith("vision_model.embeddings.patch_embedding.weight"):
+                assert self.hparams_vision is not None
+                if data_torch.ndim != 2:
+                    raise ValueError(f"Unexpected Phi-4 patch embedding shape: {tuple(data_torch.shape)}")
+
+                patch_area = self.hparams_vision["patch_size"] ** 2
+                in_features = data_torch.shape[1]
+                if in_features % patch_area != 0:
+                    raise ValueError(
+                        f"Phi-4 patch embedding input dim {in_features} is not divisible by patch area {patch_area}"
+                    )
+
+                num_channels = in_features // patch_area
+                patch_size = self.hparams_vision["patch_size"]
+                data_torch = data_torch.view(data_torch.shape[0], patch_size, patch_size, num_channels)
+                data_torch = data_torch.permute(0, 3, 1, 2)
+
+            yield from super().modify_tensors(data_torch, new_name, bid)
+            return
+
+        if name.startswith(("model.mm_projector.", "mm_projector.")):
+            local_name = name
+            local_name = local_name.replace("model.mm_projector.", "")
+            local_name = local_name.replace("mm_projector.", "")
+
+            if not (local_name.startswith("0.") or local_name.startswith("2.")):
+                return
+
+            suffix = ".bias" if local_name.endswith(".bias") else ".weight"
+            mm_idx = int(local_name.split(".", maxsplit=1)[0])
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ, mm_idx, suffix=suffix), data_torch)
+            return
+
+        return
+
 
 @ModelBase.register("PhiMoEForCausalLM")
 class PhiMoeModel(Phi3MiniModel):
@@ -4895,13 +5377,13 @@ class PhiMoeModel(Phi3MiniModel):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        self.gguf_writer.add_expert_used_count(self.hparams["num_experts_per_tok"])
-        self.gguf_writer.add_expert_count(self.hparams["num_local_experts"])
+        self.gguf_writer.add_expert_used_count(self.find_hparam(["num_experts_per_tok", "num_experts_per_token"]))
+        self.gguf_writer.add_expert_count(self.find_hparam(["num_local_experts", "num_experts"]))
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # process the experts separately
         if name.find("block_sparse_moe.experts") != -1:
-            n_experts = self.hparams["num_local_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -5214,7 +5696,7 @@ def set_gguf_parameters(self):
         # Get ssm_d_conv from linear_attn_config.short_conv_kernel_size or ssm_d_conv
         linear_attn_config = self.hparams["linear_attn_config"]
         # n_head == 0 for KDA layers, n_head > 0 for MLA layers
-        # full_attention_layers list will be used to distingush layer type
+        # full_attention_layers list will be used to distinguish layer type
         _num_kv_heads = list()
         _full_attn_layers = linear_attn_config["full_attn_layers"]
         for il in range(self.hparams["num_hidden_layers"]):
@@ -5313,7 +5795,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         # process the experts separately
         if name.find("block_sparse_moe.experts") != -1:
-            n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=False)
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -5908,12 +6390,13 @@ def modify_tensors(self, data_torch: torch.Tensor, name: str, bid: int | None) -
         if "mlp.experts.bias" in name:
             return # Explicitly return.
 
+        n_experts = self.find_hparam(["num_local_experts", "num_experts"])
         if "mlp.experts.mlp.w1" in name:
-            data_torch = data_torch.view(self.hparams["num_experts"], self.hparams["n_inner"], self.hparams["n_embd"])
+            data_torch = data_torch.view(n_experts, self.hparams["n_inner"], self.hparams["n_embd"])
             name += ".weight"
 
         if "mlp.experts.mlp.w2" in name:
-            data_torch = data_torch.view(self.hparams["num_experts"], self.hparams["n_inner"], self.hparams["n_embd"])
+            data_torch = data_torch.view(n_experts, self.hparams["n_inner"], self.hparams["n_embd"])
             data_torch = data_torch.transpose(1, 2)
             name += ".weight"
 
@@ -5923,7 +6406,6 @@ def set_gguf_parameters(self):
         super().set_gguf_parameters()
         if self.is_moe:
             self.gguf_writer.add_moe_every_n_layers(self.hparams["moe_every_n_layers"])
-            self.gguf_writer.add_expert_count(self.hparams["num_experts"])
             self.gguf_writer.add_expert_used_count(self.hparams["moe_top_k"])
 
     def _is_tokenizer_xlmroberta(self) -> bool:
@@ -5965,6 +6447,32 @@ def modify_tensors(self, data_torch, name, bid):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("EuroBertModel", "JinaEmbeddingsV5Model")
+class EuroBertModel(TextModel):
+    model_arch = gguf.MODEL_ARCH.EUROBERT
+
+    def set_vocab(self):
+        self.gguf_writer.add_add_bos_token(False)
+        self._set_vocab_gpt2()
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+
+        # EuroBert is bidirectional (encoder)
+        self.gguf_writer.add_causal_attention(False)
+
+        self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE)
+
+        self._try_set_pooling_type()
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # Strip "model." prefix from tensor names
+        if name.startswith("model."):
+            name = name[6:]
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("XLMRobertaModel", "XLMRobertaForSequenceClassification")
 class XLMRobertaModel(BertModel):
     model_arch = gguf.MODEL_ARCH.BERT
@@ -6289,7 +6797,7 @@ def set_gguf_parameters(self):
         super().set_gguf_parameters()
         hparams = self.hparams
         self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.GEMMA3)
-        # default values below are taken from HF tranformers code
+        # default values below are taken from HF transformers code
         self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("layer_norm_eps", 1e-6))
         self.gguf_writer.add_vision_use_gelu(True)
         # calculate proj_scale_factor (used by tinygemma3 test model)
@@ -6881,7 +7389,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
             if bid == 0 and "time_mix_a" in new_name:
                 # dummy v0/v1/v2 on first layer
-                # easist way to make llama happy
+                # easiest way to make llama happy
                 yield (new_name.replace("time_mix_a", "time_mix_v"), data_torch)
 
             yield (new_name, data_torch)
@@ -7037,6 +7545,8 @@ def __init__(self, dir_model: Path, *args, **kwargs):
         if hparams is None:
             with open(dir_model / "config.json", "r", encoding="utf-8") as f:
                 hparams = json.load(f)
+        if "llm_config" in hparams:
+            hparams["text_config"] = hparams["llm_config"]
         super().__init__(dir_model, *args, hparams=hparams, **kwargs)
         self.d_model = self.find_hparam(["hidden_size", "d_model", "dim"])
         self.d_inner = self.find_hparam(["mamba_d_ssm", "intermediate_size", "d_inner"], optional=True) or 2 * self.d_model
@@ -7158,8 +7668,8 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_ssm_state_size(d_state)
         self.gguf_writer.add_ssm_time_step_rank(dt_rank)
         self.gguf_writer.add_layer_norm_rms_eps(rms_norm_eps)
-        self.gguf_writer.add_expert_count(self.hparams["num_experts"])
-        self.gguf_writer.add_expert_used_count(self.hparams["num_experts_per_tok"])
+        self.gguf_writer.add_expert_count(self.find_hparam(["num_local_experts", "num_experts"]))
+        self.gguf_writer.add_expert_used_count(self.find_hparam(["num_experts_per_tok", "num_experts_per_token"]))
         self.gguf_writer.add_file_type(self.ftype)
 
     _experts: list[dict[str, Tensor]] | None = None
@@ -7177,7 +7687,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         # process the experts separately
         if ".feed_forward.experts." in name:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
 
             assert bid is not None
 
@@ -7263,6 +7773,17 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_rope_dimension_count(int(rotary_pct * (hidden_size // num_attention_heads)))
         self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE)
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # Cohere2 runtime in llama.cpp expects no bias tensors;
+        # the actual weight only contains 0-value tensors as bias, we can skip them
+        if name.endswith(".bias"):
+            if torch.any(data_torch != 0):
+                raise ValueError(f"Bias tensor {name!r} is not zero.")
+            logger.debug(f"Skipping bias tensor {name!r} for Cohere2 conversion.")
+            return
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
 
 @ModelBase.register("OlmoForCausalLM")
 @ModelBase.register("OLMoForCausalLM")
@@ -7325,8 +7846,6 @@ class OlmoeModel(TextModel):
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
         self.gguf_writer.add_layer_norm_rms_eps(1e-5)
-        if (n_experts := self.hparams.get("num_experts")) is not None:
-            self.gguf_writer.add_expert_count(n_experts)
 
     _experts: list[dict[str, Tensor]] | None = None
 
@@ -7334,7 +7853,7 @@ def set_gguf_parameters(self):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # process the experts separately
         if name.find("experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -7710,6 +8229,9 @@ def prepare_tensors(self):
 class DeepseekV2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK2
 
+    # TODO @ngxson : remove this when we support MTP for deepseek models
+    skip_mtp = True
+
     def set_vocab(self):
         try:
             self._set_vocab_gpt2()
@@ -7841,10 +8363,11 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             name = name.replace("e_score_correction_bias", "e_score_correction.bias")
 
         # skip Multi-Token Prediction (MTP) layers
-        block_count = self.hparams["num_hidden_layers"]
-        match = re.match(r"model.layers.(\d+)", name)
-        if match and int(match.group(1)) >= block_count:
-            return
+        if self.skip_mtp:
+            block_count = self.hparams["num_hidden_layers"]
+            match = re.match(r"model.layers.(\d+)", name)
+            if match and int(match.group(1)) >= block_count:
+                return
 
         # process the experts separately
         if name.find("mlp.experts") != -1:
@@ -7911,10 +8434,6 @@ class MiniMaxM2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MINIMAXM2
     _experts_cache: dict[int, dict[str, Tensor]] = {}
 
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.hparams["num_experts"] = self.hparams["num_local_experts"]
-
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
 
@@ -7927,7 +8446,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
 
         # merge expert weights
         if 'experts' in name:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             expert_cache = self._experts_cache.setdefault(bid, {})
@@ -8521,6 +9040,17 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("Jais2ForCausalLM")
+class Jais2Model(TextModel):
+    model_arch = gguf.MODEL_ARCH.JAIS2
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        hparams = self.hparams
+        head_dim = hparams.get("head_dim", hparams["hidden_size"] // hparams["num_attention_heads"])
+        self.gguf_writer.add_rope_dimension_count(head_dim)
+
+
 @ModelBase.register("JAISLMHeadModel")
 class JaisModel(TextModel):
     model_arch = gguf.MODEL_ARCH.JAIS
@@ -8664,7 +9194,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             n_head = self.hparams["num_attention_heads"]
             n_kv_head = self.hparams["num_key_value_heads"]
             n_embd = self.hparams["hidden_size"]
-            head_dim = n_embd // n_head
+            head_dim = self.hparams.get("head_dim", n_embd // n_head)
             # because llama.cpp M-RoPE kernel only supports Neox ordering, we have to permute the weights here
             if name.endswith(("q_proj.weight", "q_proj.bias")):
                 data_torch = Glm4Model.normal_to_neox(data_torch, n_head, n_head, head_dim, self.partial_rotary_factor)
@@ -8673,6 +9203,27 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("GlmOcrForConditionalGeneration")
+class GlmOCRModel(Glm4Model):
+    model_arch = gguf.MODEL_ARCH.GLM4
+    use_mrope = False
+    partial_rotary_factor = 0.5
+
+    # Note: GLM-OCR is the same as GLM4, but with an extra NextN/MTP prediction layer
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        # GLM-OCR has num_hidden_layers + 1 actual layers (including NextN layer)
+        self.block_count = self.hparams["num_hidden_layers"] + self.hparams.get("num_nextn_predict_layers", 0)
+        self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count)
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        # NextN/MTP prediction layers
+        if (num_nextn_predict_layers := self.hparams.get("num_nextn_predict_layers")) is not None:
+            self.gguf_writer.add_nextn_predict_layers(num_nextn_predict_layers)
+
+
 @ModelBase.register("Glm4MoeForCausalLM", "Glm4vMoeForConditionalGeneration")
 class Glm4MoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GLM4_MOE
@@ -8684,24 +9235,7 @@ def __init__(self, *args, **kwargs):
         self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count)
 
     def set_vocab(self):
-        from transformers import AutoTokenizer
-
-        tokenizer = AutoTokenizer.from_pretrained(self.dir_model)
-        special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
-        tokens, toktypes, tokpre = self.get_vocab_base()
-        self.gguf_writer.add_tokenizer_model("gpt2")
-        self.gguf_writer.add_tokenizer_pre(tokpre)
-        self.gguf_writer.add_token_list(tokens)
-        self.gguf_writer.add_token_types(toktypes)
-
-        # Special tokens
-        # Note: Using <|endoftext|> (151329) for eot causes endless generation
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # 151331
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # 151336
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"]) # 151329
-        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # 151338
-
-        special_vocab.add_to_gguf(self.gguf_writer)
+        return self._set_vocab_glm()
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
@@ -8801,26 +9335,38 @@ def prepare_tensors(self):
 class Glm4MoeLiteModel(DeepseekV2Model):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK2
 
-    # copied from Glm4MoeModel
     def set_vocab(self):
-        from transformers import AutoTokenizer
+        return self._set_vocab_glm()
 
-        tokenizer = AutoTokenizer.from_pretrained(self.dir_model)
-        special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
-        tokens, toktypes, tokpre = self.get_vocab_base()
-        self.gguf_writer.add_tokenizer_model("gpt2")
-        self.gguf_writer.add_tokenizer_pre(tokpre)
-        self.gguf_writer.add_token_list(tokens)
-        self.gguf_writer.add_token_types(toktypes)
 
-        # Special tokens
-        # Note: Using <|endoftext|> (151329) for eot causes endless generation
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # 151331
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # 151336
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"]) # 151329
-        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # 151338
+@ModelBase.register("GlmMoeDsaForCausalLM")
+class GlmMoeDsaModel(DeepseekV2Model):
+    model_arch = gguf.MODEL_ARCH.GLM_DSA
+    skip_mtp = False
 
-        special_vocab.add_to_gguf(self.gguf_writer)
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.block_count = self.hparams["num_hidden_layers"] + self.hparams.get("num_nextn_predict_layers", 0)
+        self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count)
+
+    def set_vocab(self):
+        return self._set_vocab_glm()
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+
+        rope_dim = self.hparams["qk_rope_head_dim"]
+        partial_rotary_factor = self.hparams.get("partial_rotary_factor", 1.0)
+        self.gguf_writer.add_rope_dimension_count(int(rope_dim * partial_rotary_factor))
+
+        # NextN/MTP prediction layers
+        if (num_nextn_predict_layers := self.hparams.get("num_nextn_predict_layers")) is not None:
+            self.gguf_writer.add_nextn_predict_layers(num_nextn_predict_layers)
+
+        # DSA indexer parameters
+        self.gguf_writer.add_indexer_head_count(self.hparams["index_n_heads"])
+        self.gguf_writer.add_indexer_key_length(self.hparams["index_head_dim"])
+        self.gguf_writer.add_indexer_top_k(self.hparams["index_topk"])
 
 
 @ModelBase.register("GlmForCausalLM", "ChatGLMModel", "ChatGLMForConditionalGeneration")
@@ -8947,7 +9493,9 @@ def set_vocab(self):
 
     def set_gguf_parameters(self):
         n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
+        assert n_embed is not None
         n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
+        assert n_head is not None
         n_head_kv = self.hparams.get("multi_query_group_num", self.hparams.get("num_key_value_heads", n_head))
         self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed))
         self.gguf_writer.add_embedding_length(n_embed)
@@ -9137,7 +9685,6 @@ def __init__(self, *args, **kwargs):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        self.gguf_writer.add_expert_count(self.hparams["num_experts"])
         moe_intermediate_size = self.hparams["moe_intermediate_size"]
         num_shared_experts = self.hparams["num_shared_experts"]
         self.gguf_writer.add_expert_feed_forward_length(moe_intermediate_size)
@@ -9178,7 +9725,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             name = name.replace("e_score_correction_bias", "e_score_correction.bias")
 
         if name.find("mlp.experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -9329,7 +9876,7 @@ def __init__(self, *args, **kwargs):
         # case, the model architecture needs to be updated to a standard
         # "granite" or "granitemoe" model
         if not self._ssm_layers:
-            has_experts = self.find_hparam(["num_experts_per_tok"], optional=True)
+            has_experts = self.find_hparam(["num_experts_per_tok", "num_experts_per_token"], optional=True)
             new_arch = (
                 gguf.MODEL_ARCH.GRANITE_MOE
                 if has_experts else
@@ -9343,7 +9890,7 @@ def __init__(self, *args, **kwargs):
         # NOTE: Explicitly include hparam prefix prefix for d_model to
         #   disambiguate with top-level head_dim
         # NOTE 2: If needed for future models, this can be isolated in a method
-        #   to separate the prefix setting and teh keys used
+        #   to separate the prefix setting and the keys used
         self.d_model = self.find_hparam([f"{self.hparam_prefixes[0]}_head_dim", "hidden_size", "d_model"])
         self.n_group = self.find_hparam(["n_groups", "num_groups"])
         self.d_inner = self.find_hparam(["expand", "num_heads"]) * self.d_model
@@ -9474,23 +10021,38 @@ def __init__(self, *args, **kwargs):
         # M: Mamba2, *: Attention, -: MLP
         # MoE:
         # M: Mamba2, *: Attention, E: Expert
-        hybrid_override_pattern = self.hparams["hybrid_override_pattern"]
-        self._ssm_layers = [i for i, val in enumerate(hybrid_override_pattern) if val == "M"]
-        self._mlp_layers = [i for i, val in enumerate(hybrid_override_pattern) if val == ("E" if self.is_moe else "-")]
+        pattern = self.hparams.get("hybrid_override_pattern") or self.hparams.get("layers_block_type")
+        if pattern is None:
+            self._ssm_layers = []
+            self._mlp_layers = []
+        elif isinstance(pattern, str):
+            self._ssm_layers = [i for i, val in enumerate(pattern) if val == "M"]
+            self._mlp_layers = [i for i, val in enumerate(pattern) if val == ("E" if self.is_moe else "-")]
+        else:
+            self._ssm_layers = [i for i, val in enumerate(pattern) if val == "mamba"]
+            self._mlp_layers = [i for i, val in enumerate(pattern) if val == "moe"]
 
     def get_attn_layers(self):
-        hybrid_override_pattern = self.hparams["hybrid_override_pattern"]
-        assert len(hybrid_override_pattern) == self.block_count, "Mismatch between hybrid override and num_hidden_layers!"
-        return [i for i, val in enumerate(hybrid_override_pattern) if val == "*"]
+        pattern = self.hparams.get("hybrid_override_pattern") or self.hparams.get("layers_block_type")
+        if pattern is None:
+            return []
+        assert len(pattern) == self.block_count, f"Mismatch between pattern ({len(pattern)}) and block_count ({self.block_count})!"
+        if isinstance(pattern, str):
+            return [i for i, val in enumerate(pattern) if val == "*"]
+
+        return [i for i, val in enumerate(pattern) if val == "attention"]
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
 
-        self.gguf_writer.add_key_length(self.head_dim)
-        self.gguf_writer.add_value_length(self.head_dim)
+        head_dim = self.head_dim
+        if head_dim is None:
+            raise ValueError("Could not find the attention head dim in config")
+        self.gguf_writer.add_key_length(head_dim)
+        self.gguf_writer.add_value_length(head_dim)
 
         # Set feed_forward_length
-        # NOTE: This will trigger an override warning. This is preferrable to
+        # NOTE: This will trigger an override warning. This is preferable to
         #   duplicating all the parent logic
         if not self.is_moe:
             n_ff = self.find_hparam(["intermediate_size", "n_inner", "hidden_dim"])
@@ -9515,6 +10077,9 @@ def set_gguf_parameters(self):
             if (n_experts_used := self.hparams.get("num_experts_per_tok")) is not None:
                 self.gguf_writer.add_expert_used_count(n_experts_used)
 
+            if (latent_size := self.hparams.get("moe_latent_size")) is not None:
+                self.gguf_writer.add_moe_latent_size(latent_size)
+
     def set_vocab(self):
         super().set_vocab()
 
@@ -9525,7 +10090,22 @@ def set_vocab(self):
             self.gguf_writer.add_add_bos_token(True)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # Skip vision model and projector tensors for VLM models (handled by mmproj) (e.g., Nemotron Nano 12B v2 VL)
+        if name.startswith(("vision_model.", "mlp1.")):
+            return
+
+        # Strip language_model. prefix for VLM models (e.g., Nemotron Nano 12B v2 VL)
+        if name.startswith("language_model."):
+            name = name[len("language_model."):]
+
         if self.is_moe and bid is not None:
+            # Skip Multi-Token Prediction (MTP) tensors. These are used for
+            # for speculative decoding but we don't include them in this model
+            # conversion. See https://github.com/ggml-org/llama.cpp/pull/18886
+            if name.startswith("mtp."):
+                logger.info(f"gguf: Skipping MTP (Speculative) layer: {name}")
+                return
+
             if name.endswith("mixer.gate.e_score_correction_bias"):
                 new_name = name.replace("e_score_correction_bias", "e_score_correction.bias")
                 yield from ModelBase.modify_tensors(self, data_torch, new_name, bid)
@@ -9619,7 +10199,6 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_vocab_size(hparams["vocab_size"])
         self.gguf_writer.add_expert_feed_forward_length(hparams["moe_intermediate_size"])
         self.gguf_writer.add_expert_weights_scale(1.0)
-        self.gguf_writer.add_expert_count(hparams["num_experts"])
         self.gguf_writer.add_expert_shared_count(hparams["num_shared_experts"])
         self.gguf_writer.add_expert_weights_norm(hparams["norm_topk_prob"])
 
@@ -9653,7 +10232,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             yield from super().modify_tensors(v,self.format_tensor_name(gguf.MODEL_TENSOR.ATTN_V, bid), bid)
             return
         elif name.find("mlp.experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -9724,7 +10303,6 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_expert_feed_forward_length(hparams["moe_intermediate_size"])
         self.gguf_writer.add_expert_shared_feed_forward_length(hparams.get("moe_shared_expert_intermediate_size", hparams["moe_intermediate_size"] * hparams["num_shared_experts"]))
         self.gguf_writer.add_expert_weights_scale(hparams["routed_scaling_factor"])
-        self.gguf_writer.add_expert_count(hparams["num_experts"])
         self.gguf_writer.add_expert_shared_count(hparams["num_shared_experts"])
         self.gguf_writer.add_expert_weights_norm(hparams["norm_topk_prob"])
 
@@ -9735,7 +10313,7 @@ def set_gguf_parameters(self):
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if "mlp.experts" in name:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -9781,8 +10359,6 @@ class GroveMoeModel(TextModel):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        if (n_experts := self.hparams.get("num_experts")) is not None:
-            self.gguf_writer.add_expert_count(n_experts)
         if (moe_intermediate_size := self.hparams.get("moe_intermediate_size")) is not None:
             self.gguf_writer.add_expert_feed_forward_length(moe_intermediate_size)
             logger.info(f"gguf: expert feed forward length = {moe_intermediate_size}")
@@ -9803,7 +10379,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         # process the experts separately
         if name.find("chunk_experts") != -1:
-            n_experts = self.hparams["num_experts"] // 2 # see add_experts_per_group
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"]) // 2 # see add_experts_per_group
             assert bid is not None
 
             if self._chunk_experts is None:
@@ -9830,7 +10406,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             else:
                 return
         elif name.find("experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -10223,7 +10799,6 @@ def set_gguf_parameters(self):
         super().set_gguf_parameters()
         hparams = self.hparams
 
-        self.gguf_writer.add_expert_count(hparams["num_experts"])
         self.gguf_writer.add_expert_shared_feed_forward_length(hparams["intermediate_size"])
 
         moe_intermediate_size = hparams["moe_intermediate_size"]
@@ -10266,7 +10841,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 return
 
         if name.find("mlp.experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -10308,16 +10883,9 @@ class LLaDAMoEModel(TextModel):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        if (n_experts := self.hparams.get("num_experts")) is not None:
-            self.gguf_writer.add_expert_count(n_experts)
-
         if (expert_intermediate_size := self.hparams.get("expert_intermediate_size")) is not None:
             self.gguf_writer.add_expert_feed_forward_length(expert_intermediate_size)
 
-        # number of experts used per token (top-k)
-        if (n_experts_used := self.hparams.get("num_experts_per_tok")) is not None:
-            self.gguf_writer.add_expert_used_count(n_experts_used)
-
         self.gguf_writer.add_mask_token_id(156895)
         self.gguf_writer.add_causal_attention(False)
         self.gguf_writer.add_diffusion_shift_logits(False)
@@ -10328,7 +10896,7 @@ def set_gguf_parameters(self):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # process the experts separately
         if name.find("experts") != -1:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -10603,7 +11171,7 @@ def _add_feed_forward_length(self):
     def set_gguf_parameters(self):
         # set num_key_value_heads only for attention layers
         self.hparams["num_key_value_heads"] = [
-            self.hparams["num_key_value_heads"] if layer_type == "full_attention" else 0
+            self.hparams["num_key_value_heads"] if layer_type != "conv" else 0
             for layer_type in self.hparams["layer_types"]
         ]
 
@@ -10665,7 +11233,6 @@ def set_gguf_parameters(self):
 
         super().set_gguf_parameters()
 
-        self.gguf_writer.add_expert_count(self.hparams["num_experts"])
         self.gguf_writer.add_expert_feed_forward_length(self.hparams["moe_intermediate_size"])
         self.gguf_writer.add_leading_dense_block_count(self.hparams["num_dense_layers"])
         self.gguf_writer.add_expert_gating_func(gguf.ExpertGatingFuncType.SIGMOID)
@@ -10686,7 +11253,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         # merge expert weights
         if 'experts' in name:
-            n_experts = self.hparams["num_experts"]
+            n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             expert_cache = self._experts_cache.setdefault(bid, {})
@@ -10790,15 +11357,37 @@ def modify_tensors(self, data_torch, name, bid):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("Lfm25AudioTokenizer")
+class LFM25AudioTokenizer(LFM2Model):
+    model_arch = gguf.MODEL_ARCH.LFM2
+
+    def set_vocab(self):
+        self._set_vocab_none()
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_sliding_window(self.hparams["sliding_window"])
+        self.gguf_writer.add_embedding_length_out(self.hparams["output_size"])
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name == "istft.window" or name.startswith("emb.emb"):
+            return
+
+        if name.startswith("lin"):
+            name = name.replace("lin", "dense_2_out")
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("SmallThinkerForCausalLM")
 class SmallThinkerModel(TextModel):
     model_arch = gguf.MODEL_ARCH.SMALLTHINKER
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        if (n_experts := self.hparams.get("num_experts", self.hparams.get("moe_num_primary_experts"))) is not None:
+        if (n_experts := self.hparams.get("moe_num_primary_experts")) is not None:
             self.gguf_writer.add_expert_count(n_experts)
-        if (n_experts_used := self.hparams.get("num_experts_per_tok", self.hparams.get("moe_num_active_primary_experts"))) is not None:
+        if (n_experts_used := self.hparams.get("moe_num_active_primary_experts")) is not None:
             self.gguf_writer.add_expert_used_count(n_experts_used)
         if (moe_intermediate_size := self.hparams.get("moe_ffn_hidden_size")) is not None:
             self.gguf_writer.add_expert_feed_forward_length(moe_intermediate_size)
@@ -10823,7 +11412,7 @@ def set_gguf_parameters(self):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # process the experts separately
         if name.find("experts") != -1:
-            n_experts = self.hparams.get("num_experts", self.hparams.get("moe_num_primary_experts"))
+            n_experts = self.hparams.get("moe_num_primary_experts") or self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
 
             if self._experts is None:
@@ -10881,13 +11470,17 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_vocab_size(self.hparams["vocab_size"])
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # these layers act as MLM head, so we don't need them
-        if name.startswith("decoder."):
-            return
-
         if name.startswith("model."):
             name = name[6:]
 
+        if self.cls_out_labels:
+            # For BertForSequenceClassification (direct projection layer)
+            if name == "classifier.weight":
+                name = "classifier.out_proj.weight"
+
+            if name == "classifier.bias":
+                name = "classifier.out_proj.bias"
+
         yield from super().modify_tensors(data_torch, name, bid)
 
 
@@ -11695,6 +12288,11 @@ def parse_args() -> argparse.Namespace:
               "Default these modules are not included.")
     )
 
+    parser.add_argument(
+        "--fuse-gate-up-exps", action="store_true",
+        help="Fuse gate_exps and up_exps tensors into a single gate_up_exps tensor for MoE models.",
+    )
+
     args = parser.parse_args()
     if not args.print_supported_models and args.model is None:
         parser.error("the following arguments are required: model")
@@ -11832,7 +12430,8 @@ def main() -> None:
                                      split_max_size=split_str_to_n_bytes(args.split_max_size), dry_run=args.dry_run,
                                      small_first_shard=args.no_tensor_first_split,
                                      remote_hf_model_id=hf_repo_id, disable_mistral_community_chat_template=disable_mistral_community_chat_template,
-                                     sentence_transformers_dense_modules=args.sentence_transformers_dense_modules
+                                     sentence_transformers_dense_modules=args.sentence_transformers_dense_modules,
+                                     fuse_gate_up_exps=args.fuse_gate_up_exps
                                      )
 
         if args.vocab_only:
diff --git a/convert_hf_to_gguf_update.py b/convert_hf_to_gguf_update.py
index a6834515080..b31ddcca774 100755
--- a/convert_hf_to_gguf_update.py
+++ b/convert_hf_to_gguf_update.py
@@ -99,6 +99,7 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "stablelm2",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b", },
     {"name": "refact",           "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/smallcloudai/Refact-1_6-base", },
     {"name": "command-r",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", },
+    {"name": "tiny_aya",         "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/CohereLabs/tiny-aya-base", },
     {"name": "qwen2",            "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen1.5-7B", },
     {"name": "olmo",             "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/allenai/OLMo-1.7-7B-hf", },
     {"name": "dbrx",             "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/databricks/dbrx-base", },
@@ -106,6 +107,7 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "jina-v2-en",       "tokt": TOKENIZER_TYPE.WPM, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-en", }, # WPM!
     {"name": "jina-v2-es",       "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-es", },
     {"name": "jina-v2-de",       "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-de", },
+    {"name": "jina-v5-nano",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v5-text-nano", },
     {"name": "smaug-bpe",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct", },
     {"name": "poro-chat",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/LumiOpen/Poro-34B-chat", },
     {"name": "jina-v2-code",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-code", },
@@ -113,6 +115,7 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "gemma",            "tokt": TOKENIZER_TYPE.SPM, "repo": "https://huggingface.co/google/gemma-2b", },
     {"name": "gemma-2",          "tokt": TOKENIZER_TYPE.SPM, "repo": "https://huggingface.co/google/gemma-2-9b", },
     {"name": "jais",             "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/core42/jais-13b", },
+    {"name": "jais-2",           "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/inceptionai/Jais-2-8B-Chat", },
     {"name": "t5",               "tokt": TOKENIZER_TYPE.UGM, "repo": "https://huggingface.co/google-t5/t5-small", },
     {"name": "codeshell",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/WisdomShell/CodeShell-7B", },
     {"name": "tekken",           "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/mistralai/Mistral-Nemo-Base-2407", },
@@ -148,7 +151,9 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "youtu",            "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/tencent/Youtu-LLM-2B", },
     {"name": "solar-open",       "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/upstage/Solar-Open-100B", },
     {"name": "exaone-moe",       "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B", },
-    {"name": "qwen35",           "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen3.5-9B-Instruct", }
+    {"name": "qwen35",           "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen3.5-9B-Instruct", },
+    {"name": "joyai-llm",        "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jdopensource/JoyAI-LLM-Flash", },
+    {"name": "kanana2",          "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/kakaocorp/kanana-2-30b-a3b-instruct-2601", },
 ]
 
 # some models are known to be broken upstream, so we will skip them as exceptions
@@ -158,6 +163,7 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "chatglm-bpe", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/THUDM/glm-4-9b-chat", "chkhsh": "81d72c7348a9f0ebe86f23298d37debe0a5e71149e29bd283904c02262b27516"},
     {"name": "glm4", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/THUDM/glm-4-9b-hf", "chkhsh": "a1336059768a55c99a734006ffb02203cd450fed003e9a71886c88acf24fdbc2"},
     {"name": "glm4", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/zai-org/GLM-4.5-Air", "chkhsh": "9ca2dd618e8afaf09731a7cf6e2105b373ba6a1821559f258b272fe83e6eb902"},
+    {"name": "glm4", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/zai-org/GLM-4.7-Flash", "chkhsh": "cdf5f35325780597efd76153d4d1c16778f766173908894c04afc20108536267"},
     {"name": "minerva-7b", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0", "chkhsh": "1431a23e583c97432bc230bff598d103ddb5a1f89960c8f1d1051aaa944d0b35"},
     {"name": "hunyuan", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/tencent/Hunyuan-A13B-Instruct", "chkhsh": "7e57df22b1fe23a7b1e1c7f3dc4e3f96d43a4eb0836d0c6bdc3436d7b2f1c664"},
     {"name": "hunyuan-dense", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/tencent/Hunyuan-4B-Instruct", "chkhsh": "bba3b3366b646dbdded5dbc42d59598b849371afc42f7beafa914afaa5b70aa6"},
@@ -171,7 +177,6 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "grok-2",    "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/alvarobartt/grok-2-tokenizer", "chkhsh": "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273"},
     # jina-v2-de variants
     {"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/aari1995/German_Semantic_V3", "chkhsh": "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df"},
-    {"name": "glm4", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/zai-org/GLM-4.7-Flash", "chkhsh": "cdf5f35325780597efd76153d4d1c16778f766173908894c04afc20108536267"},
 ]
 
 
diff --git a/docs/autoparser.md b/docs/autoparser.md
new file mode 100644
index 00000000000..686b2c249b6
--- /dev/null
+++ b/docs/autoparser.md
@@ -0,0 +1,525 @@
+# Auto-Parser Architecture
+
+The auto-parser automatically analyzes chat templates to determine how to parse model outputs, including content, reasoning, and tool calls.
+
+## Overview
+
+The unified auto-parser uses a pure differential, compositional approach (inspired by the `git diff` algorithm) to analyze chat templates:
+
+**Core Philosophy**:
+
+- **Minimize Hardcoded Patterns**: All markers extracted through template comparison (the only heuristic is JSON detection to distinguish `JSON_NATIVE` from tag-based formats)
+- **Compositional Architecture**: Separate analyzer structs for reasoning, content, and tools — each responsible for its own analysis and parser construction
+
+**Analysis + Parser Building in Two Steps**:
+
+1. `autoparser::autoparser tmpl_analysis(tmpl)` — runs all differential comparisons and populates the analysis structs
+2. `autoparser::peg_generator::generate_parser(tmpl, params, tmpl_analysis)` — uses the analysis to build a PEG parser and optional GBNF grammar
+
+## Data Structures
+
+All structs are defined in [common/chat-auto-parser.h](common/chat-auto-parser.h).
+
+### Top-Level: `autoparser` (main analyzer and generator)
+
+[common/chat-auto-parser.h:367-388](common/chat-auto-parser.h#L367-L388) — top-level analysis result aggregating `jinja_caps`, `reasoning`, `content`, and `tools` sub-analyses, plus `preserved_tokens` (union of all non-empty markers).
+
+### `analyze_reasoning`
+
+[common/chat-auto-parser.h:254-274](common/chat-auto-parser.h#L254-L274) — reasoning analysis result: `mode` enum, `start` marker (e.g. `<think>`), and `end` marker (e.g. `</think>`).
+
+### `analyze_content`
+
+[common/chat-auto-parser.h:280-295](common/chat-auto-parser.h#L280-L295) — content analysis result: `mode` enum, `start`/`end` markers, and `requires_nonnull_content` flag.
+
+### `analyze_tools` and its sub-structs
+
+- [common/chat-auto-parser.h:176-194](common/chat-auto-parser.h#L176-L194) — `tool_format_analysis`: `mode` enum, `section_start/end`, `per_call_start/end`, JSON field names (`function_field`, `name_field`, `args_field`, `id_field`, `gen_id_field`), and format flags (`fun_name_is_key`, `tools_array_wrapped`, `uses_python_dicts`)
+- [common/chat-auto-parser.h:196-200](common/chat-auto-parser.h#L196-L200) — `tool_function_analysis`: `name_prefix`, `name_suffix`, `close` markers around function names
+- [common/chat-auto-parser.h:202-210](common/chat-auto-parser.h#L202-L210) — `tool_arguments_analysis`: `start/end` container markers, `name_prefix/suffix`, `value_prefix/suffix`, `separator`
+- [common/chat-auto-parser.h:212-217](common/chat-auto-parser.h#L212-L217) — `tool_id_analysis`: `pos` enum, `prefix`/`suffix` markers around call ID values
+- [common/chat-auto-parser.h:301-361](common/chat-auto-parser.h#L301-L361) — `analyze_tools`: aggregates the four sub-structs above
+
+### Enums
+
+**`reasoning_mode`**: How the template handles reasoning/thinking blocks.
+
+| Value           | Description                                                                       |
+|-----------------|-----------------------------------------------------------------------------------|
+| `NONE`          | No reasoning markers detected                                                     |
+| `TAG_BASED`     | Standard tag-based: `<think>...</think>`                                          |
+| `DELIMITER`     | Delimiter-based: reasoning ends at a delimiter (e.g., `[BEGIN FINAL RESPONSE]`)   |
+| `FORCED_OPEN`   | Template ends with open reasoning tag when `enable_thinking=true`                 |
+| `FORCED_CLOSED` | `enable_thinking=false` emits both tags; `enable_thinking=true` emits only start  |
+| `TOOLS_ONLY`    | Reasoning only appears in tool call responses, not plain content                  |
+
+**`content_mode`**: How the template wraps assistant content.
+
+| Value                    | Description                                                    |
+|--------------------------|----------------------------------------------------------------|
+| `PLAIN`                  | No content markers                                             |
+| `ALWAYS_WRAPPED`         | Content always wrapped: `<response>...</response>`             |
+| `WRAPPED_WITH_REASONING` | Content wrapped only when reasoning is present                 |
+
+**`tool_format`**: Classification of tool call structure.
+
+| Value            | Description                                                      |
+|------------------|------------------------------------------------------------------|
+| `NONE`           | No tool support detected                                         |
+| `JSON_NATIVE`    | Pure JSON: `{"name": "X", "arguments": {...}}`                   |
+| `TAG_WITH_JSON`  | Tag-based with JSON args: `<function=X>{...}</function>`         |
+| `TAG_WITH_TAGGED`| Tag-based with tagged args: `<param=key>value</param>`           |
+
+**`call_id_position`**: Where call IDs appear in tag-based formats.
+
+| Value                    | Description                                  |
+|--------------------------|----------------------------------------------|
+| `NONE`                   | No call ID support detected                  |
+| `PRE_FUNC_NAME`          | Before function name                         |
+| `BETWEEN_FUNC_AND_ARGS`  | Between function name and arguments          |
+| `POST_ARGS`              | After arguments                              |
+
+## Tool Calling Formats
+
+### JSON_NATIVE
+
+**Structure**: The entire tool call (function name, arguments, values) is in JSON format. Optional enclosing tags around the section.
+
+**Detection**: Function name appears inside a JSON structure (quotes preceded by `{` or `:`).
+
+**Examples**:
+
+Standard OpenAI-style:
+
+```json
+<tool_call>
+{"name": "get_weather", "arguments": {"location": "Paris", "unit": "celsius"}}
+</tool_call>
+```
+
+Mistral Nemo with array wrapper:
+
+```json
+[TOOL_CALLS]
+[{"name": "calculate", "arguments": {"expr": "2+2"}}]
+```
+
+Function name as JSON key (Apertus style):
+
+```json
+{"get_weather": {"location": "Paris"}}
+```
+
+---
+
+### TAG_WITH_JSON
+
+**Structure**: Function name is outside JSON, in tag attributes or XML-style tags. Arguments are a JSON object.
+
+**Detection**: Function name not in JSON, but argument names appear in JSON context.
+
+**Examples**:
+
+Functionary v3.1:
+
+```xml
+<function=get_weather>{"location": "Paris", "unit": "celsius"}</function>
+```
+
+MiniMax:
+
+```xml
+<minimax:tool_call>
+<tool_name>calculate</tool_name>
+<arguments>{"expr": "2+2"}</arguments>
+</minimax:tool_call>
+```
+
+---
+
+### TAG_WITH_TAGGED
+
+**Structure**: Both function name and argument names are in XML-style tags. String values are unquoted; non-string values are JSON-formatted.
+
+**Detection**: Neither function name nor argument names appear in a JSON context.
+
+**Examples**:
+
+Qwen/Hermes XML format:
+
+```xml
+<function=get_weather>
+<param=location>Paris</param>
+<param=unit>celsius</param>
+</function>
+```
+
+Mixed types:
+
+```xml
+<function=calculate>
+<param=expr>2+2</param>
+<param=precision>2</param>
+<param=options>{"round": true}</param>
+</function>
+```
+
+String values (`Paris`, `celsius`, `2+2`) are unquoted; `options` (object type) is JSON-formatted.
+
+---
+
+## Analysis Flow
+
+```text
+autoparser::autoparser(tmpl)
+    |
+    |-- Phase 1: analyze_reasoning(tmpl, jinja_caps.supports_tool_calls)
+    |     |-- R1: compare_reasoning_presence()   — with/without reasoning_content field
+    |     |-- R2: compare_thinking_enabled()     — enable_thinking=false vs true
+    |     '-- R3: compare_reasoning_scope()      — reasoning+content vs reasoning+tools
+    |           (only if supports_tool_calls)
+    |
+    |-- Phase 2: analyze_content(tmpl, reasoning)
+    |     '-- C1: compares content-only vs tools output and content-only vs reasoning output
+    |
+    |-- Phase 3: analyze_tools(tmpl, jinja_caps, reasoning)
+    |     (skipped entirely if !jinja_caps.supports_tool_calls)
+    |     |
+    |     |-- T1: analyze_tool_calls()           — no tools vs with tools; classifies format
+    |     |         |-- JSON path → analyze_tool_call_format_json_native()
+    |     |         '-- tag path → analyze_tool_call_format_non_json()
+    |     |
+    |     (if format != NONE and format != JSON_NATIVE:)
+    |     |
+    |     |-- T2: check_per_call_markers()       — 1 call vs 2 calls; moves section→per-call if needed
+    |     |         (only if supports_parallel_tool_calls)
+    |     |
+    |     |-- T3: extract_function_markers()     — func_alpha vs func_beta; extracts name prefix/suffix/close
+    |     |
+    |     |-- T4: analyze_arguments()            — (TAG_WITH_TAGGED only)
+    |     |         |-- A1: extract_argument_name_markers()   — arg_name_A vs arg_name_B
+    |     |         '-- A2: extract_argument_value_markers()  — value "XXXX" vs "YYYY"
+    |     |
+    |     |-- T5: extract_argument_separator()   — 1 arg vs 2 args; finds separator between args
+    |     |
+    |     |-- T6: extract_args_markers()         — 0 args vs 1 arg; finds args container markers
+    |     |
+    |     '-- T7: extract_call_id_markers()      — call_id "call00001" vs "call99999"
+    |
+    '-- collect_preserved_tokens()               — union of all non-empty markers
+    |
+    '-- apply workarounds()                      — post-hoc patches for edge-case templates
+    |
+    v
+autoparser (analysis result)
+    |
+    v
+autoparser::peg_generator::generate_parser(tmpl, inputs, analysis)
+    |-- analysis.build_parser(inputs)            — builds PEG parser arena
+    |     |-- reasoning.build_parser(ctx)        — reasoning parser (mode-dependent)
+    |     |-- content.build_parser(ctx)          — content parser (mode-dependent)
+    |     '-- tools.build_parser(ctx)            — tool parser (dispatches by tool_format)
+    |           |-- build_tool_parser_json_native()
+    |           |-- build_tool_parser_tag_json()
+    |           '-- build_tool_parser_tag_tagged()
+    |
+    |-- Build GBNF grammar (if tools present and trigger_marker non-empty)
+    '-- Set grammar_triggers from section_start or per_call_start
+    |
+    v
+common_chat_params (prompt, parser, grammar, triggers, preserved_tokens)
+```
+
+## Entry Point
+
+The auto-parser is invoked in [common/chat.cpp:1280-1310](common/chat.cpp#L1280-L1310) in `common_chat_templates_apply_jinja`. A few specialized templates are handled first (Ministral/Magistral Large 3, GPT-OSS with `<|channel|>`, Functionary v3.2 with `>>>all`), then the auto-parser handles everything else via `autoparser::autoparser` + `peg_generator::generate_parser`.
+
+## Algorithm Details
+
+### Core Mechanism: Differential Comparison
+
+All analysis phases use the same factorized comparison function declared in [common/chat-auto-parser-helpers.h:68](common/chat-auto-parser-helpers.h#L68):
+
+```cpp
+compare_variants(tmpl, params_A, params_modifier)
+```
+
+This creates variant B by applying a modifier lambda to a copy of `params_A`, renders both through the template, and computes a `diff_split` ([common/chat-auto-parser.h:28-37](common/chat-auto-parser.h#L28-L37)):
+
+- `prefix` — common prefix between A and B
+- `suffix` — common suffix between A and B
+- `left` — unique to variant A
+- `right` — unique to variant B
+
+The diff is computed via `calculate_diff_split()`, which finds the longest-common-prefix and longest-common-suffix, then iteratively moves incomplete `<...>` or `[...]` markers from the prefix/suffix into left/right until stable (tag boundary fixing).
+
+Text is segmentized into markers and non-marker fragments using `segmentize_markers()`, which splits on `<...>` and `[...]` boundaries.
+
+### Phase 1: Reasoning Analysis
+
+**R1 — `compare_reasoning_presence()`**: Compares assistant message with vs without a `reasoning_content` field.
+
+- Searches `diff.right` (output with reasoning) for the reasoning content needle
+- Uses PEG parsers to find surrounding markers:
+  - If both pre/post markers found in `diff.right` → `TAG_BASED` (both tags visible in diff = no forced close)
+  - If both found but post marker only in the full output B → `FORCED_CLOSED`
+  - If only post marker found → `DELIMITER`
+- Sets `reasoning.start` and `reasoning.end`
+
+**R2 — `compare_thinking_enabled()`**: Compares `enable_thinking=false` vs `true` with a generation prompt.
+
+- Detects `FORCED_OPEN`: `enable_thinking=true` adds a non-empty marker at the end of the prompt (where model will start generating) — sets `reasoning.start`, mode = `FORCED_OPEN`
+- Detects `FORCED_CLOSED`: `enable_thinking=false` produces both start+end markers; `enable_thinking=true` produces only start marker
+- Handles the reverse case: if both start and end are still empty, looks for a single-segment diff on each side to extract both markers
+
+**R3 — `compare_reasoning_scope()`**: Compares assistant message with reasoning+text-content vs reasoning+tool-calls.
+
+- Only runs if `jinja_caps.supports_tool_calls`
+- Detects `TOOLS_ONLY`: reasoning content present in B (with tools) but not in A (with text content)
+- Extracts reasoning markers from the tool call output using PEG parsers
+
+### Phase 2: Content Analysis
+
+**C1**: Two comparisons in the `analyze_content` constructor:
+
+- Comparison 1: content-only output vs tool-call output → `diff_tools`
+- Comparison 2: content-only output vs reasoning+empty-content output → `diff_reasoning`
+
+Classification logic:
+
+- `PLAIN`: `diff_tools.left` equals the response string (content is the entire diff, no wrapper)
+- `ALWAYS_WRAPPED`: markers found surrounding the content text in `pure_content` → extracts `start`/`end`
+
+### Phase 3: Tool Call Analysis
+
+**T1 — `analyze_tool_calls()`**: Compares no-tools vs with-tools output.
+
+- Extracts the tool call section as `diff.right`
+- Calls `analyze_tool_call_format()` which first strips reasoning markers from the haystack, then:
+  - Calls `in_json_haystack()` for both function name and argument name needles
+  - `in_json_haystack()` uses a PEG parser to check whether the needle appears in a JSON context (preceded by `{` or `:` with surrounding quotes)
+  - If function name is in JSON → `JSON_NATIVE` → `analyze_tool_call_format_json_native()`
+  - If function name not in JSON, arg name is in JSON → `TAG_WITH_JSON`
+  - If neither in JSON → `TAG_WITH_TAGGED`
+  - `analyze_tool_call_format_json_native()`: parses the JSON object, matches field values to needles to populate `name_field`, `args_field`, `id_field`, `gen_id_field`; detects `tools_array_wrapped`; extracts `section_start`/`section_end`
+  - `analyze_tool_call_format_non_json()`: uses PEG parsers on the haystack to find up to two opening markers (section + per-call) then up to two closing markers
+
+**T2 — `check_per_call_markers()`**: Compares 1 call vs 2 calls.
+
+- Computes a secondary diff of the second call portion vs the common suffix
+- If the second call content starts with `section_start` → the section marker is actually per-call → moves `section_start/end` to `per_call_start/end` and clears the section markers
+
+**T3 — `extract_function_markers()`**: Compares function name `FUN_FIRST` vs `FUN_SECOND` (two different named functions).
+
+- Finds where the function name appears in `diff.left`
+- Extracts `function.name_prefix` from the common prefix up to the function marker, and `function.name_suffix` from after the name up to the next marker
+- Extends `name_suffix` into `diff.suffix` (to the first marker for TAG_WITH_TAGGED; to the first `{` or `[` for TAG_WITH_JSON)
+- Extracts `function.close` from after the last argument value up to the per-call/section end marker
+
+**T4 — `analyze_arguments()`** (TAG_WITH_TAGGED only):
+
+- **A1 `extract_argument_name_markers()`**: Compares `arg_name_A` vs `arg_name_B` (two different argument names).
+  - Finds shared surrounding structure → `arguments.name_prefix`, `arguments.name_suffix`
+- **A2 `extract_argument_value_markers()`**: Compares argument value `"XXXX"` vs `"YYYY"` (same arg, different value).
+  - Finds markers surrounding the value → `arguments.value_prefix`, `arguments.value_suffix`
+
+**T5 — `extract_argument_separator()`**: Compares 1 argument vs 2 arguments (same function).
+
+- Uses `until_common_prefix(diff.right, ARG_FIRST, ARG_SECOND)` to find what separates the two argument blocks
+
+**T6 — `extract_args_markers()`**: Compares 0 arguments vs 1 argument.
+
+- Uses `until_common_prefix()` and `after_common_suffix()` with the empty and single-arg JSON strings as anchors to find container markers (`arguments.start`, `arguments.end`)
+
+**T7 — `extract_call_id_markers()`**: Compares call IDs `"call00001"` vs `"call99999"`.
+
+- Determines whether function name appears in `diff.prefix` or `diff.suffix` to classify position:
+  - Function name in prefix only → `BETWEEN_FUNC_AND_ARGS` or `POST_ARGS` (further distinguished by where `{` appears)
+  - Function name in suffix only → `PRE_FUNC_NAME`
+- Extracts `call_id.prefix` and `call_id.suffix` markers around the call ID value
+- Clears `per_call_end` if it incorrectly incorporated the call ID suffix
+
+### Workarounds
+
+A workaround array in `common/chat-diff-analyzer.cpp` applies post-hoc patches after analysis. Each workaround is a lambda that inspects the template source and overrides analysis results. Current workarounds:
+
+1. **Old Qwen/DeepSeek thinking templates** — source contains `content.split('</think>')`: sets `reasoning.mode = FORCED_OPEN` with `<think>`/`</think>` markers if no reasoning was detected
+2. **Granite 3.3** — source contains specific "Write your thoughts" text: forces `TAG_BASED` reasoning with `<think>`/`</think>` and `WRAPPED_WITH_REASONING` content with `<response>`/`</response>`
+3. **Cohere Command R+** — source contains `<|CHATBOT_TOKEN|>`: sets `ALWAYS_WRAPPED` content mode if no content start is already set
+4. **Functionary 3.1** — source contains `set has_code_interpreter`: forces `PLAIN` content, specific `per_call_start/end`, clears preserved tokens to only keep Functionary-specific markers
+5. **DeepSeek-R1-Distill-Qwen** — source contains `tool▁calls▁begin` markers: overrides tool section/per-call markers with the correct Unicode block characters
+
+### Parser Building
+
+Each analyzer struct (`analyze_reasoning`, `analyze_content`, `analyze_tools`) implements `build_parser(parser_build_context&)`. They share a `parser_build_context` that carries the PEG builder, inference inputs, the pre-built reasoning parser, and a pointer to the content analyzer.
+
+#### Reasoning Parser (`analyze_reasoning::build_parser`)
+
+| Mode                              | Parser                                                              |
+|-----------------------------------|---------------------------------------------------------------------|
+| Not extracting reasoning          | `eps()`                                                             |
+| `FORCED_OPEN` or `FORCED_CLOSED`  | `reasoning(until(end)) + end` — opening tag was in the prompt       |
+| `TAG_BASED` or `TOOLS_ONLY`       | `optional(start + reasoning(until(end)) + end)`                     |
+| `DELIMITER`                       | `optional(reasoning(until(end)) + end)` — no start marker           |
+
+#### Content Parser (`analyze_content::build_parser`)
+
+| Condition                              | Parser                                                                          |
+|----------------------------------------|---------------------------------------------------------------------------------|
+| `json_schema` present                  | `reasoning + space() + content(schema(json(), "response-format", ...)) + end()` |
+| Tools present                          | Dispatches to `analyze_tools::build_parser()`                                   |
+| `ALWAYS_WRAPPED` with reasoning        | `reasoning + start + content(until(end)) + end + end()`                         |
+| `ALWAYS_WRAPPED` without reasoning     | `content(until(start)) + start + content(until(end)) + end + end()`             |
+| Default (PLAIN)                        | `reasoning + content(rest()) + end()`                                           |
+
+#### Tool Parsers (`analyze_tools::build_parser`)
+
+Dispatches by `format.mode`:
+
+**`build_tool_parser_json_native()`**: Calls `p.standard_json_tools()` which internally dispatches to:
+
+- `build_json_tools_function_is_key()` — function name is the JSON key: `{"get_weather": {...}}`
+- `build_json_tools_nested_keys()` — nested: `{"function": {"name": "X", "arguments": {...}}}`
+- `build_json_tools_flat_keys()` — flat: `{"name": "X", "arguments": {...}}`
+
+Handles content wrappers, array wrapping (`tools_array_wrapped`), parallel calls, and `parameter_order`.
+
+**`build_tool_parser_tag_json()`**: For each tool function:
+
+```text
+tool_open(name_prefix + tool_name(literal(name)) + name_suffix) +
+    call_id_section +
+    tool_args(schema(json(), tool_schema))
+  [+ function.close if non-empty]
+```
+
+Wrapped in per-call markers (with optional parallel call repetition) then optionally in section markers.
+
+**`build_tool_parser_tag_tagged()`**: For each tool function, builds one parser per argument:
+
+- String types: `tool_arg_string_value(schema(until(value_suffix), ...))`
+- JSON types: `tool_arg_json_value(schema(json(), ...))`
+- Required args are plain; optional args wrapped in `optional()`
+- Arguments joined with `space()` between consecutive parsers
+
+For closing: uses `function.close` if present; otherwise uses `peek(per_call_end)` to avoid premature close during partial streaming; falls back to `tool_close(space())` to trigger mapper callbacks.
+
+All three tool parsers return:
+
+```text
+reasoning + optional(content(until(trigger_marker))) + tool_calls + end()
+```
+
+### Python Dict Format
+
+When `format.uses_python_dicts` is true (detected when single-quoted strings appear in JSON argument context), `build_parser()` pre-registers a `json-string` rule that accepts both single-quoted and double-quoted strings. This is done before any `p.json()` call so all JSON parsing inherits the flexible rule.
+
+## Mapper
+
+`common_chat_peg_mapper` maps PEG parse results (AST nodes) into `common_chat_msg` structures. Key design:
+
+- **Buffered arguments**: Before `tool_name` is known, argument text goes to `args_buffer`; once the name is set, the buffer is flushed to `current_tool->arguments`
+- **`args_target()`**: Returns a reference to whichever destination is currently active (buffer or tool args), eliminating branching
+- **`closing_quote_pending`**: Tracks whether a closing `"` needs to be appended when a string argument value is finalized (for schema-declared string types in tagged format)
+- **Quote normalization**: Python-style quotes (`'key': 'value'`) are converted to JSON (`"key": "value"`)
+- **Brace auto-closing**: At tool close, unclosed `{` braces are closed automatically
+
+## Files
+
+| File                                      | Purpose                                                              |
+|-------------------------------------------|----------------------------------------------------------------------|
+| `common/chat-auto-parser.h`               | All analysis structs, enums, `autoparser`, `peg_generator`, `templates_params` |
+| `common/chat-auto-parser-generator.cpp`   | Parser generator: `generate_parser()` and `build_parser()` methods   |
+| `common/chat-diff-analyzer.cpp`           | Differential analysis implementation and workarounds                 |
+| `common/chat-auto-parser-helpers.h/cpp`   | `calculate_diff_split()`, `segmentize_markers()`,                    |
+|                                           | `compare_variants()`, string helpers                                 |
+| `common/chat-peg-parser.h/cpp`            | `common_chat_peg_builder`, `common_chat_peg_mapper`, and helpers     |
+| `common/chat.cpp`                         | Entry point: `common_chat_templates_apply_jinja()`                   |
+| `tools/parser/debug-template-parser.cpp`  | Debug tool for template analysis                                     |
+| `tools/parser/template-analysis.cpp`      | Template analysis tool                                               |
+
+## Testing & Debugging
+
+### Debug Tools
+
+**Template Debugger**: `tools/parser/debug-template-parser.cpp`
+
+- Usage: `./bin/llama-debug-template-parser path/to/template.jinja`
+- Shows detected format, markers, generated parser, and GBNF grammar
+
+**Template Analysis**: `tools/parser/template-analysis.cpp`
+
+- Usage: `./bin/llama-template-analysis path/to/template.jinja`
+
+**Debug Logging**: Enable with `LLAMA_LOG_VERBOSITY=2`
+
+- Shows detailed analysis steps, pattern extraction results, and generated parser structure
+
+**PEG Test Builder**: Fluent API for creating test cases — see [tests/test-chat.cpp:947-1043](tests/test-chat.cpp#L947-L1043). Example usage:
+
+```cpp
+auto tst = peg_tester("models/templates/Template.jinja");
+tst.test("input text")
+   .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+   .tools({tool_json})
+   .parallel_tool_calls(true)
+   .enable_thinking(true)
+   .expect(expected_message)
+   .run();
+```
+
+### Tested Templates
+
+The following templates have active tests in `tests/test-chat.cpp`:
+
+| Template | Format | Notes |
+| -------- | ------ | ----- |
+| Ministral-3-14B-Reasoning | Reasoning | `[THINK]...[/THINK]` tags (specialized handler) |
+| NVIDIA-Nemotron-3-Nano-30B | TAG_WITH_TAGGED | Reasoning + tools |
+| CohereForAI Command-R7B | JSON_NATIVE | `<\|START_THINKING\|>`/`<\|START_RESPONSE\|>` markers |
+| Google Gemma 2 2B | Content only | No tool support |
+| Qwen-QwQ-32B | Reasoning | Forced-open thinking |
+| NousResearch Hermes 2 Pro | JSON_NATIVE | `<tool_call>` wrapper |
+| IBM Granite 3.3 | JSON_NATIVE | `<think></think>` + `<response></response>` |
+| ByteDance Seed-OSS | TAG_WITH_TAGGED | Custom `<seed:think>` and `<seed:tool_call>` tags |
+| Qwen3-Coder | TAG_WITH_TAGGED | XML-style tool format |
+| DeepSeek V3.1 | JSON_NATIVE | Forced thinking mode |
+| GLM-4.6 | TAG_WITH_TAGGED | `<tool_call>name\n<arg_key>...<arg_value>...` format |
+| GLM-4.7-Flash | TAG_WITH_TAGGED | Updated GLM format |
+| Kimi-K2-Thinking | JSON_NATIVE | Reasoning + JSON tools |
+| Apertus-8B-Instruct | JSON_NATIVE | Function name as JSON key |
+| MiniMax-M2 | TAG_WITH_JSON | XML invoke with JSON args |
+| NVIDIA-Nemotron-Nano-v2 | JSON_NATIVE | `<TOOLCALL>` wrapper (nested) |
+| CohereForAI Command-R Plus | JSON_NATIVE | Markdown code block format |
+| Mistral-Nemo-Instruct-2407 | JSON_NATIVE | `[TOOL_CALLS]` wrapper with ID field |
+| Functionary v3.1 | TAG_WITH_JSON | `<function=X>` format |
+| Functionary v3.2 | Specialized | `>>>` recipient delimiter (dedicated handler) |
+| Fireworks Firefunction v2 | TAG_WITH_JSON | Fireworks tool format |
+| DeepSeek R1 Distill (Llama/Qwen) | Reasoning | Forced-open thinking |
+| llama-cpp-deepseek-r1 | Reasoning | Forced-open thinking |
+| Kimi-K2 / Kimi-K2-Instruct | JSON_NATIVE | JSON tools with special markers |
+| Llama 3.1/3.2/3.3 | JSON_NATIVE | Standard Llama tool format |
+| OpenAI GPT-OSS | Specialized | Channel-based (dedicated handler) |
+| Apriel 1.5 | JSON_NATIVE | `<tool_calls>` wrapper with JSON array |
+| Apriel 1.6 Thinker | Reasoning | Implicit reasoning start |
+| Mistral Small 3.2 | JSON_NATIVE | `[TOOL_CALLS]func[ARGS]{...}` with call ID |
+| Devstral | JSON_NATIVE | `[TOOL_CALLS]func[ARGS]{...}` without call ID |
+| StepFun 3.5 Flash | TAG_WITH_TAGGED | `<function=X><parameter=Y>` format |
+
+## Adding Support for New Templates
+
+To support a new template format:
+
+1. **If it follows standard patterns** — The auto-parser should detect it automatically. Run `llama-debug-template-parser` to verify markers are correctly extracted.
+2. **If differential analysis extracts incorrect markers** — Add a workaround lambda to the `workarounds` vector in `common/chat-diff-analyzer.cpp`. Inspect the template source for a unique identifying substring.
+3. **If it needs fundamentally different handling** — Add a dedicated handler function in `chat.cpp` before the auto-parser block (as done for GPT-OSS, Functionary v3.2, and Ministral).
+
+## Edge Cases and Quirks
+
+1. **Forced Thinking**: When `enable_thinking=true` and the model prompt ends with an open reasoning tag (e.g., `<think>`), the parser enters forced thinking mode and immediately expects reasoning content without waiting for a start marker.
+2. **Per-Call vs Per-Section Markers**: Some templates wrap each tool call individually (`per_call_start/end`); others wrap the entire section (`section_start/end`). T2 (`check_per_call_markers()`) disambiguates by checking if the second call in a two-call output starts with the section marker.
+3. **Python Dict Format**: The Seed template family uses single-quoted JSON (`'key': 'value'`). The `uses_python_dicts` flag causes the PEG builder to register a flexible `json-string` rule accepting both quote styles before any JSON rules are built.
+4. **Tag Boundary Fixing**: `calculate_diff_split()` iteratively adjusts prefix/suffix boundaries to avoid splitting `<tag>` or `[marker]` tokens, ensuring clean extraction.
+5. **Call ID Side Effects**: When a call ID is detected, `per_call_end` may have been incorrectly set to include the call ID suffix. T7 clears `per_call_end` in this case.
+6. **Tool Analysis Gating**: `analyze_tools` is only constructed (and all tool analysis phases run) when `jinja_caps.supports_tool_calls` is true. Within tool analysis, `check_per_call_markers()` (T2) only runs if `jinja_caps.supports_parallel_tool_calls`.
+7. **`analyze_arguments()` Gating**: Within tool analysis, A1 and A2 (argument name/value marker extraction) only run for `TAG_WITH_TAGGED` format. `extract_argument_separator()` and `extract_args_markers()` run for all non-`JSON_NATIVE` formats.
diff --git a/docs/backend/CANN.md b/docs/backend/CANN.md
index b03c2a122cb..51adaaf95f5 100755
--- a/docs/backend/CANN.md
+++ b/docs/backend/CANN.md
@@ -20,7 +20,7 @@
 
 **Llama.cpp + CANN**
 
-The llama.cpp CANN backend is designed to support Ascend NPU. It utilize the ability of AscendC and ACLNN which are intergrated to CANN Toolkit and kernels to using Ascend NPU directly.
+The llama.cpp CANN backend is designed to support Ascend NPU. It utilize the ability of AscendC and ACLNN which are integrated to CANN Toolkit and kernels to using Ascend NPU directly.
 
 ## News
 
@@ -210,7 +210,7 @@ docker run --name llamacpp --device /dev/davinci0  --device /dev/davinci_manager
     # and install driver.
     sudo sh Ascend-hdk-910b-npu-firmware_x.x.x.x.X.run --full
     ```
-    If the following messaage appers, firmware is installed successfully.
+    If the following message appears, firmware is installed successfully.
     ```sh
     Firmware package installed successfully!
     ```
@@ -246,7 +246,7 @@ cmake --build build --config release
 
 1. **Retrieve and prepare model**
 
-    You can refer to the general [*Prepare and Quantize*](../../README.md#prepare-and-quantize) guide for model prepration.
+    You can refer to the general [*Obtaining and quantizing models*](../../README.md#obtaining-and-quantizing-models) guide for model prepration.
 
     **Notes**:
 
diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md
index b3cff96604e..7fb78eae370 100644
--- a/docs/backend/SYCL.md
+++ b/docs/backend/SYCL.md
@@ -9,6 +9,7 @@
 - [Linux](#linux)
 - [Windows](#windows)
 - [Environment Variable](#environment-variable)
+- [Design Rule](#design-rule)
 - [Known Issue](#known-issues)
 - [Q&A](#qa)
 - [TODO](#todo)
@@ -41,6 +42,9 @@ The following releases are verified and recommended:
 
 ## News
 
+- 2026.03
+  - Support Flash-Attention: less memory usage, performance impact depends on LLM.
+
 - 2026.02
   - Remove support for Nvidia & AMD GPU, because the oneAPI plugin for Nvidia & AMD GPU is unavailable: download/installation channels are out of work. User can't build up the software for Nvidia & AMD GPU.
 
@@ -281,7 +285,7 @@ as `-cl-fp32-correctly-rounded-divide-sqrt`
 
 #### Retrieve and prepare model
 
-You can refer to the general [*Prepare and Quantize*](README.md#prepare-and-quantize) guide for model preparation, or download an already quantized model like [llama-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-7B-GGUF/resolve/main/llama-2-7b.Q4_0.gguf?download=true) or [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/aptha/Meta-Llama-3-8B-Instruct-Q4_0-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf).
+You can refer to the general [*Obtaining and quantizing models*](../../README.md#obtaining-and-quantizing-models) guide for model preparation, or download an already quantized model like [llama-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-7B-GGUF/resolve/main/llama-2-7b.Q4_0.gguf?download=true) or [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/aptha/Meta-Llama-3-8B-Instruct-Q4_0-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf).
 
 ##### Check device
 
@@ -378,17 +382,27 @@ use 1 SYCL GPUs: [0] with Max compute units:512
 
 ## Windows
 
-### I. Setup Environment
-
-1. Install GPU driver
+### Install GPU driver
 
 Intel GPU drivers instructions guide and download page can be found here: [Get Intel GPU Drivers](https://www.intel.com/content/www/us/en/products/docs/discrete-gpus/arc/software/drivers.html).
 
-2. Install Visual Studio
+### Option 1: download the binary package directly
+
+Download the binary package for Windows from: https://github.com/ggml-org/llama.cpp/releases.
+
+Extract the package to local folder, run the llama tools directly. Refer to [Run the inference](#iii-run-the-inference-1).
+
+Note, the package includes the SYCL running time and all depended dll files, no need to install oneAPI package and activte them.
+
+### Option 2: build locally from the source code.
+
+#### I. Setup environment
+
+1. Install Visual Studio
 
 If you already have a recent version of Microsoft Visual Studio, you can skip this step. Otherwise, please refer to the official download page for [Microsoft Visual Studio](https://visualstudio.microsoft.com/).
 
-3. Install Intel® oneAPI Base toolkit
+2. Install Intel® oneAPI Base toolkit
 
 SYCL backend depends on:
   - Intel® oneAPI DPC++/C++ compiler/running-time.
@@ -439,25 +453,25 @@ Output (example):
 [ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Iris(R) Xe Graphics 1.3 [1.3.28044]
 ```
 
-4. Install build tools
+3. Install build tools
 
 a. Download & install cmake for Windows: https://cmake.org/download/ (CMake can also be installed from Visual Studio Installer)
 b. The new Visual Studio will install Ninja as default. (If not, please install it manually: https://ninja-build.org/)
 
 
-### II. Build llama.cpp
+#### II. Build llama.cpp
 
 You could download the release package for Windows directly, which including binary files and depended oneAPI dll files.
 
 Choose one of following methods to build from source code.
 
-#### 1. Script
+##### Option 1: Script
 
 ```sh
 .\examples\sycl\win-build-sycl.bat
 ```
 
-#### 2. CMake
+##### Option 2: CMake
 
 On the oneAPI command line window, step into the llama.cpp main directory and run the following:
 
@@ -486,7 +500,7 @@ cmake --preset x64-windows-sycl-debug
 cmake --build build-x64-windows-sycl-debug -j --target llama-completion
 ```
 
-#### 3. Visual Studio
+##### Option 3: Visual Studio
 
 You have two options to use Visual Studio to build llama.cpp:
 - As CMake Project using CMake presets.
@@ -496,7 +510,7 @@ You have two options to use Visual Studio to build llama.cpp:
 
 All following commands are executed in PowerShell.
 
-##### - Open as a CMake Project
+###### - Open as a CMake Project
 
 You can use Visual Studio to open the `llama.cpp` folder directly as a CMake project. Before compiling, select one of the SYCL CMake presets:
 
@@ -511,7 +525,7 @@ You can use Visual Studio to open the `llama.cpp` folder directly as a CMake pro
     cmake --build build --config Release -j --target llama-completion
     ```
 
-##### - Generating a Visual Studio Solution
+###### - Generating a Visual Studio Solution
 
 You can use Visual Studio solution to build and work on llama.cpp on Windows. You need to convert the CMake Project into a `.sln` file.
 
@@ -569,7 +583,7 @@ Once it is completed, final results will be in **build/Release/bin**
 
 #### Retrieve and prepare model
 
-You can refer to the general [*Prepare and Quantize*](README.md#prepare-and-quantize) guide for model preparation, or download an already quantized model like [llama-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-7B-GGUF/blob/main/llama-2-7b.Q4_0.gguf) or [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/aptha/Meta-Llama-3-8B-Instruct-Q4_0-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf).
+You can refer to the general [*Obtaining and quantizing models*](../../README.md#obtaining-and-quantizing-models) guide for model preparation, or download an already quantized model like [llama-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-7B-GGUF/blob/main/llama-2-7b.Q4_0.gguf) or [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/aptha/Meta-Llama-3-8B-Instruct-Q4_0-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf).
 
 ##### Check device
 
@@ -599,7 +613,7 @@ found 2 SYCL devices:
 
 ```
 
-#### Choose level-zero devices
+##### Choose level-zero devices
 
 |Chosen Device ID|Setting|
 |-|-|
@@ -607,7 +621,7 @@ found 2 SYCL devices:
 |1|`set ONEAPI_DEVICE_SELECTOR="level_zero:1"`|
 |0 & 1|`set ONEAPI_DEVICE_SELECTOR="level_zero:0;level_zero:1"` or `set ONEAPI_DEVICE_SELECTOR="level_zero:*"`|
 
-#### Execute
+##### Execute
 
 Choose one of following methods to run.
 
@@ -665,7 +679,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512
 
 ## Environment Variable
 
-#### Build
+### Build
 
 | Name               | Value                                 | Function                                    |
 |--------------------|---------------------------------------|---------------------------------------------|
@@ -680,23 +694,50 @@ use 1 SYCL GPUs: [0] with Max compute units:512
 
 1. FP32 or FP16 have different performance impact to LLM. Recommended to test them for better prompt processing performance on your models. You need to rebuild the code after change `GGML_SYCL_F16=OFF/ON`.
 
-#### Runtime
+### Runtime
 
 | Name              | Value            | Function                                                                                                                  |
 |-------------------|------------------|---------------------------------------------------------------------------------------------------------------------------|
 | GGML_SYCL_DEBUG   | 0 (default) or 1 | Enable log function by macro: GGML_SYCL_DEBUG                                                                             |
+| GGML_SYCL_ENABLE_FLASH_ATTN | 1 (default) or 0| Enable Flash-Attention. It can reduce memory usage. The performance impact depends on the LLM.|
 | GGML_SYCL_DISABLE_OPT | 0 (default) or 1 | Disable optimize features for Intel GPUs. (Recommended to 1 for intel devices older than Gen 10) |
 | GGML_SYCL_DISABLE_GRAPH | 0 or 1 (default) | Disable running computations through SYCL Graphs feature. Disabled by default because SYCL Graph is still on development, no better performance. |
 | GGML_SYCL_DISABLE_DNN | 0 (default) or 1 | Disable running computations through oneDNN and always use oneMKL. |
 | ZES_ENABLE_SYSMAN | 0 (default) or 1 | Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory.<br>Recommended to use when --split-mode = layer |
 | UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS | 0 (default) or 1 | Support malloc device memory more than 4GB.|
 
+## Design Rule
+
+- Open to all contributors.
+
+- All code change should be useful to user:
+    - Fix bug.
+    - Add new function.
+    - Improve the performance/usage.
+    - Make code be easy to maintain.
+    - ...
 
+- Don't accept the codes of following cases:
+    - Break legacy function.
+    - Reduce the performance of legacy case in default.
+    - Not completed work/the functionality cannot be demonstrated.
+
+- Encourage to use environment variable to control features to be opened/closed.
+    - User can evaluate the feature without rebuild the code.
+    - Recommend the best features to user by setting them be opened as default.
+
+- Design the code based on the published official releases of oneAPI packages: compiler, library, driver, OS kernel.
+
+- Developers need to maintain the code they submit.
 
 ## Known Issues
 
 - `Split-mode:[row]` is not supported.
 
+- Missed the AOT (Ahead-of-Time) in buiding.
+  - Good: build quickly, smaller size of binary file.
+  - Bad: The startup is slow (JIT) in first time, but subsequent performance is unaffected.
+
 ## Q&A
 
 - Error:  `error while loading shared libraries: libsycl.so: cannot open shared object file: No such file or directory`.
@@ -708,7 +749,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512
 
   - Remove **build** folder or try a clean-build.
 
-- I can **not** see `[ext_oneapi_level_zero:gpu]` afer installing the GPU driver on Linux.
+- I can **not** see `[ext_oneapi_level_zero:gpu]` after installing the GPU driver on Linux.
 
   Please double-check with `sudo sycl-ls`.
 
@@ -746,7 +787,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512
   ```
 
 ### **GitHub contribution**:
-Please add the `SYCL :` prefix/tag in issues/PRs titles to help the SYCL contributors to check/address them without delay.
+Please add the `[SYCL]` prefix/tag in issues/PRs titles to help the SYCL contributors to check/address them without delay.
 
 ## TODO
 
diff --git a/docs/backend/VirtGPU.md b/docs/backend/VirtGPU.md
index c81468da13f..72f376dea7b 100644
--- a/docs/backend/VirtGPU.md
+++ b/docs/backend/VirtGPU.md
@@ -152,7 +152,9 @@ Commands and data are serialized using a custom binary protocol with:
 - **VM-specific**: Only works in virtual machines with virtio-gpu support
 - **Host dependency**: Requires properly configured host-side backend
 - **Latency**: Small overhead from VM escaping for each operation
-
+- **Shared-memory size**: with the `libkrun` hypervisor, the RAM + VRAM
+  addressable memory is limited to 64 GB. So the maximum GPU memory
+  will be `64GB - RAM`, regardless of the hardware VRAM size.
 
 * This work is pending upstream changes in the VirglRenderer
   project.
diff --git a/docs/backend/VirtGPU/development.md b/docs/backend/VirtGPU/development.md
index ca2e47772a8..c5c85dfb49f 100644
--- a/docs/backend/VirtGPU/development.md
+++ b/docs/backend/VirtGPU/development.md
@@ -55,7 +55,8 @@ LLAMA_MAC_BUILD=$PWD/build/ggml-virtgpu-backend
 cmake -S . -B $LLAMA_MAC_BUILD \
       -DGGML_NATIVE=OFF \
       -DLLAMA_CURL=ON \
-      -DGGML_REMOTINGBACKEND=ONLY \
+      -DGGML_VIRTGPU=ON \
+      -DGGML_VIRTGPU_BACKEND=ONLY \
       -DGGML_METAL=ON
 
 TARGETS="ggml-metal"
@@ -71,6 +72,7 @@ cmake --build $LLAMA_MAC_BUILD --parallel 8 --target $EXTRA_TARGETS
 ```bash
 # Build virglrenderer with APIR support
 mkdir virglrenderer
+cd virglrenderer
 git clone https://gitlab.freedesktop.org/kpouget/virglrenderer -b main-macos src
 cd src
 
@@ -95,7 +97,7 @@ mkdir llama.cpp
 git clone https://github.com/ggml-org/llama.cpp.git src
 cd src
 
-LLAMA_LINUX_BUILD=$PWD//build-virtgpu
+LLAMA_LINUX_BUILD=$PWD/build-virtgpu
 
 cmake -S . -B $LLAMA_LINUX_BUILD \
       -DGGML_VIRTGPU=ON
diff --git a/docs/backend/ZenDNN.md b/docs/backend/ZenDNN.md
index b57fd97b694..3b1f8242ff3 100644
--- a/docs/backend/ZenDNN.md
+++ b/docs/backend/ZenDNN.md
@@ -22,7 +22,7 @@
 
 **Llama.cpp + ZenDNN**
 
-The llama.cpp ZenDNN backend leverages AMD's optimized matrix multiplication primitives to accelerate inference on AMD CPUs. It utilizes ZenDNN's **LowOHA (Low Overhead Hardware Accelerated)** MatMul operator for efficient GEMM operations with minimal execution overhead, built-in weight caching, and direct access to backend libraries (AOCL BLIS, LibXSMM, OneDNN).
+The llama.cpp ZenDNN backend leverages AMD's optimized matrix multiplication primitives to accelerate inference on AMD CPUs. It utilizes ZenDNN's **LowOHA (Low Overhead Hardware Accelerated)** MatMul operator for efficient GEMM operations with minimal execution overhead, built-in weight caching, and direct access to backend libraries (AOCL DLP, LibXSMM, OneDNN).
 
 For more information about ZenDNN, visit: https://www.amd.com/en/developer/zendnn.html
 
@@ -32,7 +32,7 @@ For more information about ZenDNN, visit: https://www.amd.com/en/developer/zendn
 |:-------:|:-------:|:----------------------------------------------:|
 | Linux   | Support | Ubuntu 20.04, 22.04, 24.04                     |
 
-For the latest list of supported operating systems, see the [ZenDNN Supported OS](https://github.com/amd/ZenDNN/blob/zendnnl/README.md#15-supported-os).
+For the latest list of supported operating systems, see the [ZenDNN Supported OS](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/README.md#15-supported-os).
 
 ## Hardware
 
@@ -44,9 +44,9 @@ ZenDNN is optimized for AMD EPYC™ processors and AMD Ryzen™ processors based
 
 | CPU Family                    | Status  | Notes                              |
 |:-----------------------------:|:-------:|:----------------------------------:|
-| AMD EPYC™ 9005 Series (Turin)| Support | 5th Gen - Zen 5 architecture       |
-| AMD EPYC™ 9004 Series (Genoa)| Support | 4th Gen - Zen 4 architecture       |
-| AMD EPYC™ 7003 Series (Milan)| Support | 3rd Gen - Zen 3 architecture       |
+| AMD EPYC™ 9005 Series (Turin) | Support | 5th Gen - Zen 5 architecture       |
+| AMD EPYC™ 9004 Series (Genoa) | Support | 4th Gen - Zen 4 architecture       |
+| AMD EPYC™ 7003 Series (Milan) | Support | 3rd Gen - Zen 3 architecture       |
 | AMD Ryzen™ AI MAX (Strix Halo)| Support | High-performance mobile processors |
 
 *Notes:*
@@ -61,7 +61,7 @@ The ZenDNN backend currently accelerates **matrix multiplication (MUL_MAT)** ope
 
 | Operation    | Status  | Notes                                          |
 |:-------------|:-------:|:----------------------------------------------:|
-| MUL_MAT      |    ✓    | Accelerated via ZenDNN LowOHA MatMul           |
+| MUL_MAT      | Support | Accelerated via ZenDNN LowOHA MatMul           |
 
 *Note:* Since only MUL_MAT is accelerated, models will benefit most from ZenDNN when matrix multiplications dominate the computational workload (which is typical for transformer-based LLMs).
 
@@ -104,7 +104,6 @@ If you want to build ZenDNN yourself or use a specific version:
 # Clone ZenDNN repository
 git clone https://github.com/amd/ZenDNN.git
 cd ZenDNN
-git checkout zendnnl
 
 # Build and install (requires CMake >= 3.25)
 mkdir build && cd build
@@ -114,7 +113,7 @@ cmake --build . --target all
 
 Default installation path: `ZenDNN/build/install`
 
-**For detailed build instructions**, refer to the [ZenDNN README](https://github.com/amd/ZenDNN/blob/zendnnl/README.md).
+**For detailed build instructions**, refer to the [ZenDNN README](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/README.md).
 
 **Step 2: Build llama.cpp with custom ZenDNN path**
 
@@ -146,8 +145,7 @@ Run llama.cpp server with ZenDNN acceleration:
 
 ```sh
 # Set optimal configuration
-export OMP_NUM_THREADS=64  # Adjust to your CPU core count
-export ZENDNNL_MATMUL_ALGO=2  # Blocked AOCL BLIS for best performance
+export ZENDNNL_MATMUL_ALGO=1    # Blocked AOCL DLP algo for best performance
 
 # Start server
 ./build/bin/llama-server \
@@ -160,62 +158,26 @@ export ZENDNNL_MATMUL_ALGO=2  # Blocked AOCL BLIS for best performance
 Access the server at `http://localhost:8080`.
 
 **Performance tips**:
-- Set `OMP_NUM_THREADS` to match your physical core count
-- Use `ZENDNNL_MATMUL_ALGO=2` for optimal performance
+- Use `ZENDNNL_MATMUL_ALGO=1` for optimal performance
 - For NUMA systems: `numactl --cpunodebind=0 --membind=0 ./build/bin/llama-server ...`
 
 ## Environment Variable
 
-### Build Time
+For environment variables related to ZenDNN, refer to the [ZenDNN Environment Variables Documentation](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/docs/runtime_env.md).
 
-| Name               | Value                                 | Function                                    |
-|--------------------|---------------------------------------|---------------------------------------------|
-| GGML_ZENDNN        | ON/OFF                                | Enable ZenDNN backend support               |
-| ZENDNN_ROOT        | Path to ZenDNN installation           | Set ZenDNN installation directory           |
-| GGML_OPENMP        | ON/OFF (recommended: ON)              | Enable OpenMP for multi-threading           |
+### Performance Optimization
 
-### Runtime
-
-| Name                    | Value                    | Function                                                          |
-|-------------------------|--------------------------|-------------------------------------------------------------------|
-| OMP_NUM_THREADS         | Number (e.g., 64)        | Set number of OpenMP threads (recommended: physical core count)   |
-| ZENDNNL_MATMUL_ALGO     | 0-5                      | Select MatMul backend algorithm (see Performance Optimization)    |
-| ZENDNNL_PROFILE_LOG_LEVEL | 0-4                    | Profiling log level (0=disabled, 4=verbose)                       |
-| ZENDNNL_ENABLE_PROFILER | 0 or 1                   | Enable detailed profiling (1=enabled)                             |
-| ZENDNNL_API_LOG_LEVEL   | 0-4                      | API log level (0=disabled, 4=verbose)                             |
-
-**Example**:
+ZenDNN's LowOHA MatMul supports multiple backend algorithms. For **best performance**, use the **Blocked AOCL DLP** algorithm:
 
 ```sh
-export OMP_NUM_THREADS=64
-export ZENDNNL_MATMUL_ALGO=2  # Use Blocked AOCL BLIS for best performance
-./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "Test" -n 100
+export ZENDNNL_MATMUL_ALGO=1    # Blocked AOCL DLP algo (recommended)
 ```
 
-## Performance Optimization
-
-### MatMul Algorithm Selection
-
-ZenDNN's LowOHA MatMul supports multiple backend algorithms. For **best performance**, use the **Blocked AOCL BLIS** algorithm:
-
-```sh
-export ZENDNNL_MATMUL_ALGO=2  # Blocked AOCL BLIS (recommended)
-```
-
-**Available algorithms**:
-
-| Value | Algorithm              | Description                                    |
-|:-----:|:-----------------------|:----------------------------------------------|
-| 0     | Dynamic Dispatch       | Automatic backend selection (default)         |
-| 1     | AOCL BLIS              | AOCL BLIS backend                             |
-| 2     | AOCL BLIS Blocked      | **Blocked AOCL BLIS (recommended)**           |
-| 3     | OneDNN                 | OneDNN backend                                |
-| 4     | OneDNN Blocked         | Blocked OneDNN                                |
-| 5     | LibXSMM                | LibXSMM backend                               |
+For more details on available algorithms, see the [ZenDNN MatMul Algorithm Documentation](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/docs/runtime_env.md#algorithm-details).
 
 ### Profiling and Debugging
 
-For detailed profiling and logging options, refer to the [ZenDNN Logging Documentation](https://github.com/amd/ZenDNN/blob/zendnnl/docs/logging.md).
+For detailed profiling and logging options, refer to the [ZenDNN Logging Documentation](https://github.com/amd/ZenDNN/blob/a18adf8c605fb5f5e52cefd7eda08a7b18febbaf/docs/logging.md).
 
 ## Known Issues
 
@@ -245,10 +207,9 @@ A: Currently, ZenDNN primarily supports FP32 and BF16 data types. Quantized mode
 
 A: Ensure:
 1. You're using an AMD EPYC or Ryzen processor (Zen 2 or newer)
-2. `OMP_NUM_THREADS` is set appropriately (physical core count)
-3. `ZENDNNL_MATMUL_ALGO=2` is set for best performance (Blocked AOCL BLIS)
-4. You're using a sufficiently large model (small models may not benefit as much)
-5. Enable profiling to verify ZenDNN MatMul is being called
+2. `ZENDNNL_MATMUL_ALGO=1` is set for best performance (Blocked AOCL DLP)
+3. You're using a sufficiently large model (small models may not benefit as much)
+4. Enable profiling to verify ZenDNN MatMul is being called
 
 ### **GitHub Contribution**:
 Please add the **[ZenDNN]** prefix/tag in issues/PRs titles to help the ZenDNN-team check/address them without delay.
diff --git a/docs/backend/snapdragon/README.md b/docs/backend/snapdragon/README.md
index 8e1f37b2062..0783555ce8a 100644
--- a/docs/backend/snapdragon/README.md
+++ b/docs/backend/snapdragon/README.md
@@ -35,7 +35,7 @@ Adapt below build commands accordingly.
 Let's build llama.cpp with CPU, OpenCL, and Hexagon backends via CMake presets:
 
 ```
-[d]/workspace> cp docs/backend/hexagon/CMakeUserPresets.json .
+[d]/workspace> cp docs/backend/snapdragon/CMakeUserPresets.json .
 
 [d]/workspace> cmake --preset arm64-android-snapdragon-release -B build-snapdragon
 Preset CMake variables:
@@ -116,7 +116,7 @@ Llama-3.2-1B-Instruct-Q4_0.gguf: 1 file pushed, 0 skipped. 38.3 MB/s (773025920
 ### Windows
 
 All artifacts are already installed in the `pkg-snapdragon` folder.
-To run, adapt below instructions to use Powershell scrits in `scripts/snapdragon/windows`.
+To run, adapt below instructions to use Powershell scripts in `scripts/snapdragon/windows`.
 
 ## How to Run
 
diff --git a/docs/backend/snapdragon/windows.md b/docs/backend/snapdragon/windows.md
index e9346ccadf1..6307e1b69f1 100644
--- a/docs/backend/snapdragon/windows.md
+++ b/docs/backend/snapdragon/windows.md
@@ -144,7 +144,7 @@ Once the build is complete HTP ops libraries will be installed like this
 -a----         1/22/2026   6:01 PM           4139 libggml-htp.cat
 ```
 
-The .cat file, the signature and proper certicate installation can be verified with
+The .cat file, the signature and proper certificate installation can be verified with
 
 ```
 > signtool.exe verify /v /pa .\pkg-snapdragon\lib\libggml-htp.cat
diff --git a/docs/build-s390x.md b/docs/build-s390x.md
index 67df4e2eac1..4568d5010f6 100644
--- a/docs/build-s390x.md
+++ b/docs/build-s390x.md
@@ -242,10 +242,10 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
 |------------|-------------|------|-------|
 | FP32       | ✅           | ✅    | ❓     |
 | FP16       | ✅           | ✅    | ❓     |
-| BF16       | 🚫           | ✅    | ❓     |
+| BF16       | ✅           | ✅    | ❓     |
 | Q4_0       | ✅           | ❓    | ❓     |
 | Q4_1       | ✅           | ❓    | ❓     |
-| MXFP4      | 🚫           | ❓    | ❓     |
+| MXFP4      | ✅           | ❓    | ❓     |
 | Q5_0       | ✅           | ❓    | ❓     |
 | Q5_1       | ✅           | ❓    | ❓     |
 | Q8_0       | ✅           | ❓    | ❓     |
@@ -272,4 +272,4 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
 -   🚫 - acceleration unavailable, will still run using scalar implementation
 -   ❓ - acceleration unknown, please contribute if you can test it yourself
 
-Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on Sep 7, 2025.
+Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on Feb 15, 2026.
diff --git a/docs/build.md b/docs/build.md
index fd447424c78..0717a799ae3 100644
--- a/docs/build.md
+++ b/docs/build.md
@@ -108,7 +108,7 @@ Building through oneAPI compilers will make avx_vnni instruction set available f
 - Using oneAPI docker image:
   If you do not want to source the environment vars and install oneAPI manually, you can also build the code using intel docker container: [oneAPI-basekit](https://hub.docker.com/r/intel/oneapi-basekit). Then, you can use the commands given above.
 
-Check [Optimizing and Running LLaMA2 on Intel® CPU](https://www.intel.com/content/www/us/en/content-details/791610/optimizing-and-running-llama2-on-intel-cpu.html) for more information.
+Check [Optimizing and Running LLaMA2 on Intel® CPU](https://builders.intel.com/solutionslibrary/optimizing-and-running-llama2-on-intel-cpu) for more information.
 
 ### Other BLAS libraries
 
@@ -595,11 +595,17 @@ You can verify that KleidiAI is being used by running
 ```bash
 ./build/bin/llama-cli -m PATH_TO_MODEL -p "What is a car?"
 ```
-If KleidiAI is enabled, the ouput will contain a line similar to:
+If KleidiAI is enabled, the output will contain a line similar to:
 ```
 load_tensors: CPU_KLEIDIAI model buffer size =  3474.00 MiB
 ```
-KleidiAI's microkernels implement optimized tensor operations using Arm CPU features such as dotprod, int8mm and SME. llama.cpp selects the most efficient kernel based on runtime CPU feature detection. However, on platforms that support SME, you must manually enable SME microkernels by setting the environment variable `GGML_KLEIDIAI_SME=1`.
+KleidiAI’s microkernels implement optimized tensor operations using Arm CPU features such as dotprod, int8mm, SVE, and SME. Llama.cpp selects the most efficient kernels at runtime based on detected CPU capabilities.
+On CPUs that support SME, SME microkernels are enabled automatically using runtime detection.
+The environment variable GGML_KLEIDIAI_SME can be used to control SME behavior:
+- Not set: enable SME automatically if supported and detected.
+- 0: disable SME.
+- <n> > 0: enable SME and assume <n> available SME units (override auto detection).
+If SME is not supported by the CPU, SME microkernels are always disabled.
 
 Depending on your build target, other higher priority backends may be enabled by default. To ensure the CPU backend is used, you must disable the higher priority backends either at compile time, e.g. -DGGML_METAL=OFF, or during run-time using the command line option `--device none`.
 
@@ -699,7 +705,7 @@ To read documentation for how to build on Android, [click here](./android.md)
 
 ## WebGPU [In Progress]
 
-The WebGPU backend relies on [Dawn](https://dawn.googlesource.com/dawn). Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/docs/quickstart-cmake.md) to install Dawn locally so that llama.cpp can find it using CMake. The currrent implementation is up-to-date with Dawn commit `bed1a61`.
+The WebGPU backend relies on [Dawn](https://dawn.googlesource.com/dawn). Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/docs/quickstart-cmake.md) to install Dawn locally so that llama.cpp can find it using CMake. The current implementation is up-to-date with Dawn commit `bed1a61`.
 
 In the llama.cpp directory, build with CMake:
 
diff --git a/docs/development/parsing.md b/docs/development/parsing.md
index dbb989bf08e..a41057db2b8 100644
--- a/docs/development/parsing.md
+++ b/docs/development/parsing.md
@@ -22,7 +22,7 @@ Below is a contrived example demonstrating how to use the PEG parser to parse
 output from a model that emits arguments as JSON.
 
 ```cpp
-auto parser = build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) {
+auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
     // Build a choice of all available tools
     auto tool_choice = p.choice();
     for (const auto & tool : tools) {
@@ -212,7 +212,7 @@ mapper.from_ast(ctx.ast, result);
 
 ### Native
 
-The `common_chat_peg_native_builder` builds a `native` parser suitable for
+The `common_chat_peg_builder` builds a `native` parser suitable for
 models that emit tool arguments as a direct JSON object.
 
 - **`reasoning(p)`** - Tag node for `reasoning_content`
@@ -225,7 +225,7 @@ models that emit tool arguments as a direct JSON object.
 - **`tool_args(p)`** - Tag the tool arguments
 
 ```cpp
-build_chat_peg_native_parser([&](common_chat_peg_native_parser & p) {
+build_chat_peg_parser([&](common_chat_peg_builder & p) {
     auto get_weather_tool = p.tool(p.sequence({
         p.tool_open(p.literal("{")),
         p.json_member("name", "\"" + p.tool_name(p.literal("get_weather")) + "\""),
@@ -246,7 +246,7 @@ build_chat_peg_native_parser([&](common_chat_peg_native_parser & p) {
 
 ### Constructed
 
-The `common_chat_peg_constructed_builder` builds a `constructed` parser
+The `common_chat_peg_builder` builds a `constructed` parser
 suitable for models that emit tool arguments as separate entities, such as XML
 tags.
 
@@ -264,7 +264,7 @@ tags.
 - **`tool_arg_json_value(p)`** - Tag JSON value for the argument
 
 ```cpp
-build_chat_peg_constructed_parser([&](common_chat_peg_constructed_builder & p) {
+build_chat_peg_parser([&](common_chat_peg_builder & p) {
     auto location_arg = p.tool_arg(
         p.tool_arg_open("<parameter name=\"" + p.tool_arg_name(p.literal("location")) + "\">"),
         p.tool_arg_string_value(p.until("</parameter>")),
diff --git a/docs/multimodal/MobileVLM.md b/docs/multimodal/MobileVLM.md
index 3bfab9f3d22..6c17dbf902e 100644
--- a/docs/multimodal/MobileVLM.md
+++ b/docs/multimodal/MobileVLM.md
@@ -281,7 +281,7 @@ llama_print_timings:       total time =    5990.25 ms /   202 tokens
 
 Just the same as above.
 
-**ouput**
+**output**
 ```sh
 encode_image_with_clip: image embedding created: 144 tokens
 
@@ -305,7 +305,7 @@ llama_print_timings:       total time =   15513.95 ms /   412 tokens
 ## Run on Intel(R) Core(TM) Ultra7 115H
 ### operation system
 Windows11
-### comiple
+### compile
 ```sh
 make -j32
 ```
diff --git a/docs/ops.md b/docs/ops.md
index 5754b0a96cd..f914c2b7d20 100644
--- a/docs/ops.md
+++ b/docs/ops.md
@@ -23,30 +23,31 @@ Legend:
 |                           ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                          ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
 |                             CEIL | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                            CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                           CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
+|                            CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ |
+|                           CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                             CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
 |                          CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
 |                       CONV_2D_DW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
 |                          CONV_3D | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |                CONV_TRANSPOSE_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                CONV_TRANSPOSE_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                              COS | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ |
+|                              COS | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                      COUNT_EQUAL | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                              CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
 |               CROSS_ENTROPY_LOSS | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |          CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |                           CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
-|                             DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
+|                             DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
 |                    DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                              DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                              DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                              ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ |
+|                              ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                              EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                            EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ |
 |                             FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
-|                   FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ |
+|                   FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
 |                            FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
+|                  GATED_DELTA_NET | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |                GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
 |                            GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                        GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
@@ -54,7 +55,7 @@ Legend:
 |                             GELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                         GELU_ERF | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                       GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                         GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
+|                         GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
 |                    GET_ROWS_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |                       GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                      HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
@@ -63,7 +64,7 @@ Legend:
 |                        IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
 |                          L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                       LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ |
-|                              LOG | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
+|                              LOG | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ |
 |                             MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                              MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                          MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
@@ -75,34 +76,34 @@ Legend:
 |                         OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | 🟡 |
 |                              PAD | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
 |                   PAD_REFLECT_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
-|                          POOL_1D | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
+|                          POOL_1D | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |                          POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                             RELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                           REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ❌ | ❌ | ❌ |
+|                           REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                      REPEAT_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                         RMS_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                    RMS_NORM_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                             ROLL | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                             ROPE | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                        ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
+|                        ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            ROUND | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                        RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                        RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                              SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | ❌ |
+|                              SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ |
 |                         SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
-|                              SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ |
+|                              SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                          SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                             SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                        SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                              SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ |
+|                              SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                         SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                         SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                    SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ |
-|                        SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ |
-|                              SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ | ❌ | ❌ |
-|                             SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ | ❌ | ❌ |
+|                        SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
+|                              SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
+|                             SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                         SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                         SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ |
 |                             STEP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
@@ -116,5 +117,5 @@ Legend:
 |                            TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                              TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
-|                          UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | ❌ |
-|                            XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ |
+|                          UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ |
+|                            XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
diff --git a/docs/ops/CPU.csv b/docs/ops/CPU.csv
index fef3bbce709..3838502e16a 100644
--- a/docs/ops/CPU.csv
+++ b/docs/ops/CPU.csv
@@ -878,6 +878,54 @@
 "CPU","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","CPU"
 "CPU","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","CPU"
 "CPU","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","1","yes","CPU"
+"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","1","yes","CPU"
 "CPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","CPU"
 "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","CPU"
 "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","CPU"
@@ -965,6 +1013,7 @@
 "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","CPU"
 "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","CPU"
 "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","CPU"
+"CPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","CPU"
 "CPU","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","CPU"
 "CPU","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","CPU"
 "CPU","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","CPU"
@@ -5008,12 +5057,18 @@
 "CPU","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","CPU"
 "CPU","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","CPU"
-"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","1","yes","CPU"
-"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","1","yes","CPU"
-"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","1","yes","CPU"
-"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","1","yes","CPU"
-"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","1","yes","CPU"
-"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","1","yes","CPU"
+"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","CPU"
+"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","CPU"
+"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","CPU"
+"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","CPU"
+"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","CPU"
+"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","CPU"
+"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","CPU"
+"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","CPU"
+"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","CPU"
+"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","CPU"
+"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","CPU"
+"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","CPU"
 "CPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","CPU"
 "CPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","CPU"
 "CPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","CPU"
@@ -5459,230 +5514,366 @@
 "CPU","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","CPU"
 "CPU","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","CPU"
 "CPU","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
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-"CPU","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","CPU"
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-"CPU","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","CPU"
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-"CPU","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
-"CPU","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU"
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+"CPU","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
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+"CPU","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
+"CPU","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","CPU"
 "CPU","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
 "CPU","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","CPU"
@@ -5695,45 +5886,103 @@
 "CPU","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","1","yes","CPU"
 "CPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","CPU"
 "CPU","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","1","yes","CPU"
-"CPU","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","CPU"
+"CPU","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","CPU"
+"CPU","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=1","support","1","yes","CPU"
+"CPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","1","yes","CPU"
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@@ -6592,7 +6841,36 @@
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@@ -8667,12 +8945,19 @@
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 "CPU","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","SQRT","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","LOG","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","SIN","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","COS","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","COS","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","CPU"
+"CPU","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","CPU"
 "CPU","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","CPU"
+"CPU","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","CPU"
 "CPU","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
 "CPU","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","CPU"
@@ -8693,12 +8978,19 @@
 "CPU","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","CPU"
 "CPU","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","CPU"
 "CPU","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","COS","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
+"CPU","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","CPU"
+"CPU","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","CPU"
 "CPU","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","CPU"
+"CPU","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","CPU"
 "CPU","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
 "CPU","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU"
 "CPU","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","CPU"
@@ -8917,6 +9209,11 @@
 "CPU","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","CPU"
 "CPU","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU"
 "CPU","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU"
+"CPU","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU"
+"CPU","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU"
+"CPU","SOFT_MAX","type=f32,ne=[200000,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","CPU"
+"CPU","SOFT_MAX","type=f32,ne=[200000,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","CPU"
+"CPU","SOFT_MAX","type=f32,ne=[643251,3,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","CPU"
 "CPU","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","CPU"
 "CPU","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","CPU"
 "CPU","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","1","yes","CPU"
@@ -8969,6 +9266,7 @@
 "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
@@ -8978,6 +9276,7 @@
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
@@ -8988,11 +9287,13 @@
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
@@ -9002,6 +9303,7 @@
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
@@ -9012,11 +9314,13 @@
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
@@ -9026,6 +9330,7 @@
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
@@ -9036,11 +9341,13 @@
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
@@ -9050,6 +9357,7 @@
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
@@ -9060,6 +9368,7 @@
 "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
@@ -9185,6 +9494,7 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
@@ -9194,6 +9504,7 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
@@ -9204,11 +9515,13 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
@@ -9218,6 +9531,7 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
@@ -9228,11 +9542,13 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
@@ -9242,6 +9558,7 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
@@ -9252,11 +9569,13 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
@@ -9266,6 +9585,7 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
@@ -9276,6 +9596,7 @@
 "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
+"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU"
@@ -9398,25 +9719,65 @@
 "CPU","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
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+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
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+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
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+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
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+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","CPU"
 "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
+"CPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","CPU"
 "CPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","CPU"
 "CPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","CPU"
 "CPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","CPU"
@@ -9850,51 +10211,62 @@
 "CPU","TOP_K","type=f32,ne=[2049,2,1,3],k=15,ties=0","support","1","yes","CPU"
 "CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=0","support","1","yes","CPU"
 "CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=1","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest,flags=none","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest,flags=none","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest","support","1","yes","CPU"
 "CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","1","yes","CPU"
 "CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear","support","1","yes","CPU"
 "CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","1","yes","CPU"
 "CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=none","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic,flags=none","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=0","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=1","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=align_corners","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear,flags=align_corners","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear,flags=align_corners","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=align_corners","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic,flags=align_corners","support","1","yes","CPU"
-"CPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic,flags=align_corners","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","1","yes","CPU"
+"CPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
-"CPU","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","1","yes","CPU"
-"CPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","CPU"
-"CPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","CPU"
-"CPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","CPU"
 "CPU","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
-"CPU","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","CPU"
-"CPU","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","CPU"
 "CPU","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","CPU"
+"CPU","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","CPU"
+"CPU","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","CPU"
+"CPU","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","CPU"
+"CPU","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","CPU"
+"CPU","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","CPU"
+"CPU","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","CPU"
-"CPU","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","CPU"
 "CPU","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","1","yes","CPU"
+"CPU","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","CPU"
+"CPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","CPU"
+"CPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","CPU"
+"CPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","CPU"
+"CPU","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","1","yes","CPU"
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@@ -9916,6 +10288,7 @@
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 "CPU","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","CPU"
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 "CPU","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","CPU"
@@ -9934,1137 +10307,260 @@
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+"CPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11080,11 +10576,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
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 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11115,16 +10611,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11140,11 +10636,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11175,16 +10671,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11200,11 +10696,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11235,16 +10731,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11260,11 +10756,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11295,16 +10791,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11320,11 +10816,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11340,11 +10836,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11360,11 +10856,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11380,11 +10876,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11400,11 +10896,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11420,11 +10916,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11440,11 +10936,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11460,11 +10956,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11480,11 +10976,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11515,16 +11011,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11540,11 +11036,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11575,16 +11071,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11600,11 +11096,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11635,16 +11131,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11660,11 +11156,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11695,16 +11191,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11720,11 +11216,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11740,11 +11236,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11760,11 +11256,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11780,11 +11276,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11800,11 +11296,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11820,11 +11316,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11840,11 +11336,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11860,11 +11356,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11880,11 +11376,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11900,11 +11396,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11920,11 +11416,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11940,11 +11436,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11960,11 +11456,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -11980,11 +11476,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12000,11 +11496,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12020,11 +11516,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12040,11 +11536,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12060,11 +11556,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12080,11 +11576,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12100,11 +11596,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12120,11 +11616,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12140,11 +11636,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12160,11 +11656,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12180,11 +11676,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12200,11 +11696,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12235,16 +11731,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12260,11 +11756,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12295,16 +11791,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12320,11 +11816,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12340,11 +11836,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12360,11 +11856,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12380,11 +11876,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12400,11 +11896,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12435,16 +11931,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12460,11 +11956,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12495,16 +11991,16 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12520,11 +12016,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
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+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12540,11 +12036,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12560,11 +12056,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12580,11 +12076,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12600,11 +12096,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12620,11 +12116,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12640,11 +12136,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12660,11 +12156,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12680,11 +12176,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12700,11 +12196,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
@@ -12720,11 +12216,11 @@
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
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-"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
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@@ -12740,6014 +12236,1371 @@
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-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU"
-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU"
+"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU"
 "CPU","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
 "CPU","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","1","yes","CPU"
 "CPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
 "CPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","1","yes","CPU"
 "CPU","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
 "CPU","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","CPU"
+"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","CPU"
diff --git a/docs/ops/SYCL.csv b/docs/ops/SYCL.csv
index c1622cc6f0e..03bfacfc9e0 100644
--- a/docs/ops/SYCL.csv
+++ b/docs/ops/SYCL.csv
@@ -33,14 +33,14 @@
 "SYCL0","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL"
 "SYCL0","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL"
 "SYCL0","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL"
-"SYCL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL"
-"SYCL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL"
+"SYCL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL"
+"SYCL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL"
 "SYCL0","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL"
 "SYCL0","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL"
-"SYCL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL"
-"SYCL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL"
-"SYCL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL"
-"SYCL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL"
+"SYCL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL"
+"SYCL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL"
+"SYCL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL"
+"SYCL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL"
 "SYCL0","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL"
 "SYCL0","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL"
 "SYCL0","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL"
@@ -5057,12 +5057,18 @@
 "SYCL0","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","SYCL"
 "SYCL0","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","SYCL"
-"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","1","yes","SYCL"
-"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","1","yes","SYCL"
-"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","1","yes","SYCL"
-"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","SYCL"
-"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","SYCL"
-"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","SYCL"
+"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","SYCL"
+"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","SYCL"
+"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","SYCL"
+"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","SYCL"
+"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","0","no","SYCL"
+"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","0","no","SYCL"
+"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","0","no","SYCL"
+"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","0","no","SYCL"
+"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","0","no","SYCL"
+"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","0","no","SYCL"
 "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL"
 "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL"
 "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","SYCL"
@@ -5508,230 +5514,366 @@
 "SYCL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","SYCL"
 "SYCL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","SYCL"
 "SYCL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
-"SYCL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
+"SYCL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL"
 "SYCL0","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL"
 "SYCL0","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","SYCL"
@@ -5744,77 +5886,103 @@
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000000","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000001","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000100","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=1","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","SYCL"
 "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","SYCL"
 "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.100000","support","1","yes","SYCL"
-"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=0","support","1","yes","SYCL"
+"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=1","support","1","yes","SYCL"
 "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[66,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[66,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[66,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[66,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[66,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[66,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[67,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[67,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[67,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[67,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[67,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[67,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[72,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[72,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[72,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[72,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL"
+"SYCL0","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL"
 "SYCL0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL"
 "SYCL0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL"
 "SYCL0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL"
@@ -6673,6 +6841,10 @@
 "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
+"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
+"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=3,k=4,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
+"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL"
+"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,1,2,3],k_v=64,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
@@ -6698,6 +6870,7 @@
 "SYCL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
+"SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL"
 "SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL"
@@ -8760,32 +8933,39 @@
 "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=1","support","1","yes","SYCL"
 "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=32","support","1","yes","SYCL"
 "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=129","support","1","yes","SYCL"
-"SYCL0","SQR","type=f16,ne=[10,5,4,3]","support","1","yes","SYCL"
-"SYCL0","SQRT","type=f16,ne=[10,3,3,2]","support","1","yes","SYCL"
-"SYCL0","LOG","type=f16,ne=[10,5,4,3]","support","1","yes","SYCL"
-"SYCL0","SIN","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL"
-"SYCL0","COS","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL"
-"SYCL0","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","SYCL"
+"SYCL0","SQR","type=f16,ne=[10,5,4,3]","support","0","no","SYCL"
+"SYCL0","SQRT","type=f16,ne=[10,3,3,2]","support","0","no","SYCL"
+"SYCL0","LOG","type=f16,ne=[10,5,4,3]","support","0","no","SYCL"
+"SYCL0","SIN","type=f16,ne=[10,2,2,2]","support","0","no","SYCL"
+"SYCL0","COS","type=f16,ne=[10,2,2,2]","support","0","no","SYCL"
+"SYCL0","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","0","no","SYCL"
 "SYCL0","LEAKY_RELU","type=f16,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","SYCL"
-"SYCL0","FLOOR","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL"
+"SYCL0","FLOOR","type=f16,ne=[10,2,2,2]","support","0","no","SYCL"
 "SYCL0","CEIL","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL"
-"SYCL0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL"
-"SYCL0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL"
-"SYCL0","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","COS","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","SYCL"
+"SYCL0","ROUND","type=f16,ne=[10,2,2,2]","support","0","no","SYCL"
+"SYCL0","TRUNC","type=f16,ne=[10,2,2,2]","support","0","no","SYCL"
+"SYCL0","SQR","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","SQR","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
+"SYCL0","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","SQRT","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
+"SYCL0","LOG","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","LOG","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
+"SYCL0","SIN","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","SIN","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
+"SYCL0","COS","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","COS","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
+"SYCL0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","SYCL"
+"SYCL0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","SYCL"
 "SYCL0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","SYCL"
-"SYCL0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","SYCL"
+"SYCL0","FLOOR","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
 "SYCL0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
 "SYCL0","CEIL","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL"
-"SYCL0","ROUND","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","ROUND","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL"
-"SYCL0","TRUNC","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL"
-"SYCL0","TRUNC","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL"
+"SYCL0","ROUND","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","ROUND","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
+"SYCL0","TRUNC","type=f16,ne=[7,1,5,3]","support","0","no","SYCL"
+"SYCL0","TRUNC","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL"
 "SYCL0","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL"
 "SYCL0","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","SYCL"
 "SYCL0","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL"
@@ -8798,12 +8978,19 @@
 "SYCL0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","SYCL"
 "SYCL0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","SYCL"
 "SYCL0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
+"SYCL0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
+"SYCL0","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
+"SYCL0","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
+"SYCL0","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","COS","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
+"SYCL0","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","SYCL"
+"SYCL0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","SYCL"
 "SYCL0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","SYCL"
+"SYCL0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","SYCL"
 "SYCL0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
 "SYCL0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL"
 "SYCL0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL"
@@ -9303,254 +9490,294 @@
 "SYCL0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
-"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
+"SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
 "SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
 "SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
 "SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
@@ -10005,30 +10232,41 @@
 "SYCL0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","0","no","SYCL"
 "SYCL0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","0","no","SYCL"
 "SYCL0","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL"
-"SYCL0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","SYCL"
 "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","0","no","SYCL"
 "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","0","no","SYCL"
-"SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","0","no","SYCL"
-"SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","0","no","SYCL"
-"SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","0","no","SYCL"
 "SYCL0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL"
-"SYCL0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL"
-"SYCL0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","SYCL"
 "SYCL0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL"
+"SYCL0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL"
+"SYCL0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","SYCL"
+"SYCL0","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","SYCL"
+"SYCL0","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","SYCL"
+"SYCL0","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","SYCL"
+"SYCL0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL"
 "SYCL0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","SYCL"
-"SYCL0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","SYCL"
 "SYCL0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL"
 "SYCL0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","0","no","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","SYCL"
+"SYCL0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","SYCL"
 "SYCL0","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","SYCL"
-"SYCL0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL"
-"SYCL0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","SYCL"
 "SYCL0","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","SYCL"
 "SYCL0","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","SYCL"
-"SYCL0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","SYCL"
+"SYCL0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","SYCL"
+"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","SYCL"
+"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","SYCL"
+"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","1","yes","SYCL"
+"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","1","yes","SYCL"
+"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","SYCL"
 "SYCL0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","SYCL"
 "SYCL0","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","1","yes","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","SYCL"
 "SYCL0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","SYCL"
 "SYCL0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","SYCL"
 "SYCL0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","SYCL"
@@ -10087,8817 +10325,3282 @@
 "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","0","no","SYCL"
 "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","0","no","SYCL"
 "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=0","support","1","yes","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=0","support","1","yes","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=1","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=1","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=0","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=0","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=1","support","0","no","SYCL"
-"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=1","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=0,circular=0","support","1","yes","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=0,circular=0","support","1","yes","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=0,circular=1","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=0,circular=1","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=0","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=0","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=1","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=1","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=0","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=0","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=1","support","0","no","SYCL"
+"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=1","support","0","no","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
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+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL"
-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
+"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL"
 "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","SYCL"
 "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL"
 "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","SYCL"
 "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL"
 "SYCL0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","0","no","SYCL"
 "SYCL0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","0","no","SYCL"
+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","SYCL"
diff --git a/docs/ops/Vulkan.csv b/docs/ops/Vulkan.csv
index d284fcb0f87..e693154968d 100644
--- a/docs/ops/Vulkan.csv
+++ b/docs/ops/Vulkan.csv
@@ -1,16 +1,16 @@
 "backend_name","op_name","op_params","test_mode","supported","error_message","backend_reg_name"
 "Vulkan0","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
-"Vulkan0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan"
-"Vulkan0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan"
+"Vulkan0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
+"Vulkan0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
-"Vulkan0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan"
-"Vulkan0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan"
+"Vulkan0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
+"Vulkan0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
@@ -85,16 +85,16 @@
 "Vulkan0","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Vulkan"
 "Vulkan0","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
-"Vulkan0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan"
-"Vulkan0","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan"
+"Vulkan0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
+"Vulkan0","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","NEG","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","NEG","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","STEP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","STEP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","TANH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","TANH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
-"Vulkan0","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan"
-"Vulkan0","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan"
+"Vulkan0","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
+"Vulkan0","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","RELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
 "Vulkan0","RELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan"
 "Vulkan0","SIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan"
@@ -394,10 +394,10 @@
 "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Vulkan"
 "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Vulkan"
 "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Vulkan"
-"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","Vulkan"
-"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","Vulkan"
-"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","Vulkan"
-"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","Vulkan"
+"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Vulkan"
+"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Vulkan"
+"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Vulkan"
+"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Vulkan"
 "Vulkan0","GET_ROWS_BACK","type=f32,n=1,m=8,r=2,b=1,v=0","support","0","no","Vulkan"
 "Vulkan0","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=0","support","0","no","Vulkan"
 "Vulkan0","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=1","support","0","no","Vulkan"
@@ -878,6 +878,54 @@
 "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Vulkan"
 "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Vulkan"
 "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","Vulkan"
+"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","Vulkan"
 "Vulkan0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan"
 "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan"
 "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan"
@@ -965,6 +1013,7 @@
 "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan"
 "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan"
 "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan"
+"Vulkan0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan"
 "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan"
 "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan"
 "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan"
@@ -4964,6 +5013,7 @@
 "Vulkan0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Vulkan"
 "Vulkan0","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","Vulkan"
 "Vulkan0","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","Vulkan"
+"Vulkan0","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","Vulkan"
 "Vulkan0","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","Vulkan"
 "Vulkan0","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","Vulkan"
 "Vulkan0","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","Vulkan"
@@ -5007,12 +5057,18 @@
 "Vulkan0","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Vulkan"
 "Vulkan0","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","Vulkan"
-"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","Vulkan"
-"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","Vulkan"
-"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","Vulkan"
-"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","Vulkan"
-"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","Vulkan"
-"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","Vulkan"
+"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Vulkan"
 "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Vulkan"
 "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Vulkan"
@@ -5458,230 +5514,366 @@
 "Vulkan0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Vulkan"
 "Vulkan0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Vulkan"
 "Vulkan0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
-"Vulkan0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
+"Vulkan0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan"
 "Vulkan0","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","Vulkan"
@@ -5694,45 +5886,103 @@
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","0","no","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","1","yes","Vulkan"
-"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=1","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000","support","0","no","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000000","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=1","support","1","yes","Vulkan"
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","0","no","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","1","yes","Vulkan"
-"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=1","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001","support","0","no","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000001","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=1","support","1","yes","Vulkan"
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","0","no","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","1","yes","Vulkan"
-"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=1","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100","support","0","no","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000100","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=1","support","1","yes","Vulkan"
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","0","no","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","1","yes","Vulkan"
-"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=1","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000","support","0","no","Vulkan"
+"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.100000","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=0","support","1","yes","Vulkan"
+"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=1","support","1","yes","Vulkan"
 "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","Vulkan"
-"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[66,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[66,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[67,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[67,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","Vulkan"
 "Vulkan0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Vulkan"
 "Vulkan0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Vulkan"
@@ -6591,7 +6841,36 @@
 "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan"
 "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan"
 "Vulkan0","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=3,k=4,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,1,2,3],k_v=64,o=1","support","1","yes","Vulkan"
 "Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q5_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q6_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq2_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq1_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq1_m,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
+"Vulkan0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan"
 "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan"
 "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Vulkan"
 "Vulkan0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan"
@@ -8666,12 +8945,19 @@
 "Vulkan0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","Vulkan"
 "Vulkan0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","Vulkan"
 "Vulkan0","SQR","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan"
+"Vulkan0","SQR","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan"
 "Vulkan0","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan"
+"Vulkan0","SQRT","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan"
 "Vulkan0","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan"
+"Vulkan0","LOG","type=f16,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SIN","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan"
+"Vulkan0","SIN","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan"
 "Vulkan0","COS","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan"
+"Vulkan0","COS","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan"
 "Vulkan0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","Vulkan"
+"Vulkan0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","Vulkan"
 "Vulkan0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","Vulkan"
+"Vulkan0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","Vulkan"
 "Vulkan0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan"
 "Vulkan0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan"
@@ -8692,12 +8978,19 @@
 "Vulkan0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","Vulkan"
 "Vulkan0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","Vulkan"
 "Vulkan0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
+"Vulkan0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
+"Vulkan0","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
+"Vulkan0","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
+"Vulkan0","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","COS","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
+"Vulkan0","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","Vulkan"
+"Vulkan0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","Vulkan"
 "Vulkan0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","Vulkan"
+"Vulkan0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","Vulkan"
 "Vulkan0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
 "Vulkan0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan"
 "Vulkan0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan"
@@ -8916,6 +9209,11 @@
 "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SOFT_MAX","type=f32,ne=[200000,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SOFT_MAX","type=f32,ne=[200000,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","SOFT_MAX","type=f32,ne=[643251,3,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan"
 "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan"
 "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan"
@@ -8968,6 +9266,7 @@
 "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
@@ -8977,6 +9276,7 @@
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
@@ -8987,11 +9287,13 @@
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9001,6 +9303,7 @@
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9011,11 +9314,13 @@
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9025,6 +9330,7 @@
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9035,11 +9341,13 @@
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9049,6 +9357,7 @@
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9059,6 +9368,7 @@
 "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9184,6 +9494,7 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9193,6 +9504,7 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9203,11 +9515,13 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9217,6 +9531,7 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9227,11 +9542,13 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9241,6 +9558,7 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9251,11 +9569,13 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9265,6 +9585,7 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
@@ -9275,6 +9596,7 @@
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
+"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan"
@@ -9397,25 +9719,65 @@
 "Vulkan0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
+"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan"
 "Vulkan0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Vulkan"
 "Vulkan0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Vulkan"
 "Vulkan0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Vulkan"
@@ -9542,357 +9904,369 @@
 "Vulkan0","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","Vulkan"
 "Vulkan0","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","Vulkan"
 "Vulkan0","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[12,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=100","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=500","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=1023","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=9999","support","0","no","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=1","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=2","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=3","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=7","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=15","support","1","yes","Vulkan"
-"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=15","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[12,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16395,1,2,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32768,1,1,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[32779,1,2,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65536,1,1,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[65547,1,2,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131072,1,1,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[131083,1,2,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262144,1,1,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[262155,1,2,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=100,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=500,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=1023,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524288,1,1,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[524299,1,2,1],k=9999,ties=0","support","0","no","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=1,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=2,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=3,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=7,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=15,ties=0","support","1","yes","Vulkan"
+"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=15,ties=0","support","1","yes","Vulkan"
 "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=0","support","1","yes","Vulkan"
 "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=1","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest,flags=none","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest,flags=none","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest","support","1","yes","Vulkan"
 "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","1","yes","Vulkan"
 "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear","support","1","yes","Vulkan"
 "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","1","yes","Vulkan"
 "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=none","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic,flags=none","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=0","support","0","no","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=1","support","0","no","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=align_corners","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear,flags=align_corners","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear,flags=align_corners","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=align_corners","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic,flags=align_corners","support","1","yes","Vulkan"
-"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic,flags=align_corners","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","1","yes","Vulkan"
+"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
-"Vulkan0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","1","yes","Vulkan"
-"Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","Vulkan"
-"Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","Vulkan"
-"Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","Vulkan"
 "Vulkan0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
-"Vulkan0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","Vulkan"
 "Vulkan0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan"
+"Vulkan0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan"
+"Vulkan0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Vulkan"
+"Vulkan0","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","Vulkan"
+"Vulkan0","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","Vulkan"
+"Vulkan0","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","Vulkan"
+"Vulkan0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Vulkan"
-"Vulkan0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","Vulkan"
+"Vulkan0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","Vulkan"
 "Vulkan0","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","Vulkan"
-"Vulkan0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan"
-"Vulkan0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Vulkan"
 "Vulkan0","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","Vulkan"
 "Vulkan0","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","Vulkan"
-"Vulkan0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","Vulkan"
-"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1","support","1","yes","Vulkan"
-"Vulkan0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0","support","1","yes","Vulkan"
+"Vulkan0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","Vulkan"
+"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","Vulkan"
+"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","Vulkan"
+"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","1","yes","Vulkan"
+"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","1","yes","Vulkan"
+"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","Vulkan"
 "Vulkan0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","0","no","Vulkan"
 "Vulkan0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","0","no","Vulkan"
 "Vulkan0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","Vulkan"
@@ -9903,6 +10277,7 @@
 "Vulkan0","CUMSUM","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[127,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[128,5,4,3]","support","1","yes","Vulkan"
+"Vulkan0","CUMSUM","type=f32,ne=[128,128,4,4]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[255,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[256,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[511,5,4,3]","support","1","yes","Vulkan"
@@ -9913,7 +10288,8 @@
 "Vulkan0","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","Vulkan"
 "Vulkan0","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","Vulkan"
-"Vulkan0","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan"
+"Vulkan0","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","Vulkan"
+"Vulkan0","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","Vulkan"
 "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","Vulkan"
 "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","Vulkan"
@@ -9922,1137 +10298,269 @@
 "Vulkan0","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","1","yes","Vulkan"
 "Vulkan0","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","1","yes","Vulkan"
 "Vulkan0","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","1","yes","Vulkan"
+"Vulkan0","DIAG","type=f32,ne=[10,1,4,3]","support","1","yes","Vulkan"
+"Vulkan0","DIAG","type=f32,ne=[79,1,19,13]","support","1","yes","Vulkan"
+"Vulkan0","DIAG","type=f32,ne=[256,1,8,16]","support","1","yes","Vulkan"
 "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","1","yes","Vulkan"
 "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","1","yes","Vulkan"
 "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","1","yes","Vulkan"
 "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","1","yes","Vulkan"
 "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","1","yes","Vulkan"
 "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","1","yes","Vulkan"
-"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","0","no","Vulkan"
-"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0","support","1","yes","Vulkan"
-"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0","support","1","yes","Vulkan"
-"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1","support","1","yes","Vulkan"
-"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,2],ne_rhs=[32,128,4,2]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[80,80,2,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[79,80,2,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[81,80,2,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[80,80,8,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[79,80,8,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[81,80,8,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[84,84,4,4],ne_rhs=[32,84,4,4]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[95,95,8,8],ne_rhs=[40,95,8,8]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[31,128,4,4]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[32,128,4,4]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,3,4],ne_rhs=[32,128,3,4]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","1","yes","Vulkan"
+"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=0,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=0,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=0,circular=1","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=0,circular=1","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=1","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=1","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=0","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=1","support","1","yes","Vulkan"
+"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=1","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11068,11 +10576,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11103,16 +10611,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11128,11 +10636,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11163,16 +10671,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11188,11 +10696,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11223,16 +10731,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11248,11 +10756,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11283,16 +10791,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11308,11 +10816,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11328,11 +10836,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11348,11 +10856,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11368,11 +10876,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11388,11 +10896,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11408,11 +10916,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11428,11 +10936,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11448,11 +10956,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11468,11 +10976,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11503,16 +11011,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11528,11 +11036,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11563,16 +11071,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11588,11 +11096,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11623,16 +11131,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11648,11 +11156,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -11683,16 +11191,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11708,11 +11216,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11728,11 +11236,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11748,11 +11256,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11768,11 +11276,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11788,11 +11296,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11808,11 +11316,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11828,11 +11336,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11848,11 +11356,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11868,11 +11376,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11888,11 +11396,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11908,11 +11416,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11928,11 +11436,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11948,11 +11456,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11968,11 +11476,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -11988,11 +11496,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12008,11 +11516,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12028,11 +11536,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12048,11 +11556,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12068,11 +11576,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12088,11 +11596,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12108,11 +11616,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12128,11 +11636,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12148,11 +11656,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12168,11 +11676,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12188,11 +11696,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -12223,16 +11731,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12248,11 +11756,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -12283,16 +11791,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12308,11 +11816,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12328,11 +11836,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12348,11 +11856,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12368,11 +11876,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12388,11 +11896,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -12423,16 +11931,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12448,11 +11956,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
@@ -12483,16 +11991,16 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12508,11 +12016,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12528,11 +12036,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12548,11 +12056,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12568,11 +12076,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12588,11 +12096,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12608,11 +12116,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12628,11 +12136,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12648,11 +12156,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12668,11 +12176,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12688,11 +12196,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12708,11 +12216,11 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
@@ -12728,6014 +12236,1371 @@
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan"
+"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan"
 "Vulkan0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan"
 "Vulkan0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","Vulkan"
 "Vulkan0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan"
 "Vulkan0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","Vulkan"
 "Vulkan0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
 "Vulkan0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","0","no","Vulkan"
+"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","Vulkan"
diff --git a/docs/ops/WebGPU.csv b/docs/ops/WebGPU.csv
index 72ebea2cd71..b7761b9dd3f 100644
--- a/docs/ops/WebGPU.csv
+++ b/docs/ops/WebGPU.csv
@@ -5023,20 +5023,20 @@
 "WebGPU: WebGPU","ARGMAX","type=f32,ne=[1024,12,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGMAX","type=f32,ne=[2000,10,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGMAX","type=f32,ne=[5438,3,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,2,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,2]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,1],nr=[2,1,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,1],nr=[1,1,1,2]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[2,1,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,2,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,2,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,2]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,3],nr=[2,1,1,1]","support","0","no","WebGPU"
-"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,3],nr=[1,1,1,2]","support","0","no","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,2,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,2,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,2,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,1],v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[2,1,1,1],v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,2,1,1],v=0","support","0","no","WebGPU"
@@ -8760,22 +8760,14 @@
 "WebGPU: WebGPU","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=32","support","0","no","WebGPU"
 "WebGPU: WebGPU","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=129","support","0","no","WebGPU"
-"WebGPU: WebGPU","SQR","type=f16,ne=[10,5,4,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f16,ne=[10,3,3,2]","support","0","no","WebGPU"
 "WebGPU: WebGPU","LOG","type=f16,ne=[10,5,4,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f16,ne=[10,2,2,2]","support","0","no","WebGPU"
-"WebGPU: WebGPU","COS","type=f16,ne=[10,2,2,2]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LEAKY_RELU","type=f16,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CEIL","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f16,ne=[7,1,5,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f16,ne=[7,1,5,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","COS","type=f16,ne=[7,1,5,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
@@ -8786,22 +8778,14 @@
 "WebGPU: WebGPU","ROUND","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f32,ne=[10,3,3,2]","support","0","no","WebGPU"
 "WebGPU: WebGPU","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f32,ne=[10,2,2,2]","support","0","no","WebGPU"
-"WebGPU: WebGPU","COS","type=f32,ne=[10,2,2,2]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CLAMP","type=f32,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CEIL","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SQR","type=f32,ne=[7,1,5,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","SQRT","type=f32,ne=[7,1,5,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SIN","type=f32,ne=[7,1,5,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","COS","type=f32,ne=[7,1,5,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU"
 "WebGPU: WebGPU","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
@@ -9551,38 +9535,38 @@
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","WebGPU"
@@ -18901,3 +18885,27 @@
 "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU"
 "WebGPU: WebGPU","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","SQR","type=f16,ne=[10,5,4,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f16,ne=[10,3,3,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU"
diff --git a/examples/batched/batched.cpp b/examples/batched/batched.cpp
index a8c19a6aba6..d2b2e336e75 100644
--- a/examples/batched/batched.cpp
+++ b/examples/batched/batched.cpp
@@ -5,6 +5,7 @@
 #include "sampling.h"
 
 #include <algorithm>
+#include <clocale>
 #include <cstdio>
 #include <string>
 #include <vector>
@@ -16,6 +17,8 @@ static void print_usage(int, char ** argv) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.prompt = "Hello my name is";
diff --git a/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp b/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp
index 767198aafa2..702bc74bee2 100644
--- a/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp
+++ b/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp
@@ -5,14 +5,16 @@
 #include "common.h"
 #include "log.h"
 
-#include <unordered_map>
-#include <vector>
+#include <algorithm>
 #include <cassert>
+#include <cinttypes>
 #include <climits>
-#include <cstring>
+#include <clocale>
 #include <cstdarg>
-#include <cinttypes>
+#include <cstring>
 #include <ctime>
+#include <unordered_map>
+#include <vector>
 #include <random>
 #include <stdexcept>
 #include <sstream>
@@ -874,6 +876,8 @@ static std::string basename(const std::string &path) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_init();
 
     struct train_params params = get_default_train_params();
diff --git a/examples/debug/README.md b/examples/debug/README.md
index 28e00c93427..2ea716eb543 100644
--- a/examples/debug/README.md
+++ b/examples/debug/README.md
@@ -2,7 +2,7 @@
 
 This is a utility intended to help debug a model by registering a callback that
 logs GGML operations and tensor data. It can also store the generated logits or
-embeddings as well as the prompt and token ids for comparision with the original
+embeddings as well as the prompt and token ids for comparison with the original
 model.
 
 ### Usage
diff --git a/examples/deprecation-warning/deprecation-warning.cpp b/examples/deprecation-warning/deprecation-warning.cpp
index 11f5147328a..0cde17f6e99 100644
--- a/examples/deprecation-warning/deprecation-warning.cpp
+++ b/examples/deprecation-warning/deprecation-warning.cpp
@@ -1,11 +1,14 @@
 // Warns users that this filename was deprecated, and provides a link for more information.
 
+#include <clocale>
 #include <cstdio>
 #include <string>
 #include <unordered_map>
 
 // Main
 int main(int argc, char** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     std::string filename = "main";
     if (argc >= 1) {
         filename = argv[0];
diff --git a/examples/diffusion/README.md b/examples/diffusion/README.md
index f71d2413193..b3942002147 100644
--- a/examples/diffusion/README.md
+++ b/examples/diffusion/README.md
@@ -43,12 +43,12 @@ Choose one of the following scheduling methods:
 - `-b`: Batch size
 
 ### Examples
-#### Dream architechture:
+#### Dream architecture:
 ```
 llama-diffusion-cli -m dream7b.gguf -p "write code to train MNIST in pytorch" -ub 512 --diffusion-eps 0.001 --diffusion-algorithm 3 --diffusion-steps 256 --diffusion-visual
 ```
 
-#### LLaDA architechture:
+#### LLaDA architecture:
 ```
 llama-diffusion-cli -m llada-8b.gguf -p "write code to train MNIST in pytorch" -ub 512 --diffusion-block-length 32 --diffusion-steps 256 --diffusion-visual
 ```
diff --git a/examples/diffusion/diffusion-cli.cpp b/examples/diffusion/diffusion-cli.cpp
index d50f754092d..d38bfe7f82d 100644
--- a/examples/diffusion/diffusion-cli.cpp
+++ b/examples/diffusion/diffusion-cli.cpp
@@ -7,6 +7,7 @@
 #include <limits.h>
 
 #include <algorithm>
+#include <clocale>
 #include <cmath>
 #include <cstring>
 #include <limits>
@@ -538,6 +539,8 @@ static std::string format_input_text(const std::string & prompt, const std::stri
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     ggml_time_init();
 
     common_params params;
diff --git a/examples/embedding/embedding.cpp b/examples/embedding/embedding.cpp
index d8eaaa2691f..33ef2a7521f 100644
--- a/examples/embedding/embedding.cpp
+++ b/examples/embedding/embedding.cpp
@@ -3,6 +3,7 @@
 #include "log.h"
 #include "llama.h"
 
+#include <clocale>
 #include <ctime>
 #include <algorithm>
 
@@ -94,6 +95,8 @@ static void print_raw_embeddings(const float * emb,
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EMBEDDING)) {
diff --git a/examples/eval-callback/eval-callback.cpp b/examples/eval-callback/eval-callback.cpp
index bd587349798..17d162d95d3 100644
--- a/examples/eval-callback/eval-callback.cpp
+++ b/examples/eval-callback/eval-callback.cpp
@@ -4,6 +4,8 @@
 #include "log.h"
 #include "llama.h"
 #include "llama-cpp.h"
+
+#include <clocale>
 #include <string>
 #include <vector>
 
@@ -29,6 +31,8 @@ static bool run(llama_context * ctx, const common_params & params) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     base_callback_data cb_data;
 
     common_params params;
diff --git a/examples/gen-docs/gen-docs.cpp b/examples/gen-docs/gen-docs.cpp
index 0aa33e8245b..7ba7d79f721 100644
--- a/examples/gen-docs/gen-docs.cpp
+++ b/examples/gen-docs/gen-docs.cpp
@@ -1,6 +1,7 @@
 #include "arg.h"
 #include "common.h"
 
+#include <clocale>
 #include <fstream>
 #include <sstream>
 #include <string>
@@ -100,6 +101,8 @@ static void write_help(std::ostringstream & ss, const md_file & md) {
 }
 
 int main(int, char **) {
+    std::setlocale(LC_NUMERIC, "C");
+
     for (const auto & md : md_files) {
         std::ifstream infile(md.fname);
         if (!infile.is_open()) {
diff --git a/examples/gguf-hash/gguf-hash.cpp b/examples/gguf-hash/gguf-hash.cpp
index 9523ec122f5..331de301ffc 100644
--- a/examples/gguf-hash/gguf-hash.cpp
+++ b/examples/gguf-hash/gguf-hash.cpp
@@ -1,13 +1,14 @@
 #include "ggml.h"
 #include "gguf.h"
 
-#include <cstdlib>   /* abort() */
+#include <algorithm>
+#include <clocale>
 #include <cstddef>
 #include <cstdio>
-#include <string>
-#include <stdexcept>
-#include <algorithm>
+#include <cstdlib>   /* abort() */
 #include <cstring>
+#include <stdexcept>
+#include <string>
 
 #include <sstream>
 #include <fstream>
@@ -626,6 +627,8 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
 }
 
 int main(int argc, const char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     hash_params params;
     manifest_check_params manifest_check;
     hash_params_parse(argc, argv, params);
diff --git a/examples/gguf/gguf.cpp b/examples/gguf/gguf.cpp
index 499cfacc92a..79ad38711e3 100644
--- a/examples/gguf/gguf.cpp
+++ b/examples/gguf/gguf.cpp
@@ -1,6 +1,7 @@
 #include "ggml.h"
 #include "gguf.h"
 
+#include <clocale>
 #include <cstdio>
 #include <string>
 #include <sstream>
@@ -240,6 +241,8 @@ static bool gguf_ex_read_1(const std::string & fname, bool check_data) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     if (argc < 3) {
         printf("usage: %s data.gguf r|w [n]\n", argv[0]);
         printf("r: read data.gguf file\n");
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index 9fc90a3c987..018ba49b24e 100755
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -633,7 +633,7 @@ def add_component(comp_schema, is_required):
             return self._add_rule(rule_name, self._build_object_rule(properties, required, hybrid_name, additional_properties=None))
 
         elif schema_type in (None, 'array') and ('items' in schema or 'prefixItems' in schema):
-            items = schema.get('items') or schema['prefixItems']
+            items = schema.get('items', schema.get('prefixItems'))
             if isinstance(items, list):
                 return self._add_rule(
                     rule_name,
@@ -689,6 +689,11 @@ def add_component(comp_schema, is_required):
         elif (schema_type == 'object') or (len(schema) == 0):
             return self._add_rule(rule_name, self._add_primitive('object', PRIMITIVE_RULES['object']))
 
+        elif schema_type is None and isinstance(schema, dict):
+            # No type constraint and no recognized structural keywords (e.g. {"description": "..."}).
+            # Per JSON Schema semantics this is equivalent to {} and accepts any value.
+            return self._add_rule(rule_name, self._add_primitive('value', PRIMITIVE_RULES['value']))
+
         else:
             assert schema_type in PRIMITIVE_RULES, f'Unrecognized schema: {schema}'
             # TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero
diff --git a/examples/llama.vim b/examples/llama.vim
index 736802d3655..23a281fc333 100644
--- a/examples/llama.vim
+++ b/examples/llama.vim
@@ -52,8 +52,8 @@ highlight llama_hl_info guifg=#77ff2f ctermfg=119
 "   n_prefix:         number of lines before the cursor location to include in the local prefix
 "   n_suffix:         number of lines after  the cursor location to include in the local suffix
 "   n_predict:        max number of tokens to predict
-"   t_max_prompt_ms:  max alloted time for the prompt processing (TODO: not yet supported)
-"   t_max_predict_ms: max alloted time for the prediction
+"   t_max_prompt_ms:  max allotted time for the prompt processing (TODO: not yet supported)
+"   t_max_predict_ms: max allotted time for the prediction
 "   show_info:        show extra info about the inference (0 - disabled, 1 - statusline, 2 - inline)
 "   auto_fim:         trigger FIM completion automatically on cursor movement
 "   max_line_suffix:  do not auto-trigger FIM completion if there are more than this number of characters to the right of the cursor
diff --git a/examples/lookahead/lookahead.cpp b/examples/lookahead/lookahead.cpp
index aa6efa62b3b..d5fde081c59 100644
--- a/examples/lookahead/lookahead.cpp
+++ b/examples/lookahead/lookahead.cpp
@@ -4,10 +4,11 @@
 #include "log.h"
 #include "llama.h"
 
+#include <algorithm>
+#include <clocale>
 #include <cstdio>
 #include <string>
 #include <vector>
-#include <algorithm>
 
 struct ngram_data {
     bool active = false;
@@ -38,6 +39,8 @@ struct ngram_container {
 };
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
diff --git a/examples/lookup/lookup-create.cpp b/examples/lookup/lookup-create.cpp
index f7b6ea1b190..439e3f726ee 100644
--- a/examples/lookup/lookup-create.cpp
+++ b/examples/lookup/lookup-create.cpp
@@ -3,10 +3,13 @@
 #include "ngram-cache.h"
 #include "llama.h"
 
+#include <clocale>
 #include <string>
 #include <vector>
 
 int main(int argc, char ** argv){
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
diff --git a/examples/lookup/lookup-merge.cpp b/examples/lookup/lookup-merge.cpp
index 6871c0f5fdb..ee3c7249cf1 100644
--- a/examples/lookup/lookup-merge.cpp
+++ b/examples/lookup/lookup-merge.cpp
@@ -3,6 +3,7 @@
 #include "common.h"
 #include "ngram-cache.h"
 
+#include <clocale>
 #include <cstdint>
 #include <cstdio>
 #include <fstream>
@@ -17,6 +18,8 @@ static void print_usage(char* argv0) {
 }
 
 int main(int argc, char ** argv){
+    std::setlocale(LC_NUMERIC, "C");
+
     if (argc < 3) {
         print_usage(argv[0]);
         exit(1);
diff --git a/examples/lookup/lookup-stats.cpp b/examples/lookup/lookup-stats.cpp
index ae28b2e6e86..c3158281c75 100644
--- a/examples/lookup/lookup-stats.cpp
+++ b/examples/lookup/lookup-stats.cpp
@@ -5,14 +5,17 @@
 #include "llama.h"
 #include "ggml.h"
 
+#include <cinttypes>
+#include <clocale>
 #include <cstdint>
 #include <cstdio>
-#include <cinttypes>
 #include <fstream>
 #include <string>
 #include <vector>
 
 int main(int argc, char ** argv){
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
diff --git a/examples/lookup/lookup.cpp b/examples/lookup/lookup.cpp
index c7552ddde14..bd216035c0b 100644
--- a/examples/lookup/lookup.cpp
+++ b/examples/lookup/lookup.cpp
@@ -6,6 +6,7 @@
 #include "log.h"
 #include "llama.h"
 
+#include <clocale>
 #include <cstdint>
 #include <cstdio>
 #include <fstream>
@@ -13,6 +14,8 @@
 #include <vector>
 
 int main(int argc, char ** argv){
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
diff --git a/examples/model-conversion/Makefile b/examples/model-conversion/Makefile
index 342de63bd00..9356aaf8546 100644
--- a/examples/model-conversion/Makefile
+++ b/examples/model-conversion/Makefile
@@ -77,7 +77,10 @@ causal-verify-embeddings: causal-run-original-embeddings causal-run-converted-em
 	@./scripts/causal/compare-embeddings-logits.sh
 
 causal-inspect-original-model:
-	@./scripts/utils/inspect-org-model.py
+	@./scripts/utils/inspect-org-model.py --list-all -s
+
+causal-list-original-model-tensors:
+	@./scripts/utils/inspect-org-model.py --list-all-short -s
 
 causal-inspect-converted-model:
 	@./scripts/utils/inspect-converted-model.sh
@@ -153,7 +156,7 @@ embedding-verify-logits-st: embedding-run-original-model-st embedding-run-conver
 
 embedding-inspect-original-model:
 	$(call validate_embedding_model_path,embedding-inspect-original-model)
-	@EMBEDDING_MODEL_PATH="$(EMBEDDING_MODEL_PATH)" ./scripts/utils/inspect-org-model.py -m ${EMBEDDING_MODEL_PATH}
+	@EMBEDDING_MODEL_PATH="$(EMBEDDING_MODEL_PATH)" ./scripts/utils/inspect-org-model.py -m ${EMBEDDING_MODEL_PATH} --list-all -s
 
 embedding-inspect-converted-model:
 	@CONVERTED_EMBEDDING_MODEL="$(CONVERTED_EMBEDDING_MODEL)" ./scripts/utils/inspect-converted-model.sh ${CONVERTED_EMBEDDING_MODEL}
diff --git a/examples/model-conversion/README.md b/examples/model-conversion/README.md
index 637870a5c15..c43e642fee7 100644
--- a/examples/model-conversion/README.md
+++ b/examples/model-conversion/README.md
@@ -69,7 +69,7 @@ Command line arguments take precedence over environment variables when both are
 
 In cases where the transformer implementation for the model has not been released
 yet it is possible to set the environment variable `UNRELEASED_MODEL_NAME` which
-will then cause the transformer implementation to be loaded explicitely and not
+will then cause the transformer implementation to be loaded explicitly and not
 use AutoModelForCausalLM:
 ```
 export UNRELEASED_MODEL_NAME=SomeNewModel
@@ -120,7 +120,7 @@ The converted model can be inspected using the following command:
 (venv) $ make causal-run-converted-model
 ```
 
-### Model logits verfication
+### Model logits verification
 The following target will run the original model and the converted model and
 compare the logits:
 ```console
@@ -235,7 +235,7 @@ new model the model can be converted to GGUF format using the following command:
 (venv) $ make embedding-run-converted-model
 ```
 
-### Model logits verfication
+### Model logits verification
 The following target will run the original model and the converted model (which
 was done manually in the previous steps) and compare the logits:
 ```console
@@ -335,7 +335,7 @@ $ make perplexity-run-full QUANTIZED_MODEL=~/path/to/quantized/model-Qxx.gguf LO
 
 ## HuggingFace utilities
 The following targets are useful for creating collections and model repositories
-on Hugging Face in the the ggml-org. These can be used when preparing a relase
+on Hugging Face in the the ggml-org. These can be used when preparing a release
 to script the process for new model releases.
 
 For the following targets a `HF_TOKEN` environment variable is required.
@@ -347,7 +347,7 @@ For the following targets a `HF_TOKEN` environment variable is required.
 > $ unset HF_TOKEN
 
 ### Create a new Hugging Face Model (model repository)
-This will create a new model repsository on Hugging Face with the specified
+This will create a new model repository on Hugging Face with the specified
 model name.
 ```console
 (venv) $ make hf-create-model MODEL_NAME='TestModel' NAMESPACE="danbev" ORIGINAL_BASE_MODEL="some-base-model"
diff --git a/examples/model-conversion/scripts/causal/run-org-model.py b/examples/model-conversion/scripts/causal/run-org-model.py
index 215f1a9ee0c..6f85ee4485b 100755
--- a/examples/model-conversion/scripts/causal/run-org-model.py
+++ b/examples/model-conversion/scripts/causal/run-org-model.py
@@ -42,11 +42,15 @@ def load_model_and_tokenizer(model_path, device="auto"):
         config = config.text_config
         multimodal = True
 
-    print("Vocab size:       ", config.vocab_size)
-    print("Hidden size:      ", config.hidden_size)
-    print("Number of layers: ", config.num_hidden_layers)
-    print("BOS token id:     ", config.bos_token_id)
-    print("EOS token id:     ", config.eos_token_id)
+    def print_if_exists(label, obj, attr, default="N/A"):
+        val = getattr(obj, attr) if hasattr(obj, attr) else default
+        print(f"{label}", val)
+
+    print_if_exists("Vocab size:       ", config, "vocab_size")
+    print_if_exists("Hidden size:      ", config, "hidden_size")
+    print_if_exists("Number of layers: ", config, "num_hidden_layers")
+    print_if_exists("BOS token id:     ", config, "bos_token_id")
+    print_if_exists("EOS token id:     ", config, "eos_token_id")
 
     unreleased_model_name = os.getenv("UNRELEASED_MODEL_NAME")
     if unreleased_model_name:
diff --git a/examples/model-conversion/scripts/utils/inspect-org-model.py b/examples/model-conversion/scripts/utils/inspect-org-model.py
index bc6f45a5fb7..5c3674af715 100755
--- a/examples/model-conversion/scripts/utils/inspect-org-model.py
+++ b/examples/model-conversion/scripts/utils/inspect-org-model.py
@@ -1,67 +1,290 @@
 #!/usr/bin/env python3
 
 import argparse
-import os
 import json
+import os
+import re
+import struct
+import sys
+from pathlib import Path
+from typing import Optional
 from safetensors import safe_open
-from collections import defaultdict
-
-parser = argparse.ArgumentParser(description='Process model with specified path')
-parser.add_argument('--model-path', '-m', help='Path to the model')
-args = parser.parse_args()
-
-model_path = os.environ.get('MODEL_PATH', args.model_path)
-if model_path is None:
-    parser.error("Model path must be specified either via --model-path argument or MODEL_PATH environment variable")
-
-# Check if there's an index file (multi-file model)
-index_path = os.path.join(model_path, "model.safetensors.index.json")
-single_file_path = os.path.join(model_path, "model.safetensors")
-
-if os.path.exists(index_path):
-    # Multi-file model
-    print("Multi-file model detected")
-
-    with open(index_path, 'r') as f:
-        index_data = json.load(f)
-
-    # Get the weight map (tensor_name -> file_name)
-    weight_map = index_data.get("weight_map", {})
-
-    # Group tensors by file for efficient processing
-    file_tensors = defaultdict(list)
-    for tensor_name, file_name in weight_map.items():
-        file_tensors[file_name].append(tensor_name)
-
-    print("Tensors in model:")
-
-    # Process each shard file
-    for file_name, tensor_names in file_tensors.items():
-        file_path = os.path.join(model_path, file_name)
-        print(f"\n--- From {file_name} ---")
-
-        with safe_open(file_path, framework="pt") as f:
-            for tensor_name in sorted(tensor_names):
-                tensor = f.get_tensor(tensor_name)
-                print(f"- {tensor_name} : shape = {tensor.shape}, dtype = {tensor.dtype}")
-
-elif os.path.exists(single_file_path):
-    # Single file model (original behavior)
-    print("Single-file model detected")
-
-    with safe_open(single_file_path, framework="pt") as f:
-        keys = f.keys()
-        print("Tensors in model:")
-        for key in sorted(keys):
-            tensor = f.get_tensor(key)
-            print(f"- {key} : shape = {tensor.shape}, dtype = {tensor.dtype}")
-
-else:
-    print(f"Error: Neither 'model.safetensors.index.json' nor 'model.safetensors' found in {model_path}")
-    print("Available files:")
-    if os.path.exists(model_path):
-        for item in sorted(os.listdir(model_path)):
-            print(f"  {item}")
+
+
+MODEL_SAFETENSORS_FILE = "model.safetensors"
+MODEL_SAFETENSORS_INDEX = "model.safetensors.index.json"
+
+DTYPE_SIZES = {
+    "F64": 8, "I64": 8, "U64": 8,
+    "F32": 4, "I32": 4, "U32": 4,
+    "F16": 2, "BF16": 2, "I16": 2, "U16": 2,
+    "I8": 1, "U8": 1, "BOOL": 1,
+    "F8_E4M3": 1, "F8_E5M2": 1,
+}
+
+SIZE_UNITS = ['B', 'KB', 'MB', 'GB', 'TB']
+
+
+def get_weight_map(model_path: Path) -> Optional[dict[str, str]]:
+    index_file = model_path / MODEL_SAFETENSORS_INDEX
+
+    if index_file.exists():
+        with open(index_file, 'r') as f:
+            index = json.load(f)
+            return index.get("weight_map", {})
+
+    return None
+
+
+def get_all_tensor_names(model_path: Path) -> list[str]:
+    weight_map = get_weight_map(model_path)
+
+    if weight_map is not None:
+        return list(weight_map.keys())
+
+    single_file = model_path / MODEL_SAFETENSORS_FILE
+    if single_file.exists():
+        try:
+            with safe_open(single_file, framework="pt", device="cpu") as f:
+                return list(f.keys())
+        except Exception as e:
+            print(f"Error reading {single_file}: {e}")
+            sys.exit(1)
+
+    print(f"Error: No safetensors files found in {model_path}")
+    sys.exit(1)
+
+
+def find_tensor_file(model_path: Path, tensor_name: str) -> Optional[str]:
+    weight_map = get_weight_map(model_path)
+
+    if weight_map is not None:
+        return weight_map.get(tensor_name)
+
+    single_file = model_path / MODEL_SAFETENSORS_FILE
+    if single_file.exists():
+        return single_file.name
+
+    return None
+
+
+def read_safetensors_header(file_path: Path) -> dict:
+    with open(file_path, 'rb') as f:
+        header_size = struct.unpack('<Q', f.read(8))[0]
+        return json.loads(f.read(header_size))
+
+
+def get_tensor_size_bytes(tensor_meta: dict) -> int:
+    offsets = tensor_meta.get("data_offsets")
+    if offsets and len(offsets) == 2:
+        return offsets[1] - offsets[0]
+    n_elements = 1
+    for d in tensor_meta.get("shape", []):
+        n_elements *= d
+    return n_elements * DTYPE_SIZES.get(tensor_meta.get("dtype", "F32"), 4)
+
+
+def format_size(size_bytes: int) -> str:
+    val = float(size_bytes)
+    for unit in SIZE_UNITS[:-1]:
+        if val < 1024.0:
+            return f"{val:.2f} {unit}"
+        val /= 1024.0
+    return f"{val:.2f} {SIZE_UNITS[-1]}"
+
+
+def get_all_tensor_metadata(model_path: Path) -> dict[str, dict]:
+    weight_map = get_weight_map(model_path)
+
+    if weight_map is not None:
+        file_to_tensors: dict[str, list[str]] = {}
+        for tensor_name, file_name in weight_map.items():
+            file_to_tensors.setdefault(file_name, []).append(tensor_name)
+
+        all_metadata: dict[str, dict] = {}
+        for file_name, tensor_names in file_to_tensors.items():
+            try:
+                header = read_safetensors_header(model_path / file_name)
+                for tensor_name in tensor_names:
+                    if tensor_name in header:
+                        all_metadata[tensor_name] = header[tensor_name]
+            except Exception as e:
+                print(f"Warning: Could not read header from {file_name}: {e}", file=sys.stderr)
+        return all_metadata
+
+    single_file = model_path / MODEL_SAFETENSORS_FILE
+    if single_file.exists():
+        try:
+            header = read_safetensors_header(single_file)
+            return {k: v for k, v in header.items() if k != "__metadata__"}
+        except Exception as e:
+            print(f"Error reading {single_file}: {e}")
+            sys.exit(1)
+
+    print(f"Error: No safetensors files found in {model_path}")
+    sys.exit(1)
+
+
+def normalize_tensor_name(tensor_name: str) -> str:
+    normalized = re.sub(r'\.\d+\.', '.#.', tensor_name)
+    normalized = re.sub(r'\.\d+$', '.#', normalized)
+    return normalized
+
+
+def list_all_tensors(
+    model_path: Path,
+    short: bool = False,
+    show_sizes: bool = False,
+):
+    tensor_names = get_all_tensor_names(model_path)
+
+    metadata: Optional[dict[str, dict]] = None
+    if show_sizes:
+        metadata = get_all_tensor_metadata(model_path)
+
+    total_bytes = 0
+
+    if short:
+        seen: dict[str, str] = {}
+        for tensor_name in sorted(tensor_names):
+            normalized = normalize_tensor_name(tensor_name)
+            if normalized not in seen:
+                seen[normalized] = tensor_name
+        display_pairs = list(sorted(seen.items()))
+        name_width = max((len(n) for n, _ in display_pairs), default=0)
+        for normalized, first_name in display_pairs:
+            if metadata and first_name in metadata:
+                m = metadata[first_name]
+                size = get_tensor_size_bytes(m)
+                total_bytes += size
+                print(f"{normalized:{name_width}}  {m.get('dtype', '?'):6s}  {str(m.get('shape', '')):30s}  {format_size(size)}")
+            else:
+                print(normalized)
+    else:
+        name_width = max((len(n) for n in tensor_names), default=0)
+        for tensor_name in sorted(tensor_names):
+            if metadata and tensor_name in metadata:
+                m = metadata[tensor_name]
+                size = get_tensor_size_bytes(m)
+                total_bytes += size
+                print(f"{tensor_name:{name_width}}  {m.get('dtype', '?'):6s}  {str(m.get('shape', '')):30s}  {format_size(size)}")
+            else:
+                print(tensor_name)
+
+    if show_sizes:
+        print(f"\nTotal: {format_size(total_bytes)}")
+
+
+def print_tensor_info(model_path: Path, tensor_name: str, num_values: Optional[int] = None):
+    tensor_file = find_tensor_file(model_path, tensor_name)
+
+    if tensor_file is None:
+        print(f"Error: Could not find tensor '{tensor_name}' in model index")
+        print(f"Model path: {model_path}")
+        sys.exit(1)
+
+    file_path = model_path / tensor_file
+
+    try:
+        header = read_safetensors_header(file_path)
+        tensor_meta = header.get(tensor_name, {})
+        dtype_str = tensor_meta.get("dtype")
+
+        with safe_open(file_path, framework="pt", device="cpu") as f:
+            if tensor_name in f.keys():
+                tensor_slice = f.get_slice(tensor_name)
+                shape = tensor_slice.get_shape()
+                print(f"Tensor: {tensor_name}")
+                print(f"File:   {tensor_file}")
+                print(f"Shape:  {shape}")
+                if dtype_str:
+                    print(f"Dtype:  {dtype_str}")
+                if tensor_meta:
+                    print(f"Size:   {format_size(get_tensor_size_bytes(tensor_meta))}")
+                if num_values is not None:
+                    tensor = f.get_tensor(tensor_name)
+                    if not dtype_str:
+                        print(f"Dtype:  {tensor.dtype}")
+                    flat = tensor.flatten()
+                    n = min(num_values, flat.numel())
+                    print(f"Values: {flat[:n].tolist()}")
+            else:
+                print(f"Error: Tensor '{tensor_name}' not found in {tensor_file}")
+                sys.exit(1)
+
+    except FileNotFoundError:
+        print(f"Error: The file '{file_path}' was not found.")
+        sys.exit(1)
+    except Exception as e:
+        print(f"An error occurred: {e}")
+        sys.exit(1)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Print tensor information from a safetensors model"
+    )
+    parser.add_argument(
+        "tensor_name",
+        nargs="?",
+        help="Name of the tensor to inspect"
+    )
+    parser.add_argument(
+        "-m", "--model-path",
+        type=Path,
+        help="Path to the model directory (default: MODEL_PATH environment variable)"
+    )
+    parser.add_argument(
+        "-l", "--list-all-short",
+        action="store_true",
+        help="List unique tensor patterns (layer numbers replaced with #)"
+    )
+    parser.add_argument(
+        "-la", "--list-all",
+        action="store_true",
+        help="List all tensor names with actual layer numbers"
+    )
+    parser.add_argument(
+        "-n", "--num-values",
+        nargs="?",
+        const=10,
+        default=None,
+        type=int,
+        metavar="N",
+        help="Print the first N values of the tensor flattened (default: 10 if flag is given without a number)"
+    )
+    parser.add_argument(
+        "-s", "--sizes",
+        action="store_true",
+        help="Show dtype, shape, and size for each tensor when listing"
+    )
+
+    args = parser.parse_args()
+
+    model_path = args.model_path
+    if model_path is None:
+        model_path_str = os.environ.get("MODEL_PATH")
+        if model_path_str is None:
+            print("Error: --model-path not provided and MODEL_PATH environment variable not set")
+            sys.exit(1)
+        model_path = Path(model_path_str)
+
+    if not model_path.exists():
+        print(f"Error: Model path does not exist: {model_path}")
+        sys.exit(1)
+
+    if not model_path.is_dir():
+        print(f"Error: Model path is not a directory: {model_path}")
+        sys.exit(1)
+
+    if args.list_all_short or args.list_all:
+        list_all_tensors(model_path, short=args.list_all_short, show_sizes=args.sizes)
     else:
-        print(f"  Directory {model_path} does not exist")
-    exit(1)
+        if args.tensor_name is None:
+            print("Error: tensor_name is required when not using --list-all-short or --list-all")
+            sys.exit(1)
+        print_tensor_info(model_path, args.tensor_name, args.num_values)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/model-conversion/scripts/utils/tensor-info.py b/examples/model-conversion/scripts/utils/tensor-info.py
deleted file mode 100755
index 12a3430b495..00000000000
--- a/examples/model-conversion/scripts/utils/tensor-info.py
+++ /dev/null
@@ -1,159 +0,0 @@
-#!/usr/bin/env python3
-
-import argparse
-import json
-import os
-import re
-import sys
-from pathlib import Path
-from typing import Optional
-from safetensors import safe_open
-
-
-MODEL_SAFETENSORS_FILE = "model.safetensors"
-MODEL_SAFETENSORS_INDEX = "model.safetensors.index.json"
-
-
-def get_weight_map(model_path: Path) -> Optional[dict[str, str]]:
-    index_file = model_path / MODEL_SAFETENSORS_INDEX
-
-    if index_file.exists():
-        with open(index_file, 'r') as f:
-            index = json.load(f)
-            return index.get("weight_map", {})
-
-    return None
-
-
-def get_all_tensor_names(model_path: Path) -> list[str]:
-    weight_map = get_weight_map(model_path)
-
-    if weight_map is not None:
-        return list(weight_map.keys())
-
-    single_file = model_path / MODEL_SAFETENSORS_FILE
-    if single_file.exists():
-        try:
-            with safe_open(single_file, framework="pt", device="cpu") as f:
-                return list(f.keys())
-        except Exception as e:
-            print(f"Error reading {single_file}: {e}")
-            sys.exit(1)
-
-    print(f"Error: No safetensors files found in {model_path}")
-    sys.exit(1)
-
-
-def find_tensor_file(model_path: Path, tensor_name: str) -> Optional[str]:
-    weight_map = get_weight_map(model_path)
-
-    if weight_map is not None:
-        return weight_map.get(tensor_name)
-
-    single_file = model_path / MODEL_SAFETENSORS_FILE
-    if single_file.exists():
-        return single_file.name
-
-    return None
-
-
-def normalize_tensor_name(tensor_name: str) -> str:
-    normalized = re.sub(r'\.\d+\.', '.#.', tensor_name)
-    normalized = re.sub(r'\.\d+$', '.#', normalized)
-    return normalized
-
-
-def list_all_tensors(model_path: Path, unique: bool = False):
-    tensor_names = get_all_tensor_names(model_path)
-
-    if unique:
-        seen = set()
-        for tensor_name in sorted(tensor_names):
-            normalized = normalize_tensor_name(tensor_name)
-            if normalized not in seen:
-                seen.add(normalized)
-                print(normalized)
-    else:
-        for tensor_name in sorted(tensor_names):
-            print(tensor_name)
-
-
-def print_tensor_info(model_path: Path, tensor_name: str):
-    tensor_file = find_tensor_file(model_path, tensor_name)
-
-    if tensor_file is None:
-        print(f"Error: Could not find tensor '{tensor_name}' in model index")
-        print(f"Model path: {model_path}")
-        sys.exit(1)
-
-    file_path = model_path / tensor_file
-
-    try:
-        with safe_open(file_path, framework="pt", device="cpu") as f:
-            if tensor_name in f.keys():
-                tensor_slice = f.get_slice(tensor_name)
-                shape = tensor_slice.get_shape()
-                print(f"Tensor: {tensor_name}")
-                print(f"File:   {tensor_file}")
-                print(f"Shape:  {shape}")
-            else:
-                print(f"Error: Tensor '{tensor_name}' not found in {tensor_file}")
-                sys.exit(1)
-
-    except FileNotFoundError:
-        print(f"Error: The file '{file_path}' was not found.")
-        sys.exit(1)
-    except Exception as e:
-        print(f"An error occurred: {e}")
-        sys.exit(1)
-
-
-def main():
-    parser = argparse.ArgumentParser(
-        description="Print tensor information from a safetensors model"
-    )
-    parser.add_argument(
-        "tensor_name",
-        nargs="?",  # optional (if --list is used for example)
-        help="Name of the tensor to inspect"
-    )
-    parser.add_argument(
-        "-m", "--model-path",
-        type=Path,
-        help="Path to the model directory (default: MODEL_PATH environment variable)"
-    )
-    parser.add_argument(
-        "-l", "--list",
-        action="store_true",
-        help="List unique tensor patterns in the model (layer numbers replaced with #)"
-    )
-
-    args = parser.parse_args()
-
-    model_path = args.model_path
-    if model_path is None:
-        model_path_str = os.environ.get("MODEL_PATH")
-        if model_path_str is None:
-            print("Error: --model-path not provided and MODEL_PATH environment variable not set")
-            sys.exit(1)
-        model_path = Path(model_path_str)
-
-    if not model_path.exists():
-        print(f"Error: Model path does not exist: {model_path}")
-        sys.exit(1)
-
-    if not model_path.is_dir():
-        print(f"Error: Model path is not a directory: {model_path}")
-        sys.exit(1)
-
-    if args.list:
-        list_all_tensors(model_path, unique=True)
-    else:
-        if args.tensor_name is None:
-            print("Error: tensor_name is required when not using --list")
-            sys.exit(1)
-        print_tensor_info(model_path, args.tensor_name)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/examples/parallel/parallel.cpp b/examples/parallel/parallel.cpp
index c92173ae291..1700ceefbf7 100644
--- a/examples/parallel/parallel.cpp
+++ b/examples/parallel/parallel.cpp
@@ -7,12 +7,13 @@
 #include "log.h"
 #include "llama.h"
 
+#include <algorithm>
+#include <clocale>
 #include <cmath>
 #include <cstdio>
 #include <string>
 #include <vector>
 #include <ctime>
-#include <algorithm>
 
 // trim whitespace from the beginning and end of a string
 static std::string trim(const std::string & str) {
@@ -153,6 +154,8 @@ static std::vector<std::string> split_string(const std::string& input, char deli
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     srand(1234);
 
     common_params params;
diff --git a/examples/passkey/passkey.cpp b/examples/passkey/passkey.cpp
index 8a4faa383bf..665191047a4 100644
--- a/examples/passkey/passkey.cpp
+++ b/examples/passkey/passkey.cpp
@@ -3,6 +3,7 @@
 #include "log.h"
 #include "llama.h"
 
+#include <clocale>
 #include <cmath>
 #include <cstdio>
 #include <string>
@@ -16,6 +17,8 @@ static void print_usage(int, char ** argv) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.n_junk = 250;
diff --git a/examples/retrieval/retrieval.cpp b/examples/retrieval/retrieval.cpp
index 3f2afd4346e..9e05fc22337 100644
--- a/examples/retrieval/retrieval.cpp
+++ b/examples/retrieval/retrieval.cpp
@@ -4,6 +4,7 @@
 #include "llama.h"
 
 #include <algorithm>
+#include <clocale>
 #include <fstream>
 #include <iostream> // TODO: remove me
 
@@ -112,6 +113,8 @@ static void batch_process(llama_context * ctx, llama_batch & batch, float * outp
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RETRIEVAL, print_usage)) {
diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp
index 39d4464663d..174c8c75854 100644
--- a/examples/save-load-state/save-load-state.cpp
+++ b/examples/save-load-state/save-load-state.cpp
@@ -2,15 +2,21 @@
 #include "common.h"
 #include "llama.h"
 
+#include <clocale>
 #include <vector>
 #include <cstdio>
 
+
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.prompt = "The quick brown fox";
     params.sampling.seed = 1234;
 
+    const std::string_view state_file = "dump_state.bin";
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
@@ -53,35 +59,16 @@ int main(int argc, char ** argv) {
     // tokenize prompt
     auto tokens = common_tokenize(ctx, params.prompt, true);
 
-    // prepare the batch
-    llama_batch batch = llama_batch_init(tokens.size(), 0, 1);
-    for (size_t i = 0; i < tokens.size(); i++) {
-        common_batch_add(batch, tokens[i], i, {0}, false);
-    }
-    batch.logits[batch.n_tokens - 1] = true; // generate next token
-
-    // evaluate prompt
-    llama_decode(ctx, batch);
-    n_past += batch.n_tokens;
-
-    // save state (rng, logits, embedding and kv_cache) to file
-    {
-        std::vector<uint8_t> state_mem(llama_state_get_size(ctx));
-        const size_t written = llama_state_get_data(ctx, state_mem.data(), state_mem.size());
-
-        FILE *fp_write = fopen("dump_state.bin", "wb");
-        fwrite(state_mem.data(), 1, written, fp_write);
-        fclose(fp_write);
-
-        fprintf(stderr, "%s : serialized state into %zd out of a maximum of %zd bytes\n", __func__, written, state_mem.size());
+    const bool save_state = true;
+    if (!common_prompt_batch_decode(ctx, tokens, n_past, params.n_batch, state_file, save_state)) {
+        return 1;
     }
 
-    // save state (last tokens)
-    const auto n_past_saved = n_past;
-
     // first run
     printf("\nfirst run: %s", params.prompt.c_str());
 
+    llama_batch batch = llama_batch_init(1, 0, 1);
+
     for (auto i = 0; i < params.n_predict; i++) {
         auto next_token     = llama_sampler_sample(smpl, ctx, -1);
         auto next_token_str = common_token_to_piece(ctx, next_token);
@@ -111,27 +98,23 @@ int main(int argc, char ** argv) {
 
     printf("\nsecond run: %s", params.prompt.c_str());
 
-    // load state (rng, logits, embedding and kv_cache) from file
-    {
-        std::vector<uint8_t> state_mem;
+    // load state from file
+    std::vector<llama_token> unused_sts(tokens.size()); // unused session tokens.
+    size_t n_token_count_out = 0;
 
-        FILE * fp_read = fopen("dump_state.bin", "rb");
-        fseek(fp_read, 0, SEEK_END);
-        state_mem.resize(ftell(fp_read));
-        fseek(fp_read, 0, SEEK_SET);
-        const size_t read = fread(state_mem.data(), 1, state_mem.size(), fp_read);
-        fclose(fp_read);
-
-        if (read != llama_state_set_data(ctx2, state_mem.data(), state_mem.size())) {
-            fprintf(stderr, "\n%s : failed to read state\n", __func__);
-            return 1;
-        }
-
-        fprintf(stderr, "%s : deserialized state from %zd out of a maximum of %zd bytes\n", __func__, read, state_mem.size());
+    if (!llama_state_load_file(ctx2, state_file.data(), unused_sts.data(), unused_sts.size(), &n_token_count_out)) {
+        fprintf(stderr, "\n%s : failed to load state\n", __func__);
+        return 1;
     }
 
+    fprintf(stderr, "%s : loaded state with %zu tokens\n", __func__, n_token_count_out);
+
     // restore state (last tokens)
-    n_past = n_past_saved;
+    n_past = n_token_count_out;
+    if (!common_replay_last_token(ctx2, tokens.back(), n_past)) {
+        return 1;
+    }
+    ++n_past;
 
     // second run
     for (auto i = 0; i < params.n_predict; i++) {
@@ -160,7 +143,9 @@ int main(int argc, char ** argv) {
     }
 
     // make new context
-    llama_context * ctx3 = llama_init_from_model(model, common_context_params_to_llama(params));
+    auto params_ctx3 = common_context_params_to_llama(params);
+    params_ctx3.n_seq_max = 2;
+    llama_context * ctx3 = llama_init_from_model(model, params_ctx3);
 
     llama_sampler * smpl3 = llama_sampler_chain_init(sparams);
 
@@ -169,26 +154,21 @@ int main(int argc, char ** argv) {
     printf("\nsingle seq run: %s", params.prompt.c_str());
 
     // load state (rng, logits, embedding and kv_cache) from file
-    {
-        std::vector<uint8_t> state_mem;
-
-        FILE * fp_read = fopen("dump_state.bin", "rb");
-        fseek(fp_read, 0, SEEK_END);
-        state_mem.resize(ftell(fp_read));
-        fseek(fp_read, 0, SEEK_SET);
-        const size_t read = fread(state_mem.data(), 1, state_mem.size(), fp_read);
-        fclose(fp_read);
+    n_token_count_out = 0;
 
-        if (read != llama_state_set_data(ctx3, state_mem.data(), state_mem.size())) {
-            fprintf(stderr, "\n%s : failed to read state\n", __func__);
-            return 1;
-        }
-
-        fprintf(stderr, "%s : deserialized state from %zd out of a maximum of %zd bytes\n", __func__, read, state_mem.size());
+    if (!llama_state_load_file(ctx3, state_file.data(), unused_sts.data(), unused_sts.size(), &n_token_count_out)) {
+        fprintf(stderr, "\n%s : failed to load state\n", __func__);
+        return 1;
     }
 
+    fprintf(stderr, "%s : loaded state with %zu tokens\n", __func__, n_token_count_out);
+
     // restore state (last tokens)
-    n_past = n_past_saved;
+    n_past = n_token_count_out;
+    if (!common_replay_last_token(ctx3, tokens.back(), n_past)) {
+        return 1;
+    }
+    ++n_past;
 
     // save seq 0 and load into seq 1
     {
diff --git a/examples/simple-chat/simple-chat.cpp b/examples/simple-chat/simple-chat.cpp
index 57195df3316..97e9dc9842f 100644
--- a/examples/simple-chat/simple-chat.cpp
+++ b/examples/simple-chat/simple-chat.cpp
@@ -1,4 +1,5 @@
 #include "llama.h"
+#include <clocale>
 #include <cstdio>
 #include <cstring>
 #include <iostream>
@@ -12,6 +13,8 @@ static void print_usage(int, char ** argv) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     std::string model_path;
     int ngl = 99;
     int n_ctx = 2048;
diff --git a/examples/simple/simple.cpp b/examples/simple/simple.cpp
index d09771d1045..9f0a25d713f 100644
--- a/examples/simple/simple.cpp
+++ b/examples/simple/simple.cpp
@@ -1,4 +1,5 @@
 #include "llama.h"
+#include <clocale>
 #include <cstdio>
 #include <cstring>
 #include <string>
@@ -11,6 +12,8 @@ static void print_usage(int, char ** argv) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     // path to the model gguf file
     std::string model_path;
     // prompt to generate text from
diff --git a/examples/speculative-simple/speculative-simple.cpp b/examples/speculative-simple/speculative-simple.cpp
index d8b1f5a480c..8a1cbd96c25 100644
--- a/examples/speculative-simple/speculative-simple.cpp
+++ b/examples/speculative-simple/speculative-simple.cpp
@@ -5,12 +5,15 @@
 #include "log.h"
 #include "llama.h"
 
+#include <clocale>
 #include <cstdio>
 #include <cstring>
 #include <string>
 #include <vector>
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SPECULATIVE)) {
diff --git a/examples/speculative/speculative.cpp b/examples/speculative/speculative.cpp
index 3e5cf5f46b5..250c5b7c62d 100644
--- a/examples/speculative/speculative.cpp
+++ b/examples/speculative/speculative.cpp
@@ -5,6 +5,7 @@
 #include "llama.h"
 
 #include <algorithm>
+#include <clocale>
 #include <cstdio>
 #include <cstring>
 #include <random>
@@ -30,6 +31,8 @@ struct seq_draft {
 };
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     // needed to get candidate probs even for temp <= 0.0
diff --git a/examples/sycl/README.md b/examples/sycl/README.md
index 8819d87f56e..29143dd6176 100644
--- a/examples/sycl/README.md
+++ b/examples/sycl/README.md
@@ -6,11 +6,11 @@ This example program provides the tools for llama.cpp for SYCL on Intel GPU.
 
 |Tool Name| Function|Status|
 |-|-|-|
-|llama-ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, ect.|Support|
+|llama-ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, etc.|Support|
 
 ### llama-ls-sycl-device
 
-List all SYCL devices with ID, compute capability, max work group size, ect.
+List all SYCL devices with ID, compute capability, max work group size, etc.
 
 1. Build the llama.cpp for SYCL for the specified target *(using GGML_SYCL_TARGET)*.
 
diff --git a/examples/sycl/ls-sycl-device.cpp b/examples/sycl/ls-sycl-device.cpp
index 74a8b7fd814..3bdc4059825 100644
--- a/examples/sycl/ls-sycl-device.cpp
+++ b/examples/sycl/ls-sycl-device.cpp
@@ -6,8 +6,10 @@
 
 
 #include "ggml-sycl.h"
+#include <clocale>
 
 int main() {
+    std::setlocale(LC_NUMERIC, "C");
     ggml_backend_sycl_print_sycl_devices();
     return 0;
 }
diff --git a/examples/training/finetune.cpp b/examples/training/finetune.cpp
index c82de8d35d0..e20f89488f2 100644
--- a/examples/training/finetune.cpp
+++ b/examples/training/finetune.cpp
@@ -3,6 +3,7 @@
 #include "log.h"
 #include "llama.h"
 
+#include <clocale>
 #include <cmath>
 #include <cstdio>
 #include <cstring>
@@ -14,6 +15,8 @@
 #endif
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
     params.escape = false;
 
diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt
index 71d1a7f0e34..8f679e2fd35 100644
--- a/ggml/CMakeLists.txt
+++ b/ggml/CMakeLists.txt
@@ -4,7 +4,7 @@ project("ggml" C CXX ASM)
 ### GGML Version
 set(GGML_VERSION_MAJOR 0)
 set(GGML_VERSION_MINOR 9)
-set(GGML_VERSION_PATCH 5)
+set(GGML_VERSION_PATCH 7)
 set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")
 
 find_program(GIT_EXE NAMES git git.exe NO_CMAKE_FIND_ROOT_PATH)
@@ -253,7 +253,7 @@ option(GGML_OPENCL_PROFILING                "ggml: use OpenCL profiling (increas
 option(GGML_OPENCL_EMBED_KERNELS            "ggml: embed kernels"                             ON)
 option(GGML_OPENCL_USE_ADRENO_KERNELS       "ggml: use optimized kernels for Adreno"          ON)
 set   (GGML_OPENCL_TARGET_VERSION "300" CACHE STRING
-                                            "gmml: OpenCL API version to target")
+                                            "ggml: OpenCL API version to target")
 
 option(GGML_HEXAGON                         "ggml: enable Hexagon backend"                    OFF)
 set(GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE 128 CACHE STRING "ggml: quantize group size (32, 64, or 128)")
diff --git a/ggml/include/ggml-backend.h b/ggml/include/ggml-backend.h
index a9d1778641e..9fd3f7f32a0 100644
--- a/ggml/include/ggml-backend.h
+++ b/ggml/include/ggml-backend.h
@@ -259,7 +259,7 @@ extern "C" {
       Example usage:
 
         // operations that use tensors allocated in a buffer with USAGE_WEIGHTS will be assigned
-        // preferrably to run on the same backend as the buffer
+        // preferably to run on the same backend as the buffer
         ggml_backend_buffer_set_usage(buf_weights, GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
 
         sched = ggml_backend_sched_new({backend_gpu, backend_gpu2, backend_cpu}, NULL, num_backends, GGML_DEFAULT_GRAPH_SIZE, false, true);
diff --git a/ggml/include/ggml-opt.h b/ggml/include/ggml-opt.h
index 4703a05afe1..1c2ed79b774 100644
--- a/ggml/include/ggml-opt.h
+++ b/ggml/include/ggml-opt.h
@@ -138,7 +138,7 @@ extern "C" {
     GGML_API ggml_opt_context_t ggml_opt_init(struct ggml_opt_params params);
     GGML_API void ggml_opt_free(ggml_opt_context_t opt_ctx);
 
-    // set gradients to zero, initilize loss, and optionally reset the optimizer
+    // set gradients to zero, initialize loss, and optionally reset the optimizer
     GGML_API void ggml_opt_reset(ggml_opt_context_t opt_ctx, bool optimizer);
 
     GGML_API bool ggml_opt_static_graphs(ggml_opt_context_t opt_ctx); // whether the graphs are allocated_statically
diff --git a/ggml/include/ggml-rpc.h b/ggml/include/ggml-rpc.h
index df1ad2a5168..1c11495b66e 100644
--- a/ggml/include/ggml-rpc.h
+++ b/ggml/include/ggml-rpc.h
@@ -8,7 +8,12 @@ extern "C" {
 
 #define RPC_PROTO_MAJOR_VERSION    3
 #define RPC_PROTO_MINOR_VERSION    6
-#define RPC_PROTO_PATCH_VERSION    0
+#define RPC_PROTO_PATCH_VERSION    1
+
+#ifdef  __cplusplus
+static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT has changed - update RPC_PROTO_PATCH_VERSION");
+#endif
+
 #define GGML_RPC_MAX_SERVERS       16
 
 // backend API
diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h
index f759e2d5883..25f9601e9b5 100644
--- a/ggml/include/ggml.h
+++ b/ggml/include/ggml.h
@@ -427,7 +427,8 @@ extern "C" {
         // GGML_TYPE_IQ4_NL_4_8 = 37,
         // GGML_TYPE_IQ4_NL_8_8 = 38,
         GGML_TYPE_MXFP4   = 39, // MXFP4 (1 block)
-        GGML_TYPE_COUNT   = 40,
+        GGML_TYPE_NVFP4   = 40, // NVFP4 (4 blocks, E4M3 scale)
+        GGML_TYPE_COUNT   = 41,
     };
 
     // precision
@@ -463,6 +464,7 @@ extern "C" {
         GGML_FTYPE_MOSTLY_IQ1_M   = 23, // except 1d tensors
         GGML_FTYPE_MOSTLY_BF16    = 24, // except 1d tensors
         GGML_FTYPE_MOSTLY_MXFP4   = 25, // except 1d tensors
+        GGML_FTYPE_MOSTLY_NVFP4   = 26, // except 1d tensors
     };
 
     // available tensor operations:
@@ -556,6 +558,7 @@ extern "C" {
         GGML_OP_GATED_LINEAR_ATTN,
         GGML_OP_RWKV_WKV7,
         GGML_OP_SOLVE_TRI,
+        GGML_OP_GATED_DELTA_NET,
 
         GGML_OP_UNARY,
 
@@ -730,10 +733,6 @@ extern "C" {
     GGML_API size_t  ggml_type_size(enum ggml_type type);             // size in bytes for all elements in a block
     GGML_API size_t  ggml_row_size (enum ggml_type type, int64_t ne); // size in bytes for all elements in a row
 
-    GGML_DEPRECATED(
-    GGML_API double ggml_type_sizef(enum ggml_type type), // ggml_type_size()/ggml_blck_size() as float
-    "use ggml_row_size() instead");
-
     GGML_API const char * ggml_type_name(enum ggml_type type);
     GGML_API const char * ggml_op_name  (enum ggml_op   op);
     GGML_API const char * ggml_op_symbol(enum ggml_op   op);
@@ -752,6 +751,7 @@ extern "C" {
     GGML_API bool ggml_is_transposed(const struct ggml_tensor * tensor);
     GGML_API bool ggml_is_permuted  (const struct ggml_tensor * tensor);
     GGML_API bool ggml_is_empty     (const struct ggml_tensor * tensor);
+    GGML_API bool ggml_is_view      (const struct ggml_tensor * tensor);
     GGML_API bool ggml_is_scalar    (const struct ggml_tensor * tensor);
     GGML_API bool ggml_is_vector    (const struct ggml_tensor * tensor);
     GGML_API bool ggml_is_matrix    (const struct ggml_tensor * tensor);
@@ -2466,6 +2466,17 @@ extern "C" {
         bool                  lower,
         bool                  uni);
 
+    // TODO: add ggml_gated_delta_net_set_bcast() to be able to configure Q, K broadcast type: tiled vs interleaved [TAG_GGML_GDN_BCAST]
+    // ref: https://github.com/ggml-org/llama.cpp/pull/19468#discussion_r2786394306
+    GGML_API struct ggml_tensor * ggml_gated_delta_net(
+            struct ggml_context * ctx,
+            struct ggml_tensor  * q,
+            struct ggml_tensor  * k,
+            struct ggml_tensor  * v,
+            struct ggml_tensor  * g,
+            struct ggml_tensor  * beta,
+            struct ggml_tensor  * state);
+
     // custom operators
 
     typedef void (*ggml_custom1_op_t)(struct ggml_tensor * dst , const struct ggml_tensor * a, int ith, int nth, void * userdata);
@@ -2578,7 +2589,7 @@ extern "C" {
         struct ggml_tensor *  grad,
         struct ggml_tensor *  sgd_params); // alpha, weight decay
 
-    // build forward mutiple tensors and select one of them for computing
+    // build forward multiple tensors and select one of them for computing
     // this is useful for creating graphs that have constant topology but compute different things based on the input
     // ref: https://github.com/ggml-org/llama.cpp/pull/18550
     //
diff --git a/ggml/src/ggml-alloc.c b/ggml/src/ggml-alloc.c
index 41419b617bd..7f414b2311c 100644
--- a/ggml/src/ggml-alloc.c
+++ b/ggml/src/ggml-alloc.c
@@ -17,11 +17,6 @@
 //#define AT_PRINTF(...) GGML_LOG_DEBUG(__VA_ARGS__)
 #define AT_PRINTF(...)
 
-
-static bool ggml_is_view(const struct ggml_tensor * t) {
-    return t->view_src != NULL;
-}
-
 // ops that return true for this function must not use restrict pointers for their backend implementations
 bool ggml_op_can_inplace(enum ggml_op op) {
     switch (op) {
@@ -627,7 +622,7 @@ static void ggml_gallocr_allocate_node(ggml_gallocr_t galloc, struct ggml_tensor
     GGML_ASSERT(buffer_id >= 0);
     struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);
 
-    if (!ggml_gallocr_is_allocated(galloc, node) && !ggml_is_view(node)) {
+    if (!ggml_gallocr_is_allocated(galloc, node) && !ggml_impl_is_view(node)) {
         hn->allocated = true;
         assert(hn->addr.offset == 0);
 
@@ -658,7 +653,7 @@ static void ggml_gallocr_allocate_node(ggml_gallocr_t galloc, struct ggml_tensor
 
                 struct hash_node * p_hn = ggml_gallocr_hash_get(galloc, parent);
                 if (p_hn->n_children == 1 && p_hn->n_views == 0) {
-                    if (ggml_is_view(parent)) {
+                    if (ggml_impl_is_view(parent)) {
                         struct ggml_tensor * view_src = parent->view_src;
                         struct hash_node * view_src_hn = ggml_gallocr_hash_get(galloc, view_src);
                         if (view_src_hn->n_views == 1 && view_src_hn->n_children == 0 && view_src->data == parent->data) {
@@ -739,7 +734,7 @@ static void ggml_gallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgr
         // GGML_OP_NONE does not appear normally in the graph nodes, but is used by ggml-backend to add dependencies to
         // control when some tensors are allocated and freed. in this case, the dependencies are in `src`, but the node
         // itself is never used and should not be considered a dependency
-        if (ggml_is_view(node) && node->op != GGML_OP_NONE) {
+        if (ggml_impl_is_view(node) && node->op != GGML_OP_NONE) {
             struct ggml_tensor * view_src = node->view_src;
             ggml_gallocr_hash_get(galloc, view_src)->n_views += 1;
         }
@@ -806,7 +801,7 @@ static void ggml_gallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgr
                 parent->name, p_hn->n_children, p_hn->n_views, p_hn->allocated);
 
             if (p_hn->n_children == 0 && p_hn->n_views == 0) {
-                if (ggml_is_view(parent)) {
+                if (ggml_impl_is_view(parent)) {
                     struct ggml_tensor * view_src = parent->view_src;
                     struct hash_node * view_src_hn = ggml_gallocr_hash_get(galloc, view_src);
                     view_src_hn->n_views -= 1;
diff --git a/ggml/src/ggml-blas/ggml-blas.cpp b/ggml/src/ggml-blas/ggml-blas.cpp
index 2e9ddf2240d..5de64b816fc 100644
--- a/ggml/src/ggml-blas/ggml-blas.cpp
+++ b/ggml/src/ggml-blas/ggml-blas.cpp
@@ -339,8 +339,8 @@ static const char * ggml_backend_blas_device_get_description(ggml_backend_dev_t
 }
 
 static void ggml_backend_blas_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
-    // TODO
-    *free = 0;
+    // no memory to report
+    *free  = 0;
     *total = 0;
 
     GGML_UNUSED(dev);
diff --git a/ggml/src/ggml-common.h b/ggml/src/ggml-common.h
index 93ab7ea446e..92cf739e7a7 100644
--- a/ggml/src/ggml-common.h
+++ b/ggml/src/ggml-common.h
@@ -102,6 +102,9 @@ typedef sycl::half2 ggml_half2;
 #define QI_MXFP4 (QK_MXFP4 / (4 * QR_MXFP4))
 #define QR_MXFP4 2
 
+#define QI_NVFP4 (QK_NVFP4 / (4 * QR_NVFP4))
+#define QR_NVFP4 2
+
 #define QI5_0 (QK5_0 / (4 * QR5_0))
 #define QR5_0 2
 
@@ -194,6 +197,14 @@ typedef struct {
 } block_mxfp4;
 static_assert(sizeof(block_mxfp4) == sizeof(uint8_t) + QK_MXFP4/2, "wrong mxfp4 block size/padding");
 
+#define QK_NVFP4 64
+#define QK_NVFP4_SUB 16  // sub-block size for per-group scales
+typedef struct {
+    uint8_t d[QK_NVFP4/QK_NVFP4_SUB]; // UE4M3 scales (4 bytes, one per 16-element sub-block)
+    uint8_t qs[QK_NVFP4/2];           // packed 4-bit E2M1 values (32 bytes)
+} block_nvfp4;
+static_assert(sizeof(block_nvfp4) == sizeof(uint8_t)*(QK_NVFP4/QK_NVFP4_SUB) + QK_NVFP4/2, "wrong nvfp4 block size/padding");
+
 #define QK5_0 32
 typedef struct {
     ggml_half d;           // delta
diff --git a/ggml/src/ggml-cpu/CMakeLists.txt b/ggml/src/ggml-cpu/CMakeLists.txt
index 7622d0bf49b..6ca3176a2f2 100644
--- a/ggml/src/ggml-cpu/CMakeLists.txt
+++ b/ggml/src/ggml-cpu/CMakeLists.txt
@@ -9,6 +9,11 @@ function(ggml_add_cpu_backend_features cpu_name arch)
     target_compile_definitions(${GGML_CPU_FEATS_NAME} PRIVATE ${ARGN})
     target_compile_definitions(${GGML_CPU_FEATS_NAME} PRIVATE GGML_BACKEND_DL GGML_BACKEND_BUILD GGML_BACKEND_SHARED)
     set_target_properties(${GGML_CPU_FEATS_NAME} PROPERTIES POSITION_INDEPENDENT_CODE ON)
+    # Disable LTO for the feature detection code to prevent cross-module optimization
+    # from inlining architecture-specific instructions into the score function.
+    # Without this, LTO can cause SIGILL when loading backends on older CPUs
+    # (e.g., loading power10 backend on power9 crashes before feature check runs).
+    target_compile_options(${GGML_CPU_FEATS_NAME} PRIVATE -fno-lto)
     target_link_libraries(${cpu_name} PRIVATE ${GGML_CPU_FEATS_NAME})
 endfunction()
 
@@ -561,35 +566,32 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
 
         # Fetch KleidiAI sources:
         include(FetchContent)
-        set(KLEIDIAI_COMMIT_TAG "v1.16.0")
+        set(KLEIDIAI_COMMIT_TAG "v1.22.0")
         set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/archive/refs/tags/${KLEIDIAI_COMMIT_TAG}.tar.gz")
-        set(KLEIDIAI_ARCHIVE_MD5  "0a9e9008adb6031f9e8cf70dff4a3321")
+        set(KLEIDIAI_ARCHIVE_MD5  "54049037570ab0ee0a0d126b2ba5ece1")
 
         if (POLICY CMP0135)
             cmake_policy(SET CMP0135 NEW)
         endif()
 
+        # TODO: Use FetchContent_MakeAvailable with EXCLUDE_FROM_ALL after bumping minimum CMake version to 3.28+
+        # Using FetchContent_Populate instead to avoid EXCLUDE_FROM_ALL which requires CMake 3.28
         FetchContent_Declare(KleidiAI_Download
             URL ${KLEIDIAI_DOWNLOAD_URL}
             DOWNLOAD_EXTRACT_TIMESTAMP NEW
             URL_HASH MD5=${KLEIDIAI_ARCHIVE_MD5})
 
-        FetchContent_MakeAvailable(KleidiAI_Download)
         FetchContent_GetProperties(KleidiAI_Download
             SOURCE_DIR  KLEIDIAI_SRC
             POPULATED   KLEIDIAI_POPULATED)
 
         if (NOT KLEIDIAI_POPULATED)
-            message(FATAL_ERROR "KleidiAI source downloaded failed.")
+            FetchContent_Populate(KleidiAI_Download)
+            FetchContent_GetProperties(KleidiAI_Download SOURCE_DIR KLEIDIAI_SRC)
         endif()
 
         add_compile_definitions(GGML_USE_CPU_KLEIDIAI)
 
-        # Remove kleidiai target after fetching it
-        if (TARGET kleidiai)
-            set_target_properties(kleidiai PROPERTIES EXCLUDE_FROM_ALL TRUE)
-        endif()
-
         list(APPEND GGML_CPU_SOURCES
             ggml-cpu/kleidiai/kleidiai.cpp
             ggml-cpu/kleidiai/kernels.cpp
@@ -606,6 +608,7 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
             ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/
             ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/
             ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/
+            ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/
             ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/)
 
         set(ARCH_FLAGS_TEMP "${ARCH_FLAGS}")
@@ -646,7 +649,6 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
 
         if (NOT SME_ENABLED MATCHES -1)
             list(APPEND GGML_KLEIDIAI_SOURCES
-                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa.c
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qsi8d32p_qsi4c32p/kai_matmul_clamp_f32_qsi8d32p1x4_qsi4c32p4vlx4_1x4vl_sme2_sdot.c
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1vlx4_qsi8cxp4vlx4_1vlx4vl_sme2_mopa.c
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1vlx4_qsi8cxp4vlx4_1vlx4vl_sme2_mopa_asm.S
@@ -654,10 +656,13 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_qai8dxp_qsi8cxp/kai_matmul_clamp_f32_qai8dxp1x4_qsi8cxp4vlx4_1x4vl_sme2_dot_asm.S
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/kai_matmul_clamp_f32_bf16p2vlx2_bf16p2vlx2_2vlx2vl_sme2_mopa.c
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/kai_matmul_clamp_f32_bf16p2vlx2_bf16p2vlx2_2vlx2vl_sme2_mopa_asm.S
+                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa.c
+                ${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa_asm.S
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_pack_bf16p2vlx2_f32_sme.c
                 ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_rhs_pack_kxn_bf16p2vlx2b_f32_x32_sme.c
+                ${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_pack_f16pmrx2_f32_neon.c
                 ${KLEIDIAI_SRC}/kai/kai_common_sme_asm.S)
-            set(PRIVATE_ARCH_FLAGS "-fno-tree-vectorize;${PRIVATE_ARCH_FLAGS}+sve+sve2")
+            set(PRIVATE_ARCH_FLAGS "-fno-tree-vectorize;${PRIVATE_ARCH_FLAGS}+sve+sve2+sme2+fp16")
         endif()
 
         if (NOT SVE_ENABLED MATCHES -1)
diff --git a/ggml/src/ggml-cpu/amx/amx.cpp b/ggml/src/ggml-cpu/amx/amx.cpp
index 895a5713753..9baf3e025e6 100644
--- a/ggml/src/ggml-cpu/amx/amx.cpp
+++ b/ggml/src/ggml-cpu/amx/amx.cpp
@@ -141,27 +141,50 @@ static size_t ggml_backend_amx_buffer_type_get_alignment(ggml_backend_buffer_typ
 namespace ggml::cpu::amx {
 class extra_buffer_type : ggml::cpu::extra_buffer_type {
     bool supports_op(ggml_backend_dev_t, const struct ggml_tensor * op) override {
-        // handle only 2d gemm for now
-        auto is_contiguous_2d = [](const struct ggml_tensor * t) {
-            return ggml_is_contiguous(t) && t->ne[3] == 1 && t->ne[2] == 1;
-        };
-
-        if (op->op == GGML_OP_MUL_MAT && is_contiguous_2d(op->src[0]) &&  // src0 must be contiguous
-            is_contiguous_2d(op->src[1]) &&                               // src1 must be contiguous
-            op->src[0]->buffer && op->src[0]->buffer->buft == ggml_backend_amx_buffer_type() &&
-            op->src[0]->ne[0] % (TILE_K * 2 * 32) == 0 && // TODO: not sure if correct (https://github.com/ggml-org/llama.cpp/pull/16315)
-            op->ne[0] % (TILE_N * 2) == 0 &&                              // out_features is 32x
-            (qtype_has_amx_kernels(op->src[0]->type) || (op->src[0]->type == GGML_TYPE_F16))) {
-            // src1 must be host buffer
-            if (op->src[1]->buffer && !ggml_backend_buft_is_host(op->src[1]->buffer->buft)) {
+        if (op->op != GGML_OP_MUL_MAT) {
+            return false;
+        }
+        auto * src0 = op->src[0];
+        auto * src1 = op->src[1];
+
+        if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+            return false;
+        }
+        if (!src0->buffer || src0->buffer->buft != ggml_backend_amx_buffer_type()) {
+            return false;
+        }
+        if (src1->buffer && !ggml_backend_buft_is_host(src1->buffer->buft)) {
+            return false;
+        }
+        if (op->ne[0] % (TILE_N * 2)) {
+            return false;
+        }
+        int alignment;
+        switch (src0->type) {
+            case GGML_TYPE_Q4_0:
+            case GGML_TYPE_Q4_1:
+            case GGML_TYPE_Q8_0:
+                alignment = TILE_K;
+                break;
+            case GGML_TYPE_Q4_K:
+            case GGML_TYPE_Q5_K:
+            case GGML_TYPE_Q6_K:
+            case GGML_TYPE_IQ4_XS:
+                alignment = 256; // QK_K
+                break;
+            case GGML_TYPE_F16:
+                alignment = 16;
+                break;
+            default:
                 return false;
-            }
-            // src1 must be float32
-            if (op->src[1]->type == GGML_TYPE_F32) {
-                return true;
-            }
         }
-        return false;
+        if (src0->ne[0] % alignment) {
+            return false;
+        }
+        if (src1->type != GGML_TYPE_F32) {
+            return false;
+        }
+        return true;
     }
 
     ggml::cpu::tensor_traits * get_tensor_traits(const struct ggml_tensor * op) override {
diff --git a/ggml/src/ggml-cpu/amx/common.h b/ggml/src/ggml-cpu/amx/common.h
index f392e898518..26a6ec1a2d0 100644
--- a/ggml/src/ggml-cpu/amx/common.h
+++ b/ggml/src/ggml-cpu/amx/common.h
@@ -9,6 +9,8 @@
 
 #if defined(GGML_USE_OPENMP)
 #include <omp.h>
+#else
+#include <thread>
 #endif
 
 #define TILE_M 16
@@ -56,18 +58,40 @@ inline void balance211(T n, T nth, T ith, T& n_start, T& n_end) {
 }
 
 template <typename func_t>
-inline void parallel_for(int n, const func_t& f) {
+inline void parallel_for(int n, const func_t & f) {
+    if (n <= 0) {
+        return;
+    }
 #if defined(GGML_USE_OPENMP)
-#pragma omp parallel
-{
-    int nth = omp_get_num_threads();
-    int ith = omp_get_thread_num();
-    int tbegin, tend;
-    balance211(n, nth, ith, tbegin, tend);
-    f(tbegin, tend);
-}
+    #pragma omp parallel
+    {
+        int nth = omp_get_num_threads();
+        int ith = omp_get_thread_num();
+        int tbegin, tend;
+        balance211(n, nth, ith, tbegin, tend);
+        f(tbegin, tend);
+    }
 #else
-    f(0, n);
+    int nth = std::thread::hardware_concurrency();
+    if (nth <= 1) {
+        f(0, n);
+        return;
+    }
+    if (nth > n) {
+        nth = n;
+    }
+    std::vector<std::thread> threads;
+    threads.reserve(nth);
+    for (int ith = 0; ith < nth; ++ith) {
+        threads.emplace_back([&f, n, ith, nth] {
+            int tbegin, tend;
+            balance211(n, nth, ith, tbegin, tend);
+            f(tbegin, tend);
+        });
+    }
+    for (auto & t : threads) {
+        t.join();
+    }
 #endif
 }
 
diff --git a/ggml/src/ggml-cpu/amx/mmq.cpp b/ggml/src/ggml-cpu/amx/mmq.cpp
index 47c61b88164..93a6d397f79 100644
--- a/ggml/src/ggml-cpu/amx/mmq.cpp
+++ b/ggml/src/ggml-cpu/amx/mmq.cpp
@@ -1,4 +1,3 @@
-
 #if defined(__GNUC__)
 #pragma GCC diagnostic ignored "-Wpedantic"
 #pragma GCC diagnostic ignored "-Wunused-local-typedefs"
@@ -196,41 +195,33 @@ struct tile_config_t{
 // will be needed.
 //
 // Here another commonly used pattern 1-3-3 is skipped, as it is mostly used when m <=16;
-// and the sinlge batch gemm (m=1) has a special fast path with `avx512-vnni`.
+// and the single batch gemm (m=1) has a special fast path with `avx512-vnni`.
 //
 // ref: https://www.intel.com/content/www/us/en/developer/articles/code-sample/
 //    advanced-matrix-extensions-intrinsics-functions.html
 //
 
-#define TC_CONFIG_TILE(i, r, cb) tc.rows[i] = r; tc.colsb[i] = cb
-void ggml_tile_config_init(void) {
-    static thread_local bool is_first_time = true;
+inline void ggml_tile_config_init(void) {
+    static thread_local bool done = false;
 
-    if (!is_first_time) {
+    if (done) {
         return;
     }
 
-    static thread_local tile_config_t tc;
-    tile_config_t current_tc;
-    _tile_storeconfig(&current_tc);
-
-    // load only when config changes
-    if (tc.palette_id == 0 || (memcmp(&current_tc.colsb, &tc.colsb, sizeof(uint16_t) * 8) != 0 &&
-                               memcmp(&current_tc.rows, &tc.rows, sizeof(uint8_t) * 8) != 0)) {
-        tc.palette_id = 1;
-        tc.start_row = 0;
-        TC_CONFIG_TILE(TMM0, 8, 64);
-        TC_CONFIG_TILE(TMM1, 8, 64);
-        TC_CONFIG_TILE(TMM2, 16, 32);
-        TC_CONFIG_TILE(TMM3, 16, 32);
-        TC_CONFIG_TILE(TMM4, 16, 64);
-        TC_CONFIG_TILE(TMM5, 16, 64);
-        TC_CONFIG_TILE(TMM6, 16, 64);
-        TC_CONFIG_TILE(TMM7, 16, 64);
-        _tile_loadconfig(&tc);
-    }
-
-    is_first_time = false;
+    alignas(64) tile_config_t tc = {};
+    tc.palette_id = 1;
+    tc.start_row = 0;
+    tc.rows[0] = 8;   tc.colsb[0] = 64;
+    tc.rows[1] = 8;   tc.colsb[1] = 64;
+    tc.rows[2] = 16;  tc.colsb[2] = 32;
+    tc.rows[3] = 16;  tc.colsb[3] = 32;
+    tc.rows[4] = 16;  tc.colsb[4] = 64;
+    tc.rows[5] = 16;  tc.colsb[5] = 64;
+    tc.rows[6] = 16;  tc.colsb[6] = 64;
+    tc.rows[7] = 16;  tc.colsb[7] = 64;
+
+    _tile_loadconfig(&tc);
+    done = true;
 }
 
 // we need an extra 16 * 4B (TILE_N * int32_t) for each NB/KB block for compensation.
@@ -268,33 +259,6 @@ int get_row_size(int K) {
     return row_size;
 }
 
-// vectorized dtype conversion
-inline float FP16_TO_FP32(ggml_half val) {
-    __m256i v = _mm256_setr_epi16(
-        val, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0);
-    __m512 o = _mm512_cvtph_ps(v);
-    return _mm512_cvtss_f32(o);
-}
-
-inline __m512 FP16_TO_FP32_VEC(ggml_half val) {
-    __m256i v = _mm256_set1_epi16(val);
-    return _mm512_cvtph_ps(v);
-}
-
-// horizontal reduce
-inline float _mm512_reduce_max_ps(const __m512 x) {
-    __m512 v = x;
-    __m512 v1 = _mm512_shuffle_f32x4(v, v, 0x4E);
-    v = _mm512_max_ps(v, v1);
-    v1 = _mm512_shuffle_f32x4(v, v, 0xB1);
-    v = _mm512_max_ps(v, v1);
-    v1 = _mm512_shuffle_ps(v, v, 0x4E);
-    v = _mm512_max_ps(v, v1);
-    v1 = _mm512_shuffle_ps(v, v, 0xB1);
-    v = _mm512_max_ps(v, v1);
-    return _mm512_cvtss_f32(v);
-}
-
 // transpose utils
 #define SHUFFLE_EPI32(a, b, mask) \
     _mm256_castps_si256(_mm256_shuffle_ps(_mm256_castsi256_ps(a), _mm256_castsi256_ps(b), mask))
@@ -1370,9 +1334,9 @@ struct tinygemm_kernel_avx<float, ggml_fp16_t, float, BLOCK_M, BLOCK_N, BLOCK_K>
 
 #define LAUNCH_TINYGEMM_KERNEL_AVX(MB_SIZE, NB_SIZE)                                \
     tinygemm_kernel_avx<float, type, float, MB_SIZE, NB_SIZE, blck_size>::apply(    \
-        K, (const float *)src1->data + mb_start * K,                                \
-        (const type *)src0->data + nb_start * K,                                    \
-        (float *)dst->data + mb_start * ldc + nb_start, ldc);
+        K, (const float *)src1->data + src1_offset + mb_start * K,                  \
+        (const type *)src0->data + src0_offset + nb_start * K,                      \
+        (float *)dst->data + dst_offset + mb_start * ldc + nb_start, ldc)
 
 
 // re-organize in the format {NB, KB, TILE_SIZE}:
@@ -1415,8 +1379,8 @@ struct tinygemm_kernel_vnni<block_q8_0, block_q4_0, float, BLOCK_M, BLOCK_N, BLO
         // sum of offsets, shared across COLS
         //
         // avx512-vnni does not have `_mm512_dpbssd_epi32`,
-        // need to transfrom ss to us:
-        //   a * (b - 8) is equavilent to b * a - 8 * a
+        // need to transform ss to us:
+        //   a * (b - 8) is equivalent to b * a - 8 * a
         //   s    u   u                   u   s   u   s
         //
         __m512i vcomp;
@@ -2019,11 +1983,11 @@ struct tinygemm_kernel_vnni<block_q8_K, block_iq4_xs, float, BLOCK_M, BLOCK_N, B
     }
 };
 
-#define LAUNCH_TINYGEMM_KERNEL_VNNI(NB_SIZE)                                         \
-    tinygemm_kernel_vnni<vec_dot_type, type, float, 1, NB_SIZE, blck_size>::apply(   \
-        KB, (const char *)wdata + 0 * row_size_A,                                    \
-        (const char *)src0->data + PACKED_INDEX(nb * kTilesN, 0, KB, TILE_SIZE),     \
-        (float *) dst->data + 0 * N + nb_start, ldc)
+#define LAUNCH_TINYGEMM_KERNEL_VNNI(NB_SIZE)                                                   \
+    tinygemm_kernel_vnni<vec_dot_type, type, float, 1, NB_SIZE, blck_size>::apply(             \
+        KB, wdata_batch,                                                                       \
+        (const char *)src0->data + src0_offset + PACKED_INDEX(nb * kTilesN, 0, KB, TILE_SIZE), \
+        (float *) dst->data + dst_offset + nb_start, ldc)
 
 template <typename TA, typename TB, typename TC, int BLOCK_K,
           typename std::enable_if<!is_type_qkk<TB>::value, int>::type = 0>
@@ -2079,7 +2043,7 @@ void tinygemm_kernel_amx(int M, int N, int KB, const void * RESTRICT _A, const v
         _tile_stored(TMM5, Tile5(C_pre), TILE_N * sizeof(int32_t));
 
         if (need_unpack) {
-            unpack_B<TB>(Tile1, B_blk0);
+            unpack_B<TB>(Tile1, B_blk1);
             _tile_loadd(TMM1, Tile1, TILE_N * VNNI_BLK);
         } else {
             _tile_loadd(TMM1, B_blk1, TILE_N * VNNI_BLK);
@@ -2336,6 +2300,13 @@ void ggml_backend_amx_convert_weight(struct ggml_tensor * tensor, const void * d
     });
 }
 
+// ne2 is passed explicitly to help compiler optimize repeated calls
+inline int64_t ggml_batch_offset(const ggml_tensor * t, int64_t batch_idx, int64_t ne2) {
+    const int64_t i2 = batch_idx % ne2;
+    const int64_t i3 = batch_idx / ne2;
+    return i3 * t->nb[3] + i2 * t->nb[2];
+}
+
 size_t ggml_backend_amx_desired_wsize(const struct ggml_tensor * dst) {
     struct ggml_tensor * src0 = dst->src[0];
 
@@ -2348,12 +2319,13 @@ size_t ggml_backend_amx_desired_wsize(const struct ggml_tensor * dst) {
 
     const int M = dst->ne[1];
     const int K = src0->ne[0];
+    const int64_t n_batch = dst->ne[2] * dst->ne[3];
 
     size_t desired_wsize = 0;
 
     GGML_DISPATCH_QTYPES(TYPE, [&] {
         const size_t row_size_A = K / blck_size * sizeof(vec_dot_type);
-        desired_wsize = M * row_size_A;
+        desired_wsize = n_batch * M * row_size_A;
     });
 
     return desired_wsize;
@@ -2365,7 +2337,7 @@ size_t ggml_backend_amx_desired_wsize(const struct ggml_tensor * dst) {
 // src1: input  in shape of {M, K}, float32
 // dst:  output in shape of {M, N}, float32
 //
-// the function performs: dst = src1 @ src0.T
+// the function performs: dst = src1 @ src0.T for each batch
 //
 void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_tensor * dst) {
     struct ggml_tensor * src0 = dst->src[0];
@@ -2382,17 +2354,26 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
     const int K = src0->ne[0];
     const int ldc = dst->nb[1] / dst->nb[0];
 
+    const int64_t ne2 = dst->ne[2];
+    const int64_t n_batch = ne2 * dst->ne[3];
+
     if (is_floating_type) {
         constexpr int BLOCK_M = 4;
         constexpr int BLOCK_N = 6;
         const int MB = div_up(M, BLOCK_M);
         const int NB = div_up(N, BLOCK_N);
 
-        parallel_for_ggml(params, MB * NB, [&](int begin, int end) {
+        parallel_for_ggml(params, n_batch * MB * NB, [&](int begin, int end) {
             GGML_DISPATCH_FLOATING_TYPES(TYPE, [&] {
                 for (int i = begin; i < end; ++i) {
-                    int mb = i / NB;
-                    int nb = i % NB;
+                    int batch_idx = i / (MB * NB);
+                    int remaining = i % (MB * NB);
+                    int mb = remaining / NB;
+                    int nb = remaining % NB;
+
+                    int64_t src0_offset = ggml_batch_offset(src0, batch_idx, ne2);
+                    int64_t src1_offset = ggml_batch_offset(src1, batch_idx, ne2);
+                    int64_t dst_offset  = ggml_batch_offset(dst,  batch_idx, ne2);
 
                     int mb_start = mb * BLOCK_M;
                     int mb_size = std::min(BLOCK_M, M - mb_start);
@@ -2424,10 +2405,10 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
     void * wdata = params->wdata;
 
     //TODO: performance improvement: merge quant A
-    if (params->ith == 0) {
+ // if (params->ith == 0) {
         GGML_DISPATCH_QTYPES(TYPE, [&] {
             const size_t row_size_A = K / blck_size * sizeof(vec_dot_type);
-            const size_t desired_wsize = M * row_size_A;
+            const size_t desired_wsize = n_batch * M * row_size_A;
             if (params->wsize < desired_wsize) {
                 GGML_ABORT("insufficient work space size");
             }
@@ -2436,12 +2417,19 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
             // Q4_K, Q5_K, Q6_K, IQ4_XS handles 8 TILE_K per blck_size
             GGML_ASSERT(TILE_K == blck_size || TILE_K * 8 == blck_size);
 
-            const float * A_data = static_cast<const float *>(src1->data);
-            for (int m = 0; m < M; ++m) {
-                from_float<vec_dot_type>(A_data + m * K, (char *)wdata + m * row_size_A, K);
-            }
+            parallel_for_ggml(params, n_batch, [&](int begin, int end) {
+                for (int batch_idx = begin; batch_idx < end; ++batch_idx) {
+                    int64_t src1_offset = ggml_batch_offset(src1, batch_idx, ne2);
+                    const float * A_data = (const float *)((const char *)src1->data + src1_offset);
+                    char * wdata_batch = (char *)wdata + batch_idx * M * row_size_A;
+
+                    for (int m = 0; m < M; ++m) {
+                        from_float<vec_dot_type>(A_data + m * K, wdata_batch + m * row_size_A, K);
+                    }
+                }
+            });
         });
-    }
+ // }
 
     ggml_barrier(params->threadpool);
 
@@ -2451,13 +2439,19 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
         constexpr int BLOCK_N = TILE_N * kTilesN;
         const int NB = div_up(N, BLOCK_N);
 
-        parallel_for_ggml(params, NB, [&](int begin, int end) {
+        parallel_for_ggml(params, n_batch * NB, [&](int begin, int end) {
             GGML_DISPATCH_QTYPES(TYPE, [&] {
                 const int KB = K / blck_size;
                 const int TILE_SIZE = get_tile_size<type>();
                 const int row_size_A = KB * sizeof(vec_dot_type);
                 for (int i = begin; i < end; ++i) {
-                    int nb = i;
+                    int batch_idx = i / NB;
+                    int nb = i % NB;
+
+                    int64_t src0_offset = ggml_batch_offset(src0, batch_idx, ne2);
+                    int64_t dst_offset  = ggml_batch_offset(dst,  batch_idx, ne2);
+                    const char * wdata_batch = (const char *)wdata + batch_idx * row_size_A;
+
                     int nb_start = nb * BLOCK_N;
                     int nb_size = std::min(BLOCK_N, N - nb_start); // 32, 64, 96
 
@@ -2481,7 +2475,7 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
     const int MB = div_up(M, BLOCK_M);
     const int NB = div_up(N, BLOCK_N);
 
-    parallel_for_ggml(params, MB * NB, [&](int begin, int end) {
+    parallel_for_ggml(params, n_batch * MB * NB, [&](int begin, int end) {
         // init tile config for each thread
         ggml_tile_config_init();
 
@@ -2491,8 +2485,14 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
             const int row_size_A = KB * sizeof(vec_dot_type);
 
             for (int i = begin; i < end; ++i) {
-                int mb = i / NB;
-                int nb = i % NB;
+                int batch_idx = i / (MB * NB);
+                int remaining = i % (MB * NB);
+                int mb = remaining / NB;
+                int nb = remaining % NB;
+
+                int64_t src0_offset = ggml_batch_offset(src0, batch_idx, ne2);
+                int64_t dst_offset  = ggml_batch_offset(dst,  batch_idx, ne2);
+                const char * wdata_batch = (const char *)wdata + batch_idx * M * row_size_A;
 
                 int mb_start = mb * BLOCK_M;
                 int mb_size = std::min(BLOCK_M, M - mb_start);
@@ -2501,9 +2501,9 @@ void ggml_backend_amx_mul_mat(const ggml_compute_params * params, struct ggml_te
 
                 tinygemm_kernel_amx<vec_dot_type, type, float, blck_size>(
                     mb_size, nb_size, KB,
-                    (const char *)wdata + mb_start * row_size_A,
-                    (const char *)src0->data + PACKED_INDEX(nb * 2, 0, KB, TILE_SIZE),
-                    (float *) dst->data + mb_start * N + nb_start, ldc);
+                    wdata_batch + mb_start * row_size_A,
+                    (const char *)src0->data + src0_offset + PACKED_INDEX(nb * 2, 0, KB, TILE_SIZE),
+                    (float *) dst->data + dst_offset + mb_start * N + nb_start, ldc);
             }
         });
     });
diff --git a/ggml/src/ggml-cpu/arch-fallback.h b/ggml/src/ggml-cpu/arch-fallback.h
index c6eb75b2300..41da829315b 100644
--- a/ggml/src/ggml-cpu/arch-fallback.h
+++ b/ggml/src/ggml-cpu/arch-fallback.h
@@ -15,6 +15,7 @@
 #define ggml_vec_dot_q5_1_q8_1_generic ggml_vec_dot_q5_1_q8_1
 #define ggml_vec_dot_q8_0_q8_0_generic ggml_vec_dot_q8_0_q8_0
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
@@ -42,11 +43,14 @@
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
 #define ggml_gemv_q4_K_8x8_q8_K_generic ggml_gemv_q4_K_8x8_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
@@ -55,11 +59,14 @@
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
 #define ggml_gemm_q4_K_8x8_q8_K_generic ggml_gemm_q4_K_8x8_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
-#define ggml_gemm_q6_K_8x8_q8_K_generic   ggml_gemm_q6_K_8x8_q8_K
+#define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #elif defined(__aarch64__) || defined(__arm__) || defined(_M_ARM) || defined(_M_ARM64)
@@ -67,35 +74,44 @@
 #define ggml_quantize_mat_q8_K_4x4_generic ggml_quantize_mat_q8_K_4x4
 #define ggml_quantize_mat_q8_K_4x8_generic ggml_quantize_mat_q8_K_4x8
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #elif defined(__x86_64__) || defined(__i386__) || defined(_M_IX86) || defined(_M_X64)
+// quants.c
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_K_4x4_generic ggml_quantize_mat_q8_K_4x4
 #define ggml_gemv_q4_0_4x4_q8_0_generic ggml_gemv_q4_0_4x4_q8_0
 #define ggml_gemv_q4_0_4x8_q8_0_generic ggml_gemv_q4_0_4x8_q8_0
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
 #define ggml_gemm_q4_0_4x8_q8_0_generic ggml_gemm_q4_0_4x8_q8_0
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
 #define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #elif defined(__POWERPC__) || defined(__powerpc__)
 // ref: https://github.com/ggml-org/llama.cpp/pull/14146#issuecomment-2972561679
 // quants.c
 #define quantize_row_q8_K_generic quantize_row_q8_K
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
@@ -110,11 +126,14 @@
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
 #define ggml_gemv_q4_K_8x8_q8_K_generic ggml_gemv_q4_K_8x8_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
@@ -123,11 +142,14 @@
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
 #define ggml_gemm_q4_K_8x8_q8_K_generic ggml_gemm_q4_K_8x8_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
 #define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #elif defined(__loongarch64)
@@ -137,6 +159,7 @@
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
@@ -148,11 +171,14 @@
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
 #define ggml_gemv_q4_K_8x8_q8_K_generic ggml_gemv_q4_K_8x8_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
@@ -161,31 +187,23 @@
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
 #define ggml_gemm_q4_K_8x8_q8_K_generic ggml_gemm_q4_K_8x8_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
 #define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #elif defined(__riscv)
 // quants.c
-#define quantize_row_q8_K_generic quantize_row_q8_K
-#define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
-#define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
-#define ggml_vec_dot_iq2_xxs_q8_K_generic ggml_vec_dot_iq2_xxs_q8_K
-#define ggml_vec_dot_iq2_xs_q8_K_generic ggml_vec_dot_iq2_xs_q8_K
-#define ggml_vec_dot_iq2_s_q8_K_generic ggml_vec_dot_iq2_s_q8_K
-#define ggml_vec_dot_iq3_xxs_q8_K_generic ggml_vec_dot_iq3_xxs_q8_K
-#define ggml_vec_dot_iq3_s_q8_K_generic ggml_vec_dot_iq3_s_q8_K
-#define ggml_vec_dot_iq1_s_q8_K_generic ggml_vec_dot_iq1_s_q8_K
-#define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
-#define ggml_vec_dot_iq4_nl_q8_0_generic ggml_vec_dot_iq4_nl_q8_0
-#define ggml_vec_dot_iq4_xs_q8_K_generic ggml_vec_dot_iq4_xs_q8_K
-#define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 // repack.cpp
+#define ggml_quantize_mat_q8_0_4x1_generic ggml_quantize_mat_q8_0_4x1
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
-#define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
+#define ggml_quantize_mat_q8_K_4x1_generic ggml_quantize_mat_q8_K_4x1
 #define ggml_quantize_mat_q8_K_4x4_generic ggml_quantize_mat_q8_K_4x4
 #define ggml_quantize_mat_q8_K_4x8_generic ggml_quantize_mat_q8_K_4x8
 #define ggml_gemv_q4_0_4x4_q8_0_generic ggml_gemv_q4_0_4x4_q8_0
@@ -193,11 +211,14 @@
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
 #define ggml_gemv_q4_K_8x8_q8_K_generic ggml_gemv_q4_K_8x8_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
@@ -205,16 +226,20 @@
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
 #define ggml_gemm_q4_K_8x8_q8_K_generic ggml_gemm_q4_K_8x8_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
 #define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #elif defined(__s390x__)
 // quants.c
 #define quantize_row_q8_K_generic quantize_row_q8_K
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
@@ -236,11 +261,14 @@
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
 #define ggml_gemv_q4_K_8x8_q8_K_generic ggml_gemv_q4_K_8x8_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
@@ -249,11 +277,14 @@
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
 #define ggml_gemm_q4_K_8x8_q8_K_generic ggml_gemm_q4_K_8x8_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
 #define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #elif defined(__wasm__)
@@ -271,6 +302,7 @@
 #define ggml_vec_dot_iq4_nl_q8_0_generic ggml_vec_dot_iq4_nl_q8_0
 #define ggml_vec_dot_iq4_xs_q8_K_generic ggml_vec_dot_iq4_xs_q8_K
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
+#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
@@ -282,11 +314,14 @@
 #define ggml_gemv_q2_K_8x8_q8_K_generic ggml_gemv_q2_K_8x8_q8_K
 #define ggml_gemv_q4_K_8x4_q8_K_generic ggml_gemv_q4_K_8x4_q8_K
 #define ggml_gemv_q4_K_8x8_q8_K_generic ggml_gemv_q4_K_8x8_q8_K
+#define ggml_gemv_q5_K_8x4_q8_K_generic ggml_gemv_q5_K_8x4_q8_K
 #define ggml_gemv_q5_K_8x8_q8_K_generic ggml_gemv_q5_K_8x8_q8_K
 #define ggml_gemv_q6_K_8x4_q8_K_generic ggml_gemv_q6_K_8x4_q8_K
 #define ggml_gemv_q6_K_8x8_q8_K_generic ggml_gemv_q6_K_8x8_q8_K
 #define ggml_gemv_iq4_nl_4x4_q8_0_generic ggml_gemv_iq4_nl_4x4_q8_0
 #define ggml_gemv_iq4_nl_8x8_q8_0_generic ggml_gemv_iq4_nl_8x8_q8_0
+#define ggml_gemv_mxfp4_4x4_q8_0_generic ggml_gemv_mxfp4_4x4_q8_0
+#define ggml_gemv_mxfp4_8x8_q8_0_generic ggml_gemv_mxfp4_8x8_q8_0
 #define ggml_gemv_q8_0_4x4_q8_0_generic ggml_gemv_q8_0_4x4_q8_0
 #define ggml_gemv_q8_0_4x8_q8_0_generic ggml_gemv_q8_0_4x8_q8_0
 #define ggml_gemm_q4_0_4x4_q8_0_generic ggml_gemm_q4_0_4x4_q8_0
@@ -295,11 +330,14 @@
 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K
 #define ggml_gemm_q4_K_8x4_q8_K_generic ggml_gemm_q4_K_8x4_q8_K
 #define ggml_gemm_q4_K_8x8_q8_K_generic ggml_gemm_q4_K_8x8_q8_K
+#define ggml_gemm_q5_K_8x4_q8_K_generic ggml_gemm_q5_K_8x4_q8_K
 #define ggml_gemm_q5_K_8x8_q8_K_generic ggml_gemm_q5_K_8x8_q8_K
 #define ggml_gemm_q6_K_8x4_q8_K_generic ggml_gemm_q6_K_8x4_q8_K
 #define ggml_gemm_q6_K_8x8_q8_K_generic ggml_gemm_q6_K_8x8_q8_K
 #define ggml_gemm_iq4_nl_4x4_q8_0_generic ggml_gemm_iq4_nl_4x4_q8_0
 #define ggml_gemm_iq4_nl_8x8_q8_0_generic ggml_gemm_iq4_nl_8x8_q8_0
+#define ggml_gemm_mxfp4_4x4_q8_0_generic ggml_gemm_mxfp4_4x4_q8_0
+#define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0
 #define ggml_gemm_q8_0_4x4_q8_0_generic ggml_gemm_q8_0_4x4_q8_0
 #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
 #endif
diff --git a/ggml/src/ggml-cpu/arch/arm/quants.c b/ggml/src/ggml-cpu/arch/arm/quants.c
index b390ab61c78..c1856201b31 100644
--- a/ggml/src/ggml-cpu/arch/arm/quants.c
+++ b/ggml/src/ggml-cpu/arch/arm/quants.c
@@ -650,6 +650,90 @@ void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
     *s = sumf;
 }
 
+void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_NVFP4 == 0);
+
+    const block_nvfp4 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+    // Each NVFP4 super-block (64 elements) spans 2 q8_0 blocks
+    const int nb = n / QK_NVFP4;
+
+    float sumf = 0;
+
+#if defined __ARM_NEON
+    const int8x16_t values = vld1q_s8(kvalues_mxfp4);
+    const uint8x16_t m4b = vdupq_n_u8(0x0f);
+    float32x4_t acc = vdupq_n_f32(0.0f);
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const uint8x16_t q4bits_0 = vld1q_u8(x[ib].qs);
+        const uint8x16_t q4bits_1 = vld1q_u8(x[ib].qs + 16);
+
+        const int8x16_t q4_lo_0 = ggml_vqtbl1q_s8(values, vandq_u8  (q4bits_0, m4b));
+        const int8x16_t q4_hi_0 = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits_0, 4));
+        const int8x16_t q4_lo_1 = ggml_vqtbl1q_s8(values, vandq_u8  (q4bits_1, m4b));
+        const int8x16_t q4_hi_1 = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits_1, 4));
+
+        const int8x16_t q8_0a = vld1q_s8(y[2*ib].qs);
+        const int8x16_t q8_0b = vld1q_s8(y[2*ib].qs + 16);
+        const int8x16_t q8_lo_0 = vcombine_s8(vget_low_s8(q8_0a), vget_low_s8(q8_0b));
+        const int8x16_t q8_hi_0 = vcombine_s8(vget_high_s8(q8_0a), vget_high_s8(q8_0b));
+
+        const int8x16_t q8_1a = vld1q_s8(y[2*ib+1].qs);
+        const int8x16_t q8_1b = vld1q_s8(y[2*ib+1].qs + 16);
+        const int8x16_t q8_lo_1 = vcombine_s8(vget_low_s8(q8_1a), vget_low_s8(q8_1b));
+        const int8x16_t q8_hi_1 = vcombine_s8(vget_high_s8(q8_1a), vget_high_s8(q8_1b));
+
+        const int32x4_t p0 = vaddq_s32(
+            ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_0, q8_lo_0),
+            ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_0, q8_hi_0));
+        const int32x4_t p1 = vaddq_s32(
+            ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_1, q8_lo_1),
+            ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_1, q8_hi_1));
+
+        const int32x4_t sums = vpaddq_s32(p0, p1);
+
+        // Decode 4 UE4M3 scales to f32 and multiply with q8 scales
+        const float dy0 = GGML_CPU_FP16_TO_FP32(y[2*ib].d);
+        const float dy1 = GGML_CPU_FP16_TO_FP32(y[2*ib+1].d);
+        const float32x4_t nvsc = {
+            ggml_ue4m3_to_fp32(x[ib].d[0]),
+            ggml_ue4m3_to_fp32(x[ib].d[1]),
+            ggml_ue4m3_to_fp32(x[ib].d[2]),
+            ggml_ue4m3_to_fp32(x[ib].d[3])
+        };
+        const float32x4_t scales = vmulq_f32(nvsc, (float32x4_t){dy0, dy0, dy1, dy1});
+
+        acc = vfmaq_f32(acc, vcvtq_f32_s32(sums), scales);
+    }
+    sumf = vaddvq_f32(acc);
+#else
+    for (int ib = 0; ib < nb; ++ib) {
+        for (int si = 0; si < 4; ++si) {
+            const float d = ggml_ue4m3_to_fp32(x[ib].d[si]);
+            const int q8b = si / 2;
+            const int q8o = (si % 2) * QK_NVFP4_SUB;
+            const float dy = GGML_CPU_FP16_TO_FP32(y[2*ib + q8b].d);
+
+            int sumi_lo = 0, sumi_hi = 0;
+            for (int j = 0; j < QK_NVFP4_SUB/2; ++j) {
+                const uint8_t qv = x[ib].qs[si*(QK_NVFP4_SUB/2) + j];
+                sumi_lo += y[2*ib + q8b].qs[q8o + j +               0] * kvalues_mxfp4[qv & 0xf];
+                sumi_hi += y[2*ib + q8b].qs[q8o + j + QK_NVFP4_SUB/2] * kvalues_mxfp4[qv >>  4];
+            }
+            sumf += dy * d * (sumi_lo + sumi_hi);
+        }
+    }
+#endif
+    *s = sumf;
+}
+
 void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
@@ -968,7 +1052,7 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const voi
 
     const int vector_length = ggml_cpu_get_sve_cnt()*8;
 
-    //VLA Implemenation for SVE
+    //VLA Implementation for SVE
     switch (vector_length) {
         case 128:
             {
diff --git a/ggml/src/ggml-cpu/arch/arm/repack.cpp b/ggml/src/ggml-cpu/arch/arm/repack.cpp
index fd05c609f7e..80ff5ce549b 100644
--- a/ggml/src/ggml-cpu/arch/arm/repack.cpp
+++ b/ggml/src/ggml-cpu/arch/arm/repack.cpp
@@ -498,6 +498,81 @@ void ggml_gemv_iq4_nl_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const
     ggml_gemv_iq4_nl_4x4_q8_0_generic(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemv_mxfp4_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 4;
+
+    assert (n % qk == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if ! ((defined(_MSC_VER)) && ! defined(__clang__)) && defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_DOTPROD)
+    const int8x16_t kvalues = vld1q_s8(kvalues_mxfp4);
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    float * res_ptr = s;
+
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_mxfp4x4 * b_ptr = (const block_mxfp4x4 *) vx + (x * nb);
+
+        float32x4_t sumf = vdupq_n_f32(0);
+        for (int l = 0; l < nb; l++) {
+            uint8x16_t b_0 = vld1q_u8(b_ptr[l].qs + 0);
+            uint8x16_t b_1 = vld1q_u8(b_ptr[l].qs + 16);
+            uint8x16_t b_2 = vld1q_u8(b_ptr[l].qs + 32);
+            uint8x16_t b_3 = vld1q_u8(b_ptr[l].qs + 48);
+
+            int8x16_t b_0_hi = vqtbl1q_s8(kvalues, b_0 >> 4);
+            int8x16_t b_0_lo = vqtbl1q_s8(kvalues, b_0 & 0x0F);
+            int8x16_t b_1_hi = vqtbl1q_s8(kvalues, b_1 >> 4);
+            int8x16_t b_1_lo = vqtbl1q_s8(kvalues, b_1 & 0x0F);
+            int8x16_t b_2_hi = vqtbl1q_s8(kvalues, b_2 >> 4);
+            int8x16_t b_2_lo = vqtbl1q_s8(kvalues, b_2 & 0x0F);
+            int8x16_t b_3_hi = vqtbl1q_s8(kvalues, b_3 >> 4);
+            int8x16_t b_3_lo = vqtbl1q_s8(kvalues, b_3 & 0x0F);
+
+            int8x16_t a_0 = vld1q_s8(a_ptr[l].qs + 0);
+            int8x16_t a_1 = vld1q_s8(a_ptr[l].qs + 16);
+
+            int32x4_t sumi = vdupq_n_s32(0);
+            sumi = vdotq_laneq_s32(sumi, b_0_lo, a_0, 0);
+            sumi = vdotq_laneq_s32(sumi, b_0_hi, a_1, 0);
+            sumi = vdotq_laneq_s32(sumi, b_1_lo, a_0, 1);
+            sumi = vdotq_laneq_s32(sumi, b_1_hi, a_1, 1);
+            sumi = vdotq_laneq_s32(sumi, b_2_lo, a_0, 2);
+            sumi = vdotq_laneq_s32(sumi, b_2_hi, a_1, 2);
+            sumi = vdotq_laneq_s32(sumi, b_3_lo, a_0, 3);
+            sumi = vdotq_laneq_s32(sumi, b_3_hi, a_1, 3);
+
+            float32x4_t a_d = vcvt_f32_f16(vld1_dup_f16((const float16_t *)&a_ptr[l].d));
+            float32x4_t b_d = {
+                GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[0]),
+                GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[1]),
+                GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[2]),
+                GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[3]),
+            };
+            float32x4_t d = a_d * b_d;
+
+            sumf = vmlaq_f32(sumf, d, vcvtq_f32_s32(sumi));
+        }
+
+        vst1q_f32(res_ptr + x * 4, sumf);
+    }
+    return;
+#endif // #if ! ((defined(_MSC_VER)) && ! defined(__clang__)) && defined(__aarch64__) && defined(__ARM_NEON)
+    ggml_gemv_mxfp4_4x4_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
 void ggml_gemv_q4_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     constexpr int qk = QK_K;
     const int     nb = n / qk;
@@ -706,7 +781,7 @@ void ggml_gemv_q4_K_8x8_q8_K(int                        n,
 
                 const uint8_t * q4_base = q4_ptr[b].qs + sb * QK_K;
 
-                // Load the 64 quants from q8K duplicated to use vecdots with the interelaved columns
+                // Load the 64 quants from q8K duplicated to use vecdots with the interleaved columns
                 // but still need the qs to use the low and hi bits from q4
                 const int8_t * q8_base = q8_ptr[b].qs + sb * 64;
                 int8x16_t      q8_qs[8];
@@ -785,6 +860,165 @@ void ggml_gemv_q4_K_8x8_q8_K(int                        n,
     ggml_gemv_q4_K_8x8_q8_K_generic(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemv_q5_K_8x4_q8_K(int                        n,
+                             float * GGML_RESTRICT      s,
+                             size_t                     bs,
+                             const void * GGML_RESTRICT vx,
+                             const void * GGML_RESTRICT vy,
+                             int                        nr,
+                             int                        nc) {
+    constexpr int qk = QK_K;
+    const int     nb = n / qk;
+
+    constexpr int ncols_interleaved = 8;
+    constexpr int blocklen          = 4;
+
+    assert(n % qk == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_DOTPROD)
+    constexpr int    col_groups = ncols_interleaved / 4;  // 0123 and 4567
+    const uint8x16_t m4b        = vdupq_n_u8(0x0f);
+    const uint8x16_t mone       = vdupq_n_u8(1);
+    const uint8x16_t mtwo       = vdupq_n_u8(2);
+
+    // 1x8 tile = 2 x 4
+    float32x4_t acc_f32[col_groups];
+
+    const block_q8_K * GGML_RESTRICT q8_ptr = (const block_q8_K *) vy;
+
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q5_Kx8 * GGML_RESTRICT q5_ptr = (const block_q5_Kx8 *) vx + (x * nb);
+
+        for (int i = 0; i < col_groups; i++) {
+            acc_f32[i] = vdupq_n_f32(0);
+        }
+
+        for (int b = 0; b < nb; b++) {
+            float32x4_t q5_d_0        = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].d));      // d0 d1 d2 d3
+            float32x4_t q5_d_1        = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].d + 4));  // d4 d5 d6 d7
+            float32x4_t q8_d          = vdupq_n_f32(q8_ptr[b].d);
+            float32x4_t sb_scale_0123 = vmulq_f32(q5_d_0, q8_d);
+            float32x4_t sb_scale_4567 = vmulq_f32(q5_d_1, q8_d);
+            float32x4_t q5_dmin_0     = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].dmin));      // dmin 0..3
+            float32x4_t q5_dmin_1     = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].dmin + 4));  // dmin 4..7
+            float32x4_t sb_min_0123   = vmulq_f32(q5_dmin_0, q8_d);
+            float32x4_t sb_min_4567   = vmulq_f32(q5_dmin_1, q8_d);
+
+            // interleaved bias_acc: [0]->r0 0123, [1]->r0 4567
+            int32x4_t bias_acc[2] = { vdupq_n_s32(0), vdupq_n_s32(0) };
+            int32x4_t acc_lo[col_groups];
+            int32x4_t acc_hi[col_groups];
+
+            // Each bsum is 16 elements, pairwise add leaves us with the 8 bsums of the entire block
+            const int16x8_t bsums = vpaddq_s16(vld1q_s16(q8_ptr[b].bsums), vld1q_s16(q8_ptr[b].bsums + 8));
+            int16_t         bsums_arr[8];
+            vst1q_s16(bsums_arr, bsums);
+
+            uint8x16_t qh[col_groups][8];
+            for (int c = 0; c < col_groups; c++) {
+                for (int i = 0; i < 8; i++) {
+                    qh[c][i] = vld1q_u8(q5_ptr[b].qh + i * 32 + 16 * c);
+                }
+            }
+
+            for (int sb = 0; sb < QK_K / 64; sb++) {
+                for (int i = 0; i < col_groups; i++) {
+                    acc_lo[i] = vdupq_n_s32(0);
+                    acc_hi[i] = vdupq_n_s32(0);
+                }
+                // Need scales for the low and high nibbles
+                // 2 * 12 = 24 bytes per subblock, 4 sbs -> 4 * 24 = 96 bytes total
+                int16x8_t q5sb_mins[2];
+                int16x8_t q5sb_scales[2];
+                for (int i = 0; i < 2; i++) {
+                    int8_t    aux_q5sb[8];
+                    const int offset = sb * 24 + i * 12;
+                    decode_q_Kx8_6bit_scales(&q5_ptr[b].scales[offset], &q5sb_mins[i], aux_q5sb);
+                    q5sb_scales[i] = vmovl_s8(vld1_s8(aux_q5sb));
+                }
+
+                int8x16_t q8_qs[4];
+                for (int i = 0; i < 4; i++) {
+                    q8_qs[i] = vld1q_s8(q8_ptr[b].qs + sb * 64 + i * 16);
+                }
+
+                for (int c = 0; c < col_groups; c++) {
+                    uint8x16_t q5_cols[8];
+                    uint8x16_t hbit_lo[8];
+                    uint8x16_t hbit_hi[8];
+                    int8x16_t  q5_lo[8];
+                    int8x16_t  q5_hi[8];
+
+                    for (int i = 0; i < 8; i++) {
+                        q5_cols[i] = vld1q_u8(q5_ptr[b].qs + sb * QK_K + i * 32 + 16 * c);
+                        hbit_lo[i] = vandq_u8(qh[c][i], mone);
+                        hbit_hi[i] = vshlq_n_u8(vandq_u8(qh[c][i], mtwo), 3);
+                        qh[c][i]   = vshrq_n_u8(qh[c][i], 2);
+                        q5_lo[i]   = vreinterpretq_s8_u8(vsliq_n_u8(vandq_u8(q5_cols[i], m4b), hbit_lo[i], 4));
+                        q5_hi[i]   = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5_cols[i], 4), hbit_hi[i]));
+                    }
+
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[0], q8_qs[0], 0);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[1], q8_qs[0], 1);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[2], q8_qs[0], 2);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[3], q8_qs[0], 3);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[4], q8_qs[1], 0);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[5], q8_qs[1], 1);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[6], q8_qs[1], 2);
+                    acc_lo[c] = vdotq_laneq_s32(acc_lo[c], q5_lo[7], q8_qs[1], 3);
+
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[0], q8_qs[2], 0);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[1], q8_qs[2], 1);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[2], q8_qs[2], 2);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[3], q8_qs[2], 3);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[4], q8_qs[3], 0);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[5], q8_qs[3], 1);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[6], q8_qs[3], 2);
+                    acc_hi[c] = vdotq_laneq_s32(acc_hi[c], q5_hi[7], q8_qs[3], 3);
+                }
+
+                // Scales
+                // row c0123 blk0 and blk1
+                const int16x4_t   sc_0123_lo = vget_low_s16(q5sb_scales[0]);
+                const int16x4_t   sc_0123_hi = vget_low_s16(q5sb_scales[1]);
+                const float32x4_t sumf_0123  = vcvtq_f32_s32(vaddq_s32(vmulq_s32(vmovl_s16(sc_0123_lo), acc_lo[0]),
+                                                                       vmulq_s32(vmovl_s16(sc_0123_hi), acc_hi[0])));
+                acc_f32[0]                   = vfmaq_f32(acc_f32[0], sb_scale_0123, sumf_0123);
+                // row c4567 blk0 and blk1
+                const int16x4_t   sc_4567_lo = vget_high_s16(q5sb_scales[0]);
+                const int16x4_t   sc_4567_hi = vget_high_s16(q5sb_scales[1]);
+                const float32x4_t sumf_4567  = vcvtq_f32_s32(vaddq_s32(vmulq_s32(vmovl_s16(sc_4567_lo), acc_lo[1]),
+                                                                       vmulq_s32(vmovl_s16(sc_4567_hi), acc_hi[1])));
+                acc_f32[1]                   = vfmaq_f32(acc_f32[1], sb_scale_4567, sumf_4567);
+
+                // Bias Correction
+                const int16x4_t bsums_vec_lo = vdup_n_s16(bsums_arr[2 * sb + 0]);
+                const int16x4_t bsums_vec_hi = vdup_n_s16(bsums_arr[2 * sb + 1]);
+
+                bias_acc[0] = vmlal_s16(bias_acc[0], bsums_vec_lo, vget_low_s16(q5sb_mins[0]));
+                bias_acc[0] = vmlal_s16(bias_acc[0], bsums_vec_hi, vget_low_s16(q5sb_mins[1]));
+                bias_acc[1] = vmlal_s16(bias_acc[1], bsums_vec_lo, vget_high_s16(q5sb_mins[0]));
+                bias_acc[1] = vmlal_s16(bias_acc[1], bsums_vec_hi, vget_high_s16(q5sb_mins[1]));
+            }  // for sb
+
+            acc_f32[0] = vmlsq_f32(acc_f32[0], vcvtq_f32_s32(bias_acc[0]), sb_min_0123);
+            acc_f32[1] = vmlsq_f32(acc_f32[1], vcvtq_f32_s32(bias_acc[1]), sb_min_4567);
+        }  // for b
+
+        int base = x * ncols_interleaved;
+        vst1q_f32(s + base, acc_f32[0]);
+        vst1q_f32(s + base + 4, acc_f32[1]);
+    }  // for x
+    return;
+#endif  // defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_DOTPROD)
+    ggml_gemv_q5_K_8x4_q8_K_generic(n, s, bs, vx, vy, nr, nc);
+}
+
 void ggml_gemv_q5_K_8x8_q8_K(int                        n,
                              float * GGML_RESTRICT      s,
                              size_t                     bs,
@@ -3005,6 +3239,87 @@ void ggml_gemm_iq4_nl_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const
     ggml_gemm_iq4_nl_4x4_q8_0_generic(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemm_mxfp4_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 4;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if ! ((defined(_MSC_VER)) && ! defined(__clang__)) && defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_DOTPROD)
+    const int8x16_t kvalues = vld1q_s8(kvalues_mxfp4);
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_mxfp4x4 * b_ptr = (const block_mxfp4x4 *) vx + (x * nb);
+
+            float32x4_t sumf[4];
+            for (int m = 0; m < 4; m++) {
+                sumf[m] = vdupq_n_f32(0);
+            }
+
+            for (int l = 0; l < nb; l++) {
+                float32x4_t a_d = vcvt_f32_f16(vld1_f16((const float16_t *)a_ptr[l].d));
+                float32x4_t b_d = {
+                    GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[0]),
+                    GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[1]),
+                    GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[2]),
+                    GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[3]),
+                };
+
+                int32x4_t sumi_0 = vdupq_n_s32(0);
+                int32x4_t sumi_1 = vdupq_n_s32(0);
+                int32x4_t sumi_2 = vdupq_n_s32(0);
+                int32x4_t sumi_3 = vdupq_n_s32(0);
+
+                for (int k = 0; k < 4; k++) {
+                    int8x16_t a_0 = vld1q_s8(a_ptr[l].qs + 16 * k + 0);
+                    int8x16_t a_1 = vld1q_s8(a_ptr[l].qs + 16 * k + 64);
+
+                    uint8x16_t b = vld1q_u8(b_ptr[l].qs + 16 * k);
+                    int8x16_t b_hi = vqtbl1q_s8(kvalues, b >> 4);
+                    int8x16_t b_lo = vqtbl1q_s8(kvalues, b & 0xF);
+
+                    sumi_0 = vdotq_laneq_s32(sumi_0, b_lo, a_0, 0);
+                    sumi_1 = vdotq_laneq_s32(sumi_1, b_lo, a_0, 1);
+                    sumi_2 = vdotq_laneq_s32(sumi_2, b_lo, a_0, 2);
+                    sumi_3 = vdotq_laneq_s32(sumi_3, b_lo, a_0, 3);
+                    sumi_0 = vdotq_laneq_s32(sumi_0, b_hi, a_1, 0);
+                    sumi_1 = vdotq_laneq_s32(sumi_1, b_hi, a_1, 1);
+                    sumi_2 = vdotq_laneq_s32(sumi_2, b_hi, a_1, 2);
+                    sumi_3 = vdotq_laneq_s32(sumi_3, b_hi, a_1, 3);
+                }
+
+                sumf[0] = vmlaq_f32(sumf[0], vmulq_laneq_f32(b_d, a_d, 0), vcvtq_f32_s32(sumi_0));
+                sumf[1] = vmlaq_f32(sumf[1], vmulq_laneq_f32(b_d, a_d, 1), vcvtq_f32_s32(sumi_1));
+                sumf[2] = vmlaq_f32(sumf[2], vmulq_laneq_f32(b_d, a_d, 2), vcvtq_f32_s32(sumi_2));
+                sumf[3] = vmlaq_f32(sumf[3], vmulq_laneq_f32(b_d, a_d, 3), vcvtq_f32_s32(sumi_3));
+            }
+
+            for (int m = 0; m < 4; m++) {
+                vst1q_f32(s + (y * 4 + m) * bs + x * 4, sumf[m]);
+            }
+        }
+    }
+    return;
+#endif // #if ! ((defined(_MSC_VER)) && ! defined(__clang__)) && defined(__aarch64__) && defined(__ARM_NEON)
+    ggml_gemm_mxfp4_4x4_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
 void ggml_gemm_q4_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     constexpr int qk = QK_K;
     const int     nb = n / qk;
@@ -3205,6 +3520,235 @@ void ggml_gemm_q4_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
     ggml_gemm_q4_K_8x4_q8_K_generic(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemm_q5_K_8x4_q8_K(int                        n,
+                             float * GGML_RESTRICT      s,
+                             size_t                     bs,
+                             const void * GGML_RESTRICT vx,
+                             const void * GGML_RESTRICT vy,
+                             int                        nr,
+                             int                        nc) {
+    constexpr int qk = QK_K;
+    const int     nb = n / qk;
+
+    constexpr int ncols_interleaved = 8;
+    constexpr int blocklen          = 4;
+
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_DOTPROD)
+    constexpr int    q8_k_blocklen = 4;
+    constexpr int    acc_size      = 2 * 4;  // 2 row pairs, 4 col pairs
+    constexpr int    col_groups    = ncols_interleaved / 4;
+    const uint8x16_t m4b           = vdupq_n_u8(0x0f);
+    const uint8x16_t mone          = vdupq_n_u8(1);
+    const uint8x16_t mtwo          = vdupq_n_u8(2);
+
+    // 8 accumulators: 2 row pairs, 4 col pairs
+    float32x4_t acc_f32[acc_size];
+
+    for (int y = 0; y < nr / q8_k_blocklen; y++) {
+        const block_q8_Kx4 * GGML_RESTRICT q8_ptr = (const block_q8_Kx4 *) vy + (y * nb);
+
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q5_Kx8 * GGML_RESTRICT q5_ptr = (const block_q5_Kx8 *) vx + (x * nb);
+
+            for (int i = 0; i < acc_size; i++) {
+                acc_f32[i] = vdupq_n_f32(0);
+            }
+
+            for (int b = 0; b < nb; b++) {
+                // d5 0 1 2 3, 4 5 6 7
+                float32x4_t q5_d_0123    = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].d));
+                float32x4_t q5_d_4567    = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].d + 4));
+                // d8 0 1 2 3
+                float32x4_t q8_d_0123    = vld1q_f32(q8_ptr[b].d);
+                // mins
+                float32x4_t q5_dmin_0123 = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].dmin));
+                float32x4_t q5_dmin_4567 = vcvt_f32_f16(vld1_f16((const __fp16 *) q5_ptr[b].dmin + 4));
+
+                // Precomputation of scales and mins
+                float32x4_t sbd_scale_0123[q8_k_blocklen];
+                float32x4_t sbd_scale_4567[q8_k_blocklen];
+                float32x4_t sbd_min_0123[q8_k_blocklen];
+                float32x4_t sbd_min_4567[q8_k_blocklen];
+
+                sbd_scale_0123[0] = vmulq_laneq_f32(q5_d_0123, q8_d_0123, 0);
+                sbd_scale_4567[0] = vmulq_laneq_f32(q5_d_4567, q8_d_0123, 0);
+                sbd_min_0123[0]   = vmulq_laneq_f32(q5_dmin_0123, q8_d_0123, 0);
+                sbd_min_4567[0]   = vmulq_laneq_f32(q5_dmin_4567, q8_d_0123, 0);
+
+                sbd_scale_0123[1] = vmulq_laneq_f32(q5_d_0123, q8_d_0123, 1);
+                sbd_scale_4567[1] = vmulq_laneq_f32(q5_d_4567, q8_d_0123, 1);
+                sbd_min_0123[1]   = vmulq_laneq_f32(q5_dmin_0123, q8_d_0123, 1);
+                sbd_min_4567[1]   = vmulq_laneq_f32(q5_dmin_4567, q8_d_0123, 1);
+
+                sbd_scale_0123[2] = vmulq_laneq_f32(q5_d_0123, q8_d_0123, 2);
+                sbd_scale_4567[2] = vmulq_laneq_f32(q5_d_4567, q8_d_0123, 2);
+                sbd_min_0123[2]   = vmulq_laneq_f32(q5_dmin_0123, q8_d_0123, 2);
+                sbd_min_4567[2]   = vmulq_laneq_f32(q5_dmin_4567, q8_d_0123, 2);
+
+                sbd_scale_0123[3] = vmulq_laneq_f32(q5_d_0123, q8_d_0123, 3);
+                sbd_scale_4567[3] = vmulq_laneq_f32(q5_d_4567, q8_d_0123, 3);
+                sbd_min_0123[3]   = vmulq_laneq_f32(q5_dmin_0123, q8_d_0123, 3);
+                sbd_min_4567[3]   = vmulq_laneq_f32(q5_dmin_4567, q8_d_0123, 3);
+
+                // Precomputation of bsums, each vpaddq calcs all the bsums for each row
+                const int16x8_t bsums[q8_k_blocklen] = {
+                    vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 0), vld1q_s16(q8_ptr[b].bsums + 16 * 0 + 8)),
+                    vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 1), vld1q_s16(q8_ptr[b].bsums + 16 * 1 + 8)),
+                    vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 2), vld1q_s16(q8_ptr[b].bsums + 16 * 2 + 8)),
+                    vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 3), vld1q_s16(q8_ptr[b].bsums + 16 * 3 + 8)),
+                };
+                int16_t bsums_arr[QK_K / 64][8];
+                for (int q8_row = 0; q8_row < 4; q8_row++) {
+                    vst1q_s16(bsums_arr[q8_row], bsums[q8_row]);
+                }
+
+                // interleaved bias_acc: [0]->r0 0123, [1]->r1 0123, .., [4]->r0 4567, [5]->r1 4567 ..
+                int32x4_t bias_acc[acc_size];
+                for (int i = 0; i < acc_size; i++) {
+                    bias_acc[i] = vdupq_n_s32(0);
+                }
+
+                uint8x16_t qh[col_groups][8];
+                for (int c = 0; c < col_groups; c++) {
+                    for (int i = 0; i < 8; i++) {
+                        qh[c][i] = vld1q_u8(q5_ptr[b].qh + i * 32 + 16 * c);
+                    }
+                }
+
+                for (int sb = 0; sb < QK_K / 64; sb++) {
+                    // Int accumulators for qs vecdot (4 row * 2 col quartets)
+                    int32x4_t acc_lo[acc_size];
+                    int32x4_t acc_hi[acc_size];
+                    for (int i = 0; i < acc_size; i++) {
+                        acc_lo[i] = vdupq_n_s32(0);
+                        acc_hi[i] = vdupq_n_s32(0);
+                    }
+                    // Need scales for the low and high nibbles
+                    // 2 * 12 = 24 bytes per subblock, 4 sbs -> 4 * 24 = 96 bytes total
+                    int16x8_t q5sb_scales[2];
+                    int16x8_t q5sb_mins[2];
+                    for (int i = 0; i < 2; i++) {
+                        int8_t    aux_q5sb[8];
+                        const int offset = sb * 24 + i * 12;
+                        decode_q_Kx8_6bit_scales(&q5_ptr[b].scales[offset], &q5sb_mins[i], aux_q5sb);
+                        q5sb_scales[i] = vmovl_s8(vld1_s8(aux_q5sb));
+                    }
+
+                    constexpr int reads_per_sb = 8;  // 8 * 16 bytes each => 32 qs * 4 rows
+                    for (int k = 0; k < reads_per_sb; k++) {
+                        const int8x16_t q8_blk0 = vld1q_s8(q8_ptr[b].qs + sb * 256 + 16 * k);
+                        const int8x16_t q8_blk1 = vld1q_s8(q8_ptr[b].qs + sb * 256 + 16 * k + 128);
+
+                        // 0..3 & 32..35
+                        const uint8x16_t q5_0123 = vld1q_u8(q5_ptr[b].qs + sb * QK_K + 32 * k);
+                        const uint8x16_t q5_4567 = vld1q_u8(q5_ptr[b].qs + sb * QK_K + 32 * k + 16);
+
+                        // NOTE: This is the only difference with q4_K
+                        const uint8x16_t hbit_lo_0123 = vandq_u8(qh[0][k], mone);
+                        const uint8x16_t hbit_hi_0123 = vshlq_n_u8(vandq_u8(qh[0][k], mtwo), 3);
+                        qh[0][k]                      = vshrq_n_u8(qh[0][k], 2);
+                        const uint8x16_t hbit_lo_4567 = vandq_u8(qh[1][k], mone);
+                        const uint8x16_t hbit_hi_4567 = vshlq_n_u8(vandq_u8(qh[1][k], mtwo), 3);
+                        qh[1][k]                      = vshrq_n_u8(qh[1][k], 2);
+                        // From here, same as q4_K
+
+                        const int8x16_t q5_0123_lo =
+                            vreinterpretq_s8_u8(vsliq_n_u8(vandq_u8(q5_0123, m4b), hbit_lo_0123, 4));
+                        const int8x16_t q5_0123_hi =
+                            vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5_0123, 4), hbit_hi_0123));
+
+                        acc_lo[0] = vdotq_laneq_s32(acc_lo[0], q5_0123_lo, q8_blk0, 0);  //  0..3  r0 c0123
+                        acc_lo[1] = vdotq_laneq_s32(acc_lo[1], q5_0123_lo, q8_blk0, 1);  //  0..3  r1 c0123
+                        acc_lo[2] = vdotq_laneq_s32(acc_lo[2], q5_0123_lo, q8_blk0, 2);  //  0..3  r2 c0123
+                        acc_lo[3] = vdotq_laneq_s32(acc_lo[3], q5_0123_lo, q8_blk0, 3);  //  0..3  r3 c0123
+
+                        acc_hi[0] = vdotq_laneq_s32(acc_hi[0], q5_0123_hi, q8_blk1, 0);  // 32..35 r0 c0123
+                        acc_hi[1] = vdotq_laneq_s32(acc_hi[1], q5_0123_hi, q8_blk1, 1);  // 32..35 r1 c0123
+                        acc_hi[2] = vdotq_laneq_s32(acc_hi[2], q5_0123_hi, q8_blk1, 2);  // 32..35 r2 c0123
+                        acc_hi[3] = vdotq_laneq_s32(acc_hi[3], q5_0123_hi, q8_blk1, 3);  // 32..35 r3 c0123
+
+                        const int8x16_t q5_4567_lo =
+                            vreinterpretq_s8_u8(vsliq_n_u8(vandq_u8(q5_4567, m4b), hbit_lo_4567, 4));
+                        const int8x16_t q5_4567_hi =
+                            vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5_4567, 4), hbit_hi_4567));
+
+                        acc_lo[4] = vdotq_laneq_s32(acc_lo[4], q5_4567_lo, q8_blk0, 0);  //  0..3  r0 c4567
+                        acc_lo[5] = vdotq_laneq_s32(acc_lo[5], q5_4567_lo, q8_blk0, 1);  //  0..3  r1 c4567
+                        acc_lo[6] = vdotq_laneq_s32(acc_lo[6], q5_4567_lo, q8_blk0, 2);  //  0..3  r2 c4567
+                        acc_lo[7] = vdotq_laneq_s32(acc_lo[7], q5_4567_lo, q8_blk0, 3);  //  0..3  r3 c4567
+
+                        acc_hi[4] = vdotq_laneq_s32(acc_hi[4], q5_4567_hi, q8_blk1, 0);  // 32..35 r0 c4567
+                        acc_hi[5] = vdotq_laneq_s32(acc_hi[5], q5_4567_hi, q8_blk1, 1);  // 32..35 r1 c4567
+                        acc_hi[6] = vdotq_laneq_s32(acc_hi[6], q5_4567_hi, q8_blk1, 2);  // 32..35 r2 c4567
+                        acc_hi[7] = vdotq_laneq_s32(acc_hi[7], q5_4567_hi, q8_blk1, 3);  // 32..35 r3 c4567
+                    }
+
+                    // Scale and bias application
+                    // acc is stored interleaved to match output layout
+                    const int16x4_t sc_0123_lo = vget_low_s16(q5sb_scales[0]);
+                    const int16x4_t sc_4567_lo = vget_high_s16(q5sb_scales[0]);
+                    const int16x4_t sc_0123_hi = vget_low_s16(q5sb_scales[1]);
+                    const int16x4_t sc_4567_hi = vget_high_s16(q5sb_scales[1]);
+                    for (int row = 0; row < q8_k_blocklen; row++) {
+                        // Bias correction
+                        // row c0123 blk0 and blk1
+                        const float32x4_t sumf_0123 =
+                            vcvtq_f32_s32(vaddq_s32(vmulq_s32(vmovl_s16(sc_0123_lo), acc_lo[row]),
+                                                    vmulq_s32(vmovl_s16(sc_0123_hi), acc_hi[row])));
+                        acc_f32[2 * row] = vfmaq_f32(acc_f32[2 * row], sbd_scale_0123[row], sumf_0123);
+
+                        // row c4567 blk0 and blk1
+                        const float32x4_t sumf_4567 =
+                            vcvtq_f32_s32(vaddq_s32(vmulq_s32(vmovl_s16(sc_4567_lo), acc_lo[row + 4]),
+                                                    vmulq_s32(vmovl_s16(sc_4567_hi), acc_hi[row + 4])));
+                        acc_f32[2 * row + 1] = vfmaq_f32(acc_f32[2 * row + 1], sbd_scale_4567[row], sumf_4567);
+
+                        // Bias
+                        const int16x4_t bsums_vec_lo = vdup_n_s16(bsums_arr[sb][row * 2]);
+                        const int16x4_t bsums_vec_hi = vdup_n_s16(bsums_arr[sb][row * 2 + 1]);
+
+                        // row c0123 blk0 and blk1
+                        bias_acc[2 * row] = vmlal_s16(bias_acc[2 * row], bsums_vec_lo, vget_low_s16(q5sb_mins[0]));
+                        bias_acc[2 * row] = vmlal_s16(bias_acc[2 * row], bsums_vec_hi, vget_low_s16(q5sb_mins[1]));
+
+                        // row c4567 blk0 and blk1
+                        bias_acc[2 * row + 1] =
+                            vmlal_s16(bias_acc[2 * row + 1], bsums_vec_lo, vget_high_s16(q5sb_mins[0]));
+                        bias_acc[2 * row + 1] =
+                            vmlal_s16(bias_acc[2 * row + 1], bsums_vec_hi, vget_high_s16(q5sb_mins[1]));
+                    }
+                }  // for sb
+
+                for (int row = 0; row < q8_k_blocklen; row++) {
+                    acc_f32[2 * row] = vmlsq_f32(acc_f32[2 * row], vcvtq_f32_s32(bias_acc[2 * row]), sbd_min_0123[row]);
+                    acc_f32[2 * row + 1] =
+                        vmlsq_f32(acc_f32[2 * row + 1], vcvtq_f32_s32(bias_acc[2 * row + 1]), sbd_min_4567[row]);
+                }
+            }  // for b
+
+            for (int i = 0; i < q8_k_blocklen; i++) {
+                int row = y * q8_k_blocklen + i;
+                for (int j = 0; j < 2; j++) {
+                    int col    = x * ncols_interleaved + j * 4;
+                    int offset = row * bs + col;
+                    vst1q_f32(s + offset, acc_f32[2 * i + j]);
+                }
+            }
+        }  // for x
+    }  // for y
+    return;
+#endif  // defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_DOTPROD)
+    ggml_gemm_q5_K_8x4_q8_K_generic(n, s, bs, vx, vy, nr, nc);
+}
+
 void ggml_gemm_q4_K_8x8_q8_K(int                        n,
                              float * GGML_RESTRICT      s,
                              size_t                     bs,
@@ -3226,6 +3770,316 @@ void ggml_gemm_q4_K_8x8_q8_K(int                        n,
     UNUSED(ncols_interleaved);
     UNUSED(blocklen);
 
+#if defined(__aarch64__) && defined(__ARM_FEATURE_SVE) && defined(__ARM_FEATURE_MATMUL_INT8)
+    if (svcntb() * 8 == 256) {
+        constexpr int    q8_k_blocklen = 4;
+        const svuint8_t m4b_1          = svdup_n_u8(0x0f);
+        // 8 accumulators: 2 row pairs × 4 col pairs
+        svfloat32_t acc_f32_01, acc_f32_23, acc_f32_45, acc_f32_67;
+        uint32_t idx_arr[8] = { 0, 2, 4, 6,  1, 3, 5, 7 };
+        svbool_t pg = svptrue_pat_b32(SV_VL8);
+        svuint32_t idx = svld1(pg, idx_arr);
+
+        static const uint32_t idx_data[8] = {0, 4, 2, 6, 1, 5, 3, 7};
+        svuint32_t idx1 = svld1_u32(svptrue_b32(), idx_data);
+
+        for (int y = 0; y < nr / q8_k_blocklen; y++) {
+            const block_q8_Kx4 * GGML_RESTRICT q8_ptr = (const block_q8_Kx4 *) vy + (y * nb);
+
+            for (int x = 0; x < nc / ncols_interleaved; x++) {
+                const block_q4_Kx8 * GGML_RESTRICT q4_ptr = (const block_q4_Kx8 *) vx + (x * nb);
+
+                acc_f32_01 = svdup_n_f32(0);
+                acc_f32_23 = svdup_n_f32(0);
+                acc_f32_45 = svdup_n_f32(0);
+                acc_f32_67 = svdup_n_f32(0);
+
+                for (int b = 0; b < nb; b++) {
+                    // bsums pairs belongs to the same q8_k subblock
+                    // 64 elements loaded and made sum of 0-7 and 8-15 sum || 16-23 and 24 - 31 sum
+                    const int16x8_t bsums[4]{
+                        vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 0), vld1q_s16(q8_ptr[b].bsums + 16 * 0 + 8)),
+                        vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 1), vld1q_s16(q8_ptr[b].bsums + 16 * 1 + 8)),
+                        vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 2), vld1q_s16(q8_ptr[b].bsums + 16 * 2 + 8)),
+                        vpaddq_s16(vld1q_s16(q8_ptr[b].bsums + 16 * 3), vld1q_s16(q8_ptr[b].bsums + 16 * 3 + 8)),
+                    };
+
+                    int32_t bsums_arr32[4][8];
+
+                    for (int q8_row = 0; q8_row < 4; q8_row++) {
+                        int16x8_t v16 = bsums[q8_row];
+
+                        // low 4
+                        int32x4_t v32_lo = vmovl_s16(vget_low_s16(v16));
+                        vst1q_s32(&bsums_arr32[q8_row][0], v32_lo);
+
+                        // high 4
+                        int32x4_t v32_hi = vmovl_s16(vget_high_s16(v16));
+                        vst1q_s32(&bsums_arr32[q8_row][4], v32_hi);
+                    }
+
+                    svint32_t sb_acc_0 = svdup_n_s32(0);
+                    svint32_t sb_acc_2 = svdup_n_s32(0);
+
+                    svint32_t acc_00 = svdup_n_s32(0);
+                    svint32_t acc_11 = svdup_n_s32(0);
+                    svint32_t acc_22 = svdup_n_s32(0);
+                    svint32_t acc_33 = svdup_n_s32(0);
+                    svint32_t acc_44 = svdup_n_s32(0);
+                    svint32_t acc_55 = svdup_n_s32(0);
+                    svint32_t acc_66 = svdup_n_s32(0);
+                    svint32_t acc_77 = svdup_n_s32(0);
+
+                    svint32_t bias_acc_00 = svdup_n_s32(0);
+                    svint32_t bias_acc_22 = svdup_n_s32(0);
+                    svint32_t bias_acc_44 = svdup_n_s32(0);
+                    svint32_t bias_acc_66 = svdup_n_s32(0);
+
+                    for (int sb = 0; sb < QK_K / 64; sb++) {
+                        // Need scales for the low and high nibbles
+                        // 2 * 12 = 24 bytes per subblock, 4 sbs -> 4 * 24 = 96 bytes total
+                        svint32_t block_scale_0, block_scale_1, block_scale_2, block_scale_3;
+                        svint32_t q4sb_mins_0, q4sb_mins_1;
+                        {
+                            // 2-superblock I am working on
+                            const int offset = sb * 24 + 0 * 12;
+                            const uint8_t * scales_in = &q4_ptr[b].scales[offset];
+
+                            const int offset1 = sb * 24 + 12;
+                            const uint8_t * scales_in1 = &q4_ptr[b].scales[offset1];
+
+                            constexpr uint32_t kmask1 = 0x3f3f3f3f;
+                            constexpr uint32_t kmask2 = 0x0f0f0f0f;
+                            constexpr uint32_t kmask3 = 0x03030303;
+                            constexpr uint8_t  scales_size = 12;
+
+                            uint32_t sm[3];
+                            memcpy(sm, scales_in, scales_size);
+
+                            uint32_t sm1[3];
+                            memcpy(sm1, scales_in1, scales_size);
+
+                            const uint32_t mins_0_3 = sm[1] & kmask1;
+                            const uint32_t mins_4_7 = ((sm[2] >> 4) & kmask2) | (((sm[1] >> 6) & kmask3) << 4);
+
+                            const uint32_t mins_0_3_1 = sm1[1] & kmask1;
+                            const uint32_t mins_4_7_1 = ((sm1[2] >> 4) & kmask2) | (((sm1[1] >> 6) & kmask3) << 4);
+
+                            svuint32_t mins_u32_temp = svzip1_u32(svdup_n_u32(mins_0_3), svdup_n_u32(mins_4_7));
+                            svuint32_t mins_u32_temp_1 = svzip1_u32(svdup_n_u32(mins_0_3_1), svdup_n_u32(mins_4_7_1));
+
+                            /* reinterpret u32 → u8 */
+                            svuint8_t mins_u8 = svreinterpret_u8_u32(mins_u32_temp);
+                            svuint8_t mins_u8_1 = svreinterpret_u8_u32(mins_u32_temp_1);
+
+                            /* widen u8 → u16->u32 (lower half only) */
+                            svuint32_t mins_u16 = svunpklo_u32(svunpklo_u16(mins_u8));
+                            svuint32_t mins_u16_1 = svunpklo_u32(svunpklo_u16(mins_u8_1));
+
+                            q4sb_mins_0 = svreinterpret_s32_u32(mins_u16);
+                            q4sb_mins_1 = svreinterpret_s32_u32(mins_u16_1);
+
+                            uint32_t scales_u32_0 = sm[0] & kmask1;
+                            uint32_t scales_u32_1 = (sm[2] & kmask2) | (((sm[0] >> 6) & kmask3) << 4);
+                            uint32_t scales_u32_2 = sm1[0] & kmask1;
+                            uint32_t scales_u32_3 = (sm1[2] & kmask2) | (((sm1[0] >> 6) & kmask3) << 4);
+
+                            svuint32_t S01 = svdup_n_u32(scales_u32_0);
+                            svuint32_t S23 = svdup_n_u32(scales_u32_1);
+                            svuint32_t R01 = svdup_n_u32(scales_u32_2);
+                            svuint32_t R23 = svdup_n_u32(scales_u32_3);
+
+                            svint8_t S01_b = svreinterpret_s8_u32(S01);
+                            svint8_t S23_b = svreinterpret_s8_u32(S23);
+                            svint8_t R01_b = svreinterpret_s8_u32(R01);
+                            svint8_t R23_b = svreinterpret_s8_u32(R23);
+
+                            svint32_t S01_d = svunpklo_s32(svunpklo_s16(svzip1_s8(S01_b, S01_b)));
+                            svint32_t R01_d = svunpklo_s32(svunpklo_s16(svzip1_s8(R01_b, R01_b)));
+                            svint32_t S23_d = svunpklo_s32(svunpklo_s16(svzip1_s8(S23_b, S23_b)));
+                            svint32_t R23_d = svunpklo_s32(svunpklo_s16(svzip1_s8(R23_b, R23_b)));
+
+                            block_scale_0 = svtbl_s32(svzip1_s32(S01_d, R01_d), idx);
+                            block_scale_1 = svtbl_s32(svzip2_s32(S01_d, R01_d), idx);
+                            block_scale_2 = svtbl_s32(svzip1_s32(S23_d, R23_d), idx);
+                            block_scale_3 = svtbl_s32(svzip2_s32(S23_d, R23_d), idx);
+                        }
+
+                        const int8_t * q8_base_1 = q8_ptr[b].qs + sb * 256;
+
+                        // Load 32-byte per row pair, 1 subblock each time
+                        // predicate for activating higher lanes for 16 int8 elements
+                        const svbool_t ph16 = svptrue_pat_b8(SV_VL16);
+                        // predicate for activating lower lanes for  16 int8 elements
+                        const svbool_t pl16 = svnot_b_z(svptrue_b8(), ph16);
+
+                        svint8_t q8_qs_0 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 0), svld1_s8(pl16, q8_base_1 + 112));
+                        svint8_t q8_qs_2 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 32), svld1_s8(pl16, q8_base_1 + 144));
+                        svint8_t q8_qs_4 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 64), svld1_s8(pl16, q8_base_1 + 176));
+                        svint8_t q8_qs_6 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 96), svld1_s8(pl16, q8_base_1 + 208));
+
+                        svint8_t q8_qs_1 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 16), svld1_s8(pl16, q8_base_1 + 128));
+                        svint8_t q8_qs_3 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 48), svld1_s8(pl16, q8_base_1 + 160));
+                        svint8_t q8_qs_5 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 80), svld1_s8(pl16, q8_base_1 + 192));
+                        svint8_t q8_qs_7 = svadd_s8_x(svptrue_b8(), svld1_s8(ph16, q8_base_1 + 112), svld1_s8(pl16, q8_base_1 + 224));
+
+                        // Q4s columns iterated in pairs (01, 23, 45, 67)
+                        for (int cp = 0; cp < ncols_interleaved / 2; cp++) {
+
+                            sb_acc_0 = svdup_n_s32(0);
+                            sb_acc_2 = svdup_n_s32(0);
+
+                            svuint8_t q4_qs_cp_00 = svld1rq_u8(svptrue_b8(), q4_ptr[b].qs + sb * QK_K + 16 * cp + 0);
+                            svuint8_t q4_qs_cp_01 = svld1rq_u8(svptrue_b8(), q4_ptr[b].qs + sb * QK_K + 16 * cp + 64);
+                            svuint8_t q4_qs_cp_02 = svld1rq_u8(svptrue_b8(), q4_ptr[b].qs + sb * QK_K + 16 * cp + 128);
+                            svuint8_t q4_qs_cp_03 = svld1rq_u8(svptrue_b8(), q4_ptr[b].qs + sb * QK_K + 16 * cp + 192);
+
+                            svint8_t q4_nibbles_00 = svreinterpret_s8_u8(svlsr_n_u8_m(pl16, svand_u8_m(ph16, q4_qs_cp_00, m4b_1), 4));
+                            svint8_t q4_nibbles_01 = svreinterpret_s8_u8(svlsr_n_u8_m(pl16, svand_u8_m(ph16, q4_qs_cp_01, m4b_1), 4));
+                            svint8_t q4_nibbles_02 = svreinterpret_s8_u8(svlsr_n_u8_m(pl16, svand_u8_m(ph16, q4_qs_cp_02, m4b_1), 4));
+                            svint8_t q4_nibbles_03 = svreinterpret_s8_u8(svlsr_n_u8_m(pl16, svand_u8_m(ph16, q4_qs_cp_03, m4b_1), 4));
+
+                            sb_acc_0 = svmmla_s32(sb_acc_0, q4_nibbles_00, q8_qs_0);
+                            sb_acc_0 = svmmla_s32(sb_acc_0, q4_nibbles_01, q8_qs_2);
+
+                            sb_acc_0 = svmmla_s32(sb_acc_0, q4_nibbles_02, q8_qs_4);
+                            sb_acc_0 = svmmla_s32(sb_acc_0, q4_nibbles_03, q8_qs_6);
+
+                            sb_acc_2 = svmmla_s32(sb_acc_2, q4_nibbles_00, q8_qs_1);
+                            sb_acc_2 = svmmla_s32(sb_acc_2, q4_nibbles_01, q8_qs_3);
+
+                            sb_acc_2 = svmmla_s32(sb_acc_2, q4_nibbles_02, q8_qs_5);
+                            sb_acc_2 = svmmla_s32(sb_acc_2, q4_nibbles_03, q8_qs_7);
+
+                            if(cp == 0) {
+                                acc_00 = svmla_s32_m(svptrue_b32(), acc_00, sb_acc_0, block_scale_0);
+                                acc_44 = svmla_s32_m(svptrue_b32(), acc_44, sb_acc_2, block_scale_0);
+                            }
+                            if(cp == 1) {
+                                acc_11 = svmla_s32_m(svptrue_b32(), acc_11, sb_acc_0, block_scale_1);
+                                acc_55 = svmla_s32_m(svptrue_b32(), acc_55, sb_acc_2, block_scale_1);
+                            }
+                            if(cp == 2) {
+                                acc_22 = svmla_s32_m(svptrue_b32(), acc_22, sb_acc_0, block_scale_2);
+                                acc_66 = svmla_s32_m(svptrue_b32(), acc_66, sb_acc_2, block_scale_2);
+                            }
+                            if(cp == 3) {
+                                acc_33 = svmla_s32_m(svptrue_b32(), acc_33, sb_acc_0, block_scale_3);
+                                acc_77 = svmla_s32_m(svptrue_b32(), acc_77, sb_acc_2, block_scale_3);
+                            }
+                        }
+
+                        bias_acc_00 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_00, svdup_n_s32(bsums_arr32[sb][0]), q4sb_mins_0);
+                        bias_acc_00 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_00, svdup_n_s32(bsums_arr32[sb][1]), q4sb_mins_1);
+
+                        bias_acc_22 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_22, svdup_n_s32(bsums_arr32[sb][2]), q4sb_mins_0);
+                        bias_acc_22 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_22, svdup_n_s32(bsums_arr32[sb][3]), q4sb_mins_1);
+
+                        bias_acc_44 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_44, svdup_n_s32(bsums_arr32[sb][4]), q4sb_mins_0);
+                        bias_acc_44 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_44, svdup_n_s32(bsums_arr32[sb][5]), q4sb_mins_1);
+
+                        bias_acc_66 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_66, svdup_n_s32(bsums_arr32[sb][6]), q4sb_mins_0);
+                        bias_acc_66 = svmla_s32_m(svptrue_pat_b32(SV_VL8), bias_acc_66, svdup_n_s32(bsums_arr32[sb][7]), q4sb_mins_1);
+                    }  // for sb
+
+
+                    acc_00 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_00, svext_s32(acc_00, acc_00, 4));
+                    acc_11 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_11, svext_s32(acc_11, acc_11, 4));
+                    acc_22 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_22, svext_s32(acc_22, acc_22, 4));
+                    acc_33 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_33, svext_s32(acc_33, acc_33, 4));
+                    acc_44 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_44, svext_s32(acc_44, acc_44, 4));
+                    acc_55 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_55, svext_s32(acc_55, acc_55, 4));
+                    acc_66 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_66, svext_s32(acc_66, acc_66, 4));
+                    acc_77 = svadd_s32_z(svptrue_pat_b32(SV_VL4), acc_77, svext_s32(acc_77, acc_77, 4));
+
+                    svint32_t reorder_acc_01 = svtbl_s32( svzip1_s32( svtrn1_s32(acc_00, acc_11), svtrn1_s32(acc_22, acc_33)), idx1);
+                    svint32_t reorder_acc_23 = svtbl_s32( svzip1_s32( svtrn2_s32(acc_00, acc_11), svtrn2_s32(acc_22, acc_33)), idx1);
+
+                    svint32_t reorder_acc_45 = svtbl_s32( svzip1_s32( svtrn1_s32(acc_44, acc_55), svtrn1_s32(acc_66, acc_77)), idx1);
+                    svint32_t reorder_acc_67 = svtbl_s32( svzip1_s32( svtrn2_s32(acc_44, acc_55), svtrn2_s32(acc_66, acc_77)), idx1);
+
+                    // Broadcast q8 scalar
+                    svfloat32_t q8_d = svdup_f32(q8_ptr[b].d[0]);
+
+                    svfloat32_t q4_dmin_temp = svcvt_f32_f16_x(svptrue_b32(), svzip1_f16( svld1_f16(svptrue_pat_b16(SV_VL8), (const __fp16 *)q4_ptr[b].dmin), svdup_f16(0)));
+
+                    svfloat32_t q4_d_temp = svcvt_f32_f16_x(svptrue_b32(), svzip1_f16( svld1_f16(svptrue_pat_b16(SV_VL8), (const __fp16 *)q4_ptr[b].d), svdup_f16(0)));
+
+                    svfloat32_t scale1 = svmul_f32_x(svptrue_b32(), q4_d_temp, q8_d);
+                    svfloat32_t dmins1 = svmul_f32_x(svptrue_b32(), q4_dmin_temp, q8_d);
+
+                    acc_f32_01 = svmls_f32_m(svptrue_b32(), acc_f32_01, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), bias_acc_00), dmins1);
+                    acc_f32_01 = svmla_f32_m(svptrue_b32(), acc_f32_01, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), reorder_acc_01), scale1);
+
+                    q8_d = svdup_f32(q8_ptr[b].d[1]);
+
+                    scale1 = svmul_f32_x(svptrue_b32(), q4_d_temp, q8_d);
+                    dmins1 = svmul_f32_x(svptrue_b32(), q4_dmin_temp, q8_d);
+
+                    acc_f32_23 = svmls_f32_m(svptrue_b32(), acc_f32_23, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), bias_acc_22), dmins1);
+                    acc_f32_23 = svmla_f32_m(svptrue_b32(), acc_f32_23, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), reorder_acc_23), scale1);
+
+                    q8_d = svdup_f32(q8_ptr[b].d[2]);
+
+
+                    scale1 = svmul_f32_x(svptrue_b32(), q4_d_temp, q8_d);
+                    dmins1 = svmul_f32_x(svptrue_b32(), q4_dmin_temp, q8_d);
+
+                    acc_f32_45 = svmls_f32_m(svptrue_b32(), acc_f32_45, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), bias_acc_44), dmins1);
+                    acc_f32_45 = svmla_f32_m(svptrue_b32(), acc_f32_45, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), reorder_acc_45), scale1);
+
+                    q8_d = svdup_f32(q8_ptr[b].d[3]);
+
+                    scale1 = svmul_f32_x(svptrue_b32(), q4_d_temp, q8_d);
+                    dmins1 = svmul_f32_x(svptrue_b32(), q4_dmin_temp, q8_d);
+
+                    acc_f32_67 = svmls_f32_m(svptrue_b32(), acc_f32_67, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), bias_acc_66), dmins1);
+                    acc_f32_67 = svmla_f32_m(svptrue_b32(), acc_f32_67, svcvt_f32_s32_m(svdup_n_f32(0), svptrue_b32(), reorder_acc_67), scale1);
+
+                }  // for b
+
+                // With the previous reorder, the tile is already in the correct memory layout.
+                // Predicate for exactly 4 lanes
+                svbool_t pg4 = svptrue_pat_b32(SV_VL4);
+                for (int i = 0; i < q8_k_blocklen; i++) {
+                    int row = y * q8_k_blocklen + i;
+                    for (int j = 0; j < 2; j++) {
+                        int col    = x * ncols_interleaved + j * 4;
+                        int offset = row * bs + col;
+
+                        if (i == 0 && j == 0) {
+                            // acc_f32_0 → lower half of acc_f32_01
+                            svst1_f32(pg4, s + offset, acc_f32_01);
+                        } else if (i == 0 && j == 1) {
+                            // acc_f32_1 → upper half of acc_f32_01
+                            svst1_f32(pg4, s + offset, svext_f32(acc_f32_01, acc_f32_01, 4));
+                        } else if (i == 1 && j == 0) {
+                            // acc_f32_2
+                            svst1_f32(pg4, s + offset, acc_f32_23);
+                        } else if (i == 1 && j == 1) {
+                            // acc_f32_3
+                            svst1_f32(pg4, s + offset, svext_f32(acc_f32_23, acc_f32_23, 4));
+                        } else if (i == 2 && j == 0) {
+                            // acc_f32_4
+                            svst1_f32(pg4, s + offset, acc_f32_45);
+                        } else if (i == 2 && j == 1) {
+                            // acc_f32_5
+                            svst1_f32(pg4, s + offset, svext_f32(acc_f32_45, acc_f32_45, 4));
+                        } else if (i == 3 && j == 0) {
+                            // acc_f32_6
+                            svst1_f32(pg4, s + offset, acc_f32_67);
+                        } else if (i == 3 && j == 1) {
+                            // acc_f32_7
+                            svst1_f32(pg4, s + offset, svext_f32(acc_f32_67, acc_f32_67, 4));
+                        }
+                    }
+                }
+            }  // for x
+        }  // for y
+        return;
+    }
+#endif  // SVE compile-time end
+
 #if defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_MATMUL_INT8)
     constexpr int    q8_k_blocklen = 4;
     const uint8x16_t m4b           = vdupq_n_u8(0x0f);
diff --git a/ggml/src/ggml-cpu/arch/riscv/quants.c b/ggml/src/ggml-cpu/arch/riscv/quants.c
index ae0ebb3cad1..826055dd9a4 100644
--- a/ggml/src/ggml-cpu/arch/riscv/quants.c
+++ b/ggml/src/ggml-cpu/arch/riscv/quants.c
@@ -113,6 +113,104 @@ void quantize_row_q8_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, i
 #endif
 }
 
+void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) {
+    assert(k % QK_K == 0);
+    block_q8_K * y_blocks = (block_q8_K *)y;
+    size_t nb = k / QK_K;
+
+#if defined(__riscv_v_intrinsic)
+    const size_t vlmax_f32m8 = __riscv_vsetvlmax_e32m8();
+
+    for (size_t i = 0; i < nb; i++) {
+        const float* x_block = x + i * QK_K;
+        block_q8_K* y_block = &y_blocks[i];
+
+        // 1. Calculate Min/Max
+        vfloat32m8_t max_v = __riscv_vfmv_v_f_f32m8(-__builtin_inff(), vlmax_f32m8);
+        vfloat32m8_t min_v = __riscv_vfmv_v_f_f32m8(__builtin_inff(), vlmax_f32m8);
+
+        size_t rem = QK_K;
+        size_t offset = 0;
+        while (rem > 0) {
+            size_t vl = __riscv_vsetvl_e32m8(rem);
+            vfloat32m8_t v_curr = __riscv_vle32_v_f32m8(x_block + offset, vl);
+            max_v = __riscv_vfmax_vv_f32m8(max_v, v_curr, vl);
+            min_v = __riscv_vfmin_vv_f32m8(min_v, v_curr, vl);
+            rem -= vl;
+            offset += vl;
+        }
+
+        vfloat32m1_t v_init_max = __riscv_vfmv_s_f_f32m1(-__builtin_inff(), 1);
+        vfloat32m1_t v_init_min = __riscv_vfmv_s_f_f32m1(__builtin_inff(), 1);
+
+        vfloat32m1_t v_scalar_max = __riscv_vfredmax_vs_f32m8_f32m1(max_v, v_init_max, vlmax_f32m8);
+        vfloat32m1_t v_scalar_min = __riscv_vfredmin_vs_f32m8_f32m1(min_v, v_init_min, vlmax_f32m8);
+
+        float max_val = __riscv_vfmv_f_s_f32m1_f32(v_scalar_max);
+        float min_val = __riscv_vfmv_f_s_f32m1_f32(v_scalar_min);
+
+        float amax = fabsf(max_val) > fabsf(min_val) ? fabsf(max_val) : fabsf(min_val);
+
+        if (amax == 0.0f) {
+            y_block->d = 0.0f;
+            memset(y_block->qs, 0, QK_K);
+            memset(y_block->bsums, 0, sizeof(y_block->bsums));
+            continue;
+        }
+
+        const float iscale = -127.f / (fabsf(max_val) > fabsf(min_val) ? max_val : min_val);
+        y_block->d = 1.0f / iscale;
+
+        // 2. Quantize and Calculate Sums
+        offset = 0;
+        rem = QK_K;
+        vint16m1_t v_zero_sum = __riscv_vmv_v_x_i16m1(0, 1);
+
+        while (rem > 0) {
+            size_t vl = __riscv_vsetvl_e32m8(rem);
+            vfloat32m8_t v_f = __riscv_vle32_v_f32m8(x_block + offset, vl);
+
+            v_f = __riscv_vfmul_vf_f32m8(v_f, iscale, vl);
+
+            vint32m8_t v_i32 = __riscv_vfcvt_x_f_v_i32m8_rm(v_f, __RISCV_FRM_RNE, vl);
+            vint16m4_t v_i16 = __riscv_vnclip_wx_i16m4(v_i32, 0, __RISCV_VXRM_RNE, vl);
+            vint8m2_t v_q = __riscv_vnclip_wx_i8m2(v_i16, 0, __RISCV_VXRM_RNE, vl);
+
+            __riscv_vse8_v_i8m2(y_block->qs + offset, v_q, vl);
+
+            // first iteration clear
+
+            int sum_idx;
+            vint8m1_t chunk_m1;
+            vint16m1_t v_sum;
+            sum_idx = offset / 16;
+            chunk_m1 = __riscv_vget_v_i8m2_i8m1(v_q, 0);
+            v_sum = __riscv_vwredsum_vs_i8m1_i16m1(chunk_m1, v_zero_sum, 16);
+            y_block->bsums[sum_idx] = (int16_t)__riscv_vmv_x_s_i16m1_i16(v_sum);
+
+            // remaining iterations
+            vint8m2_t slid_q = v_q;
+            for (size_t k = 16; k < vl; k += 16) {
+                slid_q = __riscv_vslidedown_vx_i8m2(slid_q, 16, vl);
+
+                sum_idx = (offset + k) / 16;
+                chunk_m1 = __riscv_vget_v_i8m2_i8m1(slid_q, 0);
+
+                v_sum = __riscv_vwredsum_vs_i8m1_i16m1(chunk_m1, v_zero_sum, 16);
+                y_block->bsums[sum_idx] =(int16_t)__riscv_vmv_x_s_i16m1_i16(v_sum);
+            }
+
+            rem -= vl;
+            offset += vl;
+        }
+    }
+#else
+    GGML_UNUSED(nb);
+    // scalar
+    quantize_row_q8_K_ref(x, y, k);
+#endif
+}
+
 //===================================== Dot products =================================
 
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
@@ -1954,3 +2052,1558 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
 #endif
 }
 
+static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq1_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0;
+    for (int i = 0; i < nb; ++i) {
+        // Load qh once for the entire superblock.
+        vuint16mf2_t qh = __riscv_vle16_v_u16mf2(x[i].qh, 8);
+
+        // Calculate ls.
+        vuint16mf2_t temp = __riscv_vsrl_vx_u16mf2(qh, 12, 8);
+        temp = __riscv_vand_vx_u16mf2(temp, 7, 8);
+        vint32m1_t ls = __riscv_vreinterpret_v_u32m1_i32m1(__riscv_vwmulu_vx_u32m1(temp, 2, 8));
+        ls = __riscv_vadd_vx_i32m1(ls, 1, 8);
+
+        // Calculate delta.
+        vbool32_t mask = __riscv_vmseq_vx_u16mf2_b32(__riscv_vand_vx_u16mf2(qh, 0x8000, 8), 0, 8);
+        vint32m1_t delta_neg = __riscv_vmv_v_x_i32m1(-1, 8);
+        vint32m1_t delta_pos = __riscv_vmv_v_x_i32m1(1, 8);
+        vint32m1_t delta = __riscv_vmerge_vvm_i32m1(delta_neg, delta_pos, mask, 8);
+
+        // Load qs.
+        vuint8m1_t qs = __riscv_vle8_v_u8m1(x[i].qs, 32);
+
+        // Prepare the indices.
+        const uint64_t shift = 0x0009000600030000;
+        vuint16m2_t qh_shift = __riscv_vreinterpret_v_u64m2_u16m2(__riscv_vmv_v_x_u64m2(shift, 8));
+        vuint16m2_t qh_gather_index = __riscv_vreinterpret_v_i16m2_u16m2(
+            __riscv_vdiv_vx_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vid_v_u16m2(32)), 4, 32));
+        vuint16m2_t qh_ext = __riscv_vlmul_ext_v_u16m1_u16m2(__riscv_vlmul_ext_v_u16mf2_u16m1(qh));
+        vuint16m2_t qh_index = __riscv_vrgather_vv_u16m2(qh_ext, qh_gather_index, 32);
+        qh_index = __riscv_vsrl_vv_u16m2(qh_index, qh_shift, 32);
+        qh_index = __riscv_vand_vx_u16m2(qh_index, 7, 32);
+        qh_index = __riscv_vsll_vx_u16m2(qh_index, 8, 32);
+        qh_index = __riscv_vor_vv_u16m2(qh_index, __riscv_vzext_vf2_u16m2(qs, 32), 32);
+        vuint16m2_t index = __riscv_vsll_vx_u16m2(qh_index, 3, 32);
+
+        // Final lsums.
+        int32_t lsums_s[8];
+        vint32m1_t one_scalar = __riscv_vmv_v_x_i32m1(0, 1);
+
+        // Sub-blocks 1-4
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m2_u16m1(index, 0);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 16));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(y[i].qs, 128);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[0] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum0, 0), one_scalar, 32));
+            lsums_s[1] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum0, 1), one_scalar, 32));
+            lsums_s[2] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum0, 2), one_scalar, 32));
+            lsums_s[3] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum0, 3), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 5-8
+        {
+            vuint16m1_t grid_index1 = __riscv_vget_v_u16m2_u16m1(index, 1);
+            vint8m4_t grid1 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index1, 16));
+            vint8m4_t q81 = __riscv_vle8_v_i8m4(&y[i].qs[128], 128);
+            vint16m8_t lsum1 = __riscv_vwmul_vv_i16m8(grid1, q81, 128);
+            lsums_s[4] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum1, 0), one_scalar, 32));
+            lsums_s[5] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum1, 1), one_scalar, 32));
+            lsums_s[6] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum1, 2), one_scalar, 32));
+            lsums_s[7] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(lsum1, 3), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        vint32m1_t lsums = __riscv_vle32_v_i32m1(&lsums_s[0], 8);
+
+        // Calculate the bsums.
+        vint16m1_t bsums_0 = __riscv_vle16_v_i16m1(y[i].bsums, 16);
+        const vuint32m1_t bsums_i32 = __riscv_vreinterpret_v_u16m1_u32m1(__riscv_vreinterpret_v_i16m1_u16m1(bsums_0));
+        const vint16mf2_t bsums_i32_0 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(bsums_i32, 0, 8));
+        const vint16mf2_t bsums_i32_1 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(bsums_i32, 16, 8));
+        const vint32m1_t bsums = __riscv_vwadd_vv_i32m1(bsums_i32_0, bsums_i32_1, 8);
+
+        // Accumulation.
+        vint32m1_t sumi_v = __riscv_vmul_vv_i32m1(ls, lsums, 8);
+        vint32m1_t sumi1_v = __riscv_vmul_vv_i32m1(__riscv_vmul_vv_i32m1(ls, delta, 8), bsums, 8);
+
+        // Update sumf.
+        int sumi = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m1_i32m1(sumi_v, __riscv_vmv_v_x_i32m1(0.0f, 1), 8));
+        int sumi1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m1_i32m1(sumi1_v, __riscv_vmv_v_x_i32m1(0.0f, 1), 8));
+        sumf += GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d * (sumi + IQ1S_DELTA * sumi1);
+    }
+
+    *s = sumf;
+}
+
+void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_iq1_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq1_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq1_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq1_m * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    iq1m_scale_t scale;
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        const int8_t   * q8 = y[i].qs;
+        const uint8_t  * qs = x[i].qs;
+        const uint8_t  * qh = x[i].qh;
+        const uint16_t * sc = (const uint16_t *)x[i].scales;
+
+        scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
+
+        // Accumulators.
+        vint32m2_t acc1 = __riscv_vmv_v_x_i32m2(0, 16);
+        vint32m2_t acc2 = __riscv_vmv_v_x_i32m2(0, 16);
+
+        // We process 4 sub-blocks together.
+        for (int ib = 0; ib < QK_K/128; ib++) {
+            // Load qh for 4 sub-blocks.
+            const vuint8mf4_t qh_8 = __riscv_vle8_v_u8mf4(qh, 8);
+            const vuint16mf2_t qh_16_lo = __riscv_vzext_vf2_u16mf2(qh_8, 8);
+            const vuint16mf2_t qh_16_hi = __riscv_vsll_vx_u16mf2(qh_16_lo, 8, 8);
+            const vuint16m1_t qhb = __riscv_vzext_vf2_u16m1(
+                __riscv_vreinterpret_v_u16mf2_u8mf2(__riscv_vor_vv_u16mf2(qh_16_lo, qh_16_hi, 8)), 16);
+            qh += 8;
+
+            // Prepare grid indices.
+            const vuint16m1_t qsb = __riscv_vzext_vf2_u16m1(__riscv_vle8_v_u8mf2(&qs[0], 16), 16);
+            const vuint16m1_t shift = __riscv_vreinterpret_v_u32m1_u16m1(__riscv_vmv_v_x_u32m1(0x00040008, 8));
+            vuint16m1_t index = __riscv_vor_vv_u16m1(qsb, __riscv_vand_vx_u16m1(__riscv_vsll_vv_u16m1(qhb, shift, 16), 0x700, 16), 16);
+            index = __riscv_vsll_vx_u16m1(index, 3, 16);
+            qs += 16;
+
+            // Load the grid.
+            const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
+                __riscv_vluxei16_v_u64m4(iq1s_grid, index, 16)));
+
+            // Prepare the deltas.
+            const vbool16_t mask = __riscv_vmsgtu_vx_u16m1_b16(
+                __riscv_vand_vv_u16m1(qhb, __riscv_vreinterpret_v_u32m1_u16m1(__riscv_vmv_v_x_u32m1(0x00800008, 8)), 16), 0, 16);
+            const vint64m4_t delta_pos = __riscv_vmv_v_x_i64m4(0x0101010101010101, 16);
+            const vint64m4_t delta_neg = __riscv_vmv_v_x_i64m4(0xffffffffffffffff, 16);
+            const vint8m4_t delta = __riscv_vreinterpret_v_i64m4_i8m4(
+                __riscv_vmerge_vvm_i64m4(delta_pos, delta_neg, mask, 16));
+
+            // Load q8 for sub-blocks.
+            const vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
+            q8 += 128;
+
+            // Calculate the lsums.
+            const vint16m8_t lsum1 = __riscv_vwmul_vv_i16m8(iq1b, q8b, 128);
+            const vint16m8_t lsum2 = __riscv_vwmul_vv_i16m8(delta, q8b, 128);
+
+            // Prepare the scales.
+            const int16_t ls_0_0 = 2*((sc[0] >> 0) & 0x7) + 1;
+            const int16_t ls_0_1 = 2*((sc[0] >> 3) & 0x7) + 1;
+            const int16_t ls_1_0 = 2*((sc[0] >> 6) & 0x7) + 1;
+            const int16_t ls_1_1 = 2*((sc[0] >> 9) & 0x7) + 1;
+            const int16_t ls_2_0 = 2*((sc[1] >> 0) & 0x7) + 1;
+            const int16_t ls_2_1 = 2*((sc[1] >> 3) & 0x7) + 1;
+            const int16_t ls_3_0 = 2*((sc[1] >> 6) & 0x7) + 1;
+            const int16_t ls_3_1 = 2*((sc[1] >> 9) & 0x7) + 1;
+            sc += 2;
+
+            // Accumulate in acc0 and acc1 for each sub-block.
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_0_0, __riscv_vget_v_i16m8_i16m1(lsum1, 0), 16);
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_0_1, __riscv_vget_v_i16m8_i16m1(lsum1, 1), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_0_0, __riscv_vget_v_i16m8_i16m1(lsum2, 0), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_0_1, __riscv_vget_v_i16m8_i16m1(lsum2, 1), 16);
+            //
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_1_0, __riscv_vget_v_i16m8_i16m1(lsum1, 2), 16);
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_1_1, __riscv_vget_v_i16m8_i16m1(lsum1, 3), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_1_0, __riscv_vget_v_i16m8_i16m1(lsum2, 2), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_1_1, __riscv_vget_v_i16m8_i16m1(lsum2, 3), 16);
+            //
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_2_0, __riscv_vget_v_i16m8_i16m1(lsum1, 4), 16);
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_2_1, __riscv_vget_v_i16m8_i16m1(lsum1, 5), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_2_0, __riscv_vget_v_i16m8_i16m1(lsum2, 4), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_2_1, __riscv_vget_v_i16m8_i16m1(lsum2, 5), 16);
+            //
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_3_0, __riscv_vget_v_i16m8_i16m1(lsum1, 6), 16);
+            acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_3_1, __riscv_vget_v_i16m8_i16m1(lsum1, 7), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_3_0, __riscv_vget_v_i16m8_i16m1(lsum2, 6), 16);
+            acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_3_1, __riscv_vget_v_i16m8_i16m1(lsum2, 7), 16);
+        }
+
+        // Reduce and accumulate in `sumf`.
+        vint32m1_t one = __riscv_vmv_v_x_i32m1(0, 1);
+        int sumi1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m2_i32m1(acc1, one, 16));
+        int sumi2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m2_i32m1(acc2, one, 16));
+        sumf += y[i].d * GGML_CPU_FP16_TO_FP32(scale.f16) * (sumi1 + IQ1M_DELTA * sumi2);
+    }
+
+    *s = sumf;
+}
+
+void ggml_vec_dot_iq1_m_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_iq1_m_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq1_m_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq1_m_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static const uint8_t sign_gather_indices_arr[64] = {
+    0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1, 2,2,2,2,2,2,2,2, 3,3,3,3,3,3,3,3,
+    4,4,4,4,4,4,4,4, 5,5,5,5,5,5,5,5, 6,6,6,6,6,6,6,6, 7,7,7,7,7,7,7,7
+};
+
+static const uint8_t sign_bit_masks_arr[64] = {
+    1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128,
+    1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128
+};
+
+
+static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
+
+    const block_iq2_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * grid64 = (const uint64_t *)iq2s_grid;
+
+    // Pre-load Constants
+    vuint8m2_t v_ids = __riscv_vid_v_u8m2(32);
+    vuint8m2_t v_sign_gather_indices = __riscv_vsrl_vx_u8m2(v_ids, 3, 32);
+    vuint8m2_t v_ones = __riscv_vmv_v_x_u8m2(1, 32);
+    vuint8m2_t v_shift_amts = __riscv_vand_vx_u8m2(v_ids, 7, 32);
+    vuint8m2_t v_sign_masks = __riscv_vsll_vv_u8m2(v_ones, v_shift_amts, 32);
+    uint16_t shift_qh_arr[4] = {11, 9, 7, 5};
+    vuint16mf2_t v_shift_qh = __riscv_vle16_v_u16mf2(shift_qh_arr, 4);
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t * GGML_RESTRICT qs = x[i].qs;
+        const uint8_t * GGML_RESTRICT qh = x[i].qh;
+        const uint8_t * GGML_RESTRICT scales = x[i].scales;
+        const int8_t  * GGML_RESTRICT q8 = y[i].qs;
+
+        const uint8_t * signs_ptr = qs + 32;
+        float sum_block = 0.0f;
+
+        for (int ib = 0; ib < 8; ++ib) {
+
+            // Load Low Bits [4 bytes]
+            vuint8mf4_t v_qs_u8 = __riscv_vle8_v_u8mf4(qs, 4);
+            qs += 4;
+
+            // Load 1 byte. It contains bits for 4 mini-blocks.
+            uint8_t qh_val = *qh++;
+
+            // Combine Low + High bits of 10bit indices
+            vuint8mf4_t v_qh_raw = __riscv_vmv_v_x_u8mf4(qh_val, 4);
+            vuint16mf2_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16mf2(v_qh_raw, 4);
+            vuint16mf2_t v_qh_mf2 = __riscv_vsll_vv_u16mf2(v_qh_u16, v_shift_qh, 4);
+            v_qh_mf2 = __riscv_vand_vx_u16mf2(v_qh_mf2, 0x1800, 4);
+            vuint16mf2_t v_qs_u16_mf2 = __riscv_vwcvtu_x_x_v_u16mf2(v_qs_u8, 4);
+            vuint16mf2_t v_qs_u16 = __riscv_vsll_vx_u16mf2(v_qs_u16_mf2, 3, 4);
+            vuint16mf2_t v_grid_offsets = __riscv_vor_vv_u16mf2(v_qs_u16, v_qh_mf2, 4);
+
+            // Lookup Grid
+            vint8m2_t v_grid_i8 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(__riscv_vluxei16_v_u64m2(grid64, v_grid_offsets, 4)));
+
+            vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs_ptr, 4);
+            signs_ptr += 4;
+            vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw);
+            vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 32);
+
+            // generating sign mask
+            vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 32);
+            vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 32);
+
+            vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 32);
+            q8 += 32;
+
+            // apply signs
+            vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative,v_q8, v_q8, 0, 32);
+            vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_grid_i8, v_q8_signed, 32);
+
+            // Reduction
+            vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+
+            // Reduce 0-15 (First Half)
+            int32_t s0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                __riscv_vget_v_i16m4_i16m2(v_dot, 0), v_zero, 16));
+
+            // Reduce 16-31 (Second Half)
+            int32_t s1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                __riscv_vget_v_i16m4_i16m2(v_dot, 1), v_zero, 16));
+
+            // Apply sub Scales
+            uint8_t sc = *scales++;
+
+            sum_block += s0 * (2 * (sc & 0xF) + 1);
+            sum_block += s1 * (2 * (sc >> 4)  + 1);
+        }
+        sumf += sum_block * combined_scale;
+    }
+    *s = 0.125f * sumf;
+}
+
+static void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
+
+    const block_iq2_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * grid64 = (const uint64_t *)iq2s_grid;
+
+    // --- Pre-load Constants ---
+    uint16_t gather_qh_arr[8] = {0, 0, 0, 0, 1, 1, 1, 1};
+    vuint16mf2_t v_gather_qh = __riscv_vle16_v_u16mf2(gather_qh_arr, 8);
+    uint16_t shift_qh_arr[8] = {11, 9, 7, 5, 11, 9, 7, 5};
+    vuint16mf2_t v_shift_qh = __riscv_vle16_v_u16mf2(shift_qh_arr, 8);
+
+    // Constants for sign extraction
+    vuint8m2_t v_sign_gather_indices = __riscv_vle8_v_u8m2(sign_gather_indices_arr, 64);
+    vuint8m2_t v_sign_masks = __riscv_vle8_v_u8m2(sign_bit_masks_arr, 64);
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t * GGML_RESTRICT qs = x[i].qs;
+        const uint8_t * GGML_RESTRICT qh = x[i].qh;
+        const uint8_t * GGML_RESTRICT scales = x[i].scales;
+        const int8_t  * GGML_RESTRICT q8 = y[i].qs;
+
+        const uint8_t * signs_ptr = qs + 32;
+
+        float sum_block = 0.0f;
+
+        for (int ib = 0; ib < 4; ++ib) {
+            // Combine low + high bits
+            vuint8mf4_t v_qs_u8 = __riscv_vle8_v_u8mf4(qs, 8);
+            qs += 8;
+            uint16_t qh_val;
+            memcpy(&qh_val, qh, 2);
+            qh += 2;
+            vuint8mf8_t v_qh_raw = __riscv_vle8_v_u8mf8((const uint8_t*)&qh_val, 2);
+            vuint16mf4_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16mf4(v_qh_raw, 2);
+            vuint16mf2_t v_qh_u16_ext = __riscv_vlmul_ext_v_u16mf4_u16mf2(v_qh_u16);
+            vuint16mf2_t v_qh_expanded = __riscv_vrgather_vv_u16mf2(v_qh_u16_ext, v_gather_qh, 8);
+            v_qh_expanded = __riscv_vsll_vv_u16mf2(v_qh_expanded, v_shift_qh, 8);
+
+            // Mask: We want bits 11-12. 0x1800 = 0001 1000 0000 0000
+            v_qh_expanded = __riscv_vand_vx_u16mf2(v_qh_expanded, 0x1800, 8);
+            vuint16mf2_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16mf2(v_qs_u8, 8);
+
+            // Multiply by 8 to get byte offset, instead of element offset
+            v_qs_u16 = __riscv_vsll_vx_u16mf2(v_qs_u16, 3, 8);
+            vuint16mf2_t v_grid_offsets = __riscv_vor_vv_u16mf2(v_qs_u16, v_qh_expanded, 8);
+
+            // Lookup Grid using Byte Offsets
+            vuint64m2_t v_grid_vals = __riscv_vluxei16_v_u64m2(grid64, v_grid_offsets, 8);
+
+            vuint8m2_t v_grid_u8 = __riscv_vreinterpret_v_u64m2_u8m2(v_grid_vals);
+            vint8m2_t v_grid_i8 = __riscv_vreinterpret_v_u8m2_i8m2(v_grid_u8);
+
+            // Load signs and generate sign mask
+            vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs_ptr, 8);
+            signs_ptr += 8;
+
+            vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw);
+            vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 64);
+
+            vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 64);
+            vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 64);
+
+            vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64);
+            q8 += 64;
+
+            vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 64);
+            vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_grid_i8, v_q8_signed, 64);
+
+            vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+
+            int32_t s0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                __riscv_vget_v_i16m4_i16m1(v_dot, 0), v_zero, 16));
+            int32_t s1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                __riscv_vget_v_i16m4_i16m1(v_dot, 1), v_zero, 16));
+            int32_t s2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                __riscv_vget_v_i16m4_i16m1(v_dot, 2), v_zero, 16));
+            int32_t s3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                __riscv_vget_v_i16m4_i16m1(v_dot, 3), v_zero, 16));
+
+            uint8_t sc0 = scales[0];
+            uint8_t sc1 = scales[1];
+            scales += 2;
+
+            sum_block += s0 * (2 * (sc0 & 0xF) + 1);
+            sum_block += s1 * (2 * (sc0 >> 4)  + 1);
+            sum_block += s2 * (2 * (sc1 & 0xF) + 1);
+            sum_block += s3 * (2 * (sc1 >> 4)  + 1);
+        }
+        sumf += sum_block * combined_scale;
+    }
+    *s = 0.125f * sumf;
+}
+
+void ggml_vec_dot_iq2_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq2_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        case 256:
+            ggml_vec_dot_iq2_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq2_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq2_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+#if defined(__riscv_v)
+static const int8_t keven_signs_q2xs[1024] = {
+     1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1, -1,  1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1,  1,  1,
+     1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1,  1,  1,  1, -1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1, -1,
+     1,  1,  1, -1,  1,  1,  1, -1, -1,  1,  1, -1,  1,  1,  1,  1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1, -1,
+     1,  1, -1, -1,  1,  1,  1,  1, -1,  1, -1, -1,  1,  1,  1, -1,  1, -1, -1, -1,  1,  1,  1, -1, -1, -1, -1, -1,  1,  1,  1,  1,
+     1,  1,  1,  1, -1,  1,  1, -1, -1,  1,  1,  1, -1,  1,  1,  1,  1, -1,  1,  1, -1,  1,  1,  1, -1, -1,  1,  1, -1,  1,  1, -1,
+     1,  1, -1,  1, -1,  1,  1,  1, -1,  1, -1,  1, -1,  1,  1, -1,  1, -1, -1,  1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1,  1,  1,
+     1,  1,  1, -1, -1,  1,  1,  1, -1,  1,  1, -1, -1,  1,  1, -1,  1, -1,  1, -1, -1,  1,  1, -1, -1, -1,  1, -1, -1,  1,  1,  1,
+     1,  1, -1, -1, -1,  1,  1, -1, -1,  1, -1, -1, -1,  1,  1,  1,  1, -1, -1, -1, -1,  1,  1,  1, -1, -1, -1, -1, -1,  1,  1, -1,
+     1,  1,  1,  1,  1, -1,  1, -1, -1,  1,  1,  1,  1, -1,  1,  1,  1, -1,  1,  1,  1, -1,  1,  1, -1, -1,  1,  1,  1, -1,  1, -1,
+     1,  1, -1,  1,  1, -1,  1,  1, -1,  1, -1,  1,  1, -1,  1, -1,  1, -1, -1,  1,  1, -1,  1, -1, -1, -1, -1,  1,  1, -1,  1,  1,
+     1,  1,  1, -1,  1, -1,  1,  1, -1,  1,  1, -1,  1, -1,  1, -1,  1, -1,  1, -1,  1, -1,  1, -1, -1, -1,  1, -1,  1, -1,  1,  1,
+     1,  1, -1, -1,  1, -1,  1, -1, -1,  1, -1, -1,  1, -1,  1,  1,  1, -1, -1, -1,  1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,
+     1,  1,  1,  1, -1, -1,  1,  1, -1,  1,  1,  1, -1, -1,  1, -1,  1, -1,  1,  1, -1, -1,  1, -1, -1, -1,  1,  1, -1, -1,  1,  1,
+     1,  1, -1,  1, -1, -1,  1, -1, -1,  1, -1,  1, -1, -1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1,  1, -1, -1,  1, -1,
+     1,  1,  1, -1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1,  1,  1,  1, -1,  1, -1, -1, -1,  1,  1, -1, -1,  1, -1, -1, -1,  1, -1,
+     1,  1, -1, -1, -1, -1,  1,  1, -1,  1, -1, -1, -1, -1,  1, -1,  1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1,  1,  1,
+     1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1,  1, -1,  1,  1, -1,  1,  1,  1,  1, -1,  1, -1, -1,  1,  1,  1,  1, -1, -1,
+     1,  1, -1,  1,  1,  1, -1,  1, -1,  1, -1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1,  1, -1, -1, -1, -1, -1,  1,  1,  1, -1,  1,
+     1,  1,  1, -1,  1,  1, -1,  1, -1,  1,  1, -1,  1,  1, -1, -1,  1, -1,  1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1,  1, -1,  1,
+     1,  1, -1, -1,  1,  1, -1, -1, -1,  1, -1, -1,  1,  1, -1,  1,  1, -1, -1, -1,  1,  1, -1,  1, -1, -1, -1, -1,  1,  1, -1, -1,
+     1,  1,  1,  1, -1,  1, -1,  1, -1,  1,  1,  1, -1,  1, -1, -1,  1, -1,  1,  1, -1,  1, -1, -1, -1, -1,  1,  1, -1,  1, -1,  1,
+     1,  1, -1,  1, -1,  1, -1, -1, -1,  1, -1,  1, -1,  1, -1,  1,  1, -1, -1,  1, -1,  1, -1,  1, -1, -1, -1,  1, -1,  1, -1, -1,
+     1,  1,  1, -1, -1,  1, -1, -1, -1,  1,  1, -1, -1,  1, -1,  1,  1, -1,  1, -1, -1,  1, -1,  1, -1, -1,  1, -1, -1,  1, -1, -1,
+     1,  1, -1, -1, -1,  1, -1,  1, -1,  1, -1, -1, -1,  1, -1, -1,  1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1,  1,
+     1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1,  1, -1, -1, -1,  1, -1,  1,  1,  1, -1, -1, -1, -1, -1,  1,  1,  1, -1, -1,  1,
+     1,  1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1,  1, -1, -1,  1,  1, -1, -1,  1,  1, -1, -1,  1, -1, -1, -1,  1,  1, -1, -1, -1,
+     1,  1,  1, -1,  1, -1, -1, -1, -1,  1,  1, -1,  1, -1, -1,  1,  1, -1,  1, -1,  1, -1, -1,  1, -1, -1,  1, -1,  1, -1, -1, -1,
+     1,  1, -1, -1,  1, -1, -1,  1, -1,  1, -1, -1,  1, -1, -1, -1,  1, -1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1, -1,  1,
+     1,  1,  1,  1, -1, -1, -1, -1, -1,  1,  1,  1, -1, -1, -1,  1,  1, -1,  1,  1, -1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,
+     1,  1, -1,  1, -1, -1, -1,  1, -1,  1, -1,  1, -1, -1, -1, -1,  1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1,  1,
+     1,  1,  1, -1, -1, -1, -1,  1, -1,  1,  1, -1, -1, -1, -1, -1,  1, -1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1,  1,
+     1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1,  1,  1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1, -1,
+};
+#endif
+
+static void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq2_xs * GGML_RESTRICT x = vx;
+    const block_q8_K   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint64_t * grid64  = (const uint64_t *)iq2xs_grid;
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * GGML_RESTRICT qs = x[i].qs;
+        const int8_t   * GGML_RESTRICT q8 = y[i].qs;
+        const uint8_t  * GGML_RESTRICT scales = x[i].scales;
+
+        int32_t sum_int = 0;
+
+        // Loop over 4 subblocks of 64 elements (QK_K = 256)
+        for (int ib64 = 0; ib64 < QK_K / 64; ++ib64) {
+            // Load 8 uint16 indices (controls 64 values)
+            vuint16mf2_t v_qs = __riscv_vle16_v_u16mf2(qs, 8);
+            qs += 8;
+
+            // Extract indices for grid (low 9 bits) and signs (high 7 bits)
+            // Multiply by 8 (<< 3) for byte offsets into the uint64 tables
+            vuint16mf2_t vidx_grid = __riscv_vsll_vx_u16mf2(__riscv_vand_vx_u16mf2(v_qs, 511, 8), 3, 8);
+            vuint16mf2_t vidx_sign = __riscv_vsll_vx_u16mf2(__riscv_vsrl_vx_u16mf2(v_qs, 9, 8), 3, 8);
+
+            vuint64m2_t vq2_64 = __riscv_vluxei16_v_u64m2(grid64, vidx_grid, 8);
+            vuint64m2_t vs2_64 = __riscv_vluxei16_v_u64m2(signs64, vidx_sign, 8);
+
+            vint8m2_t q2u = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vq2_64));
+            vint8m2_t q2s = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vs2_64));
+
+            vint8m2_t q2_final = __riscv_vmul_vv_i8m2(q2u, q2s, 64);
+
+            vint8m2_t q8v = __riscv_vle8_v_i8m2(q8, 64);
+            q8 += 64;
+
+            vint16m4_t prod = __riscv_vwmul_vv_i16m4(q2_final, q8v, 64);
+
+            vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1);
+
+            int32_t sum0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                           __riscv_vget_v_i16m4_i16m1(prod, 0), zero_vec, 16));
+            int32_t sum1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                           __riscv_vget_v_i16m4_i16m1(prod, 1), zero_vec, 16));
+            int32_t sum2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                           __riscv_vget_v_i16m4_i16m1(prod, 2), zero_vec, 16));
+            int32_t sum3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1(
+                           __riscv_vget_v_i16m4_i16m1(prod, 3), zero_vec, 16));
+
+            const uint8_t scale_byte_1 = scales[0];
+            const uint8_t scale_byte_2 = scales[1];
+            scales += 2;
+
+            sum_int += sum0 * ((scale_byte_1 & 0x0F) * 2 + 1);
+            sum_int += sum1 * ((scale_byte_1 >> 4)   * 2 + 1);
+            sum_int += sum2 * ((scale_byte_2 & 0x0F) * 2 + 1);
+            sum_int += sum3 * ((scale_byte_2 >> 4)   * 2 + 1);
+        }
+
+        sumf += d * sum_int;
+    }
+    *s = 0.125f * sumf;
+}
+
+void ggml_vec_dot_iq2_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+      switch (__riscv_vlenb() * 8) {
+          case 256:
+              ggml_vec_dot_iq2_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+              break;
+          default:
+              ggml_vec_dot_iq2_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+              break;
+      }
+#else
+    ggml_vec_dot_iq2_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq2_xxs * GGML_RESTRICT x = vx;
+    const block_q8_K    * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint64_t * grid64  = (const uint64_t *)iq2xxs_grid;
+
+    uint32_t shift_constants[4] = {0, 7, 14, 21};
+    vuint32m1_t v_shifts = __riscv_vle32_v_u32m1(shift_constants, 4);
+
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t  * GGML_RESTRICT q2_ptr = (const uint8_t *) x[i].qs;
+        const int8_t   * GGML_RESTRICT q8 = y[i].qs;
+
+        float sum = 0.0f;
+
+        #pragma GCC unroll 1
+        for (int ib32 = 0; ib32 < QK_K / 32; ib32 += 2) {
+            vint8m2_t q8_1 = __riscv_vle8_v_i8m2(q8, 32); q8 += 32;
+            vint8m2_t q8_2 = __riscv_vle8_v_i8m2(q8, 32); q8 += 32;
+
+            vuint8mf4_t v_raw_q2_1 = __riscv_vle8_v_u8mf4(q2_ptr, 4);
+            vuint8mf4_t v_raw_q2_2 = __riscv_vle8_v_u8mf4(q2_ptr + 8, 4);
+
+            vuint16mf2_t vidx_q2_1 = __riscv_vwcvtu_x_x_v_u16mf2(v_raw_q2_1, 4);
+            vuint16mf2_t vidx_q2_2 = __riscv_vwcvtu_x_x_v_u16mf2(v_raw_q2_2, 4);
+
+            vidx_q2_1 = __riscv_vsll_vx_u16mf2(vidx_q2_1, 3, 4);
+            vidx_q2_2 = __riscv_vsll_vx_u16mf2(vidx_q2_2, 3, 4);
+
+            uint32_t s_packed_1, s_packed_2;
+            memcpy(&s_packed_1, q2_ptr + 4, 4);
+            memcpy(&s_packed_2, q2_ptr + 12, 4);
+
+            vuint32m1_t v_s_1 = __riscv_vmv_v_x_u32m1(s_packed_1, 4);
+            vuint32m1_t v_s_2 = __riscv_vmv_v_x_u32m1(s_packed_2, 4);
+            v_s_1 = __riscv_vsrl_vv_u32m1(v_s_1, v_shifts, 4);
+            v_s_2 = __riscv_vsrl_vv_u32m1(v_s_2, v_shifts, 4);
+
+            v_s_1 = __riscv_vand_vx_u32m1(v_s_1, 127, 4);
+            v_s_2 = __riscv_vand_vx_u32m1(v_s_2, 127, 4);
+
+            vuint16mf2_t vidx_s2_1 = __riscv_vsll_vx_u16mf2(__riscv_vncvt_x_x_w_u16mf2(v_s_1, 4), 3, 4);
+            vuint16mf2_t vidx_s2_2 = __riscv_vsll_vx_u16mf2(__riscv_vncvt_x_x_w_u16mf2(v_s_2, 4), 3, 4);
+
+            vuint64m2_t vq2_64_1 = __riscv_vluxei16_v_u64m2(grid64, vidx_q2_1, 4);
+            vuint64m2_t vq2_64_2 = __riscv_vluxei16_v_u64m2(grid64, vidx_q2_2, 4);
+
+            vint8m2_t q2_1 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vq2_64_1));
+            vint8m2_t q2_2 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vq2_64_2));
+
+            vuint64m2_t vs2_64_1 = __riscv_vluxei16_v_u64m2(signs64, vidx_s2_1, 4);
+            vuint64m2_t vs2_64_2 = __riscv_vluxei16_v_u64m2(signs64, vidx_s2_2, 4);
+            vint8m2_t s2_1 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vs2_64_1));
+            vint8m2_t s2_2 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vs2_64_2));
+
+            vint8m2_t q8s_1 = __riscv_vmul_vv_i8m2(q8_1, s2_1, 32);
+            vint8m2_t q8s_2 = __riscv_vmul_vv_i8m2(q8_2, s2_2, 32);
+
+            vint16m4_t dot1 = __riscv_vwmul_vv_i16m4(q8s_1, q2_1, 32);
+            vint16m4_t dot2 = __riscv_vwmul_vv_i16m4(q8s_2, q2_2, 32);
+
+            vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1);
+            vint32m1_t sumv1 = __riscv_vwredsum_vs_i16m4_i32m1(dot1, zero_vec, 32);
+            vint32m1_t sumv2 = __riscv_vwredsum_vs_i16m4_i32m1(dot2, zero_vec, 32);
+
+            int32_t scalar_sum1 = __riscv_vmv_x_s_i32m1_i32(sumv1);
+            int32_t scalar_sum2 = __riscv_vmv_x_s_i32m1_i32(sumv2);
+
+            int16_t scale1 = 2 * ((s_packed_1 >> 28) & 0xF) + 1;
+            int16_t scale2 = 2 * ((s_packed_2 >> 28) & 0xF) + 1;
+
+            sum += scalar_sum1 * scale1 + scalar_sum2 * scale2;
+            q2_ptr += 16;
+        }
+        sumf += sum * combined_scale;
+    }
+    *s = 0.125f * sumf;
+}
+
+static void ggml_vec_dot_iq2_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq2_xxs * GGML_RESTRICT x = vx;
+    const block_q8_K    * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint64_t * grid64  = (const uint64_t *)iq2xxs_grid;
+
+    uint32_t shift_constants[4] = {0, 7, 14, 21};
+    vuint32mf2_t v_shifts = __riscv_vle32_v_u32mf2(shift_constants, 4);
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t  * GGML_RESTRICT q2_ptr = (const uint8_t *) x[i].qs;
+        const int8_t   * GGML_RESTRICT q8 = y[i].qs;
+
+        float sum = 0.0f;
+
+        for (int ib32 = 0; ib32 < QK_K / 32; ib32 += 2) {
+            vint8m1_t q8_1 = __riscv_vle8_v_i8m1(q8, 32); q8 += 32;
+            vint8m1_t q8_2 = __riscv_vle8_v_i8m1(q8, 32); q8 += 32;
+
+            vuint8mf8_t v_raw_q2_1 = __riscv_vle8_v_u8mf8(q2_ptr, 4);
+            vuint8mf8_t v_raw_q2_2 = __riscv_vle8_v_u8mf8(q2_ptr + 8, 4);
+
+            vuint16mf4_t vidx_q2_1 = __riscv_vwcvtu_x_x_v_u16mf4(v_raw_q2_1, 4);
+            vuint16mf4_t vidx_q2_2 = __riscv_vwcvtu_x_x_v_u16mf4(v_raw_q2_2, 4);
+
+            vidx_q2_1 = __riscv_vsll_vx_u16mf4(vidx_q2_1, 3, 4);
+            vidx_q2_2 = __riscv_vsll_vx_u16mf4(vidx_q2_2, 3, 4);
+
+            uint32_t s_packed_1, s_packed_2;
+            memcpy(&s_packed_1, q2_ptr + 4, 4);
+            memcpy(&s_packed_2, q2_ptr + 12, 4);
+
+            vuint32mf2_t v_s_1 = __riscv_vmv_v_x_u32mf2(s_packed_1, 4);
+            vuint32mf2_t v_s_2 = __riscv_vmv_v_x_u32mf2(s_packed_2, 4);
+
+            v_s_1 = __riscv_vsrl_vv_u32mf2(v_s_1, v_shifts, 4);
+            v_s_2 = __riscv_vsrl_vv_u32mf2(v_s_2, v_shifts, 4);
+
+            v_s_1 = __riscv_vand_vx_u32mf2(v_s_1, 127, 4);
+            v_s_2 = __riscv_vand_vx_u32mf2(v_s_2, 127, 4);
+
+            // Narrow u32 -> u16 (vncvt) and Scale by 8 to get byte offsets
+            vuint16mf4_t vidx_s2_1 = __riscv_vsll_vx_u16mf4(__riscv_vncvt_x_x_w_u16mf4(v_s_1, 4), 3, 4);
+            vuint16mf4_t vidx_s2_2 = __riscv_vsll_vx_u16mf4(__riscv_vncvt_x_x_w_u16mf4(v_s_2, 4), 3, 4);
+
+            // Load q2 values from lookup grid
+            vuint64m1_t vq2_64_1 = __riscv_vluxei16_v_u64m1(grid64, vidx_q2_1, 4);
+            vuint64m1_t vq2_64_2 = __riscv_vluxei16_v_u64m1(grid64, vidx_q2_2, 4);
+            vint8m1_t q2_1 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vq2_64_1));
+            vint8m1_t q2_2 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vq2_64_2));
+
+            // Load sign values
+            vuint64m1_t vs2_64_1 = __riscv_vluxei16_v_u64m1(signs64, vidx_s2_1, 4);
+            vuint64m1_t vs2_64_2 = __riscv_vluxei16_v_u64m1(signs64, vidx_s2_2, 4);
+            vint8m1_t s2_1 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vs2_64_1));
+            vint8m1_t s2_2 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vs2_64_2));
+
+            // Apply signs to q8
+            vint8m1_t q8s_1 = __riscv_vmul_vv_i8m1(q8_1, s2_1, 32);
+            vint8m1_t q8s_2 = __riscv_vmul_vv_i8m1(q8_2, s2_2, 32);
+
+            // multiplying q2 with q8
+            vint16m2_t dot1 = __riscv_vwmul_vv_i16m2(q8s_1, q2_1, 32);
+            vint16m2_t dot2 = __riscv_vwmul_vv_i16m2(q8s_2, q2_2, 32);
+
+            vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1);
+            vint32m1_t sumv1 = __riscv_vwredsum_vs_i16m2_i32m1(dot1, zero_vec, 32);
+            vint32m1_t sumv2 = __riscv_vwredsum_vs_i16m2_i32m1(dot2, zero_vec, 32);
+            int32_t scalar_sum1 = __riscv_vmv_x_s_i32m1_i32(sumv1);
+            int32_t scalar_sum2 = __riscv_vmv_x_s_i32m1_i32(sumv2);
+            int16_t scale1 = 2 * ((s_packed_1 >> 28) & 0xF) + 1;
+            int16_t scale2 = 2 * ((s_packed_2 >> 28) & 0xF) + 1;
+
+            sum += scalar_sum1 * scale1 + scalar_sum2 * scale2;
+            q2_ptr += 16;
+        }
+        sumf += sum * combined_scale;
+    }
+    *s = 0.125f * sumf;
+}
+
+void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq2_xxs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq2_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq2_xxs_q8_K(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq3_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    const uint64_t * grid64 = (const uint64_t *)iq3s_grid;
+
+    // --- Pre-load Constants ---
+    const uint16_t qh_bit_shifts_arr[16] = {
+        0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
+    };
+    vuint8m2_t v_sign_gather_indices = __riscv_vle8_v_u8m2(sign_gather_indices_arr, 64);
+    vuint8m2_t v_sign_masks = __riscv_vle8_v_u8m2(sign_bit_masks_arr, 64);
+    vuint16m1_t v_qh_shifts = __riscv_vle16_v_u16m1(qh_bit_shifts_arr, 16);
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d);
+        const float combined_scale = d * y[i].d;
+
+        const uint8_t * GGML_RESTRICT qs = x[i].qs;
+        const uint8_t * GGML_RESTRICT qh = x[i].qh;
+        const uint8_t * GGML_RESTRICT scales = x[i].scales;
+        const uint8_t * GGML_RESTRICT signs = x[i].signs;
+        const int8_t  * GGML_RESTRICT q8 = y[i].qs;
+
+        float sum_block = 0.0f;
+
+        // Loop: Process 64 weights (16 mini-blocks of 4) per iteration
+        for (int ib = 0; ib < 4; ++ib) {
+
+            vuint8mf2_t v_qs_u8 = __riscv_vle8_v_u8mf2(qs, 16);
+            qs += 16;
+
+            uint16_t qh_val;
+            memcpy(&qh_val, qh, 2);
+            qh += 2;
+
+            vuint16m1_t v_qh_val = __riscv_vmv_v_x_u16m1(qh_val, 16);
+            // Extract bits: (qh >> i) & 1
+            v_qh_val = __riscv_vsrl_vv_u16m1(v_qh_val, v_qh_shifts, 16);
+            v_qh_val = __riscv_vand_vx_u16m1(v_qh_val, 1, 16);
+
+            vuint16m1_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qs_u8, 16);
+            v_qs_u16 = __riscv_vsll_vx_u16m1(v_qs_u16, 2, 16);
+            v_qh_val = __riscv_vsll_vx_u16m1(v_qh_val, 10, 16);
+            vuint16m1_t v_grid_offsets = __riscv_vor_vv_u16m1(v_qs_u16, v_qh_val, 16);
+
+            // Grid value is 4xuint8
+            vuint32m2_t v_grid_packed = __riscv_vluxei16_v_u32m2((const uint32_t *)grid64, v_grid_offsets, 16);
+            vuint8m2_t v_grid_u8 = __riscv_vreinterpret_v_u32m2_u8m2(v_grid_packed);
+            vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs, 8);
+            signs += 8;
+
+            // Generate sign mask
+            vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw);
+            vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 64);
+            vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 64);
+            vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 64);
+
+            vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64);
+            q8 += 64;
+
+            // Apply Signs
+            vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 64);
+            vint16m4_t v_dot = __riscv_vwmulsu_vv_i16m4(v_q8_signed, v_grid_u8, 64);
+
+            // Reduction
+            vint16m2_t v_dot_lo = __riscv_vget_v_i16m4_i16m2(v_dot, 0);
+            vint16m2_t v_dot_hi = __riscv_vget_v_i16m4_i16m2(v_dot, 1);
+            vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+
+            int32_t s_lo = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(v_dot_lo, v_zero, 32));
+            int32_t s_hi = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(v_dot_hi, v_zero, 32));
+
+            // Apply sub-scales
+            uint8_t sc_byte = *scales++;
+            int sc_lo = (sc_byte & 0xF) * 2 + 1;
+            int sc_hi = (sc_byte >> 4)  * 2 + 1;
+
+            sum_block += s_lo * sc_lo + s_hi * sc_hi;
+        }
+        sumf += sum_block * combined_scale;
+    }
+    *s = sumf;
+}
+
+void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_iq3_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq3_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq3_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq3_xxs * GGML_RESTRICT x = vx;
+    const block_q8_K    * GGML_RESTRICT y = vy;
+    const int nb = n / QK_K;
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint32_t * grid32  = (const uint32_t *)iq3xxs_grid;
+
+    // constants for unpacking logic
+    const uint32_t shifts_val[8] = {0, 7, 14, 21, 0, 7, 14, 21};
+    vuint32m1_t v_shifts = __riscv_vle32_v_u32m1(shifts_val, 8);
+
+    const uint32_t gather_idx_val[8] = {0, 0, 0, 0, 1, 1, 1, 1};
+    vuint32m1_t v_gather_idx = __riscv_vle32_v_u32m1(gather_idx_val, 8);
+
+    uint32_t aux32[2];
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t * GGML_RESTRICT q3_indices = x[i].qs;
+        const uint8_t * GGML_RESTRICT metadata   = x[i].qs + QK_K/4;
+        const int8_t  * GGML_RESTRICT q8         = y[i].qs;
+
+        float block_sum = 0.0f;
+
+        for (int ib = 0; ib < QK_K / 64; ++ib) {
+            // Load q8 (64 bytes)
+            vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64);
+            q8 += 64;
+
+            // load of metadata via memcpy
+            memcpy(aux32, metadata, 2 * sizeof(uint32_t));
+            metadata += 2 * sizeof(uint32_t);
+
+            // Load q3 indices and gather magnitudes
+            vuint8mf2_t v_q3_idx_u8 = __riscv_vle8_v_u8mf2(q3_indices, 16);
+            q3_indices += 16;
+
+            vuint16m1_t v_q3_idx_u16 = __riscv_vwmulu_vx_u16m1(v_q3_idx_u8, 4, 16);
+            vuint32m2_t v_q3_magnitudes_u32 = __riscv_vluxei16_v_u32m2(grid32, v_q3_idx_u16, 16);
+            vint8m2_t v_q3_magnitudes = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u32m2_u8m2(v_q3_magnitudes_u32));
+
+            // --- Unpacking of Sign Indices ---
+
+            // 1. Load the 2 auxiliary 32-bit integers into a vector
+            vuint32m1_t v_aux = __riscv_vle32_v_u32m1(aux32, 2);
+
+            // 2. Broadcast/Gather: replicate aux[0] to first 4 lanes, aux[1] to next 4 lanes
+            vuint32m1_t v_aux_expanded = __riscv_vrgather_vv_u32m1(v_aux, v_gather_idx, 8);
+
+            // 3. Apply Shifts and Mask: ((val >> shift) & 127)
+            vuint32m1_t v_s_vals_raw = __riscv_vand_vx_u32m1(__riscv_vsrl_vv_u32m1(v_aux_expanded, v_shifts, 8), 127, 8);
+
+            // 4. Narrow to u16 (required for vluxei index) and multiply by 8 (byte offset for u64 table)
+            vuint16mf2_t sign_indices_byte_offset = __riscv_vsll_vx_u16mf2(__riscv_vncvt_x_x_w_u16mf2(v_s_vals_raw, 8), 3, 8);
+
+            // 5. Gather Signs
+            vuint64m2_t v_s_vals_u64 = __riscv_vluxei16_v_u64m2(signs64, sign_indices_byte_offset, 8);
+            vint8m2_t v_s_vals = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(v_s_vals_u64));
+
+            vint8m2_t v_q3_signed = __riscv_vmul_vv_i8m2(v_q3_magnitudes, v_s_vals, 64);
+            vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_q8, v_q3_signed, 64);
+
+            vint16m2_t v_dot_1 = __riscv_vget_v_i16m4_i16m2(v_dot, 0);
+            vint16m2_t v_dot_2 = __riscv_vget_v_i16m4_i16m2(v_dot, 1);
+
+            vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+            vint32m1_t v_sum_1 = __riscv_vwredsum_vs_i16m2_i32m1(v_dot_1, v_zero, 32);
+            vint32m1_t v_sum_2 = __riscv_vwredsum_vs_i16m2_i32m1(v_dot_2, v_zero, 32);
+
+            int32_t sum1_i = __riscv_vmv_x_s_i32m1_i32(v_sum_1);
+            int32_t sum2_i = __riscv_vmv_x_s_i32m1_i32(v_sum_2);
+
+            const float scale1_f = (float)(2 * (aux32[0] >> 28) + 1);
+            const float scale2_f = (float)(2 * (aux32[1] >> 28) + 1);
+
+            block_sum += sum1_i * scale1_f + sum2_i * scale2_f;
+        }
+
+        sumf += d * block_sum;
+    }
+    *s = 0.25f * sumf;
+}
+
+void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_iq3_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq3_xxs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq3_xxs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK4_NL == 0);
+    static_assert(QK4_NL == QK8_0, "QK4_NL and QK8_0 must be the same");
+
+    const block_iq4_nl * GGML_RESTRICT x = vx;
+    const block_q8_0   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK4_NL;
+
+    int ib = 0;
+    float sumf = 0;
+
+    // Load the lookup table once.
+    const vint8m2_t values = __riscv_vle8_v_i8m2(kvalues_iq4nl, 16);
+    int acc1, acc2;
+
+    // We process 2 blocks at once.
+    for (; ib + 1 < nb; ib += 2) {
+        // Weights and activations.
+        vuint8m1_t iq4_packed1 = __riscv_vle8_v_u8m1(x[ib + 0].qs, 16);
+        vint8m2_t q8b1 = __riscv_vle8_v_i8m2(y[ib + 0].qs, 32);
+        vuint8m1_t iq4_packed2 = __riscv_vle8_v_u8m1(x[ib + 1].qs, 16);
+        vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32);
+
+        // Unpack the weight blocks.
+        vuint8m2_t iq4bits1;
+        iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 0, __riscv_vand_vx_u8m1(iq4_packed1, 0xf, 16));
+        iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 1, __riscv_vsrl_vx_u8m1(iq4_packed1, 4, 16));
+        vuint8m2_t iq4bits2;
+        iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 0, __riscv_vand_vx_u8m1(iq4_packed2, 0xf, 16));
+        iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 1, __riscv_vsrl_vx_u8m1(iq4_packed2, 4, 16));
+
+        // Gather values from the lookup table.
+        vint8m2_t iq4b1 = __riscv_vrgather_vv_i8m2(values, iq4bits1, 32);
+        vint8m2_t iq4b2 = __riscv_vrgather_vv_i8m2(values, iq4bits2, 32);
+
+        // Accumulation.
+        vint16m4_t sum1 = __riscv_vwmul_vv_i16m4(q8b1, iq4b1, 32);
+        vint16m4_t sum2 = __riscv_vwmul_vv_i16m4(q8b2, iq4b2, 32);
+        __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m4_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+        __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m4_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+        sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 0].d) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1));
+        sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 1].d) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2));
+    }
+
+    *s = sumf;
+}
+
+static void ggml_vec_dot_iq4_nl_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK4_NL == 0);
+    static_assert(QK4_NL == QK8_0, "QK4_NL and QK8_0 must be the same");
+
+    const block_iq4_nl * GGML_RESTRICT x = vx;
+    const block_q8_0   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK4_NL;
+
+    int ib = 0;
+    float sumf = 0;
+
+    // Load the lookup table once.
+    const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_iq4nl, 16);
+    int acc1, acc2;
+
+    // We process 2 blocks at once.
+    for (; ib + 1 < nb; ib += 2) {
+        // Weights and activations.
+        vuint8mf2_t iq4_packed1 = __riscv_vle8_v_u8mf2(x[ib + 0].qs, 16);
+        vint8mf2_t q8b_lo1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs, 16);
+        vint8mf2_t q8b_hi1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs + 16, 16);
+        vuint8mf2_t iq4_packed2 = __riscv_vle8_v_u8mf2(x[ib + 1].qs, 16);
+        vint8mf2_t q8b_lo2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs, 16);
+        vint8mf2_t q8b_hi2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs + 16, 16);
+
+        // Unpack the weight blocks.
+        vuint8mf2_t iq4bits_lo1 = __riscv_vand_vx_u8mf2(iq4_packed1, 0xf, 16);
+        vuint8mf2_t iq4bits_hi1 = __riscv_vsrl_vx_u8mf2(iq4_packed1, 4, 16);
+        vuint8mf2_t iq4bits_lo2 = __riscv_vand_vx_u8mf2(iq4_packed2, 0xf, 16);
+        vuint8mf2_t iq4bits_hi2 = __riscv_vsrl_vx_u8mf2(iq4_packed2, 4, 16);
+
+        // Gather values from the lookup table.
+        vint8mf2_t iq4b_lo1 = __riscv_vrgather_vv_i8mf2(values, iq4bits_lo1, 16);
+        vint8mf2_t iq4b_hi1 = __riscv_vrgather_vv_i8mf2(values, iq4bits_hi1, 16);
+        vint8mf2_t iq4b_lo2 = __riscv_vrgather_vv_i8mf2(values, iq4bits_lo2, 16);
+        vint8mf2_t iq4b_hi2 = __riscv_vrgather_vv_i8mf2(values, iq4bits_hi2, 16);
+
+        // Accumulation.
+        vint16m1_t sum1 = __riscv_vwmul_vv_i16m1(q8b_lo1, iq4b_lo1, 16);
+        sum1 = __riscv_vwmacc_vv_i16m1(sum1, q8b_hi1, iq4b_hi1, 16);
+        vint16m1_t sum2 = __riscv_vwmul_vv_i16m1(q8b_lo2, iq4b_lo2, 16);
+        sum2 = __riscv_vwmacc_vv_i16m1(sum2, q8b_hi2, iq4b_hi2, 16);
+        __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m1_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 16), 1);
+        __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m1_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 16), 1);
+        sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 0].d) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1));
+        sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 1].d) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2));
+    }
+
+    *s = sumf;
+}
+
+void ggml_vec_dot_iq4_nl_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq4_nl_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq4_nl_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq4_nl_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_K == 0);
+
+    const block_iq4_xs * GGML_RESTRICT x = vx;
+    const block_q8_K   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+#if defined __riscv_v_intrinsic
+    const vint8m4_t values = __riscv_vle8_v_i8m4(kvalues_iq4nl, 16);
+    float sumf = 0;
+    int acc[4];
+
+    // Indices for re-ordering IQ4 data.
+    uint64_t index[16] = {
+        0, 1, 8, 9,
+        2, 3, 10, 11,
+        4, 5,12, 13,
+        6, 7, 14, 15,
+    };
+    vuint64m4_t i_vec = __riscv_vle64_v_u64m4(index, 16);
+
+    for (int ibl = 0; ibl < nb; ++ibl) {
+        const int8_t  * q8 = y[ibl].qs;
+        const uint8_t * iq4 = x[ibl].qs;
+        uint16_t h = x[ibl].scales_h;
+
+        int sumi1 = 0, sumi2 = 0, sumi3 = 0, sumi4 = 0;
+
+        for (int ib = 0; ib < QK_K / 128; ++ib) {
+            // Weights and activations.
+            vuint8m2_t iq4_packed = __riscv_vle8_v_u8m2(iq4, 64);
+            vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
+            iq4 += 64;
+            q8 += 128;
+
+            // Unpack the weight blocks.
+            vuint8m2_t iq4bits_lo = __riscv_vand_vx_u8m2(iq4_packed, 0xf, 64);
+            vuint8m2_t iq4bits_hi = __riscv_vsrl_vx_u8m2(iq4_packed, 4, 64);
+            vuint8m4_t iq4bits;
+            iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 0, iq4bits_lo);
+            iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 1, iq4bits_hi);
+            vuint8m4_t iq4bits_reorder = __riscv_vreinterpret_v_u64m4_u8m4(__riscv_vrgather_vv_u64m4(__riscv_vreinterpret_v_u8m4_u64m4(iq4bits), i_vec, 16));
+            vint8m4_t iq4b = __riscv_vrgather_vv_i8m4(values, iq4bits_reorder, 128);
+
+            // Multiply with activations.
+            vint16m8_t prod = __riscv_vwmul_vv_i16m8(iq4b, q8b, 128);
+
+            // Reduce separately.
+            __riscv_vse32_v_i32m1(&acc[0],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+            __riscv_vse32_v_i32m1(&acc[1],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+            __riscv_vse32_v_i32m1(&acc[2],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 2), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+            __riscv_vse32_v_i32m1(&acc[3],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 3), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+
+            int ls1 = ((x[ibl].scales_l[ib * 2 + 0] & 0xf)  | ((h << 4) & 0x30)) - 32;
+            int ls2 = ((x[ibl].scales_l[ib * 2 + 0] >>  4)  | ((h << 2) & 0x30)) - 32;
+            int ls3 = ((x[ibl].scales_l[ib * 2 + 1] &  0xf) | ((h << 0) & 0x30)) - 32;
+            int ls4 = ((x[ibl].scales_l[ib * 2 + 1] >>  4)  | ((h >> 2) & 0x30)) - 32;
+            h >>= 8;
+
+            sumi1 += acc[0] * ls1;
+            sumi2 += acc[1] * ls2;
+            sumi3 += acc[2] * ls3;
+            sumi4 += acc[3] * ls4;
+        }
+
+        sumf += GGML_CPU_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2 + sumi3 + sumi4);
+    }
+
+    *s = sumf;
+
+#else
+    UNUSED(x);
+    UNUSED(y);
+    UNUSED(nb);
+    ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_iq4_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_tq1_0 * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0.0f;
+    uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27};
+
+    for (int i = 0; i < nb; i++) {
+        // First loop.
+        vint32m4_t suml1;
+        {
+            const int vl = 32;
+            vuint8m1_t tq = __riscv_vle8_v_u8m1(x[i].qs, vl);
+
+            vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(tq, 3, vl), 8, vl);
+            vuint16m2_t tq1 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 3, vl), 3, vl), 8, vl);
+            vuint16m2_t tq2 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 9, vl), 3, vl), 8, vl);
+            vuint16m2_t tq3 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 27, vl), 3, vl), 8, vl);
+            vuint16m2_t tq4 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 81, vl), 3, vl), 8, vl);
+
+            vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 0, vl), vl);
+            vint16m2_t q81 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 32, vl), vl);
+            vint16m2_t q82 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 64, vl), vl);
+            vint16m2_t q83 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 96, vl), vl);
+            vint16m2_t q84 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 128, vl), vl);
+
+            vint16m2_t sum0 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl);
+            vint16m2_t sum1 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq1, 1, vl)), q81, vl);
+            vint16m2_t sum2 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq2, 1, vl)), q82, vl);
+            vint16m2_t sum3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq3, 1, vl)), q83, vl);
+            vint16m2_t sum4 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq4, 1, vl)), q84, vl);
+
+            vint32m4_t sumi0 = __riscv_vwadd_vv_i32m4(sum0, sum1, vl);
+            vint32m4_t sumi1 = __riscv_vwadd_vv_i32m4(sum2, sum3, vl);
+            suml1 = __riscv_vadd_vv_i32m4(__riscv_vwcvt_x_x_v_i32m4(sum4, vl), __riscv_vadd_vv_i32m4(sumi0, sumi1, vl), vl);
+        }
+
+        // Second loop.
+        vint32m2_t suml2;
+        {
+            const int vl = 16;
+            vuint8mf2_t tq = __riscv_vle8_v_u8mf2(x[i].qs + 32, vl);
+
+            vuint16m1_t tq0 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(tq, 3 * 1, vl), 8, vl);
+            vuint16m1_t tq1 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 3, vl), 3, vl), 8, vl);
+            vuint16m1_t tq2 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 9, vl), 3, vl), 8, vl);
+            vuint16m1_t tq3 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 27, vl), 3, vl), 8, vl);
+            vuint16m1_t tq4 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 81, vl), 3, vl), 8, vl);
+
+            vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 160, vl), vl);
+            vint16m1_t q81 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 176, vl), vl);
+            vint16m1_t q82 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 192, vl), vl);
+            vint16m1_t q83 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 208, vl), vl);
+            vint16m1_t q84 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 224, vl), vl);
+
+            vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl);
+            vint16m1_t sum1 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq1, 1, vl)), q81, vl);
+            vint16m1_t sum2 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq2, 1, vl)), q82, vl);
+            vint16m1_t sum3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq3, 1, vl)), q83, vl);
+            vint16m1_t sum4 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq4, 1, vl)), q84, vl);
+
+            vint32m2_t sumi0 = __riscv_vwadd_vv_i32m2(sum0, sum1, vl);
+            vint32m2_t sumi1 = __riscv_vwadd_vv_i32m2(sum2, sum3, vl);
+            suml2 = __riscv_vadd_vv_i32m2(__riscv_vwcvt_x_x_v_i32m2(sum4, vl), __riscv_vadd_vv_i32m2(sumi0, sumi1, vl), vl);
+        }
+
+        // Third loop.
+        vint32m2_t suml3;
+        {
+            const int vl = 16;
+
+            uint32_t qh;
+            memcpy(&qh, &x[i].qh[0], 4);
+            // Prevent fusion with vmv.
+            __asm__ __volatile__("" : "+r"(qh));
+            vuint8mf2_t tq = __riscv_vreinterpret_v_u32mf2_u8mf2(__riscv_vmv_v_x_u32mf2(qh, vl / 4));
+
+            vuint8mf2_t p = __riscv_vle8_v_u8mf2(pow, vl);
+
+            vuint16m1_t tq0 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vv_u8mf2(tq, p, vl), 3, vl), 8, vl);
+
+            vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 240, vl), vl);
+
+            vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl);
+            suml3 = __riscv_vwcvt_x_x_v_i32m2(sum0, vl);
+        }
+
+        vint32m2_t sumb = __riscv_vadd_vv_i32m2(__riscv_vget_v_i32m4_i32m2(suml1, 0), __riscv_vget_v_i32m4_i32m2(suml1, 1), 16);
+        sumb = __riscv_vadd_vv_i32m2(sumb, suml2, 16);
+        sumb = __riscv_vadd_vv_i32m2(sumb, suml3, 16);
+
+        vint32m1_t sum = __riscv_vredsum_vs_i32m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
+        sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
+    }
+
+    *s = sumf;
+}
+
+void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_tq1_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_tq1_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_tq1_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_tq2_0 * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        int32_t sumi = 0;
+
+        for (size_t j = 0; j < sizeof(x[0].qs); j += 32) {
+            const int8_t * py0 = &y[i].qs[j * 4 + 0 * 32];
+            const int8_t * py1 = &y[i].qs[j * 4 + 1 * 32];
+            const int8_t * py2 = &y[i].qs[j * 4 + 2 * 32];
+            const int8_t * py3 = &y[i].qs[j * 4 + 3 * 32];
+            const uint8_t* px  = &x[i].qs[j];
+
+            size_t vlmax_16m2 = __riscv_vsetvl_e16m2(32);
+            vint16m2_t vacc16 = __riscv_vmv_v_x_i16m2(0, vlmax_16m2);
+
+            size_t vl = __riscv_vsetvl_e8m1(32);
+
+            vuint8m1_t vx_u8 = __riscv_vle8_v_u8m1(px, vl);
+
+            vint8m1_t vy0 = __riscv_vle8_v_i8m1(py0 , vl);
+            vint8m1_t vy1 = __riscv_vle8_v_i8m1(py1, vl);
+            vint8m1_t vy2 = __riscv_vle8_v_i8m1(py2, vl);
+            vint8m1_t vy3 = __riscv_vle8_v_i8m1(py3, vl);
+
+            // l=0 (bits 1:0)
+            vuint8m1_t t0 = __riscv_vand_vx_u8m1(vx_u8, 0x03, vl);
+            vint8m1_t vq0 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t0), 1, vl);
+
+            // l=1 (bits 3:2)
+            vuint8m1_t t1 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(vx_u8, 2, vl), 0x03, vl);
+            vint8m1_t vq1 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t1), 1, vl);
+
+            // l=2 (bits 5:4)
+            vuint8m1_t t2 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(vx_u8, 4, vl), 0x03, vl);
+            vint8m1_t vq2 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t2), 1, vl);
+
+            // l=3 (bits 7:6)
+            vuint8m1_t t3 = __riscv_vsrl_vx_u8m1(vx_u8, 6, vl); // No final AND needed as vsrl shifts in zeros
+            vint8m1_t vq3 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t3), 1, vl);
+
+            // 4. Multiply and accumulate
+            vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq0, vy0, vl);
+            vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq1, vy1, vl);
+            vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq2, vy2, vl);
+            vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq3, vy3, vl);
+
+            vlmax_16m2 = __riscv_vsetvl_e16m2(32);
+            vint32m1_t vzero32 = __riscv_vmv_v_x_i32m1(0, 1);
+            vint32m1_t vred32 = __riscv_vwredsum_vs_i16m2_i32m1(vacc16, vzero32, vlmax_16m2);
+
+            sumi += __riscv_vmv_x_s_i32m1_i32(vred32);
+        }
+        const float d = y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
+        sumf += (float)sumi * d;
+    }
+
+    *s = sumf;
+}
+
+void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 256:
+            ggml_vec_dot_tq2_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_tq2_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    ggml_vec_dot_tq2_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_MXFP4 == 0);
+    static_assert(QK_MXFP4 == QK8_0, "QK_MXFP4 and QK8_0 must be the same");
+
+    const block_mxfp4 * GGML_RESTRICT x = vx;
+    const block_q8_0  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_MXFP4;
+
+    int ib = 0;
+    float sumf = 0;
+
+    // Load the lookup table once.
+    const vint8m2_t values = __riscv_vle8_v_i8m2(kvalues_mxfp4, 16);
+    int acc1, acc2;
+
+    // We process 2 blocks at once.
+    for (; ib + 1 < nb; ib += 2) {
+        // Weights and activations.
+        vuint8m1_t mx_packed1 = __riscv_vle8_v_u8m1(x[ib + 0].qs, 16);
+        vint8m2_t q8b1 = __riscv_vle8_v_i8m2(y[ib + 0].qs, 32);
+        vuint8m1_t mx_packed2 = __riscv_vle8_v_u8m1(x[ib + 1].qs, 16);
+        vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32);
+
+        // Unpack the weight blocks.
+        vuint8m2_t mxbits1;
+        mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 0, __riscv_vand_vx_u8m1(mx_packed1, 0xf, 16));
+        mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 1, __riscv_vsrl_vx_u8m1(mx_packed1, 4, 16));
+        vuint8m2_t mxbits2;
+        mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 0, __riscv_vand_vx_u8m1(mx_packed2, 0xf, 16));
+        mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 1, __riscv_vsrl_vx_u8m1(mx_packed2, 4, 16));
+
+        // Gather values from the lookup table.
+        vint8m2_t mxb1 = __riscv_vrgather_vv_i8m2(values, mxbits1, 32);
+        vint8m2_t mxb2 = __riscv_vrgather_vv_i8m2(values, mxbits2, 32);
+
+        // Accumulation.
+        vint16m4_t sum1 = __riscv_vwmul_vv_i16m4(q8b1, mxb1, 32);
+        vint16m4_t sum2 = __riscv_vwmul_vv_i16m4(q8b2, mxb2, 32);
+        __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m4_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+        __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m4_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+        sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 0].e) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1));
+        sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 1].e) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2));
+    }
+
+    *s = sumf;
+}
+
+static void ggml_vec_dot_mxfp4_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_MXFP4 == 0);
+    static_assert(QK_MXFP4 == QK8_0, "QK_MXFP4 and QK8_0 must be the same");
+
+    const block_mxfp4 * GGML_RESTRICT x = vx;
+    const block_q8_0  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_MXFP4;
+
+    int ib = 0;
+    float sumf = 0;
+
+    // Load the lookup table once.
+    const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_mxfp4, 16);
+    int acc1, acc2;
+
+    // We process 2 blocks at once.
+    for (; ib + 1 < nb; ib+=2) {
+        // Weights and activations.
+        vuint8mf2_t mx_packed1 = __riscv_vle8_v_u8mf2(x[ib + 0].qs, 16);
+        vint8mf2_t q8b_lo1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs, 16);
+        vint8mf2_t q8b_hi1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs + 16, 16);
+        vuint8mf2_t mx_packed2 = __riscv_vle8_v_u8mf2(x[ib + 1].qs, 16);
+        vint8mf2_t q8b_lo2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs, 16);
+        vint8mf2_t q8b_hi2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs + 16, 16);
+
+        // Unpack the weight blocks.
+        vuint8mf2_t mxbits_lo1 = __riscv_vand_vx_u8mf2(mx_packed1, 0xf, 16);
+        vuint8mf2_t mxbits_hi1 = __riscv_vsrl_vx_u8mf2(mx_packed1, 4, 16);
+        vuint8mf2_t mxbits_lo2 = __riscv_vand_vx_u8mf2(mx_packed2, 0xf, 16);
+        vuint8mf2_t mxbits_hi2 = __riscv_vsrl_vx_u8mf2(mx_packed2, 4, 16);
+
+        // Gather values from the lookup table.
+        vint8mf2_t mxb_lo1 = __riscv_vrgather_vv_i8mf2(values, mxbits_lo1, 16);
+        vint8mf2_t mxb_hi1 = __riscv_vrgather_vv_i8mf2(values, mxbits_hi1, 16);
+        vint8mf2_t mxb_lo2 = __riscv_vrgather_vv_i8mf2(values, mxbits_lo2, 16);
+        vint8mf2_t mxb_hi2 = __riscv_vrgather_vv_i8mf2(values, mxbits_hi2, 16);
+
+        // Accumulation.
+        vint16m1_t sum1 = __riscv_vwmul_vv_i16m1(q8b_lo1, mxb_lo1, 16);
+        sum1 = __riscv_vwmacc_vv_i16m1(sum1, q8b_hi1, mxb_hi1, 16);
+        vint16m1_t sum2 = __riscv_vwmul_vv_i16m1(q8b_lo2, mxb_lo2, 16);
+        sum2 = __riscv_vwmacc_vv_i16m1(sum2, q8b_hi2, mxb_hi2, 16);
+        __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m1_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 16), 1);
+        __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m1_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 16), 1);
+        sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 0].e) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1));
+        sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 1].e) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2));
+    }
+
+    *s = sumf;
+}
+
+void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+#if defined __riscv_v_intrinsic
+    switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_mxfp4_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+        default:
+            ggml_vec_dot_mxfp4_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc);
+            break;
+    }
+#else
+    return ggml_vec_dot_mxfp4_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
diff --git a/ggml/src/ggml-cpu/arch/riscv/repack.cpp b/ggml/src/ggml-cpu/arch/riscv/repack.cpp
index 2a35ff9ad87..cd5807879ea 100644
--- a/ggml/src/ggml-cpu/arch/riscv/repack.cpp
+++ b/ggml/src/ggml-cpu/arch/riscv/repack.cpp
@@ -24,6 +24,94 @@
 
 #define UNUSED GGML_UNUSED
 
+void ggml_quantize_mat_q8_0_4x8(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) {
+    assert(QK8_0 == 32);
+    assert(k % QK8_0 == 0);
+    const int nb = k / QK8_0;
+
+#if defined(__riscv_v_intrinsic)
+    block_q8_0x4 * GGML_RESTRICT y = (block_q8_0x4 *) vy;
+    const size_t vl_calc = __riscv_vsetvl_e32m8(QK8_0);
+    const size_t vl_save = __riscv_vsetvl_e64m2(4);
+    vfloat32m1_t v_scalar_zero = __riscv_vfmv_s_f_f32m1(0.0f, __riscv_vsetvl_e32m1(1));
+
+    for (int i = 0; i < nb; i++) {
+        const float *x_block_base = x + i * QK8_0;
+        vint8m2_t q_r0, q_r1, q_r2, q_r3;
+        {
+            vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 0 * k, vl_calc);
+            vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc);
+            vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc);
+            float amax = __riscv_vfmv_f_s_f32m1_f32(v_max);
+
+            float d = amax / 127.0f;
+            y[i].d[0] = GGML_CPU_FP32_TO_FP16(d);
+
+            float id = d ? 1.0f / d : 0.0f;
+            vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc);
+            vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc);
+            q_r0 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc);
+        }
+        asm volatile ("" ::: "memory");
+
+        {
+            vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 1 * k, vl_calc);
+            vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc);
+            vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc);
+            float amax = __riscv_vfmv_f_s_f32m1_f32(v_max);
+
+            float d = amax / 127.0f;
+            y[i].d[1] = GGML_CPU_FP32_TO_FP16(d);
+            float id = d ? 1.0f / d : 0.0f;
+
+            vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc);
+            vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc);
+            q_r1 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc);
+        }
+        asm volatile ("" ::: "memory");
+        {
+            vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 2 * k, vl_calc);
+            vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc);
+            vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc);
+            float amax = __riscv_vfmv_f_s_f32m1_f32(v_max);
+
+            float d = amax / 127.0f;
+            y[i].d[2] = GGML_CPU_FP32_TO_FP16(d);
+            float id = d ? 1.0f / d : 0.0f;
+
+            vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc);
+            vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc);
+            q_r2 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc);
+        }
+        asm volatile ("" ::: "memory");
+        {
+            vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 3 * k, vl_calc);
+            vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc);
+            vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc);
+            float amax = __riscv_vfmv_f_s_f32m1_f32(v_max);
+
+            float d = amax / 127.0f;
+            y[i].d[3] = GGML_CPU_FP32_TO_FP16(d);
+            float id = d ? 1.0f / d : 0.0f;
+
+            vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc);
+            vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc);
+            q_r3 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc);
+        }
+        vint64m2_t v_q64_r0 = __riscv_vreinterpret_v_i8m2_i64m2(q_r0);
+        vint64m2_t v_q64_r1 = __riscv_vreinterpret_v_i8m2_i64m2(q_r1);
+        vint64m2_t v_q64_r2 = __riscv_vreinterpret_v_i8m2_i64m2(q_r2);
+        vint64m2_t v_q64_r3 = __riscv_vreinterpret_v_i8m2_i64m2(q_r3);
+        vint64m2x4_t v_quant_tuple = __riscv_vcreate_v_i64m2x4(v_q64_r0, v_q64_r1, v_q64_r2, v_q64_r3);
+        __riscv_vsseg4e64_v_i64m2x4((int64_t*)y[i].qs, v_quant_tuple, vl_save);
+    }
+#else
+    UNUSED(nb);
+    UNUSED(y);
+    ggml_quantize_mat_q8_0_4x4_generic(x, vy, k);
+#endif
+}
+
 void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
@@ -115,6 +203,486 @@ void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
     ggml_gemv_q4_0_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemv_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb);
+
+        // 1x16 Accumulator
+        vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+        for (int l = 0; l < nb; l++) {
+            // 1x16 Integer Accumulator
+            vint16m1_t sumi_0_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+            vint16m1_t sumi_0_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+
+            // Accumulation loop.
+            for (int i = 0; i < QK4_0 / 2; i++) {
+                // Load `b_ptr`.
+                const vint8mf2_t b_0_packed = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16);
+                const vint8mf2_t b_0_lo = __riscv_vsra_vx_i8mf2(__riscv_vsll_vx_i8mf2(b_0_packed, 4, 16), 4, 16);
+                const vint8mf2_t b_0_hi = __riscv_vsra_vx_i8mf2(b_0_packed, 4, 16);
+
+                sumi_0_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_0_lo_16, a_ptr[l].qs[i], b_0_lo, 16);
+                sumi_0_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_0_hi_16, a_ptr[l].qs[16 + i], b_0_hi, 16);
+            }
+
+            const vint32m2_t sumi = __riscv_vwadd_vv_i32m2(sumi_0_lo_16, sumi_0_hi_16, 16);
+
+            const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16);
+            const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d, 16);
+
+            sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16);
+        }
+
+        __riscv_vse32_v_f32m2(s + x * 16, sumf, 16);
+    }
+    return;
+#endif
+    ggml_gemv_q4_0_16x1_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK_K;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    const block_q8_K * a_ptr = (const block_q8_K *) vy;
+
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb);
+
+        // 1x16 Accumulator
+        vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+        for (int l = 0; l < nb; l++) {
+            vint32m2_t sumi = __riscv_vmv_v_x_i32m2(0, 16);
+
+            // Load `dmin`.
+            const vfloat32m2_t dmins_d = __riscv_vfmul_vf_f32m2(
+                __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].dmin, 16), 16), a_ptr[l].d, 16);
+
+            // We process 4 sub-blocks at once.
+            for (int j = 0; j < QK_K / 128; j++) {
+                // Extract the scales and the mins.
+                //
+                // Low bits.
+                vuint8m2_t scales_mins_lo = __riscv_vle8_v_u8m2(&b_ptr[l].scales[j * 64], 64);
+                vuint8m2_t scales_lo = __riscv_vand_vx_u8m2(scales_mins_lo, 0x0F, 64);
+                vuint8m2_t mins_lo = __riscv_vsrl_vx_u8m2(scales_mins_lo, 4, 64);
+
+                // High bits.
+                vuint8m2_t scales_mins_hi = __riscv_vle8_v_u8m2(&b_ptr[l].scales[128], 64);
+                vuint8m2_t scales_hi;
+                vuint8m2_t mins_hi;
+                if (!j) {
+                    scales_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x03, 64), 4, 64);
+                    mins_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x0C, 64), 2, 64);
+                } else {
+                    scales_hi = __riscv_vand_vx_u8m2(scales_mins_hi, 0x30, 64);
+                    mins_hi = __riscv_vsrl_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0xC0, 64), 2, 64);
+                }
+                vuint16m4_t scales = __riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(scales_hi, scales_lo, 64), 64);
+                vint16m4_t mins = __riscv_vreinterpret_v_u16m4_i16m4(__riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(mins_hi, mins_lo, 64), 64));
+
+                // Reduce the mins and multiply with `dmin`.
+                //
+                // Correct in `sumf`.
+                vint32m2_t bsums = __riscv_vmv_v_x_i32m2(0, 16);
+                bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8] + a_ptr[l].bsums[j * 8 + 1], __riscv_vget_v_i16m4_i16m1(mins, 0), 16);
+                bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8 + 2] + a_ptr[l].bsums[j * 8 + 3], __riscv_vget_v_i16m4_i16m1(mins, 1), 16);
+                bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8 + 4] + a_ptr[l].bsums[j * 8 + 5], __riscv_vget_v_i16m4_i16m1(mins, 2), 16);
+                bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8 + 6] + a_ptr[l].bsums[j * 8 + 7], __riscv_vget_v_i16m4_i16m1(mins, 3), 16);
+
+                sumf = __riscv_vfsub_vv_f32m2(sumf, __riscv_vfmul_vv_f32m2(dmins_d, __riscv_vfcvt_f_x_v_f32m2(bsums, 16), 16), 16);
+
+                // Accumulation for 2 sub-blocks.
+                //
+                // This might overflow, so we accumulate in two steps.
+                //
+                // Recheck.
+                for (int k = 0; k < 2; k++) {
+                    vint16m1_t sumi_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                    vint16m1_t sumi_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+
+                    for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) {
+                        // Load `b_ptr`.
+                        const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + i * 16], 16);
+                        const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16));
+                        const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16));
+
+                        sumi_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_s_0_16, a_ptr[l].qs[j * 128 + i], b_s_0, 16);
+                        sumi_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_s_1_16, a_ptr[l].qs[j * 128 + 32 + i], b_s_1, 16);
+                    }
+
+                    sumi = __riscv_vwmacc_vv_i32m2(sumi,
+                        __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)),
+                        sumi_s_0_16, 16);
+                    sumi = __riscv_vwmacc_vv_i32m2(sumi,
+                        __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)),
+                        sumi_s_1_16, 16);
+                }
+                // Accumulation for 2 sub-blocks.
+                //
+                // This might overflow, so we accumulate in two steps.
+                //
+                // Recheck.
+                for (int k = 0; k < 2; k++) {
+                    vint16m1_t sumi_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                    vint16m1_t sumi_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+
+                    for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) {
+                        // Load `b_ptr`.
+                        const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + 512 + i * 16], 16);
+                        const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16));
+                        const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16));
+
+                        sumi_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_s_0_16, a_ptr[l].qs[j * 128 + 64 + i], b_s_0, 16);
+                        sumi_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_s_1_16, a_ptr[l].qs[j * 128 + 96 + i], b_s_1, 16);
+                    }
+
+                    sumi = __riscv_vwmacc_vv_i32m2(sumi,
+                        __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)),
+                        sumi_s_0_16, 16);
+                    sumi = __riscv_vwmacc_vv_i32m2(sumi,
+                        __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)),
+                        sumi_s_1_16, 16);
+                }
+            }
+
+            const vfloat32m2_t b_d = __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)&b_ptr[l].d[0], 16), 16);
+            const vfloat32m2_t d_0 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d, 16);
+
+            sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16);
+        }
+
+        __riscv_vse32_v_f32m2(s + x * 16, sumf, 16);
+    }
+    return;
+#endif
+    ggml_gemv_q4_K_16x1_q8_K_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_iq4nl, 16);
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb);
+
+        // 1x16 Accumulator1
+        vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+        for (int l = 0; l < nb; l++) {
+            // 1x16 integer accumulator
+            vint32m2_t sumi = __riscv_vmv_v_x_i32m2(0.0f, 16);
+
+            // Accumulation loop.
+            for (int i = 0; i < QK4_NL / 2; i++) {
+                // Load `b_ptr`.
+                const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2((const uint8_t *)&b_ptr[l].qs[i * 16], 16);
+                const vint8mf2_t b_0_lo = __riscv_vrgather_vv_i8mf2(values, __riscv_vand_vx_u8mf2(b_0_packed, 0xf, 16), 16);
+                const vint8mf2_t b_0_hi = __riscv_vrgather_vv_i8mf2(values, __riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16), 16);
+                // const vint16m1_t b_0_lo_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_lo, 16);
+                // const vint16m1_t b_0_hi_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_hi, 16);
+
+                const vint16m1_t sumi_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i], 16);
+                const vint16m1_t sumi_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[16 + i], 16);
+                sumi = __riscv_vadd_vv_i32m2(sumi, __riscv_vwadd_vv_i32m2(sumi_lo, sumi_hi, 16), 16);
+            }
+
+            const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16);
+            const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d, 16);
+
+            sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16);
+        }
+
+        __riscv_vse32_v_f32m2(s + x * 16, sumf, 16);
+    }
+    return;
+#endif
+    ggml_gemv_iq4_nl_16x1_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+    UNUSED(bs);
+
+#if defined __riscv_v_intrinsic
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb);
+
+        // 1x16 Accumulator
+        vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+        for (int l = 0; l < nb; l++) {
+            // 1x16 Integer Accumulator
+            vint32m2_t sumi = __riscv_vmv_v_x_i32m2(0.0f, 16);
+
+            // Accumulation loop.
+            for (int i = 0; i < QK8_0; i++) {
+                // Load `b_ptr`.
+                const vint8mf2_t b_0 = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16);
+                // const vint16m1_t b_0_16 = __riscv_vwcvt_x_x_v_i16m1(b_0, 16);
+
+                sumi = __riscv_vwadd_wv_i32m2(sumi, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i], 16), 16);
+            }
+
+            const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16);
+            const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d, 16);
+
+            sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16);
+        }
+
+        __riscv_vse32_v_f32m2(s + x * 16, sumf, 16);
+    }
+    return;
+#endif
+    ggml_gemv_q8_0_16x1_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    assert(n % QK_K == 0);
+    assert(nr == 1);
+    assert(nc % 16 == 0);
+
+    UNUSED(bs);
+
+    const int N_COLS_TILE = 16;
+    const int num_k_blocks = n / QK_K;
+
+    const size_t vl = __riscv_vsetvl_e32m2(N_COLS_TILE);
+    for (int col_tile = 0; col_tile < nc; col_tile += N_COLS_TILE) {
+
+        const block_q8_K* lhs_base_ptr = (const block_q8_K*)vy;
+        const block_q2_Kx16* rhs_base_ptr = (const block_q2_Kx16*)vx + (col_tile / N_COLS_TILE) * num_k_blocks;
+
+        vfloat32m2_t v_sumf = __riscv_vfmv_v_f_f32m2(0.0f, vl);
+
+        for (int k_block = 0; k_block < num_k_blocks; ++k_block) {
+            const block_q8_K* lhs_current = &lhs_base_ptr[k_block];
+            const block_q2_Kx16* rhs_current = &rhs_base_ptr[k_block];
+
+            // 1. Prepare Global Min Scales
+            vfloat16m1_t v_g_min_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->dmin, vl);
+            vfloat32m2_t v_g_min_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_min_f16, vl);
+
+            vfloat32m2_t v_g_min_final = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d, vl);
+
+            vint32m2_t v_isum = __riscv_vmv_v_x_i32m2(0, vl);
+
+            const uint8_t* rhs_qs_ptr = rhs_current->qs;
+            const uint8_t* rhs_sc_ptr = rhs_current->scales;
+            const int8_t*  lhs_qs_ptr = lhs_current->qs;
+
+            // --- Phase Loop (4 phases x 64 elements) ---
+            for (int phase = 0; phase < 4; ++phase) {
+
+                // A. Load Scales/Mins
+                vuint16m1_t v_d_sb_0, v_d_sb_1, v_d_sb_2, v_d_sb_3;
+                vuint16m1_t v_m_sb_0, v_m_sb_1, v_m_sb_2, v_m_sb_3;
+
+                {
+                    vuint8mf2_t v_raw;
+                    // Sub-block 0
+                    v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 0, vl);
+                    v_d_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                    v_m_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                    // Sub-block 1
+                    v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 16, vl);
+                    v_d_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                    v_m_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                    // Sub-block 2
+                    v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 32, vl);
+                    v_d_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                    v_m_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                    // Sub-block 3
+                    v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 48, vl);
+                    v_d_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                    v_m_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                    rhs_sc_ptr += 64;
+                }
+
+                int base_k_phase = (phase < 2) ? (phase * 16) : (128 + (phase-2)*16);
+                int k_offsets[4] = {0, 32, 64, 96};
+
+                // B. Inner Dot Product Loop
+                for (int l = 0; l < 16; ++l) {
+                    vuint8mf2_t v_rhs_data = __riscv_vle8_v_u8mf2(rhs_qs_ptr, vl);
+                    rhs_qs_ptr += 16;
+
+                    // Sub-block 0
+                    {
+                        vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(v_rhs_data, 3, vl);
+                        vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                            __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                            __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_0), vl);
+
+                        int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[0] + l];
+                        v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl);
+                    }
+                    // Sub-block 1
+                    {
+                        vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 2, vl), 3, vl);
+                        vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                            __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                            __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_1), vl);
+
+                        int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[1] + l];
+                        v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl);
+                    }
+                    // Sub-block 2
+                    {
+                        vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 4, vl), 3, vl);
+                        vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                            __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                            __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_2), vl);
+
+                        int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[2] + l];
+                        v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl);
+                    }
+                    // Sub-block 3
+                    {
+                        vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 6, vl), 3, vl);
+                        vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                            __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                            __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_3), vl);
+
+                        int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[3] + l];
+                        v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl);
+                    }
+                }
+
+                // correction
+                int sb_base_abs = base_k_phase / 16;
+
+                // Sub-block 0
+                {
+                    int sb_idx = sb_base_abs + (k_offsets[0] / 16);
+                    int16_t bsum = lhs_current->bsums[sb_idx];
+                    vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_0);
+                    vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl);
+                    vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl);
+                    v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl);
+                }
+                // Sub-block 1
+                {
+                    int sb_idx = sb_base_abs + (k_offsets[1] / 16);
+                    int16_t bsum = lhs_current->bsums[sb_idx];
+                    vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_1);
+                    vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl);
+                    vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl);
+                    v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl);
+                }
+                // Sub-block 2
+                {
+                    int sb_idx = sb_base_abs + (k_offsets[2] / 16);
+                    int16_t bsum = lhs_current->bsums[sb_idx];
+                    vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_2);
+                    vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl);
+                    vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl);
+                    v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl);
+                }
+                // Sub-block 3
+                {
+                    int sb_idx = sb_base_abs + (k_offsets[3] / 16);
+                    int16_t bsum = lhs_current->bsums[sb_idx];
+                    vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_3);
+                    vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl);
+                    vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl);
+                    v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl);
+                }
+
+            } // End Phase Loop
+
+            // Apply global Scales
+            vfloat16m1_t v_g_all_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->d, vl);
+            vfloat32m2_t v_g_all_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_all_f16, vl);
+
+            vfloat32m2_t v_g_all_final = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d, vl);
+            vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum, vl);
+            v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all_final, vl);
+            v_sumf = __riscv_vfadd_vv_f32m2(v_sumf, v_sum, vl);
+
+        } // End K-Block
+        __riscv_vse32_v_f32m2(s + col_tile, v_sumf, vl);
+
+    }
+}
+
 void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
@@ -340,3 +908,826 @@ void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
 #endif
     ggml_gemm_q4_0_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc);
 }
+
+void ggml_gemm_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb);
+
+            // 4x16 Accumulators
+            vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+            for (int l = 0; l < nb; l++) {
+                // 4x16 integer accumulators
+                vint16m1_t sumi_0_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_1_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_2_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_3_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_0_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_1_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_2_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                vint16m1_t sumi_3_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+
+                // Accumulation loop.
+                for (int i = 0; i < QK4_0 / 2; i++) {
+                    // Load `b_ptr`.
+                    const vint8mf2_t b_0_packed = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16);
+                    const vint8mf2_t b_0_lo = __riscv_vsra_vx_i8mf2(__riscv_vsll_vx_i8mf2(b_0_packed, 4, 16), 4, 16);
+                    const vint8mf2_t b_0_hi = __riscv_vsra_vx_i8mf2(b_0_packed, 4, 16);
+
+                    sumi_0_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_0_lo_16, a_ptr[l].qs[i * 4], b_0_lo, 16);
+                    sumi_1_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_1_lo_16, a_ptr[l].qs[i * 4 + 1], b_0_lo, 16);
+                    sumi_2_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_2_lo_16, a_ptr[l].qs[i * 4 + 2], b_0_lo, 16);
+                    sumi_3_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_3_lo_16, a_ptr[l].qs[i * 4 + 3], b_0_lo, 16);
+
+                    sumi_0_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_0_hi_16, a_ptr[l].qs[64 + i * 4], b_0_hi, 16);
+                    sumi_1_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_1_hi_16, a_ptr[l].qs[64 + i * 4 + 1], b_0_hi, 16);
+                    sumi_2_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_2_hi_16, a_ptr[l].qs[64 + i * 4 + 2], b_0_hi, 16);
+                    sumi_3_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_3_hi_16, a_ptr[l].qs[64 + i * 4 + 3], b_0_hi, 16);
+                }
+
+                // Do the final accumulation in i32 to prevent overflow.
+                const vint32m2_t sumi_0 = __riscv_vwadd_vv_i32m2(sumi_0_lo_16, sumi_0_hi_16, 16);
+                const vint32m2_t sumi_1 = __riscv_vwadd_vv_i32m2(sumi_1_lo_16, sumi_1_hi_16, 16);
+                const vint32m2_t sumi_2 = __riscv_vwadd_vv_i32m2(sumi_2_lo_16, sumi_2_hi_16, 16);
+                const vint32m2_t sumi_3 = __riscv_vwadd_vv_i32m2(sumi_3_lo_16, sumi_3_hi_16, 16);
+
+                const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16);
+                const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[0], 16);
+                const vfloat32m2_t d_1 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[1], 16);
+                const vfloat32m2_t d_2 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[2], 16);
+                const vfloat32m2_t d_3 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[3], 16);
+
+                sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16);
+                sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16);
+                sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16);
+                sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16);
+            }
+
+            __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16);
+        }
+    }
+    return;
+#endif
+    ggml_gemm_q4_0_16x1_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemm_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK_K;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_Kx4 * a_ptr = (const block_q8_Kx4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb);
+
+            // 4x16 Accumulators
+            vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+            for (int l = 0; l < nb; l++) {
+                vint32m2_t sumi_0 = __riscv_vmv_v_x_i32m2(0, 16);
+                vint32m2_t sumi_1 = __riscv_vmv_v_x_i32m2(0, 16);
+                vint32m2_t sumi_2 = __riscv_vmv_v_x_i32m2(0, 16);
+                vint32m2_t sumi_3 = __riscv_vmv_v_x_i32m2(0, 16);
+
+                // Load `dmin`.
+                const vfloat32m2_t dmins = __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].dmin, 16), 16);
+
+                // We process 4 sub-blocks at once.
+                for (int j = 0; j < QK_K / 128; j++) {
+                    // Extract the scales and the mins.
+                    //
+                    // Low bits.
+                    vuint8m2_t scales_mins_lo = __riscv_vle8_v_u8m2(&b_ptr[l].scales[j * 64], 64);
+                    vuint8m2_t scales_lo = __riscv_vand_vx_u8m2(scales_mins_lo, 0x0F, 64);
+                    vuint8m2_t mins_lo = __riscv_vsrl_vx_u8m2(scales_mins_lo, 4, 64);
+
+                    // High bits.
+                    vuint8m2_t scales_mins_hi = __riscv_vle8_v_u8m2(&b_ptr[l].scales[128], 64);
+                    vuint8m2_t scales_hi;
+                    vuint8m2_t mins_hi;
+                    if (!j) {
+                        scales_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x03, 64), 4, 64);
+                        mins_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x0C, 64), 2, 64);
+                    } else {
+                        scales_hi = __riscv_vand_vx_u8m2(scales_mins_hi, 0x30, 64);
+                        mins_hi = __riscv_vsrl_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0xC0, 64), 2, 64);
+                    }
+                    vuint16m4_t scales = __riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(scales_hi, scales_lo, 64), 64);
+                    vint16m4_t mins = __riscv_vreinterpret_v_u16m4_i16m4(__riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(mins_hi, mins_lo, 64), 64));
+
+                    // Reduce the mins and multiply with `dmin`.
+                    //
+                    // Correct in `sumf`.
+                    vint32m2_t bsums_0 = __riscv_vmv_v_x_i32m2(0, 16);
+                    vint32m2_t bsums_1 = __riscv_vmv_v_x_i32m2(0, 16);
+                    vint32m2_t bsums_2 = __riscv_vmv_v_x_i32m2(0, 16);
+                    vint32m2_t bsums_3 = __riscv_vmv_v_x_i32m2(0, 16);
+
+                    bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0,
+                                a_ptr[l].bsums[j * 32] + a_ptr[l].bsums[j * 32 + 4],
+                                __riscv_vget_v_i16m4_i16m1(mins, 0), 16);
+                    bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1,
+                                a_ptr[l].bsums[j * 32 + 1] + a_ptr[l].bsums[j * 32 + 5],
+                                __riscv_vget_v_i16m4_i16m1(mins, 0), 16);
+                    bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2,
+                                a_ptr[l].bsums[j * 32 + 2] + a_ptr[l].bsums[j * 32 + 6],
+                                __riscv_vget_v_i16m4_i16m1(mins, 0), 16);
+                    bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3,
+                                a_ptr[l].bsums[j * 32 + 3] + a_ptr[l].bsums[j * 32 + 7],
+                                __riscv_vget_v_i16m4_i16m1(mins, 0), 16);
+                    bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0,
+                                a_ptr[l].bsums[j * 32 + 8] + a_ptr[l].bsums[j * 32 + 8 + 4],
+                                __riscv_vget_v_i16m4_i16m1(mins, 1), 16);
+                    bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1,
+                                a_ptr[l].bsums[j * 32 + 8 + 1] + a_ptr[l].bsums[j * 32 + 8 + 5],
+                                __riscv_vget_v_i16m4_i16m1(mins, 1), 16);
+                    bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2,
+                                a_ptr[l].bsums[j * 32 + 8 + 2] + a_ptr[l].bsums[j * 32 + 8 + 6],
+                                __riscv_vget_v_i16m4_i16m1(mins, 1), 16);
+                    bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3,
+                                a_ptr[l].bsums[j * 32 + 8 + 3] + a_ptr[l].bsums[j * 32 + 8 + 7],
+                                __riscv_vget_v_i16m4_i16m1(mins, 1), 16);
+                    bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0,
+                                a_ptr[l].bsums[j * 32 + 16] + a_ptr[l].bsums[j * 32 + 16 + 4],
+                                __riscv_vget_v_i16m4_i16m1(mins, 2), 16);
+                    bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1,
+                                a_ptr[l].bsums[j * 32 + 16 + 1] + a_ptr[l].bsums[j * 32 + 16 + 5],
+                                __riscv_vget_v_i16m4_i16m1(mins, 2), 16);
+                    bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2,
+                                a_ptr[l].bsums[j * 32 + 16 + 2] + a_ptr[l].bsums[j * 32 + 16 + 6],
+                                __riscv_vget_v_i16m4_i16m1(mins, 2), 16);
+                    bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3,
+                                a_ptr[l].bsums[j * 32 + 16 + 3] + a_ptr[l].bsums[j * 32 + 16 + 7],
+                                __riscv_vget_v_i16m4_i16m1(mins, 2), 16);
+                    bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0,
+                                a_ptr[l].bsums[j * 32 + 24 + 0] + a_ptr[l].bsums[j * 32 + 24 + 4],
+                                __riscv_vget_v_i16m4_i16m1(mins, 3), 16);
+                    bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1,
+                                a_ptr[l].bsums[j * 32 + 24 + 1] + a_ptr[l].bsums[j * 32 + 24 + 5],
+                                __riscv_vget_v_i16m4_i16m1(mins, 3), 16);
+                    bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2,
+                                a_ptr[l].bsums[j * 32 + 24 + 2] + a_ptr[l].bsums[j * 32 + 24 + 6],
+                                __riscv_vget_v_i16m4_i16m1(mins, 3), 16);
+                    bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3,
+                                a_ptr[l].bsums[j * 32 + 24 + 3] + a_ptr[l].bsums[j * 32 + 24 + 7],
+                                __riscv_vget_v_i16m4_i16m1(mins, 3), 16);
+
+                    const vfloat32m2_t dmins_d_0 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[0], 16);
+                    const vfloat32m2_t dmins_d_1 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[1], 16);
+                    const vfloat32m2_t dmins_d_2 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[2], 16);
+                    const vfloat32m2_t dmins_d_3 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[3], 16);
+
+                    sumf_0 = __riscv_vfsub_vv_f32m2(sumf_0, __riscv_vfmul_vv_f32m2(dmins_d_0, __riscv_vfcvt_f_x_v_f32m2(bsums_0, 16), 16), 16);
+                    sumf_1 = __riscv_vfsub_vv_f32m2(sumf_1, __riscv_vfmul_vv_f32m2(dmins_d_1, __riscv_vfcvt_f_x_v_f32m2(bsums_1, 16), 16), 16);
+                    sumf_2 = __riscv_vfsub_vv_f32m2(sumf_2, __riscv_vfmul_vv_f32m2(dmins_d_2, __riscv_vfcvt_f_x_v_f32m2(bsums_2, 16), 16), 16);
+                    sumf_3 = __riscv_vfsub_vv_f32m2(sumf_3, __riscv_vfmul_vv_f32m2(dmins_d_3, __riscv_vfcvt_f_x_v_f32m2(bsums_3, 16), 16), 16);
+
+
+                    // Accumulation for 2 sub-blocks.
+                    //
+                    // This might overflow, so we accumulate in two steps.
+                    //
+                    // Recheck.
+                    for (int k = 0; k < 2; k++) {
+                        // 4x16 integer accumulators
+                        vint16m1_t sumi_0_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_1_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_2_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_3_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_0_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_1_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_2_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_3_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+
+                        for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) {
+                            // Load `b_ptr`.
+                            const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + i * 16], 16);
+                            const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16));
+                            const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16));
+
+                            sumi_0_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_0_16, a_ptr[l].qs[j * 512 + i * 4], b_s_0, 16);
+                            sumi_1_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_0_16, a_ptr[l].qs[j * 512 + i * 4 + 1], b_s_0, 16);
+                            sumi_2_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_0_16, a_ptr[l].qs[j * 512 + i * 4 + 2], b_s_0, 16);
+                            sumi_3_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_0_16, a_ptr[l].qs[j * 512 + i * 4 + 3], b_s_0, 16);
+
+                            sumi_0_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4], b_s_1, 16);
+                            sumi_1_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4 + 1], b_s_1, 16);
+                            sumi_2_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4 + 2], b_s_1, 16);
+                            sumi_3_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4 + 3], b_s_1, 16);
+                        }
+
+                        sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)),
+                                    sumi_0_s_0_16, 16);
+                        sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)),
+                                    sumi_0_s_1_16, 16);
+                        sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)),
+                                    sumi_1_s_0_16, 16);
+                        sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)),
+                                    sumi_1_s_1_16, 16);
+                        sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)),
+                                    sumi_2_s_0_16, 16);
+                        sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)),
+                                    sumi_2_s_1_16, 16);
+                        sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)),
+                                    sumi_3_s_0_16, 16);
+                        sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)),
+                                    sumi_3_s_1_16, 16);
+                    }
+                    // Accumulation for 2 sub-blocks.
+                    //
+                    // This might overflow, so we accumulate in two steps.
+                    //
+                    // Recheck.
+                    for (int k = 0; k < 2; k++) {
+                        // 4x16 integer accumulators
+                        vint16m1_t sumi_0_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_1_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_2_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_3_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_0_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_1_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_2_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+                        vint16m1_t sumi_3_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16);
+
+                        for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) {
+                            // Load `b_ptr`.
+                            const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + 512 + i * 16], 16);
+                            const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16));
+                            const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16));
+
+                            sumi_0_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4], b_s_0, 16);
+                            sumi_1_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4 + 1], b_s_0, 16);
+                            sumi_2_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4 + 2], b_s_0, 16);
+                            sumi_3_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4 + 3], b_s_0, 16);
+
+                            sumi_0_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4], b_s_1, 16);
+                            sumi_1_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4 + 1], b_s_1, 16);
+                            sumi_2_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4 + 2], b_s_1, 16);
+                            sumi_3_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4 + 3], b_s_1, 16);
+                        }
+
+                        sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)),
+                                    sumi_0_s_0_16, 16);
+                        sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)),
+                                    sumi_0_s_1_16, 16);
+                        sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)),
+                                    sumi_1_s_0_16, 16);
+                        sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)),
+                                    sumi_1_s_1_16, 16);
+                        sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)),
+                                    sumi_2_s_0_16, 16);
+                        sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)),
+                                    sumi_2_s_1_16, 16);
+                        sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)),
+                                    sumi_3_s_0_16, 16);
+                        sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3,
+                                    __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)),
+                                    sumi_3_s_1_16, 16);
+                    }
+                }
+
+                const vfloat32m2_t b_d = __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16), 16);
+                const vfloat32m2_t d_0 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[0], 16);
+                const vfloat32m2_t d_1 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[1], 16);
+                const vfloat32m2_t d_2 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[2], 16);
+                const vfloat32m2_t d_3 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[3], 16);
+
+                sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16);
+                sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16);
+                sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16);
+                sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16);
+            }
+
+            __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16);
+        }
+    }
+    return;
+#endif
+    ggml_gemm_q4_K_16x1_q8_K_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemm_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_iq4nl, 16);
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb);
+
+            // 4x16 Accumulators
+            vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+            for (int l = 0; l < nb; l++) {
+                // 4x16 integer accumulators
+                vint32m2_t sumi_0 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+                vint32m2_t sumi_1 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+                vint32m2_t sumi_2 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+                vint32m2_t sumi_3 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+
+                // Accumulation loop.
+                for (int i = 0; i < QK4_NL / 2; i++) {
+                    // Load `b_ptr`.
+                    const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2((const uint8_t *)&b_ptr[l].qs[i * 16], 16);
+                    const vint8mf2_t b_0_lo = __riscv_vrgather_vv_i8mf2(values, __riscv_vand_vx_u8mf2(b_0_packed, 0xf, 16), 16);
+                    const vint8mf2_t b_0_hi = __riscv_vrgather_vv_i8mf2(values, __riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16), 16);
+                    // const vint16m1_t b_0_lo_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_lo, 16);
+                    // const vint16m1_t b_0_hi_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_hi, 16);
+
+                    const vint16m1_t sumi_0_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4], 16);
+                    const vint16m1_t sumi_1_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4 + 1], 16);
+                    const vint16m1_t sumi_2_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4 + 2], 16);
+                    const vint16m1_t sumi_3_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4 + 3], 16);
+
+                    const vint16m1_t sumi_0_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4], 16);
+                    const vint16m1_t sumi_1_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4 + 1], 16);
+                    const vint16m1_t sumi_2_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4 + 2], 16);
+                    const vint16m1_t sumi_3_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4 + 3], 16);
+
+                    sumi_0 = __riscv_vadd_vv_i32m2(sumi_0, __riscv_vwadd_vv_i32m2(sumi_0_lo, sumi_0_hi, 16), 16);
+                    sumi_1 = __riscv_vadd_vv_i32m2(sumi_1, __riscv_vwadd_vv_i32m2(sumi_1_lo, sumi_1_hi, 16), 16);
+                    sumi_2 = __riscv_vadd_vv_i32m2(sumi_2, __riscv_vwadd_vv_i32m2(sumi_2_lo, sumi_2_hi, 16), 16);
+                    sumi_3 = __riscv_vadd_vv_i32m2(sumi_3, __riscv_vwadd_vv_i32m2(sumi_3_lo, sumi_3_hi, 16), 16);
+                }
+
+                const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16);
+                const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[0], 16);
+                const vfloat32m2_t d_1 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[1], 16);
+                const vfloat32m2_t d_2 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[2], 16);
+                const vfloat32m2_t d_3 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[3], 16);
+
+                sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16);
+                sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16);
+                sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16);
+                sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16);
+            }
+
+            __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16);
+        }
+    }
+    return;
+#endif
+    ggml_gemm_iq4_nl_16x1_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemm_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+#if defined __riscv_v_intrinsic
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb);
+
+            // 4x16 Accumulators
+            vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+            vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16);
+
+            for (int l = 0; l < nb; l++) {
+                // 4x16 Integer Accumulators
+                vint32m2_t sumi_0 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+                vint32m2_t sumi_1 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+                vint32m2_t sumi_2 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+                vint32m2_t sumi_3 = __riscv_vmv_v_x_i32m2(0.0f, 16);
+
+                // Accumulation loop.
+                for (int i = 0; i < QK8_0; i++) {
+                    // Load `b_ptr`.
+                    const vint8mf2_t b_0 = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16);
+                    // const vint16m1_t b_0_16 = __riscv_vwcvt_x_x_v_i16m1(b_0, 16);
+
+                    sumi_0 = __riscv_vwadd_wv_i32m2(sumi_0, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 0], 16), 16);
+                    sumi_1 = __riscv_vwadd_wv_i32m2(sumi_1, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 1], 16), 16);
+                    sumi_2 = __riscv_vwadd_wv_i32m2(sumi_2, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 2], 16), 16);
+                    sumi_3 = __riscv_vwadd_wv_i32m2(sumi_3, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 3], 16), 16);
+                }
+
+                const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16);
+                const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[0], 16);
+                const vfloat32m2_t d_1 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[1], 16);
+                const vfloat32m2_t d_2 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[2], 16);
+                const vfloat32m2_t d_3 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[3], 16);
+
+                sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16);
+                sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16);
+                sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16);
+                sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16);
+            }
+
+            __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16);
+            __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16);
+        }
+    }
+    return;
+#endif
+    ggml_gemm_q8_0_16x1_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemm_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    assert(n % QK_K == 0);
+    const int num_k_blocks = n / QK_K;
+    const int N_ROWS_TILE = 4;
+    const int N_COLS_TILE = 16;
+    assert(nr % N_ROWS_TILE == 0);
+    assert(nc % N_COLS_TILE == 0);
+
+    const size_t vl = __riscv_vsetvl_e32m2(N_COLS_TILE);
+    // --- Tiling Loops ---
+#pragma GCC unroll 1
+    for (int row_tile = 0; row_tile < nr; row_tile += N_ROWS_TILE) {
+#pragma GCC unroll 1
+        for (int col_tile = 0; col_tile < nc; col_tile += N_COLS_TILE) {
+            // Base Pointers
+            const block_q8_Kx4* lhs_base_ptr = (const block_q8_Kx4*)vy + (row_tile / N_ROWS_TILE) * num_k_blocks;
+            const block_q2_Kx16* rhs_base_ptr = (const block_q2_Kx16*)vx + (col_tile / N_COLS_TILE) * num_k_blocks;
+
+            // Persistent Float Accumulators
+            vfloat32m2_t v_sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, vl);
+            vfloat32m2_t v_sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, vl);
+            vfloat32m2_t v_sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, vl);
+            vfloat32m2_t v_sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, vl);
+
+            // --- Super-Block Loop (K=0..255) ---
+#pragma GCC unroll 1
+            for (int k_block = 0; k_block < num_k_blocks; ++k_block) {
+                const block_q8_Kx4* lhs_current = &lhs_base_ptr[k_block];
+                const block_q2_Kx16* rhs_current = &rhs_base_ptr[k_block];
+
+                // 1. Load Global Min Scales (Keep as F16/LMUL=1 to save registers)
+                vfloat16m1_t v_g_min_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->dmin, vl);
+                vfloat32m2_t v_g_min_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_min_f16, vl);
+
+                // 2. Initialize Integer Accumulators
+                vint32m2_t v_isum_0 = __riscv_vmv_v_x_i32m2(0, vl);
+                vint32m2_t v_isum_1 = __riscv_vmv_v_x_i32m2(0, vl);
+                vint32m2_t v_isum_2 = __riscv_vmv_v_x_i32m2(0, vl);
+                vint32m2_t v_isum_3 = __riscv_vmv_v_x_i32m2(0, vl);
+
+                const uint8_t* rhs_qs_ptr = rhs_current->qs;
+                const uint8_t* rhs_sc_ptr = rhs_current->scales;
+                const int8_t*  lhs_qs_ptr = lhs_current->qs;
+
+                // --- Phase Loop (4 phases x 64 elements) ---
+#pragma GCC unroll 1
+                for (int phase = 0; phase < 4; ++phase) {
+
+                    // A. Load Scales/Mins for the 4 interleaved sub-blocks
+                    vuint16m1_t v_d_sb_0, v_d_sb_1, v_d_sb_2, v_d_sb_3;
+                    vuint16m1_t v_m_sb_0, v_m_sb_1, v_m_sb_2, v_m_sb_3;
+
+                    // Unrolled Load Logic
+                    {
+                        vuint8mf2_t v_raw;
+                        // Sub-block 0
+                        v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 0, vl);
+                        v_d_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                        v_m_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                        // Sub-block 1
+                        v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 16, vl);
+                        v_d_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                        v_m_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                        // Sub-block 2
+                        v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 32, vl);
+                        v_d_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                        v_m_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                        // Sub-block 3
+                        v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 48, vl);
+                        v_d_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl);
+                        v_m_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl);
+
+                        rhs_sc_ptr += 64;
+                    }
+
+                    int base_k_phase = (phase < 2) ? (phase * 16) : (128 + (phase-2)*16);
+                    int k_offsets[4] = {0, 32, 64, 96};
+
+                    // B. Inner Dot Product Loop
+#pragma GCC unroll 1
+                    for (int l = 0; l < 16; ++l) {
+                        vuint8mf2_t v_rhs_data = __riscv_vle8_v_u8mf2(rhs_qs_ptr, vl);
+                        rhs_qs_ptr += 16;
+
+                        // Unroll over 4 sub-blocks (0, 1, 2, 3 relative to phase)
+
+                        // --- Sub-block 0 ---
+                        {
+                            vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(v_rhs_data, 3, vl);
+                            vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                                __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                                __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_0), vl);
+
+                            const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[0] + l) * 4];
+                            v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl);
+                            v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl);
+                            v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl);
+                            v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl);
+                        }
+                        // --- Sub-block 1 ---
+                        {
+                            vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 2, vl), 3, vl);
+                            vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                                __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                                __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_1), vl);
+
+                            const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[1] + l) * 4];
+                            v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl);
+                            v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl);
+                            v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl);
+                            v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl);
+                        }
+                        // --- Sub-block 2 ---
+                        {
+                            vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 4, vl), 3, vl);
+                            vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                                __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                                __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_2), vl);
+
+                            const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[2] + l) * 4];
+                            v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl);
+                            v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl);
+                            v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl);
+                            v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl);
+                        }
+                        // --- Sub-block 3 ---
+                        {
+                            vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 6, vl), 3, vl);
+                            vint16m1_t v_w = __riscv_vmul_vv_i16m1(
+                                __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)),
+                                __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_3), vl);
+
+                            const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[3] + l) * 4];
+                            v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl);
+                            v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl);
+                            v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl);
+                            v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl);
+                        }
+                    }
+
+                    // C CORRECTION
+                    int sb_base_abs = base_k_phase / 16;
+
+                    // --- Correction Sub-block 0 ---
+                    {
+                        int sb_abs = sb_base_abs + (k_offsets[0] / 16);
+                        vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_0);
+
+                        // Row 0
+                        vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl);
+                        vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl);
+                        vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl);
+
+                        // Row 1
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl);
+
+                        // Row 2
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl);
+
+                        // Row 3
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl);
+                    }
+
+                    // --- Correction Sub-block 1 ---
+                    {
+                        int sb_abs = sb_base_abs + (k_offsets[1] / 16);
+                        vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_1);
+
+                        vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl);
+                        vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl);
+                        vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl);
+                    }
+
+                    // --- Correction Sub-block 2 ---
+                    {
+                        int sb_abs = sb_base_abs + (k_offsets[2] / 16);
+                        vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_2);
+
+                        vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl);
+                        vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl);
+                        vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl);
+                    }
+
+                    // --- Correction Sub-block 3 ---
+                    {
+                        int sb_abs = sb_base_abs + (k_offsets[3] / 16);
+                        vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_3);
+
+                        vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl);
+                        vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl);
+                        vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl);
+
+                        v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl);
+                        v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl);
+                        vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl);
+                        v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl);
+                    }
+
+                } // End Phase Loop
+
+                // --- Apply Main Scales ---
+                vfloat16m1_t v_g_all_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->d, vl);
+                vfloat32m2_t v_g_all_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_all_f16, vl);
+
+                {
+                    vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[0], vl);
+                    vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_0, vl);
+                    v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl);
+                    v_sumf_0 = __riscv_vfadd_vv_f32m2(v_sumf_0, v_sum, vl);
+                }
+                // Row 1
+                {
+                    vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[1], vl);
+                    vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_1, vl);
+                    v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl);
+                    v_sumf_1 = __riscv_vfadd_vv_f32m2(v_sumf_1, v_sum, vl);
+                }
+                // Row 2
+                {
+                    vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[2], vl);
+                    vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_2, vl);
+                    v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl);
+                    v_sumf_2 = __riscv_vfadd_vv_f32m2(v_sumf_2, v_sum, vl);
+                }
+                // Row 3
+                {
+                    vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[3], vl);
+                    vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_3, vl);
+                    v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl);
+                    v_sumf_3 = __riscv_vfadd_vv_f32m2(v_sumf_3, v_sum, vl);
+                }
+
+            } // End K-Block
+
+            __riscv_vse32_v_f32m2(s + (row_tile + 0) * bs + col_tile, v_sumf_0, vl);
+            __riscv_vse32_v_f32m2(s + (row_tile + 1) * bs + col_tile, v_sumf_1, vl);
+            __riscv_vse32_v_f32m2(s + (row_tile + 2) * bs + col_tile, v_sumf_2, vl);
+            __riscv_vse32_v_f32m2(s + (row_tile + 3) * bs + col_tile, v_sumf_3, vl);
+        }
+    }
+}
diff --git a/ggml/src/ggml-cpu/arch/s390/quants.c b/ggml/src/ggml-cpu/arch/s390/quants.c
index 19d225a4837..34184ed8510 100644
--- a/ggml/src/ggml-cpu/arch/s390/quants.c
+++ b/ggml/src/ggml-cpu/arch/s390/quants.c
@@ -181,11 +181,11 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const voi
         const int8x16_t v_yh = vec_xl(QK8_0/2, y[ib].qs);
 
         const int16x8_t v_xylso = vec_mulo(v_xls, v_yl);
-        const int16x8_t v_xylse = vec_mule(v_xls, v_yl);
+        const int16x8_t v_xyl = vec_meadd(v_xls, v_yl, v_xylso);
         const int16x8_t v_xyhso = vec_mulo(v_xhs, v_yh);
-        const int16x8_t v_xyhse = vec_mule(v_xhs, v_yh);
+        const int16x8_t v_xyh = vec_meadd(v_xhs, v_yh, v_xyhso);
 
-        int16x8_t v_xy_ = v_xylso + v_xylse + v_xyhso + v_xyhse; v_xy_ += vec_reve(v_xy_);
+        int16x8_t v_xy_ = v_xyl + v_xyh; v_xy_ += vec_reve(v_xy_);
 
         const float32x4_t v_xy = vec_float(vec_unpackh(v_xy_));
         const float32x4_t v_d = vec_splats(GGML_CPU_FP16_TO_FP32(x[ib].d) * GGML_CPU_FP16_TO_FP32(y[ib].d));
@@ -890,8 +890,7 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
         const int16x8_t v_minsh = (int16x8_t)vec_unpackh((uint8x16_t)v_mins8);
 
         const int32x4_t v_minso = vec_mulo(v_ysums, v_minsh);
-        const int32x4_t v_minse = vec_mule(v_ysums, v_minsh);
-        const int32x4_t v_mins = v_minso + v_minse;
+        const int32x4_t v_mins = vec_meadd(v_ysums, v_minsh, v_minso);
         sumf -= dmin * (v_mins[0] + v_mins[1] + v_mins[2] + v_mins[3]);
 
         const uint8_t * scales = (const uint8_t *)utmp;
@@ -1004,8 +1003,7 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
         const int16x8_t v_minsh = (int16x8_t)vec_unpackh(v_mins8);
 
         const int32x4_t v_minsho = vec_mulo(v_ysums, v_minsh);
-        const int32x4_t v_minshe = vec_mule(v_ysums, v_minsh);
-        const int32x4_t v_mins = vec_add(v_minsho, v_minshe);
+        const int32x4_t v_mins = vec_meadd(v_ysums, v_minsh, v_minsho);
         const int32_t mins = vec_hsum_i32x4(v_mins);
 
         const uint8_t * scales = (const uint8_t *)utmp;
@@ -1110,10 +1108,10 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
         const int16x8_t v_scaleh = vec_unpackl(v_scale);
 
         const int32x4_t v_minslo = vec_mulo(v_ysumsl, v_scalel);
-        const int32x4_t v_minsle = vec_mule(v_ysumsl, v_scalel);
+        const int32x4_t v_minsl = vec_meadd(v_ysumsl, v_scalel, v_minslo);
         const int32x4_t v_minsho = vec_mulo(v_ysumsh, v_scaleh);
-        const int32x4_t v_minshe = vec_mule(v_ysumsh, v_scaleh);
-        const int32x4_t v_mins = v_minslo + v_minsle + v_minsho + v_minshe;
+        const int32x4_t v_minsh = vec_meadd(v_ysumsh, v_scaleh, v_minsho);
+        const int32x4_t v_mins = vec_add(v_minsl, v_minsh);
 
         const int32_t mins = vec_hsum_i32x4(v_mins);
 
diff --git a/ggml/src/ggml-cpu/arch/x86/repack.cpp b/ggml/src/ggml-cpu/arch/x86/repack.cpp
index 7dda9eea0c5..33c6cb65098 100644
--- a/ggml/src/ggml-cpu/arch/x86/repack.cpp
+++ b/ggml/src/ggml-cpu/arch/x86/repack.cpp
@@ -423,7 +423,7 @@ void ggml_quantize_mat_q8_K_4x8(const float * GGML_RESTRICT x, void * GGML_RESTR
             quants_interleaved[j] = i0;
         }
 
-        // Masks to shuffle the quants of corresonding sub blocks for rearraning quants for vectorized bsums computation
+        // Masks to shuffle the quants of corresponding sub blocks for rearranging quants for vectorized bsums computation
         __m256i shuffle_mask_sb2 = _mm256_castsi128_si256(_mm_setr_epi8(0, 1, 0, 1, 4, 5, 6, 7, 8, 9, 8, 9, 12, 13, 14, 15));
         shuffle_mask_sb2 = _mm256_permute2f128_si256(shuffle_mask_sb2, shuffle_mask_sb2, 0);
         __m256i shuffle_mask_sb3 = _mm256_castsi128_si256(_mm_setr_epi8(0, 1, 2, 3, 0, 1, 6, 7, 8, 9, 10, 11, 8, 9, 14, 15));
@@ -522,7 +522,8 @@ template<typename block_tx8>
 static void gemv_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc, __m256i signextendlut) {
     static_assert(
             std::is_same_v<block_tx8, block_q4_0x8> ||
-            std::is_same_v<block_tx8, block_iq4_nlx8>,
+            std::is_same_v<block_tx8, block_iq4_nlx8> ||
+            std::is_same_v<block_tx8, block_mxfp4x8>,
             "Unsupported block type");
 
     const int qk = QK8_0;
@@ -580,6 +581,18 @@ static void gemv_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                         std::is_same_v<block_tx8, block_q4_0x8> ||
                         std::is_same_v<block_tx8, block_iq4_nlx8>) {
                     col_scale_f32 = GGML_F32Cx8_REARRANGE_LOAD(b_ptr[b].d, changemask);
+                } else if constexpr (std::is_same_v<block_tx8, block_mxfp4x8>) {
+                    // Load 8 E8M0 exponents and convert to float via LUT
+                    // Rearranged to match changemask order: 0,4,1,5,2,6,3,7
+                    col_scale_f32 = _mm256_set_ps(
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[0]));
                 }
 
                 // Load and convert to FP32 scale from block_q8_0
@@ -612,7 +625,7 @@ static void gemv_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                 iacc = mul_sum_i8_pairs_acc_int32x8(iacc, _mm256_blend_epi32(rhs_vec_0123_3 ,_mm256_shuffle_epi32(rhs_vec_4567_3, 177), 170), _mm256_shuffle_epi32(lhs_vec_1, 170));
                 iacc = mul_sum_i8_pairs_acc_int32x8(iacc, _mm256_blend_epi32(_mm256_shuffle_epi32(rhs_vec_0123_3, 177) ,rhs_vec_4567_3, 170), _mm256_shuffle_epi32(lhs_vec_1, 255));
 
-                // Accumulated values multipled with appropriate scales
+                // Accumulated values multiplied with appropriate scales
                 acc_row = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc), _mm256_mul_ps(col_scale_f32, row_scale_f32), acc_row);
             }
 
@@ -628,7 +641,8 @@ template<typename block_tx8>
 static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc, __m256i signextendlut) {
     static_assert(
             std::is_same_v<block_tx8, block_q4_0x8> ||
-            std::is_same_v<block_tx8, block_iq4_nlx8>,
+            std::is_same_v<block_tx8, block_iq4_nlx8> ||
+            std::is_same_v<block_tx8, block_mxfp4x8>,
             "Unsupported block type");
 
     const int qk = QK8_0;
@@ -749,6 +763,25 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                         std::is_same_v<block_tx8, block_q4_0x8> ||
                         std::is_same_v<block_tx8, block_iq4_nlx8>) {
                     col_scale_f32 = GGML_F32Cx8x2_LOAD(b_ptr_0[b].d, b_ptr_1[b].d);
+                } else if constexpr (std::is_same_v<block_tx8, block_mxfp4x8>) {
+                    //TODO: simd-ify
+                    col_scale_f32 = _mm512_set_ps(
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[0]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[0]));
                 }
 
                 // Process LHS in pairs of rows
@@ -835,7 +868,7 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                     const __m128i row_scale_f16 = _mm_shuffle_epi32(_mm_maskload_epi32((int const*)(a_ptrs[rp][b].d), loadMask), 68);
                     const __m512 row_scale_f32 = GGML_F32Cx16_REPEAT_LOAD(row_scale_f16);
 
-                    // Multiply with appropiate scales and accumulate
+                    // Multiply with appropriate scales and accumulate
                     acc_rows[rp * 4]     = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_0), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 0)),   acc_rows[rp * 4]);
                     acc_rows[rp * 4 + 1] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_1), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 85)),  acc_rows[rp * 4 + 1]);
                     acc_rows[rp * 4 + 2] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_2), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[rp * 4 + 2]);
@@ -941,6 +974,25 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                         std::is_same_v<block_tx8, block_q4_0x8> ||
                         std::is_same_v<block_tx8, block_iq4_nlx8>) {
                     col_scale_f32 = GGML_F32Cx8x2_LOAD(b_ptr_0[b].d, b_ptr_1[b].d);
+                } else if constexpr (std::is_same_v<block_tx8, block_mxfp4x8>) {
+                    //TODO: simd-ify
+                    col_scale_f32 = _mm512_set_ps(
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_1[b].e[0]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr_0[b].e[0]));
                 }
 
                 // Load the four blocks of quantized values interleaved with each other in chunks of eight - A0,A1,A2,A3
@@ -1024,7 +1076,7 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                 const __m128i row_scale_f16 = _mm_shuffle_epi32(_mm_maskload_epi32((int const*)(a_ptr[b].d), loadMask), 68);
                 const __m512 row_scale_f32 = GGML_F32Cx16_REPEAT_LOAD(row_scale_f16);
 
-                // Multiply with appropiate scales and accumulate
+                // Multiply with appropriate scales and accumulate
                 acc_rows[0] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_0), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 0)),   acc_rows[0]);
                 acc_rows[1] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_1), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 85)),  acc_rows[1]);
                 acc_rows[2] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_2), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[2]);
@@ -1123,6 +1175,16 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                         std::is_same_v<block_tx8, block_q4_0x8> ||
                         std::is_same_v<block_tx8, block_iq4_nlx8>) {
                     col_scale_f32 = GGML_F32Cx8_LOAD(b_ptr[b].d);
+                } else if constexpr (std::is_same_v<block_tx8, block_mxfp4x8>) {
+                    col_scale_f32 = _mm256_set_ps(
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[0]));
                 }
 
                 // Process LHS in groups of four
@@ -1195,7 +1257,7 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                     // Load the scale(d) values for all the 4 Q8_0 blocks and repeat it across lanes
                     const __m256 row_scale_f32 = GGML_F32Cx8_REPEAT_LOAD(a_ptrs[rp][b].d, loadMask);
 
-                    // Multiply with appropiate scales and accumulate
+                    // Multiply with appropriate scales and accumulate
                     acc_rows[rp * 4] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_0), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[rp * 4]);
                     acc_rows[rp * 4 + 1] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_1), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[rp * 4 + 1]);
                     acc_rows[rp * 4 + 2] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_2), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[rp * 4 + 2]);
@@ -1283,6 +1345,16 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                         std::is_same_v<block_tx8, block_q4_0x8> ||
                         std::is_same_v<block_tx8, block_iq4_nlx8>) {
                     col_scale_f32 = GGML_F32Cx8_LOAD(b_ptr[b].d);
+                } else if constexpr (std::is_same_v<block_tx8, block_mxfp4x8>) {
+                    col_scale_f32 = _mm256_set_ps(
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[7]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[6]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[5]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[4]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[3]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[2]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[1]),
+                        GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[b].e[0]));
                 }
 
                 // Load the four blocks of quantized values interleaved with each other in chunks of eight - A0,A1,A2,A3
@@ -1356,7 +1428,7 @@ static void gemm_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t
                 // Load the scale(d) values for all the 4 Q8_0 blocks and repeat it across lanes
                 const __m256 row_scale_f32 = GGML_F32Cx8_REPEAT_LOAD(a_ptr[b].d, loadMask);
 
-                // Multiply with appropiate scales and accumulate
+                // Multiply with appropriate scales and accumulate
                 acc_rows[0] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_0), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[0]);
                 acc_rows[1] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_1), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[1]);
                 acc_rows[2] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_2), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[2]);
@@ -1540,7 +1612,7 @@ void ggml_gemv_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                     lhs_vec_11 = _mm256_permute2f128_si256(lhs_vec_11, lhs_vec_11, 0);
 
                     // Dot product done within 32 bit lanes and accumulated in the same vector
-                    // First done for first sub block and thenn for second sub block in each sb
+                    // First done for first sub block and then for second sub block in each sb
                     // B0(0-3) B4(0-3) B1(0-3) B5(0-3) B2(0-3) B6(0-3) B3(0-3) B7(0-3) with A0(0-3)
                     // B0(4-7) B4(4-7) B1(4-7) B5(4-7) B2(4-7) B6(4-7) B3(4-7) B7(4-7) with A0(4-7)
                     // ...........................................................................
@@ -1625,6 +1697,19 @@ void ggml_gemv_iq4_nl_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const
     ggml_gemv_iq4_nl_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemv_mxfp4_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+#if defined(__AVX2__)
+    __m256i signextendlut = _mm256_castsi128_si256(_mm_loadu_si128((const __m128i*)kvalues_mxfp4));
+    signextendlut = _mm256_permute2f128_si256(signextendlut, signextendlut, 0);
+
+    gemv_q4_b32_8x8_q8_0_lut_avx<block_mxfp4x8>(n, s, bs, vx, vy, nr, nc, signextendlut);
+
+    return;
+#endif
+
+    ggml_gemv_mxfp4_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
 void ggml_gemv_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK_K;
     const int nb = n / qk;
@@ -2337,7 +2422,7 @@ void ggml_gemm_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                         const __m256 row_scale_f32_ymm = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse);
                         const __m512 row_scale_f32 = _mm512_insertf32x8(_mm512_castps256_ps512(row_scale_f32_ymm), row_scale_f32_ymm, 1);
 
-                        // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                        // Multiply with appropriate scales and accumulate (for both d and dmin) below
                         acc_rows[rp * 4] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_0), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[rp * 4]);
                         acc_rows[rp * 4  + 1] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_1), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[rp * 4 + 1]);
                         acc_rows[rp * 4 + 2] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_2), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[rp * 4 + 2]);
@@ -2700,7 +2785,7 @@ void ggml_gemm_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                     const __m256 row_scale_f32_ymm = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse);
                     const __m512 row_scale_f32 = _mm512_insertf32x8(_mm512_castps256_ps512(row_scale_f32_ymm), row_scale_f32_ymm, 1);
 
-                    // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                    // Multiply with appropriate scales and accumulate (for both d and dmin) below
                     acc_rows[0] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_0), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[0]);
                     acc_rows[1] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_1), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[1]);
                     acc_rows[2] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_2), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[2]);
@@ -2717,7 +2802,7 @@ void ggml_gemm_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                     acc_min_rows[3] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_min_3), _mm512_mul_ps(col_dmin_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 255)), acc_min_rows[3]);
                 }
             }
-            // Store accumlated values
+            // Store accumulated values
             for (int i = 0; i < 4; i++) {
                 _mm512_storeu_ps((float * )(s + ((y * 4 + i) * bs + x * 8)), _mm512_sub_ps(acc_rows[i], acc_min_rows[i]));
             }
@@ -3045,7 +3130,7 @@ void ggml_gemm_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                         const __m128 row_scale_f32_sse = _mm_load_ps(a_ptrs[rp][b].d);
                         const __m256 row_scale_f32 = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse);//GGML_F32Cx8_REPEAT_LOAD(a_ptrs[rp][b].d, loadMask);
 
-                        // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                        // Multiply with appropriate scales and accumulate (for both d and dmin) below
                         acc_rows[rp * 4] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_0), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[rp * 4]);
                         acc_rows[rp * 4 + 1] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_1), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[rp * 4 + 1]);
                         acc_rows[rp * 4 + 2] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_2), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[rp * 4 + 2]);
@@ -3375,7 +3460,7 @@ void ggml_gemm_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                     const __m128 row_scale_f32_sse = _mm_load_ps(a_ptr[b].d);
                     const __m256 row_scale_f32 = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse); //GGML_F32Cx8_REPEAT_LOAD(a_ptrs[rp][b].d, loadMask);
 
-                    // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                    // Multiply with appropriate scales and accumulate (for both d and dmin) below
                     acc_rows[0] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_0), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[0]);
                     acc_rows[1] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_1), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[1]);
                     acc_rows[2] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_2), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[2]);
@@ -3423,6 +3508,21 @@ void ggml_gemm_iq4_nl_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const
     ggml_gemm_iq4_nl_4x4_q8_0(n, s, bs, vx, vy, nr, nc);
 }
 
+void ggml_gemm_mxfp4_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+#if defined(__AVX2__) || defined(__AVX512F__)
+    {
+        __m256i signextendlut = _mm256_castsi128_si256(_mm_loadu_si128((const __m128i*)kvalues_mxfp4));
+        signextendlut = _mm256_permute2f128_si256(signextendlut, signextendlut, 0);
+
+        gemm_q4_b32_8x8_q8_0_lut_avx<block_mxfp4x8>(n, s, bs, vx, vy, nr, nc, signextendlut);
+
+        return;
+    }
+#endif // defined(__AVX2__) || defined(__AVX512F__)
+
+    ggml_gemm_mxfp4_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc);
+}
+
 void ggml_gemm_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK_K;
     const int nb = n / qk;
@@ -4168,7 +4268,7 @@ void ggml_gemm_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                         const __m256 row_scale_f32_ymm = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse);
                         const __m512 row_scale_f32 = _mm512_insertf32x8(_mm512_castps256_ps512(row_scale_f32_ymm), row_scale_f32_ymm, 1);
 
-                        // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                        // Multiply with appropriate scales and accumulate (for both d and dmin) below
                         acc_rows[rp * 4] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_0), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[rp * 4]);
                         acc_rows[rp * 4  + 1] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_1), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[rp * 4 + 1]);
                         acc_rows[rp * 4 + 2] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_2), _mm512_mul_ps(col_scale_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[rp * 4 + 2]);
@@ -4935,7 +5035,7 @@ void ggml_gemm_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                     acc_min_rows[3] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(iacc_row_min_3), _mm512_mul_ps(col_dmin_f32, _mm512_shuffle_ps(row_scale_f32, row_scale_f32, 255)), acc_min_rows[3]);
                 }
             }
-            // Store accumlated values
+            // Store accumulated values
             for (int i = 0; i < 4; i++) {
                 _mm512_storeu_ps((float * )(s + ((y * 4 + i) * bs + x * 8)), _mm512_sub_ps(acc_rows[i], acc_min_rows[i]));
             }
@@ -5577,7 +5677,7 @@ void ggml_gemm_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                         const __m128 row_scale_f32_sse = _mm_load_ps(a_ptrs[rp][b].d);
                         const __m256 row_scale_f32 = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse);
 
-                        // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                        // Multiply with appropriate scales and accumulate (for both d and dmin) below
                         acc_rows[rp * 4] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_0), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[rp * 4]);
                         acc_rows[rp * 4 + 1] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_1), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[rp * 4 + 1]);
                         acc_rows[rp * 4 + 2] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_2), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[rp * 4 + 2]);
@@ -6249,7 +6349,7 @@ void ggml_gemm_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
                     const __m128 row_scale_f32_sse = _mm_load_ps(a_ptr[b].d);
                     const __m256 row_scale_f32 = _mm256_set_m128(row_scale_f32_sse, row_scale_f32_sse);
 
-                    // Multiply with appropiate scales and accumulate (for both d and dmin) below
+                    // Multiply with appropriate scales and accumulate (for both d and dmin) below
                     acc_rows[0] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_0), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 0)), acc_rows[0]);
                     acc_rows[1] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_1), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 85)), acc_rows[1]);
                     acc_rows[2] = _mm256_fmadd_ps(_mm256_cvtepi32_ps(iacc_row_2), _mm256_mul_ps(col_scale_f32, _mm256_shuffle_ps(row_scale_f32, row_scale_f32, 170)), acc_rows[2]);
diff --git a/ggml/src/ggml-cpu/common.h b/ggml/src/ggml-cpu/common.h
index 1057b5bb152..abbadc359c5 100644
--- a/ggml/src/ggml-cpu/common.h
+++ b/ggml/src/ggml-cpu/common.h
@@ -6,8 +6,8 @@
 #include "ggml-impl.h"
 #include "simd-mappings.h"
 
-#define GGML_FA_TILE_Q  32
-#define GGML_FA_TILE_KV 16
+#define GGML_FA_TILE_Q  64
+#define GGML_FA_TILE_KV 64
 
 #ifdef __cplusplus
 
diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c
index b003fe13fd9..8b323bd9b06 100644
--- a/ggml/src/ggml-cpu/ggml-cpu.c
+++ b/ggml/src/ggml-cpu/ggml-cpu.c
@@ -270,6 +270,12 @@ static const struct ggml_type_traits_cpu type_traits_cpu[GGML_TYPE_COUNT] = {
         .vec_dot_type             = GGML_TYPE_Q8_0,
         .nrows                    = 1,
     },
+    [GGML_TYPE_NVFP4] = {
+        .from_float               = quantize_row_nvfp4,
+        .vec_dot                  = ggml_vec_dot_nvfp4_q8_0,
+        .vec_dot_type             = GGML_TYPE_Q8_0,
+        .nrows                    = 1,
+    },
     [GGML_TYPE_Q2_K] = {
         .from_float               = quantize_row_q2_K,
         .vec_dot                  = ggml_vec_dot_q2_K_q8_K,
@@ -2021,6 +2027,10 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm
             {
                 ggml_compute_forward_solve_tri(params, tensor);
             } break;
+        case GGML_OP_GATED_DELTA_NET:
+            {
+                ggml_compute_forward_gated_delta_net(params, tensor);
+            } break;
         case GGML_OP_MAP_CUSTOM1:
             {
                 ggml_compute_forward_map_custom1(params, tensor);
@@ -2200,6 +2210,7 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) {
             } break;
         case GGML_OP_COUNT_EQUAL:
         case GGML_OP_SOLVE_TRI:
+        case GGML_OP_GATED_DELTA_NET:
             {
                 n_tasks = n_threads;
             } break;
@@ -2477,7 +2488,7 @@ static bool ggml_thread_apply_priority(int32_t prio) {
 
     if (prio != GGML_SCHED_PRIO_LOW) {
         // Tell Windows that this thread should not be throttled (needs its own CPU core).
-        // Newer Windows 11 versions aggresively park (offline) CPU cores and often place
+        // Newer Windows 11 versions aggressively park (offline) CPU cores and often place
         // all our threads onto the first 4 cores which results in terrible performance with
         // n_threads > 4
         #if _WIN32_WINNT >= 0x0602
@@ -2874,8 +2885,8 @@ struct ggml_cplan ggml_graph_plan(
                         const int64_t DV = node->src[2]->ne[0];
 
                         // Tiled flash attention scratch (tile sizes defined in common.h)
-                        // Per-thread: Q_q + KQ + mask + VKQ32 + V32 + padding
-                        size_t prefill  = sizeof(float)*(GGML_FA_TILE_Q*DK + 2*GGML_FA_TILE_Q*GGML_FA_TILE_KV + GGML_FA_TILE_Q*DV + GGML_FA_TILE_KV*DV)*n_tasks;
+                        // Per-thread: Q_q + KQ + mask + VKQ32 + V32 + K_f32 + padding
+                        size_t prefill  = sizeof(float)*(GGML_FA_TILE_Q*DK + 2*GGML_FA_TILE_Q*GGML_FA_TILE_KV + GGML_FA_TILE_Q*DV + GGML_FA_TILE_KV*DV + GGML_FA_TILE_KV*DK)*n_tasks;
 
                         // Decode path: n_kv_chunks = n_tasks (one chunk per thread)
                         // Per-thread: VKQ accmulator (DV), partial M, partial S + intra-thread scratch for V, Q and VKQ
@@ -2905,6 +2916,11 @@ struct ggml_cplan ggml_graph_plan(
                     {
                         cur = ggml_type_size(node->type)*(n_tasks + node->src[0]->ne[0]*n_tasks);
                     } break;
+                case GGML_OP_GATED_DELTA_NET:
+                    {
+                        const int64_t S_v = node->src[2]->ne[0];
+                        cur = S_v * sizeof(float) * n_tasks;
+                    } break;
                 case GGML_OP_COUNT:
                     {
                         GGML_ABORT("fatal error");
@@ -2947,7 +2963,11 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
         /*.use_ref    =*/ cplan->use_ref,
     };
 
-    GGML_PRINT_DEBUG("thread #%d compute-start cplan %p last-graph %d \n", state->ith, cplan, state->last_graph);
+#ifdef GGML_USE_OPENMP
+    GGML_PRINT_DEBUG("thread #%d compute-start cplan %p\n", state->ith, (const void *)cplan);
+#else
+    GGML_PRINT_DEBUG("thread #%d compute-start cplan %p last-graph %d\n", state->ith, (const void *)cplan, state->last_graph);
+#endif
 
     for (int node_n = 0; node_n < cgraph->n_nodes && atomic_load_explicit(&tp->abort, memory_order_relaxed) != node_n; node_n++) {
         struct ggml_tensor * node = cgraph->nodes[node_n];
@@ -2974,7 +2994,11 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
         }
     }
 
-    GGML_PRINT_DEBUG("thread #%d compute-done cplan %p last-graph %d \n", state->ith, cplan, state->last_graph);
+#ifdef GGML_USE_OPENMP
+    GGML_PRINT_DEBUG("thread #%d compute-done cplan %p\n", state->ith, (const void *)cplan);
+#else
+    GGML_PRINT_DEBUG("thread #%d compute-done cplan %p last-graph %d\n", state->ith, (const void *)cplan, state->last_graph);
+#endif
 
     ggml_barrier(state->threadpool);
 
diff --git a/ggml/src/ggml-cpu/kleidiai/kernels.cpp b/ggml/src/ggml-cpu/kleidiai/kernels.cpp
index d114f2d49bf..8c4d7bc925f 100644
--- a/ggml/src/ggml-cpu/kleidiai/kernels.cpp
+++ b/ggml/src/ggml-cpu/kleidiai/kernels.cpp
@@ -1,4 +1,4 @@
-// SPDX-FileCopyrightText: Copyright 2025 Arm Limited and/or its affiliates <open-source-office@arm.com>
+// SPDX-FileCopyrightText: Copyright 2025-2026 Arm Limited and/or its affiliates <open-source-office@arm.com>
 // SPDX-License-Identifier: MIT
 //
 
@@ -9,7 +9,6 @@
 #include "kai_matmul_clamp_f32_qsi8d32p1x4_qsi4c32p4x4_1x4_neon_dotprod.h"
 #include "kai_matmul_clamp_f32_qsi8d32p4x4_qsi4c32p4x4_16x4_neon_dotprod.h"
 #include "kai_matmul_clamp_f32_qsi8d32p4x8_qsi4c32p4x8_16x4_neon_i8mm.h"
-#include "kai_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa.h"
 #include "kai_matmul_clamp_f32_qsi8d32p1x4_qsi4c32p4vlx4_1x4vl_sme2_sdot.h"
 #include "kai_matmul_clamp_f32_bf16p2vlx2_bf16p2vlx2_2vlx2vl_sme2_mopa.h"
 #include "kai_matmul_clamp_f32_qai8dxp1vlx4_qsi8cxp4vlx4_1vlx4vl_sme2_mopa.h"
@@ -20,6 +19,7 @@
 #include "kai_matmul_clamp_f32_qai8dxp4x8_qsi8cxp4x8_16x4_neon_i8mm.h"
 #include "kai_matmul_clamp_f32_qsi8d32p4x8_qsi4c32p8x8_16x8_sve_i8mm.h"
 #include "kai_matmul_clamp_f32_qsi8d32p1x8_qsi4c32p8x8_1x8_sve_dotprod.h"
+#include "kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa.h"
 
 #include "kai_lhs_pack_bf16p2vlx2_f32_sme.h"
 #include "kai_lhs_quant_pack_qsi8d32p_f32.h"
@@ -31,6 +31,7 @@
 #include "kai_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0.h"
 #include "kai_rhs_pack_nxk_qsi4c32ps1s0scalef16_qsu4c32s16s0_neon.h"
 #include "kai_rhs_pack_nxk_qsi8cxp_qsi8cx_neon.h"
+#include "kai_lhs_pack_f16pmrx2_f32_neon.h"
 
 #include "kai_common.h"
 
@@ -309,24 +310,24 @@ static ggml_kleidiai_kernels gemm_gemv_kernels[] = {
     {
         /* SME GEMM */
         /* .kern_info = */ {
-            /* .get_m_step            = */ kai_get_m_step_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_n_step            = */ kai_get_n_step_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_mr                = */ kai_get_mr_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_nr                = */ kai_get_nr_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_kr                = */ kai_get_kr_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_sr                = */ kai_get_sr_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_dst_offset        = */ kai_get_dst_offset_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_dst_size          = */ kai_get_dst_size_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa,
-            /* .get_lhs_offset_ex     = */ &kernel_offs_fn3<kai_get_lhs_packed_offset_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa>,
-            /* .get_rhs_packed_offset_ex = */ &kernel_offs_fn3<kai_get_rhs_packed_offset_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa>,
-            /* .run_kernel_ex         = */ &kernel_run_fn11<kai_run_matmul_clamp_f32_qsi8d32p1vlx4_qsi4c32p4vlx4_1vlx4vl_sme2_mopa>,
+            /* .get_m_step            = */ kai_get_m_step_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_n_step            = */ kai_get_n_step_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_mr                = */ kai_get_mr_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_nr                = */ kai_get_nr_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_kr                = */ kai_get_kr_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_sr                = */ kai_get_sr_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_dst_offset        = */ kai_get_dst_offset_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_dst_size          = */ kai_get_dst_size_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa,
+            /* .get_lhs_offset_ex     = */ &kernel_offs_fn3<kai_get_lhs_packed_offset_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa>,
+            /* .get_rhs_packed_offset_ex = */ &kernel_offs_fn3<kai_get_rhs_packed_offset_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa>,
+            /* .run_kernel_ex         = */ &kernel_run_fn11<kai_run_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa>,
         },
 
         /* .gemm_lhs_info = */ {
-            /* .get_offset            = */ kai_get_lhs_offset_lhs_quant_pack_qsi8d32p_f32_neon,
-            /* .get_packed_offset_ex  = */ &lhs_offs_fn6<kai_get_lhs_packed_offset_lhs_quant_pack_qsi8d32p_f32_neon>,
-            /* .packed_size_ex        = */ &lhs_ps_fn6<kai_get_lhs_packed_size_lhs_quant_pack_qsi8d32p_f32_neon>,
-            /* .pack_func_ex          = */ &lhs_pack_float_fn10<kai_run_lhs_quant_pack_qsi8d32p_f32_neon>,
+            /* .get_offset            = */ kai_get_lhs_offset_lhs_pack_f16pmrx2_f32_neon,
+            /* .get_packed_offset_ex  = */ &lhs_offs_fn6<kai_get_lhs_packed_offset_lhs_pack_f16pmrx2_f32_neon>,
+            /* .packed_size_ex        = */ &lhs_ps_fn6<kai_get_lhs_packed_size_lhs_pack_f16pmrx2_f32_neon>,
+            /* .pack_func_ex          = */ &lhs_pack_void_fn10<kai_run_lhs_pack_f16pmrx2_f32_neon>,
         },
         /* SME GEMV */
         /* .kern_info = */ {
@@ -519,7 +520,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels[] = {
             /* .packed_stride_ex      = */ &rhs_stride_fn4<kai_get_rhs_packed_stride_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0>,
             /* .pack_func_ex          = */ &rhs_pack_fn12<kai_run_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0>,
         },
-        /* .required_cpu       = */ CPU_FEATURE_DOTPROD | CPU_FEATURE_I8MM,
+        /* .required_cpu       = */ CPU_FEATURE_I8MM,
         /* .lhs_type           = */ GGML_TYPE_F32,
         /* .rhs_type           = */ GGML_TYPE_Q4_0,
         /* .op_type            = */ GGML_TYPE_F32,
@@ -630,7 +631,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels[] = {
             /* .packed_stride_ex      = */ &rhs_stride_fn4<kai_get_rhs_packed_stride_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0>,
             /* .pack_func_ex          = */ &rhs_pack_fn12<kai_run_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0>,
         },
-        /* .required_cpu       = */ CPU_FEATURE_DOTPROD | CPU_FEATURE_I8MM,
+        /* .required_cpu       = */ CPU_FEATURE_I8MM,
         /* .lhs_type           = */ GGML_TYPE_F32,
         /* .rhs_type           = */ GGML_TYPE_Q4_0,
         /* .op_type            = */ GGML_TYPE_F32,
@@ -800,7 +801,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels_q8[] = {
             /* .packed_stride_ex      = */ &rhs_stride_fn4<kai_get_rhs_packed_stride_rhs_pack_nxk_qsi8cxp_qsi8cx_neon>,
             /* .pack_func_ex          = */ &rhs_pack_scale_fn12<kai_run_rhs_pack_nxk_qsi8cxp_qsi8cx_neon>,
         },
-        /* .required_cpu       = */ CPU_FEATURE_DOTPROD | CPU_FEATURE_I8MM,
+        /* .required_cpu       = */ CPU_FEATURE_I8MM,
         /* .lhs_type           = */ GGML_TYPE_F32,
         /* .rhs_type           = */ GGML_TYPE_Q8_0,
         /* .op_type            = */ GGML_TYPE_F32,
diff --git a/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp b/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp
index ad23e73184e..9bcc18d442c 100644
--- a/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp
+++ b/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp
@@ -1,20 +1,31 @@
-// SPDX-FileCopyrightText: Copyright 2025 Arm Limited and/or its affiliates <open-source-office@arm.com>
+// SPDX-FileCopyrightText: Copyright 2025-2026 Arm Limited and/or its affiliates <open-source-office@arm.com>
 // SPDX-License-Identifier: MIT
 //
 #include <arm_neon.h>
 #include <assert.h>
+#include <stdio.h>
 #include <atomic>
 #include <cfloat>
-#include <cmath>
 #include <algorithm>
+#include <cmath>
 #include <stdexcept>
 #include <stdint.h>
 #include <string.h>
 #include <string>
 #include <vector>
+#include <array>
+#include <cstddef>
+#include <cstdint>
+#include <fstream>
+#include <set>
+#include <iostream>
+#include <climits>
 #if defined(__linux__)
 #include <asm/hwcap.h>
 #include <sys/auxv.h>
+#include <sys/types.h>
+#include <sys/stat.h>
+#include <unistd.h>
 #elif defined(__APPLE__)
 #include <string_view>
 #include <sys/sysctl.h>
@@ -39,11 +50,18 @@
 #define GGML_COMMON_DECL_CPP
 #include "ggml-common.h"
 
+static constexpr int      GGML_KLEIDIAI_MAX_KERNEL_SLOTS = 2;
+static constexpr uint32_t GGML_KLEIDIAI_PACK_MAGIC       = 0x4b4c4149; // "KLAI"
+static constexpr uint16_t GGML_KLEIDIAI_PACK_VERSION     = 1;
+static constexpr size_t   GGML_KLEIDIAI_PACK_ALIGN       = 64;
+
 struct ggml_kleidiai_context {
     cpu_feature features;
     ggml_kleidiai_kernels * kernels_q4;
     ggml_kleidiai_kernels * kernels_q8;
-} static ctx = { CPU_FEATURE_NONE, NULL, NULL };
+    int sme_thread_cap; // <= 0 means “SME disabled/unknown”;
+    int thread_hint;    // <= 0 means “no hint”
+} static ctx = { CPU_FEATURE_NONE, nullptr, nullptr, 0, -1 };
 
 static const char* cpu_feature_to_string(cpu_feature f) {
     if (f == CPU_FEATURE_NONE) {
@@ -63,41 +81,335 @@ static const char* cpu_feature_to_string(cpu_feature f) {
     }
 }
 
-static void init_kleidiai_context(void) {
+static size_t detect_num_smcus() {
+    if (!ggml_cpu_has_sme()) {
+        return 0;
+    }
+
+#if defined(__linux__) && defined(__aarch64__)
+    // Linux/aarch64: Best-effort count of Streaming Mode Compute Units (SMCUs) via SMIDR_EL1 sysfs.
+    size_t num_private = 0;
+    std::set<uint32_t> shared_ids;
+
+    for (size_t cpu = 0;; ++cpu) {
+        const std::string path =
+            "/sys/devices/system/cpu/cpu" + std::to_string(cpu) +
+            "/regs/identification/smidr_el1";
+
+        std::ifstream file(path);
+        if (!file.is_open()) {
+            break;
+        }
+
+        uint64_t smidr = 0;
+        if (!(file >> std::hex >> smidr)) {
+            continue;
+        }
+
+        // Arm ARM: SMIDR_EL1
+        const uint32_t sh = (uint32_t)((smidr >> 13) & 0x3);
+        // Build an "affinity-like" identifier for shared SMCUs.
+        // Keep the original packing logic, but isolate it here.
+        const uint32_t id = (uint32_t)((smidr & 0xFFFu) | ((smidr >> 20) & 0xFFFFF000u));
+
+        switch (sh) {
+            case 0b10: // private SMCU
+                ++num_private;
+                break;
+            case 0b11: // shared SMCU
+                shared_ids.emplace(id);
+                break;
+            case 0b00:
+                // Ambiguous / implementation-defined. Be conservative:
+                // treat id==0 as private, otherwise as shared.
+                if (id == 0) ++num_private;
+                else shared_ids.emplace(id);
+                break;
+            default:
+                break;
+        }
+    }
+
+    return num_private + shared_ids.size();
+
+#elif defined(__APPLE__) && defined(__aarch64__)
+    // table for known M4 variants. Users can override via GGML_KLEIDIAI_SME=<n>.
+    char chip_name[256] = {};
+    size_t size = sizeof(chip_name);
+
+    if (sysctlbyname("machdep.cpu.brand_string", chip_name, &size, nullptr, 0) == 0) {
+        const std::string brand(chip_name);
+
+        struct ModelSMCU { const char *match; size_t smcus; };
+        static const ModelSMCU table[] = {
+            { "M4 Ultra", 2 },
+            { "M4 Max",   2 },
+            { "M4 Pro",   2 },
+            { "M4",       1 },
+        };
 
+        for (const auto &e : table) {
+            if (brand.find(e.match) != std::string::npos) {
+                return e.smcus;
+            }
+        }
+    }
+    return 1;
+
+#else
+    return 1;
+#endif
+}
+
+static int parse_uint_env(const char *s, const char *name, bool *ok) {
+    if (!s) { *ok = false; return 0; }
+    char *end = nullptr;
+    long v = strtol(s, &end, 10);
+    if (end == s || *end != '\0') {
+        GGML_LOG_WARN("kleidiai: invalid %s='%s' (expected integer)\n", name, s);
+        *ok = false;
+        return 0;
+    }
+    if (v < 0 || v > INT_MAX) {
+        GGML_LOG_WARN("kleidiai: out-of-range %s='%s'\n", name, s);
+        *ok = false;
+        return 0;
+    }
+    *ok = true;
+    return (int)v;
+}
+
+static void init_kleidiai_context(void) {
     ggml_critical_section_start();
     static bool initialized = false;
 
     if (!initialized) {
         initialized = true;
-        const char *env_var = getenv("GGML_KLEIDIAI_SME");
-        int sme_enabled = 0;
+
+        const char *env_sme     = getenv("GGML_KLEIDIAI_SME");
+        const char *env_threads = getenv("GGML_TOTAL_THREADS");
+
+        const bool cpu_has_sme = ggml_cpu_has_sme();
+        size_t detected_smcus = 0;
 
         ctx.features  = (ggml_cpu_has_dotprod()     ? CPU_FEATURE_DOTPROD : CPU_FEATURE_NONE) |
                         (ggml_cpu_has_matmul_int8() ? CPU_FEATURE_I8MM    : CPU_FEATURE_NONE) |
                         ((ggml_cpu_has_sve() && ggml_cpu_get_sve_cnt() == QK8_0) ? CPU_FEATURE_SVE : CPU_FEATURE_NONE);
 
-        if (env_var) {
-            sme_enabled = atoi(env_var);
+        if (env_threads) {
+            bool ok = false;
+            int hint = parse_uint_env(env_threads, "GGML_TOTAL_THREADS", &ok);
+            if (ok && hint > 0) {
+                ctx.thread_hint = hint;
+            }
         }
 
-        if (sme_enabled != 0) {
-            ctx.features |= ggml_cpu_has_sme() ? CPU_FEATURE_SME : CPU_FEATURE_NONE;
+        // SME policy:
+        // - If CPU doesn't support SME: SME always off.
+        // - Else:
+        //   - env unset => auto-detect cores; enable if detected > 0.
+        //   - env=0     => force off.
+        //   - env>0     => force N cores (skip detection).
+        int sme_cores = 0;
+        bool sme_env_ok = false;
+        bool sme_env_set = (env_sme != nullptr);
+
+        if (!cpu_has_sme) {
+            if (sme_env_set) {
+                bool ok = false;
+                int req = parse_uint_env(env_sme, "GGML_KLEIDIAI_SME", &ok);
+                if (ok && req > 0) {
+                    GGML_LOG_WARN("kleidiai: GGML_KLEIDIAI_SME=%d but SME is not supported on this CPU; disabling SME\n", req);
+                }
+            }
+            sme_cores = 0;
+        } else {
+            if (sme_env_set) {
+                bool ok = false;
+                int v = parse_uint_env(env_sme, "GGML_KLEIDIAI_SME", &ok);
+                sme_env_ok = ok;
+
+                if (!ok) {
+                    GGML_LOG_WARN("kleidiai: GGML_KLEIDIAI_SME set but parsing failed; falling back to runtime SME-core detection\n");
+                    detected_smcus = detect_num_smcus();
+                    sme_cores = detected_smcus > 0 ? (int)detected_smcus : 0;
+                } else if (v == 0) {
+                    sme_cores = 0;
+                } else {
+                    sme_cores = v;
+                }
+            } else {
+                detected_smcus = detect_num_smcus();
+                sme_cores = detected_smcus > 0 ? (int)detected_smcus : 0;
+            }
+
+            if (!sme_env_set && sme_cores == 0) {
+                GGML_LOG_WARN("kleidiai: SME supported but runtime SME-core detection returned 0; falling back to NEON\n");
+            }
+
+            if (sme_cores > 0) {
+                ctx.features |= CPU_FEATURE_SME;
+            }
         }
+
+        // Kernel selection
         ctx.kernels_q4 = ggml_kleidiai_select_kernels_q4_0(ctx.features);
         ctx.kernels_q8 = ggml_kleidiai_select_kernels_q8_0(ctx.features);
-#ifndef NDEBUG
-        if (ctx.kernels_q4) {
-            GGML_LOG_DEBUG("kleidiai: using q4 kernel with CPU feature %s\n", cpu_feature_to_string(ctx.kernels_q4->required_cpu));
+
+        if (!ctx.kernels_q4) {
+            GGML_LOG_INFO("kleidiai: no compatible q4 kernels found for CPU features mask %d\n", (int)ctx.features);
+        } else {
+            GGML_LOG_INFO("kleidiai: primary q4 kernel feature %s\n", cpu_feature_to_string(ctx.kernels_q4->required_cpu));
+        }
+
+        if (!ctx.kernels_q8) {
+            GGML_LOG_INFO("kleidiai: no compatible q8 kernels found for CPU features mask %d\n", (int)ctx.features);
+        } else {
+            GGML_LOG_INFO("kleidiai: primary q8 kernel feature %s\n", cpu_feature_to_string(ctx.kernels_q8->required_cpu));
         }
-        if (ctx.kernels_q8) {
-            GGML_LOG_DEBUG("kleidiai: using q8 kernel with CPU feature %s\n", cpu_feature_to_string(ctx.kernels_q8->required_cpu));
+
+        ctx.sme_thread_cap = (ctx.features & CPU_FEATURE_SME) ? sme_cores : 0;
+
+        if (ctx.features & CPU_FEATURE_SME) {
+            if (sme_env_set && sme_env_ok && sme_cores > 0) {
+                GGML_LOG_INFO("kleidiai: SME enabled (GGML_KLEIDIAI_SME=%d override)\n", sme_cores);
+            } else {
+                GGML_LOG_INFO("kleidiai: SME enabled (runtime-detected SME cores=%d)\n", sme_cores);
+            }
+        } else {
+            GGML_LOG_INFO("kleidiai: SME disabled\n");
         }
-#endif
     }
+
     ggml_critical_section_end();
 }
 
+static inline int kleidiai_sme_thread_cap() {
+    return ctx.sme_thread_cap;
+}
+
+static inline size_t align_up(size_t value, size_t alignment) {
+    if (alignment == 0) {
+        return value;
+    }
+    const size_t remainder = value % alignment;
+    return remainder == 0 ? value : value + (alignment - remainder);
+}
+
+static inline bool kleidiai_pack_fallback_allowed() {
+    if (ctx.sme_thread_cap <= 0) {
+        return false;
+    }
+    if (ctx.thread_hint <= 0) {
+        return true;
+    }
+    return ctx.thread_hint > ctx.sme_thread_cap;
+}
+
+struct kleidiai_weight_header {
+    uint32_t magic;
+    uint16_t version;
+    uint16_t slot_count;
+    uint64_t offsets[GGML_KLEIDIAI_MAX_KERNEL_SLOTS];
+    uint64_t sizes[GGML_KLEIDIAI_MAX_KERNEL_SLOTS];
+};
+
+static inline kleidiai_weight_header * kleidiai_weight_header_from_ptr(void * data) {
+    return reinterpret_cast<kleidiai_weight_header *>(data);
+}
+
+static inline const kleidiai_weight_header * kleidiai_weight_header_from_ptr(const void * data) {
+    return reinterpret_cast<const kleidiai_weight_header *>(data);
+}
+
+static inline bool kleidiai_is_weight_header_valid(const kleidiai_weight_header * header) {
+    if (!header) {
+        return false;
+    }
+    if (header->magic != GGML_KLEIDIAI_PACK_MAGIC || header->version != GGML_KLEIDIAI_PACK_VERSION) {
+        return false;
+    }
+    if (header->slot_count == 0 || header->slot_count > GGML_KLEIDIAI_MAX_KERNEL_SLOTS) {
+        return false;
+    }
+    return true;
+}
+
+static inline uint8_t * kleidiai_weight_slot_ptr(kleidiai_weight_header * header, int slot) {
+    if (!kleidiai_is_weight_header_valid(header)) {
+        return nullptr;
+    }
+    if (slot < 0 || slot >= header->slot_count) {
+        return nullptr;
+    }
+    return reinterpret_cast<uint8_t *>(header) + header->offsets[slot];
+}
+
+static inline const uint8_t * kleidiai_weight_slot_ptr(const kleidiai_weight_header * header, int slot) {
+    if (!kleidiai_is_weight_header_valid(header)) {
+        return nullptr;
+    }
+    if (slot < 0 || slot >= header->slot_count) {
+        return nullptr;
+    }
+    return reinterpret_cast<const uint8_t *>(header) + header->offsets[slot];
+}
+
+static inline ggml_kleidiai_kernels * kleidiai_primary_kernel_q4() {
+    return ctx.kernels_q4;
+}
+
+static inline ggml_kleidiai_kernels * kleidiai_primary_kernel_q8() {
+    return ctx.kernels_q8;
+}
+
+template <typename SelectFallback>
+static int kleidiai_collect_kernel_chain_common(
+        ggml_kleidiai_kernels * primary,
+        cpu_feature features,
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> & out,
+        SelectFallback select_fallback) {
+    int count = 0;
+    if (!primary) {
+        return 0;
+    }
+    out[count++] = primary;
+
+    if ((primary->required_cpu & CPU_FEATURE_SME) == CPU_FEATURE_SME) {
+        const cpu_feature fallback_mask = static_cast<cpu_feature>(features & ~CPU_FEATURE_SME);
+        if (fallback_mask != CPU_FEATURE_NONE) {
+            ggml_kleidiai_kernels * fallback = select_fallback(fallback_mask);
+            if (fallback && fallback != primary &&
+                fallback->lhs_type == primary->lhs_type &&
+                fallback->rhs_type == primary->rhs_type &&
+                fallback->op_type  == primary->op_type) {
+                out[count++] = fallback;
+            }
+        }
+    }
+
+    return count;
+}
+
+static int kleidiai_collect_kernel_chain(const struct ggml_tensor * op,
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> & out) {
+    ggml_kleidiai_kernels * primary = ggml_kleidiai_select_kernels(ctx.features, op);
+    return kleidiai_collect_kernel_chain_common(primary, ctx.features, out,
+        [&](cpu_feature mask) { return ggml_kleidiai_select_kernels(mask, op); });
+}
+
+static int kleidiai_collect_q4_chain(std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> & out) {
+    ggml_kleidiai_kernels * primary = kleidiai_primary_kernel_q4();
+    return kleidiai_collect_kernel_chain_common(primary, ctx.features, out,
+        [&](cpu_feature mask) { return ggml_kleidiai_select_kernels_q4_0(mask); });
+}
+
+static int kleidiai_collect_q8_chain(std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> & out) {
+    ggml_kleidiai_kernels * primary = kleidiai_primary_kernel_q8();
+    return kleidiai_collect_kernel_chain_common(primary, ctx.features, out,
+        [&](cpu_feature mask) { return ggml_kleidiai_select_kernels_q8_0(mask); });
+}
+
 static inline int64_t ggml_ne(const ggml_tensor * tensor, int dim) {
     GGML_ASSERT(dim >= 0 && dim < GGML_MAX_DIMS);
     return tensor->ne[dim];
@@ -126,49 +438,108 @@ class tensor_traits : public ggml::cpu::tensor_traits {
         if (op->op != GGML_OP_MUL_MAT) {
             return false;
         }
-        ggml_kleidiai_kernels *kernels = ggml_kleidiai_select_kernels(ctx.features, op);
-        if (!kernels) {
+
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+        const int slot_count = kleidiai_collect_kernel_chain(op, kernel_chain);
+        if (slot_count == 0) {
             return false;
         }
-        bool is_gemv = op->src[1]->ne[1] == 1;
-        kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm;
-        lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info;
 
-        size_t k = op->src[0]->ne[0];
-        size_t n = op->src[0]->ne[1];
-        size_t m = op->src[1]->ne[1];
-
-        size_t mr = kernel->get_mr();
-        size_t kr = kernel->get_kr();
-        size_t sr = kernel->get_sr();
-
-        if (kernels->rhs_type == GGML_TYPE_Q4_0) {
-            if (!lhs_info->packed_size_ex) return false;
-            size = lhs_info->packed_size_ex(m, k, QK4_0, mr, kr, sr);
-        } else if (kernels->rhs_type == GGML_TYPE_Q8_0) {
-            if (!lhs_info->packed_size_ex) return false;
-            size = lhs_info->packed_size_ex(m, k, QK8_0, mr, kr, sr);
-        } else if (kernels->rhs_type == GGML_TYPE_F16) {
-            if (!lhs_info->packed_size_ex || !kernels->rhs_info.packed_size_ex) return false;
+        const bool is_gemv = op->src[1]->ne[1] == 1;
+        const size_t k = op->src[0]->ne[0];
+        const size_t n = op->src[0]->ne[1];
+        const size_t m = op->src[1]->ne[1];
+
+        if (op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_Q8_0) {
+            const size_t qk = (op->src[0]->type == GGML_TYPE_Q4_0) ? QK4_0 : QK8_0;
+
+            size_t cursor = 0;
+            bool any_slot = false;
+
+            for (int slot = 0; slot < slot_count; ++slot) {
+                ggml_kleidiai_kernels * kernels = kernel_chain[slot];
+                lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info;
+                kernel_info * kernel        = is_gemv ? &kernels->gemv : &kernels->gemm;
+
+                if (!lhs_info || !lhs_info->packed_size_ex || !kernel) {
+                    return false;
+                }
+
+                const size_t mr = kernel->get_mr();
+                const size_t kr = kernel->get_kr();
+                const size_t sr = kernel->get_sr();
+
+                const size_t packed = lhs_info->packed_size_ex(m, k, qk, mr, kr, sr);
+
+                cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+                cursor += packed;
+                any_slot = true;
+            }
+
+            if (!any_slot) {
+                return false;
+            }
+
+            size = cursor;
+            return true;
+        }
+
+        if (op->src[0]->type == GGML_TYPE_F16) {
             const int64_t lhs_batch_size0 = op->src[1]->ne[2];
             const int64_t rhs_batch_size0 = op->src[0]->ne[2];
+            GGML_ASSERT(rhs_batch_size0 > 0);
             const int64_t r = lhs_batch_size0 / rhs_batch_size0;
-            size = lhs_info->packed_size_ex(m * r, k, 0, mr, kr, sr) +
-                   kernels->rhs_info.packed_size_ex(n, k, kernel->get_nr(), kernel->get_kr(), 0) +
-                   k * n * sizeof(float) + n * sizeof(float);
-        } else {
-            return false;
+
+            size_t cursor = 0;
+            bool any_slot = false;
+
+            for (int slot = 0; slot < slot_count; ++slot) {
+                ggml_kleidiai_kernels * kernels = kernel_chain[slot];
+                lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info;
+                kernel_info * kernel        = is_gemv ? &kernels->gemv : &kernels->gemm;
+                if (!lhs_info || !lhs_info->packed_size_ex || !kernels->rhs_info.packed_size_ex || !kernel) {
+                    return false;
+                }
+
+                const size_t mr = kernel->get_mr();
+                const size_t kr = kernel->get_kr();
+                const size_t sr = kernel->get_sr();
+
+                cursor  = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+                cursor += lhs_info->packed_size_ex(m * r, k, 0, mr, kr, sr);
+                any_slot = true;
+            }
+
+            for (int slot = 0; slot < slot_count; ++slot) {
+                ggml_kleidiai_kernels * kernels = kernel_chain[slot];
+                kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm;
+                if (!kernel || !kernels->rhs_info.packed_size_ex) {
+                    return false;
+                }
+                cursor  = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+                cursor += kernels->rhs_info.packed_size_ex(n, k, kernel->get_nr(), kernel->get_kr(), 0);
+            }
+
+            cursor  = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+            cursor += k * n * sizeof(float);
+            cursor  = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+            cursor += n * sizeof(float);
+
+            if (!any_slot) {
+                return false;
+            }
+
+            size = cursor;
+            return true;
         }
 
-        return true;
+        return false;
     }
 
     bool compute_forward(struct ggml_compute_params * params, struct ggml_tensor * dst) override {
         if (dst->op == GGML_OP_MUL_MAT) {
-            if (dst->src[0]->type == GGML_TYPE_Q4_0) {
-                return compute_forward_q4_0(params, dst);
-            } else if (dst->src[0]->type == GGML_TYPE_Q8_0) {
-                return compute_forward_q8_0(params, dst);
+            if (dst->src[0]->type == GGML_TYPE_Q4_0 || dst->src[0]->type == GGML_TYPE_Q8_0) {
+                return compute_forward_qx(params, dst);
             } else if (dst->src[0]->type == GGML_TYPE_F16) {
                 return compute_forward_fp16(params, dst);
             }
@@ -331,204 +702,457 @@ class tensor_traits : public ggml::cpu::tensor_traits {
         return true;
     }
 
-    bool compute_forward_q4_0(struct ggml_compute_params * params, struct ggml_tensor * dst) {
-        GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q4_0);
+    bool compute_forward_qx(struct ggml_compute_params * params, struct ggml_tensor * dst) {
+        GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q4_0 || dst->src[0]->type == GGML_TYPE_Q8_0);
 
         const ggml_tensor * src0 = dst->src[0];
         const ggml_tensor * src1 = dst->src[1];
 
         GGML_TENSOR_BINARY_OP_LOCALS
 
-        ggml_kleidiai_kernels *kernels = ggml_kleidiai_select_kernels(ctx.features, dst);
-        if (!kernels) {
-            return false;
-        }
-
-        bool is_gemv = src1->ne[1] == 1;
-        kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm;
-        lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info;
-
-        GGML_ASSERT(kernel);
-        if (!lhs_info->get_packed_offset_ex || !lhs_info->pack_func_ex ||
-            !kernel->get_rhs_packed_offset_ex || !kernel->run_kernel_ex || !kernel->get_dst_offset) {
-            return false;
-        }
+        const kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(src0->data);
+        const bool has_header = kleidiai_is_weight_header_valid(header);
+        const bool is_gemv = src1->ne[1] == 1;
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+        const int slot_total = kleidiai_collect_kernel_chain(dst, kernel_chain);
 
-        const int ith = params->ith;
-        const int nth_raw = params->nth;
-        const int nth = nth_raw > 0 ? nth_raw : 1;
+        auto weight_for_slot = [&](int slot_index, size_t & size_out) -> const uint8_t * {
+            if (slot_index < 0 || slot_index >= slot_total) {
+                return nullptr;
+            }
+            if (has_header) {
+                if (slot_index < header->slot_count) {
+                    size_out = static_cast<size_t>(header->sizes[slot_index]);
+                    return kleidiai_weight_slot_ptr(header, slot_index);
+                }
+                return nullptr;
+            }
+            if (slot_index == 0) {
+                size_out = ggml_nbytes(src0);
+                return static_cast<const uint8_t *>(src0->data);
+            }
+            return nullptr;
+        };
+
+        struct runtime_slot {
+            int slot_index;
+            ggml_kleidiai_kernels * kernels;
+            kernel_info * kernel;
+            lhs_packing_info * lhs_info;
+            size_t mr;
+            size_t nr;
+            size_t kr;
+            size_t sr;
+            size_t n_step;
+            size_t lhs_packed_size;
+            size_t lhs_offset;
+            size_t n_offset;
+            size_t n_cols;
+            int assigned_threads;
+            int thread_begin;
+            int thread_end;
+            const uint8_t * rhs_base;
+        };
+
+        std::array<runtime_slot, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> runtime{};
+        int runtime_count = 0;
+
+        for (int slot = 0; slot < slot_total && runtime_count < GGML_KLEIDIAI_MAX_KERNEL_SLOTS; ++slot) {
+            ggml_kleidiai_kernels * kernels = kernel_chain[slot];
+            kernel_info * kinfo      = is_gemv ? &kernels->gemv : &kernels->gemm;
+            lhs_packing_info * linfo = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info;
+            if (!kinfo || !linfo || !linfo->packed_size_ex || !linfo->pack_func_ex || !linfo->get_offset ||
+                !kinfo->get_rhs_packed_offset_ex || !kinfo->run_kernel_ex || !kinfo->get_dst_offset) {
+                continue;
+            }
 
-        const size_t k = ne00;
-        const size_t m = ne11;
-        const size_t n = ne01;
+            size_t rhs_size = 0;
+            const uint8_t * rhs_ptr = weight_for_slot(slot, rhs_size);
+            if (!rhs_ptr || rhs_size == 0) {
+                continue;
+            }
 
-        size_t mr = kernel->get_mr();
-        size_t kr = kernel->get_kr();
-        size_t sr = kernel->get_sr();
+            runtime[runtime_count] = {
+                slot,
+                kernels,
+                kinfo,
+                linfo,
+                kinfo->get_mr(),
+                kinfo->get_nr(),
+                kinfo->get_kr(),
+                kinfo->get_sr(),
+                kinfo->get_n_step(),
+                0,
+                0,
+                0,
+                0,
+                0,
+                0,
+                0,
+                rhs_ptr
+            };
+            ++runtime_count;
+        }
 
-        const uint8_t * lhs        = static_cast<const uint8_t *>(src1->data);
-        uint8_t * lhs_packed       = (uint8_t*)params->wdata;
-        const uint8_t * rhs_packed = static_cast<const uint8_t *>(src0->data);
+        if (runtime_count == 0) {
+            ggml_kleidiai_kernels * fallback = ggml_kleidiai_select_kernels(ctx.features, dst);
+            if (!fallback) {
+                return false;
+            }
+            kernel_info * kinfo      = is_gemv ? &fallback->gemv : &fallback->gemm;
+            lhs_packing_info * linfo = is_gemv ? &fallback->gemv_lhs_info : &fallback->gemm_lhs_info;
+            rhs_packing_info * rinfo = &fallback->rhs_info;
+            if (!kinfo || !linfo || !linfo->packed_size_ex || !linfo->pack_func_ex ||
+                !kinfo->get_rhs_packed_offset_ex || !kinfo->run_kernel_ex || !kinfo->get_dst_offset ||
+                !rinfo || !rinfo->pack_func_ex || !rinfo->packed_size_ex) {
+                return false;
+            }
+            kernel_chain[0] = fallback;
+            runtime[0] = {
+                0,
+                fallback,
+                kinfo,
+                linfo,
+                kinfo->get_mr(),
+                kinfo->get_nr(),
+                kinfo->get_kr(),
+                kinfo->get_sr(),
+                kinfo->get_n_step(),
+                0,
+                0,
+                0,
+                0,
+                0,
+                0,
+                0,
+                nullptr
+            };
+            size_t rhs_size_fallback = 0;
+            const uint8_t * rhs_base = weight_for_slot(0, rhs_size_fallback);
+            if (!rhs_base) {
+                rhs_base = static_cast<const uint8_t *>(src0->data);
+            }
+            runtime[0].rhs_base = rhs_base;
+            runtime_count = 1;
+        }
 
-        const size_t n_step = kernel->get_n_step();
-        const size_t num_n_per_thread = kai_roundup(kai_roundup(n, nth) / nth, n_step);
-        const size_t n_start = ith * num_n_per_thread;
+        const int nth_total = params->nth > 0 ? params->nth : 1;
+        const int ith_total = params->ith;
 
-        size_t n_to_process = 0;
-        if (n_start < n) {
-            n_to_process = num_n_per_thread;
-            if ((n_start + n_to_process) > n) {
-                n_to_process = n - n_start;
+        int sme_slot = -1;
+        for (int i = 0; i < runtime_count; ++i) {
+            if ((runtime[i].kernels->required_cpu & CPU_FEATURE_SME) == CPU_FEATURE_SME) {
+                sme_slot = i;
+                break;
             }
         }
 
-        // Calculate number of columns to be processed per thread
-        const size_t num_m_per_thread = kai_roundup(m, mr * nth) / nth;
-        const size_t m_start = ith * num_m_per_thread;
-        size_t m_to_process = num_m_per_thread;
-        if ((m_start + m_to_process) > m) {
-            m_to_process = m - m_start;
+        const int sme_cap_limit = ctx.sme_thread_cap;
+        const bool use_hybrid = sme_cap_limit > 0 &&
+                                 runtime_count > 1 &&
+                                 nth_total > sme_cap_limit;
+        // Heuristic: disable hybrid for very small workloads where per-slot overhead dominates.
+        // If rows are small or average columns per thread are small, keep single-slot.
+        size_t min_cols_per_thread = 0;
+        if (runtime_count > 0 && nth_total > 0) {
+            min_cols_per_thread = (size_t) std::max<int64_t>(1, (int64_t)ne01 / (int64_t)nth_total);
         }
+        const bool too_small_for_hybrid = (min_cols_per_thread < 2) || (ne11 < 128);
 
-        if (m_start < m) {
-            // Transform LHS
-            const size_t src_stride        = src1->nb[1];
-            const float * src_ptr          = reinterpret_cast<const float *>(lhs + lhs_info->get_offset(m_start, dst->src[1]->nb[1]));
-            const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(m_start, k, QK4_0, mr, kr, sr);
-            void * lhs_packed_ptr          = static_cast<void *>(lhs_packed + lhs_packed_offset);
-
-            // Pack this thread's chunk with m_idx_start = 0 and per-thread output pointer
-            lhs_info->pack_func_ex(m_to_process, k, QK4_0, mr, kr, sr, 0, src_ptr, src_stride, lhs_packed_ptr);
-        }
+        const bool hybrid_enabled = use_hybrid && !too_small_for_hybrid;
 
-        ggml_barrier(params->threadpool);
+        if (!hybrid_enabled) {
+            int chosen_slot = 0;
+            if (too_small_for_hybrid && sme_slot != -1) {
+                chosen_slot = sme_slot;
+            } else if (runtime_count > 1 && ctx.sme_thread_cap > 0 && nth_total > ctx.sme_thread_cap) {
+                chosen_slot = 1;
+            }
+            if (chosen_slot != 0 && chosen_slot < runtime_count) {
+                runtime[0] = runtime[chosen_slot];
+            }
+            runtime_count = runtime_count > 0 ? 1 : 0;
 
-        // Perform the operation
-        const size_t dst_stride        = dst->nb[1];
-        const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(0, k, QK4_0, mr, kr, sr);
-        const size_t rhs_packed_offset = kernel->get_rhs_packed_offset_ex(n_start, k, QK4_0);
-        const size_t dst_offset        = kernel->get_dst_offset(0, n_start, dst_stride);
-        const void * rhs_ptr           = static_cast<const void *>(rhs_packed + rhs_packed_offset);
-        const void* lhs_ptr            = (const void*)((const char *)lhs_packed + lhs_packed_offset);
-        float *dst_ptr                 = reinterpret_cast<float *>(static_cast<uint8_t *>(dst->data) + dst_offset);
+            // Recompute SME slot based on the collapsed runtime[0]
+            sme_slot = -1;
+            if (runtime_count > 0 &&
+                (runtime[0].kernels->required_cpu & CPU_FEATURE_SME) == CPU_FEATURE_SME) {
+                sme_slot = 0;
+            }
+        }
 
-        if (n_to_process > 0) {
-            kernel->run_kernel_ex(m, n_to_process, k, QK4_0, lhs_ptr, rhs_ptr, dst_ptr, dst_stride,
-                               sizeof(float), -FLT_MAX, FLT_MAX);
+        int sme_cap = kleidiai_sme_thread_cap();
+        if (sme_cap < 0) {
+            sme_cap = nth_total;
         }
+        sme_cap = std::min(sme_cap, nth_total);
 
-        return true;
-    }
+        int threads_remaining = nth_total;
+        if (sme_slot != -1) {
+            int sme_threads = std::min(std::max(sme_cap, 0), threads_remaining);
+            runtime[sme_slot].assigned_threads = sme_threads;
+            threads_remaining -= sme_threads;
+        }
 
-    bool compute_forward_q8_0(struct ggml_compute_params * params, struct ggml_tensor * dst) {
-        GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q8_0);
+        int fallback_indices[GGML_KLEIDIAI_MAX_KERNEL_SLOTS];
+        int fallback_count = 0;
+        for (int i = 0; i < runtime_count; ++i) {
+            if (i == sme_slot) {
+                continue;
+            }
+            fallback_indices[fallback_count++] = i;
+        }
 
-        const ggml_tensor * src0 = dst->src[0];
-        const ggml_tensor * src1 = dst->src[1];
+        for (int fi = 0; fi < fallback_count; ++fi) {
+            if (threads_remaining <= 0) {
+                break;
+            }
+            const int slot_index = fallback_indices[fi];
+            const int slots_left = fallback_count - fi;
+            int share = (threads_remaining + slots_left - 1) / slots_left;
+            share     = std::min(share, threads_remaining);
+            runtime[slot_index].assigned_threads = share;
+            threads_remaining -= share;
+        }
 
-        GGML_TENSOR_BINARY_OP_LOCALS
+        if (threads_remaining > 0) {
+            const int fallback_slot = (sme_slot != -1) ? sme_slot : 0;
+            runtime[fallback_slot].assigned_threads += threads_remaining;
+            threads_remaining = 0;
+        }
 
-        ggml_kleidiai_kernels *kernels = ggml_kleidiai_select_kernels(ctx.features, dst);
-        if (!kernels) {
-            return false;
+        int thread_cursor = 0;
+        for (int i = 0; i < runtime_count; ++i) {
+            runtime[i].thread_begin = thread_cursor;
+            thread_cursor += runtime[i].assigned_threads;
+            runtime[i].thread_end = thread_cursor;
         }
 
-        bool is_gemv = src1->ne[1] == 1;
-        kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm;
-        lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info;
+        if (thread_cursor < nth_total && runtime_count > 0) {
+            runtime[runtime_count - 1].assigned_threads += nth_total - thread_cursor;
+            runtime[runtime_count - 1].thread_end = nth_total;
+        }
 
-        if (!kernel || !lhs_info->get_packed_offset_ex || !lhs_info->pack_func_ex ||
-            !kernel->get_rhs_packed_offset_ex || !kernel->run_kernel_ex || !kernel->get_dst_offset) {
+        int local_slot = -1;
+        int local_ith  = 0;
+        for (int i = 0; i < runtime_count; ++i) {
+            if (ith_total >= runtime[i].thread_begin && ith_total < runtime[i].thread_end) {
+                local_slot = i;
+                local_ith  = ith_total - runtime[i].thread_begin;
+                break;
+            }
+        }
+        if (local_slot == -1) {
             return false;
         }
 
-        const int ith = params->ith;
-        const int nth_raw = params->nth;
-        const int nth = nth_raw > 0 ? nth_raw : 1;
-
         const size_t k = ne00;
         const size_t m = ne11;
         const size_t n = ne01;
 
-        size_t mr = kernel->get_mr();
-        size_t kr = kernel->get_kr();
-        size_t sr = kernel->get_sr();
-
-        const uint8_t * lhs        = static_cast<const uint8_t *>(src1->data);
-        uint8_t * lhs_packed       = static_cast<uint8_t *>(params->wdata);
-        const uint8_t * rhs_packed = static_cast<const uint8_t *>(src0->data);
+        size_t cursor = 0;
+        for (int i = 0; i < runtime_count; ++i) {
+            const ggml_type slot_rhs_type = runtime[i].kernels->rhs_type;
+            const size_t slot_pack_size_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 :
+                                              slot_rhs_type == GGML_TYPE_Q8_0 ? QK8_0 : 0;
+            runtime[i].lhs_packed_size = runtime[i].lhs_info->packed_size_ex(m, k, slot_pack_size_arg, runtime[i].mr, runtime[i].kr, runtime[i].sr);
+            cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+            runtime[i].lhs_offset = cursor;
+            cursor += runtime[i].lhs_packed_size;
+        }
 
-        const size_t n_step = kernel->get_n_step();
-        const size_t num_n_per_thread = kai_roundup(kai_roundup(n, nth) / nth, n_step);
-        const size_t n_start = ith * num_n_per_thread;
+        GGML_ASSERT(cursor <= params->wsize);
+        uint8_t * scratch = static_cast<uint8_t *>(params->wdata);
 
-        size_t n_to_process = 0;
-        if (n_start < n) {
-            n_to_process = num_n_per_thread;
-            if ((n_start + n_to_process) > n) {
-                n_to_process = n - n_start;
+        size_t assigned_cols = 0;
+        uint64_t weighted_total = 0;
+        if (runtime_count > 1 && sme_slot != -1) {
+            for (int i = 0; i < runtime_count; ++i) {
+                const uint64_t weight = (i == sme_slot) ? (sme_cap << 1) : 1;
+                weighted_total += (uint64_t)runtime[i].assigned_threads * weight;
             }
         }
+        for (int i = 0; i < runtime_count; ++i) {
+            runtime[i].n_offset = assigned_cols;
+            if (runtime[i].assigned_threads == 0) {
+                runtime[i].n_cols = 0;
+                continue;
+            }
+            const size_t remaining_cols = n - assigned_cols;
+            if (remaining_cols == 0) {
+                runtime[i].n_cols = 0;
+                continue;
+            }
+            const size_t step = runtime[i].n_step ? runtime[i].n_step : 1;
+            size_t target      = 0;
+            if (weighted_total > 0) {
+                const uint64_t weight = (i == sme_slot) ? (sme_cap << 1) : 1;
+                target = (size_t)(((uint64_t)n * runtime[i].assigned_threads * weight) / weighted_total);
+            } else {
+                target = (size_t)(((uint64_t)n * runtime[i].assigned_threads) / nth_total);
+            }
+            target             = std::min(target, remaining_cols);
+            size_t aligned     = round_down(target, step);
+            if (aligned == 0 && remaining_cols >= step) {
+                aligned = step;
+            }
+            runtime[i].n_cols = aligned;
+            assigned_cols += aligned;
+        }
 
-        const size_t num_m_per_thread = kai_roundup(m, mr * nth) / nth;
-        const size_t m_start = ith * num_m_per_thread;
-        size_t m_to_process = num_m_per_thread;
-        if ((m_start + m_to_process) > m) {
-            m_to_process = m - m_start;
+        if (assigned_cols < n) {
+            for (int i = runtime_count - 1; i >= 0; --i) {
+                if (runtime[i].assigned_threads > 0) {
+                    runtime[i].n_cols += n - assigned_cols;
+                    break;
+                }
+            }
         }
+        const size_t dst_stride = dst->nb[1];
 
-        if (m_start < m) {
-            const size_t src_stride        = src1->nb[1];
-            const float * src_ptr          = reinterpret_cast<const float *>(lhs + lhs_info->get_offset(m_start, dst->src[1]->nb[1]));
-            const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(m_start, k, 0, mr, kr, sr);
-            void * lhs_packed_ptr          = static_cast<void *>(lhs_packed + lhs_packed_offset);
+        for (int64_t batch_idx = 0; batch_idx < ne12; ++batch_idx) {
+            const uint8_t * lhs_batch_base = static_cast<const uint8_t *>(src1->data) + batch_idx * src1->nb[2];
+            uint8_t * dst_batch_base = static_cast<uint8_t *>(dst->data) + batch_idx * dst->nb[2];
 
-            lhs_info->pack_func_ex(m_to_process, k, 0, mr, kr, sr, 0, src_ptr, src_stride, lhs_packed_ptr);
-        }
+            if (runtime[local_slot].assigned_threads > 0) {
+                runtime_slot & slot = runtime[local_slot];
+                const ggml_type slot_rhs_type = slot.kernels->rhs_type;
+                const size_t slot_lhs_exec_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 :
+                                                 slot_rhs_type == GGML_TYPE_Q8_0 ? 0 : 0;
+                const int64_t m_roundup_mr = kai_roundup((int64_t)m, (int64_t)slot.mr);
+                int64_t max_threads = slot.mr ? (m_roundup_mr / (int64_t)slot.mr) : slot.assigned_threads;
+                max_threads = std::max<int64_t>(1, max_threads);
+                const int64_t use_threads = std::min<int64_t>(slot.assigned_threads, max_threads);
 
-        ggml_barrier(params->threadpool);
+                if (local_ith < use_threads) {
+                    const int64_t num_m_per_thread0   = round_down((size_t)(m_roundup_mr / use_threads), slot.mr);
+                    const int64_t num_m_per_threadN_1 = (int64_t)m - (use_threads - 1) * num_m_per_thread0;
 
-        const size_t dst_stride        = dst->nb[1];
-        const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(0, k, 0, mr, kr, sr);
-        const size_t rhs_packed_offset = kernel->get_rhs_packed_offset_ex(n_start, k, 0);
-        const size_t dst_offset        = kernel->get_dst_offset(0, n_start, dst_stride);
-        const void * rhs_ptr           = static_cast<const void *>(rhs_packed + rhs_packed_offset);
-        const void * lhs_ptr           = static_cast<const void *>(lhs_packed + lhs_packed_offset);
-        float * dst_ptr                = reinterpret_cast<float *>(static_cast<uint8_t *>(dst->data) + dst_offset);
+                    const int64_t m_start = (int64_t)local_ith * num_m_per_thread0;
+                    const int64_t m_count = (local_ith == use_threads - 1) ? num_m_per_threadN_1 : num_m_per_thread0;
+
+                    const size_t base_packed_off  = slot.lhs_info->get_packed_offset_ex(m_start, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr);
+                    const size_t next_block_off   = slot.lhs_info->get_packed_offset_ex(m_start + slot.mr, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr);
+                    const size_t row_stride_bytes = slot.mr ? (next_block_off - base_packed_off) / slot.mr : 0;
+
+                    int64_t remaining = m_count;
+                    int64_t cur       = m_start;
+
+                    uint8_t * lhs_packed = scratch + slot.lhs_offset;
+                    while (remaining > 0) {
+                        const int64_t row_in_group = cur;
+                        const int64_t avail        = (int64_t)m - row_in_group;
+                        const int64_t take         = std::min(avail, remaining);
+
+                        const size_t src_off = slot.lhs_info->get_offset(row_in_group, src1->nb[1]);
+                        const void * src_ptr = lhs_batch_base + src_off;
+                        const size_t dst_off = base_packed_off + (size_t)(cur - m_start) * row_stride_bytes;
+                        void * dst_ptr       = lhs_packed + dst_off;
+
+                        slot.lhs_info->pack_func_ex(take, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr, 0, src_ptr, src1->nb[1], dst_ptr);
+
+                        cur       += take;
+                        remaining -= take;
+                    }
+                }
+            }
+
+            ggml_barrier(params->threadpool);
 
-        if (n_to_process > 0) {
-            kernel->run_kernel_ex(m, n_to_process, k, 0, lhs_ptr, rhs_ptr, dst_ptr, dst_stride,
-                                  sizeof(float), -FLT_MAX, FLT_MAX);
+            runtime_slot & slot = runtime[local_slot];
+            if (slot.n_cols > 0 && slot.assigned_threads > 0) {
+                int64_t active_threads = slot.assigned_threads;
+                const int64_t max_threads = slot.n_step ? (slot.n_cols / slot.n_step) : slot.assigned_threads;
+                if (max_threads > 0) {
+                    active_threads = std::min<int64_t>(active_threads, std::max<int64_t>(1, max_threads));
+                }
+                active_threads = std::max<int64_t>(1, active_threads);
+
+                if (local_ith < active_threads) {
+                    const size_t step = slot.n_step ? slot.n_step : 1;
+                    const size_t chunk0 = round_down((size_t)(slot.n_cols / active_threads), step);
+                    const size_t chunkN = slot.n_cols - (active_threads - 1) * chunk0;
+                    const size_t local_start = (size_t)local_ith * chunk0;
+                    const size_t cols = (local_ith == active_threads - 1) ? chunkN : chunk0;
+
+                    if (cols > 0) {
+                        const ggml_type slot_rhs_type = slot.kernels->rhs_type;
+                        const size_t slot_lhs_exec_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 :
+                                                         slot_rhs_type == GGML_TYPE_Q8_0 ? 0 : 0;
+                        const size_t slot_rhs_block_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 :
+                                                          slot_rhs_type == GGML_TYPE_Q8_0 ? 0 : 0;
+                        const size_t global_start = slot.n_offset + local_start;
+                        const size_t lhs_packed_offset = slot.lhs_info->get_packed_offset_ex(0, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr);
+                        const size_t rhs_packed_offset = slot.kernel->get_rhs_packed_offset_ex(global_start, k, slot_rhs_block_arg);
+                        const size_t dst_offset        = slot.kernel->get_dst_offset(0, global_start, dst_stride);
+
+                        const uint8_t * lhs_ptr = scratch + slot.lhs_offset + lhs_packed_offset;
+                        const uint8_t * rhs_ptr = slot.rhs_base + rhs_packed_offset;
+                        float * dst_ptr         = reinterpret_cast<float *>(dst_batch_base + dst_offset);
+
+                        slot.kernel->run_kernel_ex(m, cols, k, slot_rhs_block_arg,
+                                                   lhs_ptr,
+                                                   rhs_ptr,
+                                                   dst_ptr,
+                                                   dst_stride,
+                                                   sizeof(float),
+                                                   -FLT_MAX,
+                                                   FLT_MAX);
+                    }
+                }
+            }
+
+            if (batch_idx != ne12 - 1) {
+                ggml_barrier(params->threadpool);
+            }
         }
 
         return true;
     }
 
     bool compute_forward_get_rows(struct ggml_compute_params * params, struct ggml_tensor * dst) {
+        GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q4_0 || dst->src[0]->type == GGML_TYPE_Q8_0);
         const ggml_tensor * src0 = dst->src[0];
         const ggml_tensor * src1 = dst->src[1];
 
         GGML_TENSOR_BINARY_OP_LOCALS
 
+        const kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(src0->data);
+        const bool has_header = kleidiai_is_weight_header_valid(header);
+
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+        const bool want_q8 = src0->type == GGML_TYPE_Q8_0;
+        const int chain_count = want_q8 ? kleidiai_collect_q8_chain(kernel_chain)
+                                        : kleidiai_collect_q4_chain(kernel_chain);
+
         ggml_kleidiai_kernels * kernels = nullptr;
-        size_t block_len = 0;
-        size_t num_bytes_multiplier = 0;
+        const uint8_t * packed_base = static_cast<const uint8_t *>(src0->data);
 
-        if (dst->src[0]->type == GGML_TYPE_Q4_0) {
-            if (!ctx.kernels_q4) {
-                return false;
+        if (has_header && chain_count > 0) {
+            int select_slot = 0;
+            if (select_slot >= header->slot_count) {
+                select_slot = header->slot_count - 1;
             }
-            kernels = ctx.kernels_q4;
-            block_len = QK4_0;
-            num_bytes_multiplier = sizeof(uint16_t);
-        } else if (dst->src[0]->type == GGML_TYPE_Q8_0) {
-            if (!ctx.kernels_q8) {
-                return false;
+            if (select_slot >= 0 && select_slot < chain_count) {
+                kernels = kernel_chain[select_slot];
+                const uint8_t * slot_ptr = kleidiai_weight_slot_ptr(header, select_slot);
+                if (slot_ptr) {
+                    packed_base = slot_ptr;
+                }
             }
-            kernels = ctx.kernels_q8;
-            block_len = QK8_0;
-            num_bytes_multiplier = sizeof(float);
-        } else {
+        }
+
+        if (!kernels && chain_count > 0) {
+            kernels = kernel_chain[0];
+            if (has_header) {
+                const uint8_t * slot_ptr = kleidiai_weight_slot_ptr(header, 0);
+                if (slot_ptr) {
+                    packed_base = slot_ptr;
+                }
+            }
+        }
+
+        if (!kernels) {
             return false;
         }
 
@@ -541,6 +1165,19 @@ class tensor_traits : public ggml::cpu::tensor_traits {
         const int64_t nc     = ne00;
         const int64_t nr     = ggml_nelements(src1);
 
+        const ggml_type rhs_type = kernels->rhs_type;
+        size_t block_len = 0;
+        size_t num_bytes_multiplier = 0;
+        if (rhs_type == GGML_TYPE_Q4_0) {
+            block_len = QK4_0;
+            num_bytes_multiplier = sizeof(uint16_t);
+        } else if (rhs_type == GGML_TYPE_Q8_0) {
+            block_len = QK8_0;
+            num_bytes_multiplier = sizeof(float);
+        } else {
+            return false;
+        }
+
         const size_t block_rows = kernel->get_nr();
         const size_t kr         = kernel->get_kr();
 
@@ -559,7 +1196,7 @@ class tensor_traits : public ggml::cpu::tensor_traits {
             GGML_ASSERT(row_idx >= 0 && row_idx < src0->ne[1]);
 
             float *out = (float *)((char *)dst->data + i * nb1);
-            rhs_info->to_float(src0->data, row_idx, nc, out, block_rows, packed_stride, kr, block_len, num_bytes_multiplier);
+            rhs_info->to_float(packed_base, row_idx, nc, out, block_rows, packed_stride, kr, block_len, num_bytes_multiplier);
         }
 
         return true;
@@ -567,36 +1204,39 @@ class tensor_traits : public ggml::cpu::tensor_traits {
 
 public:
     int repack(struct ggml_tensor * tensor, const void * data, size_t data_size) {
+        GGML_ASSERT(tensor->type == GGML_TYPE_Q4_0 || tensor->type == GGML_TYPE_Q8_0);
         const size_t n = tensor->ne[1];
         const size_t k = tensor->ne[0];
 
-        if (tensor->type == GGML_TYPE_Q4_0) {
-            if (!ctx.kernels_q4) {
-                return -1;
-            }
-            size_t nr = ctx.kernels_q4->gemm.get_nr();
-            size_t kr = ctx.kernels_q4->gemm.get_kr();
-            size_t sr = ctx.kernels_q4->gemm.get_sr();
+        kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(tensor->data);
+        if (!header) {
+            return -1;
+        }
 
-            struct kai_rhs_pack_qs4cxs1s0_param params;
-            params.lhs_zero_point = 1;
-            params.rhs_zero_point = 8;
-            ctx.kernels_q4->rhs_info.pack_func_ex(1, n, k, nr, kr, sr, QK4_0, 0,
-                                                  static_cast<const uint8_t *>(data),
-                                                  nullptr, nullptr, tensor->data, 0, &params);
-            GGML_UNUSED(data_size);
-            return 0;
-        } else if (tensor->type == GGML_TYPE_Q8_0) {
-            if (!ctx.kernels_q8) {
-                return -1;
-            }
+        header->magic      = GGML_KLEIDIAI_PACK_MAGIC;
+        header->version    = GGML_KLEIDIAI_PACK_VERSION;
+        header->slot_count = 0;
+
+        uint8_t * base_ptr = static_cast<uint8_t *>(tensor->data);
+        size_t cursor = sizeof(kleidiai_weight_header);
+        cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+        const bool want_q8 = tensor->type == GGML_TYPE_Q8_0;
+        const int slot_total = want_q8 ? kleidiai_collect_q8_chain(kernel_chain)
+                                       : kleidiai_collect_q4_chain(kernel_chain);
+        const bool allow_fallback = kleidiai_pack_fallback_allowed();
+
+        std::vector<int8_t> qdata;
+        std::vector<float>  scales;
+
+        if (want_q8 && slot_total > 0) {
+            qdata.resize(n * k, 0);
+            scales.resize(n, 0.0f);
 
             const size_t row_stride = tensor->nb[1];
             const size_t k_blocks   = (k + QK8_0 - 1) / QK8_0;
 
-            std::vector<int8_t> qdata(n * k, 0);
-            std::vector<float> scales(n, 0.0f);
-
             for (size_t row = 0; row < n; ++row) {
                 const auto * row_blocks = reinterpret_cast<const block_q8_0 *>(
                     static_cast<const uint8_t *>(data) + row * row_stride);
@@ -610,7 +1250,7 @@ class tensor_traits : public ggml::cpu::tensor_traits {
                         if (linear_idx >= k) {
                             break;
                         }
-                        const float value = d * blk.qs[l];
+                        const float value = d * static_cast<float>(blk.qs[l]);
                         max_abs = std::max(max_abs, std::fabs(value));
                     }
                 }
@@ -627,31 +1267,73 @@ class tensor_traits : public ggml::cpu::tensor_traits {
                         if (linear_idx >= k) {
                             break;
                         }
-                        const float value = d * blk.qs[l];
+                        const float value = d * static_cast<float>(blk.qs[l]);
                         int32_t q = scale > 0.0f ? static_cast<int32_t>(std::lround(value * inv_scale)) : 0;
                         q = std::clamp(q, -127, 127);
                         qdata[row * k + linear_idx] = static_cast<int8_t>(q);
                     }
                 }
             }
+        }
+
+        for (int slot = 0; slot < slot_total && slot < GGML_KLEIDIAI_MAX_KERNEL_SLOTS; ++slot) {
+            if (!allow_fallback && slot > 0) {
+                break;
+            }
+            ggml_kleidiai_kernels * kernels = kernel_chain[slot];
+            kernel_info * kernel = &kernels->gemm;
+            rhs_packing_info * rhs_info = &kernels->rhs_info;
+            if (!rhs_info || !rhs_info->pack_func_ex || !rhs_info->packed_size_ex || !kernel) {
+                continue;
+            }
+
+            const size_t nr = kernel->get_nr();
+            const size_t kr = kernel->get_kr();
+            const size_t sr = kernel->get_sr();
+            const ggml_type rhs_type = kernels->rhs_type;
+            const size_t block_len = rhs_type == GGML_TYPE_Q8_0 ? QK8_0 :
+                                     rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : 0;
+            if (block_len == 0) {
+                continue;
+            }
 
-            size_t nr = ctx.kernels_q8->gemm.get_nr();
-            size_t kr = ctx.kernels_q8->gemm.get_kr();
-            size_t sr = ctx.kernels_q8->gemm.get_sr();
+            const size_t packed_size = rhs_info->packed_size_ex(n, k, nr, kr, block_len);
+            const size_t aligned_cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+
+            uint8_t * dst_ptr = base_ptr + aligned_cursor;
+
+            if (rhs_type == GGML_TYPE_Q4_0) {
+                struct kai_rhs_pack_qs4cxs1s0_param params;
+                params.lhs_zero_point = 1;
+                params.rhs_zero_point = 8;
+                rhs_info->pack_func_ex(1, n, k, nr, kr, sr, QK4_0, 0,
+                                       static_cast<const uint8_t *>(data), nullptr, nullptr,
+                                       dst_ptr, 0, &params);
+            } else if (rhs_type == GGML_TYPE_Q8_0) {
+                struct kai_rhs_pack_qsi8cx_params params;
+                params.lhs_zero_point = 1;
+                params.scale_multiplier = 1.0f;
+                rhs_info->pack_func_ex(1, n, k, nr, kr, sr, 0, 0,
+                                       qdata.data(), nullptr, scales.data(),
+                                       dst_ptr, 0, &params);
+            } else {
+                continue;
+            }
+
+            header->offsets[header->slot_count] = aligned_cursor;
+            header->sizes[header->slot_count]   = packed_size;
+            ++header->slot_count;
 
-            struct kai_rhs_pack_qsi8cx_params params;
-            params.lhs_zero_point = 1;
-            params.scale_multiplier = 1.0f;
+            cursor = aligned_cursor + packed_size;
+        }
 
-            ctx.kernels_q8->rhs_info.pack_func_ex(1, n, k, nr, kr, sr, 0, 0,
-                                                  qdata.data(), nullptr, scales.data(),
-                                                  tensor->data, 0, &params);
-            GGML_UNUSED(data_size);
-            return 0;
+        if (header->slot_count == 0) {
+            header->magic   = 0;
+            header->version = 0;
+            memcpy(tensor->data, data, data_size);
         }
 
-        GGML_UNUSED(data_size);
-        return -1;
+        return 0;
     }
 };
 
@@ -681,9 +1363,8 @@ static void ggml_backend_cpu_kleidiai_buffer_set_tensor(ggml_backend_buffer_t bu
 }
 
 static const char * ggml_backend_cpu_kleidiai_buffer_type_get_name(ggml_backend_buffer_type_t buft) {
-    return "CPU_KLEIDIAI";
-
     GGML_UNUSED(buft);
+    return "CPU_KLEIDIAI";
 }
 
 static ggml_backend_buffer_t ggml_backend_cpu_kleidiai_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
@@ -702,49 +1383,78 @@ static ggml_backend_buffer_t ggml_backend_cpu_kleidiai_buffer_type_alloc_buffer(
 }
 
 static size_t ggml_backend_cpu_kleidiai_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
-    return TENSOR_ALIGNMENT;
-
     GGML_UNUSED(buft);
+    return TENSOR_ALIGNMENT;
 }
 
 static size_t ggml_backend_cpu_kleidiai_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const struct ggml_tensor * tensor) {
     GGML_UNUSED(buft);
 
+    if (tensor->type != GGML_TYPE_Q4_0 && tensor->type != GGML_TYPE_Q8_0) {
+        return ggml_nbytes(tensor);
+    }
+
     const size_t n = tensor->ne[1];
     const size_t k = tensor->ne[0];
 
-    ggml_kleidiai_kernels * kernels = nullptr;
-    size_t block_len = 0;
-
-    if (tensor->type == GGML_TYPE_Q4_0) {
-        GGML_ASSERT(ctx.kernels_q4);
-        kernels = ctx.kernels_q4;
-        block_len = QK4_0;
-    } else if (tensor->type == GGML_TYPE_Q8_0) {
-        GGML_ASSERT(ctx.kernels_q8);
-        kernels = ctx.kernels_q8;
-        block_len = QK8_0;
-    } else {
-        return 0;
+    size_t cursor = sizeof(kleidiai_weight_header);
+    cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+
+    std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+    const bool want_q8 = tensor->type == GGML_TYPE_Q8_0;
+    const int slot_total = want_q8 ? kleidiai_collect_q8_chain(kernel_chain)
+                                   : kleidiai_collect_q4_chain(kernel_chain);
+    const bool allow_fallback = kleidiai_pack_fallback_allowed();
+
+    size_t slot_count = 0;
+    for (int slot = 0; slot < slot_total; ++slot) {
+        if (!allow_fallback && slot > 0) {
+            break;
+        }
+        ggml_kleidiai_kernels * kernels = kernel_chain[slot];
+        if (!kernels) {
+            continue;
+        }
+        kernel_info * kernel = &kernels->gemm;
+        rhs_packing_info * rhs_info = &kernels->rhs_info;
+        if (!kernel || !rhs_info || !rhs_info->packed_size_ex) {
+            continue;
+        }
+
+        const ggml_type rhs_type = kernels->rhs_type;
+        const size_t block_len = rhs_type == GGML_TYPE_Q4_0 ? QK4_0 :
+                                 rhs_type == GGML_TYPE_Q8_0 ? QK8_0 : 0;
+        if (block_len == 0) {
+            continue;
+        }
+
+        cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN);
+        cursor += rhs_info->packed_size_ex(n, k, kernel->get_nr(), kernel->get_kr(), block_len);
+        ++slot_count;
     }
 
-    const size_t nr = kernels->gemm.get_nr();
-    const size_t kr = kernels->gemm.get_kr();
-    const size_t packed = kernels->rhs_info.packed_size_ex(n, k, nr, kr, block_len);
-    const size_t raw     = ggml_nbytes(tensor);
+    if (slot_count == 0) {
+        return ggml_nbytes(tensor);
+    }
 
-    return packed > raw ? packed : raw;
+    return std::max(cursor, ggml_nbytes(tensor));
 }
 
 namespace ggml::cpu::kleidiai {
 class extra_buffer_type : ggml::cpu::extra_buffer_type {
     bool supports_op(ggml_backend_dev_t, const struct ggml_tensor * op) override {
+        std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+        const int slot_total = kleidiai_collect_kernel_chain(op, kernel_chain);
         if ((op->op == GGML_OP_MUL_MAT || op->op == GGML_OP_GET_ROWS) &&
             (op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_Q8_0) &&
             op->src[0]->buffer &&
             (ggml_n_dims(op->src[0]) == 2) &&
-            op->src[0]->buffer->buft == ggml_backend_cpu_kleidiai_buffer_type()) {
-            if (((op->src[0]->type == GGML_TYPE_Q4_0) ? ctx.kernels_q4 : ctx.kernels_q8) == nullptr) {
+            op->src[0]->buffer->buft == ggml_backend_cpu_kleidiai_buffer_type() &&
+            slot_total > 0) {
+            if (op->src[0]->type == GGML_TYPE_Q4_0 && ctx.kernels_q4 == nullptr) {
+                return false;
+            }
+            if (op->src[0]->type == GGML_TYPE_Q8_0 && ctx.kernels_q8 == nullptr) {
                 return false;
             }
             if (op->src[1]->buffer && !ggml_backend_buft_is_host(op->src[1]->buffer->buft)) {
@@ -762,14 +1472,17 @@ class extra_buffer_type : ggml::cpu::extra_buffer_type {
         if (op->op == GGML_OP_MUL_MAT || op->op == GGML_OP_GET_ROWS) {
             if (op->src[0]->buffer && op->src[0]->buffer->buft == ggml_backend_cpu_kleidiai_buffer_type()) {
                 return (ggml::cpu::tensor_traits *) op->src[0]->extra;
-            }
-            else if (ggml_kleidiai_select_kernels(ctx.features, op) && op->src[1]->ne[1] > 1) {
-                if ((op->src[0]->nb[1] * op->src[0]->ne[1] != op->src[0]->nb[2]) ||
-                    (op->src[1]->nb[1] * op->src[1]->ne[1] != op->src[1]->nb[2])) {
-                    return nullptr;
+            } else {
+                std::array<ggml_kleidiai_kernels *, GGML_KLEIDIAI_MAX_KERNEL_SLOTS> kernel_chain;
+                const int slot_total = kleidiai_collect_kernel_chain(op, kernel_chain);
+                const bool has_kernel = slot_total > 0;
+                if (has_kernel && op->src[1]->ne[1] > 1) {
+                    if ((op->src[0]->nb[1] * op->src[0]->ne[1] != op->src[0]->nb[2]) ||
+                        (op->src[1]->nb[1] * op->src[1]->ne[1] != op->src[1]->nb[2])) {
+                        return nullptr;
+                    }
+                    return ggml::cpu::kleidiai::get_tensor_traits(NULL, NULL);
                 }
-
-                return ggml::cpu::kleidiai::get_tensor_traits(NULL, NULL);
             }
         }
         return nullptr;
diff --git a/ggml/src/ggml-cpu/llamafile/sgemm-ppc.h b/ggml/src/ggml-cpu/llamafile/sgemm-ppc.h
deleted file mode 100644
index a7078687288..00000000000
--- a/ggml/src/ggml-cpu/llamafile/sgemm-ppc.h
+++ /dev/null
@@ -1,333 +0,0 @@
-#pragma once
-
-typedef vector unsigned char vec_t;
-typedef __vector_quad acc_t;
-
-template <typename TA>
-class tinyBLAS_Q0_PPC {
-  public:
-    tinyBLAS_Q0_PPC(int64_t k,
-                    const TA *A, int64_t lda,
-                    const block_q8_0 *B, int64_t ldb,
-                    float *C, int64_t ldc,
-                    int ith, int nth);
-
-    void matmul(int64_t m, int64_t n);
-    void matmul_tiled_q0(int64_t m, int64_t n, int64_t mc, int64_t nc, int64_t kc) {
-        vec_t A_pack[mc*kc*2];
-        vec_t B_pack[nc*kc*2];
-        int comparray[mc*kc];
-        constexpr bool is_Ablock_q4 = std::is_same_v<TA, block_q4_0>;
-        int64_t ytiles = m / mc;
-        int64_t xtiles = n / nc;
-        int64_t tiles  = xtiles * ytiles;
-        int64_t duty = (tiles + nth - 1) / nth;
-        int64_t start = duty * ith;
-        int64_t end = start + duty;
-        if (end > tiles) {
-            end = tiles;
-        }
-        for (int64_t job = start; job < end; ++job) {
-            int64_t ii = (job / xtiles) * mc;
-            int64_t jj = (job % xtiles) * nc;
-            for (int64_t kk = 0; kk < k; kk += kc) {
-                if constexpr(is_Ablock_q4) {
-                    packNormalInt4_large(A + ii*lda + kk, lda, mc, 4, (int8_t*)A_pack, comparray);
-                } else {
-                    packNormal_large<int8_t, vector signed char>(A + ii*lda + kk, lda, mc, 8, (int8_t*)A_pack, false, comparray);
-                }
-                packNormal_large<uint8_t, vector unsigned char>(B + jj*ldb + kk, ldb, nc, 8, (uint8_t*)B_pack, true);
-                KERNEL_Q0(ii, jj, mc, nc, kc, kk, A_pack, B_pack, comparray);
-            }
-        }
-    }
-
-  private:
-    inline void save_res(int ii, int jj, int idx, vector float* fin_res, int RM=4, int RN=4) {
-        for (int I = 0; I < RM; I++) {
-            for (int J = 0; J < RN; J++) {
-                *((float*)(C+ii+((jj+J)*ldc)+I)) = *((float*)&fin_res[idx+I]+J);
-            }
-        }
-    }
-
-    inline void add_save_res(int ii, int jj, int idx, vector float* fin_res, int RM=4, int RN=4) {
-        for (int I = 0; I < RM; I++) {
-            for (int J = 0; J < RN; J++) {
-                float * c_ptr = (float *)(C+ii+((jj+J)*ldc)+I);
-                *c_ptr += *((float*)&fin_res[idx+I]+J);
-            }
-        }
-    }
-
-    template<typename ArrayType>
-    inline void compute(acc_t* ACC, int c_idx, int s_idx, ArrayType& comparray, vector float* vs, vector float* fin_res) {
-        vector signed int vec_C[4];
-        vector float CA[4] = {0};
-        vector float res[4] = {0};
-        __builtin_mma_disassemble_acc(vec_C, ACC);
-        for (int i = 0; i < 4; i++) {
-            CA[i] = vec_splats((float)(((double)comparray[c_idx+i]) * -128.0));
-            res[i] = vec_add(vec_ctf(vec_C[i], 0), CA[i]);
-            fin_res[s_idx+i] = vec_madd(res[i], vs[s_idx+i], fin_res[s_idx+i]);
-        }
-    }
-
-    inline void process_q4_elements(vector signed char (&c)[2], int* ca) {
-        const vector signed char lowMask = vec_splats((signed char)0xF);
-        const vector unsigned char v4 = vec_splats((unsigned char)0x4);
-        const vector signed char v8 = vec_splats((signed char)0x8);
-        vector signed int vsum = {0};
-        vector signed int vsum2 = {0};
-        c[0] = vec_and(c[1], lowMask);
-        c[1] = vec_sr(c[1], v4);
-        c[0] = vec_sub(c[0], v8);
-        c[1] = vec_sub(c[1], v8);
-        vsum = vec_sum4s(c[0], vsum);
-        vsum2 = vec_sum4s(c[1], vsum2);
-        vsum = vec_add(vsum, vsum2);
-        *(ca) = vsum[0] + vsum[1] + vsum[2] + vsum[3];
-    }
-
-    template <typename V1, typename V2>
-    inline void vector_permute_store(V2 &s1, V2 &s2, V2 &s3, V2 &s4, V1 *vecOffset, bool flip) {
-        vector unsigned char swiz1 = {0, 1, 2, 3, 4, 5, 6, 7, 16, 17, 18, 19, 20, 21, 22, 23};
-        vector unsigned char swiz2 = {8, 9, 10, 11, 12, 13, 14, 15, 24, 25, 26, 27, 28, 29, 30, 31};
-        vector unsigned char swiz3 = {0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27};
-        vector unsigned char swiz4 = {4, 5, 6, 7, 12, 13, 14, 15, 20, 21, 22, 23, 28, 29, 30, 31};
-        V2 t1, t2, t3, t4, t5, t6, t7, t8;
-        vector unsigned char xor_vector;
-        uint8_t flip_vec = 0x80;
-        xor_vector = vec_splats(flip_vec);
-        t1 = vec_perm(s1, s2, swiz1);
-        t2 = vec_perm(s1, s2, swiz2);
-        t3 = vec_perm(s3, s4, swiz1);
-        t4 = vec_perm(s3, s4, swiz2);
-        t5 = vec_perm(t1, t3, swiz3);
-        t6 = vec_perm(t1, t3, swiz4);
-        t7 = vec_perm(t2, t4, swiz3);
-        t8 = vec_perm(t2, t4, swiz4);
-        if (flip == true) {
-            t5 = vec_xor(t5, xor_vector);
-            t6 = vec_xor(t6, xor_vector);
-            t7 = vec_xor(t7, xor_vector);
-            t8 = vec_xor(t8, xor_vector);
-        }
-        vec_xst(t5, 0, vecOffset);
-        vec_xst(t6, 0, vecOffset+16);
-        vec_xst(t7, 0, vecOffset+32);
-        vec_xst(t8, 0, vecOffset+48);
-    }
-
-    template<int RM, int RN>
-    inline void kernel(int64_t ii, int64_t jj) {
-        if constexpr(RM == 4 && RN == 8) {
-            KERNEL_4x8(ii,jj);
-        } else if constexpr(RM == 8 && RN == 4) {
-            KERNEL_8x4(ii,jj);
-        } else if constexpr(RM == 8 && RN == 8) {
-            KERNEL_8x8(ii,jj);
-        } else {
-            assert(false && "RN/RM values not supported");
-        }
-    }
-    template<int size>
-    void packNormalInt4(const TA* a, int64_t lda, int rows, int cols, int8_t* vec, std::array<int, size>& comparray);
-    template<typename VA, typename VB>
-    void packNormal(const block_q8_0* a, int64_t lda, int rows, int cols, VA* vec, bool flip);
-    void mnpack(int64_t m0, int64_t m, int64_t n0, int64_t n);
-    void KERNEL_4x8(int64_t ii, int64_t jj);
-    void KERNEL_8x4(int64_t ii, int64_t jj);
-    void KERNEL_8x8(int64_t ii, int64_t jj);
-    void gemm_small(int64_t m0, int64_t m, int64_t n0, int64_t n, int RM, int RN);
-    template <int RM, int RN>
-    void gemm(int64_t m0, int64_t m, int64_t n0, int64_t n);
-
-    void compute_scale(int64_t ii, int64_t jj, int blk, vector float* vs){
-        for (int I = 0; I<8; I++) {
-            float a_scale = unhalf((A+((ii+I)*lda)+blk)->d);
-            for (int J = 0; J<4; J++) {
-                *((float*)&vs[I]+J) = (a_scale * unhalf((B+((jj+J)*ldb)+blk)->d));
-                *((float*)&vs[I+8]+J) = (a_scale * unhalf((B+((jj+J+4)*ldb)+blk)->d));
-             }
-         }
-    }
-
-    inline void process_q8_elements(const int8_t *qs, int *ca) {
-        vector signed char c1 = vec_xl(0, qs);
-        vector signed char c2 = vec_xl(16, qs);
-        vector signed int vsum1 = {0};
-        vector signed int vsum2 = {0};
-        vsum1 = vec_sum4s(c1, vsum1);
-        vsum2 = vec_sum4s(c2, vsum2);
-        vector signed int vsum = vec_add(vsum1, vsum2);
-        *ca = vsum[0] + vsum[1] + vsum[2] + vsum[3];
-    }
-
-    template<typename VA, typename VB>
-    void packNormal_large(const block_q8_0* a, int64_t lda, int rows, int cols, VA* vec, bool flip, int* comparray=nullptr) {
-        int64_t i, j;
-        block_q8_0 *aoffset = NULL;
-        VA *vecOffset = NULL;
-        block_q8_0* aoffsets[8];
-        __vector_pair arr[8];
-        VB c[8][2] = {0};
-        VB c1[8] = {0}; VB c2[8] = {0};
-        aoffset = const_cast<block_q8_0*>(a);
-        vecOffset = vec;
-        j = (rows >> 3);
-        int index = 0;
-        if (j > 0) {
-            do {
-                for (int it = 0; it < 8; it++)
-                    aoffsets[it] = aoffset + it*lda;
-                aoffset += 8 * lda;
-                for (int blk = 0; blk < kc; blk++) {
-                    for (int it = 0; it < 8; it++) {
-                        arr[it] = __builtin_vsx_lxvp(0, (__vector_pair*)(aoffsets[it]+blk)->qs);
-                        __builtin_vsx_disassemble_pair(c[it], &arr[it]);
-                        c1[it] = c[it][0];
-                        c2[it] = c[it][1];
-                        if (comparray){
-                            process_q8_elements((aoffsets[it]+ blk)->qs, &comparray[index + 8*blk + it]);
-                        }
-                    }
-                    vector_permute_store<VA, VB>(c1[0], c1[1], c1[2], c1[3], vecOffset, flip);
-                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset+64, flip);
-                    vector_permute_store<VA, VB>(c1[4], c1[5], c1[6], c1[7], vecOffset+128, flip);
-                    vector_permute_store<VA, VB>(c2[4], c2[5], c2[6], c2[7], vecOffset+192, flip);
-                    vecOffset += 256;
-                }
-                j--;
-                index += 8*kc;
-            } while(j > 0);
-        }
-
-    }
-
-    void packNormalInt4_large(const TA* a, int64_t lda, int rows, int cols, int8_t* vec, int*comparray) {
-        int64_t i, j;
-        TA *aoffset = NULL;
-        int8_t *vecOffset = NULL;
-        TA *aoffset1 = NULL, *aoffset2 = NULL, *aoffset3 = NULL, *aoffset4 = NULL;
-        TA *aoffset5 = NULL, *aoffset6 = NULL, *aoffset7 = NULL, *aoffset8 = NULL;
-        vector signed char c1[2] = {0}, c2[2] = {0}, c3[2] = {0}, c4[2] = {0};
-        vector signed char c5[2] = {0}, c6[2] = {0}, c7[2] = {0}, c8[2] = {0};
-        aoffset = const_cast<TA*>(a);
-        vecOffset = vec;
-        int index = 0;
-        j = (rows >> 3);
-        if (j > 0) {
-            do {
-                aoffset1 = aoffset;
-                aoffset2 = aoffset1 + lda;
-                aoffset3 = aoffset2 + lda;
-                aoffset4 = aoffset3 + lda;
-                aoffset5 = aoffset4 + lda;
-                aoffset6 = aoffset5 + lda;
-                aoffset7 = aoffset6 + lda;
-                aoffset8 = aoffset7 + lda;
-                aoffset += 8 * lda;
-                for (int blk = 0; blk < kc; blk++) {
-                    c1[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset1+blk)->qs));
-                    c2[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset2+blk)->qs));
-                    c3[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset3+blk)->qs));
-                    c4[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset4+blk)->qs));
-                    c5[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset5+blk)->qs));
-                    c6[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset6+blk)->qs));
-                    c7[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset7+blk)->qs));
-                    c8[1] = reinterpret_cast<vector signed char>(vec_xl(0, (aoffset8+blk)->qs));
-
-                    process_q4_elements(c1, &comparray[index + 8*blk+0]);
-                    process_q4_elements(c2, &comparray[index + 8*blk+1]);
-                    process_q4_elements(c3, &comparray[index + 8*blk+2]);
-                    process_q4_elements(c4, &comparray[index + 8*blk+3]);
-                    process_q4_elements(c5, &comparray[index + 8*blk+4]);
-                    process_q4_elements(c6, &comparray[index + 8*blk+5]);
-                    process_q4_elements(c7, &comparray[index + 8*blk+6]);
-                    process_q4_elements(c8, &comparray[index + 8*blk+7]);
-                    vector_permute_store<int8_t, vector signed char>(c1[0], c2[0], c3[0], c4[0], vecOffset, false);
-                    vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset+64, false);
-                    vector_permute_store<int8_t, vector signed char>(c5[0], c6[0], c7[0], c8[0], vecOffset+128, false);
-                    vector_permute_store<int8_t, vector signed char>(c5[1], c6[1], c7[1], c8[1], vecOffset+192, false);
-                    vecOffset += 256;
-                }
-                j--;
-                index += 8*kc;
-            } while (j > 0);
-        }
-    }
-
-    void KERNEL_Q0(int64_t ii, int64_t jj, int64_t mc, int64_t nc, int64_t kc, int64_t l, vec_t *vec_A, vec_t *vec_B, int *comparray) {
-        acc_t acc[8];
-        for (int i = 0; i < mc ; i += 8) {
-            for (int j = 0; j < nc; j += 8) {
-                vector float fin_res[16] = {0};
-                vector float vs[16] = {0};
-                for (int64_t kk = 0; kk < kc; kk+=2) {
-                    for (int x = 0; x < 8; x++) {
-                        __builtin_mma_xxsetaccz(&acc[x]);
-                    }
-                    int A_block_idx = (i/8)*(16*kc) + kk*16;
-                    int B_block_idx = (j/8)*(16*kc)+ kk*16;
-                    vec_t *A_block = &vec_A[A_block_idx];
-                    vec_t *B_block = &vec_B[B_block_idx];
-                    for (int x = 0; x < 8; x++) {
-                        __builtin_mma_xvi8ger4pp(&acc[0], A_block[x],     B_block[x]);
-                        __builtin_mma_xvi8ger4pp(&acc[1], A_block[x + 8], B_block[x]);
-                        __builtin_mma_xvi8ger4pp(&acc[2], A_block[x],     B_block[x+8]);
-                        __builtin_mma_xvi8ger4pp(&acc[3], A_block[x+8],   B_block[x+8]);
-                    }
-                    compute_scale(ii+i, jj+j, l+kk, vs);
-                    int c_index = (i/8)*(8*kc)+ kk*8;
-                    int* c_block = &comparray[c_index];
-                    compute(&acc[0], 0,  0,  c_block, vs, fin_res);
-                    compute(&acc[1], 4,  4,  c_block, vs, fin_res);
-                    compute(&acc[2], 0,  8,  c_block, vs, fin_res);
-                    compute(&acc[3], 4, 12,  c_block, vs, fin_res);
-
-                    A_block_idx = (i/8)*(16*kc) + (kk+1)*16;
-                    B_block_idx = (j/8)*(16*kc)+ (kk+1)*16;
-                    A_block = &vec_A[A_block_idx];
-                    B_block = &vec_B[B_block_idx];
-                    for (int x = 0; x < 8; x++) {
-                        __builtin_mma_xvi8ger4pp(&acc[4], A_block[x],     B_block[x]);
-                        __builtin_mma_xvi8ger4pp(&acc[5], A_block[x + 8], B_block[x]);
-                        __builtin_mma_xvi8ger4pp(&acc[6], A_block[x],     B_block[x+8]);
-                        __builtin_mma_xvi8ger4pp(&acc[7], A_block[x+8],   B_block[x+8]);
-                    }
-                    compute_scale(ii+i, jj+j, l+kk+1, vs);
-                    c_index = (i/8)*(8*kc)+ (kk+1)*8;
-                    c_block = &comparray[c_index];
-                    compute(&acc[4], 0,  0,  c_block, vs, fin_res);
-                    compute(&acc[5], 4,  4,  c_block, vs, fin_res);
-                    compute(&acc[6], 0,  8,  c_block, vs, fin_res);
-                    compute(&acc[7], 4, 12,  c_block, vs, fin_res);
-
-                }
-                if (l == 0) {
-                    save_res(ii+i,   jj+j,    0,  fin_res);
-                    save_res(ii+i+4, jj+j,    4,  fin_res);
-                    save_res(ii+i,   jj+j+4,  8,  fin_res);
-                    save_res(ii+i+4, jj+j+4, 12,  fin_res);
-                } else {
-                    add_save_res(ii+i,   jj+j,    0,  fin_res);
-                    add_save_res(ii+i+4, jj+j,    4,  fin_res);
-                    add_save_res(ii+i,   jj+j+4,  8,  fin_res);
-                    add_save_res(ii+i+4, jj+j+4, 12,  fin_res);
-                }
-            }
-        }
-    }
-
-    const TA *const A;
-    const block_q8_0 *const B;
-    float *C;
-    const int64_t k;
-    int64_t kc;
-    const int64_t lda;
-    const int64_t ldb;
-    const int64_t ldc;
-    const int ith;
-    const int nth;
-};
diff --git a/ggml/src/ggml-cpu/llamafile/sgemm.cpp b/ggml/src/ggml-cpu/llamafile/sgemm.cpp
index 8f980c16b96..c89e5076f26 100644
--- a/ggml/src/ggml-cpu/llamafile/sgemm.cpp
+++ b/ggml/src/ggml-cpu/llamafile/sgemm.cpp
@@ -121,7 +121,8 @@ inline float32x4_t mul(float32x4_t x, float32x4_t y) { return vec_mul(x, y); }
 #endif
 
 #if defined(__MMA__)
-#include "sgemm-ppc.h"
+typedef vector unsigned char vec_t;
+typedef __vector_quad acc_t;
 #endif
 ////////////////////////////////////////////////////////////////////////////////////////////////////
 // VECTORIZED FUSED MULTIPLY ADD
@@ -532,7 +533,7 @@ class tinyBLAS {
         if constexpr (RN > 1) {
             return mnpack<RM, RN-1, BM>(m, n, SIZE_N, BN);
         } else {
-            GGML_LOG_ERROR("mnpack<%d, %d> bloc size not supported\n", RM, (int)SIZE_N);
+            GGML_LOG_ERROR("mnpack<%d, %d> block size not supported\n", RM, (int)SIZE_N);
             GGML_ASSERT(false); // we have miss something.
         }
     }
@@ -710,7 +711,7 @@ class tinyBLAS_RVV {
         if constexpr (RN > 1) {
             return mnpack<RM, RN-1, BM>(m, n, SIZE_N, BN);
         } else {
-            GGML_LOG_ERROR("mnpack<%d, %d> bloc size not supported\n", RM, (int)SIZE_N);
+            GGML_LOG_ERROR("mnpack<%d, %d> block size not supported\n", RM, (int)SIZE_N);
             GGML_ASSERT(false); // we have miss something.
         }
     }
@@ -2153,7 +2154,7 @@ class tinyBLAS_HP16_PPC {
             packNormal((B+(jj*ldb)+l), ldb, 8, 4, (uint8_t*)vec_B);
             for (int x = 0; x < 4; x++) {
                 mma_instr<TA>::outer_product(&acc_0, vec_A[x], vec_B[x]);
-                mma_instr<TA>::outer_product(&acc_1, vec_A[x], vec_B[x+4]);
+                mma_instr<TA>::outer_product(&acc_1, vec_A[x+4], vec_B[x]);
             }
         }
         SAVE_ACC(&acc_0, ii, jj);
@@ -2301,43 +2302,299 @@ class tinyBLAS_HP16_PPC {
     const int nth;
 };
 
-    template <typename TA>
-    tinyBLAS_Q0_PPC<TA>::tinyBLAS_Q0_PPC(int64_t k,
-        const TA *A, int64_t lda,
-        const block_q8_0 *B, int64_t ldb,
-        float *C, int64_t ldc,
-        int ith, int nth)
+template <typename TA>
+class tinyBLAS_Q0_PPC {
+  public:
+    tinyBLAS_Q0_PPC(int64_t k,
+             const TA * A, int64_t lda,
+             const block_q8_0 * B, int64_t ldb,
+             float * C, int64_t ldc,
+             int ith, int nth)
         : A(A), B(B), C(C), k(k), lda(lda), ldb(ldb), ldc(ldc), ith(ith), nth(nth) {
-                kc = 64;
     }
 
-    template<typename TA>
-    void tinyBLAS_Q0_PPC<TA>::matmul(int64_t m, int64_t n) {
-        int mc = 64; int nc = 64;
-        if (n % 8 == 0 && n < nc) {
-                nc = n;
-                mc = 32 ;
-                kc = 32;
-        }
-        const bool is_aligned = ((m & (mc - 1)) == 0) & ((n & (nc - 1)) == 0) & ((k & (kc - 1)) == 0);
-        if (is_aligned) {
-            this->matmul_tiled_q0(m, n, mc, nc, kc);
+    void matmul(int64_t m, int64_t n) {
+        const int64_t mc = 64;
+        const int64_t kc = 64;
+        int64_t nc = 64;
+        int64_t n_aligned = 0;
+        if (n % 64 == 0) {
+            n_aligned = n;
+        } else if (n == 4) {
+            n_aligned = 4;
+        } else if (n < 64) {
+            n_aligned = (n / 8) * 8;
+        } else {
+            n_aligned = (n / 64) * 64;
+        }
+
+        if (n_aligned > 0) {
+            if (n_aligned % 64 == 0)      nc = 64;
+            else if (n_aligned == n)      nc = n;
+            else if (n_aligned % 32 == 0) nc = 32;
+            else if (n_aligned % 24 == 0) nc = 24;
+            else if (n_aligned % 16 == 0) nc = 16;
+            else                          nc = 8;
+        }
+        bool can_use_tiled = n_aligned > 0 && (m % mc == 0) && (k % kc == 0);
+        if (can_use_tiled) {
+            matmul_tiled(m, n_aligned, mc, nc, kc);
+            if (n > n_aligned) {
+                mnpack(0, m, n_aligned, n);
+            }
         } else {
             mnpack(0, m, 0, n);
         }
     }
 
-   template<typename TA>
-   template<int size>
-   void tinyBLAS_Q0_PPC<TA>::packNormalInt4(const TA* a, int64_t lda, int rows, int cols, int8_t* vec, std::array<int, size>& comparray) {
+  private:
+    inline void save_res(int ii, int jj, int idx, vector float * fin_res, int RM = 4, int RN = 4) {
+        for (int I = 0; I < RM; I++) {
+            for (int J = 0; J < RN; J++) {
+                *((float *)(C + ii + ((jj + J) * ldc) + I)) = *((float *)&fin_res[idx + I] + J);
+            }
+        }
+    }
+
+    inline void save_acc(acc_t * ACC, int64_t ii, int64_t jj) {
+        vec_t vec_C[4];
+        __builtin_mma_disassemble_acc(vec_C, ACC);
+        for (int I = 0; I < 4; I++) {
+            for (int J = 0; J < 4; J++) {
+                *((float *)(C + ii + ((jj + J) * ldc) + I)) = *((float *)&vec_C[I] + J);
+            }
+        }
+    }
+
+    inline void add_save_acc(acc_t * ACC, int64_t ii, int64_t jj) {
+        vec_t vec_C[4];
+        __builtin_mma_disassemble_acc(vec_C, ACC);
+        for (int I = 0; I < 4; I++) {
+            for (int J = 0; J < 4; J++) {
+                float * c_ptr = (float *)(C + ii+ ((jj + J) * ldc) + I);
+                *c_ptr += *((float *)&vec_C[I] + J);
+            }
+        }
+    }
+
+    template<typename ArrayType>
+    inline void compute(acc_t * ACC, int c_idx, int s_idx, ArrayType & comparray, vector float * vs, vector float * fin_res) {
+        vector signed int vec_C[4];
+        vector float CA[4] = {0};
+        vector float res[4] = {0};
+        __builtin_mma_disassemble_acc(vec_C, ACC);
+        for (int i = 0; i < 4; i++) {
+            CA[i] = vec_splats((float)(((double)comparray[c_idx + i]) * -128.0));
+            res[i] = vec_add(vec_ctf(vec_C[i], 0), CA[i]);
+            fin_res[s_idx + i] = vec_madd(res[i], vs[s_idx + i], fin_res[s_idx + i]);
+        }
+    }
+
+    inline void process_q4_elements(vector signed char (&c)[2], int * ca) {
+        const vector signed char lowMask = vec_splats((signed char)0xF);
+        const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+        const vector signed char v8 = vec_splats((signed char)0x8);
+        vector signed int vsum = {0};
+        vector signed int vsum2 = {0};
+        c[0] = vec_and(c[1], lowMask);
+        c[1] = vec_sr(c[1], v4);
+        c[0] = vec_sub(c[0], v8);
+        c[1] = vec_sub(c[1], v8);
+        vsum = vec_sum4s(c[0], vsum);
+        vsum2 = vec_sum4s(c[1], vsum2);
+        vsum = vec_add(vsum, vsum2);
+        *(ca) = vsum[0] + vsum[1] + vsum[2] + vsum[3];
+    }
+
+    template <typename V1, typename V2>
+    inline void vector_permute_store(V2 & s1, V2 & s2, V2 & s3, V2 & s4, V1 * vecOffset, bool flip) {
+        vector unsigned char swiz1 = {0, 1, 2, 3, 4, 5, 6, 7, 16, 17, 18, 19, 20, 21, 22, 23};
+        vector unsigned char swiz2 = {8, 9, 10, 11, 12, 13, 14, 15, 24, 25, 26, 27, 28, 29, 30, 31};
+        vector unsigned char swiz3 = {0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27};
+        vector unsigned char swiz4 = {4, 5, 6, 7, 12, 13, 14, 15, 20, 21, 22, 23, 28, 29, 30, 31};
+        V2 t1, t2, t3, t4, t5, t6, t7, t8;
+        vector unsigned char xor_vector;
+        uint8_t flip_vec = 0x80;
+        xor_vector = vec_splats(flip_vec);
+        t1 = vec_perm(s1, s2, swiz1);
+        t2 = vec_perm(s1, s2, swiz2);
+        t3 = vec_perm(s3, s4, swiz1);
+        t4 = vec_perm(s3, s4, swiz2);
+        t5 = vec_perm(t1, t3, swiz3);
+        t6 = vec_perm(t1, t3, swiz4);
+        t7 = vec_perm(t2, t4, swiz3);
+        t8 = vec_perm(t2, t4, swiz4);
+        if (flip == true) {
+            t5 = vec_xor(t5, xor_vector);
+            t6 = vec_xor(t6, xor_vector);
+            t7 = vec_xor(t7, xor_vector);
+            t8 = vec_xor(t8, xor_vector);
+        }
+        vec_xst(t5, 0, vecOffset);
+        vec_xst(t6, 0, vecOffset + 16);
+        vec_xst(t7, 0, vecOffset + 32);
+        vec_xst(t8, 0, vecOffset + 48);
+    }
+
+    inline void unpack_q4_to_q8(vector signed char packed, vector signed char & lo, vector signed char & hi) {
+        const vector signed char lowMask = vec_splats((signed char)0x0F);
+        const vector signed char v8      = vec_splats((signed char)0x08);
+        const vector unsigned char v4    = vec_splats((unsigned char)4);
+        lo = vec_and(packed, lowMask);
+        hi = vec_sr(packed, v4);
+        lo = vec_sub(lo, v8);
+        hi = vec_sub(hi, v8);
+    }
+
+    inline void vector_permute_store_fp16(vec_t * c, unsigned char * vecOffset) {
+        vec_t t[8], s[8];
+        vec_t swiz1 = {0, 1, 2, 3, 16, 17, 18, 19, 4, 5, 6, 7, 20, 21, 22, 23};
+        vec_t swiz2 = {8, 9, 10, 11, 24, 25, 26, 27, 12, 13, 14, 15, 28, 29, 30, 31};
+        vec_t swiz3 = {0, 1, 2, 3, 4, 5, 6, 7, 16, 17, 18, 19, 20, 21, 22, 23};
+        vec_t swiz4 = {8, 9, 10, 11, 12, 13, 14, 15, 24, 25, 26, 27, 28, 29, 30, 31};
+        for (int i = 0; i < 4; i += 2) {
+            t[i + 0] = vec_perm(c[i + 0], c[i + 1], swiz1);
+            t[i + 1] = vec_perm(c[i + 0], c[i + 1], swiz2);
+        }
+        for (int i = 4; i < 8; i += 2) {
+            t[i + 0] = vec_perm(c[i + 0], c[i + 1], swiz1);
+            t[i + 1] = vec_perm(c[i + 0], c[i + 1], swiz2);
+        }
+        s[0] = vec_perm(t[0], t[2], swiz3);
+        s[1] = vec_perm(t[0], t[2], swiz4);
+        s[2] = vec_perm(t[1], t[3], swiz3);
+        s[3] = vec_perm(t[1], t[3], swiz4);
+        s[4] = vec_perm(t[4], t[6], swiz3);
+        s[5] = vec_perm(t[4], t[6], swiz4);
+        s[6] = vec_perm(t[5], t[7], swiz3);
+        s[7] = vec_perm(t[5], t[7], swiz4);
+        for (int i = 0; i < 8; ++i) {
+            vec_xst(s[i], 0, (vec_t *)(vecOffset + i * 16));
+        }
+    }
+
+    static inline void convert_and_scale_q8(vector signed char raw, vector float v_scale, vector unsigned short & out_hi, vector unsigned short & out_lo) {
+        vector signed short i16_hi = vec_unpackh(raw);
+        vector signed short i16_lo = vec_unpackl(raw);
+
+        vector float f_hi_h = vec_ctf(vec_unpackh(i16_hi), 0);
+        vector float f_hi_l = vec_ctf(vec_unpackl(i16_hi), 0);
+        vector float f_lo_h = vec_ctf(vec_unpackh(i16_lo), 0);
+        vector float f_lo_l = vec_ctf(vec_unpackl(i16_lo), 0);
+        out_hi = vec_pack_to_short_fp32(vec_mul(f_hi_h, v_scale), vec_mul(f_hi_l, v_scale));
+        out_lo = vec_pack_to_short_fp32(vec_mul(f_lo_h, v_scale), vec_mul(f_lo_l, v_scale));
+    }
+
+    void packNormal_q4_fp16(const block_q4_0 * a, int64_t lda, int rows, int blocks, unsigned char * vec) {
+        unsigned char * vecOffset = vec;
+        for (int i = 0; i < rows; i += 8) {
+            const block_q4_0 * rows_base[8];
+            for (int r = 0; r < 8; r++) {
+                rows_base[r] = a + (i + r) * lda;
+            }
+            for (int blk = 0; blk < blocks; blk++) {
+                vector unsigned short hp_res[8][4];
+                for (int r = 0; r < 8; r++) {
+                    const block_q4_0 * current_blk = rows_base[r] + blk;
+                    vector float v_scale = vec_extract_fp32_from_shorth(vec_splats(current_blk->d));
+                    vector signed char v_qs = vec_xl(0, (const vector signed char *)current_blk->qs);
+                    vector signed char c1, c2;
+                    unpack_q4_to_q8(v_qs, c1, c2);
+                    convert_and_scale_q8(c1, v_scale, hp_res[r][0], hp_res[r][1]);
+                    convert_and_scale_q8(c2, v_scale, hp_res[r][2], hp_res[r][3]);
+                }
+                for (int c = 0; c < 4; c++) {
+                    vector unsigned char c_arr[8];
+                    for (int r = 0; r < 8; r++) {
+                        c_arr[r] = (vector unsigned char)hp_res[r][c];
+                    }
+                    vector_permute_store_fp16((vec_t *)c_arr, vecOffset);
+                    vecOffset += 128;
+                }
+            }
+        }
+    }
+
+    template <int chunk_size>
+    static inline void pack_q8_block(const block_q8_0 * a, int64_t lda, int rows, int blocks, unsigned char * vec) {
+        unsigned char * vecOffset = vec;
+        const vec_t swiz1 = {0, 1, 2, 3, 16, 17, 18, 19, 4, 5, 6, 7, 20, 21, 22, 23};
+        const vec_t swiz2 = {8, 9, 10, 11, 24, 25, 26, 27, 12, 13, 14, 15, 28, 29, 30, 31};
+        const vec_t swiz3 = {0, 1, 2, 3, 4, 5, 6, 7, 16, 17, 18, 19, 20, 21, 22, 23};
+        const vec_t swiz4 = {8, 9, 10, 11, 12, 13, 14, 15, 24, 25, 26, 27, 28, 29, 30, 31};
+
+        for (int i = 0; i < rows; i += chunk_size) {
+            const block_q8_0 * rows_base[chunk_size];
+            for (int r = 0; r < chunk_size; r++) {
+                rows_base[r] = a + (i + r) * lda;
+            }
+            for (int blk = 0; blk < blocks; blk++) {
+                vector unsigned short hp_res[chunk_size][4];
+                for (int r = 0; r < chunk_size; r++) {
+                    const block_q8_0 * b = rows_base[r] + blk;
+                    vector float v_scale = vec_extract_fp32_from_shorth(vec_splats(b->d));
+                    vector signed char c[2];
+                    __vector_pair pair = __builtin_vsx_lxvp(0, (__vector_pair *)b->qs);
+                    __builtin_vsx_disassemble_pair(c, & pair);
+                    convert_and_scale_q8(c[0], v_scale, hp_res[r][0], hp_res[r][1]);
+                    convert_and_scale_q8(c[1], v_scale, hp_res[r][2], hp_res[r][3]);
+                }
+                for (int col = 0; col < 4; col++) {
+                    if constexpr (chunk_size == 8) {
+                        vec_t t[8];
+                        t[0] = vec_perm((vec_t)hp_res[0][col], (vec_t)hp_res[1][col], swiz1);
+                        t[1] = vec_perm((vec_t)hp_res[0][col], (vec_t)hp_res[1][col], swiz2);
+                        t[2] = vec_perm((vec_t)hp_res[2][col], (vec_t)hp_res[3][col], swiz1);
+                        t[3] = vec_perm((vec_t)hp_res[2][col], (vec_t)hp_res[3][col], swiz2);
+                        t[4] = vec_perm((vec_t)hp_res[4][col], (vec_t)hp_res[5][col], swiz1);
+                        t[5] = vec_perm((vec_t)hp_res[4][col], (vec_t)hp_res[5][col], swiz2);
+                        t[6] = vec_perm((vec_t)hp_res[6][col], (vec_t)hp_res[7][col], swiz1);
+                        t[7] = vec_perm((vec_t)hp_res[6][col], (vec_t)hp_res[7][col], swiz2);
+
+                        vec_xst(vec_perm(t[0], t[2], swiz3), 0, (vec_t *)(vecOffset + 0));
+                        vec_xst(vec_perm(t[0], t[2], swiz4), 0, (vec_t *)(vecOffset + 16));
+                        vec_xst(vec_perm(t[1], t[3], swiz3), 0, (vec_t *)(vecOffset + 32));
+                        vec_xst(vec_perm(t[1], t[3], swiz4), 0, (vec_t *)(vecOffset + 48));
+                        vec_xst(vec_perm(t[4], t[6], swiz3), 0, (vec_t *)(vecOffset + 64));
+                        vec_xst(vec_perm(t[4], t[6], swiz4), 0, (vec_t *)(vecOffset + 80));
+                        vec_xst(vec_perm(t[5], t[7], swiz3), 0, (vec_t *)(vecOffset + 96));
+                        vec_xst(vec_perm(t[5], t[7], swiz4), 0, (vec_t *)(vecOffset + 112));
+                        vecOffset += 128;
+                    } else {
+                        vec_t t0 = vec_perm((vec_t)hp_res[0][col], (vec_t)hp_res[1][col], swiz1);
+                        vec_t t1 = vec_perm((vec_t)hp_res[0][col], (vec_t)hp_res[1][col], swiz2);
+                        vec_t t2 = vec_perm((vec_t)hp_res[2][col], (vec_t)hp_res[3][col], swiz1);
+                        vec_t t3 = vec_perm((vec_t)hp_res[2][col], (vec_t)hp_res[3][col], swiz2);
+
+                        vec_xst(vec_perm(t0, t2, swiz3), 0, (vec_t *)(vecOffset + 0));
+                        vec_xst(vec_perm(t0, t2, swiz4), 0, (vec_t *)(vecOffset + 16));
+                        vec_xst(vec_perm(t1, t3, swiz3), 0, (vec_t *)(vecOffset + 32));
+                        vec_xst(vec_perm(t1, t3, swiz4), 0, (vec_t *)(vecOffset + 48));
+                        vecOffset += 64;
+                    }
+                }
+            }
+        }
+    }
+
+    void packNormal_q8_fp16(const block_q8_0 * a, int64_t lda, int rows, int blocks, unsigned char * vec) {
+        if (rows == 4) {
+            pack_q8_block<4>(a, lda, rows, blocks, vec);
+        } else {
+            pack_q8_block<8>(a, lda, rows, blocks, vec);
+        }
+    }
+
+    template<int size>
+    void packNormalInt4(const TA * a, int64_t lda, int rows, int cols, int8_t * vec, std::array<int, size> & comparray) {
         int64_t i, j;
-        TA *aoffset = NULL;
-        int8_t *vecOffset = NULL;
-        TA *aoffset1 = NULL, *aoffset2 = NULL, *aoffset3 = NULL, *aoffset4 = NULL;
-        TA *aoffset5 = NULL, *aoffset6 = NULL, *aoffset7 = NULL, *aoffset8 = NULL;
+        TA * aoffset = NULL;
+        int8_t * vecOffset = NULL;
+        TA * aoffset1 = NULL, * aoffset2 = NULL, * aoffset3 = NULL, * aoffset4 = NULL;
+        TA * aoffset5 = NULL, * aoffset6 = NULL, * aoffset7 = NULL, * aoffset8 = NULL;
         vector signed char c1[2] = {0}, c2[2] = {0}, c3[2] = {0}, c4[2] = {0};
         vector signed char c5[2] = {0}, c6[2] = {0}, c7[2] = {0}, c8[2] = {0};
-        aoffset = const_cast<TA*>(a);
+        aoffset = const_cast<TA *>(a);
         vecOffset = vec;
         j = (rows >> 3);
         if (j > 0) {
@@ -2354,27 +2611,27 @@ class tinyBLAS_HP16_PPC {
                 i = (cols >> 2);
                 if (i > 0) {
                     do {
-                        c1[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset1->qs));
-                        c2[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset2->qs));
-                        c3[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset3->qs));
-                        c4[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset4->qs));
-                        c5[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset5->qs));
-                        c6[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset6->qs));
-                        c7[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset7->qs));
-                        c8[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset8->qs));
-
-                        process_q4_elements(c1, &comparray[0]);
-                        process_q4_elements(c2, &comparray[1]);
-                        process_q4_elements(c3, &comparray[2]);
-                        process_q4_elements(c4, &comparray[3]);
-                        process_q4_elements(c5, &comparray[4]);
-                        process_q4_elements(c6, &comparray[5]);
-                        process_q4_elements(c7, &comparray[6]);
-                        process_q4_elements(c8, &comparray[7]);
+                        c1[1] = vec_xl(0, (const vector signed char *)aoffset1->qs);
+                        c2[1] = vec_xl(0, (const vector signed char *)aoffset2->qs);
+                        c3[1] = vec_xl(0, (const vector signed char *)aoffset3->qs);
+                        c4[1] = vec_xl(0, (const vector signed char *)aoffset4->qs);
+                        c5[1] = vec_xl(0, (const vector signed char *)aoffset5->qs);
+                        c6[1] = vec_xl(0, (const vector signed char *)aoffset6->qs);
+                        c7[1] = vec_xl(0, (const vector signed char *)aoffset7->qs);
+                        c8[1] = vec_xl(0, (const vector signed char *)aoffset8->qs);
+
+                        process_q4_elements(c1, & comparray[0]);
+                        process_q4_elements(c2, & comparray[1]);
+                        process_q4_elements(c3, & comparray[2]);
+                        process_q4_elements(c4, & comparray[3]);
+                        process_q4_elements(c5, & comparray[4]);
+                        process_q4_elements(c6, & comparray[5]);
+                        process_q4_elements(c7, & comparray[6]);
+                        process_q4_elements(c8, & comparray[7]);
                         vector_permute_store<int8_t, vector signed char>(c1[0], c2[0], c3[0], c4[0], vecOffset, false);
-                        vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset+64, false);
-                        vector_permute_store<int8_t, vector signed char>(c5[0], c6[0], c7[0], c8[0], vecOffset+128, false);
-                        vector_permute_store<int8_t, vector signed char>(c5[1], c6[1], c7[1], c8[1], vecOffset+192, false);
+                        vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset + 64, false);
+                        vector_permute_store<int8_t, vector signed char>(c5[0], c6[0], c7[0], c8[0], vecOffset + 128, false);
+                        vector_permute_store<int8_t, vector signed char>(c5[1], c6[1], c7[1], c8[1], vecOffset + 192, false);
                         aoffset1 += lda;
                         aoffset2 += lda;
                         aoffset3 += lda;
@@ -2400,17 +2657,17 @@ class tinyBLAS_HP16_PPC {
             i = (cols >> 2);
             if (i > 0) {
                 do {
-                    c1[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset1->qs));
-                    c2[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset2->qs));
-                    c3[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset3->qs));
-                    c4[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset4->qs));
-
-                    process_q4_elements(c1, &comparray[0]);
-                    process_q4_elements(c2, &comparray[1]);
-                    process_q4_elements(c3, &comparray[2]);
-                    process_q4_elements(c4, &comparray[3]);
+                    c1[1] = vec_xl(0, (const vector signed char *)aoffset1->qs);
+                    c2[1] = vec_xl(0, (const vector signed char *)aoffset2->qs);
+                    c3[1] = vec_xl(0, (const vector signed char *)aoffset3->qs);
+                    c4[1] = vec_xl(0, (const vector signed char *)aoffset4->qs);
+
+                    process_q4_elements(c1, & comparray[0]);
+                    process_q4_elements(c2, & comparray[1]);
+                    process_q4_elements(c3, & comparray[2]);
+                    process_q4_elements(c4, & comparray[3]);
                     vector_permute_store<int8_t, vector signed char>(c1[0], c2[0], c3[0], c4[0], vecOffset, false);
-                    vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset+64, false);
+                    vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset + 64, false);
                     aoffset1 += lda;
                     aoffset2 += lda;
                     aoffset3 += lda;
@@ -2429,17 +2686,17 @@ class tinyBLAS_HP16_PPC {
             if (i > 0) {
                 do {
                     switch(rows) {
-                        case 3: c3[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset3->qs));
-                        case 2: c2[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset2->qs));
-                        case 1: c1[1] = reinterpret_cast<vector signed char>(vec_xl(0, aoffset1->qs));
+                        case 3: c3[1] = vec_xl(0, (const vector signed char *)aoffset3->qs);
+                        case 2: c2[1] = vec_xl(0, (const vector signed char *)aoffset2->qs);
+                        case 1: c1[1] = vec_xl(0, (const vector signed char *)aoffset1->qs);
                             break;
                     }
-                    process_q4_elements(c1, &comparray[0]);
-                    process_q4_elements(c2, &comparray[1]);
-                    process_q4_elements(c3, &comparray[2]);
-                    process_q4_elements(c4, &comparray[3]);
+                    process_q4_elements(c1, & comparray[0]);
+                    process_q4_elements(c2, & comparray[1]);
+                    process_q4_elements(c3, & comparray[2]);
+                    process_q4_elements(c4, & comparray[3]);
                     vector_permute_store<int8_t, vector signed char>(c1[0], c2[0], c3[0], c4[0], vecOffset, false);
-                    vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset+64, false);
+                    vector_permute_store<int8_t, vector signed char>(c1[1], c2[1], c3[1], c4[1], vecOffset + 64, false);
                     aoffset1 += lda;
                     aoffset2 += lda;
                     aoffset3 += lda;
@@ -2450,39 +2707,38 @@ class tinyBLAS_HP16_PPC {
         }
     }
 
-    template<typename TA>
     template<typename VA, typename VB>
-    void tinyBLAS_Q0_PPC<TA>::packNormal(const block_q8_0* a, int64_t lda, int rows, int cols, VA* vec, bool flip) {
+    void packNormal(const block_q8_0 * a, int64_t lda, int rows, int cols, VA * vec, bool flip) {
         int64_t i, j;
-        block_q8_0 *aoffset = NULL;
-        VA *vecOffset = NULL;
-        block_q8_0* aoffsets[8];
+        block_q8_0 * aoffset = NULL;
+        VA * vecOffset = NULL;
+        block_q8_0 * aoffsets[8];
         __vector_pair arr[8];
         VB c[8][2] = {0};
         VB c1[8] = {0}; VB c2[8] = {0};
-        aoffset = const_cast<block_q8_0*>(a);
+        aoffset = const_cast<block_q8_0 *>(a);
         vecOffset = vec;
         j = (rows >> 3);
         if (j > 0) {
             do {
                 aoffsets[0] = aoffset;
                 for (int it = 1; it < 8; it++)
-                    aoffsets[it] = aoffsets[it-1] + lda;
+                    aoffsets[it] = aoffsets[it - 1] + lda;
                 aoffset += 8 * lda;
 
                 i = (cols >> 3);
                 if (i > 0) {
                 do {
                     for (int it = 0; it < 8; it++) {
-                        arr[it] = __builtin_vsx_lxvp(0, (__vector_pair*)aoffsets[it]->qs);
-                        __builtin_vsx_disassemble_pair(c[it], &arr[it]);
+                        arr[it] = __builtin_vsx_lxvp(0, (__vector_pair *)aoffsets[it]->qs);
+                        __builtin_vsx_disassemble_pair(c[it], & arr[it]);
                         c1[it] = c[it][0];
                         c2[it] = c[it][1];
                     }
                     vector_permute_store<VA, VB>(c1[0], c1[1], c1[2], c1[3], vecOffset, flip);
-                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset+64, flip);
-                    vector_permute_store<VA, VB>(c1[4], c1[5], c1[6], c1[7], vecOffset+128, flip);
-                    vector_permute_store<VA, VB>(c2[4], c2[5], c2[6], c2[7], vecOffset+192, flip);
+                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset + 64, flip);
+                    vector_permute_store<VA, VB>(c1[4], c1[5], c1[6], c1[7], vecOffset + 128, flip);
+                    vector_permute_store<VA, VB>(c2[4], c2[5], c2[6], c2[7], vecOffset + 192, flip);
                     for (int it = 0; it < 8; it++)
                         aoffsets[it] += lda;
                     vecOffset += 256;
@@ -2501,13 +2757,13 @@ class tinyBLAS_HP16_PPC {
             if (i > 0) {
                do {
                     for (int it = 0; it < 4; it++) {
-                        arr[it] = __builtin_vsx_lxvp(0, (__vector_pair*)aoffsets[it]->qs);
-                        __builtin_vsx_disassemble_pair(c[it], &arr[it]);
+                        arr[it] = __builtin_vsx_lxvp(0, (__vector_pair *)aoffsets[it]->qs);
+                        __builtin_vsx_disassemble_pair(c[it], & arr[it]);
                         c1[it] = c[it][0];
                         c2[it] = c[it][1];
                     }
                     vector_permute_store<VA, VB>(c1[0], c1[1], c1[2], c1[3], vecOffset, flip);
-                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset+64, flip);
+                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset + 64, flip);
                     for (int it = 0; it < 4; it++) {
                         aoffsets[it] += lda;
                     }
@@ -2520,24 +2776,24 @@ class tinyBLAS_HP16_PPC {
         if (rows & 3) {
             aoffsets[0]  = aoffset;
             for (int it = 1; it < 3; it++ )
-                aoffsets[it] = aoffsets[it-1] + lda;
+                aoffsets[it] = aoffsets[it - 1] + lda;
             i = (cols >> 3);
             if (i > 0) {
                 do {
                     switch(rows) {
-                        case 3: arr[2] = __builtin_vsx_lxvp(0, (__vector_pair*)aoffsets[2]->qs);
-                                __builtin_vsx_disassemble_pair(c[2], &arr[2]);
+                        case 3: arr[2] = __builtin_vsx_lxvp(0, (__vector_pair *)aoffsets[2]->qs);
+                                __builtin_vsx_disassemble_pair(c[2], & arr[2]);
                                 c1[2] = c[2][0]; c2[2] = c[2][1];
-                        case 2: arr[1] = __builtin_vsx_lxvp(0, (__vector_pair*)aoffsets[1]->qs);
-                                __builtin_vsx_disassemble_pair(c[1], &arr[1]);
+                        case 2: arr[1] = __builtin_vsx_lxvp(0, (__vector_pair *)aoffsets[1]->qs);
+                                __builtin_vsx_disassemble_pair(c[1], & arr[1]);
                                 c1[1] = c[1][0]; c2[1] = c[1][1];
-                        case 1: arr[0] = __builtin_vsx_lxvp(0, (__vector_pair*)aoffsets[0]->qs);
-                                __builtin_vsx_disassemble_pair(c[0], &arr[0]);
+                        case 1: arr[0] = __builtin_vsx_lxvp(0, (__vector_pair *)aoffsets[0]->qs);
+                                __builtin_vsx_disassemble_pair(c[0], & arr[0]);
                                 c1[0] = c[0][0]; c2[0] = c[0][1];
                                 break;
                     }
                     vector_permute_store<VA, VB>(c1[0], c1[1], c1[2], c1[3], vecOffset, flip);
-                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset+64, flip);
+                    vector_permute_store<VA, VB>(c2[0], c2[1], c2[2], c2[3], vecOffset + 64, flip);
                     for (int it = 0; it < 3; it++)
                          aoffsets[it] += lda;
                     vecOffset += 128;
@@ -2547,8 +2803,7 @@ class tinyBLAS_HP16_PPC {
         }
     }
 
-    template<typename TA>
-    void tinyBLAS_Q0_PPC<TA>::mnpack(int64_t m0, int64_t m, int64_t n0, int64_t n) {
+    void mnpack(int64_t m0, int64_t m, int64_t n0, int64_t n) {
         int m_rem = MIN(m - m0, 16);
         int n_rem = MIN(n - n0, 16);
 
@@ -2585,8 +2840,7 @@ class tinyBLAS_HP16_PPC {
     }
 
 
-    template<typename TA>
-    void tinyBLAS_Q0_PPC<TA>::KERNEL_4x8(int64_t ii, int64_t jj) {
+    void KERNEL_4x8(int64_t ii, int64_t jj) {
         vec_t vec_A[8], vec_B[16] = {0};
         acc_t acc_0, acc_1;
         std::array<int, 4> comparray {};
@@ -2594,26 +2848,26 @@ class tinyBLAS_HP16_PPC {
         vector float vs[8] = {0};
         bool isAblock_q4 = std::is_same_v<TA, block_q4_0>;
         for (int l = 0; l < k; l++) {
-            __builtin_mma_xxsetaccz(&acc_0);
-            __builtin_mma_xxsetaccz(&acc_1);
+            __builtin_mma_xxsetaccz(& acc_0);
+            __builtin_mma_xxsetaccz(& acc_1);
             if (std::is_same_v<TA, block_q4_0>) {
-               packNormalInt4<4>((A+(ii*lda)+l), lda, 4, 4, (int8_t*)vec_A, comparray);
+               packNormalInt4<4>((A + (ii * lda) + l), lda, 4, 4, (int8_t *)vec_A, comparray);
             } else {
-               packNormal<int8_t, vector signed char>((const block_q8_0*)(A+(ii*lda)+l), lda, 4, 8, (int8_t*)vec_A, false);
+               packNormal<int8_t, vector signed char>((const block_q8_0 *)(A + (ii * lda) + l), lda, 4, 8, (int8_t *)vec_A, false);
             }
-            packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, 8, 8, (uint8_t*)vec_B, true);
+            packNormal<uint8_t, vector unsigned char>((B + (jj * ldb) + l), ldb, 8, 8, (uint8_t *)vec_B, true);
             for(int x = 0; x < 8; x++) {
-                __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
-                __builtin_mma_xvi8ger4pp(&acc_1, vec_A[x], vec_B[x+8]);
+                __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x], vec_B[x]);
+                __builtin_mma_xvi8ger4pp(& acc_1, vec_A[x], vec_B[x+8]);
             }
             for (int I = 0; I<4; I++) {
                 for (int J = 0; J<4; J++) {
-                    *((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
-                    *((float*)&vs[I+4]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J+4)*ldb)+l)->d));
+                    *((float *)& vs[I] + J) = (unhalf((A + ((ii + I) * lda) + l)->d) * unhalf((B + ((jj + J) * ldb) + l)->d));
+                    *((float *)& vs[I + 4] + J) = (unhalf((A +((ii + I) * lda) + l)->d) * unhalf((B + ((jj + J + 4) * ldb) + l)->d));
                 }
             }
             if (!isAblock_q4) {
-                auto aoffset = A+(ii*lda)+l;
+                auto aoffset = A + (ii * lda) + l;
                 for (int i = 0; i < 4; i++) {
                     comparray[i] = 0;
                     int ca = 0;
@@ -2624,15 +2878,14 @@ class tinyBLAS_HP16_PPC {
                     aoffset += lda;
                 }
             }
-            compute(&acc_0, 0, 0, comparray, vs, fin_res);
-            compute(&acc_1, 0, 4, comparray, vs, fin_res);
+            compute(& acc_0, 0, 0, comparray, vs, fin_res);
+            compute(& acc_1, 0, 4, comparray, vs, fin_res);
         }
         save_res(ii, jj, 0, fin_res);
-        save_res(ii, jj+4, 4, fin_res);
+        save_res(ii, jj + 4, 4, fin_res);
     }
 
-    template<typename TA>
-    void tinyBLAS_Q0_PPC<TA>::KERNEL_8x4(int64_t ii, int64_t jj) {
+    void KERNEL_8x4(int64_t ii, int64_t jj) {
         vec_t vec_A[16], vec_B[8] = {0};
         acc_t acc_0, acc_1;
         std::array<int, 8> comparray {};
@@ -2640,25 +2893,25 @@ class tinyBLAS_HP16_PPC {
         vector float vs[8] = {0};
         bool isAblock_q4 = std::is_same_v<TA, block_q4_0>;
         for (int l = 0; l < k; l++) {
-            __builtin_mma_xxsetaccz(&acc_0);
-            __builtin_mma_xxsetaccz(&acc_1);
+            __builtin_mma_xxsetaccz(& acc_0);
+            __builtin_mma_xxsetaccz(& acc_1);
             if (std::is_same_v<TA, block_q4_0>) {
-               packNormalInt4<8>((A+(ii*lda)+l), lda, 8, 4, (int8_t*)vec_A, comparray);
+               packNormalInt4<8>((A + (ii * lda) + l), lda, 8, 4, (int8_t *)vec_A, comparray);
             } else {
-               packNormal<int8_t, vector signed char>((const block_q8_0*)(A+(ii*lda)+l), lda, 8, 8, (int8_t*)vec_A, false);
+               packNormal<int8_t, vector signed char>((const block_q8_0 *)(A + (ii * lda) + l), lda, 8, 8, (int8_t *)vec_A, false);
             }
-            packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, 4, 8, (uint8_t*)vec_B, true);
+            packNormal<uint8_t, vector unsigned char>((B + (jj * ldb) + l), ldb, 4, 8, (uint8_t *)vec_B, true);
             for(int x = 0; x < 8; x++) {
-                __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
-                __builtin_mma_xvi8ger4pp(&acc_1, vec_A[x+8], vec_B[x]);
+                __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x], vec_B[x]);
+                __builtin_mma_xvi8ger4pp(& acc_1, vec_A[x + 8], vec_B[x]);
             }
-            for (int I = 0; I<8; I++) {
-                for (int J = 0; J<4; J++) {
-                    *((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
+            for (int I = 0; I < 8; I++) {
+                for (int J = 0; J < 4; J++) {
+                    *((float *)&vs[I] + J) = (unhalf((A + ((ii + I) * lda) + l)->d) * unhalf((B + ((jj + J) * ldb) + l)->d));
                 }
             }
             if (!isAblock_q4) {
-                auto aoffset = A+(ii*lda)+l;
+                auto aoffset = A + (ii * lda) + l;
                 for (int i = 0; i < 8; i++) {
                     comparray[i] = 0;
                     int ca = 0;
@@ -2669,15 +2922,14 @@ class tinyBLAS_HP16_PPC {
                     aoffset += lda;
                 }
             }
-            compute(&acc_0, 0, 0, comparray, vs, fin_res);
-            compute(&acc_1, 4, 4, comparray, vs, fin_res);
+            compute(& acc_0, 0, 0, comparray, vs, fin_res);
+            compute(& acc_1, 4, 4, comparray, vs, fin_res);
         }
         save_res(ii, jj, 0, fin_res);
-        save_res(ii+4, jj, 4, fin_res);
+        save_res(ii + 4, jj, 4, fin_res);
     }
 
-    template<typename TA>
-    void tinyBLAS_Q0_PPC<TA>::KERNEL_8x8(int64_t ii, int64_t jj) {
+    void KERNEL_8x8(int64_t ii, int64_t jj) {
         vec_t vec_A[16], vec_B[16] = {0};
         acc_t acc_0, acc_1, acc_2, acc_3;
         acc_t acc_4, acc_5, acc_6, acc_7;
@@ -2686,30 +2938,30 @@ class tinyBLAS_HP16_PPC {
         vector float vs[16] = {0};
         bool isAblock_q4 = std::is_same_v<TA, block_q4_0>;
         for (int l = 0; l < k; l++) {
-            __builtin_mma_xxsetaccz(&acc_0);
-            __builtin_mma_xxsetaccz(&acc_1);
-            __builtin_mma_xxsetaccz(&acc_2);
-            __builtin_mma_xxsetaccz(&acc_3);
+            __builtin_mma_xxsetaccz(& acc_0);
+            __builtin_mma_xxsetaccz(& acc_1);
+            __builtin_mma_xxsetaccz(& acc_2);
+            __builtin_mma_xxsetaccz(& acc_3);
             if (std::is_same_v<TA, block_q4_0>) {
-               packNormalInt4<8>((A+(ii*lda)+l), lda, 8, 4, (int8_t*)vec_A, comparray);
+               packNormalInt4<8>((A + (ii * lda) + l), lda, 8, 4, (int8_t *)vec_A, comparray);
             } else {
-               packNormal<int8_t, vector signed char>((const block_q8_0*)(A+(ii*lda)+l), lda, 8, 8, (int8_t*)vec_A, false);
+               packNormal<int8_t, vector signed char>((const block_q8_0 *)(A + (ii * lda) + l), lda, 8, 8, (int8_t *)vec_A, false);
             }
-            packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, 8, 8, (uint8_t*)vec_B, true);
+            packNormal<uint8_t, vector unsigned char>((B + (jj * ldb) + l), ldb, 8, 8, (uint8_t *)vec_B, true);
             for(int x = 0; x < 8; x++) {
-                __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
-                __builtin_mma_xvi8ger4pp(&acc_1, vec_A[x+8], vec_B[x]);
-                __builtin_mma_xvi8ger4pp(&acc_2, vec_A[x], vec_B[x+8]);
-                __builtin_mma_xvi8ger4pp(&acc_3, vec_A[x+8], vec_B[x+8]);
+                __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x], vec_B[x]);
+                __builtin_mma_xvi8ger4pp(& acc_1, vec_A[x + 8], vec_B[x]);
+                __builtin_mma_xvi8ger4pp(& acc_2, vec_A[x], vec_B[x + 8]);
+                __builtin_mma_xvi8ger4pp(& acc_3, vec_A[x + 8], vec_B[x + 8]);
             }
-            for (int I = 0; I<8; I++) {
-                for (int J = 0; J<4; J++) {
-                    *((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
-                    *((float*)&vs[I+8]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J+4)*ldb)+l)->d));
+            for (int I = 0; I < 8 ; I++) {
+                for (int J = 0; J < 4; J++) {
+                    *((float *)& vs[I] + J) = (unhalf((A + ((ii + I) * lda) + l)->d) * unhalf((B + ((jj + J) * ldb) + l)->d));
+                    *((float *)& vs[I + 8] + J) = (unhalf((A + ((ii + I) * lda) + l)->d) * unhalf((B + ((jj + J + 4) * ldb) + l)->d));
                 }
             }
             if (!isAblock_q4) {
-                auto aoffset = A+(ii*lda)+l;
+                auto aoffset = A + (ii * lda) + l;
                 for (int i = 0; i < 8; i++) {
                     comparray[i] = 0;
                     int ca = 0;
@@ -2720,19 +2972,99 @@ class tinyBLAS_HP16_PPC {
                     aoffset += lda;
                 }
             }
-            compute(&acc_0, 0, 0, comparray, vs, fin_res);
-            compute(&acc_1, 4, 4, comparray, vs, fin_res);
-            compute(&acc_2, 0, 8, comparray, vs, fin_res);
-            compute(&acc_3, 4, 12, comparray, vs, fin_res);
+            compute(& acc_0, 0, 0, comparray, vs, fin_res);
+            compute(& acc_1, 4, 4, comparray, vs, fin_res);
+            compute(& acc_2, 0, 8, comparray, vs, fin_res);
+            compute(& acc_3, 4, 12, comparray, vs, fin_res);
         }
         save_res(ii, jj, 0, fin_res);
-        save_res(ii+4, jj, 4, fin_res);
-        save_res(ii, jj+4, 8, fin_res);
-        save_res(ii+4, jj+4, 12, fin_res);
+        save_res(ii + 4, jj, 4, fin_res);
+        save_res(ii, jj + 4, 8, fin_res);
+        save_res(ii + 4, jj + 4, 12, fin_res);
+    }
+
+    void KERNEL_Q0(int64_t ii, int64_t jj, int64_t mc, int64_t nc, int64_t kc, int64_t l, vec_t * vec_A, vec_t * vec_B) {
+        acc_t acc[8];
+        for (int i = 0; i < mc ; i += 16) {
+            for (int j = 0; j < nc; j += 8) {
+                int A0_base = (i / 16) * (2 * 32 * kc);
+                int B0_base = (j / 8) * (32 * kc);
+                for (int x = 0; x < 8; x++) {
+                     __builtin_mma_xxsetaccz(&acc[x]);
+                }
+                for (int64_t kk = 0; kk < kc; kk++) {
+                    int A0_block_idx = A0_base + kk * 32;
+                    int B0_block_idx = B0_base + kk * 32;
+                    int A1_block_idx = A0_block_idx + 32 * kc;
+                    int B1_block_idx = B0_block_idx + 32 * kc;
+                    vec_t * A0_block = & vec_A[A0_block_idx];
+                    vec_t * B0_block = & vec_B[B0_block_idx];
+                    vec_t * A1_block = & vec_A[A1_block_idx];
+                    for (int it = 0; it < 4; it++) {
+                        for (int x = 0; x < 4; x++) {
+                            __builtin_mma_xvf16ger2pp(& acc[0], A0_block[8 * it + x], B0_block[8 * it + x]);
+                            __builtin_mma_xvf16ger2pp(& acc[1], A0_block[8 * it + x], B0_block[8 * it + x + 4]);
+                            __builtin_mma_xvf16ger2pp(& acc[2], A0_block[8 * it + x + 4], B0_block[8 * it + x]);
+                            __builtin_mma_xvf16ger2pp(& acc[3], A0_block[8 * it + x + 4], B0_block[8 * it + x + 4]);
+                            __builtin_mma_xvf16ger2pp(& acc[4], A1_block[8 * it + x], B0_block[8 * it + x]);
+                            __builtin_mma_xvf16ger2pp(& acc[5], A1_block[8 * it + x], B0_block[8 * it+ x + 4]);
+                            __builtin_mma_xvf16ger2pp(& acc[6], A1_block[8 * it + x + 4], B0_block[8 * it + x]);
+                            __builtin_mma_xvf16ger2pp(& acc[7], A1_block[8 * it + x + 4], B0_block[8 * it + x + 4]);
+                        }
+                    }
+                }
+                if (l == 0) {
+                    save_acc(& acc[0], ii + i, jj + j);
+                    save_acc(& acc[1], ii + i, jj + j + 4);
+                    save_acc(& acc[2], ii + i + 4, jj + j);
+                    save_acc(& acc[3], ii + i + 4, jj + j + 4);
+                    save_acc(& acc[4], ii + i + 8, jj + j);
+                    save_acc(& acc[5], ii + i + 8, jj + j + 4);
+                    save_acc(& acc[6], ii + i + 12, jj + j);
+                    save_acc(& acc[7], ii + i + 12, jj + j + 4);
+                } else {
+                    add_save_acc(& acc[0], ii + i, jj + j);
+                    add_save_acc(& acc[1], ii + i, jj + j + 4);
+                    add_save_acc(& acc[2], ii + i + 4, jj + j);
+                    add_save_acc(& acc[3], ii + i + 4, jj + j + 4);
+                    add_save_acc(& acc[4], ii + i + 8, jj + j);
+                    add_save_acc(& acc[5], ii + i + 8, jj + j + 4);
+                    add_save_acc(& acc[6], ii + i + 12, jj + j);
+                    add_save_acc(& acc[7], ii + i + 12, jj + j + 4);
+                }
+            }
+        }
     }
 
-    template<typename TA>
-    void tinyBLAS_Q0_PPC<TA>::gemm_small(int64_t m0, int64_t m, int64_t n0, int64_t n, int RM, int RN) {
+    void matmul_tiled(int64_t m, int64_t n, int64_t mc, int64_t nc, int64_t kc) {
+        vec_t A_pack[mc * kc * 4];
+        vec_t B_pack[nc * kc * 4];
+        constexpr bool is_Ablock_q4 = std::is_same_v<TA, block_q4_0>;
+        int64_t ytiles = m / mc;
+        int64_t xtiles = n / nc;
+        int64_t tiles  = xtiles * ytiles;
+        int64_t duty = (tiles + nth - 1) / nth;
+        int64_t start = duty * ith;
+        int64_t end = start + duty;
+        if (end > tiles) {
+            end = tiles;
+        }
+        for (int64_t job = start; job < end; ++job) {
+            int64_t ii = (job / xtiles) * mc;
+            int64_t jj = (job % xtiles) * nc;
+            for (int64_t kk = 0; kk < k; kk += kc) {
+                if constexpr(is_Ablock_q4) {
+                    packNormal_q4_fp16(A + ii * lda + kk, lda, mc, kc, (uint8_t *)A_pack);
+                } else {
+                    packNormal_q8_fp16(A + ii * lda + kk, lda, mc, kc, (uint8_t *)A_pack);
+                }
+                packNormal_q8_fp16(B + jj * ldb + kk, ldb, nc, kc, (uint8_t *)B_pack);
+                KERNEL_Q0(ii, jj, mc, nc, kc, kk, A_pack, B_pack);
+            }
+        }
+    }
+
+    void gemm_small(int64_t m0, int64_t m, int64_t n0, int64_t n, int RM, int RN) {
         int64_t ytiles = (m - m0) / RM;
         int64_t xtiles = (n - n0) / RN;
         int64_t tiles = xtiles * ytiles;
@@ -2754,32 +3086,32 @@ class tinyBLAS_HP16_PPC {
             vector float fin_res[4] = {0};
             vector float vs[4] = {0};
             vector float CA[4] = {0};
-            __builtin_prefetch((A+(ii*lda)+0)->qs, 0, 1); // prefetch first value
-            __builtin_prefetch((B+(jj*ldb)+0)->qs, 0, 1); // prefetch first value
+            __builtin_prefetch((A + (ii * lda) + 0)->qs, 0, 1); // prefetch first value
+            __builtin_prefetch((B + (jj * ldb) + 0)->qs, 0, 1); // prefetch first value
             for (int l = 0; l < k; l++) {
-                __builtin_prefetch((A+(ii*lda)+(l+1))->qs, 0, 1); // prefetch one loop ahead
-                __builtin_prefetch((B+(jj*ldb)+(l+1))->qs, 0, 1); // prefetch one loop ahead
-                __builtin_mma_xxsetaccz(&acc_0);
+                __builtin_prefetch((A + (ii * lda) + (l + 1))->qs, 0, 1); // prefetch one loop ahead
+                __builtin_prefetch((B + (jj * ldb) + (l + 1))->qs, 0, 1); // prefetch one loop ahead
+                __builtin_mma_xxsetaccz(& acc_0);
                 if (isAblock_q4) {
-                   packNormalInt4<4>((A+(ii*lda)+l), lda, RM, 4, (int8_t*)vec_A, comparray);
+                    packNormalInt4<4>((A + (ii * lda) + l), lda, RM, 4, (int8_t *)vec_A, comparray);
                 } else {
-                   packNormal<int8_t, vector signed char>((const block_q8_0*)(A+(ii*lda)+l), lda, RM, 8, (int8_t*)vec_A, false);
+                    packNormal<int8_t, vector signed char>((const block_q8_0 *)(A + (ii * lda) + l), lda, RM, 8, (int8_t *)vec_A, false);
                 }
-                packNormal<uint8_t, vector unsigned char>((B+(jj*ldb)+l), ldb, RN, 8, (uint8_t*)vec_B, true);
-                for(int x = 0; x < 8; x+=4) {
-                    __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x], vec_B[x]);
-                    __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x+1], vec_B[x+1]);
-                    __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x+2], vec_B[x+2]);
-                    __builtin_mma_xvi8ger4pp(&acc_0, vec_A[x+3], vec_B[x+3]);
+                packNormal<uint8_t, vector unsigned char>((B + (jj * ldb) + l), ldb, RN, 8, (uint8_t *)vec_B, true);
+                for (int x = 0; x < 8; x += 4) {
+                    __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x], vec_B[x]);
+                    __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x + 1], vec_B[x + 1]);
+                    __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x + 2], vec_B[x + 2]);
+                    __builtin_mma_xvi8ger4pp(& acc_0, vec_A[x + 3], vec_B[x + 3]);
                 }
-                for (int I = 0; I<RM; I++) {
-                    for (int J = 0; J<RN; J++) {
-                        *((float*)&vs[I]+J) = (unhalf((A+((ii+I)*lda)+l)->d) * unhalf((B+((jj+J)*ldb)+l)->d));
+                for (int I = 0; I < RM; I++) {
+                    for (int J = 0; J < RN; J++) {
+                        *((float*)&vs[I] + J) = (unhalf((A + ((ii + I) * lda) + l)->d) * unhalf((B + ((jj + J) * ldb) + l)->d));
                     }
                 }
-                __builtin_mma_disassemble_acc(vec_C, &acc_0);
+                __builtin_mma_disassemble_acc(vec_C, & acc_0);
                 if (!isAblock_q4) {
-                    auto aoffset = A+(ii*lda)+l;
+                    auto aoffset = A + (ii * lda) + l;
                     for (int i = 0; i < RM; i++) {
                         comparray[i] = 0;
                         int ca = 0;
@@ -2800,9 +3132,21 @@ class tinyBLAS_HP16_PPC {
         }
     }
 
-    template<typename TA>
+    template<int RM, int RN>
+    inline void kernel(int64_t ii, int64_t jj) {
+        if constexpr(RM == 4 && RN == 8) {
+            KERNEL_4x8(ii,jj);
+        } else if constexpr(RM == 8 && RN == 4) {
+            KERNEL_8x4(ii,jj);
+        } else if constexpr(RM == 8 && RN == 8) {
+            KERNEL_8x8(ii,jj);
+        } else {
+            assert(false && "RN/RM values not supported");
+        }
+    }
+
     template <int RM, int RN>
-    NOINLINE void tinyBLAS_Q0_PPC<TA>::gemm(int64_t m0, int64_t m, int64_t n0, int64_t n) {
+    NOINLINE void gemm(int64_t m0, int64_t m, int64_t n0, int64_t n) {
         int64_t ytiles = (m - m0) / RM;
         int64_t xtiles = (n - n0) / RN;
         int64_t tiles = xtiles * ytiles;
@@ -2814,12 +3158,20 @@ class tinyBLAS_HP16_PPC {
         for (int64_t job = start; job < end; ++job) {
             int64_t ii = m0 + job / xtiles * RM;
             int64_t jj = n0 + job % xtiles * RN;
-            this->kernel<RM, RN>(ii, jj);
+            kernel<RM, RN>(ii, jj);
         }
     }
-
-template class tinyBLAS_Q0_PPC<block_q4_0>;
-template class tinyBLAS_Q0_PPC<block_q8_0>;
+    const TA * const A;
+    const block_q8_0 * const B;
+    float * C;
+    const int64_t k;
+    int64_t kc;
+    const int64_t lda;
+    const int64_t ldb;
+    const int64_t ldc;
+    const int ith;
+    const int nth;
+};
 
 class tinyBLAS_PPC {
   public:
diff --git a/ggml/src/ggml-cpu/ops.cpp b/ggml/src/ggml-cpu/ops.cpp
index 4352e132807..314cc1088a0 100644
--- a/ggml/src/ggml-cpu/ops.cpp
+++ b/ggml/src/ggml-cpu/ops.cpp
@@ -3,6 +3,7 @@
 #include "ggml-cpu.h"
 #include "ggml-impl.h"
 #include "binary-ops.h"
+#include "simd-gemm.h"
 #include "ggml.h"
 #include "unary-ops.h"
 #include "vec.h"
@@ -374,7 +375,7 @@ static void ggml_compute_forward_dup_bytes(
         const size_t rs = ne00 * type_size;
 
         if (nb00 == type_size) {
-            // src0 is contigous on first dimension, copy by rows
+            // src0 is contiguous on first dimension, copy by rows
             for (int64_t i03 = 0; i03 < ne03; i03++) {
                 for (int64_t i02 = 0; i02 < ne02; i02++) {
                     id += rs * ir0;
@@ -669,6 +670,7 @@ void ggml_compute_forward_add(
         case GGML_TYPE_Q5_1:
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -1118,6 +1120,7 @@ void ggml_compute_forward_add1(
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q8_1:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -1246,6 +1249,7 @@ void ggml_compute_forward_acc(
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q8_1:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -1794,7 +1798,7 @@ void ggml_compute_forward_repeat(
             {
                 ggml_compute_forward_repeat_f32(params, dst);
             } break;
-        // TODO: templateify the implemenation and support for I64
+        // TODO: templateify the implementation and support for I64
         //       ref https://github.com/ggml-org/llama.cpp/pull/14274#discussion_r2169492225
         //case GGML_TYPE_I64:
         //    {
@@ -2128,12 +2132,12 @@ static void ggml_compute_forward_gelu_f32(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const float x = ((float *) ((char *) dst->data + i1*( dst->nb[1])))[k];
+            const float x = ((float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*(dst->nb[1])))[k];
             GGML_UNUSED(x);
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2175,13 +2179,13 @@ static void ggml_compute_forward_gelu_f16(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i1*( dst->nb[1])))[k];
+            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*( dst->nb[1])))[k];
             const float v = GGML_CPU_FP16_TO_FP32(x);
             GGML_UNUSED(v);
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2324,12 +2328,12 @@ static void ggml_compute_forward_gelu_erf_f32(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const float x = ((float *) ((char *) dst->data + i1*( dst->nb[1])))[k];
+            const float x = ((float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*(dst->nb[1])))[k];
             GGML_UNUSED(x);
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2371,13 +2375,13 @@ static void ggml_compute_forward_gelu_erf_f16(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i1*( dst->nb[1])))[k];
+            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*( dst->nb[1])))[k];
             const float v = GGML_CPU_FP16_TO_FP32(x);
             GGML_UNUSED(v);
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2443,12 +2447,12 @@ static void ggml_compute_forward_gelu_quick_f32(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const float x = ((float *) ((char *) dst->data + i1*( dst->nb[1])))[k];
+            const float x = ((float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*(dst->nb[1])))[k];
             GGML_UNUSED(x);
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2490,13 +2494,13 @@ static void ggml_compute_forward_gelu_quick_f16(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i1*( dst->nb[1])))[k];
+            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*( dst->nb[1])))[k];
             const float v = GGML_CPU_FP16_TO_FP32(x);
             GGML_UNUSED(v);
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2562,12 +2566,12 @@ static void ggml_compute_forward_silu_f32(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const float x = ((float *) ((char *) dst->data + i1*(dst->nb[1])))[k];
+            const float x = ((float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*(dst->nb[1])))[k];
             GGML_UNUSED(x);
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2609,13 +2613,13 @@ static void ggml_compute_forward_silu_f16(
 
 #ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
-            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i1*(dst->nb[1])))[k];
+            const ggml_fp16_t x = ((ggml_fp16_t *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*( dst->nb[1])))[k];
             const float v = GGML_CPU_FP16_TO_FP32(x);
             GGML_UNUSED(v);
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2765,7 +2769,7 @@ static void ggml_compute_forward_silu_back_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2801,7 +2805,7 @@ static void ggml_compute_forward_silu_back_f16(
                 (ggml_fp16_t *) ((char *) src1->data + i1*(src1->nb[1])),
                 (ggml_fp16_t *) ((char *) grad->data + i1*(grad->nb[1])));
 
-    #ifndef NDEBUG
+#ifndef NDEBUG
         for (int k = 0; k < nc; k++) {
             const float x = ((ggml_fp16_t *) ((char *) dst->data + i1*( dst->nb[1])))[k];
             const float v = GGML_CPU_FP16_TO_FP32(x);
@@ -2809,7 +2813,7 @@ static void ggml_compute_forward_silu_back_f16(
             assert(!isnan(v));
             assert(!isinf(v));
         }
-    #endif
+#endif // NDEBUG
     }
 }
 
@@ -2892,7 +2896,7 @@ static void ggml_compute_forward_reglu_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -2952,7 +2956,7 @@ static void ggml_compute_forward_reglu_f16(
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3035,7 +3039,7 @@ static void ggml_compute_forward_geglu_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3095,7 +3099,7 @@ static void ggml_compute_forward_geglu_f16(
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3178,7 +3182,7 @@ static void ggml_compute_forward_swiglu_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3238,7 +3242,7 @@ static void ggml_compute_forward_swiglu_f16(
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3329,7 +3333,7 @@ static void ggml_compute_forward_swiglu_oai_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3408,7 +3412,7 @@ static void ggml_compute_forward_geglu_erf_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3468,7 +3472,7 @@ static void ggml_compute_forward_geglu_erf_f16(
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3551,7 +3555,7 @@ static void ggml_compute_forward_geglu_quick_f32(
             assert(!isnan(x));
             assert(!isinf(x));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -3611,7 +3615,7 @@ static void ggml_compute_forward_geglu_quick_f16(
             assert(!isnan(v));
             assert(!isinf(v));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -4333,6 +4337,7 @@ void ggml_compute_forward_out_prod(
         case GGML_TYPE_Q5_1:
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -4608,6 +4613,7 @@ void ggml_compute_forward_set(
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q8_1:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -4830,6 +4836,7 @@ void ggml_compute_forward_get_rows(
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q8_1:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -5302,7 +5309,7 @@ static void ggml_compute_forward_soft_max_f32(
                     //printf("p[%d] = %f\n", i, p[i]);
                     assert(!isnan(wp[i]));
                 }
-#endif
+#endif // NDEBUG
 
                 float max = -INFINITY;
                 ggml_vec_max_f32(ne00, &max, wp);
@@ -5327,7 +5334,7 @@ static void ggml_compute_forward_soft_max_f32(
                     assert(!isnan(dp[i]));
                     assert(!isinf(dp[i]));
                 }
-#endif
+#endif // NDEBUG
             }
         }
     }
@@ -5401,7 +5408,7 @@ static void ggml_compute_forward_soft_max_ext_back_f32(
             assert(!isnan(dy[i]));
             assert(!isnan(y[i]));
         }
-#endif
+#endif // NDEBUG
         // Jii = yi - yi*yi
         // Jij = -yi*yj
         // J = diag(y)-y.T*y
@@ -5434,7 +5441,7 @@ static void ggml_compute_forward_soft_max_ext_back_f32(
             assert(!isnan(dx[i]));
             assert(!isinf(dx[i]));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
@@ -5554,6 +5561,7 @@ void ggml_compute_forward_clamp(
         case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q8_1:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
         case GGML_TYPE_Q2_K:
         case GGML_TYPE_Q3_K:
         case GGML_TYPE_Q4_K:
@@ -5802,28 +5810,33 @@ static void ggml_compute_forward_rope_flt(
 
     const int32_t * pos = (const int32_t *) src1->data;
 
+    int64_t last_i2 = -1;
+
     for (int64_t i3 = 0; i3 < ne3; i3++) { // batch
         for (int64_t i2 = 0; i2 < ne2; i2++) { // seq-len
-
-            float * cache = (float *) params->wdata + (ne0 + CACHE_LINE_SIZE_F32)*ith;
-            if (!mrope_used) {
-                const int64_t p = pos[i2];
-                ggml_rope_cache_init(p, freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
-            }
-            else {
-                const int64_t p_t = pos[i2];
-                const int64_t p_h = pos[i2 + ne2];
-                const int64_t p_w = pos[i2 + ne2 * 2];
-                const int64_t p_e = pos[i2 + ne2 * 3];
-                ggml_mrope_cache_init(
-                    p_t, p_h, p_w, p_e, sections, is_imrope, is_vision,
-                    freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
-            }
-
             for (int64_t i1 = 0; i1 < ne1; i1++) { // attn-heads
-                if (ir++ < ir0) continue;
+                if (ir++ < ir0) continue; // skip rows mapped to other threads
                 if (ir   > ir1) break;
 
+                float * cache = (float *) params->wdata + (ne0 + CACHE_LINE_SIZE_F32)*ith;
+                if (last_i2 != i2) {
+                    if (!mrope_used) {
+                        const int64_t p = pos[i2];
+                        ggml_rope_cache_init(p, freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
+                    }
+                    else {
+                        const int64_t p_t = pos[i2];
+                        const int64_t p_h = pos[i2 + ne2];
+                        const int64_t p_w = pos[i2 + ne2 * 2];
+                        const int64_t p_e = pos[i2 + ne2 * 3];
+                        ggml_mrope_cache_init(
+                            p_t, p_h, p_w, p_e, sections, is_imrope, is_vision,
+                            freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
+                    }
+
+                    last_i2 = i2;
+                }
+
                 T * src = (T *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01);
                 T * dst_data  = (T *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1);
 
@@ -8389,10 +8402,6 @@ static void ggml_compute_forward_flash_attn_ext_tiled(
     GGML_ASSERT(k->type == v->type);
     const ggml_type kv_type = k->type;
 
-    const auto * kv_type_traits_cpu = ggml_get_type_traits_cpu(kv_type);
-    const ggml_from_float_t kv_from_float = kv_type_traits_cpu->from_float;
-    const ggml_vec_dot_t    kv_vec_dot    = kv_type_traits_cpu->vec_dot;
-    const size_t kv_type_size = ggml_type_size(kv_type);
 
     // broadcast factors
     const int64_t rk2 = neq2/nek2;
@@ -8424,8 +8433,6 @@ static void ggml_compute_forward_flash_attn_ext_tiled(
     static constexpr int Q_TILE_SZ  = ggml_fa_tile_config::Q;
     static constexpr int KV_TILE_SZ = ggml_fa_tile_config::KV;
 
-    GGML_ASSERT(nek1 % KV_TILE_SZ == 0 && "KV sequence length must be divisible by KV_TILE_SZ");
-
     int ir = ir0;
     while (ir < ir1) {
         // q indices for the start of this tile
@@ -8452,18 +8459,20 @@ static void ggml_compute_forward_flash_attn_ext_tiled(
         }
 
         // Per-thread scratch layout:
-        // Q_q:    Q_TILE_SZ * DK (converted Q tile in KV type)
+        // Q_q:    Q_TILE_SZ * DK (converted Q tile — F32 for GEMM, KV type for scalar)
         // KQ:     Q_TILE_SZ * KV_TILE_SZ (attention scores in float)
         // mask:   Q_TILE_SZ * KV_TILE_SZ (mask in float)
         // VKQ32:  Q_TILE_SZ * DV (FP32 output accumulator)
-        // V32:    KV_TILE_SZ * DV (F32 buffer for V tile - used for f166 conversion)
-        float * base  = (float *) params->wdata + ith*(Q_TILE_SZ*DK + 2*Q_TILE_SZ*KV_TILE_SZ + Q_TILE_SZ*DV + KV_TILE_SZ*DV + CACHE_LINE_SIZE_F32);
+        // V32:    KV_TILE_SZ * DV (F32 buffer for V tile)
+        // K_f32:  KV_TILE_SZ * DK (F32 buffer for K tile — GEMM path)
+        float * base  = (float *) params->wdata + ith*(Q_TILE_SZ*DK + 2*Q_TILE_SZ*KV_TILE_SZ + Q_TILE_SZ*DV + KV_TILE_SZ*DV + KV_TILE_SZ*DK + CACHE_LINE_SIZE_F32);
 
         void  * Q_q    = base;
         float * KQ     = (float *)((char *)base + Q_TILE_SZ * DK * sizeof(float));
         float * mask32 = KQ + Q_TILE_SZ * KV_TILE_SZ;
         float * VKQ32  = mask32 + Q_TILE_SZ * KV_TILE_SZ;
-        float * V32    = VKQ32 + Q_TILE_SZ * DV;  // F32 buffer for V tile
+        float * V32    = VKQ32 + Q_TILE_SZ * DV;
+        float * K_f32  = V32 + KV_TILE_SZ * DV;
 
         memset(VKQ32, 0, Q_TILE_SZ * DV * sizeof(float));
         memset(mask32, 0, Q_TILE_SZ * KV_TILE_SZ * sizeof(float));
@@ -8476,28 +8485,38 @@ static void ggml_compute_forward_flash_attn_ext_tiled(
         const int iv3 = iq3 / rv3;
         const int iv2 = iq2 / rv2;
 
-        for (int tq = 0; tq < tile_rows; tq++) {
-            const float * pq = (const float *) ((char *) q->data + ((iq1 + tq)*nbq1 + iq2*nbq2 + iq3*nbq3));
-            kv_from_float(pq, (char *)Q_q + tq * DK * kv_type_size, DK);
-        }
-        // Zero-pad remaining rows
-        for (int tq = tile_rows; tq < Q_TILE_SZ; tq++) {
-            memset((char *)Q_q + tq * DK * kv_type_size, 0, DK * kv_type_size);
+        {
+            float * Q_f32 = (float *)Q_q;
+            for (int tq = 0; tq < tile_rows; tq++) {
+                const float * pq = (const float *) ((char *) q->data + ((iq1 + tq)*nbq1 + iq2*nbq2 + iq3*nbq3));
+                memcpy(Q_f32 + tq * DK, pq, DK * sizeof(float));
+            }
+            for (int tq = tile_rows; tq < Q_TILE_SZ; tq++) {
+                memset(Q_f32 + tq * DK, 0, DK * sizeof(float));
+            }
         }
 
+        memset(K_f32, 0, DK * KV_TILE_SZ * sizeof(float));
+        memset(V32,   0, KV_TILE_SZ * DV * sizeof(float));
+
         for (int64_t ic = 0; ic < nek1; ic += KV_TILE_SZ) {
+            const int kv_tile = (int)std::min((int64_t)KV_TILE_SZ, nek1 - ic);
 
             // skip the tile entirely if all the masks are -inf
             if (mask) {
                 bool can_skip = true;
                 for (int tq = 0; tq < tile_rows; tq++) {
                     const ggml_fp16_t * mp_row = (const ggml_fp16_t *)((const char *) mask->data + (iq1 + tq)*mask->nb[1] + (iq2%mask->ne[2])*mask->nb[2] + (iq3%mask->ne[3])*mask->nb[3]);
-                    for (int tk = 0; tk < KV_TILE_SZ; tk++) {
+                    for (int tk = 0; tk < kv_tile; tk++) {
                         mask32[tq * KV_TILE_SZ + tk] = slope * GGML_CPU_FP16_TO_FP32(mp_row[ic + tk]);
                         if (mask32[tq * KV_TILE_SZ + tk] != -INFINITY) {
                             can_skip = false;
                         }
                     }
+                    // Pad remaining mask entries with -inf
+                    for (int tk = kv_tile; tk < KV_TILE_SZ; tk++) {
+                        mask32[tq * KV_TILE_SZ + tk] = -INFINITY;
+                    }
                 }
 
                 if (can_skip) {
@@ -8505,13 +8524,32 @@ static void ggml_compute_forward_flash_attn_ext_tiled(
                 }
             }
 
-            for (int tq = 0; tq < Q_TILE_SZ; tq++) {
-                const void * q_row = (const char *)Q_q + tq * DK * kv_type_size;
-                for (int tk = 0; tk < KV_TILE_SZ; tk++) {
-                    const void * k_row = (const char *) k->data + ((ic + tk)*nbk1 + ik2*nbk2 + ik3*nbk3);
-                    float s;
-                    kv_vec_dot(DK, &s, 0, k_row, 0, q_row, 0, 1);
-                    KQ[tq * KV_TILE_SZ + tk] = s * scale;
+            // Pack K tile transposed: K_f32[dk][kv] so KV_TILE is contiguous (SIMD dim)
+            // Zero-pad the last tile so the GEMM always operates on KV_TILE_SZ columns
+            for (int tk = 0; tk < kv_tile; tk++) {
+                const char * k_data = (const char *)k->data + (ic + tk)*nbk1 + ik2*nbk2 + ik3*nbk3;
+                if (kv_type == GGML_TYPE_F16) {
+                    const ggml_fp16_t * k_f16 = (const ggml_fp16_t *)k_data;
+                    for (int64_t dk = 0; dk < DK; dk++) {
+                        K_f32[dk * KV_TILE_SZ + tk] = GGML_CPU_FP16_TO_FP32(k_f16[dk]);
+                    }
+                } else {
+                    const float * k_f32_src = (const float *)k_data;
+                    for (int64_t dk = 0; dk < DK; dk++) {
+                        K_f32[dk * KV_TILE_SZ + tk] = k_f32_src[dk];
+                    }
+                }
+            }
+            memset(KQ, 0, Q_TILE_SZ * KV_TILE_SZ * sizeof(float));
+            simd_gemm(KQ, (const float *)Q_q, K_f32, Q_TILE_SZ, DK, KV_TILE_SZ);
+            ggml_vec_scale_f32(Q_TILE_SZ * KV_TILE_SZ, KQ, scale);
+
+            // Set padded KQ entries to -inf so softmax gives them zero weight
+            if (kv_tile < KV_TILE_SZ) {
+                for (int tq = 0; tq < Q_TILE_SZ; tq++) {
+                    for (int tk = kv_tile; tk < KV_TILE_SZ; tk++) {
+                        KQ[tq * KV_TILE_SZ + tk] = -INFINITY;
+                    }
                 }
             }
 
@@ -8551,33 +8589,22 @@ static void ggml_compute_forward_flash_attn_ext_tiled(
                 S[tq] += ggml_vec_soft_max_f32(KV_TILE_SZ, kq_row, kq_row, Mnew);
             }
 
-            // Convert V tile to F32 first (if F16), then do MAD
-            // On x86, ggml_vec_mad_f16 internall converts F16<->F32 on every load/store, so pre-converting is faster.
-            // TODO: on ARM, native f16 should be faster
-            if (kv_type == GGML_TYPE_F16) {
-                for (int tk = 0; tk < KV_TILE_SZ; tk++) {
-                    const ggml_fp16_t * v_row = (const ggml_fp16_t *)((const char *) v->data + ((ic + tk)*nbv1 + iv2*nbv2 + iv3*nbv3));
-                    ggml_fp16_to_fp32_row(v_row, V32 + tk * DV, DV);
-                }
-                for (int tq = 0; tq < Q_TILE_SZ; tq++) {
-                    if (skip[tq]) continue;
-                    float * vkq_row = VKQ32 + tq * DV;
-                    for (int tk = 0; tk < KV_TILE_SZ; tk++) {
-                        const float p = KQ[tq * KV_TILE_SZ + tk];
-                        ggml_vec_mad_f32(DV, vkq_row, V32 + tk * DV, p);
-                    }
+            // V accumulation: VKQ32 += softmax(KQ) * V
+            // Pack V tile to contiguous F32, zero-padded
+            for (int tk = 0; tk < kv_tile; tk++) {
+                const char * v_data = (const char *)v->data + (ic + tk)*nbv1 + iv2*nbv2 + iv3*nbv3;
+                if (kv_type == GGML_TYPE_F16) {
+                    ggml_fp16_to_fp32_row((const ggml_fp16_t *)v_data, V32 + tk * DV, DV);
+                } else {
+                    memcpy(V32 + tk * DV, v_data, DV * sizeof(float));
                 }
-            } else {
-                for (int tq = 0; tq < Q_TILE_SZ; tq++) {
-                    if (skip[tq]) continue;
-                    float * vkq_row = VKQ32 + tq * DV;
-                    for (int tk = 0; tk < KV_TILE_SZ; tk++) {
-                        const float p = KQ[tq * KV_TILE_SZ + tk];
-                        const float * v_row = (const float *)((const char *) v->data + ((ic + tk)*nbv1 + iv2*nbv2 + iv3*nbv3));
-                        ggml_vec_mad_f32(DV, vkq_row, v_row, p);
-                    }
+            }
+            for (int tq = 0; tq < Q_TILE_SZ; tq++) {
+                if (skip[tq]) {
+                    memset(KQ + tq * KV_TILE_SZ, 0, KV_TILE_SZ * sizeof(float));
                 }
             }
+            simd_gemm(VKQ32, KQ, V32, Q_TILE_SZ, KV_TILE_SZ, DV);
         }
 
         // sinks (apply only to valid rows in the tile)
@@ -8794,15 +8821,15 @@ static void ggml_compute_forward_flash_attn_ext_f16(
 
         const int64_t dr = (nr + nchunk - 1) / nchunk;
 
-        static constexpr int64_t KV_TILE_SZ = ggml_fa_tile_config::KV;
         static constexpr int64_t Q_TILE_SZ  = ggml_fa_tile_config::Q;
-        const bool use_tiled = !use_ref &&
+        bool use_tiled = !use_ref &&
                                (q->type == GGML_TYPE_F32 &&
                                 kv_is_f32_or_f16 &&
                                 k->type == v->type &&
-                                nek1 % KV_TILE_SZ == 0 &&
                                 neq1 >= Q_TILE_SZ);
-
+#ifdef GGML_SIMD
+        use_tiled &= (DV % GGML_F32_EPR == 0);
+#endif
         int current_chunk = ith;
 
         while (current_chunk < nchunk) {
@@ -9597,7 +9624,7 @@ void ggml_compute_forward_win_unpart(
     }
 }
 
-//gmml_compute_forward_unary
+//ggml_compute_forward_unary
 
 void ggml_compute_forward_unary(
         const ggml_compute_params * params,
@@ -10360,6 +10387,195 @@ void ggml_compute_forward_solve_tri(const struct ggml_compute_params * params, s
     }
 }
 
+// ggml_compute_forward_gated_delta_net
+static void ggml_compute_forward_gated_delta_net_one_chunk(
+    const ggml_compute_params * params,
+    ggml_tensor * dst,
+    int64_t ir0,
+    int64_t ir1) {
+
+    ggml_tensor * src_q     = dst->src[0];
+    ggml_tensor * src_k     = dst->src[1];
+    ggml_tensor * src_v     = dst->src[2];
+    ggml_tensor * src_g     = dst->src[3];
+    ggml_tensor * src_beta  = dst->src[4];
+    ggml_tensor * src_state = dst->src[5];
+
+    const int64_t S_v      = src_v->ne[0];
+    const int64_t H        = src_v->ne[1];
+    const int64_t n_tokens = src_v->ne[2];
+    const int64_t n_seqs   = src_v->ne[3];
+
+    GGML_ASSERT(ggml_is_contiguous_rows(src_q));
+    GGML_ASSERT(ggml_is_contiguous_rows(src_k));
+    GGML_ASSERT(ggml_is_contiguous_rows(src_v));
+    GGML_ASSERT(ggml_is_contiguous(src_g));
+    GGML_ASSERT(ggml_is_contiguous(src_beta));
+    GGML_ASSERT(ggml_is_contiguous(src_state));
+
+    GGML_ASSERT(src_g->ne[0] == 1 || src_g->ne[0] == S_v);
+    GGML_ASSERT(src_beta->ne[0] == 1);
+
+    GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne);
+    GGML_TENSOR_LOCALS(size_t,  nbq, src_q, nb);
+    GGML_TENSOR_LOCALS(int64_t, nek, src_k, ne);
+    GGML_TENSOR_LOCALS(size_t,  nbk, src_k, nb);
+    GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne);
+    GGML_TENSOR_LOCALS(size_t,  nbv, src_v, nb);
+    GGML_TENSOR_LOCALS(int64_t, neg, src_g, ne);
+    GGML_TENSOR_LOCALS(size_t,  nbg, src_g, nb);
+    GGML_TENSOR_LOCALS(size_t,  nbb, src_beta, nb);
+
+    const bool kda = (neg0 == S_v);
+
+    // scratch layout per thread: [delta(S_v)]
+    const int64_t scratch_per_thread = S_v;
+    const int ith = params->ith;
+
+    float * delta = (float *)params->wdata + ith * scratch_per_thread + CACHE_LINE_SIZE_F32;
+
+    // output layout: [attn_scores | new_states]
+    // attn_scores: S_v * H * n_tokens * n_seqs floats
+    // new_states:  S_v * S_v * H * n_seqs floats
+    const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs;
+    float * attn_out_base  = (float *)dst->data;
+    float * state_out_base = (float *)dst->data + attn_score_elems;
+
+    const float * state_in_base = (const float *)src_state->data;
+
+  //const int64_t rq1 = nev1 / neq1;
+  //const int64_t rk1 = nev1 / nek1;
+    const int64_t rq3 = nev3 / neq3;
+    const int64_t rk3 = nev3 / nek3;
+
+    const float scale = 1.0f / sqrtf((float) S_v);
+
+    for (int64_t ir = ir0; ir < ir1; ++ir) {
+        const int64_t iv1 = ir % H; // head_index
+        const int64_t iv3 = ir / H; // sequence
+
+        const int64_t iq1 = iv1 % neq1;
+        const int64_t ik1 = iv1 % nek1;
+
+        const int64_t iq3 = iv3 / rq3;
+        const int64_t ik3 = iv3 / rk3;
+
+        float * s_out = state_out_base + (iv3 * H + iv1) * S_v * S_v;
+
+        // copy input state into output buffer and operate in-place
+        const float * s_in = state_in_base + (iv3 * H + iv1) * S_v * S_v;
+        memcpy(s_out, s_in, S_v * S_v * sizeof(float));
+
+        // attn output pointer for first token of this (head, seq)
+        float * attn_data = attn_out_base + (iv3 * n_tokens * H + iv1) * S_v;
+
+        for (int64_t t = 0; t < n_tokens; t++) {
+            const float * q_d = (const float *)((const char *)src_q->data + iq3 * nbq3 + t * nbq2 + iq1 * nbq1);
+            const float * k_d = (const float *)((const char *)src_k->data + ik3 * nbk3 + t * nbk2 + ik1 * nbk1);
+            const float * v_d = (const float *)((const char *)src_v->data + iv3 * nbv3 + t * nbv2 + iv1 * nbv1);
+
+            const float beta_val = *(const float *)((const char *)src_beta->data + iv3 * nbb3 + t * nbb2 + iv1 * nbb1);
+            const float * g_d    =  (const float *)((const char *)src_g->data    + iv3 * nbg3 + t * nbg2 + iv1 * nbg1);
+
+            // state is stored transposed: s_out[j*S_v + i] = S[i][j]
+            // so row j of s_out = column j of S (contiguous access)
+
+            if (kda) {
+                // precompute exp(g) into delta scratch (reused below)
+                for (int64_t i = 0; i < S_v; ++i) {
+                    delta[i] = expf(g_d[i]);
+                }
+                // S[i][:] *= exp(g[i]) => for each row j of M: M[j][i] *= exp(g[i])
+                for (int64_t j = 0; j < S_v; ++j) {
+                    ggml_vec_mul_f32(S_v, &s_out[j * S_v], &s_out[j * S_v], delta);
+                }
+            } else {
+                ggml_vec_scale_f32(S_v * S_v, s_out, expf(g_d[0]));
+            }
+
+            // delta[j] = sum_i S[i][j] * k[i] = dot(row j of M, k)
+            for (int64_t j = 0; j < S_v; ++j) {
+                float sum = 0.0f;
+                ggml_vec_dot_f32(S_v, &sum, 0, &s_out[j * S_v], 0, k_d, 0, 1);
+                delta[j] = (v_d[j] - sum) * beta_val;
+            }
+
+            // outer product: S[i][j] += k[i] * delta[j] => M[j][i] += delta[j] * k[i]
+            for (int64_t j = 0; j < S_v; ++j) {
+                ggml_vec_mad_f32(S_v, &s_out[j * S_v], k_d, delta[j]);
+            }
+
+            // attn_out[j] = sum_i S[i][j] * q[i] = dot(row j of M, q)
+            for (int64_t j = 0; j < S_v; ++j) {
+                float sum = 0.0f;
+                ggml_vec_dot_f32(S_v, &sum, 0, &s_out[j * S_v], 0, q_d, 0, 1);
+                attn_data[j] = sum * scale;
+            }
+
+            attn_data += S_v * H; // advance to next token
+        }
+    }
+}
+
+
+static void ggml_compute_forward_gated_delta_net_f32(
+        const ggml_compute_params * params,
+        ggml_tensor * dst) {
+
+    ggml_tensor * V = dst->src[2];
+    int64_t nr = V->ne[1] * V->ne[3];
+
+    // disable for NUMA
+    const bool disable_chunking = ggml_is_numa();
+
+    int nth = params->nth;
+    int ith = params->ith;
+
+    // 4x chunks per thread
+    int nth_scaled = nth * 4;
+    int64_t chunk_size = (nr + nth_scaled - 1) / nth_scaled;
+    int64_t nchunk     = (nr + chunk_size - 1) / chunk_size;
+
+    if (nth == 1 || nchunk < nth || disable_chunking) {
+      nchunk = nth;
+    }
+
+    if (ith == 0) {
+      ggml_threadpool_chunk_set(params->threadpool, nth);
+    }
+
+    ggml_barrier(params->threadpool);
+
+    const int64_t dr = (nr + nchunk - 1) / nchunk;
+
+    int current_chunk = ith;
+
+    while (current_chunk < nchunk) {
+        const int64_t ir0 = dr * current_chunk;
+        const int64_t ir1 = MIN(ir0 + dr, nr);
+
+        ggml_compute_forward_gated_delta_net_one_chunk(params, dst, ir0, ir1);
+        current_chunk = ggml_threadpool_chunk_add(params->threadpool, 1);
+    }
+}
+
+void ggml_compute_forward_gated_delta_net(
+        const ggml_compute_params * params,
+        ggml_tensor * dst) {
+    const ggml_tensor * src0 = dst->src[0];
+
+    switch (src0->type) {
+        case GGML_TYPE_F32:
+            {
+                ggml_compute_forward_gated_delta_net_f32(params, dst);
+            } break;
+        default:
+            {
+                GGML_ABORT("fatal error");
+            }
+    }
+}
+
 // ggml_compute_forward_rwkv_wkv7
 
 static void ggml_compute_forward_rwkv_wkv7_f32(
@@ -10685,7 +10901,7 @@ static void ggml_compute_forward_cross_entropy_loss_f32(
             assert(!isnan(s0[i]));
             assert(!isnan(s1[i]));
         }
-#endif
+#endif // NDEBUG
 
         float max = -INFINITY;
         ggml_vec_max_f32(nc, &max, s0);
@@ -10704,7 +10920,7 @@ static void ggml_compute_forward_cross_entropy_loss_f32(
             assert(!isnan(st[i]));
             assert(!isinf(st[i]));
         }
-#endif
+#endif // NDEBUG
     }
     sums[ith] = sum_thread;
     ggml_barrier(params->threadpool);
@@ -10777,7 +10993,7 @@ static void ggml_compute_forward_cross_entropy_loss_back_f32(
             assert(!isnan(s0[i]));
             assert(!isnan(s1[i]));
         }
-#endif
+#endif // NDEBUG
 
         // soft_max
         float max = -INFINITY;
@@ -10795,7 +11011,7 @@ static void ggml_compute_forward_cross_entropy_loss_back_f32(
             assert(!isnan(ds0[i]));
             assert(!isinf(ds0[i]));
         }
-#endif
+#endif // NDEBUG
     }
 }
 
diff --git a/ggml/src/ggml-cpu/ops.h b/ggml/src/ggml-cpu/ops.h
index 0fdfee79766..3fa1443abc4 100644
--- a/ggml/src/ggml-cpu/ops.h
+++ b/ggml/src/ggml-cpu/ops.h
@@ -102,6 +102,7 @@ void ggml_compute_forward_rwkv_wkv6(const struct ggml_compute_params * params, s
 void ggml_compute_forward_rwkv_wkv7(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_solve_tri(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_gla(const struct ggml_compute_params * params, struct ggml_tensor * dst);
+void ggml_compute_forward_gated_delta_net(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_map_custom1(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_map_custom2(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_map_custom3(const struct ggml_compute_params * params, struct ggml_tensor * dst);
diff --git a/ggml/src/ggml-cpu/quants.c b/ggml/src/ggml-cpu/quants.c
index 365cb36d2d7..7ebbb9c6f15 100644
--- a/ggml/src/ggml-cpu/quants.c
+++ b/ggml/src/ggml-cpu/quants.c
@@ -50,6 +50,10 @@ void quantize_row_mxfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, i
     quantize_row_mxfp4_ref(x, y, k);
 }
 
+void quantize_row_nvfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) {
+    quantize_row_nvfp4_ref(x, y, k);
+}
+
 //
 // 2-6 bit quantization in super-blocks
 //
@@ -216,6 +220,42 @@ void ggml_vec_dot_mxfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs,
     *s = sumf;
 }
 
+// NVFP4: super-block of 64 elements = 4 sub-blocks of 16 = 2 q8_0 blocks
+void ggml_vec_dot_nvfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_NVFP4 == 0);
+
+    const block_nvfp4 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_NVFP4;
+
+    float sumf = 0;
+
+    for (int ib = 0; ib < nb; ++ib) {
+        for (int s_idx = 0; s_idx < 4; ++s_idx) {
+            const float d = ggml_ue4m3_to_fp32(x[ib].d[s_idx]);
+            const int q8_block = s_idx / 2;
+            const int q8_off   = (s_idx % 2) * QK_NVFP4_SUB;
+            const float dy = GGML_CPU_FP16_TO_FP32(y[2*ib + q8_block].d);
+
+            int sumi_lo = 0, sumi_hi = 0;
+            for (int j = 0; j < QK_NVFP4_SUB/2; ++j) {
+                const uint8_t qv = x[ib].qs[s_idx*(QK_NVFP4_SUB/2) + j];
+                sumi_lo += y[2*ib + q8_block].qs[q8_off + j +               0] * kvalues_mxfp4[qv & 0xf];
+                sumi_hi += y[2*ib + q8_block].qs[q8_off + j + QK_NVFP4_SUB/2] * kvalues_mxfp4[qv >>  4];
+            }
+
+            sumf += dy * d * (sumi_lo + sumi_hi);
+        }
+    }
+    *s = sumf;
+}
+
 void ggml_vec_dot_q5_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
diff --git a/ggml/src/ggml-cpu/quants.h b/ggml/src/ggml-cpu/quants.h
index d83eb1b144d..3584aaa43e8 100644
--- a/ggml/src/ggml-cpu/quants.h
+++ b/ggml/src/ggml-cpu/quants.h
@@ -20,6 +20,7 @@ void quantize_row_q8_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, in
 void quantize_row_q8_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 
 void quantize_row_mxfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
+void quantize_row_nvfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 
 void quantize_row_q2_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q3_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
@@ -42,6 +43,7 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const voi
 void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 
 void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
+void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 
 void ggml_vec_dot_q2_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q3_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
@@ -73,6 +75,7 @@ void ggml_vec_dot_q5_1_q8_1_generic(int n, float * GGML_RESTRICT s, size_t bs, c
 void ggml_vec_dot_q8_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 
 void ggml_vec_dot_mxfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
+void ggml_vec_dot_nvfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 
 void ggml_vec_dot_tq1_0_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_tq2_0_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
diff --git a/ggml/src/ggml-cpu/repack.cpp b/ggml/src/ggml-cpu/repack.cpp
index 4cb7cdeb07b..6b76ab3bfb1 100644
--- a/ggml/src/ggml-cpu/repack.cpp
+++ b/ggml/src/ggml-cpu/repack.cpp
@@ -48,6 +48,90 @@ static inline int nearest_int(float fval) {
 
 extern "C" {
 
+#if defined __riscv_zvfh
+void ggml_quantize_mat_q8_0_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) {
+    assert(QK8_0 == 32);
+    assert(k % QK8_0 == 0);
+    const int nb = k / QK8_0;
+
+    block_q8_0x4 * GGML_RESTRICT y = (block_q8_0x4 *) vy;
+
+    // scalar
+    const int blck_size_interleave = 1;
+    float srcv[4][QK8_0];
+    float id[4];
+
+    for (int i = 0; i < nb; i++) {
+        for (int row_iter = 0; row_iter < 4; row_iter++) {
+            float amax = 0.0f; // absolute max
+
+            for (int j = 0; j < QK8_0; j++) {
+                srcv[row_iter][j] = x[row_iter * k + i * QK8_0 + j];
+                amax = MAX(amax, fabsf(srcv[row_iter][j]));
+            }
+
+            const float d = amax / ((1 << 7) - 1);
+            id[row_iter] = d ? 1.0f / d : 0.0f;
+
+            y[i].d[row_iter] = GGML_CPU_FP32_TO_FP16(d);
+        }
+
+        for (int j = 0; j < QK8_0 * 4; j++) {
+            int src_offset = (j / (4 * blck_size_interleave)) * blck_size_interleave;
+            int src_id = (j % (4 * blck_size_interleave)) / blck_size_interleave;
+            src_offset += (j % blck_size_interleave);
+
+            float x0 = srcv[src_id][src_offset] * id[src_id];
+            y[i].qs[j] = roundf(x0);
+        }
+    }
+}
+
+void ggml_quantize_mat_q8_K_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) {
+    assert(QK_K == 256);
+    assert(k % QK_K == 0);
+    const int nb = k / QK_K;
+
+    block_q8_Kx4 * GGML_RESTRICT y = (block_q8_Kx4 *) vy;
+
+    const int blck_size_interleave = 1;
+    float srcv[4][QK_K];
+    float iscale[4];
+
+    for (int i = 0; i < nb; i++) {
+        for (int row_iter = 0; row_iter < 4; row_iter++) {
+            float amax = 0.0f; // absolute max
+            float max = 0;
+
+            for (int j = 0; j < QK_K; j++) {
+                srcv[row_iter][j] = x[row_iter * k + i * QK_K + j];
+                // Update the maximum value of the corresponding super block
+                if(amax < fabsf(srcv[row_iter][j])) {
+                    amax = fabsf(srcv[row_iter][j]);
+                    max = srcv[row_iter][j];
+                }
+            }
+
+            iscale[row_iter] = amax ? -127.f/max : 0;
+            y[i].d[row_iter] = amax ? 1/iscale[row_iter] : 0;
+        }
+
+        for (int j = 0; j < QK_K / 4; j++) {
+            y[i].bsums[j] = 0;
+        }
+        for (int j = 0; j < QK_K * 4; j++) {
+            int src_id = j % 4;
+            int src_offset = j / 4;
+            int index = ((j >> 6) << 2) + (j & 3);
+
+            float x0 = srcv[src_id][src_offset] * iscale[src_id];
+            y[i].qs[j] = nearest_int(x0);
+            y[i].bsums[index] += y[i].qs[j];
+        }
+    }
+}
+#endif
+
 void ggml_quantize_mat_q8_0_4x4_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) {
     assert(QK8_0 == 32);
     assert(k % QK8_0 == 0);
@@ -124,7 +208,6 @@ void ggml_quantize_mat_q8_0_4x8_generic(const float * GGML_RESTRICT x, void * GG
     }
 }
 
-
 void ggml_quantize_mat_q8_K_4x4_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) {
     assert(QK_K == 256);
     assert(k % QK_K == 0);
@@ -256,6 +339,20 @@ template <> void ggml_quantize_mat_t<8, GGML_TYPE_Q8_K>(const float * GGML_RESTR
     ggml_quantize_mat_q8_K_4x8(x, vy, n_per_row);
 }
 
+#if defined __riscv_zvfh
+template <> void ggml_quantize_mat_t<1, GGML_TYPE_Q8_0>(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t nrow, int64_t n_per_row) {
+    assert(nrow == 4);
+    UNUSED(nrow);
+    ggml_quantize_mat_q8_0_4x1(x, vy, n_per_row);
+}
+
+template <> void ggml_quantize_mat_t<1, GGML_TYPE_Q8_K>(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t nrow, int64_t n_per_row) {
+    assert(nrow == 4);
+    UNUSED(nrow);
+    ggml_quantize_mat_q8_K_4x1(x, vy, n_per_row);
+}
+#endif
+
 template <int M, int N>
 static void ggml_gemv_q6_K_NxM_q8_K_generic_impl(int                        n,
                                                  float * GGML_RESTRICT      s,
@@ -450,6 +547,208 @@ static void ggml_gemm_q6_K_NxM_q8_K_generic_impl(int                        n,
     }
 }
 
+template <int M, int N>
+static void ggml_gemv_q5_K_NxM_q8_K_generic_impl(int                        n,
+                                                 float * GGML_RESTRICT      s,
+                                                 size_t                     bs,
+                                                 const void * GGML_RESTRICT vx,
+                                                 const void * GGML_RESTRICT vy,
+                                                 int                        nr,
+                                                 int                        nc) {
+    constexpr int         blocklen          = M;
+    constexpr int         ncols_interleaved = N;
+    const int             qk                = QK_K;
+    const int             nb                = n / qk;
+    static const uint32_t kmask1            = 0x3f3f3f3f;
+    static const uint32_t kmask2            = 0x0f0f0f0f;
+    static const uint32_t kmask3            = 0x03030303;
+
+    assert(n % qk == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    UNUSED(bs);
+    UNUSED(nr);
+
+    float    sumf[ncols_interleaved];
+    float    sum_minf[ncols_interleaved];
+    uint32_t utmp[32];
+    int      sumi1;
+    int      sumi2;
+    int      sumi;
+
+    const block_q8_K * a_ptr = (const block_q8_K *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q5_Kx8 * b_ptr = (const block_q5_Kx8 *) vx + (x * nb);
+
+        for (int j = 0; j < ncols_interleaved; j++) {
+            sumf[j]     = 0.0;
+            sum_minf[j] = 0.0;
+        }
+        for (int l = 0; l < nb; l++) {
+            for (int sb = 0; sb < 8; sb++) {
+                memcpy(utmp + sb * 4, b_ptr[l].scales + sb * K_SCALE_SIZE, K_SCALE_SIZE);
+                utmp[sb * 4 + 3]      = ((utmp[sb * 4 + 2] >> 4) & kmask2) | (((utmp[sb * 4 + 1] >> 6) & kmask3) << 4);
+                const uint32_t uaux_0 = utmp[sb * 4 + 1] & kmask1;
+                utmp[sb * 4 + 1]      = (utmp[sb * 4 + 2] & kmask2) | (((utmp[sb * 4 + 0] >> 6) & kmask3) << 4);
+                utmp[sb * 4 + 2]      = uaux_0;
+                utmp[sb * 4 + 0] &= kmask1;
+            }
+            for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                constexpr int scale_stride = 32;
+                uint8_t *     scales_0     = (uint8_t *) utmp + (k / (32 / blocklen)) * scale_stride;
+                uint8_t *     scales_1     = (uint8_t *) utmp + (k / (32 / blocklen)) * scale_stride + 16;
+
+                const int qh_shift = (k / (32 / blocklen)) * 2;
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumi1 = 0;
+                    sumi2 = 0;
+                    sumi  = 0;
+                    for (int i = 0; i < blocklen; ++i) {
+                        const int b_qs_offset = k * ncols_interleaved * blocklen + j * blocklen + i;
+
+                        const int qh_idx      = (k * blocklen + i) % 32;
+                        const int qh_chunk    = qh_idx / blocklen;
+                        const int qh_pos      = qh_idx % blocklen;
+                        const int b_qh_offset = qh_chunk * (blocklen * ncols_interleaved) + j * blocklen + qh_pos;
+
+                        const uint8_t qh_val = b_ptr[l].qh[b_qh_offset];
+                        const uint8_t h0     = (qh_val >> qh_shift) & 1;
+                        const uint8_t h1     = (qh_val >> (qh_shift + 1)) & 1;
+
+                        const int v0 = (int8_t) ((b_ptr[l].qs[b_qs_offset] & 0xF) | (h0 << 4));
+                        const int v1 = (int8_t) ((b_ptr[l].qs[b_qs_offset] >> 4) | (h1 << 4));
+
+                        const int q8_offset = (k / (32 / blocklen)) * 64 + (k % (32 / blocklen)) * blocklen + i;
+
+                        sumi1 = (v0 * a_ptr[l].qs[q8_offset]);
+                        sumi2 = (v1 * a_ptr[l].qs[q8_offset + 32]);
+                        sumi1 = sumi1 * scales_0[j];
+                        sumi2 = sumi2 * scales_1[j];
+                        sumi += sumi1 + sumi2;
+                    }
+                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d;
+                }
+            }
+            for (int sb = 0; sb < 8; sb++) {
+                uint8_t * mins = (uint8_t *) utmp + 8 + sb * 16;
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sum_minf[j] += mins[j] * (a_ptr[l].bsums[sb * 2] + a_ptr[l].bsums[sb * 2 + 1]) *
+                                   GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d;
+                }
+            }
+        }
+        for (int j = 0; j < ncols_interleaved; j++) {
+            s[x * ncols_interleaved + j] = sumf[j] - sum_minf[j];
+        }
+    }
+}
+
+template <int M, int N>
+static void ggml_gemm_q5_K_NxM_q8_K_generic_impl(int                        n,
+                                                 float * GGML_RESTRICT      s,
+                                                 size_t                     bs,
+                                                 const void * GGML_RESTRICT vx,
+                                                 const void * GGML_RESTRICT vy,
+                                                 int                        nr,
+                                                 int                        nc) {
+    constexpr int         blocklen          = M;
+    constexpr int         ncols_interleaved = N;
+    const int             qk                = QK_K;
+    const int             nb                = n / qk;
+    static const uint32_t kmask1            = 0x3f3f3f3f;
+    static const uint32_t kmask2            = 0x0f0f0f0f;
+    static const uint32_t kmask3            = 0x03030303;
+
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    float    sumf[4][ncols_interleaved];
+    float    sum_minf[4][ncols_interleaved];
+    uint32_t utmp[32];
+    int      sumi1;
+    int      sumi2;
+    int      sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_Kx4 * a_ptr = (const block_q8_Kx4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q5_Kx8 * b_ptr = (const block_q5_Kx8 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumf[m][j]     = 0.0;
+                    sum_minf[m][j] = 0.0;
+                }
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int sb = 0; sb < 8; sb++) {
+                    memcpy(utmp + sb * 4, b_ptr[l].scales + sb * K_SCALE_SIZE, K_SCALE_SIZE);
+                    utmp[sb * 4 + 3] = ((utmp[sb * 4 + 2] >> 4) & kmask2) | (((utmp[sb * 4 + 1] >> 6) & kmask3) << 4);
+                    const uint32_t uaux_0 = utmp[sb * 4 + 1] & kmask1;
+                    utmp[sb * 4 + 1]      = (utmp[sb * 4 + 2] & kmask2) | (((utmp[sb * 4 + 0] >> 6) & kmask3) << 4);
+                    utmp[sb * 4 + 2]      = uaux_0;
+                    utmp[sb * 4 + 0] &= kmask1;
+                }
+                for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                    constexpr int scale_stride = 32;
+                    uint8_t *     scales_0     = (uint8_t *) utmp + (k / (32 / blocklen)) * scale_stride;
+                    uint8_t *     scales_1     = (uint8_t *) utmp + (k / (32 / blocklen)) * scale_stride + 16;
+
+                    const int qh_shift = (k / (32 / blocklen)) * 2;
+                    for (int m = 0; m < 4; m++) {
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sumi1 = 0;
+                            sumi2 = 0;
+                            sumi  = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int b_qs_offset = k * ncols_interleaved * blocklen + j * blocklen + i;
+
+                                const int qh_idx   = (k * blocklen + i) % 32;
+                                const int qh_chunk = qh_idx / blocklen;
+                                const int qh_pos   = qh_idx % blocklen;
+                                const int b_qh_offset =
+                                    qh_chunk * (blocklen * ncols_interleaved) + j * blocklen + qh_pos;
+
+                                const uint8_t qh_val = b_ptr[l].qh[b_qh_offset];
+                                const uint8_t h0     = (qh_val >> qh_shift) & 1;
+                                const uint8_t h1     = (qh_val >> (qh_shift + 1)) & 1;
+
+                                const int v0 = (int8_t) ((b_ptr[l].qs[b_qs_offset] & 0xF) | (h0 << 4));
+                                const int v1 = (int8_t) ((b_ptr[l].qs[b_qs_offset] >> 4) | (h1 << 4));
+
+                                const int q8_offset = (k / (32 / blocklen)) * 256 +
+                                                      (k % (32 / blocklen)) * 4 * blocklen + m * blocklen + i;
+
+                                sumi1 = (v0 * a_ptr[l].qs[q8_offset]);
+                                sumi2 = (v1 * a_ptr[l].qs[q8_offset + 128]);
+                                sumi1 = sumi1 * scales_0[j];
+                                sumi2 = sumi2 * scales_1[j];
+                                sumi += sumi1 + sumi2;
+                            }
+                            sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d[m];
+                        }
+                    }
+                }
+                for (int sb = 0; sb < 8; sb++) {
+                    uint8_t * mins = (uint8_t *) utmp + 8 + sb * 16;
+                    for (int m = 0; m < 4; m++) {
+                        const int16_t * bsums = a_ptr[l].bsums + (sb * 8) + (m * 4) - ((sb % 2) * 6);
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sum_minf[m][j] += mins[j] * (bsums[0] + bsums[1]) *
+                                              GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d[m];
+                        }
+                    }
+                }
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j] - sum_minf[m][j];
+                }
+            }
+        }
+    }
+}
+
 extern "C" {
 
 void ggml_gemv_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
@@ -803,110 +1102,100 @@ void ggml_gemv_q2_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs,
     }
 }
 
-void ggml_gemv_q5_K_8x8_q8_K_generic(int                        n,
-                                     float * GGML_RESTRICT      s,
-                                     size_t                     bs,
-                                     const void * GGML_RESTRICT vx,
-                                     const void * GGML_RESTRICT vy,
-                                     int                        nr,
-                                     int                        nc) {
-    const int             qk                = QK_K;
-    const int             nb                = n / qk;
-    const int             ncols_interleaved = 8;
-    const int             blocklen          = 8;
-    static const uint32_t kmask1            = 0x3f3f3f3f;
-    static const uint32_t kmask2            = 0x0f0f0f0f;
-    static const uint32_t kmask3            = 0x03030303;
+void ggml_gemv_q5_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemv_q5_K_NxM_q8_K_generic_impl<4, 8>(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_q5_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemv_q5_K_NxM_q8_K_generic_impl<8, 8>(n, s, bs, vx, vy, nr, nc);
+}
+
+
+void ggml_gemv_q6_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemv_q6_K_NxM_q8_K_generic_impl<4, 8>(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_q6_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemv_q6_K_NxM_q8_K_generic_impl<8, 8>(n, s, bs, vx, vy, nr, nc);
+}
+
+void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 4;
 
+    assert(nr == 1);
     assert(n % qk == 0);
     assert(nc % ncols_interleaved == 0);
 
     UNUSED(bs);
     UNUSED(nr);
 
-    float    sumf[8];
-    float    sum_minf[8];
-    uint32_t utmp[32];
-    int      sumi1;
-    int      sumi2;
-    int      sumi;
+    float sumf[4];
+    int sumi;
 
-    const block_q8_K * a_ptr = (const block_q8_K *) vy;
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
     for (int x = 0; x < nc / ncols_interleaved; x++) {
-        const block_q5_Kx8 * b_ptr = (const block_q5_Kx8 *) vx + (x * nb);
+        const block_iq4_nlx4 * b_ptr = (const block_iq4_nlx4 *) vx + (x * nb);
 
-        for (int j = 0; j < ncols_interleaved; j++) {
-            sumf[j]     = 0.0;
-            sum_minf[j] = 0.0;
-        }
+        for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
         for (int l = 0; l < nb; l++) {
-            for (int sb = 0; sb < 8; sb++) {
-                memcpy(utmp + sb * 4, b_ptr[l].scales + sb * 12, 12);
-                utmp[sb * 4 + 3]      = ((utmp[sb * 4 + 2] >> 4) & kmask2) | (((utmp[sb * 4 + 1] >> 6) & kmask3) << 4);
-                const uint32_t uaux_0 = utmp[sb * 4 + 1] & kmask1;
-                utmp[sb * 4 + 1]      = (utmp[sb * 4 + 2] & kmask2) | (((utmp[sb * 4 + 0] >> 6) & kmask3) << 4);
-                utmp[sb * 4 + 2]      = uaux_0;
-                utmp[sb * 4 + 0] &= kmask1;
-            }
             for (int k = 0; k < (qk / (2 * blocklen)); k++) {
-                uint8_t * scales_0 = (uint8_t *) utmp + (k / 4) * 32;
-                uint8_t * scales_1 = (uint8_t *) utmp + (k / 4) * 32 + 16;
-
-                const int qh_shift = (k / 4) * 2;
                 for (int j = 0; j < ncols_interleaved; j++) {
-                    sumi1 = 0;
-                    sumi2 = 0;
-                    sumi  = 0;
+                    sumi = 0;
                     for (int i = 0; i < blocklen; ++i) {
-                        const int b_qs_offset = k * ncols_interleaved * blocklen + j * blocklen + i;
+                        const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                        const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                        sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2]));
+                    }
+                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
+                }
+            }
+        }
+        for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j];
+    }
+}
 
-                        const int qh_idx      = (k * 8 + i) % 32;
-                        const int qh_chunk    = qh_idx / 8;
-                        const int qh_pos      = qh_idx % 8;
-                        const int b_qh_offset = qh_chunk * 64 + j * 8 + qh_pos;
+void ggml_gemv_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 8;
+    const int blocklen = 8;
 
-                        const uint8_t qh_val = b_ptr[l].qh[b_qh_offset];
-                        const uint8_t h0     = (qh_val >> qh_shift) & 1;
-                        const uint8_t h1     = (qh_val >> (qh_shift + 1)) & 1;
+    assert(nr == 1);
+    assert(n % qk == 0);
+    assert(nc % ncols_interleaved == 0);
 
-                        const int v0 = (int8_t) ((b_ptr[l].qs[b_qs_offset] & 0xF) | (h0 << 4));
-                        const int v1 = (int8_t) ((b_ptr[l].qs[b_qs_offset] >> 4) | (h1 << 4));
+    UNUSED(bs);
+    UNUSED(nr);
 
-                        const int q8_offset = (k >> 2) * 64 + (k % 4) * blocklen + i;
+    float sumf[8];
+    int sumi;
 
-                        sumi1 = (v0 * a_ptr[l].qs[q8_offset]);
-                        sumi2 = (v1 * a_ptr[l].qs[q8_offset + 32]);
-                        sumi1 = sumi1 * scales_0[j];
-                        sumi2 = sumi2 * scales_1[j];
-                        sumi += sumi1 + sumi2;
-                    }
-                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d;
-                }
-            }
-            for (int sb = 0; sb < 8; sb++) {
-                uint8_t * mins = (uint8_t *) utmp + 8 + sb * 16;
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_iq4_nlx8 * b_ptr = (const block_iq4_nlx8 *) vx + (x * nb);
+
+        for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
+        for (int l = 0; l < nb; l++) {
+            for (int k = 0; k < (qk / (2 * blocklen)); k++) {
                 for (int j = 0; j < ncols_interleaved; j++) {
-                    sum_minf[j] += mins[j] * (a_ptr[l].bsums[sb * 2] + a_ptr[l].bsums[sb * 2 + 1]) *
-                                   GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d;
+                    sumi = 0;
+                    for (int i = 0; i < blocklen; ++i) {
+                        const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                        const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                        sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2]));
+                    }
+                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
                 }
             }
         }
-        for (int j = 0; j < ncols_interleaved; j++) {
-            s[x * ncols_interleaved + j] = sumf[j] - sum_minf[j];
-        }
+        for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j];
     }
 }
 
-
-void ggml_gemv_q6_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
-    ggml_gemv_q6_K_NxM_q8_K_generic_impl<4, 8>(n, s, bs, vx, vy, nr, nc);
-}
-
-void ggml_gemv_q6_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
-    ggml_gemv_q6_K_NxM_q8_K_generic_impl<8, 8>(n, s, bs, vx, vy, nr, nc);
-}
-
-void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+void ggml_gemv_mxfp4_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
     const int ncols_interleaved = 4;
@@ -924,7 +1213,7 @@ void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
 
     const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
     for (int x = 0; x < nc / ncols_interleaved; x++) {
-        const block_iq4_nlx4 * b_ptr = (const block_iq4_nlx4 *) vx + (x * nb);
+        const block_mxfp4x4 * b_ptr = (const block_mxfp4x4 *) vx + (x * nb);
 
         for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
         for (int l = 0; l < nb; l++) {
@@ -932,11 +1221,11 @@ void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
                 for (int j = 0; j < ncols_interleaved; j++) {
                     sumi = 0;
                     for (int i = 0; i < blocklen; ++i) {
-                        const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
-                        const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                        const int v0 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                        const int v1 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
                         sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2]));
                     }
-                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
+                    sumf[j] += sumi * GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
                 }
             }
         }
@@ -944,7 +1233,7 @@ void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
     }
 }
 
-void ggml_gemv_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+void ggml_gemv_mxfp4_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
     const int ncols_interleaved = 8;
@@ -962,7 +1251,7 @@ void ggml_gemv_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
 
     const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
     for (int x = 0; x < nc / ncols_interleaved; x++) {
-        const block_iq4_nlx8 * b_ptr = (const block_iq4_nlx8 *) vx + (x * nb);
+        const block_mxfp4x8 * b_ptr = (const block_mxfp4x8 *) vx + (x * nb);
 
         for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
         for (int l = 0; l < nb; l++) {
@@ -970,11 +1259,11 @@ void ggml_gemv_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
                 for (int j = 0; j < ncols_interleaved; j++) {
                     sumi = 0;
                     for (int i = 0; i < blocklen; ++i) {
-                        const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
-                        const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                        const int v0 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                        const int v1 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
                         sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2]));
                     }
-                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
+                    sumf[j] += sumi * GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
                 }
             }
         }
@@ -1076,14 +1365,14 @@ void ggml_gemv_q8_0_4x8_q8_0_generic(int                        n,
     }
 }
 
-void ggml_gemm_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+#if defined __riscv_zvfh
+void ggml_gemv_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
-    const int ncols_interleaved = 4;
-    const int blocklen = 4;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
 
     assert (n % qk == 0);
-    assert (nr % 4 == 0);
     assert (nc % ncols_interleaved == 0);
 
     UNUSED(s);
@@ -1096,52 +1385,38 @@ void ggml_gemm_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs,
     UNUSED(ncols_interleaved);
     UNUSED(blocklen);
 
-    {
-        float sumf[4][4];
-        int sumi;
+    float sumf[16];
+    int sumi;
 
-        for (int y = 0; y < nr / 4; y++) {
-            const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
-            for (int x = 0; x < nc / ncols_interleaved; x++) {
-                const block_q4_0x4 * b_ptr = (const block_q4_0x4 *) vx + (x * nb);
-                for (int m = 0; m < 4; m++) {
-                    for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
-                }
-                for (int l = 0; l < nb; l++) {
-                    for (int k = 0; k < (qk / (2 * blocklen)); k++) {
-                        for (int m = 0; m < 4; m++) {
-                            for (int j = 0; j < ncols_interleaved; j++) {
-                                sumi = 0;
-                                for (int i = 0; i < blocklen; ++i) {
-                                    const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
-                                    const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
-                                    sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
-                                            (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4;
-                                }
-                                sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
-                            }
-                        }
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb);
+
+        for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
+        for (int l = 0; l < nb; l++) {
+            for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumi = 0;
+                    for (int i = 0; i < blocklen; ++i) {
+                        const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
+                        const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
+                        sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2])) >> 4;
                     }
-                }
-                for (int m = 0; m < 4; m++) {
-                    for (int j = 0; j < ncols_interleaved; j++)
-                        s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
                 }
             }
         }
+        for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j];
     }
 }
 
-void ggml_gemm_q4_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
-    const int qk = QK8_0;
+void ggml_gemv_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK_K;
     const int nb = n / qk;
-    const int ncols_interleaved = 4;
-    const int blocklen = 8;
-
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
     assert (n % qk == 0);
-    assert (nr % 4 == 0);
     assert (nc % ncols_interleaved == 0);
-
     UNUSED(s);
     UNUSED(bs);
     UNUSED(vx);
@@ -1151,66 +1426,368 @@ void ggml_gemm_q4_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs,
     UNUSED(nb);
     UNUSED(ncols_interleaved);
     UNUSED(blocklen);
-
-    float sumf[4][4];
+    float sumf[16];
+    float sum_minf[16];
+    uint8_t scales[128];
+    uint8_t mins[128];
+    int sumi1;
+    int sumi2;
     int sumi;
-
-    for (int y = 0; y < nr / 4; y++) {
-        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
-        for (int x = 0; x < nc / ncols_interleaved; x++) {
-            const block_q4_0x4 * b_ptr = (const block_q4_0x4 *) vx + (x * nb);
-            for (int m = 0; m < 4; m++) {
-                for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+    const block_q8_K * a_ptr = (const block_q8_K *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb);
+        for (int j = 0; j < ncols_interleaved; j++) {
+            sumf[j] = 0.0f;
+            sum_minf[j] = 0.0f;
+        }
+        for (int l = 0; l < nb; l++) {
+            for (int i = 0; i < 128; i++) {
+                scales[i] = b_ptr[l].scales[i] & 0x0F;
+                mins[i] = b_ptr[l].scales[i] >> 4;
             }
-            for (int l = 0; l < nb; l++) {
-                for (int k = 0; k < (qk / (2 * blocklen)); k++) {
-                    for (int m = 0; m < 4; m++) {
-                        for (int j = 0; j < ncols_interleaved; j++) {
-                            sumi = 0;
-                            for (int i = 0; i < blocklen; ++i) {
-                                const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
-                                const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
-                                sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
-                                        (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4;
-                            }
-                            sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
-                        }
-                    }
+            for (int i = 0; i < 64; i++) {
+                scales[i] |= (b_ptr[l].scales[128 + i] & 0x03) << 4;
+                mins[i] |= (b_ptr[l].scales[128 + i] & 0x0C) << 2;
+                scales[i + 64] |= (b_ptr[l].scales[128 + i] & 0x30);
+                mins[i + 64] |= (b_ptr[l].scales[128 + i] & 0xC0) >> 2;
+            }
+            for (int sb = 0; sb < 8; sb++) {
+                uint8_t *min = &mins[sb * 16];
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sum_minf[j] += min[j] * (a_ptr[l].bsums[sb * 2] + a_ptr[l].bsums[sb * 2 + 1]) * GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d;
                 }
             }
-            for (int m = 0; m < 4; m++) {
-                for (int j = 0; j < ncols_interleaved; j++)
-                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            for (int sb = 0; sb < 8; sb += 2) {
+                uint8_t *scales_0 = &scales[sb * 16];
+                uint8_t *scales_1 = &scales[(sb + 1) * 16];
+                for (int i = 0; i < QK4_0; i++) {
+                    for (int j = 0; j < ncols_interleaved; j++) {
+                        sumi1 = 0;
+                        sumi2 = 0;
+                        sumi = 0;
+                        const int v0 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] & 0xF);
+                        const int v1 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] >> 4);
+                        sumi1 = (v0 * a_ptr[l].qs[sb * 32 + i]);
+                        sumi2 = (v1 * a_ptr[l].qs[sb * 32 + 32 + i]);
+                        sumi1 = sumi1 * scales_0[j];
+                        sumi2 = sumi2 * scales_1[j];
+                        sumi += sumi1 + sumi2;
+                        sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d;
+                    }
+                }
             }
         }
+        for (int j = 0; j < ncols_interleaved; j++) {
+            s[x * ncols_interleaved + j] = sumf[j] - sum_minf[j];
+        }
     }
 }
 
-void ggml_gemm_q4_0_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+void ggml_gemv_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
-    const int ncols_interleaved = 8;
-    const int blocklen = 8;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
 
-    assert (n % qk == 0);
-    assert (nr % 4 == 0);
-    assert (nc % ncols_interleaved == 0);
+    assert(nr == 1);
+    assert(n % qk == 0);
+    assert(nc % ncols_interleaved == 0);
 
-    UNUSED(s);
     UNUSED(bs);
-    UNUSED(vx);
-    UNUSED(vy);
     UNUSED(nr);
-    UNUSED(nc);
-    UNUSED(nb);
-    UNUSED(ncols_interleaved);
-    UNUSED(blocklen);
 
-    float sumf[4][8];
+    float sumf[16];
     int sumi;
 
-    for (int y = 0; y < nr / 4; y++) {
-        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb);
+
+        for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
+        for (int l = 0; l < nb; l++) {
+            for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumi = 0;
+                    for (int i = 0; i < blocklen; ++i) {
+                        const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                        const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                        sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2]));
+                    }
+                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
+                }
+            }
+        }
+        for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j];
+    }
+}
+
+void ggml_gemv_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk                = QK8_0;
+    const int nb                = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen          = 1;
+
+    assert(nr == 1);
+    assert(n % qk == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    UNUSED(bs);
+    UNUSED(nr);
+
+    float sumf[16];
+    int   sumi;
+
+    const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
+    for (int x = 0; x < nc / ncols_interleaved; x++) {
+        const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb);
+
+        for (int j = 0; j < ncols_interleaved; j++) {
+            sumf[j] = 0.0;
+        }
+        for (int l = 0; l < nb; l++) {
+            for (int k = 0; k < (qk / blocklen); k++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumi = 0;
+                    for (int i = 0; i < blocklen; ++i) {
+                        const int v0 = b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i];
+                        sumi += v0 * a_ptr[l].qs[k * blocklen + i];
+                    }
+                    sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
+                }
+            }
+        }
+        for (int j = 0; j < ncols_interleaved; j++) {
+            s[x * ncols_interleaved + j] = sumf[j];
+        }
+    }
+}
+
+void ggml_gemv_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    assert(n % QK_K == 0);
+    assert(nr == 1);
+    assert(nc % 16 == 0);
+
+    UNUSED(bs);
+
+    const int nb = n / QK_K;
+    const block_q2_Kx16 * x = (const block_q2_Kx16 *)vx;
+    const block_q8_K    * y = (const block_q8_K *)vy;
+
+    // Layout: Even-Low(0,2,4,6), Odd-Low(1,3,5,7), Even-High(8...), Odd-High(9...)
+    const int sb_perm[16] = {
+        0, 4, 1, 5, 2, 6, 3, 7,  // 0-7
+        8, 12, 9, 13, 10, 14, 11, 15 // 8-15
+    };
+
+    for (int col_tile = 0; col_tile < nc; col_tile += 16) {
+        const block_q2_Kx16 * x_ptr = x + (col_tile / 16) * nb;
+        const block_q8_K    * y_ptr = y;
+
+        float sumf[16] = {0};
+
+        // Loop over K-blocks
+        for (int k_block = 0; k_block < nb; ++k_block) {
+            int32_t isum[16]  = {0};
+            int32_t summs[16] = {0};
+
+            const uint8_t * qs_rhs = x_ptr[k_block].qs;
+            const uint8_t * sc_rhs = x_ptr[k_block].scales;
+            const int8_t  * qs_lhs = y_ptr[k_block].qs;
+            const int16_t * bs_lhs = y_ptr[k_block].bsums;
+
+            // Iterate over sub-blocks 0..15
+            for (int sb = 0; sb < 16; ++sb) {
+                // Correction Term
+                int16_t bsum = bs_lhs[sb];
+                int scale_offset = sb_perm[sb] * 16;
+
+                for (int col = 0; col < 16; ++col) {
+                    uint8_t sc_val = sc_rhs[scale_offset + col];
+                    summs[col] += bsum * (sc_val >> 4); // Min is high 4 bits
+                }
+
+                // Main Dot Product
+                // Calculate base offsets for Q2 unpacking based on SB
+                int byte_base;
+                if (sb < 8) byte_base = (sb % 2 == 0) ? 0 : 16;
+                else        byte_base = (sb % 2 == 0) ? 32 : 48;
+
+                int shift = ((sb / 2) % 4) * 2;
+
+                for (int col = 0; col < 16; ++col) {
+                    uint8_t sc_val = sc_rhs[scale_offset + col];
+                    int32_t d_sb = sc_val & 0xF; // Scale is low 4 bits
+
+                    // Process 16 elements (l=0..15)
+                    for (int l = 0; l < 16; ++l) {
+                        // Q2: Interleaved by column. Byte `l` contains 4 k-values.
+                        int qs_idx = (byte_base + l) * 16 + col;
+                        uint8_t q2_val = (qs_rhs[qs_idx] >> shift) & 3;
+
+                        // Q8: Linear access
+                        int k = sb * 16 + l;
+                        int8_t q8_val = qs_lhs[k];
+
+                        isum[col] += q8_val * q2_val * d_sb;
+                    }
+                }
+            }
+
+            // Finalize K-Block
+            for (int col = 0; col < 16; ++col) {
+                float d_lhs = y_ptr[k_block].d;
+                float d_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].d[col]);
+                float dm_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].dmin[col]);
+
+                float d_all = d_lhs * d_rhs;
+                float d_min = d_lhs * dm_rhs;
+
+                sumf[col] += (isum[col] * d_all) - (summs[col] * d_min);
+            }
+        }
+
+        for (int col = 0; col < 16; ++col) {
+            s[col_tile + col] = sumf[col];
+        }
+    }
+}
+#endif
+
+void ggml_gemm_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 4;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+    {
+        float sumf[4][4];
+        int sumi;
+
+        for (int y = 0; y < nr / 4; y++) {
+            const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+            for (int x = 0; x < nc / ncols_interleaved; x++) {
+                const block_q4_0x4 * b_ptr = (const block_q4_0x4 *) vx + (x * nb);
+                for (int m = 0; m < 4; m++) {
+                    for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+                }
+                for (int l = 0; l < nb; l++) {
+                    for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                        for (int m = 0; m < 4; m++) {
+                            for (int j = 0; j < ncols_interleaved; j++) {
+                                sumi = 0;
+                                for (int i = 0; i < blocklen; ++i) {
+                                    const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
+                                    const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
+                                    sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                            (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4;
+                                }
+                                sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                            }
+                        }
+                    }
+                }
+                for (int m = 0; m < 4; m++) {
+                    for (int j = 0; j < ncols_interleaved; j++)
+                        s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+                }
+            }
+        }
+    }
+}
+
+void ggml_gemm_q4_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 8;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+    float sumf[4][4];
+    int sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q4_0x4 * b_ptr = (const block_q4_0x4 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                    for (int m = 0; m < 4; m++) {
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sumi = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
+                                const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
+                                sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                        (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4;
+                            }
+                            sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                        }
+                    }
+                }
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++)
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            }
+        }
+    }
+}
+
+void ggml_gemm_q4_0_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 8;
+    const int blocklen = 8;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+    float sumf[4][8];
+    int sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
         for (int x = 0; x < nc / ncols_interleaved; x++) {
             const block_q4_0x8 * b_ptr = (const block_q4_0x8 *) vx + (x * nb);
             for (int m = 0; m < 4; m++) {
@@ -1494,122 +2071,322 @@ void ggml_gemm_q2_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs,
     }
 }
 
-void ggml_gemm_q5_K_8x8_q8_K_generic(int                        n,
-                                     float * GGML_RESTRICT      s,
-                                     size_t                     bs,
-                                     const void * GGML_RESTRICT vx,
-                                     const void * GGML_RESTRICT vy,
-                                     int                        nr,
-                                     int                        nc) {
-    const int qk                = QK_K;
-    const int nb                = n / qk;
-    const int ncols_interleaved = 8;
-    const int blocklen          = 8;
+void ggml_gemm_q5_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemm_q5_K_NxM_q8_K_generic_impl<4, 8>(n, s, bs, vx, vy, nr, nc);
+}
 
-    constexpr uint32_t kmask1 = 0x3f3f3f3f;
-    constexpr uint32_t kmask2 = 0x0f0f0f0f;
-    constexpr uint32_t kmask3 = 0x03030303;
+void ggml_gemm_q5_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemm_q5_K_NxM_q8_K_generic_impl<8, 8>(n, s, bs, vx, vy, nr, nc);
+}
 
-    assert(n % qk == 0);
-    assert(nr % 4 == 0);
-    assert(nc % ncols_interleaved == 0);
+void ggml_gemm_q6_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    ggml_gemm_q6_K_NxM_q8_K_generic_impl<4, 8>(n, s, bs, vx, vy, nr, nc);
+}
 
-    float    sumf[4][8];
-    float    sum_minf[4][8];
-    uint32_t utmp[32];
-    int      sumi1;
-    int      sumi2;
-    int      sumi;
+void ggml_gemm_q6_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+   ggml_gemm_q6_K_NxM_q8_K_generic_impl<8, 8>(n, s, bs, vx, vy, nr, nc);
+}
 
-    for (int y = 0; y < nr / 4; y++) {
-        const block_q8_Kx4 * a_ptr = (const block_q8_Kx4 *) vy + (y * nb);
-        for (int x = 0; x < nc / ncols_interleaved; x++) {
-            const block_q5_Kx8 * b_ptr = (const block_q5_Kx8 *) vx + (x * nb);
-            for (int m = 0; m < 4; m++) {
-                for (int j = 0; j < ncols_interleaved; j++) {
-                    sumf[m][j]     = 0.0;
-                    sum_minf[m][j] = 0.0;
+void ggml_gemm_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 4;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+    {
+        float sumf[4][4];
+        int sumi;
+
+        for (int y = 0; y < nr / 4; y++) {
+            const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+            for (int x = 0; x < nc / ncols_interleaved; x++) {
+                const block_iq4_nlx4 * b_ptr = (const block_iq4_nlx4 *) vx + (x * nb);
+                for (int m = 0; m < 4; m++) {
+                    for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+                }
+                for (int l = 0; l < nb; l++) {
+                    for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                        for (int m = 0; m < 4; m++) {
+                            for (int j = 0; j < ncols_interleaved; j++) {
+                                sumi = 0;
+                                for (int i = 0; i < blocklen; ++i) {
+                                    const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                                    const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                                    sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                            (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4]));
+                                }
+                                sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                            }
+                        }
+                    }
                 }
+                for (int m = 0; m < 4; m++) {
+                    for (int j = 0; j < ncols_interleaved; j++)
+                        s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+                }
+            }
+        }
+    }
+}
+
+void ggml_gemm_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 8;
+    const int blocklen = 8;
+
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    float sumf[4][8];
+    int sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_iq4_nlx8 * b_ptr = (const block_iq4_nlx8 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
             }
             for (int l = 0; l < nb; l++) {
-                for (int sb = 0; sb < 8; sb++) {
-                    memcpy(utmp + sb * 4, b_ptr[l].scales + sb * 12, 12);
-                    utmp[sb * 4 + 3] = ((utmp[sb * 4 + 2] >> 4) & kmask2) | (((utmp[sb * 4 + 1] >> 6) & kmask3) << 4);
-                    const uint32_t uaux_0 = utmp[sb * 4 + 1] & kmask1;
-                    utmp[sb * 4 + 1]      = (utmp[sb * 4 + 2] & kmask2) | (((utmp[sb * 4 + 0] >> 6) & kmask3) << 4);
-                    utmp[sb * 4 + 2]      = uaux_0;
-                    utmp[sb * 4 + 0] &= kmask1;
-                }
                 for (int k = 0; k < (qk / (2 * blocklen)); k++) {
-                    uint8_t * scales_0 = (uint8_t *) utmp + (k / 4) * 32;
-                    uint8_t * scales_1 = (uint8_t *) utmp + (k / 4) * 32 + 16;
-
-                    const int qh_shift = (k / 4) * 2;
                     for (int m = 0; m < 4; m++) {
                         for (int j = 0; j < ncols_interleaved; j++) {
-                            sumi1 = 0;
-                            sumi2 = 0;
-                            sumi  = 0;
+                            sumi = 0;
                             for (int i = 0; i < blocklen; ++i) {
-                                const int b_qs_offset = k * ncols_interleaved * blocklen + j * blocklen + i;
+                                const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                                const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                                sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                         (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4]));
+                            }
+                            sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                        }
+                    }
+                }
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++)
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            }
+        }
+    }
+}
+
+void ggml_gemm_mxfp4_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen = 4;
 
-                                const int qh_idx      = (k * 8 + i) % 32;
-                                const int qh_chunk    = qh_idx / 8;
-                                const int qh_pos      = qh_idx % 8;
-                                const int b_qh_offset = qh_chunk * 64 + j * 8 + qh_pos;
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
 
-                                const uint8_t qh_val = b_ptr[l].qh[b_qh_offset];
-                                const uint8_t h0     = (qh_val >> qh_shift) & 1;
-                                const uint8_t h1     = (qh_val >> (qh_shift + 1)) & 1;
+    float sumf[4][4];
+    int sumi;
 
-                                const int v0 = (int8_t) ((b_ptr[l].qs[b_qs_offset] & 0xF) | (h0 << 4));
-                                const int v1 = (int8_t) ((b_ptr[l].qs[b_qs_offset] >> 4) | (h1 << 4));
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_mxfp4x4 * b_ptr = (const block_mxfp4x4 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                    for (int m = 0; m < 4; m++) {
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sumi = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int v0 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                                const int v1 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                                sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                         (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4]));
+                            }
+                            sumf[m][j] += sumi * GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                        }
+                    }
+                }
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++)
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            }
+        }
+    }
+}
 
-                                const int q8_offset = (k >> 2) * 256 + (k % 4) * 4 * blocklen + m * blocklen + i;
+void ggml_gemm_mxfp4_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK8_0;
+    const int nb = n / qk;
+    const int ncols_interleaved = 8;
+    const int blocklen = 8;
 
-                                sumi1 = (v0 * a_ptr[l].qs[q8_offset]);
-                                sumi2 = (v1 * a_ptr[l].qs[q8_offset + 128]);
-                                sumi1 = sumi1 * scales_0[j];
-                                sumi2 = sumi2 * scales_1[j];
-                                sumi += sumi1 + sumi2;
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    float sumf[4][8];
+    int sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_mxfp4x8 * b_ptr = (const block_mxfp4x8 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                    for (int m = 0; m < 4; m++) {
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sumi = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int v0 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
+                                const int v1 = kvalues_mxfp4[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
+                                sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                         (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4]));
                             }
-                            sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d[m];
+                            sumf[m][j] += sumi * GGML_CPU_E8M0_TO_FP32_HALF(b_ptr[l].e[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
                         }
                     }
                 }
-                for (int sb = 0; sb < 8; sb++) {
-                    uint8_t * mins = (uint8_t *) utmp + 8 + sb * 16;
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++)
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            }
+        }
+    }
+}
+
+void ggml_gemm_q8_0_4x4_q8_0_generic(int                        n,
+                                     float * GGML_RESTRICT      s,
+                                     size_t                     bs,
+                                     const void * GGML_RESTRICT vx,
+                                     const void * GGML_RESTRICT vy,
+                                     int                        nr,
+                                     int                        nc) {
+    const int qk                = QK8_0;
+    const int nb                = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen          = 4;
+
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    float sumf[4][4];
+    int   sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q8_0x4 * b_ptr = (const block_q8_0x4 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumf[m][j] = 0.0;
+                }
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int k = 0; k < (qk / blocklen); k++) {
                     for (int m = 0; m < 4; m++) {
-                        const int16_t * bsums = a_ptr[l].bsums + (sb * 8) + (m * 4) - ((sb % 2) * 6);
                         for (int j = 0; j < ncols_interleaved; j++) {
-                            sum_minf[m][j] += mins[j] * (bsums[0] + bsums[1]) *
-                                              GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d[m];
+                            sumi = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int v0 = b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i];
+                                sumi += v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i];
+                            }
+                            sumf[m][j] +=
+                                sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
                         }
                     }
                 }
             }
             for (int m = 0; m < 4; m++) {
                 for (int j = 0; j < ncols_interleaved; j++) {
-                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j] - sum_minf[m][j];
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
                 }
             }
         }
     }
 }
 
-void ggml_gemm_q6_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
-    ggml_gemm_q6_K_NxM_q8_K_generic_impl<4, 8>(n, s, bs, vx, vy, nr, nc);
-}
 
-void ggml_gemm_q6_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
-   ggml_gemm_q6_K_NxM_q8_K_generic_impl<8, 8>(n, s, bs, vx, vy, nr, nc);
+
+void ggml_gemm_q8_0_4x8_q8_0_generic(int                        n,
+                                     float * GGML_RESTRICT      s,
+                                     size_t                     bs,
+                                     const void * GGML_RESTRICT vx,
+                                     const void * GGML_RESTRICT vy,
+                                     int                        nr,
+                                     int                        nc) {
+    const int qk                = QK8_0;
+    const int nb                = n / qk;
+    const int ncols_interleaved = 4;
+    const int blocklen          = 8;
+
+    assert(n % qk == 0);
+    assert(nr % 4 == 0);
+    assert(nc % ncols_interleaved == 0);
+
+    float sumf[4][4];
+    int   sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q8_0x4 * b_ptr = (const block_q8_0x4 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumf[m][j] = 0.0;
+                }
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int k = 0; k < (qk / blocklen); k++) {
+                    for (int m = 0; m < 4; m++) {
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sumi = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int v0 = b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i];
+                                sumi += v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i];
+                            }
+                            sumf[m][j] +=
+                                sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                        }
+                    }
+                }
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+                }
+            }
+        }
+    }
 }
 
-void ggml_gemm_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+#if defined __riscv_zvfh
+void ggml_gemm_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
-    const int ncols_interleaved = 4;
-    const int blocklen = 4;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
 
     assert (n % qk == 0);
     assert (nr % 4 == 0);
@@ -1625,59 +2402,151 @@ void ggml_gemm_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
     UNUSED(ncols_interleaved);
     UNUSED(blocklen);
 
-    {
-        float sumf[4][4];
-        int sumi;
+    float sumf[4][16];
+    int sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+                    for (int m = 0; m < 4; m++) {
+                        for (int j = 0; j < ncols_interleaved; j++) {
+                            sumi = 0;
+                            for (int i = 0; i < blocklen; ++i) {
+                                const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
+                                const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
+                                sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
+                                         (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4;
+                            }
+                            sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+                        }
+                    }
+                }
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++)
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            }
+        }
+    }
+}
+
+void ggml_gemm_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    const int qk = QK_K;
+    const int nb = n / qk;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
+
+    assert (n % qk == 0);
+    assert (nr % 4 == 0);
+    assert (nc % ncols_interleaved == 0);
+
+    UNUSED(s);
+    UNUSED(bs);
+    UNUSED(vx);
+    UNUSED(vy);
+    UNUSED(nr);
+    UNUSED(nc);
+    UNUSED(nb);
+    UNUSED(ncols_interleaved);
+    UNUSED(blocklen);
+
+    float sumf[4][16];
+    float sum_minf[4][16];
+    uint8_t scales[128];
+    uint8_t mins[128];
+    int sumi1;
+    int sumi2;
+    int sumi;
+
+    for (int y = 0; y < nr / 4; y++) {
+        const block_q8_Kx4 * a_ptr = (const block_q8_Kx4 *) vy + (y * nb);
+        for (int x = 0; x < nc / ncols_interleaved; x++) {
+            const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb);
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    sumf[m][j] = 0.0;
+                    sum_minf[m][j] = 0.0;
+                }
+            }
+            for (int l = 0; l < nb; l++) {
+                for (int i = 0; i < 128; i++) {
+                    scales[i] = b_ptr[l].scales[i] & 0x0F;
+                    mins[i] = b_ptr[l].scales[i] >> 4;
+                }
+                for (int i = 0; i < 64; i++) {
+                    scales[i] |= (b_ptr[l].scales[128 + i] & 0x03) << 4;
+                    mins[i] |= (b_ptr[l].scales[128 + i] & 0x0C) << 2;
+                    scales[i + 64] |= (b_ptr[l].scales[128 + i] & 0x30);
+                    mins[i + 64] |= (b_ptr[l].scales[128 + i] & 0xC0) >> 2;
+                }
 
-        for (int y = 0; y < nr / 4; y++) {
-            const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
-            for (int x = 0; x < nc / ncols_interleaved; x++) {
-                const block_iq4_nlx4 * b_ptr = (const block_iq4_nlx4 *) vx + (x * nb);
-                for (int m = 0; m < 4; m++) {
-                    for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
+                for (int sb = 0; sb < 8; sb++) {
+                    uint8_t *min = &mins[sb * 16];
+                    for(int m = 0; m < 4; m++) {
+                        const int16_t bsums = a_ptr[l].bsums[sb * 8 + m] + a_ptr[l].bsums[sb * 8 + m + 4];
+                        for(int j = 0; j < ncols_interleaved; j++) {
+                            sum_minf[m][j] += min[j] * bsums * GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d[m];
+                        }
+                    }
                 }
-                for (int l = 0; l < nb; l++) {
-                    for (int k = 0; k < (qk / (2 * blocklen)); k++) {
+
+                for (int sb = 0; sb < 8; sb += 2) {
+                    uint8_t *scales_0 = &scales[sb * 16];
+                    uint8_t *scales_1 = &scales[(sb + 1) * 16];
+
+                    for (int i = 0; i < QK4_0; i++) {
                         for (int m = 0; m < 4; m++) {
                             for (int j = 0; j < ncols_interleaved; j++) {
+                                sumi1 = 0;
+                                sumi2 = 0;
                                 sumi = 0;
-                                for (int i = 0; i < blocklen; ++i) {
-                                    const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
-                                    const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
-                                    sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
-                                            (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4]));
-                                }
-                                sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
+
+                                const int v0 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] & 0xF);
+                                const int v1 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] >> 4);
+                                sumi1 = (v0 * a_ptr[l].qs[sb * 4 * 32 + i * 4 + m]);
+                                sumi2 = (v1 * a_ptr[l].qs[sb * 4 * 32 + 32 * 4 + i * 4 + m]);
+                                sumi1 = sumi1 * scales_0[j];
+                                sumi2 = sumi2 * scales_1[j];
+                                sumi += sumi1 + sumi2;
+
+                                sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d[m];
                             }
                         }
                     }
                 }
-                for (int m = 0; m < 4; m++) {
-                    for (int j = 0; j < ncols_interleaved; j++)
-                        s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+            }
+            for (int m = 0; m < 4; m++) {
+                for (int j = 0; j < ncols_interleaved; j++) {
+                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j] - sum_minf[m][j];
                 }
             }
         }
     }
 }
 
-void ggml_gemm_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+void ggml_gemm_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk = QK8_0;
     const int nb = n / qk;
-    const int ncols_interleaved = 8;
-    const int blocklen = 8;
+    const int ncols_interleaved = 16;
+    const int blocklen = 1;
 
     assert(n % qk == 0);
     assert(nr % 4 == 0);
     assert(nc % ncols_interleaved == 0);
 
-    float sumf[4][8];
+    float sumf[4][16];
     int sumi;
 
     for (int y = 0; y < nr / 4; y++) {
         const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
         for (int x = 0; x < nc / ncols_interleaved; x++) {
-            const block_iq4_nlx8 * b_ptr = (const block_iq4_nlx8 *) vx + (x * nb);
+            const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb);
             for (int m = 0; m < 4; m++) {
                 for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
             }
@@ -1690,7 +2559,7 @@ void ggml_gemm_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
                                 const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F];
                                 const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4];
                                 sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
-                                         (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4]));
+                                         (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + (qk / 2) * 4]));
                             }
                             sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
                         }
@@ -1705,29 +2574,23 @@ void ggml_gemm_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs
     }
 }
 
-void ggml_gemm_q8_0_4x4_q8_0_generic(int                        n,
-                                     float * GGML_RESTRICT      s,
-                                     size_t                     bs,
-                                     const void * GGML_RESTRICT vx,
-                                     const void * GGML_RESTRICT vy,
-                                     int                        nr,
-                                     int                        nc) {
+void ggml_gemm_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
     const int qk                = QK8_0;
     const int nb                = n / qk;
-    const int ncols_interleaved = 4;
-    const int blocklen          = 4;
+    const int ncols_interleaved = 16;
+    const int blocklen          = 1;
 
     assert(n % qk == 0);
     assert(nr % 4 == 0);
     assert(nc % ncols_interleaved == 0);
 
-    float sumf[4][4];
+    float sumf[4][16];
     int   sumi;
 
     for (int y = 0; y < nr / 4; y++) {
         const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
         for (int x = 0; x < nc / ncols_interleaved; x++) {
-            const block_q8_0x4 * b_ptr = (const block_q8_0x4 *) vx + (x * nb);
+            const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb);
             for (int m = 0; m < 4; m++) {
                 for (int j = 0; j < ncols_interleaved; j++) {
                     sumf[m][j] = 0.0;
@@ -1757,57 +2620,102 @@ void ggml_gemm_q8_0_4x4_q8_0_generic(int                        n,
     }
 }
 
-void ggml_gemm_q8_0_4x8_q8_0_generic(int                        n,
-                                     float * GGML_RESTRICT      s,
-                                     size_t                     bs,
-                                     const void * GGML_RESTRICT vx,
-                                     const void * GGML_RESTRICT vy,
-                                     int                        nr,
-                                     int                        nc) {
-    const int qk                = QK8_0;
-    const int nb                = n / qk;
-    const int ncols_interleaved = 4;
-    const int blocklen          = 8;
 
-    assert(n % qk == 0);
+void ggml_gemm_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
+    assert(n % QK_K == 0);
     assert(nr % 4 == 0);
-    assert(nc % ncols_interleaved == 0);
+    assert(nc % 16 == 0);
+    const int nb = n / QK_K;
+    const block_q2_Kx16 * x = (const block_q2_Kx16 *)vx;
+    const block_q8_Kx4  * y = (const block_q8_Kx4 *)vy;
+
+    const int sb_perm[16] = {
+        0, 4, 1, 5, 2, 6, 3, 7,
+        8, 12, 9, 13, 10, 14, 11, 15
+    };
 
-    float sumf[4][4];
-    int   sumi;
+    // Iterate Rows in tiles of 4
+    for (int row_tile = 0; row_tile < nr; row_tile += 4) {
+        // Iterate Columns in tiles of 16
+        for (int col_tile = 0; col_tile < nc; col_tile += 16) {
+
+            const block_q2_Kx16 * x_ptr = x + (col_tile / 16) * nb;
+            const block_q8_Kx4  * y_ptr = y + (row_tile / 4) * nb;
+
+            float sumf[4][16];
+            memset(sumf, 0, sizeof(sumf));
+
+            for (int k_block = 0; k_block < nb; ++k_block) {
+                int32_t isum[4][16];
+                int32_t summs[4][16];
+                memset(isum, 0, sizeof(isum));
+                memset(summs, 0, sizeof(summs));
+
+                const uint8_t * qs_rhs = x_ptr[k_block].qs;
+                const uint8_t * sc_rhs = x_ptr[k_block].scales;
+                const int8_t  * qs_lhs = y_ptr[k_block].qs;
+                const int16_t * bs_lhs = y_ptr[k_block].bsums;
+
+                for (int sb = 0; sb < 16; ++sb) {
+                    int scale_offset = sb_perm[sb] * 16;
+
+                    int byte_base;
+                    if (sb < 8) byte_base = (sb % 2 == 0) ? 0 : 16;
+                    else        byte_base = (sb % 2 == 0) ? 32 : 48;
+                    int shift = ((sb / 2) % 4) * 2;
+
+                    for (int col = 0; col < 16; ++col) {
+                        uint8_t sc_val = sc_rhs[scale_offset + col];
+                        int32_t d_sb = sc_val & 0xF;
+                        int32_t m_sb = sc_val >> 4;
+
+                        // Correction Term
+                        for (int r = 0; r < 4; ++r) {
+                            int bsum_idx = (sb / 4) * 16 + r * 4 + (sb % 4);
+                            summs[r][col] += bs_lhs[bsum_idx] * m_sb;
+                        }
 
-    for (int y = 0; y < nr / 4; y++) {
-        const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
-        for (int x = 0; x < nc / ncols_interleaved; x++) {
-            const block_q8_0x4 * b_ptr = (const block_q8_0x4 *) vx + (x * nb);
-            for (int m = 0; m < 4; m++) {
-                for (int j = 0; j < ncols_interleaved; j++) {
-                    sumf[m][j] = 0.0;
-                }
-            }
-            for (int l = 0; l < nb; l++) {
-                for (int k = 0; k < (qk / blocklen); k++) {
-                    for (int m = 0; m < 4; m++) {
-                        for (int j = 0; j < ncols_interleaved; j++) {
-                            sumi = 0;
-                            for (int i = 0; i < blocklen; ++i) {
-                                const int v0 = b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i];
-                                sumi += v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i];
+                        // Main Dot Product
+                        for (int l = 0; l < 16; ++l) {
+                            int qs_idx = (byte_base + l) * 16 + col;
+                            uint8_t q2_val = (qs_rhs[qs_idx] >> shift) & 3;
+
+                            // Calculate Q8 index for this specific k and row
+                            int k = sb * 16 + l;
+                            int q8_idx = (k / 4) * 16 + (k % 4);
+
+                            for (int r = 0; r < 4; ++r) {
+                                // Add r*4 to jump to the correct row within the 4x4 chunk
+                                int8_t q8_val = qs_lhs[q8_idx + r * 4];
+                                isum[r][col] += q8_val * q2_val * d_sb;
                             }
-                            sumf[m][j] +=
-                                sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
                         }
                     }
                 }
+
+                // Finalize K-Block
+                for (int col = 0; col < 16; ++col) {
+                    float d_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].d[col]);
+                    float dm_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].dmin[col]);
+
+                    for (int r = 0; r < 4; ++r) {
+                        float d_lhs = y_ptr[k_block].d[r];
+                        float d_all = d_lhs * d_rhs;
+                        float d_min = d_lhs * dm_rhs;
+                        sumf[r][col] += (isum[r][col] * d_all) - (summs[r][col] * d_min);
+                    }
+                }
             }
-            for (int m = 0; m < 4; m++) {
-                for (int j = 0; j < ncols_interleaved; j++) {
-                    s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
+
+            for (int r = 0; r < 4; ++r) {
+                for (int col = 0; col < 16; ++col) {
+                    s[(row_tile + r) * bs + (col_tile + col)] = sumf[r][col];
                 }
             }
         }
     }
 }
+#endif
 
 } // extern "C"
 
@@ -1897,6 +2805,31 @@ static block_q4_0x8 make_block_q4_0x8(block_q4_0 * in, unsigned int blck_size_in
     return out;
 }
 
+static block_q4_0x16 make_block_q4_0x16(block_q4_0 * in, unsigned int blck_size_interleave) {
+    block_q4_0x16 out;
+
+    for (int i = 0; i < 16; i++) {
+        out.d[i] = in[i].d;
+    }
+
+    const int end = QK4_0 * 8 / blck_size_interleave;
+
+    if (blck_size_interleave == 1) {
+        const uint8_t xor_mask = 0x88;
+        for (int i = 0; i < end; ++i) {
+            int src_id = i % 16;
+            int src_offset = i / 16;
+            int dst_offset = i;
+
+            out.qs[dst_offset] = in[src_id].qs[src_offset] ^ xor_mask;
+        }
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    return out;
+}
+
 static block_q4_Kx8 make_block_q4_Kx8(block_q4_K * in, unsigned int blck_size_interleave) {
     block_q4_Kx8 out;
     //Delta(scale) and dmin values of the eight Q4_K structures are copied onto the output interleaved structure
@@ -1916,9 +2849,10 @@ static block_q4_Kx8 make_block_q4_Kx8(block_q4_K * in, unsigned int blck_size_in
         int src_offset = (i / 8) * blck_size_interleave;
         int dst_offset = i * blck_size_interleave;
 
+        // buffer large enough for the max interleave block size (8 bytes)
         uint64_t elems;
-        memcpy(&elems, &in[src_id].qs[src_offset], sizeof(uint64_t));
-        memcpy(&out.qs[dst_offset], &elems, sizeof(uint64_t));
+        memcpy(&elems, &in[src_id].qs[src_offset], blck_size_interleave);
+        memcpy(&out.qs[dst_offset], &elems, blck_size_interleave);
     }
 
     // The below logic is designed so as to unpack and rearrange scales and mins values in Q4_K
@@ -1973,6 +2907,58 @@ static block_q4_Kx8 make_block_q4_Kx8(block_q4_K * in, unsigned int blck_size_in
     return out;
 }
 
+static block_q4_Kx16 make_block_q4_Kx16(block_q4_K * in, unsigned int blck_size_interleave) {
+    block_q4_Kx16 out;
+    //Delta(scale) and dmin values of the 16 Q4_K structures are copied onto the output interleaved structure
+    for (int i = 0; i < 16; i++) {
+        out.d[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.d;
+    }
+
+    for (int i = 0; i < 16; i++) {
+        out.dmin[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.dmin;
+    }
+
+    const int end = QK_K * 8 / blck_size_interleave;
+
+    if (blck_size_interleave == 1) {
+        for (int i = 0; i < end; ++i) {
+            int src_id = i % 16;
+            int src_offset = i / 16;
+            int dst_offset = i;
+
+            out.qs[dst_offset] = in[src_id].qs[src_offset];
+        }
+
+        // RVV repacking.
+        //
+        // Extract sums and mins for all 8 sub-blocks for each block of Q4_K.
+        uint8_t s[128], m[128];
+        for (int i = 0; i < 4; i++) {
+            for (int j = 0; j < 16; j++) {
+                s[i * 16 + j] = in[j].scales[i] & 63;
+                m[i * 16 + j] = in[j].scales[i + 4] & 63;
+            }
+        }
+        for (int i = 0; i < 4; i++) {
+            for (int j = 0; j < 16; j++) {
+                s[64 + i * 16 + j] = ((in[j].scales[i] & 192) >> 2) | (in[j].scales[i+8] & 15);
+                m[64 + i * 16 + j] = ((in[j].scales[i + 4] & 192) >> 2) | ((in[j].scales[i+8] & 240) >> 4);
+            }
+        }
+
+        for (int i = 0; i < 128; i++) {
+            out.scales[i] = (s[i] & 15) | ((m[i] & 15) << 4);
+        }
+        for (int i = 0; i < 64; i++) {
+            out.scales[128 + i] = ((s[i] & 48) >> 4) | ((m[i] & 48) >> 2) | (s[64 + i] & 48) | ((m[64 + i] & 48) << 2);
+        }
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    return out;
+}
+
 static block_q2_Kx8 make_block_q2_Kx8(block_q2_K * in, unsigned int blck_size_interleave) {
     block_q2_Kx8 out;
 
@@ -2028,18 +3014,16 @@ static block_q5_Kx8 make_block_q5_Kx8(block_q5_K * in, unsigned int blck_size_in
 
     const int end = QK_K * 4 / blck_size_interleave;
 
-    // Interleave Q5_K quants by taking 8 bytes at a time
+    // Interleave Q5_K quants by taking blck_size_interleave bytes at a time
     for (int i = 0; i < end; ++i) {
         int src_id     = i % 8;
         int src_offset = (i / 8) * blck_size_interleave;
         int dst_offset = i * blck_size_interleave;
 
-        uint64_t elems;
-        memcpy(&elems, &in[src_id].qs[src_offset], sizeof(uint64_t));
-        memcpy(&out.qs[dst_offset], &elems, sizeof(uint64_t));
+        memcpy(&out.qs[dst_offset], &in[src_id].qs[src_offset], blck_size_interleave);
     }
 
-    // Repeat for low bits 8 bytes at a time as well, since
+    // Repeat for high bits with the same chunk size, since
     // the high bits are interleaved in Q5_K and the index is
     // qh_idx = (qs_idx % 32);
     // qh_val = qh[qh_idx] >> (qs_idx / 32);
@@ -2048,9 +3032,7 @@ static block_q5_Kx8 make_block_q5_Kx8(block_q5_K * in, unsigned int blck_size_in
         int src_offset = (i / 8) * blck_size_interleave;
         int dst_offset = i * blck_size_interleave;
 
-        uint64_t elems;
-        memcpy(&elems, &in[src_id].qh[src_offset], sizeof(uint64_t));
-        memcpy(&out.qh[dst_offset], &elems, sizeof(uint64_t));
+        memcpy(&out.qh[dst_offset], &in[src_id].qh[src_offset], blck_size_interleave);
     }
 
     // The below logic is copied over from Q4_K
@@ -2150,6 +3132,68 @@ static block_q6_Kx8 make_block_q6_Kx8(block_q6_K * in, unsigned int blck_size_in
     return out;
 }
 
+static block_q2_Kx16 make_block_q2_Kx16(const block_q2_K * in, unsigned int blck_size_interleave) {
+    block_q2_Kx16 out;
+    constexpr int N_COLS = 16;
+
+    // 1. Copy Super-Scales (d) and Super-Mins (dmin)
+    for (int i = 0; i < N_COLS; i++) {
+        out.d[i]    = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.d;
+        out.dmin[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.dmin;
+    }
+
+    // 2. Interleave Q2_K Data
+    const int bytes_per_col = 64;
+    const int total_bytes = N_COLS * bytes_per_col;
+    const int end = total_bytes / blck_size_interleave;
+
+    for (int i = 0; i < end; ++i) {
+        int src_col_id = i % N_COLS;
+        int src_offset = (i / N_COLS) * blck_size_interleave;
+        int dst_offset = i * blck_size_interleave;
+        memcpy(&out.qs[dst_offset], &in[src_col_id].qs[src_offset], blck_size_interleave);
+    }
+
+    // 3. Repack Scales into the Optimized "Sequential-Parallel" Layout
+    int out_idx = 0;
+
+    // Arrays define the sub-block order for each group
+    const int even_low_sbs[]  = {0, 2, 4, 6};
+    const int odd_low_sbs[]   = {1, 3, 5, 7};
+    const int even_high_sbs[] = {8, 10, 12, 14};
+    const int odd_high_sbs[]  = {9, 11, 13, 15};
+
+    // Pack Group 1: Even-Low
+    for (int sb : even_low_sbs) {
+        for (int col = 0; col < N_COLS; col++) {
+            out.scales[out_idx++] = in[col].scales[sb];
+        }
+    }
+
+    // Pack Group 2: Odd-Low
+    for (int sb : odd_low_sbs) {
+        for (int col = 0; col < N_COLS; col++) {
+            out.scales[out_idx++] = in[col].scales[sb];
+        }
+    }
+
+    // Pack Group 3: Even-High
+    for (int sb : even_high_sbs) {
+        for (int col = 0; col < N_COLS; col++) {
+            out.scales[out_idx++] = in[col].scales[sb];
+        }
+    }
+
+    // Pack Group 4: Odd-High
+    for (int sb : odd_high_sbs) {
+        for (int col = 0; col < N_COLS; col++) {
+            out.scales[out_idx++] = in[col].scales[sb];
+        }
+    }
+
+    return out;
+}
+
 static int repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
     GGML_ASSERT(t->type == GGML_TYPE_Q4_0);
     GGML_ASSERT(interleave_block == 4 || interleave_block == 8);
@@ -2212,6 +3256,36 @@ static int repack_q4_K_to_q4_K_8_bl(struct ggml_tensor * t, int interleave_block
     GGML_UNUSED(data_size);
 }
 
+static int repack_q4_K_to_q4_K_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_Q4_K);
+    constexpr int nrows_interleaved = 16;
+
+    block_q4_Kx16 * dst = (block_q4_Kx16*)t->data;
+    const block_q4_K * src = (const block_q4_K*) data;
+    block_q4_K dst_tmp[16];
+    int nrow = ggml_nrows(t);
+    int nblocks = t->ne[0] / QK_K;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_K));
+
+    if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            for (int i  = 0; i < nrows_interleaved; i++ ) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+            *dst++ = make_block_q4_Kx16(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+
+    GGML_UNUSED(data_size);
+}
+
 static int repack_q2_K_to_q2_K_8_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
     GGML_ASSERT(t->type == GGML_TYPE_Q2_K);
     GGML_ASSERT(interleave_block == 8);
@@ -2221,9 +3295,74 @@ static int repack_q2_K_to_q2_K_8_bl(struct ggml_tensor * t, int interleave_block
     const block_q2_K * src = (const block_q2_K*) data;
     block_q2_K dst_tmp[8];
     int nrow = ggml_nrows(t);
-    int nblocks = t->ne[0] / QK_K;
+    int nblocks = t->ne[0] / QK_K;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q2_K));
+
+    if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            for (int i = 0; i < nrows_interleaved; i++) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+            *dst++ = make_block_q2_Kx8(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+
+    GGML_UNUSED(data_size);
+}
+
+static int repack_q2_K_to_q2_K_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_Q2_K);
+    constexpr int nrows_interleaved = 16;
+
+    block_q2_Kx16 * dst = (block_q2_Kx16*)t->data;
+    const block_q2_K * src = (const block_q2_K*) data;
+
+    block_q2_K dst_tmp[nrows_interleaved];
+
+    int nrow = ggml_nrows(t);
+    int nblocks = t->ne[0] / QK_K;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q2_K));
+
+    if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            // This loop gathers 16 separate blocks (one from each column)
+            // that correspond to the same K-dimension chunk.
+            for (int i  = 0; i < nrows_interleaved; i++ ) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+
+            *dst++ = make_block_q2_Kx16(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+
+    GGML_UNUSED(data_size);
+}
+
+static int repack_q4_0_to_q4_0_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_Q4_0);
+    constexpr int nrows_interleaved = 16;
+
+    block_q4_0x16 * dst = (block_q4_0x16*)t->data;
+    const block_q4_0 * src = (const block_q4_0*) data;
+    block_q4_0 dst_tmp[16];
+    int nrow = ggml_nrows(t);
+    int nblocks = t->ne[0] / QK4_0;
 
-    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q2_K));
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_0));
 
     if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
         return -1;
@@ -2231,10 +3370,10 @@ static int repack_q2_K_to_q2_K_8_bl(struct ggml_tensor * t, int interleave_block
 
     for (int b = 0; b < nrow; b += nrows_interleaved) {
         for (int64_t x = 0; x < nblocks; x++) {
-            for (int i = 0; i < nrows_interleaved; i++) {
+            for (int i  = 0; i < nrows_interleaved; i++ ) {
                 dst_tmp[i] = src[x + i * nblocks];
             }
-            *dst++ = make_block_q2_Kx8(dst_tmp, interleave_block);
+            *dst++ = make_block_q4_0x16(dst_tmp, interleave_block);
         }
         src += nrows_interleaved * nblocks;
     }
@@ -2248,7 +3387,7 @@ static int repack_q5_K_to_q5_K_8_bl(struct ggml_tensor *       t,
                                     const void * GGML_RESTRICT data,
                                     size_t                     data_size) {
     GGML_ASSERT(t->type == GGML_TYPE_Q5_K);
-    GGML_ASSERT(interleave_block == 8);
+    GGML_ASSERT(interleave_block == 4 || interleave_block == 8);
     constexpr int nrows_interleaved = 8;
 
     block_q5_Kx8 *     dst = (block_q5_Kx8 *) t->data;
@@ -2367,6 +3506,60 @@ static int repack_q8_0_to_q8_0_4_bl(struct ggml_tensor *       t,
     return 0;
 }
 
+static block_q8_0x16 make_block_q8_0x16(block_q8_0 * in, unsigned int blck_size_interleave) {
+    block_q8_0x16 out;
+
+    for (int i = 0; i < 16; i++) {
+        out.d[i] = in[i].d;
+    }
+
+    const int end = QK8_0 * 16 / blck_size_interleave;
+
+    if (blck_size_interleave == 1) {
+        for (int i = 0; i < end; ++i) {
+            int src_id     = i % 16;
+            int src_offset = i / 16;
+            int dst_offset = i;
+            out.qs[dst_offset] = in[src_id].qs[src_offset];
+        }
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    return out;
+}
+
+static int repack_q8_0_to_q8_0_16_bl(struct ggml_tensor *       t,
+                                    int                        interleave_block,
+                                    const void * GGML_RESTRICT data,
+                                    size_t                     data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_Q8_0);
+    constexpr int nrows_interleaved = 16;
+
+    block_q8_0x16 *     dst = (block_q8_0x16 *) t->data;
+    const block_q8_0 * src = (const block_q8_0 *) data;
+    block_q8_0         dst_tmp[16];
+    int                nrow    = ggml_nrows(t);
+    int                nblocks = t->ne[0] / QK8_0;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q8_0));
+
+    if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            for (int i = 0; i < nrows_interleaved; i++) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+            *dst++ = make_block_q8_0x16(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+}
+
 static block_iq4_nlx4 make_block_iq4_nlx4(block_iq4_nl * in, unsigned int blck_size_interleave) {
     block_iq4_nlx4 out;
 
@@ -2492,6 +3685,177 @@ static int repack_iq4_nl_to_iq4_nl_8_bl(struct ggml_tensor * t, int interleave_b
     GGML_UNUSED(data_size);
 }
 
+static block_iq4_nlx16 make_block_iq4_nlx16(block_iq4_nl * in, unsigned int blck_size_interleave) {
+    block_iq4_nlx16 out;
+
+    for (int i = 0; i < 16; i++) {
+        out.d[i] = in[i].d;
+    }
+
+    const int end = QK4_NL * 8 / blck_size_interleave;
+
+    if (blck_size_interleave == 1) {
+        for (int i = 0; i < end; ++i) {
+            int src_id = i % 16;
+            int src_offset = i / 16;
+            int dst_offset = i;
+
+            out.qs[dst_offset] = in[src_id].qs[src_offset];
+        }
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    return out;
+}
+
+static int repack_iq4_nl_to_iq4_nl_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_IQ4_NL);
+    GGML_ASSERT(interleave_block == 1);
+
+    const block_iq4_nl    * src = (const block_iq4_nl   *)data;
+          block_iq4_nlx16 * dst = (      block_iq4_nlx16 *)t->data;
+
+    block_iq4_nl dst_tmp[16];
+
+    int nrow = ggml_nrows(t);
+    int nrows_interleaved = 16;
+    int nblocks = t->ne[0] / QK4_NL;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_iq4_nl));
+
+    if (t->ne[1] % nrows_interleaved != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            for (int i = 0; i < nrows_interleaved; i++) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+            *dst++ = make_block_iq4_nlx16(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+
+    GGML_UNUSED(data_size);
+}
+
+static block_mxfp4x4 make_block_mxfp4x4(block_mxfp4 * in, unsigned int blck_size_interleave) {
+    block_mxfp4x4 out;
+
+    for (int i = 0; i < 4; i++) {
+        out.e[i] = in[i].e;
+    }
+
+    const int end = QK_MXFP4 * 2 / blck_size_interleave;
+
+    if (blck_size_interleave == 4) {
+        for (int i = 0; i < end; ++i) {
+            int src_id = i % 4;
+            int src_offset = (i / 4) * blck_size_interleave;
+            int dst_offset = i * blck_size_interleave;
+
+            memcpy(&out.qs[dst_offset], &in[src_id].qs[src_offset], sizeof(uint32_t));
+        }
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    return out;
+}
+
+static int repack_mxfp4_to_mxfp4_4_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_MXFP4);
+    GGML_ASSERT(interleave_block == 4);
+
+    const block_mxfp4   * src = (const block_mxfp4   *)data;
+          block_mxfp4x4 * dst = (      block_mxfp4x4 *)t->data;
+
+    block_mxfp4 dst_tmp[4];
+
+    int nrow = ggml_nrows(t);
+    int nrows_interleaved = 4;
+    int nblocks = t->ne[0] / QK_MXFP4;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_mxfp4));
+
+    if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            for (int i = 0; i < nrows_interleaved; i++) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+            *dst++ = make_block_mxfp4x4(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+
+    GGML_UNUSED(data_size);
+}
+
+static block_mxfp4x8 make_block_mxfp4x8(block_mxfp4 * in, unsigned int blck_size_interleave) {
+    block_mxfp4x8 out;
+
+    for (int i = 0; i < 8; i++) {
+        out.e[i] = in[i].e;
+    }
+
+    const int end = QK_MXFP4 * 4 / blck_size_interleave;
+
+    if (blck_size_interleave == 8) {
+        for (int i = 0; i < end; ++i) {
+            int src_id = i % 8;
+            int src_offset = (i / 8) * blck_size_interleave;
+            int dst_offset = i * blck_size_interleave;
+
+            memcpy(&out.qs[dst_offset], &in[src_id].qs[src_offset], sizeof(uint64_t));
+        }
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    return out;
+}
+
+static int repack_mxfp4_to_mxfp4_8_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) {
+    GGML_ASSERT(t->type == GGML_TYPE_MXFP4);
+    GGML_ASSERT(interleave_block == 8);
+
+    const block_mxfp4   * src = (const block_mxfp4   *)data;
+          block_mxfp4x8 * dst = (      block_mxfp4x8 *)t->data;
+
+    block_mxfp4 dst_tmp[8];
+
+    int nrow = ggml_nrows(t);
+    int nrows_interleaved = 8;
+    int nblocks = t->ne[0] / QK_MXFP4;
+
+    GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_mxfp4));
+
+    if (t->ne[1] % nrows_interleaved != 0) {
+        return -1;
+    }
+
+    for (int b = 0; b < nrow; b += nrows_interleaved) {
+        for (int64_t x = 0; x < nblocks; x++) {
+            for (int i = 0; i < nrows_interleaved; i++) {
+                dst_tmp[i] = src[x + i * nblocks];
+            }
+            *dst++ = make_block_mxfp4x8(dst_tmp, interleave_block);
+        }
+        src += nrows_interleaved * nblocks;
+    }
+    return 0;
+
+    GGML_UNUSED(data_size);
+}
+
 namespace ggml::cpu::repack {
 // repack
 template <typename BLOC_TYPE, int64_t INTER_SIZE, int64_t NB_COLS>
@@ -2522,6 +3886,10 @@ template <> int repack<block_q2_K, 8, 8>(struct ggml_tensor * t, const void * da
     return repack_q2_K_to_q2_K_8_bl(t, 8, data, data_size);
 }
 
+template <> int repack<block_q5_K, 4, 8>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_q5_K_to_q5_K_8_bl(t, 4, data, data_size);
+}
+
 template <> int repack<block_q5_K, 8, 8>(struct ggml_tensor * t, const void * data, size_t data_size) {
     return repack_q5_K_to_q5_K_8_bl(t, 8, data, data_size);
 }
@@ -2547,6 +3915,14 @@ template <> int repack<block_iq4_nl, 8, 8>(struct ggml_tensor * t, const void *
     return repack_iq4_nl_to_iq4_nl_8_bl(t, 8, data, data_size);
 }
 
+template <> int repack<block_mxfp4, 4, 4>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_mxfp4_to_mxfp4_4_bl(t, 4, data, data_size);
+}
+
+template <> int repack<block_mxfp4, 8, 8>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_mxfp4_to_mxfp4_8_bl(t, 8, data, data_size);
+}
+
 template <> int repack<block_q8_0, 4, 4>(struct ggml_tensor * t, const void * data, size_t data_size) {
     return repack_q8_0_to_q8_0_4_bl(t, 4, data, data_size);
 }
@@ -2555,6 +3931,28 @@ template <> int repack<block_q8_0, 8, 4>(struct ggml_tensor * t, const void * da
     return repack_q8_0_to_q8_0_4_bl(t, 8, data, data_size);
 }
 
+#if defined __riscv_zvfh
+template <> int repack<block_q4_0, 1, 16>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_q4_0_to_q4_0_16_bl(t, 1, data, data_size);
+}
+
+template <> int repack<block_q4_K, 1, 16>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_q4_K_to_q4_K_16_bl(t, 1, data, data_size);
+}
+
+template <> int repack<block_iq4_nl, 1, 16>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_iq4_nl_to_iq4_nl_16_bl(t, 1, data, data_size);
+}
+
+template <> int repack<block_q8_0, 1, 16>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_q8_0_to_q8_0_16_bl(t, 1, data, data_size);
+}
+
+template <> int repack<block_q2_K, 1, 16>(struct ggml_tensor * t, const void * data, size_t data_size) {
+    return repack_q2_K_to_q2_K_16_bl(t, 1, data, data_size);
+}
+#endif
+
 // gemv
 template <typename BLOC_TYPE, int64_t INTER_SIZE, int64_t NB_COLS, ggml_type PARAM_TYPE>
 void gemv(int, float *, size_t, const void *, const void *, int, int);
@@ -2590,6 +3988,10 @@ template <> void gemv<block_q4_K, 8, 8, GGML_TYPE_Q8_K>(int n, float * s, size_t
     ggml_gemv_q4_K_8x8_q8_K(n, s, bs, vx, vy, nr, nc);
 }
 
+template <> void gemv<block_q5_K, 4, 8, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_q5_K_8x4_q8_K(n, s, bs, vx, vy, nr, nc);
+}
+
 template <> void gemv<block_q5_K, 8, 8, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
     ggml_gemv_q5_K_8x8_q8_K(n, s, bs, vx, vy, nr, nc);
 }
@@ -2610,6 +4012,14 @@ template <> void gemv<block_iq4_nl, 8, 8, GGML_TYPE_Q8_0>(int n, float * s, size
     ggml_gemv_iq4_nl_8x8_q8_0(n, s, bs, vx, vy, nr, nc);
 }
 
+template <> void gemv<block_mxfp4, 4, 4, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_mxfp4_4x4_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemv<block_mxfp4, 8, 8, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_mxfp4_8x8_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
 template <> void gemv<block_q8_0, 4, 4, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
     ggml_gemv_q8_0_4x4_q8_0(n, s, bs, vx, vy, nr, nc);
 }
@@ -2618,6 +4028,28 @@ template <> void gemv<block_q8_0, 8, 4, GGML_TYPE_Q8_0>(int n, float * s, size_t
     ggml_gemv_q8_0_4x8_q8_0(n, s, bs, vx, vy, nr, nc);
 }
 
+#if defined __riscv_zvfh
+template <> void gemv<block_q4_0, 1, 16, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_q4_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemv<block_q4_K, 1, 16, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_q4_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemv<block_iq4_nl, 1, 16, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_iq4_nl_16x1_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemv<block_q8_0, 1, 16, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_q8_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemv<block_q2_K, 1, 16, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemv_q2_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc);
+}
+#endif
+
 // gemm
 template <typename BLOC_TYPE, int64_t INTER_SIZE, int64_t NB_COLS, ggml_type PARAM_TYPE>
 void gemm(int, float *, size_t, const void *, const void *, int, int);
@@ -2653,6 +4085,10 @@ template <> void gemm<block_q4_K, 8, 8, GGML_TYPE_Q8_K>(int n, float * s, size_t
     ggml_gemm_q4_K_8x8_q8_K(n, s, bs, vx, vy, nr, nc);
 }
 
+template <> void gemm<block_q5_K, 4, 8, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_q5_K_8x4_q8_K(n, s, bs, vx, vy, nr, nc);
+}
+
 template <> void gemm<block_q5_K, 8, 8, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
     ggml_gemm_q5_K_8x8_q8_K(n, s, bs, vx, vy, nr, nc);
 }
@@ -2673,6 +4109,14 @@ template <> void gemm<block_iq4_nl, 8, 8, GGML_TYPE_Q8_0>(int n, float * s, size
     ggml_gemm_iq4_nl_8x8_q8_0(n, s, bs, vx, vy, nr, nc);
 }
 
+template <> void gemm<block_mxfp4, 4, 4, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_mxfp4_4x4_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemm<block_mxfp4, 8, 8, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_mxfp4_8x8_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
 template <> void gemm<block_q8_0, 4, 4, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
     ggml_gemm_q8_0_4x4_q8_0(n, s, bs, vx, vy, nr, nc);
 }
@@ -2681,6 +4125,28 @@ template <> void gemm<block_q8_0, 8, 4, GGML_TYPE_Q8_0>(int n, float * s, size_t
     ggml_gemm_q8_0_4x8_q8_0(n, s, bs, vx, vy, nr, nc);
 }
 
+#if defined __riscv_zvfh
+template <> void gemm<block_q4_0, 1, 16, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_q4_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemm<block_q4_K, 1, 16, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_q4_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemm<block_iq4_nl, 1, 16, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_iq4_nl_16x1_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemm<block_q8_0, 1, 16, GGML_TYPE_Q8_0>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_q8_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc);
+}
+
+template <> void gemm<block_q2_K, 1, 16, GGML_TYPE_Q8_K>(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) {
+    ggml_gemm_q2_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc);
+}
+#endif
+
 class tensor_traits_base : public ggml::cpu::tensor_traits {
   public:
     virtual int repack(struct ggml_tensor * t, const void * data, size_t data_size) = 0;
@@ -2699,7 +4165,7 @@ template <typename BLOC_TYPE, int64_t INTER_SIZE, int64_t NB_COLS, ggml_type PAR
             case GGML_OP_MUL_MAT_ID:
                 {
                     size = ggml_row_size(PARAM_TYPE, ggml_nelements(op->src[1]));
-                    size = GGML_PAD(size, sizeof(int64_t)); // + padding for next bloc.
+                    size = GGML_PAD(size, sizeof(int64_t)); // + padding for next block.
 
                     const int64_t ne02 = op->src[0]->ne[2]; // n_as, n_expert
                     const int64_t ne12 = op->src[1]->ne[2]; // n_tokens
@@ -2964,7 +4430,7 @@ template <typename BLOC_TYPE, int64_t INTER_SIZE, int64_t NB_COLS, ggml_type PAR
         auto * wdata          = (char *)params->wdata;
         auto * wdata_src1_end = (char *)wdata + GGML_PAD(nbw3, sizeof(int64_t));
 
-        // total of [n_as][ne12 + 1] elemets of type mmid_row_mapping (2*int32_t = int64_t)
+        // total of [n_as][ne12 + 1] elements of type mmid_row_mapping (2*int32_t = int64_t)
         auto * matrix_row_counts = (int64_t *) (wdata_src1_end);                                        // [n_as]
         struct mmid_row_mapping * matrix_rows = (struct mmid_row_mapping *) (matrix_row_counts + n_as); // [n_as][ne12]
 
@@ -3067,6 +4533,7 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons
     static const ggml::cpu::repack::tensor_traits<block_q4_K, 8, 8, GGML_TYPE_Q8_K> q4_K_8x8_q8_K;
 
     // instance for Q5_K
+    static const ggml::cpu::repack::tensor_traits<block_q5_K, 4, 8, GGML_TYPE_Q8_K> q5_K_8x4_q8_K;
     static const ggml::cpu::repack::tensor_traits<block_q5_K, 8, 8, GGML_TYPE_Q8_K> q5_K_8x8_q8_K;
 
     // instance for Q6_K
@@ -3080,13 +4547,28 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons
     static const ggml::cpu::repack::tensor_traits<block_iq4_nl, 4, 4, GGML_TYPE_Q8_0> iq4_nl_4x4_q8_0;
     static const ggml::cpu::repack::tensor_traits<block_iq4_nl, 8, 8, GGML_TYPE_Q8_0> iq4_nl_8x8_q8_0;
 
+    // instance for MXFP4
+    static const ggml::cpu::repack::tensor_traits<block_mxfp4, 4, 4, GGML_TYPE_Q8_0> mxfp4_4x4_q8_0;
+    static const ggml::cpu::repack::tensor_traits<block_mxfp4, 8, 8, GGML_TYPE_Q8_0> mxfp4_8x8_q8_0;
+
     // instance for Q8_0
     static const ggml::cpu::repack::tensor_traits<block_q8_0, 4, 4, GGML_TYPE_Q8_0> q8_0_4x4_q8_0;
     static const ggml::cpu::repack::tensor_traits<block_q8_0, 8, 4, GGML_TYPE_Q8_0> q8_0_4x8_q8_0;
 
+    // instances for RISC-V
+    //
+    // These implement outer-product style matrix multiplication kernels with
+    // an interleave of 1.
+#if defined __riscv_zvfh
+    static const ggml::cpu::repack::tensor_traits<block_q4_0, 1, 16, GGML_TYPE_Q8_0> q4_0_16x1_q8_0;
+    static const ggml::cpu::repack::tensor_traits<block_q4_K, 1, 16, GGML_TYPE_Q8_K> q4_K_16x1_q8_K;
+    static const ggml::cpu::repack::tensor_traits<block_iq4_nl, 1, 16, GGML_TYPE_Q8_0> iq4_nl_16x1_q8_0;
+    static const ggml::cpu::repack::tensor_traits<block_q8_0, 1, 16, GGML_TYPE_Q8_0> q8_0_16x1_q8_0;
+    static const ggml::cpu::repack::tensor_traits<block_q2_K, 1, 16, GGML_TYPE_Q8_K> q2_K_16x1_q8_K;
+#endif
+
     if (cur->type == GGML_TYPE_Q4_0) {
-        if (ggml_cpu_has_avx2() || (ggml_cpu_has_sve() && ggml_cpu_has_matmul_int8() && ggml_cpu_get_sve_cnt() == QK8_0)
-            || (ggml_cpu_has_riscv_v() && (ggml_cpu_get_rvv_vlen() >= QK4_0))) {
+        if (ggml_cpu_has_avx2() || (ggml_cpu_has_sve() && ggml_cpu_has_matmul_int8() && ggml_cpu_get_sve_cnt() == QK8_0)) {
             if (cur->ne[1] % 8 == 0) {
                 return &q4_0_8x8_q8_0;
             }
@@ -3101,6 +4583,17 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons
                 return &q4_0_4x4_q8_0;
             }
         }
+        if (ggml_cpu_has_riscv_v()) {
+            #if defined __riscv_zvfh
+            switch (__riscv_vlenb() * 8) {
+                case 128:  { break; } // TODO
+                case 256:  { if (cur->ne[1] % 16 == 0) { return &q4_0_16x1_q8_0; } break; }
+                case 512:  { break; } // TODO
+                case 1024: { break; } // TODO
+                default:   { return nullptr; }
+            }
+            #endif
+        }
     } else if (cur->type == GGML_TYPE_Q4_K) {
         if (ggml_cpu_has_avx2()) {
             if (cur->ne[1] % 8 == 0) {
@@ -3117,18 +4610,45 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons
                 return &q4_K_8x4_q8_K;
             }
         }
+        if (ggml_cpu_has_riscv_v()) {
+            #if defined __riscv_zvfh
+            switch (__riscv_vlenb() * 8) {
+                case 128:  { break; } // TODO
+                case 256:  { if (cur->ne[1] % 16 == 0) { return &q4_K_16x1_q8_K; } break; }
+                case 512:  { break; } // TODO
+                case 1024: { break; } // TODO
+                default:   { return nullptr; }
+            }
+            #endif
+        }
     } else if (cur->type == GGML_TYPE_Q2_K) {
         if (ggml_cpu_has_avx512()) {
             if (cur->ne[1] % 8 == 0) {
                 return &q2_K_8x8_q8_K;
             }
         }
+        if (ggml_cpu_has_riscv_v()) {
+            #if defined __riscv_zvfh
+            switch (__riscv_vlenb() * 8) {
+                case 128:  { break; } // TODO
+                case 256:  { if (cur->ne[1] % 16 == 0) { return &q2_K_16x1_q8_K; } break; }
+                case 512:  { break; } // TODO
+                case 1024: { break; } // TODO
+                default:   { return nullptr; }
+            }
+            #endif
+        }
     } else if (cur->type == GGML_TYPE_Q5_K) {
         if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
             if (cur->ne[1] % 8 == 0) {
                 return &q5_K_8x8_q8_K;
             }
         }
+        if (ggml_cpu_has_neon() && ggml_cpu_has_dotprod()) {
+            if (cur->ne[1] % 8 == 0) {
+                return &q5_K_8x4_q8_K;
+            }
+        }
     } else if (cur->type == GGML_TYPE_Q6_K) {
         if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
             if (cur->ne[1] % 8 == 0) {
@@ -3151,6 +4671,28 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons
                 return &iq4_nl_4x4_q8_0;
             }
         }
+        if (ggml_cpu_has_riscv_v()) {
+            #if defined __riscv_zvfh
+            switch (__riscv_vlenb() * 8) {
+                case 128:  { break; } // TODO
+                case 256:  { if (cur->ne[1] % 16 == 0) { return &iq4_nl_16x1_q8_0; } break; }
+                case 512:  { break; } // TODO
+                case 1024: { break; } // TODO
+                default:   { return nullptr; }
+            }
+            #endif
+        }
+    } else if (cur->type == GGML_TYPE_MXFP4) {
+        if (ggml_cpu_has_avx2()) {
+            if (cur->ne[1] % 8 == 0) {
+                return &mxfp4_8x8_q8_0;
+            }
+        }
+        if (ggml_cpu_has_neon() && ggml_cpu_has_dotprod()) {
+            if (cur->ne[1] % 4 == 0) {
+                return &mxfp4_4x4_q8_0;
+            }
+        }
     } else if (cur->type == GGML_TYPE_Q8_0) {
         if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
             if (cur->ne[1] % 4 == 0) {
@@ -3162,6 +4704,17 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons
                 return &q8_0_4x4_q8_0;
             }
         }
+        if (ggml_cpu_has_riscv_v()) {
+            #if defined __riscv_zvfh
+            switch (__riscv_vlenb() * 8) {
+                case 128:  { break; } // TODO
+                case 256:  { if (cur->ne[1] % 16 == 0) { return &q8_0_16x1_q8_0; } break; }
+                case 512:  { break; } // TODO
+                case 1024: { break; } // TODO
+                default:   { return nullptr; }
+            }
+            #endif
+        }
     }
 
     return nullptr;
diff --git a/ggml/src/ggml-cpu/repack.h b/ggml/src/ggml-cpu/repack.h
index 39b6b482388..cb21edf6239 100644
--- a/ggml/src/ggml-cpu/repack.h
+++ b/ggml/src/ggml-cpu/repack.h
@@ -28,13 +28,17 @@ template <int K, int N> struct block {
 // control size
 static_assert(sizeof(block<4, 4>) == 4 * sizeof(ggml_half) + QK8_0 * 2, "wrong block<4,4> size/padding");
 static_assert(sizeof(block<4, 8>) == 8 * sizeof(ggml_half) + QK8_0 * 4, "wrong block<4,8> size/padding");
+static_assert(sizeof(block<4, 16>) == 16 * sizeof(ggml_half) + QK8_0 * 8, "wrong block<4,16> size/padding");
 static_assert(sizeof(block<8, 4>) == 4 * sizeof(ggml_half) + QK8_0 * 4, "wrong block<8,4> size/padding");
 static_assert(sizeof(block<8, 8>) == 8 * sizeof(ggml_half) + QK8_0 * 8, "wrong block<8,8> size/padding");
+static_assert(sizeof(block<8, 16>) == 16 * sizeof(ggml_half) + QK8_0 * 16, "wrong block<8,16> size/padding");
 
 using block_q4_0x4 = block<4, 4>;
 using block_q4_0x8 = block<4, 8>;
+using block_q4_0x16 = block<4, 16>;
 using block_q8_0x4 = block<8, 4>;
 using block_q8_0x8 = block<8, 8>;
+using block_q8_0x16 = block<8, 16>;
 
 struct block_q4_Kx8 {
     ggml_half d[8];      // super-block scale for quantized scales
@@ -44,7 +48,14 @@ struct block_q4_Kx8 {
 };
 
 static_assert(sizeof(block_q4_Kx8) == sizeof(ggml_half) * 16 + K_SCALE_SIZE * 8 + QK_K * 4, "wrong q4_K block size/padding");
+struct block_q4_Kx16 {
+    ggml_half d[16];      // super-block scale for quantized scales
+    ggml_half dmin[16];   // super-block scale for quantized mins
+    uint8_t scales[192];  // scales and mins, quantized with 6 bits
+    uint8_t qs[2048];    // 4--bit quants
+};
 
+static_assert(sizeof(block_q4_Kx16) == sizeof(ggml_half) * 32 + K_SCALE_SIZE * 16 + QK_K * 8, "wrong q4_K block size/padding");
 struct block_q2_Kx8 {
     ggml_half d[8];      // super-block scale for quantized scales
     ggml_half dmin[8];   // super-block scale for quantized mins
@@ -53,6 +64,13 @@ struct block_q2_Kx8 {
 };
 
 static_assert(sizeof(block_q2_Kx8) == sizeof(ggml_half) * 16 + QK_K/2 + QK_K * 2, "wrong q2_K block size/padding");
+struct block_q2_Kx16 {
+    ggml_half d[16];       // Super-block scale for quantized scales
+    ggml_half dmin[16];    // Super-block scale for quantized mins
+    uint8_t   scales[256]; // Sub-block scales (16 cols * 16 sub-blocks)
+    uint8_t   qs[1024];    // Data (16 cols * 64 bytes per block)
+};
+static_assert(sizeof(block_q2_Kx16) == sizeof(ggml_half) * 32 + QK_K + QK_K * 4, "wrong q2_K block size/padding");
 
 struct block_q5_Kx8 {
     ggml_half d[8];              // super-block scale for quantized scales
@@ -97,6 +115,24 @@ struct block_iq4_nlx8 {
 
 static_assert(sizeof(block_iq4_nlx8) == 8 * sizeof(ggml_half) + QK4_NL * 4, "wrong iq4_nlx8 block size/padding");
 
+struct block_iq4_nlx16 {
+    ggml_half d[16];            // deltas for 16 iq4_nl blocks
+    uint8_t   qs[QK4_NL * 8];  // nibbles / quants for 16 iq4_nl blocks
+};
+
+static_assert(sizeof(block_iq4_nlx16) == 16 * sizeof(ggml_half) + QK4_NL * 8, "wrong iq4_nlx16 block size/padding");
+struct block_mxfp4x4 {
+    uint8_t e[4];
+    uint8_t qs[QK_MXFP4 * 2];
+};
+static_assert(sizeof(block_mxfp4x4) == 4 + QK_MXFP4 * 2, "wrong mxfp4x4 block size/padding");
+
+struct block_mxfp4x8 {
+    uint8_t e[8];
+    uint8_t qs[QK_MXFP4 * 4];
+};
+static_assert(sizeof(block_mxfp4x8) == 8 + QK_MXFP4 * 4, "wrong mxfp4x8 block size/padding");
+
 #if defined(__cplusplus)
 extern "C" {
 #endif
@@ -111,26 +147,46 @@ void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
 void ggml_gemv_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q4_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q5_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q5_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q6_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q6_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_iq4_nl_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_iq4_nl_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_mxfp4_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_mxfp4_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q8_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q8_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q2_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q5_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q5_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q6_K_8x4_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q6_K_8x8_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_iq4_nl_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_iq4_nl_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
-void ggml_gemv_q8_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
-void ggml_gemv_q8_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_mxfp4_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_mxfp4_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q8_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q8_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+#if defined __riscv_zvfh
+void ggml_quantize_mat_q8_0_4x1(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
+void ggml_quantize_mat_q8_K_4x1(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
+void ggml_gemv_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+#endif
 
 // Native implementations
 void ggml_quantize_mat_q8_0_4x4_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
@@ -143,26 +199,46 @@ void ggml_gemv_q4_0_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs,
 void ggml_gemv_q2_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q4_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q4_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q5_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q5_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q6_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_q6_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemv_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_mxfp4_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_mxfp4_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q8_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q2_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q5_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q5_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q6_K_8x4_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q6_K_8x8_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
-void ggml_gemv_q8_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
-void ggml_gemv_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_mxfp4_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_mxfp4_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q8_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+#if defined __riscv_zvfh
+void ggml_quantize_mat_q8_0_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
+void ggml_quantize_mat_q8_K_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
+void ggml_gemv_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemv_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+void ggml_gemm_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
+#endif
 
 #if defined(__cplusplus)
 } // extern "C"
diff --git a/ggml/src/ggml-cpu/simd-gemm.h b/ggml/src/ggml-cpu/simd-gemm.h
new file mode 100644
index 00000000000..78d663e593e
--- /dev/null
+++ b/ggml/src/ggml-cpu/simd-gemm.h
@@ -0,0 +1,136 @@
+#pragma once
+
+// Computes C[M x N] += A[M x K] * B[K x N]
+
+#include "simd-mappings.h"
+
+// TODO: add support for sizeless vector types
+#if defined(GGML_SIMD) && !defined(__ARM_FEATURE_SVE) && !defined(__riscv_v_intrinsic)
+
+// TODO: untested on avx512
+// These are in units of GGML_F32_EPR
+#if defined(__AVX512F__) || defined (__ARM_NEON__)
+    static constexpr int GEMM_RM = 4;
+    static constexpr int GEMM_RN = 4; // 16+4+1 = 25/32
+#elif defined(__AVX2__) || defined(__AVX__)
+    static constexpr int GEMM_RM = 6;
+    static constexpr int GEMM_RN = 2; // 12+2+1 = 15/16
+#else
+    static constexpr int GEMM_RM = 2;
+    static constexpr int GEMM_RN = 2;
+#endif
+
+template <int RM, int RN>
+static inline void simd_gemm_ukernel(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int K, int N)
+{
+    static constexpr int KN = GGML_F32_EPR;
+
+    GGML_F32_VEC acc[RM][RN];
+    for (int64_t i = 0; i < RM; i++) {
+        for (int r = 0; r < RN; r++) {
+            acc[i][r] = GGML_F32_VEC_LOAD(C + i * N + r * KN);
+        }
+    }
+
+    for (int64_t kk = 0; kk < K; kk++) {
+        GGML_F32_VEC Bv[RN];
+        for (int r = 0; r < RN; r++) {
+            Bv[r] = GGML_F32_VEC_LOAD(B + kk * N + r * KN);
+        }
+        for (int64_t i = 0; i < RM; i++) {
+            GGML_F32_VEC p = GGML_F32_VEC_SET1(A[i * K + kk]);
+            for (int r = 0; r < RN; r++) {
+                acc[i][r] = GGML_F32_VEC_FMA(acc[i][r], Bv[r], p);
+            }
+        }
+    }
+
+    for (int64_t i = 0; i < RM; i++) {
+        for (int r = 0; r < RN; r++) {
+            GGML_F32_VEC_STORE(C + i * N + r * KN, acc[i][r]);
+        }
+    }
+}
+
+// C[M x N] += A[M x K] * B[K x N]
+static void simd_gemm(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int M, int K, int N)
+{
+    static constexpr int KN = GGML_F32_EPR;
+
+    int64_t ii = 0;
+    for (; ii + GEMM_RM <= M; ii += GEMM_RM) {
+        int64_t jj = 0;
+        for (; jj + GEMM_RN * KN <= N; jj += GEMM_RN * KN) {
+            simd_gemm_ukernel<GEMM_RM, GEMM_RN>(C + jj, A, B + jj, K, N);
+        }
+        for (; jj + KN <= N; jj += KN) {
+            simd_gemm_ukernel<GEMM_RM, 1>(C + jj, A, B + jj, K, N);
+        }
+        for (; jj < N; jj++) {
+            for (int64_t i = 0; i < GEMM_RM; i++) {
+                float a = C[i * N + jj];
+                for (int64_t kk = 0; kk < K; kk++) {
+                    a += A[i + kk] * B[kk * N + jj];
+                }
+                C[i * N + jj] = a;
+            }
+        }
+
+        A += GEMM_RM * K;
+        C += GEMM_RM * N;
+    }
+
+    // Tail rows: one at a time
+    for (; ii < M; ii++) {
+        int64_t jj = 0;
+        for (; jj + GEMM_RN * KN <= N; jj += GEMM_RN * KN) {
+            simd_gemm_ukernel<1, GEMM_RN>(C + jj, A, B + jj, K, N);
+        }
+        for (; jj + KN <= N; jj += KN) {
+            simd_gemm_ukernel<1, 1>(C + jj, A, B + jj, K, N);
+        }
+        for (; jj < N; jj++) {
+            float a = C[jj];
+            for (int64_t kk = 0; kk < K; kk++) {
+                a += A[kk] * B[kk * N + jj];
+            }
+            C[jj] = a;
+        }
+
+        A += K;
+        C += N;
+    }
+}
+
+#if defined(__GNUC__) && !defined(__clang__)
+#pragma GCC diagnostic pop
+#endif
+
+#else // scalar path
+
+static void simd_gemm(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int M, int K, int N)
+{
+    for (int64_t i = 0; i < M; i++) {
+        for (int64_t j = 0; j < N; j++) {
+            float sum = C[i * N + j];
+            for (int64_t kk = 0; kk < K; kk++) {
+                sum += A[i * K + kk] * B[kk * N + j];
+            }
+            C[i * N + j] = sum;
+        }
+    }
+}
+
+#endif // GGML_SIMD
diff --git a/ggml/src/ggml-cpu/simd-mappings.h b/ggml/src/ggml-cpu/simd-mappings.h
index 630e506542b..22de55700d4 100644
--- a/ggml/src/ggml-cpu/simd-mappings.h
+++ b/ggml/src/ggml-cpu/simd-mappings.h
@@ -1160,6 +1160,14 @@ static inline void __lsx_f16x4_store(ggml_fp16_t * x, __m128 y) {
     float32x4_t tmp = x[0] + vec_reve(x[0]);        \
     res = tmp[0] + tmp[1];                          \
 }
+#define GGML_F32x4_REDUCE_4(res, s0, s1, s2, s3) \
+{                                                \
+    float32x4_t v = vec_add(vec_add(s0, s1),     \
+                            vec_add(s2, s3));    \
+    v = vec_add(v, vec_sld(v, v, 8));            \
+    v = vec_add(v, vec_sld(v, v, 4));            \
+    res += (ggml_float)vec_extract(v, 0);        \
+}
 
 #define GGML_F32_VEC        GGML_F32x4
 #define GGML_F32_VEC_ZERO   GGML_F32x4_ZERO
@@ -1209,6 +1217,24 @@ static inline void __lzs_f16cx4_store(ggml_fp16_t * x, float32x4_t v_y) {
 #define GGML_F16_VEC_MUL            GGML_F32x4_MUL
 #define GGML_F16_VEC_REDUCE         GGML_F32x4_REDUCE
 
+// BF16 s390x
+#define GGML_BF16_STEP 16
+#define GGML_BF16_EPR  8
+
+#define GGML_BF16x8         __vector unsigned short
+#define GGML_BF16x8_ZERO    vec_splats((unsigned short)0)
+#define GGML_BF16x8_LOAD(p) vec_xl(0, (const unsigned short *)(p))
+
+#define GGML_BF16_VEC      GGML_BF16x8
+#define GGML_BF16_VEC_ZERO GGML_BF16x8_ZERO
+#define GGML_BF16_VEC_LOAD GGML_BF16x8_LOAD
+#define GGML_BF16_TO_F32_LO(v) ((float32x4_t) vec_mergel((v), GGML_BF16_VEC_ZERO))
+#define GGML_BF16_TO_F32_HI(v) ((float32x4_t) vec_mergeh((v), GGML_BF16_VEC_ZERO))
+#define GGML_BF16_FMA_LO(acc, x, y) \
+    (acc) = GGML_F32x4_FMA((acc), GGML_BF16_TO_F32_LO(x), GGML_BF16_TO_F32_LO(y))
+#define GGML_BF16_FMA_HI(acc, x, y) \
+    (acc) = GGML_F32x4_FMA((acc), GGML_BF16_TO_F32_HI(x), GGML_BF16_TO_F32_HI(y))
+
 #elif defined(__riscv_v_intrinsic)
 
 // compatible with vlen >= 128
diff --git a/ggml/src/ggml-cpu/vec.cpp b/ggml/src/ggml-cpu/vec.cpp
index 8708cd4e92f..d0e4001338a 100644
--- a/ggml/src/ggml-cpu/vec.cpp
+++ b/ggml/src/ggml-cpu/vec.cpp
@@ -236,8 +236,7 @@ void ggml_vec_dot_bf16(int n, float * GGML_RESTRICT s, size_t bs, ggml_bf16_t *
     vfloat32m1_t redsum = __riscv_vfredusum_vs_f32m4_f32m1(vsum0, __riscv_vfmv_v_f_f32m1(0.0f, 1), vl);
     sumf += __riscv_vfmv_f_s_f32m1_f32(redsum);
 
-#endif
-#if defined(__POWER9_VECTOR__)
+#elif defined(__POWER9_VECTOR__) || defined(__VXE__) || defined(__VXE2__)
     const int np = (n & ~(GGML_BF16_STEP - 1));
     if (np > 0) {
         GGML_F32_VEC sum[4] = {GGML_F32_VEC_ZERO};
diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh
index a3256d59dd0..36d8a3aaab2 100644
--- a/ggml/src/ggml-cuda/common.cuh
+++ b/ggml/src/ggml-cuda/common.cuh
@@ -1149,8 +1149,7 @@ struct ggml_cuda_graph {
     size_t num_nodes = 0;
     std::vector<cudaGraphNode_t> nodes;
     bool disable_due_to_gpu_arch = false;
-    bool disable_due_to_too_many_updates = false;
-    int number_consecutive_updates = 0;
+    bool warmup_complete = false;
     std::vector<ggml_cuda_graph_node_properties> props;
 
     // these are extra tensors (inputs) that participate in the ggml graph but are not nodes
@@ -1159,21 +1158,9 @@ struct ggml_cuda_graph {
     // ref: https://github.com/ggml-org/llama.cpp/pull/19165
     std::vector<ggml_cuda_graph_node_properties> extra;
 
-    void record_update(bool use_graph, bool update_required) {
-        if (use_graph && update_required) {
-            number_consecutive_updates++;
-        } else {
-            number_consecutive_updates = 0;
-        }
-        if (number_consecutive_updates >= 4) {
-            GGML_LOG_DEBUG("%s: disabling CUDA graphs due to too many consecutive updates\n", __func__);
-            disable_due_to_too_many_updates = true;
-        }
-    }
-
     bool is_enabled() const {
         static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
-        return !(disable_due_to_gpu_arch || disable_cuda_graphs_due_to_env || disable_due_to_too_many_updates);
+        return !(disable_due_to_gpu_arch || disable_cuda_graphs_due_to_env);
     }
 #endif
 };
diff --git a/ggml/src/ggml-cuda/convert.cu b/ggml/src/ggml-cuda/convert.cu
index ba3d4eeb880..b70492c7d6c 100644
--- a/ggml/src/ggml-cuda/convert.cu
+++ b/ggml/src/ggml-cuda/convert.cu
@@ -7,7 +7,8 @@
 
 template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static __global__ void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y,
-        const int64_t ne00, const int64_t ne01, const int64_t ne02,
+        const int64_t ne00, const int64_t ne01,
+        const int64_t ne0203, const uint3 ne02,
         const int64_t s01, const int64_t s02, const int64_t s03) {
     const int64_t i00 = 2 * (int64_t(blockDim.x)*blockIdx.x + threadIdx.x);
 
@@ -15,24 +16,28 @@ static __global__ void dequantize_block(const void * __restrict__ vx, dst_t * __
         return;
     }
 
-    const int64_t i01 = blockIdx.y;
-    const int64_t i02 = blockIdx.z % ne02;
-    const int64_t i03 = blockIdx.z / ne02;
+    for (int64_t i01 = blockIdx.y; i01 < ne01; i01 += gridDim.y) {
+        for (int64_t i0203 = blockIdx.z; i0203 < ne0203; i0203 += gridDim.z) {
+            const uint2 dm = fast_div_modulo((uint32_t)i0203, ne02);
+            const int64_t i02 = dm.y;
+            const int64_t i03 = dm.x;
 
-    const int64_t ibx0 = i03*s03 + i02*s02 + i01*s01;
+            const int64_t ibx0 = i03*s03 + i02*s02 + i01*s01;
 
-    const int64_t ib = ibx0 + i00/qk; // block index
-    const int64_t iqs = (i00%qk)/qr; // quant index
-    const int64_t iybs = i00 - i00%qk; // y block start index
-    const int64_t y_offset = qr == 1 ? 1 : qk/2;
+            const int64_t ib = ibx0 + i00/qk; // block index
+            const int64_t iqs = (i00%qk)/qr; // quant index
+            const int64_t iybs = i00 - i00%qk; // y block start index
+            const int64_t y_offset = qr == 1 ? 1 : qk/2;
 
-    // dequantize
-    float2 v;
-    dequantize_kernel(vx, ib, iqs, v);
+            // dequantize
+            float2 v;
+            dequantize_kernel(vx, ib, iqs, v);
 
-    const int64_t iy0 = ((i03*ne02 + i02)*ne01 + i01)*ne00 + iybs + iqs;
-    y[iy0 + 0]        = ggml_cuda_cast<dst_t>(v.x);
-    y[iy0 + y_offset] = ggml_cuda_cast<dst_t>(v.y);
+            const int64_t iy0 = (i0203*ne01 + i01)*ne00 + iybs + iqs;
+            y[iy0 + 0]        = ggml_cuda_cast<dst_t>(v.x);
+            y[iy0 + y_offset] = ggml_cuda_cast<dst_t>(v.y);
+        }
+    }
 }
 
 template <bool need_check>
@@ -485,9 +490,11 @@ template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static void dequantize_block_cuda(const void * vx, dst_t * y,
         const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t ne03,
         const int64_t s01, const int64_t s02, const int64_t s03, cudaStream_t stream) {
-    const dim3 num_blocks((ne00 + 2*CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / (2*CUDA_DEQUANTIZE_BLOCK_SIZE), ne01, ne02*ne03);
+    const int64_t ne0203 = ne02*ne03;
+    const uint3 ne02_fdv = init_fastdiv_values(ne02);
+    const dim3 num_blocks((ne00 + 2*CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / (2*CUDA_DEQUANTIZE_BLOCK_SIZE), (int)std::min(ne01, (int64_t)65535), (int)std::min(ne0203, (int64_t)65535));
     dequantize_block<qk, qr, dequantize_kernel><<<num_blocks, CUDA_DEQUANTIZE_BLOCK_SIZE, 0, stream>>>
-        (vx, y, ne00, ne01, ne02, s01, s02, s03);
+        (vx, y, ne00, ne01, ne0203, ne02_fdv, s01, s02, s03);
 }
 
 template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
@@ -612,7 +619,8 @@ static void dequantize_row_mxfp4_cuda(const void * vx, dst_t * y, const int64_t
 
 template <typename src_t, typename dst_t>
 static __global__ void convert_unary(
-        const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t ne00, const int64_t ne01, const int64_t ne02,
+        const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t ne00, const int64_t ne01,
+        const int64_t ne0203, const uint3 ne02,
         const int64_t s01, const int64_t s02, const int64_t s03) {
     const int64_t i00 = (int64_t)blockDim.x*blockIdx.x + threadIdx.x;
 
@@ -620,24 +628,30 @@ static __global__ void convert_unary(
         return;
     }
 
-    const int64_t i01 = blockIdx.y;
-    const int64_t i02 = blockIdx.z % ne02;
-    const int64_t i03 = blockIdx.z / ne02;
-
     const src_t * x = (const src_t *) vx;
 
-    const int64_t ix = i03*s03 + i02*s02 + i01*s01 + i00;
-    const int64_t iy = ((i03*ne02 + i02)*ne01 + i01)*ne00 + i00;
-    y[iy] = ggml_cuda_cast<dst_t>(x[ix]);
+    for (int64_t i01 = blockIdx.y; i01 < ne01; i01 += gridDim.y) {
+        for (int64_t i0203 = blockIdx.z; i0203 < ne0203; i0203 += gridDim.z) {
+            const uint2 dm = fast_div_modulo((uint32_t)i0203, ne02);
+            const int64_t i02 = dm.y;
+            const int64_t i03 = dm.x;
+
+            const int64_t ix = i03*s03 + i02*s02 + i01*s01 + i00;
+            const int64_t iy = (i0203*ne01 + i01)*ne00 + i00;
+            y[iy] = ggml_cuda_cast<dst_t>(x[ix]);
+        }
+    }
 }
 
 template <typename src_t, typename dst_t>
 static void convert_unary_cuda(const void * vx, dst_t * y,
         const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t ne03,
         const int64_t s01, const int64_t s02, const int64_t s03, cudaStream_t stream) {
-    const dim3 num_blocks((ne00 + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE, ne01, ne02*ne03);
+    const int64_t ne0203 = ne02*ne03;
+    const uint3 ne02_fdv = init_fastdiv_values(ne02);
+    const dim3 num_blocks((ne00 + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE, (int)std::min(ne01, (int64_t)65535), (int)std::min(ne0203, (int64_t)65535));
     convert_unary<src_t><<<num_blocks, CUDA_DEQUANTIZE_BLOCK_SIZE, 0, stream>>>
-        (vx, y, ne00, ne01, ne02, s01, s02, s03);
+        (vx, y, ne00, ne01, ne0203, ne02_fdv, s01, s02, s03);
 }
 
 template <typename src_t, typename dst_t>
diff --git a/ggml/src/ggml-cuda/fattn-mma-f16.cuh b/ggml/src/ggml-cuda/fattn-mma-f16.cuh
index 0b8ef90794c..fff70c8eb89 100644
--- a/ggml/src/ggml-cuda/fattn-mma-f16.cuh
+++ b/ggml/src/ggml-cuda/fattn-mma-f16.cuh
@@ -111,6 +111,44 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     return ggml_cuda_fattn_mma_get_config_ampere(DKQ, DV, ncols);
 }
 
+static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_config_cdna(const int DKQ, const int DV, const int ncols) {
+    // Conservative configs for CDNA (MI100+): 64KB LDS, wavefront64, nstages=1 (no cp.async).
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 64,  64,  8, 128, 2, 128,  32,  32,  32, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 64,  64, 16, 128, 2,  64,  32,  32,  32, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 64,  64, 32, 128, 2,  64,  32,  32,  32, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 64,  64, 64, 256, 2,  64,  32,  32,  32, 1, true);
+
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 80,  80,  8, 128, 2, 128,  40,  40,  40, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 80,  80, 16, 128, 2,  64,  40,  40,  40, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 80,  80, 32, 128, 2,  64,  40,  40,  40, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 80,  80, 64, 256, 2,  64,  40,  40,  40, 1, true);
+
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 96,  96,  8, 128, 2, 128,  48,  48,  48, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 96,  96, 16, 128, 2,  64,  48,  48,  48, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 96,  96, 32, 128, 2,  64,  48,  48,  48, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE( 96,  96, 64, 256, 2,  64,  48,  48,  48, 1, true);
+
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(112, 112,  8, 128, 2, 128,  56,  56,  56, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(112, 112, 16, 128, 2,  64,  56,  56,  56, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(112, 112, 32, 128, 2,  64,  56,  56,  56, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(112, 112, 64, 256, 2,  64,  56,  56,  56, 1, true);
+
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(128, 128,  8, 128, 2, 128,  64,  64,  64, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(128, 128, 16, 128, 2,  64,  64,  64,  64, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(128, 128, 32, 128, 2,  64,  64,  64,  64, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(128, 128, 64, 256, 2,  64,  64,  64,  64, 1, true);
+
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256,  8,  64, 4,  64, 128, 128, 128, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 16,  64, 4,  32, 128, 128, 128, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  32, 128, 128, 128, 1, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 256, 2,  32, 128, 128, 128, 1, true);
+
+    // Fallback for unsupported DKQ values (e.g. 576). Must return non-zero values to satisfy
+    // compile-time static_asserts even though the kernel guard prevents runtime execution.
+    // nthreads=256 gives nwarps=4 (warp_size=64) or 8 (warp_size=32), nbatch_fa=128 satisfies np*16 divisibility.
+    return fattn_mma_config(256, 1, 128, 4, 4, 4, 1, false);
+}
+
 static __host__ fattn_mma_config ggml_cuda_fattn_mma_get_config(const int DKQ, const int DV, const int ncols, const int cc) {
     if (ampere_mma_available(cc)) {
         return ggml_cuda_fattn_mma_get_config_ampere(DKQ, DV, ncols);
@@ -118,6 +156,9 @@ static __host__ fattn_mma_config ggml_cuda_fattn_mma_get_config(const int DKQ, c
     if (turing_mma_available(cc)) {
         return ggml_cuda_fattn_mma_get_config_turing(DKQ, DV, ncols);
     }
+    if (amd_mfma_available(cc)) {
+        return ggml_cuda_fattn_mma_get_config_cdna(DKQ, DV, ncols);
+    }
     if (amd_wmma_available(cc)) {
         return ggml_cuda_fattn_mma_get_config_rdna(DKQ, DV, ncols);
     }
@@ -130,6 +171,8 @@ static constexpr __device__ fattn_mma_config ggml_cuda_fattn_mma_get_config(cons
     return ggml_cuda_fattn_mma_get_config_ampere(DKQ, DV, ncols);
 #elif defined(TURING_MMA_AVAILABLE)
     return ggml_cuda_fattn_mma_get_config_turing(DKQ, DV, ncols);
+#elif defined(AMD_MFMA_AVAILABLE)
+    return ggml_cuda_fattn_mma_get_config_cdna(DKQ, DV, ncols);
 #elif defined(VOLTA_MMA_AVAILABLE)
     return ggml_cuda_fattn_mma_get_config_volta(DKQ, DV, ncols);
 #elif defined(AMD_WMMA_AVAILABLE)
@@ -205,15 +248,15 @@ static constexpr __device__ bool ggml_cuda_fattn_mma_get_Q_in_reg(const int DKQ,
 }
 
 static constexpr __device__ int get_cols_per_thread() {
-#if defined(AMD_WMMA_AVAILABLE)
-    return 1; // RDNA has a single column.
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
+    return 1; // AMD has a single column per thread.
 #else
     return 2; // This is specifically KQ columns, Volta only has a single VKQ column.
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
 }
 
 static __host__ int get_cols_per_warp(const int cc) {
-    if (turing_mma_available(cc) || amd_wmma_available(cc)) {
+    if (turing_mma_available(cc) || amd_wmma_available(cc) || amd_mfma_available(cc)) {
         return 16;
     } else {
         // Volta
@@ -241,6 +284,7 @@ static constexpr __device__ int ggml_cuda_fattn_mma_get_nstages(const int DKQ, c
 template<int stride_tile, int nwarps, int nbatch_fa, bool use_cp_async, bool oob_check>
 static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
         const half2 * const __restrict__ KV, half2 * const __restrict__ tile_KV, const int D2, const int stride_KV, const int i_sup) {
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
     // K/V data is loaded with decreasing granularity for D for better memory bandwidth.
     // The minimum granularity with cp.async is 16 bytes, with synchronous data loading it's 4 bytes.
     if constexpr (use_cp_async) {
@@ -252,10 +296,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
         const unsigned int tile_KV_32 = ggml_cuda_cvta_generic_to_shared(tile_KV);
 
         auto load = [&] __device__ (auto n) {
-            const int stride_k = WARP_SIZE >> n;
-            const int k0_start = stride_k == WARP_SIZE ? 0 : chunks_per_row - chunks_per_row % (2*stride_k);
+            const int stride_k = warp_size >> n;
+            const int k0_start = stride_k == warp_size ? 0 : chunks_per_row - chunks_per_row % (2*stride_k);
             const int k0_stop  =                             chunks_per_row - chunks_per_row % (1*stride_k);
-            const int stride_i = WARP_SIZE / stride_k;
+            const int stride_i = warp_size / stride_k;
 
             if (k0_start == k0_stop) {
                 return;
@@ -263,7 +307,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
 
 #pragma unroll
             for (int i0 = 0; i0 < nbatch_fa; i0 += nwarps*stride_i) {
-                const int i = i0 + threadIdx.y*stride_i + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k);
+                const int i = i0 + threadIdx.y*stride_i + (stride_k == warp_size ? 0 : threadIdx.x / stride_k);
 
                 if (i0 + nwarps*stride_i > nbatch_fa && i >= nbatch_fa) {
                     break;
@@ -271,7 +315,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
 
 #pragma unroll
                 for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
-                    const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k);
+                    const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
                     cp_async_cg_16<preload>(tile_KV_32 + i*(stride_tile*sizeof(half2)) + k*16, KV + i*stride_KV + k*h2_per_chunk);
                 }
@@ -287,10 +331,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
     } else {
         // TODO use ggml_cuda_memcpy_1
         auto load = [&] __device__ (const int n) {
-            const int stride_k = WARP_SIZE >> n;
-            const int k0_start = stride_k == WARP_SIZE ? 0 : D2 - D2 % (2*stride_k);
+            const int stride_k = warp_size >> n;
+            const int k0_start = stride_k == warp_size ? 0 : D2 - D2 % (2*stride_k);
             const int k0_stop  =                             D2 - D2 % (1*stride_k);
-            const int stride_i = WARP_SIZE / stride_k;
+            const int stride_i = warp_size / stride_k;
 
             if (k0_start == k0_stop) {
                 return;
@@ -298,7 +342,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
 
 #pragma unroll
             for (int i0 = 0; i0 < nbatch_fa; i0 += nwarps*stride_i) {
-                const int i = i0 + threadIdx.y*stride_i + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k);
+                const int i = i0 + threadIdx.y*stride_i + (stride_k == warp_size ? 0 : threadIdx.x / stride_k);
 
                 if (i0 + nwarps*stride_i > nbatch_fa && i >= nbatch_fa) {
                     break;
@@ -306,7 +350,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
 
 #pragma unroll
                 for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
-                    const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k);
+                    const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
                     tile_KV[i*stride_tile + k] = !oob_check || i < i_sup ? KV[i*stride_KV + k] : make_half2(0.0f, 0.0f);
                 }
@@ -324,18 +368,19 @@ template<int ncols1, int nwarps, int nbatch_fa, bool use_cp_async, bool oob_chec
 static __device__ __forceinline__ void flash_attn_ext_f16_load_mask(
         const half * const __restrict__ mask_h, half * const __restrict__ tile_mask,
         const int stride_mask, const int i_sup, const int j0, const uint3 ne01) {
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
     if constexpr (use_cp_async) {
-        static_assert(nbatch_fa <= 8*WARP_SIZE && nbatch_fa % 8 == 0, "bad nbatch_fa");
+        static_assert(nbatch_fa <= 8*warp_size && nbatch_fa % 8 == 0, "bad nbatch_fa");
         static_assert(!oob_check, "OOB check incompatible with cp_async");
         constexpr int preload = nbatch_fa >= 32 ? nbatch_fa * sizeof(half) : 64;
-        constexpr int cols_per_warp = 8*WARP_SIZE/nbatch_fa;
+        constexpr int cols_per_warp = 8*warp_size/nbatch_fa;
         constexpr int stride_j = nwarps * cols_per_warp;
 
         const unsigned int tile_mask_32 = ggml_cuda_cvta_generic_to_shared(tile_mask);
 
 #pragma unroll
         for (int j1 = 0; j1 < ncols1; j1 += stride_j) {
-            const int j_sram = j1 + threadIdx.y*cols_per_warp + threadIdx.x / (WARP_SIZE/cols_per_warp);
+            const int j_sram = j1 + threadIdx.y*cols_per_warp + threadIdx.x / (warp_size/cols_per_warp);
             const int j_vram = fastmodulo(j0 + j_sram, ne01);
 
             if (j1 + stride_j > ncols1 && j_sram >= ncols1) {
@@ -357,25 +402,25 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_mask(
             }
 
 #pragma unroll
-            for (int i0 = 0; i0 < nbatch_fa; i0 += WARP_SIZE) {
+            for (int i0 = 0; i0 < nbatch_fa; i0 += warp_size) {
                 const int i = i0 + threadIdx.x;
 
                 tile_mask[j_sram*(nbatch_fa + 8) + i] = i < i_sup ? mask_h[j_vram*stride_mask + i] : half(0.0f);
             }
         }
-    } else if constexpr (nbatch_fa < 2*WARP_SIZE) {
-        constexpr int cols_per_warp = 2*WARP_SIZE/nbatch_fa;
+    } else if constexpr (nbatch_fa < 2*warp_size) {
+        constexpr int cols_per_warp = 2*warp_size/nbatch_fa;
         constexpr int stride_j = nwarps * cols_per_warp;
 #pragma unroll
         for (int j1 = 0; j1 < ncols1; j1 += stride_j) {
-            const int j_sram = j1 + threadIdx.y*cols_per_warp + threadIdx.x / (WARP_SIZE/cols_per_warp);
+            const int j_sram = j1 + threadIdx.y*cols_per_warp + threadIdx.x / (warp_size/cols_per_warp);
             const int j_vram = fastmodulo(j0 + j_sram, ne01);
 
             if (j1 + stride_j > ncols1 && j_sram >= ncols1) {
                 break;
             }
 
-            const int i = threadIdx.x % (WARP_SIZE/cols_per_warp);
+            const int i = threadIdx.x % (warp_size/cols_per_warp);
 
             ggml_cuda_memcpy_1<sizeof(half2)>(tile_mask + j_sram*(nbatch_fa + 8) + 2*i, mask_h + j_vram*stride_mask + 2*i);
         }
@@ -390,7 +435,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_mask(
             }
 
 #pragma unroll
-            for (int i0 = 0; i0 < nbatch_fa; i0 += 2*WARP_SIZE) {
+            for (int i0 = 0; i0 < nbatch_fa; i0 += 2*warp_size) {
                 const int i = i0 + 2*threadIdx.x;
 
                 ggml_cuda_memcpy_1<sizeof(half2)>(tile_mask + j_sram*(nbatch_fa + 8) + i, mask_h + j_vram*stride_mask + i);
@@ -428,7 +473,8 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
         const int jt,
         const int kb0,
         const int k_VKQ_sup) {
-#if defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4))
+#if defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE)
+    constexpr int  warp_size       = ggml_cuda_get_physical_warp_size();
     constexpr int  ncols           = ncols1 * ncols2;
     constexpr int  cols_per_warp   = T_B_KQ::I;
     constexpr int  cols_per_thread = get_cols_per_thread();
@@ -447,7 +493,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
     const int k_VKQ_0 = kb0 * nbatch_fa;
 #if defined(TURING_MMA_AVAILABLE)
     T_C_KQ KQ_C[nbatch_fa/(np*(cols_per_warp == 8 ? T_C_KQ::I : T_C_KQ::J))];
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
     T_C_KQ KQ_C[nbatch_fa/(np*T_C_KQ::J)];
 #else // Volta
     T_C_KQ KQ_C[nbatch_fa/(np*T_C_KQ::J)];
@@ -500,13 +546,13 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                         mma(KQ_C[i_KQ_00/(np*T_A_KQ::I)], K_A, Q_B[k_KQ_0/T_A_KQ::J]);
                     } else {
                         // Wide version of KQ_C is column-major
-#if defined(AMD_WMMA_AVAILABLE)
-                        // RDNA matrix C is column-major.
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
+                        // AMD matrix C is column-major.
                         mma(KQ_C[i_KQ_00/(np*T_A_KQ::I)], K_A, Q_B[k_KQ_0/T_A_KQ::J]);
 #else
                         // swap A and B for CUDA.
                         mma(KQ_C[i_KQ_00/(np*T_A_KQ::I)], Q_B[k_KQ_0/T_A_KQ::J], K_A);
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     }
                 }
             }
@@ -526,13 +572,13 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                         mma(KQ_C[i_KQ_00/(np*T_A_KQ::I)], K_A, Q_B[0]);
                     } else {
                         // Wide version of KQ_C is column-major
-#if defined(AMD_WMMA_AVAILABLE)
-                        // RDNA matrix C is column-major.
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
+                        // AMD matrix C is column-major.
                         mma(KQ_C[i_KQ_00/(np*T_A_KQ::I)], K_A, Q_B[0]);
 #else
                         // swap A and B for CUDA.
                         mma(KQ_C[i_KQ_00/(np*T_A_KQ::I)], Q_B[0], K_A);
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     }
                 }
             }
@@ -585,12 +631,12 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
 #pragma unroll
             for (int l = 0; l < T_C_KQ::ne; ++l) {
                 if (!oob_check || k0 + (threadIdx.y % np)*T_C_KQ::I + T_C_KQ::get_i(l) < k_VKQ_sup) {
-#if defined(AMD_WMMA_AVAILABLE)
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     constexpr int KQ_idx = 0;
 #else
                     // Turing + Volta:
                     const int KQ_idx = l % 2;
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     KQ_max_new[KQ_idx] = fmaxf(KQ_max_new[KQ_idx], KQ_C[k0/(np*T_C_KQ::I)].x[l] + FATTN_KQ_MAX_OFFSET);
                 }
             }
@@ -601,7 +647,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
         for (int col = 0; col < cols_per_thread; ++col) {
 #pragma unroll
             for (int offset = 16; offset >= 4; offset >>= 1) {
-                KQ_max_new[col] = fmaxf(KQ_max_new[col], __shfl_xor_sync(0xFFFFFFFF, KQ_max_new[col], offset, WARP_SIZE));
+                KQ_max_new[col] = fmaxf(KQ_max_new[col], __shfl_xor_sync(0xFFFFFFFF, KQ_max_new[col], offset, warp_size));
             }
         }
 
@@ -611,12 +657,12 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
 #pragma unroll
             for (int l = 0; l < T_C_KQ::ne; ++l) {
                 if (!oob_check || k0 + (threadIdx.y % np)*T_C_KQ::I + T_C_KQ::get_i(l) < k_VKQ_sup) {
-#if defined(AMD_WMMA_AVAILABLE)
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     constexpr int KQ_idx = 0;
 #else
                     // Turing + Volta:
                     const int KQ_idx = l % 2;
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     KQ_C[k0/(np*T_C_KQ::I)].x[l] = expf(KQ_C[k0/(np*T_C_KQ::I)].x[l] - KQ_max_new[KQ_idx]);
                     KQ_rowsum_add[KQ_idx] += KQ_C[k0/(np*T_C_KQ::I)].x[l];
                 } else {
@@ -649,12 +695,12 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
 #pragma unroll
             for (int l = 0; l < T_C_KQ::ne; ++l) {
                 if (!oob_check || k0 + (threadIdx.y % np)*T_C_KQ::J + T_C_KQ::get_j(l) < k_VKQ_sup) {
-#if defined(AMD_WMMA_AVAILABLE)
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     constexpr int KQ_idx = 0;
 #else
                     // Turing + Volta:
                     const int KQ_idx = (l/2) % 2;
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     KQ_max_new[KQ_idx] = fmaxf(KQ_max_new[KQ_idx], KQ_C[(k0/(np*T_C_KQ::J))].x[l] + FATTN_KQ_MAX_OFFSET);
                 }
             }
@@ -666,6 +712,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
             // Values per KQ column are spread across 4 threads:
             constexpr int offset_first = 2;
             constexpr int offset_last  = 1;
+#elif defined(AMD_MFMA_AVAILABLE)
+            // MFMA: 4 threads per Q column (threadIdx.x % 16 == col, spaced by 16).
+            constexpr int offset_first = 32;
+            constexpr int offset_last  = 16;
 #elif defined(AMD_WMMA_AVAILABLE)
             // Values per KQ column are spread across 2 threads:
             constexpr int offset_first = 16;
@@ -677,7 +727,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
 #endif // defined(TURING_MMA_AVAILABLE)
 #pragma unroll
             for (int offset = offset_first; offset >= offset_last; offset >>= 1) {
-                KQ_max_new[col] = fmaxf(KQ_max_new[col], __shfl_xor_sync(0xFFFFFFFF, KQ_max_new[col], offset, WARP_SIZE));
+                KQ_max_new[col] = fmaxf(KQ_max_new[col], __shfl_xor_sync(0xFFFFFFFF, KQ_max_new[col], offset, warp_size));
             }
         }
 
@@ -687,12 +737,12 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
 #pragma unroll
             for (int l = 0; l < T_C_KQ::ne; ++l) {
                 if (!oob_check || k0 + (threadIdx.y % np)*T_C_KQ::J + T_C_KQ::get_j(l) < k_VKQ_sup) {
-#if defined(AMD_WMMA_AVAILABLE)
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     constexpr int KQ_idx = 0;
 #else
                     // Turing + Volta:
                     const int KQ_idx = (l/2) % 2;
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                     KQ_C[(k0/(np*T_C_KQ::J))].x[l] = expf(KQ_C[(k0/(np*T_C_KQ::J))].x[l] - KQ_max_new[KQ_idx]);
                     KQ_rowsum_add[KQ_idx] += KQ_C[(k0/(np*T_C_KQ::J))].x[l];
                 } else {
@@ -739,7 +789,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                 }
             }
         }
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
         const half2 KQ_max_scale_h2 = make_half2(
             KQ_max_scale[0], KQ_max_scale[0]);
 #pragma unroll
@@ -818,7 +868,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
         }
         const half2 * tile_V_i = !V_is_K_view || i0_stop > 2*nbatch_K2 ? tile_V : tile_V + i0_start/2;
 
-#if defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+#if defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
         constexpr int i0_stride = cols_per_warp == 8 ? T_C_VKQ::I : 2*T_C_VKQ::J;
 #pragma unroll
         for (int i_VKQ_0 = i0_start; i_VKQ_0 < i0_stop; i_VKQ_0 += i0_stride) {
@@ -830,24 +880,38 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                 T_A_VKQ A; // Transposed in SRAM but not in registers, gets transposed on load.
 #if defined(LDMATRIX_TRANS_AVAILABLE)
                 load_ldmatrix_trans(A, tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2, stride_tile_V);
+#elif defined(AMD_MFMA_AVAILABLE)
+                // MFMA A register layout: A_mat[i=lane%16][k=4*(lane/16)+reg].
+                // Normal load gives A_mat[seq][dv] but we need A_mat[dv][seq] = V^T.
+                // Load with transposed addressing: 4 strided half loads.
+                {
+                    const half2 * xs0 = tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2;
+                    const half * xs0_h = (const half *) xs0;
+                    const int stride_h = stride_tile_V * 2; // stride in half units
+                    half * A_h = (half *) A.x;
+#pragma unroll
+                    for (int l = 0; l < 4; ++l) {
+                        A_h[l] = xs0_h[(4*(threadIdx.x / 16) + l) * stride_h + threadIdx.x % 16];
+                    }
+                }
 #else
                 // TODO: Try to transpose tile_V when loading gmem to smem.
                 // Use mma to transpose T_A_VKQ for RDNA.
                 T_A_VKQ A_trans;
                 load_ldmatrix(A_trans, tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2, stride_tile_V);
                 mma(A, A_trans, A_identity);
-#endif // defined(TURING_MMA_AVAILABLE)
+#endif // defined(LDMATRIX_TRANS_AVAILABLE)
                 if constexpr (T_B_KQ::I == 8) {
                     mma(VKQ_C[i_VKQ_0/i0_stride], A, B[k00/(np*T_A_VKQ::J)]);
                 } else {
                     // Wide version of VKQ_C is column-major.
-#if defined(AMD_WMMA_AVAILABLE)
-                    // RDNA matrix C is column-major.
+#if defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
+                    // AMD matrix C is column-major.
                     mma(VKQ_C[i_VKQ_0/i0_stride], A, B[k00/(np*T_A_VKQ::J)]);
 #else
                     // swap A and B for CUDA.
                     mma(VKQ_C[i_VKQ_0/i0_stride], B[k00/(np*T_A_VKQ::J)], A);
-#endif // defined(AMD_WMMA_AVAILABLE)
+#endif // defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
                 }
             }
         }
@@ -866,7 +930,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                 mma(VKQ_C[i_VKQ_0/i0_stride], B[k00/(np*T_A_VKQ::I)], A);
             }
         }
-#endif // defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+#endif // defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
 
         if constexpr (nstages <= 1) {
             __syncthreads(); // Only needed if tile_K == tile_V.
@@ -879,7 +943,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
         tile_Q, tile_K, tile_V, tile_mask,
         Q_B, VKQ_C, KQ_max, KQ_rowsum, kb0);
     NO_DEVICE_CODE;
-#endif // defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4))
+#endif // defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE)
 }
 
 #if defined(TURING_MMA_AVAILABLE)
@@ -899,7 +963,7 @@ template<> struct mma_tile_sizes<8> {
     using T_B_VKQ = tile< 8,  8, half2>; // column-major
     using T_C_VKQ = tile<16,  4, half2>; // row-major
 };
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
 template<int ncols> struct mma_tile_sizes {
     using T_A_KQ  = tile<16,  8, half2>; // row-major
     using T_B_KQ  = tile<16,  8, half2>; // column-major
@@ -944,9 +1008,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         const int zt_gqa,
         const int kb0_start,
         const int kb0_stop) {
-#if defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4))
+#if defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE)
     //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
 
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
     constexpr int ncols = ncols1 * ncols2;
     using     T_A_KQ    = typename mma_tile_sizes<ncols>::T_A_KQ;
     using     T_B_KQ    = typename mma_tile_sizes<ncols>::T_B_KQ;
@@ -986,7 +1051,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
     T_B_KQ    Q_B[(Q_in_reg ? DKQ/(2*T_B_KQ::J) : 1)];
 #if defined(TURING_MMA_AVAILABLE)
     T_C_VKQ VKQ_C[cols_per_warp == 8 ? DV/T_C_VKQ::I : DV/(2*T_C_VKQ::J)];
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
     T_C_VKQ VKQ_C[                                     DV/(2*T_C_VKQ::J)];
 #else // Volta
     T_C_VKQ VKQ_C[                                     DV/(2*T_C_VKQ::J)];
@@ -1004,10 +1069,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
     // The loading is done with decreasing granularity for D for better memory bandwidth.
     const half2 scale_h2 = make_half2(scale, scale);
 #pragma unroll
-    for (int stride_k : {WARP_SIZE, WARP_SIZE/2, WARP_SIZE/4}) {
-        const int k0_start  = stride_k == WARP_SIZE ? 0 : DKQ/2 - (DKQ/2) % (2*stride_k);
+    for (int stride_k : {warp_size, warp_size/2, warp_size/4, warp_size/8}) {
+        const int k0_start  = stride_k == warp_size ? 0 : DKQ/2 - (DKQ/2) % (2*stride_k);
         const int k0_stop   =                             DKQ/2 - (DKQ/2) % (1*stride_k);
-        const int stride_jc = WARP_SIZE / stride_k;
+        const int stride_jc = warp_size / stride_k;
 
         if (k0_start == k0_stop) {
             continue;
@@ -1015,7 +1080,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
 
 #pragma unroll
         for (int jc0 = 0; jc0 < ncols; jc0 += nwarps*stride_jc) {
-            const int jc = jc0 + threadIdx.y*stride_jc + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k);
+            const int jc = jc0 + threadIdx.y*stride_jc + (stride_k == warp_size ? 0 : threadIdx.x / stride_k);
 
             if (jc0 + nwarps*stride_jc > ncols && jc >= ncols) {
                 break;
@@ -1027,7 +1092,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
             if ((ncols1 == 1 || jt*ncols1 + j < int(ne01.z)) && (ncols2 == 1 || zt_gqa*ncols2 + c < gqa_ratio)) {
 #pragma unroll
                 for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
-                    const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k);
+                    const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
                     const float2 tmp = Q_f2[(jt*ncols1 + j)*stride_Q1 + c*stride_Q2 + k];
                     tile_Q[jc*stride_tile_Q + k] = scale_h2 * make_half2(tmp.x, tmp.y);
@@ -1035,7 +1100,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
             } else {
 #pragma unroll
                 for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
-                    const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k);
+                    const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
                     tile_Q[jc*stride_tile_Q + k] = make_half2(0.0f, 0.0f);
                 }
@@ -1127,6 +1192,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         // The partial sums are spread across 8/4 threads.
         constexpr int offset_first = cols_per_warp == 8 ? 16 : 2;
         constexpr int offset_last  = cols_per_warp == 8 ?  4 : 1;
+#elif defined(AMD_MFMA_AVAILABLE)
+        // The partial sums are spread across 4 threads (wavefront64, 16 cols).
+        constexpr int offset_first = 32;
+        constexpr int offset_last  = 16;
 #elif defined(AMD_WMMA_AVAILABLE)
         // The partial sums are spread across 2 threads.
         constexpr int offset_first = 16;
@@ -1140,13 +1209,13 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         for (int col = 0; col < cols_per_thread; ++col) {
 #pragma unroll
             for (int offset = offset_first; offset >= offset_last; offset >>= 1) {
-                KQ_rowsum[col] += __shfl_xor_sync(0xFFFFFFFF, KQ_rowsum[col], offset, WARP_SIZE);
+                KQ_rowsum[col] += __shfl_xor_sync(0xFFFFFFFF, KQ_rowsum[col], offset, warp_size);
             }
         }
     }
 
     // If attention sinks are used, potentially re-scale if KQ_max is small.
-    // Also add the sink as a value to KQ_rowsum, this is done after synchonization of KQ_rowsum
+    // Also add the sink as a value to KQ_rowsum, this is done after synchronization of KQ_rowsum
     //     so it's being done unconditionally for every thread.
     if (!is_fixup && (np == 1 || threadIdx.y % np == 0) && sinks_f) {
         float KQ_max_scale[cols_per_thread];
@@ -1189,7 +1258,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
                 }
             }
         }
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
         const half2 KQ_max_scale_h2 = make_half2(KQ_max_scale[0], KQ_max_scale[0]);
 #pragma unroll
         for (int i = 0; i < (DV/2)/T_C_VKQ::J; ++i) {
@@ -1249,7 +1318,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         const int jc_cwm = threadIdx.y*cols_per_warp + T_C_VKQ::get_i(threadIdx.x % 4);
         const float2 KQ_cmr = make_float2(KQ_max[threadIdx.x % cols_per_thread], KQ_rowsum[threadIdx.x % cols_per_thread]);
         const bool thread_should_write = threadIdx.x % 4 < cols_per_thread;
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
         const int jc_cwm = threadIdx.y*cols_per_warp + T_C_VKQ::get_i(0);
         const float2 KQ_cmr = make_float2(KQ_max[0], KQ_rowsum[0]);
         const bool thread_should_write = threadIdx.x / 16 < cols_per_thread;
@@ -1283,14 +1352,14 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         // Warps with threadIdx.y % np != 0 must NOT return early.
         // All threads must return simultaneously to avoid race conditions with work on the next tile.
 
-        constexpr int nmeta = np*cols_per_warp >= WARP_SIZE ? np*cols_per_warp/WARP_SIZE : 1;
+        constexpr int nmeta = np*cols_per_warp >= warp_size ? np*cols_per_warp/warp_size : 1;
 
-        const int jc_meta = threadIdx.y*cols_per_warp + (np*cols_per_warp < WARP_SIZE ? threadIdx.x % (np*cols_per_warp) : threadIdx.x);
+        const int jc_meta = threadIdx.y*cols_per_warp + (np*cols_per_warp < warp_size ? threadIdx.x % (np*cols_per_warp) : threadIdx.x);
         float2 * const meta_ptr = ((float2 *) tile_Q) + jc_meta*(tile_stride/2) + nbatch_combine/2;
         float2 meta[nmeta];
 #pragma unroll
         for (int imeta = 0; imeta < nmeta; ++imeta) {
-            meta[imeta] = meta_ptr[imeta * WARP_SIZE * tile_stride/2];
+            meta[imeta] = meta_ptr[imeta * warp_size * tile_stride/2];
         }
 
         float KQ_cmn = meta[0].x; // KQ combine max new, max between all parallel warps.
@@ -1300,8 +1369,8 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         }
 #pragma unroll
         for (int offset = np*cols_per_warp/2; offset >= cols_per_warp; offset >>= 1) {
-            if (offset < WARP_SIZE) {
-                KQ_cmn = fmaxf(KQ_cmn, __shfl_xor_sync(0xFFFFFFFF, KQ_cmn, offset, WARP_SIZE));
+            if (offset < warp_size) {
+                KQ_cmn = fmaxf(KQ_cmn, __shfl_xor_sync(0xFFFFFFFF, KQ_cmn, offset, warp_size));
             }
         }
 
@@ -1318,8 +1387,8 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         }
 #pragma unroll
         for (int offset = np*cols_per_warp/2; offset >= cols_per_warp; offset >>= 1) {
-            if (offset < WARP_SIZE) {
-                KQ_crs += __shfl_xor_sync(0xFFFFFFFF, KQ_crs, offset, WARP_SIZE);
+            if (offset < warp_size) {
+                KQ_crs += __shfl_xor_sync(0xFFFFFFFF, KQ_crs, offset, warp_size);
             }
         }
 
@@ -1328,19 +1397,19 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         // Write back combined meta data:
 #pragma unroll
         for (int imeta = 0; imeta < nmeta; ++imeta) {
-            if (np*cols_per_warp >= WARP_SIZE || threadIdx.x < np*cols_per_warp) {
+            if (np*cols_per_warp >= warp_size || threadIdx.x < np*cols_per_warp) {
                 // Combined KQ max scale + rowsum.
-                meta_ptr[imeta * WARP_SIZE * tile_stride/2] = make_float2(KQ_cms[imeta], KQ_crs);
+                meta_ptr[imeta * warp_size * tile_stride/2] = make_float2(KQ_cms[imeta], KQ_crs);
             }
         }
 
         // Combined KQ max + rowsum.
-        static_assert(cols_per_warp <= WARP_SIZE);
-        if (needs_fixup && (cols_per_warp == WARP_SIZE || threadIdx.x < cols_per_warp)) {
+        static_assert(cols_per_warp <= warp_size);
+        if (needs_fixup && (cols_per_warp == warp_size || threadIdx.x < cols_per_warp)) {
             float2 * dstk_fixup_meta = dstk_fixup + blockIdx.x*ncols;
             dstk_fixup_meta[(threadIdx.y/np)*cols_per_warp + threadIdx.x] = make_float2(KQ_cmn, KQ_crs);
         }
-        if (is_fixup && (cols_per_warp == WARP_SIZE || threadIdx.x < cols_per_warp)) {
+        if (is_fixup && (cols_per_warp == warp_size || threadIdx.x < cols_per_warp)) {
             float2 * dstk_fixup_meta = dstk_fixup + (gridDim.x + blockIdx.x)*ncols;
             dstk_fixup_meta[(threadIdx.y/np)*cols_per_warp + threadIdx.x] = make_float2(KQ_cmn, KQ_crs);
         }
@@ -1388,10 +1457,10 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
             float2 * dstk_fixup_data = dstk_fixup + gridDim.x*(2*ncols) + blockIdx.x*(ncols*(DV/2));
 
 #pragma unroll
-            for (int stride_k : {WARP_SIZE, WARP_SIZE/2, WARP_SIZE/4}) {
-                const int k0_start  = stride_k == WARP_SIZE ? 0 : nbatch_combine - nbatch_combine % (2*stride_k);
+            for (int stride_k : {warp_size, warp_size/2, warp_size/4, warp_size/8}) {
+                const int k0_start  = stride_k == warp_size ? 0 : nbatch_combine - nbatch_combine % (2*stride_k);
                 const int k0_stop   =                             nbatch_combine - nbatch_combine % (1*stride_k);
-                const int stride_jc = WARP_SIZE / stride_k;
+                const int stride_jc = warp_size / stride_k;
 
                 if (k0_start == k0_stop) {
                     continue;
@@ -1399,7 +1468,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
 
 #pragma unroll
                 for (int jc0_dst = 0; jc0_dst < ncols; jc0_dst += (nwarps/np)*stride_jc) {
-                    const int jc_dst = jc0_dst + (threadIdx.y/np)*stride_jc + (stride_k == WARP_SIZE ? 0 : threadIdx.x / stride_k);
+                    const int jc_dst = jc0_dst + (threadIdx.y/np)*stride_jc + (stride_k == warp_size ? 0 : threadIdx.x / stride_k);
 
                     if (jc0_dst + (nwarps/np)*stride_jc > ncols && jc_dst >= ncols) {
                         break;
@@ -1417,7 +1486,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
                     const float * meta_j = (const float *) tile_Q + jc_tile_K*tile_stride + nbatch_combine;
 #pragma unroll
                     for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
-                        const int k = k0 + (stride_k == WARP_SIZE ? threadIdx.x : threadIdx.x % stride_k);
+                        const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
                         float2 dstk_val = make_float2(0.0f, 0.0f);
 #pragma unroll
@@ -1453,7 +1522,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         stride_Q1, stride_Q2, stride_K, stride_V, stride_mask,
         jt, kb0_start, kb0_stop);
     NO_DEVICE_CODE;
-#endif // defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4))
+#endif // defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE)
 }
 
 template<int DKQ, int DV, int ncols1, int ncols2, bool use_logit_softcap, bool V_is_K_view>
@@ -1480,7 +1549,7 @@ static __global__ void flash_attn_ext_f16(
                             const int32_t nb21, const int32_t nb22, const int64_t nb23,
                             const int32_t ne31, const int32_t ne32, const int32_t ne33,
                             const int32_t nb31, const int32_t nb32, const int64_t nb33) {
-#if defined(FLASH_ATTN_AVAILABLE) && (defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)))
+#if defined(FLASH_ATTN_AVAILABLE) && (defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE))
 
     // Skip unused kernel variants for faster compilation:
     if (use_logit_softcap && !(DKQ == 128 || DKQ == 256)) {
@@ -1508,10 +1577,18 @@ static __global__ void flash_attn_ext_f16(
     }
 #endif // defined(AMD_WMMA_AVAILABLE)
 
+#if defined(AMD_MFMA_AVAILABLE)
+    if (DKQ != 64 && DKQ != 80 && DKQ != 96 && DKQ != 112 && DKQ != 128) {
+        NO_DEVICE_CODE;
+        return;
+    }
+#endif // defined(AMD_MFMA_AVAILABLE)
+
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
     constexpr int ncols     = ncols1 * ncols2;
     constexpr int nbatch_fa = ggml_cuda_fattn_mma_get_nbatch_fa(DKQ, DV, ncols);
     constexpr int nthreads  = ggml_cuda_fattn_mma_get_nthreads(DKQ, DV, ncols);
-    constexpr int nwarps    = nthreads / WARP_SIZE;
+    constexpr int nwarps    = nthreads / warp_size;
 
     const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
 
@@ -1624,7 +1701,7 @@ static __global__ void flash_attn_ext_f16(
               ne31, ne32, ne33,
               nb31, nb32, nb33);
     NO_DEVICE_CODE;
-#endif // defined(FLASH_ATTN_AVAILABLE) && (defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)))
+#endif // defined(FLASH_ATTN_AVAILABLE) && (defined(VOLTA_MMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || (defined(AMD_WMMA_AVAILABLE) && defined(RDNA4)) || defined(AMD_MFMA_AVAILABLE))
 }
 
 template <int DKQ, int DV, int ncols1, int ncols2>
@@ -1644,7 +1721,8 @@ void ggml_cuda_flash_attn_ext_mma_f16_case(ggml_backend_cuda_context & ctx, ggml
     const int  nstages        = ggml_cuda_fattn_mma_get_nstages       (DKQ, DV, ncols1, ncols2, cc);
 
     const int cols_per_warp = std::min(ncols, get_cols_per_warp(cc));
-    const int nwarps        = nthreads / WARP_SIZE;
+    const int warp_size_host = ggml_cuda_info().devices[ctx.device].warp_size;
+    const int nwarps         = nthreads / warp_size_host;
 
     constexpr bool V_is_K_view = DKQ == 576; // Guaranteed by the kernel selection logic in fattn.cu
 
@@ -1694,7 +1772,7 @@ void ggml_cuda_flash_attn_ext_mma_f16_case(ggml_backend_cuda_context & ctx, ggml
     }
 
     launch_fattn<DV, ncols1, ncols2>
-        (ctx, dst, fattn_kernel, nwarps, nbytes_shared_total, nbatch_fa, true, true, true);
+        (ctx, dst, fattn_kernel, nwarps, nbytes_shared_total, nbatch_fa, true, true, true, warp_size_host);
 }
 
 
diff --git a/ggml/src/ggml-cuda/fattn-tile.cuh b/ggml/src/ggml-cuda/fattn-tile.cuh
index b6db5822818..f3fa80ab23d 100644
--- a/ggml/src/ggml-cuda/fattn-tile.cuh
+++ b/ggml/src/ggml-cuda/fattn-tile.cuh
@@ -1186,8 +1186,10 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm
     GGML_ASSERT(Q->ne[2] % K->ne[2] == 0);
     const int gqa_ratio = Q->ne[2] / K->ne[2];
 
+    // On NVIDIA (Pascal and older) the GQA optimizations seem to be detrimental in some cases.
+    // However, for DKQ == 576, DV == 512 only the kernel variant with GQA optimizations is implemented.
     const bool nvidia = GGML_CUDA_CC_IS_NVIDIA(ggml_cuda_info().devices[ggml_cuda_get_device()].cc);
-    const int gqa_limit = nvidia && gqa_ratio <= 4 ? 16 : INT_MAX;
+    const int gqa_limit = nvidia && gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX;
     const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0;
 
     if constexpr (DV == 512) {
diff --git a/ggml/src/ggml-cuda/fattn-vec.cuh b/ggml/src/ggml-cuda/fattn-vec.cuh
index 3f4a78cc6e5..7cbe32633e5 100644
--- a/ggml/src/ggml-cuda/fattn-vec.cuh
+++ b/ggml/src/ggml-cuda/fattn-vec.cuh
@@ -10,7 +10,7 @@ static constexpr __device__ int ggml_cuda_fattn_vec_get_nthreads_device() {
     return 128;
 }
 
-// Currenlty llvm with the amdgcn target does not support unrolling loops
+// Currently llvm with the amdgcn target does not support unrolling loops
 // that contain a break that can not be resolved at compile time.
 #ifdef __clang__
 #pragma clang diagnostic push
diff --git a/ggml/src/ggml-cuda/fattn-wmma-f16.cu b/ggml/src/ggml-cuda/fattn-wmma-f16.cu
index 8694fd06c7b..f19defbff93 100644
--- a/ggml/src/ggml-cuda/fattn-wmma-f16.cu
+++ b/ggml/src/ggml-cuda/fattn-wmma-f16.cu
@@ -63,11 +63,19 @@ static __global__ void flash_attn_ext_f16(
     constexpr int frag_m = ncols == 8 ? 32 : 16;
     constexpr int frag_n = ncols == 8 ?  8 : 16;
     static_assert(D % frag_m == 0, "If ncols == 8 then D % frag_m must be 0.");
+#if defined(GGML_USE_HIP) && HIP_VERSION >= 60500000
+    typedef wmma::fragment<wmma::matrix_a,    frag_m, frag_n, 16, _Float16, wmma::row_major> frag_a_K;
+    typedef wmma::fragment<wmma::matrix_a,    frag_m, frag_n, 16, _Float16, wmma::col_major> frag_a_V;
+    typedef wmma::fragment<wmma::matrix_b,    frag_m, frag_n, 16, _Float16, wmma::col_major> frag_b;
+    typedef wmma::fragment<wmma::accumulator, frag_m, frag_n, 16, KQ_acc_t>                      frag_c_KQ;
+    typedef wmma::fragment<wmma::accumulator, frag_m, frag_n, 16, _Float16>                          frag_c_VKQ;
+#else
     typedef wmma::fragment<wmma::matrix_a,    frag_m, frag_n, 16, half, wmma::row_major> frag_a_K;
     typedef wmma::fragment<wmma::matrix_a,    frag_m, frag_n, 16, half, wmma::col_major> frag_a_V;
     typedef wmma::fragment<wmma::matrix_b,    frag_m, frag_n, 16, half, wmma::col_major> frag_b;
     typedef wmma::fragment<wmma::accumulator, frag_m, frag_n, 16, KQ_acc_t>                      frag_c_KQ;
     typedef wmma::fragment<wmma::accumulator, frag_m, frag_n, 16, half>                          frag_c_VKQ;
+#endif
 
     constexpr int KQ_stride_tc  = nwarps*frag_m; // Number of KQ rows calculated in parallel.
     constexpr int VKQ_ratio = KQ_stride_tc/VKQ_stride; // Number of parallel VKQ accumulators needed to keep all warps busy.
@@ -126,6 +134,19 @@ static __global__ void flash_attn_ext_f16(
 
     __shared__ half VKQ[ncols*D_padded]; // Accumulator for final VKQ slice.
     half2 * VKQ2 = (half2 *) VKQ;
+
+#if defined(GGML_USE_HIP) && HIP_VERSION >= 60500000
+    const _Float16 * K_h_f16  = reinterpret_cast<const _Float16 *>(K_h);
+    const _Float16 * V_h_f16  = reinterpret_cast<const _Float16 *>(V_h);
+    _Float16       * KQ_f16   = reinterpret_cast<_Float16 *>(KQ);
+    _Float16       * VKQ_f16  = reinterpret_cast<_Float16 *>(VKQ);
+#else
+    const half * K_h_f16  = K_h;
+    const half * V_h_f16  = V_h;
+    half       * KQ_f16   = KQ;
+    half       * VKQ_f16  = VKQ;
+#endif
+
 #pragma unroll
     for (int j0 = 0; j0 < ncols; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -160,7 +181,7 @@ static __global__ void flash_attn_ext_f16(
     for (int i0 = 0; i0 < D; i0 += 16) {
 #pragma unroll
         for (int j0 = 0; j0 < ncols; j0 += frag_n) {
-            wmma::load_matrix_sync(Q_b[i0/16][j0/frag_n], KQ + j0*D_padded + i0, D_padded);
+            wmma::load_matrix_sync(Q_b[i0/16][j0/frag_n], KQ_f16 + j0*D_padded + i0, D_padded);
         }
     }
 
@@ -180,7 +201,7 @@ static __global__ void flash_attn_ext_f16(
 #pragma unroll
             for (int k_KQ_0 = 0; k_KQ_0 < D; k_KQ_0 += 16) {
                 frag_a_K K_a;
-                wmma::load_matrix_sync(K_a, K_h + int64_t(k_VKQ_0 + i_KQ_0 + frag_m*threadIdx.y)*stride_KV + k_KQ_0, stride_KV);
+                wmma::load_matrix_sync(K_a, K_h_f16 + int64_t(k_VKQ_0 + i_KQ_0 + frag_m*threadIdx.y)*stride_KV + k_KQ_0, stride_KV);
 #pragma unroll
                 for (int j = 0; j < ncols/frag_n; ++j) {
                     wmma::mma_sync(KQ_c[j], K_a, Q_b[k_KQ_0/16][j], KQ_c[j]);
@@ -310,7 +331,7 @@ static __global__ void flash_attn_ext_f16(
                 const int k = k0 + (threadIdx.y % VKQ_ratio)*16;
                 wmma::load_matrix_sync(
                     KQ_b[k0/(VKQ_ratio*16)][j0/frag_n],
-                    KQ + j0*(kqar*kqs_padded) + k,
+                    KQ_f16 + j0*(kqar*kqs_padded) + k,
                     kqar*kqs_padded);
             }
         }
@@ -328,7 +349,7 @@ static __global__ void flash_attn_ext_f16(
                 const int k = k0 + (threadIdx.y % VKQ_ratio)*16;
 
                 frag_a_V v_a;
-                wmma::load_matrix_sync(v_a, V_h + int64_t(k_VKQ_0 + k)*stride_KV + i_VKQ_0 + frag_m*(threadIdx.y/VKQ_ratio), stride_KV);
+                wmma::load_matrix_sync(v_a, V_h_f16 + int64_t(k_VKQ_0 + k)*stride_KV + i_VKQ_0 + frag_m*(threadIdx.y/VKQ_ratio), stride_KV);
 #pragma unroll
                 for (int j = 0; j < ncols/frag_n; ++j) {
                     wmma::mma_sync(VKQ_c[i_VKQ_0/VKQ_stride][j], v_a, KQ_b[k0/(VKQ_ratio*16)][j], VKQ_c[i_VKQ_0/VKQ_stride][j]);
@@ -344,7 +365,7 @@ static __global__ void flash_attn_ext_f16(
 #pragma unroll
             for (int j0 = 0; j0 < ncols; j0 += frag_n) {
                 wmma::store_matrix_sync(
-                    KQ + offset_k + j0*D_padded + i_KQ_0 + frag_m*(threadIdx.y/VKQ_ratio),
+                    KQ_f16 + offset_k + j0*D_padded + i_KQ_0 + frag_m*(threadIdx.y/VKQ_ratio),
                     VKQ_c[i_KQ_0/VKQ_stride][j0/frag_n],
                     D_padded, wmma::mem_col_major);
             }
diff --git a/ggml/src/ggml-cuda/fattn-wmma-f16.cuh b/ggml/src/ggml-cuda/fattn-wmma-f16.cuh
index cd3bfd4051a..aaf711a618c 100644
--- a/ggml/src/ggml-cuda/fattn-wmma-f16.cuh
+++ b/ggml/src/ggml-cuda/fattn-wmma-f16.cuh
@@ -18,7 +18,7 @@
 #if defined(RDNA4) && ROCWMMA_VERSION_MAJOR > 1
 #define GGML_USE_WMMA_FATTN
 #elif defined(RDNA4)
-#warning "rocwmma fattn is not suported on RDNA4 on rocwmma < v2.0.0, expect degraded performance"
+#warning "rocwmma fattn is not supported on RDNA4 on rocwmma < v2.0.0, expect degraded performance"
 #endif // defined(RDNA4) && ROCWMMA_VERSION_MAJOR > 1
 #endif // defined(GGML_HIP_ROCWMMA_FATTN)
 
diff --git a/ggml/src/ggml-cuda/fattn.cu b/ggml/src/ggml-cuda/fattn.cu
index 721edd99944..85c177f496f 100644
--- a/ggml/src/ggml-cuda/fattn.cu
+++ b/ggml/src/ggml-cuda/fattn.cu
@@ -440,6 +440,18 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
         return BEST_FATTN_KERNEL_MMA_F16;
     }
 
+    // Use MFMA flash attention for CDNA (MI100+):
+    if (amd_mfma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 256 && Q->ne[0] != 576) {
+        const int64_t eff_nq = Q->ne[1] * (gqa_opt_applies ? gqa_ratio : 1);
+        // MMA vs tile crossover benchmarked on MI300X @ d32768:
+        //   hsk=64  (gqa=4): MMA wins at eff >= 128 (+11%)
+        //   hsk=128 (gqa=4): MMA wins at eff >= 128 (+4%)
+        if (eff_nq >= (GGML_CUDA_CC_IS_CDNA1(cc) && Q->ne[0] == 64 ? 64 : 128)) {
+            return BEST_FATTN_KERNEL_MMA_F16;
+        }
+        // Fall through to tile kernel for small effective batch sizes.
+    }
+
     // If there are no tensor cores available, use the generic tile kernel:
     if (can_use_vector_kernel) {
         if (!ggml_is_quantized(K->type) && !ggml_is_quantized(V->type)) {
diff --git a/ggml/src/ggml-cuda/gated_delta_net.cu b/ggml/src/ggml-cuda/gated_delta_net.cu
new file mode 100644
index 00000000000..1ce6d5f31b5
--- /dev/null
+++ b/ggml/src/ggml-cuda/gated_delta_net.cu
@@ -0,0 +1,263 @@
+#include "gated_delta_net.cuh"
+
+template <int S_v, bool KDA>
+__global__ void gated_delta_net_cuda(const float * q,
+                                     const float * k,
+                                     const float * v,
+                                     const float * g,
+                                     const float * beta,
+                                     const float * curr_state,
+                                     float *       dst,
+                                     int64_t       H,
+                                     int64_t       n_tokens,
+                                     int64_t       n_seqs,
+                                     int64_t       sq1,
+                                     int64_t       sq2,
+                                     int64_t       sq3,
+                                     int64_t       sv1,
+                                     int64_t       sv2,
+                                     int64_t       sv3,
+                                     int64_t       sb1,
+                                     int64_t       sb2,
+                                     int64_t       sb3,
+                                     const uint3   neqk1_magic,
+                                     const uint3   rq3_magic,
+                                     float         scale) {
+    const uint32_t h_idx    = blockIdx.x;
+    const uint32_t sequence = blockIdx.y;
+    // each warp owns one column, using warp-level primitives to reduce across rows
+    const int      lane     = threadIdx.x;
+    const int      col      = blockIdx.z * blockDim.y + threadIdx.y;
+
+    const uint32_t iq1 = fastmodulo(h_idx, neqk1_magic);
+    const uint32_t iq3 = fastdiv(sequence, rq3_magic);
+
+    const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs;
+    float *       attn_data        = dst;
+    float *       state            = dst + attn_score_elems;
+
+    const int64_t state_offset = (sequence * H + h_idx) * S_v * S_v;
+    state += state_offset;
+    curr_state += state_offset;
+    attn_data += (sequence * n_tokens * H + h_idx) * S_v;
+
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size() < S_v ? ggml_cuda_get_physical_warp_size() : S_v;
+    static_assert(S_v % warp_size == 0, "S_v must be a multiple of warp_size");
+    constexpr int rows_per_lane = (S_v + warp_size - 1) / warp_size;
+    float         s_shard[rows_per_lane];
+    // state is stored transposed: M[col][i] = S[i][col], row col is contiguous
+#pragma unroll
+    for (int r = 0; r < rows_per_lane; r++) {
+        const int i = r * warp_size + lane;
+        s_shard[r]  = curr_state[col * S_v + i];
+    }
+
+    for (int t = 0; t < n_tokens; t++) {
+        const float * q_t = q + iq3 * sq3 + t * sq2 + iq1 * sq1;
+        const float * k_t = k + iq3 * sq3 + t * sq2 + iq1 * sq1;
+        const float * v_t = v + sequence * sv3 + t * sv2 + h_idx * sv1;
+
+        const int64_t gb_offset = sequence * sb3 + t * sb2 + h_idx * sb1;
+        const float * beta_t = beta + gb_offset;
+        const float * g_t    = g    + gb_offset * (KDA ? S_v : 1);
+
+        const float beta_val = *beta_t;
+
+        if constexpr (!KDA) {
+            const float g_val = expf(*g_t);
+
+            // kv[col] = (S^T @ k)[col] = sum_i S[i][col] * k[i]
+            float kv_shard = 0.0f;
+#pragma unroll
+            for (int r = 0; r < rows_per_lane; r++) {
+                const int i = r * warp_size + lane;
+                kv_shard += s_shard[r] * k_t[i];
+            }
+            float kv_col = warp_reduce_sum<warp_size>(kv_shard);
+
+            // delta[col] = (v[col] - g * kv[col]) * beta
+            float delta_col = (v_t[col] - g_val * kv_col) * beta_val;
+
+            // fused: S[i][col] = g * S[i][col] + k[i] * delta[col]
+            // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i]
+            float attn_partial = 0.0f;
+#pragma unroll
+            for (int r = 0; r < rows_per_lane; r++) {
+                const int i = r * warp_size + lane;
+                s_shard[r]  = g_val * s_shard[r] + k_t[i] * delta_col;
+                attn_partial += s_shard[r] * q_t[i];
+            }
+
+            float attn_col = warp_reduce_sum<warp_size>(attn_partial);
+
+            if (lane == 0) {
+                attn_data[col] = attn_col * scale;
+            }
+        } else {
+            // kv[col] = sum_i g[i] * S[i][col] * k[i]
+            float kv_shard = 0.0f;
+#pragma unroll
+            for (int r = 0; r < rows_per_lane; r++) {
+                const int i = r * warp_size + lane;
+                kv_shard += expf(g_t[i]) * s_shard[r] * k_t[i];
+            }
+
+            float kv_col = warp_reduce_sum<warp_size>(kv_shard);
+
+            // delta[col] = (v[col] - kv[col]) * beta
+            float delta_col = (v_t[col] - kv_col) * beta_val;
+
+            // fused: S[i][col] = g[i] * S[i][col] + k[i] * delta[col]
+            // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i]
+            float attn_partial = 0.0f;
+#pragma unroll
+            for (int r = 0; r < rows_per_lane; r++) {
+                const int i = r * warp_size + lane;
+                s_shard[r]  = expf(g_t[i]) * s_shard[r] + k_t[i] * delta_col;
+                attn_partial += s_shard[r] * q_t[i];
+            }
+
+            float attn_col = warp_reduce_sum<warp_size>(attn_partial);
+
+            if (lane == 0) {
+                attn_data[col] = attn_col * scale;
+            }
+        }
+
+        attn_data += S_v * H;
+    }
+
+    // Write state back to global memory (transposed layout)
+#pragma unroll
+    for (int r = 0; r < rows_per_lane; r++) {
+        const int i          = r * warp_size + lane;
+        state[col * S_v + i] = s_shard[r];
+    }
+}
+
+template <bool KDA>
+static void launch_gated_delta_net(
+        const float * q_d, const float * k_d, const float * v_d,
+        const float * g_d, const float * b_d, const float * s_d,
+        float * dst_d,
+        int64_t S_v,   int64_t H, int64_t n_tokens, int64_t n_seqs,
+        int64_t sq1,   int64_t sq2, int64_t sq3,
+        int64_t sv1,   int64_t sv2, int64_t sv3,
+        int64_t sb1,   int64_t sb2, int64_t sb3,
+        int64_t neqk1, int64_t rq3,
+        float scale, cudaStream_t stream) {
+    //TODO: Add chunked kernel for even faster pre-fill
+    const int warp_size = ggml_cuda_info().devices[ggml_cuda_get_device()].warp_size;
+    const int num_warps = 4;
+    dim3      grid_dims(H, n_seqs, (S_v + num_warps - 1) / num_warps);
+    dim3      block_dims(warp_size <= S_v ? warp_size : S_v, num_warps, 1);
+
+    const uint3 neqk1_magic = init_fastdiv_values(neqk1);
+    const uint3 rq3_magic   = init_fastdiv_values(rq3);
+
+    int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc;
+
+    switch (S_v) {
+        case 16:
+            gated_delta_net_cuda<16, KDA><<<grid_dims, block_dims, 0, stream>>>(
+                q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H,
+                n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3,
+                sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
+            break;
+        case 32:
+            gated_delta_net_cuda<32, KDA><<<grid_dims, block_dims, 0, stream>>>(
+                q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H,
+                n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3,
+                sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
+            break;
+        case 64: {
+            gated_delta_net_cuda<64, KDA><<<grid_dims, block_dims, 0, stream>>>(
+                q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H,
+                n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3,
+                sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
+            break;
+        }
+        case 128: {
+            gated_delta_net_cuda<128, KDA><<<grid_dims, block_dims, 0, stream>>>(
+                q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H,
+                n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3,
+                sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
+            break;
+        }
+        default:
+            GGML_ABORT("fatal error");
+            break;
+    }
+}
+
+void ggml_cuda_op_gated_delta_net(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src_q     = dst->src[0];
+    ggml_tensor * src_k     = dst->src[1];
+    ggml_tensor * src_v     = dst->src[2];
+    ggml_tensor * src_g     = dst->src[3];
+    ggml_tensor * src_beta  = dst->src[4];
+    ggml_tensor * src_state = dst->src[5];
+
+    GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne);
+    GGML_TENSOR_LOCALS(size_t , nbq, src_q, nb);
+    GGML_TENSOR_LOCALS(int64_t, nek, src_k, ne);
+    GGML_TENSOR_LOCALS(size_t , nbk, src_k, nb);
+    GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne);
+    GGML_TENSOR_LOCALS(size_t,  nbv, src_v, nb);
+    GGML_TENSOR_LOCALS(size_t,  nbb, src_beta, nb);
+
+    const int64_t S_v      = nev0;
+    const int64_t H        = nev1;
+    const int64_t n_tokens = nev2;
+    const int64_t n_seqs   = nev3;
+
+    const bool kda = (src_g->ne[0] == S_v);
+
+    GGML_ASSERT(neq1 == nek1);
+    const int64_t neqk1 = neq1;
+
+    const int64_t rq3 = nev3 / neq3;
+
+    const float * q_d = (const float *) src_q->data;
+    const float * k_d = (const float *) src_k->data;
+    const float * v_d = (const float *) src_v->data;
+    const float * g_d = (const float *) src_g->data;
+    const float * b_d = (const float *) src_beta->data;
+
+    const float * s_d   = (const float *) src_state->data;
+    float *       dst_d = (float *) dst->data;
+
+    GGML_ASSERT(ggml_is_contiguous_rows(src_q));
+    GGML_ASSERT(ggml_is_contiguous_rows(src_k));
+    GGML_ASSERT(ggml_is_contiguous_rows(src_v));
+    GGML_ASSERT(ggml_are_same_stride(src_q, src_k));
+    GGML_ASSERT(src_g->ne[0] == 1 || kda);
+    GGML_ASSERT(ggml_is_contiguous(src_g));
+    GGML_ASSERT(ggml_is_contiguous(src_beta));
+    GGML_ASSERT(ggml_is_contiguous(src_state));
+
+    // strides in floats (beta strides used for both g and beta offset computation)
+    const int64_t sq1 = nbq1 / sizeof(float);
+    const int64_t sq2 = nbq2 / sizeof(float);
+    const int64_t sq3 = nbq3 / sizeof(float);
+    const int64_t sv1 = nbv1 / sizeof(float);
+    const int64_t sv2 = nbv2 / sizeof(float);
+    const int64_t sv3 = nbv3 / sizeof(float);
+    const int64_t sb1 = nbb1 / sizeof(float);
+    const int64_t sb2 = nbb2 / sizeof(float);
+    const int64_t sb3 = nbb3 / sizeof(float);
+
+    const float scale = 1.0f / sqrtf((float) S_v);
+
+    cudaStream_t stream = ctx.stream();
+
+    if (kda) {
+        launch_gated_delta_net<true>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d,
+            S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3,
+            sb1, sb2, sb3, neqk1, rq3, scale, stream);
+    } else {
+        launch_gated_delta_net<false>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d,
+            S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3,
+            sb1, sb2, sb3, neqk1, rq3, scale, stream);
+    }
+}
diff --git a/ggml/src/ggml-cuda/gated_delta_net.cuh b/ggml/src/ggml-cuda/gated_delta_net.cuh
new file mode 100644
index 00000000000..7375e81c0c3
--- /dev/null
+++ b/ggml/src/ggml-cuda/gated_delta_net.cuh
@@ -0,0 +1,4 @@
+#include "common.cuh"
+#include "ggml.h"
+
+void ggml_cuda_op_gated_delta_net(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
index b163468789f..aa6e63d749a 100644
--- a/ggml/src/ggml-cuda/ggml-cuda.cu
+++ b/ggml/src/ggml-cuda/ggml-cuda.cu
@@ -53,6 +53,7 @@
 #include "ggml-cuda/upscale.cuh"
 #include "ggml-cuda/wkv.cuh"
 #include "ggml-cuda/gla.cuh"
+#include "ggml-cuda/gated_delta_net.cuh"
 #include "ggml-cuda/set.cuh"
 #include "ggml-cuda/set-rows.cuh"
 #include "ggml-cuda/pad_reflect_1d.cuh"
@@ -118,12 +119,21 @@ int ggml_cuda_get_device() {
 
 static cudaError_t ggml_cuda_device_malloc(void ** ptr, size_t size, int device) {
     ggml_cuda_set_device(device);
+    {
+        size_t mem_free = 0, mem_total = 0;
+        cudaMemGetInfo(&mem_free, &mem_total);
+        GGML_LOG_DEBUG("%s: before alloc %.2f MiB, free %.2f MiB / total %.2f MiB\n",
+            __func__, size/1024.0/1024.0, mem_free/1024.0/1024.0, mem_total/1024.0/1024.0);
+    }
     cudaError_t err;
     if (getenv("GGML_CUDA_ENABLE_UNIFIED_MEMORY") != nullptr) {
         err = cudaMallocManaged(ptr, size);
 #if defined(GGML_USE_HIP)
         if (err == hipSuccess) {
-            CUDA_CHECK(cudaMemAdvise(*ptr, size, hipMemAdviseSetCoarseGrain, device));
+            // hipMemAdviseSetCoarseGrain is an optional performance hint;
+            // ignore errors (e.g. hipErrorInvalidValue on some APU/iGPU configs).
+            cudaMemAdvise(*ptr, size, hipMemAdviseSetCoarseGrain, device);
+            (void)hipGetLastError(); // clear any error
         }
 
         // fall back to cudaMalloc if not supported (e.g. on Windows)
@@ -204,7 +214,14 @@ static ggml_cuda_device_info ggml_cuda_init() {
     GGML_ASSERT(info.device_count <= GGML_CUDA_MAX_DEVICES);
 
     int64_t total_vram = 0;
-    GGML_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices:\n", __func__, info.device_count);
+    for (int id = 0; id < info.device_count; ++id) {
+        cudaDeviceProp prop;
+        CUDA_CHECK(cudaGetDeviceProperties(&prop, id));
+        total_vram += prop.totalGlobalMem;
+    }
+    GGML_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices (Total VRAM: %zu MiB):\n",
+                  __func__, info.device_count, (size_t)(total_vram / (1024 * 1024)));
+    total_vram = 0;
 
     std::vector<std::pair<int, std::string>> turing_devices_without_mma;
     for (int id = 0; id < info.device_count; ++id) {
@@ -230,6 +247,7 @@ static ggml_cuda_device_info ggml_cuda_init() {
 
         info.default_tensor_split[id] = total_vram;
         total_vram += prop.totalGlobalMem;
+        info.devices[id].total_vram = prop.totalGlobalMem;
         info.devices[id].integrated = false; // Temporarily disabled due to issues with corrupted output (e.g. #15034)
         info.devices[id].nsm        = prop.multiProcessorCount;
         info.devices[id].smpb       = prop.sharedMemPerBlock;
@@ -242,6 +260,12 @@ static ggml_cuda_device_info ggml_cuda_init() {
 #else
         info.devices[id].supports_cooperative_launch = false;
 #endif // !(GGML_USE_MUSA)
+
+        // cudaMemGetInfo returns info for the current device
+        size_t free_mem;
+        CUDA_CHECK(cudaSetDevice(id));
+        CUDA_CHECK(cudaMemGetInfo(&free_mem, NULL));
+
 #if defined(GGML_USE_HIP)
         info.devices[id].smpbo = prop.sharedMemPerBlock;
 
@@ -256,22 +280,25 @@ static ggml_cuda_device_info ggml_cuda_init() {
                 info.devices[id].cc += prop.minor * 0x10;
             }
         }
-        GGML_LOG_INFO("  Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d\n",
+        GGML_LOG_INFO("  Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d, VRAM: %zu MiB (%zu MiB free)\n",
                       id, prop.name, prop.gcnArchName, info.devices[id].cc & 0xffff,
-                      device_vmm ? "yes" : "no", prop.warpSize);
+                      device_vmm ? "yes" : "no", prop.warpSize,
+                      (size_t)(prop.totalGlobalMem / (1024 * 1024)), free_mem / (1024 * 1024));
 #elif defined(GGML_USE_MUSA)
         // FIXME: Ensure compatibility with varying warp sizes across different MUSA archs.
         info.devices[id].warp_size = 32;
         info.devices[id].smpbo = prop.sharedMemPerBlockOptin;
         info.devices[id].cc = GGML_CUDA_CC_OFFSET_MTHREADS + prop.major * 0x100;
         info.devices[id].cc += prop.minor * 0x10;
-        GGML_LOG_INFO("  Device %d: %s, compute capability %d.%d, VMM: %s\n",
-                        id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no");
+        GGML_LOG_INFO("  Device %d: %s, compute capability %d.%d, VMM: %s, VRAM: %zu MiB (%zu MiB free)\n",
+                      id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no",
+                      (size_t)(prop.totalGlobalMem / (1024 * 1024)), free_mem / (1024 * 1024));
 #else
         info.devices[id].smpbo = prop.sharedMemPerBlockOptin;
         info.devices[id].cc = 100*prop.major + 10*prop.minor;
-        GGML_LOG_INFO("  Device %d: %s, compute capability %d.%d, VMM: %s\n",
-                        id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no");
+        GGML_LOG_INFO("  Device %d: %s, compute capability %d.%d, VMM: %s, VRAM: %zu MiB (%zu MiB free)\n",
+                      id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no",
+                      (size_t)(prop.totalGlobalMem / (1024 * 1024)), free_mem / (1024 * 1024));
         std::string device_name(prop.name);
         if (device_name == "NVIDIA GeForce MX450") {
             turing_devices_without_mma.push_back({ id, device_name });
@@ -2278,11 +2305,12 @@ static void ggml_cuda_mul_mat_id(ggml_backend_cuda_context & ctx, ggml_tensor *
 
     const int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc;
 
+    // [TAG_MUL_MAT_ID_CUDA_GRAPHS]
     if (src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
         static_assert(MMVQ_MAX_BATCH_SIZE == MMVF_MAX_BATCH_SIZE);
         if (ne2 <= MMVQ_MAX_BATCH_SIZE) {
             if (ggml_is_quantized(src0->type)) {
-                if (ne2 <= 4) {
+                if (ne2 <= MMVQ_MMID_MAX_BATCH_SIZE) {
                     ggml_cuda_mul_mat_vec_q(ctx, src0, src1, ids, dst);
                     return;
                 }
@@ -2305,6 +2333,8 @@ static void ggml_cuda_mul_mat_id(ggml_backend_cuda_context & ctx, ggml_tensor *
         }
     }
 
+    // note: this path should not be reached when recording CUDA graphs, because it requires stream synchronization
+    // TODO: add asserts to verify this. should work with CUDA, HIP, etc.
     cudaStream_t stream = ctx.stream();
 
     GGML_ASSERT(nb12 % nb11 == 0);
@@ -2730,6 +2760,9 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg
         case GGML_OP_GATED_LINEAR_ATTN:
             ggml_cuda_op_gated_linear_attn(ctx, dst);
             break;
+        case GGML_OP_GATED_DELTA_NET:
+            ggml_cuda_op_gated_delta_net(ctx, dst);
+            break;
         case GGML_OP_RWKV_WKV7:
             ggml_cuda_op_rwkv_wkv7(ctx, dst);
             break;
@@ -2865,14 +2898,6 @@ static bool ggml_cuda_graph_check_compability(ggml_cgraph * cgraph) {
     bool use_cuda_graph = true;
     // Loop over nodes in GGML graph to obtain info needed for CUDA graph
 
-    const std::string gemma3n_per_layer_proj_src0_name = "inp_per_layer_selected";
-    const std::string gemma3n_per_layer_proj_src1_name = "per_layer_proj";
-    const std::string ffn_moe_gate_bias_prefix = "ffn_moe_gate_biased";
-    const std::string ffn_moe_up_bias_prefix = "ffn_moe_up_biased";
-    const std::string ffn_moe_down_bias_prefix = "ffn_moe_down_biased";
-    const std::string nemotron_h_block_out_prefix = "nemotron_h_block_out";
-    const std::string mamba2_y_add_d_prefix = "mamba2_y_add_d";
-
     for (int i = 0; i < cgraph->n_nodes; i++) {
         ggml_tensor * node = cgraph->nodes[i];
 
@@ -2887,30 +2912,14 @@ static bool ggml_cuda_graph_check_compability(ggml_cgraph * cgraph) {
 #endif
         }
 
-        if (node->op == GGML_OP_MUL_MAT_ID && node->ne[2] != 1) {
-            use_cuda_graph = false; // This node type is not supported by CUDA graph capture
-#ifndef NDEBUG
-            GGML_LOG_DEBUG("%s: disabling CUDA graphs due to unsupported node type\n", __func__);
-#endif
-        }
-
-        if (node->op == GGML_OP_ADD &&
-            node->src[1] && node->src[1]->ne[1] > 1 &&
-            (node->src[0] ? node->src[0]->name != gemma3n_per_layer_proj_src0_name : true) &&
-            (node->src[1] ? node->src[1]->name != gemma3n_per_layer_proj_src1_name : true) &&
-            strncmp(node->name, ffn_moe_gate_bias_prefix.c_str(), ffn_moe_gate_bias_prefix.size()) != 0 &&
-            strncmp(node->name, ffn_moe_up_bias_prefix.c_str(), ffn_moe_up_bias_prefix.size()) != 0 &&
-            strncmp(node->name, ffn_moe_down_bias_prefix.c_str(), ffn_moe_down_bias_prefix.size()) != 0 &&
-            strncmp(node->name, nemotron_h_block_out_prefix.c_str(), nemotron_h_block_out_prefix.size()) != 0 &&
-            strncmp(node->name, mamba2_y_add_d_prefix.c_str(), mamba2_y_add_d_prefix.size()) != 0) {
-            // disable CUDA graphs for batch size > 1 for now while excluding the matrix-matrix addition as part of Gemma3n's `project_per_layer_input` operation
-            // by means of matching node names. See
-            // https://github.com/ggml-org/llama.cpp/blob/f9a31eea06a859e34cecb88b4d020c7f03d86cc4/src/llama-model.cpp#L10199-L10241 and
-            // https://github.com/huggingface/transformers/blob/bda75b4011239d065de84aa3e744b67ebfa7b245/src/transformers/models/gemma3n/modeling_gemma3n.py#L1773,
-            // Generally, changes in batch size or context size can cause changes to the grid size of some kernels.
+        // [TAG_MUL_MAT_ID_CUDA_GRAPHS]
+        if (node->op == GGML_OP_MUL_MAT_ID && (!ggml_is_quantized(node->src[0]->type) || node->ne[2] > MMVQ_MMID_MAX_BATCH_SIZE)) {
+            // under these conditions, the mul_mat_id operation will need to synchronize the stream, so we cannot use CUDA graphs
+            // TODO: figure out a way to enable for larger batch sizes, without hurting performance
+            // ref: https://github.com/ggml-org/llama.cpp/pull/18958
             use_cuda_graph = false;
 #ifndef NDEBUG
-            GGML_LOG_DEBUG("%s: disabling CUDA graphs due to batch size > 1 [%s] [%ld %ld %ld %ld]\n", __func__, node->name, node->ne[0], node->ne[1], node->ne[2], node->ne[3]);
+            GGML_LOG_DEBUG("%s: disabling CUDA graphs due to unsupported node type\n", __func__);
 #endif
         }
 
@@ -3000,10 +3009,6 @@ static bool ggml_cuda_graph_update_required(ggml_backend_cuda_context * cuda_ctx
     const void * graph_key = ggml_cuda_graph_get_key(cgraph);
     ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
 
-    if (graph->instance == nullptr) {
-        res = true;
-    }
-
     // Check if the graph size has changed
     if (graph->props.size() != (size_t)cgraph->n_nodes) {
         res = true;
@@ -3355,7 +3360,7 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
             return false;
         }
 
-        //rms_norm kernel assumes contigous rows
+        //rms_norm kernel assumes contiguous rows
         if (!ggml_is_contiguous_rows(mul->src[0]) || !ggml_is_contiguous_rows(mul->src[1])) {
             return false;
         }
@@ -3367,6 +3372,46 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         return true;
     }
 
+    if (ops.size() == 2 && ops.begin()[0] == GGML_OP_SSM_CONV && ops.begin()[1] == GGML_OP_UNARY
+     && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_SILU) {
+        const ggml_tensor * ssm_conv = cgraph->nodes[node_idx];
+        const ggml_tensor * silu     = cgraph->nodes[node_idx+1];
+
+        if (ssm_conv->type != GGML_TYPE_F32 || silu->type != GGML_TYPE_F32) {
+            return false;
+        }
+
+        return true;
+    }
+
+    if (ops.size() == 2 && ops.begin()[0] == GGML_OP_UNARY && ops.begin()[1] == GGML_OP_MUL
+     && unary_ops.size() == 1 && (unary_ops.begin()[0] == GGML_UNARY_OP_SILU || unary_ops.begin()[0] == GGML_UNARY_OP_SIGMOID || unary_ops.begin()[0] == GGML_UNARY_OP_SOFTPLUS)) {
+        const ggml_tensor * unary = cgraph->nodes[node_idx];
+        const ggml_tensor * mul   = cgraph->nodes[node_idx+1];
+
+        if (ggml_get_unary_op(unary) != unary_ops.begin()[0]) {
+            return false;
+        }
+
+        if (unary->type != GGML_TYPE_F32 && unary->type != GGML_TYPE_F16) {
+            return false;
+        }
+
+        if (unary->type != mul->type) {
+            return false;
+        }
+
+        const ggml_tensor * other = (mul->src[0] == unary) ? mul->src[1] : mul->src[0];
+        if (other->type != unary->type) {
+            return false;
+        }
+        if (!ggml_is_contiguous_1(other) || !ggml_is_contiguous_1(unary->src[0]) || !ggml_are_same_shape(other, unary)) {
+            return false;
+        }
+
+        return true;
+    }
+
     if (ops.size() == 3 && ops.begin()[0] == GGML_OP_SCALE && ops.begin()[1] == GGML_OP_UNARY && ops.begin()[2] == GGML_OP_SCALE
      && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_TANH) {
         const ggml_tensor *scale  = cgraph->nodes[node_idx];
@@ -3391,6 +3436,69 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
     return false;
 }
 
+// returns whether the write (out) nodes overwrite the read nodes in operation
+static bool ggml_cuda_check_fusion_memory_ranges(ggml_cgraph * cgraph,
+                                                 int           node_idx,
+                                                 int           node_count,
+                                                 int *         out_nodes,
+                                                 int           out_count) {
+    auto nodes_overlap = [&](const ggml_tensor * a, const ggml_tensor * b) {
+        const int64_t a_start = (int64_t) a->data;
+        const int64_t a_end   = a_start + ggml_nbytes(a);
+
+        const int64_t b_start = (int64_t) b->data;
+        const int64_t b_end   = b_start + ggml_nbytes(b);
+
+        if ((b_start <= a_start && a_start < b_end) || (a_start <= b_start && b_start < a_end)) {
+            return true;
+        }
+
+        return false;
+    };
+
+    bool is_ok = true;
+    // for nrows=1, all fusion operations correctly read the src before writing dst or do it elementwise, so we should be ok
+    if (ggml_nrows(cgraph->nodes[node_idx]) == 1) {
+        return true;
+    }
+
+    for (int i = 0; i < out_count; ++i) {
+        const ggml_tensor * dst = cgraph->nodes[out_nodes[i]];
+
+        for (int j = node_idx; j < node_idx + node_count; ++j) {
+            // Loop over all srcs of all nodes in the fusion. If the src overlaps
+            // the destination and the src is not an intermediate node that's being
+            // elided, then disable fusion.
+
+            for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
+                const ggml_tensor * src = cgraph->nodes[j]->src[src_idx];
+
+                if (!src || src->op == GGML_OP_NONE) {
+                    continue;
+                }
+
+                if (nodes_overlap(dst, src)) {
+                    bool found = false;
+
+                    for (int k = node_idx; k < j; ++k) {
+                        if (cgraph->nodes[k] == src) {
+                            found = true;
+                            break;
+                        }
+                    }
+
+                    if (!found) {
+                        is_ok = false;
+                        break;
+                    }
+                }
+            }
+        }
+    }
+
+    return is_ok;
+}
+
 static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cuda_ctx, ggml_cgraph * cgraph, const bool use_cuda_graph, const bool cuda_graph_update_required, const void * graph_key) {
     bool graph_evaluated_or_captured = false;
 
@@ -3587,7 +3695,8 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                                 out_nodes[1] = i + ops.size() - 1;
 
                                 if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
-                                        ggml_cuda_should_use_topk_moe(node, logits, weights, ids)) {
+                                    ggml_cuda_should_use_topk_moe(node, logits, weights, ids) &&
+                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2)) {
                                     ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
                                     i += ops.size() - 1;
                                     continue;
@@ -3602,7 +3711,8 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
 
                                 int out_nodes[2] = { i + 1, i + 5 };
                                 if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
-                                        ggml_cuda_should_use_topk_moe(softmax, logits, weights, ids)) {
+                                    ggml_cuda_should_use_topk_moe(softmax, logits, weights, ids) &&
+                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2)) {
                                     ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
                                     i += ops.size() - 1;
                                     continue;
@@ -3640,11 +3750,13 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                         n_fuse++;
 
                         if (n_fuse > 1) {
+                            ggml_tensor fused_add_node;
+                            memcpy(&fused_add_node, node, sizeof(ggml_tensor));
                             for (int j = 0; j < n_fuse - 1; ++j) {
-                                node->src[j + 2] = cgraph->nodes[i + j + 1]->src[1];
+                                fused_add_node.src[j + 2] = cgraph->nodes[i + j + 1]->src[1];
                             }
-                            cgraph->nodes[i + n_fuse - 1]->data = node->data;
-                            ggml_cuda_op_fused_add(*cuda_ctx, node, n_fuse);
+                            fused_add_node.data = cgraph->nodes[i + n_fuse - 1]->data;
+                            ggml_cuda_op_fused_add(*cuda_ctx, &fused_add_node, n_fuse);
                             i += n_fuse - 1;
 
                             continue;
@@ -3853,6 +3965,20 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                         continue;
                     }
 
+                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SSM_CONV, GGML_OP_UNARY }, { GGML_UNARY_OP_SILU })) {
+                        ggml_cuda_op_ssm_conv(*cuda_ctx, node, cgraph->nodes[i+1]);
+                        i++;
+                        continue;
+                    }
+
+                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SILU }) ||
+                        ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SIGMOID }) ||
+                        ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SOFTPLUS })) {
+                        ggml_cuda_op_unary_mul(*cuda_ctx, node, cgraph->nodes[i+1]);
+                        i++;
+                        continue;
+                    }
+
                     if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SCALE, GGML_OP_UNARY, GGML_OP_SCALE }, { GGML_UNARY_OP_TANH })) {
                         i += 2;
                         ggml_cuda_op_softcap(*cuda_ctx, cgraph->nodes[i], node);
@@ -3950,14 +4076,35 @@ static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t backend,
 #ifdef USE_CUDA_GRAPH
     graph_key = ggml_cuda_graph_get_key(cgraph);
 
-    use_cuda_graph = ggml_cuda_graph_set_enabled(cuda_ctx, graph_key);
+    ggml_cuda_graph_set_enabled(cuda_ctx, graph_key);
 
     ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
     if (graph->is_enabled()) {
-        cuda_graph_update_required = ggml_cuda_graph_update_required(cuda_ctx, cgraph);
-        use_cuda_graph             = ggml_cuda_graph_check_compability(cgraph);
-
-        graph->record_update(use_cuda_graph, cuda_graph_update_required);
+        const bool graph_compatible = ggml_cuda_graph_check_compability(cgraph);
+        if (graph_compatible) {
+            const bool properties_changed = ggml_cuda_graph_update_required(cuda_ctx, cgraph);
+
+            if (!graph->warmup_complete) {
+                // Warmup: need at least 2 calls with no property change on the 2nd call
+                if (!properties_changed) {
+                    graph->warmup_complete = true;
+                    GGML_LOG_DEBUG("%s: CUDA graph warmup complete\n", __func__);
+                    use_cuda_graph = true;
+                    cuda_graph_update_required = true;
+                }
+                // else: properties changed or first call - execute directly (use_cuda_graph stays false)
+            } else {
+                // Post-warmup: normal CUDA graph operation
+                if (properties_changed) {
+                    // Properties changed - reset warmup, execute directly until stable again
+                    graph->warmup_complete = false;
+                    GGML_LOG_DEBUG("%s: CUDA graph warmup reset\n", __func__);
+                } else {
+                    use_cuda_graph = true;
+                    cuda_graph_update_required = graph->instance == nullptr;
+                }
+            }
+        }
     }
 #endif // USE_CUDA_GRAPH
 
@@ -4542,6 +4689,8 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
                 case GGML_UNARY_OP_CEIL:
                 case GGML_UNARY_OP_ROUND:
                 case GGML_UNARY_OP_TRUNC:
+                    // TODO: should become:
+                    //return ggml_is_contiguous_rows(op->src[0]);
                     return ggml_is_contiguous(op->src[0]);
                 default:
                     return false;
@@ -4820,8 +4969,11 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
         case GGML_OP_CONV_2D_DW:
         case GGML_OP_CONV_TRANSPOSE_2D:
         case GGML_OP_POOL_2D:
-        case GGML_OP_ACC:
             return true;
+        case GGML_OP_ACC:
+            // TODO: extend support like so:
+            //return ggml_is_contiguous_rows(op->src[0]) && ggml_is_contiguous_rows(op->src[1]);
+            return ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
         case GGML_OP_SUM:
             return ggml_is_contiguous_rows(op->src[0]);
         case GGML_OP_TOP_K:
@@ -4846,6 +4998,13 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
         case GGML_OP_GATED_LINEAR_ATTN:
         case GGML_OP_RWKV_WKV7:
             return true;
+        case GGML_OP_GATED_DELTA_NET:
+            //TODO: enable once MUSA compiler is solved https://github.com/ggml-org/llama.cpp/pull/19504#issuecomment-4018634327
+#ifdef GGML_USE_MUSA
+            return false;
+#else
+            return true;
+#endif // GGML_USE_MUSA
         case GGML_OP_FLASH_ATTN_EXT:
             return ggml_cuda_flash_attn_ext_supported(dev_ctx->device, op);
         case GGML_OP_CROSS_ENTROPY_LOSS:
diff --git a/ggml/src/ggml-cuda/mma.cuh b/ggml/src/ggml-cuda/mma.cuh
index dd45d6c78fd..5d1dadd3e4f 100644
--- a/ggml/src/ggml-cuda/mma.cuh
+++ b/ggml/src/ggml-cuda/mma.cuh
@@ -668,7 +668,7 @@ namespace ggml_cuda_mma {
 
         return ret;
     }
-#elif defined(AMD_WMMA_AVAILABLE)
+#elif defined(AMD_WMMA_AVAILABLE) || defined(AMD_MFMA_AVAILABLE)
     template <int I, int J>
     static __device__ __forceinline__ tile<I, J/2, half2> get_half2(const tile<I, J, float> & tile_float) {
         tile<I, J/2, half2> ret;
@@ -964,6 +964,34 @@ namespace ggml_cuda_mma {
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
 #endif // defined(RDNA4)
+#elif defined(AMD_MFMA_AVAILABLE)
+        // MFMA: FP16 input, FP32 accumulate, convert back to half2.
+        using halfx4_t = __attribute__((ext_vector_type(4))) _Float16;
+        using floatx4_t = __attribute__((ext_vector_type(4))) float;
+
+        // Convert existing half2 accumulator to float for MFMA:
+        floatx4_t acc_f32;
+        {
+            const halfx4_t acc_h = reinterpret_cast<const halfx4_t&>(D.x[0]);
+#pragma unroll
+            for (int i = 0; i < 4; ++i) {
+                acc_f32[i] = (float)acc_h[i];
+            }
+        }
+
+        const halfx4_t& a_frag = reinterpret_cast<const halfx4_t&>(A.x[0]);
+        const halfx4_t& b_frag = reinterpret_cast<const halfx4_t&>(B.x[0]);
+        acc_f32 = __builtin_amdgcn_mfma_f32_16x16x16f16(a_frag, b_frag, acc_f32, 0, 0, 0);
+
+        // Convert back to half2:
+        {
+            halfx4_t result_h;
+#pragma unroll
+            for (int i = 0; i < 4; ++i) {
+                result_h[i] = (_Float16)acc_f32[i];
+            }
+            reinterpret_cast<halfx4_t&>(D.x[0]) = result_h;
+        }
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
diff --git a/ggml/src/ggml-cuda/mmq.cuh b/ggml/src/ggml-cuda/mmq.cuh
index f80f98cda2c..255e59f6fc6 100644
--- a/ggml/src/ggml-cuda/mmq.cuh
+++ b/ggml/src/ggml-cuda/mmq.cuh
@@ -2715,14 +2715,14 @@ template <int mmq_y, bool need_check> static __device__ __forceinline__ void loa
 
 #pragma unroll
         for (int l = 0; l < QR2_XXS; ++l) {
-            const int * grid_pos = (const int *) (iq2xxs_grid + aux8[l]);
-            const int signs_packed = ksigns_iq2xs[(aux32 >> (7*l)) & 0x7F];
+            const uint2 grid_pos = ((const uint2*)iq2xxs_grid)[aux8[l]];
+            const uint32_t signs = unpack_ksigns(aux32 >> (7 * l));
 
-            const int signs0 = __vcmpne4(((signs_packed & 0x03) << 7) | ((signs_packed & 0x0C) << 21), 0x00000000);
-            const int grid0 = __vsub4(grid_pos[0] ^ signs0, signs0);
+            const int signs0 = __vcmpne4(signs & 0x08040201, 0);
+            const int grid0 = __vsub4(grid_pos.x ^ signs0, signs0);
 
-            const int signs1 = __vcmpne4(((signs_packed & 0x30) << 3) | ((signs_packed & 0xC0) << 17), 0x00000000);
-            const int grid1 = __vsub4(grid_pos[1] ^ signs1, signs1);
+            const int signs1 = __vcmpne4(signs & 0x80402010, 0);
+            const int grid1 = __vsub4(grid_pos.y ^ signs1, signs1);
 
 #if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
             x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l + 0)] = grid0;
@@ -2733,12 +2733,12 @@ template <int mmq_y, bool need_check> static __device__ __forceinline__ void loa
 #endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
         }
 
-        const int ls = aux32 >> 28;
+        const int ls = aux32 >> 27 | 1; // (scale * 2 + 1)
         const float d = bxi->d;
 #if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
-        x_df[i*MMQ_MMA_TILE_X_K_Q8_0   + kqsx] = (ls*d + d/2)/4;
+        x_df[i*MMQ_MMA_TILE_X_K_Q8_0   + kqsx] = d * ls / 8; // (d * scale + d / 2) / 4
 #else
-        x_df[i*(MMQ_TILE_NE_K/4) + i/4 + kqsx] = (ls*d + d/2)/4;
+        x_df[i*(MMQ_TILE_NE_K/4) + i/4 + kqsx] = d * ls / 8; // (d * scale + d / 2) / 4
 #endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE)  || defined(AMD_WMMA_AVAILABLE)
     }
 }
@@ -2776,11 +2776,14 @@ template <int mmq_y, bool need_check> static __device__ __forceinline__ void loa
 
     #pragma unroll
         for (int l = 0; l < QR2_XS; ++l) {
-            const uint32_t * grid_pos = (const uint32_t *)(iq2xs_grid + (q2[l] & 0x000001FF));
-            const uint32_t * signs    = (const uint32_t *)(ksigns64   + (q2[l] >> 9));
+            const uint2 grid_pos = ((const uint2*)iq2xs_grid)[q2[l] & 0x1FF];
+            const uint32_t signs = unpack_ksigns(q2[l] >> 9);
+
+            const int signs0 = __vcmpne4(signs & 0x08040201, 0);
+            const int grid_l = __vsub4(grid_pos.x ^ signs0, signs0);
 
-            const int grid_l = __vsub4(grid_pos[0] ^ signs[0], signs[0]);
-            const int grid_h = __vsub4(grid_pos[1] ^ signs[1], signs[1]);
+            const int signs1 = __vcmpne4(signs & 0x80402010, 0);
+            const int grid_h = __vsub4(grid_pos.y ^ signs1, signs1);
 
 #if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
             x_qs[i*MMQ_MMA_TILE_X_K_Q3_K + 8*kqsx + (2*l + 0)] = grid_l;
@@ -2904,11 +2907,13 @@ template <int mmq_y, bool need_check> static __device__ __forceinline__ void loa
 #pragma unroll
         for (int l = 0; l < QR3_XXS; ++l) {
             const int2 grid_pos = make_int2(iq3xxs_grid[q3[2*l+0]], iq3xxs_grid[q3[2*l+1]]);
+            const uint32_t signs = unpack_ksigns(aux32 >> (7*l));
 
-            const int * signs = (const int *)(ksigns64 + ((aux32 >> (7*l)) & 0x7F));
+            const int signs0 = __vcmpne4(signs & 0x08040201, 0);
+            const int grid_l = __vsub4(grid_pos.x ^ signs0, signs0);
 
-            const int grid_l = __vsub4(grid_pos.x ^ signs[0], signs[0]);
-            const int grid_h = __vsub4(grid_pos.y ^ signs[1], signs[1]);
+            const int signs1 = __vcmpne4(signs & 0x80402010, 0);
+            const int grid_h = __vsub4(grid_pos.y ^ signs1, signs1);
 
 #if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
             x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + 8*kqsx + (2*l + 0)] = grid_l;
diff --git a/ggml/src/ggml-cuda/mmvq.cuh b/ggml/src/ggml-cuda/mmvq.cuh
index 4bb10cfaec2..8a154631f69 100644
--- a/ggml/src/ggml-cuda/mmvq.cuh
+++ b/ggml/src/ggml-cuda/mmvq.cuh
@@ -1,6 +1,7 @@
 #include "common.cuh"
 
 #define MMVQ_MAX_BATCH_SIZE 8 // Max. batch size for which to use MMVQ kernels.
+#define MMVQ_MMID_MAX_BATCH_SIZE 4 // Max. batch size for which to use MMVQ kernels for MUL_MAT_ID
 
 void ggml_cuda_mul_mat_vec_q(ggml_backend_cuda_context & ctx,
     const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst, const ggml_cuda_mm_fusion_args_host * fusion = nullptr);
diff --git a/ggml/src/ggml-cuda/quantize.cu b/ggml/src/ggml-cuda/quantize.cu
index a8c68e44b16..4300ffc148c 100644
--- a/ggml/src/ggml-cuda/quantize.cu
+++ b/ggml/src/ggml-cuda/quantize.cu
@@ -235,7 +235,7 @@ static __global__ void quantize_mmq_q8_1(
     q.z = roundf(xi.z*d_inv);
     q.w = roundf(xi.w*d_inv);
 
-    // Write back 4 int8 values as a single 32 bit value for better memroy bandwidth:
+    // Write back 4 int8 values as a single 32 bit value for better memory bandwidth:
     char4 * yqs4 = (char4 *) y[ib].qs;
     yqs4[iqs/4] = q;
 
diff --git a/ggml/src/ggml-cuda/softmax.cu b/ggml/src/ggml-cuda/softmax.cu
index dc06d06930e..285c0e9543a 100644
--- a/ggml/src/ggml-cuda/softmax.cu
+++ b/ggml/src/ggml-cuda/softmax.cu
@@ -46,7 +46,7 @@ struct soft_max_params {
 };
 
 // When ncols_template == 0 the bounds for the loops in this function are not known and can't be unrolled.
-// As we want to keep pragma unroll for all other cases we supress the clang transformation warning here.
+// As we want to keep pragma unroll for all other cases we suppress the clang transformation warning here.
 #ifdef __clang__
 #pragma clang diagnostic push
 #pragma clang diagnostic ignored "-Wpass-failed"
diff --git a/ggml/src/ggml-cuda/solve_tri.cu b/ggml/src/ggml-cuda/solve_tri.cu
index 177ffc268f1..07ca33f513b 100644
--- a/ggml/src/ggml-cuda/solve_tri.cu
+++ b/ggml/src/ggml-cuda/solve_tri.cu
@@ -83,7 +83,7 @@ static void solve_tri_f32_cublas(ggml_backend_cuda_context & ctx,
 // ======================
 // When ncols_template == 0 the bounds for the loops in this function are not
 // known and can't be unrolled. As we want to keep pragma unroll for all other
-// cases we supress the clang transformation warning here.
+// cases we suppress the clang transformation warning here.
 #ifdef __clang__
 #    pragma clang diagnostic push
 #    pragma clang diagnostic ignored "-Wpass-failed"
diff --git a/ggml/src/ggml-cuda/ssm-conv.cu b/ggml/src/ggml-cuda/ssm-conv.cu
index 6d5ea704c65..69985cd335c 100644
--- a/ggml/src/ggml-cuda/ssm-conv.cu
+++ b/ggml/src/ggml-cuda/ssm-conv.cu
@@ -1,6 +1,7 @@
 #include "ssm-conv.cuh"
+#include "unary.cuh"
 
-template <size_t split_d_inner, size_t d_conv>
+template <bool apply_silu, size_t split_d_inner, size_t d_conv>
 static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float * __restrict__ src1,
                                     const int src0_nb0, const int src0_nb1, const int src0_nb2, const int src1_nb1,
                                     float * __restrict__ dst, const int dst_nb0, const int dst_nb1, const int dst_nb2,
@@ -41,11 +42,11 @@ static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float
         for (size_t j = 0; j < d_conv; j++) {
             sumf += x[(i + j) % d_conv] * w[j];
         }
-        y_block[i * stride_y + tid] = sumf;
+        y_block[i * stride_y + tid] = apply_silu ? ggml_cuda_op_silu_single(sumf) : sumf;
     }
 }
 
-template <size_t split_d_inner, size_t d_conv, int64_t split_n_t>
+template <bool apply_silu, size_t split_d_inner, size_t d_conv, int64_t split_n_t>
 static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, const float * __restrict__ src1,
                                                const int src0_nb0, const int src0_nb1, const int src0_nb2,
                                                const int src1_nb1, float * __restrict__ dst, const int dst_nb0,
@@ -65,36 +66,49 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0,
     const int stride_w = src1_nb1 / sizeof(float);
     const int stride_y = dst_nb1 / sizeof(float);
 
-    float x[d_conv] = { 0.0f };
-    float w[d_conv] = { 0.0f };
+    const int64_t local_n_t = min(split_n_t, n_t - bidz * split_n_t);
+    const int     n_cols    = d_conv - 1 + split_n_t;
+
+    extern __shared__ float smem[];
 
+    constexpr int load_cols   = d_conv - 1 + split_n_t;
+    constexpr int total_elems = split_d_inner * load_cols;
+    int row = tid / load_cols;
+    int col = tid % load_cols;
 #pragma unroll
-    for (size_t j = 0; j < d_conv; j++) {
-        w[j] = w_block[tid * stride_w + j];
+    for (int idx = 0; idx < total_elems; idx += split_d_inner) {
+        if (row < (int)split_d_inner) {
+            smem[row * n_cols + col] = x_block[row * stride_x + col];
+        }
+
+        col += split_d_inner;
+        row += col / load_cols;
+        col  = col % load_cols;
+        if (idx >= total_elems - tid - split_d_inner) {
+            break;
+        }
     }
+    __syncthreads();
 
+    // Load weights into registers (done once, small)
+    float w[d_conv] = { 0.0f };
 #pragma unroll
-    for (int64_t i = 0; i < split_n_t; i++) {
-        if (bidz * split_n_t + i < n_t) {
-            float sumf = 0.0f;
-
-            if (i == 0) {
-                for (size_t j = 0; j < d_conv; j++) {
-                    x[j] = x_block[tid * stride_x + j];
-                }
-            } else {
-                x[(i - 1) % d_conv] = x_block[tid * stride_x + i + d_conv - 1];
-            }
+    for (size_t j = 0; j < d_conv; j++) {
+        w[j] = w_block[tid * stride_w + j];
+    }
 
+    // Compute from shared memory
+    for (int64_t i = 0; i < local_n_t; i++) {
+        float sumf = 0.0f;
 #pragma unroll
-            for (size_t j = 0; j < d_conv; j++) {
-                sumf += x[(i + j) % d_conv] * w[j];
-            }
-            y_block[i * stride_y + tid] = sumf;
+        for (size_t j = 0; j < d_conv; j++) {
+            sumf += smem[tid * n_cols + i + j] * w[j];
         }
+        y_block[i * stride_y + tid] = apply_silu ? ggml_cuda_op_silu_single(sumf) : sumf;
     }
 }
 
+template <bool apply_silu>
 static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int src0_nb0, const int src0_nb1,
                               const int src0_nb2, const int src1_nb1, float * dst, const int dst_nb0, const int dst_nb1,
                               const int dst_nb2, const int64_t nc, const int64_t nr, const int64_t n_t,
@@ -106,12 +120,13 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int
         constexpr int kNC = decltype(NC)::value;
         if (n_t <= 32) {
             const dim3 blocks(n_s, (nr + threads - 1) / threads, 1);
-            ssm_conv_f32<threads, kNC><<<blocks, threads, 0, stream>>>(src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1,
+            ssm_conv_f32<apply_silu, threads, kNC><<<blocks, threads, 0, stream>>>(src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1,
                                                                        dst, dst_nb0, dst_nb1, dst_nb2, n_t);
         } else {
             const int64_t split_n_t = 32;
             dim3          blocks(n_s, (nr + threads - 1) / threads, (n_t + split_n_t - 1) / split_n_t);
-            ssm_conv_long_token_f32<threads, kNC, split_n_t><<<blocks, threads, 0, stream>>>(
+            const size_t  smem_size = threads * (kNC - 1 + split_n_t) * sizeof(float);
+            ssm_conv_long_token_f32<apply_silu, threads, kNC, split_n_t><<<blocks, threads, smem_size, stream>>>(
                 src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1, dst, dst_nb0, dst_nb1, dst_nb2, n_t);
         }
     };
@@ -124,27 +139,36 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int
     }
 }
 
-void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * silu_dst) {
     const struct ggml_tensor * src0 = dst->src[0];  // conv_x
     const struct ggml_tensor * src1 = dst->src[1];  // conv1d.weight
+    const bool fuse_silu = silu_dst != nullptr;
+
+    // When fusing, write to silu_dst (the node downstream references).
+    const struct ggml_tensor * out = fuse_silu ? silu_dst : dst;
 
     const int64_t nc  = src1->ne[0];                // d_conv
     const int64_t nr  = src0->ne[1];                // d_inner
-    const int64_t n_t = dst->ne[1];                 // tokens per sequence
-    const int64_t n_s = dst->ne[2];                 // number of sequences in the batch
+    const int64_t n_t = out->ne[1];                 // tokens per sequence
+    const int64_t n_s = out->ne[2];                 // number of sequences in the batch
 
-    GGML_ASSERT(dst->ne[0] == nr);
+    GGML_ASSERT(out->ne[0] == nr);
     GGML_ASSERT(src0->nb[0] == sizeof(float));
     GGML_ASSERT(src1->nb[0] == sizeof(float));
     GGML_ASSERT(src0->nb[1] == src0->ne[0] * sizeof(float));
 
     const float * src0_d = (const float *) src0->data;
     const float * src1_d = (const float *) src1->data;
-    float *       dst_d  = (float *) dst->data;
+    float *       dst_d  = (float *) out->data;
     cudaStream_t  stream = ctx.stream();
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
-    ssm_conv_f32_cuda(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, dst->nb[0], dst->nb[1],
-                      dst->nb[2], nc, nr, n_t, n_s, stream);
+    GGML_ASSERT(out->type == GGML_TYPE_F32);
+    if (fuse_silu) {
+        ssm_conv_f32_cuda<true>(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1],
+                          out->nb[2], nc, nr, n_t, n_s, stream);
+    } else {
+        ssm_conv_f32_cuda<false>(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1],
+                          out->nb[2], nc, nr, n_t, n_s, stream);
+    }
 }
diff --git a/ggml/src/ggml-cuda/ssm-conv.cuh b/ggml/src/ggml-cuda/ssm-conv.cuh
index 8e6c1f00bfa..f96a1cd2484 100644
--- a/ggml/src/ggml-cuda/ssm-conv.cuh
+++ b/ggml/src/ggml-cuda/ssm-conv.cuh
@@ -1,3 +1,3 @@
 #include "common.cuh"
 
-void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
+void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * silu_dst = nullptr);
diff --git a/ggml/src/ggml-cuda/topk-moe.cu b/ggml/src/ggml-cuda/topk-moe.cu
index 08a88990dde..3020e5c7433 100644
--- a/ggml/src/ggml-cuda/topk-moe.cu
+++ b/ggml/src/ggml-cuda/topk-moe.cu
@@ -119,6 +119,18 @@ __launch_bounds__(4 * WARP_SIZE, 1) __global__ void topk_moe_cuda(const float *
         }
     }
 
+    // Sanitize NaN to -FLT_MAX so the iterative argmax produces unique expert IDs.
+    // NaN comparisons always return false, which would cause the same expert to be
+    // selected repeatedly. -FLT_MAX compares normally and is still excluded by the
+    // -INFINITY sentinel used after each selection round.
+    // More relevant for the cuBLAS path. See https://github.com/ggml-org/llama.cpp/issues/19659
+#pragma unroll
+    for (int i = 0; i < experts_per_thread; i++) {
+        if (__isnanf(wt[i])) {
+            wt[i] = -FLT_MAX;
+        }
+    }
+
     // selection_wt is only needed when bias is present (selection uses wt + bias)
     // when no bias, we use wt directly for both selection and weight values
     float selection_wt[has_bias ? experts_per_thread : 1];
diff --git a/ggml/src/ggml-cuda/unary.cu b/ggml/src/ggml-cuda/unary.cu
index d4866067a4f..4ad30fa1f35 100644
--- a/ggml/src/ggml-cuda/unary.cu
+++ b/ggml/src/ggml-cuda/unary.cu
@@ -560,3 +560,58 @@ void ggml_cuda_op_leaky_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
         leaky_relu_cuda((const float *)src0_d, (float *)dst_d, ggml_nelements(src0), negative_slope, stream);
     }
 }
+
+/* fused unary + mul */
+
+template <float (*op)(float)>
+static void ggml_cuda_op_unary_mul_impl(ggml_backend_cuda_context & ctx, ggml_tensor * unary_node, ggml_tensor * mul_node) {
+    // unary_node: UNARY op applied to unary_node->src[0]
+    // mul_node:   MUL(a, b) where one of a/b is unary_node
+    // Output goes to mul_node->data
+
+    const ggml_tensor * unary_src = unary_node->src[0];  // input to the unary op
+    const ggml_tensor * other_src = (mul_node->src[0] == unary_node) ? mul_node->src[1] : mul_node->src[0];
+
+    GGML_ASSERT(ggml_is_contiguous_1(unary_src));
+    GGML_ASSERT(unary_src->nb[0] == ggml_element_size(unary_src));
+    GGML_ASSERT(ggml_is_contiguous_1(other_src));
+    GGML_ASSERT(other_src->nb[0] == ggml_element_size(other_src));
+    GGML_ASSERT(ggml_are_same_shape(unary_src, other_src));
+
+    GGML_ASSERT(unary_src->type == GGML_TYPE_F32 || unary_src->type == GGML_TYPE_F16);
+    GGML_ASSERT(unary_src->type == other_src->type);
+    GGML_ASSERT(unary_src->type == mul_node->type);
+
+    cudaStream_t stream = ctx.stream();
+
+    const int64_t k  = ggml_nelements(mul_node);
+    const int64_t nc = unary_src->ne[0];
+    const int64_t unary_stride = unary_src->nb[1];
+    const int64_t other_stride = other_src->nb[1];
+
+    if (unary_src->type == GGML_TYPE_F16) {
+        unary_gated_cuda<op>((const half *) unary_src->data, (const half *) other_src->data,
+                             (half *) mul_node->data, k, nc,
+                             unary_stride / sizeof(half), other_stride / sizeof(half), stream);
+    } else {
+        unary_gated_cuda<op>((const float *) unary_src->data, (const float *) other_src->data,
+                             (float *) mul_node->data, k, nc,
+                             unary_stride / sizeof(float), other_stride / sizeof(float), stream);
+    }
+}
+
+void ggml_cuda_op_unary_mul(ggml_backend_cuda_context & ctx, ggml_tensor * unary_node, ggml_tensor * mul_node) {
+    switch (ggml_get_unary_op(unary_node)) {
+        case GGML_UNARY_OP_SILU:
+            ggml_cuda_op_unary_mul_impl<op_silu>(ctx, unary_node, mul_node);
+            break;
+        case GGML_UNARY_OP_SIGMOID:
+            ggml_cuda_op_unary_mul_impl<op_sigmoid>(ctx, unary_node, mul_node);
+            break;
+        case GGML_UNARY_OP_SOFTPLUS:
+            ggml_cuda_op_unary_mul_impl<op_softplus>(ctx, unary_node, mul_node);
+            break;
+        default:
+            GGML_ABORT("Unsupported unary op for fused unary+mul");
+    }
+}
diff --git a/ggml/src/ggml-cuda/unary.cuh b/ggml/src/ggml-cuda/unary.cuh
index 609046e5694..f1dd2183a6c 100644
--- a/ggml/src/ggml-cuda/unary.cuh
+++ b/ggml/src/ggml-cuda/unary.cuh
@@ -89,6 +89,8 @@ void ggml_cuda_op_geglu_quick(ggml_backend_cuda_context & ctx, ggml_tensor * dst
 
 void ggml_cuda_op_xielu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 
+void ggml_cuda_op_unary_mul(ggml_backend_cuda_context & ctx, ggml_tensor * unary_node, ggml_tensor * mul_node);
+
 __device__ __forceinline__ float ggml_cuda_op_silu_single(float x) {
     return x / (1.0f + expf(-x));
 }
diff --git a/ggml/src/ggml-cuda/vecdotq.cuh b/ggml/src/ggml-cuda/vecdotq.cuh
index 6baab1176ff..ab803aca21b 100644
--- a/ggml/src/ggml-cuda/vecdotq.cuh
+++ b/ggml/src/ggml-cuda/vecdotq.cuh
@@ -94,6 +94,15 @@ static __device__ __forceinline__ int2 get_int_from_table_16(const int & q4, con
 #endif
 }
 
+static __device__ __forceinline__ uint32_t unpack_ksigns(const uint8_t v) {
+    // v is a 7 bit int, with the 8th sign being encodable as popcnt
+    // with xor we can "correct" the bit instead of having to mask
+    const uint32_t p = __popc(v) & 1;
+    const uint32_t s = v ^ p << 7;
+    // broadcast over uint to allow for 0x08040201 / 0x80402010 as selectors
+    return s * 0x01010101;
+}
+
 // VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
 // MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
 
@@ -905,22 +914,22 @@ static __device__ __forceinline__ float vec_dot_iq2_xxs_q8_1(
     int sumi = 0;
 #pragma unroll
     for (int k0 = 0; k0 < 8; k0 += 2) {
-        const int * grid_pos = (const int *) (iq2xxs_grid + aux8[k0/2]);
-        const int signs_packed = ksigns_iq2xs[(aux32 >> (7*k0/2)) & 0x7F];
+        const uint2 grid_pos = ((const uint2*)iq2xxs_grid)[aux8[k0/2]];
+        const uint32_t signs = unpack_ksigns(aux32 >> (7 * k0 / 2));
 
-        const int signs0 = __vcmpne4(((signs_packed & 0x03) << 7) | ((signs_packed & 0x0C) << 21), 0x00000000);
-        const int grid0 = __vsub4(grid_pos[0] ^ signs0, signs0);
+        const int signs0 = __vcmpne4(signs & 0x08040201, 0);
+        const int grid0 = __vsub4(grid_pos.x ^ signs0, signs0);
         const int u0 = get_int_b4(bq8_1[iqs/2].qs, k0 + 0);
         sumi = ggml_cuda_dp4a(grid0, u0, sumi);
 
-        const int signs1 = __vcmpne4(((signs_packed & 0x30) << 3) | ((signs_packed & 0xC0) << 17), 0x00000000);
-        const int grid1 = __vsub4(grid_pos[1] ^ signs1, signs1);
+        const int signs1 = __vcmpne4(signs & 0x80402010, 0);
+        const int grid1 = __vsub4(grid_pos.y ^ signs1, signs1);
         const int u1 = get_int_b4(bq8_1[iqs/2].qs, k0 + 1);
         sumi = ggml_cuda_dp4a(grid1, u1, sumi);
     }
 
-    const int ls = aux32 >> 28;
-    sumi = (ls*sumi + sumi/2)/4;
+    const int ls = aux32 >> 27 | 1; // (scale * 2 + 1)
+    sumi = sumi * ls / 8;           // (sumi * scale + sumi / 2) / 4
     const float d = __half2float(bq2->d) * __low2float(bq8_1[iqs/2].ds);
     return d * sumi;
 }
@@ -942,13 +951,15 @@ static __device__ __forceinline__ float vec_dot_iq2_xs_q8_1(
     int sumi1 = 0;
 #pragma unroll
     for (int l0 = 0; l0 < 8; l0 += 2) {
-        const uint32_t * grid_pos = (const uint32_t *)(iq2xs_grid + (q2[l0/2] & 0x000001FF));
-        const uint32_t * signs    = (const uint32_t *)(ksigns64   + (q2[l0/2] >> 9));
-
-        const int grid_l = __vsub4(grid_pos[0] ^ signs[0], signs[0]);
-        const int grid_h = __vsub4(grid_pos[1] ^ signs[1], signs[1]);
+        const uint2 grid_pos = ((const uint2*)iq2xs_grid)[q2[l0/2] & 0x1FF];
+        const uint32_t signs = unpack_ksigns(q2[l0/2] >> 9);
 
+        const int signs0 = __vcmpne4(signs & 0x08040201, 0);
+        const int grid_l = __vsub4(grid_pos.x ^ signs0, signs0);
         const int u0 = get_int_b4(bq8_1[iqs/2].qs, l0 + 0);
+
+        const int signs1 = __vcmpne4(signs & 0x80402010, 0);
+        const int grid_h = __vsub4(grid_pos.y ^ signs1, signs1);
         const int u1 = get_int_b4(bq8_1[iqs/2].qs, l0 + 1);
 
         if (l0 < 4) {
@@ -1028,13 +1039,16 @@ static __device__ __forceinline__ float vec_dot_iq3_xxs_q8_1(
 #pragma unroll
     for (int l0 = 0; l0 < 8; l0 += 2) {
         const int2 grid_pos = make_int2(iq3xxs_grid[q3[l0 + 0]], iq3xxs_grid[q3[l0 + 1]]);
+        const uint32_t signs = unpack_ksigns(aux32 >> (7*l0/2));
 
-        const int * signs = (const int *)(ksigns64 + ((aux32 >> (7*l0/2)) & 0x7F));
-
-        const int grid_l = __vsub4(grid_pos.x ^ signs[0], signs[0]);
-        const int grid_h = __vsub4(grid_pos.y ^ signs[1], signs[1]);
+        const int signs0 = __vcmpne4(signs & 0x08040201, 0);
+        const int grid_l = __vsub4(grid_pos.x ^ signs0, signs0);
 
         const int u0 = get_int_b4(bq8_1[iqs/2].qs, l0 + 0);
+
+        const int signs1 = __vcmpne4(signs & 0x80402010, 0);
+        const int grid_h = __vsub4(grid_pos.y ^ signs1, signs1);
+
         const int u1 = get_int_b4(bq8_1[iqs/2].qs, l0 + 1);
 
         sumi = ggml_cuda_dp4a(grid_l, u0, sumi);
diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp
index 54f9986498f..d6e9776b878 100644
--- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp
+++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp
@@ -139,7 +139,7 @@ struct ggml_hexagon_session {
 };
 
 void ggml_hexagon_session::enqueue(struct htp_general_req &req, struct dspqueue_buffer *bufs, uint32_t n_bufs, bool sync) {
-    // Bump pending flag (cleared in the session::flush once we get the responce)
+    // Bump pending flag (cleared in the session::flush once we get the response)
     this->op_pending++;  // atomic inc
 
     int err = dspqueue_write(this->queue,
@@ -443,7 +443,7 @@ static void repack_row_q4x4x2(uint8_t * y, const block_q4_0 * x, int64_t k) {
 
     // Repack the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_Q4_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Repack the scales
         ggml_half * d = (ggml_half *) (y_d + i * dblk_size);
@@ -503,7 +503,7 @@ static void unpack_row_q4x4x2(block_q4_0 * x, const uint8_t * y, int64_t k) {
 
     // Repack the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_Q4_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Unpack the scales
         const ggml_half * d = (const ggml_half *) (y_d + i * dblk_size);
@@ -552,7 +552,7 @@ static void init_row_q4x4x2(block_q4_0 * x, int64_t k) {
 
     // Init the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_Q4_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Unpack the scales
         x[i * 8 + 0].d = 0;
@@ -770,7 +770,7 @@ static void repack_row_q8x4x2(uint8_t * y, const block_q8_0 * x, int64_t k) {
 
     // Repack the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_Q4_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Repack the scales
         ggml_half * d = (ggml_half *) (y_d + i * dblk_size);
@@ -829,7 +829,7 @@ static void unpack_row_q8x4x2(block_q8_0 * x, const uint8_t * y, int64_t k) {
 
     // Repack the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_Q4_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Unpack the scales
         const ggml_half * d = (const ggml_half *) (y_d + i * dblk_size);
@@ -878,7 +878,7 @@ static void init_row_q8x4x2(block_q8_0 * x, int64_t k) {
 
     // Init the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_Q8_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Unpack the scales
         x[i * 8 + 0].d = 0;
@@ -1120,7 +1120,7 @@ static void repack_row_mxfp4x4x2(uint8_t * y, const block_mxfp4 * x, int64_t k)
 
     // Repack the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_MXFP4x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Repack the scales
         uint8_t * e = (uint8_t *) (y_e + i * eblk_size);
@@ -1180,7 +1180,7 @@ static void unpack_row_mxfp4x4x2(block_mxfp4 * x, const uint8_t * y, int64_t k)
 
     // Repack the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_MXFP4_0x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Unpack the scales
         const uint8_t * e = (const uint8_t *) (y_e + i * eblk_size);
@@ -1229,7 +1229,7 @@ static void init_row_mxfp4x4x2(block_mxfp4 * x, int64_t k) {
 
     // Init the scales
     // Note: Do not combine with the loop above. For tensor sizes not multiple of 256 (QK_MXFP4x4x2)
-    // the last block is truncated and overriden by the scales.
+    // the last block is truncated and overridden by the scales.
     for (int i = 0; i < nb; i++) {
         // Unpack the scales
         x[i * 8 + 0].e = 0;
@@ -1749,23 +1749,6 @@ static inline bool ggml_backend_buffer_is_hexagon_repack(const struct ggml_backe
     return b->buft->iface.alloc_buffer == ggml_backend_hexagon_repack_buffer_type_alloc_buffer;
 }
 
-static bool hex_supported_dims2(const struct ggml_tensor * x, const struct ggml_tensor * y) {
-    if (x->ne[0] != y->ne[0]) {
-        return false;
-    }
-    if (x->ne[1] != y->ne[1]) {
-        return false;
-    }
-    if (x->ne[2] != y->ne[2]) {
-        return false;
-    }
-    if (x->ne[3] != y->ne[3]) {
-        return false;
-    }
-
-    return true;
-}
-
 static bool ggml_hexagon_supported_flash_attn_ext(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
     const struct ggml_tensor * src0 = op->src[0];
     const struct ggml_tensor * src1 = op->src[1];
@@ -1797,43 +1780,6 @@ static bool ggml_hexagon_supported_flash_attn_ext(const struct ggml_hexagon_sess
     return opt_experimental;
 }
 
-static bool hex_supported_src0_type(ggml_type t) {
-    return t == GGML_TYPE_F32;
-}
-
-static bool hex_supported_src1_type(ggml_type t) {
-    return t == GGML_TYPE_F32;
-}
-
-static bool hex_supported_src2_type(ggml_type t) {
-    return t == GGML_TYPE_F32;
-}
-
-static bool hex_supported_src1_type2(ggml_type t) {
-    return t == GGML_TYPE_F16;
-}
-
-static bool hex_supported_src1_type3(ggml_type t) {
-    return t == GGML_TYPE_I32;
-}
-
-static bool hex_supported_dst_type(ggml_type t) {
-    return t == GGML_TYPE_F32;
-}
-
-static bool hex_supported_dims(const struct ggml_tensor * x, const struct ggml_tensor * y) {
-    // TODO: support broadcast for ne[2 and 3]
-    if (x->ne[0] != y->ne[0]) {
-        return false;
-    }
-    if (x->ne[2] != y->ne[2]) {
-        return false;
-    }
-    if (x->ne[3] != y->ne[3]) {
-        return false;
-    }
-    return true;
-}
 
 static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * sess, const struct ggml_tensor * dst) {
     const struct ggml_tensor * src0 = dst->src[0];
@@ -1919,19 +1865,30 @@ static bool ggml_hexagon_supported_binary(const struct ggml_hexagon_session * se
     const struct ggml_tensor * src1 = op->src[1];
     const struct ggml_tensor * dst  = op;
 
-    if (!hex_supported_src0_type(src0->type)) {
-        return false;
+    if (src0->type == GGML_TYPE_F32) {
+        if (src1->type != GGML_TYPE_F32) {
+            return false;
+        }
+        if (dst->type != GGML_TYPE_F32) {
+            return false;
+        }
     }
-    if (!hex_supported_src1_type(src1->type)) {
-        return false;
+    else if (src0->type == GGML_TYPE_F16) {
+        if (src1->type != GGML_TYPE_F16) {
+            return false;
+        }
+        if (dst->type != GGML_TYPE_F16) {
+            return false;
+        }
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    else {
         return false;
     }
-    if (!hex_supported_dims2(src0, dst)) {
+
+    if (!ggml_are_same_shape(src0, dst)) {
         return false;
     }
-    if (!ggml_can_repeat(src1, src0)) {
+    if (!ggml_can_repeat(src1, src0) || ggml_is_permuted(src1)) {
         return false;
     }
 
@@ -1943,16 +1900,16 @@ static bool ggml_hexagon_supported_add_id(const struct ggml_hexagon_session * se
     const struct ggml_tensor * src1 = op->src[1];
     const struct ggml_tensor * dst  = op;
 
-    if (!hex_supported_src0_type(src0->type)) {
+    if (src0->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_src1_type(src1->type)) {
+    if (src1->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    if (dst->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dims2(src0, dst)) {
+    if (!ggml_are_same_shape(src0, dst)) {
         return false;
     }
 
@@ -1968,13 +1925,13 @@ static bool ggml_hexagon_supported_unary(const struct ggml_hexagon_session * ses
     const struct ggml_tensor * src0 = op->src[0];
     const struct ggml_tensor * dst  = op;
 
-    if (!hex_supported_src0_type(src0->type)) {
+    if (src0->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    if (dst->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dims2(src0, dst)) {
+    if (!ggml_are_same_shape(src0, dst)) {
         return false;
     }
 
@@ -1990,10 +1947,10 @@ static bool ggml_hexagon_supported_sum_rows(const struct ggml_hexagon_session *
     const struct ggml_tensor * src0 = op->src[0];
     const struct ggml_tensor * dst  = op;
 
-    if (!hex_supported_src0_type(src0->type)) {
+    if (src0->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    if (dst->type != GGML_TYPE_F32) {
         return false;
     }
 
@@ -2011,10 +1968,10 @@ static bool ggml_hexagon_supported_activations(const struct ggml_hexagon_session
     const struct ggml_tensor * src1 = op->src[1];
     const struct ggml_tensor * dst  = op;
 
-    if (!hex_supported_src0_type(src0->type)) {
+    if (src0->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    if (dst->type != GGML_TYPE_F32) {
         return false;
     }
 
@@ -2023,10 +1980,10 @@ static bool ggml_hexagon_supported_activations(const struct ggml_hexagon_session
     }
 
     if (src1) {
-        if (!hex_supported_src1_type(src1->type)) {
+        if (src1->type != GGML_TYPE_F32) {
             return false;
         }
-        if (!hex_supported_dims2(src0, src1)) {
+        if (!ggml_are_same_shape(src0, src1)) {
             return false;
         }
         if (!ggml_is_contiguous(src1)) {
@@ -2047,15 +2004,15 @@ static bool ggml_hexagon_supported_softmax(const struct ggml_hexagon_session * s
         return false;  // FIXME: add support for sinks
     }
 
-    if (!hex_supported_src0_type(src0->type)) {
+    if (src0->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    if (dst->type != GGML_TYPE_F32) {
         return false;
     }
 
     if (src1) {
-        if (!hex_supported_src1_type(src1->type) && !hex_supported_src1_type2(src1->type)) {
+        if (src1->type != GGML_TYPE_F32 && src1->type != GGML_TYPE_F16) {
             return false;
         }
         if (src0->ne[0] != src1->ne[0]) {
@@ -2162,17 +2119,17 @@ static bool ggml_hexagon_supported_rope(const struct ggml_hexagon_session * sess
     const struct ggml_tensor * src2 = op->src[2];
     const struct ggml_tensor * dst  = op;
 
-    if (!hex_supported_src0_type(src0->type)) {
+    if (src0->type != GGML_TYPE_F32) {
         return false;  // FIXME: add support for GGML_TYPE_F16 for src0
     }
-    if (!hex_supported_dst_type(dst->type)) {
+    if (dst->type != GGML_TYPE_F32) {
         return false;
     }
-    if (!hex_supported_src1_type3(src1->type)) {
+    if (src1->type != GGML_TYPE_I32) {
         return false;
     }
     if (src2) {
-        if (!hex_supported_src2_type(src2->type)) {
+        if (src2->type != GGML_TYPE_F32) {
             return false;
         }
         int n_dims = op_params[1];
@@ -2195,6 +2152,44 @@ static bool ggml_hexagon_supported_rope(const struct ggml_hexagon_session * sess
     return true;
 }
 
+static bool ggml_hexagon_supported_ssm_conv(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0];
+    const struct ggml_tensor * src1 = op->src[1];
+    const struct ggml_tensor * dst  = op;
+
+    // Only support FP32 for now
+    if (src0->type != GGML_TYPE_F32 || src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
+        return false;
+    }
+
+    // Check IO tensor shapes and dims
+    if (src0->ne[3] != 1 || src1->ne[2] != 1 || src1->ne[3] != 1 || dst->ne[3] != 1) {
+        return false; // src0 should be effectively 3D
+    }
+
+    const int d_conv = src1->ne[0];
+    const int d_inner = src0->ne[1];
+    const int n_t = dst->ne[1];
+    const int n_s = dst->ne[2];
+
+    if (src0->ne[0] != d_conv - 1 + n_t || src0->ne[1] != d_inner || src0->ne[2] != n_s) {
+        return false;
+    }
+    if (src1->ne[0] != d_conv || src1->ne[1] != d_inner) {
+        return false;
+    }
+    if (dst->ne[0] != d_inner || dst->ne[1] != n_t || dst->ne[2] != n_s) {
+        return false;
+    }
+
+    // TODO: add support for non-contiguous tensors
+    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) {
+        return false;
+    }
+
+    return true;
+}
+
 enum dspqbuf_type {
     DSPQBUF_TYPE_DSP_WRITE_CPU_READ = 0,
     DSPQBUF_TYPE_CPU_WRITE_DSP_READ,
@@ -2511,6 +2506,17 @@ static inline size_t init_flash_attn_ext_req(htp_general_req * req, dspqueue_buf
     return n_bufs;
 }
 
+static inline size_t init_ssm_conv_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
+    req->op = HTP_OP_SSM_CONV;
+
+    size_t n_bufs = 0;
+    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
+    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CONSTANT);
+    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
+
+    return n_bufs;
+}
+
 static const char * ggml_backend_hexagon_name(ggml_backend_t backend) {
     auto sess = static_cast<ggml_hexagon_session *>(backend->context);
     return sess->name.c_str();
@@ -2649,6 +2655,10 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
                 ggml_hexagon_dispatch_op<init_argsort_req>(sess, node, flags);
                 break;
 
+            case GGML_OP_SSM_CONV:
+                ggml_hexagon_dispatch_op<init_ssm_conv_req>(sess, node, flags);
+                break;
+
             default:
                 GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(node));
         }
@@ -2724,7 +2734,7 @@ static std::vector<int> ggml_hexagon_graph_optimize_reorder(const std::vector<no
     // The main goal here is to stack the MUL_MAT ops with the same src1 input.
     // This allows use to reuse dynamically quantized src1 in VTCM.
 
-    // TODO: the current version might do incorrect reodering in cases where quantized src0
+    // TODO: the current version might do incorrect reordering in cases where quantized src0
     //       input is an output of another Op.
 
     for (int i0 = 0; i0 < n; i0++) {
@@ -3067,6 +3077,10 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = ggml_hexagon_supported_argsort(sess, op);
             break;
 
+        case GGML_OP_SSM_CONV:
+            supp = ggml_hexagon_supported_ssm_conv(sess, op);
+            break;
+
         default:
             break;
     }
diff --git a/ggml/src/ggml-hexagon/htp-drv.cpp b/ggml/src/ggml-hexagon/htp-drv.cpp
index 2530bb06d6c..4c376b5fc91 100644
--- a/ggml/src/ggml-hexagon/htp-drv.cpp
+++ b/ggml/src/ggml-hexagon/htp-drv.cpp
@@ -282,7 +282,7 @@ static std::string get_driver_path() {
     // Replace \SystemRoot with an absolute path from system ENV windir
     const std::wstring systemRootEnv = L"windir";
 
-    // Query the number of wide charactors this variable requires
+    // Query the number of wide characters this variable requires
     DWORD numWords = GetEnvironmentVariableW(systemRootEnv.c_str(), NULL, 0);
     if (numWords == 0) {
         GGML_LOG_ERROR("ggml-hex: Failed get systemRoot environment variable\n");
diff --git a/ggml/src/ggml-hexagon/htp/CMakeLists.txt b/ggml/src/ggml-hexagon/htp/CMakeLists.txt
index 2c23b60da3d..02d07a503d5 100644
--- a/ggml/src/ggml-hexagon/htp/CMakeLists.txt
+++ b/ggml/src/ggml-hexagon/htp/CMakeLists.txt
@@ -31,6 +31,7 @@ add_library(${HTP_LIB} SHARED
     get-rows-ops.c
     cpy-ops.c
     argsort-ops.c
+    ssm-conv.c
 )
 
 target_compile_definitions(${HTP_LIB} PRIVATE
diff --git a/ggml/src/ggml-hexagon/htp/act-ops.c b/ggml/src/ggml-hexagon/htp/act-ops.c
index 950d836ad34..d8b924981e0 100644
--- a/ggml/src/ggml-hexagon/htp/act-ops.c
+++ b/ggml/src/ggml-hexagon/htp/act-ops.c
@@ -69,27 +69,45 @@
     const uint32_t nb2 = dst->nb[2];   \
     const uint32_t nb3 = dst->nb[3];
 
-static void glu_swiglu_f32_per_thread(const struct htp_tensor * src0,
-                                       const struct htp_tensor * src1,
-                                       struct htp_tensor *       dst,
-                                       const int32_t *           op_params,
-                                       struct htp_spad *         src0_spad,
-                                       struct htp_spad *         src1_spad,
-                                       struct htp_spad *         dst_spad,
-                                       uint32_t                  nth,
-                                       uint32_t                  ith,
-                                       uint32_t                  src0_nrows_per_thread,
-                                       dma_queue *               dma_queue) {
+struct htp_act_context {
+    struct htp_ops_context *  octx;
+
+    // Precomputed values
+    const uint8_t *           data_src0;
+    const uint8_t *           data_src1;
+    uint8_t *                 data_dst;
+
+    size_t                    src0_row_size;
+    size_t                    src1_row_size;
+    size_t                    dst_row_size;
+
+    size_t                    src0_row_size_aligned;
+    size_t                    src1_row_size_aligned;
+    size_t                    dst_row_size_aligned;
+
+    size_t                    src0_spad_half_size;
+    size_t                    src1_spad_half_size;
+    size_t                    dst_spad_half_size;
+
+    uint32_t                  block;
+    uint32_t                  src0_nrows;
+    uint32_t                  src0_nrows_per_thread;
+    int                       nc;
+};
+
+static void glu_swiglu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_act_context * actx = (struct htp_act_context *) data;
+    const struct htp_tensor * src0 = &actx->octx->src0;
+    const struct htp_tensor * src1 = &actx->octx->src1;
+    const struct htp_tensor * dst  = &actx->octx->dst;
     htp_act_preamble3;
 
-    size_t src0_row_size = nb01;
-    size_t src1_row_size = nb11;
-    size_t dst_row_size  = nb1;
-
-
-
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;  // src0 rows
+    size_t src0_row_size = actx->src0_row_size;
+    size_t src1_row_size = actx->src1_row_size;
+    size_t dst_row_size  = actx->dst_row_size;
 
+    const uint32_t src0_nrows = actx->src0_nrows;
+    const uint32_t src0_nrows_per_thread = actx->src0_nrows_per_thread;
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
 
@@ -101,43 +119,34 @@ static void glu_swiglu_f32_per_thread(const struct htp_tensor * src0,
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
 
-    const uint8_t * restrict data_src0 = (const uint8_t *) src0->data;
-    const uint8_t * restrict data_src1 = (const uint8_t *) src1->data;
-    uint8_t * restrict data_dst        = (uint8_t *) dst->data;
-
-    const bool src1_valid = src1->ne[0];
-    const int  nc         = (src1_valid) ? ne00 : ne00 / 2;
-    if (!src1_valid) {
-        const int32_t swapped = op_params[1];
-        data_src1             = data_src0;
-        src1_row_size         = src0_row_size;
+    const uint8_t * restrict data_src0 = actx->data_src0;
+    const uint8_t * restrict data_src1 = actx->data_src1;
+    uint8_t * restrict data_dst        = actx->data_dst;
 
-        const size_t nc_in_bytes = nc * SIZEOF_FP32;
-        data_src0 += swapped ? nc_in_bytes : 0;
-        data_src1 += swapped ? 0 : nc_in_bytes;
-    }
+    const int  nc = actx->nc;
 
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+    const size_t src0_row_size_aligned = actx->src0_row_size_aligned;
+    const size_t src1_row_size_aligned = actx->src1_row_size_aligned;
+    const size_t dst_row_size_aligned  = actx->dst_row_size_aligned;
 
-    uint8_t * restrict src0_spad_data = src0_spad->data + (ith * src0_spad->size_per_thread);
-    uint8_t * restrict src1_spad_data = src1_spad->data + (ith * src1_spad->size_per_thread);
-    uint8_t * restrict dst_spad_data  = dst_spad->data + (ith * dst_spad->size_per_thread);
+    uint8_t * restrict src0_spad_data = actx->octx->src0_spad.data + (ith * actx->octx->src0_spad.size_per_thread);
+    uint8_t * restrict src1_spad_data = actx->octx->src1_spad.data + (ith * actx->octx->src1_spad.size_per_thread);
+    uint8_t * restrict dst_spad_data  = actx->octx->dst_spad.data + (ith * actx->octx->dst_spad.size_per_thread);
 
-    // While given src0_spad->size_per_thread, divide it to two ping-pong buffer for src0
-    size_t src0_spad_half_size = src0_spad->size_per_thread / 2;
-    size_t src1_spad_half_size = src1_spad->size_per_thread / 2;
-    size_t dst_spad_half_size  = dst_spad->size_per_thread / 2;
+    size_t src0_spad_half_size = actx->src0_spad_half_size;
+    size_t src1_spad_half_size = actx->src1_spad_half_size;
+    size_t dst_spad_half_size  = actx->dst_spad_half_size;
 
-    const int BLOCK = src0_spad_half_size / src0_row_size_aligned;  // How many rows can we process in one block
+    const int BLOCK = actx->block;
     if (BLOCK == 0) {
         FARF(ERROR,
              "swiglu-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n",
-             src0_spad->size_per_thread, src0_row_size_aligned);
+             actx->octx->src0_spad.size_per_thread, src0_row_size_aligned);
         return;
     }
 
+    dma_queue * dma_queue = actx->octx->ctx->dma[ith];
+
     // See discussion: https://github.com/ggml-org/llama.cpp/pull/18151#issuecomment-3678235379
     for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
         const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
@@ -196,27 +205,22 @@ static void glu_swiglu_f32_per_thread(const struct htp_tensor * src0,
          (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void glu_swiglu_oai_f32_per_thread(const struct htp_tensor * src0,
-                                           const struct htp_tensor * src1,
-                                           struct htp_tensor *       dst,
-                                           const int32_t *           op_params,
-                                           struct htp_spad *         src0_spad,
-                                           struct htp_spad *         src1_spad,
-                                           struct htp_spad *         dst_spad,
-                                           uint32_t                  nth,
-                                           uint32_t                  ith,
-                                           uint32_t                  src0_nrows_per_thread,
-                                           dma_queue *               dma_queue) {
+static void glu_swiglu_oai_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_act_context * actx = (struct htp_act_context *) data;
+    const struct htp_tensor * src0 = &actx->octx->src0;
+    const struct htp_tensor * src1 = &actx->octx->src1;
+    const struct htp_tensor * dst  = &actx->octx->dst;
     htp_act_preamble3;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
 
-    size_t src0_row_size = nb01;
-    size_t src1_row_size = nb11;
-    size_t dst_row_size  = nb1;
+    size_t src0_row_size = actx->src0_row_size;
+    size_t src1_row_size = actx->src1_row_size;
+    size_t dst_row_size  = actx->dst_row_size;
 
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;  // src0 rows
+    const uint32_t src0_nrows = actx->src0_nrows;
+    const uint32_t src0_nrows_per_thread = actx->src0_nrows_per_thread;
 
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
@@ -226,45 +230,36 @@ static void glu_swiglu_oai_f32_per_thread(const struct htp_tensor * src0,
         return;
     }
 
-    const uint8_t * restrict data_src0 = (const uint8_t *) src0->data;
-    const uint8_t * restrict data_src1 = (const uint8_t *) src1->data;
-    uint8_t * restrict data_dst        = (uint8_t *) dst->data;
+    const uint8_t * restrict data_src0 = actx->data_src0;
+    const uint8_t * restrict data_src1 = actx->data_src1;
+    uint8_t * restrict data_dst        = actx->data_dst;
 
-    const bool src1_valid = src1->ne[0];
-    const int  nc         = (src1_valid) ? ne00 : ne00 / 2;
-    if (!src1_valid) {
-        const int32_t swapped = op_params[1];
-        data_src1             = data_src0;
-        src1_row_size         = src0_row_size;
+    const int nc = actx->nc;
 
-        const size_t nc_in_bytes = nc * SIZEOF_FP32;
-        data_src0 += swapped ? nc_in_bytes : 0;
-        data_src1 += swapped ? 0 : nc_in_bytes;
-    }
+    const size_t src0_row_size_aligned = actx->src0_row_size_aligned;
+    const size_t src1_row_size_aligned = actx->src1_row_size_aligned;
+    const size_t dst_row_size_aligned  = actx->dst_row_size_aligned;
 
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
-
-    uint8_t * restrict src0_spad_data = src0_spad->data + (ith * src0_spad->size_per_thread);
-    uint8_t * restrict src1_spad_data = src1_spad->data + (ith * src1_spad->size_per_thread);
-    uint8_t * restrict dst_spad_data  = dst_spad->data + (ith * dst_spad->size_per_thread);
+    uint8_t * restrict src0_spad_data = actx->octx->src0_spad.data + (ith * actx->octx->src0_spad.size_per_thread);
+    uint8_t * restrict src1_spad_data = actx->octx->src1_spad.data + (ith * actx->octx->src1_spad.size_per_thread);
+    uint8_t * restrict dst_spad_data  = actx->octx->dst_spad.data + (ith * actx->octx->dst_spad.size_per_thread);
 
-    // While given src0_spad->size_per_thread, divide it to two ping-pong buffer for src0
-    size_t src0_spad_half_size = src0_spad->size_per_thread / 2;
-    size_t src1_spad_half_size = src1_spad->size_per_thread / 2;
-    size_t dst_spad_half_size  = dst_spad->size_per_thread / 2;
+    size_t src0_spad_half_size = actx->src0_spad_half_size;
+    size_t src1_spad_half_size = actx->src1_spad_half_size;
+    size_t dst_spad_half_size  = actx->dst_spad_half_size;
 
-    const int BLOCK = src0_spad_half_size / src0_row_size_aligned;  // How many rows can we process in one block
+    const int BLOCK = actx->block;
     if (BLOCK == 0) {
         FARF(ERROR,
              "swiglu-oai-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least "
              "%zu\n",
-             src0_spad->size_per_thread, src0_row_size_aligned);
+             actx->octx->src0_spad.size_per_thread, src0_row_size_aligned);
         return;
     }
-    const float alpha = ((const float *) (op_params))[2];
-    const float limit = ((const float *) (op_params))[3];
+    const float alpha = ((const float *) (actx->octx->op_params))[2];
+    const float limit = ((const float *) (actx->octx->op_params))[3];
+
+    dma_queue * dma_queue = actx->octx->ctx->dma[ith];
 
     // See discussion: https://github.com/ggml-org/llama.cpp/pull/18151#issuecomment-3678235379
     for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
@@ -335,26 +330,22 @@ static void glu_swiglu_oai_f32_per_thread(const struct htp_tensor * src0,
 }
 
 
-static void unary_gelu_f32_per_thread(const struct htp_tensor * src0,
-                                       struct htp_tensor *       dst,
-                                       const int32_t *           op_params,
-                                       struct htp_spad *         src0_spad,
-                                       struct htp_spad *         dst_spad,
-                                       uint32_t                  nth,
-                                       uint32_t                  ith,
-                                       uint32_t                  src0_nrows_per_thread,
-                                       dma_queue *               dma_queue) {
+static void unary_gelu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_act_context * actx = (struct htp_act_context *) data;
+    const struct htp_tensor * src0 = &actx->octx->src0;
+    const struct htp_tensor * dst  = &actx->octx->dst;
     htp_act_preamble2;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
 
-    const size_t src0_row_size = nb01;
-    const size_t dst_row_size  = nb1;
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+    const size_t src0_row_size = actx->src0_row_size;
+    const size_t dst_row_size  = actx->dst_row_size;
+    const size_t src0_row_size_aligned = actx->src0_row_size_aligned;
+    const size_t dst_row_size_aligned  = actx->dst_row_size_aligned;
 
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;
+    const uint32_t src0_nrows = actx->src0_nrows;
+    const uint32_t src0_nrows_per_thread = actx->src0_nrows_per_thread;
 
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
@@ -364,25 +355,29 @@ static void unary_gelu_f32_per_thread(const struct htp_tensor * src0,
         return;
     }
 
-    const uint8_t * data_src0 = (const uint8_t *) src0->data;
-    uint8_t * data_dst        = (uint8_t *) dst->data;
+    const uint8_t * data_src0 = actx->data_src0;
+    uint8_t * data_dst        = actx->data_dst;
 
-    uint8_t * src0_spad_data = src0_spad->data + (ith * src0_spad->size_per_thread);
-    uint8_t * dst_spad_data  = dst_spad->data  + (ith * dst_spad->size_per_thread);
+    // nc/ne0 matches.
+    const int ne0_val = actx->nc; // == dst->ne[0]
 
-    // While given src0_spad->size_per_thread, divide it to two ping-pong buffer for src0
-    size_t src0_spad_half_size = src0_spad->size_per_thread / 2;
-    size_t dst_spad_half_size  = dst_spad->size_per_thread  / 2;
+    uint8_t * src0_spad_data = actx->octx->src0_spad.data + (ith * actx->octx->src0_spad.size_per_thread);
+    uint8_t * dst_spad_data  = actx->octx->dst_spad.data  + (ith * actx->octx->dst_spad.size_per_thread);
+
+    size_t src0_spad_half_size = actx->src0_spad_half_size;
+    size_t dst_spad_half_size  = actx->dst_spad_half_size;
 
     // In gelu = x*sigmoid(x*1.702)
-    const int BLOCK = src0_spad_half_size / src0_row_size_aligned; // How many rows can we process in one block
+    const int BLOCK = actx->block;
 
     if (BLOCK == 0) {
         FARF(ERROR, "gelu-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n",
-                src0_spad->size_per_thread, src0_row_size_aligned);
+                actx->octx->src0_spad.size_per_thread, src0_row_size_aligned);
         return;
     }
 
+    dma_queue * dma_queue = actx->octx->ctx->dma[ith];
+
     // See discussion: https://github.com/ggml-org/llama.cpp/pull/18151#issuecomment-3678235379
     for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
         const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
@@ -408,9 +403,9 @@ static void unary_gelu_f32_per_thread(const struct htp_tensor * src0,
             float* dst_spad_ptr        = dst_spad  + ib * (dst_row_size_aligned  / sizeof(float));
 
             // gelu = x * sigmoid(1.702 * x) // current implementation
-            hvx_mul_scalar_f32((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, (float) 1.702, ne0);
-            hvx_sigmoid_f32_aa((uint8_t *) dst_spad_ptr, (const uint8_t *) dst_spad_ptr, ne0);
-            hvx_mul_f32_aaa((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, (const uint8_t *) dst_spad_ptr, ne0);
+            hvx_mul_scalar_f32((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, (float) 1.702, ne0_val);
+            hvx_sigmoid_f32_aa((uint8_t *) dst_spad_ptr, (const uint8_t *) dst_spad_ptr, ne0_val);
+            hvx_mul_f32_aaa((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, (const uint8_t *) dst_spad_ptr, ne0_val);
         }
 
         dma_queue_push_vtcm_to_ddr(dma_queue,
@@ -435,34 +430,23 @@ static void unary_gelu_f32_per_thread(const struct htp_tensor * src0,
          ne03, src0_start_row, src0_end_row, ne0, ne1, ne2, ne3, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void unary_gelu_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = (struct htp_ops_context *) data;
-    unary_gelu_f32_per_thread(&octx->src0, &octx->dst, octx->op_params, &octx->src0_spad, &octx->dst_spad, n, i,
-                               octx->src0_nrows_per_thread, octx->ctx->dma[i]);
-}
-
 
-
-static void unary_silu_f32_per_thread(const struct htp_tensor * src0,
-                                       struct htp_tensor *       dst,
-                                       const int32_t *           op_params,
-                                       struct htp_spad *         src0_spad,
-                                       struct htp_spad *         dst_spad,
-                                       uint32_t                  nth,
-                                       uint32_t                  ith,
-                                       uint32_t                  src0_nrows_per_thread,
-                                       dma_queue *               dma_queue) {
+static void unary_silu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_act_context * actx = (struct htp_act_context *) data;
+    const struct htp_tensor * src0 = &actx->octx->src0;
+    const struct htp_tensor * dst  = &actx->octx->dst;
     htp_act_preamble2;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
 
-    const size_t src0_row_size = nb01;
-    const size_t dst_row_size  = nb1;
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+    const size_t src0_row_size = actx->src0_row_size;
+    const size_t dst_row_size  = actx->dst_row_size;
+    const size_t src0_row_size_aligned = actx->src0_row_size_aligned;
+    const size_t dst_row_size_aligned  = actx->dst_row_size_aligned;
 
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;
+    const uint32_t src0_nrows = actx->src0_nrows;
+    const uint32_t src0_nrows_per_thread = actx->src0_nrows_per_thread;
 
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
@@ -472,24 +456,27 @@ static void unary_silu_f32_per_thread(const struct htp_tensor * src0,
         return;
     }
 
-    const uint8_t * data_src0 = (const uint8_t *) src0->data;
-    uint8_t * data_dst        = (uint8_t *) dst->data;
+    const uint8_t * data_src0 = actx->data_src0;
+    uint8_t * data_dst        = actx->data_dst;
+
+    const int ne0_val = actx->nc; // == dst->ne[0]
 
-    uint8_t * src0_spad_data = src0_spad->data + (ith * src0_spad->size_per_thread);
-    uint8_t * dst_spad_data  = dst_spad->data  + (ith * dst_spad->size_per_thread);
+    uint8_t * src0_spad_data = actx->octx->src0_spad.data + (ith * actx->octx->src0_spad.size_per_thread);
+    uint8_t * dst_spad_data  = actx->octx->dst_spad.data  + (ith * actx->octx->dst_spad.size_per_thread);
 
-    // While given src0_spad->size_per_thread, divide it to two ping-pong buffer for src0
-    size_t src0_spad_half_size = src0_spad->size_per_thread / 2;
-    size_t dst_spad_half_size  = dst_spad->size_per_thread  / 2;
+    size_t src0_spad_half_size = actx->src0_spad_half_size;
+    size_t dst_spad_half_size  = actx->dst_spad_half_size;
 
-    const int BLOCK = src0_spad_half_size / src0_row_size_aligned; // How many rows can we process in one block
+    const int BLOCK = actx->block;
 
     if (BLOCK == 0) {
         FARF(ERROR, "silu-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n",
-                src0_spad->size_per_thread, src0_row_size_aligned);
+                actx->octx->src0_spad.size_per_thread, src0_row_size_aligned);
         return;
     }
 
+    dma_queue * dma_queue = actx->octx->ctx->dma[ith];
+
     // See discussion: https://github.com/ggml-org/llama.cpp/pull/18151#issuecomment-3678235379
     for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
         const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
@@ -515,8 +502,8 @@ static void unary_silu_f32_per_thread(const struct htp_tensor * src0,
             float* dst_spad_ptr        = dst_spad  + ib * (dst_row_size_aligned  / sizeof(float));
 
             // silu = x * sigmoid(x)
-            hvx_sigmoid_f32_aa((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, ne0);
-            hvx_mul_f32_aaa((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, (const uint8_t *) dst_spad_ptr, ne0);
+            hvx_sigmoid_f32_aa((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, ne0_val);
+            hvx_mul_f32_aaa((uint8_t *) dst_spad_ptr, (const uint8_t *) src0_spad_ptr, (const uint8_t *) dst_spad_ptr, ne0_val);
         }
 
         dma_queue_push_vtcm_to_ddr(dma_queue,
@@ -544,27 +531,22 @@ static void unary_silu_f32_per_thread(const struct htp_tensor * src0,
 static const float GELU_COEF_A     = 0.044715f;
 static const float SQRT_2_OVER_PI  = 0.79788456080286535587989211986876f;
 
-static void glu_geglu_f32_per_thread(const struct htp_tensor * src0,
-                                       const struct htp_tensor * src1,
-                                       struct htp_tensor *       dst,
-                                       const int32_t *           op_params,
-                                       struct htp_spad *         src0_spad,
-                                       struct htp_spad *         src1_spad,
-                                       struct htp_spad *         dst_spad,
-                                       uint32_t                  nth,
-                                       uint32_t                  ith,
-                                       uint32_t                  src0_nrows_per_thread,
-                                       dma_queue *               dma_queue) {
+static void glu_geglu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_act_context * actx = (struct htp_act_context *) data;
+    const struct htp_tensor * src0 = &actx->octx->src0;
+    const struct htp_tensor * src1 = &actx->octx->src1;
+    const struct htp_tensor * dst  = &actx->octx->dst;
     htp_act_preamble3;
 
-    size_t src0_row_size = nb01;
-    size_t src1_row_size = nb11;
-    size_t dst_row_size  = nb1;
+    size_t src0_row_size = actx->src0_row_size;
+    size_t src1_row_size = actx->src1_row_size;
+    size_t dst_row_size  = actx->dst_row_size;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
 
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;  // src0 rows
+    const uint32_t src0_nrows = actx->src0_nrows;
+    const uint32_t src0_nrows_per_thread = actx->src0_nrows_per_thread;
 
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
@@ -574,43 +556,34 @@ static void glu_geglu_f32_per_thread(const struct htp_tensor * src0,
         return;
     }
 
-    const uint8_t * restrict data_src0 = (const uint8_t *) src0->data;
-    const uint8_t * restrict data_src1 = (const uint8_t *) src1->data;
-    uint8_t * restrict data_dst        = (uint8_t *) dst->data;
-
-    const bool src1_valid = src1->ne[0];
-    const int  nc         = (src1_valid) ? ne00 : ne00 / 2;
-    if (!src1_valid) {
-        const int32_t swapped = op_params[1];
-        data_src1             = data_src0;
-        src1_row_size         = src0_row_size;
+    const uint8_t * restrict data_src0 = actx->data_src0;
+    const uint8_t * restrict data_src1 = actx->data_src1;
+    uint8_t * restrict data_dst        = actx->data_dst;
 
-        const size_t nc_in_bytes = nc * SIZEOF_FP32;
-        data_src0 += swapped ? nc_in_bytes : 0;
-        data_src1 += swapped ? 0 : nc_in_bytes;
-    }
+    const int nc = actx->nc;
 
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+    const size_t src0_row_size_aligned = actx->src0_row_size_aligned;
+    const size_t src1_row_size_aligned = actx->src1_row_size_aligned;
+    const size_t dst_row_size_aligned  = actx->dst_row_size_aligned;
 
-    uint8_t * restrict src0_spad_data = src0_spad->data + (ith * src0_spad->size_per_thread);
-    uint8_t * restrict src1_spad_data = src1_spad->data + (ith * src1_spad->size_per_thread);
-    uint8_t * restrict dst_spad_data  = dst_spad->data + (ith * dst_spad->size_per_thread);
+    uint8_t * restrict src0_spad_data = actx->octx->src0_spad.data + (ith * actx->octx->src0_spad.size_per_thread);
+    uint8_t * restrict src1_spad_data = actx->octx->src1_spad.data + (ith * actx->octx->src1_spad.size_per_thread);
+    uint8_t * restrict dst_spad_data  = actx->octx->dst_spad.data + (ith * actx->octx->dst_spad.size_per_thread);
 
-    // While given src0_spad->size_per_thread, divide it to two ping-pong buffer for src0
-    size_t src0_spad_half_size = src0_spad->size_per_thread / 2;
-    size_t src1_spad_half_size = src1_spad->size_per_thread / 2;
-    size_t dst_spad_half_size  = dst_spad->size_per_thread / 2;
+    size_t src0_spad_half_size = actx->src0_spad_half_size;
+    size_t src1_spad_half_size = actx->src1_spad_half_size;
+    size_t dst_spad_half_size  = actx->dst_spad_half_size;
 
-    const int BLOCK = src0_spad_half_size / src0_row_size_aligned;  // How many rows can we process in one block
+    const int BLOCK = actx->block;
     if (BLOCK == 0) {
         FARF(ERROR,
              "geglu-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n",
-             src0_spad->size_per_thread, src0_row_size_aligned);
+             actx->octx->src0_spad.size_per_thread, src0_row_size_aligned);
         return;
     }
 
+    dma_queue * dma_queue = actx->octx->ctx->dma[ith];
+
     // See discussion: https://github.com/ggml-org/llama.cpp/pull/18151#issuecomment-3678235379
     for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
         const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
@@ -678,33 +651,7 @@ static void glu_geglu_f32_per_thread(const struct htp_tensor * src0,
          (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void unary_silu_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = (struct htp_ops_context *) data;
-    unary_silu_f32_per_thread(&octx->src0, &octx->dst, octx->op_params, &octx->src0_spad, &octx->dst_spad, n, i,
-                               octx->src0_nrows_per_thread, octx->ctx->dma[i]);
-}
-
-static void glu_swiglu_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = (struct htp_ops_context *) data;
-    glu_swiglu_f32_per_thread(&octx->src0, &octx->src1, &octx->dst, octx->op_params, &octx->src0_spad,
-                               &octx->src1_spad, &octx->dst_spad, n, i, octx->src0_nrows_per_thread, octx->ctx->dma[i]);
-}
-
-static void glu_swiglu_oai_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = (struct htp_ops_context *) data;
-    glu_swiglu_oai_f32_per_thread(&octx->src0, &octx->src1, &octx->dst, octx->op_params, &octx->src0_spad,
-                                   &octx->src1_spad, &octx->dst_spad, n, i, octx->src0_nrows_per_thread, octx->ctx->dma[i]);
-}
-
-static void glu_geglu_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = (struct htp_ops_context *) data;
-    glu_geglu_f32_per_thread(&octx->src0, &octx->src1, &octx->dst, octx->op_params, &octx->src0_spad,
-                               &octx->src1_spad, &octx->dst_spad, n, i, octx->src0_nrows_per_thread, octx->ctx->dma[i]);
-}
-
 static int execute_op_activations_f32(struct htp_ops_context * octx) {
-    int err = HTP_STATUS_OK;
-
     const struct htp_tensor * src0 = &octx->src0;
     const struct htp_tensor * src1 = &octx->src1;
     struct htp_tensor *       dst  = &octx->dst;
@@ -719,26 +666,26 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
 
     switch (octx->op) {
         case HTP_OP_UNARY_SILU:
-            act_op_func = unary_silu_f32;
+            act_op_func = (worker_callback_t)unary_silu_f32_per_thread;
             op_type     = "silu-f32";
             break;
 
         case HTP_OP_GLU_SWIGLU:
-            act_op_func = glu_swiglu_f32;
+            act_op_func = (worker_callback_t)glu_swiglu_f32_per_thread;
             op_type     = "swiglu-f32";
             break;
 
         case HTP_OP_GLU_SWIGLU_OAI:
-            act_op_func = glu_swiglu_oai_f32;
+            act_op_func = (worker_callback_t)glu_swiglu_oai_f32_per_thread;
             op_type     = "swiglu-oai-f32";
             break;
         case HTP_OP_UNARY_GELU:
-            act_op_func = unary_gelu_f32;
+            act_op_func = (worker_callback_t)unary_gelu_f32_per_thread;
             op_type     = "gelu-f32";
             break;
 
         case HTP_OP_GLU_GEGLU:
-            act_op_func = glu_geglu_f32;
+            act_op_func = (worker_callback_t)glu_geglu_f32_per_thread;
             op_type     = "geglu-f32";
             break;
         default:
@@ -746,8 +693,8 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
             return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t n_threads  = octx->n_threads;
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     size_t src0_row_size = src0->nb[1];
     size_t src1_row_size = src1->nb[1]; // zero bytes if src1 is not used
@@ -797,13 +744,56 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
              octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size);
     }
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        uint32_t n_jobs = MIN(n_threads, src0_nrows);
-        octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
-        worker_pool_run_func(octx->ctx->worker_pool, act_op_func, octx, n_jobs);
+    if ((octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
+        return HTP_STATUS_OK;
     }
 
-    return err;
+    // Prepare context
+    struct htp_act_context actx;
+    actx.octx = octx;
+
+    actx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
+
+    actx.src0_row_size = src0_row_size;
+    actx.src1_row_size = src1_row_size;
+    actx.dst_row_size  = dst_row_size;
+
+    actx.src0_row_size_aligned = src0_row_size_aligned;
+    actx.src1_row_size_aligned = src1_row_size_aligned;
+    actx.dst_row_size_aligned  = dst_row_size_aligned;
+
+    actx.src0_spad_half_size = octx->src0_spad.size_per_thread / 2;
+    actx.src1_spad_half_size = octx->src1_spad.size_per_thread / 2;
+    actx.dst_spad_half_size  = octx->dst_spad.size_per_thread / 2;
+
+    actx.block = actx.src0_spad_half_size / actx.src0_row_size_aligned;
+    actx.src0_nrows = src0_nrows;
+
+    actx.nc = dst->ne[0];
+
+    // Pointers and GLU logic
+    const uint8_t * data_src0 = (const uint8_t *) src0->data;
+    const uint8_t * data_src1 = (const uint8_t *) src1->data;
+
+    if (!src1_valid && (octx->op == HTP_OP_GLU_SWIGLU || octx->op == HTP_OP_GLU_SWIGLU_OAI || octx->op == HTP_OP_GLU_GEGLU)) {
+         const int32_t swapped = octx->op_params[1];
+         data_src1 = data_src0;
+         actx.src1_row_size = actx.src0_row_size;
+
+         size_t nc_in_bytes = actx.nc * SIZEOF_FP32;
+         if (swapped) {
+             data_src0 += nc_in_bytes;
+         } else {
+             data_src1 += nc_in_bytes;
+         }
+    }
+
+    actx.data_src0 = data_src0;
+    actx.data_src1 = data_src1;
+    actx.data_dst  = (uint8_t *) dst->data;
+
+    worker_pool_run_func(octx->ctx->worker_pool, act_op_func, &actx, n_threads);
+    return HTP_STATUS_OK;
 }
 
 int op_activations(struct htp_ops_context * octx) {
diff --git a/ggml/src/ggml-hexagon/htp/argsort-ops.c b/ggml/src/ggml-hexagon/htp/argsort-ops.c
index a4cee980be8..170220e8f80 100644
--- a/ggml/src/ggml-hexagon/htp/argsort-ops.c
+++ b/ggml/src/ggml-hexagon/htp/argsort-ops.c
@@ -241,6 +241,9 @@ int op_argsort(struct htp_ops_context * octx) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
+    const uint32_t total_rows = octx->src0.ne[1] * octx->src0.ne[2] * octx->src0.ne[3];
+    const uint32_t n_threads = MIN(total_rows, octx->n_threads);
+
     // Allocate scratchpad
     // We need 1 row of float + 1 row of int32 per thread.
     uint32_t ne00 = octx->src0.ne[0];
@@ -251,7 +254,7 @@ int op_argsort(struct htp_ops_context * octx) {
     // Make sure we round up to 256 for alignment requirements
     spad_per_thread = hex_round_up(spad_per_thread, 256);
 
-    size_t total_spad_size = spad_per_thread * octx->n_threads;
+    size_t total_spad_size = spad_per_thread * n_threads;
 
     if (octx->ctx->vtcm_size < total_spad_size) {
         FARF(ERROR, "argsort: VTCM size too small. Needed %zu, have %zu", total_spad_size, octx->ctx->vtcm_size);
@@ -267,15 +270,12 @@ int op_argsort(struct htp_ops_context * octx) {
          octx->dst.ne[0], octx->dst.ne[1], octx->dst.ne[2], octx->dst.ne[3],
          octx->src0.data, octx->dst.data);
 
-    uint32_t total_rows = octx->src0.ne[1] * octx->src0.ne[2] * octx->src0.ne[3];
-    uint32_t n_jobs = MIN(total_rows, octx->n_threads);
-
     struct htp_argsort_context actx;
     actx.octx = octx;
-    actx.nrows_per_thread = (total_rows + n_jobs - 1) / n_jobs;
+    actx.nrows_per_thread = (total_rows + n_threads - 1) / n_threads;
 
     // Run jobs
-    worker_pool_run_func(octx->ctx->worker_pool, htp_argsort_f32, &actx, n_jobs);
+    worker_pool_run_func(octx->ctx->worker_pool, htp_argsort_f32, &actx, n_threads);
 
     return HTP_STATUS_OK;
 }
diff --git a/ggml/src/ggml-hexagon/htp/binary-ops.c b/ggml/src/ggml-hexagon/htp/binary-ops.c
index 00dbcf87986..ec90f22de52 100644
--- a/ggml/src/ggml-hexagon/htp/binary-ops.c
+++ b/ggml/src/ggml-hexagon/htp/binary-ops.c
@@ -95,43 +95,87 @@ static inline uint32_t calc_block_size(struct htp_binary_context * bctx, uint32_
 }
 
 // Macro for scalar op switch
-#define COMPUTE_SCALAR_OP(DST, SRC, VAL, N) \
-    switch (octx->op) { \
-        case HTP_OP_ADD: hvx_add_scalar_f32_aa(DST, SRC, VAL, N); break; \
-        case HTP_OP_SUB: hvx_sub_scalar_f32_aa(DST, SRC, VAL, N); break; \
-        case HTP_OP_MUL: hvx_mul_scalar_f32_aa(DST, SRC, VAL, N); break; \
-        case HTP_OP_DIV: hvx_mul_scalar_f32_aa(DST, SRC, 1.0f / (VAL), N); break; \
-        default: break; \
+#define COMPUTE_SCALAR_OP(DST, SRC, VAL, TYPE, N) \
+    if(TYPE == HTP_TYPE_F32) { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_scalar_f32_aa(DST, SRC, *(float *)VAL, N); break; \
+            case HTP_OP_SUB: hvx_sub_scalar_f32_aa(DST, SRC, *(float *)VAL, N); break; \
+            case HTP_OP_MUL: hvx_mul_scalar_f32_aa(DST, SRC, *(float *)VAL, N); break; \
+            case HTP_OP_DIV: hvx_mul_scalar_f32_aa(DST, SRC, 1.0f / (*(float *)VAL), N); break; \
+            default: break; \
+        } \
+    } \
+    else { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
+            case HTP_OP_SUB: hvx_sub_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
+            case HTP_OP_MUL: hvx_mul_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
+            case HTP_OP_DIV: hvx_div_scalar_f16_aa(DST, SRC, *(_Float16 *)VAL, N); break; \
+            default: break; \
+        } \
     }
 
 // Macro for vector op switch (All Aligned)
-#define COMPUTE_VECTOR_OP_AAA(DST, SRC0, SRC1, N) \
-    switch (octx->op) { \
-        case HTP_OP_ADD: hvx_add_f32_aaa(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_SUB: hvx_sub_f32_aaa(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_MUL: hvx_mul_f32_aaa(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_DIV: hvx_div_f32_aaa(DST, SRC0, SRC1, N); break; \
-        default: break; \
+#define COMPUTE_VECTOR_OP_AAA(DST, SRC0, SRC1, TYPE, N) \
+    if(TYPE == HTP_TYPE_F32) { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_f32_aaa(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_SUB: hvx_sub_f32_aaa(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_MUL: hvx_mul_f32_aaa(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_DIV: hvx_div_f32_aaa(DST, SRC0, SRC1, N); break; \
+            default: break; \
+        } \
+    } \
+    else { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_f16_aaa(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_SUB: hvx_sub_f16_aaa(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_MUL: hvx_mul_f16_aaa(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_DIV: hvx_div_f16_aaa(DST, SRC0, SRC1, N); break; \
+            default: break; \
+        } \
     }
 
 // Macro for vector op switch (Dst Aligned, Src0 Aligned, Src1 Unaligned)
-#define COMPUTE_VECTOR_OP_AAU(DST, SRC0, SRC1, N) \
-    switch (octx->op) { \
-        case HTP_OP_ADD: hvx_add_f32_aau(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_SUB: hvx_sub_f32_aau(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_MUL: hvx_mul_f32_aau(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_DIV: hvx_div_f32_aau(DST, SRC0, SRC1, N); break; \
-        default: break; \
+#define COMPUTE_VECTOR_OP_AAU(DST, SRC0, SRC1, TYPE, N) \
+    if(TYPE == HTP_TYPE_F32) { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_f32_aau(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_SUB: hvx_sub_f32_aau(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_MUL: hvx_mul_f32_aau(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_DIV: hvx_div_f32_aau(DST, SRC0, SRC1, N); break; \
+            default: break; \
+        } \
+    } \
+    else { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_f16_aau(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_SUB: hvx_sub_f16_aau(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_MUL: hvx_mul_f16_aau(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_DIV: hvx_div_f16_aau(DST, SRC0, SRC1, N); break; \
+            default: break; \
+        } \
     }
 
 // Macro for vector op switch (All Unaligned - generic loop used in element repeat)
-#define COMPUTE_VECTOR_OP_UUU(DST, SRC0, SRC1, N) \
-    switch (octx->op) { \
-        case HTP_OP_ADD: hvx_add_f32_uuu(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_SUB: hvx_sub_f32_uuu(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_MUL: hvx_mul_f32_uuu(DST, SRC0, SRC1, N); break; \
-        case HTP_OP_DIV: hvx_div_f32_uuu(DST, SRC0, SRC1, N); break; \
-        default: break; \
+#define COMPUTE_VECTOR_OP_UUU(DST, SRC0, SRC1, TYPE, N) \
+    if(TYPE == HTP_TYPE_F32) { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_f32_uuu(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_SUB: hvx_sub_f32_uuu(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_MUL: hvx_mul_f32_uuu(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_DIV: hvx_div_f32_uuu(DST, SRC0, SRC1, N); break; \
+            default: break; \
+        } \
+    } \
+    else { \
+        switch (octx->op) { \
+            case HTP_OP_ADD: hvx_add_f16_uuu(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_SUB: hvx_sub_f16_uuu(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_MUL: hvx_mul_f16_uuu(DST, SRC0, SRC1, N); break; \
+            case HTP_OP_DIV: hvx_div_f16_uuu(DST, SRC0, SRC1, N); break; \
+            default: break; \
+        } \
     }
 
 // 1. Scalar src1 (ne10 == 1)
@@ -140,6 +184,8 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
+    const uint32_t src0_type = octx->src0.type;
+    const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
@@ -170,7 +216,7 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
         dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
-        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
     }
@@ -199,13 +245,12 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
         for (uint32_t r = 0; r < current_block_size; r++) {
             uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
             uint8_t * r_dst  = d_spad + r * bctx->dst_row_size_aligned;
-            float val = *(float *)src1_ptr;
+            COMPUTE_SCALAR_OP(r_dst, r_src0, src1_ptr, src0_type, ne00);
             src1_ptr += s1_stride;
-            COMPUTE_SCALAR_OP(r_dst, r_src0, val, ne00);
         }
 
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
-        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
@@ -216,7 +261,7 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
              p01 = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
 
-             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
+             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
         }
         ir += current_block_size;
@@ -230,6 +275,8 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
+    const uint32_t src0_type = octx->src0.type;
+    const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
@@ -268,8 +315,8 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
         dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
-        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
-        dma_queue_push(q, dma_make_ptr(s1_spad, src1_base), bctx->src1_row_size_aligned, bctx->src1_dma_stride, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
+        dma_queue_push(q, dma_make_ptr(s1_spad, src1_base), bctx->src1_row_size_aligned, bctx->src1_dma_stride, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
     }
@@ -284,7 +331,7 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
             uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
             uint8_t * r_src1 = s1_spad + r * bctx->src1_row_size_aligned;
             uint8_t * r_dst  = d_spad  + r * bctx->dst_row_size_aligned;
-            COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, ne00);
+            COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, src0_type, ne00);
         }
 
         uint32_t i03, i02, i01, rem;
@@ -293,7 +340,7 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
         i02 = fastdiv(rem, &bctx->dim1_div);
         i01 = rem - i02 * ne01;
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
-        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
@@ -310,8 +357,8 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
              uint8_t * s1_next = (uint8_t *)src1->data + p13 * nb13 + p12 * nb12 + p11 * nb11;
 
-             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
-             dma_queue_push(q, dma_make_ptr(s1_spad, s1_next), bctx->src1_row_size_aligned, bctx->src1_dma_stride, ne00 * sizeof(float), next_block_size);
+             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
+             dma_queue_push(q, dma_make_ptr(s1_spad, s1_next), bctx->src1_row_size_aligned, bctx->src1_dma_stride, row_size_bytes, next_block_size);
 
              ir_prefetch += next_block_size;
         }
@@ -326,6 +373,8 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
+    const uint32_t src0_type = octx->src0.type;
+    const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
@@ -359,7 +408,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
         dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
-        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
     }
@@ -373,7 +422,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
             uint8_t * r_src0 = s0_spad + r * bctx->src0_row_size_aligned;
             uint8_t * r_src1 = (uint8_t *)s1_ptr; // Constant
             uint8_t * r_dst  = d_spad + r * bctx->dst_row_size_aligned;
-            COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, ne00);
+            COMPUTE_VECTOR_OP_AAA(r_dst, r_src0, r_src1, src0_type, ne00);
         }
 
         uint32_t i03, i02, i01, rem;
@@ -382,7 +431,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
         i02 = fastdiv(rem, &bctx->dim1_div);
         i01 = rem - i02 * ne01;
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
-        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
@@ -392,7 +441,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
              p02 = fastdiv(prem, &bctx->dim1_div);
              p01 = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
-             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
+             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
         }
         ir += current_block_size;
@@ -406,6 +455,8 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
+    const uint32_t src0_type = octx->src0.type;
+    const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
@@ -435,7 +486,7 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
         dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
-        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
     }
@@ -462,11 +513,11 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
             uint8_t * r_dst  = d_spad + r * bctx->dst_row_size_aligned;
 
             // Read src1 from DDR (unaligned)
-            COMPUTE_VECTOR_OP_AAU(r_dst, r_src0, r_src1, ne00);
+            COMPUTE_VECTOR_OP_AAU(r_dst, r_src0, r_src1, src0_type, ne00);
         }
 
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
-        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
@@ -476,7 +527,7 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
              p02 = fastdiv(prem, &bctx->dim1_div);
              p01 = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
-             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
+             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
         }
         ir += current_block_size;
@@ -490,6 +541,9 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
+    const uint32_t src0_type = octx->src0.type;
+    const uint32_t elem_size_bytes = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
+    const uint32_t row_size_bytes = ne00 * elem_size_bytes;;
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
     const uint32_t end_row   = MIN(start_row + bctx->nrows_per_thread, total_rows);
@@ -519,7 +573,7 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
         uint8_t * d_spad  = dst_spad_base  + spad_idx * dst_spad_half;
 
         dma_queue_push_vtcm_to_ddr(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, 0);
-        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(s0_spad, src0_curr), bctx->src0_row_size_aligned, nb01, row_size_bytes, current_block_size);
         ir_prefetch += current_block_size;
         spad_idx ^= 1;
     }
@@ -549,12 +603,12 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
             for (uint32_t c = 0; c < ne00; c += ne10) {
                 uint32_t len = MIN(ne10, ne00 - c);
                 // Use UUU for speed and simplicity
-                COMPUTE_VECTOR_OP_UUU(r_dst + c * sizeof(float), r_src0 + c * sizeof(float), r_src1_row, len);
+                COMPUTE_VECTOR_OP_UUU(r_dst + c * elem_size_bytes, r_src0 + c * elem_size_bytes, r_src1_row, src0_type, len);
             }
         }
 
         uint8_t * dst_curr = (uint8_t *)dst->data + i03 * nb3 + i02 * nb2 + i01 * nb1;
-        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, ne00 * sizeof(float), current_block_size);
+        dma_queue_push(q, dma_make_ptr(dst_curr, d_spad), nb1, bctx->dst_row_size_aligned, row_size_bytes, current_block_size);
 
         if (ir_prefetch < end_row) {
              uint32_t next_block_size = calc_block_size(bctx, ir_prefetch, end_row, ne01, ne02);
@@ -564,7 +618,7 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
              p02 = fastdiv(prem, &bctx->dim1_div);
              p01 = prem - p02 * ne01;
              uint8_t * s0_next = (uint8_t *)src0->data + p03 * nb03 + p02 * nb02 + p01 * nb01;
-             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, ne00 * sizeof(float), next_block_size);
+             dma_queue_push(q, dma_make_ptr(s0_spad, s0_next), bctx->src0_row_size_aligned, nb01, row_size_bytes, next_block_size);
              ir_prefetch += next_block_size;
         }
         ir += current_block_size;
@@ -672,18 +726,20 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
     dma_queue_flush(q);
 }
 
-static int execute_op_binary_f32(struct htp_ops_context * octx) {
+static int execute_op_binary(struct htp_ops_context * octx) {
     const struct htp_tensor * src0 = &octx->src0;
     const struct htp_tensor * src1 = &octx->src1;
     struct htp_tensor *       dst  = &octx->dst;
 
-    const uint32_t n_threads  = octx->n_threads;
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     // Use packed row sizes for VTCM allocation
-    const size_t src0_row_size = src0->ne[0] * sizeof(float);
-    const size_t src1_row_size = src1->ne[0] * sizeof(float);
-    const size_t dst_row_size  = dst->ne[0] * sizeof(float);
+    const uint32_t src0_type = octx->src0.type;
+    const size_t elem_size = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
+    const size_t src0_row_size = src0->ne[0] * elem_size;
+    const size_t src1_row_size = src1->ne[0] * elem_size;
+    const size_t dst_row_size  = dst->ne[0] * elem_size;
 
     // Align to VLEN
     const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
@@ -694,7 +750,7 @@ static int execute_op_binary_f32(struct htp_ops_context * octx) {
     bool is_scalar = !is_add_id && (src1->ne[0] == 1);
 
     // Determine which kernel we will use to alloc memory and dispatch
-    bool use_vector_same = !is_add_id && !is_scalar && src1->ne[0] == src0->ne[0] &&
+    bool use_vector_same = !is_add_id && !is_scalar && ((src0->nb[1] % VLEN) == 0) && (src1->ne[0] == src0->ne[0]) &&
                (src1->ne[1] == src0->ne[1] || src1->ne[1] == 1) &&
                (src1->ne[2] == src0->ne[2] || src1->ne[2] == 1) &&
                (src1->ne[3] == src0->ne[3] || src1->ne[3] == 1);
@@ -726,7 +782,7 @@ static int execute_op_binary_f32(struct htp_ops_context * octx) {
     }
 
     if (rows_per_buffer < 1) {
-         FARF(ERROR, "binary-f32: VTCM too small\n");
+         FARF(ERROR, "binary: VTCM too small\n");
          return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
@@ -761,16 +817,14 @@ static int execute_op_binary_f32(struct htp_ops_context * octx) {
         return HTP_STATUS_OK;
     }
 
-    uint32_t n_jobs = MIN(n_threads, src0_nrows);
-
     dma_queue * q = octx->ctx->dma[0];
     if (is_row_bcast) {
-        dma_queue_push(q, dma_make_ptr(octx->src1_spad.data, (const void *) src1->data), src1_row_size_aligned, 0, src1->ne[0] * sizeof(float), 1);
+        dma_queue_push(q, dma_make_ptr(octx->src1_spad.data, (const void *) src1->data), src1_row_size_aligned, 0, src1->ne[0] * elem_size, 1);
     }
 
     struct htp_binary_context bctx;
     bctx.octx = octx;
-    bctx.nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
+    bctx.nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
     bctx.block_max = rows_per_buffer;
     bctx.src0_row_size_aligned = src0_row_size_aligned;
     bctx.src1_row_size_aligned = src1_row_size_aligned;
@@ -814,14 +868,24 @@ static int execute_op_binary_f32(struct htp_ops_context * octx) {
         dma_queue_pop(q);
     }
 
-    worker_pool_run_func(octx->ctx->worker_pool, worker_func, &bctx, n_jobs);
+    worker_pool_run_func(octx->ctx->worker_pool, worker_func, &bctx, n_threads);
 
     return HTP_STATUS_OK;
 }
 
 int op_binary(struct htp_ops_context * octx) {
-    if (octx->src0.type == HTP_TYPE_F32) {
-        return execute_op_binary_f32(octx);
+
+    // Does not support permutations of src1
+    const struct htp_tensor * src1 = &octx->src1;
+    if (src1->nb[1] < src1->nb[0]) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    const uint32_t src0_type = octx->src0.type;
+    if ((src0_type == HTP_TYPE_F32) || (src0_type == HTP_TYPE_F16)) {
+        return execute_op_binary(octx);
     }
+
     return HTP_STATUS_NO_SUPPORT;
 }
+
diff --git a/ggml/src/ggml-hexagon/htp/cpy-ops.c b/ggml/src/ggml-hexagon/htp/cpy-ops.c
index 559ca183789..a40d866b9c3 100644
--- a/ggml/src/ggml-hexagon/htp/cpy-ops.c
+++ b/ggml/src/ggml-hexagon/htp/cpy-ops.c
@@ -202,6 +202,8 @@ static void cpy_work_func(unsigned int n, unsigned int i, void *data) {
 int op_cpy(struct htp_ops_context * octx) {
     cpy_preamble;
 
+    const uint32_t n_threads = MIN(nr, octx->n_threads);
+
     struct htp_copy_context ct;
     ct.octx = octx;
 
@@ -227,8 +229,7 @@ int op_cpy(struct htp_ops_context * octx) {
     const bool transposed = (nb00 > nb01) || (nb0 > nb1);
     const bool sameshape  = !transposed && (ne00 == ne0 && ne01 == ne1 && ne02 == ne2 && ne03 == ne3);
 
-    const uint32_t n_jobs = MIN(nr, octx->n_threads);
-    ct.src0_nrows_per_thread = (nr + n_jobs - 1) / n_jobs;
+    ct.src0_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
     if (sametype && sameshape) {
         ct.copy = cpy_thread_sametype_sameshape;
@@ -245,7 +246,7 @@ int op_cpy(struct htp_ops_context * octx) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    worker_pool_run_func(octx->ctx->worker_pool, cpy_work_func, &ct, n_jobs);
+    worker_pool_run_func(octx->ctx->worker_pool, cpy_work_func, &ct, n_threads);
 
     return HTP_STATUS_OK;
 }
diff --git a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
index c1846374437..6dc978dd68a 100644
--- a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
+++ b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
@@ -10,6 +10,7 @@
 
 #include "hex-dma.h"
 #include "hvx-utils.h"
+#include "hvx-dump.h"
 
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
@@ -17,257 +18,272 @@
 #include "htp-msg.h"
 #include "htp-ops.h"
 
-static inline HVX_Vector hvx_load_f32_to_f16(const HVX_Vector * restrict src, const HVX_Vector zero) {
-    HVX_Vector y0_qf = Q6_Vqf32_vsub_VsfVsf(src[0], zero);  // 32 elements
-    HVX_Vector y1_qf = Q6_Vqf32_vsub_VsfVsf(src[1], zero);  // 32 elements
-    return Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(y1_qf, y0_qf)));
+// Must be multiple of 32
+#define FLASH_ATTN_BLOCK_SIZE (32 * 2)
+
+// This is a bit of a hack because the compiler is strugling to properly inline
+// the default hvx_vec_f32_to_f16 with output into the local array.
+static void __attribute__((noinline)) hvx_vec_f32_to_f16_a(void *ptr, HVX_Vector v0, HVX_Vector v1)
+{
+    *(HVX_Vector *) ptr = hvx_vec_f32_to_f16(v0, v1);
 }
 
-// Dot product of FP32 and FP16 vectors, accumulating to float
-static inline void hvx_dot_f32_f16_aa(float * restrict r, const void * restrict y, const void * restrict x, unsigned int n, float s) {
-    const HVX_Vector * restrict vy = (const HVX_Vector * restrict) y; // fp32
+// Dot product of two F16 vectors, accumulating to float
+static inline void hvx_dot_f16_f16_aa(float * restrict r, const void * restrict x, const void * restrict y, unsigned int n, float s) {
     const HVX_Vector * restrict vx = (const HVX_Vector * restrict) x; // fp16
+    const HVX_Vector * restrict vy = (const HVX_Vector * restrict) y; // fp16
 
     uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
     uint32_t nloe = n % VLEN_FP16; // leftover elements
 
-    const HVX_Vector zero = Q6_V_vsplat_R(0);
-    HVX_Vector       rsum = Q6_V_vsplat_R(0);
+    HVX_VectorPair rsum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
 
     uint32_t i = 0;
 
     #pragma unroll(4)
     for (i = 0; i < nvec; i++) {
-        // Load y (fp32) and convert into fp16
-        HVX_Vector y_hf  = hvx_load_f32_to_f16(&vy[i*2], zero);
-
-        // Load x (fp16)
-        HVX_Vector x_hf  = vx[i];
-
-        HVX_VectorPair xy_qf = Q6_Wqf32_vmpy_VhfVhf(x_hf, y_hf);
-
-        rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy_qf), Q6_V_hi_W(xy_qf)), rsum));
+        rsum_p = hvx_vec_mpyacc_f32_f16(rsum_p, vx[i], vy[i]);
     }
 
     if (nloe) {
-        // Load y (fp32) and convert into fp16
-        HVX_Vector y_hf  = hvx_load_f32_to_f16(&vy[i*2], zero);
-
-        // Load x (fp16)
-        HVX_Vector x_hf  = vx[i];
-
-        // Zero-out unused elements
-        // Note that we need to clear both x and y because they may contain NANs
         HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
-        x_hf = Q6_V_vand_QV(bmask, x_hf);
-        y_hf = Q6_V_vand_QV(bmask, y_hf);
+        HVX_Vector y_hf = Q6_V_vand_QV(bmask, vy[i]);
+        HVX_Vector x_hf = Q6_V_vand_QV(bmask, vx[i]);
 
-        HVX_VectorPair xy_qf = Q6_Wqf32_vmpy_VhfVhf(x_hf, y_hf);
-
-        rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy_qf), Q6_V_hi_W(xy_qf)), rsum));
+        rsum_p = hvx_vec_mpyacc_f32_f16(rsum_p, x_hf, y_hf);
     }
 
-    rsum = Q6_Vqf32_vmpy_VsfVsf(hvx_vec_splat_f32(s), hvx_vec_reduce_sum_f32(rsum));
-    hvx_vec_store_u(r, 4, Q6_Vsf_equals_Vqf32(rsum));
+    HVX_Vector rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum_p), Q6_V_hi_W(rsum_p)));
+    rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(hvx_vec_splat_f32(s), hvx_vec_reduce_sum_f32(rsum)));
+    hvx_vec_store_u(r, 4, rsum);
 }
 
-// Dot product of FP32 and FP16 vectors, accumulating to float
-static inline void hvx_dot_f32_f16_aa_rx2(float * restrict r,
-                                          const void * restrict y,
-                                          const void * restrict x0,
-                                          const void * restrict x1,
-                                          unsigned int n,
-                                          float        s) {
-    const HVX_Vector * restrict vy  = (const HVX_Vector * restrict) y;   // fp32
-    const HVX_Vector * restrict vx0 = (const HVX_Vector * restrict) x0;  // fp16
-    const HVX_Vector * restrict vx1 = (const HVX_Vector * restrict) x1;  // fp16
-
-    uint32_t nvec = n / VLEN_FP16;                                       // num full fp16 hvx vectors
-    uint32_t nloe = n % VLEN_FP16;                                       // leftover elements
-
-    const HVX_Vector zero  = Q6_V_vsplat_R(0);
-    HVX_Vector       rsum0 = Q6_V_vsplat_R(0);
-    HVX_Vector       rsum1 = Q6_V_vsplat_R(0);
+static inline HVX_Vector hvx_dot_f16_f16_aa_rx4(const void * restrict y,
+                                                const uint8_t * restrict x,
+                                                const size_t stride_x,
+                                                const size_t nvec,
+                                                const size_t nloe) {
+    const HVX_Vector * restrict vx0 = (const HVX_Vector * restrict) x;                   // fp16
+    const HVX_Vector * restrict vx1 = (const HVX_Vector * restrict) (x + stride_x);      // fp16
+    const HVX_Vector * restrict vx2 = (const HVX_Vector * restrict) (x + stride_x * 2);  // fp16
+    const HVX_Vector * restrict vx3 = (const HVX_Vector * restrict) (x + stride_x * 3);  // fp16
+    const HVX_Vector * restrict vy  = (const HVX_Vector * restrict) y;                   // fp16
+
+    HVX_VectorPair rsum0_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair rsum1_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair rsum2_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair rsum3_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
 
     uint32_t i = 0;
 
-    #pragma unroll(2)
     for (i = 0; i < nvec; i++) {
-        // Load y (fp32) and convert into fp16
-        HVX_Vector y_hf  = hvx_load_f32_to_f16(&vy[i*2], zero);
-        // Load x (fp16)
+        HVX_Vector y_hf  = vy[i];
         HVX_Vector x0_hf = vx0[i];
         HVX_Vector x1_hf = vx1[i];
+        HVX_Vector x2_hf = vx2[i];
+        HVX_Vector x3_hf = vx3[i];
 
-        HVX_VectorPair xy0_qf = Q6_Wqf32_vmpy_VhfVhf(x0_hf, y_hf);
-        HVX_VectorPair xy1_qf = Q6_Wqf32_vmpy_VhfVhf(x1_hf, y_hf);
-
-        rsum0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy0_qf), Q6_V_hi_W(xy0_qf)), rsum0));
-        rsum1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy1_qf), Q6_V_hi_W(xy1_qf)), rsum1));
+        rsum0_p = hvx_vec_mpyacc_f32_f16(rsum0_p, x0_hf, y_hf);
+        rsum1_p = hvx_vec_mpyacc_f32_f16(rsum1_p, x1_hf, y_hf);
+        rsum2_p = hvx_vec_mpyacc_f32_f16(rsum2_p, x2_hf, y_hf);
+        rsum3_p = hvx_vec_mpyacc_f32_f16(rsum3_p, x3_hf, y_hf);
     }
 
     if (nloe) {
-        // Load y (fp32) and convert into fp16
-        HVX_Vector y_hf  = hvx_load_f32_to_f16(&vy[i*2], zero);
+        // Load x (fp16) and zero-out unused elements
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
+        HVX_Vector     y_hf  = Q6_V_vand_QV(bmask, vy[i]);
+        HVX_Vector     x0_hf = Q6_V_vand_QV(bmask, vx0[i]);
+        HVX_Vector     x1_hf = Q6_V_vand_QV(bmask, vx1[i]);
+        HVX_Vector     x2_hf = Q6_V_vand_QV(bmask, vx2[i]);
+        HVX_Vector     x3_hf = Q6_V_vand_QV(bmask, vx3[i]);
 
-        // Load x (fp16)
-        HVX_Vector x0_hf = vx0[i];
-        HVX_Vector x1_hf = vx1[i];
+        rsum0_p = hvx_vec_mpyacc_f32_f16(rsum0_p, x0_hf, y_hf);
+        rsum1_p = hvx_vec_mpyacc_f32_f16(rsum1_p, x1_hf, y_hf);
+        rsum2_p = hvx_vec_mpyacc_f32_f16(rsum2_p, x2_hf, y_hf);
+        rsum3_p = hvx_vec_mpyacc_f32_f16(rsum3_p, x3_hf, y_hf);
+    }
 
-        // Zero-out unused elements
-        // Note that we need to clear both x and y because they may contain NANs
-        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
-        x0_hf                = Q6_V_vand_QV(bmask, x0_hf);
-        x1_hf                = Q6_V_vand_QV(bmask, x1_hf);
-        y_hf                 = Q6_V_vand_QV(bmask, y_hf);
+    HVX_Vector rsum0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum0_p), Q6_V_hi_W(rsum0_p)));
+    HVX_Vector rsum1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum1_p), Q6_V_hi_W(rsum1_p)));
+    HVX_Vector rsum2 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum2_p), Q6_V_hi_W(rsum2_p)));
+    HVX_Vector rsum3 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum3_p), Q6_V_hi_W(rsum3_p)));
 
-        HVX_VectorPair xy0_qf = Q6_Wqf32_vmpy_VhfVhf(x0_hf, y_hf);
-        HVX_VectorPair xy1_qf = Q6_Wqf32_vmpy_VhfVhf(x1_hf, y_hf);
+    HVX_Vector_x4 rsum0123 = { .v = { rsum0, rsum1, rsum2, rsum3 } };
+    return hvx_vec_reduce_sum_f32x4(rsum0123);
+}
 
-        rsum0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy0_qf), Q6_V_hi_W(xy0_qf)), rsum0));
-        rsum1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy1_qf), Q6_V_hi_W(xy1_qf)), rsum1));
+static inline HVX_Vector hvx_dot_f16_f16_aa_rx32(const void * restrict y,
+                                                 const uint8_t * restrict x,
+                                                 const size_t stride_x,
+                                                 const size_t n,
+                                                 float        s) {
+
+    const size_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
+    const size_t nloe = n % VLEN_FP16; // leftover elements
+
+    HVX_Vector   sums;  // initialize at j = 0
+    const size_t stride_x_4 = stride_x * 4;
+    for (uint32_t j = 0; j < VLEN_FP32; j += 4) {
+        HVX_Vector     sums_x4 = hvx_dot_f16_f16_aa_rx4(y, x, stride_x, nvec, nloe);
+        HVX_VectorPred pred    = Q6_Q_vsetq_R(j * SIZEOF_FP32);
+        sums                   = Q6_V_vmux_QVV(pred, sums, sums_x4);
+        x += stride_x_4;
     }
 
-    HVX_Vector rsum = Q6_Vqf32_vmpy_VsfVsf(hvx_vec_splat_f32(s), hvx_vec_reduce_sum_f32x2(rsum0, rsum1));
-    hvx_vec_store_u(r, 8, Q6_Vsf_equals_Vqf32(rsum));
+    sums = Q6_Vqf32_vmpy_VsfVsf(hvx_vec_splat_f32(s), sums);
+    return Q6_Vsf_equals_Vqf32(sums);
 }
 
-// Dot product of two F16 vectors, accumulating to float
-static inline void hvx_dot_f16_f16_aa(float * restrict r, const void * restrict x, const void * restrict y, unsigned int n, float s) {
-    const HVX_Vector * restrict vx = (const HVX_Vector * restrict) x; // fp16
-    const HVX_Vector * restrict vy = (const HVX_Vector * restrict) y; // fp16
+// MAD: y (F32) += x (F16) * s (F16)
+static inline void hvx_mad_f32_f16_aa(float * restrict y, const void * restrict x, const __fp16 * restrict s, int n) {
+    const HVX_Vector * restrict vx0 = (const HVX_Vector *) x;
+
+    HVX_VectorPair * restrict vy_p = (HVX_VectorPair *) y;
+    HVX_Vector * restrict vy = (HVX_Vector *) y;
 
     uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
     uint32_t nloe = n % VLEN_FP16; // leftover elements
 
-    const HVX_Vector zero = Q6_V_vsplat_R(0);
-    HVX_Vector       rsum = Q6_V_vsplat_R(0);
+    HVX_Vector S0 = hvx_vec_splat_f16(*s);
 
     uint32_t i = 0;
 
-    #pragma unroll(4)
-    for (i = 0; i < nvec; i++) {
-        HVX_Vector y_hf = vy[i];
-        HVX_Vector x_hf = vx[i];
-
-        HVX_VectorPair xy_qf = Q6_Wqf32_vmpy_VhfVhf(x_hf, y_hf);
-
-        rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy_qf), Q6_V_hi_W(xy_qf)), rsum));
+    #pragma unroll(2)
+    for (i = 0; i < nvec; ++i) {
+        vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx0[i]), S0);
     }
 
     if (nloe) {
-        HVX_Vector y_hf = vy[i];
+        HVX_VectorPair xy_p = vy_p[i];
+        xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx0[i]), S0);
 
-        // Load x (fp16) and zero-out unused elements
-        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
-        HVX_Vector      x_hf = Q6_V_vand_QV(bmask, vx[i]);
+        HVX_Vector xy = Q6_V_lo_W(xy_p);
+        i = 2 * i;  // index for vy
 
-        HVX_VectorPair xy_qf = Q6_Wqf32_vmpy_VhfVhf(x_hf, y_hf);
+        if (nloe >= VLEN_FP32) {
+            vy[i] = xy;
+            nloe -= VLEN_FP32; ++i; xy = Q6_V_hi_W(xy_p);
+        }
 
-        rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy_qf), Q6_V_hi_W(xy_qf)), rsum));
+        if (nloe) {
+            hvx_vec_store_a(&vy[i], nloe * 4, xy);
+        }
     }
-
-    rsum = Q6_Vqf32_vmpy_VsfVsf(hvx_vec_splat_f32(s), hvx_vec_reduce_sum_f32(rsum));
-    hvx_vec_store_u(r, 4, Q6_Vsf_equals_Vqf32(rsum));
 }
 
-static inline void hvx_dot_f16_f16_aa_rx2(float * restrict r,
-                                          const void * restrict y,
-                                          const void * restrict x0,
-                                          const void * restrict x1,
-                                          unsigned int n,
-                                          float        s) {
-    const HVX_Vector * restrict vx0 = (const HVX_Vector * restrict) x0;  // fp16
-    const HVX_Vector * restrict vx1 = (const HVX_Vector * restrict) x1;  // fp16
-    const HVX_Vector * restrict vy  = (const HVX_Vector * restrict) y;   // fp16
+// MAD: y (F32) += x0 (F16) * s0 (F16) + x1 (F16) * s1 (F16)
+static inline void hvx_mad_f32_f16_aa_rx2(float * restrict y, const void * restrict x0, const void * restrict x1,
+                                          const __fp16 * restrict s0, const __fp16 * restrict s1, int n) {
+    const HVX_Vector * restrict vx0 = (const HVX_Vector *) x0;
+    const HVX_Vector * restrict vx1 = (const HVX_Vector *) x1;
 
-    uint32_t nvec = n / VLEN_FP16;                                       // num full fp16 hvx vectors
-    uint32_t nloe = n % VLEN_FP16;                                       // leftover elements
+    HVX_VectorPair * restrict vy_p  = (HVX_VectorPair *) y;
+    HVX_Vector * restrict vy        = (HVX_Vector *) y;
 
-    const HVX_Vector zero  = Q6_V_vsplat_R(0);
-    HVX_Vector       rsum0 = Q6_V_vsplat_R(0);
-    HVX_Vector       rsum1 = Q6_V_vsplat_R(0);
+    uint32_t nvec = n / VLEN_FP16;  // num full fp16 hvx vectors
+    uint32_t nloe = n % VLEN_FP16;  // leftover elements
 
-    uint32_t i = 0;
-
-    #pragma unroll(4)
-    for (i = 0; i < nvec; i++) {
-        HVX_Vector y_hf  = vy[i];
-        HVX_Vector x0_hf = vx0[i];
-        HVX_Vector x1_hf = vx1[i];
+    HVX_Vector S0 = hvx_vec_splat_f16(*s0);
+    HVX_Vector S1 = hvx_vec_splat_f16(*s1);
 
-        HVX_VectorPair xy0_qf = Q6_Wqf32_vmpy_VhfVhf(x0_hf, y_hf);
-        HVX_VectorPair xy1_qf = Q6_Wqf32_vmpy_VhfVhf(x1_hf, y_hf);
+    uint32_t i = 0;
 
-        rsum0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy0_qf), Q6_V_hi_W(xy0_qf)), rsum0));
-        rsum1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy1_qf), Q6_V_hi_W(xy1_qf)), rsum1));
+    #pragma unroll(2)
+    for (i = 0; i < nvec; ++i) {
+        vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx0[i]), S0);
+        vy_p[i] = hvx_vec_mpyacc_f32_f16(vy_p[i], Q6_Vh_vshuff_Vh(vx1[i]), S1);
     }
 
     if (nloe) {
-        HVX_Vector y_hf = vy[i];
+        HVX_VectorPair xy_p = vy_p[i];
+        xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx0[i]), S0);
+        xy_p = hvx_vec_mpyacc_f32_f16(xy_p, Q6_Vh_vshuff_Vh(vx1[i]), S1);
 
-        // Load x (fp16) and zero-out unused elements
-        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
-        HVX_Vector     x0_hf = Q6_V_vand_QV(bmask, vx0[i]);
-        HVX_Vector     x1_hf = Q6_V_vand_QV(bmask, vx1[i]);
+        HVX_Vector xy = Q6_V_lo_W(xy_p);
+        i = 2 * i;  // index for vy
 
-        HVX_VectorPair xy0_qf = Q6_Wqf32_vmpy_VhfVhf(x0_hf, y_hf);
-        HVX_VectorPair xy1_qf = Q6_Wqf32_vmpy_VhfVhf(x1_hf, y_hf);
+        if (nloe >= VLEN_FP32) {
+            vy[i] = xy;
+            nloe -= VLEN_FP32; ++i; xy = Q6_V_hi_W(xy_p);
+        }
 
-        rsum0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy0_qf), Q6_V_hi_W(xy0_qf)), rsum0));
-        rsum1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy1_qf), Q6_V_hi_W(xy1_qf)), rsum1));
+        if (nloe) {
+            hvx_vec_store_a(&vy[i], nloe * 4, xy);
+        }
     }
-
-    HVX_Vector rsum = Q6_Vqf32_vmpy_VsfVsf(hvx_vec_splat_f32(s), hvx_vec_reduce_sum_f32x2(rsum0, rsum1));
-    hvx_vec_store_u(r, 8, Q6_Vsf_equals_Vqf32(rsum));
 }
 
-// MAD: y (F32) += x (F16) * s (float)
-static inline void hvx_mad_f32_f16_aa(float * restrict y, const void * restrict x, int n, float s) {
-    const HVX_Vector * restrict ptr_x = (const HVX_Vector *) x;
-    HVX_Vector * restrict ptr_y = (HVX_Vector *) y;
+struct htp_fa_context {
+    const struct htp_ops_context * octx;
 
-    uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
-    uint32_t nloe = n % VLEN_FP16; // leftover elements
+    struct fastdiv_values src0_div21;
+    struct fastdiv_values src0_div1;
 
-    HVX_Vector S = hvx_vec_splat_f16(s);
+    struct fastdiv_values broadcast_rk2;
+    struct fastdiv_values broadcast_rk3;
+    struct fastdiv_values broadcast_rv2;
+    struct fastdiv_values broadcast_rv3;
 
-    uint32_t i = 0;
-    #pragma unroll(4)
-    for (i = 0; i < nvec; ++i) {
-        // Multiply x * s -> pair of F32 vectors
-        HVX_VectorPair xs_p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(ptr_x[i]), S);
-        ptr_y[i*2]   = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_lo_W(xs_p), ptr_y[i*2]));
-        ptr_y[i*2+1] = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_hi_W(xs_p), ptr_y[i*2+1]));
-    }
+    struct fastdiv_values src3_div2;
+    struct fastdiv_values src3_div3;
 
-    if (nloe) {
-        HVX_VectorPair xs_p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(ptr_x[i]), S);
+    float scale;
+    float max_bias;
+    float logit_softcap;
 
-        HVX_Vector xs = Q6_V_lo_W(xs_p);
-        i = 2 * i; // index for ptr_y
+    uint32_t n_head_log2;
+    float m0;
+    float m1;
 
-        if (nloe >= 32) {
-            ptr_y[i] = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(xs, ptr_y[i]));
-            nloe -= 32; ++i; xs = Q6_V_hi_W(xs_p);
-        }
+    uint32_t n_blocks;
 
-        if (nloe) {
-            HVX_Vector xy = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(xs, ptr_y[i]));
-            hvx_vec_store_a(&ptr_y[i], nloe * 4, xy);
-        }
+    size_t size_q_row_padded;
+    size_t size_k_row_padded;
+    size_t size_v_row_padded;
+
+    size_t size_k_block;
+    size_t size_v_block;
+    size_t size_m_block;
+
+    uint32_t qrows;
+    uint32_t qrows_per_thread;
+
+    bool is_q_fp32;
+
+    uint64_t t_start;
+};
+
+static inline void hvx_scale_vec_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const int n, HVX_Vector vs) {
+    assert((size_t) dst % 128 == 0);
+    assert((size_t) src % 128 == 0);
+
+    const HVX_Vector * restrict vsrc = (const HVX_Vector * restrict) src;
+    HVX_Vector * restrict vdst       = (HVX_Vector * restrict) dst;
+
+    const uint32_t nvec = n / VLEN_FP32;
+    const uint32_t nloe = n % VLEN_FP32;
+
+    uint32_t i = 0;
+    #pragma unroll(4)
+    for (; i < nvec; ++i) {
+        vdst[i] = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(vsrc[i], vs));
+    }
+    if (nloe) {
+        HVX_Vector v = Q6_Vqf32_vmpy_VsfVsf(vsrc[i], vs);
+        hvx_vec_store_a(&vdst[i], nloe * sizeof(float), Q6_Vsf_equals_Vqf32(v));
     }
 }
 
-#define FLASH_ATTN_BLOCK_SIZE 128
-
-static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, int nth) {
+static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_fa_context * factx = (struct htp_fa_context *) data;
+    const struct htp_ops_context * octx = factx->octx;
     const struct htp_tensor * q = &octx->src0;
     const struct htp_tensor * k = &octx->src1;
     const struct htp_tensor * v = &octx->src2;
     const struct htp_tensor * mask  = (octx->src3.data) ? &octx->src3 : NULL;
     const struct htp_tensor * sinks = (octx->src4.data) ? &octx->src4 : NULL;
-    struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * dst = &octx->dst;
 
     const uint32_t neq0 = q->ne[0];
     const uint32_t neq1 = q->ne[1];
@@ -304,22 +320,9 @@ static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, in
     const uint32_t nb2 = dst->nb[2];
     const uint32_t nb3 = dst->nb[3];
 
-    float scale         = 1.0f;
-    float max_bias      = 0.0f;
-    float logit_softcap = 0.0f;
-
-    memcpy(&scale,         (float *) octx->op_params + 0, sizeof(float));
-    memcpy(&max_bias,      (float *) octx->op_params + 1, sizeof(float));
-    memcpy(&logit_softcap, (float *) octx->op_params + 2, sizeof(float));
-
-    if (logit_softcap != 0) {
-        scale /= logit_softcap;
-    }
-
     // total rows in q
-    const uint32_t nr = neq1*neq2*neq3;
-
-    const uint32_t dr = (nr + nth - 1) / nth;
+    const uint32_t nr = factx->qrows;
+    const uint32_t dr = factx->qrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = MIN(ir0 + dr, nr);
 
@@ -331,18 +334,8 @@ static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, in
     const uint32_t DV = nev0;
 
     const size_t size_q_row = DK * ((q->type == HTP_TYPE_F32) ? 4 : 2);
-    const size_t size_q_row_padded = hex_round_up(size_q_row, 128);
-
     const size_t size_k_row = DK * sizeof(__fp16);
     const size_t size_v_row = DV * sizeof(__fp16);
-    const size_t size_m_row = FLASH_ATTN_BLOCK_SIZE * sizeof(__fp16); // Treat block as one row for mask
-
-    const size_t size_k_row_padded = hex_round_up(size_k_row, 128);
-    const size_t size_v_row_padded = hex_round_up(size_v_row, 128);
-
-    const size_t size_k_block = size_k_row_padded * FLASH_ATTN_BLOCK_SIZE;
-    const size_t size_v_block = size_v_row_padded * FLASH_ATTN_BLOCK_SIZE;
-    const size_t size_m_block = hex_round_up(FLASH_ATTN_BLOCK_SIZE * sizeof(__fp16), 128);
 
     // Scratchpad buffers for Q, K, V, Mask, and VKQ32 accumulator
     uint8_t * spad_q = octx->src0_spad.data + octx->src0_spad.size_per_thread * ith;
@@ -351,72 +344,79 @@ static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, in
     uint8_t * spad_m = octx->src3_spad.data + octx->src3_spad.size_per_thread * ith;
     uint8_t * spad_a = octx->dst_spad.data  + octx->dst_spad.size_per_thread  * ith;
 
-    const uint32_t n_head = neq2;
-    const uint32_t n_head_log2 = 1u << (uint32_t) floor(log2(n_head));
-    const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
-    const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
+    const HVX_Vector logit_cap = hvx_vec_splat_f32(factx->logit_softcap);
 
     for (uint32_t ir = ir0; ir < ir1; ++ir) {
-        const uint32_t iq3 = fastdiv(ir, &octx->src0_div21);
-        const uint32_t iq2 = fastdiv(ir - iq3*neq2*neq1, &octx->src0_div1);
+        const uint32_t iq3 = fastdiv(ir, &factx->src0_div21);
+        const uint32_t iq2 = fastdiv(ir - iq3*neq2*neq1, &factx->src0_div1);
         const uint32_t iq1 = (ir - iq3*neq2*neq1 - iq2 * neq1);
 
-        const uint32_t ik3 = fastdiv(iq3, &octx->broadcast_rk3);
-        const uint32_t ik2 = fastdiv(iq2, &octx->broadcast_rk2);
+        const uint32_t ik3 = fastdiv(iq3, &factx->broadcast_rk3);
+        const uint32_t ik2 = fastdiv(iq2, &factx->broadcast_rk2);
 
-        const uint32_t iv3 = fastdiv(iq3, &octx->broadcast_rv3);
-        const uint32_t iv2 = fastdiv(iq2, &octx->broadcast_rv2);
+        const uint32_t iv3 = fastdiv(iq3, &factx->broadcast_rv3);
+        const uint32_t iv2 = fastdiv(iq2, &factx->broadcast_rv2);
 
         // Fetch Q row
         const uint8_t * q_row_ptr = (const uint8_t *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3);
-        dma_queue_push(dma, dma_make_ptr(spad_q, q_row_ptr), size_q_row_padded, nbq1, size_q_row, 1);
+        dma_queue_push(dma, dma_make_ptr(spad_q, q_row_ptr), factx->size_q_row_padded, nbq1, size_q_row, 1);
 
-        const uint32_t h = iq2; // head index
-        const float slope = (max_bias > 0.0f) ? (h < n_head_log2 ? powf(m0, h + 1) : powf(m1, 2*(h - n_head_log2) + 1)) : 1.0f;
-
-        float S = 0.0f;      // sum
-        float M = -INFINITY; // maximum KQ value
-
-        // Clear accumulator
-        hvx_splat_f32_a(spad_a, 0, DV);
-        float * VKQ32 = (float *) spad_a;
+        // FARF(HIGH, "fa %u: prefetch Q: ir %u iq1 %u iq2 %u iq3 %u q_row_ptr %p size %u : usec %u", ith, ir, iq1, iq2, iq3, q_row_ptr, size_q_row,
+        //                 (unsigned)HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - factx->t_start));
 
         const __fp16 * mp_base = NULL;
         if (mask) {
-            const uint32_t im2 = fastmodulo(iq2, mask->ne[2], &octx->src3_div2);
-            const uint32_t im3 = fastmodulo(iq3, mask->ne[3], &octx->src3_div3);
+            const uint32_t im2 = fastmodulo(iq2, mask->ne[2], &factx->src3_div2);
+            const uint32_t im3 = fastmodulo(iq3, mask->ne[3], &factx->src3_div3);
             mp_base = (const __fp16 *) ((const uint8_t *) mask->data + iq1*mask->nb[1] + im2*mask->nb[2] + im3*mask->nb[3]);
         }
 
-        const uint32_t n_blocks = (nek1 + FLASH_ATTN_BLOCK_SIZE - 1) / FLASH_ATTN_BLOCK_SIZE;
-
         // Prefetch first two blocks
-        for (uint32_t ib = 0; ib < MIN(n_blocks, 2); ++ib) {
+        for (uint32_t ib = 0; ib < MIN(factx->n_blocks, 2); ++ib) {
             const uint32_t ic_start = ib * FLASH_ATTN_BLOCK_SIZE;
             const uint32_t current_block_size = MIN(FLASH_ATTN_BLOCK_SIZE, nek1 - ic_start);
 
             // K
             const uint8_t * k_src = (const uint8_t *) k->data + (ic_start*nbk1 + ik2*nbk2 + ik3*nbk3);
-            uint8_t * k_dst = spad_k + (ib % 2) * size_k_block;
-            dma_queue_push(dma, dma_make_ptr(k_dst, k_src), size_k_row_padded, nbk1, size_k_row, current_block_size);
+            uint8_t * k_dst = spad_k + (ib % 2) * factx->size_k_block;
+            dma_queue_push(dma, dma_make_ptr(k_dst, k_src), factx->size_k_row_padded, nbk1, size_k_row, current_block_size);
 
             // V
             const uint8_t * v_src = (const uint8_t *) v->data + (ic_start*nbv1 + iv2*nbv2 + iv3*nbv3);
-            uint8_t * v_dst = spad_v + (ib % 2) * size_v_block;
-            dma_queue_push(dma, dma_make_ptr(v_dst, v_src), size_v_row_padded, nbv1, size_v_row, current_block_size);
+            uint8_t * v_dst = spad_v + (ib % 2) * factx->size_v_block;
+            dma_queue_push(dma, dma_make_ptr(v_dst, v_src), factx->size_v_row_padded, nbv1, size_v_row, current_block_size);
 
             // Mask
             if (mask) {
                 const uint8_t * m_src = (const uint8_t *) (mp_base + ic_start);
-                uint8_t * m_dst = spad_m + (ib % 2) * size_m_block;
+                uint8_t * m_dst = spad_m + (ib % 2) * factx->size_m_block;
                 // Mask is 1D contiguous for this row
                 dma_queue_push(dma, dma_make_ptr(m_dst, m_src), current_block_size * 2, current_block_size * 2, current_block_size * 2, 1);
             }
+
+            // FARF(HIGH, "fa %u: prefetch KVM: ir %u ib %u iq1 %u iq2 %u iq3 %u : size_k_row %u size_v_row %u bs %u: usec %u",
+            //             ith, ir, ib, iq1, iq2, iq3,
+            //             size_k_row, size_v_row, current_block_size,
+            //             (unsigned)HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - factx->t_start));
         }
 
-        const uint8_t * q_ptr_vtcm = dma_queue_pop(dma).dst;
+        const uint32_t h = iq2; // head index
+        const float slope = (factx->max_bias > 0.0f) ? (h < factx->n_head_log2 ? powf(factx->m0, h + 1) : powf(factx->m1, 2*(h - factx->n_head_log2) + 1)) : 1.0f;
+
+        HVX_Vector S_vec = hvx_vec_splat_f32(0.0f);
+        HVX_Vector M_vec = hvx_vec_splat_f32(-INFINITY);
+
+        // Clear accumulator
+        hvx_splat_f32_a(spad_a, 0, DV);
+        float * VKQ32 = (float *) (spad_a + 0);
 
-        for (uint32_t ib = 0; ib < n_blocks; ++ib) {
+        uint8_t * q_ptr_vtcm = dma_queue_pop(dma).dst;
+        if (factx->is_q_fp32) {
+            hvx_copy_f16_f32_aa(q_ptr_vtcm, q_ptr_vtcm, DK);  // inplace convert f32 to f16
+        }
+
+        const HVX_Vector slope_vec = hvx_vec_splat_f16(slope);
+        for (uint32_t ib = 0; ib < factx->n_blocks; ++ib) {
             const uint32_t ic_start = ib * FLASH_ATTN_BLOCK_SIZE;
             const uint32_t current_block_size = MIN(FLASH_ATTN_BLOCK_SIZE, nek1 - ic_start);
 
@@ -425,34 +425,24 @@ static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, in
             uint8_t * v_base = dma_queue_pop(dma).dst; // V
             __fp16  * m_base = mask ? dma_queue_pop(dma).dst : NULL; // M
 
+            // FARF(HIGH, "fa %u: process: ir %u ib %u : iq1 %u iq2 %u iq3 %u q_ptr_vtcm %p : usec %u",
+            //              ith, ir, ib, iq1, iq2, iq3, q_ptr_vtcm,
+            //             (unsigned)HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - factx->t_start));
+
             // Inner loop processing the block from VTCM
             uint32_t ic = 0;
 
-            const bool is_q_fp32 = (q->type == HTP_TYPE_F32);
-
-            // Process in blocks of 32 (VLEN_FP32)
-            static_assert(FLASH_ATTN_BLOCK_SIZE / VLEN_FP32 <= 4, "FLASH_ATTN_BLOCK_SIZE changed, fix HVX_Vector_x4 usage");
-            HVX_Vector_x4 scores_x4;
+            // Process in sub-blocks of 32 (VLEN_FP32)
+            HVX_Vector sb_scores[FLASH_ATTN_BLOCK_SIZE / VLEN_FP32];
             HVX_Vector v_max = hvx_vec_splat_f32(-INFINITY);
             for (uint32_t iv = 0; ic + VLEN_FP32 <= current_block_size; ic += VLEN_FP32, ++iv) {
                 // 1. Compute scores
-                float __attribute__((aligned(VLEN))) scores_arr[VLEN_FP32];
-                for (int j = 0; j < VLEN_FP32; j += 2) {
-                    const uint32_t cur_ic = ic + j;
-                    const uint8_t * k_ptr = k_base + cur_ic * size_k_row_padded;
-                    if (is_q_fp32) {
-                        hvx_dot_f32_f16_aa_rx2(&scores_arr[j], q_ptr_vtcm, k_ptr, k_ptr + size_k_row_padded, DK, scale);
-                    } else {
-                        hvx_dot_f16_f16_aa_rx2(&scores_arr[j], q_ptr_vtcm, k_ptr, k_ptr + size_k_row_padded, DK, scale);
-                    }
-                }
-
-                HVX_Vector scores = *(HVX_Vector *) scores_arr;
+                HVX_Vector scores = hvx_dot_f16_f16_aa_rx32(q_ptr_vtcm, k_base + ic * factx->size_k_row_padded, factx->size_k_row_padded, DK, factx->scale);
 
                 // 2. Softcap
-                if (logit_softcap != 0.0f) {
+                if (factx->logit_softcap != 0.0f) {
                     scores = hvx_vec_tanh_f32(scores);
-                    scores = Q6_Vqf32_vmpy_VsfVsf(scores, hvx_vec_splat_f32(logit_softcap));
+                    scores = Q6_Vqf32_vmpy_VsfVsf(scores, logit_cap);
                     scores = Q6_Vsf_equals_Vqf32(scores);
                 }
 
@@ -460,133 +450,141 @@ static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, in
                 if (mask) {
                     const __fp16 * mp = m_base + ic;
                     HVX_Vector m_vals_f16 = *(const HVX_UVector *) mp;
-
-                    HVX_Vector one_f16 = Q6_Vh_vsplat_R(0x3c00);
-                    HVX_VectorPair m_vals_f32_pair = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(m_vals_f16), one_f16);
-
-                    HVX_Vector m_vals_f32 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(m_vals_f32_pair));
-
-                    HVX_Vector slope_vec = hvx_vec_splat_f32(slope);
-                    HVX_Vector add_val = Q6_Vqf32_vmpy_VsfVsf(m_vals_f32, slope_vec);
-                    scores = Q6_Vqf32_vadd_VsfVsf(scores, Q6_Vsf_equals_Vqf32(add_val));
+                    HVX_VectorPair m_vals_f32_pair = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(m_vals_f16), slope_vec);
+                    HVX_Vector add_val = Q6_V_lo_W(m_vals_f32_pair);
+                    scores = Q6_Vqf32_vadd_Vqf32Vsf(add_val, scores);
                     scores = Q6_Vsf_equals_Vqf32(scores);
                 }
 
-                scores_x4.v[iv] = scores;
-                v_max = Q6_Vsf_vmax_VsfVsf(scores, v_max);
+                sb_scores[iv] = scores;
+                v_max = hvx_vec_reduce_max2_f32(scores, v_max); // All lanes have block max
             }
 
             {
                 // 4. Online Softmax Update
-                v_max = hvx_vec_reduce_max_f32(v_max);
-                float m_block = hvx_vec_get_f32(v_max);
-                float M_old = M;
-                float M_new = (m_block > M) ? m_block : M;
-                M = M_new;
+                HVX_Vector M_new_vec = Q6_Vsf_vmax_VsfVsf(v_max, M_vec);
+                HVX_Vector diff_vec  = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(M_vec, M_new_vec));
+                HVX_Vector ms_vec    = hvx_vec_exp_f32(diff_vec);
+                M_vec = M_new_vec;
 
-                const float ms = expf(M_old - M_new);
-                hvx_scale_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms);
+                hvx_scale_vec_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms_vec);
 
-                HVX_Vector M_new_vec = hvx_vec_splat_f32(M_new);
                 HVX_Vector p_sum_vec = hvx_vec_splat_f32(0.0f);
                 for (uint32_t ic2 = 0, iv = 0; ic2 + VLEN_FP32 <= current_block_size; ic2 += VLEN_FP32, ++iv) {
-                    HVX_Vector scores = scores_x4.v[iv];
-                    HVX_Vector scores_shifted = Q6_Vqf32_vsub_VsfVsf(scores, M_new_vec);
+                    HVX_Vector scores = sb_scores[iv];
+                    HVX_Vector scores_shifted = Q6_Vqf32_vsub_VsfVsf(scores, M_vec);
                     HVX_Vector P = hvx_vec_exp_f32(Q6_Vsf_equals_Vqf32(scores_shifted));
 
                     p_sum_vec = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(p_sum_vec, P));
 
                     // 5. Accumulate V
-                    float __attribute__((aligned(VLEN))) p_arr[VLEN_FP32];
-                    *(HVX_Vector*)p_arr = P;
+                    __fp16 __attribute__((aligned(VLEN))) p_arr[VLEN_FP16];
+                    hvx_vec_f32_to_f16_a(p_arr, P, hvx_vec_splat_f32(0));
 
-                    for (int j = 0; j < VLEN_FP32; ++j) {
-                        const uint32_t cur_ic = ic2 + j;
-                        const uint8_t * v_ptr = v_base + cur_ic * size_v_row_padded;
-                        hvx_mad_f32_f16_aa(VKQ32, v_ptr, DV, p_arr[j]);
+                    for (uint32_t j = 0; j < VLEN_FP32; j += 2) {
+                        const uint32_t  cur_ic = ic2 + j;
+                        const uint8_t * v_ptr  = v_base + cur_ic * factx->size_v_row_padded;
+                        hvx_mad_f32_f16_aa_rx2(VKQ32, v_ptr, v_ptr + factx->size_v_row_padded, (p_arr + j), (p_arr + j + 1), DV);
                     }
                 }
 
                 p_sum_vec = hvx_vec_reduce_sum_f32(p_sum_vec);
-                S = S * ms + hvx_vec_get_f32(p_sum_vec);
+                S_vec = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(S_vec, ms_vec)), p_sum_vec));
             }
 
-            // Leftover
-            for (; ic < current_block_size; ++ic) {
-                float s_val;
-                const uint8_t * k_ptr = k_base + ic * size_k_row_padded;
-
-                if (is_q_fp32) {
-                    hvx_dot_f32_f16_aa(&s_val, q_ptr_vtcm, k_ptr, DK, scale);
-                } else {
-                    hvx_dot_f16_f16_aa(&s_val, q_ptr_vtcm, k_ptr, DK, scale);
-                }
+            if (ic < current_block_size) {
+                // Sync scalars for leftover/next block if needed
+                float M = hvx_vec_get_f32(M_vec);
+                float S = hvx_vec_get_f32(S_vec);
+
+                // Leftover
+                for (; ic < current_block_size; ++ic) {
+                    float s_val;
+                    const uint8_t * k_ptr = k_base + ic * factx->size_k_row_padded;
+                    hvx_dot_f16_f16_aa(&s_val, q_ptr_vtcm, k_ptr, DK, factx->scale);
+                    if (factx->logit_softcap != 0.0f) {
+                        s_val = factx->logit_softcap * tanhf(s_val);
+                    }
 
-                if (logit_softcap != 0.0f) {
-                    s_val = logit_softcap * tanhf(s_val);
-                }
+                    if (mask) {
+                        const float m_val = m_base[ic];
+                        s_val += slope * m_val;
+                    }
 
-                if (mask) {
-                    const float m_val = m_base[ic];
-                    s_val += slope * m_val;
-                }
+                    const float Mold = M;
+                    __fp16 vs = 1.0f;
 
-                const float Mold = M;
-                float ms = 1.0f;
-                float vs = 1.0f;
+                    if (s_val > M) {
+                        M = s_val;
+                        HVX_Vector diff_vec = hvx_vec_splat_f32(Mold - M);
+                        HVX_Vector ms_vec   = hvx_vec_exp_f32(diff_vec);
+                        hvx_scale_vec_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms_vec);
 
-                if (s_val > M) {
-                    M = s_val;
-                    ms = expf(Mold - M);
-                    hvx_scale_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms);
-                } else {
-                    vs = expf(s_val - M);
-                }
+                        float ms = hvx_vec_get_f32(ms_vec);
+                        S = S * ms + vs;
+                    } else {
+                        HVX_Vector diff_vec = hvx_vec_splat_f32(s_val - M);
+                        vs = hvx_vec_get_f32(hvx_vec_exp_f32(diff_vec));
+                        S += vs;
+                    }
 
-                const uint8_t * v_ptr = v_base + ic * size_v_row_padded;
+                    const uint8_t * v_ptr = v_base + ic * factx->size_v_row_padded;
 
-                hvx_mad_f32_f16_aa(VKQ32, v_ptr, DV, vs);
+                    hvx_mad_f32_f16_aa(VKQ32, v_ptr, &vs, DV);
+                }
 
-                S = S * ms + vs;
+                M_vec = hvx_vec_splat_f32(M);
+                S_vec = hvx_vec_splat_f32(S);
             }
 
             // Issue DMA for next+1 block (if exists)
-            if (ib + 2 < n_blocks) {
+            if (ib + 2 < factx->n_blocks) {
                 const uint32_t next_ib = ib + 2;
                 const uint32_t next_ic_start = next_ib * FLASH_ATTN_BLOCK_SIZE;
                 const uint32_t next_block_size = MIN(FLASH_ATTN_BLOCK_SIZE, nek1 - next_ic_start);
 
                 // K
                 const uint8_t * k_src = (const uint8_t *) k->data + (next_ic_start*nbk1 + ik2*nbk2 + ik3*nbk3);
-                dma_queue_push(dma, dma_make_ptr(k_base, k_src), size_k_row_padded, nbk1, size_k_row, next_block_size);
+                dma_queue_push(dma, dma_make_ptr(k_base, k_src), factx->size_k_row_padded, nbk1, size_k_row, next_block_size);
 
                 // V
                 const uint8_t * v_src = (const uint8_t *) v->data + (next_ic_start*nbv1 + iv2*nbv2 + iv3*nbv3);
-                dma_queue_push(dma, dma_make_ptr(v_base, v_src), size_v_row_padded, nbv1, size_v_row, next_block_size);
+                dma_queue_push(dma, dma_make_ptr(v_base, v_src), factx->size_v_row_padded, nbv1, size_v_row, next_block_size);
 
                 // Mask
                 if (mask) {
                     const uint8_t * m_src = (const uint8_t *) (mp_base + next_ic_start);
                     dma_queue_push(dma, dma_make_ptr(m_base, m_src), next_block_size * 2, next_block_size * 2, next_block_size * 2, 1);
                 }
+
+                // FARF(HIGH, "fa %u: prefetch KVM: ir %u ib %u : iq1 %u iq2 %u iq3 %u : size_k_row %u size_v_row %u bs %u: usec %u",
+                //         ith, ir, next_ib, iq1, iq2, iq3,
+                //         size_k_row, size_v_row, next_block_size,
+                //         (unsigned)HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - factx->t_start));
             }
         }
 
         // sinks
+        float M = hvx_vec_get_f32(M_vec);
+        float S = hvx_vec_get_f32(S_vec);
+
         if (sinks) {
             const float s = ((float *)((char *) sinks->data))[h];
 
-            float ms = 1.0f;
             float vs = 1.0f;
 
             if (s > M) {
-                ms = expf(M - s);
-                hvx_scale_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms);
+                HVX_Vector diff_vec = hvx_vec_splat_f32(M - s);
+                HVX_Vector ms_vec   = hvx_vec_exp_f32(diff_vec);
+                hvx_scale_vec_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms_vec);
+
+                float ms = hvx_vec_get_f32(ms_vec);
+                S = S * ms + vs;
             } else {
-                vs = expf(s - M);
+                HVX_Vector diff_vec = hvx_vec_splat_f32(s - M);
+                vs = hvx_vec_get_f32(hvx_vec_exp_f32(diff_vec));
+                S += vs;
             }
-
-            S = S * ms + vs;
         }
 
         const float S_inv = S == 0.0f ? 0.0f : 1.0f/S;
@@ -609,53 +607,84 @@ static void flash_attn_ext_f16_thread(struct htp_ops_context * octx, int ith, in
     }
 }
 
-static void htp_flash_attn_ext_job(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-    flash_attn_ext_f16_thread(octx, i, n);
-}
-
 int op_flash_attn_ext(struct htp_ops_context * octx) {
     const struct htp_tensor * q = &octx->src0;
     const struct htp_tensor * k = &octx->src1;
     const struct htp_tensor * v = &octx->src2;
-    const struct htp_tensor * mask = (octx->src3.type != HTP_TYPE_COUNT) ? &octx->src3 : NULL;
-    struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * mask = (octx->src3.data) ? &octx->src3 : NULL;
+    const struct htp_tensor * dst = &octx->dst;
 
     // Check support
-    if ((q->type != HTP_TYPE_F16 && q->type != HTP_TYPE_F32) ||
-        k->type != HTP_TYPE_F16 ||
-        v->type != HTP_TYPE_F16) {
+    if ((q->type != HTP_TYPE_F16 && q->type != HTP_TYPE_F32) || k->type != HTP_TYPE_F16 || v->type != HTP_TYPE_F16) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    octx->src0_div21 = init_fastdiv_values(q->ne[2] * q->ne[1]);
-    octx->src0_div1  = init_fastdiv_values(q->ne[1]);
+    struct htp_fa_context factx;
+    factx.octx = octx;
+
+    factx.t_start = HAP_perf_get_qtimer_count();
 
-    octx->broadcast_rk2 = init_fastdiv_values(q->ne[2]/k->ne[2]);
-    octx->broadcast_rk3 = init_fastdiv_values(q->ne[3]/k->ne[3]);
-    octx->broadcast_rv2 = init_fastdiv_values(q->ne[2]/v->ne[2]);
-    octx->broadcast_rv3 = init_fastdiv_values(q->ne[3]/v->ne[3]);
+    factx.src0_div21 = init_fastdiv_values(q->ne[2] * q->ne[1]);
+    factx.src0_div1  = init_fastdiv_values(q->ne[1]);
+
+    factx.broadcast_rk2 = init_fastdiv_values(q->ne[2]/k->ne[2]);
+    factx.broadcast_rk3 = init_fastdiv_values(q->ne[3]/k->ne[3]);
+    factx.broadcast_rv2 = init_fastdiv_values(q->ne[2]/v->ne[2]);
+    factx.broadcast_rv3 = init_fastdiv_values(q->ne[3]/v->ne[3]);
 
     if (mask) {
-        octx->src3_div2 = init_fastdiv_values(mask->ne[2]);
-        octx->src3_div3 = init_fastdiv_values(mask->ne[3]);
+        factx.src3_div2 = init_fastdiv_values(mask->ne[2]);
+        factx.src3_div3 = init_fastdiv_values(mask->ne[3]);
+    }
+
+    factx.is_q_fp32 = (q->type == HTP_TYPE_F32);
+    factx.size_q_row_padded = hex_round_up(q->ne[0] * (factx.is_q_fp32 ? 4 : 2), 128);
+    factx.size_k_row_padded = hex_round_up(k->ne[0] * sizeof(__fp16), 128);
+    factx.size_v_row_padded = hex_round_up(v->ne[0] * sizeof(__fp16), 128);
+
+    size_t size_q_block = factx.size_q_row_padded * 1; // single row for now
+    factx.size_k_block = factx.size_k_row_padded * FLASH_ATTN_BLOCK_SIZE;
+    factx.size_v_block = factx.size_v_row_padded * FLASH_ATTN_BLOCK_SIZE;
+    factx.size_m_block = hex_round_up(FLASH_ATTN_BLOCK_SIZE * sizeof(__fp16), 128);
+
+    factx.n_blocks = (k->ne[1] + FLASH_ATTN_BLOCK_SIZE - 1) / FLASH_ATTN_BLOCK_SIZE;
+
+    float scale         = 1.0f;
+    float max_bias      = 0.0f;
+    float logit_softcap = 0.0f;
+
+    memcpy(&scale,         (float *) octx->op_params + 0, sizeof(float));
+    memcpy(&max_bias,      (float *) octx->op_params + 1, sizeof(float));
+    memcpy(&logit_softcap, (float *) octx->op_params + 2, sizeof(float));
+
+    if (logit_softcap != 0.0f) {
+        scale /= logit_softcap;
     }
 
-    size_t size_q_row_padded = hex_round_up(q->ne[0] * (q->type == HTP_TYPE_F32 ? 4 : 2), 128);
-    size_t size_k_row_padded = hex_round_up(k->ne[0] * sizeof(__fp16), 128);
-    size_t size_v_row_padded = hex_round_up(v->ne[0] * sizeof(__fp16), 128);
+    factx.scale = scale;
+    factx.max_bias = max_bias;
+    factx.logit_softcap = logit_softcap;
+
+    uint32_t n_head = q->ne[2];
+    factx.n_head_log2 = 1u << (uint32_t) floor(log2(n_head));
+    factx.m0 = powf(2.0f, -(max_bias       ) / factx.n_head_log2);
+    factx.m1 = powf(2.0f, -(max_bias / 2.0f) / factx.n_head_log2);
+
+    // total rows in q
+    const uint32_t neq0 = q->ne[0];
+    const uint32_t neq1 = q->ne[1];
+    const uint32_t neq2 = q->ne[2];
+    const uint32_t neq3 = q->ne[3];
 
-    size_t size_q_block = size_q_row_padded * 1; // single row for now
-    size_t size_k_block = size_k_row_padded * FLASH_ATTN_BLOCK_SIZE;
-    size_t size_v_block = size_v_row_padded * FLASH_ATTN_BLOCK_SIZE;
-    size_t size_m_block = hex_round_up(FLASH_ATTN_BLOCK_SIZE * sizeof(__fp16), 128);
+    factx.qrows = neq1*neq2*neq3;
+    factx.qrows_per_thread = (factx.qrows + octx->n_threads - 1) / octx->n_threads;
 
     size_t size_vkq_acc = hex_round_up(v->ne[0] * sizeof(float), 128); // VKQ32
 
     octx->src0_spad.size_per_thread = size_q_block * 1;
-    octx->src1_spad.size_per_thread = size_k_block * 2;
-    octx->src2_spad.size_per_thread = size_v_block * 2;
-    octx->src3_spad.size_per_thread = mask ? size_m_block * 2 : 0;
+    octx->src1_spad.size_per_thread = factx.size_k_block * 2;
+    octx->src2_spad.size_per_thread = factx.size_v_block * 2;
+    octx->src3_spad.size_per_thread = mask ? factx.size_m_block * 2 : 0;
     octx->dst_spad.size_per_thread  = size_vkq_acc;
 
     octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
@@ -677,7 +706,7 @@ int op_flash_attn_ext(struct htp_ops_context * octx) {
     octx->dst_spad.data  = octx->src3_spad.data + octx->src3_spad.size;
 
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        worker_pool_run_func(octx->ctx->worker_pool, htp_flash_attn_ext_job, octx, octx->n_threads);
+        worker_pool_run_func(octx->ctx->worker_pool, flash_attn_ext_f16_thread, &factx, octx->n_threads);
     }
 
     return HTP_STATUS_OK;
diff --git a/ggml/src/ggml-hexagon/htp/get-rows-ops.c b/ggml/src/ggml-hexagon/htp/get-rows-ops.c
index a657cd2dcf2..047d2850aaa 100644
--- a/ggml/src/ggml-hexagon/htp/get-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/get-rows-ops.c
@@ -15,6 +15,13 @@
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
+struct get_rows_context {
+    struct htp_ops_context * octx;
+    uint32_t src1_nrows_per_thread;
+    struct fastdiv_values get_rows_div_ne10;
+    struct fastdiv_values get_rows_div_ne10_ne11;
+};
+
 #define get_rows_preamble \
     const uint32_t ne00 = octx->src0.ne[0]; \
     const uint32_t ne01 = octx->src0.ne[1]; \
@@ -39,20 +46,22 @@
                                             \
     const uint32_t nr = ne10 * ne11 * ne12;
 
-static int get_rows_thread_f32_f32(struct htp_ops_context * octx, const int nth, const int ith) {
+static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) {
+    struct get_rows_context * grctx = (struct get_rows_context *)data;
+    struct htp_ops_context * octx = grctx->octx;
     get_rows_preamble;
 
     // parallelize by src1 elements (which correspond to dst rows)
-    const uint32_t dr  = octx->src1_nrows_per_thread;
+    const uint32_t dr  = grctx->src1_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
     const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
 
     for (uint32_t i = ir0; i < ir1; ++i) {
-        const uint32_t i12 = fastdiv(i, &octx->get_rows_div_ne10_ne11);
+        const uint32_t i12 = fastdiv(i, &grctx->get_rows_div_ne10_ne11);
         const uint32_t rem = i - i12 * ne11 * ne10;
-        const uint32_t i11 = fastdiv(rem, &octx->get_rows_div_ne10);
+        const uint32_t i11 = fastdiv(rem, &grctx->get_rows_div_ne10);
         const uint32_t i10 = rem - i11 * ne10;
 
         const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
@@ -68,17 +77,13 @@ static int get_rows_thread_f32_f32(struct htp_ops_context * octx, const int nth,
         const uintptr_t dst_ptr  = octx->dst.data  + i10*nb1  + i11*nb2  + i12*nb3;
         hvx_copy_f32_uu((uint8_t *)dst_ptr, (const uint8_t *)src0_ptr, ne00);
     }
-
-    return HTP_STATUS_OK;
-}
-
-static void get_rows_work_f32_f32(unsigned int n, unsigned int i, void *data) {
-    get_rows_thread_f32_f32((struct htp_ops_context *) data, n, i);
 }
 
 int op_get_rows(struct htp_ops_context * octx) {
     get_rows_preamble;
 
+    const uint32_t n_threads = MIN(nr, octx->n_threads);
+
     if (octx->src0.type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
@@ -95,12 +100,13 @@ int op_get_rows(struct htp_ops_context * octx) {
         return HTP_STATUS_OK;
     }
 
-    octx->get_rows_div_ne10      = init_fastdiv_values(octx->src1.ne[0]);
-    octx->get_rows_div_ne10_ne11 = init_fastdiv_values(octx->src1.ne[0] * octx->src1.ne[1]);
+    struct get_rows_context grctx;
+    grctx.octx = octx;
+    grctx.get_rows_div_ne10      = init_fastdiv_values(octx->src1.ne[0]);
+    grctx.get_rows_div_ne10_ne11 = init_fastdiv_values(octx->src1.ne[0] * octx->src1.ne[1]);
 
-    const uint32_t n_jobs = MIN(nr, octx->n_threads);
-    octx->src1_nrows_per_thread = (nr + n_jobs - 1) / n_jobs;
+    grctx.src1_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
-    worker_pool_run_func(octx->ctx->worker_pool, get_rows_work_f32_f32, octx, n_jobs);
+    worker_pool_run_func(octx->ctx->worker_pool, get_rows_thread_f32_f32, &grctx, n_threads);
     return HTP_STATUS_OK;
 }
diff --git a/ggml/src/ggml-hexagon/htp/hex-dma.h b/ggml/src/ggml-hexagon/htp/hex-dma.h
index d1ddb0ecbf0..350ab9d966f 100644
--- a/ggml/src/ggml-hexagon/htp/hex-dma.h
+++ b/ggml/src/ggml-hexagon/htp/hex-dma.h
@@ -102,7 +102,7 @@ static inline bool dma_queue_push(dma_queue * q,
     dmlink(q->tail, desc);
     q->tail = desc;
 
-    // FARF(ERROR, "dma-push: i %u len %u dst %p src %p\n", q->push_idx, len, dst, src);
+    // FARF(ERROR, "dma-push: i %u width %u nrows %d dst %p src %p\n", q->push_idx, width, nrows, dptr.dst, dptr.src);
     q->push_idx = (q->push_idx + 1) & q->idx_mask;
     return true;
 }
@@ -144,11 +144,37 @@ static inline dma_ptr dma_queue_pop(dma_queue * q) {
 
     dptr = q->dptr[q->pop_idx];
 
-    // FARF(ERROR, "dma-pop: i %u dst %p\n", q->pop_idx, dst);
+    // FARF(ERROR, "dma-pop: i %u dst %p src %p\n", q->pop_idx, dptr.dst, dptr.src);
     q->pop_idx = (q->pop_idx + 1) & q->idx_mask;
     return dptr;
 }
 
+static inline dma_ptr dma_queue_pop_nowait(dma_queue * q) {
+    dma_ptr dptr  = { NULL };
+
+    if (q->push_idx == q->pop_idx) {
+        return dptr;
+    }
+
+    dptr = q->dptr[q->pop_idx];
+
+    // FARF(ERROR, "dma-pop-nowait: i %u dst %p src %p\n", q->pop_idx, dptr.dst, dptr.src);
+    q->pop_idx = (q->pop_idx + 1) & q->idx_mask;
+    return dptr;
+}
+
+static inline bool dma_queue_empty(dma_queue * q) {
+    return q->push_idx == q->pop_idx;
+}
+
+static inline uint32_t dma_queue_depth(dma_queue * q) {
+    return (q->push_idx - q->pop_idx) & q->idx_mask;
+}
+
+static inline uint32_t dma_queue_capacity(dma_queue * q) {
+    return q->capacity;
+}
+
 #ifdef __cplusplus
 }  // extern "C"
 #endif
diff --git a/ggml/src/ggml-hexagon/htp/htp-msg.h b/ggml/src/ggml-hexagon/htp/htp-msg.h
index 25403bb1126..52dcc36d8f7 100644
--- a/ggml/src/ggml-hexagon/htp/htp-msg.h
+++ b/ggml/src/ggml-hexagon/htp/htp-msg.h
@@ -68,6 +68,7 @@ enum htp_op {
     HTP_OP_SQR,
     HTP_OP_SQRT,
     HTP_OP_SUM_ROWS,
+    HTP_OP_SSM_CONV,
     INVALID
 };
 
diff --git a/ggml/src/ggml-hexagon/htp/htp-ops.h b/ggml/src/ggml-hexagon/htp/htp-ops.h
index c0d72587ce5..2ef20936f1b 100644
--- a/ggml/src/ggml-hexagon/htp/htp-ops.h
+++ b/ggml/src/ggml-hexagon/htp/htp-ops.h
@@ -41,48 +41,6 @@ struct htp_ops_context {
     worker_pool_context_t * wpool;      // worker pool
     uint32_t                n_threads;  // num threads
 
-    uint32_t src0_nrows_per_thread;
-    uint32_t src1_nrows_per_thread;
-
-    struct fastdiv_values src0_div1;  // fastdiv values for ne1
-    struct fastdiv_values src0_div2;  // fastdiv values for ne2
-    struct fastdiv_values src0_div3;  // fastdiv values for ne3
-    struct fastdiv_values src0_div21; // fastdiv values for ne2 * ne1
-
-    struct fastdiv_values src1_div1;  // fastdiv values for ne1
-    struct fastdiv_values src1_div2;  // fastdiv values for ne2
-    struct fastdiv_values src1_div3;  // fastdiv values for ne3
-    struct fastdiv_values src1_div21; // fastdiv values for ne2 * ne1
-
-    struct fastdiv_values src3_div1;  // fastdiv values for ne1
-    struct fastdiv_values src3_div2;  // fastdiv values for ne2
-    struct fastdiv_values src3_div3;  // fastdiv values for ne3
-    struct fastdiv_values src3_div21; // fastdiv values for ne2 * ne1
-
-    struct fastdiv_values broadcast_rk2;
-    struct fastdiv_values broadcast_rk3;
-    struct fastdiv_values broadcast_rv2;
-    struct fastdiv_values broadcast_rv3;
-
-    struct fastdiv_values mm_div_ne12_ne1; // fastdiv values for ne12 * ne1
-    struct fastdiv_values mm_div_ne1;      // fastdiv values for ne1
-    struct fastdiv_values mm_div_r2;       // fastdiv values for ne12 / ne02
-    struct fastdiv_values mm_div_r3;       // fastdiv values for ne13 / ne03
-
-    struct fastdiv_values set_rows_div_ne12; // fastdiv values for ne12
-    struct fastdiv_values set_rows_div_ne11; // fastdiv values for ne11
-
-    struct fastdiv_values get_rows_div_ne10;      // fastdiv values for ne10
-    struct fastdiv_values get_rows_div_ne10_ne11; // fastdiv values for ne10 * ne11
-
-    struct fastdiv_values cpy_div_ne01; // fastdiv values for ne01
-    struct fastdiv_values cpy_div_ne02; // fastdiv values for ne02
-    struct fastdiv_values cpy_div_ne03; // fastdiv values for ne03
-
-    struct fastdiv_values cpy_rshp_div_n0;       // fastdiv values for ne00
-    struct fastdiv_values cpy_rshp_div_n1n0;     // fastdiv values for ne00*ne01
-    struct fastdiv_values cpy_rshp_div_n2n1n0;   // fastdiv values for ne00*ne01*ne02
-
     uint32_t flags;
 };
 
@@ -100,5 +58,6 @@ int op_set_rows(struct htp_ops_context * octx);
 int op_get_rows(struct htp_ops_context * octx);
 int op_cpy(struct htp_ops_context * octx);
 int op_argsort(struct htp_ops_context * octx);
+int op_ssm_conv(struct htp_ops_context * octx);
 
 #endif /* HTP_OPS_H */
diff --git a/ggml/src/ggml-hexagon/htp/hvx-arith.h b/ggml/src/ggml-hexagon/htp/hvx-arith.h
index 2577cdd0418..82e3416970b 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-arith.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-arith.h
@@ -13,14 +13,15 @@
 // Binary operations (add, mul, sub)
 //
 
-#define hvx_arith_loop_body(dst_type, src0_type, src1_type, vec_store, vec_op) \
+#define UNUSED(x) (void)(x)
+
+#define hvx_arith_loop_body(dst_type, src0_type, src1_type, elem_size, vec_store, vec_op) \
     do {                                                                       \
         dst_type * restrict vdst  = (dst_type *) dst;                          \
         src0_type * restrict vsrc0 = (src0_type *) src0;                       \
         src1_type * restrict vsrc1 = (src1_type *) src1;                       \
                                                                                \
-        const uint32_t elem_size = sizeof(float);                              \
-        const uint32_t epv  = 128 / elem_size;                                 \
+        const uint32_t epv  = 128 / (elem_size);                               \
         const uint32_t nvec = n / epv;                                         \
         const uint32_t nloe = n % epv;                                         \
                                                                                \
@@ -32,62 +33,74 @@
         }                                                                      \
         if (nloe) {                                                            \
             HVX_Vector v = vec_op(vsrc0[i], vsrc1[i]);                         \
-            vec_store((void *) &vdst[i], nloe * elem_size, v);                 \
+            vec_store((void *) &vdst[i], nloe * (elem_size), v);               \
         }                                                                      \
     } while(0)
 
 #if __HVX_ARCH__ < 79
-#define HVX_OP_ADD(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b))
-#define HVX_OP_SUB(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(a, b))
-#define HVX_OP_MUL(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
+
+#define HVX_OP_ADD_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b))
+#define HVX_OP_SUB_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(a, b))
+#define HVX_OP_MUL_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
+
 #else
-#define HVX_OP_ADD(a, b) Q6_Vsf_vadd_VsfVsf(a, b)
-#define HVX_OP_SUB(a, b) Q6_Vsf_vsub_VsfVsf(a, b)
-#define HVX_OP_MUL(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
+
+#define HVX_OP_ADD_F32(a, b) Q6_Vsf_vadd_VsfVsf(a, b)
+#define HVX_OP_SUB_F32(a, b) Q6_Vsf_vsub_VsfVsf(a, b)
+#define HVX_OP_MUL_F32(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
+
 #endif
 
+#define HVX_OP_ADD_F16(a, b) hvx_vec_add_f16_f16(a, b)
+#define HVX_OP_SUB_F16(a, b) hvx_vec_sub_f16_f16(a, b)
+#define HVX_OP_MUL_F16(a, b) hvx_vec_mul_f16_f16(a, b)
+
 // Generic macro to define alignment permutations for an op
-#define DEFINE_HVX_BINARY_OP_VARIANTS(OP_NAME, OP_MACRO) \
+#define DEFINE_HVX_BINARY_OP_VARIANTS(OP_NAME, OP_MACRO, ELEM_TYPE) \
 static inline void OP_NAME##_aaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) dst % 128 == 0); \
     assert((uintptr_t) src0 % 128 == 0); \
     assert((uintptr_t) src1 % 128 == 0); \
-    hvx_arith_loop_body(HVX_Vector, HVX_Vector, HVX_Vector, hvx_vec_store_a, OP_MACRO); \
+    hvx_arith_loop_body(HVX_Vector, HVX_Vector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
 } \
 static inline void OP_NAME##_aau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) dst % 128 == 0); \
     assert((uintptr_t) src0 % 128 == 0); \
-    hvx_arith_loop_body(HVX_Vector, HVX_Vector, HVX_UVector, hvx_vec_store_a, OP_MACRO); \
+    hvx_arith_loop_body(HVX_Vector, HVX_Vector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
 } \
 static inline void OP_NAME##_aua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) dst % 128 == 0); \
     assert((uintptr_t) src1 % 128 == 0); \
-    hvx_arith_loop_body(HVX_Vector, HVX_UVector, HVX_Vector, hvx_vec_store_a, OP_MACRO); \
+    hvx_arith_loop_body(HVX_Vector, HVX_UVector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
 } \
 static inline void OP_NAME##_auu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) dst % 128 == 0); \
-    hvx_arith_loop_body(HVX_Vector, HVX_UVector, HVX_UVector, hvx_vec_store_a, OP_MACRO); \
+    hvx_arith_loop_body(HVX_Vector, HVX_UVector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
 } \
 static inline void OP_NAME##_uaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) src0 % 128 == 0); \
     assert((uintptr_t) src1 % 128 == 0); \
-    hvx_arith_loop_body(HVX_UVector, HVX_Vector, HVX_Vector, hvx_vec_store_u, OP_MACRO); \
+    hvx_arith_loop_body(HVX_UVector, HVX_Vector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
 } \
 static inline void OP_NAME##_uau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) src0 % 128 == 0); \
-    hvx_arith_loop_body(HVX_UVector, HVX_Vector, HVX_UVector, hvx_vec_store_u, OP_MACRO); \
+    hvx_arith_loop_body(HVX_UVector, HVX_Vector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
 } \
 static inline void OP_NAME##_uua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
     assert((uintptr_t) src1 % 128 == 0); \
-    hvx_arith_loop_body(HVX_UVector, HVX_UVector, HVX_Vector, hvx_vec_store_u, OP_MACRO); \
+    hvx_arith_loop_body(HVX_UVector, HVX_UVector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
 } \
 static inline void OP_NAME##_uuu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
-    hvx_arith_loop_body(HVX_UVector, HVX_UVector, HVX_UVector, hvx_vec_store_u, OP_MACRO); \
+    hvx_arith_loop_body(HVX_UVector, HVX_UVector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
 } \
 
-DEFINE_HVX_BINARY_OP_VARIANTS(hvx_add_f32, HVX_OP_ADD)
-DEFINE_HVX_BINARY_OP_VARIANTS(hvx_sub_f32, HVX_OP_SUB)
-DEFINE_HVX_BINARY_OP_VARIANTS(hvx_mul_f32, HVX_OP_MUL)
+DEFINE_HVX_BINARY_OP_VARIANTS(hvx_add_f32, HVX_OP_ADD_F32, float)
+DEFINE_HVX_BINARY_OP_VARIANTS(hvx_sub_f32, HVX_OP_SUB_F32, float)
+DEFINE_HVX_BINARY_OP_VARIANTS(hvx_mul_f32, HVX_OP_MUL_F32, float)
+
+DEFINE_HVX_BINARY_OP_VARIANTS(hvx_add_f16, HVX_OP_ADD_F16, _Float16)
+DEFINE_HVX_BINARY_OP_VARIANTS(hvx_sub_f16, HVX_OP_SUB_F16, _Float16)
+DEFINE_HVX_BINARY_OP_VARIANTS(hvx_mul_f16, HVX_OP_MUL_F16, _Float16)
 
 // Dispatcher logic
 #define HVX_BINARY_DISPATCHER(OP_NAME) \
@@ -115,6 +128,10 @@ HVX_BINARY_DISPATCHER(hvx_add_f32)
 HVX_BINARY_DISPATCHER(hvx_sub_f32)
 HVX_BINARY_DISPATCHER(hvx_mul_f32)
 
+HVX_BINARY_DISPATCHER(hvx_add_f16)
+HVX_BINARY_DISPATCHER(hvx_sub_f16)
+HVX_BINARY_DISPATCHER(hvx_mul_f16)
+
 // Mul-Mul Optimized
 static inline void hvx_mul_mul_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, const uint8_t * restrict src2, const uint32_t num_elems) {
     assert((unsigned long) dst % 128 == 0);
@@ -136,26 +153,25 @@ static inline void hvx_mul_mul_f32_aa(uint8_t * restrict dst, const uint8_t * re
 
     _Pragma("unroll(4)")
     for (; i < nvec; i++) {
-        HVX_Vector v1 = HVX_OP_MUL(vsrc0[i], vsrc1[i]);
+        HVX_Vector v1 = HVX_OP_MUL_F32(vsrc0[i], vsrc1[i]);
         vdst[i] = HVX_OP_MUL(v1, vsrc2[i]);
     }
 
     if (nloe) {
-        HVX_Vector v1 = HVX_OP_MUL(vsrc0[i], vsrc1[i]);
-        HVX_Vector v2 = HVX_OP_MUL(v1, vsrc2[i]);
+        HVX_Vector v1 = HVX_OP_MUL_F32(vsrc0[i], vsrc1[i]);
+        HVX_Vector v2 = HVX_OP_MUL_F32(v1, vsrc2[i]);
         hvx_vec_store_a((void *) &vdst[i], nloe * elem_size, v2);
     }
 }
 
 // Scalar Operations
 
-#define hvx_scalar_loop_body(dst_type, src_type, vec_store, scalar_op_macro)   \
+#define hvx_scalar_loop_body(dst_type, src_type, elem_size, vec_store, scalar_op_macro)   \
     do {                                                                       \
         dst_type * restrict vdst = (dst_type *) dst;                           \
         src_type * restrict vsrc = (src_type *) src;                           \
                                                                                \
-        const uint32_t elem_size = sizeof(float);                              \
-        const uint32_t epv  = 128 / elem_size;                                 \
+        const uint32_t epv  = 128 / (elem_size);                               \
         const uint32_t nvec = n / epv;                                         \
         const uint32_t nloe = n % epv;                                         \
                                                                                \
@@ -169,138 +185,88 @@ static inline void hvx_mul_mul_f32_aa(uint8_t * restrict dst, const uint8_t * re
         if (nloe) {                                                            \
             HVX_Vector v = vsrc[i];                                            \
             v = scalar_op_macro(v);                                            \
-            vec_store((void *) &vdst[i], nloe * elem_size, v);                 \
+            vec_store((void *) &vdst[i], nloe * (elem_size), v);               \
         }                                                                      \
     } while(0)
 
-#define HVX_OP_ADD_SCALAR(v) \
+#define HVX_OP_ADD_SCALAR_F32(v) \
     ({ \
         const HVX_VectorPred pred_inf = Q6_Q_vcmp_eq_VwVw(inf, v); \
-        HVX_Vector out = HVX_OP_ADD(v, val_vec); \
+        HVX_Vector out = HVX_OP_ADD_F32(v, val_vec); \
         Q6_V_vmux_QVV(pred_inf, inf, out); \
     })
 
-#define HVX_OP_MUL_SCALAR(v) HVX_OP_MUL(v, val_vec)
-#define HVX_OP_SUB_SCALAR(v) HVX_OP_SUB(v, val_vec)
-
-// Add Scalar Variants
-
-static inline void hvx_add_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    const HVX_Vector inf = hvx_vec_splat_f32(INFINITY);
-    assert((unsigned long) dst % 128 == 0);
-    assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a, HVX_OP_ADD_SCALAR);
-}
-
-static inline void hvx_add_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    const HVX_Vector inf = hvx_vec_splat_f32(INFINITY);
-    assert((unsigned long) dst % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a, HVX_OP_ADD_SCALAR);
-}
-
-static inline void hvx_add_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    const HVX_Vector inf = hvx_vec_splat_f32(INFINITY);
-    assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u, HVX_OP_ADD_SCALAR);
-}
-
-static inline void hvx_add_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    static const float kInf = INFINITY;
-    const HVX_Vector inf = hvx_vec_splat_f32(kInf);
-    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u, HVX_OP_ADD_SCALAR);
-}
-
-// Sub Scalar Variants
+#define HVX_OP_MUL_SCALAR_F32(v) HVX_OP_MUL_F32(v, val_vec)
+#define HVX_OP_SUB_SCALAR_F32(v) HVX_OP_SUB_F32(v, val_vec)
 
-static inline void hvx_sub_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    assert((unsigned long) dst % 128 == 0);
-    assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a, HVX_OP_SUB_SCALAR);
-}
-
-static inline void hvx_sub_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    assert((unsigned long) dst % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a, HVX_OP_SUB_SCALAR);
-}
-
-static inline void hvx_sub_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u, HVX_OP_SUB_SCALAR);
-}
-
-static inline void hvx_sub_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u, HVX_OP_SUB_SCALAR);
-}
+#define HVX_OP_ADD_SCALAR_F16(v) \
+    ({ \
+        const HVX_VectorPred pred_inf = Q6_Q_vcmp_eq_VhVh(inf, v); \
+        HVX_Vector out = HVX_OP_ADD_F16(v, val_vec); \
+        Q6_V_vmux_QVV(pred_inf, inf, out); \
+    })
 
-// Mul Scalar Variants
+#define HVX_OP_MUL_SCALAR_F16(v) HVX_OP_MUL_F16(v, val_vec)
+#define HVX_OP_SUB_SCALAR_F16(v) HVX_OP_SUB_F16(v, val_vec)
 
-static inline void hvx_mul_scalar_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    assert((unsigned long) dst % 128 == 0);
-    assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a, HVX_OP_MUL_SCALAR);
-}
+// Scalar Variants
 
-static inline void hvx_mul_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    assert((unsigned long) dst % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a, HVX_OP_MUL_SCALAR);
-}
+// Generic macro to define alignment permutations for an op
+#define DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(OP_NAME, OP_MACRO, SPLAT_MACRO, ELEM_TYPE) \
+static inline void OP_NAME##_aa(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
+    const HVX_Vector val_vec = SPLAT_MACRO(val); \
+    const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
+    assert((uintptr_t) dst % 128 == 0); \
+    assert((uintptr_t) src % 128 == 0); \
+    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
+} \
+static inline void OP_NAME##_au(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
+    const HVX_Vector val_vec = SPLAT_MACRO(val); \
+    const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
+    assert((uintptr_t) dst % 128 == 0); \
+    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_a, OP_MACRO); \
+} \
+static inline void OP_NAME##_ua(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
+    const HVX_Vector val_vec = SPLAT_MACRO(val); \
+    const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
+    assert((uintptr_t) src % 128 == 0); \
+    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
+} \
+static inline void OP_NAME##_uu(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, uint32_t n) { \
+    const HVX_Vector val_vec = SPLAT_MACRO(val); \
+    const HVX_Vector inf = SPLAT_MACRO((ELEM_TYPE)INFINITY); UNUSED(inf); \
+    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(ELEM_TYPE), hvx_vec_store_u, OP_MACRO); \
+} \
 
-static inline void hvx_mul_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u, HVX_OP_MUL_SCALAR);
-}
+DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_add_scalar_f32, HVX_OP_ADD_SCALAR_F32, hvx_vec_splat_f32, float)
+DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_sub_scalar_f32, HVX_OP_SUB_SCALAR_F32, hvx_vec_splat_f32, float)
+DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_mul_scalar_f32, HVX_OP_MUL_SCALAR_F32, hvx_vec_splat_f32, float)
 
-static inline void hvx_mul_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
-    const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u, HVX_OP_MUL_SCALAR);
-}
+DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_add_scalar_f16, HVX_OP_ADD_SCALAR_F16, hvx_vec_splat_f16, _Float16)
+DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_sub_scalar_f16, HVX_OP_SUB_SCALAR_F16, hvx_vec_splat_f16, _Float16)
+DEFINE_HVX_BINARY_SCALAR_OP_VARIANTS(hvx_mul_scalar_f16, HVX_OP_MUL_SCALAR_F16, hvx_vec_splat_f16, _Float16)
 
-static inline void hvx_add_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float val, const int num_elems) {
-    if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
-        hvx_add_scalar_f32_aa(dst, src, val, num_elems);
-    } else if (hex_is_aligned((void *) dst, 128)) {
-        hvx_add_scalar_f32_au(dst, src, val, num_elems);
-    } else if (hex_is_aligned((void *) src, 128)) {
-        hvx_add_scalar_f32_ua(dst, src, val, num_elems);
-    } else {
-        hvx_add_scalar_f32_uu(dst, src, val, num_elems);
-    }
+// Dispatcher logic
+#define HVX_BINARY_SCALAR_DISPATCHER(OP_NAME, ELEM_TYPE) \
+static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src, const ELEM_TYPE val, const uint32_t num_elems) { \
+    if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) { \
+        OP_NAME##_aa(dst, src, val, num_elems); \
+    } else if (hex_is_aligned((void *) dst, 128)) { \
+        OP_NAME##_au(dst, src, val, num_elems); \
+    } else if (hex_is_aligned((void *) src, 128)) { \
+        OP_NAME##_ua(dst, src, val, num_elems); \
+    } else { \
+        OP_NAME##_uu(dst, src, val, num_elems); \
+    } \
 }
 
-static inline void hvx_mul_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float val, const int num_elems) {
-    if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
-        hvx_mul_scalar_f32_aa(dst, src, val, num_elems);
-    } else if (hex_is_aligned((void *) dst, 128)) {
-        hvx_mul_scalar_f32_au(dst, src, val, num_elems);
-    } else if (hex_is_aligned((void *) src, 128)) {
-        hvx_mul_scalar_f32_ua(dst, src, val, num_elems);
-    } else {
-        hvx_mul_scalar_f32_uu(dst, src, val, num_elems);
-    }
-}
+HVX_BINARY_SCALAR_DISPATCHER(hvx_add_scalar_f32, float)
+HVX_BINARY_SCALAR_DISPATCHER(hvx_sub_scalar_f32, float)
+HVX_BINARY_SCALAR_DISPATCHER(hvx_mul_scalar_f32, float)
 
-static inline void hvx_sub_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float val, const int num_elems) {
-    if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) {
-        hvx_sub_scalar_f32_aa(dst, src, val, num_elems);
-    } else if (hex_is_aligned((void *) dst, 128)) {
-        hvx_sub_scalar_f32_au(dst, src, val, num_elems);
-    } else if (hex_is_aligned((void *) src, 128)) {
-        hvx_sub_scalar_f32_ua(dst, src, val, num_elems);
-    } else {
-        hvx_sub_scalar_f32_uu(dst, src, val, num_elems);
-    }
-}
+HVX_BINARY_SCALAR_DISPATCHER(hvx_add_scalar_f16, _Float16)
+HVX_BINARY_SCALAR_DISPATCHER(hvx_sub_scalar_f16, _Float16)
+HVX_BINARY_SCALAR_DISPATCHER(hvx_mul_scalar_f16, _Float16)
 
 // MIN Scalar variants
 
@@ -310,24 +276,24 @@ static inline void hvx_min_scalar_f32_aa(uint8_t * restrict dst, const uint8_t *
     const HVX_Vector val_vec = hvx_vec_splat_f32(val);
     assert((unsigned long) dst % 128 == 0);
     assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a, HVX_OP_MIN_SCALAR);
+    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(float), hvx_vec_store_a, HVX_OP_MIN_SCALAR);
 }
 
 static inline void hvx_min_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
     const HVX_Vector val_vec = hvx_vec_splat_f32(val);
     assert((unsigned long) dst % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a, HVX_OP_MIN_SCALAR);
+    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(float), hvx_vec_store_a, HVX_OP_MIN_SCALAR);
 }
 
 static inline void hvx_min_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
     const HVX_Vector val_vec = hvx_vec_splat_f32(val);
     assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u, HVX_OP_MIN_SCALAR);
+    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(float), hvx_vec_store_u, HVX_OP_MIN_SCALAR);
 }
 
 static inline void hvx_min_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float val, uint32_t n) {
     const HVX_Vector val_vec = hvx_vec_splat_f32(val);
-    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u, HVX_OP_MIN_SCALAR);
+    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(float), hvx_vec_store_u, HVX_OP_MIN_SCALAR);
 }
 
 static inline void hvx_min_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float val, const int num_elems) {
@@ -357,27 +323,27 @@ static inline void hvx_clamp_scalar_f32_aa(uint8_t * restrict dst, const uint8_t
     const HVX_Vector max_vec = hvx_vec_splat_f32(max);
     assert((unsigned long) dst % 128 == 0);
     assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a, HVX_OP_CLAMP_SCALAR);
+    hvx_scalar_loop_body(HVX_Vector, HVX_Vector, sizeof(float), hvx_vec_store_a, HVX_OP_CLAMP_SCALAR);
 }
 
 static inline void hvx_clamp_scalar_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
     const HVX_Vector min_vec = hvx_vec_splat_f32(min);
     const HVX_Vector max_vec = hvx_vec_splat_f32(max);
     assert((unsigned long) dst % 128 == 0);
-    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a, HVX_OP_CLAMP_SCALAR);
+    hvx_scalar_loop_body(HVX_Vector, HVX_UVector, sizeof(float), hvx_vec_store_a, HVX_OP_CLAMP_SCALAR);
 }
 
 static inline void hvx_clamp_scalar_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
     const HVX_Vector min_vec = hvx_vec_splat_f32(min);
     const HVX_Vector max_vec = hvx_vec_splat_f32(max);
     assert((unsigned long) src % 128 == 0);
-    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u, HVX_OP_CLAMP_SCALAR);
+    hvx_scalar_loop_body(HVX_UVector, HVX_Vector, sizeof(float), hvx_vec_store_u, HVX_OP_CLAMP_SCALAR);
 }
 
 static inline void hvx_clamp_scalar_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, uint32_t n) {
     const HVX_Vector min_vec = hvx_vec_splat_f32(min);
     const HVX_Vector max_vec = hvx_vec_splat_f32(max);
-    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u, HVX_OP_CLAMP_SCALAR);
+    hvx_scalar_loop_body(HVX_UVector, HVX_UVector, sizeof(float), hvx_vec_store_u, HVX_OP_CLAMP_SCALAR);
 }
 
 static inline void hvx_clamp_scalar_f32(uint8_t * restrict dst, const uint8_t * restrict src, const float min, const float max, const int num_elems) {
@@ -396,7 +362,7 @@ static inline void hvx_clamp_scalar_f32(uint8_t * restrict dst, const uint8_t *
 // Square
 //
 
-#define hvx_sqr_loop_body(dst_type, src_type, vec_store)           \
+#define hvx_sqr_f32_loop_body(dst_type, src_type, vec_store)           \
     do {                                                                   \
         dst_type * restrict vdst  = (dst_type *) dst;                      \
         src_type * restrict vsrc = (src_type *) src;                       \
@@ -410,10 +376,10 @@ static inline void hvx_clamp_scalar_f32(uint8_t * restrict dst, const uint8_t *
                                                                            \
         _Pragma("unroll(4)")                                               \
         for (; i < nvec; i++) {                                            \
-            vdst[i] = HVX_OP_MUL(vsrc[i], vsrc[i]);                        \
+            vdst[i] = HVX_OP_MUL_F32(vsrc[i], vsrc[i]);                        \
         }                                                                  \
         if (nloe) {                                                        \
-            HVX_Vector v = HVX_OP_MUL(vsrc[i], vsrc[i]);                   \
+            HVX_Vector v = HVX_OP_MUL_F32(vsrc[i], vsrc[i]);                   \
             vec_store((void *) &vdst[i], nloe * elem_size, v);             \
         }                                                                  \
     } while(0)
@@ -421,21 +387,21 @@ static inline void hvx_clamp_scalar_f32(uint8_t * restrict dst, const uint8_t *
 static inline void hvx_sqr_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
     assert((unsigned long) dst % 128 == 0);
     assert((unsigned long) src % 128 == 0);
-    hvx_sqr_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
+    hvx_sqr_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
 }
 
 static inline void hvx_sqr_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
     assert((unsigned long) dst % 128 == 0);
-    hvx_sqr_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
+    hvx_sqr_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
 }
 
 static inline void hvx_sqr_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
     assert((unsigned long) src % 128 == 0);
-    hvx_sqr_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
+    hvx_sqr_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
 }
 
 static inline void hvx_sqr_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
-    hvx_sqr_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
+    hvx_sqr_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
 }
 
 static inline void hvx_sqr_f32(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t num_elems) {
@@ -454,17 +420,24 @@ static inline void hvx_sqr_f32(uint8_t * restrict dst, const uint8_t * restrict
     }
 }
 
-#undef HVX_OP_ADD
-#undef HVX_OP_SUB
-#undef HVX_OP_MUL
+#undef HVX_OP_ADD_F32
+#undef HVX_OP_SUB_F32
+#undef HVX_OP_MUL_F32
+#undef HVX_OP_ADD_F16
+#undef HVX_OP_SUB_F16
+#undef HVX_OP_MUL_F16
 #undef hvx_arith_loop_body
-#undef HVX_OP_ADD_SCALAR
-#undef HVX_OP_SUB_SCALAR
-#undef HVX_OP_MUL_SCALAR
+#undef HVX_OP_ADD_SCALAR_F32
+#undef HVX_OP_SUB_SCALAR_F32
+#undef HVX_OP_MUL_SCALAR_F32
+#undef HVX_OP_ADD_SCALAR_F16
+#undef HVX_OP_SUB_SCALAR_F16
+#undef HVX_OP_MUL_SCALAR_F16
 #undef hvx_scalar_loop_body
 #undef HVX_OP_MIN_SCALAR
 #undef HVX_OP_CLAMP_SCALAR
 #undef DEFINE_HVX_BINARY_OP_VARIANTS
 #undef HVX_BINARY_DISPATCHER
+#undef UNUSED
 
 #endif // HVX_ARITH_H
diff --git a/ggml/src/ggml-hexagon/htp/hvx-base.h b/ggml/src/ggml-hexagon/htp/hvx-base.h
index 12a1b7f1288..578ca288fb6 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-base.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-base.h
@@ -38,7 +38,7 @@ static inline HVX_Vector hvx_vec_splat_f32(float v) {
     return Q6_V_vsplat_R(u.i);
 }
 
-static inline HVX_Vector hvx_vec_splat_f16(float v) {
+static inline HVX_Vector hvx_vec_splat_f16(_Float16 v) {
     union { __fp16 f; uint16_t i; } u = { .f = v };
     return Q6_Vh_vsplat_R(u.i);
 }
@@ -170,4 +170,71 @@ static inline HVX_Vector hvx_vec_i16_from_hf_rnd_sat(HVX_Vector vin) {
     return Q6_Vh_vround_VwVw_sat(vsf_1, vsf_0);
 }
 
+#if __HVX_ARCH__ < 79
+
+static inline HVX_VectorPair hvx_vec_mpyacc_f32_f16(HVX_VectorPair acc, HVX_Vector x, HVX_Vector y)
+{
+    HVX_VectorPair m = Q6_Wqf32_vmpy_VhfVhf(x, y);
+    HVX_Vector a0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_lo_W(m), Q6_V_lo_W(acc)));
+    HVX_Vector a1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(Q6_V_hi_W(m), Q6_V_hi_W(acc)));
+    return Q6_W_vcombine_VV(a1, a0);
+}
+
+#else
+
+static inline HVX_VectorPair hvx_vec_mpyacc_f32_f16(HVX_VectorPair acc, HVX_Vector x, HVX_Vector y)
+{
+    return Q6_Wsf_vmpyacc_WsfVhfVhf(acc, x, y);
+}
+
+#endif
+
+#if __HVX_ARCH__ < 79
+
+static inline HVX_Vector hvx_vec_add_f16_f16(HVX_Vector a, HVX_Vector b)
+{
+    const HVX_Vector negone = Q6_Vh_vsplat_R(0xBC00); // -1.0 in IEEE FP16
+    const HVX_Vector one    = Q6_Vh_vsplat_R(0x3C00); //  1.0 in IEEE FP16
+    HVX_VectorPair a_p = Q6_Wqf32_vmpy_VhfVhf(a, one);
+    HVX_VectorPair b_p = Q6_Wqf32_vmpy_VhfVhf(b, negone);
+    HVX_Vector a0 = Q6_Vqf32_vsub_Vqf32Vqf32(Q6_V_lo_W(a_p), Q6_V_lo_W(b_p));
+    HVX_Vector a1 = Q6_Vqf32_vsub_Vqf32Vqf32(Q6_V_hi_W(a_p), Q6_V_hi_W(b_p));
+    return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(a1, a0));
+}
+
+static inline HVX_Vector hvx_vec_sub_f16_f16(HVX_Vector a, HVX_Vector b)
+{
+    const HVX_Vector negone = Q6_Vh_vsplat_R(0xBC00); // -1.0 in IEEE FP16
+    const HVX_Vector one    = Q6_Vh_vsplat_R(0x3C00); //  1.0 in IEEE FP16
+    HVX_VectorPair a_p = Q6_Wqf32_vmpy_VhfVhf(a, one);
+    HVX_VectorPair b_p = Q6_Wqf32_vmpy_VhfVhf(b, negone);
+    HVX_Vector a0 = Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(a_p), Q6_V_lo_W(b_p));
+    HVX_Vector a1 = Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_hi_W(a_p), Q6_V_hi_W(b_p));
+    return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(a1, a0));
+}
+
+static inline HVX_Vector hvx_vec_mul_f16_f16(HVX_Vector a, HVX_Vector b)
+{
+    return Q6_Vhf_equals_Wqf32(Q6_Wqf32_vmpy_VhfVhf(a, b));
+}
+
+#else
+
+static inline HVX_Vector hvx_vec_add_f16_f16(HVX_Vector a, HVX_Vector b)
+{
+    return Q6_Vhf_vadd_VhfVhf(a, b);
+}
+
+static inline HVX_Vector hvx_vec_sub_f16_f16(HVX_Vector a, HVX_Vector b)
+{
+    return Q6_Vhf_vsub_VhfVhf(a, b);
+}
+
+static inline HVX_Vector hvx_vec_mul_f16_f16(HVX_Vector a, HVX_Vector b)
+{
+    return Q6_Vhf_vmpy_VhfVhf(a, b);
+}
+
+#endif // __HVX_ARCH__ < 79
+
 #endif /* HVX_BASE_H */
diff --git a/ggml/src/ggml-hexagon/htp/hvx-copy.h b/ggml/src/ggml-hexagon/htp/hvx-copy.h
index ae0dbed0306..851482e01b2 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-copy.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-copy.h
@@ -42,11 +42,11 @@ static inline void hvx_splat_f32_u(uint8_t * restrict dst, float v, uint32_t n)
     hvx_splat_u(dst,  hvx_vec_splat_f32(v), n, sizeof(float));
 }
 
-static inline void hvx_splat_f16_a(uint8_t * restrict dst, float v, uint32_t n) {
+static inline void hvx_splat_f16_a(uint8_t * restrict dst, _Float16 v, uint32_t n) {
     hvx_splat_u(dst,  hvx_vec_splat_f16(v), n, sizeof(__fp16));
 }
 
-static inline void hvx_splat_f16_u(uint8_t * restrict dst, float v, uint32_t n) {
+static inline void hvx_splat_f16_u(uint8_t * restrict dst, _Float16 v, uint32_t n) {
     hvx_splat_u(dst,  hvx_vec_splat_f16(v), n, sizeof(__fp16));
 }
 
diff --git a/ggml/src/ggml-hexagon/htp/hvx-div.h b/ggml/src/ggml-hexagon/htp/hvx-div.h
index 7dae012e0ed..05cefea039f 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-div.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-div.h
@@ -15,11 +15,144 @@
 #include "hvx-arith.h"
 
 #if __HVX_ARCH__ < 79
-#define HVX_OP_MUL(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
+#define HVX_OP_MUL_F32(a, b) Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b))
 #else
-#define HVX_OP_MUL(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
+#define HVX_OP_MUL_F32(a, b) Q6_Vsf_vmpy_VsfVsf(a, b)
 #endif
 
+// Compute div by scaler in f32. Requires first by expanding fp32 to fp16 and converting the result back to fp32.
+static inline HVX_Vector hvx_div_mul_f16_const_using_f32(HVX_Vector vec1_hf, HVX_Vector vec2_sf_const, HVX_Vector vec_hf_one_1_0) {
+#if __HVX_ARCH__ < 79
+    HVX_VectorPair src_to_f32 = Q6_Wqf32_vmpy_VhfVhf(vec1_hf, vec_hf_one_1_0);
+    HVX_Vector src_to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(src_to_f32));
+    HVX_Vector src_to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(src_to_f32));
+#else
+    HVX_VectorPair src_to_f32 = Q6_Wsf_vmpy_VhfVhf(vec1_hf, vec_hf_one_1_0);
+    HVX_Vector src_to_f32_0 = Q6_V_lo_W(src_to_f32);
+    HVX_Vector src_to_f32_1 = Q6_V_hi_W(src_to_f32);
+#endif
+
+    HVX_Vector div_f32_0 = HVX_OP_MUL_F32(src_to_f32_0, vec2_sf_const);
+    HVX_Vector div_f32_1 = HVX_OP_MUL_F32(src_to_f32_1, vec2_sf_const);
+
+#if __HVX_ARCH__ < 79
+    HVX_Vector res = hvx_vec_f32_to_f16(div_f32_0, div_f32_1);
+#else
+    HVX_Vector res = Q6_Vhf_vcvt_VsfVsf(div_f32_0, div_f32_1);
+#endif
+    return res;
+}
+
+#define hvx_div_scaler_f16_loop_body(dst_type, src_type, vec_store)                     \
+    do {                                                                                \
+        dst_type * restrict vdst = (dst_type *) dst;                                    \
+        src_type * restrict vsrc = (src_type *) src;                                    \
+        HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00);                                     \
+                                                                                        \
+        const uint32_t nvec = n / VLEN_FP16;                                            \
+        const uint32_t nloe = n % VLEN_FP16;                                            \
+                                                                                        \
+        uint32_t i = 0;                                                                 \
+                                                                                        \
+        _Pragma("unroll(4)")                                                            \
+        for (; i < nvec; i++) {                                                         \
+            HVX_Vector res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one); \
+            vdst[i] = res;                                                              \
+        }                                                                               \
+        if (nloe) {                                                                     \
+            HVX_Vector res = hvx_div_mul_f16_const_using_f32(vsrc[i], val_vec_f32, hf_one); \
+            vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res);                      \
+        }                                                                               \
+    } while(0)
+
+static inline void hvx_div_scalar_f16_aa(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
+    const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    assert((uintptr_t) dst % 128 == 0);
+    assert((uintptr_t) src % 128 == 0);
+    hvx_div_scaler_f16_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
+}
+static inline void hvx_div_scalar_f16_au(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
+    const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    assert((uintptr_t) dst % 128 == 0);
+    hvx_div_scaler_f16_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
+}
+static inline void hvx_div_scalar_f16_ua(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
+    const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    assert((uintptr_t) src % 128 == 0);
+    hvx_div_scaler_f16_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
+}
+static inline void hvx_div_scalar_f16_uu(uint8_t * restrict dst, const uint8_t * restrict src, const _Float16 val, uint32_t n) {
+    const HVX_Vector val_vec_f32 = hvx_vec_splat_f32(1.0f/((float)val));
+    hvx_div_scaler_f16_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
+}
+
+// Compute div by using hvx_vec_inverse_f32_guard. Requires first by exapnding fp32 to fp16 and convert the result back to fp32.
+static inline HVX_Vector hvx_vec_div_f16_using_f32(HVX_Vector vec1, HVX_Vector vec2, HVX_Vector f32_nan_inf_mask, HVX_Vector vec_hf_one_1_0) {
+#if __HVX_ARCH__ < 79
+    // Convert first input to fp32
+    HVX_VectorPair vec1_to_f32   = Q6_Wqf32_vmpy_VhfVhf(vec1, vec_hf_one_1_0);  // *1.0
+    HVX_Vector     vec1_to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vec1_to_f32));
+    HVX_Vector     vec1_to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(vec1_to_f32));
+
+    // Convert second input to fp32
+    HVX_VectorPair vec2_to_f32   = Q6_Wqf32_vmpy_VhfVhf(vec2, vec_hf_one_1_0);  // *1.0
+    HVX_Vector     vec2_to_f32_0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vec2_to_f32));
+    HVX_Vector     vec2_to_f32_1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(vec2_to_f32));
+#else
+    // Convert first input to fp32
+    HVX_VectorPair vec1_to_f32   = Q6_Wsf_vmpy_VhfVhf(vec1, vec_hf_one_1_0);  // *1.0
+    HVX_Vector     vec1_to_f32_0 = Q6_V_lo_W(vec1_to_f32);
+    HVX_Vector     vec1_to_f32_1 = Q6_V_hi_W(vec1_to_f32);
+
+    // Convert second input to fp32
+    HVX_VectorPair vec2_to_f32   = Q6_Wsf_vmpy_VhfVhf(vec2, vec_hf_one_1_0);  // *1.0
+    HVX_Vector     vec2_to_f32_0 = Q6_V_lo_W(vec2_to_f32);
+    HVX_Vector     vec2_to_f32_1 = Q6_V_hi_W(vec2_to_f32);
+#endif
+
+    // Inverse second input in fp32
+    HVX_Vector     vec2_inv_f32_0 = hvx_vec_inverse_f32_guard(vec2_to_f32_0, f32_nan_inf_mask);
+    HVX_Vector     vec2_inv_f32_1 = hvx_vec_inverse_f32_guard(vec2_to_f32_1, f32_nan_inf_mask);
+
+    // Multiply first input by inverse of second, in fp32
+    HVX_Vector     div_f32_0 = HVX_OP_MUL_F32(vec1_to_f32_0, vec2_inv_f32_0);
+    HVX_Vector     div_f32_1 = HVX_OP_MUL_F32(vec1_to_f32_1, vec2_inv_f32_1);
+
+    // Convert back to fp16
+#if __HVX_ARCH__ < 79
+    HVX_Vector     recip = hvx_vec_f32_to_f16(div_f32_0, div_f32_1);
+#else
+    HVX_Vector     recip = Q6_Vhf_vcvt_VsfVsf(div_f32_0, div_f32_1);
+#endif
+
+    return recip;
+}
+
+#define hvx_div_f16_loop_body(dst_type, src0_type, src1_type, vec_store)                  \
+    do {                                                                                  \
+        dst_type * restrict vdst = (dst_type *) dst;                                      \
+        src0_type * restrict vsrc0 = (src0_type *) src0;                                  \
+        src1_type * restrict vsrc1 = (src1_type *) src1;                                  \
+                                                                                          \
+        const HVX_Vector nan_inf_mask = Q6_V_vsplat_R(0x7f800000);                        \
+        const HVX_Vector hf_one = Q6_Vh_vsplat_R(0x3C00);                                 \
+                                                                                          \
+        const uint32_t nvec = n / VLEN_FP16;                                              \
+        const uint32_t nloe = n % VLEN_FP16;                                              \
+                                                                                          \
+        uint32_t i = 0;                                                                   \
+                                                                                          \
+        _Pragma("unroll(4)")                                                              \
+        for (; i < nvec; i++) {                                                           \
+            HVX_Vector res = hvx_vec_div_f16_using_f32(vsrc0[i], vsrc1[i], nan_inf_mask, hf_one); \
+            vdst[i] = res;                                                                \
+        }                                                                                 \
+        if (nloe) {                                                                       \
+            HVX_Vector res = hvx_vec_div_f16_using_f32(vsrc0[i], vsrc1[i], nan_inf_mask, hf_one); \
+            vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, res);                        \
+        }                                                                                 \
+    } while(0)
+
 #define hvx_div_f32_loop_body(dst_type, src0_type, src1_type, vec_store)             \
     do {                                                                             \
         dst_type * restrict vdst = (dst_type *) dst;                                 \
@@ -36,81 +169,83 @@
         _Pragma("unroll(4)")                                                         \
         for (; i < nvec; i++) {                                                      \
             HVX_Vector inv_src1 = hvx_vec_inverse_f32_guard(vsrc1[i], nan_inf_mask); \
-            HVX_Vector res = HVX_OP_MUL(vsrc0[i], inv_src1);                         \
+            HVX_Vector res = HVX_OP_MUL_F32(vsrc0[i], inv_src1);                     \
             vdst[i] = res;                                                           \
         }                                                                            \
         if (nloe) {                                                                  \
             HVX_Vector inv_src1 = hvx_vec_inverse_f32_guard(vsrc1[i], nan_inf_mask); \
-            HVX_Vector res = HVX_OP_MUL(vsrc0[i], inv_src1);                         \
+            HVX_Vector res = HVX_OP_MUL_F32(vsrc0[i], inv_src1);                     \
             vec_store((void *) &vdst[i], nloe * SIZEOF_FP32, res);                   \
         }                                                                            \
     } while(0)
 
-// 3-letter suffix variants
-static inline void hvx_div_f32_aaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) dst % 128 == 0);
-    assert((uintptr_t) src0 % 128 == 0);
-    assert((uintptr_t) src1 % 128 == 0);
-    hvx_div_f32_loop_body(HVX_Vector, HVX_Vector, HVX_Vector, hvx_vec_store_a);
-}
-
-static inline void hvx_div_f32_aau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) dst % 128 == 0);
-    assert((uintptr_t) src0 % 128 == 0);
-    hvx_div_f32_loop_body(HVX_Vector, HVX_Vector, HVX_UVector, hvx_vec_store_a);
+// Generic macro to define alignment permutations for an op
+#define DEFINE_HVX_DIV_OP_VARIANTS(OP_NAME, OP_LOOP_BODY) \
+static inline void OP_NAME##_aaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) dst % 128 == 0); \
+    assert((uintptr_t) src0 % 128 == 0); \
+    assert((uintptr_t) src1 % 128 == 0); \
+    OP_LOOP_BODY(HVX_Vector, HVX_Vector, HVX_Vector, hvx_vec_store_a); \
+} \
+static inline void OP_NAME##_aau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) dst % 128 == 0); \
+    assert((uintptr_t) src0 % 128 == 0); \
+    OP_LOOP_BODY(HVX_Vector, HVX_Vector, HVX_UVector, hvx_vec_store_a); \
+} \
+static inline void OP_NAME##_aua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) dst % 128 == 0); \
+    assert((uintptr_t) src1 % 128 == 0); \
+    OP_LOOP_BODY(HVX_Vector, HVX_UVector, HVX_Vector, hvx_vec_store_a); \
+} \
+static inline void OP_NAME##_auu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) dst % 128 == 0); \
+    OP_LOOP_BODY(HVX_Vector, HVX_UVector, HVX_UVector, hvx_vec_store_a); \
+} \
+static inline void OP_NAME##_uaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) src0 % 128 == 0); \
+    assert((uintptr_t) src1 % 128 == 0); \
+    OP_LOOP_BODY(HVX_UVector, HVX_Vector, HVX_Vector, hvx_vec_store_u); \
+} \
+static inline void OP_NAME##_uau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) src0 % 128 == 0); \
+    OP_LOOP_BODY(HVX_UVector, HVX_Vector, HVX_UVector, hvx_vec_store_u); \
+} \
+static inline void OP_NAME##_uua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    assert((uintptr_t) src1 % 128 == 0); \
+    OP_LOOP_BODY(HVX_UVector, HVX_UVector, HVX_Vector, hvx_vec_store_u); \
+} \
+static inline void OP_NAME##_uuu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) { \
+    OP_LOOP_BODY(HVX_UVector, HVX_UVector, HVX_UVector, hvx_vec_store_u); \
+} \
+
+// Dispatcher logic
+#define HVX_DIV_DISPATCHER(OP_NAME) \
+static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, const uint32_t num_elems) { \
+    if (hex_is_aligned((void *) dst, 128)) { \
+        if (hex_is_aligned((void *) src0, 128)) { \
+            if (hex_is_aligned((void *) src1, 128)) OP_NAME##_aaa(dst, src0, src1, num_elems); \
+            else                                    OP_NAME##_aau(dst, src0, src1, num_elems); \
+        } else { \
+            if (hex_is_aligned((void *) src1, 128)) OP_NAME##_aua(dst, src0, src1, num_elems); \
+            else                                    OP_NAME##_auu(dst, src0, src1, num_elems); \
+        } \
+    } else { \
+        if (hex_is_aligned((void *) src0, 128)) { \
+            if (hex_is_aligned((void *) src1, 128)) OP_NAME##_uaa(dst, src0, src1, num_elems); \
+            else                                    OP_NAME##_uau(dst, src0, src1, num_elems); \
+        } else { \
+            if (hex_is_aligned((void *) src1, 128)) OP_NAME##_uua(dst, src0, src1, num_elems); \
+            else                                    OP_NAME##_uuu(dst, src0, src1, num_elems); \
+        } \
+    } \
 }
 
-static inline void hvx_div_f32_aua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) dst % 128 == 0);
-    assert((uintptr_t) src1 % 128 == 0);
-    hvx_div_f32_loop_body(HVX_Vector, HVX_UVector, HVX_Vector, hvx_vec_store_a);
-}
+DEFINE_HVX_DIV_OP_VARIANTS(hvx_div_f32, hvx_div_f32_loop_body)
+DEFINE_HVX_DIV_OP_VARIANTS(hvx_div_f16, hvx_div_f16_loop_body)
 
-static inline void hvx_div_f32_auu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) dst % 128 == 0);
-    hvx_div_f32_loop_body(HVX_Vector, HVX_UVector, HVX_UVector, hvx_vec_store_a);
-}
-
-static inline void hvx_div_f32_uaa(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) src0 % 128 == 0);
-    assert((uintptr_t) src1 % 128 == 0);
-    hvx_div_f32_loop_body(HVX_UVector, HVX_Vector, HVX_Vector, hvx_vec_store_u);
-}
-
-static inline void hvx_div_f32_uau(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) src0 % 128 == 0);
-    hvx_div_f32_loop_body(HVX_UVector, HVX_Vector, HVX_UVector, hvx_vec_store_u);
-}
-
-static inline void hvx_div_f32_uua(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    assert((uintptr_t) src1 % 128 == 0);
-    hvx_div_f32_loop_body(HVX_UVector, HVX_UVector, HVX_Vector, hvx_vec_store_u);
-}
-
-static inline void hvx_div_f32_uuu(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, uint32_t n) {
-    hvx_div_f32_loop_body(HVX_UVector, HVX_UVector, HVX_UVector, hvx_vec_store_u);
-}
-
-static inline void hvx_div_f32(uint8_t * restrict dst, const uint8_t * restrict src0, const uint8_t * restrict src1, const uint32_t num_elems) {
-    if (hex_is_aligned((void *) dst, 128)) {
-        if (hex_is_aligned((void *) src0, 128)) {
-            if (hex_is_aligned((void *) src1, 128)) hvx_div_f32_aaa(dst, src0, src1, num_elems);
-            else                                    hvx_div_f32_aau(dst, src0, src1, num_elems);
-        } else {
-            if (hex_is_aligned((void *) src1, 128)) hvx_div_f32_aua(dst, src0, src1, num_elems);
-            else                                    hvx_div_f32_auu(dst, src0, src1, num_elems);
-        }
-    } else {
-        if (hex_is_aligned((void *) src0, 128)) {
-            if (hex_is_aligned((void *) src1, 128)) hvx_div_f32_uaa(dst, src0, src1, num_elems);
-            else                                    hvx_div_f32_uau(dst, src0, src1, num_elems);
-        } else {
-            if (hex_is_aligned((void *) src1, 128)) hvx_div_f32_uua(dst, src0, src1, num_elems);
-            else                                    hvx_div_f32_uuu(dst, src0, src1, num_elems);
-        }
-    }
-}
+HVX_DIV_DISPATCHER(hvx_div_f32)
+HVX_DIV_DISPATCHER(hvx_div_f16)
 
-#undef HVX_OP_MUL
+#undef HVX_OP_MUL_F32
 
 #endif // HVX_DIV_H
diff --git a/ggml/src/ggml-hexagon/htp/hvx-inverse.h b/ggml/src/ggml-hexagon/htp/hvx-inverse.h
index 49f3efabbcc..f2054f45bac 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-inverse.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-inverse.h
@@ -67,7 +67,7 @@ static inline HVX_Vector hvx_vec_inverse_f16(HVX_Vector vals) {
 
     HVX_Vector vcl0 = Q6_Vuh_vcl0_Vuh(rm);  //count leading zeros
 
-    // Get mantissa for 16-bit represenation
+    // Get mantissa for 16-bit representation
     HVX_Vector mant_recip = Q6_V_vand_VV(Q6_Vh_vasr_VhR(Q6_Vh_vasl_VhVh(rm, vcl0), 5), Q6_Vh_vsplat_R(0x03FF));
 
     //Compute Reciprocal Exponent
@@ -137,40 +137,74 @@ static inline HVX_Vector hvx_vec_inverse_f32_guard(HVX_Vector v_sf, HVX_Vector n
         }                                                                    \
     } while(0)
 
-static inline void hvx_inverse_f32_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
-    assert((unsigned long) dst % 128 == 0);
-    assert((unsigned long) src % 128 == 0);
-    hvx_inverse_f32_loop_body(HVX_Vector, HVX_Vector, hvx_vec_store_a);
-}
+static inline HVX_Vector hvx_vec_inverse_f16_guard(HVX_Vector v_sf, HVX_Vector nan_inf_mask) {
+    HVX_Vector out = hvx_vec_inverse_f16(v_sf);
 
-static inline void hvx_inverse_f32_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
-    assert((unsigned long) dst % 128 == 0);
-    hvx_inverse_f32_loop_body(HVX_Vector, HVX_UVector, hvx_vec_store_a);
-}
+    HVX_Vector     masked_out = Q6_V_vand_VV(out, nan_inf_mask);
+    const HVX_VectorPred pred = Q6_Q_vcmp_eq_VhVh(nan_inf_mask, masked_out);
 
-static inline void hvx_inverse_f32_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
-    assert((unsigned long) src % 128 == 0);
-    hvx_inverse_f32_loop_body(HVX_UVector, HVX_Vector, hvx_vec_store_u);
+    return Q6_V_vmux_QVV(pred, Q6_V_vzero(), out);
 }
 
-static inline void hvx_inverse_f32_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) {
-    hvx_inverse_f32_loop_body(HVX_UVector, HVX_UVector, hvx_vec_store_u);
-}
+#define hvx_inverse_f16_loop_body(dst_type, src_type, vec_store)             \
+    do {                                                                     \
+        dst_type * restrict vdst = (dst_type *) dst;                         \
+        src_type * restrict vsrc = (src_type *) src;                         \
+                                                                             \
+        const HVX_Vector nan_inf_mask = Q6_Vh_vsplat_R(0x7c00);              \
+                                                                             \
+        const uint32_t nvec = n / VLEN_FP16;                                 \
+        const uint32_t nloe = n % VLEN_FP16;                                 \
+                                                                             \
+        uint32_t i = 0;                                                      \
+                                                                             \
+        _Pragma("unroll(4)")                                                 \
+        for (; i < nvec; i++) {                                              \
+             vdst[i] = hvx_vec_inverse_f16_guard(vsrc[i], nan_inf_mask);     \
+        }                                                                    \
+        if (nloe) {                                                          \
+            HVX_Vector v = hvx_vec_inverse_f16_guard(vsrc[i], nan_inf_mask); \
+            vec_store((void *) &vdst[i], nloe * SIZEOF_FP16, v);             \
+        }                                                                    \
+    } while(0)
 
-static inline void hvx_inverse_f32(uint8_t * restrict dst, uint8_t * restrict src, const int num_elems) {
-    if ((unsigned long) dst % 128 == 0) {
-        if ((unsigned long) src % 128 == 0) {
-            hvx_inverse_f32_aa(dst, src, num_elems);
-        } else {
-            hvx_inverse_f32_au(dst, src, num_elems);
-        }
-    } else {
-        if ((unsigned long) src % 128 == 0) {
-            hvx_inverse_f32_ua(dst, src, num_elems);
-        } else {
-            hvx_inverse_f32_uu(dst, src, num_elems);
-        }
-    }
+// Generic macro to define alignment permutations for an op
+#define DEFINE_HVX_INV_OP_VARIANTS(OP_NAME, OP_LOOP_BODY) \
+static inline void OP_NAME##_aa(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
+    assert((uintptr_t) dst % 128 == 0); \
+    assert((uintptr_t) src % 128 == 0); \
+    OP_LOOP_BODY(HVX_Vector, HVX_Vector, hvx_vec_store_a); \
+} \
+static inline void OP_NAME##_au(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
+    assert((uintptr_t) dst % 128 == 0); \
+    OP_LOOP_BODY(HVX_Vector, HVX_UVector, hvx_vec_store_a); \
+} \
+static inline void OP_NAME##_ua(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
+    assert((uintptr_t) src % 128 == 0); \
+    OP_LOOP_BODY(HVX_UVector, HVX_Vector, hvx_vec_store_u); \
+} \
+static inline void OP_NAME##_uu(uint8_t * restrict dst, const uint8_t * restrict src, uint32_t n) { \
+    OP_LOOP_BODY(HVX_UVector, HVX_UVector, hvx_vec_store_u); \
+} \
+
+// Dispatcher logic
+#define HVX_INV_DISPATCHER(OP_NAME) \
+static inline void OP_NAME(uint8_t * restrict dst, const uint8_t * restrict src, const uint32_t num_elems) { \
+    if (hex_is_aligned((void *) dst, 128) && hex_is_aligned((void *) src, 128)) { \
+        OP_NAME##_aa(dst, src, num_elems); \
+    } else if (hex_is_aligned((void *) dst, 128)) { \
+        OP_NAME##_au(dst, src, num_elems); \
+    } else if (hex_is_aligned((void *) src, 128)) { \
+        OP_NAME##_ua(dst, src, num_elems); \
+    } else { \
+        OP_NAME##_uu(dst, src, num_elems); \
+    } \
 }
 
+DEFINE_HVX_INV_OP_VARIANTS(hvx_inverse_f32, hvx_inverse_f32_loop_body)
+DEFINE_HVX_INV_OP_VARIANTS(hvx_inverse_f16, hvx_inverse_f16_loop_body)
+
+HVX_INV_DISPATCHER(hvx_inverse_f32)
+HVX_INV_DISPATCHER(hvx_inverse_f16)
+
 #endif // HVX_INVERSE_H
diff --git a/ggml/src/ggml-hexagon/htp/hvx-reduce.h b/ggml/src/ggml-hexagon/htp/hvx-reduce.h
index 1ca7c05d983..3c0073ef6d8 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-reduce.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-reduce.h
@@ -46,6 +46,21 @@ static inline HVX_Vector hvx_vec_reduce_sum_qf32(HVX_Vector in) {
 
 #if __HVX_ARCH__ > 75
 
+static inline HVX_Vector hvx_vec_reduce_sum_f32x4(HVX_Vector_x4 in) {
+    HVX_VectorPair sum_p01 = Q6_W_vshuff_VVR(in.v[1], in.v[0], 4);
+    HVX_VectorPair sum_p23 = Q6_W_vshuff_VVR(in.v[3], in.v[2], 4);
+    HVX_Vector  sum_sf01  = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sum_p01), Q6_V_hi_W(sum_p01));
+    HVX_Vector  sum_sf23  = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sum_p23), Q6_V_hi_W(sum_p23));
+
+    HVX_VectorPair sum_p0123 = Q6_W_vshuff_VVR(sum_sf23, sum_sf01, 8);
+    HVX_Vector  sum_sf       = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sum_p0123), Q6_V_hi_W(sum_p0123));
+
+    sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 2));
+    sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 4));
+    sum_sf = Q6_Vsf_vadd_VsfVsf(sum_sf, Q6_V_vror_VR(sum_sf, VLEN / 8));
+    return sum_sf;
+}
+
 static inline HVX_Vector hvx_vec_reduce_sum_f32x2(HVX_Vector in0, HVX_Vector in1) {
     HVX_VectorPair sump = Q6_W_vshuff_VVR(in1, in0, 4);
     HVX_Vector  sum_sf  = Q6_Vsf_vadd_VsfVsf(Q6_V_lo_W(sump), Q6_V_hi_W(sump));
@@ -72,6 +87,21 @@ static inline HVX_Vector hvx_vec_reduce_sum_n_f32(HVX_Vector in, unsigned int n)
 
 #else
 
+static inline HVX_Vector hvx_vec_reduce_sum_f32x4(HVX_Vector_x4 in) {
+    HVX_VectorPair sum_p01  = Q6_W_vshuff_VVR(in.v[1], in.v[0], 4);
+    HVX_VectorPair sum_p23  = Q6_W_vshuff_VVR(in.v[3], in.v[2], 4);
+    HVX_Vector     sum_qf01 = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sum_p01), Q6_V_hi_W(sum_p01));
+    HVX_Vector     sum_qf23 = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sum_p23), Q6_V_hi_W(sum_p23));
+
+    HVX_VectorPair sum_p0123 = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(sum_qf23), Q6_Vsf_equals_Vqf32(sum_qf01), 8);
+    HVX_Vector     sum_qf    = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sum_p0123), Q6_V_hi_W(sum_p0123));
+
+    sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 2));
+    sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 4));
+    sum_qf = Q6_Vqf32_vadd_Vqf32Vsf(sum_qf, Q6_V_vror_VR(Q6_Vsf_equals_Vqf32(sum_qf), VLEN / 8));
+    return Q6_Vsf_equals_Vqf32(sum_qf);
+}
+
 static inline HVX_Vector hvx_vec_reduce_sum_f32x2(HVX_Vector in0, HVX_Vector in1) {
     HVX_VectorPair sump = Q6_W_vshuff_VVR(in1, in0, 4);
     HVX_Vector  sum_qf  = Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(sump), Q6_V_hi_W(sump));
diff --git a/ggml/src/ggml-hexagon/htp/hvx-utils.h b/ggml/src/ggml-hexagon/htp/hvx-utils.h
index a518ad37331..08343798794 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-utils.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-utils.h
@@ -15,4 +15,12 @@
 #include "hvx-div.h"
 #include "hvx-base.h"
 
+#ifndef GATHER_TYPE
+#    if defined(__hexagon__)
+#        define GATHER_TYPE(_a) (intptr_t) _a
+#    else
+#        define GATHER_TYPE(_a) (HVX_Vector *) _a
+#    endif
+#endif
+
 #endif /* HVX_UTILS_H */
diff --git a/ggml/src/ggml-hexagon/htp/main.c b/ggml/src/ggml-hexagon/htp/main.c
index 62708eee5cf..3f99dbb32c4 100644
--- a/ggml/src/ggml-hexagon/htp/main.c
+++ b/ggml/src/ggml-hexagon/htp/main.c
@@ -189,7 +189,7 @@ static int vtcm_release_callback(unsigned int rctx, void * state) {
     // otherwise we'll release it once we're done with the current Op.
 
     if (ctx->vtcm_inuse) {
-        ctx->vtcm_needs_release = false;
+        ctx->vtcm_needs_release = true;
         return 0;
     }
 
@@ -757,6 +757,47 @@ static void proc_sum_rows_req(struct htp_context * ctx, struct htp_general_req *
     send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
 }
 
+static void proc_ssm_conv_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
+    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
+
+    // We've written to the output buffer, we'd also need to flush it
+    rsp_bufs[0].fd     = bufs[2].fd;
+    rsp_bufs[0].ptr    = bufs[2].ptr;
+    rsp_bufs[0].offset = bufs[2].offset;
+    rsp_bufs[0].size   = bufs[2].size;
+    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
+                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
+
+    // Setup OP context
+    struct htp_ops_context octx = { 0 };
+    octx.ctx                    = ctx;
+    octx.src0                   = req->src0;
+    octx.src1                   = req->src1;
+    octx.dst                    = req->dst;
+    octx.flags                  = req->flags;
+    octx.op                     = req->op;
+
+    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
+
+    // Update data pointers
+    octx.src0.data = (uint32_t) bufs[0].ptr;
+    octx.src1.data = (uint32_t) bufs[1].ptr;
+    octx.dst.data  = (uint32_t) bufs[2].ptr;
+    octx.n_threads = ctx->n_threads;
+
+    struct profile_data prof;
+    profile_start(&prof);
+
+    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
+    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
+        rsp_status = op_ssm_conv(&octx);
+        vtcm_release(ctx);
+    }
+
+    profile_stop(&prof);
+    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+}
+
 static void proc_activations_req(struct htp_context *     ctx,
                                  struct htp_general_req * req,
                                  struct dspqueue_buffer * bufs,
@@ -1142,6 +1183,14 @@ static void htp_packet_callback(dspqueue_t queue, int error, void * context) {
                 proc_argsort_req(ctx, &req, bufs);
                 break;
 
+            case HTP_OP_SSM_CONV:
+                if (n_bufs != 3) {
+                    FARF(ERROR, "Bad ssm-conv-req buffer list");
+                    continue;
+                }
+                proc_ssm_conv_req(ctx, &req, bufs);
+                break;
+
             default:
                 FARF(ERROR, "Unknown Op %u", req.op);
                 break;
diff --git a/ggml/src/ggml-hexagon/htp/matmul-ops.c b/ggml/src/ggml-hexagon/htp/matmul-ops.c
index d251eeed33a..9ca74aedfef 100644
--- a/ggml/src/ggml-hexagon/htp/matmul-ops.c
+++ b/ggml/src/ggml-hexagon/htp/matmul-ops.c
@@ -23,66 +23,30 @@
 #define MM_SPAD_SRC1_NROWS 16
 #define MM_SPAD_DST_NROWS  2
 
-struct htp_matmul_type {
+struct htp_matmul_context {
     const char * type;
-    void (*vec_dot)(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
-    void (*vec_dot_rx2)(const int n, float * restrict s, const void * restrict vx, uint32_t vx_row_size, const void * restrict vy);
-};
+    struct htp_ops_context * octx;
 
-// vdelta control to replicate first 4x fp32 values across lanes
-static const uint8_t __attribute__((aligned(128))) repl_4x_f32[128] = {
-    0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10,
-    0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20,
-    0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10, 0x10, 0x04,
-    0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x40, 0x40, 0x40, 0x40,
-    0x44, 0x44, 0x44, 0x44, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04,
-    0x04, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20, 0x20, 0x20, 0x04, 0x04,
-    0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10, 0x10,
-};
+    void (*vec_dot_1x1)(const int n, float * restrict s0,
+         const void * restrict vx0,
+         const void * restrict vy0);
 
-// vdelta control to replicate and interleave first 8x fp32 values across lanes
-static const uint8_t __attribute__((aligned(128))) repl_interleave_8x_f32[128] = {
-    0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x00, 0x00, 0x00,
-    0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20,
-    0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20, 0x20, 0x20, 0x04,
-    0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x40, 0x40, 0x40, 0x40,
-    0x44, 0x44, 0x44, 0x44, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x40, 0x40, 0x40, 0x40, 0x44, 0x44, 0x44,
-    0x44, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20, 0x20, 0x20, 0x04, 0x04,
-    0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20, 0x20, 0x20,
-};
+    void (*vec_dot_2x1)(const int n, float * restrict s0,
+         const void * restrict vx0, const void * restrict vx1,
+         const void * restrict vy0);
 
-// vdelta control to replicate first fp32 value across all elements
-static const uint8_t __attribute__((aligned(128))) repl_1x_f32[128] = {
-    0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10,
-    0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x20, 0x20, 0x20, 0x20, 0x04, 0x04,
-    0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08,
-    0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x40, 0x40, 0x40, 0x40, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08,
-    0x04, 0x04, 0x04, 0x04, 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04,
-    0x04, 0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, 0x10, 0x10,
-    0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04,
-};
+    void (*vec_dot_2x2)(const int n, float * restrict s0, float * restrict s1,
+         const void * restrict vx0, const void * restrict vx1,
+         const void * restrict vy0, const void * restrict vy1);
 
-// vdelta control to replicate first fp16 value across all elements
-static const uint8_t __attribute__((aligned(128))) repl_1x_f16[128] = {
-    0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x10, 0x10, 0x02,
-    0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x20, 0x20, 0x02, 0x02, 0x04, 0x04,
-    0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08,
-    0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x40, 0x40, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02,
-    0x04, 0x04, 0x02, 0x02, 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02,
-    0x02, 0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x10, 0x10,
-    0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-};
+    // Precomputed values
+    uint32_t src0_nrows_per_thread;
+    uint32_t src1_nrows_per_thread;
 
-// vdelta control to replicate first fp16 value across all elements
-static const uint8_t __attribute__((aligned(128))) repl_2x_f16[128] = {
-    0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
-    0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02,
+    struct fastdiv_values mm_div_ne12_ne1;
+    struct fastdiv_values mm_div_ne1;
+    struct fastdiv_values mm_div_r2;
+    struct fastdiv_values mm_div_r3;
 };
 
 // vdelta control to expand first 32 e8m0 values into 32 uint32 elements
@@ -122,6 +86,7 @@ static inline HVX_Vector_x8 hvx_vec_load_q4x4x8(const uint8_t * restrict ptr) {
     HVX_Vector v6_7 = vptr[3];  // ...
 
     const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
+    const HVX_Vector i8 = Q6_Vb_vsplat_R(8);
 
     HVX_Vector v0 = Q6_V_vand_VV(v0_1, mask_h4);  // & 0x0F
     HVX_Vector v1 = Q6_Vub_vlsr_VubR(v0_1, 4);    // >> 4
@@ -133,15 +98,14 @@ static inline HVX_Vector_x8 hvx_vec_load_q4x4x8(const uint8_t * restrict ptr) {
     HVX_Vector v7 = Q6_Vub_vlsr_VubR(v6_7, 4);    // >> 4
 
     // Convert uint4 to int4 (i.e. x - 8)
-    const HVX_Vector i8 = Q6_Vb_vsplat_R(8);
-    v0                  = Q6_Vb_vsub_VbVb(v0, i8);
-    v1                  = Q6_Vb_vsub_VbVb(v1, i8);
-    v2                  = Q6_Vb_vsub_VbVb(v2, i8);
-    v3                  = Q6_Vb_vsub_VbVb(v3, i8);
-    v4                  = Q6_Vb_vsub_VbVb(v4, i8);
-    v5                  = Q6_Vb_vsub_VbVb(v5, i8);
-    v6                  = Q6_Vb_vsub_VbVb(v6, i8);
-    v7                  = Q6_Vb_vsub_VbVb(v7, i8);
+    v0 = Q6_Vb_vsub_VbVb(v0, i8);
+    v1 = Q6_Vb_vsub_VbVb(v1, i8);
+    v2 = Q6_Vb_vsub_VbVb(v2, i8);
+    v3 = Q6_Vb_vsub_VbVb(v3, i8);
+    v4 = Q6_Vb_vsub_VbVb(v4, i8);
+    v5 = Q6_Vb_vsub_VbVb(v5, i8);
+    v6 = Q6_Vb_vsub_VbVb(v6, i8);
+    v7 = Q6_Vb_vsub_VbVb(v7, i8);
 
     HVX_Vector_x8 r = { v0, v1, v2, v3, v4, v5, v6, v7 };
     return r;
@@ -156,6 +120,7 @@ static inline HVX_Vector_x8 hvx_vec_load_mxfp4x4x8(const uint8_t * restrict ptr)
     HVX_Vector v6_7 = vptr[3];  // ...
 
     const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
+    const HVX_Vector lut = *(const HVX_Vector *) kvalues_mxfp4_lut;
 
     HVX_Vector v0 = Q6_V_vand_VV(v0_1, mask_h4);  // & 0x0F
     HVX_Vector v1 = Q6_Vub_vlsr_VubR(v0_1, 4);    // >> 4
@@ -166,15 +131,14 @@ static inline HVX_Vector_x8 hvx_vec_load_mxfp4x4x8(const uint8_t * restrict ptr)
     HVX_Vector v6 = Q6_V_vand_VV(v6_7, mask_h4);  // & 0x0F
     HVX_Vector v7 = Q6_Vub_vlsr_VubR(v6_7, 4);    // >> 4
 
-    HVX_Vector lut = *(const HVX_Vector *) kvalues_mxfp4_lut;
-    v0             = Q6_Vb_vlut32_VbVbI(v0, lut, 0);
-    v1             = Q6_Vb_vlut32_VbVbI(v1, lut, 0);
-    v2             = Q6_Vb_vlut32_VbVbI(v2, lut, 0);
-    v3             = Q6_Vb_vlut32_VbVbI(v3, lut, 0);
-    v4             = Q6_Vb_vlut32_VbVbI(v4, lut, 0);
-    v5             = Q6_Vb_vlut32_VbVbI(v5, lut, 0);
-    v6             = Q6_Vb_vlut32_VbVbI(v6, lut, 0);
-    v7             = Q6_Vb_vlut32_VbVbI(v7, lut, 0);
+    v0 = Q6_Vb_vlut32_VbVbI(v0, lut, 0);
+    v1 = Q6_Vb_vlut32_VbVbI(v1, lut, 0);
+    v2 = Q6_Vb_vlut32_VbVbI(v2, lut, 0);
+    v3 = Q6_Vb_vlut32_VbVbI(v3, lut, 0);
+    v4 = Q6_Vb_vlut32_VbVbI(v4, lut, 0);
+    v5 = Q6_Vb_vlut32_VbVbI(v5, lut, 0);
+    v6 = Q6_Vb_vlut32_VbVbI(v6, lut, 0);
+    v7 = Q6_Vb_vlut32_VbVbI(v7, lut, 0);
 
     HVX_Vector_x8 r = { v0, v1, v2, v3, v4, v5, v6, v7 };
     return r;
@@ -196,46 +160,6 @@ static inline HVX_Vector_x8 hvx_vec_load_q8x4x8(const uint8_t * restrict ptr) {
     return r;
 }
 
-static inline HVX_Vector_x4 hvx_vec_load_x4_f16(const uint8_t * restrict ptr) {
-    const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr;
-
-    HVX_Vector v0 = vptr[0];  // first  64 vals
-    HVX_Vector v1 = vptr[1];  // second 64 vals
-    HVX_Vector v2 = vptr[2];  // third  64 vals
-    HVX_Vector v3 = vptr[3];  // forth  64 vals
-
-    HVX_Vector_x4 r = { v0, v1, v2, v3 };
-    return r;
-}
-
-static inline HVX_Vector_x4 hvx_vec_load_x4_f32_as_f16(const uint8_t * restrict ptr) {
-    const HVX_VectorPair * restrict vptr = (const HVX_VectorPair *) ptr;
-
-    HVX_VectorPair v0 = vptr[0];  // first  64 vals
-    HVX_VectorPair v1 = vptr[1];  // second 64 vals
-    HVX_VectorPair v2 = vptr[2];  // third  64 vals
-    HVX_VectorPair v3 = vptr[3];  // forth  64 vals
-
-    HVX_Vector vq0_lo = Q6_Vqf32_vsub_VsfVsf(Q6_V_lo_W(v0), Q6_V_vzero());
-    HVX_Vector vq0_hi = Q6_Vqf32_vsub_VsfVsf(Q6_V_hi_W(v0), Q6_V_vzero());
-    HVX_Vector vq1_lo = Q6_Vqf32_vsub_VsfVsf(Q6_V_lo_W(v1), Q6_V_vzero());
-    HVX_Vector vq1_hi = Q6_Vqf32_vsub_VsfVsf(Q6_V_hi_W(v1), Q6_V_vzero());
-    HVX_Vector vq2_lo = Q6_Vqf32_vsub_VsfVsf(Q6_V_lo_W(v2), Q6_V_vzero());
-    HVX_Vector vq2_hi = Q6_Vqf32_vsub_VsfVsf(Q6_V_hi_W(v2), Q6_V_vzero());
-    HVX_Vector vq3_lo = Q6_Vqf32_vsub_VsfVsf(Q6_V_lo_W(v3), Q6_V_vzero());
-    HVX_Vector vq3_hi = Q6_Vqf32_vsub_VsfVsf(Q6_V_hi_W(v3), Q6_V_vzero());
-
-    HVX_Vector vh0 = Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vq0_hi, vq0_lo));
-    HVX_Vector vh1 = Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vq1_hi, vq1_lo));
-    HVX_Vector vh2 = Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vq2_hi, vq2_lo));
-    HVX_Vector vh3 = Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vq3_hi, vq3_lo));
-
-    // vcombine does a shuffle, use vdeal to undo
-
-    HVX_Vector_x4 r = { Q6_Vh_vdeal_Vh(vh0), Q6_Vh_vdeal_Vh(vh1), Q6_Vh_vdeal_Vh(vh2), Q6_Vh_vdeal_Vh(vh3) };
-    return r;
-}
-
 // Reduce multiply 1024 x 1024 int8 elements (32x q4/8 blocks in 8x HVX vectors).
 // Accumulate each block into a single int32 value.
 // Return a single HVX vector with 32x int32 accumulators.
@@ -300,26 +224,26 @@ static inline HVX_Vector hvx_vec_rmpy_x8_nloe(HVX_Vector_x8 x, HVX_Vector_x8 y,
     return hvx_vec_rmpy_x8_n(x, y, 1024);
 }
 
-static void vec_dot_q4x4x2_q8x4x2(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
+static void vec_dot_q4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const void * restrict vx0, const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
-    assert((unsigned long) vx % 128 == 0);
-    assert((unsigned long) vy % 128 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
 
     const uint32_t qk = QK_Q4_0x4x2 * 4;
 
-    const uint32_t x_dblk_size = 8 * 4 * 2;                                  // 32x __fp16
-    const uint32_t x_qblk_size = qk / 2;                                     // int4
-    const uint32_t x_qrow_size = n / 2;                                      // int4 (not padded)
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk / 2;                                      // int4
+    const uint32_t x_qrow_size = n / 2;                                       // int4 (not padded)
 
-    const uint32_t y_dblk_size = 8 * 4 * 2;                                  // 32x __fp16
-    const uint32_t y_qblk_size = qk;                                         // int8
-    const uint32_t y_qrow_size = n;                                          // int8 (not padded)
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
 
-    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx + 0);            // quants first
-    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx + x_qrow_size);  // then scales
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0 + 0);            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0 + x_qrow_size);  // then scales
 
-    const uint8_t * restrict y_q = ((const uint8_t *) vy + 0);               // quants first
-    const uint8_t * restrict y_d = ((const uint8_t *) vy + y_qrow_size);     // then scales
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);               // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);     // then scales
 
     // Row sum (sf)
     HVX_Vector r0_sum = Q6_V_vsplat_R(0);
@@ -372,36 +296,34 @@ static void vec_dot_q4x4x2_q8x4x2(const int n, float * restrict s, const void *
 
     r0_sum = hvx_vec_reduce_sum_f32(r0_sum);
 
-    hvx_vec_store_u(&s[0], 4, r0_sum);
+    hvx_vec_store_u(s0, 4, r0_sum);
 }
 
-static void vec_dot_q4x4x2_q8x4x2_rx2(const int n,
-                                      float * restrict s,
-                                      const void * restrict vx,
-                                      uint32_t vx_row_size,
-                                      const void * restrict vy) {
+static void vec_dot_q4x4x2_q8x4x2_2x1(const int n, float * restrict s0,
+                                      const void * restrict vx0, const void * restrict vx1,
+                                      const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
-    assert((unsigned long) vx % 128 == 0);
-    assert((unsigned long) vy % 128 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
 
     const uint32_t qk = QK_Q4_0x4x2 * 4;
 
-    const uint32_t x_dblk_size = 8 * 4 * 2;                                                        // 32x __fp16
-    const uint32_t x_qblk_size = qk / 2;                                                           // int4
-    const uint32_t x_qrow_size = n / 2;                                                            // int4 (not padded)
-
-    const uint32_t y_dblk_size = 8 * 4 * 2;                                                        // 32x __fp16
-    const uint32_t y_qblk_size = qk;                                                               // int8
-    const uint32_t y_qrow_size = n;                                                                // int8 (not padded)
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk / 2;                                      // int4
+    const uint32_t x_qrow_size = n / 2;                                       // int4 (not padded)
 
-    const uint8_t * restrict r0_x_q = ((const uint8_t *) (vx + (0 * vx_row_size)) + 0);            // quants first
-    const uint8_t * restrict r0_x_d = ((const uint8_t *) (vx + (0 * vx_row_size)) + x_qrow_size);  // then scales
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
 
-    const uint8_t * restrict r1_x_q = ((const uint8_t *) (vx + (1 * vx_row_size)) + 0);            // quants first
-    const uint8_t * restrict r1_x_d = ((const uint8_t *) (vx + (1 * vx_row_size)) + x_qrow_size);  // then scales
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
 
-    const uint8_t * restrict y_q = ((const uint8_t *) vy + 0);                                     // quants first
-    const uint8_t * restrict y_d = ((const uint8_t *) vy + y_qrow_size);                           // then scales
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);               // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);     // then scales
 
     // Row sum (sf)
     HVX_Vector r0_sum = Q6_V_vsplat_R(0);
@@ -468,13 +390,143 @@ static void vec_dot_q4x4x2_q8x4x2_rx2(const int n,
     }
 
     HVX_Vector rsum = hvx_vec_reduce_sum_f32x2(r0_sum, r1_sum);
-    hvx_vec_store_u(&s[0], 8, rsum);
+    hvx_vec_store_u(s0, 8, rsum);
 }
 
-static void vec_dot_q8x4x2_q8x4x2(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
+static void vec_dot_q4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * restrict s1,
+                                        const void * restrict vx0, const void * restrict vx1,
+                                        const void * restrict vy0, const void * restrict vy1) {
+    assert(n % 32 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
+    assert((unsigned long) vy1 % 128 == 0);
+
+    const uint32_t qk = QK_Q4_0x4x2 * 4;
+
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk / 2;                                      // int4
+    const uint32_t x_qrow_size = n / 2;                                       // int4 (not padded)
+
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
+
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
+
+    const uint8_t * restrict y0_q = ((const uint8_t *) vy0) + 0;              // quants first
+    const uint8_t * restrict y0_d = ((const uint8_t *) vy0) + y_qrow_size;    // then scales
+    const uint8_t * restrict y1_q = ((const uint8_t *) vy1) + 0;              // quants first
+    const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size;    // then scales
+
+    // Row sums (sf) - 4 accumulators for 2×2 tile
+    HVX_Vector r0_c0_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r0_c1_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r1_c0_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r1_c1_sum = Q6_V_vsplat_R(0);
+
+    const uint32_t nb   = n / qk;  // num full blocks
+    const uint32_t nloe = n % qk;  // num leftover elements
+
+    uint32_t i = 0;
+    for (; i < nb; i++) {
+        // Load src1 columns (reused across both src0 rows)
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size);
+
+        // Load src0 rows (reused across both src1 columns)
+        HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8(r1_x_q + i * x_qblk_size);
+
+        // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy1_q));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy0_q));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy1_q));
+
+        // Load scales
+        HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size));
+        HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size));
+        HVX_Vector r0_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        // Compute combined scales
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy0_d)));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy1_d)));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d)));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d)));
+
+        // Apply scales and accumulate
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    // Process leftovers
+    if (nloe) {
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size);
+        HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8(r1_x_q + i * x_qblk_size);
+
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy0_q, nloe));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy1_q, nloe));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy0_q, nloe));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy1_q, nloe));
+
+        HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size));
+        HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size));
+        HVX_Vector r0_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy0_d)));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy1_d)));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d)));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d)));
+
+        // Zero out unused scales
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8);
+        r0_c0_dd = Q6_V_vand_QV(bmask, r0_c0_dd);
+        r0_c1_dd = Q6_V_vand_QV(bmask, r0_c1_dd);
+        r1_c0_dd = Q6_V_vand_QV(bmask, r1_c0_dd);
+        r1_c1_dd = Q6_V_vand_QV(bmask, r1_c1_dd);
+        r0_c0_ia = Q6_V_vand_QV(bmask, r0_c0_ia);
+        r0_c1_ia = Q6_V_vand_QV(bmask, r0_c1_ia);
+        r1_c0_ia = Q6_V_vand_QV(bmask, r1_c0_ia);
+        r1_c1_ia = Q6_V_vand_QV(bmask, r1_c1_ia);
+
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    // Reduce and store results
+    HVX_Vector r0_r1_c0_sum = hvx_vec_reduce_sum_f32x2(r0_c0_sum, r1_c0_sum);
+    HVX_Vector r0_r1_c1_sum = hvx_vec_reduce_sum_f32x2(r0_c1_sum, r1_c1_sum);
+
+    hvx_vec_store_u(s0, 8, r0_r1_c0_sum);  // row0,col0 row1,col0
+    hvx_vec_store_u(s1, 8, r0_r1_c1_sum);  // row0,col1 row1,col1
+}
+
+static void vec_dot_q8x4x2_q8x4x2_1x1(const int n, float * restrict s0, const void * restrict vx0, const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
-    assert((unsigned long) vx % 128 == 0);
-    assert((unsigned long) vy % 128 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
 
     const uint32_t qk = QK_Q4_0x4x2 * 4;
 
@@ -486,11 +538,11 @@ static void vec_dot_q8x4x2_q8x4x2(const int n, float * restrict s, const void *
     const uint32_t y_qblk_size = qk;                                         // int8
     const uint32_t y_qrow_size = n;                                          // int8 (not padded)
 
-    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx + 0);            // quants first
-    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx + x_qrow_size);  // then scales
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0 + 0);           // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0 + x_qrow_size); // then scales
 
-    const uint8_t * restrict y_q = ((const uint8_t *) vy + 0);               // quants first
-    const uint8_t * restrict y_d = ((const uint8_t *) vy + y_qrow_size);     // then scales
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);              // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);    // then scales
 
     // Row sum (sf)
     HVX_Vector r0_sum = Q6_V_vsplat_R(0);
@@ -543,36 +595,34 @@ static void vec_dot_q8x4x2_q8x4x2(const int n, float * restrict s, const void *
 
     r0_sum = hvx_vec_reduce_sum_f32(r0_sum);
 
-    hvx_vec_store_u(&s[0], 4, r0_sum);
+    hvx_vec_store_u(s0, 4, r0_sum);
 }
 
-static void vec_dot_q8x4x2_q8x4x2_rx2(const int n,
-                                      float * restrict s,
-                                      const void * restrict vx,
-                                      uint32_t vx_row_size,
-                                      const void * restrict vy) {
+static void vec_dot_q8x4x2_q8x4x2_2x1(const int n, float * restrict s0,
+                                      const void * restrict vx0, const void * restrict vx1,
+                                      const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
-    assert((unsigned long) vx % 128 == 0);
-    assert((unsigned long) vy % 128 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
 
     const uint32_t qk = QK_Q4_0x4x2 * 4;
 
-    const uint32_t x_dblk_size = 8 * 4 * 2;                                                        // 32x __fp16
-    const uint32_t x_qblk_size = qk;                                                               // int8
-    const uint32_t x_qrow_size = n;                                                                // int8 (not padded)
-
-    const uint32_t y_dblk_size = 8 * 4 * 2;                                                        // 32x __fp16
-    const uint32_t y_qblk_size = qk;                                                               // int8
-    const uint32_t y_qrow_size = n;                                                                // int8 (not padded)
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk;                                          // int8
+    const uint32_t x_qrow_size = n;                                           // int8 (not padded)
 
-    const uint8_t * restrict r0_x_q = ((const uint8_t *) (vx + (0 * vx_row_size)) + 0);            // quants first
-    const uint8_t * restrict r0_x_d = ((const uint8_t *) (vx + (0 * vx_row_size)) + x_qrow_size);  // then scales
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
 
-    const uint8_t * restrict r1_x_q = ((const uint8_t *) (vx + (1 * vx_row_size)) + 0);            // quants first
-    const uint8_t * restrict r1_x_d = ((const uint8_t *) (vx + (1 * vx_row_size)) + x_qrow_size);  // then scales
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
 
-    const uint8_t * restrict y_q = ((const uint8_t *) vy + 0);                                     // quants first
-    const uint8_t * restrict y_d = ((const uint8_t *) vy + y_qrow_size);                           // then scales
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);               // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);     // then scales
 
     // Row sum (qf32)
     HVX_Vector r0_sum = Q6_V_vsplat_R(0);
@@ -639,16 +689,143 @@ static void vec_dot_q8x4x2_q8x4x2_rx2(const int n,
     }
 
     HVX_Vector rsum = hvx_vec_reduce_sum_f32x2(r0_sum, r1_sum);
-    hvx_vec_store_u(&s[0], 8, rsum);
+    hvx_vec_store_u(s0, 8, rsum);
 }
 
-static void vec_dot_mxfp4x4x2_q8x4x2(const int n,
-                                     float * restrict s,
-                                     const void * restrict vx,
-                                     const void * restrict vy) {
+static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * restrict s1,
+                                        const void * restrict vx0, const void * restrict vx1,
+                                        const void * restrict vy0, const void * restrict vy1) {
+    assert(n % 32 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
+    assert((unsigned long) vy1 % 128 == 0);
+
+    const uint32_t qk = QK_Q8_0x4x2 * 4;
+
+    const uint32_t x_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t x_qblk_size = qk;                                          // int8
+    const uint32_t x_qrow_size = n;                                           // int8 (not padded)
+
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
+
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
+
+    const uint8_t * restrict y0_q = ((const uint8_t *) vy0) + 0;              // quants first
+    const uint8_t * restrict y0_d = ((const uint8_t *) vy0) + y_qrow_size;    // then scales
+    const uint8_t * restrict y1_q = ((const uint8_t *) vy1) + 0;              // quants first
+    const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size;    // then scales
+
+    // Row sums (sf) - 4 accumulators for 2×2 tile
+    HVX_Vector r0_c0_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r0_c1_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r1_c0_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r1_c1_sum = Q6_V_vsplat_R(0);
+
+    const uint32_t nb   = n / qk;  // num full blocks
+    const uint32_t nloe = n % qk;  // num leftover elements
+
+    uint32_t i = 0;
+    for (; i < nb; i++) {
+        // Load src1 columns (reused across both src0 rows)
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size);
+
+        // Load src0 rows (reused across both src1 columns)
+        HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8(r1_x_q + i * x_qblk_size);
+
+        // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy1_q));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy0_q));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy1_q));
+
+        // Load scales
+        HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size));
+        HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size));
+        HVX_Vector r0_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        // Compute combined scales
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy0_d)));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy1_d)));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d)));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d)));
+
+        // Apply scales and accumulate
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    // Process leftovers
+    if (nloe) {
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size);
+        HVX_Vector_x8 r0_q  = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q  = hvx_vec_load_q8x4x8(r1_x_q + i * x_qblk_size);
+
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy0_q, nloe));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy1_q, nloe));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy0_q, nloe));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy1_q, nloe));
+
+        HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size));
+        HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size));
+        HVX_Vector r0_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size));
+        HVX_Vector r1_d  = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size));
+
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy0_d)));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy1_d)));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d)));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d)));
+
+        // Zero out unused scales
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8);
+        r0_c0_dd = Q6_V_vand_QV(bmask, r0_c0_dd);
+        r0_c1_dd = Q6_V_vand_QV(bmask, r0_c1_dd);
+        r1_c0_dd = Q6_V_vand_QV(bmask, r1_c0_dd);
+        r1_c1_dd = Q6_V_vand_QV(bmask, r1_c1_dd);
+        r0_c0_ia = Q6_V_vand_QV(bmask, r0_c0_ia);
+        r0_c1_ia = Q6_V_vand_QV(bmask, r0_c1_ia);
+        r1_c0_ia = Q6_V_vand_QV(bmask, r1_c0_ia);
+        r1_c1_ia = Q6_V_vand_QV(bmask, r1_c1_ia);
+
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    // Reduce and store results
+    HVX_Vector r0_r1_c0_sum = hvx_vec_reduce_sum_f32x2(r0_c0_sum, r1_c0_sum);
+    HVX_Vector r0_r1_c1_sum = hvx_vec_reduce_sum_f32x2(r0_c1_sum, r1_c1_sum);
+
+    hvx_vec_store_u(&s0[0], 8, r0_r1_c0_sum);  // row0,col0 row1,col0
+    hvx_vec_store_u(&s1[0], 8, r0_r1_c1_sum);  // row0,col1 row1,col1
+}
+
+static void vec_dot_mxfp4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const void * restrict vx0, const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
-    assert((unsigned long) vx % 128 == 0);
-    assert((unsigned long) vy % 128 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
 
     const uint32_t qk = QK_MXFP4x4x2 * 4;
 
@@ -660,11 +837,11 @@ static void vec_dot_mxfp4x4x2_q8x4x2(const int n,
     const uint32_t y_qblk_size = qk;                                         // int8
     const uint32_t y_qrow_size = n;                                          // int8 (not padded)
 
-    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx + 0);            // quants first
-    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx + x_qrow_size);  // then scales
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0 + 0);           // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0 + x_qrow_size); // then scales
 
-    const uint8_t * restrict y_q = ((const uint8_t *) vy + 0);               // quants first
-    const uint8_t * restrict y_d = ((const uint8_t *) vy + y_qrow_size);     // then scales
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0 + 0);              // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size);    // then scales
 
     // Row sum (sf)
     HVX_Vector r0_sum = Q6_V_vsplat_R(0);
@@ -747,36 +924,34 @@ static void vec_dot_mxfp4x4x2_q8x4x2(const int n,
 
     r0_sum = hvx_vec_reduce_sum_f32(r0_sum);
 
-    hvx_vec_store_u(&s[0], 4, r0_sum);
+    hvx_vec_store_u(s0, 4, r0_sum);
 }
 
-static void vec_dot_mxfp4x4x2_q8x4x2_rx2(const int n,
-                                         float * restrict s,
-                                         const void * restrict vx,
-                                         uint32_t vx_row_size,
-                                         const void * restrict vy) {
+static void vec_dot_mxfp4x4x2_q8x4x2_2x1(const int n, float * restrict s0,
+                                      const void * restrict vx0, const void * restrict vx1,
+                                      const void * restrict vy0) {
     assert(n % 32 == 0);  // min sub-block size
-    assert((unsigned long) vx % 128 == 0);
-    assert((unsigned long) vy % 128 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
 
     const uint32_t qk = QK_MXFP4x4x2 * 4;
 
-    const uint32_t x_dblk_size = 8 * 4 * 1;                                                        // 32x e8m0
-    const uint32_t x_qblk_size = qk / 2;                                                           // fp4
-    const uint32_t x_qrow_size = n / 2;                                                            // fp4 (not padded)
-
-    const uint32_t y_dblk_size = 8 * 4 * 2;                                                        // 32x __fp16
-    const uint32_t y_qblk_size = qk;                                                               // int8
-    const uint32_t y_qrow_size = n;                                                                // int8 (not padded)
+    const uint32_t x_dblk_size = 8 * 4 * 1;                                   // 32x e8m0
+    const uint32_t x_qblk_size = qk / 2;                                      // fp4
+    const uint32_t x_qrow_size = n / 2;                                       // fp4 (not padded)
 
-    const uint8_t * restrict r0_x_q = ((const uint8_t *) (vx + (0 * vx_row_size)) + 0);            // quants first
-    const uint8_t * restrict r0_x_d = ((const uint8_t *) (vx + (0 * vx_row_size)) + x_qrow_size);  // then scales
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
 
-    const uint8_t * restrict r1_x_q = ((const uint8_t *) (vx + (1 * vx_row_size)) + 0);            // quants first
-    const uint8_t * restrict r1_x_d = ((const uint8_t *) (vx + (1 * vx_row_size)) + x_qrow_size);  // then scales
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
 
-    const uint8_t * restrict y_q = ((const uint8_t *) vy + 0);                                     // quants first
-    const uint8_t * restrict y_d = ((const uint8_t *) vy + y_qrow_size);                           // then scales
+    const uint8_t * restrict y_q = ((const uint8_t *) vy0) + 0;               // quants first
+    const uint8_t * restrict y_d = ((const uint8_t *) vy0) + y_qrow_size;     // then scales
 
     // Row sum (sf)
     HVX_Vector r0_sum = Q6_V_vsplat_R(0);
@@ -879,84 +1054,304 @@ static void vec_dot_mxfp4x4x2_q8x4x2_rx2(const int n,
     }
 
     HVX_Vector rsum = hvx_vec_reduce_sum_f32x2(r0_sum, r1_sum);
-    hvx_vec_store_u(&s[0], 8, rsum);
+    hvx_vec_store_u(s0, 8, rsum);
+}
+
+static void vec_dot_mxfp4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * restrict s1,
+                                        const void * restrict vx0, const void * restrict vx1,
+                                        const void * restrict vy0, const void * restrict vy1) {
+    assert(n % 32 == 0);
+    assert((unsigned long) vx0 % 128 == 0);
+    assert((unsigned long) vx1 % 128 == 0);
+    assert((unsigned long) vy0 % 128 == 0);
+    assert((unsigned long) vy1 % 128 == 0);
+
+    const uint32_t qk = QK_MXFP4x4x2 * 4;
+
+    const uint32_t x_dblk_size = 8 * 4 * 1;                                   // 32x e8m0
+    const uint32_t x_qblk_size = qk / 2;                                      // fp4
+    const uint32_t x_qrow_size = n / 2;                                       // fp4 (not padded)
+
+    const uint32_t y_dblk_size = 8 * 4 * 2;                                   // 32x __fp16
+    const uint32_t y_qblk_size = qk;                                          // int8
+    const uint32_t y_qrow_size = n;                                           // int8 (not padded)
+
+    const uint8_t * restrict r0_x_q = ((const uint8_t *) vx0) + 0;            // quants first
+    const uint8_t * restrict r0_x_d = ((const uint8_t *) vx0) + x_qrow_size;  // then scales
+    const uint8_t * restrict r1_x_q = ((const uint8_t *) vx1) + 0;            // quants first
+    const uint8_t * restrict r1_x_d = ((const uint8_t *) vx1) + x_qrow_size;  // then scales
+
+    const uint8_t * restrict y0_q = ((const uint8_t *) vy0) + 0;              // quants first
+    const uint8_t * restrict y0_d = ((const uint8_t *) vy0) + y_qrow_size;    // then scales
+    const uint8_t * restrict y1_q = ((const uint8_t *) vy1) + 0;              // quants first
+    const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size;    // then scales
+
+    // Row sums (sf) - 4 accumulators for 2×2 tile
+    HVX_Vector r0_c0_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r0_c1_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r1_c0_sum = Q6_V_vsplat_R(0);
+    HVX_Vector r1_c1_sum = Q6_V_vsplat_R(0);
+
+    const uint32_t nb   = n / qk;  // num full blocks
+    const uint32_t nloe = n % qk;  // num leftover elements
+
+    uint32_t i = 0;
+    for (; i < nb; i++) {
+        // Load src1 columns (reused across both src0 rows)
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size);
+
+        // Load src0 rows (reused across both src1 columns)
+        HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8(r1_x_q + i * x_qblk_size);
+
+        // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy1_q));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy0_q));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy1_q));
+
+        // Load scales
+        HVX_Vector vy0_d = *(const HVX_UVector *) (y0_d   + i * y_dblk_size);
+        HVX_Vector vy1_d = *(const HVX_UVector *) (y1_d   + i * y_dblk_size);
+        HVX_Vector r0_d  = *(const HVX_UVector *) (r0_x_d + i * x_dblk_size);
+        HVX_Vector r1_d  = *(const HVX_UVector *) (r1_x_d + i * x_dblk_size);
+
+        // Convert vy_d from fp16 to fp32 while applying 0.5 scaling which is used for e8m0 halving
+        HVX_Vector half = Q6_Vh_vsplat_R(0x3800);  // 0.5 in fp16
+        vy0_d           = Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(vy0_d), half));
+        vy0_d           = Q6_Vsf_equals_Vqf32(vy0_d);
+        vy1_d           = Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(vy1_d), half));
+        vy1_d           = Q6_Vsf_equals_Vqf32(vy1_d);
+
+        // Convert rX_d scales from e8m0 to fp32
+        // Expand and zero-pad 32x uint8 e8m0 values to uint32s : 0 0 0 0, 0 0 0 1, 0 0 0 2, ...
+        // Left shift with zero fill to create FP32
+        // FIXME: might need to handle zero as a special case (see ggml-cpu code)
+        HVX_Vector expand    = *(const HVX_Vector *) expand_x32_e8m0;
+        HVX_Vector e8m0_mask = Q6_V_vsplat_R(0x000000ff);
+        r0_d                 = Q6_V_vdelta_VV(r0_d, expand);
+        r0_d                 = Q6_V_vand_VV(r0_d, e8m0_mask);
+        r0_d                 = Q6_Vw_vasl_VwR(r0_d, 23);
+        r1_d                 = Q6_V_vdelta_VV(r1_d, expand);
+        r1_d                 = Q6_V_vand_VV(r1_d, e8m0_mask);
+        r1_d                 = Q6_Vw_vasl_VwR(r1_d, 23);
+
+        // Compute combined scales
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r0_d, vy0_d));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r0_d, vy1_d));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r1_d, vy0_d));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r1_d, vy1_d));
+
+        // Apply scales and accumulate
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    // Process leftovers
+    if (nloe) {
+        HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size);
+        HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size);
+        HVX_Vector_x8 r0_q  = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size);
+        HVX_Vector_x8 r1_q  = hvx_vec_load_mxfp4x4x8(r1_x_q + i * x_qblk_size);
+
+        HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy0_q, nloe));
+        HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy1_q, nloe));
+        HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy0_q, nloe));
+        HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy1_q, nloe));
+
+        HVX_Vector vy0_d = *(const HVX_UVector *) (y0_d   + i * y_dblk_size);
+        HVX_Vector vy1_d = *(const HVX_UVector *) (y1_d   + i * y_dblk_size);
+        HVX_Vector r0_d  = *(const HVX_UVector *) (r0_x_d + i * x_dblk_size);
+        HVX_Vector r1_d  = *(const HVX_UVector *) (r1_x_d + i * x_dblk_size);
+
+        // Convert vy_d from fp16 to fp32 while applying 0.5 scaling which is used for e8m0 halving
+        HVX_Vector half = Q6_Vh_vsplat_R(0x3800);  // 0.5 in fp16
+        vy0_d           = Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(vy0_d), half));
+        vy0_d           = Q6_Vsf_equals_Vqf32(vy0_d);
+        vy1_d           = Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(vy1_d), half));
+        vy1_d           = Q6_Vsf_equals_Vqf32(vy1_d);
+
+        // Convert rX_d scales from e8m0 to fp32
+        // Expand and zero-pad 32x uint8 e8m0 values to uint32s : 0 0 0 0, 0 0 0 1, 0 0 0 2, ...
+        // Left shift with zero fill to create FP32
+        // FIXME: might need to handle zero as a special case (see ggml-cpu code)
+        HVX_Vector expand    = *(const HVX_Vector *) expand_x32_e8m0;
+        HVX_Vector e8m0_mask = Q6_V_vsplat_R(0x000000ff);
+        r0_d                 = Q6_V_vdelta_VV(r0_d, expand);
+        r0_d                 = Q6_V_vand_VV(r0_d, e8m0_mask);
+        r0_d                 = Q6_Vw_vasl_VwR(r0_d, 23);
+        r1_d                 = Q6_V_vdelta_VV(r1_d, expand);
+        r1_d                 = Q6_V_vand_VV(r1_d, e8m0_mask);
+        r1_d                 = Q6_Vw_vasl_VwR(r1_d, 23);
+
+        HVX_Vector r0_c0_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r0_d, vy0_d));
+        HVX_Vector r0_c1_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r0_d, vy1_d));
+        HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r1_d, vy0_d));
+        HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(r1_d, vy1_d));
+
+        // Zero out unused scales
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8);
+        r0_c0_dd = Q6_V_vand_QV(bmask, r0_c0_dd);
+        r0_c1_dd = Q6_V_vand_QV(bmask, r0_c1_dd);
+        r1_c0_dd = Q6_V_vand_QV(bmask, r1_c0_dd);
+        r1_c1_dd = Q6_V_vand_QV(bmask, r1_c1_dd);
+        r0_c0_ia = Q6_V_vand_QV(bmask, r0_c0_ia);
+        r0_c1_ia = Q6_V_vand_QV(bmask, r0_c1_ia);
+        r1_c0_ia = Q6_V_vand_QV(bmask, r1_c0_ia);
+        r1_c1_ia = Q6_V_vand_QV(bmask, r1_c1_ia);
+
+        HVX_Vector r0_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c0_ia, r0_c0_dd);
+        HVX_Vector r0_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r0_c1_ia, r0_c1_dd);
+        HVX_Vector r1_c0_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c0_ia, r1_c0_dd);
+        HVX_Vector r1_c1_fa = Q6_Vqf32_vmpy_VsfVsf(r1_c1_ia, r1_c1_dd);
+
+        r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c0_fa, r0_c0_sum));
+        r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_c1_fa, r0_c1_sum));
+        r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c0_fa, r1_c0_sum));
+        r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_c1_fa, r1_c1_sum));
+    }
+
+    // Reduce and store results
+    HVX_Vector r0_r1_c0_sum = hvx_vec_reduce_sum_f32x2(r0_c0_sum, r1_c0_sum);
+    HVX_Vector r0_r1_c1_sum = hvx_vec_reduce_sum_f32x2(r0_c1_sum, r1_c1_sum);
+
+    hvx_vec_store_u(&s0[0], 8, r0_r1_c0_sum);  // row0,col0 row1,col0
+    hvx_vec_store_u(&s1[0], 8, r0_r1_c1_sum);  // row0,col1 row1,col1
 }
 
-static void vec_dot_f16_f16_aa(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
+static void vec_dot_f16_f16_aa_1x1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
     const HVX_Vector * restrict x = (const HVX_Vector *) vx;
     const HVX_Vector * restrict y = (const HVX_Vector *) vy;
 
     uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors
     uint32_t nloe = n % VLEN_FP16; // leftover elements
 
-    HVX_Vector rsum = Q6_V_vsplat_R(0);
+    HVX_VectorPair rsum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
 
     uint32_t i = 0;
 
     #pragma unroll(4)
     for (i = 0; i < nvec; i++) {
-        HVX_VectorPair xy_qf = Q6_Wqf32_vmpy_VhfVhf(x[i], y[i]);
-        rsum = Q6_Vqf32_vadd_Vqf32Vqf32(rsum, Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy_qf),  Q6_V_hi_W(xy_qf)));
+        rsum_p = hvx_vec_mpyacc_f32_f16(rsum_p, x[i], y[i]);
     }
 
     if (nloe) {
         HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
         HVX_Vector x_hf = Q6_V_vand_QV(bmask, x[i]);
         HVX_Vector y_hf = Q6_V_vand_QV(bmask, y[i]);
-
-        HVX_VectorPair xy_qf = Q6_Wqf32_vmpy_VhfVhf(x_hf, y_hf);
-        rsum = Q6_Vqf32_vadd_Vqf32Vqf32(rsum, Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy_qf),  Q6_V_hi_W(xy_qf)));
+        rsum_p = hvx_vec_mpyacc_f32_f16(rsum_p, x_hf, y_hf);
     }
 
-    rsum = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(rsum));
-    hvx_vec_store_u(&s[0], 4, rsum);
+    HVX_Vector rsum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum_p), Q6_V_hi_W(rsum_p)));
+    hvx_vec_store_u(s, 4, hvx_vec_reduce_sum_f32(rsum));
 }
 
-static void vec_dot_f16_f16_aa_rx2(const int n,
-                                float * restrict s,
-                                const void * restrict vx,
-                                uint32_t vx_row_size,
-                                const void * restrict vy) {
-    const HVX_Vector * restrict x0 = (const HVX_Vector *) vx;
-    const HVX_Vector * restrict x1 = (const HVX_Vector *) ((const uint8_t *) vx + vx_row_size);
-    const HVX_Vector * restrict y  = (const HVX_Vector *) vy;
+static void vec_dot_f16_f16_aa_2x1(const int n, float * restrict s0,
+                                const void * restrict vx0, const void * restrict vx1,
+                                const void * restrict vy0) {
+    const HVX_Vector * restrict x0 = (const HVX_Vector *) vx0;
+    const HVX_Vector * restrict x1 = (const HVX_Vector *) vx1;
+    const HVX_Vector * restrict y  = (const HVX_Vector *) vy0;
 
     uint32_t nvec = n / VLEN_FP16;
     uint32_t nloe = n % VLEN_FP16;
 
-    HVX_Vector rsum0 = Q6_V_vsplat_R(0);
-    HVX_Vector rsum1 = Q6_V_vsplat_R(0);
+    HVX_VectorPair rsum0_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair rsum1_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
 
     uint32_t i = 0;
 
     #pragma unroll(2)
     for (i = 0; i < nvec; i++) {
         HVX_Vector y_hf = y[i];
-        HVX_VectorPair xy0_qf = Q6_Wqf32_vmpy_VhfVhf(x0[i], y_hf);
-        HVX_VectorPair xy1_qf = Q6_Wqf32_vmpy_VhfVhf(x1[i], y_hf);
-
-        rsum0 = Q6_Vqf32_vadd_Vqf32Vqf32(rsum0, Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy0_qf), Q6_V_hi_W(xy0_qf)));
-        rsum1 = Q6_Vqf32_vadd_Vqf32Vqf32(rsum1, Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy1_qf), Q6_V_hi_W(xy1_qf)));
+        rsum0_p = hvx_vec_mpyacc_f32_f16(rsum0_p, x0[i], y_hf);
+        rsum1_p = hvx_vec_mpyacc_f32_f16(rsum1_p, x1[i], y_hf);
     }
 
     if (nloe) {
         HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
+        HVX_Vector y_hf  = Q6_V_vand_QV(bmask, y[i]);
         HVX_Vector x0_hf = Q6_V_vand_QV(bmask, x0[i]);
         HVX_Vector x1_hf = Q6_V_vand_QV(bmask, x1[i]);
-        HVX_Vector y_hf  = Q6_V_vand_QV(bmask, y[i]);
+        rsum0_p = hvx_vec_mpyacc_f32_f16(rsum0_p, x0_hf, y_hf);
+        rsum1_p = hvx_vec_mpyacc_f32_f16(rsum1_p, x1_hf, y_hf);
+    }
 
-        HVX_VectorPair xy0_qf = Q6_Wqf32_vmpy_VhfVhf(x0_hf, y_hf);
-        HVX_VectorPair xy1_qf = Q6_Wqf32_vmpy_VhfVhf(x1_hf, y_hf);
+    HVX_Vector rsum0 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum0_p), Q6_V_hi_W(rsum0_p)));
+    HVX_Vector rsum1 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(rsum1_p), Q6_V_hi_W(rsum1_p)));
+    HVX_Vector rsum  = hvx_vec_reduce_sum_f32x2(rsum0, rsum1);
+    hvx_vec_store_u(s0, 8, rsum);
+}
 
-        rsum0 = Q6_Vqf32_vadd_Vqf32Vqf32(rsum0, Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy0_qf), Q6_V_hi_W(xy0_qf)));
-        rsum1 = Q6_Vqf32_vadd_Vqf32Vqf32(rsum1, Q6_Vqf32_vadd_Vqf32Vqf32(Q6_V_lo_W(xy1_qf), Q6_V_hi_W(xy1_qf)));
+static void vec_dot_f16_f16_aa_2x2(const int n, float * restrict s0, float * restrict s1,
+                                const void * restrict vx0, const void * restrict vx1,
+                                const void * restrict vy0, const void * restrict vy1) {
+    const HVX_Vector * restrict x0 = (const HVX_Vector *) vx0;
+    const HVX_Vector * restrict x1 = (const HVX_Vector *) vx1;
+    const HVX_Vector * restrict y0 = (const HVX_Vector *) vy0;
+    const HVX_Vector * restrict y1 = (const HVX_Vector *) vy1;
+
+    uint32_t nvec = n / VLEN_FP16;
+    uint32_t nloe = n % VLEN_FP16;
+
+    // Row sums (sf) - 4 accumulators for 2×2 tile
+    HVX_VectorPair r0_c0_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair r0_c1_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair r1_c0_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+    HVX_VectorPair r1_c1_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0));
+
+    uint32_t i = 0;
+
+    #pragma unroll(2)
+    for (i = 0; i < nvec; i++) {
+        HVX_Vector r0_hf = x0[i];
+        HVX_Vector r1_hf = x1[i];
+        HVX_Vector c0_hf = y0[i];
+        HVX_Vector c1_hf = y1[i];
+
+        // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1
+        r0_c0_sum_p = hvx_vec_mpyacc_f32_f16(r0_c0_sum_p, r0_hf, c0_hf);
+        r0_c1_sum_p = hvx_vec_mpyacc_f32_f16(r0_c1_sum_p, r0_hf, c1_hf);
+        r1_c0_sum_p = hvx_vec_mpyacc_f32_f16(r1_c0_sum_p, r1_hf, c0_hf);
+        r1_c1_sum_p = hvx_vec_mpyacc_f32_f16(r1_c1_sum_p, r1_hf, c1_hf);
+    }
+
+    if (nloe) {
+        HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 2);
+
+        HVX_Vector r0_hf = Q6_V_vand_QV(bmask, x0[i]);
+        HVX_Vector r1_hf = Q6_V_vand_QV(bmask, x1[i]);
+        HVX_Vector c0_hf = Q6_V_vand_QV(bmask, y0[i]);
+        HVX_Vector c1_hf = Q6_V_vand_QV(bmask, y1[i]);
+
+        r0_c0_sum_p = hvx_vec_mpyacc_f32_f16(r0_c0_sum_p, r0_hf, c0_hf);
+        r0_c1_sum_p = hvx_vec_mpyacc_f32_f16(r0_c1_sum_p, r0_hf, c1_hf);
+        r1_c0_sum_p = hvx_vec_mpyacc_f32_f16(r1_c0_sum_p, r1_hf, c0_hf);
+        r1_c1_sum_p = hvx_vec_mpyacc_f32_f16(r1_c1_sum_p, r1_hf, c1_hf);
     }
 
-    HVX_Vector rsum = hvx_vec_reduce_sum_f32x2(Q6_Vsf_equals_Vqf32(rsum0), Q6_Vsf_equals_Vqf32(rsum1));
-    hvx_vec_store_u(&s[0], 8, rsum);
+    HVX_Vector r0_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(r0_c0_sum_p), Q6_V_hi_W(r0_c0_sum_p)));
+    HVX_Vector r0_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(r0_c1_sum_p), Q6_V_hi_W(r0_c1_sum_p)));
+    HVX_Vector r1_c0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(r1_c0_sum_p), Q6_V_hi_W(r1_c0_sum_p)));
+    HVX_Vector r1_c1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(r1_c1_sum_p), Q6_V_hi_W(r1_c1_sum_p)));
+
+    // Reduce and store results
+    HVX_Vector r0_r1_c0_sum = hvx_vec_reduce_sum_f32x2(r0_c0_sum, r1_c0_sum);
+    HVX_Vector r0_r1_c1_sum = hvx_vec_reduce_sum_f32x2(r0_c1_sum, r1_c1_sum);
+
+    hvx_vec_store_u(&s0[0], 8, r0_r1_c0_sum);  // row0,col0 row1,col0
+    hvx_vec_store_u(&s1[0], 8, r0_r1_c1_sum);  // row0,col1 row1,col1
 }
 
-static void vec_dot_f16_f16_uu(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
+static void vec_dot_f16_f16_uu_1x1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
     const HVX_UVector * restrict x = (const HVX_UVector *) vx;
     const HVX_UVector * restrict y = (const HVX_UVector *) vy;
 
@@ -986,7 +1381,7 @@ static void vec_dot_f16_f16_uu(const int n, float * restrict s, const void * res
     hvx_vec_store_u(&s[0], 4, rsum);
 }
 
-static void vec_dot_f16_f32_uu(const int n, float * restrict s, const void * restrict x, const void * restrict y) {
+static void vec_dot_f16_f32_uu_1x1(const int n, float * restrict s, const void * restrict x, const void * restrict y) {
     const HVX_UVector * restrict vx = (const HVX_UVector * restrict) x;
     const HVX_UVector * restrict vy = (const HVX_UVector * restrict) y;
 
@@ -1083,14 +1478,16 @@ static void vec_dot_f16_f32_uu(const int n, float * restrict s, const void * res
     const uint32_t nb2 = dst->nb[2];   \
     const uint32_t nb3 = dst->nb[3];
 
-#define htp_matmul_preamble            \
-    htp_matmul_tensors_preamble;       \
-    dma_queue *dma_queue           = octx->ctx->dma[ith];         \
-    uint32_t src0_nrows_per_thread = octx->src0_nrows_per_thread;
+#define htp_matmul_preamble                                     \
+    struct htp_matmul_context * mmctx = data;                   \
+    struct htp_ops_context * octx  = mmctx->octx;               \
+    htp_matmul_tensors_preamble;                                \
+    dma_queue *dma_queue           = octx->ctx->dma[ith];       \
+    uint32_t src0_nrows_per_thread = mmctx->src0_nrows_per_thread;
 
 // *** matmul with support for 4d tensors and full broadcasting
 
-static void matmul_4d(struct htp_matmul_type * mt, struct htp_ops_context * octx, uint32_t nth, uint32_t ith) {
+static void matmul_4d(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
     uint64_t t1, t2;
@@ -1136,13 +1533,13 @@ static void matmul_4d(struct htp_matmul_type * mt, struct htp_ops_context * octx
     for (uint32_t iir1 = ir1_start; iir1 < ir1_end; iir1 += blck_1) {
         for (uint32_t iir0 = ir0_start; iir0 < ir0_end; iir0 += blck_0) {
             for (uint32_t ir1 = iir1; ir1 < MIN(iir1 + blck_1, ir1_end); ir1++) {
-                const uint32_t i13 = fastdiv(ir1, &octx->mm_div_ne12_ne1);
-                const uint32_t i12 = fastdiv(ir1 - i13 * ne12 * ne1, &octx->mm_div_ne1);
+                const uint32_t i13 = fastdiv(ir1, &mmctx->mm_div_ne12_ne1);
+                const uint32_t i12 = fastdiv(ir1 - i13 * ne12 * ne1, &mmctx->mm_div_ne1);
                 const uint32_t i11 = (ir1 - i13 * ne12 * ne1 - i12 * ne1);
 
                 // broadcast src0 into src1
-                const uint32_t i03 = fastdiv(i13, &octx->mm_div_r3);
-                const uint32_t i02 = fastdiv(i12, &octx->mm_div_r2);
+                const uint32_t i03 = fastdiv(i13, &mmctx->mm_div_r3);
+                const uint32_t i02 = fastdiv(i12, &mmctx->mm_div_r2);
 
                 const uint32_t i1 = i11;
                 const uint32_t i2 = i12;
@@ -1155,7 +1552,7 @@ static void matmul_4d(struct htp_matmul_type * mt, struct htp_ops_context * octx
                 const uint32_t ir0_block_end = MIN(iir0 + blck_0, ir0_end);
                 for (uint32_t ir0 = iir0; ir0 < ir0_block_end; ir0++) {
                     const uint8_t * restrict src0_row = src0_base + ir0 * nb01;
-                    mt->vec_dot(ne00, &dst_col[ir0], src0_row, src1_col);
+                    mmctx->vec_dot_1x1(ne00, &dst_col[ir0], src0_row, src1_col);
                 }
             }
         }
@@ -1170,7 +1567,7 @@ static void matmul_4d(struct htp_matmul_type * mt, struct htp_ops_context * octx
 }
 
 // src1 tensor is already in VTCM spad
-static void matmul_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx, uint32_t nth, uint32_t ith) {
+static void matmul_2d(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
     const uint32_t src0_nrows = ne01 * ne02 * ne03;  // src0 rows
@@ -1195,7 +1592,7 @@ static void matmul_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx
     // Per-thread VTCM scratchpads for all tensors
     // Note that the entire src1 tensor is already in VTCM
     // For other tensors we allocate N rows per thread, padded to HVX vector size
-    uint8_t * restrict spad_dst  = dst_spad->data + dst_spad->size_per_thread * ith;
+    uint8_t * restrict spad_dst  = dst_spad->data  + dst_spad->size_per_thread  * ith;
     uint8_t * restrict spad_src0 = src0_spad->data + src0_spad->size_per_thread * ith;
     uint8_t * restrict src1_data = src1_spad->data;
 
@@ -1219,11 +1616,21 @@ static void matmul_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx
     for (uint32_t ir0 = src0_start_row; ir0 < src0_end_row_x2; ir0 += 2) {
         const uint8_t * ss0 = dma_queue_pop(dma_queue).dst;
 
-        #pragma unroll(2)
-        for (uint32_t ir1 = 0; ir1 < src1_nrows; ++ir1) {
+        // Process src1 columns in pairs (2×2 tiling)
+        uint32_t ir1 = 0;
+        for (; ir1 + 1 < src1_nrows; ir1 += 2) {
+            const uint8_t * restrict src1_col0 = (const uint8_t *) (src1_data + (ir1+0) * src1_stride);
+            const uint8_t * restrict src1_col1 = (const uint8_t *) (src1_data + (ir1+1) * src1_stride);
+            float * restrict dst_row0 = (float *) (dst->data + ((ir1+0) * dst_row_size));
+            float * restrict dst_row1 = (float *) (dst->data + ((ir1+1) * dst_row_size));
+            mmctx->vec_dot_2x2(ne00, &dst_row0[ir0], &dst_row1[ir0], ss0, ss0 + src0_stride, src1_col0, src1_col1);
+        }
+
+        // Handle remaining src1 rows (fallback to 2×1)
+        for (; ir1 < src1_nrows; ++ir1) {
             const uint8_t * restrict src1_col = (const uint8_t *) (src1_data + ir1 * src1_stride);
             float * restrict dst_row          = (float *) (dst->data + (ir1 * dst_row_size));
-            mt->vec_dot_rx2(ne00, &dst_row[ir0], ss0, src0_stride, src1_col);
+            mmctx->vec_dot_2x1(ne00, &dst_row[ir0], ss0, ss0 + src0_stride, src1_col);
         }
 
         // Prefetch next (n + spad_nrows) row
@@ -1247,20 +1654,20 @@ static void matmul_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx
         for (uint32_t ir1 = 0; ir1 < src1_nrows; ++ir1) {
             const uint8_t * restrict src1_col = (const uint8_t *) (src1_data + ir1 * src1_stride);
             float * restrict dst_row          = (float *) (dst->data + (ir1 * dst_row_size));
-            mt->vec_dot(ne00, &dst_row[ir0], ss0, src1_col);
+            mmctx->vec_dot_1x1(ne00, &dst_row[ir0], ss0, src1_col);
         }
     }
 
     t2 = HAP_perf_get_qtimer_count();
 
-    FARF(HIGH, "matmul-%s %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", mt->type, ith, nth,
+    FARF(HIGH, "matmul-%s %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", mmctx->type, ith, nth,
          src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src0_start_row, src0_end_row, src1->ne[0], src1->ne[1],
          src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
          (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
 // q8x4x2 src1 tensor is already in VTCM spad
-static void matvec_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx, uint32_t nth, uint32_t ith) {
+static void matvec_2d(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
     const uint32_t src0_nrows = ne01;
@@ -1311,7 +1718,7 @@ static void matvec_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx
     // Process src0 rows
     for (uint32_t ir0 = src0_start_row; ir0 < src0_end_row_x2; ir0 += 2) {
         const uint8_t * ss0 = dma_queue_pop(dma_queue).dst;
-        mt->vec_dot_rx2(ne00, &tmp[ir0 - src0_start_row], ss0, src0_stride, src1_col);
+        mmctx->vec_dot_2x1(ne00, &tmp[ir0 - src0_start_row], ss0, ss0 + src0_stride, src1_col);
 
         // Prefetch next (n + spad_nrows) row
         const uint32_t pr0 = (ir0 + MM_SPAD_SRC0_NROWS);
@@ -1329,14 +1736,14 @@ static void matvec_2d(struct htp_matmul_type * mt, struct htp_ops_context * octx
         dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(spad_src0 + is0 * src0_stride, src0_row + ir0 * src0_row_size),
                        src0_stride, src0_row_size, 1);
         const uint8_t * ss0 = dma_queue_pop(dma_queue).dst;
-        mt->vec_dot(ne00, &tmp[ir0 - src0_start_row], ss0, src1_col);
+        mmctx->vec_dot_1x1(ne00, &tmp[ir0 - src0_start_row], ss0, src1_col);
     }
 
     hvx_copy_f32_ua((uint8_t *) &dst_col[src0_start_row], (uint8_t *) tmp, src0_end_row - src0_start_row);
 
     t2 = HAP_perf_get_qtimer_count();
 
-    FARF(HIGH, "matvec-%s %u/%u: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", mt->type, ith, nth,
+    FARF(HIGH, "matvec-%s %u/%u: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", mmctx->type, ith, nth,
          src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src0_start_row, src0_end_row, src1->ne[0], src1->ne[1],
          src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
          (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
@@ -1350,7 +1757,7 @@ struct mmid_row_mapping {
 };
 
 // src1 tensor is already in VTCM spad
-static void matmul_id(struct htp_matmul_type * mt, struct htp_ops_context * octx, uint32_t nth, uint32_t ith) {
+static void matmul_id(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
     struct htp_tensor * restrict     ids = &octx->src2;
@@ -1423,11 +1830,10 @@ static void matmul_id(struct htp_matmul_type * mt, struct htp_ops_context * octx
                 const int               rm2         = row_mapping.i2;  // token idx
 
                 const uint32_t ir1 = src1_nrows == 1 ? 0 : rm1;        // src1 row idx
-                const uint8_t * restrict src1_col =
-                    (const uint8_t *) (src1_data + (ir1 + rm2 * ne11 + 0) * src1_row_size);
+                const uint8_t * restrict src1_col = (const uint8_t *) (src1_data + (ir1 + rm2 * ne11 + 0) * src1_row_size);
                 float * dst_row = (float *) (dst->data + (rm1 * nb1 + rm2 * nb2 + 0));
 
-                mt->vec_dot_rx2(ne00, &dst_row[ir0], ss0, src0_row_size_padded, src1_col);
+                mmctx->vec_dot_2x1(ne00, &dst_row[ir0], ss0, ss0 + src0_row_size_padded, src1_col);
             }
 
             // Prefetch next (n + spad_nrows) row
@@ -1453,25 +1859,24 @@ static void matmul_id(struct htp_matmul_type * mt, struct htp_ops_context * octx
                 const int               rm2         = row_mapping.i2;  // token idx
 
                 const uint32_t ir1 = src1_nrows == 1 ? 0 : rm1;        // src1 row idx
-                const uint8_t * restrict src1_col =
-                    (const uint8_t *) (src1_data + (ir1 + rm2 * ne11 + 0) * src1_row_size);
+                const uint8_t * restrict src1_col = (const uint8_t *) (src1_data + (ir1 + rm2 * ne11 + 0) * src1_row_size);
                 float * dst_row = (float *) (dst->data + (rm1 * nb1 + rm2 * nb2 + 0));
 
-                mt->vec_dot(ne00, &dst_row[ir0], ss0, src1_col);
+                mmctx->vec_dot_1x1(ne00, &dst_row[ir0], ss0, src1_col);
             }
         }
     }
 
     t2 = HAP_perf_get_qtimer_count();
 
-    FARF(HIGH, "matmul-id-%s %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u usec %u\n", mt->type,
+    FARF(HIGH, "matmul-id-%s %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u usec %u\n", mmctx->type,
          ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src0_start_row, src0_end_row, src1->ne[0],
          src1->ne[1], src1->ne[2], src1->ne[3], ids->ne[0], ids->ne[1], ids->ne[2], ids->ne[3], dst->ne[0], dst->ne[1],
          dst->ne[2], dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
 // src1 tensor is already in VTCM spad
-static void matvec_id(struct htp_matmul_type * mt, struct htp_ops_context * octx, uint32_t nth, uint32_t ith) {
+static void matvec_id(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
     struct htp_tensor * restrict     ids = &octx->src2;
@@ -1531,7 +1936,7 @@ static void matvec_id(struct htp_matmul_type * mt, struct htp_ops_context * octx
         // Process src0 rows
         for (uint32_t ir0 = src0_start_row; ir0 < src0_end_row_x2; ir0 += 2) {
             const uint8_t * ss0 = dma_queue_pop(dma_queue).dst;
-            mt->vec_dot_rx2(ne00, &dst_row[ir0], ss0, src0_row_size_padded, src1_col);
+            mmctx->vec_dot_2x1(ne00, &dst_row[ir0], ss0, ss0 + src0_row_size_padded, src1_col);
 
             // Prefetch next (n + spad_nrows) row
             const int pr0 = (ir0 + MM_SPAD_SRC0_NROWS);
@@ -1549,13 +1954,13 @@ static void matvec_id(struct htp_matmul_type * mt, struct htp_ops_context * octx
             dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(spad_src0 + is0 * src0_row_size_padded, src0_row + ir0 * src0_row_size),
                            src0_row_size_padded, src0_row_size, 1);
             const uint8_t * ss0 = dma_queue_pop(dma_queue).dst;
-            mt->vec_dot(ne00, &dst_row[ir0], ss0, src1_col);
+            mmctx->vec_dot_1x1(ne00, &dst_row[ir0], ss0, src1_col);
         }
     }
 
     t2 = HAP_perf_get_qtimer_count();
 
-    FARF(HIGH, "matvec-id-%s %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u usec %u\n", mt->type,
+    FARF(HIGH, "matvec-id-%s %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u usec %u\n", mmctx->type,
          ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src0_start_row, src0_end_row, src1->ne[0],
          src1->ne[1], src1->ne[2], src1->ne[3], src2->ne[0], src2->ne[1], src2->ne[2], src2->ne[3], dst->ne[0],
          dst->ne[1], dst->ne[2], dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
@@ -1582,10 +1987,10 @@ static inline void quantize_block_f32_q8x1(float * restrict x, uint8_t * restric
     HVX_Vector vx3_qf = Q6_Vqf32_vsub_VsfVsf(vx[3], zero);  // 32 elements
 
     // Convert to QF32
-    HVX_Vector vmax0_qf = Q6_Vqf32_vsub_VsfVsf(vmax0_sf, zero);
-    HVX_Vector vmax1_qf = Q6_Vqf32_vsub_VsfVsf(vmax1_sf, zero);
-    HVX_Vector vmax2_qf = Q6_Vqf32_vsub_VsfVsf(vmax2_sf, zero);
-    HVX_Vector vmax3_qf = Q6_Vqf32_vsub_VsfVsf(vmax3_sf, zero);
+    HVX_Vector vmax0_qf = Q6_Vqf32_vsub_VsfVsf(vmax0_sf, zero); // replicated over all lanes
+    HVX_Vector vmax1_qf = Q6_Vqf32_vsub_VsfVsf(vmax1_sf, zero); // replicated over all lanes
+    HVX_Vector vmax2_qf = Q6_Vqf32_vsub_VsfVsf(vmax2_sf, zero); // replicated over all lanes
+    HVX_Vector vmax3_qf = Q6_Vqf32_vsub_VsfVsf(vmax3_sf, zero); // replicated over all lanes
 
     // Combine and convert to fp16
     HVX_Vector vmax01_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vmax1_qf, vmax0_qf)));
@@ -1595,11 +2000,6 @@ static inline void quantize_block_f32_q8x1(float * restrict x, uint8_t * restric
     HVX_Vector vx01_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vx1_qf, vx0_qf)));
     HVX_Vector vx23_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vx3_qf, vx2_qf)));
 
-    // Replicate first fp16 scale across all lanes
-    HVX_Vector ctrl = *(const HVX_Vector *) repl_2x_f16;
-    vmax01_hf         = Q6_V_vdelta_VV(vmax01_hf, ctrl);
-    vmax23_hf         = Q6_V_vdelta_VV(vmax23_hf, ctrl);
-
     HVX_Vector vd01_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax01_hf, Q6_Vh_vsplat_R(0x2008));  // 1.0 / 127.0
     HVX_Vector vd23_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax23_hf, Q6_Vh_vsplat_R(0x2008));  // 1.0 / 127.0
     HVX_Vector vd01_hf   = Q6_Vhf_equals_Vqf16(vd01_qf16);
@@ -1645,13 +2045,8 @@ static inline void quantize_block_f32_q8x2(float * restrict x, uint8_t * restric
     HVX_Vector vx23_hf = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(vx3_qf, vx2_qf)));
 
     // Compute max and scale
-    HVX_Vector vmax01_hf = hvx_vec_reduce_max_f16(hvx_vec_abs_f16(vx01_hf));
-    HVX_Vector vmax23_hf = hvx_vec_reduce_max_f16(hvx_vec_abs_f16(vx23_hf));
-
-    // Replicate first fp16 scale across all lanes
-    HVX_Vector ctrl = *(const HVX_Vector *) repl_1x_f16;
-    vmax01_hf         = Q6_V_vdelta_VV(vmax01_hf, ctrl);
-    vmax23_hf         = Q6_V_vdelta_VV(vmax23_hf, ctrl);
+    HVX_Vector vmax01_hf = hvx_vec_reduce_max_f16(hvx_vec_abs_f16(vx01_hf)); // replicated over all lanes
+    HVX_Vector vmax23_hf = hvx_vec_reduce_max_f16(hvx_vec_abs_f16(vx23_hf)); // replicated over all lanes
 
     HVX_Vector vd01_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax01_hf, Q6_Vh_vsplat_R(0x2008));  // 1.0 / 127.0
     HVX_Vector vd23_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax23_hf, Q6_Vh_vsplat_R(0x2008));  // 1.0 / 127.0
@@ -1694,11 +2089,7 @@ static inline void quantize_block_f32_q8x4(float * restrict x, uint8_t * restric
 
     // Compute max and scale
     HVX_Vector vmax_hf = hvx_vec_reduce_max_f16(hvx_vec_abs_f16(vx01_hf));
-    vmax_hf            = hvx_vec_reduce_max2_f16(hvx_vec_abs_f16(vx23_hf), vmax_hf);
-
-    // Replicate first fp16 scale across all lanes
-    HVX_Vector ctrl = *(const HVX_Vector *) repl_1x_f16;
-    vmax_hf         = Q6_V_vdelta_VV(vmax_hf, ctrl);
+    vmax_hf            = hvx_vec_reduce_max2_f16(hvx_vec_abs_f16(vx23_hf), vmax_hf); // replicated over all lanes
 
     HVX_Vector vd_qf16 = Q6_Vqf16_vmpy_VhfVhf(vmax_hf, Q6_Vh_vsplat_R(0x2008));  // 1.0 / 127.0
     HVX_Vector vd_hf   = Q6_Vhf_equals_Vqf16(vd_qf16);
@@ -1754,12 +2145,14 @@ static void quantize_row_f32_q8x4x2(float * restrict x, uint8_t * restrict y, ui
     hvx_copy_f16_ua(y_d, t_d, nb * 8);
 }
 
-static void quantize_f32_q8x4x2(const struct htp_tensor * src,
-                                 uint8_t * restrict dst,
-                                 struct htp_spad * spad,
-                                 uint32_t          nth,
-                                 uint32_t          ith,
-                                 uint32_t          nrows_per_thread) {
+static void quantize_f32_q8x4x2(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_matmul_context * mmctx = data;
+    struct htp_ops_context * octx = mmctx->octx;
+
+    const struct htp_tensor * src = &octx->src1;
+    uint8_t * restrict dst = octx->src1_spad.data;
+    struct htp_spad * spad = &octx->src0_spad;
+    uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
 
     uint64_t t1 = HAP_perf_get_qtimer_count();
 
@@ -1799,8 +2192,14 @@ static void quantize_f32_q8x4x2(const struct htp_tensor * src,
          ir_last, src_row_size, dst_row_size, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void quantize_f32_f16(const struct htp_tensor * src, uint8_t * restrict dst, uint32_t nth, uint32_t ith,
-                              uint32_t nrows_per_thread, uint32_t dst_stride) {
+static void quantize_f32_f16(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_matmul_context * mmctx = data;
+    struct htp_ops_context * octx = mmctx->octx;
+
+    const struct htp_tensor * src = &octx->src1;
+    uint8_t * restrict dst = octx->src1_spad.data;
+    uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
+    uint32_t dst_stride = octx->src1_spad.stride;
 
     uint64_t t1 = HAP_perf_get_qtimer_count();
 
@@ -1835,8 +2234,14 @@ static void quantize_f32_f16(const struct htp_tensor * src, uint8_t * restrict d
 }
 
 // TODO just a plain copy that should be done via the DMA during the Op setup
-static void quantize_f16_f16(const struct htp_tensor * src, uint8_t * restrict dst, uint32_t nth, uint32_t ith,
-                              uint32_t nrows_per_thread, uint32_t dst_stride) {
+static void quantize_f16_f16(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_matmul_context * mmctx = data;
+    struct htp_ops_context * octx = mmctx->octx;
+
+    const struct htp_tensor * src = &octx->src1;
+    uint8_t * restrict dst = octx->src1_spad.data;
+    uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
+    uint32_t dst_stride = octx->src1_spad.stride;
 
     uint64_t t1 = HAP_perf_get_qtimer_count();
 
@@ -1870,213 +2275,76 @@ static void quantize_f16_f16(const struct htp_tensor * src, uint8_t * restrict d
         ir_last, src_row_size, src_stride, dst_stride, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void htp_quantize_f32_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-    quantize_f32_q8x4x2(&octx->src1, octx->src1_spad.data, &octx->src0_spad, n, i, octx->src1_nrows_per_thread);
-}
-
-static void htp_quantize_f32_f16(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-    quantize_f32_f16(&octx->src1, octx->src1_spad.data, n, i, octx->src1_nrows_per_thread, octx->src1_spad.stride);
-}
-
-static void htp_quantize_f16_f16(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-    quantize_f16_f16(&octx->src1, octx->src1_spad.data, n, i, octx->src1_nrows_per_thread, octx->src1_spad.stride);
-}
-
-// ** matmul/matvec callbacks for worker_pool
-
-static void htp_matvec_2d_q4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q4x4x2_q8x4x2_rx2;
-
-    matvec_2d(&mt, octx, n, i);
-}
-
-static void htp_matmul_2d_q4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q4x4x2_q8x4x2_rx2;
-
-    matmul_2d(&mt, octx, n, i);
-}
-
-static void htp_matvec_2d_q8x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q8x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q8x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q8x4x2_q8x4x2_rx2;
-
-    matvec_2d(&mt, octx, n, i);
-}
-
-static void htp_matmul_2d_q8x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q8x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q8x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q8x4x2_q8x4x2_rx2;
-
-    matmul_2d(&mt, octx, n, i);
-}
-
-static void htp_matvec_2d_mxfp4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "mxfp4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_mxfp4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_mxfp4x4x2_q8x4x2_rx2;
-
-    matvec_2d(&mt, octx, n, i);
-}
-
-static void htp_matmul_2d_mxfp4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "mxfp4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_mxfp4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_mxfp4x4x2_q8x4x2_rx2;
-
-    matmul_2d(&mt, octx, n, i);
-}
-
-static void htp_matvec_2d_f16_f16(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "f16-f16";
-    mt.vec_dot     = vec_dot_f16_f16_aa;
-    mt.vec_dot_rx2 = vec_dot_f16_f16_aa_rx2;
-
-    matvec_2d(&mt, octx, n, i);
-}
-
-static void htp_matmul_2d_f16_f16(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "f16-f16";
-    mt.vec_dot     = vec_dot_f16_f16_aa;
-    mt.vec_dot_rx2 = vec_dot_f16_f16_aa_rx2;
-
-    matmul_2d(&mt, octx, n, i);
-}
-
-static void htp_matmul_4d_f16_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "f16-f32";
-    mt.vec_dot     = vec_dot_f16_f32_uu;
 
-    matmul_4d(&mt, octx, n, i);
-}
-
-static void htp_matmul_4d_f16_f16(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "f16-f16";
-    mt.vec_dot     = vec_dot_f16_f16_uu;
-
-    matmul_4d(&mt, octx, n, i);
-}
-
-// ** matmul-id callbacks for worker_pool
-
-static void htp_matvec_id_q4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q4x4x2_q8x4x2_rx2;
-
-    matvec_id(&mt, octx, n, i);
-}
-
-static void htp_matmul_id_q4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q4x4x2_q8x4x2_rx2;
-
-    matmul_id(&mt, octx, n, i);
-}
-
-static void htp_matvec_id_q8x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q8x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q8x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q8x4x2_q8x4x2_rx2;
-
-    matvec_id(&mt, octx, n, i);
-}
-
-static void htp_matmul_id_q8x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "q8x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_q8x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_q8x4x2_q8x4x2_rx2;
-
-    matmul_id(&mt, octx, n, i);
+static inline bool htp_is_permuted(const struct htp_tensor * t) {
+    return t->nb[0] > t->nb[1] || t->nb[1] > t->nb[2] || t->nb[2] > t->nb[3];
 }
 
-static void htp_matvec_id_mxfp4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "mxfp4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_mxfp4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_mxfp4x4x2_q8x4x2_rx2;
-
-    matvec_id(&mt, octx, n, i);
+static int htp_mminit_vec_dot(struct htp_matmul_context * mmctx, enum htp_data_type type) {
+    switch (type) {
+        case HTP_TYPE_Q4_0:
+            mmctx->type        = "q4x4x2-f32";
+            mmctx->vec_dot_1x1 = vec_dot_q4x4x2_q8x4x2_1x1;
+            mmctx->vec_dot_2x1 = vec_dot_q4x4x2_q8x4x2_2x1;
+            mmctx->vec_dot_2x2 = vec_dot_q4x4x2_q8x4x2_2x2;
+            return 0;
+        case HTP_TYPE_Q8_0:
+            mmctx->type        = "q8x4x2-f32";
+            mmctx->vec_dot_1x1 = vec_dot_q8x4x2_q8x4x2_1x1;
+            mmctx->vec_dot_2x1 = vec_dot_q8x4x2_q8x4x2_2x1;
+            mmctx->vec_dot_2x2 = vec_dot_q8x4x2_q8x4x2_2x2;
+            return 0;
+        case HTP_TYPE_MXFP4:
+            mmctx->type        = "mxfp4x4x2-f32";
+            mmctx->vec_dot_1x1 = vec_dot_mxfp4x4x2_q8x4x2_1x1;
+            mmctx->vec_dot_2x1 = vec_dot_mxfp4x4x2_q8x4x2_2x1;
+            mmctx->vec_dot_2x2 = vec_dot_mxfp4x4x2_q8x4x2_2x2;
+            return 0;
+        default:
+            return -1;
+    }
 }
 
-static void htp_matmul_id_mxfp4x4x2_q8x4x2(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = data;
-
-    struct htp_matmul_type mt;
-    mt.type        = "mxfp4x4x2-q8x4x2";
-    mt.vec_dot     = vec_dot_mxfp4x4x2_q8x4x2;
-    mt.vec_dot_rx2 = vec_dot_mxfp4x4x2_q8x4x2_rx2;
-
-    matmul_id(&mt, octx, n, i);
-}
+static void htp_mminit_spad(struct htp_ops_context * octx,
+                                 size_t dst_row_size,
+                                 size_t src0_row_size_padded,
+                                 size_t src1_row_size,
+                                 uint32_t src1_nrows,
+                                 size_t src2_spad_size_per_thread) {
+    octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
+    octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
+    octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
+
+    if (src2_spad_size_per_thread > 0) {
+        octx->src2_spad.size_per_thread = src2_spad_size_per_thread;
+        octx->src2_spad.size            = octx->src2_spad.size_per_thread;
+    }
 
-// ** main matmul entry point
+    // src0 spad is also used in dynamic quantizer to store padded src1 rows
+    size_t src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
+    if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
+        octx->src0_spad.size_per_thread = src1_row_size_padded;
+    }
 
-static inline bool htp_is_permuted(const struct htp_tensor * t) {
-    return t->nb[0] > t->nb[1] || t->nb[1] > t->nb[2] || t->nb[2] > t->nb[3];
+    octx->src1_spad.size = octx->src1_spad.size_per_thread;
+    octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
+    octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
 }
 
 int op_matmul(struct htp_ops_context * octx) {
     htp_matmul_tensors_preamble;
 
-    const char * op_type;
+    struct htp_matmul_context mmctx_struct = {0};
+    struct htp_matmul_context * mmctx = &mmctx_struct;
+    mmctx->octx = octx;
 
     const uint32_t src0_nrows = ne01 * ne02 * ne03;
     const uint32_t src1_nrows = ne11 * ne12 * ne13;
 
+    // Compute src0_nrows_per_thread
+    mmctx->src0_nrows_per_thread  = (src0_nrows + octx->n_threads - 1) / octx->n_threads;
+    mmctx->src0_nrows_per_thread += (mmctx->src0_nrows_per_thread & 1); // round up to even
+
     const size_t src0_row_size = nb01;
     const size_t dst_row_size  = nb1;
     size_t       src1_row_size = nb11;
@@ -2085,181 +2353,95 @@ int op_matmul(struct htp_ops_context * octx) {
     size_t       src1_row_size_padded;
 
     worker_callback_t quant_job_func;
-    worker_callback_t matmul_job_func;
+    worker_callback_t matmul_job_func = src1_nrows > 1 ? matmul_2d : matvec_2d;
 
     bool need_quant = !(octx->flags & HTP_OPFLAGS_SKIP_QUANTIZE);
 
-    switch (src0->type) {
-        case HTP_TYPE_Q4_0:
-            op_type        = "q4x4x2-f32";
-            quant_job_func = htp_quantize_f32_q8x4x2;
-            if (src1_nrows > 1) {
-                matmul_job_func = htp_matmul_2d_q4x4x2_q8x4x2;
-            } else {
-                matmul_job_func = htp_matvec_2d_q4x4x2_q8x4x2;
-            }
+    if (src0->type == HTP_TYPE_F16) {
+        // Try optimized f16-f16 path first (src1 in VTCM)
+        const size_t f16_src1_row_size  = hex_round_up(ne10 * 2, 128);
+        const size_t f16_src1_spad_size = hex_round_up(f16_src1_row_size * src1_nrows, 256);
+        const size_t f16_src0_spad_size = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256) * octx->n_threads;
+        const size_t f16_dst_spad_size  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256) * octx->n_threads;
 
-            src1_row_size = q8x4x2_row_size(ne10);  // row size post quantization
+        const size_t f16_total_size = f16_src1_spad_size + f16_src0_spad_size + f16_dst_spad_size;
 
-            // Entire src1 tensor is placed into the VTCM
-            // For other tensors we allocate N rows per thread, padded to HVX vector size
+        // Default matmul implementation does not support multi-batch src0 (N-vs-N broadcasting).
+        // It only supports 1-vs-N broadcasting (src0 is 2D) or standard 2D matmul.
+        const bool is_batched  = (ne02 > 1) || (ne03 > 1);
+        const bool is_permuted = htp_is_permuted(&octx->src0) || htp_is_permuted(&octx->src1);
 
-            octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-            octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
-            octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
+        if (!is_batched && !is_permuted && f16_total_size <= octx->ctx->vtcm_size) {
+            // Optimized path
+            quant_job_func     = (src1->type == HTP_TYPE_F32) ? quantize_f32_f16 : quantize_f16_f16;
+            mmctx->type        = "f16-f16";
+            mmctx->vec_dot_1x1 = vec_dot_f16_f16_aa_1x1;
+            mmctx->vec_dot_2x1 = vec_dot_f16_f16_aa_2x1;
+            mmctx->vec_dot_2x2 = vec_dot_f16_f16_aa_2x2;
 
-            // src0 spad is also used in dynamic quantizer to store padded src1 rows
-            src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
-            if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
-                octx->src0_spad.size_per_thread = src1_row_size_padded;
-            }
-
-            octx->src1_spad.size = octx->src1_spad.size_per_thread;
-            octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
-            octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-            break;
-
-        case HTP_TYPE_Q8_0:
-            op_type        = "q8x4x2-f32";
-            quant_job_func = htp_quantize_f32_q8x4x2;
-            if (src1_nrows > 1) {
-                matmul_job_func = htp_matmul_2d_q8x4x2_q8x4x2;
-            } else {
-                matmul_job_func = htp_matvec_2d_q8x4x2_q8x4x2;
-            }
-
-            src1_row_size = q8x4x2_row_size(ne10);  // row size post quantization
-
-            // Entire src1 tensor is placed into the VTCM
-            // For other tensors we allocate N rows per thread, padded to HVX vector size
+            src1_row_size = f16_src1_row_size;  // row size post quantization
 
             octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
             octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
             octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
 
-            // src0 spad is also used in dynamic quantizer to store padded src1 rows
-            src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
-            if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
-                octx->src0_spad.size_per_thread = src1_row_size_padded;
-            }
-
             octx->src1_spad.size = octx->src1_spad.size_per_thread;
             octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
             octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-            break;
-
-        case HTP_TYPE_MXFP4:
-            op_type        = "mxfp4x4x2-f32";
-            quant_job_func = htp_quantize_f32_q8x4x2;
-            if (src1_nrows > 1) {
-                matmul_job_func = htp_matmul_2d_mxfp4x4x2_q8x4x2;
+        } else {
+            // Fallback to f16/f32 (DDR) if src1 doesn't fit in VTCM or broadcasting is required
+            quant_job_func = NULL;
+            if (src1->type == HTP_TYPE_F32) {
+                mmctx->type        = "f16-f32";
+                mmctx->vec_dot_1x1 = vec_dot_f16_f32_uu_1x1;
+                matmul_job_func    = matmul_4d;
             } else {
-                matmul_job_func = htp_matvec_2d_mxfp4x4x2_q8x4x2;
+                mmctx->type        = "f16-f16";
+                mmctx->vec_dot_1x1 = vec_dot_f16_f16_uu_1x1;
+                matmul_job_func    = matmul_4d;
             }
 
-            src1_row_size = q8x4x2_row_size(ne10);  // row size post quantization
-
-            // Entire src1 tensor is placed into the VTCM
-            // For other tensors we allocate N rows per thread, padded to HVX vector size
+            src1_row_size = nb11;  // original row size in DDR
 
             octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-            octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
-            octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
-
-            // src0 spad is also used in dynamic quantizer to store padded src1 rows
-            src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
-            if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
-                octx->src0_spad.size_per_thread = src1_row_size_padded;
-            }
+            octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size, 256);
+            octx->src1_spad.size_per_thread = hex_round_up(MM_SPAD_SRC1_NROWS * src1_row_size, 256);
 
-            octx->src1_spad.size = octx->src1_spad.size_per_thread;
             octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
+            octx->src1_spad.size = octx->src1_spad.size_per_thread * octx->n_threads;
             octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-            break;
 
-        case HTP_TYPE_F16:
-            {
-                // Try optimized f16-f16 path first (src1 in VTCM)
-                const size_t f16_src1_row_size  = hex_round_up(ne10 * 2, 128);
-                const size_t f16_src1_spad_size = hex_round_up(f16_src1_row_size * src1_nrows, 256);
-                const size_t f16_src0_spad_size = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256) * octx->n_threads;
-                const size_t f16_dst_spad_size  = hex_round_up(MM_SPAD_DST_NROWS  * dst_row_size, 256) * octx->n_threads;
-
-                const size_t f16_total_size = f16_src1_spad_size + f16_src0_spad_size + f16_dst_spad_size;
-
-                // Default matmul implementation does not support multi-batch src0 (N-vs-N broadcasting).
-                // It only supports 1-vs-N broadcasting (src0 is 2D) or standard 2D matmul.
-                const bool is_batched  = (ne02 > 1) || (ne03 > 1);
-                const bool is_permuted = htp_is_permuted(&octx->src0) || htp_is_permuted(&octx->src1);
-
-                if (!is_batched && !is_permuted && f16_total_size <= octx->ctx->vtcm_size) {
-                    // Optimized path
-                    op_type        = "f16-f16";
-                    quant_job_func = (src1->type == HTP_TYPE_F32) ? htp_quantize_f32_f16 : htp_quantize_f16_f16;
-                    if (src1_nrows > 1) {
-                        matmul_job_func = htp_matmul_2d_f16_f16;
-                    } else {
-                        matmul_job_func = htp_matvec_2d_f16_f16;
-                    }
-
-                    src1_row_size = f16_src1_row_size; // row size post quantization
-
-                    octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-                    octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
-                    octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
-
-                    octx->src1_spad.size = octx->src1_spad.size_per_thread;
-                    octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
-                    octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-                } else {
-                    // Fallback to f16/f32 (DDR) if src1 doesn't fit in VTCM or broadcasting is required
-                    quant_job_func  = NULL;
-                    if (src1->type == HTP_TYPE_F32) {
-                        op_type         = "f16-f32";
-                        matmul_job_func = htp_matmul_4d_f16_f32;
-                    } else {
-                        op_type         = "f16-f16";
-                        matmul_job_func = htp_matmul_4d_f16_f16;
-                    }
-
-                    src1_row_size = nb11; // original row size in DDR
-
-                    octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-                    octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size, 256);
-                    octx->src1_spad.size_per_thread = hex_round_up(MM_SPAD_SRC1_NROWS * src1_row_size, 256);
-
-                    octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
-                    octx->src1_spad.size = octx->src1_spad.size_per_thread * octx->n_threads;
-                    octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-
-                    // Init fastdiv for matmul_4d (supports broadcasting)
-                    octx->mm_div_ne12_ne1 = init_fastdiv_values(src1->ne[2] * dst->ne[1]);
-                    octx->mm_div_ne1      = init_fastdiv_values(dst->ne[1]);
-                    octx->mm_div_r2       = init_fastdiv_values(src1->ne[2] / src0->ne[2]);
-                    octx->mm_div_r3       = init_fastdiv_values(src1->ne[3] / src0->ne[3]);
-
-                    need_quant = false;
-                }
-            }
-            break;
+            // Init fastdiv for matmul_4d (supports broadcasting)
+            mmctx->mm_div_ne12_ne1 = init_fastdiv_values(src1->ne[2] * dst->ne[1]);
+            mmctx->mm_div_ne1      = init_fastdiv_values(dst->ne[1]);
+            mmctx->mm_div_r2       = init_fastdiv_values(src1->ne[2] / src0->ne[2]);
+            mmctx->mm_div_r3       = init_fastdiv_values(src1->ne[3] / src0->ne[3]);
 
-        default:
+            need_quant = false;
+        }
+    } else {
+        if (htp_mminit_vec_dot(mmctx, src0->type) != 0) {
             return HTP_STATUS_NO_SUPPORT;
+        }
+
+        quant_job_func = quantize_f32_q8x4x2;
+        src1_row_size  = q8x4x2_row_size(ne10);
+        htp_mminit_spad(octx, dst_row_size, src0_row_size_padded, src1_row_size, src1_nrows, 0);
     }
 
     // VTCM scratchpads for all tensors
     size_t spad_size = octx->src1_spad.size + octx->src0_spad.size + octx->dst_spad.size;
 
-    FARF(HIGH, "matmul-%s : src0-spad-size %u src1-spad-size %u dst-spad-size %u (%zu)\n", op_type,
+    FARF(HIGH, "matmul-%s : src0-spad-size %u src1-spad-size %u dst-spad-size %u (%zu)\n", mmctx->type,
          octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size, spad_size);
 
-    FARF(HIGH, "matmul-%s : %ux%ux%ux%u * %ux%ux%ux%u-> %ux%ux%ux%u (0x%p, 0x%p, 0x%p)\n", op_type, src0->ne[0],
+    FARF(HIGH, "matmul-%s : %ux%ux%ux%u * %ux%ux%ux%u-> %ux%ux%ux%u (0x%p, 0x%p, 0x%p)\n", mmctx->type, src0->ne[0],
          src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0],
          dst->ne[1], dst->ne[2], dst->ne[3], src0->data, src1->data, dst->data);
 
     // Make sure the reserved vtcm size is sufficient
     if (octx->ctx->vtcm_size < spad_size) {
-        FARF(ERROR, "matmul-%s : current VTCM reservation %zu is too small, needed %zu\n", op_type,
+        FARF(ERROR, "matmul-%s : current VTCM reservation %zu is too small, needed %zu\n", mmctx->type,
              octx->ctx->vtcm_size, spad_size);
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
@@ -2268,39 +2450,31 @@ int op_matmul(struct htp_ops_context * octx) {
     octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
     octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
 
-    octx->src0_nrows_per_thread = (src0_nrows + octx->n_threads - 1) / octx->n_threads;
-    octx->src0_nrows_per_thread += (octx->src0_nrows_per_thread & 1);  // round up to even
-
     octx->src0_spad.stride = src0_row_size_padded;
     octx->src1_spad.stride = src1_row_size;
 
     if (need_quant) {
-        // Run quant jobs
-        const uint32_t n_quant_jobs = MIN(src1_nrows, octx->n_threads);
-        octx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
-        worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, octx, n_quant_jobs);
+        const uint32_t n_quant_jobs  = MIN(src1_nrows, octx->n_threads);
+        mmctx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
+        worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, mmctx, n_quant_jobs);
     }
 
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        // Run matmul jobs
         const uint32_t n_matmul_jobs = octx->n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, matmul_job_func, octx, n_matmul_jobs);
+        worker_pool_run_func(octx->ctx->worker_pool, matmul_job_func, mmctx, n_matmul_jobs);
     }
 
     return HTP_STATUS_OK;
 }
 
-// ** main matmul-id entry point
-
 int op_matmul_id(struct htp_ops_context * octx) {
     htp_matmul_tensors_preamble;
 
-    struct htp_tensor * restrict ids = &octx->src2;
-
-    const char * op_type;
+    struct htp_matmul_context mmctx_struct = {0};
+    struct htp_matmul_context * mmctx = &mmctx_struct;
+    mmctx->octx = octx;
 
-    worker_callback_t quant_job_func;
-    worker_callback_t matmul_id_job_func;
+    struct htp_tensor * restrict ids = &octx->src2;
 
     const size_t src0_row_size = nb01;
     const size_t dst_row_size  = nb1;
@@ -2310,6 +2484,13 @@ int op_matmul_id(struct htp_ops_context * octx) {
     const uint32_t src0_nrows = ne01;  // per expert
     const uint32_t src1_nrows = ne11 * ne12 * ne13;
 
+    worker_callback_t quant_job_func;
+    worker_callback_t matmul_id_job_func = src1_nrows > 1 ? matmul_id : matvec_id;
+
+    // Compute src0_nrows_per_thread
+    mmctx->src0_nrows_per_thread  = (src0_nrows + octx->n_threads - 1) / octx->n_threads;
+    mmctx->src0_nrows_per_thread += (mmctx->src0_nrows_per_thread & 1); // round up to even
+
     size_t src1_row_size;
     size_t src1_row_size_padded;
 
@@ -2320,112 +2501,29 @@ int op_matmul_id(struct htp_ops_context * octx) {
     size_t matrix_row_counts_size = n_as * sizeof(uint32_t);
     size_t matrix_row_map_size    = n_as * ids->ne[0] * ids->ne[1] * sizeof(struct mmid_row_mapping);
 
-    switch (src0->type) {
-        case HTP_TYPE_Q4_0:
-            op_type        = "q4x2x2-f32";
-            quant_job_func = htp_quantize_f32_q8x4x2;
-            src1_row_size  = q8x4x2_row_size(ne10);  // row size post quantization
-            if (src1_nrows > 1) {
-                matmul_id_job_func = htp_matmul_id_q4x4x2_q8x4x2;
-            } else {
-                matmul_id_job_func = htp_matvec_id_q4x4x2_q8x4x2;
-            }
-
-            // Entire src1 tensor is placed into the VTCM
-            // For other tensors we allocate N rows per thread, padded to HVX vector size
-            octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-            octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
-            octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
-            octx->src2_spad.size_per_thread = hex_round_up(matrix_row_counts_size + matrix_row_map_size, 256);
-
-            // src0 spad is also used in dynamic quantizer to store padded src1 rows
-            src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
-            if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
-                octx->src0_spad.size_per_thread = src1_row_size_padded;
-            }
-
-            octx->src2_spad.size = octx->src2_spad.size_per_thread;
-            octx->src1_spad.size = octx->src1_spad.size_per_thread;
-            octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
-            octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-            break;
-
-        case HTP_TYPE_Q8_0:
-            op_type        = "q8x2x2-f32";
-            quant_job_func = htp_quantize_f32_q8x4x2;
-            src1_row_size  = q8x4x2_row_size(ne10);  // row size post quantization
-            if (src1_nrows > 1) {
-                matmul_id_job_func = htp_matmul_id_q8x4x2_q8x4x2;
-            } else {
-                matmul_id_job_func = htp_matvec_id_q8x4x2_q8x4x2;
-            }
-
-            // Entire src1 tensor is placed into the VTCM
-            // For other tensors we allocate N rows per thread, padded to HVX vector size
-            octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-            octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
-            octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
-            octx->src2_spad.size_per_thread = hex_round_up(matrix_row_counts_size + matrix_row_map_size, 256);
-
-            // src0 spad is also used in dynamic quantizer to store padded src1 rows
-            src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
-            if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
-                octx->src0_spad.size_per_thread = src1_row_size_padded;
-            }
-
-            octx->src2_spad.size = octx->src2_spad.size_per_thread;
-            octx->src1_spad.size = octx->src1_spad.size_per_thread;
-            octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
-            octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-            break;
-
-        case HTP_TYPE_MXFP4:
-            op_type        = "mxfp4x2x2-f32";
-            quant_job_func = htp_quantize_f32_q8x4x2;
-            src1_row_size  = q8x4x2_row_size(ne10);  // row size post quantization
-            if (src1_nrows > 1) {
-                matmul_id_job_func = htp_matmul_id_mxfp4x4x2_q8x4x2;
-            } else {
-                matmul_id_job_func = htp_matvec_id_mxfp4x4x2_q8x4x2;
-            }
-
-            // Entire src1 tensor is placed into the VTCM
-            // For other tensors we allocate N rows per thread, padded to HVX vector size
-            octx->dst_spad.size_per_thread  = hex_round_up(MM_SPAD_DST_NROWS * dst_row_size, 256);
-            octx->src0_spad.size_per_thread = hex_round_up(MM_SPAD_SRC0_NROWS * src0_row_size_padded, 256);
-            octx->src1_spad.size_per_thread = hex_round_up(src1_row_size * src1_nrows, 256);
-            octx->src2_spad.size_per_thread = hex_round_up(matrix_row_counts_size + matrix_row_map_size, 256);
-
-            // src0 spad is also used in dynamic quantizer to store padded src1 rows
-            src1_row_size_padded = hex_round_up(src1_row_size, QK_Q8_0x4x2 * sizeof(float));
-            if (octx->src0_spad.size_per_thread < src1_row_size_padded) {
-                octx->src0_spad.size_per_thread = src1_row_size_padded;
-            }
+    if (htp_mminit_vec_dot(mmctx, src0->type) != 0) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
 
-            octx->src2_spad.size = octx->src2_spad.size_per_thread;
-            octx->src1_spad.size = octx->src1_spad.size_per_thread;
-            octx->src0_spad.size = octx->src0_spad.size_per_thread * octx->n_threads;
-            octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
-            break;
+    quant_job_func = quantize_f32_q8x4x2;
+    src1_row_size  = q8x4x2_row_size(ne10);
 
-        default:
-            return HTP_STATUS_NO_SUPPORT;
-    }
+    const size_t src2_spad_size_per_thread = hex_round_up(matrix_row_counts_size + matrix_row_map_size, 256);
+    htp_mminit_spad(octx, dst_row_size, src0_row_size_padded, src1_row_size, src1_nrows, src2_spad_size_per_thread);
 
     size_t spad_size = octx->src2_spad.size + octx->src1_spad.size + octx->src0_spad.size + octx->dst_spad.size;
 
-    FARF(HIGH, "matmul-id-%s : src0-spad-size %u src1-spad-size %u src2-spad-size %u dst-spad-size %u (%zu)\n", op_type,
+    FARF(HIGH, "matmul-id-%s : src0-spad-size %u src1-spad-size %u src2-spad-size %u dst-spad-size %u (%zu)\n", mmctx->type,
          octx->src0_spad.size, octx->src1_spad.size, octx->src2_spad.size, octx->dst_spad.size, spad_size);
 
-    FARF(HIGH, "matmul-id-%s : %ux%ux%ux%u * %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u (0x%p, 0x%p, 0x%p)\n", op_type,
+    FARF(HIGH, "matmul-id-%s : %ux%ux%ux%u * %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u (0x%p, 0x%p, 0x%p)\n", mmctx->type,
          src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
          ids->ne[0], ids->ne[1], ids->ne[2], ids->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], src0->data,
          src1->data, dst->data);
 
     // Make sure the reserved vtcm size is sufficient
     if (octx->ctx->vtcm_size < spad_size) {
-        FARF(ERROR, "matmul-id-%s : current VTCM reservation %zu is too small, needed %zu\n", op_type,
-             octx->ctx->vtcm_size, spad_size);
+        FARF(ERROR, "matmul-id-%s : current VTCM reservation %zu is too small, needed %zu\n", mmctx->type, octx->ctx->vtcm_size, spad_size);
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
@@ -2434,8 +2532,8 @@ int op_matmul_id(struct htp_ops_context * octx) {
     octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size;
     octx->dst_spad.data  = octx->src2_spad.data + octx->src2_spad.size;
 
-    octx->src0_nrows_per_thread = (src0_nrows + octx->n_threads - 1) / octx->n_threads;
-    octx->src0_nrows_per_thread += (octx->src0_nrows_per_thread & 1);  // round up to even
+    octx->src0_spad.stride = src0_row_size_padded;
+    octx->src1_spad.stride = src1_row_size;
 
     if (src1_nrows > 1) {
         // initialize matrix_row_counts and map
@@ -2447,8 +2545,7 @@ int op_matmul_id(struct htp_ops_context * octx) {
         // group rows by src0 matrix
         for (uint32_t iid1 = 0; iid1 < ids->ne[1]; ++iid1) {  // token idx
             for (uint32_t id = 0; id < n_ids; ++id) {         // expert idx
-                const uint32_t i02 =
-                    *(const uint32_t *) ((const uint8_t *) ids->data + iid1 * ids->nb[1] + id * ids->nb[0]);
+                const uint32_t i02 = *(const uint32_t *) ((const uint8_t *) ids->data + iid1 * ids->nb[1] + id * ids->nb[0]);
 
                 assert(i02 >= 0 && i02 < n_as);
 
@@ -2460,16 +2557,14 @@ int op_matmul_id(struct htp_ops_context * octx) {
 
     // Setup worker pool callbacks
     if (!(octx->flags & HTP_OPFLAGS_SKIP_QUANTIZE)) {
-        // Run quant jobs
         const uint32_t n_quant_jobs = MIN(src1_nrows, octx->n_threads);
-        octx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
-        worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, octx, n_quant_jobs);
+        mmctx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
+        worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, mmctx, n_quant_jobs);
     }
 
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        // Run matmul-id jobs
         const uint32_t n_matmul_jobs = octx->n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, matmul_id_job_func, octx, n_matmul_jobs);
+        worker_pool_run_func(octx->ctx->worker_pool, matmul_id_job_func, mmctx, n_matmul_jobs);
     }
 
     return HTP_STATUS_OK;
diff --git a/ggml/src/ggml-hexagon/htp/rope-ops.c b/ggml/src/ggml-hexagon/htp/rope-ops.c
index 943ca5c952e..be9469538f6 100644
--- a/ggml/src/ggml-hexagon/htp/rope-ops.c
+++ b/ggml/src/ggml-hexagon/htp/rope-ops.c
@@ -10,6 +10,7 @@
 
 #include "hex-dma.h"
 #include "hvx-utils.h"
+#include "hex-fastdiv.h"
 
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
@@ -17,10 +18,13 @@
 #include "htp-msg.h"
 #include "htp-ops.h"
 
-// Redefined the types GGML_ROPE_TYPE_NORMAL & GGML_ROPE_TYPE_NEOX as we cant include ggml.h
+// Redefined the types GGML_ROPE_TYPE_NORMAL & GGML_ROPE_TYPE_NEOX as we can't include ggml.h
 #define HTP_ROPE_TYPE_NORMAL 0
 #define HTP_ROPE_TYPE_NEOX   2
 
+#define HTP_ROPE_SPAD_NROWS  16
+#define HTP_ROPE_SPAD_BLOCK  (HTP_ROPE_SPAD_NROWS/2)
+
 #define htp_rope_preamble              \
     const uint32_t ne00 = src0->ne[0]; \
     const uint32_t ne01 = src0->ne[1]; \
@@ -42,7 +46,7 @@
     const uint32_t nb2 = dst->nb[2];   \
     const uint32_t nb3 = dst->nb[3];
 
-struct rope_th_ctx {
+struct htp_rope_context {
     int32_t n_dims;
     int32_t mode;
     int32_t n_ctx_orig;
@@ -57,7 +61,19 @@ struct rope_th_ctx {
     float theta_scale;
     float corr_dims[2];
 
+    uint32_t src0_nrows_per_thread;
+    size_t spad_stride;
+
     struct htp_ops_context * octx;
+
+    size_t src0_row_size;
+    size_t dst_row_size;
+    size_t src0_row_size_aligned;
+    size_t dst_row_size_aligned;
+    size_t theta_cache_offset;
+    uint32_t src0_nrows;
+
+    uint64_t t_start;
 };
 
 static float rope_yarn_ramp(const float low, const float high, const int i0) {
@@ -117,64 +133,23 @@ static void rope_corr_dims(int     n_dims,
     dims[1]     = MIN(n_dims - 1, end);
 }
 
-static void init_rope_ctx(struct rope_th_ctx * rope_ctx, struct htp_ops_context * octx) {
-    memset(rope_ctx, 0, sizeof(struct rope_th_ctx));
-
-    const int32_t * op_params = &octx->op_params[0];
-
-    rope_ctx->n_dims     = ((const int32_t *) op_params)[1];
-    rope_ctx->mode       = ((const int32_t *) op_params)[2];
-    rope_ctx->n_ctx_orig = ((const int32_t *) op_params)[4];
-
-    memcpy(&rope_ctx->freq_base, (int32_t *) op_params + 5, sizeof(float));
-    memcpy(&rope_ctx->freq_scale, (int32_t *) op_params + 6, sizeof(float));
-    memcpy(&rope_ctx->ext_factor, (int32_t *) op_params + 7, sizeof(float));
-    memcpy(&rope_ctx->attn_factor, (int32_t *) op_params + 8, sizeof(float));
-    memcpy(&rope_ctx->beta_fast, (int32_t *) op_params + 9, sizeof(float));
-    memcpy(&rope_ctx->beta_slow, (int32_t *) op_params + 10, sizeof(float));
-    memcpy(&rope_ctx->sections, (int32_t *) op_params + 11, sizeof(int) * 4);
-
-    rope_ctx->theta_scale = powf(rope_ctx->freq_base, -2.0f / rope_ctx->n_dims);
-
-    rope_corr_dims(rope_ctx->n_dims, rope_ctx->n_ctx_orig, rope_ctx->freq_base, rope_ctx->beta_fast,
-                   rope_ctx->beta_slow, rope_ctx->corr_dims);
-
-    rope_ctx->octx = octx;
-    FARF(HIGH, "rope-f32 n_dims:%d, ext_factor:%.6f, theta_scale:%.6f, attn_factor:%.6f\n", rope_ctx->n_dims,
-         rope_ctx->ext_factor, rope_ctx->theta_scale, rope_ctx->attn_factor);
-}
+static inline void hvx_rope_neox_f32_aa(float * restrict dst, const float * restrict src0, uint32_t ne, const float * restrict theta_cache) {
+    const HVX_Vector * restrict vsrc   = (const HVX_Vector *) src0;
+    const HVX_Vector * restrict vtheta = (const HVX_Vector *) theta_cache;
+    HVX_Vector       * restrict vdst   = (HVX_Vector *) dst;
 
-static void hvx_calc_rope_neox_f32(const float * restrict src0,
-                                   float * restrict dst,
-                                   const int num_elems,
-                                   const float * restrict theta_cache) {
-    // for (int i = 0; i < num_elems; i += 2) {
-    //const float cos_theta = theta_cache[i + 0];
-    //const float sin_theta = theta_cache[i + 1];
+    uint32_t nvec = (ne / (VLEN_FP32 * 2) * 2); // 2 vecs per loop, step of 2
 
-    //const float x0 = src[0];
-    //const float x1 = src[num_elems/2];
+    uint32_t he = ne / 2;         // half_dims offset in elements
+    uint32_t hv = he / VLEN_FP32; // half_dims offset in vectors
 
-    //dst[0] = x0*cos_theta - x1*sin_theta;
-    //dst[num_elems/2] = x0*sin_theta + x1*cos_theta;
+    #pragma unroll(2)
+    for (uint32_t i = 0; i < nvec; i += 2) {
+        HVX_Vector v0 = vsrc[i/2+0];
+        HVX_Vector v1 = vsrc[i/2+hv];
 
-    //src += 1;
-    //dst += 1;
-    // }
-
-    const uint8_t * restrict src0_curr  = (const uint8_t *) src0;
-    const uint8_t * restrict theta_curr = (const uint8_t *) theta_cache;
-    uint8_t * restrict dst_curr         = (uint8_t *) dst;
-
-    int step_of_1 = num_elems >> 6;  // 6 because we process two vectors at once
-    int half_size = (sizeof(float) * (num_elems / 2));
-
-    for (int i = 0; i < step_of_1; i++) {
-        HVX_Vector v0 = *(HVX_Vector *) src0_curr;
-        HVX_Vector v1 = *(HVX_Vector *) (src0_curr + half_size);
-
-        HVX_Vector v2 = *(HVX_Vector *) theta_curr;
-        HVX_Vector v3 = *(HVX_Vector *) (theta_curr + VLEN);
+        HVX_Vector v2 = vtheta[i+0];
+        HVX_Vector v3 = vtheta[i+1];
 
         HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(v3, v2, -4);  // vcos_sin[0] = cos_theta, vcos_sin[1] = sin_theta
 
@@ -186,45 +161,34 @@ static void hvx_calc_rope_neox_f32(const float * restrict src0,
         HVX_Vector v4 = Q6_Vqf32_vsub_Vqf32Vqf32(vx0_c, vx1_s);
         HVX_Vector v5 = Q6_Vqf32_vadd_Vqf32Vqf32(vx0_s, vx1_c);
 
-        *(HVX_Vector *) dst_curr               = Q6_Vsf_equals_Vqf32(v4);
-        *(HVX_Vector *) (dst_curr + half_size) = Q6_Vsf_equals_Vqf32(v5);
+        vdst[i/2+0]  = Q6_Vsf_equals_Vqf32(v4);
+        vdst[i/2+hv] = Q6_Vsf_equals_Vqf32(v5);
+    }
 
-        src0_curr += VLEN;
-        theta_curr += 2 * VLEN;
-        dst_curr += VLEN;
+    for (uint32_t i = nvec * VLEN_FP32; i < ne; i += 2) {
+        const float cos_theta = theta_cache[i+0];
+        const float sin_theta = theta_cache[i+1];
+        float x0 = src0[i/2];
+        float x1 = src0[i/2 + he];
+        dst[i/2]      = x0 * cos_theta - x1 * sin_theta;
+        dst[i/2 + he] = x0 * sin_theta + x1 * cos_theta;
     }
 }
 
-static void hvx_calc_rope_f32(const float * restrict src0,
-                              float * restrict dst,
-                              const int num_elems,
-                              const float * restrict theta_cache) {
-    // for (int i = 0; i < num_elems; i += 2) {
-    //const float cos_theta = theta_cache[i + 0];
-    //const float sin_theta = theta_cache[i + 1];
-
-    //const float x0 = src[0];
-    //const float x1 = src[1];
+static inline void hvx_rope_f32_aa(float * restrict dst, const float * restrict src0, uint32_t ne, const float * restrict theta_cache) {
+    const HVX_Vector * restrict vsrc   = (const HVX_Vector *) src0;
+    const HVX_Vector * restrict vtheta = (const HVX_Vector *) theta_cache;
+    HVX_Vector       * restrict vdst   = (HVX_Vector *) dst;
 
-    //dst[0] = x0*cos_theta - x1*sin_theta;
-    //dst[1] = x0*sin_theta + x1*cos_theta;
+    uint32_t nvec = (ne / (VLEN_FP32 * 2)) * 2; // 2 vecs per loop, step of two
 
-    //src += 2;
-    //dst += 2;
-    // }
+    #pragma unroll(2)
+    for (uint32_t i = 0; i < nvec; i+=2) {
+        HVX_Vector v0 = vsrc[i+0];
+        HVX_Vector v1 = vsrc[i+1];
 
-    const uint8_t * restrict src0_curr  = (const uint8_t *) src0;
-    const uint8_t * restrict theta_curr = (const uint8_t *) theta_cache;
-    uint8_t * restrict dst_curr         = (uint8_t *) dst;
-
-    int step_of_1 = num_elems >> 6;  // 6 because we process two vectors at once
-
-    for (int i = 0; i < step_of_1; i++) {
-        HVX_Vector v0 = *(HVX_Vector *) src0_curr;
-        HVX_Vector v1 = *(HVX_Vector *) (src0_curr + VLEN);
-
-        HVX_Vector v2 = *(HVX_Vector *) theta_curr;
-        HVX_Vector v3 = *(HVX_Vector *) (theta_curr + VLEN);
+        HVX_Vector v2 = vtheta[i+0];
+        HVX_Vector v3 = vtheta[i+1];
 
         HVX_VectorPair vx0_x1   = Q6_W_vdeal_VVR(v1, v0, -4);  // vx0_x1[0] = x0, vx0_x1[1] = x1
         HVX_VectorPair vcos_sin = Q6_W_vdeal_VVR(v3, v2, -4);  // vcos_sin[0] = cos_theta, vcos_sin[1] = sin_theta
@@ -239,151 +203,182 @@ static void hvx_calc_rope_f32(const float * restrict src0,
 
         HVX_VectorPair vstore = Q6_W_vshuff_VVR(Q6_Vsf_equals_Vqf32(v5), Q6_Vsf_equals_Vqf32(v4), -4);
 
-        *(HVX_Vector *) dst_curr          = Q6_V_lo_W(vstore);
-        *(HVX_Vector *) (dst_curr + VLEN) = Q6_V_hi_W(vstore);
+        vdst[i+0] = Q6_V_lo_W(vstore);
+        vdst[i+1] = Q6_V_hi_W(vstore);
+    }
+
+    for (uint32_t i = nvec * VLEN_FP32; i < ne; i += 2) {
+        const float cos_theta = theta_cache[i+0];
+        const float sin_theta = theta_cache[i+1];
+        float x0 = src0[i+0];
+        float x1 = src0[i+1];
+        dst[i+0] = x0 * cos_theta - x1 * sin_theta;
+        dst[i+1] = x0 * sin_theta + x1 * cos_theta;
+    }
+}
+
+static void inline rope_basic_f32(struct htp_rope_context * rctx, uint8_t * restrict dst, uint8_t * restrict src,
+                   uint32_t nr, uint32_t ne0, const float * restrict theta_cache) {
+    #pragma unroll(4)
+    for (uint32_t i = 0; i < nr; i++) {
+        float * d = (float *) (dst + i * rctx->dst_row_size_aligned);
+        float * s = (float *) (src + i * rctx->src0_row_size_aligned);
+
+        hvx_rope_f32_aa(d, s, rctx->n_dims, theta_cache);
+
+        // fill the remain channels with data from src tensor
+        if (rctx->n_dims < ne0) {
+            hvx_copy_f32_uu((uint8_t *)(d + rctx->n_dims), (uint8_t *)(s + rctx->n_dims), ne0 - rctx->n_dims);
+        }
+    }
+}
+
+static void inline rope_neox_f32(struct htp_rope_context * rctx, uint8_t * restrict dst, uint8_t * restrict src,
+                   uint32_t nr, uint32_t ne0, const float * restrict theta_cache) {
+    #pragma unroll(4)
+    for (uint32_t i = 0; i < nr; i++) {
+        float * d = (float *) (dst + i * rctx->dst_row_size_aligned);
+        float * s = (float *) (src + i * rctx->src0_row_size_aligned);
 
-        src0_curr += 2 * VLEN;
-        theta_curr += 2 * VLEN;
-        dst_curr += 2 * VLEN;
+        hvx_rope_neox_f32_aa(d, s, rctx->n_dims, theta_cache);
+
+        // fill the remain channels with data from src tensor
+        if (rctx->n_dims < ne0) {
+            hvx_copy_f32_uu((uint8_t *)(d + rctx->n_dims), (uint8_t *)(s + rctx->n_dims), ne0 - rctx->n_dims);
+        }
     }
 }
 
-static void rope_hex_f32(struct rope_th_ctx * rope_ctx,
-                         const uint32_t       ir0,
-                         const uint32_t       ir1,
-                         int                  nth,
-                         int                  ith,
-                         const int            opt_path) {
-    struct htp_ops_context * octx = rope_ctx->octx;
+static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_rope_context * rctx = (struct htp_rope_context *) data;
+    struct htp_ops_context * octx = rctx->octx;
 
     const struct htp_tensor * src0 = &octx->src0;
     const struct htp_tensor * src1 = &octx->src1;
     const struct htp_tensor * src2 = &octx->src2;
     struct htp_tensor *       dst  = &octx->dst;
 
-    const int32_t mode    = rope_ctx->mode;
-    const bool    is_neox = mode & HTP_ROPE_TYPE_NEOX;
-
     htp_rope_preamble;
 
-    const int32_t * pos = (const int32_t *) src1->data;
+    const uint32_t src0_nrows = rctx->src0_nrows;
+    const uint32_t src0_nrows_per_thread = rctx->src0_nrows_per_thread;
 
-    float * wp0 = (float *) (octx->src0_spad.data + (ith * nb01));
+    const uint32_t src0_start_row = src0_nrows_per_thread * ith;
+    const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
 
-    const float * freq_factors = NULL;
-    if (src2 != NULL) {
-        freq_factors = (const float *) src2->data;
+    // no work for this thread
+    if (src0_start_row >= src0_end_row) {
+        return;
     }
 
-    const uint32_t i1_end       = MIN(ir1, ne1);
-    const int32_t  half_dims    = rope_ctx->n_dims / 2;
-    const size_t   remain_bytes = (ne0 - rope_ctx->n_dims) * sizeof(float);
-    for (uint32_t i3 = 0; i3 < ne3; i3++) {      // batch
-        for (uint32_t i2 = 0; i2 < ne2; i2++) {  // seq-len
-            const int32_t p = pos[i2];
+    uint64_t tt = HAP_perf_get_qtimer_count();
 
-            rope_cache_init(p, rope_ctx->freq_scale, freq_factors, rope_ctx->corr_dims, ne0, rope_ctx->ext_factor,
-                            rope_ctx->attn_factor, wp0, rope_ctx->theta_scale);
+    const int32_t mode    = rctx->mode;
+    const bool    is_neox = mode & HTP_ROPE_TYPE_NEOX;
 
-            for (uint32_t i1 = ir0; i1 < i1_end; i1++) {  // attn-heads
-                const float * src      = (float *) ((char *) src0->data + i3 * nb03 + i2 * nb02 + i1 * nb01);
-                float *       dst_data = (float *) ((char *) dst->data + i3 * nb3 + i2 * nb2 + i1 * nb1);
+    // VTCM setup
+    uint8_t * src0_spad_base = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
+    float *   theta_cache    = (float *) (src0_spad_base);
+              src0_spad_base = src0_spad_base + rctx->theta_cache_offset;
+    uint8_t * dst_spad_base  = octx->dst_spad.data + (ith * octx->dst_spad.size_per_thread);
 
-                const float * src_loc      = src;
-                float *       dst_data_loc = dst_data;
+    dma_queue * dma_queue = octx->ctx->dma[ith];
+    const int32_t * pos = (const int32_t *) src1->data;
+    const float * freq_factors = src2->data ? (const float *) src2->data : NULL;
 
-                if (1 == opt_path) {
-                    if (is_neox) {
-                        hvx_calc_rope_neox_f32(src_loc, dst_data_loc, rope_ctx->n_dims, wp0);
-                    } else {
-                        hvx_calc_rope_f32(src_loc, dst_data_loc, rope_ctx->n_dims, wp0);
-                    }
+    uint32_t ir = 0;
+    uint32_t prev_i2 = (uint32_t) -1;
 
-                    src_loc += rope_ctx->n_dims;
-                    dst_data_loc += rope_ctx->n_dims;
-                } else {
-                    for (uint32_t i0 = 0; i0 < rope_ctx->n_dims; i0 += 2) {
-                        const float cos_theta = wp0[i0 + 0];
-                        const float sin_theta = wp0[i0 + 1];
+    for (uint32_t i3 = 0; i3 < ne3; i3++) { // batch
+        for (uint32_t i2 = 0; i2 < ne2; i2++) { // seq-len
+            for (uint32_t i1 = 0; i1 < ne1; ) { // attn-heads
+                if (ir < src0_start_row) { ir++; i1++; continue; }
+                if (ir >= src0_end_row) goto done;
 
-                        if (is_neox) {
-                            const float x0 = src_loc[0];
-                            const float x1 = src_loc[half_dims];
+                // Rows in this block
+                const uint32_t nrows = MIN(src0_end_row - ir, ne1 - i1);
 
-                            dst_data_loc[0]         = x0 * cos_theta - x1 * sin_theta;
-                            dst_data_loc[half_dims] = x0 * sin_theta + x1 * cos_theta;
+                // Depth before prefetch
+                uint32_t dma_depth = dma_queue_depth(dma_queue);
 
-                            src_loc += 1;
-                            dst_data_loc += 1;
-                        } else {
-                            const float x0 = src_loc[0];
-                            const float x1 = src_loc[1];
+                // FARF(HIGH, "rope-block %u: ir %u n-rows %u dma-depth %u : usec %u", ith, ir, nrows, dma_depth,
+                //             (unsigned) HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - rctx->t_start));
 
-                            dst_data_loc[0] = x0 * cos_theta - x1 * sin_theta;
-                            dst_data_loc[1] = x0 * sin_theta + x1 * cos_theta;
+                // Prefetch loop
+                for (uint32_t pnr = 0, pr = 0; pr < nrows && pr < HTP_ROPE_SPAD_NROWS; pr += pnr) {
+                    pnr = MIN(nrows - pr, HTP_ROPE_SPAD_BLOCK);
 
-                            src_loc += 2;
-                            dst_data_loc += 2;
-                        }
-                    }
+                    uint32_t pi1 = i1 + pr;
+                    uint32_t pir = ir + pr;
+
+                    // Dummy DMA transaction for sequencing (interleaving dst,src,dst,...)
+                    dma_queue_push_vtcm_to_ddr(dma_queue, dma_make_ptr((void *) dst->data, dst_spad_base + pr * rctx->dst_row_size_aligned), 0, 0, 0);
 
-                    src_loc += (is_neox ? half_dims : 0);
-                    dst_data_loc += (is_neox ? half_dims : 0);
+                    const uint8_t * src_addr = (const uint8_t *) src0->data + i3 * nb03 + i2 * nb02 + pi1 * nb01;
+                          uint8_t * src_spad = src0_spad_base + pr * rctx->src0_row_size_aligned;
+                    dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(src_spad, src_addr),
+                        rctx->src0_row_size_aligned, rctx->src0_row_size, pnr);
+
+                    // FARF(HIGH, "rope-prefetch %u: pr %u i1 %u i2 %u i3 %u src-spad %p src-addr %p pnr %u", ith, pir, pi1, i2, i3, src_spad, src_addr, pnr);
                 }
 
-                // TODO: use simd to speed up the remaining elements copy
-                memcpy(dst_data_loc, src_loc, remain_bytes);
-            }
-        }
-    }
-}
+                // Update theta cache
+                if (i2 != prev_i2) {
+                    prev_i2 = i2;
 
-static void rope_job_f32_per_thread(struct rope_th_ctx * rope_ctx, int nth, int ith) {
-    struct htp_ops_context * octx = rope_ctx->octx;
+                    const int32_t p = pos[i2];
+                    rope_cache_init(p, rctx->freq_scale, freq_factors, rctx->corr_dims, ne0, rctx->ext_factor, rctx->attn_factor, theta_cache, rctx->theta_scale);
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+                    // FARF(HIGH, "rope-theta %u: ir %u i1 %u i2 %u i3 %u cache %p : usec %u", ith, ir, i1, i2, i3, theta_cache,
+                    //         (unsigned) HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - rctx->t_start));
+                }
 
-    htp_rope_preamble;
+                // Skip DMA transactions from prev block (if any)
+                // No need to wait for these since the DMA is setup for in-order processing
+                for (uint32_t d=0; d < dma_depth; d++) { dma_queue_pop_nowait(dma_queue); }
 
-    const uint32_t src0_nrows            = ne01 * ne02 * ne03;  // src0 rows
-    const uint32_t src0_nrows_per_thread = octx->src0_nrows_per_thread;
+                // Compute loop
+                for (uint32_t cnr = 0, cr = 0; cr < nrows; cr += cnr, ir += cnr, i1 += cnr) {
+                    // Number of rows to compute
+                    cnr = MIN(nrows - cr, HTP_ROPE_SPAD_BLOCK);
 
-    const uint32_t src0_start_row = src0_nrows_per_thread * ith;
-    const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
+                    uint8_t * dst_spad = (uint8_t *) dma_queue_pop(dma_queue).src;
+                    uint8_t * src_spad = (uint8_t *) dma_queue_pop(dma_queue).dst;
 
-    // no work for this thread
-    if (src0_start_row >= src0_end_row) {
-        return;
-    }
+                    // FARF(HIGH, "rope-compute %u: ir %u i1 %u i2 %u i3 %u src-spad %p cnr %u : usec %u", ith, ir, i1, i2, i3, src_spad, cnr,
+                    //         (unsigned) HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - rctx->t_start));
 
-    uint64_t t1, t2;
-    t1 = HAP_perf_get_qtimer_count();
+                    if (is_neox) {
+                        rope_neox_f32(rctx, dst_spad, src_spad, cnr, ne0, theta_cache);
+                    } else {
+                        rope_basic_f32(rctx, dst_spad, src_spad, cnr, ne0, theta_cache);
+                    }
 
-    int is_aligned = 1;
-    int opt_path   = 0;
-    if ((0 == hex_is_aligned((void *) src0->data, VLEN)) || (0 == hex_is_aligned((void *) src1->data, VLEN)) ||
-        (0 == hex_is_aligned((void *) dst->data, VLEN))) {
-        FARF(HIGH, "rope-f32: unaligned addresses in rope op, possibly slower execution\n");
-        is_aligned = 0;
-    }
-    if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) {
-        opt_path = 1;
-    }
+                    uint8_t * dst_addr = (uint8_t *) dst->data + i3 * nb3 + i2 * nb2 + i1 * nb1;
+                    dma_queue_push_vtcm_to_ddr(dma_queue, dma_make_ptr(dst_addr, dst_spad), rctx->dst_row_size, rctx->dst_row_size_aligned, cnr);
 
-    rope_hex_f32(rope_ctx, src0_start_row, src0_end_row, nth, ith, opt_path);
+                    // Prefetch more rows (if any)
+                    if ((cr + HTP_ROPE_SPAD_NROWS) < nrows) {
+                        uint32_t pnr = MIN(nrows - (cr + HTP_ROPE_SPAD_NROWS), HTP_ROPE_SPAD_BLOCK);
+                        uint32_t pi1 = i1 + HTP_ROPE_SPAD_NROWS;
+                        uint32_t pir = ir + HTP_ROPE_SPAD_NROWS;
 
-    t2 = HAP_perf_get_qtimer_count();
+                        const uint8_t * src_addr = (const uint8_t *) src0->data + i3 * nb03 + i2 * nb02 + pi1 * nb01;
+                        dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(src_spad, src_addr),
+                            rctx->src0_row_size_aligned, rctx->src0_row_size, pnr);
 
-    FARF(HIGH, "rope-f32: %d/%d/%d: (%u:%u) usec %u\n", ith, nth, opt_path, src0_start_row, src0_end_row,
-         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
-}
+                        // FARF(HIGH, "rope-prefetch %u: pr %u i1 %u i2 %u i3 %u src-spad %p src-addr %p pnr %u", ith, pir, pi1, i2, i3, src_spad, src_addr, pnr);
+                    }
+                }
+            }
+        }
+    }
 
-static void rope_job_dispatcher_f32(unsigned int n, unsigned int i, void * data) {
-    struct rope_th_ctx * rope_ctx = (struct rope_th_ctx *) data;
+done:
+    dma_queue_flush(dma_queue);
+    tt = HAP_perf_get_qtimer_count() - tt;
 
-    rope_job_f32_per_thread(rope_ctx, n, i);
+    FARF(HIGH, "rope-f32: %d/%d: (%u:%u) usec %u\n", ith, nth, src0_start_row, src0_end_row, (unsigned) HAP_perf_qtimer_count_to_us(tt));
 }
 
 static int execute_op_rope_f32(struct htp_ops_context * octx) {
@@ -394,17 +389,10 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
     const struct htp_tensor * src2 = &octx->src2;
     struct htp_tensor *       dst  = &octx->dst;
 
-    worker_callback_t op_func;
-    const char *      op_type = NULL;
-
-    struct rope_th_ctx rope_ctx;
+    const char * op_type = "rope-f32";
 
     switch (octx->op) {
         case HTP_OP_ROPE:
-            op_func = rope_job_dispatcher_f32;
-            op_type = "rope-f32";
-
-            init_rope_ctx(&rope_ctx, octx);
             break;
 
         default:
@@ -412,52 +400,81 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
             return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t n_threads = octx->n_threads;
+    const uint32_t ne0 = dst->ne[0];
+    const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads = MIN(octx->n_threads, src0_nrows);
 
     const size_t src0_row_size = src0->nb[1];
-    const size_t src1_row_size = src0_row_size;
     const size_t dst_row_size  = dst->nb[1];
 
-    // VTCM scratchpads for all tensors
-    // N rows per thread, padded to HVX vector size
-    octx->dst_spad.size  = hex_round_up(dst_row_size, 128) * n_threads;
-    octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads;
-    octx->src1_spad.size = hex_round_up(src1_row_size, 128) * n_threads;
-
-    size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
-
-    if (src2->ne[0]) {
-        FARF(HIGH,
-             "%s: %ux%ux%ux%u (x %ux%ux%ux%u x %ux%ux%ux%u) -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u "
-             "dst-spad-size %u\n",
-             op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
-             src1->ne[3], src2->ne[0], src2->ne[1], src2->ne[2], src2->ne[3], dst->ne[0], dst->ne[1], dst->ne[2],
-             dst->ne[3], octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size);
-    } else {
-        FARF(HIGH,
-             "%s: %ux%ux%ux%u (%ux%ux%ux%u) -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
-             op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
-             src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size,
-             octx->dst_spad.size);
-    }
+    // Aligned row sizes for VTCM
+    const size_t src0_row_size_aligned    = hex_round_up(src0_row_size, VLEN);
+    const size_t dst_row_size_aligned     = hex_round_up(dst_row_size, VLEN);
+    const size_t theta_cache_size_aligned = hex_round_up(src0->ne[0] * sizeof(float), 128);
+
+    // Calculate spad sizes per thread
+    size_t src0_spad_per_thread = theta_cache_size_aligned + HTP_ROPE_SPAD_NROWS * src0_row_size_aligned;
+    size_t dst_spad_per_thread  = HTP_ROPE_SPAD_NROWS * dst_row_size_aligned;
+    size_t spad_per_thread = src0_spad_per_thread + dst_spad_per_thread;
 
-    // Make sure the reserved vtcm size is sufficient
-    if (octx->ctx->vtcm_size < spad_size) {
-        FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size,
-             spad_size);
+    // Check if we fit in VTCM
+    size_t total_vtcm_needed = spad_per_thread * n_threads;
+    if (octx->ctx->vtcm_size < total_vtcm_needed) {
+        FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size, total_vtcm_needed);
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
+    // Assign sizes
+    octx->src0_spad.size_per_thread = src0_spad_per_thread;
+    octx->dst_spad.size_per_thread  = dst_spad_per_thread;
+    octx->src0_spad.size = n_threads * src0_spad_per_thread;
+    octx->dst_spad.size  = n_threads * dst_spad_per_thread;
+    octx->src1_spad.size = 0;
+
+    // Assign pointers
     octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src1_spad.data = NULL;
+    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size;
+
+    // Fill context
+    struct htp_rope_context rctx;
+    memset(&rctx, 0, sizeof(struct htp_rope_context));
+
+    rctx.t_start = HAP_perf_get_qtimer_count();
+
+    rctx.octx = octx;
+
+    const int32_t * op_params = &octx->op_params[0];
+    rctx.n_dims     = ((const int32_t *) op_params)[1];
+    rctx.mode       = ((const int32_t *) op_params)[2];
+    rctx.n_ctx_orig = ((const int32_t *) op_params)[4];
+
+    memcpy(&rctx.freq_base,   (int32_t *) op_params + 5,  sizeof(float));
+    memcpy(&rctx.freq_scale,  (int32_t *) op_params + 6,  sizeof(float));
+    memcpy(&rctx.ext_factor,  (int32_t *) op_params + 7,  sizeof(float));
+    memcpy(&rctx.attn_factor, (int32_t *) op_params + 8,  sizeof(float));
+    memcpy(&rctx.beta_fast,   (int32_t *) op_params + 9,  sizeof(float));
+    memcpy(&rctx.beta_slow,   (int32_t *) op_params + 10, sizeof(float));
+    memcpy(&rctx.sections,    (int32_t *) op_params + 11, sizeof(int) * 4);
+
+    rctx.theta_scale = powf(rctx.freq_base, -2.0f / rctx.n_dims);
+
+    rope_corr_dims(rctx.n_dims, rctx.n_ctx_orig, rctx.freq_base, rctx.beta_fast, rctx.beta_slow, rctx.corr_dims);
+
+    rctx.src0_row_size = src0_row_size;
+    rctx.dst_row_size  = dst_row_size;
+    rctx.src0_row_size_aligned = src0_row_size_aligned;
+    rctx.dst_row_size_aligned  = dst_row_size_aligned;
+    rctx.theta_cache_offset    = theta_cache_size_aligned;
+
+    rctx.src0_nrows = src0_nrows;
+    rctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
 
-    uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    FARF(HIGH, "rope-f32 n-rows %u n-dims %d ne0 %u ext-factor %.6f theta-scale %.6f attn-factor %.6f\n", rctx.src0_nrows, rctx.n_dims, ne0,
+         rctx.ext_factor, rctx.theta_scale, rctx.attn_factor);
 
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        uint32_t n_jobs             = MIN(n_threads, src0_nrows);
-        octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
-        worker_pool_run_func(octx->ctx->worker_pool, op_func, &rope_ctx, n_jobs);
+        worker_pool_run_func(octx->ctx->worker_pool, rope_job_f32, &rctx, n_threads);
     }
 
     return err;
diff --git a/ggml/src/ggml-hexagon/htp/set-rows-ops.c b/ggml/src/ggml-hexagon/htp/set-rows-ops.c
index 904484da9de..4b6967749f8 100644
--- a/ggml/src/ggml-hexagon/htp/set-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/set-rows-ops.c
@@ -43,11 +43,21 @@
                                             \
     const uint32_t nr  = ne01;
 
-static int set_rows_thread_f32_f32(struct htp_ops_context * octx, const int nth, const int ith) {
+struct htp_set_rows_context {
+    struct htp_ops_context * octx;
+    struct fastdiv_values div_ne12;
+    struct fastdiv_values div_ne11;
+    uint32_t src0_nrows_per_thread;
+};
+
+static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) {
+    struct htp_set_rows_context * srctx = (struct htp_set_rows_context *)data;
+    struct htp_ops_context * octx = srctx->octx;
+
     set_rows_preamble;
 
     // parallelize by rows of src0
-    const uint32_t dr  = octx->src0_nrows_per_thread;
+    const uint32_t dr  = srctx->src0_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
@@ -56,8 +66,8 @@ static int set_rows_thread_f32_f32(struct htp_ops_context * octx, const int nth,
     for (uint32_t i03 = 0; i03 < ne03; ++i03) {
         for (uint32_t i02 = 0; i02 < ne02; ++i02) {
             for (uint32_t i = ir0; i < ir1; ++i) {
-                const uint32_t i12 = fastmodulo(i03, ne12, &octx->set_rows_div_ne12);
-                const uint32_t i11 = fastmodulo(i02, ne11, &octx->set_rows_div_ne11);
+                const uint32_t i12 = fastmodulo(i03, ne12, &srctx->div_ne12);
+                const uint32_t i11 = fastmodulo(i02, ne11, &srctx->div_ne11);
                 const uint32_t i10 = i;
 
                 const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
@@ -76,15 +86,16 @@ static int set_rows_thread_f32_f32(struct htp_ops_context * octx, const int nth,
             }
         }
     }
-
-    return HTP_STATUS_OK;
 }
 
-static int set_rows_thread_f16_f32(struct htp_ops_context * octx, const int nth, const int ith) {
+static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *data) {
+    struct htp_set_rows_context * srctx = (struct htp_set_rows_context *)data;
+    struct htp_ops_context * octx = srctx->octx;
+
     set_rows_preamble;
 
     // parallelize by rows of src0
-    const uint32_t dr  = octx->src0_nrows_per_thread;
+    const uint32_t dr  = srctx->src0_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
@@ -93,8 +104,8 @@ static int set_rows_thread_f16_f32(struct htp_ops_context * octx, const int nth,
     for (uint32_t i03 = 0; i03 < ne03; ++i03) {
         for (uint32_t i02 = 0; i02 < ne02; ++i02) {
             for (uint32_t i = ir0; i < ir1; ++i) {
-                const uint32_t i12 = fastmodulo(i03, ne12, &octx->set_rows_div_ne12);
-                const uint32_t i11 = fastmodulo(i02, ne11, &octx->set_rows_div_ne11);
+                const uint32_t i12 = fastmodulo(i03, ne12, &srctx->div_ne12);
+                const uint32_t i11 = fastmodulo(i02, ne11, &srctx->div_ne11);
                 const uint32_t i10 = i;
 
                 const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
@@ -112,21 +123,13 @@ static int set_rows_thread_f16_f32(struct htp_ops_context * octx, const int nth,
             }
         }
     }
-
-    return HTP_STATUS_OK;
-}
-
-static void set_rows_work_f16_f32(unsigned int n, unsigned int i, void *data) {
-    set_rows_thread_f16_f32((struct htp_ops_context *) data, n, i);
-}
-
-static void set_rows_work_f32_f32(unsigned int n, unsigned int i, void *data) {
-    set_rows_thread_f32_f32((struct htp_ops_context *) data, n, i);
 }
 
 int op_set_rows(struct htp_ops_context * octx) {
     set_rows_preamble;
 
+    const uint32_t n_threads = MIN(nr, octx->n_threads);
+
     if (octx->src0.type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
@@ -143,18 +146,19 @@ int op_set_rows(struct htp_ops_context * octx) {
         return HTP_STATUS_OK;
     }
 
-    octx->set_rows_div_ne12 = init_fastdiv_values(ne12);
-    octx->set_rows_div_ne11 = init_fastdiv_values(ne11);
+    struct htp_set_rows_context srctx;
+    srctx.octx = octx;
+    srctx.div_ne12 = init_fastdiv_values(ne12);
+    srctx.div_ne11 = init_fastdiv_values(ne11);
 
-    const uint32_t n_jobs = MIN(nr, octx->n_threads);
-    octx->src0_nrows_per_thread = (nr + n_jobs - 1) / n_jobs;
+    srctx.src0_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
     switch(octx->dst.type) {
     case HTP_TYPE_F32:
-        worker_pool_run_func(octx->ctx->worker_pool, set_rows_work_f32_f32, octx, n_jobs);
+        worker_pool_run_func(octx->ctx->worker_pool, set_rows_thread_f32_f32, &srctx, n_threads);
         break;
     case HTP_TYPE_F16:
-        worker_pool_run_func(octx->ctx->worker_pool, set_rows_work_f16_f32, octx, n_jobs);
+        worker_pool_run_func(octx->ctx->worker_pool, set_rows_thread_f16_f32, &srctx, n_threads);
         break;
     default:
         return HTP_STATUS_NO_SUPPORT;
diff --git a/ggml/src/ggml-hexagon/htp/softmax-ops.c b/ggml/src/ggml-hexagon/htp/softmax-ops.c
index e91a16d947f..8dae7f1ed55 100644
--- a/ggml/src/ggml-hexagon/htp/softmax-ops.c
+++ b/ggml/src/ggml-hexagon/htp/softmax-ops.c
@@ -10,6 +10,7 @@
 
 #include "hex-dma.h"
 #include "hvx-utils.h"
+#include "hex-fastdiv.h"
 
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
@@ -48,7 +49,7 @@
     const uint32_t nb2 = dst->nb[2];                       \
     const uint32_t nb3 = dst->nb[3];
 
-struct softmax_th_ctx {
+struct htp_softmax_context {
     bool     use_f16;
     bool     use_src1;
     uint32_t n_head;
@@ -59,28 +60,48 @@ struct softmax_th_ctx {
     float m0;
     float m1;
 
+    uint32_t src0_nrows_per_thread;
+    struct fastdiv_values fastdiv_ne01;
+    struct fastdiv_values fastdiv_ne02;
+    struct fastdiv_values fastdiv_ne12; // For mask broadcasting
+    struct fastdiv_values fastdiv_ne13; // For mask broadcasting
+    size_t spad_stride;
+
     struct htp_ops_context * octx;
 };
 
-static void init_softmax_ctx(struct softmax_th_ctx * softmax_ctx, struct htp_ops_context * octx) {
+static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_context * octx) {
     const struct htp_tensor * src0 = &octx->src0;
     const struct htp_tensor * src1 = &octx->src1;
 
-    memset(softmax_ctx, 0, sizeof(struct softmax_th_ctx));
+    memset(smctx, 0, sizeof(struct htp_softmax_context));
+
+    memcpy(&smctx->scale, (float *) octx->op_params, sizeof(float));
+    memcpy(&smctx->max_bias, (float *) octx->op_params + 1, sizeof(float));
+
+    smctx->n_head      = src0->ne[2];
+    smctx->n_head_log2 = 1u << (uint32_t) floor(log2(smctx->n_head));
+
+    smctx->m0 = powf(2.0f, -(smctx->max_bias) / smctx->n_head_log2);
+    smctx->m1 = powf(2.0f, -(smctx->max_bias / 2.0f) / smctx->n_head_log2);
 
-    memcpy(&softmax_ctx->scale, (float *) octx->op_params, sizeof(float));
-    memcpy(&softmax_ctx->max_bias, (float *) octx->op_params + 1, sizeof(float));
+    smctx->use_src1 = (src1->ne[0] != 0);
+    smctx->use_f16  = (src1->ne[0] != 0) && (src1->type == HTP_TYPE_F16);
 
-    softmax_ctx->n_head      = src0->ne[2];
-    softmax_ctx->n_head_log2 = 1u << (uint32_t) floor(log2(softmax_ctx->n_head));
+    smctx->octx = octx;
 
-    softmax_ctx->m0 = powf(2.0f, -(softmax_ctx->max_bias) / softmax_ctx->n_head_log2);
-    softmax_ctx->m1 = powf(2.0f, -(softmax_ctx->max_bias / 2.0f) / softmax_ctx->n_head_log2);
+    // Initialize fastdiv values
+    const uint32_t ne01 = src0->ne[1];
+    const uint32_t ne02 = src0->ne[2];
 
-    softmax_ctx->use_src1 = (src1->ne[0] != 0);
-    softmax_ctx->use_f16  = (src1->ne[0] != 0) && (src1->type == HTP_TYPE_F16);
+    if (ne01 > 0) smctx->fastdiv_ne01 = init_fastdiv_values(ne01);
+    if (ne02 > 0) smctx->fastdiv_ne02 = init_fastdiv_values(ne02);
 
-    softmax_ctx->octx = octx;
+    const uint32_t ne12 = (src1->ne[0]) ? src1->ne[2] : 1;
+    const uint32_t ne13 = (src1->ne[0]) ? src1->ne[3] : 1;
+
+    if (ne12 > 0) smctx->fastdiv_ne12 = init_fastdiv_values(ne12);
+    if (ne13 > 0) smctx->fastdiv_ne13 = init_fastdiv_values(ne13);
 }
 
 static void hvx_fast_softmax_prep_f32(const uint8_t * restrict src,
@@ -139,8 +160,7 @@ static void hvx_fast_softmax_f32(const uint8_t * restrict src,
         max_vec       = Q6_Vsf_vmax_VsfVsf(max_vec, v1);
     }
 
-    HVX_Vector v = hvx_vec_reduce_max_f32(max_vec);
-    max_vec      = hvx_vec_repl4(v);
+    max_vec = hvx_vec_reduce_max_f32(max_vec); // replicated over all lanes
 
     #pragma unroll(4)
     for (int i = 0; i < step_of_1; i++) {
@@ -154,8 +174,7 @@ static void hvx_fast_softmax_f32(const uint8_t * restrict src,
         v_pad[i] = v3;
     }
 
-    v       = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_vec));
-    sum_vec = hvx_vec_repl4(v);
+    sum_vec = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_vec)); // replicated over all lanes
 
     HVX_VectorPred pos_sum   = Q6_Q_vcmp_gt_VwVw(sum_vec, zero_v);
     HVX_Vector     v4        = hvx_vec_inverse_f32(sum_vec);
@@ -183,83 +202,9 @@ static float hvx_softmax_f32(const uint8_t * restrict src,
     return sum;
 }
 
-static void softmax_htp_f32(int nth, int ith, struct softmax_th_ctx * softmax_ctx, int opt_path) {
-    struct htp_ops_context * octx = softmax_ctx->octx;
-
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * dst  = &octx->dst;
-
-    htp_softmax_preamble3;
-
-    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * nb01);
-    uint8_t * src1_spad_data = octx->src1_spad.data + (ith * nb01);
-    uint8_t * dst_spad_data  = octx->dst_spad.data + (ith * nb1);
-
-    float * wp0 = (float *) src0_spad_data;
-    float * wp1 = (float *) src1_spad_data;
-    float * wp2 = (float *) dst_spad_data;
-
-    for (uint32_t i03 = 0; i03 < ne03; i03++) {
-        for (uint32_t i02 = 0; i02 < ne02; i02++) {
-            for (uint32_t i01 = ith; i01 < ne01; i01 += nth) {
-                const uint32_t i11 = i01;
-                const uint32_t i12 = i02 % ne12;
-                const uint32_t i13 = i03 % ne13;
-
-                // ALiBi
-                const uint32_t h = i02;  // head
-
-                const float slope = (softmax_ctx->max_bias > 0.0f) ?
-                                        h < softmax_ctx->n_head_log2 ?
-                                        powf(softmax_ctx->m0, h + 1) :
-                                        powf(softmax_ctx->m1, 2 * (h - softmax_ctx->n_head_log2) + 1) :
-                                        1.0f;
-
-                float * sp = (float *) ((char *) octx->src0.data + i01 * nb01 + i02 * nb02 + i03 * nb03);
-                float * dp = (float *) ((char *) octx->dst.data + i01 * nb1 + i02 * nb2 + i03 * nb3);
-
-                // broadcast the mask across rows
-                __fp16 * mp_f16 = (softmax_ctx->use_src1) ?
-                                      (__fp16 *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
-                                      NULL;
-                float *  mp_f32 = (softmax_ctx->use_src1) ?
-                                      (float *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
-                                      NULL;
-
-                if ((1 == opt_path) && (mp_f32) && !(softmax_ctx->use_f16)) {
-                    hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, softmax_ctx->scale,
-                                              (const uint8_t *) mp_f32, slope);
-                } else {
-                    hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, softmax_ctx->scale);
-                    if (mp_f32) {
-                        if (softmax_ctx->use_f16) {
-                            for (int i = 0; i < ne00; ++i) {
-                                wp0[i] += slope * (float) mp_f16[i];
-                            }
-                        } else {
-                            for (int i = 0; i < ne00; ++i) {
-                                wp0[i] += slope * mp_f32[i];
-                            }
-                        }
-                    }
-                }
-
-                if (1 == opt_path) {
-                    hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
-                } else {
-                    float max = hvx_reduce_max_f32((const uint8_t *) wp0, ne00);
-                    float sum = hvx_softmax_f32((const uint8_t *) wp0, (uint8_t *) wp2, (uint8_t *) wp1, ne00, max);
-                    sum       = sum > 0.0 ? (1.0 / sum) : 1;
-                    hvx_scale_f32((uint8_t *) dp, (const uint8_t *) wp2, ne00, sum);
-                }
-            }
-        }
-    }
-}
-
-static void softmax_job_f32_per_thread(struct softmax_th_ctx * softmax_ctx, int nth, int ith) {
-    struct htp_ops_context * octx = softmax_ctx->octx;
+static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_softmax_context * smctx = (struct htp_softmax_context *) data;
+    struct htp_ops_context * octx = smctx->octx;
 
     const struct htp_tensor * src0 = &octx->src0;
     const struct htp_tensor * src1 = &octx->src1;
@@ -268,7 +213,7 @@ static void softmax_job_f32_per_thread(struct softmax_th_ctx * softmax_ctx, int
     htp_softmax_preamble3;
 
     const uint32_t src0_nrows            = ne01 * ne02 * ne03;  // src0 rows
-    const uint32_t src0_nrows_per_thread = octx->src0_nrows_per_thread;
+    const uint32_t src0_nrows_per_thread = smctx->src0_nrows_per_thread;
 
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
@@ -291,20 +236,103 @@ static void softmax_job_f32_per_thread(struct softmax_th_ctx * softmax_ctx, int
         opt_path = 1;
     }
 
-    softmax_htp_f32(nth, ith, softmax_ctx, opt_path);
+    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * smctx->spad_stride);
+    uint8_t * src1_spad_data = octx->src1_spad.data + (ith * smctx->spad_stride);
+    uint8_t * dst_spad_data  = octx->dst_spad.data + (ith * smctx->spad_stride);
+
+    float * wp0 = (float *) src0_spad_data;
+    float * wp1 = (float *) src1_spad_data;
+    float * wp2 = (float *) dst_spad_data;
+
+    uint32_t prev_i2 = (uint32_t)-1;
+    float slope = 1.0f;
+
+    for (uint32_t r = src0_start_row; r < src0_end_row; ++r) {
+        uint32_t i1 = fastmodulo(r, ne01, &smctx->fastdiv_ne01);
+        uint32_t r_div_ne01 = fastdiv(r, &smctx->fastdiv_ne01);
+        uint32_t i2 = fastmodulo(r_div_ne01, ne02, &smctx->fastdiv_ne02);
+        uint32_t i3 = fastdiv(r_div_ne01, &smctx->fastdiv_ne02);
+
+        // Map to original logic indices
+        // i01 = i1
+        // i02 = i2
+        // i03 = i3
+
+        const uint32_t i11 = i1;
+        // const uint32_t i12 = i2 % ne12;
+        // const uint32_t i13 = i3 % ne13;
+
+        uint32_t i12, i13;
+        if (ne12 == ne02) {
+             i12 = i2;
+        } else {
+             i12 = fastmodulo(i2, ne12, &smctx->fastdiv_ne12);
+        }
+
+        if (ne13 == ne03) {
+             i13 = i3;
+        } else {
+             i13 = fastmodulo(i3, ne13, &smctx->fastdiv_ne13);
+        }
+
+        // ALiBi
+        if (i2 != prev_i2) {
+            const uint32_t h = i2;  // head
+
+            slope = (smctx->max_bias > 0.0f) ?
+                        h < smctx->n_head_log2 ?
+                        powf(smctx->m0, h + 1) :
+                        powf(smctx->m1, 2 * (h - smctx->n_head_log2) + 1) :
+                        1.0f;
+            prev_i2 = i2;
+        }
+
+        float * sp = (float *) ((char *) octx->src0.data + i1 * nb01 + i2 * nb02 + i3 * nb03);
+        float * dp = (float *) ((char *) octx->dst.data + i1 * nb1 + i2 * nb2 + i3 * nb3);
+
+        // broadcast the mask across rows
+        __fp16 * mp_f16 = (smctx->use_src1) ?
+                              (__fp16 *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
+                              NULL;
+        float *  mp_f32 = (smctx->use_src1) ?
+                              (float *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
+                              NULL;
+
+        if ((1 == opt_path) && (mp_f32) && !(smctx->use_f16)) {
+            hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, smctx->scale,
+                                      (const uint8_t *) mp_f32, slope);
+        } else {
+            hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
+            if (mp_f32) {
+                if (smctx->use_f16) {
+                    for (int i = 0; i < ne00; ++i) {
+                        wp0[i] += slope * (float) mp_f16[i];
+                    }
+                } else {
+                    for (int i = 0; i < ne00; ++i) {
+                        wp0[i] += slope * mp_f32[i];
+                    }
+                }
+            }
+        }
+
+        if (1 == opt_path) {
+            hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
+        } else {
+            float max = hvx_reduce_max_f32((const uint8_t *) wp0, ne00);
+            float sum = hvx_softmax_f32((const uint8_t *) wp0, (uint8_t *) wp2, (uint8_t *) wp1, ne00, max);
+            sum       = sum > 0.0 ? (1.0 / sum) : 1;
+            hvx_scale_f32((uint8_t *) dp, (const uint8_t *) wp2, ne00, sum);
+        }
+    }
 
     t2 = HAP_perf_get_qtimer_count();
 
     FARF(HIGH, "softmax-f32 %d/%d/%d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
-         softmax_ctx->use_f16, opt_path, ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
+         smctx->use_f16, opt_path, ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
          ne0, ne1, ne2, ne3, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void softmax_job_dispatcher_f32(unsigned int n, unsigned int i, void * p_data) {
-    struct softmax_th_ctx * p_softmax_ctx = (struct softmax_th_ctx *) p_data;
-    softmax_job_f32_per_thread(p_softmax_ctx, n, i);
-}
-
 static int execute_op_softmax_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
@@ -312,17 +340,12 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
     const struct htp_tensor * src1 = &octx->src1;
     struct htp_tensor *       dst  = &octx->dst;
 
-    worker_callback_t op_func;
-    const char *      op_type = NULL;
-
-    struct softmax_th_ctx softmax_ctx;
+    struct htp_softmax_context smctx;
+    const char * op_type = "softmax-f32";
 
     switch (octx->op) {
         case HTP_OP_SOFTMAX:
-            op_func = softmax_job_dispatcher_f32;
-            op_type = "softmax-f32";
-
-            init_softmax_ctx(&softmax_ctx, octx);
+            init_softmax_ctx(&smctx, octx);
             break;
 
         default:
@@ -330,7 +353,8 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
             return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t n_threads = octx->n_threads;
+    const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     const size_t src0_row_size = src0->nb[1];
     const size_t src1_row_size = src0_row_size;
@@ -342,6 +366,9 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
     octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads;
     octx->src1_spad.size = hex_round_up(src1_row_size, 128) * n_threads;
 
+    // Use stride for calculating offset
+    smctx.spad_stride = hex_round_up(src0_row_size, 128);
+
     size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
 
     if (src1->ne[0]) {
@@ -367,12 +394,9 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
     octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
     octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
 
-    uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
-
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        uint32_t n_jobs             = MIN(n_threads, src0_nrows);
-        octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
-        worker_pool_run_func(octx->ctx->worker_pool, op_func, &softmax_ctx, n_jobs);
+        smctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
+        worker_pool_run_func(octx->ctx->worker_pool, softmax_job_f32, &smctx, n_threads);
     }
 
     return err;
diff --git a/ggml/src/ggml-hexagon/htp/ssm-conv.c b/ggml/src/ggml-hexagon/htp/ssm-conv.c
new file mode 100644
index 00000000000..b3c1ef9572e
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/ssm-conv.c
@@ -0,0 +1,339 @@
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <HAP_farf.h>
+#include <HAP_mem.h>
+#include <HAP_perf.h>
+#include <HAP_ps.h>
+#include <hexagon_protos.h>
+#include <hexagon_types.h>
+#include <math.h>
+#include <qurt_thread.h>
+#include <string.h>
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+#include "htp-ctx.h"
+#include "hex-dma.h"
+#include "htp-msg.h"
+#include "htp-ops.h"
+#include "hvx-utils.h"
+
+#define htp_ssm_conv_tensors_preamble                        \
+    struct htp_tensor * restrict src0    = &octx->src0;      \
+    struct htp_tensor * restrict src1    = &octx->src1;      \
+    struct htp_tensor * restrict dst     = &octx->dst;       \
+    struct htp_spad * restrict src0_spad = &octx->src0_spad; \
+    struct htp_spad * restrict src1_spad = &octx->src1_spad; \
+    struct htp_spad * restrict dst_spad  = &octx->dst_spad;  \
+                                                             \
+    const uint32_t ne00 = src0->ne[0];                       \
+    const uint32_t ne01 = src0->ne[1];                       \
+    const uint32_t ne02 = src0->ne[2];                       \
+    const uint32_t ne03 = src0->ne[3];                       \
+                                                             \
+    const uint32_t ne10 = src1->ne[0];                       \
+    const uint32_t ne11 = src1->ne[1];                       \
+    const uint32_t ne12 = src1->ne[2];                       \
+    const uint32_t ne13 = src1->ne[3];                       \
+                                                             \
+    const uint32_t ne0 = dst->ne[0];                         \
+    const uint32_t ne1 = dst->ne[1];                         \
+    const uint32_t ne2 = dst->ne[2];                         \
+    const uint32_t ne3 = dst->ne[3];                         \
+                                                             \
+    const uint32_t nb00 = src0->nb[0];                       \
+    const uint32_t nb01 = src0->nb[1];                       \
+    const uint32_t nb02 = src0->nb[2];                       \
+    const uint32_t nb03 = src0->nb[3];                       \
+                                                             \
+    const uint32_t nb10 = src1->nb[0];                       \
+    const uint32_t nb11 = src1->nb[1];                       \
+    const uint32_t nb12 = src1->nb[2];                       \
+    const uint32_t nb13 = src1->nb[3];                       \
+                                                             \
+    const uint32_t nb0 = dst->nb[0];                         \
+    const uint32_t nb1 = dst->nb[1];                         \
+    const uint32_t nb2 = dst->nb[2];                         \
+    const uint32_t nb3 = dst->nb[3];
+
+struct htp_ssm_conv_context {
+    struct htp_ops_context * octx;
+    uint32_t nrows_per_thread;
+    uint64_t t_start;
+};
+
+#define htp_ssm_conv_preamble                            \
+    struct htp_ssm_conv_context * scctx = (struct htp_ssm_conv_context *) data; \
+    struct htp_ops_context * octx = scctx->octx;         \
+    htp_ssm_conv_tensors_preamble;                       \
+    dma_queue * dma_queue         = octx->ctx->dma[ith];
+
+// Scalar FP32 SSM_CONV implementation
+static void ssm_conv_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) {
+    htp_ssm_conv_preamble;
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    const uint32_t d_conv  = src1->ne[0];
+    const uint32_t d_inner = src0->ne[1];
+    const uint32_t n_t     = dst->ne[1];
+    const uint32_t n_s     = dst->ne[2];
+
+    const uint32_t src0_stride_inner = src0->nb[1] / sizeof(float); // stride for inner dimension
+    const uint32_t src0_stride_seq   = src0->nb[2] / sizeof(float); // stride for sequence dimension
+    const uint32_t src1_stride_inner = src1->nb[1] / sizeof(float); // stride for inner dimension
+    const uint32_t dst_stride_token  = dst->nb[1]  / sizeof(float); // stride for token dimension
+    const uint32_t dst_stride_seq    = dst->nb[2]  / sizeof(float); // stride for sequence dimension
+
+    const float * src0_data = (const float *) src0->data;
+    const float * src1_data = (const float *) src1->data;
+    float *       dst_data  = (float *) dst->data;
+
+    // Calculate row range for this thread
+    const uint32_t d_inner_per_thread = scctx->nrows_per_thread;
+    const uint32_t d_inner_start = d_inner_per_thread * ith;
+    const uint32_t d_inner_end   = MIN(d_inner_start + d_inner_per_thread, d_inner);
+
+    // No work for this thread
+    if (d_inner_start >= d_inner_end) {
+        return;
+    }
+
+    for (uint32_t i3 = 0; i3 < n_s; ++i3) {
+        for (uint32_t i2 = 0; i2 < n_t; ++i2) {
+            for (uint32_t i1 = d_inner_start; i1 < d_inner_end; ++i1) {
+                float sumf = 0.0f;
+
+                for (uint32_t i0 = 0; i0 < d_conv; ++i0) {
+                    const uint32_t src0_idx = (i2 + i0) + i1 * src0_stride_inner + i3 * src0_stride_seq;
+                    const uint32_t src1_idx = i0 + i1 * src1_stride_inner;
+
+                    sumf += src0_data[src0_idx] * src1_data[src1_idx];
+                }
+
+                const uint32_t dst_idx = i1 + i2 * dst_stride_token + i3 * dst_stride_seq;
+                dst_data[dst_idx] = sumf;
+            }
+        }
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "ssm-conv-f32 %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n",
+         ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], d_inner_start, d_inner_end,
+         src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1],
+         dst->ne[2], dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+// HVX FP32 SSM_CONV implementation - vectorizes across d_inner dimension
+static void ssm_conv_thread_f32_f32_hvx(unsigned int nth, unsigned int ith, void *data) {
+    htp_ssm_conv_preamble;
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    const int nc  = src1->ne[0]; // d_conv
+    const int ncs = src0->ne[0]; // d_conv - 1 + n_t
+
+    const uint32_t d_conv  = src1->ne[0];
+    const uint32_t d_inner = src0->ne[1];
+    const uint32_t n_t     = dst->ne[1];
+    const uint32_t n_s     = dst->ne[2];
+
+    const float * src0_data = (const float *) src0->data;
+    const float * src1_data = (const float *) src1->data;
+    float *       dst_data  = (float *) dst->data;
+
+    // Calculate row range for this thread
+    const int dr = scctx->nrows_per_thread;
+    const uint32_t ir0 = dr * ith;
+    const uint32_t ir1 = MIN(ir0 + dr, d_inner);
+    const int      ir  = ir1 - ir0;
+
+    if (ir0 >= ir1) {
+        return;  // No work for this thread
+    }
+
+    // src0 and src1 gather offsets
+    uint32_t __attribute__((aligned(VLEN))) src0_offsets[VLEN_FP32] = { 0 };
+    uint32_t __attribute__((aligned(VLEN))) src1_offsets[VLEN_FP32] = { 0 };
+
+    for (uint32_t i = 0; i < VLEN_FP32; ++i) {
+        src0_offsets[i] = i * (ncs)    * sizeof(float);
+        src1_offsets[i] = i * (d_conv) * sizeof(float);
+    }
+
+    const uint32_t src0_gather_len = VLEN * ncs;
+    const uint32_t src1_gather_len = VLEN * d_conv;
+
+    // gather scratchpads
+    HVX_Vector * src0_vec = (HVX_Vector *) (octx->ctx->vtcm_base + ith * VLEN*2 + 0);
+    HVX_Vector * src1_vec = (HVX_Vector *) (octx->ctx->vtcm_base + ith * VLEN*2 + VLEN);
+
+    float * data_src0 = (float *) ((char *) src0->data + ir0 * src0->nb[1]);
+    float * data_src1 = (float *) ((char *) src1->data + ir0 * src1->nb[1]);
+
+    uint8_t * spad_src0 = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread;
+    uint8_t * spad_src1 = octx->src1_spad.data + ith * octx->src1_spad.size_per_thread;
+
+    // copy src1 workload to VTCM
+    dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(spad_src1, data_src1), nb11, nb11, ir);
+
+    // FARF(HIGH, "ssm-conv-src1-fetch %d: ir0 %u size %u\n", ith, ir0, nb11 * ir);
+
+    for (uint32_t i3 = 0; i3 < n_s; ++i3) {
+        float * src0_data_ptr = (float *) ((char *) data_src0 + i3 * (src0->nb[2]));
+
+        // copy src0 workload to VTCM
+        dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(spad_src0, src0_data_ptr), nb01, nb01, ir);
+
+        // FARF(HIGH, "ssm-conv-src0-fetch %d: ir0 %u i3 %u size %u\n", ith, ir0, i3, nb01 * ir);
+
+        dma_queue_flush(dma_queue);
+
+        for (uint32_t i2 = 0; i2 < n_t; ++i2) {
+            float * dst_ptr = (float *) ((char *) dst->data + ir0 * (dst->nb[0]) + i2 * (dst->nb[1]) + i3 * (dst->nb[2]));
+
+            const uint32_t nvec = ir / VLEN_FP32;
+            const uint32_t nloe = ir % VLEN_FP32;
+            uint32_t i1 = 0;
+
+            for (uint32_t vi1 = 0; vi1 < nvec; vi1++) {
+                HVX_Vector acc_vec = Q6_V_vsplat_R(0);
+
+                for (uint32_t i0 = 0; i0 < d_conv; ++i0) {
+                    Q6_vgather_ARMVw(src0_vec, GATHER_TYPE(spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0])),
+                                     src0_gather_len, (*(const HVX_Vector *) src0_offsets));
+                    Q6_vgather_ARMVw(src1_vec, GATHER_TYPE(spad_src1 + (i0 + i1 * nc) * sizeof(float)),
+                                     src1_gather_len, (*(const HVX_Vector *) src1_offsets));
+
+                    HVX_Vector prod = Q6_Vqf32_vmpy_VsfVsf(*(const HVX_Vector *) src0_vec, *(const HVX_Vector *) src1_vec);
+                    acc_vec = Q6_Vqf32_vadd_Vqf32Vqf32(acc_vec, prod);
+                }
+
+                *(HVX_UVector *) (dst_ptr + i1) = Q6_Vsf_equals_Vqf32(acc_vec);
+                i1 += VLEN_FP32;
+            }
+
+            if (nloe) {
+                HVX_Vector acc_vec = Q6_V_vsplat_R(0);
+
+                for (uint32_t i0 = 0; i0 < d_conv; ++i0) {
+                    Q6_vgather_ARMVw(src0_vec, GATHER_TYPE(spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0])),
+                                     src0_gather_len, (*(const HVX_Vector *) src0_offsets));
+                    Q6_vgather_ARMVw(src1_vec, GATHER_TYPE(spad_src1 + (i0 + i1 * nc) * sizeof(float)),
+                                     src1_gather_len, (*(const HVX_Vector *) src1_offsets));
+
+                    HVX_Vector prod = Q6_Vqf32_vmpy_VsfVsf(*(const HVX_Vector *) src0_vec, *(const HVX_Vector *) src1_vec);
+                    acc_vec = Q6_Vqf32_vadd_Vqf32Vqf32(acc_vec, prod);
+                }
+
+                hvx_vec_store_u(dst_ptr + i1, (ir - i1) * 4, Q6_Vsf_equals_Vqf32(acc_vec));
+            }
+        }
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "ssm-conv-f32-hvx %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n",
+         ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1,
+         src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1],
+         dst->ne[2], dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+int op_ssm_conv_f32(struct htp_ops_context * octx) {
+    htp_ssm_conv_tensors_preamble;
+
+    if (src0->type != HTP_TYPE_F32 || src1->type != HTP_TYPE_F32 || dst->type != HTP_TYPE_F32) {
+        FARF(ERROR, "ssm_conv: only (F32 x F32 -> F32) OPs supported");
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    struct htp_ssm_conv_context scctx = { 0 };
+    scctx.octx = octx;
+
+    const uint32_t d_conv  = src1->ne[0];
+    const uint32_t d_inner = src0->ne[1];
+    const uint32_t n_t     = dst->ne[1];  // tokens per sequence
+    const uint32_t n_s     = dst->ne[2];  // number of sequences in the batch
+
+    const uint32_t n_threads = MIN(octx->n_threads, d_inner);
+
+    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
+        uint32_t use_hvx = 0;
+        if (d_inner >= VLEN_FP32 && d_inner % VLEN_FP32 == 0) {
+            int is_aligned = hex_is_aligned((void *) src0->data, VLEN) &&
+                             hex_is_aligned((void *) src1->data, VLEN) &&
+                             hex_is_aligned((void *) dst->data, VLEN);
+
+            if (is_aligned) {
+                use_hvx = 1;
+            }
+        }
+
+        if (use_hvx) {
+            scctx.nrows_per_thread  = (d_inner + n_threads - 1) / n_threads; // d_inner chunks per thread
+            scctx.nrows_per_thread += (scctx.nrows_per_thread & 1); // round up to even
+
+            octx->src0_spad.size_per_thread = hex_round_up(scctx.nrows_per_thread * nb01, 256);
+            octx->src1_spad.size_per_thread = hex_round_up(scctx.nrows_per_thread * nb11, 256);
+            octx->dst_spad.size_per_thread  = hex_round_up(scctx.nrows_per_thread * sizeof(float), 256);
+
+            octx->src0_spad.size = octx->src0_spad.size_per_thread * n_threads;
+            octx->src1_spad.size = octx->src1_spad.size_per_thread * n_threads;
+            octx->dst_spad.size  = octx->dst_spad.size_per_thread  * n_threads;
+
+            // Compute gather scratchpad size for src0 and src1
+            const size_t gather_spad_size = n_threads * VLEN * 2;
+
+            octx->src0_spad.data = octx->ctx->vtcm_base + gather_spad_size;
+            octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
+            octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+
+            FARF(HIGH, "ssm_conv-f32: gather-spad:%zu spad-per-thread:(%u:%u:%u) spad-sizes:(%u:%u:%u) spad-data:(%p:%p:%p)\n",
+                gather_spad_size, octx->src0_spad.size_per_thread, octx->src1_spad.size_per_thread,
+                octx->dst_spad.size_per_thread, octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size,
+                octx->src0_spad.data, octx->src1_spad.data, octx->dst_spad.data);
+
+            const size_t total_spad_size =
+                gather_spad_size + octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
+
+            if (total_spad_size > octx->ctx->vtcm_size) {
+                FARF(HIGH, "ssm_conv-f32: HVX scratchpad size %zu exceeds VTCM size %zu", total_spad_size,
+                     octx->ctx->vtcm_size);
+                use_hvx = 0;
+            }
+        }
+
+        FARF(HIGH, "ssm-conv-f32: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : use_hvx %d\n", src0->ne[0],
+             src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0],
+             dst->ne[1], dst->ne[2], dst->ne[3], use_hvx);
+
+        if (use_hvx) {
+            worker_pool_run_func(octx->ctx->worker_pool, ssm_conv_thread_f32_f32_hvx, &scctx, n_threads);
+        } else {
+            worker_pool_run_func(octx->ctx->worker_pool, ssm_conv_thread_f32_f32, &scctx, n_threads);
+        }
+    }
+
+    return HTP_STATUS_OK;
+}
+
+int op_ssm_conv(struct htp_ops_context * octx) {
+    int                 err = HTP_STATUS_OK;
+    struct htp_tensor * dst = &octx->dst;
+
+    switch (dst->type) {
+        case HTP_TYPE_F32:
+            err = op_ssm_conv_f32(octx);
+            break;
+        default:
+            err = HTP_STATUS_NO_SUPPORT;
+            break;
+    }
+
+    return err;
+}
diff --git a/ggml/src/ggml-hexagon/htp/sum-rows-ops.c b/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
index 62e45da2b35..352650b689b 100644
--- a/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
@@ -17,7 +17,6 @@
 #include "htp-msg.h"
 #include "htp-ops.h"
 
-
 #define sum_rows_preamble                       \
     struct htp_tensor *src0 =  &octx->src0;\
     struct htp_tensor *dst  = &octx->dst;  \
@@ -42,53 +41,54 @@
     const uint32_t  nb2 = dst->nb[2];      \
     const uint32_t  nb3 = dst->nb[3];      \
 
-static int sum_rows_thread_f32(struct htp_ops_context * octx, const int nth, const int ith) {
-    sum_rows_preamble;
+struct sum_rows_context {
+    const uint8_t * src_data;
+    uint8_t       * dst_data;
+    uint32_t        ne00;
+    size_t          src_stride;
+    size_t          dst_stride;
+    uint32_t        rows_per_thread;
+    uint32_t        total_rows;
+    bool            opt_path;
+};
 
-    const uint32_t src0_nrows_per_thread  = octx->src0_nrows_per_thread;
-    const size_t src0_row_size = nb01;
-    const size_t dst_row_size  = nb1;
+static void sum_rows_thread_f32(unsigned int nth, unsigned int ith, void *data) {
+    const struct sum_rows_context * smctx = (const struct sum_rows_context *) data;
 
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;  // src0 rows
+    const uint32_t rows_per_thread = smctx->rows_per_thread;
+    const uint32_t total_rows      = smctx->total_rows;
 
-    const uint32_t src0_start_row = src0_nrows_per_thread * ith;
-    const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
+    const uint32_t start_row = rows_per_thread * ith;
+    const uint32_t end_row   = MIN(start_row + rows_per_thread, total_rows);
 
-    // no work for this thread
-    if (src0_start_row >= src0_end_row) {
-        return HTP_STATUS_OK;
+    if (start_row >= end_row) {
+        return;
     }
 
-    int opt_path   = 0;
-    if ((0 == hex_is_aligned((void *) src0->data, VLEN)) && !(nb01 & (VLEN - 1))) {
-        opt_path = 1;
-    }
+    const size_t   src_stride = smctx->src_stride;
+    const size_t   dst_stride = smctx->dst_stride;
+    const uint32_t ne00       = smctx->ne00;
+    const bool     opt_path   = smctx->opt_path;
 
-    const uint8_t * restrict data_src = (const uint8_t *) src0->data;
-    uint8_t * restrict data_dst       = (uint8_t *) dst->data;
+    const float * restrict src_th = (const float *) (smctx->src_data + (start_row * src_stride));
+    float       * restrict dst_th = (float *)       (smctx->dst_data + (start_row * dst_stride));
 
-    const float * restrict src_th = (float *) (data_src + (src0_start_row * src0_row_size));
-    float * restrict dst_th       = (float *) (data_dst + (src0_start_row * dst_row_size));
+    // Calculate actual number of rows for this thread
+    const uint32_t n_rows = end_row - start_row;
 
-    for (uint32_t ir = 0; ir < src0_nrows_per_thread; ir++) {
-        const float * restrict src_local = src_th + (ir * ne00);
+    for (uint32_t ir = 0; ir < n_rows; ir++) {
+        const float * restrict src_local = src_th + (ir * (src_stride / sizeof(float)));
 
-        if (ir + 1 < src0_nrows_per_thread) {
-            hex_l2fetch(src_local + ne00, src0_row_size, src0_row_size, 1);
+        if (ir + 1 < n_rows) {
+            hex_l2fetch(src_local + (src_stride / sizeof(float)), src_stride, src_stride, 1);
         }
 
-        if (1 == opt_path) {
+        if (opt_path) {
             dst_th[ir] = hvx_reduce_sum_f32_a((const uint8_t *) src_local, ne00);
         } else {
             dst_th[ir] = hvx_reduce_sum_f32((const uint8_t *) src_local, ne00);
         }
     }
-
-    return HTP_STATUS_OK;
-}
-
-static void sum_rows_work_f32(unsigned int n, unsigned int i, void *data) {
-    sum_rows_thread_f32((struct htp_ops_context *) data, n, i);
 }
 
 int op_sum_rows(struct htp_ops_context * octx) {
@@ -102,14 +102,27 @@ int op_sum_rows(struct htp_ops_context * octx) {
         return HTP_STATUS_OK;
     }
 
-    const int      n_threads  = octx->n_threads;
     const uint32_t src0_nrows = ne01 * ne02 * ne03;
+    const uint32_t n_threads = MIN(octx->n_threads, src0_nrows);
+    const uint32_t rows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
+
+    bool opt_path = false;
+    if ((0 == hex_is_aligned((void *) src0->data, VLEN)) && !(nb01 & (VLEN - 1))) {
+        opt_path = true;
+    }
 
-    uint32_t n_jobs = MIN(n_threads, src0_nrows);
-    octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
+    struct sum_rows_context smctx = {
+        .src_data        = (const uint8_t *) src0->data,
+        .dst_data        = (uint8_t *) dst->data,
+        .ne00            = ne00,
+        .src_stride      = nb01,
+        .dst_stride      = nb1,
+        .rows_per_thread = rows_per_thread,
+        .total_rows      = src0_nrows,
+        .opt_path        = opt_path,
+    };
 
-    worker_pool_run_func(octx->ctx->worker_pool, sum_rows_work_f32, octx, n_jobs);
+    worker_pool_run_func(octx->ctx->worker_pool, sum_rows_thread_f32, &smctx, n_threads);
 
     return HTP_STATUS_OK;
 }
-
diff --git a/ggml/src/ggml-hexagon/htp/unary-ops.c b/ggml/src/ggml-hexagon/htp/unary-ops.c
index ce879bf0370..5bbd5040d3d 100644
--- a/ggml/src/ggml-hexagon/htp/unary-ops.c
+++ b/ggml/src/ggml-hexagon/htp/unary-ops.c
@@ -17,6 +17,28 @@
 #include "htp-msg.h"
 #include "htp-ops.h"
 
+struct htp_unary_context {
+    struct htp_ops_context * octx;
+
+    // Precomputed values
+    const uint8_t *           data_src0;
+    uint8_t *                 data_dst;
+
+    size_t                    src0_row_size;
+    size_t                    dst_row_size;
+
+    size_t                    src0_row_size_aligned;
+    size_t                    dst_row_size_aligned;
+
+    size_t                    src0_spad_half_size;
+    size_t                    dst_spad_half_size;
+
+    uint32_t                  block;
+    uint32_t                  src0_nrows;
+    uint32_t                  src0_nrows_per_thread;
+    uint32_t                  nc;
+};
+
 #define htp_unary_preamble            \
     const uint32_t ne00 = src->ne[0]; \
     const uint32_t ne01 = src->ne[1]; \
@@ -57,8 +79,7 @@ static void hvx_fast_rms_norm_f32(const uint8_t * restrict src,
         sum_v         = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, v2);
     }
 
-    HVX_Vector reduced_sum = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v));
-    sum_v                  = hvx_vec_repl4(reduced_sum);
+    sum_v = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v)); // replicated over all lanes
 
     HVX_Vector t_v            = hvx_vec_splat_f32((float) num_elems);
     HVX_Vector denom_v        = hvx_vec_inverse_f32(t_v);
@@ -75,128 +96,95 @@ static void hvx_fast_rms_norm_f32(const uint8_t * restrict src,
     }
 }
 
-static void scale_htp_f32(const float * restrict src,
-                          float * restrict dst,
-                          uint8_t * restrict spad,
-                          const uint32_t num_rows,
-                          const uint32_t row_elems,
-                          const size_t   row_size,
-                          int32_t *      op_params,
-                          int            opt_path) {
+static void scale_f32(const float * restrict src,
+                      float * restrict dst,
+                      uint8_t * restrict spad,
+                      const uint32_t num_rows,
+                      const uint32_t row_elems,
+                      const size_t   row_size,
+                      int32_t *      op_params) {
     float scale = 0.f;
     float bias  = 0.f;
     memcpy(&scale, &op_params[0], sizeof(float));
     memcpy(&bias,  &op_params[1], sizeof(float));
 
     for (uint32_t ir = 0; ir < num_rows; ir++) {
-        const float * restrict src_local = src + (ir * row_elems);
-        float * restrict dst_local       = dst + (ir * row_elems);
-
-        if (ir + 1 < num_rows) {
-            hex_l2fetch(src_local + row_elems, row_size, row_size, 1);
-        }
+        const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size);
+        uint8_t * restrict dst_local       = (uint8_t *)dst + (ir * row_size);
 
-        hvx_scale_offset_f32((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems, scale, bias);
+        hvx_scale_offset_f32_aa((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems, scale, bias);
     }
 }
 
-static void rms_norm_htp_f32(const float * restrict src,
-                             float * restrict dst,
-                             uint8_t * restrict spad,
-                             const uint32_t num_rows,
-                             const uint32_t row_elems,
-                             const size_t   row_size,
-                             int32_t *      op_params,
-                             int            opt_path) {
+static void rms_norm_f32(const float * restrict src,
+                         float * restrict dst,
+                         uint8_t * restrict spad,
+                         const uint32_t num_rows,
+                         const uint32_t row_elems,
+                         const size_t   row_size,
+                         int32_t *      op_params) {
     float epsilon = 0.f;
     memcpy(&epsilon, op_params, sizeof(float));
 
     for (uint32_t ir = 0; ir < num_rows; ir++) {
-        const float * restrict src_local = src + (ir * row_elems);
-        float * restrict dst_local       = dst + (ir * row_elems);
+        const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size);
+        uint8_t * restrict dst_local       = (uint8_t *)dst + (ir * row_size);
 
-        if (ir + 1 < num_rows) {
-            hex_l2fetch(src_local + row_elems, row_size, row_size, 1);
-        }
-
-        if (1 == opt_path) {
-            hvx_fast_rms_norm_f32((const uint8_t *) src_local, (uint8_t *) dst_local, spad, row_elems, epsilon);
-        } else {
-            float sum = hvx_sum_of_squares_f32((const uint8_t *) src_local, row_elems);
-
-            const float mean  = sum / row_elems;
-            const float scale = 1.0f / sqrtf(mean + epsilon);
-
-            hvx_scale_f32((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems, scale);
-        }
+        hvx_fast_rms_norm_f32((const uint8_t *) src_local, (uint8_t *) dst_local, spad, row_elems, epsilon);
     }
 }
 
-static void sqr_htp_f32(const float * restrict src,
-                          float * restrict dst,
-                          uint8_t * restrict spad,
-                          const uint32_t num_rows,
-                          const uint32_t row_elems,
-                          const size_t   row_size,
-                          int32_t *      op_params,
-                          int            opt_path) {
+static void sqr_f32(const float * restrict src,
+                    float * restrict dst,
+                    uint8_t * restrict spad,
+                    const uint32_t num_rows,
+                    const uint32_t row_elems,
+                    const size_t   row_size,
+                    int32_t *      op_params) {
 
     for (uint32_t ir = 0; ir < num_rows; ir++) {
-        const float * restrict src_local = src + (ir * row_elems);
-        float * restrict dst_local       = dst + (ir * row_elems);
-
-        if (ir + 1 < num_rows) {
-            hex_l2fetch(src_local + row_elems, row_size, row_size, 1);
-        }
+        const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size);
+        uint8_t * restrict dst_local       = (uint8_t *)dst + (ir * row_size);
 
-        if (1 == opt_path) {
-            hvx_sqr_f32_aa((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems);
-        } else {
-            hvx_sqr_f32((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems);
-        }
+        hvx_sqr_f32_aa((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems);
     }
 }
 
-static void sqrt_htp_f32(const float * restrict src,
-                          float * restrict dst,
-                          uint8_t * restrict spad,
-                          const uint32_t num_rows,
-                          const uint32_t row_elems,
-                          const size_t   row_size,
-                          int32_t *      op_params,
-                          int            opt_path) {
+static void sqrt_f32(const float * restrict src,
+                     float * restrict dst,
+                     uint8_t * restrict spad,
+                     const uint32_t num_rows,
+                     const uint32_t row_elems,
+                     const size_t   row_size,
+                     int32_t *      op_params) {
 
     for (uint32_t ir = 0; ir < num_rows; ir++) {
-        const float * restrict src_local = src + (ir * row_elems);
-        float * restrict dst_local       = dst + (ir * row_elems);
-
-        if (ir + 1 < num_rows) {
-            hex_l2fetch(src_local + row_elems, row_size, row_size, 1);
-        }
+        const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size);
+        uint8_t * restrict dst_local       = (uint8_t *)dst + (ir * row_size);
 
-        if (1 == opt_path) {
-            hvx_sqrt_f32_aa((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems);
-        } else {
-            hvx_sqrt_f32((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems);
-        }
+        hvx_sqrt_f32_aa((uint8_t *) dst_local, (const uint8_t *) src_local, row_elems);
     }
 }
 
-static void unary_job_f32_per_thread(const struct htp_tensor * src,
-                                     struct htp_tensor *       dst,
-                                     uint8_t *                 spad,
-                                     int                       htp_op,
-                                     int32_t *                 op_params,
-                                     uint32_t                  nth,
-                                     uint32_t                  ith,
-                                     uint32_t                  src0_nrows_per_thread) {
+static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
+    const struct htp_unary_context * uctx = (const struct htp_unary_context *) data;
+    struct htp_ops_context * octx = uctx->octx;
+    const struct htp_tensor * src = &octx->src0;
+    const struct htp_tensor * dst = &octx->dst;
+
     htp_unary_preamble;
 
-    const size_t src0_row_size = nb01;
-    const size_t dst_row_size  = nb1;
+    int                       htp_op = octx->op;
+    int32_t *                 op_params = octx->op_params;
+    uint32_t                  src0_nrows_per_thread = uctx->src0_nrows_per_thread;
+
+    const size_t src0_row_size = uctx->src0_row_size;
+    const size_t dst_row_size  = uctx->dst_row_size;
 
-    const uint32_t src0_nrows = ne01 * ne02 * ne03;  // src0 rows
+    const size_t src0_row_size_aligned = uctx->src0_row_size_aligned;
+    const size_t dst_row_size_aligned  = uctx->dst_row_size_aligned;
 
+    const uint32_t src0_nrows = uctx->src0_nrows;
     const uint32_t src0_start_row = src0_nrows_per_thread * ith;
     const uint32_t src0_end_row   = MIN(src0_start_row + src0_nrows_per_thread, src0_nrows);
 
@@ -208,79 +196,104 @@ static void unary_job_f32_per_thread(const struct htp_tensor * src,
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
 
-    int is_aligned = 1;
-    int opt_path   = 0;
-    if ((0 == hex_is_aligned((void *) src->data, VLEN)) || (0 == hex_is_aligned((void *) dst->data, VLEN))) {
-        is_aligned = 0;
-    }
-    if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) {
-        opt_path = 1;
+    const uint8_t * restrict data_src = uctx->data_src0;
+    uint8_t * restrict       data_dst = uctx->data_dst;
+
+    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
+    uint8_t * dst_spad_data  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
+
+    size_t src0_spad_half_size = uctx->src0_spad_half_size;
+    size_t dst_spad_half_size  = uctx->dst_spad_half_size;
+
+    const int BLOCK = uctx->block;
+    if (BLOCK == 0) {
+        FARF(ERROR, "unary-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n",
+             octx->src0_spad.size_per_thread, src0_row_size_aligned);
+        return;
     }
 
-    const uint8_t * restrict data_src = (const uint8_t *) src->data;
-    uint8_t * restrict data_dst       = (uint8_t *) dst->data;
+    dma_queue * dma_queue = octx->ctx->dma[ith];
 
-    const float * restrict src_th = (float *) (data_src + (src0_start_row * src0_row_size));
-    float * restrict dst_th       = (float *) (data_dst + (src0_start_row * dst_row_size));
-    uint8_t * restrict spad_th    = (uint8_t *) spad + (ith * nb01);
+    for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
+        const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
 
-    switch (htp_op) {
-        case HTP_OP_RMS_NORM:
-            rms_norm_htp_f32(src_th, dst_th, spad_th, src0_end_row - src0_start_row, ne0, nb1, op_params, opt_path);
-            break;
-        case HTP_OP_SCALE:
-            scale_htp_f32(src_th, dst_th, spad_th, src0_end_row - src0_start_row, ne0, nb1, op_params, opt_path);
-            break;
-        case HTP_OP_SQR:
-            sqr_htp_f32(src_th, dst_th, spad_th, src0_end_row - src0_start_row, ne0, nb1, op_params, opt_path);
-            break;
-        case HTP_OP_SQRT:
-            sqrt_htp_f32(src_th, dst_th, spad_th, src0_end_row - src0_start_row, ne0, nb1, op_params, opt_path);
-            break;
+        // Dummy DMA transation for sequencing (interleaving dst,src,dst,...)
+        dma_queue_push_vtcm_to_ddr(dma_queue,
+            dma_make_ptr(data_dst, dst_spad_data + (spad_idx * dst_spad_half_size)),
+            dst_row_size, dst_row_size_aligned, 0);
 
-        default:
-            break;
+        dma_queue_push_ddr_to_vtcm(dma_queue,
+            dma_make_ptr(src0_spad_data + (spad_idx * src0_spad_half_size), data_src + (ir * src0_row_size)),
+            src0_row_size_aligned, src0_row_size, block_size);
     }
 
+    for (uint32_t ir = src0_start_row; ir < src0_end_row; ir += BLOCK) {
+        const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
+
+        float * dst_spad  = (float *) dma_queue_pop(dma_queue).src;
+        float * src0_spad = (float *) dma_queue_pop(dma_queue).dst;
+
+        // Process block in VTCM
+        switch (htp_op) {
+            case HTP_OP_RMS_NORM:
+                rms_norm_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
+                break;
+            case HTP_OP_SCALE:
+                scale_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
+                break;
+            case HTP_OP_SQR:
+                sqr_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
+                break;
+            case HTP_OP_SQRT:
+                sqrt_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params);
+                break;
+            default:
+                break;
+        }
+
+        dma_queue_push_vtcm_to_ddr(dma_queue,
+            dma_make_ptr(data_dst + (ir * dst_row_size), dst_spad),
+            dst_row_size, dst_row_size_aligned, block_size);
+
+        // prefetch N+2 loop iteration if any
+        const uint32_t pref_block = (ir + BLOCK * 2);
+        if (pref_block < src0_end_row) {
+            const uint32_t pref_block_size = MIN(BLOCK, src0_end_row - pref_block);
+            dma_queue_push_ddr_to_vtcm(dma_queue,
+                dma_make_ptr(src0_spad, data_src + (pref_block * src0_row_size)),
+                src0_row_size_aligned, src0_row_size, pref_block_size);
+        }
+    }
+
+    dma_queue_flush(dma_queue);
+
     t2 = HAP_perf_get_qtimer_count();
 
-    FARF(HIGH, "unary-f32 %d/%d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u usec %u\n", ith, nth, opt_path, src->ne[0],
+    FARF(HIGH, "unary-f32 %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u usec %u\n", ith, nth, src->ne[0],
          src->ne[1], src->ne[2], src->ne[3], src0_start_row, src0_end_row, dst->ne[0], dst->ne[1], dst->ne[2],
          dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
 }
 
-static void unary_job_dispatcher_f32(unsigned int n, unsigned int i, void * data) {
-    struct htp_ops_context * octx = (struct htp_ops_context *) data;
-
-    unary_job_f32_per_thread(&octx->src0, &octx->dst, octx->src0_spad.data, octx->op, octx->op_params, n, i,
-                             octx->src0_nrows_per_thread);
-}
-
 static int execute_op_unary_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
     const struct htp_tensor * src0 = &octx->src0;
     struct htp_tensor *       dst  = &octx->dst;
 
-    worker_callback_t unary_op_func;
-    const char *      op_type = NULL;
+    const char * op_type = NULL;
 
     switch (octx->op) {
         case HTP_OP_RMS_NORM:
-            unary_op_func = unary_job_dispatcher_f32;
-            op_type       = "rmsnorm-f32";
+            op_type = "rmsnorm-f32";
             break;
         case HTP_OP_SCALE:
-            unary_op_func = unary_job_dispatcher_f32;
-            op_type       = "scale-f32";
+            op_type = "scale-f32";
             break;
         case HTP_OP_SQR:
-            unary_op_func = unary_job_dispatcher_f32;
-            op_type       = "sqr-f32";
+            op_type = "sqr-f32";
             break;
         case HTP_OP_SQRT:
-            unary_op_func = unary_job_dispatcher_f32;
-            op_type       = "sqrt-f32";
+            op_type = "sqrt-f32";
             break;
 
         default:
@@ -288,38 +301,65 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) {
             return HTP_STATUS_NO_SUPPORT;
     }
 
-    const int      n_threads  = octx->n_threads;
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     const size_t src0_row_size = src0->nb[1];
     const size_t dst_row_size  = dst->nb[1];
 
-    // VTCM scratchpads for all tensors
-    octx->dst_spad.size  = hex_round_up(dst_row_size, 128) * n_threads;
-    octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads;
+    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
+    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
 
-    size_t spad_size = octx->src0_spad.size + octx->dst_spad.size;
+    // VTCM scratchpads for all tensors
+    // N rows per thread, padded to HVX vector size
+    // Double buffering requires 2x size per buffer
 
-    FARF(HIGH, "%s: (%ux%ux%ux%u) -> (%ux%ux%ux%u) : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n", op_type,
-         src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
-         octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size);
+    size_t spad_size_per_row   = 2 * (src0_row_size_aligned + dst_row_size_aligned);
+    size_t vtcm_row_per_thread = (octx->ctx->vtcm_size)/ (n_threads * spad_size_per_row);
 
     // Make sure the reserved vtcm size is sufficient
-    if (octx->ctx->vtcm_size < spad_size) {
+    if (vtcm_row_per_thread == 0) {
         FARF(ERROR, "unary-%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size,
-             spad_size);
+             spad_size_per_row * n_threads);
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
+    octx->src0_spad.size_per_thread = src0_row_size_aligned * vtcm_row_per_thread * 2;
+    octx->dst_spad.size_per_thread  = dst_row_size_aligned * vtcm_row_per_thread * 2;
+
+    octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
+    octx->dst_spad.size  = n_threads * octx->dst_spad.size_per_thread;
+
     octx->src0_spad.data = octx->ctx->vtcm_base;
     octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size;
 
+    FARF(HIGH, "%s: (%ux%ux%ux%u) -> (%ux%ux%ux%u) : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n", op_type,
+         src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
+         octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size);
+
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        uint32_t n_jobs = MIN(n_threads, src0_nrows);
+        struct htp_unary_context uctx = {
+            .octx                  = octx,
+            .src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads,
+            .src0_nrows            = src0_nrows,
+
+            .data_src0             = (const uint8_t *)src0->data,
+            .data_dst              = (uint8_t *)dst->data,
+
+            .src0_row_size         = src0_row_size,
+            .dst_row_size          = dst_row_size,
+
+            .src0_row_size_aligned = src0_row_size_aligned,
+            .dst_row_size_aligned  = dst_row_size_aligned,
+
+            .src0_spad_half_size   = octx->src0_spad.size_per_thread / 2,
+            .dst_spad_half_size    = octx->dst_spad.size_per_thread / 2,
 
-        octx->src0_nrows_per_thread = (src0_nrows + n_jobs - 1) / n_jobs;
+            .block                 = (octx->src0_spad.size_per_thread / 2) / src0_row_size_aligned,
+            .nc                    = src0->ne[0],
+        };
 
-        worker_pool_run_func(octx->ctx->worker_pool, unary_op_func, octx, n_jobs);
+        worker_pool_run_func(octx->ctx->worker_pool, unary_job_f32_per_thread, &uctx, n_threads);
     }
 
     return err;
diff --git a/ggml/src/ggml-hexagon/htp/worker-pool.c b/ggml/src/ggml-hexagon/htp/worker-pool.c
index 894815f46a5..172e28908eb 100644
--- a/ggml/src/ggml-hexagon/htp/worker-pool.c
+++ b/ggml/src/ggml-hexagon/htp/worker-pool.c
@@ -56,7 +56,7 @@ static void worker_pool_main(void * context) {
         unsigned int n = atomic_load(&pool->n_jobs);
         unsigned int i = atomic_fetch_add(&pool->next_job, 1);
         if (i >= n) {
-            // Spurios wakeup
+            // Spurious wakeup
             continue;
         }
 
diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt
index 80037d24361..b44ed0f7215 100644
--- a/ggml/src/ggml-hip/CMakeLists.txt
+++ b/ggml/src/ggml-hip/CMakeLists.txt
@@ -11,6 +11,10 @@ endif()
 list(APPEND CMAKE_PREFIX_PATH  ${ROCM_PATH})
 list(APPEND CMAKE_PREFIX_PATH "${ROCM_PATH}/lib64/cmake")
 
+if (NOT DEFINED CMAKE_HIP_FLAGS_DEBUG)
+    set(CMAKE_HIP_FLAGS_DEBUG "-g -O2")
+endif()
+
 # CMake on Windows doesn't support the HIP language yet
 if (WIN32)
     set(CXX_IS_HIPCC TRUE)
diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h
index baadfe9a7b3..92568655956 100644
--- a/ggml/src/ggml-impl.h
+++ b/ggml/src/ggml-impl.h
@@ -98,6 +98,10 @@ static bool ggml_op_is_empty(enum ggml_op op) {
     }
 }
 
+static inline bool ggml_impl_is_view(const struct ggml_tensor * t) {
+    return t->view_src != NULL;
+}
+
 static inline float ggml_compute_softplus_f32(float input) {
     return (input > 20.0f) ? input : logf(1 + expf(input));
 }
@@ -487,6 +491,61 @@ static inline float ggml_e8m0_to_fp32_half(uint8_t x) {
 #define GGML_E8M0_TO_FP32(x) ggml_e8m0_to_fp32(x)
 #define GGML_E8M0_TO_FP32_HALF(x) ggml_e8m0_to_fp32_half(x)
 
+// UE4M3: unsigned, 4 exp bits (bias=7), 3 mantissa bits
+// Returns value * 0.5 to match kvalues_mxfp4 convention (kvalues = 2 * E2M1_float)
+static inline float ggml_ue4m3_to_fp32(uint8_t x) {
+    if (x == 0 || x == 0x7F) {
+        return 0.0f;
+    }
+    int   exp = (x >> 3) & 0xF;
+    int   man = x & 0x7;
+    float raw;
+    if (exp == 0) {
+        raw = ldexpf((float) man, -9);
+    } else {
+        raw = ldexpf(1.0f + (float) man / 8.0f, exp - 7);
+    }
+    return raw * 0.5f;
+}
+
+static inline uint8_t ggml_fp32_to_ue4m3(float x) {
+    if (!(x > 0.0f)) {
+        return 0;
+    }
+    if (x > 448.0f) {
+        x = 448.0f;
+    }
+    uint32_t bits;
+    memcpy(&bits, &x, 4);
+    int fp32_exp  = ((bits >> 23) & 0xFF) - 127;
+    int fp32_man  = (bits >> 20) & 0x7;
+    int ue4m3_exp = fp32_exp + 7;
+    if (ue4m3_exp <= 0) {
+        // subnormal: value = man * 2^-9, man = round(x * 2^9)
+        int man = (int) (x * 512.0f + 0.5f);
+        if (man > 7) {
+            man = 7;
+        }
+        if (man < 1) {
+            return 0;
+        }
+        return (uint8_t) man;
+    }
+    if (ue4m3_exp >= 15) {
+        return 0x7E;
+    }
+    int round_bit = (bits >> 19) & 1;
+    int ue4m3_man = fp32_man + round_bit;
+    if (ue4m3_man > 7) {
+        ue4m3_man = 0;
+        ue4m3_exp++;
+        if (ue4m3_exp >= 15) {
+            return 0x7E;
+        }
+    }
+    return (uint8_t) ((ue4m3_exp << 3) | ue4m3_man);
+}
+
 /**
  * Converts brain16 to float32.
  *
diff --git a/ggml/src/ggml-metal/ggml-metal-common.cpp b/ggml/src/ggml-metal/ggml-metal-common.cpp
index 95627d38665..2eb9820bff9 100644
--- a/ggml/src/ggml-metal/ggml-metal-common.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-common.cpp
@@ -264,15 +264,26 @@ static std::vector<int> ggml_metal_graph_optimize_reorder(const std::vector<node
             case GGML_OP_NORM:
             case GGML_OP_RMS_NORM:
             case GGML_OP_GROUP_NORM:
+            case GGML_OP_L2_NORM:
             case GGML_OP_SUM_ROWS:
+            case GGML_OP_SSM_CONV:
+            case GGML_OP_SSM_SCAN:
+            case GGML_OP_CLAMP:
+            case GGML_OP_TRI:
+            case GGML_OP_DIAG:
             case GGML_OP_MUL:
             case GGML_OP_ADD:
+            case GGML_OP_SUB:
             case GGML_OP_DIV:
             case GGML_OP_GLU:
             case GGML_OP_SCALE:
+            case GGML_OP_UNARY:
             case GGML_OP_GET_ROWS:
-            case GGML_OP_CPY:
             case GGML_OP_SET_ROWS:
+            case GGML_OP_SET:
+            case GGML_OP_CPY:
+            case GGML_OP_CONT:
+            case GGML_OP_REPEAT:
                 return true;
             default:
                 return ggml_op_is_empty(op);
@@ -312,7 +323,7 @@ static std::vector<int> ggml_metal_graph_optimize_reorder(const std::vector<node
             h_add(mrs1, node0);
 
             // that many nodes forward to search for a concurrent node
-            constexpr int N_FORWARD = 8;
+            constexpr int N_FORWARD = 64;
 
             for (int i1 = i0 + 1; i1 < i0 + N_FORWARD && i1 < n; i1++) {
                 if (used[i1]) {
diff --git a/ggml/src/ggml-metal/ggml-metal-context.m b/ggml/src/ggml-metal/ggml-metal-context.m
index 5d3a8ce412a..32d97cd5d0a 100644
--- a/ggml/src/ggml-metal/ggml-metal-context.m
+++ b/ggml/src/ggml-metal/ggml-metal-context.m
@@ -47,7 +47,7 @@
     uint64_t fuse_cnt[GGML_OP_COUNT];
 
     // capture state
-    bool capture_next_compute;
+    int capture_compute;
     bool capture_started;
 
     id<MTLCaptureScope> capture_scope;
@@ -75,6 +75,10 @@
     // abort ggml_metal_graph_compute if callback returns true
     ggml_abort_callback abort_callback;
     void *              abort_callback_data;
+
+    // error state - set when a command buffer fails during synchronize
+    // once set, graph_compute will return GGML_STATUS_FAILED until the backend is recreated
+    bool has_error;
 };
 
 ggml_metal_t ggml_metal_init(ggml_metal_device_t dev) {
@@ -154,10 +158,19 @@ ggml_metal_t ggml_metal_init(ggml_metal_device_t dev) {
     GGML_LOG_INFO("%s: use concurrency    = %s\n", __func__, res->use_concurrency    ? "true" : "false");
     GGML_LOG_INFO("%s: use graph optimize = %s\n", __func__, res->use_graph_optimize ? "true" : "false");
 
-    res->capture_next_compute = false;
+    res->capture_compute = 0;
     res->capture_started = false;
     res->capture_scope = nil;
 
+    {
+        const char * val = getenv("GGML_METAL_CAPTURE_COMPUTE");
+        if (val) {
+            res->capture_compute = atoi(val);
+        }
+    }
+
+    res->has_error = false;
+
     res->gf = nil;
     res->encode_async = nil;
     for (int i = 0; i < GGML_METAL_MAX_COMMAND_BUFFERS; ++i) {
@@ -246,7 +259,8 @@ void ggml_metal_synchronize(ggml_metal_t ctx) {
                 if (status == MTLCommandBufferStatusError) {
                     GGML_LOG_ERROR("error: %s\n", [[cmd_buf error].localizedDescription UTF8String]);
                 }
-                GGML_ABORT("fatal error");
+                ctx->has_error = true;
+                return;
             }
         }
     }
@@ -262,7 +276,15 @@ void ggml_metal_synchronize(ggml_metal_t ctx) {
                 if (status == MTLCommandBufferStatusError) {
                     GGML_LOG_ERROR("error: %s\n", [[cmd_buf error].localizedDescription UTF8String]);
                 }
-                GGML_ABORT("fatal error");
+
+                // release this and all remaining command buffers before returning
+                for (size_t j = i; j < ctx->cmd_bufs_ext.count; ++j) {
+                    [ctx->cmd_bufs_ext[j] release];
+                }
+                [ctx->cmd_bufs_ext removeAllObjects];
+
+                ctx->has_error = true;
+                return;
             }
 
             [cmd_buf release];
@@ -414,6 +436,11 @@ bool ggml_metal_cpy_tensor_async(ggml_metal_t ctx_src, ggml_metal_t ctx_dst, con
 }
 
 enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * gf) {
+    if (ctx->has_error) {
+        GGML_LOG_ERROR("%s: backend is in error state from a previous command buffer failure - recreate the backend to recover\n", __func__);
+        return GGML_STATUS_FAILED;
+    }
+
     // number of nodes encoded by the main thread (empirically determined)
     const int n_main = MAX(64, 0.1*gf->n_nodes);
 
@@ -438,9 +465,13 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph *
 
         ctx->n_nodes_per_cb = (ctx->n_nodes_1 + ctx->n_cb - 1) / ctx->n_cb;
 
-        const bool use_capture = ctx->capture_next_compute;
+        if (ctx->capture_compute >= 0) {
+            ctx->capture_compute--;
+        }
+
+        const bool use_capture = ctx->capture_compute == 0;
         if (use_capture) {
-            ctx->capture_next_compute = false;
+            ctx->capture_compute = -1;
 
             // make sure all previous computations have finished before starting the capture
             if (ctx->cmd_buf_last) {
@@ -449,6 +480,10 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph *
             }
 
             if (!ctx->capture_started) {
+                NSString * path = [NSString stringWithFormat:@"/tmp/perf-metal-%d.gputrace", getpid()];
+
+                GGML_LOG_WARN("%s: capturing graph in %s\n", __func__, [path UTF8String]);
+
                 // create capture scope
                 id<MTLDevice> device = ggml_metal_device_get_obj(ctx->dev);
                 ctx->capture_scope = [[MTLCaptureManager sharedCaptureManager] newCaptureScopeWithDevice:device];
@@ -456,7 +491,7 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph *
                 MTLCaptureDescriptor * descriptor = [MTLCaptureDescriptor new];
                 descriptor.captureObject = ctx->capture_scope;
                 descriptor.destination = MTLCaptureDestinationGPUTraceDocument;
-                descriptor.outputURL = [NSURL fileURLWithPath:[NSString stringWithFormat:@"/tmp/perf-metal.gputrace"]];
+                descriptor.outputURL = [NSURL fileURLWithPath:path];
 
                 NSError * error = nil;
                 if (![[MTLCaptureManager sharedCaptureManager] startCaptureWithDescriptor:descriptor error:&error]) {
@@ -519,7 +554,7 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph *
 
         // enter here only when capturing in order to wait for all computation to finish
         // otherwise, we leave the graph to compute asynchronously
-        if (!use_capture && ctx->capture_started) {
+        if (use_capture && ctx->capture_started) {
             // wait for completion and check status of each command buffer
             // needed to detect if the device ran out-of-memory for example (#1881)
             {
@@ -571,6 +606,8 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph *
 
             [ctx->capture_scope endScope];
             [[MTLCaptureManager sharedCaptureManager] stopCapture];
+
+            ctx->capture_started = false;
         }
     }
 
@@ -663,7 +700,7 @@ void ggml_metal_set_n_cb(ggml_metal_t ctx, int n_cb) {
             idx_end,
             ctx->use_fusion,
             ctx->use_concurrency,
-            ctx->capture_next_compute,
+            ctx->capture_compute,
             ctx->debug_graph,
             ctx->debug_fusion);
 
@@ -698,5 +735,5 @@ bool ggml_metal_supports_family(ggml_metal_t ctx, int family) {
 }
 
 void ggml_metal_capture_next_compute(ggml_metal_t ctx) {
-    ctx->capture_next_compute = true;
+    ctx->capture_compute = 1;
 }
diff --git a/ggml/src/ggml-metal/ggml-metal-device.cpp b/ggml/src/ggml-metal/ggml-metal-device.cpp
index 517559d12a6..72ad876d5e4 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-device.cpp
@@ -328,31 +328,46 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_sum(ggml_metal_l
 }
 
 ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_sum_rows(ggml_metal_library_t lib, const ggml_tensor * op) {
-    GGML_ASSERT(op->src[0]->nb[0] == ggml_type_size(op->src[0]->type));
+    GGML_ASSERT(ggml_is_contiguous_rows(op->src[0]));
 
     char base[256];
     char name[256];
 
-    const char * op_str = "undefined";
+    int op_num = -1;
+
     switch (op->op) {
-        case GGML_OP_SUM_ROWS:
-            op_str = "sum_rows"; break;
-        case GGML_OP_MEAN:
-            op_str = "mean"; break;
+        case GGML_OP_SUM_ROWS: op_num = OP_SUM_ROWS_NUM_SUM_ROWS; break;
+        case GGML_OP_MEAN:     op_num = OP_SUM_ROWS_NUM_MEAN;     break;
         default: GGML_ABORT("fatal error");
     };
 
-    snprintf(base, 256, "kernel_%s_%s", op_str, ggml_type_name(op->src[0]->type));
+    const char * t0_str = ggml_type_name(op->src[0]->type);
+    const char * t_str  = ggml_type_name(op->type);
 
-    snprintf(name, 256, "%s", base);
+    const bool is_c4 = op->src[0]->ne[0] % 4 == 0;
+
+    snprintf(base, 256, "kernel_sum_rows_%s_%s%s", t0_str, t_str, is_c4 ? "_4" : "");
+    snprintf(name, 256, "%s_op=%d", base, op_num);
 
     ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
     if (!res.pipeline) {
-        res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr);
+        ggml_metal_cv_t cv = ggml_metal_cv_init();
+
+        ggml_metal_cv_set_int16(cv, op_num, FC_SUM_ROWS + 0);
+
+        res = ggml_metal_library_compile_pipeline(lib, base, name, cv);
+
+        ggml_metal_cv_free(cv);
     }
 
     res.smem = 32*sizeof(float);
 
+    if (is_c4) {
+        res.smem *= 4;
+    }
+
+    res.c4  = is_c4;
+
     return res;
 }
 
@@ -562,6 +577,41 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_rwkv(ggml_metal_
     return res;
 }
 
+ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_gated_delta_net(ggml_metal_library_t lib, const ggml_tensor * op) {
+    char base[256];
+    char name[256];
+
+    // v is src[2], dimensions: S_v = ne[0], H = ne[1]
+    const int ne20 = op->src[2]->ne[0]; // S_v
+    const int ne21 = op->src[2]->ne[1]; // H
+    const int ne30 = op->src[3]->ne[0]; // G
+
+    const int nsg = op->src[2]->ne[0]/32;
+
+    GGML_ASSERT(op->src[5]->type == GGML_TYPE_F32);
+    GGML_ASSERT(op->ne[0] == ne20 * ne21);
+    GGML_ASSERT(ne20 % 32 == 0);
+
+    snprintf(base, 256, "kernel_gated_delta_net_%s_%d", ggml_type_name(op->src[0]->type), nsg);
+    snprintf(name, 256, "%s_ne20=%d_ne30=%d", base, ne20, ne30);
+
+    ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
+    if (!res.pipeline) {
+        ggml_metal_cv_t cv = ggml_metal_cv_init();
+
+        ggml_metal_cv_set_int16(cv, ne20, FC_GATED_DELTA_NET + 0);
+        ggml_metal_cv_set_int16(cv, ne30, FC_GATED_DELTA_NET + 1);
+
+        res = ggml_metal_library_compile_pipeline(lib, base, name, cv);
+
+        ggml_metal_cv_free(cv);
+    }
+
+    res.nsg = nsg;
+
+    return res;
+}
+
 ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_solve_tri(ggml_metal_library_t lib, const ggml_tensor * op) {
     char base[256];
     char name[256];
@@ -1420,10 +1470,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_bin(ggml_metal_l
 
     const bool is_c4 = (op->src[0]->ne[0] % 4 == 0) && (op->src[1]->ne[0] % 4 == 0);
 
+    const bool is_cb = op->src[0]->ne[0] != op->src[1]->ne[0];
     const bool is_rb = ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]) && (ggml_nrows(op->src[1]) == 1) && ggml_nelements(op) < 65536;
 
     snprintf(base, 256, "kernel_bin_fuse_%s_%s_%s%s", t0_str, t1_str, t_str, is_c4 ? "_4" : "");
-    snprintf(name, 256, "%s_op=%d_nf=%d_rb=%d", base, op_num, n_fuse, is_rb);
+    snprintf(name, 256, "%s_op=%d_nf=%d_rb=%d_cb=%d", base, op_num, n_fuse, is_rb, is_cb);
 
     ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
     if (!res.pipeline) {
@@ -1432,6 +1483,7 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_bin(ggml_metal_l
         ggml_metal_cv_set_int16(cv, op_num, FC_BIN + 0);
         ggml_metal_cv_set_int16(cv, n_fuse, FC_BIN + 1);
         ggml_metal_cv_set_bool (cv, is_rb,  FC_BIN + 2);
+        ggml_metal_cv_set_bool (cv, is_cb,  FC_BIN + 3);
 
         res = ggml_metal_library_compile_pipeline(lib, base, name, cv);
 
@@ -1702,12 +1754,29 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale(ggml_met
     char base[256];
     char name[256];
 
-    snprintf(base, 256, "kernel_upscale_%s", ggml_type_name(op->src[0]->type));
-    snprintf(name, 256, "%s", base);
+    const int32_t mode_flags = ggml_get_op_params_i32(op, 0);
+    const ggml_scale_mode mode = (ggml_scale_mode) (mode_flags & 0xFF);
+
+    const bool antialias = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS);
+
+    if (mode == GGML_SCALE_MODE_BILINEAR) {
+        snprintf(base, 256, "kernel_upscale_bilinear_%s", ggml_type_name(op->src[0]->type));
+    } else if (mode == GGML_SCALE_MODE_BICUBIC) {
+        snprintf(base, 256, "kernel_upscale_bicubic_%s", ggml_type_name(op->src[0]->type));
+    } else {
+        snprintf(base, 256, "kernel_upscale_nearest_%s", ggml_type_name(op->src[0]->type));
+    }
+    snprintf(name, 256, "%s_aa=%d", base, antialias);
 
     ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
     if (!res.pipeline) {
-        res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr);
+        ggml_metal_cv_t cv = ggml_metal_cv_init();
+
+        ggml_metal_cv_set_bool(cv, antialias, FC_UPSCALE + 0);
+
+        res = ggml_metal_library_compile_pipeline(lib, base, name, cv);
+
+        ggml_metal_cv_free(cv);
     }
 
     return res;
diff --git a/ggml/src/ggml-metal/ggml-metal-device.h b/ggml/src/ggml-metal/ggml-metal-device.h
index 93d7f6a216f..fd2b3ddeb55 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.h
+++ b/ggml/src/ggml-metal/ggml-metal-device.h
@@ -125,6 +125,7 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_conv
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_conv_batched  (ggml_metal_library_t lib, const struct ggml_tensor * op, int ssm_conv_bs);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_scan          (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_rwkv              (ggml_metal_library_t lib, const struct ggml_tensor * op);
+struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_gated_delta_net   (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_solve_tri         (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_ext        (ggml_metal_library_t lib, enum ggml_type tsrc0, enum ggml_type tsrc1, int nsg, int nxpsg, int r1ptg);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm            (ggml_metal_library_t lib, const struct ggml_tensor * op);
diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m
index 4ea0bfb94da..b7d587f3bd9 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.m
+++ b/ggml/src/ggml-metal/ggml-metal-device.m
@@ -1067,8 +1067,8 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
         case GGML_OP_MUL:
         case GGML_OP_DIV:
         case GGML_OP_ADD_ID:
-            return ggml_is_contiguous_rows(op->src[0]) && ggml_is_contiguous_rows(op->src[1]) && op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_ACC:
+            return ggml_is_contiguous_rows(op->src[0]) && ggml_is_contiguous_rows(op->src[1]) && op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_REPEAT:
         case GGML_OP_CONV_TRANSPOSE_1D:
             return true;
@@ -1108,7 +1108,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                    op->type == GGML_TYPE_F32 &&
                    (op->src[0]->type == GGML_TYPE_F16 || op->src[0]->type == GGML_TYPE_F32);
         case GGML_OP_UPSCALE:
-            return op->src[0]->type == GGML_TYPE_F32 && op->op_params[0] == GGML_SCALE_MODE_NEAREST && !(op->op_params[0] & GGML_SCALE_FLAG_ANTIALIAS);
+            return op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_POOL_1D:
             return ggml_is_contiguous(op->src[0]) && op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_POOL_2D:
@@ -1155,10 +1155,13 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
         case GGML_OP_RWKV_WKV6:
         case GGML_OP_RWKV_WKV7:
             return true;
+        case GGML_OP_GATED_DELTA_NET:
+            return has_simdgroup_reduction && op->src[2]->ne[0] % 32 == 0;
         case GGML_OP_SOLVE_TRI:
         case GGML_OP_MUL_MAT:
         case GGML_OP_MUL_MAT_ID:
-            return has_simdgroup_reduction;
+            return has_simdgroup_reduction && op->src[0]->type != GGML_TYPE_NVFP4;
+        case GGML_OP_SET:
         case GGML_OP_CPY:
         case GGML_OP_DUP:
         case GGML_OP_CONT:
@@ -1215,7 +1218,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                 };
             }
         case GGML_OP_GET_ROWS:
-            return true;
+            return op->src[0]->type != GGML_TYPE_NVFP4;
         case GGML_OP_SET_ROWS:
             {
                 if (op->src[0]->type != GGML_TYPE_F32) {
@@ -1280,7 +1283,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
     bool use_residency_sets;
 
     // optional MTLResidencySet
-    // note: cannot use explicity "id<MTLResidencySet>" here because it is not available on certain OSes
+    // note: cannot use explicitly "id<MTLResidencySet>" here because it is not available on certain OSes
     id rset;
 
     // pointers to global device
diff --git a/ggml/src/ggml-metal/ggml-metal-impl.h b/ggml/src/ggml-metal/ggml-metal-impl.h
index 952e1be076e..53437b23cda 100644
--- a/ggml/src/ggml-metal/ggml-metal-impl.h
+++ b/ggml/src/ggml-metal/ggml-metal-impl.h
@@ -35,7 +35,7 @@
 #define N_R0_Q4_K 2
 #define N_SG_Q4_K 2
 
-#define N_R0_Q5_K 2
+#define N_R0_Q5_K 1
 #define N_SG_Q5_K 2
 
 #define N_R0_Q6_K 2
@@ -82,6 +82,9 @@
 #define FC_COUNT_EQUAL                 1100
 #define FC_UNARY                       1200
 #define FC_BIN                         1300
+#define FC_SUM_ROWS                    1400
+#define FC_UPSCALE                     1500
+#define FC_GATED_DELTA_NET             1600
 
 // op-specific constants
 #define OP_FLASH_ATTN_EXT_NQPSG 8
@@ -118,6 +121,8 @@
 #define OP_UNARY_NUM_SOFTPLUS    115
 #define OP_UNARY_NUM_EXPM1       116
 
+#define OP_SUM_ROWS_NUM_SUM_ROWS 10
+#define OP_SUM_ROWS_NUM_MEAN     11
 
 // kernel argument structs
 //
@@ -789,6 +794,44 @@ typedef struct {
     uint64_t nb0;
 } ggml_metal_kargs_ssm_scan;
 
+typedef struct {
+    int32_t  ne00;
+    int32_t  ne01;
+    int32_t  ne02;
+    int32_t  ne03;
+    uint64_t nb00;
+    uint64_t nb01;
+    uint64_t nb02;
+    uint64_t nb03;
+    int32_t  ne10;
+    int32_t  ne11;
+    int32_t  ne12;
+    int32_t  ne13;
+    uint64_t nb10;
+    uint64_t nb11;
+    uint64_t nb12;
+    uint64_t nb13;
+    int32_t  ne20;
+    int32_t  ne21;
+    int32_t  ne22;
+    int32_t  ne23;
+    uint64_t nb20;
+    uint64_t nb21;
+    uint64_t nb22;
+    uint64_t nb23;
+    int32_t  ns02;
+    int32_t  ns12;
+    int32_t  ns22;
+    int32_t  ne0;
+    int32_t  ne1;
+    int32_t  ne2;
+    int32_t  ne3;
+    uint64_t nb0;
+    uint64_t nb1;
+    uint64_t nb2;
+    uint64_t nb3;
+} ggml_metal_kargs_gated_delta_net;
+
 typedef struct {
     int32_t  ne00;
     int32_t  ne01;
@@ -887,6 +930,7 @@ typedef struct {
     float    sf1;
     float    sf2;
     float    sf3;
+    float    poffs;
 } ggml_metal_kargs_upscale;
 
 typedef struct {
diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp
index 7db95d1c84d..c0bcad392b9 100644
--- a/ggml/src/ggml-metal/ggml-metal-ops.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp
@@ -333,6 +333,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) {
             {
                 n_fuse = ggml_metal_op_rwkv(ctx, idx);
             } break;
+        case GGML_OP_GATED_DELTA_NET:
+            {
+                n_fuse = ggml_metal_op_gated_delta_net(ctx, idx);
+            } break;
         case GGML_OP_SOLVE_TRI:
             {
                 n_fuse = ggml_metal_op_solve_tri(ctx, idx);
@@ -426,6 +430,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) {
             {
                 n_fuse = ggml_metal_op_flash_attn_ext(ctx, idx);
             } break;
+        case GGML_OP_SET:
+            {
+                n_fuse = ggml_metal_op_set(ctx, idx);
+            } break;
         case GGML_OP_DUP:
         case GGML_OP_CPY:
         case GGML_OP_CONT:
@@ -616,8 +624,8 @@ int ggml_metal_op_acc(ggml_metal_op_t ctx, int idx) {
     GGML_ASSERT(op->src[1]->type == GGML_TYPE_F32);
     GGML_ASSERT(op->type         == GGML_TYPE_F32);
 
-    GGML_ASSERT(ggml_is_contiguous(op->src[0]));
-    GGML_ASSERT(ggml_is_contiguous(op->src[1]));
+    GGML_ASSERT(ggml_is_contiguous_rows(op->src[0]));
+    GGML_ASSERT(ggml_is_contiguous_rows(op->src[1]));
 
     const size_t pnb1 = ((const int32_t *) op->op_params)[0];
     const size_t pnb2 = ((const int32_t *) op->op_params)[1];
@@ -627,7 +635,7 @@ int ggml_metal_op_acc(ggml_metal_op_t ctx, int idx) {
     const bool inplace = (bool) ((const int32_t *) op->op_params)[4];
 
     if (!inplace) {
-        // run a separete kernel to cpy src->dst
+        // run a separate kernel to cpy src->dst
         // not sure how to avoid this
         // TODO: make a simpler cpy_bytes kernel
 
@@ -667,10 +675,10 @@ int ggml_metal_op_acc(ggml_metal_op_t ctx, int idx) {
     }
 
     ggml_metal_kargs_bin args = {
-        /*.ne00 =*/ ne00,
-        /*.ne01 =*/ ne01,
-        /*.ne02 =*/ ne02,
-        /*.ne03 =*/ ne03,
+        /*.ne00 =*/ ne10,
+        /*.ne01 =*/ ne11,
+        /*.ne02 =*/ ne12,
+        /*.ne03 =*/ ne13,
         /*.nb00 =*/ nb00,
         /*.nb01 =*/ pnb1,
         /*.nb02 =*/ pnb2,
@@ -683,10 +691,10 @@ int ggml_metal_op_acc(ggml_metal_op_t ctx, int idx) {
         /*.nb11 =*/ nb11,
         /*.nb12 =*/ nb12,
         /*.nb13 =*/ nb13,
-        /*.ne0  =*/ ne0,
-        /*.ne1  =*/ ne1,
-        /*.ne2  =*/ ne2,
-        /*.ne3  =*/ ne3,
+        /*.ne0  =*/ ne10,
+        /*.ne1  =*/ ne11,
+        /*.ne2  =*/ ne12,
+        /*.ne3  =*/ ne13,
         /*.nb0  =*/ nb0,
         /*.nb1  =*/ pnb1,
         /*.nb2  =*/ pnb2,
@@ -703,7 +711,13 @@ int ggml_metal_op_acc(ggml_metal_op_t ctx, int idx) {
     ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[1]), 2);
     ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op),         3);
 
-    const int nth = std::min(ggml_metal_pipeline_max_theads_per_threadgroup(pipeline), ne00);
+    const int nth_max = MIN(256, ggml_metal_pipeline_max_theads_per_threadgroup(pipeline));
+
+    int nth = 1;
+
+    while (2*nth < args.ne0 && nth < nth_max) {
+        nth *= 2;
+    }
 
     ggml_metal_encoder_dispatch_threadgroups(enc, ne11, ne12, ne13, nth, 1, 1);
 
@@ -904,6 +918,11 @@ int ggml_metal_op_sum_rows(ggml_metal_op_t ctx, int idx) {
     GGML_TENSOR_LOCALS( int32_t, ne,  op,         ne);
     GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
 
+    GGML_ASSERT(ggml_is_contiguous_rows(op->src[0]));
+
+    ggml_metal_buffer_id bid_src0 = ggml_metal_get_buffer_id(op->src[0]);
+    ggml_metal_buffer_id bid_dst  = ggml_metal_get_buffer_id(op);
+
     ggml_metal_kargs_sum_rows args = {
         /*.ne00 =*/ ne00,
         /*.ne01 =*/ ne01,
@@ -925,21 +944,26 @@ int ggml_metal_op_sum_rows(ggml_metal_op_t ctx, int idx) {
 
     auto pipeline = ggml_metal_library_get_pipeline_sum_rows(lib, op);
 
+    if (pipeline.c4) {
+        args.ne00 = ne00/4;
+        args.ne0  = ne0/4;
+    }
+
     int nth = 32; // SIMD width
 
-    while (nth < ne00 && nth < ggml_metal_pipeline_max_theads_per_threadgroup(pipeline)) {
+    while (nth < args.ne00 && nth < ggml_metal_pipeline_max_theads_per_threadgroup(pipeline)) {
         nth *= 2;
     }
 
     nth = std::min(nth, ggml_metal_pipeline_max_theads_per_threadgroup(pipeline));
-    nth = std::min(nth, ne00);
+    nth = std::min(nth, (int) args.ne00);
 
     const size_t smem = pipeline.smem;
 
     ggml_metal_encoder_set_pipeline(enc, pipeline);
     ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args), 0);
-    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[0]), 1);
-    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op),         2);
+    ggml_metal_encoder_set_buffer  (enc, bid_src0, 1);
+    ggml_metal_encoder_set_buffer  (enc, bid_dst,  2);
 
     ggml_metal_encoder_set_threadgroup_memory_size(enc, smem, 0);
 
@@ -1542,6 +1566,81 @@ int ggml_metal_op_rwkv(ggml_metal_op_t ctx, int idx) {
     return 1;
 }
 
+int ggml_metal_op_gated_delta_net(ggml_metal_op_t ctx, int idx) {
+    ggml_tensor * op = ctx->node(idx);
+
+    ggml_metal_library_t lib = ctx->lib;
+    ggml_metal_encoder_t enc = ctx->enc;
+
+
+    GGML_TENSOR_LOCALS( int32_t, ne0, op->src[0], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb0, op->src[0], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne1, op->src[1], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb1, op->src[1], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne2, op->src[2], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb2, op->src[2], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne,  op,         ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
+
+    auto pipeline = ggml_metal_library_get_pipeline_gated_delta_net(lib, op);
+
+    int ida = 0;
+
+    ggml_metal_kargs_gated_delta_net args = {
+        /*.ne00 =*/ ne00,
+        /*.ne01 =*/ ne01,
+        /*.ne02 =*/ ne02,
+        /*.ne03 =*/ ne03,
+        /*.nb00 =*/ nb00,
+        /*.nb01 =*/ nb01,
+        /*.nb02 =*/ nb02,
+        /*.nb03 =*/ nb03,
+        /*.ne10 =*/ ne10,
+        /*.ne11 =*/ ne11,
+        /*.ne12 =*/ ne12,
+        /*.ne13 =*/ ne13,
+        /*.nb10 =*/ nb10,
+        /*.nb11 =*/ nb11,
+        /*.nb12 =*/ nb12,
+        /*.nb13 =*/ nb13,
+        /*.ne20 =*/ ne20,
+        /*.ne21 =*/ ne21,
+        /*.ne22 =*/ ne22,
+        /*.ne23 =*/ ne23,
+        /*.nb20 =*/ nb20,
+        /*.nb21 =*/ nb21,
+        /*.nb22 =*/ nb22,
+        /*.nb23 =*/ nb23,
+        /*.ns02 =*/ (int32_t) (nb02/sizeof(float)),
+        /*.ns12 =*/ (int32_t) (nb12/sizeof(float)),
+        /*.ns22 =*/ (int32_t) (nb22/sizeof(float)),
+        /*.ne0  =*/ ne0,
+        /*.ne1  =*/ ne1,
+        /*.ne2  =*/ ne2,
+        /*.ne3  =*/ ne3,
+        /*.nb0  =*/ nb0,
+        /*.nb1  =*/ nb1,
+        /*.nb2  =*/ nb2,
+        /*.nb3  =*/ nb3,
+    };
+
+    ggml_metal_encoder_set_pipeline(enc, pipeline);
+    ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args),                  ida++);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[0]), ida++); // q
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[1]), ida++); // k
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[2]), ida++); // v
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[3]), ida++); // gate
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[4]), ida++); // beta
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[5]), ida++); // state
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op),         ida++); // dst
+
+    const int nsg = pipeline.nsg;
+
+    ggml_metal_encoder_dispatch_threadgroups(enc, op->src[2]->ne[0]/nsg, op->src[2]->ne[1], op->src[2]->ne[3], 32, nsg, 1);
+
+    return 1;
+}
+
 int ggml_metal_op_solve_tri(ggml_metal_op_t ctx, int idx) {
     ggml_tensor * op = ctx->node(idx);
 
@@ -1599,6 +1698,134 @@ int ggml_metal_op_solve_tri(ggml_metal_op_t ctx, int idx) {
     return 1;
 }
 
+int ggml_metal_op_set(ggml_metal_op_t ctx, int idx) {
+    ggml_tensor * op = ctx->node(idx);
+
+    ggml_metal_library_t lib = ctx->lib;
+    ggml_metal_encoder_t enc = ctx->enc;
+
+    GGML_TENSOR_LOCALS( int32_t, ne0, op->src[0], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb0, op->src[0], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne1, op->src[1], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb1, op->src[1], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne,  op,         ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
+
+    ggml_metal_buffer_id bid_src0 = ggml_metal_get_buffer_id(op->src[0]);
+    ggml_metal_buffer_id bid_src1 = ggml_metal_get_buffer_id(op->src[1]);
+    ggml_metal_buffer_id bid_dst  = ggml_metal_get_buffer_id(op);
+
+    const size_t pnb1 = ((const int32_t *) op->op_params)[0];
+    const size_t pnb2 = ((const int32_t *) op->op_params)[1];
+    const size_t pnb3 = ((const int32_t *) op->op_params)[2];
+    const size_t offs = ((const int32_t *) op->op_params)[3];
+
+    const bool inplace = (bool) ((const int32_t *) op->op_params)[4];
+
+    if (!inplace) {
+        // run a separate kernel to cpy src->dst
+        // not sure how to avoid this
+        // TODO: make a simpler cpy_bytes kernel
+
+        //const id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_PIPELINE_TYPE_CPY_F32_F32].obj;
+        auto pipeline = ggml_metal_library_get_pipeline_cpy(lib, op->src[0]->type, op->type);
+
+        ggml_metal_kargs_cpy args = {
+            /*.nk0  =*/ ne00,
+            /*.ne00 =*/ ne00,
+            /*.ne01 =*/ ne01,
+            /*.ne02 =*/ ne02,
+            /*.ne03 =*/ ne03,
+            /*.nb00 =*/ nb00,
+            /*.nb01 =*/ nb01,
+            /*.nb02 =*/ nb02,
+            /*.nb03 =*/ nb03,
+            /*.ne0  =*/ ne0,
+            /*.ne1  =*/ ne1,
+            /*.ne2  =*/ ne2,
+            /*.ne3  =*/ ne3,
+            /*.nb0  =*/ nb0,
+            /*.nb1  =*/ nb1,
+            /*.nb2  =*/ nb2,
+            /*.nb3  =*/ nb3,
+        };
+
+        ggml_metal_encoder_set_pipeline(enc, pipeline);
+        ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args), 0);
+        ggml_metal_encoder_set_buffer  (enc, bid_src0, 1);
+        ggml_metal_encoder_set_buffer  (enc, bid_dst,  2);
+
+        const int nth = std::min(ggml_metal_pipeline_max_theads_per_threadgroup(pipeline), ne00);
+
+        ggml_metal_encoder_dispatch_threadgroups(enc, ne01, ne02, ne03, nth, 1, 1);
+
+        ggml_metal_op_concurrency_reset(ctx);
+    }
+
+    auto pipeline = ggml_metal_library_get_pipeline_cpy(lib, op->src[1]->type, op->type);
+
+    GGML_ASSERT(ne10 % ggml_blck_size(op->src[1]->type) == 0);
+
+    int64_t nk0 = ne10;
+    if (ggml_is_quantized(op->src[1]->type)) {
+        nk0 = ne10/16;
+    } else if (ggml_is_quantized(op->type)) {
+        nk0 = ne10/ggml_blck_size(op->type);
+    }
+
+    int nth = std::min<int>(nk0, ggml_metal_pipeline_max_theads_per_threadgroup(pipeline));
+
+    // when rows are small, we can batch them together in a single threadgroup
+    int nrptg = 1;
+
+    // TODO: relax this constraint in the future
+    if (ggml_blck_size(op->src[1]->type) == 1 && ggml_blck_size(op->type) == 1) {
+        if (nth > nk0) {
+            nrptg = (nth + nk0 - 1)/nk0;
+            nth   = nk0;
+
+            if (nrptg*nth > ggml_metal_pipeline_max_theads_per_threadgroup(pipeline)) {
+                nrptg--;
+            }
+        }
+    }
+
+    nth = std::min<int>(nth, nk0);
+
+    ggml_metal_kargs_cpy args = {
+        /*.nk0  =*/ nk0,
+        /*.ne00 =*/ ne10,
+        /*.ne01 =*/ ne11,
+        /*.ne02 =*/ ne12,
+        /*.ne03 =*/ ne13,
+        /*.nb00 =*/ nb10,
+        /*.nb01 =*/ nb11,
+        /*.nb02 =*/ nb12,
+        /*.nb03 =*/ nb13,
+        /*.ne0  =*/ ne10,
+        /*.ne1  =*/ ne11,
+        /*.ne2  =*/ ne12,
+        /*.ne3  =*/ ne13,
+        /*.nb0  =*/ ggml_element_size(op),
+        /*.nb1  =*/ pnb1,
+        /*.nb2  =*/ pnb2,
+        /*.nb3  =*/ pnb3,
+    };
+
+    const int nw0 = nrptg == 1 ? (nk0 + nth - 1)/nth : 1;
+
+    bid_dst.offs += offs;
+
+    ggml_metal_encoder_set_pipeline(enc, pipeline);
+    ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args), 0);
+    ggml_metal_encoder_set_buffer  (enc, bid_src1, 1);
+    ggml_metal_encoder_set_buffer  (enc, bid_dst,  2);
+
+    ggml_metal_encoder_dispatch_threadgroups(enc, nw0*(ne11 + nrptg - 1)/nrptg, ne12, ne13, nth, nrptg, 1);
+
+    return 1;
+}
+
 int ggml_metal_op_cpy(ggml_metal_op_t ctx, int idx) {
     ggml_tensor * op = ctx->node(idx);
 
@@ -1815,6 +2042,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) {
           (
            op->src[0]->type == GGML_TYPE_F32  || // TODO: helper function
            op->src[0]->type == GGML_TYPE_F16  ||
+           op->src[0]->type == GGML_TYPE_BF16 ||
            op->src[0]->type == GGML_TYPE_Q4_0 ||
            op->src[0]->type == GGML_TYPE_Q4_1 ||
            op->src[0]->type == GGML_TYPE_Q5_0 ||
@@ -1829,6 +2057,8 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) {
            op->src[0]->type == GGML_TYPE_Q4_K ||
            op->src[0]->type == GGML_TYPE_Q5_K ||
            op->src[0]->type == GGML_TYPE_Q6_K ||
+           op->src[0]->type == GGML_TYPE_Q2_K ||
+           op->src[0]->type == GGML_TYPE_Q3_K ||
            false) && (ne11 >= 4 && ne11 <= 8)
          )
         )
@@ -1857,7 +2087,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) {
         const int16_t r0ptg  = nypsg*nsg;         // num src0 rows per threadgroup
               int16_t r1ptg  = 4;                 // num src1 rows per threadgroup
 
-        // note: not sure how optimal are those across all different hardware. there might be someting cleverer
+        // note: not sure how optimal are those across all different hardware. there might be something cleverer
         switch (ne11) {
             case 2:
                 r1ptg = 2; break;
@@ -2950,9 +3180,7 @@ int ggml_metal_op_bin(ggml_metal_op_t ctx, int idx) {
     ggml_metal_encoder_set_buffer  (enc, bid_dst,  3);
 
     if (pipeline.cnt) {
-        const int n = pipeline.c4 ? ggml_nelements(op)/4 : ggml_nelements(op);
-
-        ggml_metal_encoder_dispatch_threadgroups(enc, n, 1, 1, 1, 1, 1);
+        ggml_metal_encoder_dispatch_threadgroups(enc, args.ne0, ggml_nrows(op), 1, 1, 1, 1);
     } else {
         const int nth_max = MIN(256, ggml_metal_pipeline_max_theads_per_threadgroup(pipeline));
 
@@ -3581,32 +3809,43 @@ int ggml_metal_op_upscale(ggml_metal_op_t ctx, int idx) {
     GGML_TENSOR_LOCALS( int32_t, ne,  op,         ne);
     GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
 
-    const float sf0 = (float)ne0/op->src[0]->ne[0];
-    const float sf1 = (float)ne1/op->src[0]->ne[1];
-    const float sf2 = (float)ne2/op->src[0]->ne[2];
-    const float sf3 = (float)ne3/op->src[0]->ne[3];
+    float sf0 = (float)ne0/op->src[0]->ne[0];
+    float sf1 = (float)ne1/op->src[0]->ne[1];
+    float sf2 = (float)ne2/op->src[0]->ne[2];
+    float sf3 = (float)ne3/op->src[0]->ne[3];
+
+    const int32_t mode_flags = ggml_get_op_params_i32(op, 0);
+
+    float poffs = 0.5f;
+
+    if (mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) {
+        poffs = 0.0f;
+        sf0 = ne0 > 1 && ne00 > 1 ? (float)(ne0 - 1) / (ne00 - 1) : sf0;
+        sf1 = ne1 > 1 && ne01 > 1 ? (float)(ne1 - 1) / (ne01 - 1) : sf1;
+    }
 
     ggml_metal_kargs_upscale args = {
-        /*.ne00 =*/ ne00,
-        /*.ne01 =*/ ne01,
-        /*.ne02 =*/ ne02,
-        /*.ne03 =*/ ne03,
-        /*.nb00 =*/ nb00,
-        /*.nb01 =*/ nb01,
-        /*.nb02 =*/ nb02,
-        /*.nb03 =*/ nb03,
-        /*.ne0 =*/ ne0,
-        /*.ne1 =*/ ne1,
-        /*.ne2 =*/ ne2,
-        /*.ne3 =*/ ne3,
-        /*.nb0 =*/ nb0,
-        /*.nb1 =*/ nb1,
-        /*.nb2 =*/ nb2,
-        /*.nb3 =*/ nb3,
-        /*.sf0 =*/ sf0,
-        /*.sf1 =*/ sf1,
-        /*.sf2 =*/ sf2,
-        /*.sf3 =*/ sf3
+        /*.ne00  =*/ ne00,
+        /*.ne01  =*/ ne01,
+        /*.ne02  =*/ ne02,
+        /*.ne03  =*/ ne03,
+        /*.nb00  =*/ nb00,
+        /*.nb01  =*/ nb01,
+        /*.nb02  =*/ nb02,
+        /*.nb03  =*/ nb03,
+        /*.ne0   =*/ ne0,
+        /*.ne1   =*/ ne1,
+        /*.ne2   =*/ ne2,
+        /*.ne3   =*/ ne3,
+        /*.nb0   =*/ nb0,
+        /*.nb1   =*/ nb1,
+        /*.nb2   =*/ nb2,
+        /*.nb3   =*/ nb3,
+        /*.sf0   =*/ sf0,
+        /*.sf1   =*/ sf1,
+        /*.sf2   =*/ sf2,
+        /*.sf3   =*/ sf3,
+        /*.poffs =*/ poffs,
     };
 
     auto pipeline = ggml_metal_library_get_pipeline_upscale(lib, op);
diff --git a/ggml/src/ggml-metal/ggml-metal-ops.h b/ggml/src/ggml-metal/ggml-metal-ops.h
index 29456d70d5e..019f2fec9ed 100644
--- a/ggml/src/ggml-metal/ggml-metal-ops.h
+++ b/ggml/src/ggml-metal/ggml-metal-ops.h
@@ -58,7 +58,9 @@ int ggml_metal_op_soft_max          (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_ssm_conv          (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_ssm_scan          (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_rwkv              (ggml_metal_op_t ctx, int idx);
+int ggml_metal_op_gated_delta_net   (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_solve_tri         (ggml_metal_op_t ctx, int idx);
+int ggml_metal_op_set               (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_cpy               (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_pool_1d           (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_pool_2d           (ggml_metal_op_t ctx, int idx);
diff --git a/ggml/src/ggml-metal/ggml-metal.cpp b/ggml/src/ggml-metal/ggml-metal.cpp
index 1c705362fb7..9382ce53b36 100644
--- a/ggml/src/ggml-metal/ggml-metal.cpp
+++ b/ggml/src/ggml-metal/ggml-metal.cpp
@@ -14,7 +14,7 @@
 #define GGML_METAL_MAX_DEVICES 16
 
 // number of Metal devices
-// note: can be overriden with GGML_METAL_DEVICES env to simulate virtual devices
+// note: can be overridden with GGML_METAL_DEVICES env to simulate virtual devices
 static int g_devices = 1;
 
 ////////////////////////////////////////////////////////////////////////////////
diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal
index 0036ba90ec9..d4b129ed756 100644
--- a/ggml/src/ggml-metal/ggml-metal.metal
+++ b/ggml/src/ggml-metal/ggml-metal.metal
@@ -77,6 +77,14 @@ static inline float dot(float x, float y) {
     return x*y;
 }
 
+static inline float sum(float x) {
+    return x;
+}
+
+static inline float sum(float4 x) {
+    return x[0] + x[1] + x[2] + x[3];
+}
+
 // NOTE: this is not dequantizing - we are simply fitting the template
 template <typename type4x4>
 void dequantize_f32(device const float4x4 * src, short il, thread type4x4 & reg) {
@@ -1103,6 +1111,7 @@ template [[host_name("kernel_unary_f16_f16_4")]] kernel kernel_unary_t kernel_un
 constant short FC_bin_op [[function_constant(FC_BIN + 0)]];
 constant short FC_bin_f  [[function_constant(FC_BIN + 1)]];
 constant bool  FC_bin_rb [[function_constant(FC_BIN + 2)]];
+constant bool  FC_bin_cb [[function_constant(FC_BIN + 3)]];
 
 template <typename T0, typename T1, typename T>
 kernel void kernel_bin_fuse_impl(
@@ -1116,11 +1125,12 @@ kernel void kernel_bin_fuse_impl(
 #define FC_OP FC_bin_op
 #define FC_F  FC_bin_f
 #define FC_RB FC_bin_rb
+#define FC_CB FC_bin_cb
 
     if (FC_RB) {
         // row broadcast
-        const uint i0 = tgpig.x;
-        const uint i1 = i0%args.ne10;
+        const uint i0 = tgpig.y*args.ne00 + tgpig.x;
+        const uint i1 = FC_CB ? tgpig.x%args.ne10 : tgpig.x;
 
         device const T0 * src0_row = (device const T0 *) (src0);
         device       T  * dst_row  = (device       T  *) (dst);
@@ -1192,7 +1202,7 @@ kernel void kernel_bin_fuse_impl(
             device const T1 * src1_ptr = (device const T1 *) (src1 + args.o1[0] + i13*args.nb13 + i12*args.nb12 + i11*args.nb11);
 
             for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
-                const int i10 = i0%args.ne10;
+                const int i10 = FC_CB ? i0%args.ne10 : i0;
 
                 if (FC_OP == 0) {
                     dst_ptr[i0] = src0_ptr[i0] + src1_ptr[i10];
@@ -1217,7 +1227,7 @@ kernel void kernel_bin_fuse_impl(
             }
 
             for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
-                const int i10 = i0%args.ne10;
+                const int i10 = FC_CB ? i0%args.ne10 : i0;
 
                 T res = src0_ptr[i0];
 
@@ -1253,6 +1263,7 @@ kernel void kernel_bin_fuse_impl(
 #undef FC_OP
 #undef FC_F
 #undef FC_RB
+#undef FC_CB
 }
 
 typedef decltype(kernel_bin_fuse_impl<float, float, float>) kernel_bin_fuse_t;
@@ -1501,33 +1512,35 @@ kernel void kernel_op_sum_f32(
     }
 }
 
-template <bool norm>
-kernel void kernel_sum_rows(
+constant short FC_sum_rows_op [[function_constant(FC_SUM_ROWS + 0)]];
+
+template <typename T0, typename T>
+kernel void kernel_sum_rows_impl(
         constant ggml_metal_kargs_sum_rows & args,
-        device const float * src0,
-        device       float * dst,
-        threadgroup  float * shmem_f32 [[threadgroup(0)]],
+        device const char * src0,
+        device       char * dst,
+        threadgroup  char * shmem [[threadgroup(0)]],
         uint3   tgpig[[threadgroup_position_in_grid]],
         ushort3 tpitg[[thread_position_in_threadgroup]],
         ushort  sgitg[[simdgroup_index_in_threadgroup]],
         ushort  tiisg[[thread_index_in_simdgroup]],
         ushort3   ntg[[threads_per_threadgroup]]) {
-    int64_t i3 = tgpig.z;
-    int64_t i2 = tgpig.y;
-    int64_t i1 = tgpig.x;
+#define FC_OP  FC_sum_rows_op
 
-    if (i3 >= args.ne03 || i2 >= args.ne02 || i1 >= args.ne01) {
-        return;
-    }
+    const int i3 = tgpig.z;
+    const int i2 = tgpig.y;
+    const int i1 = tgpig.x;
+
+    threadgroup T0 * shmem_t = (threadgroup T0 *) shmem;
 
     if (sgitg == 0) {
-        shmem_f32[tiisg] = 0.0f;
+        shmem_t[tiisg] = 0.0f;
     }
 
-    device const float * src_row = (device const float *) ((device const char *) src0 + i1*args.nb01 + i2*args.nb02 + i3*args.nb03);
-    device       float * dst_row = (device       float *) ((device       char *) dst  + i1*args.nb1  + i2*args.nb2  + i3*args.nb3);
+    device const T0 * src_row = (device const T0 *) (src0 + i1*args.nb01 + i2*args.nb02 + i3*args.nb03);
+    device       T  * dst_row = (device       T  *) (dst  + i1*args.nb1  + i2*args.nb2  + i3*args.nb3);
 
-    float sumf = 0;
+    T0 sumf = T0(0.0f);
 
     for (int64_t i0 = tpitg.x; i0 < args.ne00; i0 += ntg.x) {
         sumf += src_row[i0];
@@ -1538,23 +1551,33 @@ kernel void kernel_sum_rows(
     threadgroup_barrier(mem_flags::mem_threadgroup);
 
     if (tiisg == 0) {
-        shmem_f32[sgitg] = sumf;
+        shmem_t[sgitg] = sumf;
     }
 
     threadgroup_barrier(mem_flags::mem_threadgroup);
 
-    sumf = shmem_f32[tiisg];
+    sumf = shmem_t[tiisg];
     sumf = simd_sum(sumf);
 
     if (tpitg.x == 0) {
-        dst_row[0] = norm ? sumf / args.ne00 : sumf;
+        if (FC_OP == OP_SUM_ROWS_NUM_MEAN) {
+            if (is_same<float4, T0>::value) {
+                dst_row[0] = sum(sumf) / (4*args.ne00);
+            } else {
+                dst_row[0] = sum(sumf) / args.ne00;
+            }
+        } else {
+            dst_row[0] = sum(sumf);
+        }
     }
+
+#undef FC_OP
 }
 
-typedef decltype(kernel_sum_rows<false>) kernel_sum_rows_t;
+typedef decltype(kernel_sum_rows_impl<float, float>) kernel_sum_rows_t;
 
-template [[host_name("kernel_sum_rows_f32")]] kernel kernel_sum_rows_t kernel_sum_rows<false>;
-template [[host_name("kernel_mean_f32")]]     kernel kernel_sum_rows_t kernel_sum_rows<true>;
+template [[host_name("kernel_sum_rows_f32_f32")]]   kernel kernel_sum_rows_t kernel_sum_rows_impl<float,  float>;
+template [[host_name("kernel_sum_rows_f32_f32_4")]] kernel kernel_sum_rows_t kernel_sum_rows_impl<float4, float>;
 
 template<typename T>
 kernel void kernel_cumsum_blk(
@@ -2414,6 +2437,228 @@ kernel void kernel_rwkv_wkv7_f32(
     }
 }
 
+constant short FC_gated_delta_net_ne20 [[function_constant(FC_GATED_DELTA_NET + 0)]];
+constant short FC_gated_delta_net_ne30 [[function_constant(FC_GATED_DELTA_NET + 1)]];
+
+#if 1
+template<short NSG>
+kernel void kernel_gated_delta_net_impl(
+        constant ggml_metal_kargs_gated_delta_net & args,
+        device const char * q,
+        device const char * k,
+        device const char * v,
+        device const char * g,
+        device const char * b,
+        device const char * s,
+        device       char * dst,
+        uint3 tgpig[[threadgroup_position_in_grid]],
+        uint3 tpitg[[thread_position_in_threadgroup]],
+        uint3   ntg[[threads_per_threadgroup]])  {
+#define S_v FC_gated_delta_net_ne20
+#define G   FC_gated_delta_net_ne30
+
+    const uint tx = tpitg.x;
+    const uint ty = tpitg.y;
+
+    const uint i23 = tgpig.z; // B
+    const uint i21 = tgpig.y; // H
+    const uint i20 = tgpig.x*NSG + ty;
+
+    const uint i01 = i21 % args.ne01;
+    const uint i11 = i21 % args.ne11;
+
+    const float scale = 1.0f / sqrt((float)S_v);
+
+    // state is stored transposed: M[i20][is] = S[is][i20], so row i20 is contiguous
+    device const float * s_ptr = (device const float *) (s) + (i23*args.ne21 + i21)*S_v*S_v + i20*S_v;
+
+    float ls[NSG];
+
+    FOR_UNROLL (short j = 0; j < NSG; j++) {
+        const short is = tx*NSG + j;
+        ls[j] = s_ptr[is];
+    }
+
+    device float * dst_attn = (device float *) (dst) + (i23*args.ne22*args.ne21 + i21)*S_v + i20;
+
+    device const float * q_ptr = (device const float *) (q + i23*args.nb03 + i01*args.nb01);
+    device const float * k_ptr = (device const float *) (k + i23*args.nb13 + i11*args.nb11);
+    device const float * v_ptr = (device const float *) (v + i23*args.nb23 + i21*args.nb21);
+
+    device const float * b_ptr = (device const float *) (b) + (i23*args.ne22*args.ne21 + i21);
+    device const float * g_ptr = (device const float *) (g) + (i23*args.ne22*args.ne21 + i21)*G;
+
+    for (short t = 0; t < args.ne22; t++) {
+        float s_k = 0.0f;
+
+        if (G == 1) {
+            const float g_exp = exp(g_ptr[0]);
+
+            FOR_UNROLL (short j = 0; j < NSG; j++) {
+                const short is = tx*NSG + j;
+                ls[j] *= g_exp;
+
+                s_k += ls[j]*k_ptr[is];
+            }
+        } else {
+            // KDA
+            FOR_UNROLL (short j = 0; j < NSG; j++) {
+                const short is = tx*NSG + j;
+                ls[j] *= exp(g_ptr[is]);
+
+                s_k += ls[j]*k_ptr[is];
+            }
+        }
+
+        s_k = simd_sum(s_k);
+
+        const float d = (v_ptr[i20] - s_k)*b_ptr[0];
+
+        float y = 0.0f;
+
+        FOR_UNROLL (short j = 0; j < NSG; j++) {
+            const short is = tx*NSG + j;
+            ls[j] += k_ptr[is]*d;
+
+            y += ls[j]*q_ptr[is];
+        }
+
+        y = simd_sum(y);
+
+        if (tx == 0) {
+            dst_attn[t*args.ne21*S_v] = y*scale;
+        }
+
+        q_ptr += args.ns02;
+        k_ptr += args.ns12;
+        v_ptr += args.ns22;
+
+        b_ptr += args.ne21;
+        g_ptr += args.ne21*G;
+    }
+
+    device float * dst_state = (device float *) (dst) + args.ne23*args.ne22*args.ne21*S_v + (i23*args.ne21 + i21)*S_v*S_v + i20*S_v;
+
+    FOR_UNROLL (short j = 0; j < NSG; j++) {
+        const short is = tx*NSG + j;
+        dst_state[is] = ls[j];
+    }
+
+#undef S_v
+#undef G
+}
+
+typedef decltype(kernel_gated_delta_net_impl<4>) kernel_gated_delta_net_t;
+
+template [[host_name("kernel_gated_delta_net_f32_1")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<1>;
+template [[host_name("kernel_gated_delta_net_f32_2")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<2>;
+template [[host_name("kernel_gated_delta_net_f32_4")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<4>;
+
+#else
+// a simplified version of the above
+// no performance improvement, so keep the above version for now
+
+template<typename T, short NSG>
+kernel void kernel_gated_delta_net_impl(
+        constant ggml_metal_kargs_gated_delta_net & args,
+        device const char * q,
+        device const char * k,
+        device const char * v,
+        device const char * g,
+        device const char * b,
+        device const char * s,
+        device       char * dst,
+        uint3 tgpig[[threadgroup_position_in_grid]],
+        uint3 tpitg[[thread_position_in_threadgroup]],
+        uint3   ntg[[threads_per_threadgroup]])  {
+#define S_v FC_gated_delta_net_ne20
+#define G   FC_gated_delta_net_ne30
+
+    const uint tx = tpitg.x;
+    const uint ty = tpitg.y;
+
+    const uint i23 = tgpig.z; // B
+    const uint i21 = tgpig.y; // H
+    const uint i20 = tgpig.x*NSG + ty;
+
+    const uint i01 = i21 % args.ne01;
+    const uint i11 = i21 % args.ne11;
+
+    const float scale = 1.0f / sqrt((float)S_v);
+
+    device const float * s_ptr = (device const float *) (s) + (i23*args.ne21 + i21)*S_v*S_v + i20;
+
+    float lsf[NSG];
+
+    FOR_UNROLL (short j = 0; j < NSG; j++) {
+        const short is = tx*NSG + j;
+        lsf[j] = s_ptr[is*S_v];
+    }
+
+    thread T * ls = (thread T *) (lsf);
+
+    device float * dst_attn = (device float *) (dst) + (i23*args.ne22*args.ne21 + i21)*S_v + i20;
+
+    device const float * q_ptr = (device const float *) (q + i23*args.nb03 + i01*args.nb01);
+    device const float * k_ptr = (device const float *) (k + i23*args.nb13 + i11*args.nb11);
+    device const float * v_ptr = (device const float *) (v + i23*args.nb23 + i21*args.nb21);
+
+    device const float * b_ptr  = (device const float *) (b) + (i23*args.ne22*args.ne21 + i21);
+    device const float * g_ptr  = (device const float *) (g) + (i23*args.ne22*args.ne21 + i21)*G;
+
+    for (short t = 0; t < args.ne22; t++) {
+        device const T * qt_ptr = (device const T *) (q_ptr);
+        device const T * kt_ptr = (device const T *) (k_ptr);
+        device const T * gt_ptr = (device const T *) (g_ptr);
+
+        if (G == 1) {
+            *ls *= exp(g_ptr[0]);
+        } else {
+            // KDA
+            *ls *= exp(gt_ptr[tx]);
+        }
+
+        const float s_k = simd_sum(dot(*ls, kt_ptr[tx]));
+
+        const float d = (v_ptr[i20] - s_k)*b_ptr[0];
+
+        *ls += kt_ptr[tx]*d;
+
+        const float y = simd_sum(dot(*ls, qt_ptr[tx]));
+
+        if (tx == 0) {
+            *dst_attn = y*scale;
+        }
+
+        q_ptr += args.ns02;
+        k_ptr += args.ns12;
+        v_ptr += args.ns22;
+
+        b_ptr += args.ne21;
+        g_ptr += args.ne21*G;
+
+        dst_attn += args.ne21*S_v;
+    }
+
+    device float * dst_state  = (device float *) (dst) + args.ne23*args.ne22*args.ne21*S_v + (i23*args.ne21 + i21)*S_v*S_v + i20;
+    device T     * dstt_state = (device T     *) (dst_state);
+
+    FOR_UNROLL (short j = 0; j < NSG; j++) {
+        const short is = tx*NSG + j;
+        dst_state[is*S_v] = lsf[j];
+    }
+
+#undef S_v
+#undef G
+}
+
+typedef decltype(kernel_gated_delta_net_impl<float4, 4>) kernel_gated_delta_net_t;
+
+template [[host_name("kernel_gated_delta_net_f32_1")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<float,  1>;
+template [[host_name("kernel_gated_delta_net_f32_2")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<float2, 2>;
+template [[host_name("kernel_gated_delta_net_f32_4")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<float4, 4>;
+#endif
+
 constant short FC_solve_tri_nsg [[function_constant(FC_SOLVE_TRI + 0)]];
 constant short FC_solve_tri_n   [[function_constant(FC_SOLVE_TRI + 1)]];
 constant short FC_solve_tri_k   [[function_constant(FC_SOLVE_TRI + 2)]];
@@ -2435,9 +2680,6 @@ kernel void kernel_solve_tri_f32(
     const short K   = FC_solve_tri_k;
     const short NP  = PAD2(N, NW);
 
-    const int32_t ne02 = args.ne02;
-    const int32_t ne03 = args.ne03;
-
     const int32_t i03 = tgpig.z;
     const int32_t i02 = tgpig.y;
     const int32_t i01 = tgpig.x*NSG + sgitg;
@@ -2765,7 +3007,7 @@ kernel void kernel_l2_norm_impl(
     sumf = shmem_f32[tiisg];
     sumf = simd_sum(sumf);
 
-    const float scale = 1.0f/sqrt(max(sumf, args.eps));
+    const float scale = 1.0f/max(sqrt(sumf), args.eps);
 
     for (int i00 = tpitg.x; i00 < args.ne00; i00 += ntg.x) {
         y[i00] = x[i00] * scale;
@@ -3464,6 +3706,13 @@ template [[host_name("kernel_mul_mv_ext_f16_f32_r1_3")]]    kernel mul_mv_ext_q4
 template [[host_name("kernel_mul_mv_ext_f16_f32_r1_4")]]    kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, half4,        4,  dequantize_f16_t4>;
 template [[host_name("kernel_mul_mv_ext_f16_f32_r1_5")]]    kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, half4,        4,  dequantize_f16_t4>;
 
+#if defined(GGML_METAL_HAS_BF16)
+template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_2")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, bfloat4,      4,  dequantize_bf16_t4>;
+template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_3")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, bfloat4,      4,  dequantize_bf16_t4>;
+template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_4")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, bfloat4,      4,  dequantize_bf16_t4>;
+template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_5")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, bfloat4,      4,  dequantize_bf16_t4>;
+#endif
+
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_2")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q4_0,   32, dequantize_q4_0_t4>;
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_3")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q4_0,   32, dequantize_q4_0_t4>;
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_4")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q4_0,   32, dequantize_q4_0_t4>;
@@ -3514,6 +3763,16 @@ template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_3")]] kernel mul_mv_ext_q4x4
 template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q6_K, 256, dequantize_q6_K>;
 template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q6_K, 256, dequantize_q6_K>;
 
+template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_2")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<2, block_q2_K, 256, dequantize_q2_K>;
+template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_3")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<3, block_q2_K, 256, dequantize_q2_K>;
+template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q2_K, 256, dequantize_q2_K>;
+template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q2_K, 256, dequantize_q2_K>;
+
+template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_2")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<2, block_q3_K, 256, dequantize_q3_K>;
+template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_3")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<3, block_q3_K, 256, dequantize_q3_K>;
+template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q3_K, 256, dequantize_q3_K>;
+template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q3_K, 256, dequantize_q3_K>;
+
 template<typename T0, typename T1, short NR0, typename args_t>
 void kernel_mul_mv_t_t_impl(
         args_t args,
@@ -4201,7 +4460,7 @@ kernel void kernel_im2col(
 template [[host_name("kernel_im2col_f32")]] kernel im2col_t kernel_im2col<float>;
 template [[host_name("kernel_im2col_f16")]] kernel im2col_t kernel_im2col<half>;
 
-// TODO: obolete -- remove
+// TODO: obsolete -- remove
 //typedef void (im2col_ext_t)(
 //        constant ggml_metal_kargs_im2col & args,
 //        device const float * x,
@@ -4513,7 +4772,9 @@ kernel void kernel_conv_transpose_2d<half>(
     uint3   tpitg[[thread_position_in_threadgroup]],
     uint3     ntg[[threads_per_threadgroup]]);
 
-kernel void kernel_upscale_f32(
+constant bool FC_upscale_aa [[function_constant(FC_UPSCALE + 0)]];
+
+kernel void kernel_upscale_nearest_f32(
     constant ggml_metal_kargs_upscale & args,
     device  const char * src0,
     device        char * dst,
@@ -4539,6 +4800,156 @@ kernel void kernel_upscale_f32(
     }
 }
 
+static inline float bilinear_tri(float x) {
+    return MAX(0.0f, 1.0f - fabs(x));
+}
+
+kernel void kernel_upscale_bilinear_f32(
+    constant ggml_metal_kargs_upscale & args,
+    device  const char * src0,
+    device        char * dst,
+    uint3 tgpig[[threadgroup_position_in_grid]],
+    uint3 tpitg[[thread_position_in_threadgroup]],
+    uint3   ntg[[threads_per_threadgroup]]) {
+
+    const int64_t i3 = tgpig.z;
+    const int64_t i2 = tgpig.y;
+    const int64_t i1 = tgpig.x;
+
+    const int64_t i03 = i3 / args.sf3;
+    const int64_t i02 = i2 / args.sf2;
+
+    const float   f01  = ((float)i1 + args.poffs) / args.sf1 - args.poffs;
+    const int64_t i01  = MAX(0, MIN(args.ne01 - 1, (int64_t)floor(f01)));
+    const int64_t i01p = MAX(0, MIN(args.ne01 - 1, i01 + 1));
+    const float   fd1  = MAX(0.0f, MIN(1.0f, f01 - (float)i01));
+
+    src0 += i03*args.nb03 + i02*args.nb02;
+
+    device float * dst_ptr = (device float *)(dst + i3*args.nb3 + i2*args.nb2 + i1*args.nb1);
+
+    if (FC_upscale_aa) {
+        const float support0  = MAX(1.0f, 1.0f / args.sf0);
+        const float invscale0 = 1.0f / support0;
+        const float support1  = MAX(1.0f, 1.0f / args.sf1);
+        const float invscale1 = 1.0f / support1;
+
+        for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
+            const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs;
+
+            int64_t x_min = MAX((int64_t)0, (int64_t)floor(f00 - support0 + args.poffs));
+            int64_t x_max = MIN(args.ne00,  (int64_t)ceil (f00 + support0 + args.poffs));
+
+            int64_t y_min = MAX((int64_t)0, (int64_t)floor(f01 - support1 + args.poffs));
+            int64_t y_max = MIN(args.ne01,  (int64_t)ceil (f01 + support1 + args.poffs));
+
+            float sum = 0.0f;
+            float wsum = 0.0f;
+
+            for (int64_t sy = y_min; sy < y_max; ++sy) {
+                const float wy = MAX(0.0f, 1.0f - fabs((float)sy - f01) * invscale1);
+                for (int64_t sx = x_min; sx < x_max; ++sx) {
+                    const float wx = MAX(0.0f, 1.0f - fabs((float)sx - f00) * invscale0);
+                    const float w  = wx * wy;
+                    const device const float * src_ptr = (device const float *)(src0 + sy*args.nb01 + sx*args.nb00);
+                    sum  += (*src_ptr) * w;
+                    wsum += w;
+                }
+            }
+
+            const float v = (wsum > 0.0f) ? (sum / wsum) : 0.0f;
+            dst_ptr[i0] = v;
+        }
+    } else {
+        for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
+            const float   f00  = ((float)i0 + args.poffs) / args.sf0 - args.poffs;
+            const int64_t i00  = MAX(0, MIN(args.ne00 - 1, (int64_t)floor(f00)));
+            const int64_t i00p = MAX(0, MIN(args.ne00 - 1, i00 + 1));
+            const float   fd0  = MAX(0.0f, MIN(1.0f, f00 - (float)i00));
+
+            device const float * src00 = (device const float *)(src0 + i01*args.nb01  + i00*args.nb00);
+            device const float * src10 = (device const float *)(src0 + i01*args.nb01  + i00p*args.nb00);
+            device const float * src01 = (device const float *)(src0 + i01p*args.nb01 + i00*args.nb00);
+            device const float * src11 = (device const float *)(src0 + i01p*args.nb01 + i00p*args.nb00);
+
+            const float v =
+                (*src00) * (1.0f - fd0) * (1.0f - fd1) +
+                (*src10) * fd0          * (1.0f - fd1) +
+                (*src01) * (1.0f - fd0) * fd1 +
+                (*src11) * fd0          * fd1;
+
+            dst_ptr[i0] = v;
+        }
+    }
+}
+
+static inline float bicubic_weight1(float x) {
+    const float a = -0.75f;
+    return ((a + 2) * x - (a + 3)) * x * x + 1;
+}
+
+static inline float bicubic_weight2(float x) {
+    const float a = -0.75f;
+    return ((a * x - 5 * a) * x + 8 * a) * x - 4 * a;
+}
+
+kernel void kernel_upscale_bicubic_f32(
+    constant ggml_metal_kargs_upscale & args,
+    device  const char * src0,
+    device        char * dst,
+    uint3 tgpig[[threadgroup_position_in_grid]],
+    uint3 tpitg[[thread_position_in_threadgroup]],
+    uint3   ntg[[threads_per_threadgroup]]) {
+
+    const int64_t i3 = tgpig.z;
+    const int64_t i2 = tgpig.y;
+    const int64_t i1 = tgpig.x;
+
+    const int64_t i03 = i3 / args.sf3;
+    const int64_t i02 = i2 / args.sf2;
+
+    const float   f01 = ((float)i1 + args.poffs) / args.sf1 - args.poffs;
+    const int64_t i01 = (int64_t)floor(f01);
+    const float   fd1 = f01 - (float)i01;
+
+    const float w_y0 = bicubic_weight2(fd1 + 1.0f);
+    const float w_y1 = bicubic_weight1(fd1);
+    const float w_y2 = bicubic_weight1(1.0f - fd1);
+    const float w_y3 = bicubic_weight2(2.0f - fd1);
+
+    const device const char * src_slice = src0 + i03 * args.nb03 + i02 * args.nb02;
+
+    device float * dst_ptr = (device float *)(dst + i3 * args.nb3 + i2 * args.nb2 + i1 * args.nb1);
+
+    for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
+        const float   f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs;
+        const int64_t i00 = (int64_t)floor(f00);
+        const float   fd0 = f00 - (float)i00;
+
+        const float w_x0 = bicubic_weight2(fd0 + 1.0f);
+        const float w_x1 = bicubic_weight1(fd0);
+        const float w_x2 = bicubic_weight1(1.0f - fd0);
+        const float w_x3 = bicubic_weight2(2.0f - fd0);
+
+        float sum = 0.0f;
+
+        for (int dy = -1; dy <= 2; ++dy) {
+            const int64_t iy = MAX(0, MIN(args.ne01 - 1, i01 + dy));
+            const float wy = (dy == -1) ? w_y0 : (dy == 0) ? w_y1 : (dy == 1) ? w_y2 : w_y3;
+
+            for (int dx = -1; dx <= 2; ++dx) {
+                const int64_t ix = MAX(0, MIN(args.ne00 - 1, i00 + dx));
+                const float wx = (dx == -1) ? w_x0 : (dx == 0) ? w_x1 : (dx == 1) ? w_x2 : w_x3;
+
+                const device const float * src_ptr = (device const float *)(src_slice + iy * args.nb01 + ix * args.nb00);
+                sum += (*src_ptr) * wx * wy;
+            }
+        }
+
+        dst_ptr[i0] = sum;
+    }
+}
+
 kernel void kernel_pad_f32(
     constant ggml_metal_kargs_pad & args,
     device  const char * src0,
@@ -5949,7 +6360,7 @@ kernel void kernel_flash_attn_ext_vec(
     static_assert(DK4 % NL == 0, "DK4 must be divisible by NL");
     static_assert(DV4 % NL == 0, "DV4 must be divisible by NL");
 
-    const short T = PK + NSG*SH; // shared memory size per query in (half)
+  //const short T = PK + NSG*SH; // shared memory size per query in (half)
 
   //threadgroup q_t   * sq  = (threadgroup q_t   *) (shmem_f16 +                      0*PK); // holds the query data
     threadgroup q4_t  * sq4 = (threadgroup q4_t  *) (shmem_f16 +                      0*PK); // same as above but in q4_t
@@ -8537,7 +8948,9 @@ kernel void kernel_mul_mm(
     threadgroup S0 * sa = (threadgroup S0 *)(shmem);
     threadgroup S1 * sb = (threadgroup S1 *)(shmem + 4096);
 
+#ifdef GGML_METAL_HAS_TENSOR
     threadgroup float * sc = (threadgroup float *)(shmem);
+#endif
 
     constexpr int NR0 = 64;
     constexpr int NR1 = 32;
@@ -8660,8 +9073,8 @@ kernel void kernel_mul_mm(
             const short sx = (tiitg%NL1);
             const short sy = (tiitg/NL1)/8;
 
-            const short dx = sx;
-            const short dy = sy;
+          //const short dx = sx;
+          //const short dy = sy;
 
             const short ly = (tiitg/NL1)%8;
 
@@ -8893,6 +9306,7 @@ template [[host_name("kernel_mul_mm_id_map0_ne20_6" )]] kernel kernel_mul_mm_id_
 template [[host_name("kernel_mul_mm_id_map0_ne20_8" )]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<8>;
 template [[host_name("kernel_mul_mm_id_map0_ne20_10")]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<10>;
 template [[host_name("kernel_mul_mm_id_map0_ne20_16")]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<16>;
+template [[host_name("kernel_mul_mm_id_map0_ne20_22")]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<22>;
 
 template<typename S0, typename S0_4x4, typename S0_8x8, typename S1, typename S1_2x4, typename S1_8x8, typename block_q, short nl, void (*dequantize_func)(device const block_q *, short, thread S0_4x4 &), typename T0, typename T0_4x4, typename T1, typename T1_2x4>
 kernel void kernel_mul_mm_id(
@@ -8910,7 +9324,9 @@ kernel void kernel_mul_mm_id(
     threadgroup S0 * sa = (threadgroup S0 *)(shmem);
     threadgroup S1 * sb = (threadgroup S1 *)(shmem + 4096);
 
+#ifdef GGML_METAL_HAS_TENSOR
     threadgroup float * sc = (threadgroup float *)(shmem);
+#endif
 
     constexpr int NR0 = 64;
     constexpr int NR1 = 32;
@@ -9045,8 +9461,8 @@ kernel void kernel_mul_mm_id(
             const short sx = (tiitg%NL1);
             const short sy = (tiitg/NL1)/8;
 
-            const short dx = sx;
-            const short dy = sy;
+          //const short dx = sx;
+          //const short dy = sy;
 
             const short ly = (tiitg/NL1)%8;
 
diff --git a/ggml/src/ggml-opencl/CMakeLists.txt b/ggml/src/ggml-opencl/CMakeLists.txt
index b6094fb68b0..1f8250934b0 100644
--- a/ggml/src/ggml-opencl/CMakeLists.txt
+++ b/ggml/src/ggml-opencl/CMakeLists.txt
@@ -63,6 +63,7 @@ set(GGML_OPENCL_KERNELS
     cpy
     cvt
     diag_mask_inf
+    diag
     div
     gelu
     gemv_noshuffle_general
@@ -85,6 +86,8 @@ set(GGML_OPENCL_KERNELS
     mul_mv_q4_0_f32_8x_flat
     mul_mv_q4_0_f32_1d_8x_flat
     mul_mv_q4_0_f32_1d_16x_flat
+    mul_mv_q4_1_f32
+    mul_mv_q4_1_f32_flat
     mul_mv_q4_k_f32
     mul_mv_q6_k_f32
     mul_mv_q6_k_f32_flat
@@ -101,13 +104,19 @@ set(GGML_OPENCL_KERNELS
     gemv_moe_mxfp4_f32
     mul_mm_f32_f32_l4_lm
     mul_mm_f16_f32_l4_lm
+    mul_mm_q4_0_f32_l4_lm
+    mul_mm_q4_1_f32_l4_lm
     mul_mm_q8_0_f32_l4_lm
     mul_mm_q6_k_f32_l4_lm
     mul_mm_q8_0_f32_8x4
+    gemv_noshuffle_q4_1_f32
+    gemm_noshuffle_q4_1_f32
     gemv_noshuffle_general_q8_0_f32
     mul
+    neg
     norm
     relu
+    l2_norm
     rms_norm
     rope
     scale
@@ -123,11 +132,13 @@ set(GGML_OPENCL_KERNELS
     ssm_conv
     sub
     sum_rows
+    cumsum
     transpose
     concat
     tsembd
     upscale
     tanh
+    exp
     expm1
     softplus
     pad
diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp
index 40474c193bb..e1dca6b4b4d 100644
--- a/ggml/src/ggml-opencl/ggml-opencl.cpp
+++ b/ggml/src/ggml-opencl/ggml-opencl.cpp
@@ -313,7 +313,7 @@ struct ProfilingInfo {
     cl_ulong cmd_duration_ns;
     // The time for the kernel to complete - COMPLETE - END
     cl_ulong cmd_complete_duration_ns;
-    // Total time to finish the kernel - COMPELTE - QUEUED
+    // Total time to finish the kernel - COMPLETE - QUEUED
     cl_ulong cmd_total_duration_ns;
     // Global and local work sizes.
     size_t global_size[3];
@@ -416,7 +416,6 @@ struct ggml_backend_opencl_context {
     cl_program program_add;
     cl_program program_add_id;
     cl_program program_clamp;
-    cl_program program_cpy;
     cl_program program_cvt;
     cl_program program_diag_mask_inf;
     cl_program program_gelu;
@@ -484,7 +483,7 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_scale_f32, kernel_scale_f32_4;
     cl_kernel kernel_sqr_cont_f32, kernel_sqr_cont_f32_4, kernel_sqr_cont_f16, kernel_sqr_cont_f16_4;
     cl_kernel kernel_sqrt_cont_f32, kernel_sqrt_cont_f32_4, kernel_sqrt_cont_f16, kernel_sqrt_cont_f16_4;
-    cl_kernel kernel_mean_f32;
+    cl_kernel kernel_mean_f32, kernel_mean_f32_4;
     cl_kernel kernel_silu, kernel_silu_4;
     cl_kernel kernel_gelu, kernel_gelu_4;
     cl_kernel kernel_gelu_erf, kernel_gelu_erf_4;
@@ -498,8 +497,10 @@ struct ggml_backend_opencl_context {
               kernel_geglu_f16, kernel_reglu_f16, kernel_swiglu_f16, kernel_geglu_erf_f16, kernel_geglu_quick_f16;
     cl_kernel kernel_norm, kernel_norm_mul_add;
     cl_kernel kernel_rms_norm, kernel_rms_norm_mul;
+    cl_kernel kernel_l2_norm_f32;
     cl_kernel kernel_group_norm, kernel_group_norm_mul_add;
     cl_kernel kernel_diag_mask_inf, kernel_diag_mask_inf_8;
+    cl_kernel kernel_diag_f32;
     cl_kernel kernel_soft_max, kernel_soft_max_4;
     cl_kernel kernel_soft_max_f16, kernel_soft_max_4_f16;
     std::map<std::pair<int, int>, cl_kernel> kernels_flash_attn_f16;
@@ -514,7 +515,7 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_set_rows_f32_i64, kernel_set_rows_f32_i32, kernel_set_rows_f16_i64, kernel_set_rows_f16_i32;
     cl_kernel kernel_rope_norm_f32, kernel_rope_norm_f16, kernel_rope_neox_f32, kernel_rope_neox_f16;
     cl_kernel kernel_rope_multi_f32, kernel_rope_multi_f16, kernel_rope_vision_f32, kernel_rope_vision_f16;
-    cl_kernel kernel_cpy_f16_f16, kernel_cpy_f16_f32, kernel_cpy_f32_f16, kernel_cpy_f32_f32;
+    cl_kernel kernel_cpy_f16_f16, kernel_cpy_f16_f32, kernel_cpy_f32_f16, kernel_cpy_f32_f32, kernel_cpy_i32_i32;
     cl_kernel kernel_mul_mat_f32_f32;
     cl_kernel kernel_mul_mat_f16_f16;
     cl_kernel kernel_mul_mat_f16_f32_1row;
@@ -525,13 +526,18 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_mul_mm_f16_f32_kq;
     cl_kernel kernel_mul_mat_q4_0_f32, kernel_mul_mat_q4_0_f32_v;
     cl_kernel kernel_convert_block_q4_0, kernel_restore_block_q4_0;
+    cl_kernel kernel_convert_block_q4_1, kernel_restore_block_q4_1;
     cl_kernel kernel_convert_block_mxfp4, kernel_convert_block_mxfp4_trans, kernel_restore_block_mxfp4, kernel_restore_block_mxfp4_trans;
     cl_kernel kernel_convert_block_q8_0, kernel_restore_block_q8_0, kernel_restore_block_q8_0_trans;
     cl_kernel kernel_mul_mat_q4_0_f32_8x_flat;
     cl_kernel kernel_convert_block_q4_0_noshuffle;
     cl_kernel kernel_restore_block_q4_0_noshuffle;
+    cl_kernel kernel_convert_block_q4_1_noshuffle;
+    cl_kernel kernel_restore_block_q4_1_noshuffle;
     cl_kernel kernel_convert_block_q6_K, kernel_restore_block_q6_K;
     cl_kernel kernel_mul_mat_q4_0_f32_1d_8x_flat, kernel_mul_mat_q4_0_f32_1d_16x_flat;
+    cl_kernel kernel_mul_mv_q4_1_f32;
+    cl_kernel kernel_mul_mv_q4_1_f32_flat;
     cl_kernel kernel_mul_mv_q4_K_f32;
     cl_kernel kernel_mul_mv_q6_K_f32;
     cl_kernel kernel_mul_mv_q6_K_f32_flat;
@@ -540,15 +546,20 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_solve_tri_f32;
     cl_kernel kernel_im2col_f32, kernel_im2col_f16;
     cl_kernel kernel_argsort_f32_i32;
-    cl_kernel kernel_sum_rows_f32;
+    cl_kernel kernel_sum_rows_f32, kernel_sum_rows_f32_4;
+    cl_kernel kernel_cumsum_blk, kernel_cumsum_add;
     cl_kernel kernel_repeat_f32;
     cl_kernel kernel_pad;
     cl_kernel kernel_tanh_f32, kernel_tanh_f32_4, kernel_tanh_f32_nc;
     cl_kernel kernel_tanh_f16, kernel_tanh_f16_4, kernel_tanh_f16_nc;
-    cl_kernel kernel_expm1_f32_nd;
-    cl_kernel kernel_expm1_f16_nd;
-    cl_kernel kernel_softplus_f32_nd;
-    cl_kernel kernel_softplus_f16_nd;
+    cl_kernel kernel_neg_f32, kernel_neg_f32_4, kernel_neg_f32_nc;
+    cl_kernel kernel_neg_f16, kernel_neg_f16_4, kernel_neg_f16_nc;
+    cl_kernel kernel_exp_f32, kernel_exp_f32_4, kernel_exp_f32_nc;
+    cl_kernel kernel_exp_f16, kernel_exp_f16_4, kernel_exp_f16_nc;
+    cl_kernel kernel_expm1_f32, kernel_expm1_f32_4, kernel_expm1_f32_nc;
+    cl_kernel kernel_expm1_f16, kernel_expm1_f16_4, kernel_expm1_f16_nc;
+    cl_kernel kernel_softplus_f32, kernel_softplus_f32_4, kernel_softplus_f32_nc;
+    cl_kernel kernel_softplus_f16, kernel_softplus_f16_4, kernel_softplus_f16_nc;
     cl_kernel kernel_upscale;
     cl_kernel kernel_upscale_bilinear;
     cl_kernel kernel_concat_f32;
@@ -564,6 +575,8 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_mul_mv_id_mxfp4_f32_flat;
     cl_kernel kernel_mul_mm_f32_f32_l4_lm;
     cl_kernel kernel_mul_mm_f16_f32_l4_lm;
+    cl_kernel kernel_mul_mm_q4_0_f32_l4_lm;
+    cl_kernel kernel_mul_mm_q4_1_f32_l4_lm;
     cl_kernel kernel_mul_mm_q8_0_f32_l4_lm;
     cl_kernel kernel_mul_mm_q6_k_f32_l4_lm;
 
@@ -678,7 +691,9 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_transpose_32;
     cl_kernel kernel_transpose_32_16;
     cl_kernel kernel_transpose_16;
+    cl_kernel kernel_transpose_8_buf;
     cl_kernel kernel_transpose_16_buf;
+    cl_kernel kernel_transpose_32_buf;
     cl_kernel kernel_transpose_16_4x1;
 
     // Gemm and Gemv related programs, kernels, etc
@@ -694,6 +709,8 @@ struct ggml_backend_opencl_context {
     cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096;
     cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096;
     cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096;
+    cl_kernel kernel_gemv_noshuffle_q4_1_f32;
+    cl_kernel kernel_gemm_noshuffle_q4_1_f32;
     cl_kernel kernel_mul_mm_q8_0_f32_8x4;
     cl_kernel CL_mul_mat_vec_q8_0_f32;
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
@@ -862,13 +879,14 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
 #else
         const std::string kernel_src = read_file("cpy.cl");
 #endif
-        backend_ctx->program_cpy =
+        cl_program prog =
             build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
 
-        CL_CHECK((backend_ctx->kernel_cpy_f16_f16 = clCreateKernel(backend_ctx->program_cpy, "kernel_cpy_f16_f16", &err), err));
-        CL_CHECK((backend_ctx->kernel_cpy_f16_f32 = clCreateKernel(backend_ctx->program_cpy, "kernel_cpy_f16_f32", &err), err));
-        CL_CHECK((backend_ctx->kernel_cpy_f32_f16 = clCreateKernel(backend_ctx->program_cpy, "kernel_cpy_f32_f16", &err), err));
-        CL_CHECK((backend_ctx->kernel_cpy_f32_f32 = clCreateKernel(backend_ctx->program_cpy, "kernel_cpy_f32_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_cpy_f16_f16 = clCreateKernel(prog, "kernel_cpy_f16_f16", &err), err));
+        CL_CHECK((backend_ctx->kernel_cpy_f16_f32 = clCreateKernel(prog, "kernel_cpy_f16_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_cpy_f32_f16 = clCreateKernel(prog, "kernel_cpy_f32_f16", &err), err));
+        CL_CHECK((backend_ctx->kernel_cpy_f32_f32 = clCreateKernel(prog, "kernel_cpy_f32_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_cpy_i32_i32 = clCreateKernel(prog, "kernel_cpy_i32_i32", &err), err));
         GGML_LOG_CONT(".");
     }
 
@@ -888,6 +906,10 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_restore_block_q4_0_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_0_noshuffle", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q4_0  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_0", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q4_0  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_0", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q4_1_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_1_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q4_1_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_1_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q4_1  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_1", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q4_1  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_1", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_mxfp4 = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_mxfp4_trans = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4_trans", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_mxfp4_trans = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4_trans", &err), err));
@@ -917,6 +939,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // diag
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "diag.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("diag.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_diag_f32 = clCreateKernel(prog, "kernel_diag_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // gelu
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1119,6 +1158,40 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mv_q4_1_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q4_1_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q4_1_f32.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q4_1_f32 = clCreateKernel(prog, "kernel_mul_mv_q4_1_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // mul_mv_q4_1_f32_flat
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q4_1_f32_flat.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q4_1_f32_flat.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q4_1_f32_flat = clCreateKernel(prog, "kernel_mul_mv_q4_1_f32_flat", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mv_q4_k_f32
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1361,6 +1434,38 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mm_q4_0_f32_l4_lm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mm_q4_0_f32_l4_lm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mm_q4_0_f32_l4_lm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mm_q4_0_f32_l4_lm = clCreateKernel(prog, "kernel_mul_mm_q4_0_f32_l4_lm", &err), err));
+        GGML_LOG_CONT(".");
+    }
+
+    // mul_mm_q4_1_f32_l4_lm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mm_q4_1_f32_l4_lm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mm_q4_1_f32_l4_lm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mm_q4_1_f32_l4_lm = clCreateKernel(prog, "kernel_mul_mm_q4_1_f32_l4_lm", &err), err));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_q8_0_f32_l4_lm
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1482,6 +1587,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // l2_norm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "l2_norm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("l2_norm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_l2_norm_f32     = clCreateKernel(prog, "kernel_l2_norm_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // rope
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1764,6 +1886,7 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
             build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
 
         CL_CHECK((backend_ctx->kernel_mean_f32 = clCreateKernel(prog, "kernel_mean_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_mean_f32_4 = clCreateKernel(prog, "kernel_mean_f32_4", &err), err));
 
         CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
@@ -1801,7 +1924,26 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
             build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
 
         CL_CHECK((backend_ctx->kernel_sum_rows_f32 = clCreateKernel(backend_ctx->program_sum_rows_f32, "kernel_sum_rows_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_sum_rows_f32_4 = clCreateKernel(backend_ctx->program_sum_rows_f32, "kernel_sum_rows_f32_4", &err), err));
+        GGML_LOG_CONT(".");
+    }
+
+    // cumsum
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "cumsum.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("cumsum.cl");
+#endif
+        cl_program prog;
+        prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_cumsum_blk = clCreateKernel(prog, "kernel_cumsum_blk", &err), err));
+        CL_CHECK((backend_ctx->kernel_cumsum_add = clCreateKernel(prog, "kernel_cumsum_add", &err), err));
         GGML_LOG_CONT(".");
+        CL_CHECK(clReleaseProgram(prog));
     }
 
     // sigmoid
@@ -1896,6 +2038,48 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // neg
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "neg.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("neg.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_neg_f32    = clCreateKernel(prog, "kernel_neg_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_neg_f32_4  = clCreateKernel(prog, "kernel_neg_f32_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_neg_f32_nc = clCreateKernel(prog, "kernel_neg_f32_nc", &err), err));
+        CL_CHECK((backend_ctx->kernel_neg_f16    = clCreateKernel(prog, "kernel_neg_f16", &err), err));
+        CL_CHECK((backend_ctx->kernel_neg_f16_4  = clCreateKernel(prog, "kernel_neg_f16_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_neg_f16_nc = clCreateKernel(prog, "kernel_neg_f16_nc", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // exp
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "exp.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("exp.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_exp_f32    = clCreateKernel(prog, "kernel_exp_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_exp_f32_4  = clCreateKernel(prog, "kernel_exp_f32_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_exp_f32_nc = clCreateKernel(prog, "kernel_exp_f32_nc", &err), err));
+        CL_CHECK((backend_ctx->kernel_exp_f16    = clCreateKernel(prog, "kernel_exp_f16", &err), err));
+        CL_CHECK((backend_ctx->kernel_exp_f16_4  = clCreateKernel(prog, "kernel_exp_f16_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_exp_f16_nc = clCreateKernel(prog, "kernel_exp_f16_nc", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // expm1
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1905,20 +2089,16 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
 #else
         const std::string kernel_src = read_file("expm1.cl");
 #endif
-        cl_program prog;
-        if (!kernel_src.empty()) {
-            prog =
-                build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
-            CL_CHECK((backend_ctx->kernel_expm1_f32_nd = clCreateKernel(prog, "kernel_expm1_f32_nd", &err), err));
-            CL_CHECK((backend_ctx->kernel_expm1_f16_nd = clCreateKernel(prog, "kernel_expm1_f16_nd", &err), err));
-            GGML_LOG_CONT(".");
-        } else {
-            GGML_LOG_WARN("ggml_opencl: expm1 kernel source not found or empty. Expm1 operation will not be available.\n");
-            prog = nullptr;
-            backend_ctx->kernel_expm1_f32_nd = nullptr;
-            backend_ctx->kernel_expm1_f16_nd = nullptr;
-        }
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_expm1_f32    = clCreateKernel(prog, "kernel_expm1_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_expm1_f32_4  = clCreateKernel(prog, "kernel_expm1_f32_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_expm1_f32_nc = clCreateKernel(prog, "kernel_expm1_f32_nc", &err), err));
+        CL_CHECK((backend_ctx->kernel_expm1_f16    = clCreateKernel(prog, "kernel_expm1_f16", &err), err));
+        CL_CHECK((backend_ctx->kernel_expm1_f16_4  = clCreateKernel(prog, "kernel_expm1_f16_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_expm1_f16_nc = clCreateKernel(prog, "kernel_expm1_f16_nc", &err), err));
         CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
     }
 
     // softplus
@@ -1930,20 +2110,16 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
 #else
         const std::string kernel_src = read_file("softplus.cl");
 #endif
-        cl_program prog;
-        if (!kernel_src.empty()) {
-            prog =
-                build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
-            CL_CHECK((backend_ctx->kernel_softplus_f32_nd = clCreateKernel(prog, "kernel_softplus_f32_nd", &err), err));
-            CL_CHECK((backend_ctx->kernel_softplus_f16_nd = clCreateKernel(prog, "kernel_softplus_f16_nd", &err), err));
-            GGML_LOG_CONT(".");
-        } else {
-            GGML_LOG_WARN("ggml_opencl: softplus kernel source not found or empty. Softplus operation will not be available.\n");
-            prog = nullptr;
-            backend_ctx->kernel_softplus_f32_nd = nullptr;
-            backend_ctx->kernel_softplus_f16_nd = nullptr;
-        }
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_softplus_f32    = clCreateKernel(prog, "kernel_softplus_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_softplus_f32_4  = clCreateKernel(prog, "kernel_softplus_f32_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_softplus_f32_nc = clCreateKernel(prog, "kernel_softplus_f32_nc", &err), err));
+        CL_CHECK((backend_ctx->kernel_softplus_f16    = clCreateKernel(prog, "kernel_softplus_f16", &err), err));
+        CL_CHECK((backend_ctx->kernel_softplus_f16_4  = clCreateKernel(prog, "kernel_softplus_f16_4", &err), err));
+        CL_CHECK((backend_ctx->kernel_softplus_f16_nc = clCreateKernel(prog, "kernel_softplus_f16_nc", &err), err));
         CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
     }
 
     // upscale
@@ -2191,7 +2367,9 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_transpose_32_16 = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_32_16", &err), err));
         CL_CHECK((backend_ctx->kernel_transpose_32    = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_32", &err), err));
         CL_CHECK((backend_ctx->kernel_transpose_16    = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_16", &err), err));
+        CL_CHECK((backend_ctx->kernel_transpose_8_buf  = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_8_buf", &err), err));
         CL_CHECK((backend_ctx->kernel_transpose_16_buf = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_16_buf", &err), err));
+        CL_CHECK((backend_ctx->kernel_transpose_32_buf = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_32_buf", &err), err));
         CL_CHECK((backend_ctx->kernel_transpose_16_4x1 = clCreateKernel(backend_ctx->program_transpose, "kernel_transpose_16_4x1", &err), err));
         GGML_LOG_CONT(".");
     }
@@ -2311,6 +2489,45 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // gemm_noshuffle_q4_1_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q4_1_f32.cl.h"
+       };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_q4_1_f32.cl");
+#endif
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q4_1_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q4_1_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemv_noshuffle_q4_1_f32
+    {
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+        }
+
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_q4_1_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_q4_1_f32.cl");
+#endif
+
+        cl_program prog = build_program_from_source(
+            backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_1_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_1_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_q8_0_f32_8x4
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -2346,7 +2563,7 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         cl_program prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv_general.c_str(), CL_gemv_compile_opts);
 
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q8_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->CL_mul_mat_vec_q8_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q8_0_f32", &err), err));
         CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
     }
@@ -2439,7 +2656,7 @@ static std::vector<ggml_backend_device> ggml_opencl_probe_devices(ggml_backend_r
 
     cl_platform_id platform_ids[NPLAT];
     if (clGetPlatformIDs(NPLAT, platform_ids, &n_platforms) != CL_SUCCESS) {
-        GGML_LOG_ERROR("ggml_opencl: plaform IDs not available.\n");
+        GGML_LOG_ERROR("ggml_opencl: platform IDs not available.\n");
         return found_devices;
     }
 
@@ -2856,6 +3073,82 @@ static void ggml_cl2_free(ggml_backend_t backend) {
     }
 }
 
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+static void transpose_2d(
+    ggml_backend_opencl_context * backend_ctx,
+    cl_kernel kernel,
+    cl_mem src, cl_mem dst, size_t size,
+    cl_int stride, cl_int rows,
+    bool blocking = true
+) {
+    static ggml_cl_buffer buf;
+
+    cl_event evt;
+    cl_int err;
+
+    buf.allocate(backend_ctx->context, size);
+
+    cl_mem trans;
+    cl_buffer_region region;
+
+    region.origin = 0;
+    region.size = size;
+    CL_CHECK((trans = clCreateSubBuffer(
+        buf.buffer, CL_MEM_READ_WRITE,
+        CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &src));
+    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &trans));
+    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_int), &stride));
+    CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_int), &rows));
+
+    size_t local_size[3] = {64, 1, 1};
+    size_t global_size[3] = {(size_t)stride, (size_t)rows, 1};;
+    CL_CHECK(clEnqueueNDRangeKernel(backend_ctx->queue, kernel, 3, NULL,
+        global_size, local_size, 0, NULL, NULL));
+
+    if (blocking) {
+        CL_CHECK(clEnqueueCopyBuffer(backend_ctx->queue, trans, dst, 0, 0, size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clReleaseEvent(evt));
+    } else {
+        CL_CHECK(clEnqueueCopyBuffer(backend_ctx->queue, trans, dst, 0, 0, size, 0, NULL, NULL));
+    }
+
+    CL_CHECK(clReleaseMemObject(trans));
+}
+
+static void transpose_2d_as_8b(
+    ggml_backend_opencl_context * backend_ctx,
+    cl_mem src, cl_mem dst, size_t size,
+    cl_int stride, cl_int rows,
+    bool blocking = true
+) {
+    transpose_2d(backend_ctx, backend_ctx->kernel_transpose_8_buf,
+        src, dst, size, stride, rows, blocking);
+}
+
+static void transpose_2d_as_16b(
+    ggml_backend_opencl_context * backend_ctx,
+    cl_mem src, cl_mem dst, size_t size,
+    cl_int stride, cl_int rows,
+    bool blocking = true
+) {
+    transpose_2d(backend_ctx, backend_ctx->kernel_transpose_16_buf,
+        src, dst, size, stride, rows, blocking);
+}
+
+static void transpose_2d_as_32b(
+    ggml_backend_opencl_context * backend_ctx,
+    cl_mem src, cl_mem dst, size_t size,
+    cl_int stride, cl_int rows,
+    bool blocking = true
+) {
+    transpose_2d(backend_ctx, backend_ctx->kernel_transpose_32_buf,
+        src, dst, size, stride, rows, blocking);
+}
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
 //------------------------------------------------------------------------------
 // Tensor extra management
 //------------------------------------------------------------------------------
@@ -2923,6 +3216,59 @@ struct ggml_tensor_extra_cl_q4_0 {
     }
 };
 
+struct ggml_tensor_extra_cl_q4_1 {
+    // Quantized values.
+    cl_mem q = nullptr;
+    // Quantized values in image1d_buffer_t.
+    cl_mem q_img = nullptr;
+    // Scales.
+    cl_mem d = nullptr;
+    // Scales in image1d_buffer_t.
+    cl_mem d_img = nullptr;
+    // Min
+    cl_mem m = nullptr;
+    // Min in image1d_buffer_t.
+    cl_mem m_img = nullptr;
+    // Size of quantized values.
+    size_t size_q = 0;
+    // Size of scales.
+    size_t size_d = 0;
+    // Size of min values.
+    size_t size_m = 0;
+
+    ~ggml_tensor_extra_cl_q4_1() {
+        reset();
+    }
+
+    void reset() {
+        // q and d are subbuffers into the bigger buffer allocated in ggml_backend_buffer.
+        // They must be properly released so that the original buffer can be
+        // properly released to avoid memory leak.
+        if (q != nullptr) {
+            CL_CHECK(clReleaseMemObject(q));
+            q = nullptr;
+        }
+        if (d != nullptr) {
+            CL_CHECK(clReleaseMemObject(d));
+            d = nullptr;
+        }
+        if (m != nullptr) {
+            CL_CHECK(clReleaseMemObject(m));
+            m = nullptr;
+        }
+        // Currently, q_img and d_img are only initialized when SMALL_ALLOC is
+        // enabled. They point to the images in ggml_backend_opencl_buffer_context.
+        // So, there is no need to release them here.
+        // TODO: initialize them for non SMALL_PATH path, or remove them.
+        q_img = nullptr;
+        d_img = nullptr;
+        m_img = nullptr;
+        size_q = 0;
+        size_d = 0;
+        size_m = 0;
+    }
+};
+
 struct ggml_tensor_extra_cl_mxfp4 {
     // Quantized values.
     cl_mem q = nullptr;
@@ -3094,7 +3440,7 @@ static void ggml_backend_opencl_synchronize(ggml_backend_t backend) {
     CL_CHECK(clReleaseEvent(evt));
 }
 
-// Syncronizes the 'backend_ctx's device with others so that commands
+// Synchronizes the 'backend_ctx's device with others so that commands
 // enqueued to it won't start until commands in the other devices have
 // completed.
 static void sync_with_other_backends(ggml_backend_opencl_context * backend_ctx) {
@@ -3299,9 +3645,21 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
                         default:
                             return false;
                     }
+                case GGML_TYPE_I32:
+                    switch (op->type) {
+                        case GGML_TYPE_I32:
+                            return true;
+                        default:
+                            return false;
+                    }
                 default:
                     return false;
             }
+        case GGML_OP_SET: {
+            return (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_I32) &&
+                    op->type == op->src[0]->type &&
+                    op->type == op->src[1]->type;
+        }
         case GGML_OP_SCALE:
             return op->src[0]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]);
         case GGML_OP_ADD:
@@ -3335,13 +3693,13 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
                 case GGML_UNARY_OP_SIGMOID:
                     return ggml_is_contiguous(op->src[0]);
                 case GGML_UNARY_OP_TANH:
+                case GGML_UNARY_OP_NEG:
+                case GGML_UNARY_OP_EXP:
                    return op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16;
                 case GGML_UNARY_OP_EXPM1:
-                   return (op->src[0]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32) ||
-                          (op->src[0]->type == GGML_TYPE_F16 && op->type == GGML_TYPE_F16);
+                   return op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16;
                 case GGML_UNARY_OP_SOFTPLUS:
-                   return (op->src[0]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32) ||
-                          (op->src[0]->type == GGML_TYPE_F16 && op->type == GGML_TYPE_F16);
+                   return op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16;
                 default:
                     return false;
             }
@@ -3368,6 +3726,8 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
             return true;
         case GGML_OP_RMS_NORM:
             return op->ne[0] % 4 == 0 && ggml_is_contiguous_rows(op->src[0]);
+        case GGML_OP_L2_NORM:
+            return ggml_is_contiguous_rows(op->src[0]);
         case GGML_OP_REPEAT:
             return op->src[0]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32; // Assuming F32 for now, can be expanded
         case GGML_OP_PAD:
@@ -3399,8 +3759,9 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
                 return true;
             } else if (op->src[0]->type == GGML_TYPE_F32) {
                 return op->src[1]->type == GGML_TYPE_F32;
-            } else if (op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_MXFP4 ||
-                       op->src[0]->type == GGML_TYPE_Q4_K ||
+            } else if (op->src[0]->type == GGML_TYPE_Q4_0  || op->src[0]->type == GGML_TYPE_Q4_1 ||
+                       op->src[0]->type == GGML_TYPE_MXFP4 ||
+                       op->src[0]->type == GGML_TYPE_Q4_K  ||
                        op->src[0]->type == GGML_TYPE_Q6_K) {
                 return op->src[1]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
             } else if (op->src[0]->type == GGML_TYPE_Q8_0) {
@@ -3421,6 +3782,8 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
         case GGML_OP_PERMUTE:
         case GGML_OP_TRANSPOSE:
             return true;
+        case GGML_OP_DIAG:
+            return true;
         case GGML_OP_DIAG_MASK_INF:
             return op->ne[3] == 1;
         case GGML_OP_ROPE: {
@@ -3459,8 +3822,10 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
             return cols <= max_workgroup_size && op->src[0]->type == GGML_TYPE_F32;
         }
         case GGML_OP_SUM_ROWS:
-        case GGML_OP_MEAN:
+        case GGML_OP_CUMSUM:
             return op->src[0]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]);
+        case GGML_OP_MEAN:
+            return op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_FLASH_ATTN_EXT:
             {
                 const ggml_tensor * q = op->src[0];
@@ -3629,6 +3994,21 @@ struct ggml_backend_opencl_buffer_context {
         return extra;
     }
 
+    ggml_tensor_extra_cl_q4_1 * ggml_opencl_alloc_temp_tensor_extra_q4_1() {
+        ggml_tensor_extra_cl_q4_1 * extra;
+        if (temp_tensor_extras_q4_1.empty()) {
+            extra = new ggml_tensor_extra_cl_q4_1();
+        } else {
+            extra = temp_tensor_extras_q4_1.back();
+            temp_tensor_extras_q4_1.pop_back();
+        }
+
+        temp_tensor_extras_q4_1_in_use.push_back(extra);
+
+        extra->reset();
+        return extra;
+    }
+
     ggml_tensor_extra_cl_mxfp4 * ggml_opencl_alloc_temp_tensor_extra_mxfp4() {
         ggml_tensor_extra_cl_mxfp4 * extra;
         if (temp_tensor_extras_mxfp4.empty()) {
@@ -3685,6 +4065,11 @@ struct ggml_backend_opencl_buffer_context {
         }
         temp_tensor_extras_q4_0_in_use.clear();
 
+        for (ggml_tensor_extra_cl_q4_1 * e : temp_tensor_extras_q4_1_in_use) {
+            temp_tensor_extras_q4_1.push_back(e);
+        }
+        temp_tensor_extras_q4_1_in_use.clear();
+
         for (ggml_tensor_extra_cl_mxfp4 * e : temp_tensor_extras_mxfp4_in_use) {
             temp_tensor_extras_mxfp4.push_back(e);
         }
@@ -3710,6 +4095,8 @@ struct ggml_backend_opencl_buffer_context {
     std::vector<ggml_tensor_extra_cl *> temp_tensor_extras_in_use;
     std::vector<ggml_tensor_extra_cl_q4_0 *> temp_tensor_extras_q4_0;
     std::vector<ggml_tensor_extra_cl_q4_0 *> temp_tensor_extras_q4_0_in_use;
+    std::vector<ggml_tensor_extra_cl_q4_1 *> temp_tensor_extras_q4_1;
+    std::vector<ggml_tensor_extra_cl_q4_1 *> temp_tensor_extras_q4_1_in_use;
     std::vector<ggml_tensor_extra_cl_mxfp4 *> temp_tensor_extras_mxfp4;
     std::vector<ggml_tensor_extra_cl_mxfp4 *> temp_tensor_extras_mxfp4_in_use;
     std::vector<ggml_tensor_extra_cl_q8_0 *> temp_tensor_extras_q8_0;
@@ -3719,7 +4106,7 @@ struct ggml_backend_opencl_buffer_context {
 
     // The buffer_context is initially created by ggml_backend_buft_alloc_buffer
     // before any tensor is initialized (at the beginning of alloc_tensor_range).
-    // Hence, there is alway a buffer object in this vector. When each tensor is
+    // Hence, there is always a buffer object in this vector. When each tensor is
     // being initialized, this original buffer object will be released if both
     // flattening and small allocation are enabled, and additional buffer
     // objects will be created in init_tensor to represent flattened quantized
@@ -3854,7 +4241,7 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
         //GGML_ASSERT(offset == 0);
 
         // We create subbuffers from the original tensor buffer for scales and
-        // quants - i.e., scales and quants are aliases into the buffer obejct
+        // quants - i.e., scales and quants are aliases into the buffer object
         // that backs the original tensor. This is a cleaner way to adapt to the
         // new memory management.
         // In the old code, we allocate new buffers for scales and quants
@@ -4079,17 +4466,18 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
         return;
 
     }
-    if (tensor->type == GGML_TYPE_MXFP4) {
+    if (tensor->type == GGML_TYPE_Q4_1) {
         ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
         GGML_ASSERT(extra_orig && "Tesnors in OpenCL backend should have been allocated and initialized");
 
         // Allocate the new extra and create aliases from the original.
         ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-        ggml_tensor_extra_cl_mxfp4 * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_mxfp4();
+        ggml_tensor_extra_cl_q4_1 * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_q4_1();
 
-        size_t size_e = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(char);
+        size_t size_d = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        size_t size_m = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
         size_t size_q = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
-        GGML_ASSERT(size_e + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
+        GGML_ASSERT(size_d + size_m + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
 
         cl_int err;
         cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
@@ -4099,14 +4487,106 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
             queue, data_device, CL_TRUE, 0,
             ggml_nbytes(tensor), data, 0, NULL, NULL));
 
-        // The original tensor memory is divided into scales and quants, i.e.,
-        // we first store scales, then quants.
         cl_buffer_region region;
 
+        // The original tensor memory is divided into scales and quants, i.e.,
+        // we first store scales, mins, then quants.
         // Create subbuffer for scales.
         region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
-        region.size = size_e;
-        extra->e = clCreateSubBuffer(
+        region.size = size_d;
+        extra->d = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        auto previous_origin = region.origin;
+
+        // Create subbuffer for mins.
+        region.origin = align_to(previous_origin + size_d, backend_ctx->alignment);
+        region.size = size_m;
+        extra->m = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        previous_origin = region.origin;
+
+        // Create subbuffer for quants.
+        region.origin = align_to(previous_origin + size_m, backend_ctx->alignment);
+        region.size = size_q;
+        extra->q = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+
+    #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q4_1;
+
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_q4_1_noshuffle;
+        }
+    #else
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q4_1;
+    #endif // GGML_OPENCL_USE_ADRENO_KERNELS
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->m));
+
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clReleaseMemObject(data_device));
+
+        tensor->extra = extra;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            GGML_ASSERT(K % 32 == 0);
+
+            // Transpose q as ushort
+            transpose_2d_as_16b(backend_ctx, extra->q, extra->q, size_q, K/4, M);
+            // Transpose d as ushort
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/32, M);
+            // Transpose m as ushort
+            transpose_2d_as_16b(backend_ctx, extra->m, extra->m, size_m, K/32, M);
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+        return;
+    }
+    if (tensor->type == GGML_TYPE_MXFP4) {
+        ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
+        GGML_ASSERT(extra_orig && "Tesnors in OpenCL backend should have been allocated and initialized");
+
+        // Allocate the new extra and create aliases from the original.
+        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
+        ggml_tensor_extra_cl_mxfp4 * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_mxfp4();
+
+        size_t size_e = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(char);
+        size_t size_q = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+        GGML_ASSERT(size_e + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
+
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+        CL_CHECK(clEnqueueWriteBuffer(
+            queue, data_device, CL_TRUE, 0,
+            ggml_nbytes(tensor), data, 0, NULL, NULL));
+
+        // The original tensor memory is divided into scales and quants, i.e.,
+        // we first store scales, then quants.
+        cl_buffer_region region;
+
+        // Create subbuffer for scales.
+        region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
+        region.size = size_e;
+        extra->e = clCreateSubBuffer(
             extra_orig->data_device, CL_MEM_READ_WRITE,
             CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
         CL_CHECK(err);
@@ -4581,7 +5061,82 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
             size, data, 0, NULL, NULL));
         CL_CHECK(clReleaseMemObject(data_device));
         return;
-    } else if (tensor->type == GGML_TYPE_MXFP4) {
+    }
+    if (tensor->type == GGML_TYPE_Q4_1) {
+        ggml_tensor_extra_cl_q4_1 * extra = (ggml_tensor_extra_cl_q4_1 *)tensor->extra;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            static ggml_cl_buffer buf_trans_q;
+            static ggml_cl_buffer buf_trans_m;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_unpacked;
+
+            cl_int M = tensor->ne[1];
+            cl_int K = tensor->ne[0];
+
+            GGML_ASSERT(K % ggml_blck_size(tensor->type) == 0);
+
+            size_t size_q = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*ggml_blck_size(tensor->type)/2;
+            size_t size_d = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*sizeof(ggml_fp16_t);
+            size_t size_m = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*sizeof(ggml_fp16_t);
+            GGML_ASSERT(size_d + size_q + size_m == ggml_nbytes(tensor) && "Incorrect tensor size");
+
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_m.allocate(backend_ctx->context, size_m);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_unpacked.allocate(backend_ctx->context, ggml_nbytes(tensor));
+
+            // transpose q, d, m back
+            transpose_2d_as_16b(backend_ctx, extra->q, buf_trans_q.buffer, size_q, M, K/4);
+            transpose_2d_as_16b(backend_ctx, extra->d, buf_trans_d.buffer, size_d, M, K/32);
+            transpose_2d_as_16b(backend_ctx, extra->m, buf_trans_m.buffer, size_m, M, K/32);
+
+            cl_uchar mask_0F = 0x0F;
+            cl_uchar mask_F0 = 0xF0;
+
+            size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q4_1_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &buf_trans_m.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &buf_unpacked.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_uchar), &mask_0F));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_F0));
+
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, buf_unpacked.buffer, CL_TRUE, offset, size, data, 0, NULL, NULL));
+            return;
+        }
+#endif
+
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+
+        cl_kernel kernel = backend_ctx->kernel_restore_block_q4_1;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->m));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &data_device));
+
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {1, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+            global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clEnqueueReadBuffer(
+            queue, data_device, CL_TRUE, offset,
+            size, data, 0, NULL, NULL));
+        CL_CHECK(clReleaseMemObject(data_device));
+        return;
+    }
+    if (tensor->type == GGML_TYPE_MXFP4) {
         ggml_tensor_extra_cl_mxfp4 * extra = (ggml_tensor_extra_cl_mxfp4 *)tensor->extra;
 
         cl_int err;
@@ -4648,8 +5203,8 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
 
             int ne00 = tensor->ne[0];
             int ne01 = tensor->ne[1];
-            GGML_ASSERT(tensor->ne[2] == 1);  // ???
-            GGML_ASSERT(tensor->ne[3] == 1);  // ???
+            GGML_ASSERT(tensor->ne[2] == 1);
+            GGML_ASSERT(tensor->ne[3] == 1);
 
             CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
             CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->d));
@@ -4831,7 +5386,8 @@ static const char * ggml_backend_opencl_device_get_description(ggml_backend_dev_
 }
 
 static void ggml_backend_opencl_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
-    *free = 0;
+    // no memory to report
+    *free  = 0;
     *total = 0;
 
     GGML_UNUSED(dev);
@@ -5240,19 +5796,12 @@ static void ggml_cl_get_rows(ggml_backend_t backend, const ggml_tensor * src0, c
     GGML_ASSERT(dst);
     GGML_ASSERT(dst->extra);
 
-    const int      ne00 = src0->ne[0];
-    const cl_ulong nb01 = src0->nb[1];
-    const cl_ulong nb02 = src0->nb[2];
-    const cl_ulong nb03 = src0->nb[3];
-    const int      ne10 = src1->ne[0];
-    const cl_ulong nb10 = src1->nb[0];
-    const int      ne11 = src1->ne[1];
-    const int      ne12 = src1->ne[2];
-    const cl_ulong nb11 = src1->nb[1];
-    const cl_ulong nb12 = src1->nb[2];
-    const cl_ulong nb1  = dst->nb[1];
-    const cl_ulong nb2  = dst->nb[2];
-    const cl_ulong nb3  = dst->nb[3];
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne1, src1, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb1, src1, nb);
+    GGML_TENSOR_LOCALS(int,      ne,  dst,  ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb,  dst,  nb);
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
@@ -5298,8 +5847,14 @@ static void ggml_cl_get_rows(ggml_backend_t backend, const ggml_tensor * src0, c
     CL_CHECK(clSetKernelArg(kernel, 15, sizeof(cl_ulong), &nb2));
     CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong), &nb3));
 
-    size_t global_work_size[] = {(size_t)ne10*64, (size_t)ne11, (size_t)ne12};
-    size_t local_work_size[] = {64, 1, 1};
+    int max_workgroup_size = backend_ctx->get_kernel_workgroup_size(kernel);
+    int nth = 1;
+    while (nth < ne00 && 2*nth <= max_workgroup_size) {
+        nth *= 2;
+    }
+
+    size_t global_work_size[] = {(size_t)ne10*nth, (size_t)ne11, (size_t)ne12};
+    size_t local_work_size[] = {(size_t)nth, 1, 1};
 
     backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 }
@@ -6154,7 +6709,6 @@ static void ggml_cl_mean(ggml_backend_t backend, const ggml_tensor * src0, const
     GGML_UNUSED(src1);
 
     GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type));
-    GGML_ASSERT(ggml_is_contiguous(src0));
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
@@ -6177,7 +6731,14 @@ static void ggml_cl_mean(ggml_backend_t backend, const ggml_tensor * src0, const
     const cl_ulong nb2  = dst->nb[2];
     const cl_ulong nb3  = dst->nb[3];
 
-    cl_kernel kernel = backend_ctx->kernel_mean_f32;
+    cl_kernel kernel;
+
+    const bool is_c4 = ne00 % 4 == 0;
+    if (is_c4) {
+        kernel = backend_ctx->kernel_mean_f32_4;
+    } else {
+        kernel = backend_ctx->kernel_mean_f32;
+    }
 
     CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
     CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
@@ -6194,7 +6755,7 @@ static void ggml_cl_mean(ggml_backend_t backend, const ggml_tensor * src0, const
     CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb2));
     CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_ulong), &nb3));
 
-    size_t global_work_size[] = {(size_t)ne01, (size_t)ne02, (size_t)ne03};
+    size_t global_work_size[] = {64 * (size_t)ne01, (size_t)ne02, (size_t)ne03};
     size_t local_work_size[] = {(size_t)64, 1, 1};
 
     backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
@@ -7033,6 +7594,64 @@ static void ggml_cl_group_norm(ggml_backend_t backend, const ggml_tensor * src0,
     backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 }
 
+static void ggml_cl_l2_norm(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    UNUSED(src1);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    float eps;
+    memcpy(&eps, dst->op_params, sizeof(float));
+
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+
+    size_t sgs;
+    if (backend_ctx->gpu_family == ADRENO) {
+        sgs = 64;
+    } else if (backend_ctx->gpu_family == INTEL) {
+        sgs = 32;
+    } else {
+        GGML_ASSERT(false && "Unsupported GPU");
+    }
+
+    cl_kernel kernel = backend_ctx->kernel_l2_norm_f32;
+
+    int nth = sgs;
+    while (nth < ne00 && nth < (int)backend_ctx->get_kernel_workgroup_size(kernel)) {
+        nth *= 2;
+    }
+
+    CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),    &extra0->data_device));
+    CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong),  &offset0));
+    CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),    &extrad->data_device));
+    CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong),  &offsetd));
+    CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),       &ne00));
+    CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),       &ne01));
+    CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),       &ne02));
+    CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),       &ne03));
+    CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong),  &nb01));
+    CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong),  &nb02));
+    CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong),  &nb03));
+    CL_CHECK(clSetKernelArg(kernel, 11, sizeof(float),     &eps));
+    CL_CHECK(clSetKernelArg(kernel, 12, sizeof(float)*nth/sgs,  NULL));
+
+    size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03};
+    size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+}
+
 static void ggml_cl_tanh(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -7129,7 +7748,7 @@ static void ggml_cl_tanh(ggml_backend_t backend, const ggml_tensor * src0, const
     }
 }
 
-static void ggml_cl_expm1(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_cl_neg(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
     GGML_ASSERT(dst);
@@ -7142,96 +7761,76 @@ static void ggml_cl_expm1(ggml_backend_t backend, const ggml_tensor * src0, cons
     ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
     ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
 
-    cl_ulong offset0_abs = extra0->offset + src0->view_offs;
-    cl_ulong offsetd_abs = extrad->offset + dst->view_offs;
-
-    cl_kernel kernel;
-    if (dst->type == GGML_TYPE_F32) {
-        kernel = backend_ctx->kernel_expm1_f32_nd;
-    } else if (dst->type == GGML_TYPE_F16) {
-        kernel = backend_ctx->kernel_expm1_f16_nd;
-    } else {
-        GGML_ASSERT(false && "Unsupported type for ggml_cl_expm1");
-    }
-    GGML_ASSERT(kernel != nullptr);
-
-    const int ne00 = src0->ne[0];
-    const int ne01 = src0->ne[1];
-    const int ne02 = src0->ne[2];
-    const int ne03 = src0->ne[3];
-
-    const cl_ulong nb00 = src0->nb[0];
-    const cl_ulong nb01 = src0->nb[1];
-    const cl_ulong nb02 = src0->nb[2];
-    const cl_ulong nb03 = src0->nb[3];
-
-    const int ne10 = dst->ne[0];
-    const int ne11 = dst->ne[1];
-    const int ne12 = dst->ne[2];
-    const int ne13 = dst->ne[3];
-
-    const cl_ulong nb10 = dst->nb[0];
-    const cl_ulong nb11 = dst->nb[1];
-    const cl_ulong nb12 = dst->nb[2];
-    const cl_ulong nb13 = dst->nb[3];
-
-    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0->data_device));
-    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0_abs));
-    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extrad->data_device));
-    CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd_abs));
-
-    CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),      &ne00));
-    CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int),      &ne01));
-    CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int),      &ne02));
-    CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int),      &ne03));
-    CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_ulong), &nb00));
-    CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nb01));
-    CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong),&nb02));
-    CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong),&nb03));
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
 
-    CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),     &ne10));
-    CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),     &ne11));
-    CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),     &ne12));
-    CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),     &ne13));
-    CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong),&nb10));
-    CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_ulong),&nb11));
-    CL_CHECK(clSetKernelArg(kernel, 18, sizeof(cl_ulong),&nb12));
-    CL_CHECK(clSetKernelArg(kernel, 19, sizeof(cl_ulong),&nb13));
-
-    size_t global_work_size[3];
-    if (ne10 == 0 || ne11 == 0 || ne12 == 0 || ne13 == 0) { // Handle case of 0 elements
-        return;
-    }
-    global_work_size[0] = (size_t)ne10;
-    global_work_size[1] = (size_t)ne11;
-    global_work_size[2] = (size_t)ne12;
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne,  dst,  ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb,  dst,  nb);
 
-    size_t lws0 = 16, lws1 = 4, lws2 = 1;
-    if (ne10 < 16) lws0 = ne10;
-    if (ne11 < 4) lws1 = ne11;
-    if (ne12 < 1) lws2 = ne12 > 0 ? ne12 : 1;
+    cl_kernel kernel;
 
-    while (lws0 * lws1 * lws2 > 256 && lws0 > 1) lws0 /= 2;
-    while (lws0 * lws1 * lws2 > 256 && lws1 > 1) lws1 /= 2;
-    while (lws0 * lws1 * lws2 > 256 && lws2 > 1) lws2 /= 2;
+    if (ggml_is_contiguous(src0)) {
+        // Handle contiguous input
+        int n = ggml_nelements(dst);
+        if (n % 4 == 0) {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_neg_f32_4;
+            } else {
+                kernel = backend_ctx->kernel_neg_f16_4;
+            }
+            n /= 4;
+        } else {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_neg_f32;
+            } else {
+                kernel = backend_ctx->kernel_neg_f16;
+            }
+        }
 
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_int),   &n));
 
-    size_t local_work_size[] = {lws0, lws1, lws2};
+        size_t global_work_size[] = {(size_t)CEIL_DIV(n, 64)*64, 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
 
-    size_t* local_work_size_ptr = local_work_size;
-    if (!backend_ctx->non_uniform_workgroups) {
-        if (global_work_size[0] % local_work_size[0] != 0 ||
-            global_work_size[1] % local_work_size[1] != 0 ||
-            global_work_size[2] % local_work_size[2] != 0) {
-            local_work_size_ptr = NULL;
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+    } else {
+        // Handle non-contiguous input
+        if (src0->type == GGML_TYPE_F32) {
+            kernel = backend_ctx->kernel_neg_f32_nc;
+        } else {
+            kernel = backend_ctx->kernel_neg_f16_nc;
         }
-    }
-    if (global_work_size[0] == 0 || global_work_size[1] == 0 || global_work_size[2] == 0) return;
 
-    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size_ptr, dst);
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &nb00));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &nb01));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &nb02));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb03));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb0));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb2));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb3));
+
+        int nth = 64;
+
+        size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03};
+        size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+    }
 }
 
-static void ggml_cl_softplus(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_cl_exp(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
     GGML_ASSERT(dst);
@@ -7244,18 +7843,90 @@ static void ggml_cl_softplus(ggml_backend_t backend, const ggml_tensor * src0, c
     ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
     ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
 
-    cl_ulong offset0_abs = extra0->offset + src0->view_offs;
-    cl_ulong offsetd_abs = extrad->offset + dst->view_offs;
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne,  dst,  ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb,  dst,  nb);
 
     cl_kernel kernel;
-    if (dst->type == GGML_TYPE_F32) {
-        kernel = backend_ctx->kernel_softplus_f32_nd;
-    } else if (dst->type == GGML_TYPE_F16) {
-        kernel = backend_ctx->kernel_softplus_f16_nd;
+
+    if (ggml_is_contiguous(src0)) {
+        // Handle contiguous input
+        int n = ggml_nelements(dst);
+        if (n % 4 == 0) {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_exp_f32_4;
+            } else {
+                kernel = backend_ctx->kernel_exp_f16_4;
+            }
+            n /= 4;
+        } else {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_exp_f32;
+            } else {
+                kernel = backend_ctx->kernel_exp_f16;
+            }
+        }
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_int),   &n));
+
+        size_t global_work_size[] = {(size_t)CEIL_DIV(n, 64)*64, 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
     } else {
-        GGML_ASSERT(false && "Unsupported type for ggml_cl_softplus");
+        // Handle non-contiguous input
+        if (src0->type == GGML_TYPE_F32) {
+            kernel = backend_ctx->kernel_exp_f32_nc;
+        } else {
+            kernel = backend_ctx->kernel_exp_f16_nc;
+        }
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &nb00));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &nb01));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &nb02));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb03));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb0));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb2));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb3));
+
+        int nth = 64;
+
+        size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03};
+        size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
     }
-    GGML_ASSERT(kernel != nullptr);
+}
+
+static void ggml_cl_expm1(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    UNUSED(src1);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
 
     const int ne00 = src0->ne[0];
     const int ne01 = src0->ne[1];
@@ -7267,70 +7938,170 @@ static void ggml_cl_softplus(ggml_backend_t backend, const ggml_tensor * src0, c
     const cl_ulong nb02 = src0->nb[2];
     const cl_ulong nb03 = src0->nb[3];
 
-    const int ne10 = dst->ne[0];
-    const int ne11 = dst->ne[1];
-    const int ne12 = dst->ne[2];
-    const int ne13 = dst->ne[3];
+    const cl_ulong nb0 = dst->nb[0];
+    const cl_ulong nb1 = dst->nb[1];
+    const cl_ulong nb2 = dst->nb[2];
+    const cl_ulong nb3 = dst->nb[3];
 
-    const cl_ulong nb10 = dst->nb[0];
-    const cl_ulong nb11 = dst->nb[1];
-    const cl_ulong nb12 = dst->nb[2];
-    const cl_ulong nb13 = dst->nb[3];
+    cl_kernel kernel;
 
-    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0->data_device));
-    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0_abs));
-    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extrad->data_device));
-    CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd_abs));
+    if (ggml_is_contiguous(src0)) {
+        // Handle contiguous input
+        int n = ggml_nelements(dst);
+        if (n % 4 == 0) {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_expm1_f32_4;
+            } else {
+                kernel = backend_ctx->kernel_expm1_f16_4;
+            }
+            n /= 4;
+        } else {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_expm1_f32;
+            } else {
+                kernel = backend_ctx->kernel_expm1_f16;
+            }
+        }
 
-    CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),      &ne00));
-    CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int),      &ne01));
-    CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int),      &ne02));
-    CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int),      &ne03));
-    CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_ulong), &nb00));
-    CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nb01));
-    CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong),&nb02));
-    CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong),&nb03));
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd));
 
-    CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),     &ne10));
-    CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),     &ne11));
-    CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),     &ne12));
-    CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),     &ne13));
-    CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong),&nb10));
-    CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_ulong),&nb11));
-    CL_CHECK(clSetKernelArg(kernel, 18, sizeof(cl_ulong),&nb12));
-    CL_CHECK(clSetKernelArg(kernel, 19, sizeof(cl_ulong),&nb13));
-
-    size_t global_work_size[3];
-    if (ne10 == 0 || ne11 == 0 || ne12 == 0 || ne13 == 0) { // Handle case of 0 elements
-        return;
+        size_t global_work_size[] = {(size_t)n, 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        size_t * local_work_size_ptr = local_work_size;
+        if (n % 64 != 0 && !backend_ctx->non_uniform_workgroups) {
+            local_work_size_ptr = nullptr;
+        }
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size_ptr, dst);
+    } else {
+        // Handle non-contiguous input
+        if (src0->type == GGML_TYPE_F32) {
+            kernel = backend_ctx->kernel_expm1_f32_nc;
+        } else {
+            kernel = backend_ctx->kernel_expm1_f16_nc;
+        }
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &nb00));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &nb01));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &nb02));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb03));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb0));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb2));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb3));
+
+        int nth = 64;
+
+        size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03};
+        size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
     }
-    global_work_size[0] = (size_t)ne10;
-    global_work_size[1] = (size_t)ne11;
-    global_work_size[2] = (size_t)ne12;
+}
 
-    size_t lws0 = 16, lws1 = 4, lws2 = 1;
-    if (ne10 < 16) lws0 = ne10;
-    if (ne11 < 4) lws1 = ne11;
-    if (ne12 < 1) lws2 = ne12 > 0 ? ne12 : 1;
+static void ggml_cl_softplus(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
 
-    while (lws0 * lws1 * lws2 > 256 && lws0 > 1) lws0 /= 2;
-    while (lws0 * lws1 * lws2 > 256 && lws1 > 1) lws1 /= 2;
-    while (lws0 * lws1 * lws2 > 256 && lws2 > 1) lws2 /= 2;
+    UNUSED(src1);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
 
+    const int ne00 = src0->ne[0];
+    const int ne01 = src0->ne[1];
+    const int ne02 = src0->ne[2];
+    const int ne03 = src0->ne[3];
 
-    size_t local_work_size[] = {lws0, lws1, lws2};
+    const cl_ulong nb00 = src0->nb[0];
+    const cl_ulong nb01 = src0->nb[1];
+    const cl_ulong nb02 = src0->nb[2];
+    const cl_ulong nb03 = src0->nb[3];
 
-    size_t* local_work_size_ptr = local_work_size;
-    if (!backend_ctx->non_uniform_workgroups) {
-        if (global_work_size[0] % local_work_size[0] != 0 ||
-            global_work_size[1] % local_work_size[1] != 0 ||
-            global_work_size[2] % local_work_size[2] != 0) {
-            local_work_size_ptr = NULL;
+    const cl_ulong nb0 = dst->nb[0];
+    const cl_ulong nb1 = dst->nb[1];
+    const cl_ulong nb2 = dst->nb[2];
+    const cl_ulong nb3 = dst->nb[3];
+
+    cl_kernel kernel;
+
+    if (ggml_is_contiguous(src0)) {
+        // Handle contiguous input
+        int n = ggml_nelements(dst);
+        if (n % 4 == 0) {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_softplus_f32_4;
+            } else {
+                kernel = backend_ctx->kernel_softplus_f16_4;
+            }
+            n /= 4;
+        } else {
+            if (src0->type == GGML_TYPE_F32) {
+                kernel = backend_ctx->kernel_softplus_f32;
+            } else {
+                kernel = backend_ctx->kernel_softplus_f16;
+            }
         }
-    }
-    if (global_work_size[0] == 0 || global_work_size[1] == 0 || global_work_size[2] == 0) return;
 
-    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size_ptr, dst);
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd));
+
+        size_t global_work_size[] = {(size_t)n, 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        size_t * local_work_size_ptr = local_work_size;
+        if (n % 64 != 0 && !backend_ctx->non_uniform_workgroups) {
+            local_work_size_ptr = nullptr;
+        }
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size_ptr, dst);
+    } else {
+        // Handle non-contiguous input
+        if (src0->type == GGML_TYPE_F32) {
+            kernel = backend_ctx->kernel_softplus_f32_nc;
+        } else {
+            kernel = backend_ctx->kernel_softplus_f16_nc;
+        }
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &nb00));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &nb01));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &nb02));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb03));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb0));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb2));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb3));
+
+        int nth = 64;
+
+        size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03};
+        size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+    }
 }
 
 static void ggml_cl_repeat(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1_shape_def, ggml_tensor * dst) {
@@ -8139,6 +8910,180 @@ static void ggml_cl_mul_mat_kq_kqv_adreno(ggml_backend_t backend, const ggml_ten
     CL_CHECK(clReleaseMemObject(D_sub_buffer));
 }
 
+static void ggml_cl_mul_mat_q4_1_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_q4_1 * extra0_q4_1 = (ggml_tensor_extra_cl_q4_1 *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int  ne00 = src0->ne[0];
+    const int  ne01 = src0->ne[1];
+
+    const int  ne1 = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
+    cl_buffer_region    region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
+
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer = extra0_q4_1->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_q4_1_f32;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_1->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q4_1->m));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne01));
+
+        size_t local_work_size[3] = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size = K * (N + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
+        int height_B = N/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = K/4;
+        int padded_height_B = (N + padding)/4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q4_1_f32;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0_q4_1->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_1->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q4_1->m));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_int),   &ne1));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3] = {1, 128, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
 static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
     GGML_ASSERT(src0);
@@ -8409,6 +9354,7 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
 
 #ifdef GGML_OPENCL_SOA_Q
     ggml_tensor_extra_cl_q4_0 * extra0_q4_0 = (ggml_tensor_extra_cl_q4_0 *)src0->extra;
+    ggml_tensor_extra_cl_q4_1 * extra0_q4_1 = (ggml_tensor_extra_cl_q4_1 *)src0->extra;
     ggml_tensor_extra_cl_mxfp4 * extra0_mxfp4 = (ggml_tensor_extra_cl_mxfp4 *)src0->extra;
     ggml_tensor_extra_cl_q8_0 * extra0_q8_0 = (ggml_tensor_extra_cl_q8_0 *)src0->extra;
     ggml_tensor_extra_cl_q6_K * extra0_q6_K = (ggml_tensor_extra_cl_q6_K *)src0->extra;
@@ -8503,6 +9449,16 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     int padding;
     // <--------------------------------------------> //
 
+    // NOTE: Kernels using image1d_buffer_t (e.g., src0_q) would normally require
+    // a limit check, but q4_0 / q4_1 tensors are very unlikely to exceed that
+    // limit, so the check is omitted.
+
+    // q4_1 x fp32
+    if (src0t == GGML_TYPE_Q4_1 && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q4_1_f32_adreno(backend, src0, src1, dst);
+            return;
+    }
+
     // q8_0 x fp32
     if (src0t == GGML_TYPE_Q8_0 && src1t == GGML_TYPE_F32 &&
         enable_adreno_trans_weight(backend_ctx, src0)) {
@@ -8886,19 +9842,61 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
                     mem_src0 = backend_ctx->prealloc_src0.buffer;
                     offset0_cont = 0;
                 }
-
-                if (!ggml_is_contiguous(src1)) {
-                    backend_ctx->prealloc_src1.allocate(backend_ctx->context, ggml_nbytes(src1));
-                    ggml_cl_copy_to_contiguous(backend, src1, backend_ctx->prealloc_src1.buffer,
-                            nb10_cont, nb11_cont, nb12_cont, nb13_cont);
-                    mem_src1 = backend_ctx->prealloc_src1.buffer;
-                    offset1_cont = 0;
+
+                if (!ggml_is_contiguous(src1)) {
+                    backend_ctx->prealloc_src1.allocate(backend_ctx->context, ggml_nbytes(src1));
+                    ggml_cl_copy_to_contiguous(backend, src1, backend_ctx->prealloc_src1.buffer,
+                            nb10_cont, nb11_cont, nb12_cont, nb13_cont);
+                    mem_src1 = backend_ctx->prealloc_src1.buffer;
+                    offset1_cont = 0;
+                }
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &mem_src0));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0_cont));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &mem_src1));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1_cont));
+                CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
+                CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+                CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+                CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+                CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne11));
+                CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+                CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne10)); // stride_a
+                CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne10)); // stride_b
+                CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne01)); // stride_d
+                CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &batch_stride_a));
+                CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &batch_stride_b));
+                CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &batch_stride_d));
+                CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &r2));
+                CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &r3));
+
+                // 64 is block tile size BM and BN - change here when BM and BN in the kernel are changed.
+                size_t global_work_size[] = {(size_t)(CEIL_DIV(ne01, 64)*nth0), (size_t)(CEIL_DIV(ne11, 64)), (size_t)ne12*ne13};
+                size_t local_work_size[] = {(size_t)nth0, 1, 1};
+
+                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+                return;
+            }
+            case GGML_TYPE_Q4_0: {
+                if (ne11 < 32) {
+                    break;
+                }
+                if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+                    break;
                 }
 
-                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &mem_src0));
-                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0_cont));
-                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &mem_src1));
-                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1_cont));
+                kernel = backend_ctx->kernel_mul_mm_q4_0_f32_l4_lm;
+                nth0 = 128; // calculated as (BM*BN)/(TM*TN)
+
+                int batch_stride_a = ne00*ne01;
+                int batch_stride_b = ne10*ne11;
+                int batch_stride_d = ne0*ne1;
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q4_0->q));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q4_0->d));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1));
                 CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
                 CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
                 CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
@@ -8922,6 +9920,49 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
                 backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
                 return;
             }
+            case GGML_TYPE_Q4_1: {
+                if (ne11 < 32) {
+                    break;
+                }
+                if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+                    break;
+                }
+
+                kernel = backend_ctx->kernel_mul_mm_q4_1_f32_l4_lm;
+                nth0 = 128; // calculated as (BM*BN)/(TM*TN)
+
+                int batch_stride_a = ne00*ne01;
+                int batch_stride_b = ne10*ne11;
+                int batch_stride_d = ne0*ne1;
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q4_1->q));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q4_1->d));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q4_1->m));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra1->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_ulong), &offset1));
+                CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extrad->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &offsetd));
+                CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne00));
+                CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne01));
+                CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne02));
+                CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne11));
+                CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne12));
+                CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne10)); // stride_a
+                CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne10)); // stride_b
+                CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne01)); // stride_d
+                CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &batch_stride_a));
+                CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &batch_stride_b));
+                CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &batch_stride_d));
+                CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &r2));
+                CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &r3));
+
+                // 64 is block tile size BM and BN - change here when BM and BN in the kernel are changed.
+                size_t global_work_size[] = {(size_t)(CEIL_DIV(ne01, 64)*nth0), (size_t)(CEIL_DIV(ne11, 64)), (size_t)ne12*ne13};
+                size_t local_work_size[] = {(size_t)nth0, 1, 1};
+
+                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+                return;
+            }
             case GGML_TYPE_Q8_0: {
                 if (ne11 < 32) {
                     break;
@@ -9262,7 +10303,71 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
             CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
 #endif // GGML_OPENCL_SOA_Q
             break;
-        case GGML_TYPE_Q4_1:
+        case GGML_TYPE_Q4_1: {
+#ifdef GGML_OPENCL_SOA_Q
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 1;
+                ndst = 4;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            kernel = backend_ctx->kernel_mul_mv_q4_1_f32_flat;
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q4_1->q));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q4_1->d));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q4_1->m));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_ulong), &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne02));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne10));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &r3));
+#else
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 1;
+                ndst = 4;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            kernel = backend_ctx->kernel_mul_mv_q4_1_f32;
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne10));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
+#endif // GGML_OPENCL_SOA_Q
+            break;
+        }
         case GGML_TYPE_Q8_0: {
 #ifdef GGML_OPENCL_SOA_Q
             kernel = backend_ctx->kernel_mul_mv_q8_0_f32_flat;
@@ -10020,28 +11125,13 @@ static void ggml_cl_cpy(ggml_backend_t backend, const ggml_tensor * src0, const
     // GGML_OP_DUP and GGML_OP_CONT happen between src0 and dst.
     UNUSED(dst);
 
-    const int ne00 = src0 ? src0->ne[0] : 0;
-    const int ne01 = src0 ? src0->ne[1] : 0;
-    const int ne02 = src0 ? src0->ne[2] : 0;
-    const int ne03 = src0 ? src0->ne[3] : 0;
-
-    const cl_ulong nb00 = src0 ? src0->nb[0] : 0;
-    const cl_ulong nb01 = src0 ? src0->nb[1] : 0;
-    const cl_ulong nb02 = src0 ? src0->nb[2] : 0;
-    const cl_ulong nb03 = src0 ? src0->nb[3] : 0;
-
-    const int ne10 = src1 ? src1->ne[0] : 0;
-    const int ne11 = src1 ? src1->ne[1] : 0;
-    const int ne12 = src1 ? src1->ne[2] : 0;
-    const int ne13 = src1 ? src1->ne[3] : 0;
-
-    const cl_ulong nb10 = src1 ? src1->nb[0] : 0;
-    const cl_ulong nb11 = src1 ? src1->nb[1] : 0;
-    const cl_ulong nb12 = src1 ? src1->nb[2] : 0;
-    const cl_ulong nb13 = src1 ? src1->nb[3] : 0;
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne1, src1, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb1, src1, nb);
 
-    const enum ggml_type src0t = src0 ? src0->type : GGML_TYPE_COUNT;
-    const enum ggml_type src1t = src1 ? src1->type : GGML_TYPE_COUNT;
+    const enum ggml_type src0t = src0->type;
+    const enum ggml_type src1t = src1->type;
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
@@ -10078,6 +11168,15 @@ static void ggml_cl_cpy(ggml_backend_t backend, const ggml_tensor * src0, const
                     GGML_ASSERT(false && "not implemented");
             }
             break;
+        case GGML_TYPE_I32:
+            switch (src1t) {
+                case GGML_TYPE_I32:
+                    kernel = backend_ctx->kernel_cpy_i32_i32;
+                    break;
+                default:
+                    GGML_ASSERT(false && "not implemented");
+            }
+            break;
         default:
             GGML_ASSERT(false && "not implemented");
     }
@@ -10116,6 +11215,89 @@ static void ggml_cl_dup(ggml_backend_t backend, const ggml_tensor * src0, const
     UNUSED(src1);
 }
 
+static void ggml_cl_set(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    GGML_ASSERT((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32) &&
+        src1->type == src0->type && dst->type == src0->type);
+
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne1, src1, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb1, src1, nb);
+    GGML_TENSOR_LOCALS(int,      ne,  dst,  ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb,  dst,  nb);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const cl_ulong pnb1    = ((const int32_t *)dst->op_params)[0];
+    const cl_ulong pnb2    = ((const int32_t *)dst->op_params)[1];
+    const cl_ulong pnb3    = ((const int32_t *)dst->op_params)[2];
+    const cl_ulong offs    = ((const int32_t *)dst->op_params)[3];
+    const bool     inplace = (bool)((const int32_t *)dst->op_params)[4];
+
+    cl_kernel kernel = nullptr;
+
+    // for inplace case, dst is a view of src0 and is updated on top of it
+    // so for non-inplace case, copy src0 to dst first
+    if (!inplace) {
+        ggml_cl_cpy(backend, src0, dst, nullptr);
+    }
+
+    // then copy src1 to dst with specified offset
+    if (src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
+        kernel = backend_ctx->kernel_cpy_f32_f32;
+    } else if (src1->type == GGML_TYPE_I32 && dst->type == GGML_TYPE_I32) {
+        kernel = backend_ctx->kernel_cpy_i32_i32;
+    } else {
+        GGML_ASSERT(false && "not implemented");
+    }
+
+    offsetd += offs;
+    cl_ulong nb = ggml_element_size(dst);
+
+    CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra1->data_device));
+    CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset1));
+    CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extrad->data_device));
+    CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offsetd));
+    CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &ne10));
+    CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &ne11));
+    CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne12));
+    CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne13));
+    CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb10));
+    CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb11));
+    CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb12));
+    CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb13));
+    CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne10));
+    CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne11));
+    CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne12));
+    CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &ne13));
+    CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong), &nb));
+    CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_ulong), &pnb1));
+    CL_CHECK(clSetKernelArg(kernel, 18, sizeof(cl_ulong), &pnb2));
+    CL_CHECK(clSetKernelArg(kernel, 19, sizeof(cl_ulong), &pnb3));
+
+    int max_local_size = backend_ctx->get_kernel_workgroup_size(kernel);
+
+    const int nth = MIN(max_local_size, ne00);
+
+    size_t global_work_size[] = {(size_t)ne11*nth, (size_t)ne12, (size_t)ne13};
+    size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+}
+
 static void ggml_cl_diag_mask_inf(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -10178,6 +11360,49 @@ static void ggml_cl_diag_mask_inf(ggml_backend_t backend, const ggml_tensor * sr
     }
 }
 
+static void ggml_cl_diag(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    UNUSED(src1);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne,  dst,  ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb,  dst,  nb);
+
+    cl_kernel kernel = backend_ctx->kernel_diag_f32;
+
+    CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+    CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+    CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extrad->data_device));
+    CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offsetd));
+    CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_ulong), &nb01));
+    CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &nb02));
+    CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &nb03));
+    CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_int),   &ne0));
+    CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb0));
+    CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb2));
+    CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb3));
+
+    int nth = 64;
+
+    size_t global_work_size[] = {(size_t)ne1*nth, (size_t)ne2, (size_t)ne3};
+    size_t local_work_size[] = {(size_t)nth, 1, 1};
+
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+}
+
 static void ggml_cl_soft_max(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -10692,7 +11917,6 @@ static void ggml_cl_sum_rows(ggml_backend_t backend, const ggml_tensor * src0, c
     GGML_UNUSED(src1);
 
     GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type));
-    GGML_ASSERT(ggml_is_contiguous(src0));
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
@@ -10715,7 +11939,14 @@ static void ggml_cl_sum_rows(ggml_backend_t backend, const ggml_tensor * src0, c
     const cl_ulong nb2  = dst->nb[2];
     const cl_ulong nb3  = dst->nb[3];
 
-    cl_kernel kernel = backend_ctx->kernel_sum_rows_f32;
+    cl_kernel kernel;
+
+    const bool is_c4 = ne00 % 4 == 0;
+    if (is_c4) {
+        kernel = backend_ctx->kernel_sum_rows_f32_4;
+    } else {
+        kernel = backend_ctx->kernel_sum_rows_f32;
+    }
 
     CL_CHECK(clSetKernelArg(kernel,   0, sizeof(cl_mem),   &extra0->data_device));
     CL_CHECK(clSetKernelArg(kernel,   1, sizeof(cl_ulong), &offset0));
@@ -10732,12 +11963,124 @@ static void ggml_cl_sum_rows(ggml_backend_t backend, const ggml_tensor * src0, c
     CL_CHECK(clSetKernelArg(kernel,  12, sizeof(cl_ulong), &nb2));
     CL_CHECK(clSetKernelArg(kernel,  13, sizeof(cl_ulong), &nb3));
 
-    size_t global_work_size[] = {(size_t)ne01, (size_t)ne02, (size_t)ne03};
+    size_t global_work_size[] = {64 * (size_t)ne01, (size_t)ne02, (size_t)ne03};
     size_t local_work_size[] = {(size_t)64, 1, 1};
 
     backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 }
 
+static void ggml_cl_cumsum(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+    GGML_UNUSED(src1);
+
+    GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type));
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+
+    cl_ulong offset0 = extra0->offset + src0->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+
+    cl_kernel kernel = backend_ctx->kernel_cumsum_blk;
+
+    int max_workgroup_size = backend_ctx->get_kernel_workgroup_size(kernel);
+    int nth = 1;
+    while (nth < ne00 && 2*nth <= max_workgroup_size) {
+        nth *= 2;
+    }
+
+    GGML_ASSERT(ne00 <= nth*nth);
+
+    const int net0 = CEIL_DIV(ne00, nth);
+    const int net1 = ne01;
+    const int net2 = ne02;
+    const int net3 = ne03;
+
+    const cl_ulong nbt0 = sizeof(float);
+    const cl_ulong nbt1 = net0*nbt0;
+    const cl_ulong nbt2 = net1*nbt1;
+    const cl_ulong nbt3 = net2*nbt2;
+
+    static ggml_cl_buffer tmp_buffer;
+    tmp_buffer.allocate(backend_ctx->context, net0*ne01*ne02*ne03*sizeof(float));
+
+    CL_CHECK(clSetKernelArg(kernel,   0, sizeof(cl_mem),   &extra0->data_device));
+    CL_CHECK(clSetKernelArg(kernel,   1, sizeof(cl_ulong), &offset0));
+    CL_CHECK(clSetKernelArg(kernel,   2, sizeof(cl_mem),   &tmp_buffer.buffer));
+    CL_CHECK(clSetKernelArg(kernel,   3, sizeof(cl_mem),   &extrad->data_device));
+    CL_CHECK(clSetKernelArg(kernel,   4, sizeof(cl_ulong), &offsetd));
+    CL_CHECK(clSetKernelArg(kernel,   5, sizeof(int),      &ne00));
+    CL_CHECK(clSetKernelArg(kernel,   6, sizeof(int),      &ne01));
+    CL_CHECK(clSetKernelArg(kernel,   7, sizeof(int),      &ne02));
+    CL_CHECK(clSetKernelArg(kernel,   8, sizeof(int),      &ne03));
+    CL_CHECK(clSetKernelArg(kernel,   9, sizeof(cl_ulong), &nb00));
+    CL_CHECK(clSetKernelArg(kernel,  10, sizeof(cl_ulong), &nb01));
+    CL_CHECK(clSetKernelArg(kernel,  11, sizeof(cl_ulong), &nb02));
+    CL_CHECK(clSetKernelArg(kernel,  12, sizeof(cl_ulong), &nb03));
+    CL_CHECK(clSetKernelArg(kernel,  13, sizeof(int),      &net0));
+    CL_CHECK(clSetKernelArg(kernel,  14, sizeof(int),      &net1));
+    CL_CHECK(clSetKernelArg(kernel,  15, sizeof(int),      &net2));
+
+    size_t global_work_size[] = { (size_t)(nth*net0*ne01), (size_t)ne02, (size_t)ne03};
+    size_t local_work_size[] = { (size_t)nth, 1, 1};
+
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+    if(ne00 > nth) {
+        // if a single workgroup cannot handle an entire row, each workgroup
+        // computes a partial sum and stores to dst, tmp_buffer contains the sum
+        // of the each workgroup; cumsum this buffer and add to the partial sums in dst
+        cl_ulong offsett = 0;
+        kernel = backend_ctx->kernel_cumsum_blk;
+        CL_CHECK(clSetKernelArg(kernel,   0, sizeof(cl_mem),   &tmp_buffer.buffer));
+        CL_CHECK(clSetKernelArg(kernel,   1, sizeof(cl_ulong), &offsett));
+        CL_CHECK(clSetKernelArg(kernel,   2, sizeof(cl_mem),   &tmp_buffer.buffer));
+        CL_CHECK(clSetKernelArg(kernel,   3, sizeof(cl_mem),   &tmp_buffer.buffer));
+        CL_CHECK(clSetKernelArg(kernel,   4, sizeof(cl_ulong), &offsett));
+        CL_CHECK(clSetKernelArg(kernel,   5, sizeof(int),      &net0));
+        CL_CHECK(clSetKernelArg(kernel,   6, sizeof(int),      &ne01));
+        CL_CHECK(clSetKernelArg(kernel,   7, sizeof(int),      &ne02));
+        CL_CHECK(clSetKernelArg(kernel,   8, sizeof(int),      &ne03));
+        CL_CHECK(clSetKernelArg(kernel,   9, sizeof(cl_ulong), &nbt0));
+        CL_CHECK(clSetKernelArg(kernel,  10, sizeof(cl_ulong), &nbt1));
+        CL_CHECK(clSetKernelArg(kernel,  11, sizeof(cl_ulong), &nbt2));
+        CL_CHECK(clSetKernelArg(kernel,  12, sizeof(cl_ulong), &nbt3));
+        CL_CHECK(clSetKernelArg(kernel,  13, sizeof(int),      &net0));
+        CL_CHECK(clSetKernelArg(kernel,  14, sizeof(int),      &net1));
+        CL_CHECK(clSetKernelArg(kernel,  15, sizeof(int),      &net2));
+
+        size_t global_work_size_1[] = { (size_t)net1*nth, (size_t)net2, (size_t)net3};
+        size_t local_work_size_1[] = { (size_t)nth, 1, 1};
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size_1, local_work_size_1, dst);
+
+        kernel = backend_ctx->kernel_cumsum_add;
+        CL_CHECK(clSetKernelArg(kernel,   0, sizeof(cl_mem),   &tmp_buffer.buffer));
+        CL_CHECK(clSetKernelArg(kernel,   1, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,   2, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,   3, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,   4, sizeof(int),      &ne01));
+        CL_CHECK(clSetKernelArg(kernel,   5, sizeof(int),      &ne02));
+        CL_CHECK(clSetKernelArg(kernel,   6, sizeof(int),      &ne03));
+        CL_CHECK(clSetKernelArg(kernel,   7, sizeof(int),      &nbt0));
+        CL_CHECK(clSetKernelArg(kernel,   8, sizeof(int),      &nbt1));
+        CL_CHECK(clSetKernelArg(kernel,   9, sizeof(int),      &nbt2));
+        CL_CHECK(clSetKernelArg(kernel,  10, sizeof(int),      &nbt3));
+
+        size_t global_work_size_2[] = { (size_t)(nth*net0*ne01), (size_t)ne02, (size_t)ne03};
+        size_t local_work_size_2[] = { (size_t)nth, 1, 1};
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size_2, local_work_size_2, dst);
+    }
+}
+
 static void ggml_cl_glu(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -10883,6 +12226,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor
             }
             func = ggml_cl_cpy;
             break;
+        case GGML_OP_SET:
+            if (!any_on_device) {
+                return false;
+            }
+            func = ggml_cl_set;
+            break;
         case GGML_OP_DUP:
         case GGML_OP_CONT:
             if (!any_on_device) {
@@ -10982,6 +12331,18 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor
                     }
                     func = ggml_cl_tanh;
                     break;
+                case GGML_UNARY_OP_NEG:
+                    if (!any_on_device) {
+                        return false;
+                    }
+                    func = ggml_cl_neg;
+                    break;
+                case GGML_UNARY_OP_EXP:
+                    if (!any_on_device) {
+                        return false;
+                    }
+                    func = ggml_cl_exp;
+                    break;
                 case GGML_UNARY_OP_EXPM1:
                     if (!any_on_device) {
                         return false;
@@ -11033,6 +12394,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor
             }
             func = ggml_cl_rms_norm;
             break;
+        case GGML_OP_L2_NORM:
+            if (!any_on_device) {
+                return false;
+            }
+            func = ggml_cl_l2_norm;
+            break;
         case GGML_OP_GROUP_NORM:
             if (!any_on_device) {
                 return false;
@@ -11108,6 +12475,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor
             }
             func = ggml_cl_nop;
             break;
+        case GGML_OP_DIAG:
+            if (!any_on_device) {
+                return false;
+            }
+            func = ggml_cl_diag;
+            break;
         case GGML_OP_DIAG_MASK_INF:
             if (!any_on_device) {
                 return false;
@@ -11150,6 +12523,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor
             }
             func = ggml_cl_sum_rows;
             break;
+        case GGML_OP_CUMSUM:
+            if (!any_on_device) {
+                return false;
+            }
+            func = ggml_cl_cumsum;
+            break;
         case GGML_OP_FLASH_ATTN_EXT:
             if (!any_on_device) {
                 return false;
diff --git a/ggml/src/ggml-opencl/kernels/cpy.cl b/ggml/src/ggml-opencl/kernels/cpy.cl
index 9369351a60c..820aa538a34 100644
--- a/ggml/src/ggml-opencl/kernels/cpy.cl
+++ b/ggml/src/ggml-opencl/kernels/cpy.cl
@@ -182,3 +182,48 @@ kernel void kernel_cpy_f32_f32(
         dst_data[i00] = src[0];
     }
 }
+
+kernel void kernel_cpy_i32_i32(
+        global int * src0,
+        ulong offset0,
+        global int * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne03,
+        ulong nb00,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        int ne0,
+        int ne1,
+        int ne2,
+        int ne3,
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
+) {
+    src0 = (global int*)((global char*)src0 + offset0);
+    dst = (global int*)((global char*)dst + offsetd);
+
+    int i03 = get_group_id(2);
+    int i02 = get_group_id(1);
+    int i01 = get_group_id(0);
+
+    int n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00;
+
+    int i3 = n / (ne2*ne1*ne0);
+    int i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0);
+    int i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0;
+    int i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0);
+
+    global int * dst_data = (global int *) ((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
+
+    for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) {
+        global const int * src = (global int *)((global char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00);
+
+        dst_data[i00] = src[0];
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/cumsum.cl b/ggml/src/ggml-opencl/kernels/cumsum.cl
new file mode 100644
index 00000000000..edfb74b7058
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/cumsum.cl
@@ -0,0 +1,139 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+// max workgroup size is usually 1024, this covers various subgroups sizes
+#define MAX_SUBGROUPS 128
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_32
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_cumsum_blk(
+        global char * src0,
+        ulong offset0,
+        global char * tmp,
+        global char * dst,
+        ulong offsetd,
+        int   ne00,
+        int   ne01,
+        int   ne02,
+        int   ne03,
+        ulong nb00,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        uint net0,
+        uint net1,
+        uint net2
+) {
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    const int nth = get_local_size(0);
+    const int tid = get_local_id(0);
+
+    const uint sg_size = get_sub_group_size();
+    const uint sg_id = get_sub_group_id();
+    const uint sg_lid = get_sub_group_local_id();
+
+    const int ib = i1 / ne01;
+    const int i00 = ib * nth;
+    const int i01 = i1 % ne01;
+    const int i02 = i2;
+    const int i03 = i3;
+
+    global const float * src0_row = (global const float *)(src0 + i03*nb03 + i02*nb02 + i01*nb01);
+    global       float * tmp_row  = (global float *)tmp + net0 * i01 + net0 * net1 * i02 + net0 * net1 * net2 * i03;
+    global       float * dst_row  = (global float *)dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00;
+
+    __local float partial[MAX_SUBGROUPS];
+
+    float v = 0.0f;
+    if (i00 + tid < ne00) {
+        v = src0_row[i00 + tid];
+    }
+
+    float s = sub_group_scan_inclusive_add(v);
+    if (sg_lid == sg_size - 1) {
+        partial[sg_id] = s;
+    }
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    // NB: subgroup size should be larger than number of subgroups
+    // assuming max workgroup size of 1024, subgroup size should be >= 32
+    if (sg_id == 0) {
+        float x = 0.0f;
+        if (sg_lid < get_num_sub_groups()) {
+            x = partial[sg_lid];
+        }
+        float ex = sub_group_scan_exclusive_add(x);
+        if (sg_lid < get_num_sub_groups()) {
+            partial[sg_lid] = ex;
+        }
+    }
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    s += partial[sg_id];
+
+    if (i00 + tid < ne00) {
+        dst_row[i00 + tid] = s;
+    }
+    if (ne00 > nth && tid == nth - 1) {
+        tmp_row[ib] = s;
+    }
+}
+
+kernel void kernel_cumsum_add(
+        global char * tmp,
+        global char * dst,
+        ulong offsetd,
+        int   ne00,
+        int   ne01,
+        int   ne02,
+        int   ne03,
+        uint nbt0,
+        uint nbt1,
+        uint nbt2,
+        uint nbt3
+) {
+    dst  = dst + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    const int nth = get_local_size(0);
+    const int tid = get_local_id(0);
+
+    const int ib = i1 / ne01;
+    if (ib == 0) {
+        return;
+    }
+    const int i00 = ib * nth;
+    const int i01 = i1 % ne01;
+    const int i02 = i2;
+    const int i03 = i3;
+
+    global float * tmp_row  = (global float *)(tmp + nbt1 * i01 + nbt2 * i02 + nbt3 * i03);
+    global float * dst_row  = (global float *)dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00;
+
+    if (i00 + tid < ne00) {
+        dst_row[i00 + tid] += tmp_row[ib - 1];
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/cvt.cl b/ggml/src/ggml-opencl/kernels/cvt.cl
index 9fb434713df..78ef9c177f6 100644
--- a/ggml/src/ggml-opencl/kernels/cvt.cl
+++ b/ggml/src/ggml-opencl/kernels/cvt.cl
@@ -46,6 +46,15 @@ struct block_q4_0
     uint8_t qs[QK4_0 / 2];
 };
 
+//------------------------------------------------------------------------------
+// block_q4_1
+//------------------------------------------------------------------------------
+struct block_q4_1 {
+    half d; // delta
+    half m; // min
+    uchar qs[QK4_1 / 2]; // nibbles / quants
+};
+
 //------------------------------------------------------------------------------
 // block_q6_K
 //------------------------------------------------------------------------------
@@ -148,6 +157,100 @@ kernel void kernel_restore_block_q4_0_noshuffle(
     }
 }
 
+//------------------------------------------------------------------------------
+// kernel_convert_block_q4_1
+// Convert the block_q4_1 format to 2 separate arrays (AOS -> SOA).
+// This kernel does not deshuffle the bits.
+//------------------------------------------------------------------------------
+kernel void kernel_convert_block_q4_1(
+    global struct block_q4_1 * src0,
+    global uchar * dst_q,
+    global half  * dst_d,
+    global half  * dst_m
+) {
+    global struct block_q4_1 * b = (global struct block_q4_1 *) src0 + get_global_id(0);
+    global uchar * q = (global uchar *) dst_q + QK4_1/2*get_global_id(0);
+    global half  * d = (global half *) dst_d + get_global_id(0);
+    global half  * m = (global half *) dst_m + get_global_id(0);
+
+    *d = b->d;
+    *m = b->m;
+
+    for (int i = 0; i < QK4_1/2; ++i) {
+        q[i] = b->qs[i];
+    }
+}
+
+kernel void kernel_restore_block_q4_1(
+    global uchar * src_q,
+    global half  * src_d,
+    global half  * src_m,
+    global struct block_q4_1 * dst
+) {
+    global struct block_q4_1 * b = (global struct block_q4_1 *) dst + get_global_id(0);
+    global uchar * q = (global uchar *) src_q + QK4_1/2*get_global_id(0);
+    global half  * d = (global half *) src_d + get_global_id(0);
+    global half  * m = (global half *) src_m + get_global_id(0);
+
+    b->d = *d;
+    b->m = *m;
+    for (int i = 0; i < QK4_1/2; ++i) {
+        b->qs[i] = q[i];
+    }
+}
+
+kernel void kernel_convert_block_q4_1_noshuffle(
+    global struct block_q4_1 * src0,
+    global uchar * dst_q,
+    global half  * dst_d,
+    global half  * dst_m
+) {
+    global struct block_q4_1 * b = (global struct block_q4_1 *) src0 + get_global_id(0);
+    global uchar * q = (global uchar *) dst_q + QK4_1/2*get_global_id(0);
+    global half  * d = (global half *) dst_d + get_global_id(0);
+    global half  * m = (global half *) dst_m + get_global_id(0);
+
+    *d = b->d;
+    *m = b->m;
+    for (int i = 0; i < QK4_1/4; ++i) {
+        uchar x0 = b->qs[2*i + 0];
+        uchar x1 = b->qs[2*i + 1];
+
+        q[i + 0      ] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4);
+        q[i + QK4_1/4] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0);
+
+#ifdef ADRENO_GPU
+        if (get_global_id(0) == 65536*4096) {
+            printf("%04x - %02x\n", *(global ushort*)d, ((x0 & 0xF0) >> 4) | (x1 & 0xF0));
+        }
+#endif
+    }
+}
+
+kernel void kernel_restore_block_q4_1_noshuffle(
+    global uchar * src_q,
+    global half  * src_d,
+    global half  * src_m,
+    global struct block_q4_1 * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_1 * b = (global struct block_q4_1 *) dst + get_global_id(0);
+    global uchar * q = (global uchar *) src_q + QK4_1/2*get_global_id(0);
+    global half  * d = (global half *) src_d + get_global_id(0);
+    global half  * m = (global half *) src_m + get_global_id(0);
+
+    b->d = *d;
+    b->m = *m;
+    for (int i = 0; i < QK4_1/4; ++i) {
+        uchar x0 = q[i + 0      ] ;
+        uchar x1 = q[i + QK4_1/4];
+
+        b->qs[2*i + 0] = convert_uchar((x0 & mask_0F) | ((x1 & mask_0F) << 4));
+        b->qs[2*i + 1] = convert_uchar(((x0 & mask_F0) >> 4) | (x1 & mask_F0));
+    }
+}
+
 //------------------------------------------------------------------------------
 // block_mxfp4
 //------------------------------------------------------------------------------
diff --git a/ggml/src/ggml-opencl/kernels/diag.cl b/ggml/src/ggml-opencl/kernels/diag.cl
new file mode 100644
index 00000000000..884efa08fdd
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/diag.cl
@@ -0,0 +1,27 @@
+kernel void kernel_diag_f32(
+    global const char * src0,
+    ulong               offset0,
+    global       char * dst,
+    ulong               offsetd,
+    ulong               nb01,
+    ulong               nb02,
+    ulong               nb03,
+    int                 ne0,
+    ulong               nb0,
+    ulong               nb2,
+    ulong               nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
+
+    int i3 = get_group_id(2);
+    int i2 = get_group_id(1);
+    int i1 = get_group_id(0);
+
+    global const float * src0_ptr = (global const float *)(src0 +           i2*nb02 + i3*nb03);
+    global       float * dst_ptr  = (global       float *)(dst  + i1*nb01 + i2*nb2  + i3*nb3);
+
+    for (int i0 = get_local_id(0); i0 < ne0; i0 += get_local_size(0)) {
+        dst_ptr[i0] = i0 == i1 ? src0_ptr[i0] : 0.0f;
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/exp.cl b/ggml/src/ggml-opencl/kernels/exp.cl
new file mode 100644
index 00000000000..a2458b6579c
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/exp.cl
@@ -0,0 +1,125 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+kernel void kernel_exp_f32(
+        global const float * src0,
+        ulong                offset0,
+        global       float * dst,
+        ulong                offsetd,
+        int                  n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global float*)((global char*)src0 + offset0);
+    dst  = (global float*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]);
+}
+
+kernel void kernel_exp_f32_4(
+        global const float4 * src0,
+        ulong                 offset0,
+        global       float4 * dst,
+        ulong                 offsetd,
+        int                   n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global float4*)((global char*)src0 + offset0);
+    dst  = (global float4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]);
+}
+
+kernel void kernel_exp_f16(
+        global const half * src0,
+        ulong               offset0,
+        global       half * dst,
+        ulong               offsetd,
+        int                 n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global half*)((global char*)src0 + offset0);
+    dst  = (global half*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]);
+}
+
+kernel void kernel_exp_f16_4(
+        global const half4 * src0,
+        ulong                offset0,
+        global       half4 * dst,
+        ulong                offsetd,
+        int                  n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global half4*)((global char*)src0 + offset0);
+    dst  = (global half4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]);
+}
+
+kernel void kernel_exp_f32_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
+        ulong nb00,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const float * x = (global const float *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       float * y = (global       float *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+        *y = exp(*x);
+    }
+}
+
+kernel void kernel_exp_f16_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
+        ulong nb00,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const half * x = (global const half *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       half * y = (global       half *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+        *y = exp(*x);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/expm1.cl b/ggml/src/ggml-opencl/kernels/expm1.cl
index 126298a2cdb..05442ac2043 100644
--- a/ggml/src/ggml-opencl/kernels/expm1.cl
+++ b/ggml/src/ggml-opencl/kernels/expm1.cl
@@ -3,80 +3,111 @@
 //------------------------------------------------------------------------------
 // expm1
 //------------------------------------------------------------------------------
-kernel void kernel_expm1_f32_nd(
-        global void * p_src0_base,
-        ulong off_src0_abs,
-        global void * p_dst_base,
-        ulong off_dst_abs,
-        int ne00,
-        int ne01,
-        int ne02,
-        int ne03,
+
+kernel void kernel_expm1_f32(
+        global const float * src0,
+        ulong                offset0,
+        global       float * dst,
+        ulong                offsetd
+) {
+    src0 = (global float*)((global char*)src0 + offset0);
+    dst  = (global float*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]) - 1.0f;
+}
+
+kernel void kernel_expm1_f32_4(
+        global const float4 * src0,
+        ulong                 offset0,
+        global       float4 * dst,
+        ulong                 offsetd
+) {
+    src0 = (global float4*)((global char*)src0 + offset0);
+    dst  = (global float4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]) - 1.0f;
+}
+
+kernel void kernel_expm1_f16(
+        global const half * src0,
+        ulong               offset0,
+        global       half * dst,
+        ulong               offsetd
+) {
+    src0 = (global half*)((global char*)src0 + offset0);
+    dst  = (global half*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]) - 1.0h;
+}
+
+kernel void kernel_expm1_f16_4(
+        global const half4 * src0,
+        ulong                offset0,
+        global       half4 * dst,
+        ulong                offsetd
+) {
+    src0 = (global half4*)((global char*)src0 + offset0);
+    dst  = (global half4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = exp(src0[get_global_id(0)]) - 1.0h;
+}
+
+kernel void kernel_expm1_f32_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
         ulong nb00,
         ulong nb01,
         ulong nb02,
         ulong nb03,
-        int ne10,
-        int ne11,
-        int ne12,
-        int ne13,
-        ulong nb10,
-        ulong nb11,
-        ulong nb12,
-        ulong nb13
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
 ) {
-    int i0 = get_global_id(0);
-    int i1 = get_global_id(1);
-    int i2 = get_global_id(2);
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
 
-    if (i0 < ne10 && i1 < ne11 && i2 < ne12) {
-        for (int i3 = 0; i3 < ne13; ++i3) {
-            ulong src_offset_in_tensor = (ulong)i0*nb00 + (ulong)i1*nb01 + (ulong)i2*nb02 + (ulong)i3*nb03;
-            global const float *src_val_ptr = (global const float *)((global char *)p_src0_base + off_src0_abs + src_offset_in_tensor);
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
 
-            ulong dst_offset_in_tensor = (ulong)i0*nb10 + (ulong)i1*nb11 + (ulong)i2*nb12 + (ulong)i3*nb13;
-            global float *dst_val_ptr = (global float *)((global char *)p_dst_base + off_dst_abs + dst_offset_in_tensor);
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const float * x = (global const float *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       float * y = (global       float *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-            *dst_val_ptr = exp(*src_val_ptr) - 1;
-        }
+        *y = exp(*x) - 1.0f;
     }
 }
 
-kernel void kernel_expm1_f16_nd(
-        global void * p_src0_base,
-        ulong off_src0_abs,
-        global void * p_dst_base,
-        ulong off_dst_abs,
-        int ne00,
-        int ne01,
-        int ne02,
-        int ne03,
+kernel void kernel_expm1_f16_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
         ulong nb00,
         ulong nb01,
         ulong nb02,
         ulong nb03,
-        int ne10,
-        int ne11,
-        int ne12,
-        int ne13,
-        ulong nb10,
-        ulong nb11,
-        ulong nb12,
-        ulong nb13
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
 ) {
-    int i0 = get_global_id(0);
-    int i1 = get_global_id(1);
-    int i2 = get_global_id(2);
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
 
-    if (i0 < ne10 && i1 < ne11 && i2 < ne12) {
-        for (int i3 = 0; i3 < ne13; ++i3) {
-            ulong src_offset_in_tensor = (ulong)i0*nb00 + (ulong)i1*nb01 + (ulong)i2*nb02 + (ulong)i3*nb03;
-            global const half *src_val_ptr = (global const half *)((global char *)p_src0_base + off_src0_abs + src_offset_in_tensor);
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
 
-            ulong dst_offset_in_tensor = (ulong)i0*nb10 + (ulong)i1*nb11 + (ulong)i2*nb12 + (ulong)i3*nb13;
-            global half *dst_val_ptr = (global half *)((global char *)p_dst_base + off_dst_abs + dst_offset_in_tensor);
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const half * x = (global const half *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       half * y = (global       half *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-            *dst_val_ptr = exp(*src_val_ptr) - 1;
-        }
+        *y = exp(*x) - 1.0f;
     }
 }
diff --git a/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_1_f32.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_1_f32.cl
new file mode 100644
index 00000000000..5c4d5cc8e2c
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_1_f32.cl
@@ -0,0 +1,132 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+
+kernel void kernel_gemm_noshuffle_q4_1_f32(
+    global const ushort * src0_q,
+    global const half  * src0_d,
+    global const half  * src0_m,
+    read_only image1d_buffer_t src1,
+    global float * dst,
+    ulong offsetd,
+    int m,
+    int n,
+    int k,
+    int n_no_padding
+) {
+    dst = (global float *)((global char *)dst + offsetd);
+
+    int m_4 = m >> 2;
+    int n_4 = n >> 2;
+
+    int gy = get_global_id(0);
+    int gx = get_global_id(1);
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    global const ushort* weight_ptr = src0_q + gx_2;
+    global const half*   scale_ptr  = src0_d + gx_2;
+    global const half*   min_ptr    = src0_m + gx_2;
+
+    for(int i = 0; i < k; i += 4) {
+        B.s0123 = read_imageh(src1, gy*2 + (i)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i)*(n_4)+1);
+
+        ushort4 bits4 = vload4(0, weight_ptr + (i/4)*(m));
+
+        half4 scale = vload4(0, scale_ptr + (i/32)*(m));
+        half4 minv  = vload4(0,   min_ptr + (i/32)*(m));
+
+        // j=0
+        dequantized_weights.s0 = (bits4.s0 & (0x000F)) * scale.s0 + minv.s0;
+        dequantized_weights.s1 = (bits4.s1 & (0x000F)) * scale.s1 + minv.s1;
+        dequantized_weights.s2 = (bits4.s2 & (0x000F)) * scale.s2 + minv.s2;
+        dequantized_weights.s3 = (bits4.s3 & (0x000F)) * scale.s3 + minv.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=1
+        B.s0123 = read_imageh(src1, gy*2 + (i+1)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i+1)*(n_4)+1);
+        dequantized_weights.s0 = ((bits4.s0 & (0x00F0)) >> 4) * scale.s0 + minv.s0;
+        dequantized_weights.s1 = ((bits4.s1 & (0x00F0)) >> 4) * scale.s1 + minv.s1;
+        dequantized_weights.s2 = ((bits4.s2 & (0x00F0)) >> 4) * scale.s2 + minv.s2;
+        dequantized_weights.s3 = ((bits4.s3 & (0x00F0)) >> 4) * scale.s3 + minv.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=2
+        B.s0123 = read_imageh(src1, gy*2 + (i+2)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i+2)*(n_4)+1);
+        dequantized_weights.s0 = ((bits4.s0 & (0x0F00)) >> 8) * scale.s0 + minv.s0;
+        dequantized_weights.s1 = ((bits4.s1 & (0x0F00)) >> 8) * scale.s1 + minv.s1;
+        dequantized_weights.s2 = ((bits4.s2 & (0x0F00)) >> 8) * scale.s2 + minv.s2;
+        dequantized_weights.s3 = ((bits4.s3 & (0x0F00)) >> 8) * scale.s3 + minv.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=3
+        B.s0123 = read_imageh(src1, gy*2 + (i+3)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i+3)*(n_4)+1);
+        dequantized_weights.s0 = ((bits4.s0 & (0xF000)) >> 12) * scale.s0 + minv.s0;
+        dequantized_weights.s1 = ((bits4.s1 & (0xF000)) >> 12) * scale.s1 + minv.s1;
+        dequantized_weights.s2 = ((bits4.s2 & (0xF000)) >> 12) * scale.s2 + minv.s2;
+        dequantized_weights.s3 = ((bits4.s3 & (0xF000)) >> 12) * scale.s3 + minv.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl
index f944ef3a992..9703b693e56 100644
--- a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl
@@ -121,7 +121,7 @@
 #ifdef ADRENO_GPU
 REQD_SUBGROUP_SIZE_64
 #endif
-__kernel void kernel_gemv_noshuffle(
+__kernel void kernel_gemv_noshuffle_q8_0_f32(
         __read_only  image1d_buffer_t src0_q,  // quantized A
         global half  * src0_d,  // A scales
         __read_only  image1d_buffer_t src1,    // B
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_1_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_1_f32.cl
new file mode 100644
index 00000000000..fdc1472454f
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_1_f32.cl
@@ -0,0 +1,283 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
+#endif
+
+#define QK4_0 32
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_hi(total_sums, bits4, scale, minv, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sums.s0 += ((bits4.s0 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s1 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sums.s0 += ((bits4.s2 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s3 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sums.s0 += ((bits4.s4 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s5 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sums.s0 += ((bits4.s6 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s7 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_lo(total_sums, bits4, scale, minv, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sums.s0 += ((bits4.s0 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s1 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sums.s0 += ((bits4.s2 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s3 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sums.s0 += ((bits4.s4 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s5 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sums.s0 += ((bits4.s6 & 0x000F) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s7 & 0x000F) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8) * scale.s1 + minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_hi(total_sums, bits4, scale, minv, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sums.s0 += ((bits4.s0 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s2 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s1 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s3 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sums.s0 += ((bits4.s4 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s6 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s5 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s7 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s7; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_lo(total_sums, bits4, scale, minv, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sums.s0 += ((bits4.s0 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s2 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s1 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s3 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sums.s0 += ((bits4.s4 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s6 & 0x000F)         * scale.s0 + minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4)  * scale.s0 + minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8)  * scale.s0 + minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 + minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s5 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s7 & 0x000F)         * scale.s1 + minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4)  * scale.s1 + minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8)  * scale.s1 + minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 + minv.s1) * shared_y.s7; \
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_q4_1_f32(
+        read_only  image1d_buffer_t src0_q,
+        global half2  * src0_d,
+        global half2  * src0_m,
+        read_only  image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01)
+{
+    uint groupId = get_local_id(1);
+    uint gid     = get_global_id(0);
+    ushort slid    = get_sub_group_local_id();
+
+    uint K = ne00;
+    uint M = ne01;
+
+    uint LINE_STRIDE_A = M / 2;
+    uint BLOCK_STRIDE_A = NSUBGROUPS * M;
+
+    private uint4     regA;
+    private half2     regS;
+    private half2     regM;
+    private float8    regB;
+
+    private float2 totalSum = (float2)(0.0f);
+
+    // loop along K in block granularity, skip 4 blocks every iter
+    for (uint k = groupId; k < (K / QK4_0); k += NSUBGROUPS) {
+        regS = src0_d[gid + k * LINE_STRIDE_A]; // each fiber loads scale of two rows
+        regM = src0_m[gid + k * LINE_STRIDE_A]; // each fiber loads min of two rows
+        // first 4 fibers in each wave load 8 B values to its private scope
+        if (slid < 4) {
+            regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
+            regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
+        }
+
+        // load half weights for two blocks in consecutive rows
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAT
+        dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAT
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAT
+        dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAT
+    }
+
+    // reduction in local memory, assumes #wave=4
+    local float2 reduceLM[SUBGROUP_SIZE * 3];
+    if (groupId == 1) {
+        reduceLM[SUBGROUP_SIZE * 0 + slid] = totalSum;
+    }
+    if (groupId == 2) {
+        reduceLM[SUBGROUP_SIZE * 1 + slid] = totalSum;
+    }
+    if (groupId == 3) {
+        reduceLM[SUBGROUP_SIZE * 2 + slid] = totalSum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 0 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 1 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 2 + slid];
+    }
+
+    // 2 outputs per fiber in wave 0
+    if (groupId == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(totalSum, 0, &(dst[gid * 2]));
+    }
+
+}
diff --git a/ggml/src/ggml-opencl/kernels/l2_norm.cl b/ggml/src/ggml-opencl/kernels/l2_norm.cl
new file mode 100644
index 00000000000..39f400199fa
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/l2_norm.cl
@@ -0,0 +1,71 @@
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_32
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_l2_norm_f32(
+        global void * src0,
+        ulong offset0,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne03,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        float eps,
+        local float * sum
+) {
+    src0 = (global void*)((global char*)src0 + offset0);
+    dst = (global float*)((global char*)dst + offsetd);
+
+    int i03 = get_group_id(2);
+    int i02 = get_group_id(1);
+    int i01 = get_group_id(0);
+
+    global float * x = (global float *) ((global char *) src0 + i03*nb03 + i02*nb02 + i01*nb01);
+    global float * y = (global float *) (dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00);
+
+    float sumf = 0;
+
+    // parallel sum
+    for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) {
+        sumf += x[i00] * x[i00];
+    }
+    sumf = sub_group_reduce_add(sumf);
+
+    if (get_sub_group_local_id() == 0) {
+        sum[get_sub_group_id()] = sumf;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    // broadcast
+    for (uint i = get_local_size(0) / get_max_sub_group_size() / 2; i > 0; i /= 2) {
+       if (get_local_id(0) < i) {
+           sum[get_local_id(0)] += sum[get_local_id(0) + i];
+       }
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    const float scale = 1.0f/sqrt(max(sum[0], eps));
+
+    for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) {
+        y[i00] = x[i00] * scale;
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mean.cl b/ggml/src/ggml-opencl/kernels/mean.cl
index 5c3e8bcd863..7c7e0a587ee 100644
--- a/ggml/src/ggml-opencl/kernels/mean.cl
+++ b/ggml/src/ggml-opencl/kernels/mean.cl
@@ -1,8 +1,13 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
 
+// Most devices have max workgroup size of 1024, so this is enough for subgroup
+// sizes of 16, 32, 64 and 128. Increase this value for smaller subgroups sizes
+#define MAX_SUBGROUPS 64
 kernel void kernel_mean_f32(
-    global float *  src0,
+    global char *  src0,
     ulong           offset0,
-    global float *  dst,
+    global char *  dst,
     ulong           offsetd,
     int             ne00,
     int             ne01,
@@ -15,25 +20,121 @@ kernel void kernel_mean_f32(
     ulong           nb2,
     ulong           nb3
 ) {
-    src0 = (global float *)((global char *)src0 + offset0);
-    dst  = (global float *)((global char *)dst  + offsetd);
+    src0 = src0 + offset0;
+    dst  = dst  + offsetd;
 
-    int i3 = get_global_id(2);
-    int i2 = get_global_id(1);
-    int i1 = get_global_id(0);
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    const int lid = get_local_id(0);
+    const int lsize = get_local_size(0);
+
+    const uint sg_size = get_sub_group_size();
+    const uint sg_id = get_sub_group_id();
+    const uint sg_lid = get_sub_group_local_id();
+
+    __local float lmem[MAX_SUBGROUPS];
 
     if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) {
         return;
     }
 
-    global float * src_row = (global float *) ((global char *) src0 + i1*nb01 + i2*nb02 + i3*nb03);
-    global float * dst_row = (global float *) ((global char *) dst  + i1*nb1  + i2*nb2  + i3*nb3);
+    if(sg_id == 0){
+        lmem[sg_lid] = 0.0f;
+    }
 
-    float row_sum = 0;
+    global float * src_row = (global float *) (src0 + i1*nb01 + i2*nb02 + i3*nb03);
+    global float * dst_row = (global float *) (dst  + i1*nb1  + i2*nb2  + i3*nb3);
 
-    for (int i0 = 0; i0 < ne00; i0++) {
-        row_sum += src_row[i0];
+    float sumf = 0.0f;
+
+    for (int i0 = lid; i0 < ne00; i0 += lsize) {
+        sumf += src_row[i0];
     }
 
-    dst_row[0] = row_sum / ne00;
+    sumf = sub_group_reduce_add(sumf);
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if(sg_lid == 0){
+        lmem[sg_id] = sumf;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    sumf = lmem[sg_lid];
+    sumf = sub_group_reduce_add(sumf);
+
+    if (lid == 0) {
+        dst_row[0] = sumf / ne00;
+    }
+}
+
+kernel void kernel_mean_f32_4(
+    global char *  src0,
+    ulong           offset0,
+    global char *  dst,
+    ulong           offsetd,
+    int             ne00,
+    int             ne01,
+    int             ne02,
+    int             ne03,
+    ulong           nb01,
+    ulong           nb02,
+    ulong           nb03,
+    ulong           nb1,
+    ulong           nb2,
+    ulong           nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst  + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    const int lid = get_local_id(0);
+    const int lsize = get_local_size(0);
+
+    const uint sg_size = get_sub_group_size();
+    const uint sg_id = get_sub_group_id();
+    const uint sg_lid = get_sub_group_local_id();
+
+    __local float lmem[MAX_SUBGROUPS];
+
+    if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) {
+        return;
+    }
+
+    if(sg_id == 0){
+        lmem[sg_lid] = 0.0f;
+    }
+
+    global float4 * src_row = (global float4 *) (src0 + i1*nb01 + i2*nb02 + i3*nb03);
+    global float  * dst_row = (global float  *) (dst  + i1*nb1  + i2*nb2  + i3*nb3);
+
+    float4 sum_vec = (float4)0.0f;
+
+    for (int i0 = lid; i0 < ne00 / 4; i0 += lsize) {
+        sum_vec += src_row[i0];
+    }
+
+    float sumf = dot(sum_vec, (float4)(1.0f));
+    sumf = sub_group_reduce_add(sumf);
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if(sg_lid == 0){
+        lmem[sg_id] = sumf;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    sumf = lmem[sg_lid];
+    sumf = sub_group_reduce_add(sumf);
+
+    if (lid == 0) {
+        dst_row[0] = sumf / ne00;
+    }
 }
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q4_0_f32_l4_lm.cl b/ggml/src/ggml-opencl/kernels/mul_mm_q4_0_f32_l4_lm.cl
new file mode 100644
index 00000000000..4100e3080a2
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mm_q4_0_f32_l4_lm.cl
@@ -0,0 +1,163 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define LOAD_VEC_A 8
+#define LOAD_VEC_B 4
+
+#define BM 64
+#define BN 64
+#define BK 32
+#define TM 4
+#define TN 8
+
+kernel void kernel_mul_mm_q4_0_f32_l4_lm(
+    global uchar4 * src0_q,
+    global half   * src0_d,
+    global float4 * src1,
+    ulong offset1,
+    global float  * dst,
+    ulong offsetd,
+
+    int ne00,
+    int ne01,
+    int ne02,
+    int ne11,
+    int ne12,
+
+    int stride_a,
+    int stride_b,
+    int stride_d,
+
+    int batch_stride_a,
+    int batch_stride_b,
+    int batch_stride_d,
+
+    int r2,
+    int r3
+) {
+    src1 = (global float4*)((global char*)src1 + offset1);
+    dst  = (global float *)((global char*)dst  + offsetd);
+
+    local float buf_a[BM * BK];
+    local float buf_b[BN * BK];
+
+    const int batch_idx = get_global_id(2);
+
+    const int i13 = batch_idx / ne12;
+    const int i12 = batch_idx % ne12;
+
+    const int i03 = i13 / r3;
+    const int i02 = i12 / r2;
+
+    const int batch_idx_a = i03 * ne02 + i02;
+
+    const int ir = get_group_id(0);
+    const int ic = get_group_id(1);
+
+    const int tid = get_local_id(0);
+    const int th_r  = tid % (BM / TM);
+    const int th_c  = tid / (BM / TM);
+
+    const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
+    const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
+    const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
+    const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
+
+    const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
+    const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
+
+    int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
+    int pos_b = (batch_idx   * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
+
+    float sums[TM * TN];
+    float cache_a[TM];
+    float cache_b[TN];
+
+    for (int i = 0; i < TM * TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    for (int block = 0; block < ne00; block += BK) {
+        for (int l = 0; l < BM; l += loadstride_a) {
+            if (ir*BM + loadc_a + l < ne01) {
+                int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
+                int ib  = idx / 4;
+                int iqs = idx % 4;
+
+                float d = (float)src0_d[ib];
+                global uchar4 * qs = src0_q + ib*4 + iqs;
+                uchar4 q = *qs;
+                float4 v1 = (convert_float4((uchar4)((q.s0   )&0x0F, (q.s1   )&0x0F, (q.s2   )&0x0F, (q.s3   )&0x0F)) - 8.0f)*d;
+                float4 v2 = (convert_float4((uchar4)((q.s0>>4)&0x0F, (q.s1>>4)&0x0F, (q.s2>>4)&0x0F, (q.s3>>4)&0x0F)) - 8.0f)*d;
+
+                buf_a[(loadr_a * 4 +  0) * BM + loadc_a + l] = v1.s0;
+                buf_a[(loadr_a * 4 +  1) * BM + loadc_a + l] = v1.s1;
+                buf_a[(loadr_a * 4 +  2) * BM + loadc_a + l] = v1.s2;
+                buf_a[(loadr_a * 4 +  3) * BM + loadc_a + l] = v1.s3;
+                buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = v2.s0;
+                buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = v2.s1;
+                buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = v2.s2;
+                buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = v2.s3;
+            } else {
+                buf_a[(loadr_a * 4 +  0) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  1) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  2) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  3) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = 0.0f;
+            }
+        }
+
+        for (int l = 0; l < BN; l += loadstride_b) {
+            if (ic*BN + loadc_b + l < ne11) {
+                int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
+            } else {
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
+            }
+        }
+
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (int i = 0; i < BK; i++) {
+            for (int j = 0; j < TM; j++) {
+                cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
+            }
+
+            for (int j = 0; j < TN; j++) {
+                cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
+            }
+
+            for (int cc = 0; cc < TN; cc++) {
+                for (int cr = 0; cr < TM; cr++) {
+                    const int sums_idx = cc*TM + cr;
+                    sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
+                }
+            }
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+    }
+
+    const int dr = ir * BM + th_r * TM;
+    const int dc = ic * BN + th_c * TN;
+
+    const int offsets = batch_idx * batch_stride_d;
+
+    for (int cc = 0; cc < TN; cc++) {
+        for (int cr = 0; cr < TM; cr++) {
+            if (dr + cr < ne01 && dc + cc < ne11) {
+                dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q4_1_f32_l4_lm.cl b/ggml/src/ggml-opencl/kernels/mul_mm_q4_1_f32_l4_lm.cl
new file mode 100644
index 00000000000..d0d2f08361e
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mm_q4_1_f32_l4_lm.cl
@@ -0,0 +1,165 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define LOAD_VEC_A 8
+#define LOAD_VEC_B 4
+
+#define BM 64
+#define BN 64
+#define BK 32
+#define TM 4
+#define TN 8
+
+kernel void kernel_mul_mm_q4_1_f32_l4_lm(
+    global uchar4 * src0_q,
+    global half   * src0_d,
+    global half   * src0_m,
+    global float4 * src1,
+    ulong offset1,
+    global float  * dst,
+    ulong offsetd,
+
+    int ne00,
+    int ne01,
+    int ne02,
+    int ne11,
+    int ne12,
+
+    int stride_a,
+    int stride_b,
+    int stride_d,
+
+    int batch_stride_a,
+    int batch_stride_b,
+    int batch_stride_d,
+
+    int r2,
+    int r3
+) {
+    src1 = (global float4*)((global char*)src1 + offset1);
+    dst  = (global float *)((global char*)dst  + offsetd);
+
+    local float buf_a[BM * BK];
+    local float buf_b[BN * BK];
+
+    const int batch_idx = get_global_id(2);
+
+    const int i13 = batch_idx / ne12;
+    const int i12 = batch_idx % ne12;
+
+    const int i03 = i13 / r3;
+    const int i02 = i12 / r2;
+
+    const int batch_idx_a = i03 * ne02 + i02;
+
+    const int ir = get_group_id(0);
+    const int ic = get_group_id(1);
+
+    const int tid = get_local_id(0);
+    const int th_r  = tid % (BM / TM);
+    const int th_c  = tid / (BM / TM);
+
+    const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
+    const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
+    const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
+    const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
+
+    const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
+    const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
+
+    int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
+    int pos_b = (batch_idx   * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
+
+    float sums[TM * TN];
+    float cache_a[TM];
+    float cache_b[TN];
+
+    for (int i = 0; i < TM * TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    for (int block = 0; block < ne00; block += BK) {
+        for (int l = 0; l < BM; l += loadstride_a) {
+            if (ir*BM + loadc_a + l < ne01) {
+                int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
+                int ib  = idx / 4;
+                int iqs = idx % 4;
+
+                float d = (float)src0_d[ib];
+                float m = (float)src0_m[ib];
+                global uchar4 * qs = src0_q + ib*4 + iqs;
+                uchar4 q = *qs;
+                float4 v1 = (convert_float4((uchar4)((q.s0   )&0x0F, (q.s1   )&0x0F, (q.s2   )&0x0F, (q.s3   )&0x0F)))*d + m;
+                float4 v2 = (convert_float4((uchar4)((q.s0>>4)&0x0F, (q.s1>>4)&0x0F, (q.s2>>4)&0x0F, (q.s3>>4)&0x0F)))*d + m;
+
+                buf_a[(loadr_a * 4 +  0) * BM + loadc_a + l] = v1.s0;
+                buf_a[(loadr_a * 4 +  1) * BM + loadc_a + l] = v1.s1;
+                buf_a[(loadr_a * 4 +  2) * BM + loadc_a + l] = v1.s2;
+                buf_a[(loadr_a * 4 +  3) * BM + loadc_a + l] = v1.s3;
+                buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = v2.s0;
+                buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = v2.s1;
+                buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = v2.s2;
+                buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = v2.s3;
+            } else {
+                buf_a[(loadr_a * 4 +  0) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  1) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  2) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  3) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = 0.0f;
+            }
+        }
+
+        for (int l = 0; l < BN; l += loadstride_b) {
+            if (ic*BN + loadc_b + l < ne11) {
+                int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
+            } else {
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
+            }
+        }
+
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (int i = 0; i < BK; i++) {
+            for (int j = 0; j < TM; j++) {
+                cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
+            }
+
+            for (int j = 0; j < TN; j++) {
+                cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
+            }
+
+            for (int cc = 0; cc < TN; cc++) {
+                for (int cr = 0; cr < TM; cr++) {
+                    const int sums_idx = cc*TM + cr;
+                    sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
+                }
+            }
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+    }
+
+    const int dr = ir * BM + th_r * TM;
+    const int dc = ic * BN + th_c * TN;
+
+    const int offsets = batch_idx * batch_stride_d;
+
+    for (int cc = 0; cc < TN; cc++) {
+        for (int cr = 0; cr < TM; cr++) {
+            if (dr + cr < ne01 && dc + cc < ne11) {
+                dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q4_1_f32.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q4_1_f32.cl
new file mode 100644
index 00000000000..6fe828f20e7
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q4_1_f32.cl
@@ -0,0 +1,219 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define QK4_1                   32
+
+struct block_q4_1 {
+    half d; // delta
+    half m; // min
+    uchar qs[QK4_1 / 2]; // nibbles / quants
+};
+
+inline float block_q4_1_dot_y(
+    global const struct block_q4_1 * qb_curr,
+    float sumy,
+    float16 yl,
+    int il
+) {
+    float d = qb_curr->d;
+    float m = qb_curr->m;
+
+    float4 acc = (float4)(0.0f, 0.0f, 0.0f, 0.0f);
+
+    global const ushort * qs = ((global const ushort *) qb_curr + 2 + il/2);
+
+    acc.s0 += yl.s0 * (qs[0] & 0x000F);
+    acc.s0 += yl.s1 * (qs[0] & 0x0F00);
+    acc.s0 += yl.s8 * (qs[0] & 0x00F0);
+    acc.s3 += yl.s9 * (qs[0] & 0xF000);
+
+    acc.s0 += yl.s2 * (qs[1] & 0x000F);
+    acc.s1 += yl.s3 * (qs[1] & 0x0F00);
+    acc.s2 += yl.sa * (qs[1] & 0x00F0);
+    acc.s3 += yl.sb * (qs[1] & 0xF000);
+
+    acc.s0 += yl.s4 * (qs[2] & 0x000F);
+    acc.s1 += yl.s5 * (qs[2] & 0x0F00);
+    acc.s2 += yl.sc * (qs[2] & 0x00F0);
+    acc.s3 += yl.sd * (qs[2] & 0xF000);
+
+    acc.s0 += yl.s6 * (qs[3] & 0x000F);
+    acc.s1 += yl.s7 * (qs[3] & 0x0F00);
+    acc.s2 += yl.se * (qs[3] & 0x00F0);
+    acc.s3 += yl.sf * (qs[3] & 0xF000);
+
+    return d * (acc.s0 + acc.s1 + acc.s2 + acc.s3) + sumy * m;
+}
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST 4 // each subgroup works on 4 rows
+#define N_SIMDGROUP 1 // number of subgroups in a thread group
+#define N_SIMDWIDTH 16 // assuming subgroup size is 16
+#elif defined (ADRENO_GPU)
+#define N_DST 4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 64
+#endif
+
+inline void mul_vec_q_n_f32(
+        global void * src0,
+        global float * src1,
+        global float * dst,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    const ulong nb = ne00/QK4_1;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    ulong offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
+
+    global struct block_q4_1 * x = (global struct block_q4_1 *) src0 + offset0;
+    global float             * y = (global float             *) src1 + r1*ne10 + im*ne00*ne1;
+
+    float16 yl;
+    float4 sumf = (float4)(0.f, 0.f, 0.f, 0.f);
+
+    int ix = get_sub_group_local_id()/2;
+    int il = 8*(get_sub_group_local_id()%2);
+
+    global float * yb = y + ix * QK4_1 + il;
+
+    for (int ib = ix; ib < nb; ib += N_SIMDWIDTH/2) {
+        float sumy = 0;
+
+        sumy += yb[0];
+        sumy += yb[1];
+        sumy += yb[2];
+        sumy += yb[3];
+        sumy += yb[4];
+        sumy += yb[5];
+        sumy += yb[6];
+        sumy += yb[7];
+
+        sumy += yb[16];
+        sumy += yb[17];
+        sumy += yb[18];
+        sumy += yb[19];
+        sumy += yb[20];
+        sumy += yb[21];
+        sumy += yb[22];
+        sumy += yb[23];
+
+
+        yl.s0 = yb[0];
+        yl.s1 = yb[1]/256.f;
+
+        yl.s2 = yb[2];
+        yl.s3 = yb[3]/256.f;
+
+        yl.s4 = yb[4];
+        yl.s5 = yb[5]/256.f;
+
+        yl.s6 = yb[6];
+        yl.s7 = yb[7]/256.f;
+
+        yl.s8 = yb[16]/16.f;
+        yl.s9 = yb[17]/4096.f;
+
+        yl.sa = yb[18]/16.f;
+        yl.sb = yb[19]/4096.f;
+
+        yl.sc = yb[20]/16.f;
+        yl.sd = yb[21]/4096.f;
+
+        yl.se = yb[22]/16.f;
+        yl.sf = yb[23]/4096.f;
+
+        sumf.s0 += block_q4_1_dot_y(x+ib+0*nb, sumy, yl, il);
+        sumf.s1 += block_q4_1_dot_y(x+ib+1*nb, sumy, yl, il);
+        sumf.s2 += block_q4_1_dot_y(x+ib+2*nb, sumy, yl, il);
+        sumf.s3 += block_q4_1_dot_y(x+ib+3*nb, sumy, yl, il);
+
+        yb += QK4_1 * (N_SIMDWIDTH/2);
+    }
+
+    float4 tot = (float4)(
+        sub_group_reduce_add(sumf.s0), sub_group_reduce_add(sumf.s1),
+        sub_group_reduce_add(sumf.s2), sub_group_reduce_add(sumf.s3)
+    );
+
+    if (get_sub_group_local_id() == 0) {
+        if (first_row + 0 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 0] = tot.s0;
+        }
+        if (first_row + 1 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 1] = tot.s1;
+        }
+        if (first_row + 2 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 2] = tot.s2;
+        }
+        if (first_row + 3 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 3] = tot.s3;
+        }
+    }
+}
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q4_1_f32(
+        global void * src0,
+        ulong offset0,
+        global float * src1,
+        ulong offset1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    src0 = (global void*)((global char*)src0 + offset0);
+    src1 = (global float*)((global char*)src1 + offset1);
+    dst = (global float*)((global char*)dst + offsetd);
+
+    mul_vec_q_n_f32(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3);
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q4_1_f32_flat.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q4_1_f32_flat.cl
new file mode 100644
index 00000000000..d7c4645d675
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q4_1_f32_flat.cl
@@ -0,0 +1,229 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define QK4_1                   32
+
+struct block_q4_1 {
+    half d; // delta
+    half m; // min
+    uchar qs[QK4_1 / 2]; // nibbles / quants
+};
+
+inline float block_q4_1_dot_y_flat(
+    global const uchar * x,
+    global const half  * dh,
+    global const half  * mh,
+    float sumy,
+    float16 yl,
+    int il
+) {
+    float                 d   = *dh;
+    float                 m   = *mh;
+    global const ushort * qs = ((global const ushort *) x + il/2);
+
+    float4 acc = (float4)(0.0f, 0.0f, 0.0f, 0.0f);
+
+    acc.s0 += yl.s0 * (qs[0] & 0x000F);
+    acc.s0 += yl.s1 * (qs[0] & 0x0F00);
+    acc.s0 += yl.s8 * (qs[0] & 0x00F0);
+    acc.s3 += yl.s9 * (qs[0] & 0xF000);
+
+    acc.s0 += yl.s2 * (qs[1] & 0x000F);
+    acc.s1 += yl.s3 * (qs[1] & 0x0F00);
+    acc.s2 += yl.sa * (qs[1] & 0x00F0);
+    acc.s3 += yl.sb * (qs[1] & 0xF000);
+
+    acc.s0 += yl.s4 * (qs[2] & 0x000F);
+    acc.s1 += yl.s5 * (qs[2] & 0x0F00);
+    acc.s2 += yl.sc * (qs[2] & 0x00F0);
+    acc.s3 += yl.sd * (qs[2] & 0xF000);
+
+    acc.s0 += yl.s6 * (qs[3] & 0x000F);
+    acc.s1 += yl.s7 * (qs[3] & 0x0F00);
+    acc.s2 += yl.se * (qs[3] & 0x00F0);
+    acc.s3 += yl.sf * (qs[3] & 0xF000);
+
+    return d * (acc.s0 + acc.s1 + acc.s2 + acc.s3) + sumy * m;
+}
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST 4 // each subgroup works on 4 rows
+#define N_SIMDGROUP 1 // number of subgroups in a thread group
+#define N_SIMDWIDTH 16 // assuming subgroup size is 16
+#elif defined (ADRENO_GPU)
+#define N_DST 4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 64
+#endif
+
+inline void mul_vec_q_n_f32_flat(
+        global void * src0_q,
+        global void * src0_d,
+        global void * src0_m,
+        global float * src1,
+        global float * dst,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    const ulong nb = ne00/QK4_1;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    ulong offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
+
+    // The number of scales/mins is the same as the number of blocks.
+    ulong offset0_dm = (first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02));
+    // Each block contains QK4_1/2 uchars, hence offset for qs is as follows.
+    ulong offset0_q  = (first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02)) * QK4_1/2;
+
+    global uchar * x = (global uchar *) src0_q + offset0_q;
+    global half  * d = (global half  *) src0_d + offset0_dm;
+    global half  * m = (global half  *) src0_m + offset0_dm;
+    global float * y = (global float *) src1   + r1*ne10 + im*ne00*ne1;
+
+    float16 yl;
+    float4 sumf = (float4)(0.f, 0.f, 0.f, 0.f);
+
+    int ix = get_sub_group_local_id()/2;
+    int il = 8*(get_sub_group_local_id()%2);
+
+    global float * yb = y + ix * QK4_1 + il;
+
+    for (int ib = ix; ib < nb; ib += N_SIMDWIDTH/2) {
+        float sumy = 0;
+
+        sumy += yb[0];
+        sumy += yb[1];
+        sumy += yb[2];
+        sumy += yb[3];
+        sumy += yb[4];
+        sumy += yb[5];
+        sumy += yb[6];
+        sumy += yb[7];
+
+        sumy += yb[16];
+        sumy += yb[17];
+        sumy += yb[18];
+        sumy += yb[19];
+        sumy += yb[20];
+        sumy += yb[21];
+        sumy += yb[22];
+        sumy += yb[23];
+
+
+        yl.s0 = yb[0];
+        yl.s1 = yb[1]/256.f;
+
+        yl.s2 = yb[2];
+        yl.s3 = yb[3]/256.f;
+
+        yl.s4 = yb[4];
+        yl.s5 = yb[5]/256.f;
+
+        yl.s6 = yb[6];
+        yl.s7 = yb[7]/256.f;
+
+        yl.s8 = yb[16]/16.f;
+        yl.s9 = yb[17]/4096.f;
+
+        yl.sa = yb[18]/16.f;
+        yl.sb = yb[19]/4096.f;
+
+        yl.sc = yb[20]/16.f;
+        yl.sd = yb[21]/4096.f;
+
+        yl.se = yb[22]/16.f;
+        yl.sf = yb[23]/4096.f;
+
+        sumf.s0 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 0*nb*QK4_1/2, d + ib + 0*nb, m + ib + 0*nb, sumy, yl, il);
+        sumf.s1 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 1*nb*QK4_1/2, d + ib + 1*nb, m + ib + 1*nb, sumy, yl, il);
+        sumf.s2 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 2*nb*QK4_1/2, d + ib + 2*nb, m + ib + 2*nb, sumy, yl, il);
+        sumf.s3 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 3*nb*QK4_1/2, d + ib + 3*nb, m + ib + 3*nb, sumy, yl, il);
+
+        yb += QK4_1 * (N_SIMDWIDTH/2);
+    }
+
+    float4 tot = (float4)(
+        sub_group_reduce_add(sumf.s0), sub_group_reduce_add(sumf.s1),
+        sub_group_reduce_add(sumf.s2), sub_group_reduce_add(sumf.s3)
+    );
+
+    if (get_sub_group_local_id() == 0) {
+        if (first_row + 0 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 0] = tot.s0;
+        }
+        if (first_row + 1 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 1] = tot.s1;
+        }
+        if (first_row + 2 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 2] = tot.s2;
+        }
+        if (first_row + 3 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 3] = tot.s3;
+        }
+    }
+}
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q4_1_f32_flat(
+        global void * src0_q,
+        global void * src0_d,
+        global void * src0_m,
+        global float * src1,
+        ulong offset1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    src1 = (global float*)((global char*)src1 + offset1);
+    dst = (global float*)((global char*)dst + offsetd);
+
+    mul_vec_q_n_f32_flat(src0_q, src0_d, src0_m, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3);
+}
diff --git a/ggml/src/ggml-opencl/kernels/neg.cl b/ggml/src/ggml-opencl/kernels/neg.cl
new file mode 100644
index 00000000000..a862d8bc585
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/neg.cl
@@ -0,0 +1,125 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+kernel void kernel_neg_f32(
+        global const float * src0,
+        ulong                offset0,
+        global       float * dst,
+        ulong                offsetd,
+        int                  n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global float*)((global char*)src0 + offset0);
+    dst  = (global float*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = -src0[get_global_id(0)];
+}
+
+kernel void kernel_neg_f32_4(
+        global const float4 * src0,
+        ulong                 offset0,
+        global       float4 * dst,
+        ulong                 offsetd,
+        int                   n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global float4*)((global char*)src0 + offset0);
+    dst  = (global float4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = -src0[get_global_id(0)];
+}
+
+kernel void kernel_neg_f16(
+        global const half * src0,
+        ulong               offset0,
+        global       half * dst,
+        ulong               offsetd,
+        int                 n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global half*)((global char*)src0 + offset0);
+    dst  = (global half*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = -src0[get_global_id(0)];
+}
+
+kernel void kernel_neg_f16_4(
+        global const half4 * src0,
+        ulong                offset0,
+        global       half4 * dst,
+        ulong                offsetd,
+        int                  n
+) {
+    if (get_global_id(0) >= n) {
+        return;
+    }
+    src0 = (global half4*)((global char*)src0 + offset0);
+    dst  = (global half4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = -src0[get_global_id(0)];
+}
+
+kernel void kernel_neg_f32_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
+        ulong nb00,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const float * x = (global const float *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       float * y = (global       float *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+        *y = -*x;
+    }
+}
+
+kernel void kernel_neg_f16_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
+        ulong nb00,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const half * x = (global const half *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       half * y = (global       half *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+        *y = -*x;
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/softplus.cl b/ggml/src/ggml-opencl/kernels/softplus.cl
index 033766e2e07..6f8b7474165 100644
--- a/ggml/src/ggml-opencl/kernels/softplus.cl
+++ b/ggml/src/ggml-opencl/kernels/softplus.cl
@@ -3,86 +3,114 @@
 //------------------------------------------------------------------------------
 // softplus
 //------------------------------------------------------------------------------
-inline float softplus_f32(float x){
-    float ax = fabs(x);
-    float m = fmax(x, 0.0f);
-    return log1p(exp(-ax)) + m;
+
+kernel void kernel_softplus_f32(
+        global const float * src0,
+        ulong                offset0,
+        global       float * dst,
+        ulong                offsetd
+) {
+    src0 = (global float*)((global char*)src0 + offset0);
+    dst  = (global float*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = (src0[get_global_id(0)] > 20.0f) ? src0[get_global_id(0)] : log(1.0f + exp(src0[get_global_id(0)]));
+}
+
+kernel void kernel_softplus_f32_4(
+        global const float4 * src0,
+        ulong                 offset0,
+        global       float4 * dst,
+        ulong                 offsetd
+) {
+    src0 = (global float4*)((global char*)src0 + offset0);
+    dst  = (global float4*)((global char*)dst + offsetd);
+
+    dst[get_global_id(0)] = (src0[get_global_id(0)] > 20.0f) ? src0[get_global_id(0)] : log(1.0f + exp(src0[get_global_id(0)]));
+}
+
+kernel void kernel_softplus_f16(
+        global const half * src0,
+        ulong               offset0,
+        global       half * dst,
+        ulong               offsetd
+) {
+    src0 = (global half*)((global char*)src0 + offset0);
+    dst  = (global half*)((global char*)dst + offsetd);
+
+    const float x = convert_float(src0[get_global_id(0)]);
+    dst[get_global_id(0)] = convert_half_rte((x > 20.0f) ? x : log(1.0f + exp(x)));
+}
+
+kernel void kernel_softplus_f16_4(
+        global const half4 * src0,
+        ulong                offset0,
+        global       half4 * dst,
+        ulong                offsetd
+) {
+    src0 = (global half4*)((global char*)src0 + offset0);
+    dst  = (global half4*)((global char*)dst + offsetd);
+
+    const float4 x = convert_float4(src0[get_global_id(0)]);
+    dst[get_global_id(0)] = convert_half4_rte((x > 20.0f) ? x : log(1.0f + exp(x)));
 }
 
-kernel void kernel_softplus_f32_nd(
-        global void * p_src0_base,
-        ulong off_src0_abs,
-        global void * p_dst_base,
-        ulong off_dst_abs,
-        int ne00,
-        int ne01,
-        int ne02,
-        int ne03,
+kernel void kernel_softplus_f32_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
         ulong nb00,
         ulong nb01,
         ulong nb02,
         ulong nb03,
-        int ne10,
-        int ne11,
-        int ne12,
-        int ne13,
-        ulong nb10,
-        ulong nb11,
-        ulong nb12,
-        ulong nb13
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
 ) {
-    int i0 = get_global_id(0);
-    int i1 = get_global_id(1);
-    int i2 = get_global_id(2);
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
 
-    if (i0 < ne10 && i1 < ne11 && i2 < ne12) {
-        for (int i3 = 0; i3 < ne13; ++i3) {
-            ulong src_offset_in_tensor = (ulong)i0*nb00 + (ulong)i1*nb01 + (ulong)i2*nb02 + (ulong)i3*nb03;
-            global const float *src_val_ptr = (global const float *)((global char *)p_src0_base + off_src0_abs + src_offset_in_tensor);
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
 
-            ulong dst_offset_in_tensor = (ulong)i0*nb10 + (ulong)i1*nb11 + (ulong)i2*nb12 + (ulong)i3*nb13;
-            global float *dst_val_ptr = (global float *)((global char *)p_dst_base + off_dst_abs + dst_offset_in_tensor);
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const float * x = (global const float *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       float * y = (global       float *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-            *dst_val_ptr = softplus_f32(*src_val_ptr);
-        }
+        *y = (*x > 20.0f) ? *x : log(1.0f + exp(*x));
     }
 }
 
-kernel void kernel_softplus_f16_nd(
-        global void * p_src0_base,
-        ulong off_src0_abs,
-        global void * p_dst_base,
-        ulong off_dst_abs,
-        int ne00,
-        int ne01,
-        int ne02,
-        int ne03,
+kernel void kernel_softplus_f16_nc(
+        global const char * src0,
+        ulong               offset0,
+        global       char * dst,
+        ulong               offsetd,
+        int   ne00,
         ulong nb00,
         ulong nb01,
         ulong nb02,
         ulong nb03,
-        int ne10,
-        int ne11,
-        int ne12,
-        int ne13,
-        ulong nb10,
-        ulong nb11,
-        ulong nb12,
-        ulong nb13
+        ulong nb0,
+        ulong nb1,
+        ulong nb2,
+        ulong nb3
 ) {
-    int i0 = get_global_id(0);
-    int i1 = get_global_id(1);
-    int i2 = get_global_id(2);
+    src0 = src0 + offset0;
+    dst  = dst + offsetd;
 
-    if (i0 < ne10 && i1 < ne11 && i2 < ne12) {
-        for (int i3 = 0; i3 < ne13; ++i3) {
-            ulong src_offset_in_tensor = (ulong)i0*nb00 + (ulong)i1*nb01 + (ulong)i2*nb02 + (ulong)i3*nb03;
-            global const half *src_val_ptr = (global const half *)((global char *)p_src0_base + off_src0_abs + src_offset_in_tensor);
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
 
-            ulong dst_offset_in_tensor = (ulong)i0*nb10 + (ulong)i1*nb11 + (ulong)i2*nb12 + (ulong)i3*nb13;
-            global half *dst_val_ptr = (global half *)((global char *)p_dst_base + off_dst_abs + dst_offset_in_tensor);
+    for (int i0 = get_local_id(0); i0 < ne00; i0 += get_local_size(0)) {
+        global const half * hx = (global const half *)(src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+        global       half * hy = (global       half *)(dst  + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-            *dst_val_ptr = (half)(softplus_f32((float)(*src_val_ptr)));
-        }
+        const float x = convert_float(*hx);
+        *hy = convert_half_rte((x > 20.0f) ? x : log(1.0f + exp(x)));
     }
 }
diff --git a/ggml/src/ggml-opencl/kernels/sum_rows.cl b/ggml/src/ggml-opencl/kernels/sum_rows.cl
index c5f7c570f95..84630aa8a30 100644
--- a/ggml/src/ggml-opencl/kernels/sum_rows.cl
+++ b/ggml/src/ggml-opencl/kernels/sum_rows.cl
@@ -1,8 +1,13 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
 
+// Most devices have max workgroup size of 1024, so this is enough for subgroup
+// sizes of 16, 32, 64 and 128. Increase this value for smaller subgroups sizes
+#define MAX_SUBGROUPS 64
 kernel void kernel_sum_rows_f32(
-    global float *  src0,
+    global char *  src0,
     ulong           offset0,
-    global float *  dst,
+    global char *  dst,
     ulong           offsetd,
     int             ne00,
     int             ne01,
@@ -15,25 +20,121 @@ kernel void kernel_sum_rows_f32(
     ulong           nb2,
     ulong           nb3
 ) {
-    src0 = (global float *)((global char *)src0 + offset0);
-    dst  = (global float *)((global char *)dst  + offsetd);
+    src0 = src0 + offset0;
+    dst  = dst  + offsetd;
 
-    int i3 = get_global_id(2);
-    int i2 = get_global_id(1);
-    int i1 = get_global_id(0);
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    const int lid = get_local_id(0);
+    const int lsize = get_local_size(0);
+
+    const uint sg_size = get_sub_group_size();
+    const uint sg_id = get_sub_group_id();
+    const uint sg_lid = get_sub_group_local_id();
+
+    __local float lmem[MAX_SUBGROUPS];
 
     if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) {
         return;
     }
 
-    global float * src_row = (global float *) ((global char *) src0 + i1*nb01 + i2*nb02 + i3*nb03);
-    global float * dst_row = (global float *) ((global char *) dst  + i1*nb1  + i2*nb2  + i3*nb3);
+    if(sg_id == 0){
+        lmem[sg_lid] = 0.0f;
+    }
 
-    float row_sum = 0;
+    global float * src_row = (global float *) (src0 + i1*nb01 + i2*nb02 + i3*nb03);
+    global float * dst_row = (global float *) (dst  + i1*nb1  + i2*nb2  + i3*nb3);
 
-    for (int i0 = 0; i0 < ne00; i0++) {
-        row_sum += src_row[i0];
+    float sumf = 0.0f;
+
+    for (int i0 = lid; i0 < ne00; i0 += lsize) {
+        sumf += src_row[i0];
     }
 
-    dst_row[0] = row_sum;
+    sumf = sub_group_reduce_add(sumf);
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if(sg_lid == 0){
+        lmem[sg_id] = sumf;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    sumf = lmem[sg_lid];
+    sumf = sub_group_reduce_add(sumf);
+
+    if (lid == 0) {
+        dst_row[0] = sumf;
+    }
+}
+
+kernel void kernel_sum_rows_f32_4(
+    global char *  src0,
+    ulong           offset0,
+    global char *  dst,
+    ulong           offsetd,
+    int             ne00,
+    int             ne01,
+    int             ne02,
+    int             ne03,
+    ulong           nb01,
+    ulong           nb02,
+    ulong           nb03,
+    ulong           nb1,
+    ulong           nb2,
+    ulong           nb3
+) {
+    src0 = src0 + offset0;
+    dst  = dst  + offsetd;
+
+    const int i3 = get_group_id(2);
+    const int i2 = get_group_id(1);
+    const int i1 = get_group_id(0);
+
+    const int lid = get_local_id(0);
+    const int lsize = get_local_size(0);
+
+    const uint sg_size = get_sub_group_size();
+    const uint sg_id = get_sub_group_id();
+    const uint sg_lid = get_sub_group_local_id();
+
+    __local float lmem[MAX_SUBGROUPS];
+
+    if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) {
+        return;
+    }
+
+    if(sg_id == 0){
+        lmem[sg_lid] = 0.0f;
+    }
+
+    global float4 * src_row = (global float4 *) (src0 + i1*nb01 + i2*nb02 + i3*nb03);
+    global float  * dst_row = (global float  *) (dst  + i1*nb1  + i2*nb2  + i3*nb3);
+
+    float4 sum_vec = (float4)0.0f;
+
+    for (int i0 = lid; i0 < ne00 / 4; i0 += lsize) {
+        sum_vec += src_row[i0];
+    }
+
+    float sumf = dot(sum_vec, (float4)(1.0f));
+    sumf = sub_group_reduce_add(sumf);
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if(sg_lid == 0){
+        lmem[sg_id] = sumf;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    sumf = lmem[sg_lid];
+    sumf = sub_group_reduce_add(sumf);
+
+    if (lid == 0) {
+        dst_row[0] = sumf;
+    }
 }
diff --git a/ggml/src/ggml-opencl/kernels/transpose.cl b/ggml/src/ggml-opencl/kernels/transpose.cl
index 1279b6531b9..ad89bdcbdec 100644
--- a/ggml/src/ggml-opencl/kernels/transpose.cl
+++ b/ggml/src/ggml-opencl/kernels/transpose.cl
@@ -44,6 +44,19 @@ kernel void kernel_transpose_16_4x1(
     write_imageh(output, i * rows + j, (half4)(temp0, temp1, temp2, temp3));
 }
 
+// Transpose treating each element as 8-bit using buffer
+kernel void kernel_transpose_8_buf(
+    global const uchar * input,
+    global uchar * output,
+    const int ldi,
+    const int ldo
+) {
+    const int x = get_global_id(0);
+    const int y = get_global_id(1);
+
+    output[x*ldo + y] = input[y*ldi + x];
+}
+
 // Transpose treating each element as 16-bit using buffer
 kernel void kernel_transpose_16_buf(
     global const ushort * input,
@@ -57,6 +70,19 @@ kernel void kernel_transpose_16_buf(
     output[x*ldo + y] = input[y*ldi + x];
 }
 
+// Transpose treating each element as 32-bit using buffer
+kernel void kernel_transpose_32_buf(
+    global const uint * input,
+    global uint * output,
+    const int ldi,
+    const int ldo
+) {
+    const int x = get_global_id(0);
+    const int y = get_global_id(1);
+
+    output[x*ldo + y] = input[y*ldi + x];
+}
+
 // 32-bit transpose, loading/storing a 4x4 tile of elements
 kernel void kernel_transpose_32(
     __read_only image1d_buffer_t input,
diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c
index de5cbd75e86..cdaded865b1 100644
--- a/ggml/src/ggml-quants.c
+++ b/ggml/src/ggml-quants.c
@@ -304,6 +304,41 @@ void quantize_row_mxfp4_ref(const float * GGML_RESTRICT x, block_mxfp4 * GGML_RE
     }
 }
 
+void quantize_row_nvfp4_ref(const float * GGML_RESTRICT x, block_nvfp4 * GGML_RESTRICT y, int64_t k) {
+    static const int qk = QK_NVFP4;
+    static const int qk_sub = QK_NVFP4_SUB;
+    static const int n_sub = QK_NVFP4 / QK_NVFP4_SUB;
+
+    assert(k % qk == 0);
+
+    const int nb = k / qk;
+
+    for (int i = 0; i < nb; i++) {
+        for (int s = 0; s < n_sub; s++) {
+            const float * xb = x + i*qk + s*qk_sub;
+
+            float amax = 0.0f;
+            for (int j = 0; j < qk_sub; j++) {
+                if (amax < fabsf(xb[j])) {
+                    amax = fabsf(xb[j]);
+                }
+            }
+
+            // UE4M3 scale: amax / 6.0 maps the max E2M1 value (6.0) to amax
+            const uint8_t ue = ggml_fp32_to_ue4m3(amax / 6.0f);
+            y[i].d[s] = ue;
+            const float d = ggml_ue4m3_to_fp32(ue);
+
+            for (int j = 0; j < qk_sub/2; ++j) {
+                const uint8_t x0 = best_index_mxfp4(xb[0        + j], d);
+                const uint8_t x1 = best_index_mxfp4(xb[qk_sub/2 + j], d);
+
+                y[i].qs[s*(qk_sub/2) + j] = x0 | (x1 << 4);
+            }
+        }
+    }
+}
+
 void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
     static const int qk = QK4_0;
 
@@ -434,6 +469,31 @@ void dequantize_row_mxfp4(const block_mxfp4 * GGML_RESTRICT x, float * GGML_REST
     }
 }
 
+void dequantize_row_nvfp4(const block_nvfp4 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
+    static const int qk = QK_NVFP4;
+    static const int qk_sub = QK_NVFP4_SUB;
+    static const int n_sub = QK_NVFP4 / QK_NVFP4_SUB;
+
+    assert(k % qk == 0);
+
+    const int nb = k / qk;
+
+    for (int i = 0; i < nb; i++) {
+        for (int s = 0; s < n_sub; s++) {
+            const float d = ggml_ue4m3_to_fp32(x[i].d[s]);
+            float * yb = y + i*qk + s*qk_sub;
+
+            for (int j = 0; j < qk_sub/2; ++j) {
+                const int8_t v0 = kvalues_mxfp4[x[i].qs[s*(qk_sub/2) + j] & 0x0F];
+                const int8_t v1 = kvalues_mxfp4[x[i].qs[s*(qk_sub/2) + j] >>   4];
+
+                yb[j + 0       ] = v0*d;
+                yb[j + qk_sub/2] = v1*d;
+            }
+        }
+    }
+}
+
 //
 // 2-6 bit quantization in super-blocks
 //
@@ -2098,6 +2158,12 @@ size_t quantize_mxfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst,
     return nrow * ggml_row_size(GGML_TYPE_MXFP4, n_per_row);
 }
 
+size_t quantize_nvfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
+    GGML_UNUSED(quant_weights);
+    quantize_row_nvfp4_ref(src, dst, (int64_t)nrow*n_per_row);
+    return nrow * ggml_row_size(GGML_TYPE_NVFP4, n_per_row);
+}
+
 // ====================== Ternary (de)-quantization (BitNet b1.58 and TriLMs)
 
 void quantize_row_tq1_0_ref(const float * GGML_RESTRICT x, block_tq1_0 * GGML_RESTRICT y, int64_t k) {
@@ -3104,6 +3170,11 @@ static void quantize_row_iq2_xxs_impl(const float * GGML_RESTRICT x, void * GGML
             }
             float scale = make_qp_quants(32, kMaxQ+1, xval, (uint8_t*)L, weight);
             float eff_max = scale*kMaxQ;
+            if (eff_max <= 0) {
+                scales[ib] = 0;
+                memset(L, 0, 32);
+                continue;
+            }
             float best = 0;
             for (int is = -6; is <= 6; ++is) {
                 float id = (2*kMaxQ-1+is*0.1f)/eff_max;
@@ -3273,9 +3344,9 @@ static void quantize_row_iq2_xs_impl(const float * GGML_RESTRICT x, void * GGML_
             }
             float max = xval[0];
             for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]);
+            memset(L, 0, 16);
             if (max < GROUP_MAX_EPS) {
                 scales[ib] = 0;
-                memset(L, 0, 16);
                 continue;
             }
             float best = 0;
@@ -3714,9 +3785,9 @@ static void quantize_row_iq3_xxs_impl(int grid_size, const float * GGML_RESTRICT
             }
             float max = xval[0];
             for (int i = 1; i < 32; ++i) max = MAX(max, xval[i]);
+            memset(L, 0, 32);
             if (max < GROUP_MAX_EPS_IQ3_XXS) {
                 scales[ib] = 0;
-                memset(L, 0, 32);
                 continue;
             }
             float best = 0;
@@ -3922,6 +3993,7 @@ static void quantize_row_iq3_s_impl(int block_size, const float * GGML_RESTRICT
             }
             float max = xval[0];
             for (int i = 1; i < block_size; ++i) max = MAX(max, xval[i]);
+            memset(L, 0, block_size);
             if (!max) {
                 scales[ib] = 0;
                 continue;
@@ -4245,6 +4317,7 @@ static void quantize_row_iq1_s_impl(const float * GGML_RESTRICT x, void * GGML_R
             for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i]));
             if (max < GROUP_MAX_EPS_IQ1_S) {
                 scales[ib] = 0;
+                shifts[ib] = 1;
                 memset(L, 1, block_size);
                 continue;
             }
@@ -4285,7 +4358,12 @@ static void quantize_row_iq1_s_impl(const float * GGML_RESTRICT x, void * GGML_R
                     }
                 }
             }
-            GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_shift != 0);
+            if (besti1 < 0 || besti2 < 0 || best_shift == 0) {
+                scales[ib] = 0;
+                shifts[ib] = 1;
+                memset(L, 1, block_size);
+                continue;
+            }
             for (int j =      0; j < besti1; ++j) L[idx[2*j]] = 0;
             for (int j = besti1; j < besti2; ++j) L[idx[2*j]] = 1;
             for (int j = besti2; j < block_size; ++j) L[idx[2*j]] = 2;
@@ -4429,6 +4507,7 @@ static void quantize_row_iq1_m_impl(const float * GGML_RESTRICT x, void * GGML_R
             for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i]));
             if (max < GROUP_MAX_EPS_IQ1_M) {
                 scales[ib] = 0;
+                shifts[ib] = 0;
                 memset(L, 1, block_size);
                 continue;
             }
@@ -4527,7 +4606,12 @@ static void quantize_row_iq1_m_impl(const float * GGML_RESTRICT x, void * GGML_R
                     }
                 }
             }
-            GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_k >= 0);
+            if (besti1 < 0 || besti2 < 0 || best_k < 0) {
+                scales[ib] = 0;
+                shifts[ib] = 0;
+                memset(L, 1, block_size);
+                continue;
+            }
             for (int j =      0; j < besti1; ++j) L[idx[2*j]] = 0;
             for (int j = besti1; j < besti2; ++j) L[idx[2*j]] = 1;
             for (int j = besti2; j < block_size; ++j) L[idx[2*j]] = 2;
@@ -4874,6 +4958,7 @@ static void quantize_row_iq2_s_impl(const float * GGML_RESTRICT x, void * GGML_R
             }
             float max = xval[0];
             for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]);
+            memset(L, 0, 16);
             if (max < GROUP_MAX_EPS_IQ2_S) {
                 scales[ib] = 0;
                 continue;
@@ -5225,6 +5310,12 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
             {
                 VALIDATE_ROW_DATA_E_E8M0_IMPL(block_mxfp4, data, nb);
             } break;
+        case GGML_TYPE_NVFP4:
+            {
+                // UE4M3 scales are uint8_t — all byte values are valid
+                GGML_UNUSED(data);
+                GGML_UNUSED(nb);
+            } break;
         case GGML_TYPE_Q2_K:
             {
                 VALIDATE_ROW_DATA_DM_F16_IMPL(block_q2_K, data, nb, d, dmin);
diff --git a/ggml/src/ggml-quants.h b/ggml/src/ggml-quants.h
index 3b688f31c21..00604f75c0e 100644
--- a/ggml/src/ggml-quants.h
+++ b/ggml/src/ggml-quants.h
@@ -22,6 +22,7 @@ GGML_API void quantize_row_q8_0_ref(const float * GGML_RESTRICT x, block_q8_0 *
 GGML_API void quantize_row_q8_1_ref(const float * GGML_RESTRICT x, block_q8_1 * GGML_RESTRICT y, int64_t k);
 
 GGML_API void quantize_row_mxfp4_ref(const float * GGML_RESTRICT x, block_mxfp4 * GGML_RESTRICT y, int64_t k);
+GGML_API void quantize_row_nvfp4_ref(const float * GGML_RESTRICT x, block_nvfp4 * GGML_RESTRICT y, int64_t k);
 
 GGML_API void quantize_row_q2_K_ref(const float * GGML_RESTRICT x, block_q2_K * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q3_K_ref(const float * GGML_RESTRICT x, block_q3_K * GGML_RESTRICT y, int64_t k);
@@ -48,6 +49,7 @@ GGML_API void dequantize_row_q8_0(const block_q8_0 * GGML_RESTRICT x, float * GG
 //GGML_API void dequantize_row_q8_1(const block_q8_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 
 GGML_API void dequantize_row_mxfp4(const block_mxfp4 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
+GGML_API void dequantize_row_nvfp4(const block_nvfp4 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 
 GGML_API void dequantize_row_q2_K(const block_q2_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q3_K(const block_q3_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
@@ -95,6 +97,7 @@ GGML_API size_t quantize_q5_1(const float * GGML_RESTRICT src, void * GGML_RESTR
 GGML_API size_t quantize_q8_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 
 GGML_API size_t quantize_mxfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
+GGML_API size_t quantize_nvfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 
 GGML_API void iq2xs_init_impl(enum ggml_type type);
 GGML_API void iq2xs_free_impl(enum ggml_type type);
diff --git a/ggml/src/ggml-sycl/CMakeLists.txt b/ggml/src/ggml-sycl/CMakeLists.txt
index eefdd9725ca..7b07b227874 100644
--- a/ggml/src/ggml-sycl/CMakeLists.txt
+++ b/ggml/src/ggml-sycl/CMakeLists.txt
@@ -25,6 +25,11 @@ ggml_add_backend_library(ggml-sycl
 
 file(GLOB   GGML_HEADERS_SYCL "*.hpp")
 file(GLOB   GGML_SOURCES_SYCL "*.cpp")
+file(GLOB   SRCS "template-instances/fattn-tile*.cpp")
+list(APPEND GGML_SOURCES_SYCL ${SRCS})
+file(GLOB   SRCS "template-instances/fattn-vec*.cpp")
+list(APPEND GGML_SOURCES_SYCL ${SRCS})
+
 target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL} ${GGML_SOURCES_SYCL})
 
 if (WIN32)
@@ -145,6 +150,7 @@ else()
 endif()
 
 if (GGML_SYCL_GRAPH)
+    message(STATUS "find GGML_SYCL_GRAPH")
     target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_GRAPH)
 endif()
 
diff --git a/ggml/src/ggml-sycl/add-id.cpp b/ggml/src/ggml-sycl/add-id.cpp
index 00c073cf937..8929017a999 100644
--- a/ggml/src/ggml-sycl/add-id.cpp
+++ b/ggml/src/ggml-sycl/add-id.cpp
@@ -55,7 +55,11 @@ void ggml_sycl_add_id(ggml_backend_sycl_context& ctx, ggml_tensor* dst) {
   const int32_t* src2_d = (const int32_t*)src2->data;
   float* dst_d = (float*)dst->data;
 
-  int threads = std::min((int)ne00, 768);  // cols
+  const unsigned int max_work_group_size = ggml_sycl_info().max_work_group_sizes[ctx.device];
+  assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
+
+  int threads = std::min((unsigned int)ne00, max_work_group_size);  // cols
+
   ctx.stream()->parallel_for(
       sycl::nd_range<3>(
           sycl::range<3>(1, ne02, ne01) * sycl::range<3>(1, 1, threads),
diff --git a/ggml/src/ggml-sycl/backend.hpp b/ggml/src/ggml-sycl/backend.hpp
index 75657f3fca2..b30b7f2beb7 100644
--- a/ggml/src/ggml-sycl/backend.hpp
+++ b/ggml/src/ggml-sycl/backend.hpp
@@ -23,6 +23,7 @@
 #include "dequantize.hpp"
 #include "dmmv.hpp"
 #include "element_wise.hpp"
+#include "fattn.hpp"
 #include "gla.hpp"
 #include "im2col.hpp"
 #include "mmq.hpp"
diff --git a/ggml/src/ggml-sycl/binbcast.cpp b/ggml/src/ggml-sycl/binbcast.cpp
index 0a3883ae1ed..92dd18889f4 100644
--- a/ggml/src/ggml-sycl/binbcast.cpp
+++ b/ggml/src/ggml-sycl/binbcast.cpp
@@ -11,8 +11,8 @@ static void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst_t * dst,
         int ne0, int ne1, int ne2, int ne3,
         int ne10, int ne11, int ne12, int ne13,
         /*int s0, */ int s1,  int s2,  int s3,
-        /*int s00,*/ int s01, int s02, int s03,
-        /*int s10,*/ int s11, int s12, int s13,
+        int s00, int s01, int s02, int s03,
+        int s10, int s11, int s12, int s13,
         const sycl::nd_item<3> &item_ct1) {
     const int i0s = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
                     item_ct1.get_local_id(2);
@@ -44,7 +44,7 @@ static void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst_t * dst,
     for (int i0 = i0s; i0 < ne0;
          i0 += item_ct1.get_local_range(2) * item_ct1.get_group_range(2)) {
         const int i10 = i0 % ne10;
-        dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]);
+        dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0*s00] : 0.0f, (float)src1_row[i10*s10]);
     }
 }
 
@@ -53,8 +53,8 @@ static void k_bin_bcast_unravel(const src0_t * src0, const src1_t * src1, dst_t
         int ne0, int ne1, int ne2, int ne3,
         int ne10, int ne11, int ne12, int ne13,
         /*int s0, */ int s1,  int s2,  int s3,
-        /*int s00,*/ int s01, int s02, int s03,
-        /*int s10,*/ int s11, int s12, int s13,
+        int s00, int s01, int s02, int s03,
+        int s10, int s11, int s12, int s13,
         const sycl::nd_item<3> &item_ct1) {
 
     const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
@@ -82,7 +82,7 @@ static void k_bin_bcast_unravel(const src0_t * src0, const src1_t * src1, dst_t
     dst_t * dst_row = dst + i_dst;
 
     const int i10 = i0 % ne10;
-    dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]);
+    dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0*s00] : 0.0f, (float)src1_row[i10*s10]);
 }
 
 
@@ -95,7 +95,8 @@ struct bin_bcast_sycl {
                     const int64_t ne3, const size_t nb00, const size_t nb01, const size_t nb02, const size_t nb03,
                     const size_t nb10, const size_t nb11, const size_t nb12, const size_t nb13, const size_t nb0,
                     const size_t nb1, const size_t nb2, const size_t nb3, const bool src0_is_contiguous,
-                    const bool src1_is_contiguous, const bool dst_is_contiguous, queue_ptr stream) {
+                    const bool src1_is_contiguous, const bool src0_is_permuted, const bool src1_is_permuted,
+                    queue_ptr stream) {
         int nr0 = ne10 / ne0;
         int nr1 = ne11/ne1;
         int nr2 = ne12/ne2;
@@ -123,7 +124,7 @@ struct bin_bcast_sycl {
             cnb[3] *= cne[3];
         };
 
-        if (src0_is_contiguous && src1_is_contiguous && dst_is_contiguous) {
+        if (src0_is_contiguous && src1_is_contiguous && !src0_is_permuted && !src1_is_permuted) {
             for (int i = 0; i < 4; i++) {
                 if (nr[i] != 1) {
                     break;
@@ -164,7 +165,7 @@ struct bin_bcast_sycl {
             size_t nb12 = cnb1[2];
             size_t nb13 = cnb1[3];
 
-            size_t s0 = nb0 / sizeof(dst_t);
+            // size_t s0 = nb0 / sizeof(dst_t);
             size_t s1 = nb1 / sizeof(dst_t);
             size_t s2 = nb2 / sizeof(dst_t);
             size_t s3 = nb3 / sizeof(dst_t);
@@ -196,9 +197,6 @@ struct bin_bcast_sycl {
             GGML_ASSERT(nb12 % sizeof(src1_t) == 0);
             GGML_ASSERT(nb13 % sizeof(src1_t) == 0);
 
-            GGML_ASSERT(s0 == 1);
-            GGML_ASSERT(s10 == 1);
-
             const int block_size = 128;
 
             int64_t hne0 = std::max(ne0/2LL, 1LL);
@@ -232,8 +230,8 @@ struct bin_bcast_sycl {
                         [=](sycl::nd_item<3> item_ct1) {
                             k_bin_bcast_unravel<bin_op>(
                                 src0_dd, src1_dd, dst_dd, ne0, ne1, ne2, ne3,
-                                ne10, ne11, ne12, ne13, s1, s2, s3, s01, s02,
-                                s03, s11, s12, s13, item_ct1);
+                                ne10, ne11, ne12, ne13, s1, s2, s3, s00, s01, s02,
+                                s03, s10, s11, s12, s13, item_ct1);
                         });
                 }
             } else {
@@ -251,7 +249,7 @@ struct bin_bcast_sycl {
                     [=](sycl::nd_item<3> item_ct1) {
                         k_bin_bcast<bin_op>(src0_dd, src1_dd, dst_dd, ne0, ne1,
                                             ne2, ne3, ne10, ne11, ne12, ne13,
-                                            s1, s2, s3, s01, s02, s03, s11, s12, s13,
+                                            s1, s2, s3, s00, s01, s02, s03, s10, s11, s12, s13,
                                             item_ct1);
                     });
             }
@@ -268,24 +266,27 @@ inline void ggml_sycl_op_bin_bcast(ggml_backend_sycl_context & ctx, const ggml_t
     if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
         op()((const float *) src0->data, (const float *) src1->data, (float *) dst->data, ne00, ne01, ne02, ne03, ne10,
              ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1, nb2, nb3,
-             ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+             ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_permuted(src0), ggml_is_permuted(src1), main_stream);
     } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
         op()((const sycl::half *) src0->data, (const sycl::half *) src1->data, (sycl::half *) dst->data, ne00, ne01,
              ne02, ne03, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13,
-             nb0, nb1, nb2, nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst),
+             nb0, nb1, nb2, nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_permuted(src0), ggml_is_permuted(src1),
              main_stream);
     } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) {
         op()((const sycl::half *) src0->data, (const float *) src1->data, (sycl::half *) dst->data, ne00, ne01, ne02,
              ne03, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1,
-             nb2, nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+             nb2, nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_permuted(src0), ggml_is_permuted(src1),
+             main_stream);
     } else if (src0->type == GGML_TYPE_I32 && src1->type == GGML_TYPE_I32 && dst->type == GGML_TYPE_I32) {
         op()((const int32_t *) src0->data, (const int32_t *) src1->data, (int32_t *) dst->data, ne00, ne01, ne02, ne03,
              ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1, nb2,
-             nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+             nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_permuted(src0), ggml_is_permuted(src1),
+             main_stream);
     } else if (src0->type == GGML_TYPE_I16 && src1->type == GGML_TYPE_I16 && dst->type == GGML_TYPE_I16) {
         op()((const int16_t *) src0->data, (const int16_t *) src1->data, (int16_t *) dst->data, ne00, ne01, ne02, ne03,
              ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1, nb2,
-             nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+             nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_permuted(src0), ggml_is_permuted(src1),
+             main_stream);
     } else {
         fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s, src1: %s\n", __func__, ggml_type_name(dst->type),
                 ggml_type_name(src0->type), ggml_type_name(src1->type));
diff --git a/ggml/src/ggml-sycl/common.hpp b/ggml/src/ggml-sycl/common.hpp
index 519638fd416..9f0efb65359 100644
--- a/ggml/src/ggml-sycl/common.hpp
+++ b/ggml/src/ggml-sycl/common.hpp
@@ -19,10 +19,13 @@
 #include <string>
 
 #include "dpct/helper.hpp"
+#include "ggml.h"
+#include "ggml-impl.h"
 #include "ggml-sycl.h"
 #include "presets.hpp"
 #include "sycl_hw.hpp"
 
+namespace syclexp = sycl::ext::oneapi::experimental;
 
 #if GGML_SYCL_DNNL
 #include "dnnl.hpp"
@@ -31,6 +34,9 @@
 
 #define GGML_COMMON_DECL_SYCL
 #define GGML_COMMON_IMPL_SYCL
+#define SYCL_FLASH_ATTN //remove it to disable FLASH_ATTENTION in building.
+#define SYCL_FAST_FP16  //don't change. remove it will break fattn-tile.hpp building
+
 /* suppress warning spam */
 #pragma clang diagnostic push
 #pragma clang diagnostic ignored "-Wnested-anon-types"
@@ -45,6 +51,8 @@ void ggml_sycl_host_free(void* ptr);
 extern int g_ggml_sycl_debug;
 extern int g_ggml_sycl_disable_optimize;
 extern int g_ggml_sycl_prioritize_dmmv;
+extern int g_ggml_sycl_enable_flash_attention;
+
 
 #if defined(__clang__) && __has_builtin(__builtin_expect)
 // Hint the optimizer to pipeline the more likely following instruction in branches
@@ -76,10 +84,10 @@ extern int g_ggml_sycl_prioritize_dmmv;
 
 
 #define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP
-#define VER_4VEC 610 // todo for hardward optimize.
-#define VER_GEN9 700 // todo for hardward optimize.
-#define VER_GEN12 1000000 // todo for hardward optimize.
-#define VER_GEN13 (VER_GEN12 + 1030) // todo for hardward optimize.
+#define VER_4VEC 610 // todo for hardware optimize.
+#define VER_GEN9 700 // todo for hardware optimize.
+#define VER_GEN12 1000000 // todo for hardware optimize.
+#define VER_GEN13 (VER_GEN12 + 1030) // todo for hardware optimize.
 
 #define GGML_SYCL_MAX_NODES 8192 // TODO: adapt to hardwares
 
@@ -170,6 +178,10 @@ static size_t g_scratch_offset = 0;
 
 int get_current_device_id();
 
+inline int ggml_sycl_get_device() {
+    return get_current_device_id();
+}
+
 inline dpct::err0 ggml_sycl_set_device(const int device) try {
   int current_device_id;
   SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id()));
@@ -194,11 +206,14 @@ struct optimize_feature {
 };
 
 struct sycl_device_info {
-    int     cc;                 // compute capability
+    int cc;  // compute capability
     int nsm; // number of streaming multiprocessors (CUDA) maps to the maximum
              // number of compute units on a SYCL device.
     // size_t  smpb;               // max. shared memory per block
     size_t  smpbo;              // max. shared memory per block (with opt-in)
+    int warp_size;     // max sub_group_size of SYCL
+    int max_wg_per_cu; // max work groups per compute unit - refer to
+                       // cudaOccupancyMaxActiveBlocksPerMultiprocessor
     bool    vmm;                // virtual memory support
     size_t  total_vram;
     //sycl_hw_info hw_info;     \\ device id and aarch, currently not used
@@ -435,13 +450,15 @@ warp_reduce_sum(sycl::float2 a, const sycl::nd_item<3>& item_ct1) {
     return a;
 }
 
-template <int width = WARP_SIZE>
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
 static __dpct_inline__ int warp_reduce_sum(int x) {
   return sycl::reduce_over_group(
       sycl::ext::oneapi::this_work_item::get_sub_group(), x, sycl::plus<>());
 }
 
-template <int width = WARP_SIZE>
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
 static __dpct_inline__ float warp_reduce_sum(float x) {
 #pragma unroll
   for (int offset = width / 2; offset > 0; offset >>= 1) {
@@ -451,7 +468,19 @@ static __dpct_inline__ float warp_reduce_sum(float x) {
   return x;
 }
 
-template <int width = WARP_SIZE>
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
+static __dpct_inline__ float warp_reduce_sum(float x, const sycl::nd_item<3>& item_ct1) {
+#pragma unroll
+  for (int offset = width / 2; offset > 0; offset >>= 1) {
+    x += dpct::permute_sub_group_by_xor(
+        item_ct1.get_sub_group(), x, offset);
+  }
+  return x;
+}
+
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
 static __dpct_inline__ sycl::float2 warp_reduce_sum(sycl::float2 a) {
 #pragma unroll
   for (int offset = width / 2; offset > 0; offset >>= 1) {
@@ -465,7 +494,8 @@ static __dpct_inline__ sycl::float2 warp_reduce_sum(sycl::float2 a) {
   return a;
 }
 
-template <int width = WARP_SIZE>
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
 static __dpct_inline__ sycl::half2 warp_reduce_sum(sycl::half2 a) {
 #pragma unroll
   for (int offset = width / 2; offset > 0; offset >>= 1) {
@@ -481,7 +511,52 @@ static constexpr int ggml_sycl_get_physical_warp_size() {
   return WARP_SIZE;
 }
 
-template <int width = WARP_SIZE>
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
+static __dpct_inline__ int warp_reduce_all(int x) {
+    if (width == ggml_sycl_get_physical_warp_size()) {
+        return sycl::all_of_group(
+            sycl::ext::oneapi::this_work_item::get_sub_group(),
+            (~0xffffffff &
+             (0x1 << sycl::ext::oneapi::this_work_item::get_sub_group()
+                         .get_local_linear_id())) ||
+                x);
+    } else {
+#pragma unroll
+        for (int offset = width / 2; offset > 0; offset >>= 1) {
+            x = dpct::permute_sub_group_by_xor(
+                    sycl::ext::oneapi::this_work_item::get_sub_group(), x,
+                    offset, width) &&
+                x;
+        }
+        return x;
+    }
+}
+
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
+static __dpct_inline__ int warp_reduce_any(int x) {
+    if (width == ggml_sycl_get_physical_warp_size()) {
+        return sycl::any_of_group(
+            sycl::ext::oneapi::this_work_item::get_sub_group(),
+            (0xffffffff &
+             (0x1 << sycl::ext::oneapi::this_work_item::get_sub_group()
+                         .get_local_linear_id())) &&
+                x);
+    } else {
+#pragma unroll
+        for (int offset = width / 2; offset > 0; offset >>= 1) {
+            x = dpct::permute_sub_group_by_xor(
+                    sycl::ext::oneapi::this_work_item::get_sub_group(), x,
+                    offset, width) ||
+                x;
+        }
+        return x;
+    }
+}
+
+/* use WARP_SIZE or WARP_32_SIZE*/
+template <int width>
 static __dpct_inline__ float warp_reduce_max(float x) {
 #pragma unroll
   for (int offset = width / 2; offset > 0; offset >>= 1) {
@@ -629,6 +704,42 @@ static const sycl::uint3 init_fastdiv_values(uint32_t d) {
     return sycl::uint3(mp, L, d);
 }
 
+// Maximum number of bytes that can be copied in a single instruction.
+// Set by test result.
+static constexpr int ggml_sycl_get_max_cpy_bytes() {
+    return 16;
+}
+
+// Aligned memory transfers of 8/16 bytes can be faster than 2 transfers with 4 bytes.
+template <int nbytes, int alignment = 0>
+static __dpct_inline__ void ggml_sycl_memcpy_1(void * dst, const void * src) {
+    if constexpr (alignment != 0) {
+        static_assert(nbytes % alignment == 0, "bad alignment");
+    }
+    constexpr int nb_per_cpy = alignment == 0 ? nbytes : alignment;
+
+#pragma unroll
+    for (int i = 0; i < nbytes/nb_per_cpy; ++i) {
+        if constexpr (nb_per_cpy == 1) {
+            ((char *) dst)[i] = ((const char *) src)[i];
+        } else if constexpr (nb_per_cpy == 2) {
+            ((short *) dst)[i] = ((const short *) src)[i];
+        } else if constexpr (nb_per_cpy == 4) {
+            ((int *) dst)[i] = ((const int *) src)[i];
+        } else if constexpr (nb_per_cpy == 8) {
+            ((sycl::int2 *) dst)[i] = ((const sycl::int2 *) src)[i];
+        } else if constexpr (nb_per_cpy == 16) {
+            ((sycl::int4 *) dst)[i] = ((const sycl::int4 *) src)[i];
+        } else {
+            static_assert(nbytes == 0 && nbytes == -1, "bad nbytes");
+        }
+    }
+}
+template <typename T>
+sycl::half2 __dpct_inline__ make_half2( T x, T y) {
+    sycl::half2 res(static_cast<sycl::half>(x),static_cast<sycl::half>(y));
+    return res;
+}
 
 static __dpct_inline__ uint32_t fastdiv(uint32_t n, const sycl::uint3 fastdiv_values) {
     const uint32_t hi = sycl::mul_hi<unsigned>(n, fastdiv_values.x());
@@ -636,6 +747,17 @@ static __dpct_inline__ uint32_t fastdiv(uint32_t n, const sycl::uint3 fastdiv_va
 }
 
 
+template <typename T>
+sycl::float2 __dpct_inline__ make_float2( T x, T y) {
+    sycl::float2 res(static_cast<float>(x),static_cast<float>(y));
+    return res;
+}
+
+sycl::float2 __dpct_inline__ __half22float2(sycl::half2 &H) {
+    sycl::float2 float2_value(static_cast<float>(H.x()), static_cast<float>(H.y()));
+    return float2_value;
+}
+
 static __dpct_inline__ sycl::uint2 fast_div_modulo(uint32_t n, const sycl::uint3 fastdiv_values) {
     const uint32_t div_val = fastdiv(n, fastdiv_values);
     const uint32_t mod_val = n - div_val * fastdiv_values.z();
@@ -659,5 +781,188 @@ static __dpct_inline__ float ggml_sycl_e8m0_to_fp32(uint8_t x) {
     return result;
 }
 
+sycl::float2 __dpct_inline__ __half22float2(const sycl::half2 &H) {
+    sycl::float2 float2_value(static_cast<float>(H.x()), static_cast<float>(H.y()));
+    return float2_value;
+}
+
+float __dpct_inline__ __half2float(sycl::half H) {
+    return static_cast<float>(H);
+}
+
+static __dpct_inline__ void ggml_sycl_mad(float & acc, const float v, const float u) {
+    acc += v*u;
+}
+
+static __dpct_inline__ void ggml_sycl_mad(float & acc, const sycl::float2 v, const sycl::float2 u) {
+    acc += v.x() * u.x();
+    acc += v.y() * u.y();
+}
+
+static __dpct_inline__ void ggml_sycl_mad(float & acc, const sycl::half2 v, const sycl::half2 u) {
+#ifdef GGML_SYCL_F16
+    const sycl::float2 tmp = (v * u).template convert<float, sycl::rounding_mode::automatic>();
+    acc += tmp.x() + tmp.y();
+#else
+    const sycl::float2 tmpv = __half22float2(v);
+    const sycl::float2 tmpu = __half22float2(u);
+    acc += tmpv.x() * tmpu.x();
+    acc += tmpv.y() * tmpu.y();
+#endif // GGML_SYCL_F16
+}
+
+static __dpct_inline__ void ggml_sycl_mad(sycl::half2 & acc, const sycl::half2 v, const sycl::half2 u) {
+#ifdef GGML_SYCL_F16
+    acc += v*u;
+#else
+    const sycl::float2 tmpv = __half22float2(v);
+    const sycl::float2 tmpu = __half22float2(u);
+    sycl::float2 tmpacc = __half22float2(acc);
+    // tmpacc.x += tmpv.x() * tmpu.x();
+    // tmpacc.y += tmpv.y() * tmpu.y();
+    sycl::float2 tmp1(tmpacc.x() + tmpv.x() * tmpu.x(), tmpacc.y() + tmpv.y() * tmpu.y());
+    acc = make_half2(tmp1.x(), tmp1.y());
+#endif // GGML_SYCL_F16
+}
+
+template <int n>
+struct ggml_sycl_unroll {
+    template <typename Func, typename... Args>
+    void operator()(const Func & f, Args... args) const {
+        f(n - 1, args...);
+        ggml_sycl_unroll<n - 1>{}(f, args...);
+    }
+};
+
+template <>
+struct ggml_sycl_unroll<1> {
+    template <typename Func, typename... Args>
+    void operator()(const Func & f, Args... args) const {
+        f(0, args...);
+    }
+};
+
+static __dpct_inline__ sycl::half2 ggml_sycl_hmax2(const sycl::half2 a, const sycl::half2 b) {
+    sycl::half2 ret;
+    reinterpret_cast<sycl::half &>(ret.x()) =
+        sycl::vec<float, 1>(sycl::fmax(a[0], b[0])).convert<sycl::half, sycl::rounding_mode::automatic>()[0];
+    reinterpret_cast<sycl::half &>(ret.y()) =
+        sycl::vec<float, 1>(sycl::fmax(a[1], b[1])).convert<sycl::half, sycl::rounding_mode::automatic>()[0];
+    return ret;
+}
+
+static __dpct_inline__ sycl::half ggml_sycl_hmax(const sycl::half a, const sycl::half b) {
+    return sycl::vec<float, 1>(
+               sycl::fmax(sycl::vec<sycl::half, 1>(a).convert<float, sycl::rounding_mode::automatic>()[0],
+                          sycl::vec<sycl::half, 1>(b).convert<float, sycl::rounding_mode::automatic>()[0]))
+        .convert<sycl::half, sycl::rounding_mode::automatic>()[0];
+}
+
+static __dpct_inline__ uint32_t __hgt2_mask(const sycl::half2 a, const sycl::half2 b) {
+    const uint32_t mask_low  = 0x0000FFFF * (float(a[0]) > float(b[0]));
+    const uint32_t mask_high = 0xFFFF0000 * (float(a[1]) > float(b[1]));
+    return mask_low | mask_high;
+}
+
+static __dpct_inline__ uint32_t fastmodulo(uint32_t n, const sycl::uint3 fastdiv_values) {
+    // expects  fastdiv_values to contain <mp, L, divisor> in <x, y, z> (see init_fastdiv_values)
+    return n - fastdiv(n, fastdiv_values) * fastdiv_values.z();
+}
+
+static bool fast_fp16_available(const int cc) {
+    GGML_UNUSED(cc);
+    return true;   //Intel GPUs always support FP16.
+}
+
+enum class block_reduce_method {
+    MAX,
+    SUM,
+};
+
+template<block_reduce_method method_t, typename T, int warp_size>
+struct block_reduce_policy;
+
+template <typename T, typename... Ts>
+inline constexpr bool is_any = (std::is_same_v<T, Ts> || ...);
+
+template<typename...>
+inline constexpr bool ggml_sycl_dependent_false_v = false;
+
+#define WARP_32_SIZE 32
+
+template <typename T, int warp_size> struct block_reduce_policy<block_reduce_method::SUM, T, warp_size> {
+    static T reduce(T val) {
+        if constexpr (is_any<T, float, sycl::float2, sycl::half2, int>) {
+            return warp_reduce_sum<warp_size>(val);
+        } else {
+            static_assert(ggml_sycl_dependent_false_v<T>, "Unsupported type for block reduce sum");
+        }
+    }
+
+    static T sentinel() {
+        if constexpr (std::is_same_v<T, float>) {
+            return 0.0f;
+        } else if constexpr (std::is_same_v<T, sycl::float2>) {
+            return sycl::float2(0.0f, 0.0f);
+        } else if constexpr (std::is_same_v<T, sycl::half2>) {
+            return sycl::half2(0.0f, 0.0f);
+        } else if constexpr (std::is_same_v<T, int>) {
+            return 0;
+        } else {
+            static_assert(ggml_sycl_dependent_false_v<T>, "Unsupported type for block reduce sum");
+        }
+    }
+};
+
+template <typename T, int warp_size> struct block_reduce_policy<block_reduce_method::MAX, T, warp_size> {
+    static T reduce(T val) {
+        if constexpr (is_any<T, float, sycl::half2>) {
+            return warp_reduce_max<warp_size>(val);
+        } else {
+            static_assert(ggml_sycl_dependent_false_v<T>, "Unsupported type for block reduce max");
+        }
+    }
+
+    static T sentinel() {
+        if constexpr (std::is_same_v<T, float>) {
+            return -INFINITY;
+        } else if constexpr (std::is_same_v<T, sycl::half2>) {
+            return sycl::half2(-INFINITY, -INFINITY);
+        } else {
+            static_assert(ggml_sycl_dependent_false_v<T>, "Unsupported type for block reduce max");
+        }
+    }
+};
+
+
+template <block_reduce_method reduce_method_t, int warp_size, typename T>
+static T block_reduce(T val, T * shared_vals, int block_size_template) {
+    auto item_ct1                 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    val                           = block_reduce_policy<reduce_method_t, T,warp_size>::reduce(val);
+    const int block_size = block_size_template == 0 ? item_ct1.get_local_range(2) : block_size_template;
+    const int nthreads = item_ct1.get_local_range(2);
+    const int nwarps = nthreads / WARP_SIZE;
+
+    if (block_size > warp_size) {
+        assert((block_size <= 1024) && (block_size % warp_size) == 0);
+        const int warp_id = item_ct1.get_local_id(2) / warp_size;
+        const int lane_id = item_ct1.get_local_id(2) % warp_size;
+        if (lane_id == 0) {
+            shared_vals[warp_id] = val;
+        }
+        item_ct1.barrier(sycl::access::fence_space::local_space);
+
+        size_t nreduce = nwarps / WARP_SIZE;
+        float tmp = 0.f;
+        if (lane_id < (static_cast<int>(block_size) / warp_size)) {
+            for (size_t i = 0; i < nreduce; i += 1)
+            {
+                tmp += shared_vals[lane_id + i * WARP_SIZE];
+            }
+        }
+        return block_reduce_policy<reduce_method_t, T, warp_size>::reduce(tmp);
+    }
+    return val;
+}
 
 #endif // GGML_SYCL_COMMON_HPP
diff --git a/ggml/src/ggml-sycl/convert.cpp b/ggml/src/ggml-sycl/convert.cpp
index 8bdae36458c..d17aca2cac4 100644
--- a/ggml/src/ggml-sycl/convert.cpp
+++ b/ggml/src/ggml-sycl/convert.cpp
@@ -482,6 +482,63 @@ static void dequantize_row_mxfp4_sycl(const void * vx, dst_t * y, const int64_t
         });
 }
 
+template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
+static void dequantize_block_nc(const void * __restrict__ vx, dst_t * __restrict__ y,
+        const int64_t ne00, const int64_t ne01, const int64_t ne02,
+        const int64_t s01, const int64_t s02, const int64_t s03) {
+    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int64_t i00 = 2 * (int64_t(item_ct1.get_local_range(2)) * item_ct1.get_group(2) + item_ct1.get_local_id(2));
+
+    if (i00 >= ne00) {
+        return;
+    }
+
+    const int64_t i01 = item_ct1.get_group(1);
+    const int64_t i02 = item_ct1.get_group(0) % ne02;
+    const int64_t i03 = item_ct1.get_group(0) / ne02;
+
+    const int64_t ibx0 = i03*s03 + i02*s02 + i01*s01;
+
+    const int64_t ib = ibx0 + i00/qk; // block index
+    const int64_t iqs = (i00%qk)/qr; // quant index
+    const int64_t iybs = i00 - i00%qk; // y block start index
+    const int64_t y_offset = qr == 1 ? 1 : qk/2;
+
+    // dequantize
+    #ifdef GGML_SYCL_F16
+        sycl::half2 v;
+    #else
+        sycl::float2 v;
+    #endif
+
+    dequantize_kernel(vx, ib, iqs, v);
+
+    const int64_t iy0 = ((i03*ne02 + i02)*ne01 + i01)*ne00 + iybs + iqs;
+    y[iy0 + 0]        = ggml_sycl_cast<dst_t>(v.x());
+    y[iy0 + y_offset] = ggml_sycl_cast<dst_t>(v.y());
+}
+
+
+template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
+static void dequantize_block_nc_sycl(const void *    vx,
+                                  dst_t *         y,
+                                  const int64_t   ne00,
+                                  const int64_t   ne01,
+                                  const int64_t   ne02,
+                                  const int64_t   ne03,
+                                  const int64_t   s01,
+                                  const int64_t   s02,
+                                  const int64_t   s03,
+                                  dpct::queue_ptr stream) {
+    const dpct::dim3 num_blocks((ne00 + 2 * SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2 * SYCL_DEQUANTIZE_BLOCK_SIZE), ne01,
+                                ne02 * ne03);
+    stream->parallel_for(sycl::nd_range<3>(num_blocks * sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)),
+                         [=](sycl::nd_item<3> item_ct1) {
+                             GGML_UNUSED(item_ct1);
+                             dequantize_block_nc<qk, qr, dequantize_kernel>(vx, y, ne00, ne01, ne02, s01, s02, s03);
+                         });
+}
 template <typename src_t, typename dst_t>
 static void convert_unary_nc(const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t ne00, const int64_t ne01,
                           const int64_t ne02, const int64_t s01, const int64_t s02, const int64_t s03,
@@ -662,7 +719,8 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
     }
 }
 
-to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type) {
+
+to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F32:
             return convert_unary_nc_sycl<float>;
@@ -670,6 +728,16 @@ to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type) {
         case GGML_TYPE_BF16:
             return convert_unary_nc_sycl<sycl::ext::oneapi::bfloat16>;
 #endif
+        case GGML_TYPE_Q4_0:
+            return dequantize_block_nc_sycl<QK4_0, QR4_0, dequantize_q4_0>;
+        case GGML_TYPE_Q4_1:
+            return dequantize_block_nc_sycl<QK4_1, QR4_1, dequantize_q4_1>;
+        case GGML_TYPE_Q5_0:
+            return dequantize_block_nc_sycl<QK5_0, QR5_0, dequantize_q5_0>;
+        case GGML_TYPE_Q5_1:
+            return dequantize_block_nc_sycl<QK5_1, QR5_1, dequantize_q5_1>;
+        case GGML_TYPE_Q8_0:
+            return dequantize_block_nc_sycl<QK8_0, QR8_0, dequantize_q8_0>;
         default:
             return nullptr;
     }
diff --git a/ggml/src/ggml-sycl/convert.hpp b/ggml/src/ggml-sycl/convert.hpp
index f8cb573e368..6e621f2154d 100644
--- a/ggml/src/ggml-sycl/convert.hpp
+++ b/ggml/src/ggml-sycl/convert.hpp
@@ -29,6 +29,27 @@ using to_t_nc_sycl_t = void (*)(const void * x, T * y, int64_t ne00, int64_t ne0
                                    int64_t s01, int64_t s02, int64_t s03, dpct::queue_ptr queue);
 
 typedef to_t_nc_sycl_t<sycl::half> to_fp16_nc_sycl_t;
-to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type);
+to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type);
+
+template<typename dst_t, typename src_t>
+ inline dst_t ggml_sycl_cast(src_t x) {
+    if constexpr (std::is_same_v<dst_t, src_t>) {
+        return x;
+    } else if constexpr (std::is_same_v<dst_t, sycl::ext::oneapi::bfloat16>) {
+        return sycl::ext::oneapi::bfloat16(float(x));
+    } else if constexpr (std::is_same_v<src_t, sycl::ext::oneapi::bfloat16>) {
+        return static_cast<float>(x);
+    } else if constexpr (std::is_same_v<src_t, sycl::float2> && std::is_same_v<dst_t, sycl::half2>) {
+        return x.template convert<sycl::half, sycl::rounding_mode::rte>();
+    } else if constexpr (std::is_same_v<src_t, sycl::float2> &&
+                         std::is_same_v<dst_t, sycl::vec<sycl::ext::oneapi::bfloat16, 2>>) {
+        return {x.x, x.y};
+    } else if constexpr(std::is_same_v<dst_t, int32_t>) {
+        return int32_t(x);
+    } else {
+        return float(x);
+    }
+}
+
 
 #endif  // GGML_SYCL_CONVERT_HPP
diff --git a/ggml/src/ggml-sycl/count-equal.cpp b/ggml/src/ggml-sycl/count-equal.cpp
index b0a8b4820de..4580354cd9d 100644
--- a/ggml/src/ggml-sycl/count-equal.cpp
+++ b/ggml/src/ggml-sycl/count-equal.cpp
@@ -18,7 +18,7 @@ static void count_equal(const T *__restrict__ x, const T *__restrict__ y,
         nequal += xi == yi;
     }
 
-    nequal = warp_reduce_sum(nequal);
+    nequal = warp_reduce_sum<WARP_SIZE>(nequal);
 
     if (item_ct1.get_local_id(2) != 0) {
         return;
diff --git a/ggml/src/ggml-sycl/dpct/helper.hpp b/ggml/src/ggml-sycl/dpct/helper.hpp
index ece66a7ac1f..791d3cac52e 100644
--- a/ggml/src/ggml-sycl/dpct/helper.hpp
+++ b/ggml/src/ggml-sycl/dpct/helper.hpp
@@ -2997,6 +2997,778 @@ namespace dpct
       return 0;
     }
 
+    template <int n_nondefault_params, int n_default_params, typename T>
+    class args_selector;
+
+    /// args_selector is a helper class for extracting arguments from an
+    /// array of pointers to arguments or buffer of arguments to pass to a
+    /// kernel function.
+    ///
+    /// \param R(Ts...) The type of the kernel
+    /// \param n_nondefault_params The number of nondefault parameters of the
+    /// kernel (excluding parameters that like sycl::nd_item, etc.) \param
+    /// n_default_params The number of default parameters of the kernel
+    ///
+    /// Example usage:
+    /// With the following kernel:
+    ///   void foo(sycl::float2 *x, int n, sycl::nd_item<3> item_ct1, float
+    ///   f=.1) {}
+    /// and with the declaration:
+    ///   args_selector<2, 1, decltype(foo)> selector(kernelParams, extra);
+    /// we have:
+    ///   selector.get<0>() returns a reference to sycl::float*,
+    ///   selector.get<1>() returns a reference to int,
+    ///   selector.get<2>() returns a reference to float
+    template <int n_nondefault_params, int n_default_params, typename R,
+              typename... Ts>
+    class args_selector<n_nondefault_params, n_default_params, R(Ts...)> {
+      private:
+        void **kernel_params;
+        char *args_buffer;
+
+        template <int i> static constexpr int account_for_default_params() {
+            constexpr int n_total_params = sizeof...(Ts);
+            if constexpr (i >= n_nondefault_params) {
+                return n_total_params - n_default_params +
+                       (i - n_nondefault_params);
+            } else {
+                return i;
+            }
+        }
+
+      public:
+        /// Get the type of the ith argument of R(Ts...)
+        /// \param [in] i Index of parameter to get
+        /// \returns Type of ith parameter
+        template <int i>
+        using arg_type = std::tuple_element_t<account_for_default_params<i>(),
+                                              std::tuple<Ts...>>;
+        static constexpr int params_num = sizeof...(Ts);
+
+      private:
+        template <int i> static constexpr int get_offset() {
+            if constexpr (i == 0) {
+                // we can assume args_buffer is properly aligned to the
+                // first argument
+                return 0;
+            } else {
+                constexpr int prev_off = get_offset<i - 1>();
+                constexpr int prev_past_end =
+                    prev_off + sizeof(arg_type<i - 1>);
+                using T = arg_type<i>;
+                // is the past-the-end of the i-1st element properly aligned
+                // with the ith element's alignment?
+                if constexpr (prev_past_end % alignof(T) == 0) {
+                    return prev_past_end;
+                }
+                // otherwise bump prev_past_end to match alignment
+                else {
+                    return prev_past_end +
+                           (alignof(T) - (prev_past_end % alignof(T)));
+                }
+            }
+        }
+
+        static char *get_args_buffer(void **extra) {
+            if (!extra)
+                return nullptr;
+            for (; (std::size_t)*extra != 0; ++extra) {
+                if ((std::size_t)*extra == 1) {
+                    return static_cast<char *>(*(extra + 1));
+                }
+            }
+            return nullptr;
+        }
+
+      public:
+        /// If kernel_params is nonnull, then args_selector will
+        /// extract arguments from kernel_params. Otherwise, it
+        /// will extract them from extra.
+        /// \param [in] kernel_params Array of pointers to arguments
+        /// a or null pointer.
+        /// \param [in] extra Array containing pointer to argument buffer.
+        args_selector(void **kernel_params, void **extra)
+            : kernel_params(kernel_params),
+              args_buffer(get_args_buffer(extra)) {}
+
+        /// Get a reference to the ith argument extracted from kernel_params
+        /// or extra.
+        /// \param [in] i Index of argument to get
+        /// \returns Reference to the ith argument
+        template <int i> arg_type<i> &get() {
+            if (kernel_params) {
+                return *static_cast<arg_type<i> *>(kernel_params[i]);
+            } else {
+                return *reinterpret_cast<arg_type<i> *>(args_buffer +
+                                                        get_offset<i>());
+            }
+        }
+    }; // COPY from DPCT head file
+       // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/util.hpp
+
+    /// Utility class for launching SYCL kernels through kernel
+    /// function wrapper.
+    /// For example:
+    /// A SYCL kernel function:
+    ///   void kernel_func(int *ptr, sycl::nd_item<3> item);
+    /// Kernel function wrapper:
+    ///   void kernel_func_wrapper(int *ptr) {
+    ///     sycl::queue queue = *dpct::kernel_launcher::_que;
+    ///     unsigned int localMemSize = dpct::kernel_launcher::_local_mem_size;
+    ///     sycl::nd_range<3> nr = dpct::kernel_launcher::_nr;
+    ///     queue.parallel_for(
+    ///       nr,
+    ///       [=](sycl::nd_item<3> item_ct1) {
+    ///         kernel_func(ptr, item_ct1);
+    ///       });
+    ///   }
+    /// Then launch the kernel through wrapper like:
+    ///   typedef void(*fpt)(int *);
+    ///   fpt fp = kernel_func_wrapper;
+    ///   dpct::kernel_launcher::launch(fp, dpct::dim3(1), dpct::dim3(1), 0, 0,
+    ///   device_ptr);
+    /// If the origin function type is erased, then need to register it first:
+    ///   void *fp = (void *)wrapper_register(&kernel_func_wrapper).get();
+    ///   dpct::kernel_launcher::launch(fp, dpct::dim3(1), dpct::dim3(1), args,
+    ///   0, 0);
+    class kernel_launcher {
+        template <typename FuncT, typename ArgSelector, std::size_t... Index>
+        static void launch_helper(FuncT &&func, ArgSelector &selector,
+                                  std::index_sequence<Index...>) {
+            func(selector.template get<Index>()...);
+        }
+        static void set_execution_config(dim3 group_range, dim3 local_range,
+                                         unsigned int local_mem_size,
+                                         queue_ptr que) {
+            if (que) {
+                _que = que;
+            } else {
+                _que = &get_default_queue();
+            }
+            _nr = sycl::nd_range<3>(
+                static_cast<sycl::range<3>>(group_range * local_range),
+                static_cast<sycl::range<3>>(local_range));
+            _local_mem_size = local_mem_size;
+
+
+        };
+        static inline std::mutex kernel_function_ptr_map_mutex;
+
+      public:
+        /// Variables for storing execution configuration.
+        static inline thread_local sycl::queue *_que = nullptr;
+        static inline thread_local sycl::nd_range<3> _nr = sycl::nd_range<3>();
+        static inline thread_local unsigned int _local_mem_size = 0;
+        /// Map for retrieving launchable functor from a raw pointer.
+        static inline std::map<
+            const void *,
+            std::function<void(dim3, dim3, void **, unsigned int, queue_ptr)>>
+            kernel_function_ptr_map = {};
+
+        /// Registers a kernel function pointer with a corresponding launchable
+        /// functor.
+        /// \param [in] func Pointer to the kernel function.
+        /// \param [in] launcher Functor to handle kernel invocation.
+        static void register_kernel_ptr(
+            const void *func,
+            std::function<void(dim3, dim3, void **, unsigned int, queue_ptr)>
+                launcher) {
+            std::lock_guard<std::mutex> lock(kernel_function_ptr_map_mutex);
+            kernel_function_ptr_map[func] = std::move(launcher);
+        }
+        /// Launches a kernel function with arguments provided directly through
+        /// kernel function wrapper.
+        /// \tparam FuncT Type of the kernel function wrapper.
+        /// \tparam ArgsT Types of kernel arguments.
+        /// \param [in] func Pointer to the kernel function wrapper.
+        /// \param [in] group_range SYCL group range.
+        /// \param [in] local_range SYCL local range.
+        /// \param [in] local_mem_size The size of local memory required by the
+        /// kernel function. \param [in] que SYCL queue used to execute kernel.
+        /// \param [in] args Kernel arguments.
+        template <typename FuncT, typename... ArgsT>
+        static std::enable_if_t<std::is_invocable_v<FuncT *, ArgsT...>, void>
+        launch(FuncT *func, dim3 group_range, dim3 local_range,
+               unsigned int local_mem_size, queue_ptr que, ArgsT... args) {
+            set_execution_config(group_range, local_range, local_mem_size, que);
+            func(args...);
+        }
+        /// Launches a kernel function through registered kernel function
+        /// wrapper. \param [in] func Pointer to the registered kernel function
+        /// wrapper. \param [in] group_range SYCL group range. \param [in]
+        /// local_range SYCL local range. \param [in] args Array of pointers to
+        /// kernel arguments. \param [in] local_mem_size The size of local
+        /// memory required by the kernel function. \param [in] que SYCL queue
+        /// used to execute kernel.
+        static void launch(const void *func, dim3 group_range, dim3 local_range,
+                           void **args, unsigned int local_mem_size,
+                           queue_ptr que) {
+            std::lock_guard<std::mutex> lock(kernel_function_ptr_map_mutex);
+            auto Iter = kernel_function_ptr_map.find(func);
+            if (Iter == kernel_function_ptr_map.end()) {
+                throw std::runtime_error("dpct::launch() : no registered "
+                                         "kernel function wrapper found.");
+            }
+            (Iter->second)(group_range, local_range, args, local_mem_size, que);
+        }
+        /// Launches a kernel function with packed arguments through kernel
+        /// function wrapper.
+        /// \tparam FuncT Type of the kernel function wrapper.
+        /// \param [in] func Pointer to the kernel function wrapper.
+        /// \param [in] group_range SYCL group range.
+        /// \param [in] local_range SYCL local range.
+        /// \param [in] args Array of pointers to kernel arguments.
+        /// \param [in] local_mem_size The size of local memory required by the
+        /// kernel function. \param [in] que SYCL queue used to execute kernel.
+        template <typename FuncT>
+        static std::enable_if_t<std::is_function_v<FuncT>, void>
+        launch(FuncT *func, dim3 group_range, dim3 local_range, void **args,
+               unsigned int local_mem_size, queue_ptr que) {
+            constexpr size_t p_num = args_selector<0, 0, FuncT>::params_num;
+            set_execution_config(group_range, local_range, local_mem_size, que);
+            args_selector<p_num, p_num, FuncT> selector(args, nullptr);
+            launch_helper(func, selector, std::make_index_sequence<p_num>{});
+        }
+    }; // COPY from DPCT head file
+       // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/kernel.hpp
+
+    // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/util.hpp
+    template <typename T>
+    T select_from_sub_group(
+        sycl::sub_group g,
+        T x,
+        int remote_local_id,
+        int logical_sub_group_size = 32) {
+      unsigned int start_index = g.get_local_linear_id() /
+                                 logical_sub_group_size *
+                                 logical_sub_group_size;
+      return sycl::select_from_group(
+          g, x, start_index + remote_local_id % logical_sub_group_size);
+    }
+
+    // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/math.hpp
+    template <typename T>
+    void ldmatrix(uintptr_t addr, T* m, bool trans = false, unsigned mat = 0) {
+      auto sg = sycl::ext::oneapi::this_work_item::get_sub_group();
+      int lane = sg.get_local_linear_id();
+
+      int lane_group8_row = lane / 8;
+      int lane_group8_col = lane % 8;
+
+      if (!trans) {
+        // calculate the source lane
+        int src_lane = 2 * lane_group8_row;
+        if (lane_group8_col >= 4)
+          src_lane += 1;
+
+        // Broadcast the address from the source lane
+        auto recv_addr_uintp =
+            dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane);
+
+        // Cast the received address from uintptr_t to the type of 'm'
+        auto recv_addr = reinterpret_cast<T*>(recv_addr_uintp);
+
+        // Non-transposed load
+        *m = recv_addr[lane_group8_col % 4];
+      } else {
+        // calculate the source lane
+        int src_lane = (lane % 4) * 2;
+
+        // Broadcast the address from the source lane
+        auto recv_addr_uintp_1 =
+            dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane);
+        auto recv_addr_uintp_2 =
+            dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane + 1);
+
+        // Cast the received address from uintptr_t to 'half *'
+        auto recv_addr_1 = reinterpret_cast<sycl::half*>(recv_addr_uintp_1);
+        auto recv_addr_2 = reinterpret_cast<sycl::half*>(recv_addr_uintp_2);
+
+        // Transposed load
+        int index = lane / 4;
+        sycl::half val0 = recv_addr_1[index];
+        sycl::half val1 = recv_addr_2[index];
+
+        // Combine the two 16-bits into one 32-bit value
+        sycl::half2 val = sycl::half2(val0, val1);
+        *m = *reinterpret_cast<T*>(&val);
+      }
+    }
+
+    template <typename T>
+    void ldmatrix(uintptr_t addr, T* m1, T* m2, bool trans = false) {
+      // Load 1st matrix
+      ldmatrix(addr, m1, trans, 0);
+      // Load 2nd matrix
+      ldmatrix(addr, m2, trans, 1);
+    }
+
+    template <typename T>
+    void ldmatrix(
+        uintptr_t addr, T* m1, T* m2, T* m3, T* m4, bool trans = false) {
+      // Load 1st matrix
+      ldmatrix(addr, m1, trans, 0);
+      // Load 2nd matrix
+      ldmatrix(addr, m2, trans, 1);
+      // Load 3rd matrix
+      ldmatrix(addr, m3, trans, 2);
+      // Load 4th matrix
+      ldmatrix(addr, m4, trans, 3);
+    }
+
+    // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/math.hpp
+
+    /// A helper struct that defines the pack type for the input matrix
+    /// fragments
+    /// of mma() function based on the type of input matrix fragments.
+    /// The MMAType struct is specialized for different types of input matrices.
+    /// Currently, the specialization for f16, bf16 and s8 types is defined
+    /// below. \tparam [in] T The type of the input matrix fragments
+    template <typename T>
+    struct MMAType {
+      using PackType = uint32_t;
+    };
+
+    /// Each work item of a sub-group (limited to size 32) calling this function
+    /// calculates a subset fragment for the output matrix D using MAD operation
+    /// on A, B & C matrix fragments (D = A * B + C). Current supported shapes &
+    /// types:
+    /// - m8n8k4 (f32.f16.f16.f32)
+    /// - m8n8k16 (s32.s8.s8.s32)
+    /// - m16n8k8 (f32.f16.f16.f32 & f32.bf16.bf16.f32)
+    /// - m16n8k16 (f32.f16.f16.f32 & s32.s8.s8.s32)
+    /// - m16n8k32 (s32.s8.s8.s32)
+    /// Here, m, n & k define the shapes of A, B & C matrices respectively
+    /// (A = [m x k], B = [k x n], C = [m x n]).
+    /// \tparam [in] M The rows of A, C & D matrices
+    /// \tparam [in] N The columns of B, C, D matrices
+    /// \tparam [in] K The columns & rows of A & B matrices respectively
+    /// \tparam [in] ABType The type of the input matrix (A & B) fragment
+    /// \tparam [in] CDType The type of the output matrix (C & D) fragment
+    /// \param [out] d_mat_frag The fragment of the output matrix D to store the
+    /// result of A * B + C
+    /// \param [in] a_mat_frag The fragment of the input matrix A to be
+    /// multiplied with B matrix fragment \param [in] b_mat_frag The fragment of
+    /// the input matrix B to be multiplied with A matrix fragment \param [in]
+    /// c_mat_frag The fragment of the input matrix C to be added with the
+    /// result of A * B fragments
+    template <int M, int N, int K, typename ABType, typename CDType>
+    void mma(
+        volatile void** d_mat_frag,
+        void* a_mat_frag,
+        void* b_mat_frag,
+        void* c_mat_frag) {
+      auto d = reinterpret_cast<volatile CDType**>(d_mat_frag);
+      auto a =
+          reinterpret_cast<typename MMAType<ABType>::PackType*>(a_mat_frag);
+      auto b =
+          reinterpret_cast<typename MMAType<ABType>::PackType*>(b_mat_frag);
+      auto c = reinterpret_cast<CDType*>(c_mat_frag);
+
+      auto sg = sycl::ext::oneapi::this_work_item::get_sub_group();
+      int lane = sg.get_local_linear_id();
+
+      static_assert(
+          (M == 8 && N == 8 && K == 4) || (M == 8 && N == 8 && K == 16) ||
+              (M == 16 && N == 8 && K == 8) || (M == 16 && N == 8 && K == 16) ||
+              (M == 16 && N == 8 && K == 32),
+          "Unsupported MMA shape!");
+
+      short row_load_offset = 4 * (lane >> 2);
+      short col_load_offset = 8 * (lane % 4);
+
+      if constexpr (M == 8 && N == 8 && K == 4) {
+        if constexpr (std::is_floating_point_v<CDType>) {
+          col_load_offset = row_load_offset % 16;
+
+          // Init D matrix with fragments of C matrix
+          *d[0] = c[0];
+          *d[1] = c[1];
+          *d[2] = c[2];
+          *d[3] = c[3];
+          *d[4] = c[4];
+          *d[5] = c[5];
+          *d[6] = c[6];
+          *d[7] = c[7];
+
+          // Calculate the row and col offset indices to iterate through the row
+          // & col fragments of A & B matrices
+          int r_ind = (lane % 2) ? 1 : 0;
+          int c_ind = ((lane % 4) / 2) ? 2 : 0;
+
+          // Each sub-group is responsible for computing a fragment size of 8*8
+          // elements of matrix D for each of 4 MMA computations.
+          // Each work item computes 8 elements of matrix D by gathering
+          // their corresponding col & row matrix fragments of length k (4)
+          // from A & B matrices respectively using below mapping logic:
+          // row0 = (i % 4) if (lane < 16) else (i % 4) + 4
+          // col0 = (lane % 4)
+          // As each row & col fragment of A & B matrices is distributed across
+          // 4 work items, each iteration of below loop loads a partial fragment
+          // of matrix A (row) and matrix B (col) using the row & col offsets.
+          typename MMAType<ABType>::PackType recv_a[2], recv_b[2];
+
+          for (int i = 0; i < 4; i++) {
+            // Load partial fragment from col0 of matrix A ({a0, a1})
+            recv_a[0] =
+                dpct::select_from_sub_group(sg, a[0], row_load_offset + i);
+            // Load partial fragment from col0 of matrix A ({a2, a3})
+            recv_a[1] =
+                dpct::select_from_sub_group(sg, a[1], row_load_offset + i);
+
+            // Load partial fragment from row0 of matrix B ({b0, b1})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i);
+            // Load partial fragment from row0 of matrix B ({b2, b3})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[1], col_load_offset + i);
+
+            auto ra = reinterpret_cast<ABType*>(recv_a);
+            auto rb = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment (for
+            // even work item indices) d0 += col0{ a0 } * row0{ b0 } d1 += col0{
+            // a0 } * row0{ b1 } d2 += col1{ a2 } * row0{ b0 } d3 += col1{ a2 }
+            // * row0{ b1 } (for odd work item indices) d0 += col0{ a1 } * row0{
+            // b2 } d1 += col0{ a1 } * row0{ b3 } d2 += col1{ a3 } * row0{ b2 }
+            // d3 += col1{ a3 } * row0{ b3 }
+            *d[0] +=
+                static_cast<float>(ra[r_ind]) * static_cast<float>(rb[c_ind]);
+            *d[1] += static_cast<float>(ra[r_ind]) *
+                     static_cast<float>(rb[c_ind + 1]);
+            *d[2] += static_cast<float>(ra[r_ind + 2]) *
+                     static_cast<float>(rb[c_ind]);
+            *d[3] += static_cast<float>(ra[r_ind + 2]) *
+                     static_cast<float>(rb[c_ind + 1]);
+
+            // Load partial fragment from row1 of matrix B ({b0, b1})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 16);
+            // Load partial fragment from row1 of matrix B ({b2, b3})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[1], col_load_offset + i + 16);
+
+            // (for even work item indices)
+            // d0 += col0{ a0 } * row1{ b0 }
+            // d1 += col0{ a0 } * row1{ b1 }
+            // d2 += col1{ a2 } * row1{ b0 }
+            // d3 += col1{ a2 } * row1{ b1 }
+            // (for odd work item indices)
+            // d0 += col0{ a1 } * row1{ b2 }
+            // d1 += col0{ a1 } * row1{ b3 }
+            // d2 += col1{ a3 } * row1{ b2 }
+            // d3 += col1{ a3 } * row1{ b3 }
+            *d[4] +=
+                static_cast<float>(ra[r_ind]) * static_cast<float>(rb[c_ind]);
+            *d[5] += static_cast<float>(ra[r_ind]) *
+                     static_cast<float>(rb[c_ind + 1]);
+            *d[6] += static_cast<float>(ra[r_ind + 2]) *
+                     static_cast<float>(rb[c_ind]);
+            *d[7] += static_cast<float>(ra[r_ind + 2]) *
+                     static_cast<float>(rb[c_ind + 1]);
+          }
+        }
+      } else if constexpr (M == 8 && N == 8 && K == 16) {
+        if constexpr (std::is_integral_v<ABType>) {
+          // Init D matrix with fragments of C matrix
+          *d[0] = c[0];
+          *d[1] = c[1];
+
+          // Each sub-group is responsible for computing a fragment size of 16*8
+          // elements of matrix D.
+          // Each work item computes 2 elements of matrix D by gathering
+          // their corresponding row & col matrix fragments of length k (16)
+          // from A & B matrices respectively using below mapping logic:
+          // row0 = ((lane % 4) * 4) + i
+          // col0 = (lane >> 2)
+          // As each row & col fragment of A & B matrices is distributed across
+          // 4 work items, each iteration of below loop loads a partial fragment
+          // of matrix A (row) and matrix B (col) using the row & col offsets.
+          for (int i = 0; i < 4; i++) {
+            typename MMAType<ABType>::PackType recv_a, recv_b[2];
+
+            // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3})
+            recv_a = dpct::select_from_sub_group(sg, a[0], row_load_offset + i);
+            // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i);
+            // Load partial fragment from col1 of matrix B ({b0, b1, b2, b3})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4);
+
+            auto a = reinterpret_cast<ABType*>(&recv_a);
+            auto b = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment d0
+            // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{
+            // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row0{ a0, a1, a2,
+            // a3 } * col0{ b0, b1, b2, b3 } d3 += row0{ a0, a1, a2, a3 } *
+            // col1{ b0, b1, b2, b3 }
+            for (int j = 0; j < 4; j++) {
+              *d[0] += a[j] * b[j];
+              *d[1] += a[j] * b[j + 4];
+            }
+          }
+        }
+      } else if constexpr (M == 16 && N == 8 && K == 8) {
+        if constexpr (std::is_floating_point_v<CDType>) {
+          // Init D matrix fragment with C matrix fragment
+          *d[0] = c[0];
+          *d[1] = c[1];
+          *d[2] = c[2];
+          *d[3] = c[3];
+
+          // Each sub-group is responsible for computing a fragment size of 16*8
+          // elements of matrix D.
+          // Each work item computes 4 elements of matrix D by gathering
+          // their corresponding row & col matrix fragments of length k (8)
+          // from A & B matrices respectively using below mapping logic:
+          // row0 = (lane >> 2) & row1 = (lane >> 2) + 8
+          // col0 = (lane % 4) * 2 + (i & 0x1)
+          // As each row & col fragment of A & B matrices is distributed across
+          // 4 work items, each iteration of below loop loads a partial fragment
+          // of matrix A (row) and matrix B (col) using the row & col offsets.
+          for (int i = 0; i < 4; i++) {
+            typename MMAType<ABType>::PackType recv_a[2], recv_b[2];
+
+            // Load partial fragment from row0 of matrix A ({a0, a1})
+            recv_a[0] =
+                dpct::select_from_sub_group(sg, a[0], row_load_offset + i);
+            // Load partial fragment from row1 of matrix A ({a2, a3})
+            recv_a[1] =
+                dpct::select_from_sub_group(sg, a[1], row_load_offset + i);
+            // Load partial fragment from col0 of matrix B ({b0, b1})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i);
+            // Load partial fragment from col1 of matrix B ({b0, b1})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4);
+
+            auto ra = reinterpret_cast<ABType*>(recv_a);
+            auto rb = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment d0
+            // += row0{ a0, a1 } * col0{ b0, b1 } d1 += row0{ a0, a1 } * col1{
+            // b0, b1 } d2 += row1{ a2, a3 } * col0{ b0, b1 } d3 += row1{ a2, a3
+            // } * col1{ b0, b1 }
+            for (int j = 0; j < 2; j++) {
+              *d[0] += static_cast<float>(ra[j]) * static_cast<float>(rb[j]);
+              *d[1] +=
+                  static_cast<float>(ra[j]) * static_cast<float>(rb[j + 2]);
+              *d[2] +=
+                  static_cast<float>(ra[j + 2]) * static_cast<float>(rb[j]);
+              *d[3] +=
+                  static_cast<float>(ra[j + 2]) * static_cast<float>(rb[j + 2]);
+            }
+          }
+        }
+      } else if constexpr (M == 16 && N == 8 && K == 16) {
+        if constexpr (std::is_floating_point_v<CDType>) {
+          // Init D matrix fragment with C matrix fragment
+          *d[0] = c[0];
+          *d[1] = c[1];
+          *d[2] = c[2];
+          *d[3] = c[3];
+
+          // Each sub-group is responsible for computing a fragment size of 16*8
+          // elements of matrix D.
+          // Each work item computes 4 elements of matrix D by gathering
+          // their corresponding row & col matrix fragments of length k (8)
+          // from A & B matrices respectively using below mapping logic:
+          // row0 = (lane >> 2)    & row1 = (lane >> 2) + 8
+          // col0 = (lane % 4) * 2 & col1 = (lane % 4) * 2 + 1
+          // As each row & col fragment of A & B matrices is distributed across
+          // 4 work items, each iteration of below loop loads a partial fragment
+          // of matrix A (row) and matrix B (col) using the row & col offsets.
+          for (int i = 0; i < 4; i++) {
+            typename MMAType<ABType>::PackType recv_a[4], recv_b[4];
+
+            // Load partial fragment from row0 of matrix A ({a0, a1})
+            recv_a[0] =
+                dpct::select_from_sub_group(sg, a[0], row_load_offset + i);
+            // Load partial fragment from row0 of matrix A ({a2, a3})
+            recv_a[1] =
+                dpct::select_from_sub_group(sg, a[2], row_load_offset + i);
+            // Load partial fragment from row1 of matrix A ({a0, a1})
+            recv_a[2] =
+                dpct::select_from_sub_group(sg, a[1], row_load_offset + i);
+            // Load partial fragment from row1 of matrix A ({a2, a3})
+            recv_a[3] =
+                dpct::select_from_sub_group(sg, a[3], row_load_offset + i);
+
+            // Load partial fragment from col0 of matrix B ({b0, b1})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i);
+            // Load partial fragment from col0 of matrix B ({b2, b3})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[1], col_load_offset + i);
+            // Load partial fragment from col1 of matrix B ({b0, b1})
+            recv_b[2] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + 4 + i);
+            // Load partial fragment from col1 of matrix B ({b2, b3})
+            recv_b[3] =
+                dpct::select_from_sub_group(sg, b[1], col_load_offset + 4 + i);
+
+            auto ra = reinterpret_cast<ABType*>(recv_a);
+            auto rb = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment d0
+            // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{
+            // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row1{ a0, a1, a2,
+            // a3 } * col0{ b0, b1, b2, b3 } d3 += row1{ a0, a1, a2, a3 } *
+            // col1{ b0, b1, b2, b3 }
+            for (int j = 0; j < 4; j++) {
+              *d[0] += static_cast<CDType>(ra[j]) * static_cast<CDType>(rb[j]);
+              *d[1] +=
+                  static_cast<CDType>(ra[j]) * static_cast<CDType>(rb[j + 4]);
+              *d[2] +=
+                  static_cast<CDType>(ra[j + 4]) * static_cast<CDType>(rb[j]);
+              *d[3] += static_cast<CDType>(ra[j + 4]) *
+                       static_cast<CDType>(rb[j + 4]);
+            }
+          }
+        } else if constexpr (std::is_integral_v<ABType>) {
+          // Init D matrix with fragments of C matrix
+          *d[0] = c[0];
+          *d[1] = c[1];
+          *d[2] = c[2];
+          *d[3] = c[3];
+
+          // Each sub-group is responsible for computing a fragment size of 16*8
+          // elements of matrix D.
+          // Each work item computes 4 elements of matrix D by gathering
+          // their corresponding row & col matrix fragments of length k (8)
+          // from A & B matrices respectively using below mapping logic:
+          // row0 = (lane >> 2)    & row1 = (lane >> 2) + 8
+          // col0 = (lane % 4) * 2 & col1 = (lane % 4) * 2 + 1
+          // As each row & col fragment of A & B matrices is distributed across
+          // 4 work items, each iteration of below loop loads a partial fragment
+          // of matrix A (row) and matrix B (col) using the row & col offsets.
+          for (int i = 0; i < 4; i++) {
+            typename MMAType<ABType>::PackType recv_a[2], recv_b[2];
+
+            // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3})
+            recv_a[0] =
+                dpct::select_from_sub_group(sg, a[0], row_load_offset + i);
+            // Load partial fragment from row1 of matrix A ({a4, a5, a6, a7})
+            recv_a[1] =
+                dpct::select_from_sub_group(sg, a[1], row_load_offset + i);
+            // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i);
+            // Load partial fragment from col1 of matrix B ({b4, b5, b6, b7})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4);
+
+            auto ra = reinterpret_cast<ABType*>(recv_a);
+            auto rb = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment d0
+            // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{
+            // a0, a1, a2, a3 } * col1{ b4, b5, b6, b7 } d2 += row1{ a4, a5, a6,
+            // a7 } * col0{ b0, b1, b2, b3 } d3 += row1{ a4, a5, a6, a7 } *
+            // col1{ b4, b5, b6, b7 }
+            for (int i = 0; i < 4; i++) {
+              *d[0] += ra[i] * rb[i];
+              *d[1] += ra[i] * rb[i + 4];
+              *d[2] += ra[i + 4] * rb[i];
+              *d[3] += ra[i + 4] * rb[i + 4];
+            }
+          }
+        }
+      } else if constexpr (M == 16 && N == 8 && K == 32) {
+        if constexpr (std::is_integral_v<ABType>) {
+          // Init D matrix with fragments of C matrix
+          *d[0] = c[0];
+          *d[1] = c[1];
+          *d[2] = c[2];
+          *d[3] = c[3];
+
+          // Each sub-group is responsible for computing a fragment size of 16*8
+          // elements of matrix D.
+          // Each work item computes 4 elements of matrix D by gathering
+          // their corresponding row & col matrix fragments of length k (32)
+          // from A & B matrices respectively using below mapping logic:
+          // row0 = (lane >> 2)    & row1 = (lane >> 2) + 8
+          // col0 = ((lane % 4) * 4) + (i & 0x3) & col1 = ((lane % 4) * 4) + (i
+          // & 0x3) As each row & col fragment of A & B matrices is distributed
+          // across 4 work items, each iteration of below loop loads a partial
+          // fragment of matrix A (row) and matrix B (col) using the row & col
+          // offsets.
+          for (int i = 0; i < 4; i++) {
+            typename MMAType<ABType>::PackType recv_a[2], recv_b[2];
+
+            // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3})
+            recv_a[0] =
+                dpct::select_from_sub_group(sg, a[0], row_load_offset + i);
+            // Load partial fragment from row1 of matrix A ({a4, a5, a6, a7})
+            recv_a[1] =
+                dpct::select_from_sub_group(sg, a[1], row_load_offset + i);
+            // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i);
+            // Load partial fragment from col1 of matrix B ({b0, b1, b2, b3})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4);
+
+            auto a = reinterpret_cast<ABType*>(recv_a);
+            auto b = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment d0
+            // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{
+            // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row1{ a4, a5, a6,
+            // a7 } * col0{ b0, b1, b2, b3 } d3 += row1{ a4, a5, a6, a7 } *
+            // col1{ b0, b1, b2, b3 }
+            for (int j = 0; j < 4; j++) {
+              *d[0] += a[j] * b[j];
+              *d[1] += a[j] * b[j + 4];
+              *d[2] += a[j + 4] * b[j];
+              *d[3] += a[j + 4] * b[j + 4];
+            }
+          }
+
+          for (int i = 0; i < 4; i++) {
+            typename MMAType<ABType>::PackType recv_a[2], recv_b[2];
+
+            // Load partial fragment from row0 of matrix A ({a8, a9, a10, a11})
+            recv_a[0] =
+                dpct::select_from_sub_group(sg, a[2], row_load_offset + i);
+            // Load partial fragment from row1 of matrix A ({a12, a13, a14,
+            // a15})
+            recv_a[1] =
+                dpct::select_from_sub_group(sg, a[3], row_load_offset + i);
+            // Load partial fragment from col0 of matrix B ({b4, b5, b6, b7})
+            recv_b[0] =
+                dpct::select_from_sub_group(sg, b[1], col_load_offset + i);
+            // Load partial fragment from col1 of matrix B ({b4, b5, b6, b7})
+            recv_b[1] =
+                dpct::select_from_sub_group(sg, b[1], col_load_offset + i + 4);
+
+            auto a = reinterpret_cast<ABType*>(recv_a);
+            auto b = reinterpret_cast<ABType*>(recv_b);
+
+            // Each work item calculates a partial product of A & B matrix
+            // fragments and adds it to the corresponding D matrix fragment d0
+            // += row0{ a8, a9, a10, a11 } * col0{ b4, b5, b6, b7 } d1 += row0{
+            // a8, a9, a10, a11 } * col1{ b4, b5, b6, b7 } d2 += row1{ a12, a13,
+            // a14, a15 } * col0{ b4, b5, b6, b7 } d3 += row1{ a12, a13, a14,
+            // a15 } * col1{ b4, b5, b6, b7 }
+            for (int j = 0; j < 4; j++) {
+              *d[0] += a[j] * b[j];
+              *d[1] += a[j] * b[j + 4];
+              *d[2] += a[j + 4] * b[j];
+              *d[3] += a[j + 4] * b[j + 4];
+            }
+          }
+        }
+      }
+    }
 } // COPY from DPCT head files
 
 #endif // GGML_SYCL_DPCT_HELPER_HPP
diff --git a/ggml/src/ggml-sycl/element_wise.cpp b/ggml/src/ggml-sycl/element_wise.cpp
index 00d54b83f82..acd51bf45b2 100644
--- a/ggml/src/ggml-sycl/element_wise.cpp
+++ b/ggml/src/ggml-sycl/element_wise.cpp
@@ -9,23 +9,32 @@
 #define SYCL_LOCAL_ID_CALC(ITEM, IDX) \
     (ITEM.get_local_range(IDX) * ITEM.get_group(IDX) + ITEM.get_local_id(IDX))
 
+static void acc_f32(const float * x, const float * y, float * dst, const int64_t ne,
+        const int64_t ne10, const int64_t ne11, const int64_t ne12, const int64_t ne13,
+        const int64_t s11, const int64_t s12, const int64_t s13, const int64_t offset) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int64_t i = SYCL_LOCAL_ID_CALC(item_ct1, 2);
 
-static void acc_f32(const float * x, const float * y, float * dst, const int ne,
-    const int ne10, const int ne11, const int ne12,
-    const int nb1, const int nb2, int offset, const sycl::nd_item<1> &item_ct1) {
-    const int i = SYCL_LOCAL_ID_CALC(item_ct1, 0);
     if (i >= ne) {
         return;
     }
-    int src1_idx = i - offset;
-    int oz = src1_idx / nb2;
-    int oy = (src1_idx - (oz * nb2)) / nb1;
-    int ox = src1_idx % nb1;
-    if (src1_idx >= 0 && ox < ne10 && oy < ne11 && oz < ne12) {
-        dst[i] = x[i] + y[ox + oy * ne10 + oz * ne10 * ne11];
-    } else {
-        dst[i] = x[i];
+
+    int64_t src1_idx = i - offset;
+
+    int64_t tmp = src1_idx;
+    const int64_t i13 = tmp / s13;
+    tmp -= i13 * s13;
+    const int64_t i12 = tmp / s12;
+    tmp -= i12 * s12;
+    const int64_t i11 = tmp / s11;
+    tmp -= i11 * s11;
+    const int64_t i10 = tmp;
+
+    float val = x[i];
+    if (src1_idx >= 0 && i10 < ne10 && i11 < ne11 && i12 < ne12 && i13 < ne13) {
+        val += y[((i13*ne12 + i12) * ne11 + i11) * ne10 + i10];
     }
+    dst[i] = val;
 }
 
 /* Unary OP funcs */
@@ -364,18 +373,15 @@ static void gated_op_fused_geglu_quick(const T * x, const T * g, T * dst, const
 
 namespace ggml_sycl_detail {
 static void acc_f32_sycl(const float *x, const float *y, float *dst,
-                         const int n_elements, const int ne10, const int ne11,
-                         const int ne12, const int nb1, const int nb2,
-                         const int offset, queue_ptr stream) {
-    int num_blocks = ceil_div(n_elements, SYCL_ACC_BLOCK_SIZE);
-    stream->parallel_for(
-        sycl::nd_range<1>(sycl::range<1>(num_blocks) *
-                              sycl::range<1>(SYCL_ACC_BLOCK_SIZE),
-                          sycl::range<1>(SYCL_ACC_BLOCK_SIZE)),
-        [=](sycl::nd_item<1> item_ct1) {
-            acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, nb1, nb2, offset,
-                    item_ct1);
-        });
+                         const int64_t n_elements, const int64_t ne10, const int64_t ne11,
+                         const int64_t ne12, const int64_t ne13, const int64_t s1, const int64_t s2, const int64_t s3,
+                         const int64_t offset, queue_ptr stream) {
+    const int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE;
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)),
+                         [=](sycl::nd_item<3> item_ct1) {
+                             acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, ne13, s1, s2, s3, offset);
+                         });
 }
 
 template<typename T>
@@ -402,25 +408,19 @@ static void upscale_sycl(const T *x, T *dst, const int nb00, const int nb01,
 
 template<typename KernelInvoker, typename... Args>
 static inline void dispatch_ggml_sycl_op_unary(ggml_backend_sycl_context & ctx, ggml_tensor * dst, KernelInvoker kernel_invoker, Args&&... args) {
-#if defined (GGML_SYCL_F16)
     GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16);
     GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
-#else
-    GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
-#endif
     GGML_ASSERT(dst->src[0]->type == dst->type);
+
     dpct::queue_ptr main_stream = ctx.stream();
     SYCL_CHECK(ggml_sycl_set_device(ctx.device));
     switch (dst->type) {
-#if defined (GGML_SYCL_F16)
         case GGML_TYPE_F16:
             {
                 auto data_pts = cast_data<sycl::half>(dst);
                 kernel_invoker(data_pts.src, data_pts.dst, (int)ggml_nelements(dst->src[0]), main_stream, std::forward<Args>(args)...);
                 break;
             }
-#endif
         case GGML_TYPE_F32:
             {
                 auto data_pts = cast_data<float>(dst);
@@ -434,14 +434,10 @@ static inline void dispatch_ggml_sycl_op_unary(ggml_backend_sycl_context & ctx,
 
 template<typename KernelInvoker, typename... Args>
 static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & ctx, ggml_tensor * dst, KernelInvoker kernel_invoker, Args&&... args) {
-#if defined (GGML_SYCL_F16)
     GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16);
     GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
-#else
-    GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
-#endif
     GGML_ASSERT(dst->src[0]->type == dst->type);
+
     dpct::queue_ptr main_stream = ctx.stream();
     SYCL_CHECK(ggml_sycl_set_device(ctx.device));
     const ggml_tensor * src0 = dst->src[0];
@@ -463,7 +459,6 @@ static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & c
         GGML_ASSERT(src0->type == src1->type);
     }
     switch (dst->type) {
-#if defined (GGML_SYCL_F16)
         case GGML_TYPE_F16:
             {
                 sycl::half * src0_p = (sycl::half *) src0_d;
@@ -484,7 +479,6 @@ static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & c
                                std::forward<Args>(args)...);
                 break;
             }
-#endif
         case GGML_TYPE_F32:
             {
                 float * src0_p = (float *) src0_d;
@@ -513,13 +507,9 @@ static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & c
 
 template<typename KernelInvoker, typename... Args>
 static inline void dispatch_ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst, KernelInvoker kernel_invoker, Args&&... args) {
-#if defined (GGML_SYCL_F16)
     GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16);
     GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
-#else
-    GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
-#endif
+
     GGML_ASSERT(dst->src[0]->type == dst->type);
 
     dpct::queue_ptr main_stream = ctx.stream();
@@ -530,7 +520,6 @@ static inline void dispatch_ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx
     const float sf2 = (float) dst->ne[2] / dst->src[0]->ne[2];
     const float sf3 = (float) dst->ne[3] / dst->src[0]->ne[3];
     switch (dst->type) {
-#if defined (GGML_SYCL_F16)
         case GGML_TYPE_F16:
             {
                 auto data_pts = cast_data<sycl::half>(dst);
@@ -539,7 +528,6 @@ static inline void dispatch_ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx
                                main_stream, std::forward<Args>(args)...);
                 break;
             }
-#endif
         case GGML_TYPE_F32:
             {
                 auto data_pts = cast_data<float>(dst);
@@ -868,22 +856,31 @@ static inline void ggml_sycl_op_trunc(ggml_backend_sycl_context & ctx, ggml_tens
 }
 
 static inline void ggml_sycl_op_acc(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
-    GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->src[1]->type == GGML_TYPE_F32);
+    const ggml_tensor * src0 = dst->src[0];
+    const ggml_tensor * src1 = dst->src[1];
+
+    const float * src0_d = (const float *) src0->data;
+    const float * src1_d = (const float *) src1->data;
+    float       * dst_d  = (float       *)  dst->data;
+
+    dpct::queue_ptr stream = ctx.stream();
+
+    GGML_ASSERT(src0->type == GGML_TYPE_F32);
+    GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->ne[3] == 1); // just 3D tensors supported
-    dpct::queue_ptr main_stream = ctx.stream();
-    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
-    const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
-    const float * src1_dd = static_cast<const float*>(dst->src[1]->data);
-    float *       dst_dd  = static_cast<float *>(dst->data);
 
-    int nb1 = dst->op_params[0] / 4; // 4 bytes of float32
-    int nb2 = dst->op_params[1] / 4; // 4 bytes of float32
-    // int nb3 = dst->op_params[2] / 4; // 4 bytes of float32 - unused
-    int offset = dst->op_params[3] / 4; // offset in bytes
+    GGML_ASSERT(ggml_is_contiguous(src1));
+    GGML_ASSERT(dst->nb[0] == ggml_element_size(dst));
+    GGML_ASSERT(ggml_is_contiguously_allocated(dst));
+
+    const int64_t s1     = dst->op_params[0] / sizeof(float);
+    const int64_t s2     = dst->op_params[1] / sizeof(float);
+    const int64_t s3     = dst->op_params[2] / sizeof(float);
+    const int64_t offset = dst->op_params[3] / sizeof(float);
 
-    ggml_sycl_detail::acc_f32_sycl(src0_dd, src1_dd, dst_dd, (int)ggml_nelements(dst), (int)dst->src[1]->ne[0], (int)dst->src[1]->ne[1], (int)dst->src[1]->ne[2], nb1, nb2, offset, main_stream);
+    ggml_sycl_detail::acc_f32_sycl(src0_d, src1_d, dst_d, ggml_nelements(dst),
+        src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
+        s1, s2, s3, offset, stream);
 }
 
 static inline void ggml_sycl_op_geglu(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
diff --git a/ggml/src/ggml-sycl/fattn-common.hpp b/ggml/src/ggml-sycl/fattn-common.hpp
new file mode 100644
index 00000000000..ed00d03c3b6
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn-common.hpp
@@ -0,0 +1,1179 @@
+#pragma once
+
+#include <sycl/sycl.hpp>
+#include "dpct/helper.hpp"
+#include "common.hpp"
+#include "convert.hpp"
+#include "vecdotq.hpp"
+
+#include "ggml.h"
+
+#include <cstdint>
+#include <cmath>
+#include <float.h>
+
+
+#define FATTN_KQ_STRIDE       256
+#define HALF_MAX_HALF         sycl::half(65504.0f/2) // Use neg. of this instead of -INFINITY to initialize KQ max vals to avoid NaN upon subtraction.
+#define SOFTMAX_FTZ_THRESHOLD -20.0f                   // Softmax exp. of values smaller than this are flushed to zero to avoid NaNs.
+#define FATTN_KQ_MAX_OFFSET (3.0f*0.6931f)
+
+typedef void (*fattn_kernel_t)(
+    const char* Q,
+    const char* K,
+    const char* V,
+    const char* mask,
+    const char* sinks,
+    const int* KV_max,
+    float* dst,
+    sycl::float2* dst_meta,
+    const float scale,
+    const float max_bias,
+    const float m0,
+    const float m1,
+    const uint32_t n_head_log2,
+    const float logit_softcap,
+    const int32_t ne00,
+    const sycl::uint3 ne01,
+    const int32_t ne02,
+    const int32_t ne03,
+    const int32_t nb01,
+    const int32_t nb02,
+    const int32_t nb03,
+    const int32_t ne10,
+    const int32_t ne11,
+    const int32_t ne12,
+    const int32_t ne13,
+    const int32_t nb11,
+    const int32_t nb12,
+    const int64_t nb13,
+    const int32_t nb21,
+    const int32_t nb22,
+    const int64_t nb23,
+    const int32_t ne31,
+    const int32_t ne32,
+    const int32_t ne33,
+    const int32_t nb31,
+    const int32_t nb32,
+    const int64_t nb33);
+
+typedef float (*vec_dot_KQ_t)(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds);
+
+template <int D, int nthreads>
+static __dpct_inline__ float vec_dot_fattn_vec_KQ_f16(const char * __restrict__ K_c,
+                                                      const void * __restrict__ Q_v,
+                                                      const int * __restrict__ Q_q8,
+                                                      const void * __restrict__ Q_ds_v) {
+    const sycl::half2 * K_h2 = (const sycl::half2 *) K_c;
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+
+    constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += nthreads*cpy_ne) {
+        sycl::half2 tmp[cpy_ne];
+        ggml_sycl_memcpy_1<sizeof(tmp)>(
+            tmp,
+            K_h2 + k_KQ_0 + (sycl::ext::oneapi::this_work_item::get_nd_item<3>().get_local_id(2) % nthreads) * cpy_ne);
+#pragma unroll
+        for (int k_KQ_1 = 0; k_KQ_1 < cpy_ne; ++k_KQ_1) {
+#ifdef GGML_SYCL_F16
+            ggml_sycl_mad(sum,                tmp[k_KQ_1] , ((const sycl::half2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]);
+#else
+            ggml_sycl_mad(sum, __half22float2(tmp[k_KQ_1]), ((const sycl::float2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]);
+#endif // GGML_SYCL_F16
+        }
+    }
+
+    return sum;
+}
+
+template <int D, int nthreads, int warp_size>
+static __dpct_inline__ float vec_dot_fattn_vec_KQ_q4_0(const char * __restrict__ K_c,
+                                                       const void * __restrict__ Q_v,
+                                                       const int * __restrict__ Q_q8,
+                                                       const void * __restrict__ Q_ds_v) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+
+    const block_q4_0 * K_q4_0   = (const block_q4_0 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) {
+        const int k_KQ =
+            k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads);
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI4_0;
+        const int shift = k_KQ & (QI8_1/2);
+
+        int v;
+        ggml_sycl_memcpy_1<sizeof(int), 2>(&v, K_q4_0[ib].qs + sizeof(int)*iqs4);
+        v = (v >> shift) & 0x0F0F0F0F;
+        const int u = Q_q8[k_KQ_0/nthreads];
+
+        const int sumi = ggml_sycl_dp4a(v, u, 0);
+
+        const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads];
+        sum += __half2float(K_q4_0[ib].d) * (sumi*Q_ds.x() - (8/QI8_1)*Q_ds.y());
+    }
+
+    return sum;
+}
+
+template <int D, int nthreads , int warp_size>
+static __dpct_inline__ float vec_dot_fattn_vec_KQ_q4_1(const char * __restrict__ K_c,
+                                                       const void * __restrict__ Q_v,
+                                                       const int * __restrict__ Q_q8,
+                                                       const void * __restrict__ Q_ds_v) {
+    auto               item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const block_q4_1 * K_q4_1   = (const block_q4_1 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) {
+        const int k_KQ =
+            k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads);
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI4_1;
+        const int shift = k_KQ & (QI8_1/2);
+
+        int v;
+        ggml_sycl_memcpy_1<sizeof(int)>(&v, K_q4_1[ib].qs + sizeof(int)*iqs4);
+        v = (v >> shift) & 0x0F0F0F0F;
+        const int u = Q_q8[k_KQ_0/nthreads];
+
+        const int sumi = ggml_sycl_dp4a(v, u, 0);
+
+        const sycl::float2 K_dm = (K_q4_1[ib].dm).template convert<float, sycl::rounding_mode::automatic>();
+        const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads];
+
+        sum += K_dm.x()*Q_ds.x()*sumi + K_dm.y()*Q_ds.y()/QI8_1;
+    }
+
+    return sum;
+}
+
+template <int D, int nthreads, int warp_size>
+static __dpct_inline__ float vec_dot_fattn_vec_KQ_q5_0(const char * __restrict__ K_c,
+                                                       const void * __restrict__ Q_v,
+                                                       const int * __restrict__ Q_q8,
+                                                       const void * __restrict__ Q_ds_v) {
+    auto               item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const block_q5_0 * K_q5_0   = (const block_q5_0 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) {
+        const int k_KQ =
+            k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads);
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI5_0;
+        const int iqs8  = k_KQ %  QI8_1;
+        const int shift = k_KQ & (QI8_1/2);
+
+        int v;
+        ggml_sycl_memcpy_1<sizeof(int), 2>(&v, K_q5_0[ib].qs + sizeof(int)*iqs4);
+        v = (v >> shift) & 0x0F0F0F0F;
+
+        {
+            int vh;
+            ggml_sycl_memcpy_1<sizeof(int), 2>(&vh, K_q5_0[ib].qh);
+            vh >>= iqs8 * QI5_0;
+
+            v |= (vh <<  4) & 0x00000010; // 0 ->  4
+            v |= (vh << 11) & 0x00001000; // 1 -> 12
+            v |= (vh << 18) & 0x00100000; // 2 -> 20
+            v |= (vh << 25) & 0x10000000; // 3 -> 28
+        }
+
+        const int u = Q_q8[k_KQ_0/nthreads];
+
+        const int sumi = ggml_sycl_dp4a(v, u, 0);
+
+        const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads];
+
+        sum += __half2float(K_q5_0[ib].d) * (sumi*Q_ds.x() - (16/QI8_1)*Q_ds.y());
+    }
+
+    return sum;
+}
+
+template <int D, int nthreads, int warp_size>
+static __dpct_inline__ float vec_dot_fattn_vec_KQ_q5_1(const char * __restrict__ K_c,
+                                                       const void * __restrict__ Q_v,
+                                                       const int * __restrict__ Q_q8,
+                                                       const void * __restrict__ Q_ds_v) {
+    auto               item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const block_q5_1 * K_q5_1   = (const block_q5_1 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) {
+        const int k_KQ =
+            k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads);
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI5_1;
+        const int iqs8  = k_KQ %  QI8_1;
+        const int shift = k_KQ & (QI8_1/2);
+
+        int v;
+        ggml_sycl_memcpy_1<sizeof(int)>(&v, K_q5_1[ib].qs + sizeof(int)*iqs4);
+        v = (v >> shift) & 0x0F0F0F0F;
+
+        {
+            int vh;
+            ggml_sycl_memcpy_1<sizeof(int)>(&vh, K_q5_1[ib].qh);
+            vh >>= iqs8 * QI5_0;
+
+            v |= (vh <<  4) & 0x00000010; // 0 ->  4
+            v |= (vh << 11) & 0x00001000; // 1 -> 12
+            v |= (vh << 18) & 0x00100000; // 2 -> 20
+            v |= (vh << 25) & 0x10000000; // 3 -> 28
+        }
+
+        const int u = Q_q8[k_KQ_0/nthreads];
+
+        const int sumi = ggml_sycl_dp4a(v, u, 0);
+
+        const sycl::float2 K_dm = (K_q5_1[ib].dm).template convert<float, sycl::rounding_mode::automatic>();
+        const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads];
+
+        sum += K_dm.x()*Q_ds.x()*sumi + K_dm.y()*Q_ds.y()/QI8_1;
+    }
+
+    return sum;
+}
+
+template <int D, int nthreads, int warp_size>
+static __dpct_inline__ float vec_dot_fattn_vec_KQ_q8_0(const char * __restrict__ K_c,
+                                                       const void * __restrict__ Q_v,
+                                                       const int * __restrict__ Q_q8,
+                                                       const void * __restrict__ Q_ds_v) {
+    auto               item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const block_q8_0 * K_q8_0   = (const block_q8_0 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) {
+        const int k_KQ =
+            k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads);
+
+        const int ib  = k_KQ / QI8_0;
+        const int iqs = k_KQ % QI8_0;
+
+        int v;
+        ggml_sycl_memcpy_1<sizeof(v), 2>(&v, K_q8_0[ib].qs + 4*iqs);
+
+        const sycl::float2 * Q_ds = (const sycl::float2 *) Q_ds_v;
+        const float          Q_d  = Q_ds[k_KQ_0 / nthreads].x();
+
+        sum += vec_dot_q8_0_q8_1_impl<float, 1>(&v, &Q_q8[k_KQ_0/nthreads], K_q8_0[ib].d, Q_d);
+    }
+
+    return sum;
+}
+
+template <typename Tds, int ni, int warp_size>
+static __dpct_inline__ void quantize_q8_1_to_shared(const float * __restrict__ x,
+                                                    const float scale,
+                                                    int * __restrict__ yq32,
+                                                    void * __restrict__ yds) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+
+    float vals[sizeof(int)] = { 0.0f };
+#pragma unroll
+    for (int l = 0; l < int(sizeof(int)); ++l) {
+        vals[l] =
+            (ni == warp_size || item_ct1.get_local_id(2) < ni) ? scale * x[4 * item_ct1.get_local_id(2) + l] : 0.0f;
+    }
+
+    float amax = sycl::fabs(vals[0]);
+    float sum  = vals[0];
+#pragma unroll
+    for (int l = 1; l < int(sizeof(int)); ++l) {
+        amax = sycl::fmax(amax, sycl::fabs(vals[l]));
+        sum += vals[l];
+    }
+#pragma unroll
+    for (int mask = QI8_1/2; mask > 0; mask >>= 1) {
+        amax = sycl::fmax(
+            amax, dpct::permute_sub_group_by_xor(sycl::ext::oneapi::this_work_item::get_sub_group(), amax, mask));
+        sum += dpct::permute_sub_group_by_xor(sycl::ext::oneapi::this_work_item::get_sub_group(), sum, mask);
+    }
+
+    const float d = amax / 127;
+    int q32 = 0;
+    int8_t * q8 = (int8_t *) &q32;
+
+    if (d != 0.0f) {
+#pragma unroll
+        for (int l = 0; l < int(sizeof(int)); ++l) {
+            q8[l] = sycl::round(vals[l] / d);
+        }
+    }
+
+    yq32[item_ct1.get_local_id(2)] = q32;
+    if (item_ct1.get_local_id(2) % QI8_1 == 0 && (ni == warp_size || item_ct1.get_local_id(2) < ni)) {
+        if (std::is_same<Tds, sycl::half2>::value) {
+            ((sycl::half2  *) yds)[item_ct1.get_local_id(2)/QI8_1] =  make_half2(d, sum);
+        } else {
+            ((sycl::float2 *) yds)[item_ct1.get_local_id(2)/QI8_1] = make_float2(d, sum);
+        }
+    }
+}
+
+typedef void (*dequantize_V_t)(const void *, void *, const int64_t);
+
+template <typename T, int ne>
+static __dpct_inline__ void dequantize_V_f16(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    if constexpr (std::is_same_v<T, sycl::half>) {
+        ggml_sycl_memcpy_1<ne * sizeof(sycl::half)>(dst, (const sycl::half *) vx + i0);
+    } else if constexpr (std::is_same_v<T, float>) {
+        static_assert(ne % 2 == 0, "bad ne");
+        sycl::half2 tmp[ne / 2];
+        ggml_sycl_memcpy_1<ne * sizeof(sycl::half)>(tmp, (const sycl::half *) vx + i0);
+        sycl::float2 * dst_f2 = (sycl::float2 *) dst;
+#pragma unroll
+        for (int l = 0; l < ne/2; ++l) {
+            dst_f2[l] = tmp[l].template convert<float, sycl::rounding_mode::automatic>();
+        }
+    } else {
+        static_assert(std::is_same_v<T, void>, "unsupported type");
+    }
+}
+
+template <typename T, int ne>
+static __dpct_inline__ void dequantize_V_q4_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    const block_q4_0 * x = (const block_q4_0 *) vx;
+
+    const int64_t ib    =  i0          /  QK4_0;
+    const int     iqs   =  i0          % (QK4_0/2);
+    const int     shift = (i0 % QK4_0) / (QK4_0/2);
+
+    int q;
+    static_assert(ne == 2 || ne == 4, "bad ne");
+    ggml_sycl_memcpy_1<ne, 2>(&q, x[ib].qs + iqs);
+    q >>= 4*shift;
+    q &= 0x0F0F0F0F;
+    q = dpct::vectorized_binary<sycl::char4>(q, 0x08080808, dpct::sub_sat());
+
+    const int8_t * q8 = (const int8_t *) &q;
+
+#ifdef GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, sycl::half>) {
+        const sycl::half2 d = sycl::half2(x[ib].d);
+
+#pragma unroll
+        for (int l0 = 0; l0 < ne; l0 += 2) {
+            ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]);
+        }
+    } else
+#endif // GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, float>) {
+        const float d = x[ib].d;
+
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            ((float *) dst)[l] = d * q8[l];
+        }
+    } else {
+        static_assert(std::is_same_v<T, void>, "bad type");
+    }
+}
+
+template <typename T, int ne>
+static __dpct_inline__ void dequantize_V_q4_1(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    const block_q4_1 * x = (const block_q4_1 *) vx;
+
+    const int64_t ib    =  i0          /  QK4_1;
+    const int     iqs   =  i0          % (QK4_1/2);
+    const int     shift = (i0 % QK4_1) / (QK4_1/2);
+
+    int q;
+    static_assert(ne == 2 || ne == 4, "bad ne");
+    ggml_sycl_memcpy_1<ne>(&q, x[ib].qs + iqs);
+    q >>= 4*shift;
+    q &= 0x0F0F0F0F;
+
+    const int8_t * q8 = (const int8_t *) &q;
+
+#ifdef GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, sycl::half>) {
+        const sycl::half2 dm = x[ib].dm;
+        const sycl::half2 d  = sycl::half2(dm[0]);
+        const sycl::half2 m  = sycl::half2(dm[1]);
+
+#pragma unroll
+        for (int l0 = 0; l0 < ne; l0 += 2) {
+            ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]) + m;
+        }
+    } else
+#endif // GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, float>) {
+        const sycl::float2 dm = (x[ib].dm).template convert<float, sycl::rounding_mode::automatic>();
+
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            ((float *) dst)[l] = dm.x() * q8[l] + dm.y();
+        }
+    } else {
+        static_assert(std::is_same_v<T, void>, "bad type");
+    }
+}
+
+template <typename T, int ne>
+static __dpct_inline__ void dequantize_V_q5_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    const block_q5_0 * x = (const block_q5_0 *) vx;
+
+    const int64_t ib    =  i0          /  QK5_0;
+    const int     idq   =  i0          %  QK5_0;
+    const int     iqs   =  i0          % (QK5_0/2);
+    const int     shift = (i0 % QK5_0) / (QK5_0/2);
+
+    int q;
+    static_assert(ne == 2 || ne == 4, "bad ne");
+    ggml_sycl_memcpy_1<ne, 2>(&q, x[ib].qs + iqs);
+    q >>= 4*shift;
+    q &= 0x0F0F0F0F;
+
+    {
+        int qh;
+        ggml_sycl_memcpy_1<ne, 2>(&qh, x[ib].qh);
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            q |= ((qh >> (idq + l)) & 0x00000001) << (8*l + 4);
+        }
+    }
+
+    q = dpct::vectorized_binary<sycl::char4>(q, 0x10101010, dpct::sub_sat());
+
+    const int8_t * q8 = (const int8_t *) &q;
+
+#ifdef GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, sycl::half>) {
+        const sycl::half2 d = sycl::half2(x[ib].d);
+
+#pragma unroll
+        for (int l0 = 0; l0 < ne; l0 += 2) {
+            ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]);
+        }
+    } else
+#endif // GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, float>) {
+        const float d = x[ib].d;
+
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            ((float *) dst)[l] = d * q8[l];
+        }
+    } else {
+        static_assert(std::is_same_v<T, void>, "bad type");
+    }
+}
+
+template <typename T, int ne>
+static __dpct_inline__ void dequantize_V_q5_1(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    const block_q5_1 * x = (const block_q5_1 *) vx;
+
+    const int64_t ib    =  i0          /  QK5_1;
+    const int     idq   =  i0          %  QK5_1;
+    const int     iqs   =  i0          % (QK5_1/2);
+    const int     shift = (i0 % QK5_1) / (QK5_1/2);
+
+    int q;
+    static_assert(ne == 2 || ne == 4, "bad ne");
+    ggml_sycl_memcpy_1<ne>(&q, x[ib].qs + iqs);
+    q >>= 4*shift;
+    q &= 0x0F0F0F0F;
+
+    {
+        int qh;
+        ggml_sycl_memcpy_1<ne>(&qh, x[ib].qh);
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            q |= ((qh >> (idq + l)) & 0x00000001) << (8*l + 4);
+        }
+    }
+
+    const int8_t * q8 = (const int8_t *) &q;
+
+#ifdef GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, sycl::half>) {
+        const sycl::half2 dm = x[ib].dm;
+        const sycl::half2 d  = sycl::half2(dm[0]);
+        const sycl::half2 m  = sycl::half2(dm[1]);
+
+#pragma unroll
+        for (int l0 = 0; l0 < ne; l0 += 2) {
+            ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]) + m;
+        }
+    } else
+#endif // GGML_SYCL_F16
+    if constexpr (std::is_same_v<T, float>) {
+        const sycl::float2 dm = (x[ib].dm).template convert<float, sycl::rounding_mode::automatic>();
+
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            ((float *) dst)[l] = dm.x() * q8[l] + dm.y();
+        }
+    } else {
+        static_assert(std::is_same_v<T, void>, "bad type");
+    }
+}
+
+template <typename T, int ne>
+static __dpct_inline__ void dequantize_V_q8_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) {
+    const block_q8_0 * x = (const block_q8_0 *) vx;
+
+    const int64_t ib  = i0 / QK8_0;
+    const int     iqs = i0 % QK8_0;
+
+    static_assert(ne % 2 == 0, "bad ne");
+    int8_t qs[ne];
+    ggml_sycl_memcpy_1<ne, 2>(qs, x[ib].qs + iqs);
+
+#ifdef GGML_SYCL_F16
+    if constexpr (std::is_same<T, sycl::half>::value) {
+        const sycl::half2 d = sycl::half2(x[ib].d);
+
+#pragma unroll
+        for (int l0 = 0; l0 < ne; l0 += 2) {
+            ((sycl::half2 *) dst)[l0 / 2] = d * make_half2(qs[l0 + 0], qs[l0 + 1]);
+        }
+    } else
+#endif // GGML_SYCL_F16
+    if constexpr (std::is_same<T, float>::value) {
+        const float d = x[ib].d;
+
+#pragma unroll
+        for (int l = 0; l < ne; ++l) {
+            ((float *) dst)[l] = d * qs[l];
+        }
+    } else {
+        static_assert(std::is_same_v<T, void>, "unsupported type");
+    }
+}
+
+template <int type_K, int D, int nthreads, int warp_size>
+constexpr vec_dot_KQ_t get_vec_dot_KQ() {
+    if constexpr (type_K == GGML_TYPE_F16) {
+        return vec_dot_fattn_vec_KQ_f16<D, nthreads>;
+    } else if constexpr (type_K == GGML_TYPE_Q4_0) {
+        return vec_dot_fattn_vec_KQ_q4_0<D, nthreads, warp_size>;
+    } else if constexpr (type_K == GGML_TYPE_Q4_1) {
+        return vec_dot_fattn_vec_KQ_q4_1<D, nthreads, warp_size>;
+    } else if constexpr (type_K == GGML_TYPE_Q5_0) {
+        return vec_dot_fattn_vec_KQ_q5_0<D, nthreads, warp_size>;
+    } else if constexpr (type_K == GGML_TYPE_Q5_1) {
+        return vec_dot_fattn_vec_KQ_q5_1<D, nthreads, warp_size>;
+    } else if constexpr (type_K == GGML_TYPE_Q8_0) {
+        return vec_dot_fattn_vec_KQ_q8_0<D, nthreads, warp_size>;
+    } else {
+        static_assert(type_K == -1, "bad type");
+        return nullptr;
+    }
+}
+
+template <int type_V, typename T, int ne>
+constexpr dequantize_V_t get_dequantize_V() {
+    if constexpr (type_V == GGML_TYPE_F16) {
+        return dequantize_V_f16<T, ne>;
+    } else if constexpr (type_V == GGML_TYPE_Q4_0) {
+        return dequantize_V_q4_0<T, ne>;
+    } else if constexpr (type_V == GGML_TYPE_Q4_1) {
+        return dequantize_V_q4_1<T, ne>;
+    } else if constexpr (type_V == GGML_TYPE_Q5_0) {
+        return dequantize_V_q5_0<T, ne>;
+    } else if constexpr (type_V == GGML_TYPE_Q5_1) {
+        return dequantize_V_q5_1<T, ne>;
+    } else if constexpr (type_V == GGML_TYPE_Q8_0) {
+        return dequantize_V_q8_0<T, ne>;
+    } else {
+        static_assert(type_V == -1, "bad type");
+        return nullptr;
+    }
+}
+
+template <int ncols1, int warp_size>
+static void flash_attn_mask_to_KV_max(const sycl::half2 * __restrict__ mask,
+                                      int * __restrict__ KV_max,
+                                      const int ne30,
+                                      const int s31,
+                                      const int s33,
+                                      int *     buf_iw) {
+    auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int ne31     = item_ct1.get_group_range(2);
+    const int tid      = item_ct1.get_local_id(2);
+    const int sequence = item_ct1.get_group(1);
+    const int jt       = item_ct1.get_group(2);
+
+    mask += sequence*s33 + jt*ncols1*s31;
+
+    if (tid < warp_size) {
+        buf_iw[tid] = 1;
+    }
+    item_ct1.barrier(sycl::access::fence_space::local_space);
+
+    int KV_max_sj = (ne30 - 1) * FATTN_KQ_STRIDE;
+    for (; KV_max_sj >= 0; KV_max_sj -= FATTN_KQ_STRIDE) {
+        int all_inf = 1;
+
+#pragma unroll
+        for (int j = 0; j < ncols1; ++j) {
+            const sycl::float2 tmp =
+                mask[j * s31 + KV_max_sj / 2 + tid].template convert<float, sycl::rounding_mode::automatic>();
+            all_inf = all_inf && int(sycl::isinf((float) (tmp.x()))) && int(sycl::isinf((float) (tmp.y())));
+        }
+
+        all_inf = warp_reduce_all<warp_size>(all_inf);
+        if (tid % warp_size == 0) {
+            buf_iw[tid / warp_size] = all_inf;
+        }
+        item_ct1.barrier(sycl::access::fence_space::local_space);
+        all_inf = buf_iw[tid % warp_size];
+        item_ct1.barrier(sycl::access::fence_space::local_space);
+        all_inf = warp_reduce_all<warp_size>(all_inf);
+
+        if (!all_inf) {
+            break;
+        }
+    }
+
+    // If the break in the loop was not triggered, KV_max_sj is now -FATTN_KQ_STRIDE.
+    // If the break was triggered it's the lower edge of the tile with the first non-masked values.
+    // In either case, walk back the decrementation by FATTN_KQ_STRIDE.
+    KV_max_sj += FATTN_KQ_STRIDE;
+
+    if (item_ct1.get_local_id(2) != 0) {
+        return;
+    }
+
+    KV_max[sequence*ne31 + jt] = KV_max_sj;
+}
+
+template <int D, int ncols1, int ncols2>  // D == head size
+
+static void flash_attn_stream_k_fixup(float * __restrict__ dst,
+                                      const sycl::float2 * __restrict__ dst_fixup,
+                                      const int ne01,
+                                      const int ne02,
+                                      const int ne03,
+                                      const int ne11,
+                                      const int ne12,
+                                      const int nbatch_fa) {
+    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    constexpr int ncols    = ncols1 * ncols2;
+
+    const int bidx0 = item_ct1.get_group(2);
+    const int j     = item_ct1.get_group(1);
+    const int c     = item_ct1.get_group(0);
+    const int jc    = j*ncols2 + c;
+    const int tid   = item_ct1.get_local_id(2);
+
+    const float * dst_fixup_data = ((const float *) dst_fixup) + item_ct1.get_group_range(2) * (2 * 2 * ncols);
+
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+
+    const int iter_k     = (ne11      + (nbatch_fa - 1)) / nbatch_fa;
+    const int iter_j     = (ne01      + (ncols1    - 1)) / ncols1;
+    const int iter_z_gqa = (gqa_ratio + (ncols2    - 1)) / ncols2;
+
+    const int kbc0 = int64_t(bidx0 + 0) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2);
+    const int kbc0_stop =
+        int64_t(bidx0 + 1) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2);
+
+    const bool did_not_have_any_data   = kbc0 == kbc0_stop;
+    const bool wrote_beginning_of_tile = kbc0 % iter_k == 0;
+    const bool did_not_write_last      = kbc0/iter_k == kbc0_stop/iter_k && kbc0_stop % iter_k != 0;
+    if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) {
+        return;
+    }
+
+    // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index
+    const int sequence =  kbc0 /(iter_k*iter_j*iter_z_gqa*ne12);
+    const int z_KV     = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence)/(iter_k*iter_j*iter_z_gqa);
+    const int zt_gqa   = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV)/(iter_k*iter_j);
+    const int jt       = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV - iter_k*iter_j * zt_gqa) / iter_k;
+
+    const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index.
+
+    if (jt*ncols1 + j >= ne01 || zt_gqa*ncols2 + c >= gqa_ratio) {
+        return;
+    }
+
+    dst += sequence*ne02*ne01*D + jt*ne02*(ncols1*D) + zt_Q*D + (j*ne02 + c)*D + tid;
+
+    // Load the partial result that needs a fixup:
+    float dst_val = 0.0f;
+    float max_val = 0.0f;
+    float rowsum  = 0.0f;
+    {
+        dst_val = *dst;
+
+        const sycl::float2 tmp = dst_fixup[bidx0 * ncols + jc];
+        max_val                = tmp.x();
+        rowsum                 = tmp.y();
+    }
+
+    // Iterate over previous blocks and compute the combined results.
+    // All SYCL blocks that get here must have a previous block that needs a fixup.
+    int bidx = bidx0 - 1;
+    int kbc_stop = kbc0;
+    while(true) {
+        const int kbc = int64_t(bidx) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2);
+        if (kbc == kbc_stop) { // Did not have any data.
+            bidx--;
+            kbc_stop = kbc;
+            continue;
+        }
+
+        const float dst_add = dst_fixup_data[bidx*ncols*D + jc*D + tid];
+
+        const sycl::float2 tmp = dst_fixup[(item_ct1.get_group_range(2) + bidx) * ncols + jc];
+
+        // Scale the current and new value accumulators depending on the max. values.
+        const float max_val_new = sycl::fmax(max_val, tmp.x());
+
+        const float diff_val = max_val - max_val_new;
+        const float diff_add = tmp.x() - max_val_new;
+
+        const float scale_val = diff_val >= SOFTMAX_FTZ_THRESHOLD ? sycl::native::exp(diff_val) : 0.0f;
+        const float scale_add = diff_add >= SOFTMAX_FTZ_THRESHOLD ? sycl::native::exp(diff_add) : 0.0f;
+
+        dst_val = scale_val*dst_val + scale_add*dst_add;
+        rowsum  = scale_val * rowsum + scale_add * tmp.y();
+
+        max_val = max_val_new;
+
+        // If this block started in a previous tile we are done and don't need to combine additional partial results.
+        if (kbc % iter_k == 0 || kbc/iter_k < kbc0/iter_k) {
+            break;
+        }
+        bidx--;
+        kbc_stop = kbc;
+    }
+
+    // Write back final result:
+    *dst = dst_val / rowsum;
+}
+
+template <int D>  // D == head size
+
+static void flash_attn_combine_results(const float * __restrict__ VKQ_parts,
+                                       const sycl::float2 * __restrict__ VKQ_meta,
+                                       float * __restrict__ dst,
+                                       const int parallel_blocks,
+                                       uint8_t * dpct_local) {
+    // Dimension 0: threadIdx.x
+    // Dimension 1: blockIdx.x
+    // Dimension 2: blockIdx.y
+    // Dimension 3: blockIdx.z
+    // Memory layout is permuted with [0, 2, 1, 3]
+
+    auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int ne01     = item_ct1.get_group_range(2);
+    const int ne02     = item_ct1.get_group_range(1);
+
+    const int col      = item_ct1.get_group(2);
+    const int head     = item_ct1.get_group(1);
+    const int sequence = item_ct1.get_group(0);
+
+    const int j_dst_unrolled = (sequence*ne01 + col)*ne02 + head;
+
+    VKQ_parts += j_dst_unrolled * parallel_blocks*D;
+    VKQ_meta  += j_dst_unrolled * parallel_blocks;
+    dst       += j_dst_unrolled *                 D;
+
+    const int tid = item_ct1.get_local_id(2);
+    __builtin_assume(tid < D);
+
+    auto meta = (sycl::float2 *) dpct_local;
+    for (int i = tid; i < 2*parallel_blocks; i += D) {
+        ((float *) meta)[i] = ((const float *)VKQ_meta) [i];
+    }
+
+    item_ct1.barrier(sycl::access::fence_space::local_space);
+
+    float kqmax = meta[0].x();
+    for (int l = 1; l < parallel_blocks; ++l) {
+        kqmax = sycl::max(kqmax, meta[l].x());
+    }
+
+    float VKQ_numerator   = 0.0f;
+    float VKQ_denominator = 0.0f;
+    for (int l = 0; l < parallel_blocks; ++l) {
+        const float KQ_max_scale = sycl::native::exp(meta[l].x() - kqmax);
+
+        VKQ_numerator   += KQ_max_scale * VKQ_parts[l*D + tid];
+        VKQ_denominator += KQ_max_scale * meta[l].y();
+    }
+
+    dst[tid] = VKQ_numerator / VKQ_denominator;
+}
+
+template <fattn_kernel_t fattn_kernel, int warp_size>
+static void lauch_kernel(
+    dpct::dim3 group_range,
+    dpct::dim3 local_range,
+    queue_ptr q,
+    unsigned int local_mem_size,
+    const char* __restrict__ Q,
+    const char* __restrict__ K,
+    const char* __restrict__ V,
+    const char* __restrict__ mask,
+    const char* __restrict__ sinks,
+    const int* __restrict__ KV_max,
+    float* __restrict__ dst,
+    sycl::float2* __restrict__ dst_meta,
+    const float scale,
+    const float max_bias,
+    const float m0,
+    const float m1,
+    const uint32_t n_head_log2,
+    const float logit_softcap,
+    const int32_t ne00,
+    const sycl::uint3 ne01,
+    const int32_t ne02,
+    const int32_t ne03,
+    const int32_t nb01,
+    const int32_t nb02,
+    const int32_t nb03,
+    const int32_t ne10,
+    const int32_t ne11,
+    const int32_t ne12,
+    const int32_t ne13,
+    const int32_t nb11,
+    const int32_t nb12,
+    const int64_t nb13,
+    const int32_t nb21,
+    const int32_t nb22,
+    const int64_t nb23,
+    const int32_t ne31,
+    const int32_t ne32,
+    const int32_t ne33,
+    const int32_t nb31,
+    const int32_t nb32,
+    const int64_t nb33) {
+    GGML_UNUSED(local_mem_size);
+    q->submit([&](sycl::handler &cgh) {
+        cgh.parallel_for(
+            sycl::nd_range<3>(
+                static_cast<sycl::range<3>>(group_range * local_range),
+                static_cast<sycl::range<3>>(local_range)),
+            [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(warp_size)]] {
+                GGML_UNUSED(item_ct1);
+                fattn_kernel(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale,
+                             max_bias, m0, m1, n_head_log2, logit_softcap, ne00,
+                             ne01, ne02, ne03, nb01, nb02, nb03, ne10, ne11,
+                             ne12, ne13, nb11, nb12, nb13, nb21, nb22, nb23,
+                             ne31, ne32, ne33, nb31, nb32, nb33);
+            });
+    });
+}
+
+template <int DV, int ncols1, int ncols2, fattn_kernel_t fattn_kernel, int warp_size>
+void launch_fattn(
+    ggml_backend_sycl_context & ctx, ggml_tensor * dst, const int nwarps, const size_t nbytes_shared,
+    const int nbatch_fa, const bool need_f16_K, const bool need_f16_V, const bool stream_k) {
+
+    constexpr int ncols = ncols1 * ncols2;
+
+    const ggml_tensor * Q = dst->src[0];
+    const ggml_tensor * K = dst->src[1];
+    const ggml_tensor * V = dst->src[2];
+
+    const bool V_is_K_view = V->view_src && (V->view_src == K || (V->view_src == K->view_src && V->view_offs == K->view_offs));
+
+    const ggml_tensor * mask  = dst->src[3];
+    const ggml_tensor * sinks = dst->src[4];
+
+    ggml_tensor * KQV = dst;
+
+    GGML_ASSERT(Q->type == GGML_TYPE_F32);
+    GGML_ASSERT(KQV->type == GGML_TYPE_F32);
+
+    GGML_ASSERT(Q->nb[0] == ggml_element_size(Q));
+    GGML_ASSERT(K->nb[0] == ggml_element_size(K));
+    GGML_ASSERT(V->nb[0] == ggml_element_size(V));
+
+    GGML_ASSERT(!mask || mask->type == GGML_TYPE_F16);
+
+    ggml_sycl_pool & pool = ctx.pool();
+    dpct::queue_ptr  main_stream = ctx.stream();
+    const int id  = ggml_sycl_get_device();
+    const int nsm = ggml_sycl_info().devices[id].nsm;
+
+    ggml_sycl_pool_alloc<sycl::half>   K_f16(pool);
+    ggml_sycl_pool_alloc<sycl::half>   V_f16(pool);
+    ggml_sycl_pool_alloc<int>    KV_max(pool);
+    ggml_sycl_pool_alloc<float>  dst_tmp(pool);
+    ggml_sycl_pool_alloc<sycl::float2> dst_tmp_meta(pool);
+
+    const char * K_data = (const char *) K->data;
+    size_t nb11 = K->nb[1];
+    size_t nb12 = K->nb[2];
+    size_t nb13 = K->nb[3];
+
+    const char * V_data = (const char *) V->data;
+    size_t nb21 = V->nb[1];
+    size_t nb22 = V->nb[2];
+    size_t nb23 = V->nb[3];
+
+    if (need_f16_K && K->type != GGML_TYPE_F16) {
+        const size_t bs = ggml_blck_size(K->type);
+        const size_t ts = ggml_type_size(K->type);
+
+        K_f16.alloc(ggml_nelements(K));
+        if (ggml_is_contiguously_allocated(K)) {
+            to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(K->type, dst);
+            to_fp16(K_data, K_f16.ptr, ggml_nelements(K), main_stream);
+
+            nb11 = nb11 * bs * sizeof(sycl::half) / ts;
+            nb12 = nb12 * bs * sizeof(sycl::half) / ts;
+            nb13 = nb13 * bs * sizeof(sycl::half) / ts;
+        } else {
+            GGML_ASSERT(K->nb[0] == ts);
+            to_fp16_nc_sycl_t to_fp16 = ggml_get_to_fp16_nc_sycl(K->type);
+            const int64_t s01 = nb11 / ts;
+            const int64_t s02 = nb12 / ts;
+            const int64_t s03 = nb13 / ts;
+            to_fp16(K_data, K_f16.ptr, K->ne[0], K->ne[1], K->ne[2], K->ne[3], s01, s02, s03, main_stream);
+
+            nb11 = K->ne[0] * sizeof(sycl::half);
+            nb12 = K->ne[1] * nb11;
+            nb13 = K->ne[2] * nb12;
+        }
+        K_data = (char *) K_f16.ptr;
+    }
+
+    if (need_f16_V && V->type != GGML_TYPE_F16) {
+        if (V_is_K_view) {
+            V_data = K_data;
+            nb21   = nb11;
+            nb22   = nb12;
+            nb23   = nb13;
+        } else {
+            const size_t bs = ggml_blck_size(V->type);
+            const size_t ts = ggml_type_size(V->type);
+
+            V_f16.alloc(ggml_nelements(V));
+            if (ggml_is_contiguously_allocated(V)) {
+                to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(V->type, dst);
+                to_fp16(V_data, V_f16.ptr, ggml_nelements(V), main_stream);
+                V_data = (char *) V_f16.ptr;
+
+                nb21 = nb21 * bs * sizeof(sycl::half) / ts;
+                nb22 = nb22 * bs * sizeof(sycl::half) / ts;
+                nb23 = nb23 * bs * sizeof(sycl::half) / ts;
+            } else {
+                GGML_ASSERT(V->nb[0] == ts);
+                to_fp16_nc_sycl_t to_fp16 = ggml_get_to_fp16_nc_sycl(V->type);
+                const int64_t s01 = nb21 / ts;
+                const int64_t s02 = nb22 / ts;
+                const int64_t s03 = nb23 / ts;
+                to_fp16(V_data, V_f16.ptr, V->ne[0], V->ne[1], V->ne[2], V->ne[3], s01, s02, s03, main_stream);
+
+                nb21 = V->ne[0] * sizeof(sycl::half);
+                nb22 = V->ne[1] * nb21;
+                nb23 = V->ne[2] * nb22;
+            }
+            V_data = (char *) V_f16.ptr;
+        }
+    }
+
+    const int ntiles_x     = ((Q->ne[1] + ncols1 - 1) / ncols1);
+    const int gqa_ratio    = Q->ne[2] / K->ne[2];
+    const int ntiles_z_gqa = ((gqa_ratio + ncols2 - 1) / ncols2);
+    const int ntiles_total = ntiles_x * ntiles_z_gqa * K->ne[2] * Q->ne[3];
+
+    // Optional optimization where the mask is scanned to determine whether part of the calculation can be skipped.
+    // Only worth the overhead if there is at lease one FATTN_KQ_STRIDE x FATTN_KQ_STRIDE square to be skipped or
+    //     multiple sequences of possibly different lengths.
+    if (mask && K->ne[1] % FATTN_KQ_STRIDE == 0 && (Q->ne[1] >= 1024 || Q->ne[3] > 1)) {
+        const int s31 = mask->nb[1] / sizeof(sycl::half2);
+        const int s33 = mask->nb[3] / sizeof(sycl::half2);
+
+        const dpct::dim3 blocks_num_KV_max(ntiles_x, Q->ne[3], 1);
+        const dpct::dim3 block_dim_KV_max(FATTN_KQ_STRIDE / 2, 1, 1);
+
+        const int ne_KV_max = blocks_num_KV_max.x*blocks_num_KV_max.y;
+        const int iter_k = K->ne[1] / FATTN_KQ_STRIDE;
+
+        KV_max.alloc(ne_KV_max);
+        {
+            dpct::has_capability_or_fail(main_stream->get_device(), { sycl::aspect::fp16 });
+
+            main_stream->submit([&](sycl::handler & cgh) {
+                sycl::local_accessor<int, 1> buf_iw_acc_ct1(sycl::range<1>(warp_size), cgh);
+
+                auto mask_data_ct0  = (const sycl::half2 *) mask->data;
+                auto KV_max_ptr_ct1 = KV_max.ptr;
+
+                cgh.parallel_for(sycl::nd_range<3>(blocks_num_KV_max * block_dim_KV_max, block_dim_KV_max),
+                                 [=](sycl::nd_item<3> item_ct1) {
+                                     GGML_UNUSED(item_ct1);
+                                     flash_attn_mask_to_KV_max<ncols1, warp_size>(
+                                         mask_data_ct0, KV_max_ptr_ct1, iter_k, s31, s33,
+                                         buf_iw_acc_ct1.get_multi_ptr<sycl::access::decorated::no>().get());
+                                 });
+            });
+        }
+        SYCL_CHECK(0);
+    }
+
+    const dpct::dim3 block_dim(warp_size, nwarps, 1);
+
+    // Max. number of active blocks limited by occupancy.
+    int max_blocks_per_sm = ggml_sycl_info().devices[id].max_wg_per_cu;
+    int parallel_blocks = max_blocks_per_sm;
+    dpct::dim3 blocks_num;
+    if (stream_k) {
+        // For short contexts it can be faster to have the SMs work on whole tiles because this lets us skip the fixup.
+        const int max_blocks = max_blocks_per_sm*nsm;
+        const int nblocks_stream_k = max_blocks;
+        const bool use_stream_k = true;
+
+        blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_total;
+        blocks_num.y = 1;
+        blocks_num.z = 1;
+
+        if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles.
+            dst_tmp_meta.alloc((size_t(blocks_num.x) * ncols * (2 + DV/2)));
+        }
+    } else {
+        const int ntiles_KQ = (K->ne[1] + nbatch_fa - 1) / nbatch_fa; // Max. number of parallel blocks limited by tensor size.
+
+        // parallel_blocks must not be larger than what the tensor size allows:
+        parallel_blocks = std::min(parallel_blocks, ntiles_KQ);
+        // todo fix the hard code change
+        // parallel_blocks = ntiles_KQ;
+
+        // If ntiles_total % blocks_per_wave != 0 then some efficiency is lost due to tail effects.
+        // Test whether parallel_blocks can be set to a higher value for better efficiency.
+        const int blocks_per_wave = nsm * max_blocks_per_sm;
+        int nwaves_best = 0;
+        int efficiency_percent_best = 0;
+        for (int parallel_blocks_test = parallel_blocks; parallel_blocks_test <= ntiles_KQ; ++parallel_blocks_test) {
+            const int nblocks_total = ntiles_total * parallel_blocks_test;
+            const int nwaves = (nblocks_total + blocks_per_wave - 1) / blocks_per_wave;
+            const int efficiency_percent = 100 * nblocks_total / (nwaves*blocks_per_wave);
+
+            // Stop trying configurations with more waves if we already have good efficiency to avoid excessive overhead.
+            if (efficiency_percent_best >= 95 && nwaves > nwaves_best) {
+                break;
+            }
+
+            if (efficiency_percent > efficiency_percent_best) {
+                nwaves_best = nwaves;
+                efficiency_percent_best = efficiency_percent;
+                parallel_blocks = parallel_blocks_test;
+            }
+        }
+
+        blocks_num.x = ntiles_x;
+        blocks_num.y = parallel_blocks;
+        blocks_num.z = ntiles_z_gqa*K->ne[2]*Q->ne[3];
+
+        if (parallel_blocks > 1) {
+            dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV));
+            dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV));
+        }
+    }
+
+    float scale         = 1.0f;
+    float max_bias      = 0.0f;
+    float logit_softcap = 0.0f;
+
+    memcpy(&scale,         (const float *) KQV->op_params + 0, sizeof(float));
+    memcpy(&max_bias,      (const float *) KQV->op_params + 1, sizeof(float));
+    memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float));
+
+    if (logit_softcap != 0.0f) {
+        scale /= logit_softcap;
+    }
+
+    const uint32_t n_head      = Q->ne[2];
+    const uint32_t n_head_log2 = 1u << uint32_t(floorf(log2f(float(n_head))));
+
+    const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
+    const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
+
+    // TODO other tensor dimensions after removal of WMMA kernel:
+    const sycl::uint3 ne01 = init_fastdiv_values(Q->ne[1]);
+
+    GGML_ASSERT(block_dim.x % warp_size == 0);
+
+    lauch_kernel<fattn_kernel, warp_size>(
+        blocks_num, block_dim, main_stream, (unsigned int) nbytes_shared, (const char *) Q->data, K_data, V_data,
+        mask ? ((const char *) mask->data) : nullptr, sinks ? ((const char *) sinks->data) : nullptr, KV_max.ptr,
+        !stream_k && parallel_blocks > 1 ? dst_tmp.ptr : (float *) KQV->data, (sycl::float2 *)dst_tmp_meta.ptr, scale, max_bias, m0, m1,
+        n_head_log2, logit_softcap, Q->ne[0], ne01, Q->ne[2], Q->ne[3], Q->nb[1], Q->nb[2], Q->nb[3], K->ne[0],
+        K->ne[1], K->ne[2], K->ne[3], nb11, nb12, nb13, nb21, nb22, nb23, mask ? mask->ne[1] : 0,
+        mask ? mask->ne[2] : 0, mask ? mask->ne[3] : 0, mask ? mask->nb[1] : 0, mask ? mask->nb[2] : 0,
+        mask ? mask->nb[3] : 0);
+    SYCL_CHECK(0);
+
+    if (stream_k) {
+        if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles.
+            const dpct::dim3 block_dim_combine(DV, 1, 1);
+            const dpct::dim3 blocks_num_combine = { blocks_num.x, ncols1, ncols2 };
+
+            main_stream->submit([&](sycl::handler & cgh) {
+                auto KQV_data_ct0         = (float *) KQV->data;
+                auto dst_tmp_meta_ptr_ct1 = dst_tmp_meta.ptr;
+                auto Q_ne_ct2             = Q->ne[1];
+                auto Q_ne_ct3             = Q->ne[2];
+                auto Q_ne_ct4             = Q->ne[3];
+                auto K_ne_ct5             = K->ne[1];
+                auto K_ne_ct6             = K->ne[2];
+
+                cgh.parallel_for(sycl::nd_range<3>(blocks_num_combine * block_dim_combine, block_dim_combine),
+                                 [=](sycl::nd_item<3> item_ct1) {
+                                     GGML_UNUSED(item_ct1);
+                                     flash_attn_stream_k_fixup<DV, ncols1, ncols2>(KQV_data_ct0, dst_tmp_meta_ptr_ct1,
+                                                                                   Q_ne_ct2, Q_ne_ct3, Q_ne_ct4,
+                                                                                   K_ne_ct5, K_ne_ct6, nbatch_fa);
+                                 });
+            });
+        }
+    } else if (parallel_blocks > 1) {
+        const dpct::dim3 block_dim_combine(DV, 1, 1);
+        const dpct::dim3 blocks_num_combine(Q->ne[1], Q->ne[2], Q->ne[3]);
+        const size_t     nbytes_shared_combine = parallel_blocks * sizeof(sycl::float2);
+        main_stream->submit([&](sycl::handler & cgh) {
+            sycl::local_accessor<uint8_t, 1> dpct_local_acc_ct1(sycl::range<1>(nbytes_shared_combine), cgh);
+
+            auto dst_tmp_ptr_ct0      = dst_tmp.ptr;
+            auto dst_tmp_meta_ptr_ct1 = dst_tmp_meta.ptr;
+            auto KQV_data_ct2         = (float *) KQV->data;
+
+            cgh.parallel_for(sycl::nd_range<3>(blocks_num_combine * block_dim_combine, block_dim_combine),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 GGML_UNUSED(item_ct1);
+                                 flash_attn_combine_results<DV>(
+                                     dst_tmp_ptr_ct0, dst_tmp_meta_ptr_ct1, KQV_data_ct2, parallel_blocks,
+                                     dpct_local_acc_ct1.get_multi_ptr<sycl::access::decorated::no>().get());
+                             });
+        });
+    }
+    SYCL_CHECK(0);
+}
diff --git a/ggml/src/ggml-sycl/fattn-tile.cpp b/ggml/src/ggml-sycl/fattn-tile.cpp
new file mode 100644
index 00000000000..9d4f019cf51
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn-tile.cpp
@@ -0,0 +1,55 @@
+#include <sycl/sycl.hpp>
+#include <sycl/ext/oneapi/work_group_static.hpp>
+#include "dpct/helper.hpp"
+#include "common.hpp"
+#include "fattn-common.hpp"
+#include "fattn-tile.hpp"
+#include <cmath>
+#include <float.h>
+namespace syclex = sycl::ext::oneapi::experimental;
+
+void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * K = dst->src[1];
+    const ggml_tensor * V = dst->src[2];
+    switch (K->ne[0]) {
+        case  40: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case< 40,  40>(ctx, dst);
+        } break;
+        case  64: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case< 64,  64>(ctx, dst);
+        } break;
+        case  72: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case< 72,  72>(ctx, dst);
+        } break;
+        case  80: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case< 80,  80>(ctx, dst);
+        } break;
+        case  96: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case< 96,  96>(ctx, dst);
+        } break;
+        case 112: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case<112, 112>(ctx, dst);
+        } break;
+        case 128: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case<128, 128>(ctx, dst);
+        } break;
+        case 256: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case<256, 256>(ctx, dst);
+        } break;
+        case 576: {
+            GGML_ASSERT(V->ne[0] == 512);
+            ggml_sycl_flash_attn_ext_tile_case<576, 512>(ctx, dst);
+        } break;
+        default: {
+            GGML_ABORT("Unsupported head size");
+        } break;
+    }
+}
diff --git a/ggml/src/ggml-sycl/fattn-tile.hpp b/ggml/src/ggml-sycl/fattn-tile.hpp
new file mode 100644
index 00000000000..29fd0f8c9ec
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn-tile.hpp
@@ -0,0 +1,1338 @@
+#include <sycl/sycl.hpp>
+#include <sycl/ext/oneapi/work_group_static.hpp>
+#include "dpct/helper.hpp"
+#include "common.hpp"
+#include "fattn-common.hpp"
+
+#include <cmath>
+#include <float.h>
+
+namespace syclex = sycl::ext::oneapi::experimental;
+
+#define GGML_SYCL_FATTN_TILE_CONFIG_CASE(DKQ_, DV_, ncols_, nthreads, occupancy, nbatch_fa, nbatch_K) \
+    if (DKQ == (DKQ_) && DV == (DV_) && ncols == (ncols_)) {                                          \
+        static_assert((nthreads)          <= 512, "bad nthreads");                                    \
+        static_assert((occupancy)         <=   8, "bad occupancy");                                   \
+        static_assert((nbatch_fa)         <= 256, "bad nbatch_fa");                                   \
+        static_assert((nbatch_K)          <= 256, "bad nbatch_K");                                    \
+        return ((nthreads) << 0) | ((occupancy) << 10) | ((nbatch_fa) << 14) | ((nbatch_K) << 23);    \
+    }                                                                                                 \
+
+static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp16(const int DKQ, const int DV, const int ncols) {
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  64,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 256, 2,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  64,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  64,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  64,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  64,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  64,  72)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  64,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  64,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  64,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  64,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  64,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  64,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  64,  48)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  64,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  64,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  64,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  64,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  64,  56)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2,  64, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2,  64, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
+
+    return 0;
+}
+
+static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, const int DV, const int ncols) {
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2, 128, 3,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4, 128, 3,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 3,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 128, 3,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 256, 2,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2, 128, 3,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 3,  32, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 128, 3,  64, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 128, 3,  32, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2, 128, 3,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 128, 3,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 256, 2,  32, 256)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  32,  64)
+
+    return 0;
+}
+
+static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd(const int DKQ, const int DV, const int ncols) {
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 64, 256, 2,  32,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 3,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4, 128, 3,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 2,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 256, 2, 128,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 64, 256, 2,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 64, 256, 2,  32,  72)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 64, 256, 2,  32,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 64, 256, 2,  32,  48)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2,  32,  56)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2, 256, 2, 128,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 2,  64, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 256, 2,  64, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2,  64, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 2,  64,  32)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2, 256, 2, 128,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 256, 2,  64, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 256, 2,  64, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32, 128)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 512, 1, 128,  64)
+
+    return 0;
+}
+
+static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd_rdna(const int DKQ, const int DV, const int ncols) {
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 64, 256, 2,  32,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 8,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4,  64, 8,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 5, 128,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 128, 5, 128,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 128, 4,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 64, 128, 5,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 64, 256, 2,  32,  72)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 64, 256, 2,  32,  40)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 64, 256, 2,  32,  48)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2,  32,  56)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2,  64, 8,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 8,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 128, 8,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 3, 128, 128)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 3, 128,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 3,  64,  64)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2,  64, 8,  32,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 128, 6,  32, 256)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 128, 6,  32, 256)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5,  32, 256)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3,  64, 128)
+
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 4,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2, 128,  64)
+
+    return 0;
+}
+
+static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols, const int cc) {
+    if(fast_fp16_available(cc))
+        return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols);
+    else
+        return ggml_sycl_fattn_tile_get_config_fp32(DKQ, DV, ncols);
+}
+
+static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols) {
+#ifdef SYCL_FAST_FP16
+    return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols);
+#else
+    return ggml_sycl_fattn_tile_get_config_fp32(DKQ, DV, ncols);
+#endif // SYCL_FAST_FP16
+}
+
+static int ggml_sycl_fattn_tile_get_nthreads(const int DKQ, const int DV, const int ncols, const int cc) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 0) & ((1 << 10) - 1);
+}
+
+static constexpr int ggml_sycl_fattn_tile_get_nthreads(const int DKQ, const int DV, const int ncols) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 0) & ((1 << 10) - 1);
+}
+
+static int ggml_sycl_fattn_tile_get_occupancy(const int DKQ, const int DV, const int ncols, const int cc) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 10) & ((1 << 4) - 1);
+}
+
+static constexpr int ggml_sycl_fattn_tile_get_occupancy(const int DKQ, const int DV, const int ncols) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 10) & ((1 << 4) - 1);
+}
+
+static int ggml_sycl_fattn_tile_get_nbatch_fa(const int DKQ, const int DV, const int ncols, const int cc) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 14) & ((1 << 9) - 1);
+}
+
+static constexpr int ggml_sycl_fattn_tile_get_nbatch_fa(const int DKQ, const int DV, const int ncols) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 14) & ((1 << 9) - 1);
+}
+
+static int ggml_sycl_fattn_tile_get_nbatch_K(const int DKQ, const int DV, const int ncols, const int cc) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 23) & ((1 << 9) - 1);
+}
+
+static constexpr int ggml_sycl_fattn_tile_get_nbatch_K(const int DKQ, const int DV, const int ncols) {
+    return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 23) & ((1 << 9) - 1);
+}
+
+template <int warp_size, int nwarps, int I, int J, int J_padding, bool oob_check>
+static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const __restrict__ KV,
+                                                      sycl::half2 * const __restrict__ tile_KV,
+                                                      const int stride_KV,
+                                                      const int i_sup) {
+    constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    auto load = [&] (const int n) {
+        auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+        const int stride_j = warp_size >> n;
+
+        if (stride_j == 0) {
+            return;
+        }
+
+        const int j0_start = stride_j == warp_size ? 0 : ((J/2)/cpy_ne) - ((J/2)/cpy_ne) % (2*stride_j);
+        const int j0_stop  =                             ((J/2)/cpy_ne) - ((J/2)/cpy_ne) % (1*stride_j);
+        const int stride_i = warp_size / stride_j;
+
+        if (j0_start == j0_stop) {
+            return;
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < I; i0 += nwarps*stride_i) {
+            const int i = i0 + item_ct1.get_local_id(1) * stride_i +
+                          (stride_j == warp_size ? 0 : item_ct1.get_local_id(2) / stride_j);
+
+            if (i0 + nwarps*stride_i <= I || i < I) {
+#pragma unroll
+                for (int j0 = j0_start; j0 < j0_stop; j0 += stride_j) {
+                    const int j = j0 * cpy_ne + (stride_j == warp_size ? item_ct1.get_local_id(2) :
+                                                                         item_ct1.get_local_id(2) % stride_j) *
+                                                    cpy_ne;
+
+                    const __dpct_align__(16) sycl::half2 zero[cpy_ne] = {
+                        { 0.0f, 0.0f }
+                    };
+                    ggml_sycl_memcpy_1<cpy_nb>(
+                        tile_KV + i*(J/2 + J_padding) + j,
+                        !oob_check || i < i_sup ? KV + i*stride_KV + j : zero);
+                }
+            }
+        }
+    };
+    // 1: max 64*16=512 bytes, 512 half
+    // 2: max 32*16=512 bytes, 256 half
+    // 3: max 16*16=256 bytes, 128 half
+    // 4: max  8*16=128 bytes,  64 half
+    // 5: max  4*16= 64 bytes,  32 half
+    // 6: max  2*16= 32 bytes,  16 half
+    // 7: max  1*16= 16 bytes,   8 half
+    static_assert(J % 8 == 0, "bad J");
+    static_assert((J/2) % cpy_ne == 0, "bad J");
+    ggml_sycl_unroll<7>{}(load);
+}
+
+template <int warp_size, int nwarps, int I, int J, int J_padding, bool oob_check>
+static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const __restrict__ KV,
+                                                      float * const __restrict__ tile_KV,
+                                                      const int stride_KV,
+                                                      const int i_sup) {
+    constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    auto load = [&] (const int n) {
+        auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+        const int stride_j = warp_size >> n;
+
+        if (stride_j == 0) {
+            return;
+        }
+
+        const int j0_start = stride_j == warp_size ? 0 : (J/cpy_ne) - (J/cpy_ne) % (2*stride_j);
+        const int j0_stop  =                             (J/cpy_ne) - (J/cpy_ne) % (1*stride_j);
+        const int stride_i = warp_size / stride_j;
+
+        if (j0_start == j0_stop) {
+            return;
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < I; i0 += nwarps*stride_i) {
+            const int i = i0 + item_ct1.get_local_id(1) * stride_i +
+                          (stride_j == warp_size ? 0 : item_ct1.get_local_id(2) / stride_j);
+
+            if (i0 + nwarps*stride_i <= I || i < I) {
+#pragma unroll
+                for (int j0 = j0_start; j0 < j0_stop; j0 += stride_j) {
+                    const int j = j0 * (cpy_ne / 2) + (stride_j == warp_size ? item_ct1.get_local_id(2) :
+                                                                               item_ct1.get_local_id(2) % stride_j) *
+                                                          (cpy_ne / 2);
+
+                    const sycl::half2 zero[cpy_ne / 2] = {
+                        { 0.0f, 0.0f }
+                    };
+                    __dpct_align__(16) sycl::half2 tmp_h2[cpy_ne / 2];
+                    ggml_sycl_memcpy_1<sizeof(tmp_h2)>(
+                        tmp_h2, !oob_check || i < i_sup ? KV + i*stride_KV + j : zero);
+
+                    __dpct_align__(16) sycl::float2 tmp_f2[cpy_ne / 2];
+#pragma unroll
+                    for (int l = 0; l < cpy_ne/2; ++l) {
+                        tmp_f2[l] = tmp_h2[l].template convert<float, sycl::rounding_mode::automatic>();
+                    }
+                    ggml_sycl_memcpy_1<sizeof(tmp_f2)>(tile_KV + i*(J + J_padding) + 2*j, tmp_f2);
+                }
+            }
+        }
+    };
+    // 1: max 32*16=512 bytes, 128 float
+    // 2: max 16*16=256 bytes,  64 float
+    // 3: max  8*16=128 bytes,  32 float
+    // 4: max  4*16= 64 bytes,  16 float
+    // 5: max  2*16= 32 bytes,   8 float
+    static_assert(J % 8 == 0, "bad J");
+    static_assert(J % cpy_ne == 0, "bad J");
+    ggml_sycl_unroll<5>{}(load);
+}
+
+// Function that performs a single iteration in for the KQ matrix multiplication:
+template <int  warp_size,
+          int  nwarps,
+          int  ncols1,
+          int  ncols2,
+          int  DKQ,
+          int  nbatch_fa,
+          int  nbatch_K,
+          bool use_logit_softcap,
+          bool oob_check,
+          typename T_vec_dot>
+static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp,
+                                                    const sycl::half2 * const __restrict__ K_h2,
+                                                    T_vec_dot * const KV_tmp,
+                                                    const int         stride_K2,
+                                                    const int         k_VKQ_0,
+                                                    const int         k_VKQ_sup,
+                                                    const int         k_KQ_0,
+                                                    float *           KQ_acc) {
+    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    constexpr int cpy_nb   = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    constexpr int ncols = ncols1*ncols2;
+    constexpr int cpw   = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp
+    constexpr int np    = nwarps > ncols ? nwarps/ncols : 1; // number of parallel warps per Q column
+
+    flash_attn_tile_load_tile<warp_size, nwarps, nbatch_fa, nbatch_K, cpy_ne, oob_check>
+        (K_h2 + int64_t(k_VKQ_0)*stride_K2 + k_KQ_0/2, KV_tmp, stride_K2, k_VKQ_sup);
+    item_ct1.barrier();
+
+#ifdef SYCL_FAST_FP16
+    static_assert((nbatch_K/2) % cpy_ne == 0, "bad nbatch_K");
+#pragma unroll
+    for (int k_KQ_1 = 0; k_KQ_1 < nbatch_K/2; k_KQ_1 += cpy_ne) {
+        __dpct_align__(16) sycl::half2 K_k[nbatch_fa / (np * warp_size)][cpy_ne];
+        __dpct_align__(16) sycl::half2 Q_k[cpw][cpy_ne];
+#else
+    static_assert(nbatch_K % cpy_ne == 0, "bad nbatch_K");
+#pragma unroll
+    for (int k_KQ_1 = 0; k_KQ_1 < nbatch_K; k_KQ_1 += cpy_ne) {
+        __dpct_align__(16) float K_k[nbatch_fa/(np*warp_size)][cpy_ne];
+        __dpct_align__(16) float Q_k[cpw][cpy_ne];
+#endif // SYCL_FAST_FP16
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) {
+            const int i_KQ = i_KQ_0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2);
+
+#ifdef SYCL_FAST_FP16
+            ggml_sycl_memcpy_1<cpy_nb>(&K_k[i_KQ_0/(np*warp_size)], &KV_tmp[i_KQ*(nbatch_K/2 + cpy_ne) + k_KQ_1]);
+#else
+            ggml_sycl_memcpy_1<cpy_nb>(&K_k[i_KQ_0/(np*warp_size)], &KV_tmp[i_KQ*(nbatch_K   + cpy_ne) + k_KQ_1]);
+#endif // SYCL_FAST_FP16
+        }
+#pragma unroll
+        for (int jc0 = 0; jc0 < cpw; ++jc0) {
+            const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw;
+
+#ifdef SYCL_FAST_FP16
+            ggml_sycl_memcpy_1<cpy_nb>(&Q_k[jc0], &Q_tmp[jc*(DKQ/2) + k_KQ_0/2 + k_KQ_1]);
+#else
+            ggml_sycl_memcpy_1<cpy_nb>(&Q_k[jc0], &Q_tmp[jc* DKQ    + k_KQ_0   + k_KQ_1]);
+#endif // SYCL_FAST_FP16
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) {
+#pragma unroll
+            for (int jc0 = 0; jc0 < cpw; ++jc0) {
+#pragma unroll
+                for (int k = 0; k < cpy_ne; ++k) {
+                    ggml_sycl_mad(KQ_acc[i_KQ_0/(np*warp_size)*cpw + jc0], K_k[i_KQ_0/(np*warp_size)][k], Q_k[jc0][k]);
+                }
+            }
+        }
+    }
+
+    if (k_KQ_0 + nbatch_K < DKQ) {
+        item_ct1.barrier();  // Sync not needed on last iteration.
+    }
+}
+
+// Function that performs a single iteration of the main loop over up to nbatch_fa tokens.
+template <int  warp_size,
+          int  nwarps,
+          int  ncols1,
+          int  ncols2,
+          int  DKQ,
+          int  DV,
+          int  nbatch_fa,
+          int  nbatch_K,
+          bool use_logit_softcap,
+          bool oob_check,
+          typename T_vec_dot,
+          typename T_KQ,
+          typename T_acc>
+/*
+The total declared local variable size in device function flash_attn_tile_iter exceeds 128 bytes and may cause high register pressure. Consult with your hardware vendor to find the total register size available and adjust the code, or use smaller sub-group size to avoid high register pressure.
+*/
+static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
+                                                 const sycl::half2 * const __restrict__ K_h2,
+                                                 const sycl::half2 * const __restrict__ V_h2,
+                                                 const sycl::half * const __restrict__ mask,
+                                                 const sycl::uint3 ne01,
+                                                 const float       logit_softcap,
+                                                 const float       slope,
+                                                 T_KQ * const      KQ,
+                                                 T_vec_dot * const KV_tmp,
+                                                 const int         stride_K2,
+                                                 const int         stride_V2,
+                                                 const int         stride_mask,
+                                                 float * const     KQ_max,
+                                                 float * const     KQ_sum,
+                                                 T_acc * const     VKQ,
+                                                 const int         k_VKQ_0,
+                                                 const int         k_VKQ_max,
+                                                 const int         col_Q_0,
+                                                 float *           KQ_max_new_shared) {
+    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    constexpr int cpy_nb   = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    constexpr int ncols = ncols1*ncols2;
+    constexpr int cpw   = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp
+    constexpr int np    = nwarps > ncols ? nwarps/ncols : 1; // number of parallel warps per Q column
+
+    constexpr int DVp = (DV + 2*warp_size - 1) & ~(2*warp_size - 1); // DV padded to multiple of 2*warp_size.
+
+#ifdef SYCL_FAST_FP16
+    constexpr int KQ_cs = cpw < 2*cpy_ne ? cpw : 2*cpy_ne;
+#else
+    constexpr int KQ_cs = cpw < 1*cpy_ne ? cpw : 1*cpy_ne;
+#endif // SYCL_FAST_FP16
+    static_assert(cpw % KQ_cs == 0, "bad KQ_cs");
+    const int k_VKQ_sup = k_VKQ_max - k_VKQ_0; // k supremum, only smaller k values have valid KV data
+
+    float KQ_max_new[cpw];
+#pragma unroll
+    for (int jc0 = 0; jc0 < cpw; ++jc0) {
+        KQ_max_new[jc0] = KQ_max[jc0];
+    }
+
+    float KQ_acc[nbatch_fa/(np*warp_size) * cpw] = {0.0f}; // Accumulators for KQ matrix multiplication.
+
+    // KQ = K @ Q matrix multiplication:
+    constexpr int nbatch_K_last = DKQ % nbatch_K;
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < DKQ - nbatch_K_last; k_KQ_0 += nbatch_K) {
+        flash_attn_tile_iter_KQ<warp_size, nwarps, ncols1, ncols2, DKQ, nbatch_fa, nbatch_K, use_logit_softcap, oob_check>(
+            Q_tmp, K_h2, KV_tmp, stride_K2, k_VKQ_0, k_VKQ_sup, k_KQ_0, KQ_acc);
+    }
+    if (nbatch_K_last > 0) {
+        constexpr int k_KQ_0 = DKQ - nbatch_K_last;
+        flash_attn_tile_iter_KQ<warp_size, nwarps, ncols1, ncols2, DKQ, nbatch_fa, nbatch_K_last, use_logit_softcap, oob_check>(
+            Q_tmp, K_h2, KV_tmp, stride_K2, k_VKQ_0, k_VKQ_sup, k_KQ_0, KQ_acc);
+    }
+
+    // Apply logit softcap + mask, update KQ_max:
+#pragma unroll
+    for (int jc0 = 0; jc0 < cpw; ++jc0) {
+        const int j = fastmodulo(col_Q_0 + (jc0 + (item_ct1.get_local_id(1) / np) * cpw) / ncols2, ne01);
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) {
+            const int i_KQ = i_KQ_0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2);
+
+#if defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16)
+            // Without the v_dot2_f32_f16 instruction there is a higher risk of numerical overflow in the KQ calculation.
+            // Therefore, scale down Q values and apply the inverse scale the FP32 KQ values afterwards again.
+            KQ_acc[i_KQ_0/(np*warp_size)*cpw + jc0] *= 4.0f;
+#endif // defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16)
+
+            if (use_logit_softcap) {
+                KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] =
+                    logit_softcap * sycl::tanh((float) KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0]);
+            }
+
+            if (!oob_check || i_KQ < k_VKQ_sup) {
+                KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] +=
+                    (ncols2 > 1 || mask) ? slope * sycl::vec<sycl::half, 1>(mask[j * stride_mask + k_VKQ_0 + i_KQ])
+                                                       .convert<float, sycl::rounding_mode::automatic>()[0] :
+                                           0.0f;
+
+                KQ_max_new[jc0] =
+                    sycl::fmax((float) KQ_max_new[jc0],
+                               (float) (KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] + FATTN_KQ_MAX_OFFSET));
+            }
+        }
+
+        KQ_max_new[jc0] = warp_reduce_max<warp_size>(KQ_max_new[jc0]);
+    }
+
+    if constexpr (np == 1) {
+        item_ct1.barrier();
+    } else {
+        static_assert(cpw == 1, "bad cpw");
+
+        if (item_ct1.get_local_id(2) == 0) {
+            KQ_max_new_shared[item_ct1.get_local_id(1)] = KQ_max_new[0];
+        }
+        item_ct1.barrier();
+        KQ_max_new[0] = KQ_max_new_shared[(item_ct1.get_local_id(1) & ~(np - 1)) + item_ct1.get_local_id(2) % np];
+        KQ_max_new[0] = warp_reduce_max<np>(KQ_max_new[0]);
+    }
+
+    // Calculate KQ softmax, write to shared KQ buffer, re-scale VKQ accumulators:
+#pragma unroll
+    for (int jc0 = 0; jc0 < cpw; jc0 += KQ_cs) {
+#ifdef SYCL_FAST_FP16
+        __dpct_align__(16) sycl::half tmp[nbatch_fa / (np * warp_size)][KQ_cs];
+#else
+        __dpct_align__(16) float tmp[nbatch_fa/(np*warp_size)][KQ_cs];
+#endif // SYCL_FAST_FP16
+
+#pragma unroll
+        for (int jc1 = 0; jc1 < KQ_cs; ++jc1) {
+            const int jc = jc0 + jc1;
+
+            const float KQ_max_scale = sycl::native::exp((float) (KQ_max[jc] - KQ_max_new[jc]));
+            KQ_max[jc] = KQ_max_new[jc];
+
+            float KQ_sum_add = 0.0f;
+#pragma unroll
+            for (int i0 = 0; i0 < nbatch_fa; i0 += np*warp_size) {
+                const float val =
+                    !oob_check || i0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2) <
+                                      static_cast<uint32_t>(k_VKQ_sup) ?
+                        sycl::native::exp((float) (KQ_acc[(i0 / (np * warp_size)) * cpw + jc] - KQ_max[jc])) :
+                        0.0f;
+                KQ_sum_add += val;
+                tmp[i0/(np*warp_size)][jc1] = val;
+            }
+            KQ_sum[jc] = KQ_sum[jc]*KQ_max_scale + KQ_sum_add;
+
+#ifdef SYCL_FAST_FP16
+            const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale);
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size) {
+                VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale_h2.x();
+                VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale_h2.y();
+            }
+#else
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size) {
+                VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale;
+                VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale;
+            }
+#endif // SYCL_FAST_FP16
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < nbatch_fa; i0 += np*warp_size) {
+            const int i = i0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2);
+
+            ggml_sycl_memcpy_1<sizeof(tmp[0])>(
+                KQ + (jc0 / KQ_cs + (item_ct1.get_local_id(1) / np) * (cpw / KQ_cs)) * (nbatch_fa * KQ_cs) + i * KQ_cs,
+                tmp[i0 / (np * warp_size)]);
+        }
+    }
+
+    // VKQ = V @ KQ matrix multiplication:
+    static_assert(DV <= DKQ, "bad DV");
+    static_assert(DV % nbatch_K == 0 || (nbatch_K % 3 == 0 && DV % (nbatch_K*2/3) == 0), "bad nbatch_K");
+    constexpr int nbatch_V = (DV % nbatch_K == 0 ? nbatch_K : nbatch_K*2/3) * nbatch_fa / DV; // Number of V columns that fit in SRAM for K.
+    static_assert(nbatch_fa % nbatch_V == 0, "bad nbatch_V");
+    static_assert(nbatch_V % np == 0, "bad nbatch_V");
+#pragma unroll
+    for (int k0 = 0; k0 < nbatch_fa; k0 += nbatch_V) {
+        flash_attn_tile_load_tile<warp_size, nwarps, nbatch_V, DV, 0, oob_check>
+            (V_h2 + int64_t(k_VKQ_0 + k0)*stride_V2, KV_tmp, stride_V2, k_VKQ_sup - k0);
+        item_ct1.barrier();
+
+#ifdef SYCL_FAST_FP16
+#pragma unroll
+        for (int k1 = 0; k1 < nbatch_V; k1 += np) {
+            __dpct_align__(16) sycl::half2 V_k[(DVp / 2) / warp_size];
+            __dpct_align__(16) sycl::half2 KQ_k[cpw];
+
+            constexpr int cpy_ne_D = cpy_ne/2 < (DVp/2)/warp_size ? cpy_ne/2 : (DVp/2)/warp_size;
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) {
+                ggml_sycl_memcpy_1<cpy_ne_D * 4>(&V_k[i0 / warp_size],
+                                                 &KV_tmp[(k1 + item_ct1.get_local_id(1) % np) * (DV / 2) + i0 +
+                                                         item_ct1.get_local_id(2) * cpy_ne_D]);
+            }
+#pragma unroll
+            for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; jc_VKQ_0 += KQ_cs) {
+                const int jc_KQ = jc_VKQ_0 / KQ_cs + (item_ct1.get_local_id(1) / np) * (cpw / KQ_cs);
+
+                __dpct_align__(16) sycl::half tmp[KQ_cs];
+                ggml_sycl_memcpy_1<KQ_cs * sizeof(sycl::half)>(
+                    &tmp, KQ + jc_KQ * (nbatch_fa * KQ_cs) + (k0 + k1 + item_ct1.get_local_id(1) % np) * KQ_cs);
+#pragma unroll
+                for (int jc_VKQ_1 = 0; jc_VKQ_1 < KQ_cs; ++jc_VKQ_1) {
+                    KQ_k[jc_VKQ_0 + jc_VKQ_1] = sycl::half2(tmp[jc_VKQ_1]);
+                }
+            }
+
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size) {
+#pragma unroll
+                for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; ++jc_VKQ_0) {
+                    VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].x() +=
+                        V_k[i0/warp_size].x()*KQ_k[jc_VKQ_0].x();
+                    VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].y() +=
+                        V_k[i0/warp_size].y()*KQ_k[jc_VKQ_0].y();
+                }
+            }
+        }
+#else
+#pragma unroll
+        for (int k1 = 0; k1 < nbatch_V; k1 += np) {
+            __dpct_align__(16) sycl::float2 V_k[(DVp/2)/warp_size];
+            __dpct_align__(16) float  KQ_k[cpw];
+
+            constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size;
+#pragma unroll
+            for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) {
+                ggml_sycl_memcpy_1<cpy_ne_D*4>(&V_k[i0/(2*warp_size)], &KV_tmp[(k1 + item_ct1.get_local_id(1) % np)*DV + i0 + item_ct1.get_local_id(2)*cpy_ne_D]);
+            }
+#pragma unroll
+            for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; jc_VKQ_0 += KQ_cs) {
+                const int jc_KQ = jc_VKQ_0/KQ_cs + (item_ct1.get_local_id(1) / np)*(cpw/KQ_cs);
+
+                ggml_sycl_memcpy_1<KQ_cs*sizeof(float)>(
+                    &KQ_k[jc_VKQ_0], KQ + jc_KQ*(nbatch_fa*KQ_cs) + (k0 + k1 + item_ct1.get_local_id(1) % np)*KQ_cs);
+            }
+
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size) {
+#pragma unroll
+                for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; ++jc_VKQ_0) {
+                    VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].x() += V_k[i0/warp_size].x()*KQ_k[jc_VKQ_0];
+                    VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].y() += V_k[i0/warp_size].y()*KQ_k[jc_VKQ_0];
+                }
+            }
+        }
+#endif // SYCL_FAST_FP16
+        item_ct1.barrier();
+    }
+}
+
+template <int DKQ, int DV, int ncols1, int ncols2, bool use_logit_softcap, int warp_size>  // D == head size
+/*
+The total declared local variable size in device function flash_attn_tile exceeds 128 bytes and may cause high register pressure. Consult with your hardware vendor to find the total register size available and adjust the code, or use smaller sub-group size to avoid high register pressure.
+*/
+static void flash_attn_tile(const char *  Q,
+                            const char *  K,
+                            const char *  V,
+                            const char *  mask,
+                            const char *  sinks,
+                            const int *  KV_max,
+                            float *  dst,
+                            sycl::float2 *  dst_meta,
+                            const float          scale,
+                            const float          max_bias,
+                            const float          m0,
+                            const float          m1,
+                            const uint32_t       n_head_log2,
+                            const float          logit_softcap,
+                            const int32_t        ne00,
+                            const sycl::uint3    ne01,
+                            const int32_t        ne02,
+                            const int32_t        ne03,
+                            const int32_t        nb01,
+                            const int32_t        nb02,
+                            const int32_t        nb03,
+                            const int32_t        ne10,
+                            const int32_t        ne11,
+                            const int32_t        ne12,
+                            const int32_t        ne13,
+                            const int32_t        nb11,
+                            const int32_t        nb12,
+                            const int64_t        nb13,
+                            const int32_t        nb21,
+                            const int32_t        nb22,
+                            const int64_t        nb23,
+                            const int32_t        ne31,
+                            const int32_t        ne32,
+                            const int32_t        ne33,
+                            const int32_t        nb31,
+                            const int32_t        nb32,
+                            const int64_t        nb33) {
+#ifdef SYCL_FLASH_ATTN
+    // Skip unused kernel variants for faster compilation:
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    if ((use_logit_softcap && !(DV == 128 || DV == 256))) {
+        GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale,
+            max_bias, m0, m1, n_head_log2, logit_softcap,
+            ne00, ne01, ne02, ne03,
+                  nb01, nb02, nb03,
+            ne10, ne11, ne12, ne13,
+                  nb11, nb12, nb13,
+                  nb21, nb22, nb23,
+                  ne31, ne32, ne33,
+                  nb31, nb32, nb33);
+        return;
+    }
+
+    static_assert(ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols1*ncols2) != 0, "kernel config not defined");
+
+    constexpr int ncols     = ncols1*ncols2;
+
+    constexpr int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, ncols1*ncols2) / warp_size;
+    constexpr int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, ncols1*ncols2);
+    constexpr int nbatch_K  = ggml_sycl_fattn_tile_get_nbatch_K (DKQ, DV, ncols1*ncols2);
+
+    // In this kernel Q, K, V are matrices while i, j, k are matrix indices.
+
+    const int col_Q_0 = item_ct1.get_group(2) * ncols1;  // Index of the first Q column for this SYCL block to work on.
+
+    const int           sequence  = item_ct1.get_group(0) / (ne02 / ncols2);
+    const int           head0     = item_ct1.get_group(0) * ncols2 - sequence * ne02;  // == item_ct1.get_group(0) % (ne02/ncols2)
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    const float * Q_f  = (const float *) (Q + nb03*sequence + nb02* head0);
+    const sycl::half2 * K_h2      = (const sycl::half2 *) (K + nb13 * sequence + nb12 * (head0 / gqa_ratio));
+    const sycl::half2 * V_h2 =
+        (const sycl::half2 *) (V + nb23 * sequence + nb22 * (head0 / gqa_ratio));  // K and V have same shape
+
+    const sycl::half * maskh = mask ? (const sycl::half *) (mask + nb33 * (sequence % ne33)) : nullptr;
+
+    const int stride_K2   = nb11 / sizeof(sycl::half2);
+    const int stride_V2   = nb21 / sizeof(sycl::half2);
+    const int stride_mask = nb31 / sizeof(sycl::half);
+
+    const float slope = ncols2 == 1 ? get_alibi_slope(max_bias, head0, n_head_log2, m0, m1) : 1.0f;
+
+    constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp.
+    constexpr int np  = nwarps > ncols ? nwarps/ncols : 1; // Number of parallel warps per Q column.
+
+    static_assert(cpw == 1 || np == 1, "bad cpw / np");
+    static_assert(nbatch_fa % (np*warp_size) == 0, "nbatch_fa % (np*warp_size) != 0");
+
+    constexpr int DKQp = (DKQ + 2*warp_size - 1) & ~(2*warp_size - 1); // DKQ padded to multiple of 2*warp_size.
+    constexpr int DVp  = (DV  + 2*warp_size - 1) & ~(2*warp_size - 1); // DV  padded to multiple of 2*warp_size.
+
+    // Q_tmp == SRAM buffer to hold Q data for the entire lifetime of the kernel.
+    // KV_tmp == SRAM buffer to hold fragments of K/V data while iterating over ne11.
+    //     KV_tmp is padded to avoid memory conflicts for K (cpy_ne) and OOB accesses for V (DVp-DV).
+    // KQ == SRAM buffer to hold KQ fragments between KQ and VKQ matrix multiplications.
+    // VKQ == Accumulators in registers for the final VKQ result.
+
+
+#ifdef SYCL_FAST_FP16
+    constexpr size_t lsm_size1 = ncols * DKQ/2 ;
+    constexpr size_t lsm_size2 = nbatch_fa * (nbatch_K/2 + cpy_ne) + DVp-DV ;
+    constexpr size_t lsm_size3 = ncols * nbatch_fa;
+    constexpr size_t lsm_size4 = nwarps;
+
+    constexpr size_t local_share_mem_size = lsm_size1 * sizeof(sycl::half2) +
+                                            lsm_size2 * sizeof(sycl::half2) +
+                                            lsm_size3 * sizeof(sycl::half) +
+                                            lsm_size4 * sizeof(float);
+
+    syclex::work_group_static<char[local_share_mem_size]> lsm;
+
+    sycl::half2 *Q_tmp = (sycl::half2 *)&lsm;
+    sycl::half2 *KV_tmp = (sycl::half2*)(Q_tmp +lsm_size1);
+    sycl::half *KQ = (sycl::half *)(KV_tmp+lsm_size2);
+    float *KQ_max_new_shared = (float *)(KQ+lsm_size3);
+
+    __dpct_align__(16) sycl::half2 VKQ[cpw * ((DVp / 2) / warp_size)] = {
+        { 0.0f, 0.0f }
+    };
+#else
+    constexpr size_t lsm_size1 = ncols * DKQ ;
+    constexpr size_t lsm_size2 = nbatch_fa * (nbatch_K + cpy_ne) + DVp-DV;
+    constexpr size_t lsm_size3 = ncols * nbatch_fa;
+    constexpr size_t lsm_size4 = nwarps;
+
+    constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2 +lsm_size3 + lsm_size4) * sizeof(float);
+
+    syclex::work_group_static<char[local_share_mem_size]> lsm;
+
+    float *Q_tmp = (float *)&lsm;
+    float *KV_tmp = Q_tmp +lsm_size1;
+    float *KQ = KV_tmp+lsm_size2;
+    float *KQ_max_new_shared = KQ+lsm_size3;
+
+    __dpct_align__(16) sycl::float2 VKQ[cpw * ((DVp/2)/warp_size)] = {{0.0f, 0.0f}};
+
+
+#endif // SYCL_FAST_FP16
+
+    float KQ_max[cpw] = {};
+
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        KQ_max[j0/nwarps] = -FLT_MAX/2.0f;
+    }
+    float KQ_sum[cpw] = {0.0f};
+
+    // Load Q data, convert to FP16 if fast:
+#pragma unroll
+    for (int jc0 = 0; jc0 < cpw; ++jc0) {
+        const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw;
+
+        const int j = jc / ncols2;
+        const int c = jc % ncols2;
+
+        constexpr int cpy_ne_D = cpy_ne < DKQp/warp_size ? cpy_ne : DKQp/warp_size;
+
+#pragma unroll
+        for (int i0 = 0; i0 < DKQp; i0 += np*warp_size*cpy_ne_D) {
+            if (i0 + np * warp_size * cpy_ne_D <= DKQ ||
+                i0 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D) + item_ct1.get_local_id(2) * cpy_ne_D <
+                    DKQ) {
+                __dpct_align__(16) float tmp_f[cpy_ne_D] = { 0.0f };
+                ggml_sycl_memcpy_1<sizeof(tmp_f)>(
+                    tmp_f, &Q_f[c * (nb02 / sizeof(float)) + fastmodulo(col_Q_0 + j, ne01) * (nb01 / sizeof(float)) +
+                                i0 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D) +
+                                item_ct1.get_local_id(2) * cpy_ne_D]);
+
+#pragma unroll
+                for (int i1 = 0; i1 < cpy_ne_D; ++i1) {
+                    tmp_f[i1] *= scale;
+                }
+
+#ifdef SYCL_FAST_FP16
+                __dpct_align__(16) sycl::half2 tmp_h2[cpy_ne_D / 2];
+#pragma unroll
+                for (int i1 = 0; i1 < cpy_ne_D; i1 += 2) {
+                    tmp_h2[i1/2] = make_half2(tmp_f[i1 + 0], tmp_f[i1 + 1]);
+#if defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16)
+                    // Without the v_dot2_f32_f16 instruction there is a higher risk of numerical overflow in the KQ calculation.
+                    // Therefore, scale down Q values and apply the inverse scale the FP32 KQ values afterwards again.
+                    tmp_h2[i1 / 2] *= sycl::half2(0.25f, 0.25f);
+#endif // defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16)
+                }
+                ggml_sycl_memcpy_1<sizeof(tmp_h2)>(
+                    &Q_tmp[jc * (DKQ / 2) + i0 / 2 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D / 2) +
+                           item_ct1.get_local_id(2) * (cpy_ne_D / 2)],
+                    tmp_h2);
+#else
+                ggml_sycl_memcpy_1<sizeof(tmp_f)>(
+                    &Q_tmp[jc* DKQ    + i0   + (item_ct1.get_local_id(1) % np)*(warp_size*cpy_ne_D)   + item_ct1.get_local_id(2)* cpy_ne_D],
+                    tmp_f);
+#endif // SYCL_FAST_FP16
+            }
+        }
+    }
+
+    item_ct1.barrier();
+
+    // Main loop over KV cache:
+    const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11;
+    if (ncols2 == 1) {
+        // Branch with out-of-bounds checks.
+        int k_VKQ_0 = item_ct1.get_group(1) * nbatch_fa;
+        while (k_VKQ_0 < k_VKQ_max - nbatch_fa) {
+            constexpr bool oob_check = false;
+            flash_attn_tile_iter<warp_size, nwarps, ncols1, ncols2, DKQ, DV, nbatch_fa, nbatch_K, use_logit_softcap,
+                                 oob_check>(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2,
+                                            stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0,
+                                            KQ_max_new_shared);
+            k_VKQ_0 += item_ct1.get_group_range(1) * nbatch_fa;
+        }
+        if (k_VKQ_0 < k_VKQ_max) {
+            constexpr bool oob_check = true;
+            flash_attn_tile_iter<warp_size, nwarps, ncols1, ncols2, DKQ, DV, nbatch_fa, nbatch_K, use_logit_softcap,
+                                 oob_check>(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2,
+                                            stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0,
+                                            KQ_max_new_shared);
+        }
+    } else {
+        // Branch without out-of-bounds checks.
+        for (int k_VKQ_0 = item_ct1.get_group(1) * nbatch_fa; k_VKQ_0 < k_VKQ_max;
+             k_VKQ_0 += item_ct1.get_group_range(1) * nbatch_fa) {
+
+            constexpr bool oob_check = false;
+            flash_attn_tile_iter<warp_size, nwarps, ncols1, ncols2, DKQ, DV, nbatch_fa, nbatch_K, use_logit_softcap,
+                                 oob_check>(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2,
+                                            stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0,
+                                            KQ_max_new_shared);
+        }
+    }
+
+#pragma unroll
+    for (int jc0 = 0; jc0 < cpw; ++jc0) {
+        KQ_sum[jc0] = warp_reduce_sum<warp_size>(KQ_sum[jc0]);
+    }
+
+    if constexpr (np > 1) {
+        static_assert(cpw == 1, "bad cpw");
+        static_assert(nbatch_fa*nbatch_K >= nwarps*DVp, "KV_tmp too small");
+
+#ifdef SYCL_FAST_FP16
+        sycl::half2 * VKQ_combine = (sycl::half2 *) KV_tmp;
+#else
+        float * VKQ_combine    = (float *) KV_tmp;
+#endif // SYCL_FAST_FP16
+
+        float * KQ_sum_combine = (float *) Q_tmp;
+
+        if (item_ct1.get_local_id(1) % np != 0) {
+
+#ifdef SYCL_FAST_FP16
+            constexpr int cpy_ne_D = cpy_ne < (DVp/2)/warp_size ? cpy_ne : (DVp/2)/warp_size;
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) {
+                ggml_sycl_memcpy_1<cpy_ne_D * 4>(
+                    &VKQ_combine[item_ct1.get_local_id(1) * (DVp / 2) + i0 + item_ct1.get_local_id(2) * cpy_ne_D],
+                    &VKQ[i0 / warp_size]);
+            }
+#else
+
+            constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size;
+
+#pragma unroll
+            for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) {
+                ggml_sycl_memcpy_1<cpy_ne_D*4>(
+                    &VKQ_combine[item_ct1.get_local_id(1)*DVp + i0 + item_ct1.get_local_id(2)*cpy_ne_D], ((const float *) VKQ) + i0/warp_size);
+            }
+#endif // SYCL_FAST_FP16
+
+            if (item_ct1.get_local_id(2) == 0) {
+                KQ_sum_combine[item_ct1.get_local_id(1)] = KQ_sum[0];
+            }
+            return;
+        }
+
+        item_ct1.barrier();
+
+#pragma unroll
+        for (int ip = 1; ip < np; ++ip) {
+#ifdef SYCL_FAST_FP16
+            constexpr int cpy_ne_D = cpy_ne < (DVp/2)/warp_size ? cpy_ne : (DVp/2)/warp_size;
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) {
+                __dpct_align__(16) sycl::half2 tmp[cpy_ne_D];
+                ggml_sycl_memcpy_1<cpy_ne_D * 4>(tmp, &VKQ_combine[(item_ct1.get_local_id(1) + ip) * (DVp / 2) + i0 +
+                                                                   item_ct1.get_local_id(2) * cpy_ne_D]);
+#pragma unroll
+                for (int i1 = 0; i1 < cpy_ne_D; ++i1) {
+                    VKQ[i0/warp_size + i1] += tmp[i1];
+                }
+            }
+#else
+            constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size;
+#pragma unroll
+            for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) {
+                __dpct_align__(16) float tmp[cpy_ne_D];
+                ggml_sycl_memcpy_1<cpy_ne_D*4>(tmp, &VKQ_combine[(item_ct1.get_local_id(1) + ip)*DVp + i0 + item_ct1.get_local_id(2)*cpy_ne_D]);
+#pragma unroll
+                for (int i1 = 0; i1 < cpy_ne_D; ++i1) {
+                    ((float *)VKQ)[i0/warp_size + i1] += tmp[i1];
+                }
+            }
+#endif // SYCL_FAST_FP16
+
+            KQ_sum[0] += KQ_sum_combine[item_ct1.get_local_id(1) + ip];
+        }
+    }
+
+    // Attention sink: adjust KQ max and sum only for the first of all parallel blocks:
+    if (sinks && item_ct1.get_group(1) == 0) {
+#pragma unroll
+        for (int jc0 = 0; jc0 < cpw; ++jc0) {
+            const int   jc   = jc0 + (item_ct1.get_local_id(1) / np) * cpw;
+            const float sink = ((const float *) sinks)[head0 + jc % ncols2];
+
+            float       KQ_max_new_j = sycl::fmax((float) KQ_max[jc0], sink);
+            const float KQ_max_scale = sycl::native::exp((float) (KQ_max[jc0] - KQ_max_new_j));
+            KQ_max[jc0] = KQ_max_new_j;
+
+            const float val = sycl::native::exp((float) (sink - KQ_max[jc0]));
+            KQ_sum[jc0] = KQ_sum[jc0]*KQ_max_scale + val;
+
+#ifdef SYCL_FAST_FP16
+            const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale);
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size) {
+                VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size] *= KQ_max_scale_h2;
+            }
+#else
+#pragma unroll
+            for (int i0 = 0; i0 < DVp/2; i0 += warp_size) {
+                VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale;
+                VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale;
+            }
+#endif // SYCL_FAST_FP16
+        }
+    }
+
+    // Write back results:
+#pragma unroll
+    for (int jc0 = 0; jc0 < cpw; ++jc0) {
+        const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw;
+
+        const int j = jc / ncols2;
+        const int c = jc % ncols2;
+
+        if (ncols1 > 1 && col_Q_0 + j >= int(ne01.z())) {
+            return;
+        }
+
+        const float scale = item_ct1.get_group_range(1) == 1 ? 1.0f / KQ_sum[jc0] : 1.0f;
+
+        const int j_dst_unrolled =
+            ((sequence * int(ne01.z()) + col_Q_0 + j) * ne02 + head0 + c) * item_ct1.get_group_range(1) +
+            item_ct1.get_group(1);
+
+#ifdef SYCL_FAST_FP16
+        constexpr int cpy_ne_D = cpy_ne/2 < (DVp/2)/warp_size ? cpy_ne/2 : (DVp/2)/warp_size;
+#pragma unroll
+        for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) {
+            __dpct_align__(16) sycl::float2 tmp[cpy_ne_D];
+#pragma unroll
+            for (int i1 = 0; i1 < cpy_ne_D; ++i1) {
+                tmp[i1] = VKQ[jc0 * ((DVp / 2) / warp_size) + i0 / warp_size + i1]
+                              .template convert<float, sycl::rounding_mode::automatic>();
+                tmp[i1].x() *= scale;
+                tmp[i1].y() *= scale;
+            }
+            if (i0 + warp_size * cpy_ne_D <= DV / 2 || i0 + item_ct1.get_local_id(2) * cpy_ne_D < DV / 2) {
+                ggml_sycl_memcpy_1<sizeof(tmp)>(
+                    &dst[j_dst_unrolled * DV + 2 * i0 + item_ct1.get_local_id(2) * (2 * cpy_ne_D)], tmp);
+            }
+        }
+#else
+        constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size;
+#pragma unroll
+        for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) {
+            if (i0 + warp_size*cpy_ne_D <= DV || i0 + item_ct1.get_local_id(2)*cpy_ne_D < DV) {
+#pragma unroll
+                for (int i1 = 0; i1 < cpy_ne_D/2; ++i1) {
+                    VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size) + i1].x() *= scale;
+                    VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size) + i1].y() *= scale;
+                }
+                ggml_sycl_memcpy_1<cpy_ne_D*4>(
+                    &dst[j_dst_unrolled*DV + i0 + item_ct1.get_local_id(2)*cpy_ne_D],
+                    &VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size)]);
+            }
+        }
+#endif // SYCL_FAST_FP16
+
+        if (item_ct1.get_group_range(1) != 1 && item_ct1.get_local_id(2) == 0) {
+            dst_meta[j_dst_unrolled] = make_float2(KQ_max[jc0], KQ_sum[jc0]);
+        }
+    }
+#else
+    GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale,
+        max_bias, m0, m1, n_head_log2, logit_softcap,
+        ne00, ne01, ne02, ne03,
+              nb01, nb02, nb03,
+        ne10, ne11, ne12, ne13,
+              nb11, nb12, nb13,
+              nb21, nb22, nb23,
+              ne31, ne32, ne33,
+              nb31, nb32, nb33);
+#endif // SYCL_FLASH_ATTN
+}
+
+template <int DKQ, int DV, int ncols2, bool use_logit_softcap>
+static void launch_fattn_tile_switch_ncols1(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q = dst->src[0];
+
+    const int id        = ggml_sycl_get_device();
+    const int cc        = ggml_sycl_info().devices[id].cc;
+    const int warp_size = WARP_32_SIZE; //can't support WARP_16_SIZE
+
+    constexpr size_t nbytes_shared = 0;
+
+    if constexpr (DV <= 256) {
+        if (Q->ne[1] > 16/ncols2) {
+            constexpr int cols_per_block = 32;
+            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+            launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+            return;
+        }
+    }
+
+    if (Q->ne[1] > 8/ncols2) {
+        constexpr int cols_per_block = 16;
+        const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+        const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+        launch_fattn<DV, cols_per_block/ncols2, ncols2,
+            flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+            (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+        return;
+    }
+
+    if constexpr (ncols2 <= 8) {
+        if (Q->ne[1] > 4/ncols2) {
+            constexpr int cols_per_block = 8;
+            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+            launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+            return;
+        }
+    }
+
+    if constexpr (ncols2 <= 4) {
+        if (Q->ne[1] > 2/ncols2) {
+            constexpr int cols_per_block = 4;
+            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+            launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+            return;
+        }
+    }
+
+    if constexpr (ncols2 <= 2) {
+        constexpr int cols_per_block = 2;
+        const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+        const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+        launch_fattn<DV, cols_per_block/ncols2, ncols2,
+            flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+            (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+        return;
+    }
+
+    GGML_ABORT("fatal error");
+}
+
+template <int DKQ, int DV, bool use_logit_softcap>
+static void launch_fattn_tile_switch_ncols2(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * KQV  = dst;
+    const ggml_tensor * Q    = dst->src[0];
+    const ggml_tensor * K    = dst->src[1];
+    const ggml_tensor * mask = dst->src[3];
+
+    float max_bias = 0.0f;
+    memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float));
+
+    GGML_ASSERT(Q->ne[2] % K->ne[2] == 0);
+    const int gqa_ratio = Q->ne[2] / K->ne[2];
+
+    // On NVIDIA (Pascal and older) the GQA optimizations seem to be detrimental in some cases.
+    // However, for DKQ == 576, DV == 512 only the kernel variant with GQA optimizations is implemented.
+    //const bool nvidia = GGML_SYCL_CC_IS_NVIDIA(ggml_sycl_info().devices[ggml_sycl_get_device()].cc);
+    const int gqa_limit = gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX;
+    const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0;
+
+    if constexpr (DV == 512) {
+        if (use_gqa_opt && gqa_ratio % 16 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 16, use_logit_softcap>(ctx, dst);
+            return;
+        }
+        if (use_gqa_opt && gqa_ratio % 4 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 4, use_logit_softcap>(ctx, dst);
+            return;
+        }
+    }
+
+    if constexpr (DV <= 256) {
+        if (use_gqa_opt && gqa_ratio % 8 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 8, use_logit_softcap>(ctx, dst);
+            return;
+        }
+
+        if (use_gqa_opt && gqa_ratio % 4 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 4, use_logit_softcap>(ctx, dst);
+            return;
+        }
+
+        if (use_gqa_opt && gqa_ratio % 2 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 2, use_logit_softcap>(ctx, dst);
+            return;
+        }
+
+        launch_fattn_tile_switch_ncols1<DKQ, DV, 1, use_logit_softcap>(ctx, dst);
+        return;
+    }
+    GGML_ABORT("fatal error");
+}
+
+template <int DKQ, int DV>
+void ggml_sycl_flash_attn_ext_tile_case(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * KQV = dst;
+
+    float logit_softcap;
+    memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float));
+
+    if (logit_softcap == 0.0f) {
+        constexpr bool use_logit_softcap = false;
+        launch_fattn_tile_switch_ncols2<DKQ, DV, use_logit_softcap>(ctx, dst);
+    } else {
+        constexpr bool use_logit_softcap = true;
+        launch_fattn_tile_switch_ncols2<DKQ, DV, use_logit_softcap>(ctx, dst);
+    }
+}
+
+void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
+
+#define DECL_FATTN_TILE_CASE(DKQ, DV)                             \
+    template void ggml_sycl_flash_attn_ext_tile_case              \
+    <DKQ, DV>(ggml_backend_sycl_context & ctx, ggml_tensor * dst) \
+
+extern DECL_FATTN_TILE_CASE( 40,  40);
+extern DECL_FATTN_TILE_CASE( 64,  64);
+extern DECL_FATTN_TILE_CASE( 72,  72);
+extern DECL_FATTN_TILE_CASE( 80,  80);
+extern DECL_FATTN_TILE_CASE( 96,  96);
+extern DECL_FATTN_TILE_CASE(112, 112);
+extern DECL_FATTN_TILE_CASE(128, 128);
+extern DECL_FATTN_TILE_CASE(256, 256);
+extern DECL_FATTN_TILE_CASE(576, 512);
+
diff --git a/ggml/src/ggml-sycl/fattn-vec.hpp b/ggml/src/ggml-sycl/fattn-vec.hpp
new file mode 100644
index 00000000000..48c389052f4
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn-vec.hpp
@@ -0,0 +1,667 @@
+#ifndef GGML_SYCL_FATTN_VEC_HPP
+#define GGML_SYCL_FATTN_VEC_HPP
+
+#include <sycl/sycl.hpp>
+#include <sycl/ext/oneapi/work_group_static.hpp>
+#include <iostream>
+#include <iomanip>
+
+#include "dpct/helper.hpp"
+#include "common.hpp"
+#include "ggml.h"
+#include "fattn-common.hpp"
+#include <cmath>
+#include <float.h>
+
+namespace syclex = sycl::ext::oneapi::experimental;
+
+static int ggml_sycl_fattn_vec_get_nthreads_host(const int cc) {
+    return 128;
+    GGML_UNUSED(cc);
+}
+
+static constexpr int ggml_sycl_fattn_vec_get_nthreads_device() {
+    return 128;
+}
+
+// Currenlty llvm with the amdgcn target dose not support unrolling loops
+// that contain a break that can not be resolved at compile time.
+#ifdef __clang__
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Wpass-failed"
+#endif // __clang__
+
+template <int D,
+          int ncols,
+          int type_K,
+          int type_V,
+          bool use_logit_softcap,
+          int warp_size>  // D == head size
+static void flash_attn_ext_vec(const char* __restrict__ Q,
+                        const char* __restrict__ K,
+                        const char* __restrict__ V,
+                        const char* __restrict__ mask,
+                        const char* __restrict__ sinks,
+                        const int* __restrict__ KV_max,
+                        float* __restrict__ dst,
+                        sycl::float2* __restrict__ dst_meta,
+                        const float scale,
+                        const float max_bias,
+                        const float m0,
+                        const float m1,
+                        const uint32_t n_head_log2,
+                        const float logit_softcap,
+                        const int32_t ne00,
+                        const sycl::uint3 ne01,
+                        const int32_t ne02,
+                        const int32_t ne03,
+                        const int32_t nb01,
+                        const int32_t nb02,
+                        const int32_t nb03,
+                        const int32_t ne10,
+                        const int32_t ne11,
+                        const int32_t ne12,
+                        const int32_t ne13,
+                        const int32_t nb11,
+                        const int32_t nb12,
+                        const int64_t nb13,
+                        const int32_t nb21,
+                        const int32_t nb22,
+                        const int64_t nb23,
+                        const int32_t ne31,
+                        const int32_t ne32,
+                        const int32_t ne33,
+                        const int32_t nb31,
+                        const int32_t nb32,
+                        const int64_t nb33) {
+#ifdef SYCL_FLASH_ATTN
+    // Skip unused kernel variants for faster compilation:
+
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    if (use_logit_softcap && !(D == 128 || D == 256)) {
+        GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale,
+            max_bias, m0, m1, n_head_log2, logit_softcap,
+            ne00, ne01, ne02, ne03,
+                  nb01, nb02, nb03,
+            ne10, ne11, ne12, ne13,
+                  nb11, nb12, nb13,
+                  nb21, nb22, nb23,
+                  ne31, ne32, ne33,
+                  nb31, nb32, nb33);
+        return;
+    }
+
+    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
+
+    constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
+    constexpr int cpy_ne = cpy_nb / 4;
+
+    constexpr int nthreads_KQ_q = (D/4 < warp_size ? D/4 : warp_size);
+    constexpr int nthreads_V_q  = (D/4 < warp_size ? D/4 : warp_size);
+
+    constexpr int nthreads    = ggml_sycl_fattn_vec_get_nthreads_device();
+    constexpr int nthreads_KQ = type_K == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_KQ_q;
+    constexpr int nthreads_V  = type_V == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_V_q;
+
+    static_assert(warp_size % nthreads_KQ == 0, "bad nthreads_K");
+    static_assert(warp_size % nthreads_V  == 0, "bad nthreads_V");
+
+    constexpr int V_rows_per_thread = type_V == GGML_TYPE_F16 ? 2*cpy_ne : 4;
+    constexpr int V_cols_per_iter   = warp_size / nthreads_V;
+
+    constexpr vec_dot_KQ_t vec_dot_KQ = get_vec_dot_KQ<type_K, D, nthreads_KQ, warp_size>();
+    constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16;
+#ifdef GGML_SYCL_F16
+    constexpr dequantize_V_t dequantize_V = get_dequantize_V<type_V, sycl::half, V_rows_per_thread>();
+#else
+    constexpr dequantize_V_t dequantize_V = get_dequantize_V<type_V, float, V_rows_per_thread>();
+#endif // GGML_SYCL_F16
+
+    const int ic0 = item_ct1.get_group(2) * ncols;  // Index of the Q/QKV column to work on.
+
+    const int sequence  = item_ct1.get_group(0) / ne02;
+    const int head      = item_ct1.get_group(0) - sequence * ne02;
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    Q += nb03*sequence + nb02* head              + nb01*ic0;
+    K += nb13*sequence + nb12*(head / gqa_ratio);
+    V += nb23*sequence + nb22*(head / gqa_ratio);
+
+    const sycl::half * maskh = (const sycl::half *) (mask + nb33 * (sequence % ne33) + nb31 * ic0);
+
+    const float slope = get_alibi_slope(max_bias, head, n_head_log2, m0, m1);
+
+    static_assert(D % (2*warp_size) == 0, "D not divisible by 2*warp_size == 64.");
+    constexpr int nwarps = nthreads / warp_size;
+    const int     tid    = warp_size * item_ct1.get_local_id(1) + item_ct1.get_local_id(2);
+    __builtin_assume(tid < nthreads);
+
+    constexpr int ne_KQ      = ncols*D;
+    constexpr int ne_combine = nwarps*V_cols_per_iter*D;
+
+    constexpr size_t lsm_size1 = ncols * warp_size;
+    constexpr size_t lsm_size2 = ncols * warp_size;
+#ifdef GGML_SYCL_F16
+    sycl::half2 VKQ[ncols][(D / 2) / nthreads_V] = { { { 0.0f, 0.0f } } };
+    constexpr size_t lsm_size3 = (ne_KQ > ne_combine ? ne_KQ : ne_combine);
+    constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2)*sizeof(float) + lsm_size3*sizeof(sycl::half);
+
+    syclex::work_group_static<char[local_share_mem_size]> lsm;
+
+    float *KQ_max_shared = (float *)&lsm;
+    float *KQ_sum_shared = KQ_max_shared+lsm_size1;
+    sycl::half* KQ = (sycl::half*)(KQ_sum_shared + lsm_size2);
+
+
+#else
+    sycl::float2 VKQ[ncols][(D/2)/nthreads_V] = {{{0.0f, 0.0f}}};
+
+    constexpr size_t lsm_size3 = (ne_KQ > ne_combine ? ne_KQ : ne_combine);
+    constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2 + lsm_size3)*sizeof(float);
+
+
+    syclex::work_group_static<char[local_share_mem_size]> lsm;
+    float *KQ_max_shared = (float *)&lsm;
+    float *KQ_sum_shared = KQ_max_shared+lsm_size1;
+    float* KQ = KQ_sum_shared + lsm_size2;
+
+#endif // GGML_SYCL_F16
+
+    float KQ_max[ncols];
+    float KQ_sum[ncols];
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        KQ_max[j] = -FLT_MAX/2.0f;
+        KQ_sum[j] = 0.0f;
+    }
+
+    // Convert Q to float2 (f16 K) or q8_1 (quantized K) and store in registers:
+#ifdef GGML_SYCL_F16
+    sycl::half2 Q_reg[ncols][(D / 2) / nthreads_KQ] = {{{0.0f, 0.0f}}};  // Will be initialized completely.
+#else
+    sycl::float2 Q_reg[ncols][(D/2)/nthreads_KQ] = {{{0.0f, 0.0f}}}; // May be only partially initialized.
+#endif // GGML_SYCL_F16
+    int    Q_i32[ncols][1 > D/(sizeof(int)*nthreads_KQ) ? 1 : D/(sizeof(int)*nthreads_KQ)];
+    sycl::float2 Q_ds[ncols][1 > D / (sizeof(int) * nthreads_KQ) ? 1 : D / (sizeof(int) * nthreads_KQ)];
+    if constexpr (Q_q8_1) {
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + item_ct1.get_local_id(1);
+
+            if (j0 + nwarps > ncols && j >= ncols) {
+                break;
+            }
+
+            // Reuse KQ as temporary storage for converting Q to q8_1:
+            int    * tmp_q_i32 = (int    *) &KQ[j*D];
+            sycl::float2 * tmp_q_ds  = (sycl::float2 *) (tmp_q_i32 + D / sizeof(int));
+
+            // Set memory to zero if out of bounds:
+            if (ncols > 1 && ic0 + j >= int(ne01.z())) {
+#pragma unroll
+                for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += warp_size) {
+                    const int i = i0 + item_ct1.get_local_id(2);
+
+                    if (i0 + warp_size <= int(D/sizeof(int)) || i < int(D/sizeof(int))) {
+                        tmp_q_i32[i] = 0;
+                    }
+                }
+                if (item_ct1.get_local_id(2) < D/QK8_1) {
+                    tmp_q_ds[item_ct1.get_local_id(2)] = sycl::float2(0.0f, 0.0f);
+                }
+            } else {
+                const float * Q_f = (const float *) (Q + j*nb01);
+                constexpr int nthreads_quantize = D/sizeof(int) < warp_size ? D/sizeof(int) : warp_size;
+#pragma unroll
+                for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += nthreads_quantize) {
+                    quantize_q8_1_to_shared<sycl::float2, nthreads_quantize, warp_size>
+                        (Q_f + i0*sizeof(int), scale, tmp_q_i32 + i0, tmp_q_ds + i0/QI8_1);
+                }
+            }
+        }
+
+
+        item_ct1.barrier(sycl::access::fence_space::local_space);
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            int    * tmp_q_i32 = (int    *) &KQ[j*D];
+            sycl::float2 * tmp_q_ds  = (sycl::float2 *) (tmp_q_i32 + D / sizeof(int));
+
+#pragma unroll
+            for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += nthreads_KQ) {
+                const int i =
+                    i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_KQ);
+
+                Q_i32[j][i0/nthreads_KQ] = tmp_q_i32[i];
+                Q_ds[j][i0/nthreads_KQ]  = tmp_q_ds[i/QI8_1];
+            }
+        }
+
+        item_ct1.barrier(sycl::access::fence_space::local_space);
+
+    } else {
+#ifdef GGML_SYCL_F16
+        const sycl::half2 scale_h2 = sycl::half2(scale, scale);
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            const sycl::float2 * Q_j = (const sycl::float2 *) (Q + j * nb01);
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += nthreads_KQ*cpy_ne) {
+                const int i = i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) :
+                                                               item_ct1.get_local_id(2) % nthreads_KQ) *
+                                       cpy_ne;
+
+                sycl::float2 tmp[cpy_ne] = {
+                    { 0.0f, 0.0f }
+                };
+                if (ncols == 1 || ic0 + j < int(ne01.z())) {
+                    ggml_sycl_memcpy_1<cpy_nb>(tmp,            &Q_j[i]);
+                    ggml_sycl_memcpy_1<cpy_nb>(tmp + cpy_ne/2, &Q_j[i + cpy_ne/2]);
+                }
+#pragma unroll
+                for (int i1 = 0; i1 < cpy_ne; ++i1) {
+                    Q_reg[j][i0 / nthreads_KQ + i1] = sycl::half2(tmp[i1].x(), tmp[i1].y());
+                }
+            }
+#pragma unroll
+            for (int k = 0; k < (D/2)/nthreads_KQ; ++k) {
+                Q_reg[j][k] *= scale_h2;
+            }
+        }
+#else
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            const sycl::float2 * Q_j = (const sycl::float2 *) (Q + j*nb01);
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += nthreads_KQ*cpy_ne) {
+                const int i = i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_KQ)*cpy_ne;
+                if (ncols == 1 || ic0 + j < int(ne01.z())) {
+                    ggml_sycl_memcpy_1<cpy_nb>(&Q_reg[j][i0/nthreads_KQ],            &Q_j[i]);
+                    ggml_sycl_memcpy_1<cpy_nb>(&Q_reg[j][i0/nthreads_KQ + cpy_ne/2], &Q_j[i + cpy_ne/2]);
+                }
+            }
+#pragma unroll
+            for (int k = 0; k < (D/2)/nthreads_KQ; ++k) {
+                Q_reg[j][k].x() *= scale;
+                Q_reg[j][k].y() *= scale;
+            }
+        }
+#endif // GGML_SYCL_F16
+    }
+
+    const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11;
+    K += item_ct1.get_group(1) * nthreads * nb11;
+    V += item_ct1.get_group(1) * nthreads * nb21;
+    maskh += item_ct1.get_group(1) * nthreads;
+    for (int k_VKQ_0 = item_ct1.get_group(1) * nthreads; k_VKQ_0 < k_VKQ_max;
+         k_VKQ_0 += item_ct1.get_group_range(1) * nthreads,
+             // Increment pointers after each loop:
+         K += item_ct1.get_group_range(1) * nthreads * nb11, V += item_ct1.get_group_range(1) * nthreads * nb21,
+             maskh += item_ct1.get_group_range(1) * nthreads) {
+        // Calculate KQ tile and keep track of new maximum KQ values:
+        float KQ_reg[ncols]={}; // KQ in registers.
+        float KQ_max_new[ncols]={};
+
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            KQ_max_new[j] = KQ_max[j];
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < nthreads_KQ; ++i_KQ_0) {
+            const int i_KQ = item_ct1.get_local_id(1) * warp_size +
+                             (nthreads_KQ == warp_size ? 0 : (item_ct1.get_local_id(2) & ~(nthreads_KQ - 1))) + i_KQ_0;
+
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                float sum = vec_dot_KQ(K + i_KQ*nb11, Q_reg[j], Q_i32[j], Q_ds[j]);
+                sum = warp_reduce_sum<nthreads_KQ>(sum);
+
+                if (use_logit_softcap) {
+                    sum = logit_softcap * sycl::tanh(sum);
+                }
+                if (mask) {
+                    sum += slope * sycl::vec<sycl::half, 1>(maskh[j * ne11 + i_KQ])
+                                       .convert<float, sycl::rounding_mode::automatic>()[0];
+                }
+
+                KQ_max_new[j] = sycl::fmax((float) KQ_max_new[j], sum);
+
+                if (int(nthreads_KQ == warp_size ? item_ct1.get_local_id(2)
+                                                 : item_ct1.get_local_id(2) %
+                                                       nthreads_KQ) == i_KQ_0) {
+                  KQ_reg[j] = sum;
+                }
+            }
+        }
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+#pragma unroll
+            for (int offset = nthreads_KQ; offset < warp_size; offset <<= 1) {
+               KQ_max_new[j] = sycl::fmax(
+                  (float)KQ_max_new[j],
+                  (float)dpct::permute_sub_group_by_xor(
+                      sycl::ext::oneapi::this_work_item::get_sub_group(),
+                      KQ_max_new[j],
+                      offset,
+                      warp_size));
+            }
+            const float KQ_max_scale = sycl::native::exp((float) (KQ_max[j] - KQ_max_new[j]));
+            KQ_max[j] = KQ_max_new[j];
+
+            KQ_reg[j]            = sycl::native::exp((float) (KQ_reg[j] - KQ_max[j]));
+            KQ_sum[j] = KQ_sum[j]*KQ_max_scale + KQ_reg[j];
+            KQ[j*nthreads + tid] = KQ_reg[j];
+
+#ifdef GGML_SYCL_F16
+            const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale);
+#pragma unroll
+            for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) {
+                VKQ[j][i_VKQ_0/nthreads_V] *= KQ_max_scale_h2;
+            }
+#else
+#pragma unroll
+            for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) {
+                VKQ[j][i_VKQ_0/nthreads_V].x() *= KQ_max_scale;
+                VKQ[j][i_VKQ_0/nthreads_V].y() *= KQ_max_scale;
+            }
+#endif // GGML_SYCL_F16
+        }
+
+        sycl::group_barrier(sycl::ext::oneapi::this_work_item::get_sub_group());
+
+#pragma unroll
+        for (int k0 = 0; k0 < warp_size; k0 += V_cols_per_iter) {
+            const int k = item_ct1.get_local_id(1) * warp_size + k0 +
+                          (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V);
+
+#ifdef GGML_SYCL_F16
+            sycl::half2 KQ_k[ncols];
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                KQ_k[j] = sycl::half2(KQ[j * nthreads + k]);
+            }
+#pragma unroll
+            for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) {
+                sycl::half2 tmp[V_rows_per_thread / 2];
+                dequantize_V(V + k * nb21, tmp,
+                             2 * i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) :
+                                                                      item_ct1.get_local_id(2) % nthreads_V) *
+                                               V_rows_per_thread);
+#pragma unroll
+                for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) {
+#pragma unroll
+                    for (int j = 0; j < ncols; ++j) {
+                        VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1] += tmp[i_VKQ_1]*KQ_k[j];
+                    }
+                }
+            }
+#else
+            float KQ_k[ncols];
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                KQ_k[j] = KQ[j*nthreads + k];
+            }
+#pragma unroll
+            for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) {
+                sycl::float2 tmp[V_rows_per_thread/2];
+                dequantize_V(V + k*nb21, tmp,
+                    2*i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V)*V_rows_per_thread);
+#pragma unroll
+                for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) {
+#pragma unroll
+                    for (int j = 0; j < ncols; ++j) {
+                        VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1].x() += tmp[i_VKQ_1].x()*KQ_k[j];
+                        VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1].y() += tmp[i_VKQ_1].y()*KQ_k[j];
+                    }
+                }
+            }
+#endif // GGML_SYCL_F16
+        }
+    }
+
+    if (sinks && item_ct1.get_group(1) == 0) {
+        const float sink = ((const float *) sinks)[head];
+
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + item_ct1.get_local_id(1);
+
+            if (j0 + nwarps > ncols && j >= ncols) {
+                break;
+            }
+            const float kqmax_new_j  = sycl::fmax(sink, (float) KQ_max[j]);
+            const float KQ_max_scale = sycl::native::exp((float) (KQ_max[j] - kqmax_new_j));
+            KQ_max[j] = kqmax_new_j;
+
+            KQ_sum[j] = KQ_sum[j] * KQ_max_scale +
+                        (item_ct1.get_local_id(2) == 0 ? sycl::native::exp((float) (sink - KQ_max[j])) : 0.0f);
+#ifdef GGML_SYCL_F16
+            const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale);
+#pragma unroll
+            for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) {
+                VKQ[j][i_VKQ_0/nthreads_V] *= KQ_max_scale_h2;
+            }
+#else
+#pragma unroll
+            for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) {
+                VKQ[j][i_VKQ_0/nthreads_V].x() *= KQ_max_scale;
+                VKQ[j][i_VKQ_0/nthreads_V].y() *= KQ_max_scale;
+            }
+#endif // GGML_SYCL_F16
+        }
+    }
+
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        if (item_ct1.get_local_id(1) == 0) {
+            KQ_max_shared[j*warp_size+item_ct1.get_local_id(2)] = -FLT_MAX / 2.0f;
+            KQ_sum_shared[j*warp_size+item_ct1.get_local_id(2)] = 0.0f;
+        }
+    }
+
+    item_ct1.barrier(sycl::access::fence_space::local_space);
+
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        if (item_ct1.get_local_id(2) == 0) {
+            KQ_max_shared[j*warp_size+item_ct1.get_local_id(1)] = KQ_max[j];
+        }
+    }
+
+
+    item_ct1.barrier(sycl::access::fence_space::local_space);
+
+#pragma unroll
+    for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) {
+        if (ncols > 1 && ic0 + j_VKQ >= int(ne01.z())) {
+            break;
+        }
+
+        float kqmax_new         = KQ_max_shared[j_VKQ*warp_size+item_ct1.get_local_id(2)];
+        kqmax_new = warp_reduce_max<warp_size>(kqmax_new);
+        const float kqmax_scale = sycl::native::exp((float) (KQ_max[j_VKQ] - kqmax_new));
+        KQ_max[j_VKQ] = kqmax_new;
+
+#ifdef GGML_SYCL_F16
+        sycl::half2 * VKQ_tmp = (sycl::half2 *) KQ + item_ct1.get_local_id(1) * (V_cols_per_iter * D / 2) +
+                                (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V) * (D / 2);
+
+        const sycl::half2 kqmax_scale_h2 = sycl::half2(kqmax_scale, kqmax_scale);
+#pragma unroll
+        for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) {
+            VKQ[j_VKQ][i_VKQ_0/nthreads_V] *= kqmax_scale_h2;
+        }
+#pragma unroll
+        for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) {
+            const int i_VKQ =
+                i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V) *
+                              (V_rows_per_thread / 2);
+
+            ggml_sycl_memcpy_1<V_rows_per_thread * sizeof(sycl::half)>(VKQ_tmp + i_VKQ,
+                                                                       &VKQ[j_VKQ][i_VKQ_0 / nthreads_V]);
+        }
+#else
+        sycl::float2 * VKQ_tmp = (sycl::float2 *) KQ + item_ct1.get_local_id(1)*(V_cols_per_iter*D/2)
+            + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V)*(D/2);
+#pragma unroll
+        for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) {
+            VKQ[j_VKQ][i_VKQ_0/nthreads_V].x() *= kqmax_scale;
+            VKQ[j_VKQ][i_VKQ_0/nthreads_V].y() *= kqmax_scale;
+        }
+#pragma unroll
+        for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) {
+            const int i_VKQ = i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V)*(V_rows_per_thread/2);
+
+            ggml_sycl_memcpy_1<V_rows_per_thread/2*sizeof(float)>(VKQ_tmp + i_VKQ,                       &VKQ[j_VKQ][i_VKQ_0/nthreads_V]);
+            ggml_sycl_memcpy_1<V_rows_per_thread/2*sizeof(float)>(VKQ_tmp + i_VKQ + V_rows_per_thread/4, &VKQ[j_VKQ][i_VKQ_0/nthreads_V + V_rows_per_thread/4]);
+        }
+#endif // GGML_SYCL_F16
+
+        KQ_sum[j_VKQ] *= kqmax_scale;
+        KQ_sum[j_VKQ] = warp_reduce_sum<warp_size>(KQ_sum[j_VKQ]);
+        if (item_ct1.get_local_id(2) == 0) {
+            KQ_sum_shared[j_VKQ*warp_size+item_ct1.get_local_id(1)] = KQ_sum[j_VKQ];
+        }
+
+        item_ct1.barrier(sycl::access::fence_space::local_space);
+
+
+        if (nthreads <= D || tid < D) {
+            KQ_sum[j_VKQ] = KQ_sum_shared[j_VKQ*warp_size+item_ct1.get_local_id(2)];
+            KQ_sum[j_VKQ] = warp_reduce_sum<warp_size>(KQ_sum[j_VKQ]);
+
+#pragma unroll
+            for (int i0 = 0; i0 < D; i0 += nthreads) {
+                float dst_val = 0;
+#pragma unroll
+                for (int w = 0; w < nwarps; ++w) {
+#pragma unroll
+                    for (int v = 0; v < V_cols_per_iter; ++v) {
+                        dst_val += float(KQ[w*V_cols_per_iter*D + v*D + i0 + tid]);
+                    }
+                }
+                if (item_ct1.get_group_range(1) == 1) {
+                    dst_val /= KQ_sum[j_VKQ];
+                }
+                dst[(((sequence * int(ne01.z()) + ic0 + j_VKQ) * ne02 + head) * item_ct1.get_group_range(1) +
+                     item_ct1.get_group(1)) *
+                        D +
+                    i0 + tid] = dst_val;
+            }
+        }
+
+        if (j_VKQ < ncols-1) {
+            item_ct1.barrier(sycl::access::fence_space::local_space);
+        }
+
+    }
+
+    if (item_ct1.get_group_range(1) != 1 && tid < ncols && (ncols == 1 || ic0 + tid < int(ne01.z()))) {
+        dst_meta[((sequence * int(ne01.z()) + ic0 + tid) * ne02 + head) * item_ct1.get_group_range(1) +
+                 item_ct1.get_group(1)] = make_float2(KQ_max[tid], KQ_sum[tid]);
+    }
+#else
+    GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale,
+        max_bias, m0, m1, n_head_log2, logit_softcap,
+        ne00, ne01, ne02, ne03,
+              nb01, nb02, nb03,
+        ne10, ne11, ne12, ne13,
+              nb11, nb12, nb13,
+              nb21, nb22, nb23,
+              ne31, ne32, ne33,
+              nb31, nb32, nb33);
+
+#endif // SYCL_FLASH_ATTN
+}
+#ifdef __clang__
+#pragma clang diagnostic pop
+#endif // __clang__
+
+
+template <int D, int cols_per_block, int type_K, int type_V, bool use_logit_softcap>
+void ggml_sycl_flash_attn_ext_vec_case_impl(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+
+    const int warp_size = WARP_16_SIZE; //better performance than WARP_32_SIZE
+
+    const int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc;
+
+    const int nthreads = ggml_sycl_fattn_vec_get_nthreads_host(cc);
+    const int nwarps   = nthreads / warp_size;
+
+    const bool need_f16_K = type_K == GGML_TYPE_F16;
+    const bool need_f16_V = type_V == GGML_TYPE_F16;
+    constexpr size_t nbytes_shared = 0;
+
+    launch_fattn<D, cols_per_block, 1,
+                 flash_attn_ext_vec<D, cols_per_block, type_K, type_V,
+                                    use_logit_softcap, warp_size>, warp_size>(
+        ctx, dst, nwarps, nbytes_shared, D, need_f16_K, need_f16_V, false);
+}
+
+template <int D, int type_K, int type_V>
+void ggml_sycl_flash_attn_ext_vec_case(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * KQV = dst;
+    const ggml_tensor * Q   = dst->src[0];
+
+    float logit_softcap;
+    memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float));
+
+    if (Q->ne[1] == 1) {
+        constexpr int cols_per_block = 1;
+        if (logit_softcap == 0.0f) {
+            constexpr bool use_logit_softcap = false;
+            ggml_sycl_flash_attn_ext_vec_case_impl<D, cols_per_block, type_K, type_V, use_logit_softcap>(ctx, dst);
+        } else {
+            constexpr bool use_logit_softcap = true;
+            ggml_sycl_flash_attn_ext_vec_case_impl<D, cols_per_block, type_K, type_V, use_logit_softcap>(ctx, dst);
+        }
+        return;
+    }
+
+    constexpr int cols_per_block = 2;
+    if (logit_softcap == 0.0f) {
+        constexpr bool use_logit_softcap = false;
+        ggml_sycl_flash_attn_ext_vec_case_impl<D, cols_per_block, type_K, type_V, use_logit_softcap>(ctx, dst);
+    } else {
+        constexpr bool use_logit_softcap = true;
+        ggml_sycl_flash_attn_ext_vec_case_impl<D, cols_per_block, type_K, type_V, use_logit_softcap>(ctx, dst);
+    }
+}
+
+#define DECL_FATTN_VEC_CASE(D, type_K, type_V)                              \
+    template void ggml_sycl_flash_attn_ext_vec_case                         \
+    <D, type_K, type_V>(ggml_backend_sycl_context & ctx, ggml_tensor * dst) \
+
+#define EXTERN_DECL_FATTN_VEC_CASES(D, type_K)             \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_F16);  \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q4_0); \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q4_1); \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_0); \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_1); \
+    extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q8_0); \
+
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_F16)
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_0)
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_1)
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_0)
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_1)
+EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q8_0)
+
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_F16)
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_0)
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_1)
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_0)
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_1)
+EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q8_0)
+
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_F16)
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_0)
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_1)
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_0)
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_1)
+EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q8_0)
+
+#endif // GGML_SYCL_FATTN_VEC_HPP
diff --git a/ggml/src/ggml-sycl/fattn.cpp b/ggml/src/ggml-sycl/fattn.cpp
new file mode 100644
index 00000000000..c276ed89827
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn.cpp
@@ -0,0 +1,225 @@
+//
+// MIT license
+// Copyright (C) 2025 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+
+#include <sycl/sycl.hpp>
+#include "dpct/helper.hpp"
+#include "common.hpp"
+#include "fattn-common.hpp"
+#include "fattn-tile.hpp"
+#include "fattn-vec.hpp"
+#include "fattn.hpp"
+
+
+#define FATTN_VEC_CASE(D, type_K, type_V)                                                                        \
+    {                                                                                                            \
+        const bool type_K_okay = K->type == (type_K) || (K->type == GGML_TYPE_F32 && (type_K) == GGML_TYPE_F16); \
+        const bool type_V_okay = V->type == (type_V) || (V->type == GGML_TYPE_F32 && (type_V) == GGML_TYPE_F16); \
+        if (Q->ne[0] == (D) && type_K_okay && type_V_okay) {                                                     \
+            ggml_sycl_flash_attn_ext_vec_case<D, type_K, type_V>(ctx, dst);                                      \
+            return;                                                                                              \
+        }                                                                                                        \
+    }                                                                    \
+
+#define FATTN_VEC_CASES_ALL_D(type_K, type_V) \
+    FATTN_VEC_CASE( 64, type_K, type_V)       \
+    FATTN_VEC_CASE(128, type_K, type_V)       \
+    FATTN_VEC_CASE(256, type_K, type_V)       \
+
+static void ggml_sycl_flash_attn_ext_vec(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * Q = dst->src[0];
+    ggml_tensor * K = dst->src[1];
+    ggml_tensor * V = dst->src[2];
+
+#ifdef GGML_SYCL_FA_ALL_QUANTS
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_F16)
+
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_0)
+
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q4_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q4_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_1)
+
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q5_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q5_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_0)
+
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q5_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q5_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_1)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_1)
+
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q8_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+#else
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16,  GGML_TYPE_F16)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+#endif // GGML_SYCL_FA_ALL_QUANTS
+
+    GGML_ABORT("Not match KV type in vec");
+}
+
+// Best FlashAttention kernel for a specific GPU:
+enum best_fattn_kernel {
+    BEST_FATTN_KERNEL_NONE     =   0,
+    BEST_FATTN_KERNEL_VEC      = 100,
+    BEST_FATTN_KERNEL_TILE     = 200,
+};
+
+static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const ggml_tensor * dst) {
+    GGML_UNUSED(device);
+#ifndef SYCL_FLASH_ATTN
+    GGML_UNUSED(dst);
+    return BEST_FATTN_KERNEL_NONE;
+#endif// SYCL_FLASH_ATTN
+
+    if(!g_ggml_sycl_enable_flash_attention) return BEST_FATTN_KERNEL_NONE;
+
+    const ggml_tensor * KQV   = dst;
+    const ggml_tensor * Q     = dst->src[0];
+    const ggml_tensor * K     = dst->src[1];
+    const ggml_tensor * V     = dst->src[2];
+    const ggml_tensor * mask  = dst->src[3];
+
+    const int gqa_ratio = Q->ne[2] / K->ne[2];
+    GGML_ASSERT(Q->ne[2] % K->ne[2] == 0);
+
+    float max_bias = 0.0f;
+    memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float));
+
+    bool gqa_opt_applies = gqa_ratio >= 2 && mask && max_bias == 0.0f && K->ne[1] % FATTN_KQ_STRIDE == 0;
+    for (const ggml_tensor * t : {Q, K, V, mask}) {
+        if (t == nullptr || ggml_is_quantized(t->type)) {
+            continue;
+        }
+        for (size_t i = 1; i < GGML_MAX_DIMS; ++i) {
+            if (t->nb[i] % 16 != 0) {
+                gqa_opt_applies = false;
+                break;
+            }
+        }
+    }
+
+    switch (K->ne[0]) {
+        case  40:
+        case  64:
+        case  72:
+        case  80:
+        case  96:
+        case 128:
+        case 112:
+        case 256:
+            if (V->ne[0] != K->ne[0]) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            break;
+        case 576:
+            if (V->ne[0] != 512) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            if (!gqa_opt_applies) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            break;
+        default:
+            return BEST_FATTN_KERNEL_NONE;
+    }
+
+#ifndef GGML_SYCL_FA_ALL_QUANTS
+    if (K->type != V->type) {
+        return BEST_FATTN_KERNEL_NONE;
+    }
+#endif // GGML_SYCL_FA_ALL_QUANTS
+
+    switch (K->type) {
+        case GGML_TYPE_F32:
+        case GGML_TYPE_F16:
+            break;
+        case GGML_TYPE_Q4_1:
+        case GGML_TYPE_Q5_0:
+        case GGML_TYPE_Q5_1:
+#ifndef GGML_SYCL_FA_ALL_QUANTS
+            return BEST_FATTN_KERNEL_NONE;
+#endif // GGML_SYCL_FA_ALL_QUANTS
+        case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
+            break;
+        default:
+            return BEST_FATTN_KERNEL_NONE;
+    }
+
+    if (mask && mask->ne[2] != 1) {
+        return BEST_FATTN_KERNEL_NONE;
+    }
+
+    // For small batch sizes the vector kernel may be preferable over the kernels optimized for large batch sizes:
+    const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0;
+
+    // Todo: Use the XMX kernel if possible:
+
+    // If there are no tensor cores available, use the generic tile kernel:
+    if (can_use_vector_kernel) {
+        if (!ggml_is_quantized(K->type) && !ggml_is_quantized(V->type)) {
+            if (Q->ne[1] == 1) {
+                if (!gqa_opt_applies) {
+                    return BEST_FATTN_KERNEL_VEC;
+                }
+            }
+        } else {
+            if (Q->ne[1] <= 2) {
+                return BEST_FATTN_KERNEL_VEC;
+            }
+        }
+    }
+    return BEST_FATTN_KERNEL_TILE;
+}
+
+void ggml_sycl_flash_attn_ext(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    ggml_sycl_set_device(ctx.device);
+    switch (ggml_sycl_get_best_fattn_kernel(ggml_sycl_get_device(), dst)) {
+        case BEST_FATTN_KERNEL_NONE:
+            GGML_ABORT("Not support Flash-Attention");
+        case BEST_FATTN_KERNEL_TILE:
+            ggml_sycl_flash_attn_ext_tile(ctx, dst);
+            break;
+        case BEST_FATTN_KERNEL_VEC:
+            ggml_sycl_flash_attn_ext_vec(ctx, dst);
+            break;
+    }
+}
+
+bool ggml_sycl_flash_attn_ext_supported(int device, const ggml_tensor * dst) {
+    return ggml_sycl_get_best_fattn_kernel(device, dst) != BEST_FATTN_KERNEL_NONE;
+}
diff --git a/ggml/src/ggml-sycl/fattn.hpp b/ggml/src/ggml-sycl/fattn.hpp
new file mode 100644
index 00000000000..f2a8ffc97de
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn.hpp
@@ -0,0 +1,22 @@
+//
+// MIT license
+// Copyright (C) 2025 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_FATTN_HPP
+#define GGML_SYCL_FATTN_HPP
+
+#include "common.hpp"
+
+void ggml_sycl_flash_attn_ext(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
+
+bool ggml_sycl_flash_attn_ext_supported(int device, const ggml_tensor * dst);
+
+#endif // GGML_SYCL_FATTN_HPP
diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp
index 0614d7e8f3a..f887061b279 100644
--- a/ggml/src/ggml-sycl/ggml-sycl.cpp
+++ b/ggml/src/ggml-sycl/ggml-sycl.cpp
@@ -62,6 +62,8 @@ int g_ggml_sycl_disable_graph = 0;
 int g_ggml_sycl_disable_dnn = 0;
 int g_ggml_sycl_prioritize_dmmv = 0;
 int g_ggml_sycl_use_async_mem_op = 0;
+int g_ggml_sycl_enable_flash_attention = 1;
+
 
 static ggml_sycl_device_info ggml_sycl_init() {
     ggml_sycl_device_info info = {};
@@ -94,11 +96,12 @@ static ggml_sycl_device_info ggml_sycl_init() {
 
         info.devices[i].cc =
             100 * prop.get_major_version() + 10 * prop.get_minor_version();
-        info.devices[i].nsm = prop.get_max_compute_units();
+        info.devices[i].nsm = prop.get_max_compute_units() / 16; //16: Number of Xe Cores
         info.devices[i].opt_feature.reorder = device.ext_oneapi_architecture_is(syclex::arch_category::intel_gpu);
         info.devices[i].smpbo = prop.get_local_mem_size();
-
         info.max_work_group_sizes[i] = prop.get_max_work_group_size();
+        info.devices[i].max_wg_per_cu = info.max_work_group_sizes[i] / prop.get_max_compute_units();
+
     }
 
     for (int id = 0; id < info.device_count; ++id) {
@@ -211,7 +214,37 @@ static void ggml_check_sycl() try {
         g_ggml_sycl_disable_graph = get_sycl_env("GGML_SYCL_DISABLE_GRAPH", 1);
         g_ggml_sycl_disable_dnn = get_sycl_env("GGML_SYCL_DISABLE_DNN", 0);
         g_ggml_sycl_prioritize_dmmv = get_sycl_env("GGML_SYCL_PRIORITIZE_DMMV", 0);
+
+#ifdef SYCL_FLASH_ATTN
+        g_ggml_sycl_enable_flash_attention = get_sycl_env("GGML_SYCL_ENABLE_FLASH_ATTN", 1);
+#else
+        g_ggml_sycl_enable_flash_attention = 0;
+#endif
+
         GGML_SYCL_DEBUG("[SYCL] call ggml_check_sycl\n");
+
+        GGML_LOG_INFO("Build with Macros:\n");
+#if defined(GGML_SYCL_FORCE_MMQ)
+        GGML_LOG_INFO("  GGML_SYCL_FORCE_MMQ: yes\n");
+#else
+        GGML_LOG_INFO("  GGML_SYCL_FORCE_MMQ: no\n");
+#endif
+#if defined(GGML_SYCL_F16)
+        GGML_LOG_INFO("  GGML_SYCL_F16: yes\n");
+#else
+        GGML_LOG_INFO("  GGML_SYCL_F16: no\n");
+#endif
+#if defined(GGML_SYCL_GRAPH)
+        GGML_LOG_INFO("  GGML_SYCL_GRAPH: yes\n");
+#else
+        GGML_LOG_INFO("  GGML_SYCL_GRAPH: no\n");
+#endif
+#if defined(GGML_SYCL_DNNL)
+        GGML_LOG_INFO("  GGML_SYCL_DNNL: yes\n");
+#else
+        GGML_LOG_INFO("  GGML_SYCL_DNNL: no\n");
+#endif
+
         GGML_LOG_INFO("Running with Environment Variables:\n");
         GGML_LOG_INFO("  GGML_SYCL_DEBUG: %d\n", g_ggml_sycl_debug);
         GGML_LOG_INFO("  GGML_SYCL_DISABLE_OPT: %d\n", g_ggml_sycl_disable_optimize);
@@ -226,16 +259,12 @@ static void ggml_check_sycl() try {
         GGML_LOG_INFO("  GGML_SYCL_DISABLE_DNN: DNN disabled by compile flag\n");
 #endif
         GGML_LOG_INFO("  GGML_SYCL_PRIORITIZE_DMMV: %d\n", g_ggml_sycl_prioritize_dmmv);
-        GGML_LOG_INFO("Build with Macros:\n");
-#if defined(GGML_SYCL_FORCE_MMQ)
-        GGML_LOG_INFO("  GGML_SYCL_FORCE_MMQ: yes\n");
-#else
-        GGML_LOG_INFO("  GGML_SYCL_FORCE_MMQ: no\n");
-#endif
-#if defined(GGML_SYCL_F16)
-        GGML_LOG_INFO("  GGML_SYCL_F16: yes\n");
+
+#ifdef SYCL_FLASH_ATTN
+        GGML_LOG_INFO("  GGML_SYCL_ENABLE_FLASH_ATTN: %d\n", g_ggml_sycl_enable_flash_attention);
 #else
-        GGML_LOG_INFO("  GGML_SYCL_F16: no\n");
+        GGML_LOG_INFO("  GGML_SYCL_ENABLE_FLASH_ATTN: %d disabled by compile flag\n",
+            g_ggml_sycl_enable_flash_attention);
 #endif
 
 /* NOT REMOVE, keep it for next optimize for XMX.
@@ -3012,7 +3041,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons
 
         }
 #if GGML_SYCL_DNNL
-        // oneDNN handles strided data and does not need overhead of get_to_fp16_nc_sycl
+        // oneDNN handles strided data and does not need overhead of ggml_get_to_fp16_nc_sycl
         const int64_t ne_src1 = src1->nb[last_str] * src1->ne[last_dim] / type_size_src1;
         src1_f16_alloc.alloc(ne_src1);
         const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type, dst);
@@ -3021,7 +3050,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons
 # else
         const int64_t ne_src1 = ggml_nelements(src1);
         src1_f16_alloc.alloc(ne_src1);
-        const to_fp16_nc_sycl_t to_fp16_nc_sycl = get_to_fp16_nc_sycl(src1->type);
+        const to_fp16_nc_sycl_t to_fp16_nc_sycl = ggml_get_to_fp16_nc_sycl(src1->type);
         GGML_ASSERT(to_fp16_nc_sycl != nullptr);
         to_fp16_nc_sycl(src1_f16, src1_f16_alloc.get(), ne10, ne11, ne12, ne13, s11, s12, s13, queue);
 #endif
@@ -4116,6 +4145,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg
         case GGML_OP_ROPE:
             ggml_sycl_rope(ctx, dst);
             break;
+        case GGML_OP_ROPE_BACK:
+            ggml_sycl_rope_back(ctx, dst);
+            break;
         case GGML_OP_IM2COL:
             ggml_sycl_im2col(ctx, dst);
             break;
@@ -4158,6 +4190,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg
         case GGML_OP_ARANGE:
             ggml_sycl_arange(ctx, dst);
             break;
+        case GGML_OP_FLASH_ATTN_EXT:
+            ggml_sycl_flash_attn_ext(ctx, dst);
+            break;
         default:
             return false;
     }
@@ -4819,6 +4854,7 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
             return max_bias == 0.0f;
         }
         case GGML_OP_ROPE:
+        case GGML_OP_ROPE_BACK:
         case GGML_OP_IM2COL:
             return true;
         case GGML_OP_UPSCALE:
@@ -4840,8 +4876,9 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
                 k > 0 && k <= 32;
         }
         case GGML_OP_POOL_2D:
-        case GGML_OP_ACC:
             return true;
+        case GGML_OP_ACC:
+            return ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
         case GGML_OP_PAD:
             // TODO: add circular padding support for syscl, see https://github.com/ggml-org/llama.cpp/pull/16985
             if (ggml_get_op_params_i32(op, 8) != 0) {
@@ -4862,6 +4899,8 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
             return op->type == GGML_TYPE_F32;
         case GGML_OP_ARANGE:
             return op->type == GGML_TYPE_F32;
+        case GGML_OP_FLASH_ATTN_EXT:
+            return ggml_sycl_flash_attn_ext_supported(device, op);
         default:
             return false;
     }
diff --git a/ggml/src/ggml-sycl/norm.cpp b/ggml/src/ggml-sycl/norm.cpp
index 00702b5d09c..09fce1280ad 100644
--- a/ggml/src/ggml-sycl/norm.cpp
+++ b/ggml/src/ggml-sycl/norm.cpp
@@ -202,47 +202,34 @@ static void rms_norm_f32(const float* x, float* dst, const int ncols, const int6
     }
 }
 
-static void l2_norm_f32(const float* x, float* dst, const int ncols, const float eps,
-    const sycl::nd_item<3>& item_ct1, float* s_sum, int block_size) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-        item_ct1.get_local_id(1);
-    const int tid = item_ct1.get_local_id(2);
-    const int nthreads = item_ct1.get_local_range(2);
-    const int nwarps = nthreads / WARP_SIZE;
+template<int warp_size>
+static void l2_norm_f32(const float * x, float * dst, const int ncols,
+    const int64_t stride_row, const int64_t stride_channel,
+    const int64_t stride_sample, const float eps,
+    const sycl::nd_item<3>& item_ct1, float* s_sum, const int block_size) {
+    const int nrows     = item_ct1.get_group_range(2);
+    const int nchannels = item_ct1.get_group_range(1);
+
+    const int row     = item_ct1.get_group(2);
+    const int channel = item_ct1.get_group(1);
+    const int sample  = item_ct1.get_group(0);
+    const int tid     = item_ct1.get_local_id(2);
+
+    x   += sample*stride_sample + channel*stride_channel + row*stride_row;
+    dst += ((sample*nchannels + channel)*nrows + row)*ncols;
+
     float tmp = 0.0f; // partial sum for thread in warp
 
     for (int col = tid; col < ncols; col += block_size) {
-        const float xi = x[row * ncols + col];
+        const float xi = x[col];
         tmp += xi * xi;
     }
 
-    // sum up partial sums
-    tmp = warp_reduce_sum(tmp, item_ct1);
-    if (block_size > WARP_SIZE) {
-
-        int warp_id = item_ct1.get_local_id(2) / WARP_SIZE;
-        int lane_id = item_ct1.get_local_id(2) % WARP_SIZE;
-        if (lane_id == 0) {
-            s_sum[warp_id] = tmp;
-        }
-        /*
-        DPCT1118:3: SYCL group functions and algorithms must be encountered in
-        converged control flow. You may need to adjust the code.
-        */
-        item_ct1.barrier(sycl::access::fence_space::local_space);
-        size_t nreduce = nwarps / WARP_SIZE;
-        tmp = 0.f;
-        for (size_t i = 0; i < nreduce; i += 1)
-        {
-            tmp += s_sum[lane_id + i * WARP_SIZE];
-        }
-        tmp = warp_reduce_sum(tmp, item_ct1);
-    }
-
-    const float scale = sycl::rsqrt(sycl::max(tmp, eps * eps));
+    tmp = block_reduce<block_reduce_method::SUM, warp_size>(tmp, s_sum, block_size);
+    const float scale = sycl::rsqrt(sycl::fmax(tmp, eps * eps));
 
     for (int col = tid; col < ncols; col += block_size) {
-        dst[row * ncols + col] = scale * x[row * ncols + col];
+        dst[col] = scale * x[col];
     }
 }
 
@@ -369,42 +356,50 @@ static void rms_norm_f32_sycl(const float* x, float* dst, const int ncols, const
     }
 }
 
-static void l2_norm_f32_sycl(const float* x, float* dst, const int ncols,
-    const int nrows, const float eps,
-    queue_ptr stream, int device) {
-    // printf("%s ncols=%d, nrows=%d, WARP_SIZE=%d\n", __func__, ncols, nrows, WARP_SIZE);
+template<int warp_size>
+static void l2_norm_f32_sycl(const float *   x,
+                             float *         dst,
+                             const int       ncols,
+                             const int       nrows,
+                             const int       nchannels,
+                             const int       nsamples,
+                             const int64_t   stride_row,
+                             const int64_t   stride_channel,
+                             const int64_t   stride_sample,
+                             const float     eps,
+                             queue_ptr       stream,
+                             int             device) {
+    const dpct::dim3 blocks_num(nrows, nchannels, nsamples);
+
     if (ncols < 1024) {
-        const sycl::range<3> block_dims(1, 1, WARP_SIZE);
+        const dpct::dim3 block_dims(warp_size, 1, 1);
         stream->submit([&](sycl::handler& cgh) {
             cgh.parallel_for(
-                sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims,
+                sycl::nd_range<3>(blocks_num * block_dims,
                     block_dims),
                 [=](sycl::nd_item<3> item_ct1)
-                [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
-                    l2_norm_f32(x, dst, ncols, eps, item_ct1,
-                        nullptr, WARP_SIZE);
+                [[sycl::reqd_sub_group_size(warp_size)]] {
+                    l2_norm_f32<warp_size>(x, dst, ncols, stride_row, stride_channel, stride_sample, eps, item_ct1,
+                        nullptr, warp_size);
                 });
             });
     }
     else {
         const int work_group_size = ggml_sycl_info().max_work_group_sizes[device];
-        assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
+        assert(work_group_size % (warp_size * warp_size) == 0);
         const sycl::range<3> block_dims(1, 1, work_group_size);
-        /*
-        DPCT1049:19: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
+        int lsm_size =  block_dims[2] > warp_size ? work_group_size / warp_size * sizeof(float): 0;
         stream->submit([&](sycl::handler& cgh) {
-            sycl::local_accessor<float, 1> s_sum_acc_ct1(sycl::range<1>(work_group_size / WARP_SIZE),
+            sycl::local_accessor<float, 1> s_sum_acc_ct1(sycl::range<1>(lsm_size),
                 cgh);
+
             cgh.parallel_for(
-                sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims,
+                sycl::nd_range<3>(blocks_num * block_dims,
                     block_dims),
                 [=](sycl::nd_item<3> item_ct1)
-                [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
-                    l2_norm_f32(x, dst, ncols, eps, item_ct1,
-                        get_pointer(s_sum_acc_ct1), work_group_size);
+                [[sycl::reqd_sub_group_size(warp_size)]] {
+                    l2_norm_f32<warp_size>(x, dst, ncols, stride_row, stride_channel, stride_sample,
+                        eps, item_ct1, get_pointer(s_sum_acc_ct1), work_group_size);
                 });
             });
     }
@@ -634,21 +629,28 @@ void ggml_sycl_op_rms_norm_back(ggml_backend_sycl_context & ctx, ggml_tensor * d
 }
 
 void ggml_sycl_op_l2_norm(ggml_backend_sycl_context& ctx, ggml_tensor* dst) {
+    const ggml_tensor * src0 = dst->src[0];
+    const float * src0_d = (const float *) src0->data;
+    float * dst_d = (float *) dst->data;
+    dpct::queue_ptr     stream = ctx.stream();
 
-    GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
+    GGML_ASSERT(src0->type == GGML_TYPE_F32);
+    GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
-    dpct::queue_ptr main_stream = ctx.stream();
-    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
-
-    const int64_t ne00 = dst->src[0]->ne[0];
-    const int64_t nrows = ggml_nrows(dst->src[0]);
-    const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
-    float * dst_dd = static_cast<float *>(dst->data);
+    GGML_TENSOR_UNARY_OP_LOCALS;
 
     float eps;
     memcpy(&eps, dst->op_params, sizeof(float));
+    GGML_ASSERT(eps >= 0.0f);
 
-    l2_norm_f32_sycl(src0_dd, dst_dd, ne00, nrows, eps, main_stream, ctx.device);
+    const size_t ts0 = ggml_type_size(src0->type);
+    GGML_ASSERT(nb00 == ts0);
+    const int64_t s01 = nb01 / ts0;
+    const int64_t s02 = nb02 / ts0;
+    const int64_t s03 = nb03 / ts0;
 
+    /*support both WARP_SIZE or WARP_32_SIZE in code
+      choose by hardware for better performance
+    */
+    l2_norm_f32_sycl<WARP_SIZE>(src0_d, dst_d, ne00, ne01, ne02, ne03, s01, s02, s03, eps, stream, ctx.device);
 }
diff --git a/ggml/src/ggml-sycl/presets.hpp b/ggml/src/ggml-sycl/presets.hpp
index b6517374230..dc4dad1d37a 100644
--- a/ggml/src/ggml-sycl/presets.hpp
+++ b/ggml/src/ggml-sycl/presets.hpp
@@ -73,4 +73,7 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA
 #define MUL_MAT_SRC1_COL_STRIDE 128
 
 #define QK_WARP_SIZE 32
+#define WARP_32_SIZE 32
+#define WARP_16_SIZE 16
+
 #endif // GGML_SYCL_PRESETS_HPP
diff --git a/ggml/src/ggml-sycl/quants.hpp b/ggml/src/ggml-sycl/quants.hpp
index d0d5ac9a4e8..14490fea5be 100644
--- a/ggml/src/ggml-sycl/quants.hpp
+++ b/ggml/src/ggml-sycl/quants.hpp
@@ -29,7 +29,7 @@ namespace ggml_sycl_reordered {
 // [qs0, qs1, qs2, ..., qsN]  [d0, d1, d2, ..., dN]
 //
 // Notes: out-of-bounds qs will run into d values
-// Aligment relies on the allocated size of qs
+// Alignment relies on the allocated size of qs
 
 template <ggml_type type> struct block_q_t;
 
diff --git a/ggml/src/ggml-sycl/rope.cpp b/ggml/src/ggml-sycl/rope.cpp
index aeaa58b95b3..9d83a1e9fa0 100644
--- a/ggml/src/ggml-sycl/rope.cpp
+++ b/ggml/src/ggml-sycl/rope.cpp
@@ -1,4 +1,5 @@
 #include "rope.hpp"
+#include "convert.hpp"
 #include "ggml-sycl/common.hpp"
 #include "ggml.h"
 
@@ -15,366 +16,489 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) {
     return 1.0f - sycl::min(1.0f, sycl::max(0.0f, y));
 }
 
-// YaRN algorithm based on LlamaYaRNScaledRotaryEmbedding.py from https://github.com/jquesnelle/yarn
-// MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
-static void rope_yarn(
-    float theta_extrap, float freq_scale, rope_corr_dims corr_dims, int64_t i0, float ext_factor, float mscale,
-    float * cos_theta, float * sin_theta) {
-    // Get n-d rotational scaling corrected for extrapolation
+template <bool forward>
+static void rope_yarn(const float theta_extrap, const float freq_scale,
+                      const rope_corr_dims corr_dims, const int64_t i0,
+                      const float ext_factor, float mscale, float &cos_theta,
+                      float &sin_theta) {
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
     if (ext_factor != 0.0f) {
-        float ramp_mix = rope_yarn_ramp(corr_dims.v[0], corr_dims.v[1], i0) * ext_factor;
+        float ramp_mix =
+            rope_yarn_ramp(corr_dims.v[0], corr_dims.v[1], i0) * ext_factor;
         theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
 
-        // Get n-d magnitude scaling corrected for interpolation
         mscale *= 1.0f + 0.1f * sycl::log(1.0f / freq_scale);
     }
-    *cos_theta = sycl::cos(theta) * mscale;
-    *sin_theta = sycl::sin(theta) * mscale;
+    cos_theta = sycl::cos(theta) * mscale;
+    sin_theta = sycl::sin(theta) * mscale;
+    if (!forward) {
+        sin_theta *= -1.0f;
+    }
 }
 
-template <typename T, bool has_ff>
-static void rope_norm(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, const int n_dims,
-                      const int32_t * pos, float freq_scale, float ext_factor, float attn_factor,
-                      const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors,
-                      const sycl::nd_item<3> & item_ct1) {
-    const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + item_ct1.get_local_id(1));
-
-    if (i0 >= ne0) {
+template <bool forward, bool has_ff, typename T, typename D>
+static void rope_norm(const T *x, D *dst, const int ne00, const int ne01,
+                      const int ne02, const int s01, const int s02,
+                      const int s03, const int s1, const int s2, const int s3,
+                      const int n_dims, const int32_t *pos,
+                      const float freq_scale, const float ext_factor,
+                      const float attn_factor, const rope_corr_dims corr_dims,
+                      const float theta_scale, const float *freq_factors,
+                      const int64_t *row_indices, const int set_rows_stride) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
+                        item_ct1.get_local_id(1));
+
+    if (i0 >= ne00) {
         return;
     }
 
-    const int row = item_ct1.get_local_range(2) * item_ct1.get_group(2) + item_ct1.get_local_id(2);
+    const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+                        item_ct1.get_local_id(2);
 
-    const int row0     = row % ne1;
-    const int channel0 = row / ne1;
+    const uint32_t i3 = row_dst / (ne01 * ne02);
+    const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01;
+    const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01;
 
-    const int i  = row * ne0 + i0;
-    const int i2 = channel0 * s2 + row0 * s1 + i0;
+    int idst = i0 + i1 * s1 + i2 * s2 + i3 * s3;
+    const int ix = i0 + i1 * s01 + i2 * s02 + i3 * s03;
+
+    if (set_rows_stride != 0) {
+        idst = i1 * s1 + i0;
+        idst += row_indices[i2] * set_rows_stride;
+    }
 
+    const auto &store_coaelsced = [&](float x0, float x1) {
+        if constexpr (std::is_same_v<float, D>) {
+            sycl::float2 v = sycl::float2(x0, x1);
+            ggml_sycl_memcpy_1<8>(dst + idst, &v);
+        } else if constexpr (std::is_same_v<sycl::half, D>) {
+            sycl::half2 v = sycl::half2(x0, x1);
+            ggml_sycl_memcpy_1<4>(dst + idst, &v);
+        }
+    };
     if (i0 >= n_dims) {
-        *reinterpret_cast<sycl::vec<T, 2> *>(dst + i) = *reinterpret_cast<const sycl::vec<T, 2> *>(x + i2);
+        store_coaelsced(x[ix + 0], x[ix + 1]);
         return;
     }
 
-    const float theta_base = pos[channel0] * sycl::pow(theta_scale, i0 / 2.0f);
+    const float theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
 
     const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
 
     float cos_theta;
     float sin_theta;
 
-    rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
+                       ext_factor, attn_factor, cos_theta, sin_theta);
 
-    const float x0 = x[i2 + 0];
-    const float x1 = x[i2 + 1];
+    const float x0 = x[ix + 0];
+    const float x1 = x[ix + 1];
 
-    dst[i + 0] = x0 * cos_theta - x1 * sin_theta;
-    dst[i + 1] = x0 * sin_theta + x1 * cos_theta;
+    store_coaelsced(x0 * cos_theta - x1 * sin_theta,
+                    x0 * sin_theta + x1 * cos_theta);
 }
 
-template <typename T, bool has_ff>
-static void rope_neox(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, const int n_dims,
-                      const int32_t * pos, const float freq_scale, const float ext_factor, const float attn_factor,
-                      const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors,
-                      const sycl::nd_item<3> & item_ct1) {
-    const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + item_ct1.get_local_id(1));
-
-    if (i0 >= ne0) {
+template <bool forward, bool has_ff, typename T, typename D>
+static void rope_neox(const T *x, D *dst, const int ne00, const int ne01,
+                      const int ne02, const int s01, const int s02,
+                      const int s03, const int s1, const int s2, const int s3,
+                      const int n_dims, const int32_t *pos,
+                      const float freq_scale, const float ext_factor,
+                      const float attn_factor, const rope_corr_dims corr_dims,
+                      const float theta_scale, const float *freq_factors,
+                      const int64_t *row_indices, const int set_rows_stride) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
+                        item_ct1.get_local_id(1));
+
+    if (i0 >= ne00) {
         return;
     }
 
-    const int row = item_ct1.get_local_range(2) * item_ct1.get_group(2) + item_ct1.get_local_id(2);
+    const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+                        item_ct1.get_local_id(2);
 
-    const int row0     = row % ne1;
-    const int channel0 = row / ne1;
+    const uint32_t i3 = row_dst / (ne01 * ne02);
+    const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01;
+    const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01;
 
-    const int i  = row * ne0 + i0 / 2;
-    const int i2 = channel0 * s2 + row0 * s1 + i0 / 2;
+    int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3;
+    const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03;
+
+    if (set_rows_stride != 0) {
+        idst = i1 * s1 + i0 / 2;
+        idst += row_indices[i2] * set_rows_stride;
+    }
 
     if (i0 >= n_dims) {
-        *reinterpret_cast<sycl::vec<T, 2> *>(dst + i + i0 / 2) = *reinterpret_cast<const sycl::vec<T, 2> *>(x + i2 + i0 / 2);
+        dst[idst + i0 / 2 + 0] = ggml_sycl_cast<D>(x[ix + i0 / 2 + 0]);
+        dst[idst + i0 / 2 + 1] = ggml_sycl_cast<D>(x[ix + i0 / 2 + 1]);
+
         return;
     }
 
-    const float theta_base = pos[channel0] * sycl::pow(theta_scale, i0 / 2.0f);
+    const float theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
 
     const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
 
     float cos_theta;
     float sin_theta;
 
-    rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
+                       ext_factor, attn_factor, cos_theta, sin_theta);
 
-    const float x0 = x[i2 + 0];
-    const float x1 = x[i2 + n_dims / 2];
+    const float x0 = x[ix + 0];
+    const float x1 = x[ix + n_dims / 2];
 
-    dst[i + 0]          = x0 * cos_theta - x1 * sin_theta;
-    dst[i + n_dims / 2] = x0 * sin_theta + x1 * cos_theta;
+    dst[idst + 0] = ggml_sycl_cast<D>(x0 * cos_theta - x1 * sin_theta);
+    dst[idst + n_dims / 2] = ggml_sycl_cast<D>(x0 * sin_theta + x1 * cos_theta);
 }
 
-template <typename T, bool has_ff>
-static void rope_multi(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1,
-                        const size_t s2, const int n_dims, const int32_t * pos, const float freq_scale,
-                        const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims,
-                        const float theta_scale, const float * freq_factors, const mrope_sections sections,
-                        const bool is_imrope, const sycl::nd_item<3> & item_ct1) {
-    // get index pos
-    const int i0 = 2 * (item_ct1.get_group(1) * item_ct1.get_local_range(1) + item_ct1.get_local_id(1));
-    if (i0 >= ne0) {
+template <bool forward, bool has_ff, typename T>
+static void rope_multi(const T *x, T *dst, const int ne00, const int ne01,
+                       const int ne02, const int s01, const int s02,
+                       const int s03, const int s1, const int s2, const int s3,
+                       const int n_dims, const int32_t *pos,
+                       const float freq_scale, const float ext_factor,
+                       const float attn_factor, const rope_corr_dims corr_dims,
+                       const float theta_scale, const float *freq_factors,
+                       const mrope_sections sections, const bool is_imrope) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
+                        item_ct1.get_local_id(1));
+
+    if (i0 >= ne00) {
         return;
     }
-    const int    row_dst   = (item_ct1.get_group(2) * item_ct1.get_local_range(2)) + item_ct1.get_local_id(2);
 
-    const int    row_x     = row_dst % ne1;
-    const int    channel_x = row_dst / ne1;
-    const int    idst      = (row_dst * ne0) + (i0 / 2);
-    const size_t ix        = ((size_t) channel_x * s2) + ((size_t) row_x * s1) + (i0 / 2);
+    const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+                        item_ct1.get_local_id(2);
+
+    const uint32_t i3 = row_dst / (ne01 * ne02);
+    const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01;
+    const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01;
+
+    int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3;
+    const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03;
 
     if (i0 >= n_dims) {
-        *reinterpret_cast<sycl::vec<T, 2> *>(dst + idst + i0 / 2) = *reinterpret_cast<const sycl::vec<T, 2> *>(x + i0 / 2 + ix);
+        dst[idst + i0 / 2 + 0] = x[ix + i0 / 2 + 0];
+        dst[idst + i0 / 2 + 1] = x[ix + i0 / 2 + 1];
+
         return;
     }
 
-    const int sect_dims = sections.v[0] + sections.v[1] + sections.v[2] + sections.v[3];
+    const int sect_dims =
+        sections.v[0] + sections.v[1] + sections.v[2] + sections.v[3];
     const int sec_w = sections.v[1] + sections.v[0];
     const int sector = (i0 / 2) % sect_dims;
 
-
     float theta_base = 0.0;
     if (is_imrope) {
-        if (sector % 3 == 1 && sector < 3 * sections.v[1]) {
-            theta_base = pos[channel_x + ne2 * 1]*sycl::pow(theta_scale, i0/2.0f);
-        } else if (sector % 3 == 2 && sector < 3 * sections.v[2]) {
-            theta_base = pos[channel_x + ne2 * 2]*sycl::pow(theta_scale, i0/2.0f);
-        } else if (sector % 3 == 0 && sector < 3 * sections.v[0]) {
-            theta_base = pos[channel_x]*sycl::pow(theta_scale, i0/2.0f);
+        if (sector % 3 == 1 && sector < 3 * sections.v[1]) { // h
+            theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, i0 / 2.0f);
+        } else if (sector % 3 == 2 && sector < 3 * sections.v[2]) { // w
+            theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, i0 / 2.0f);
+        } else if (sector % 3 == 0 && sector < 3 * sections.v[0]) { // t
+            theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
         } else {
-            theta_base = pos[channel_x + ne2 * 3]*sycl::pow(theta_scale, i0/2.0f);
+            theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, i0 / 2.0f);
         }
     } else {
         if (sector < sections.v[0]) {
-            theta_base = pos[channel_x]*sycl::pow(theta_scale, i0/2.0f);
-        }
-        else if (sector >= sections.v[0] && sector < sec_w) {
-            theta_base = pos[channel_x + ne2 * 1]*sycl::pow(theta_scale, i0/2.0f);
-        }
-        else if (sector >= sec_w && sector < sec_w + sections.v[2]) {
-            theta_base = pos[channel_x + ne2 * 2]*sycl::pow(theta_scale, i0/2.0f);
-        }
-        else if (sector >= sec_w + sections.v[2]) {
-            theta_base = pos[channel_x + ne2 * 3]*sycl::pow(theta_scale, i0/2.0f);
+            theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
+        } else if (sector >= sections.v[0] && sector < sec_w) {
+            theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, i0 / 2.0f);
+        } else if (sector >= sec_w && sector < sec_w + sections.v[2]) {
+            theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, i0 / 2.0f);
+        } else if (sector >= sec_w + sections.v[2]) {
+            theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, i0 / 2.0f);
         }
     }
 
     const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
-    float       cos_theta;
-    float       sin_theta;
-    rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
-    const float x0 = x[ix + 0];
-    const float x1 = x[ix + n_dims/2];
 
-    // store results in dst
-    dst[idst + 0]      = x0 * cos_theta - x1 * sin_theta;
-    dst[idst + n_dims/2] = x0 * sin_theta + x1 * cos_theta;
-}
+    float cos_theta;
+    float sin_theta;
 
+    rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
+                       ext_factor, attn_factor, cos_theta, sin_theta);
 
+    const float x0 = x[ix + 0];
+    const float x1 = x[ix + n_dims / 2];
+
+    dst[idst + 0] = x0 * cos_theta - x1 * sin_theta;
+    dst[idst + n_dims / 2] = x0 * sin_theta + x1 * cos_theta;
+}
 
-template <typename T, bool has_ff>
-static void rope_vision(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1,
-                        const size_t s2, const int n_dims, const int32_t * pos, const float freq_scale,
-                        const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims,
-                        const float theta_scale, const float * freq_factors, const mrope_sections sections,
-                        const sycl::nd_item<3> & item_ct1) {
-    // get index pos
-    const int i0 = 2 * (item_ct1.get_group(1) * item_ct1.get_local_range(1) + item_ct1.get_local_id(1));
-    if (i0 >= ne0) {
+template <bool forward, bool has_ff, typename T>
+static void rope_vision(const T *x, T *dst, const int ne00, const int ne01,
+                        const int ne02, const int s01, const int s02,
+                        const int s03, const int s1, const int s2, const int s3,
+                        const int n_dims, const int32_t *pos,
+                        const float freq_scale, const float ext_factor,
+                        const float attn_factor, const rope_corr_dims corr_dims,
+                        const float theta_scale, const float *freq_factors,
+                        const mrope_sections sections) {
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
+                        item_ct1.get_local_id(1));
+
+    if (i0 >= ne00) {
         return;
     }
-    const int    row_dst   = (item_ct1.get_group(2) * item_ct1.get_local_range(2)) + item_ct1.get_local_id(2);
-    const int    row_x     = row_dst % ne1;
-    const int    channel_x = row_dst / ne1;
-    const int    idst      = (row_dst * ne0) + (i0 / 2);
-    const size_t ix        = ((size_t) channel_x * s2) + ((size_t) row_x * s1) + (i0 / 2);
+
+    const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+                        item_ct1.get_local_id(2);
+
+    const uint32_t i3 = row_dst / (ne01 * ne02);
+    const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01;
+    const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01;
+
+    int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3;
+    const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03;
 
     const int sect_dims = sections.v[0] + sections.v[1];
-    const int sector    = (i0 / 2) % sect_dims;
+    const int sec_w = sections.v[1] + sections.v[0];
+    const int sector = (i0 / 2) % sect_dims;
 
-    float theta_base = 0.0f;
+    float theta_base = 0.0;
     if (sector < sections.v[0]) {
         const int p = sector;
-        theta_base  = pos[channel_x] * sycl::pow(theta_scale, (float) p);
-    } else {
+        theta_base = pos[i2] * dpct::pow(theta_scale, p);
+    } else if (sector >= sections.v[0] && sector < sec_w) {
         const int p = sector - sections.v[0];
-        theta_base  = pos[channel_x + ne2] * sycl::pow(theta_scale, (float) p);
+        theta_base = pos[i2 + ne02] * dpct::pow(theta_scale, p);
     }
 
     const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
-    float       cos_theta;
-    float       sin_theta;
-    rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+
+    float cos_theta;
+    float sin_theta;
+
+    rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
+                       ext_factor, attn_factor, cos_theta, sin_theta);
+
     const float x0 = x[ix + 0];
     const float x1 = x[ix + n_dims];
 
-    // store results in dst
-    dst[idst + 0]      = x0 * cos_theta - x1 * sin_theta;
+    dst[idst + 0] = x0 * cos_theta - x1 * sin_theta;
     dst[idst + n_dims] = x0 * sin_theta + x1 * cos_theta;
 }
 
-template <typename T>
-static void rope_norm_sycl(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2,
-                           const int n_dims, int nr, const int32_t * pos, const float freq_scale, const float freq_base,
-                           const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims,
-                           const float * freq_factors, queue_ptr stream) {
-    GGML_ASSERT(ne0 % 2 == 0);
-    const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
-    const int            num_blocks_x = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE));
-    const sycl::range<3> block_nums(1, num_blocks_x, nr);
+template <bool forward, typename T, typename D>
+static void
+rope_norm_sycl(const T *x, D *dst, const int ne00, const int ne01,
+               const int ne02, const int s01, const int s02, const int s03,
+               const int s1, const int s2, const int s3, const int n_dims,
+               const int nr, const int32_t *pos, const float freq_scale,
+               const float freq_base, const float ext_factor,
+               const float attn_factor, const rope_corr_dims corr_dims,
+               const float *freq_factors, const int64_t *row_indices,
+               const int set_rows_stride, dpct::queue_ptr stream) {
+    GGML_ASSERT(ne00 % 2 == 0);
+    const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
+    const int n_blocks_x =
+        (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE);
+    const dpct::dim3 block_nums(nr, n_blocks_x, 1);
 
     const float theta_scale = powf(freq_base, -2.0f / n_dims);
 
-    dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 });
-
     if (freq_factors == nullptr) {
-        /*
-        DPCT1049:40: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
-            rope_norm<T, false>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims,
-                                theta_scale, freq_factors, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_norm<forward, false>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, row_indices, set_rows_stride);
+            });
     } else {
-        /*
-        DPCT1049:41: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
-            rope_norm<T, true>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims,
-                               theta_scale, freq_factors, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_norm<forward, true>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, row_indices, set_rows_stride);
+            });
     }
 }
 
-template <typename T>
-static void rope_neox_sycl(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2,
-                           const int n_dims, const int nr, const int32_t * pos, const float freq_scale,
-                           const float freq_base, const float ext_factor, const float attn_factor,
-                           const rope_corr_dims corr_dims, const float * freq_factors, queue_ptr stream) {
-    GGML_ASSERT(ne0 % 2 == 0);
-    const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
-    const int            num_blocks_x = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE));
-    const sycl::range<3> block_nums(1, num_blocks_x, nr);
+template <bool forward, typename T, typename D>
+static void
+rope_neox_sycl(const T *x, D *dst, const int ne00, const int ne01,
+               const int ne02, const int s01, const int s02, const int s03,
+               const int s1, const int s2, const int s3, const int n_dims,
+               const int nr, const int32_t *pos, const float freq_scale,
+               const float freq_base, const float ext_factor,
+               const float attn_factor, const rope_corr_dims corr_dims,
+               const float *freq_factors, const int64_t *row_indices,
+               const int set_rows_stride, dpct::queue_ptr stream) {
+    GGML_ASSERT(ne00 % 2 == 0);
+    const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
+    const int n_blocks_x =
+        (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE);
+    const dpct::dim3 block_nums(nr, n_blocks_x, 1);
 
     const float theta_scale = powf(freq_base, -2.0f / n_dims);
 
-    dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 });
-
     if (freq_factors == nullptr) {
-        stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
-            rope_neox<T, false>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims,
-                                theta_scale, freq_factors, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_neox<forward, false>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, row_indices, set_rows_stride);
+            });
     } else {
-        stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
-            rope_neox<T, true>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims,
-                               theta_scale, freq_factors, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_neox<forward, true>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, row_indices, set_rows_stride);
+            });
     }
 }
 
-template <typename T>
-static void rope_multi_sycl(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1,
-                             const size_t s2, const int n_dims, const int nr, const int32_t * pos,
-                             const float freq_scale, const float freq_base, const float ext_factor,
-                             const float attn_factor, const rope_corr_dims corr_dims, const float * freq_factors,
-                             const mrope_sections sections, const bool is_imrope, queue_ptr stream) {
-    GGML_ASSERT(ne0 % 2 == 0);
-    const sycl::range<3>    block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
-    const int               n_blocks_y = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE));
-    const sycl::range<3>    grid_dims(1, n_blocks_y, nr);
-    const sycl::nd_range<3> nd_range(grid_dims * block_dims, block_dims);
-
-    const float theta_scale = std::pow(freq_base, -2.0f / n_dims);
-    // Add FP16 capability check if T could be sycl::half
-    if constexpr (std::is_same_v<T, sycl::half>) {
-        dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 });
-    }
-    // launch kernel
+template <bool forward, typename T>
+static void
+rope_multi_sycl(const T *x, T *dst, const int ne00, const int ne01,
+                const int ne02, const int s01, const int s02, const int s03,
+                const int s1, const int s2, const int s3, const int n_dims,
+                const int nr, const int32_t *pos, const float freq_scale,
+                const float freq_base, const float ext_factor,
+                const float attn_factor, const rope_corr_dims corr_dims,
+                const float *freq_factors, const mrope_sections sections,
+                const bool is_imrope, dpct::queue_ptr stream) {
+    GGML_ASSERT(ne00 % 2 == 0);
+    const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
+    const int n_blocks_x =
+        (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE);
+    const dpct::dim3 block_nums(nr, n_blocks_x, 1);
+
+    const float theta_scale = powf(freq_base, -2.0f / n_dims);
+
     if (freq_factors == nullptr) {
-        stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) {
-            rope_multi<T, false>(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor,
-                                  corr_dims, theta_scale, freq_factors, sections, is_imrope, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_multi<forward, false, T>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, sections, is_imrope);
+            });
     } else {
-        stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) {
-            rope_multi<T, true>(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor,
-                                 corr_dims, theta_scale, freq_factors, sections, is_imrope, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_multi<forward, true, T>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, sections, is_imrope);
+            });
     }
 }
 
+template <bool forward, typename T>
+static void
+rope_vision_sycl(const T *x, T *dst, const int ne00, const int ne01,
+                 const int ne02, const int s01, const int s02, const int s03,
+                 const int s1, const int s2, const int s3, const int n_dims,
+                 const int nr, const int32_t *pos, const float freq_scale,
+                 const float freq_base, const float ext_factor,
+                 const float attn_factor, const rope_corr_dims corr_dims,
+                 const float *freq_factors, const mrope_sections sections,
+                 dpct::queue_ptr stream) {
+    GGML_ASSERT(ne00 % 2 == 0);
+    const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
+    const int n_blocks_x =
+        (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE);
+    const dpct::dim3 block_nums(nr, n_blocks_x, 1);
 
+    const float theta_scale = powf(freq_base, -2.0f / n_dims);
 
-
-// rope vision
-template <typename T>
-static void rope_vision_sycl(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1,
-                             const size_t s2, const int n_dims, const int nr, const int32_t * pos,
-                             const float freq_scale, const float freq_base, const float ext_factor,
-                             const float attn_factor, const rope_corr_dims corr_dims, const float * freq_factors,
-                             const mrope_sections sections, queue_ptr stream) {
-    GGML_ASSERT(ne0 % 2 == 0);
-    const sycl::range<3>    block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
-    const int               n_blocks_y = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE));
-    const sycl::range<3>    grid_dims(1, n_blocks_y, nr);
-    const sycl::nd_range<3> nd_range(grid_dims * block_dims, block_dims);
-
-    const float theta_scale = std::pow(freq_base, -2.0f / n_dims);
-    // Add FP16 capability check if T could be sycl::half
-    if constexpr (std::is_same_v<T, sycl::half>) {
-        dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 });
-    }
-    // launch kernel
     if (freq_factors == nullptr) {
-        stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) {
-            rope_vision<T, false>(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor,
-                                  corr_dims, theta_scale, freq_factors, sections, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_vision<forward, false, T>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, sections);
+            });
     } else {
-        stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) {
-            rope_vision<T, true>(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor,
-                                 corr_dims, theta_scale, freq_factors, sections, item_ct1);
-        });
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) {
+                GGML_UNUSED(item_ct1);
+                rope_vision<forward, true, T>(
+                    x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
+                    pos, freq_scale, ext_factor, attn_factor, corr_dims,
+                    theta_scale, freq_factors, sections);
+            });
     }
 }
 
-inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
+template <bool forward>
+void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst,
+                            const ggml_tensor *set_rows = nullptr) {
+    const ggml_tensor *src0 = dst->src[0];
+    const ggml_tensor *src1 = dst->src[1];
+    const ggml_tensor *src2 = dst->src[2];
+
+    const float *src0_d = (const float *)src0->data;
+    const float *src1_d = (const float *)src1->data;
+
+    void *dst_d = dst->data;
+    const int64_t *row_indices = nullptr;
+    ggml_type dst_type = dst->type;
+    int set_rows_stride = 0;
+
+    if (set_rows != nullptr) {
+        GGML_ASSERT(forward);
+        dst_d = set_rows->data;
+        row_indices = (const int64_t *)set_rows->src[1]->data;
+        dst_type = set_rows->type;
+        set_rows_stride = set_rows->nb[1] / ggml_type_size(set_rows->type);
+    }
+    dpct::queue_ptr stream = ctx.stream();
+
+    GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
+    GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
+    GGML_ASSERT(src0->type == dst->type ||
+                (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16));
 
-    GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16);
-    GGML_ASSERT( dst->type == GGML_TYPE_F32 ||  dst->type == GGML_TYPE_F16);
-    GGML_ASSERT(dst->src[0]->type == dst->type);
-    const int64_t ne00 = dst->src[0]->ne[0]; // head dims
-    const int64_t ne01 = dst->src[0]->ne[1]; // num heads
-    const int64_t ne02 = dst->src[0]->ne[2]; // num heads
-    const int64_t nr = ggml_nrows(dst->src[0]);
+    const int64_t ne00 = src0->ne[0]; // head dims
+    const int64_t ne01 = src0->ne[1]; // num heads
+    const int64_t ne02 = src0->ne[2]; // num heads
+    const int64_t nr = ggml_nrows(src0);
 
-    const size_t s01 = dst->src[0]->nb[1] / ggml_type_size(dst->src[0]->type);
-    const size_t s02 = dst->src[0]->nb[2] / ggml_type_size(dst->src[0]->type);
+    const size_t s01 = src0->nb[1] / ggml_type_size(src0->type);
+    const size_t s02 = src0->nb[2] / ggml_type_size(src0->type);
+    const size_t s03 = src0->nb[3] / ggml_type_size(src0->type);
 
+    const size_t s1 = dst->nb[1] / ggml_type_size(dst->type);
+    const size_t s2 = dst->nb[2] / ggml_type_size(dst->type);
+    const size_t s3 = dst->nb[3] / ggml_type_size(dst->type);
 
-    //const int n_past      = ((int32_t *) dst->op_params)[0];
-    const int n_dims      = ((int32_t *) dst->op_params)[1];
-    const int mode        = ((int32_t *) dst->op_params)[2];
-    //const int n_ctx       = ((int32_t *) dst->op_params)[3];
-    const int n_ctx_orig  = ((int32_t *) dst->op_params)[4];
+    const int n_dims = ((int32_t *)dst->op_params)[1];
+    const int mode = ((int32_t *)dst->op_params)[2];
+    const int n_ctx_orig = ((int32_t *)dst->op_params)[4];
     mrope_sections sections;
 
-    // RoPE alteration for extended context
     float freq_base;
     float freq_scale;
     float ext_factor;
@@ -382,13 +506,13 @@ inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst)
     float beta_fast;
     float beta_slow;
 
-    memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
-    memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
-    memcpy(&ext_factor,  (int32_t *) dst->op_params +  7, sizeof(float));
-    memcpy(&attn_factor, (int32_t *) dst->op_params +  8, sizeof(float));
-    memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
-    memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
-    memcpy(&sections.v,  (int32_t *) dst->op_params + 11, sizeof(int)*4);
+    memcpy(&freq_base, (int32_t *)dst->op_params + 5, sizeof(float));
+    memcpy(&freq_scale, (int32_t *)dst->op_params + 6, sizeof(float));
+    memcpy(&ext_factor, (int32_t *)dst->op_params + 7, sizeof(float));
+    memcpy(&attn_factor, (int32_t *)dst->op_params + 8, sizeof(float));
+    memcpy(&beta_fast, (int32_t *)dst->op_params + 9, sizeof(float));
+    memcpy(&beta_slow, (int32_t *)dst->op_params + 10, sizeof(float));
+    memcpy(&sections.v, (int32_t *)dst->op_params + 11, sizeof(int) * 4);
 
     const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
     const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE;
@@ -396,82 +520,122 @@ inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst)
     const bool is_vision = mode == GGML_ROPE_TYPE_VISION;
 
     if (is_mrope) {
-        GGML_ASSERT(sections.v[0] > 0 || sections.v[1] > 0 || sections.v[2] > 0);
+        GGML_ASSERT(sections.v[0] > 0 || sections.v[1] > 0 ||
+                    sections.v[2] > 0);
     }
 
     if (is_vision) {
-        GGML_ASSERT(n_dims == ne00/2);
+        GGML_ASSERT(n_dims == ne00 / 2);
     }
 
-    const int32_t * pos = (const int32_t *) dst->src[1]->data;
+    const int32_t *pos = (const int32_t *)src1_d;
 
-    const float * freq_factors = nullptr;
-    if (dst->src[2] != nullptr) {
-        freq_factors = (const float *) dst->src[2]->data;
+    const float *freq_factors = nullptr;
+    if (src2 != nullptr) {
+        freq_factors = (const float *)src2->data;
     }
 
     rope_corr_dims corr_dims;
-    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims.v);
-
-    dpct::queue_ptr main_stream = ctx.stream();
-    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast,
+                             beta_slow, corr_dims.v);
 
     // compute
     if (is_neox) {
         GGML_SYCL_DEBUG("%s: neox path\n", __func__);
-        if (dst->src[0]->type == GGML_TYPE_F32) {
-            rope_neox_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, s01, s02, n_dims, nr,
-                           pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, main_stream);
-        } else if (dst->src[0]->type == GGML_TYPE_F16) {
-            rope_neox_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, s01, s02,
-                           n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
-                           main_stream);
+        if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F32) {
+            rope_neox_sycl<forward, float, float>(
+                (const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01,
+                s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base,
+                ext_factor, attn_factor, corr_dims, freq_factors, row_indices,
+                set_rows_stride, stream);
+        } else if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F16) {
+            rope_neox_sycl<forward, float, sycl::half>(
+                (const float *)src0_d, (sycl::half *)dst_d, ne00, ne01, ne02,
+                s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
+                freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
+                row_indices, set_rows_stride, stream);
+        } else if (src0->type == GGML_TYPE_F16 && dst_type == GGML_TYPE_F16) {
+            rope_neox_sycl<forward, sycl::half, sycl::half>(
+                (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
+                ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
+                freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
+                row_indices, set_rows_stride, stream);
         } else {
-            GGML_ABORT("fatal error");
+            GGML_ABORT("Fatal error: Tensor type unsupported!");
         }
     } else if (is_mrope && !is_vision) {
         GGML_SYCL_DEBUG("%s: mrope path\n", __func__);
-        if (dst->src[0]->type == GGML_TYPE_F16) {
-            rope_multi_sycl((const sycl::half *)dst->src[0]->data, (sycl::half *)dst->data, ne00, ne01, ne02, s01,
-                s02, n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims,
-                freq_factors, sections, is_imrope, main_stream);
-        } else if (dst->src[0]->type == GGML_TYPE_F32) {
-            rope_multi_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, ne02, s01, s02, n_dims,
-                             nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections,
-                             is_imrope, main_stream);
+        if (src0->type == GGML_TYPE_F32) {
+            rope_multi_sycl<forward>((const float *)src0_d, (float *)dst_d,
+                                     ne00, ne01, ne02, s01, s02, s03, s1, s2,
+                                     s3, n_dims, nr, pos, freq_scale, freq_base,
+                                     ext_factor, attn_factor, corr_dims,
+                                     freq_factors, sections, is_imrope, stream);
+        } else if (src0->type == GGML_TYPE_F16) {
+            rope_multi_sycl<forward>(
+                (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
+                ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
+                freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
+                sections, is_imrope, stream);
         } else {
             GGML_ABORT("Fatal error: Tensor type unsupported!");
         }
     } else if (is_vision) {
         GGML_SYCL_DEBUG("%s: vision path\n", __func__);
-        if (dst->src[0]->type == GGML_TYPE_F16) {
-            rope_vision_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, ne02, s01,
-                             s02, n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims,
-                             freq_factors, sections, main_stream);
-        } else if (dst->src[0]->type == GGML_TYPE_F32) {
-            rope_vision_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, ne02, s01, s02, n_dims,
-                             nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections,
-                             main_stream);
+        if (src0->type == GGML_TYPE_F32) {
+            rope_vision_sycl<forward>(
+                (const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01,
+                s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base,
+                ext_factor, attn_factor, corr_dims, freq_factors, sections,
+                stream);
+        } else if (src0->type == GGML_TYPE_F16) {
+            rope_vision_sycl<forward>(
+                (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
+                ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
+                freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
+                sections, stream);
         } else {
             GGML_ABORT("Fatal error: Tensor type unsupported!");
         }
     } else {
         GGML_SYCL_DEBUG("%s: norm path\n", __func__);
-        if (dst->src[0]->type == GGML_TYPE_F32) {
-            rope_norm_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, s01, s02, n_dims, nr,
-                           pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, main_stream);
-        } else if (dst->src[0]->type == GGML_TYPE_F16) {
-            rope_norm_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, s01, s02,
-                           n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
-                           main_stream);
+        if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F32) {
+            rope_norm_sycl<forward, float, float>(
+                (const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01,
+                s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base,
+                ext_factor, attn_factor, corr_dims, freq_factors, row_indices,
+                set_rows_stride, stream);
+        } else if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F16) {
+            rope_norm_sycl<forward, float, sycl::half>(
+                (const float *)src0_d, (sycl::half *)dst_d, ne00, ne01, ne02,
+                s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
+                freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
+                row_indices, set_rows_stride, stream);
+        } else if (src0->type == GGML_TYPE_F16 && dst_type == GGML_TYPE_F16) {
+            rope_norm_sycl<forward, sycl::half, sycl::half>(
+                (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
+                ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
+                freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
+                row_indices, set_rows_stride, stream);
         } else {
-            GGML_ABORT("fatal error");
+            GGML_ABORT("Fatal error: Tensor type unsupported!");
         }
     }
 }
 
-void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+void ggml_sycl_rope(ggml_backend_sycl_context &ctx, ggml_tensor *dst) {
     scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/3);
-    ggml_sycl_op_rope(ctx, dst);
+
+    ggml_sycl_op_rope_impl<true>(ctx, dst);
 }
 
+void ggml_sycl_rope_back(ggml_backend_sycl_context &ctx, ggml_tensor *dst) {
+    scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/3);
+    ggml_sycl_op_rope_impl<false>(ctx, dst);
+}
+
+void ggml_sycl_rope_fused(ggml_backend_sycl_context &ctx, ggml_tensor *rope,
+                          ggml_tensor *set_rows) {
+    scope_op_debug_print scope_dbg_print(__func__, rope, /*num_src=*/3);
+    ggml_sycl_op_rope_impl<true>(ctx, rope, set_rows);
+}
diff --git a/ggml/src/ggml-sycl/rope.hpp b/ggml/src/ggml-sycl/rope.hpp
index 8c7141aac5c..b95a585808b 100644
--- a/ggml/src/ggml-sycl/rope.hpp
+++ b/ggml/src/ggml-sycl/rope.hpp
@@ -15,6 +15,12 @@
 
 #include "common.hpp"
 
+#define SYCL_ROPE_BLOCK_SIZE 256
+
 void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst);
 
+void ggml_sycl_rope_back(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
+
+void ggml_sycl_rope_fused(ggml_backend_sycl_context & ctx, ggml_tensor * dst, ggml_tensor * set_rows);
+
 #endif // GGML_SYCL_ROPE_HPP
diff --git a/ggml/src/ggml-sycl/softmax.cpp b/ggml/src/ggml-sycl/softmax.cpp
index b41124acc13..fdf9b843e01 100644
--- a/ggml/src/ggml-sycl/softmax.cpp
+++ b/ggml/src/ggml-sycl/softmax.cpp
@@ -37,7 +37,7 @@ struct soft_max_params {
 };
 
 // When ncols_template == 0 the bounds for the loops in this function are not known and can't be unrolled.
-// As we want to keep pragma unroll for all other cases we supress the clang transformation warning here.
+// As we want to keep pragma unroll for all other cases we suppress the clang transformation warning here.
 #ifdef __clang__
 #pragma clang diagnostic push
 #pragma clang diagnostic ignored "-Wpass-failed"
@@ -102,7 +102,7 @@ static void soft_max_f32(const float *         x,
         max_val   = sycl::max(max_val, val);
     }
     // find the max value in the block
-    max_val = warp_reduce_max(max_val);
+    max_val = warp_reduce_max<WARP_SIZE>(max_val);
 
     if (block_size > WARP_SIZE) {
         if (warp_id == 0) {
@@ -116,7 +116,7 @@ static void soft_max_f32(const float *         x,
         item_ct1.barrier();
 
         max_val = buf_iw[lane_id];
-        max_val = warp_reduce_max(max_val);
+        max_val = warp_reduce_max<WARP_SIZE>(max_val);
     }
     float tmp = 0.0f; // partial sum
 
@@ -133,7 +133,7 @@ static void soft_max_f32(const float *         x,
         vals[col] = val;
     }
     // find the sum of exps in the block
-    tmp = warp_reduce_sum(tmp);
+    tmp = warp_reduce_sum<WARP_SIZE>(tmp);
     if (block_size > WARP_SIZE) {
         item_ct1.barrier();
         if (warp_id == 0) {
@@ -153,7 +153,7 @@ static void soft_max_f32(const float *         x,
         for (size_t i = 1; i < nreduce; i += 1) {
             tmp += buf_iw[lane_id + i * WARP_SIZE];
         }
-        tmp = warp_reduce_sum(tmp);
+        tmp = warp_reduce_sum<WARP_SIZE>(tmp);
     }
     if (sinks) {
         tmp += sycl::native::exp(sinks[i02] - max_val);
@@ -191,7 +191,7 @@ static void soft_max_back_f32(const float *grad, const float *dstf, float *dst,
         dgf_dot += dstf[col]*grad[col];
     }
 
-    dgf_dot = warp_reduce_sum(dgf_dot);
+    dgf_dot = warp_reduce_sum<WARP_SIZE>(dgf_dot);
 
     for (int col = tid; col < ncols; col += WARP_SIZE) {
         dst[col] = scale * (grad[col] - dgf_dot) * dstf[col];
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp
new file mode 100644
index 00000000000..5c06d42fdbd
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(112, 112);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp
new file mode 100644
index 00000000000..f74e1202b83
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(128, 128);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp
new file mode 100644
index 00000000000..b574fe9308d
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(256, 256);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp
new file mode 100644
index 00000000000..8c8fb692c43
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(40, 40);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp
new file mode 100644
index 00000000000..f218552e85f
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(576, 512);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp
new file mode 100644
index 00000000000..99303a53a3c
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(64, 64);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp
new file mode 100644
index 00000000000..50592768afd
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(72, 72);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp
new file mode 100644
index 00000000000..74f1ea5e90c
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(80, 80);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp
new file mode 100644
index 00000000000..cefb46dddc7
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(96, 96);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
new file mode 100644
index 00000000000..32cf4f2859b
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
new file mode 100644
index 00000000000..a61a19021bb
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
new file mode 100644
index 00000000000..63b74fb347a
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
new file mode 100644
index 00000000000..46e2d9853c5
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
new file mode 100644
index 00000000000..7aabb6ff6e4
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
new file mode 100644
index 00000000000..148ea217f62
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
new file mode 100644
index 00000000000..4b169dbcdbc
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
new file mode 100644
index 00000000000..79f530b1815
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
new file mode 100644
index 00000000000..2f7db51ce82
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
new file mode 100644
index 00000000000..9e3bf0b14a1
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
new file mode 100644
index 00000000000..18081879cec
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
new file mode 100644
index 00000000000..1c387b0d87c
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
new file mode 100644
index 00000000000..f005b3762cc
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
new file mode 100644
index 00000000000..3553b1cdd16
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
new file mode 100644
index 00000000000..687ec567115
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
new file mode 100644
index 00000000000..2663bfe7466
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
new file mode 100644
index 00000000000..641b7c7ae2a
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
new file mode 100644
index 00000000000..3d3181d4719
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
new file mode 100644
index 00000000000..85d5026ad4f
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
new file mode 100644
index 00000000000..1e81401a2c9
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
new file mode 100644
index 00000000000..54251473f97
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
new file mode 100644
index 00000000000..d418c1fb21e
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
new file mode 100644
index 00000000000..0f26cfabd09
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
new file mode 100644
index 00000000000..4fb98723519
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
new file mode 100644
index 00000000000..85b79cd1976
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
new file mode 100644
index 00000000000..7348323b28b
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
new file mode 100644
index 00000000000..f19af2aa0ba
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
new file mode 100644
index 00000000000..d7075bac600
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
new file mode 100644
index 00000000000..627f9a57755
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
new file mode 100644
index 00000000000..23304eecd35
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
new file mode 100644
index 00000000000..95acb5d4fbf
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
new file mode 100644
index 00000000000..5e88f4bab8a
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
new file mode 100644
index 00000000000..69f297feb0c
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
new file mode 100644
index 00000000000..455842a9421
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
new file mode 100644
index 00000000000..f7ef7391571
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
new file mode 100644
index 00000000000..1c633bdf2fa
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
@@ -0,0 +1,7 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec.hpp"
+
+DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/vecdotq.hpp b/ggml/src/ggml-sycl/vecdotq.hpp
index 43482b3672c..9a267d85a0c 100644
--- a/ggml/src/ggml-sycl/vecdotq.hpp
+++ b/ggml/src/ggml-sycl/vecdotq.hpp
@@ -650,6 +650,19 @@ static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u,
     return d8_0*d8_1 * sumi;
 }
 
+template <typename T, int vdr>
+static __dpct_inline__ T vec_dot_q8_0_q8_1_impl(const int * v, const int * u, const T & d8_0, const T & d8_1) {
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        // SIMD dot product of quantized values
+        sumi = ggml_sycl_dp4a(v[i], u[i], sumi);
+    }
+
+    return d8_0*d8_1 * ((T) sumi);
+}
+
 template <int vdr>
 static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u,
                                                     const sycl::half2 &dm8,
diff --git a/ggml/src/ggml-virtgpu/backend/backend-dispatched-backend.cpp b/ggml/src/ggml-virtgpu/backend/backend-dispatched-backend.cpp
index cc879e51d04..03a037f1cbd 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-dispatched-backend.cpp
+++ b/ggml/src/ggml-virtgpu/backend/backend-dispatched-backend.cpp
@@ -7,9 +7,21 @@
 
 #include <cstdint>
 
+static uint32_t validate_graph_operation(size_t cgraph_size, uint32_t shmem_res_id, const char * operation) {
+    if (cgraph_size == 0) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Zero-size computation graph\n", operation);
+        return 1;
+    }
+
+    // place-holder: validate that the size of shmem_res_id is <= cgraph_size
+    // need to add another method in the Virgl->APIR callback interface
+    GGML_UNUSED(shmem_res_id);
+
+    return 0;  // Valid
+}
+
 uint32_t backend_backend_graph_compute(apir_encoder * enc, apir_decoder * dec, virgl_apir_context * ctx) {
     GGML_UNUSED(ctx);
-    GGML_UNUSED(enc);
 
     static bool async_backend_initialized = false;
     static bool async_backend;
@@ -34,10 +46,26 @@ uint32_t backend_backend_graph_compute(apir_encoder * enc, apir_decoder * dec, v
     size_t cgraph_size;
     apir_decode_size_t(dec, &cgraph_size);
 
+    if (validate_graph_operation(cgraph_size, shmem_res_id, __func__) != 0) {
+        apir_decoder_set_fatal(dec);
+        return 1;
+    }
+
     apir_decoder secondary_dec = apir_new_decoder((const char *) shmem_data, cgraph_size);
 
     ggml_cgraph * cgraph = apir_decode_ggml_cgraph(&secondary_dec, cgraph_size);
 
+    if (!cgraph || apir_decoder_get_fatal(&secondary_dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Failed to deserialize computation graph\n", __func__);
+        return 1;
+    }
+
+    if (cgraph->n_nodes < 0 || cgraph->n_leafs < 0) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid negative node/leaf count: nodes=%d leafs=%d\n", __func__,
+                       cgraph->n_nodes, cgraph->n_leafs);
+        return 1;
+    }
+
     ggml_status status;
 #if APIR_BACKEND_CHECK_SUPPORTS_OP == 1
     for (int idx = 0; idx < cgraph->n_nodes; idx++) {
@@ -45,7 +73,8 @@ uint32_t backend_backend_graph_compute(apir_encoder * enc, apir_decoder * dec, v
         if (dev->iface.supports_op(dev, op)) {
             continue;
         }
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Graph node %d (%s) not supported by the backend\n", idx, ggml_op_desc(op));
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Graph node %d (%s) not supported by the backend\n", __func__, idx,
+                       ggml_op_desc(op));
 
         status = GGML_STATUS_ABORTED;
         apir_encode_ggml_status(enc, &status);
@@ -53,9 +82,17 @@ uint32_t backend_backend_graph_compute(apir_encoder * enc, apir_decoder * dec, v
         return 0;
     }
 #endif
+
+    // Check if backend is properly initialized
+    if (!bck) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Backend not initialized (bck is null)\n", __func__);
+
+        return 1;
+    }
+
     status = bck->iface.graph_compute(bck, cgraph);
 
-    if (async_backend) {
+    if (async_backend && bck->iface.synchronize) {
         bck->iface.synchronize(bck);
     }
 
diff --git a/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer-type.cpp b/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer-type.cpp
index d55eec27610..c66dbaa9e8f 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer-type.cpp
+++ b/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer-type.cpp
@@ -85,7 +85,19 @@ uint32_t backend_buffer_type_get_alloc_size(apir_encoder * enc, apir_decoder * d
 
     const ggml_tensor * op = apir_decode_ggml_tensor_inplace(dec);
 
-    size_t value = buft->iface.get_alloc_size(buft, op);
+    // Check for decode error
+    if (op == nullptr) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Failed to decode tensor\n", __func__);
+        apir_decoder_set_fatal(dec);
+        return 1;
+    }
+
+    size_t value;
+    if (buft->iface.get_alloc_size) {
+        value = buft->iface.get_alloc_size(buft, op);
+    } else {
+        value = ggml_nbytes(op);  // Default fallback
+    }
 
     apir_encode_size_t(enc, &value);
 
diff --git a/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer.cpp b/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer.cpp
index 8cc063ff0a6..3ade8d99b4e 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer.cpp
+++ b/ggml/src/ggml-virtgpu/backend/backend-dispatched-buffer.cpp
@@ -6,11 +6,26 @@
 
 #include <cstdint>
 
+static uint32_t validate_buffer_operation(size_t offset, size_t size, const char * operation) {
+    // Only check for critical integer overflow - no arbitrary size limits
+    if (offset > SIZE_MAX - size) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Integer overflow in offset+size: %zu + %zu\n", operation, offset, size);
+        return 1;
+    }
+
+    return 0;  // Valid
+}
+
 uint32_t backend_buffer_get_base(apir_encoder * enc, apir_decoder * dec, virgl_apir_context * ctx) {
     GGML_UNUSED(ctx);
     ggml_backend_buffer_t buffer;
     buffer = apir_decode_ggml_buffer(dec);
 
+    if (!buffer || apir_decoder_get_fatal(dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid buffer handle from guest\n", __func__);
+        return 1;
+    }
+
     uintptr_t base = (uintptr_t) buffer->iface.get_base(buffer);
     apir_encode_uintptr_t(enc, &base);
 
@@ -24,6 +39,11 @@ uint32_t backend_buffer_set_tensor(apir_encoder * enc, apir_decoder * dec, virgl
     ggml_backend_buffer_t buffer;
     buffer = apir_decode_ggml_buffer(dec);
 
+    if (!buffer || apir_decoder_get_fatal(dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid buffer handle from guest\n", __func__);
+        return 1;
+    }
+
     ggml_tensor * tensor;
     // safe to remove the const qualifier here
     tensor = (ggml_tensor *) (uintptr_t) apir_decode_ggml_tensor(dec);
@@ -37,6 +57,10 @@ uint32_t backend_buffer_set_tensor(apir_encoder * enc, apir_decoder * dec, virgl
     size_t size;
     apir_decode_size_t(dec, &size);
 
+    if (validate_buffer_operation(offset, size, __func__) != 0) {
+        return 1;
+    }
+
     void * shmem_data = ctx->iface->get_shmem_ptr(ctx->ctx_id, shmem_res_id);
 
     if (!shmem_data) {
@@ -56,6 +80,11 @@ uint32_t backend_buffer_get_tensor(apir_encoder * enc, apir_decoder * dec, virgl
     ggml_backend_buffer_t buffer;
     buffer = apir_decode_ggml_buffer(dec);
 
+    if (!buffer || apir_decoder_get_fatal(dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid buffer handle from guest\n", __func__);
+        return 1;
+    }
+
     const ggml_tensor * tensor;
     // safe to remove the const qualifier here
     tensor = apir_decode_ggml_tensor(dec);
@@ -69,6 +98,10 @@ uint32_t backend_buffer_get_tensor(apir_encoder * enc, apir_decoder * dec, virgl
     size_t size;
     apir_decode_size_t(dec, &size);
 
+    if (validate_buffer_operation(offset, size, __func__) != 0) {
+        return 1;
+    }
+
     void * shmem_data = ctx->iface->get_shmem_ptr(ctx->ctx_id, shmem_res_id);
     if (!shmem_data) {
         GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Couldn't get the shmem addr from virgl\n", __func__);
@@ -86,6 +119,11 @@ uint32_t backend_buffer_cpy_tensor(apir_encoder * enc, apir_decoder * dec, virgl
     ggml_backend_buffer_t buffer;
     buffer = apir_decode_ggml_buffer(dec);
 
+    if (!buffer || apir_decoder_get_fatal(dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid buffer handle from guest\n", __func__);
+        return 1;
+    }
+
     const ggml_tensor * src;
     // safe to remove the const qualifier here
     src               = apir_decode_ggml_tensor(dec);
@@ -105,6 +143,11 @@ uint32_t backend_buffer_clear(apir_encoder * enc, apir_decoder * dec, virgl_apir
     ggml_backend_buffer_t buffer;
     buffer = apir_decode_ggml_buffer(dec);
 
+    if (!buffer || apir_decoder_get_fatal(dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid buffer handle from guest\n", __func__);
+        return 1;
+    }
+
     uint8_t value;
     apir_decode_uint8_t(dec, &value);
 
@@ -120,6 +163,11 @@ uint32_t backend_buffer_free_buffer(apir_encoder * enc, apir_decoder * dec, virg
     ggml_backend_buffer_t buffer;
     buffer = apir_decode_ggml_buffer(dec);
 
+    if (!buffer || apir_decoder_get_fatal(dec)) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Invalid buffer handle from guest\n", __func__);
+        return 1;
+    }
+
     if (!apir_untrack_backend_buffer(buffer)) {
         GGML_LOG_WARN(GGML_VIRTGPU_BCK "%s: unknown buffer %p\n", __func__, (void *) buffer);
         return 1;
diff --git a/ggml/src/ggml-virtgpu/backend/backend-dispatched.cpp b/ggml/src/ggml-virtgpu/backend/backend-dispatched.cpp
index 64152eef0d8..c80e4aabe1f 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-dispatched.cpp
+++ b/ggml/src/ggml-virtgpu/backend/backend-dispatched.cpp
@@ -1,6 +1,6 @@
 #include "backend-dispatched.h"
-#include "backend-virgl-apir.h"
 
+#include "backend-virgl-apir.h"
 #include "ggml-backend-impl.h"
 #include "ggml-backend.h"
 #include "ggml-impl.h"
@@ -28,19 +28,24 @@ uint32_t backend_dispatch_initialize(void * ggml_backend_reg_fct_p) {
         return APIR_BACKEND_INITIALIZE_BACKEND_REG_FAILED;
     }
 
-    if (!reg->iface.get_device_count(reg)) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: backend initialization failed: no device found\n", __func__);
+    size_t device_count = reg->iface.get_device_count(reg);
+    if (!device_count) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: no device found\n", __func__);
         return APIR_BACKEND_INITIALIZE_NO_DEVICE;
     }
 
     dev = reg->iface.get_device(reg, 0);
 
     if (!dev) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: backend initialization failed: no device received\n", __func__);
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: failed to get device\n", __func__);
         return APIR_BACKEND_INITIALIZE_NO_DEVICE;
     }
 
     bck = dev->iface.init_backend(dev, NULL);
+    if (!bck) {
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: backend initialization failed\n", __func__);
+        return APIR_BACKEND_INITIALIZE_BACKEND_INIT_FAILED;
+    }
 
     return APIR_BACKEND_INITIALIZE_SUCCESS;
 }
diff --git a/ggml/src/ggml-virtgpu/backend/backend-dispatched.gen.h b/ggml/src/ggml-virtgpu/backend/backend-dispatched.gen.h
index 481d7f3150d..3dc334e4ce4 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-dispatched.gen.h
+++ b/ggml/src/ggml-virtgpu/backend/backend-dispatched.gen.h
@@ -32,64 +32,6 @@ uint32_t backend_buffer_free_buffer(apir_encoder * enc, apir_decoder * dec, virg
 /* backend */
 uint32_t backend_backend_graph_compute(apir_encoder * enc, apir_decoder * dec, virgl_apir_context * ctx);
 
-static inline const char * backend_dispatch_command_name(ApirBackendCommandType type) {
-    switch (type) {
-        /* device */
-        case APIR_COMMAND_TYPE_DEVICE_GET_DEVICE_COUNT:
-            return "backend_device_get_device_count";
-        case APIR_COMMAND_TYPE_DEVICE_GET_COUNT:
-            return "backend_device_get_count";
-        case APIR_COMMAND_TYPE_DEVICE_GET_NAME:
-            return "backend_device_get_name";
-        case APIR_COMMAND_TYPE_DEVICE_GET_DESCRIPTION:
-            return "backend_device_get_description";
-        case APIR_COMMAND_TYPE_DEVICE_GET_TYPE:
-            return "backend_device_get_type";
-        case APIR_COMMAND_TYPE_DEVICE_GET_MEMORY:
-            return "backend_device_get_memory";
-        case APIR_COMMAND_TYPE_DEVICE_SUPPORTS_OP:
-            return "backend_device_supports_op";
-        case APIR_COMMAND_TYPE_DEVICE_GET_BUFFER_TYPE:
-            return "backend_device_get_buffer_type";
-        case APIR_COMMAND_TYPE_DEVICE_GET_PROPS:
-            return "backend_device_get_props";
-        case APIR_COMMAND_TYPE_DEVICE_BUFFER_FROM_PTR:
-            return "backend_device_buffer_from_ptr";
-        /* buffer-type */
-        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_NAME:
-            return "backend_buffer_type_get_name";
-        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_ALIGNMENT:
-            return "backend_buffer_type_get_alignment";
-        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_MAX_SIZE:
-            return "backend_buffer_type_get_max_size";
-        case APIR_COMMAND_TYPE_BUFFER_TYPE_IS_HOST:
-            return "backend_buffer_type_is_host (DEPRECATED)";
-        case APIR_COMMAND_TYPE_BUFFER_TYPE_ALLOC_BUFFER:
-            return "backend_buffer_type_alloc_buffer";
-        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_ALLOC_SIZE:
-            return "backend_buffer_type_get_alloc_size";
-        /* buffer */
-        case APIR_COMMAND_TYPE_BUFFER_GET_BASE:
-            return "backend_buffer_get_base";
-        case APIR_COMMAND_TYPE_BUFFER_SET_TENSOR:
-            return "backend_buffer_set_tensor";
-        case APIR_COMMAND_TYPE_BUFFER_GET_TENSOR:
-            return "backend_buffer_get_tensor";
-        case APIR_COMMAND_TYPE_BUFFER_CPY_TENSOR:
-            return "backend_buffer_cpy_tensor";
-        case APIR_COMMAND_TYPE_BUFFER_CLEAR:
-            return "backend_buffer_clear";
-        case APIR_COMMAND_TYPE_BUFFER_FREE_BUFFER:
-            return "backend_buffer_free_buffer";
-        /* backend */
-        case APIR_COMMAND_TYPE_BACKEND_GRAPH_COMPUTE:
-            return "backend_backend_graph_compute";
-
-        default:
-            return "unknown";
-    }
-}
-
 extern "C" {
 static const backend_dispatch_t apir_backend_dispatch_table[APIR_BACKEND_DISPATCH_TABLE_COUNT] = {
 
diff --git a/ggml/src/ggml-virtgpu/backend/backend-dispatched.h b/ggml/src/ggml-virtgpu/backend/backend-dispatched.h
index 10311631d4f..740ee9e3ffc 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-dispatched.h
+++ b/ggml/src/ggml-virtgpu/backend/backend-dispatched.h
@@ -1,5 +1,6 @@
 #pragma once
 
+// clang-format off
 #include <cstdint>
 #include <cstddef>
 
@@ -10,6 +11,7 @@
 #include "shared/apir_backend.h"
 #include "shared/apir_cs.h"
 #include "shared/apir_cs_ggml.h"
+// clang-format on
 
 #define GGML_VIRTGPU_BCK "ggml-virtgpu-backend: "
 
diff --git a/ggml/src/ggml-virtgpu/backend/backend-virgl-apir.h b/ggml/src/ggml-virtgpu/backend/backend-virgl-apir.h
index 44b347f853f..c65a01cdf9b 100644
--- a/ggml/src/ggml-virtgpu/backend/backend-virgl-apir.h
+++ b/ggml/src/ggml-virtgpu/backend/backend-virgl-apir.h
@@ -19,7 +19,7 @@ struct virgl_apir_callbacks {
 };
 
 extern "C" {
-ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct virgl_apir_callbacks *virgl_cbs);
+ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct virgl_apir_callbacks * virgl_cbs);
 void                      apir_backend_deinit(uint32_t virgl_ctx_id);
 uint32_t                  apir_backend_dispatcher(uint32_t               virgl_ctx_id,
                                                   virgl_apir_callbacks * virgl_cbs,
diff --git a/ggml/src/ggml-virtgpu/backend/backend.cpp b/ggml/src/ggml-virtgpu/backend/backend.cpp
index d93414a078b..535a05f3e69 100644
--- a/ggml/src/ggml-virtgpu/backend/backend.cpp
+++ b/ggml/src/ggml-virtgpu/backend/backend.cpp
@@ -1,6 +1,5 @@
 #include "backend-dispatched.h"
 #include "backend-virgl-apir.h"
-
 #include "shared/api_remoting.h"
 #include "shared/apir_backend.h"
 #include "shared/apir_cs.h"
@@ -17,10 +16,10 @@
 #define GGML_DEFAULT_BACKEND_REG "ggml_backend_init"
 
 static void * backend_library_handle = NULL;
-static FILE * apir_logfile = NULL;
+static FILE * apir_logfile           = NULL;
 
 static void log_to_file_callback(enum ggml_log_level level, const char * text, void * user_data) {
-    FILE * logfile = (FILE *)user_data;
+    FILE * logfile = (FILE *) user_data;
     fprintf(logfile, "[%d] %s", level, text);
     fflush(logfile);
 }
@@ -48,9 +47,9 @@ void apir_backend_deinit(uint32_t virgl_ctx_id) {
 }
 
 #define APIR_GGML_LIBRARY_PATH_KEY "ggml.library.path"
-#define APIR_GGML_LIBRARY_REG_KEY "ggml.library.reg"
+#define APIR_GGML_LIBRARY_REG_KEY  "ggml.library.reg"
 
-ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct virgl_apir_callbacks *virgl_cbs) {
+ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct virgl_apir_callbacks * virgl_cbs) {
     const char * dlsym_error;
 
     const char * apir_log_to_file = getenv(APIR_LLAMA_CPP_LOG_TO_FILE_ENV);
@@ -63,15 +62,13 @@ ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct
         }
     }
 
-    const char * library_name = virgl_cbs->get_config(virgl_ctx_id, APIR_GGML_LIBRARY_PATH_KEY);
+    const char * library_name      = virgl_cbs->get_config(virgl_ctx_id, APIR_GGML_LIBRARY_PATH_KEY);
     const char * virgl_library_reg = virgl_cbs->get_config(virgl_ctx_id, APIR_GGML_LIBRARY_REG_KEY);
-    const char * library_reg = virgl_library_reg ? virgl_library_reg : GGML_DEFAULT_BACKEND_REG;
+    const char * library_reg       = virgl_library_reg ? virgl_library_reg : GGML_DEFAULT_BACKEND_REG;
 
     if (!library_name) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK
-                       "%s: cannot open the GGML library: env var '%s' not defined\n",
-                       __func__, APIR_LLAMA_CPP_GGML_LIBRARY_PATH_ENV);
-
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: cannot open the GGML library: env var '%s' not defined\n", __func__,
+                       APIR_LLAMA_CPP_GGML_LIBRARY_PATH_ENV);
 
         return APIR_LOAD_LIBRARY_ENV_VAR_MISSING;
     }
@@ -79,16 +76,14 @@ ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct
     backend_library_handle = dlopen(library_name, RTLD_LAZY);
 
     if (!backend_library_handle) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK
-                       "%s: cannot open the GGML library: %s\n", __func__, dlerror());
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: cannot open the GGML library: %s\n", __func__, dlerror());
 
         return APIR_LOAD_LIBRARY_CANNOT_OPEN;
     }
 
     if (!library_reg) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK
-                       "%s: cannot register the GGML library: env var '%s' not defined\n",
-                       __func__, APIR_LLAMA_CPP_GGML_LIBRARY_REG_ENV);
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: cannot register the GGML library: env var '%s' not defined\n", __func__,
+                       APIR_LLAMA_CPP_GGML_LIBRARY_REG_ENV);
 
         return APIR_LOAD_LIBRARY_ENV_VAR_MISSING;
     }
@@ -96,11 +91,9 @@ ApirLoadLibraryReturnCode apir_backend_initialize(uint32_t virgl_ctx_id, struct
     void * ggml_backend_reg_fct = dlsym(backend_library_handle, library_reg);
     dlsym_error                 = dlerror();
     if (dlsym_error) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK
-                       "%s: cannot find the GGML backend registration symbol '%s' (from %s): %s\n",
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: cannot find the GGML backend registration symbol '%s' (from %s): %s\n",
                        __func__, library_reg, APIR_LLAMA_CPP_GGML_LIBRARY_REG_ENV, dlsym_error);
 
-
         return APIR_LOAD_LIBRARY_SYMBOL_MISSING;
     }
 
@@ -132,13 +125,12 @@ uint32_t apir_backend_dispatcher(uint32_t               virgl_ctx_id,
 
     virgl_apir_context ctx = {
         .ctx_id = virgl_ctx_id,
-        .iface = virgl_cbs,
+        .iface  = virgl_cbs,
     };
 
     if (cmd_type >= APIR_BACKEND_DISPATCH_TABLE_COUNT) {
-        GGML_LOG_ERROR(GGML_VIRTGPU_BCK
-                       "%s: Received an invalid dispatch index (%d >= %d)\n",
-                        __func__, cmd_type, APIR_BACKEND_DISPATCH_TABLE_COUNT);
+        GGML_LOG_ERROR(GGML_VIRTGPU_BCK "%s: Received an invalid dispatch index (%d >= %d)\n", __func__, cmd_type,
+                       APIR_BACKEND_DISPATCH_TABLE_COUNT);
         return APIR_BACKEND_FORWARD_INDEX_INVALID;
     }
 
diff --git a/ggml/src/ggml-virtgpu/backend/shared/api_remoting.h b/ggml/src/ggml-virtgpu/backend/shared/api_remoting.h
index f19a5d12d17..6bf97e8a3a2 100644
--- a/ggml/src/ggml-virtgpu/backend/shared/api_remoting.h
+++ b/ggml/src/ggml-virtgpu/backend/shared/api_remoting.h
@@ -16,28 +16,32 @@ enum ApirCommandType {
     APIR_COMMAND_TYPE_LOADLIBRARY = 1,
     APIR_COMMAND_TYPE_FORWARD     = 2,
 
-    APIR_COMMAND_TYPE_LENGTH      = 3,
+    APIR_COMMAND_TYPE_LENGTH = 3,
 };
 
 typedef uint64_t ApirCommandFlags;
 
 enum ApirLoadLibraryReturnCode {
     APIR_LOAD_LIBRARY_SUCCESS                        = 0,
+    // these error codes are returned by the Virglrenderer APIR component
     APIR_LOAD_LIBRARY_HYPERCALL_INITIALIZATION_ERROR = 1,
     APIR_LOAD_LIBRARY_ALREADY_LOADED                 = 2,
     APIR_LOAD_LIBRARY_ENV_VAR_MISSING                = 3,
     APIR_LOAD_LIBRARY_CANNOT_OPEN                    = 4,
     APIR_LOAD_LIBRARY_SYMBOL_MISSING                 = 5,
-    APIR_LOAD_LIBRARY_INIT_BASE_INDEX                = 6,  // anything above this is a APIR backend library initialization return code
+    // any value greater than this is an APIR *backend library* initialization return code
+    APIR_LOAD_LIBRARY_INIT_BASE_INDEX                = 6,
 };
 
 enum ApirForwardReturnCode {
-    APIR_FORWARD_SUCCESS         = 0,
-    APIR_FORWARD_NO_DISPATCH_FCT = 1,
-    APIR_FORWARD_TIMEOUT         = 2,
-
-    APIR_FORWARD_BASE_INDEX      = 3,  // anything above this is a APIR backend library forward return code
-} ;
+    APIR_FORWARD_SUCCESS                = 0,
+    // these error codes are returned by the Virglrenderer APIR component
+    APIR_FORWARD_NO_DISPATCH_FCT        = 1,
+    APIR_FORWARD_TIMEOUT                = 2,
+    APIR_FORWARD_FAILED_TO_SYNC_STREAMS = 3,
+    // any value greater than this index an APIR *backend library* forward return code
+    APIR_FORWARD_BASE_INDEX             = 4,
+};
 
 __attribute__((unused)) static inline const char * apir_command_name(ApirCommandType type) {
     switch (type) {
@@ -82,6 +86,7 @@ __attribute__((unused)) static const char * apir_forward_error(ApirForwardReturn
     APIR_FORWARD_ERROR(APIR_FORWARD_SUCCESS);
     APIR_FORWARD_ERROR(APIR_FORWARD_NO_DISPATCH_FCT);
     APIR_FORWARD_ERROR(APIR_FORWARD_TIMEOUT);
+    APIR_FORWARD_ERROR(APIR_FORWARD_FAILED_TO_SYNC_STREAMS);
     APIR_FORWARD_ERROR(APIR_FORWARD_BASE_INDEX);
 
     return "Unknown APIR_COMMAND_TYPE_FORWARD error";
diff --git a/ggml/src/ggml-virtgpu/backend/shared/apir_backend.gen.h b/ggml/src/ggml-virtgpu/backend/shared/apir_backend.gen.h
index d214b6f2a90..520ac9c7299 100644
--- a/ggml/src/ggml-virtgpu/backend/shared/apir_backend.gen.h
+++ b/ggml/src/ggml-virtgpu/backend/shared/apir_backend.gen.h
@@ -34,3 +34,61 @@ typedef enum ApirBackendCommandType {
     // last command_type index + 1
     APIR_BACKEND_DISPATCH_TABLE_COUNT = 23,
 } ApirBackendCommandType;
+
+static inline const char * apir_dispatch_command_name(ApirBackendCommandType type) {
+    switch (type) {
+        /* device */
+        case APIR_COMMAND_TYPE_DEVICE_GET_DEVICE_COUNT:
+            return "device_get_device_count";
+        case APIR_COMMAND_TYPE_DEVICE_GET_COUNT:
+            return "device_get_count";
+        case APIR_COMMAND_TYPE_DEVICE_GET_NAME:
+            return "device_get_name";
+        case APIR_COMMAND_TYPE_DEVICE_GET_DESCRIPTION:
+            return "device_get_description";
+        case APIR_COMMAND_TYPE_DEVICE_GET_TYPE:
+            return "device_get_type";
+        case APIR_COMMAND_TYPE_DEVICE_GET_MEMORY:
+            return "device_get_memory";
+        case APIR_COMMAND_TYPE_DEVICE_SUPPORTS_OP:
+            return "device_supports_op";
+        case APIR_COMMAND_TYPE_DEVICE_GET_BUFFER_TYPE:
+            return "device_get_buffer_type";
+        case APIR_COMMAND_TYPE_DEVICE_GET_PROPS:
+            return "device_get_props";
+        case APIR_COMMAND_TYPE_DEVICE_BUFFER_FROM_PTR:
+            return "device_buffer_from_ptr";
+        /* buffer-type */
+        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_NAME:
+            return "buffer_type_get_name";
+        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_ALIGNMENT:
+            return "buffer_type_get_alignment";
+        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_MAX_SIZE:
+            return "buffer_type_get_max_size";
+        case APIR_COMMAND_TYPE_BUFFER_TYPE_IS_HOST:
+            return "buffer_type_is_host";
+        case APIR_COMMAND_TYPE_BUFFER_TYPE_ALLOC_BUFFER:
+            return "buffer_type_alloc_buffer";
+        case APIR_COMMAND_TYPE_BUFFER_TYPE_GET_ALLOC_SIZE:
+            return "buffer_type_get_alloc_size";
+        /* buffer */
+        case APIR_COMMAND_TYPE_BUFFER_GET_BASE:
+            return "buffer_get_base";
+        case APIR_COMMAND_TYPE_BUFFER_SET_TENSOR:
+            return "buffer_set_tensor";
+        case APIR_COMMAND_TYPE_BUFFER_GET_TENSOR:
+            return "buffer_get_tensor";
+        case APIR_COMMAND_TYPE_BUFFER_CPY_TENSOR:
+            return "buffer_cpy_tensor";
+        case APIR_COMMAND_TYPE_BUFFER_CLEAR:
+            return "buffer_clear";
+        case APIR_COMMAND_TYPE_BUFFER_FREE_BUFFER:
+            return "buffer_free_buffer";
+        /* backend */
+        case APIR_COMMAND_TYPE_BACKEND_GRAPH_COMPUTE:
+            return "backend_graph_compute";
+
+        default:
+            return "unknown";
+    }
+}
diff --git a/ggml/src/ggml-virtgpu/backend/shared/apir_backend.h b/ggml/src/ggml-virtgpu/backend/shared/apir_backend.h
index f3efa52c721..da1e21b5b2f 100644
--- a/ggml/src/ggml-virtgpu/backend/shared/apir_backend.h
+++ b/ggml/src/ggml-virtgpu/backend/shared/apir_backend.h
@@ -14,7 +14,7 @@
 #define APIR_BACKEND_INITIALIZE_BACKEND_REG_FAILED          6
 #define APIR_BACKEND_INITIALIZE_ALREADY_INITED              7
 #define APIR_BACKEND_INITIALIZE_NO_DEVICE                   8
-
+#define APIR_BACKEND_INITIALIZE_BACKEND_INIT_FAILED         9
 
 // new entries here need to be added to the apir_backend_initialize_error function below
 
@@ -39,6 +39,10 @@ static const char * apir_backend_initialize_error(int code) {
     APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_MISSING_BACKEND_SYMBOLS);
     APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_MISSING_GGML_SYMBOLS);
     APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_BACKEND_FAILED);
+    APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_BACKEND_REG_FAILED);
+    APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_ALREADY_INITED);
+    APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_NO_DEVICE);
+    APIR_BACKEND_INITIALIZE_ERROR(APIR_BACKEND_INITIALIZE_BACKEND_INIT_FAILED);
 
     return "Unknown APIR_BACKEND_INITIALIZE error:/";
 
diff --git a/ggml/src/ggml-virtgpu/backend/shared/apir_cs.h b/ggml/src/ggml-virtgpu/backend/shared/apir_cs.h
index 1bc3a5f685b..64bf2ec9609 100644
--- a/ggml/src/ggml-virtgpu/backend/shared/apir_cs.h
+++ b/ggml/src/ggml-virtgpu/backend/shared/apir_cs.h
@@ -13,7 +13,6 @@ struct apir_encoder {
     const char * start;
     const char * end;
     bool         fatal;
-
 };
 
 struct apir_decoder {
@@ -28,8 +27,8 @@ struct apir_decoder {
 
 static apir_decoder apir_new_decoder(const char * ptr, size_t size) {
     apir_decoder dec = {
-        .cur = ptr,
-        .end = ptr + size,
+        .cur   = ptr,
+        .end   = ptr + size,
         .fatal = false,
     };
 
@@ -79,10 +78,7 @@ static inline bool apir_decoder_get_fatal(const apir_decoder * dec) {
  * encode peek
  */
 
-static inline bool apir_decoder_peek_internal(apir_decoder * dec,
-                                              size_t                size,
-                                              void *                val,
-                                              size_t                val_size) {
+static inline bool apir_decoder_peek_internal(apir_decoder * dec, size_t size, void * val, size_t val_size) {
     assert(val_size <= size);
 
     if (unlikely(size > (size_t) (dec->end - dec->cur))) {
@@ -332,8 +328,7 @@ static inline void apir_decode_char_array(apir_decoder * dec, char * val, size_t
 static inline void * apir_decoder_alloc_array(size_t size, size_t count) {
     size_t alloc_size;
     if (unlikely(__builtin_mul_overflow(size, count, &alloc_size))) {
-        GGML_LOG_ERROR("%s: overflow in array allocation of %zu * %zu bytes\n",
-                       __func__, size, count);
+        GGML_LOG_ERROR("%s: overflow in array allocation of %zu * %zu bytes\n", __func__, size, count);
         return NULL;
     }
 
@@ -352,20 +347,19 @@ static inline void apir_decode_bool_t(apir_decoder * dec, bool * val) {
 
 /* apir_buffer_type_host_handle_t */
 
-static inline void apir_encode_apir_buffer_type_host_handle_t(apir_encoder *                  enc,
+static inline void apir_encode_apir_buffer_type_host_handle_t(apir_encoder *                         enc,
                                                               const apir_buffer_type_host_handle_t * val) {
     apir_encode(enc, sizeof(apir_buffer_type_host_handle_t), val, sizeof(apir_buffer_type_host_handle_t));
 }
 
-static inline void apir_decode_apir_buffer_type_host_handle_t(apir_decoder *            dec,
+static inline void apir_decode_apir_buffer_type_host_handle_t(apir_decoder *                   dec,
                                                               apir_buffer_type_host_handle_t * val) {
     apir_decode(dec, sizeof(apir_buffer_type_host_handle_t), val, sizeof(apir_buffer_type_host_handle_t));
 }
 
 /* apir_buffer_host_handle_t */
 
-static inline void apir_encode_apir_buffer_host_handle_t(apir_encoder *             enc,
-                                                         const apir_buffer_host_handle_t * val) {
+static inline void apir_encode_apir_buffer_host_handle_t(apir_encoder * enc, const apir_buffer_host_handle_t * val) {
     apir_encode(enc, sizeof(apir_buffer_host_handle_t), val, sizeof(apir_buffer_host_handle_t));
 }
 
diff --git a/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h b/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h
index 289f4b77d74..fabe3e401ca 100644
--- a/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h
+++ b/ggml/src/ggml-virtgpu/backend/shared/apir_cs_ggml.h
@@ -1,11 +1,10 @@
-#include "ggml-impl.h"
 #include "apir_cs.h"
 #include "apir_cs_rpc.h"
+#include "ggml-impl.h"
 
 // ggml_buffer_to_apir_host_handle(ggml_backend_buffer_t buffer);
 
-static inline void apir_encode_ggml_buffer_host_handle(apir_encoder *                    enc,
-                                                       const apir_buffer_host_handle_t * handle);
+static inline void apir_encode_ggml_buffer_host_handle(apir_encoder * enc, const apir_buffer_host_handle_t * handle);
 
 static inline ggml_backend_buffer_t apir_decode_ggml_buffer(apir_decoder * dec);
 
@@ -22,8 +21,7 @@ static inline apir_rpc_tensor * apir_decode_apir_rpc_tensor_inplace(apir_decoder
     return (apir_rpc_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, apir_rpc_tensor_size);
 }
 
-static inline apir_rpc_tensor * apir_decode_apir_rpc_tensor_array_inplace(apir_decoder * dec,
-                                                                          uint32_t       n_tensors) {
+static inline apir_rpc_tensor * apir_decode_apir_rpc_tensor_array_inplace(apir_decoder * dec, uint32_t n_tensors) {
     size_t apir_rpc_tensor_size = sizeof(apir_rpc_tensor) * n_tensors;
 
     return (apir_rpc_tensor *) (uintptr_t) apir_decoder_use_inplace(dec, apir_rpc_tensor_size);
@@ -45,9 +43,9 @@ static inline const ggml_tensor * apir_decode_ggml_tensor(apir_decoder * dec) {
     }
 
     ggml_init_params params{
-        /*.mem_size   =*/ ggml_tensor_overhead(),
-        /*.mem_buffer =*/ NULL,
-        /*.no_alloc   =*/ true,
+        /*.mem_size   =*/ggml_tensor_overhead(),
+        /*.mem_buffer =*/NULL,
+        /*.no_alloc   =*/true,
     };
 
     ggml_context * ctx = ggml_init(params);
@@ -105,6 +103,19 @@ static inline ggml_backend_buffer_t apir_decode_ggml_buffer(apir_decoder * dec)
 
     apir_decoder_read(dec, buffer_ptr_size, &buffer, buffer_ptr_size);
 
+    // SECURITY: Validate buffer handle against tracked buffers to prevent
+    // guest VM from providing arbitrary host memory addresses
+    if (buffer) {
+        extern std::unordered_set<ggml_backend_buffer_t> backend_buffers;
+        if (backend_buffers.find(buffer) == backend_buffers.end()) {
+            GGML_LOG_WARN("ggml-virtgpu-backend: %s: Invalid buffer handle from guest: %p\n", __func__,
+                          (void *) buffer);
+            // Set fatal flag to prevent further processing with invalid handle
+            apir_decoder_set_fatal(dec);
+            return NULL;
+        }
+    }
+
     return buffer;
 }
 
diff --git a/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h b/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h
index f6817989528..4cb2f047d1e 100644
--- a/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h
+++ b/ggml/src/ggml-virtgpu/backend/shared/apir_cs_rpc.h
@@ -1,3 +1,6 @@
+#pragma once
+
+// clang-format off
 #include "ggml.h"
 #include "ggml-backend-impl.h"
 
@@ -5,6 +8,7 @@
 #include <unordered_set>
 #include <vector>
 #include <cstdint>
+// clang-format on
 
 // ggml_tensor is serialized into apir_rpc_tensor
 struct apir_rpc_tensor {
diff --git a/ggml/src/ggml-virtgpu/ggml-backend-buffer-type.cpp b/ggml/src/ggml-virtgpu/ggml-backend-buffer-type.cpp
index c493a8e2ae3..8fa20ff43bd 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend-buffer-type.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend-buffer-type.cpp
@@ -34,6 +34,7 @@ static ggml_backend_buffer_t ggml_backend_remoting_buffer_type_alloc_buffer(ggml
 static const char * ggml_backend_remoting_buffer_type_get_name(ggml_backend_buffer_type_t buft) {
     virtgpu * gpu = BUFT_TO_GPU(buft);
 
+    // Return the prefixed name that was built once during initialization
     return gpu->cached_buffer_type.name;
 }
 
@@ -53,9 +54,8 @@ static size_t ggml_backend_remoting_buffer_type_get_alloc_size(ggml_backend_buff
                                                                const ggml_tensor *        tensor) {
     virtgpu * gpu = BUFT_TO_GPU(buft);
 
-    if (tensor->buffer == NULL
-        || !tensor->buffer->context
-        || !buft->device->iface.supports_buft(buft->device, tensor->buffer->buft)) {
+    if (tensor->buffer == NULL || !tensor->buffer->context ||
+        !buft->device->iface.supports_buft(buft->device, tensor->buffer->buft)) {
         return ggml_nbytes(tensor);
     }
 
diff --git a/ggml/src/ggml-virtgpu/ggml-backend-device.cpp b/ggml/src/ggml-virtgpu/ggml-backend-device.cpp
index c7d2881058b..ec8156bb868 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend-device.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend-device.cpp
@@ -3,6 +3,7 @@
 static const char * ggml_backend_remoting_device_get_name(ggml_backend_dev_t dev) {
     virtgpu * gpu = DEV_TO_GPU(dev);
 
+    // Return the prefixed name that was built once during initialization
     return gpu->cached_device_info.name;
 }
 
@@ -22,7 +23,7 @@ static enum ggml_backend_dev_type ggml_backend_remoting_device_get_type(ggml_bac
 static void ggml_backend_remoting_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
     virtgpu * gpu = DEV_TO_GPU(dev);
 
-    *free = gpu->cached_device_info.memory_free;
+    *free  = gpu->cached_device_info.memory_free;
     *total = gpu->cached_device_info.memory_total;
 }
 
@@ -72,7 +73,7 @@ static void ggml_backend_remoting_device_get_props(ggml_backend_dev_t dev, ggml_
 ggml_backend_buffer_type_t ggml_backend_remoting_device_get_buffer_type(ggml_backend_dev_t dev) {
     virtgpu * gpu = DEV_TO_GPU(dev);
 
-    static std::atomic<bool> initialized = false;
+    static std::atomic<bool>        initialized = false;
     static ggml_backend_buffer_type buft;
 
     if (!initialized) {
@@ -95,7 +96,7 @@ ggml_backend_buffer_type_t ggml_backend_remoting_device_get_buffer_type(ggml_bac
 static ggml_backend_buffer_type_t ggml_backend_remoting_device_get_buffer_from_ptr_type(ggml_backend_dev_t dev) {
     virtgpu * gpu = DEV_TO_GPU(dev);
 
-    static std::atomic<bool> initialized = false;
+    static std::atomic<bool>        initialized = false;
     static ggml_backend_buffer_type buft;
 
     if (!initialized) {
diff --git a/ggml/src/ggml-virtgpu/ggml-backend-reg.cpp b/ggml/src/ggml-virtgpu/ggml-backend-reg.cpp
index 2d02cfec1d3..a4df5956aa3 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend-reg.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend-reg.cpp
@@ -7,8 +7,8 @@
 void ggml_virtgpu_cleanup(virtgpu * gpu);
 
 static virtgpu * apir_initialize() {
-    static virtgpu *         gpu          = NULL;
-    static std::atomic<bool> initialized  = false;
+    static virtgpu *         gpu         = NULL;
+    static std::atomic<bool> initialized = false;
 
     if (initialized) {
         // fast track
@@ -31,29 +31,53 @@ static virtgpu * apir_initialize() {
         }
 
         // Pre-fetch and cache all device information, it will not change
-        gpu->cached_device_info.description  = apir_device_get_description(gpu);
+        gpu->cached_device_info.description = apir_device_get_description(gpu);
         if (!gpu->cached_device_info.description) {
             GGML_ABORT(GGML_VIRTGPU "%s: failed to initialize the virtgpu device description", __func__);
         }
-        gpu->cached_device_info.name         = apir_device_get_name(gpu);
-        if (!gpu->cached_device_info.name) {
-            GGML_ABORT(GGML_VIRTGPU "%s: failed to initialize the virtgpu device name", __func__);
-        }
         gpu->cached_device_info.device_count = apir_device_get_count(gpu);
         gpu->cached_device_info.type         = apir_device_get_type(gpu);
 
-        apir_device_get_memory(gpu,
-                              &gpu->cached_device_info.memory_free,
-                              &gpu->cached_device_info.memory_total);
+        {
+            // Get the remote name and create prefixed version
+            char * rmt_device_name = apir_device_get_name(gpu);
+            if (!rmt_device_name) {
+                GGML_ABORT(GGML_VIRTGPU "%s: failed to get the virtgpu device name", __func__);
+            }
+
+            size_t device_name_len       = strlen(rmt_device_name) + 11;  // "[virtgpu] " + null terminator
+            gpu->cached_device_info.name = (char *) malloc(device_name_len);
+            if (!gpu->cached_device_info.name) {
+                free(rmt_device_name);
+                GGML_ABORT(GGML_VIRTGPU "%s: failed to allocate memory for prefixed device name", __func__);
+            }
+            snprintf(gpu->cached_device_info.name, device_name_len, "[virtgpu] %s", rmt_device_name);
+            free(rmt_device_name);
+        }
+
+        apir_device_get_memory(gpu, &gpu->cached_device_info.memory_free, &gpu->cached_device_info.memory_total);
 
         apir_buffer_type_host_handle_t buft_host_handle = apir_device_get_buffer_type(gpu);
         gpu->cached_buffer_type.host_handle             = buft_host_handle;
-        gpu->cached_buffer_type.name                    = apir_buffer_type_get_name(gpu, buft_host_handle);
-        if (!gpu->cached_buffer_type.name) {
-            GGML_ABORT(GGML_VIRTGPU "%s: failed to initialize the virtgpu buffer type name", __func__);
+        {
+            // Get the remote name and create prefixed version
+            char * rmt_name = apir_buffer_type_get_name(gpu, buft_host_handle);
+            if (!rmt_name) {
+                GGML_ABORT(GGML_VIRTGPU "%s: failed to get the virtgpu buffer type name", __func__);
+            }
+
+            size_t prefixed_len          = strlen(rmt_name) + 11;  // "[virtgpu] " + null terminator
+            gpu->cached_buffer_type.name = (char *) malloc(prefixed_len);
+            if (!gpu->cached_buffer_type.name) {
+                free(rmt_name);
+                GGML_ABORT(GGML_VIRTGPU "%s: failed to allocate memory for prefixed buffer type name", __func__);
+            }
+            snprintf(gpu->cached_buffer_type.name, prefixed_len, "[virtgpu] %s", rmt_name);
+            free(rmt_name);
         }
-        gpu->cached_buffer_type.alignment               = apir_buffer_type_get_alignment(gpu, buft_host_handle);
-        gpu->cached_buffer_type.max_size                = apir_buffer_type_get_max_size(gpu, buft_host_handle);
+
+        gpu->cached_buffer_type.alignment = apir_buffer_type_get_alignment(gpu, buft_host_handle);
+        gpu->cached_buffer_type.max_size  = apir_buffer_type_get_max_size(gpu, buft_host_handle);
 
         initialized = true;
     }
@@ -98,7 +122,7 @@ static void ggml_backend_remoting_reg_init_devices(ggml_backend_reg_t reg) {
     static std::atomic<bool> initialized = false;
 
     if (initialized) {
-        return; // fast track
+        return;  // fast track
     }
 
     {
diff --git a/ggml/src/ggml-virtgpu/ggml-backend.cpp b/ggml/src/ggml-virtgpu/ggml-backend.cpp
index 5cd6c0c0608..a63ee2b9d2f 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend.cpp
@@ -1,5 +1,5 @@
-#include "ggml-remoting.h"
 #include "../../include/ggml-virtgpu.h"
+#include "ggml-remoting.h"
 
 static const char * ggml_backend_remoting_get_name(ggml_backend_t backend) {
     UNUSED(backend);
diff --git a/ggml/src/ggml-virtgpu/ggml-remoting.h b/ggml/src/ggml-virtgpu/ggml-remoting.h
index 08766408676..4f70326bee2 100644
--- a/ggml/src/ggml-virtgpu/ggml-remoting.h
+++ b/ggml/src/ggml-virtgpu/ggml-remoting.h
@@ -9,7 +9,7 @@
 #include <string>
 
 #define GGML_VIRTGPU_NAME "ggml-virtgpu"
-#define GGML_VIRTGPU "ggml-virtgpu: "
+#define GGML_VIRTGPU      "ggml-virtgpu: "
 
 // USE_ALWAYS_TRUE_SUPPORTS_OP: 1 is fast, 0 avoid micro-benchmark crashes
 
diff --git a/ggml/src/ggml-virtgpu/include/apir_hw.h b/ggml/src/ggml-virtgpu/include/apir_hw.h
index 33af045ca2b..7d6ea2265db 100644
--- a/ggml/src/ggml-virtgpu/include/apir_hw.h
+++ b/ggml/src/ggml-virtgpu/include/apir_hw.h
@@ -3,7 +3,7 @@
 #include <stdint.h>
 
 struct virgl_renderer_capset_apir {
-   uint32_t apir_version;
-   uint32_t supports_blob_resources;
-   uint32_t reserved[4];           // For future expansion
+    uint32_t apir_version;
+    uint32_t supports_blob_resources;
+    uint32_t reserved[4];  // For future expansion
 };
diff --git a/ggml/src/ggml-virtgpu/regenerate_remoting.py b/ggml/src/ggml-virtgpu/regenerate_remoting.py
index aeb48a4087e..dae75fd1c80 100755
--- a/ggml/src/ggml-virtgpu/regenerate_remoting.py
+++ b/ggml/src/ggml-virtgpu/regenerate_remoting.py
@@ -145,8 +145,31 @@ def generate_apir_backend_header(self) -> str:
         enum_lines.append(f"  APIR_BACKEND_DISPATCH_TABLE_COUNT = {total_count},")
         enum_lines.append("} ApirBackendCommandType;")
 
+        # Generate function name mapping
+        func_lines = []
+        func_lines.append("static inline const char * apir_dispatch_command_name(ApirBackendCommandType type) {")
+        func_lines.append("    switch (type) {")
+
+        current_group = None
+        for func in functions:
+            # Add comment for new group
+            if func['group_name'] != current_group:
+                func_lines.append(f"        /* {func['group_description']} */")
+                current_group = func['group_name']
+
+            # Generate clean function name without backend_ prefix
+            clean_name = f"{func['group_name']}_{func['function_name']}"
+            func_lines.append(f"        case {func['enum_name']}:")
+            func_lines.append(f"            return \"{clean_name}\";")
+
+        func_lines.append("")
+        func_lines.append("        default:")
+        func_lines.append("            return \"unknown\";")
+        func_lines.append("    }")
+        func_lines.append("}")
+
         # Full header template
-        header_content = NL.join(enum_lines) + "\n"
+        header_content = NL.join(enum_lines) + "\n\n" + NL.join(func_lines) + "\n"
 
         return header_content
 
@@ -170,19 +193,6 @@ def generate_backend_dispatched_header(self) -> str:
 
             decl_lines.append(f"{signature} {func['backend_function']}({params});")
 
-        # Switch cases
-        switch_lines = []
-        current_group = None
-
-        for func in functions:
-            if func['group_name'] != current_group:
-                switch_lines.append(f"  /* {func['group_description']} */")
-                current_group = func['group_name']
-
-            deprecated = " (DEPRECATED)" if func['deprecated'] else ""
-
-            switch_lines.append(f"  case {func['enum_name']}: return \"{func['backend_function']}{deprecated}\";")
-
         # Dispatch table
         table_lines = []
         current_group = None
@@ -201,15 +211,6 @@ def generate_backend_dispatched_header(self) -> str:
 
 {NL.join(decl_lines)}
 
-static inline const char *backend_dispatch_command_name(ApirBackendCommandType type)
-{{
-  switch (type) {{
-{NL.join(switch_lines)}
-
-  default: return "unknown";
-  }}
-}}
-
 extern "C" {{
 static const backend_dispatch_t apir_backend_dispatch_table[APIR_BACKEND_DISPATCH_TABLE_COUNT] = {{
   {NL.join(table_lines)}
diff --git a/ggml/src/ggml-virtgpu/virtgpu-forward-backend.cpp b/ggml/src/ggml-virtgpu/virtgpu-forward-backend.cpp
index 07d9a668496..4593690c638 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-forward-backend.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu-forward-backend.cpp
@@ -17,8 +17,8 @@ ggml_status apir_backend_graph_compute(virtgpu * gpu, ggml_cgraph * cgraph) {
     size_t               cgraph_size = apir_serialize_ggml_cgraph(cgraph, cgraph_data);
 
     virtgpu_shmem   temp_shmem;  // Local storage for large buffers
-    virtgpu_shmem * shmem = &temp_shmem;
-    bool using_shared_shmem = false;
+    virtgpu_shmem * shmem              = &temp_shmem;
+    bool            using_shared_shmem = false;
 
     if (cgraph_size <= gpu->data_shmem.mmap_size) {
         // Lock mutex before using shared data_shmem buffer
@@ -26,7 +26,7 @@ ggml_status apir_backend_graph_compute(virtgpu * gpu, ggml_cgraph * cgraph) {
             GGML_ABORT(GGML_VIRTGPU "%s: Failed to lock data_shmem mutex", __func__);
         }
         using_shared_shmem = true;
-        shmem = &gpu->data_shmem;
+        shmem              = &gpu->data_shmem;
     } else if (virtgpu_shmem_create(gpu, cgraph_size, shmem)) {
         GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate the guest-host shared buffer", __func__);
     }
diff --git a/ggml/src/ggml-virtgpu/virtgpu-forward-buffer-type.cpp b/ggml/src/ggml-virtgpu/virtgpu-forward-buffer-type.cpp
index cab74fd1707..38f8ec945e0 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-forward-buffer-type.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu-forward-buffer-type.cpp
@@ -62,7 +62,9 @@ size_t apir_buffer_type_get_max_size(virtgpu * gpu, apir_buffer_type_host_handle
     return max_size;
 }
 
-apir_buffer_context_t apir_buffer_type_alloc_buffer(virtgpu * gpu, apir_buffer_type_host_handle_t host_handle, size_t size) {
+apir_buffer_context_t apir_buffer_type_alloc_buffer(virtgpu *                      gpu,
+                                                    apir_buffer_type_host_handle_t host_handle,
+                                                    size_t                         size) {
     apir_encoder *        encoder;
     apir_decoder *        decoder;
     ApirForwardReturnCode ret;
@@ -84,7 +86,9 @@ apir_buffer_context_t apir_buffer_type_alloc_buffer(virtgpu * gpu, apir_buffer_t
     return buffer_context;
 }
 
-size_t apir_buffer_type_get_alloc_size(virtgpu * gpu, apir_buffer_type_host_handle_t host_handle, const ggml_tensor * op) {
+size_t apir_buffer_type_get_alloc_size(virtgpu *                      gpu,
+                                       apir_buffer_type_host_handle_t host_handle,
+                                       const ggml_tensor *            op) {
     apir_encoder *        encoder;
     apir_decoder *        decoder;
     ApirForwardReturnCode ret;
diff --git a/ggml/src/ggml-virtgpu/virtgpu-forward-buffer.cpp b/ggml/src/ggml-virtgpu/virtgpu-forward-buffer.cpp
index 86eee358cf4..228284f4a42 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-forward-buffer.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu-forward-buffer.cpp
@@ -35,8 +35,8 @@ void apir_buffer_set_tensor(virtgpu *               gpu,
     apir_encode_ggml_tensor(encoder, tensor);
 
     virtgpu_shmem   temp_shmem;  // Local storage for large buffers
-    virtgpu_shmem * shmem = &temp_shmem;
-    bool using_shared_shmem = false;
+    virtgpu_shmem * shmem              = &temp_shmem;
+    bool            using_shared_shmem = false;
 
     if (size <= gpu->data_shmem.mmap_size) {
         // Lock mutex before using shared data_shmem buffer
@@ -44,7 +44,7 @@ void apir_buffer_set_tensor(virtgpu *               gpu,
             GGML_ABORT(GGML_VIRTGPU "%s: Failed to lock data_shmem mutex", __func__);
         }
         using_shared_shmem = true;
-        shmem = &gpu->data_shmem;
+        shmem              = &gpu->data_shmem;
 
     } else if (virtgpu_shmem_create(gpu, size, shmem)) {
         GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate the guest-host shared buffer", __func__);
@@ -86,8 +86,8 @@ void apir_buffer_get_tensor(virtgpu *               gpu,
     apir_encode_ggml_tensor(encoder, tensor);
 
     virtgpu_shmem   temp_shmem;  // Local storage for large buffers
-    virtgpu_shmem * shmem = &temp_shmem;
-    bool using_shared_shmem = false;
+    virtgpu_shmem * shmem              = &temp_shmem;
+    bool            using_shared_shmem = false;
 
     if (size <= gpu->data_shmem.mmap_size) {
         // Lock mutex before using shared data_shmem buffer
@@ -95,7 +95,7 @@ void apir_buffer_get_tensor(virtgpu *               gpu,
             GGML_ABORT(GGML_VIRTGPU "%s: Failed to lock data_shmem mutex", __func__);
         }
         using_shared_shmem = true;
-        shmem = &gpu->data_shmem;
+        shmem              = &gpu->data_shmem;
 
     } else if (virtgpu_shmem_create(gpu, size, shmem)) {
         GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate the guest-host shared buffer", __func__);
diff --git a/ggml/src/ggml-virtgpu/virtgpu-forward-device.cpp b/ggml/src/ggml-virtgpu/virtgpu-forward-device.cpp
index 4b6b8f527be..9f513c138dd 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-forward-device.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu-forward-device.cpp
@@ -26,7 +26,7 @@ char * apir_device_get_name(virtgpu * gpu) {
     REMOTE_CALL(gpu, encoder, decoder, ret);
 
     const size_t string_size = apir_decode_array_size_unchecked(decoder);
-    char            * string = (char *) apir_decoder_alloc_array(sizeof(char), string_size);
+    char *       string      = (char *) apir_decoder_alloc_array(sizeof(char), string_size);
     if (!string) {
         GGML_LOG_ERROR(GGML_VIRTGPU "%s: Could not allocate the device name buffer\n", __func__);
         return NULL;
@@ -173,7 +173,7 @@ apir_buffer_context_t apir_device_buffer_from_ptr(virtgpu * gpu, size_t size, si
     REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_DEVICE_BUFFER_FROM_PTR);
 
     if (virtgpu_shmem_create(gpu, size, &buffer_context.shmem)) {
-        GGML_ABORT(GGML_VIRTGPU "Couldn't allocate the guest-host shared buffer");
+        GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate %ldb of guest-host shared buffer", __func__, size);
     }
 
     apir_encode_virtgpu_shmem_res_id(encoder, buffer_context.shmem.res_id);
diff --git a/ggml/src/ggml-virtgpu/virtgpu-forward-impl.h b/ggml/src/ggml-virtgpu/virtgpu-forward-impl.h
index f23c75bb968..4d0b6e05c74 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-forward-impl.h
+++ b/ggml/src/ggml-virtgpu/virtgpu-forward-impl.h
@@ -1,29 +1,36 @@
-#include "virtgpu.h"
+#pragma once
 
+// clang-format off
+#include "virtgpu.h"
 #include "ggml-remoting.h"
 #include "backend/shared/apir_backend.h"
 #include "backend/shared/apir_cs_ggml.h"
-
 #include "ggml-backend-impl.h"
+// clang-format on
 
-#define REMOTE_CALL_PREPARE(gpu_dev_name, encoder_name, apir_command_type__)                               \
-    do {                                                                                                   \
-        int32_t forward_flag = (int32_t) apir_command_type__;                                              \
-        encoder_name         = remote_call_prepare(gpu_dev_name, APIR_COMMAND_TYPE_FORWARD, forward_flag); \
-        if (!encoder_name) {                                                                               \
-            GGML_ABORT(GGML_VIRTGPU "%s: failed to prepare the remote call encoder", __func__);                       \
-        }                                                                                                  \
+#define REMOTE_CALL_PREPARE(gpu_dev_name, encoder_name, apir_command_type__)                                           \
+    int32_t      REMOTE_CALL_PREPARE_forward_flag = (int32_t) apir_command_type__;                                     \
+    const char * REMOTE_CALL_PREPARE_command_name = apir_dispatch_command_name(apir_command_type__);                   \
+    do {                                                                                                               \
+        encoder_name = remote_call_prepare(gpu_dev_name, APIR_COMMAND_TYPE_FORWARD, REMOTE_CALL_PREPARE_forward_flag); \
+        if (!encoder_name) {                                                                                           \
+            GGML_ABORT(GGML_VIRTGPU "%s: failed to prepare the remote call encoder", __func__);                        \
+        }                                                                                                              \
     } while (0)
 
-#define REMOTE_CALL(gpu_dev_name, encoder_name, decoder_name, ret_name)                                           \
-    do {                                                                                                          \
-        ret_name = (ApirForwardReturnCode) remote_call(gpu_dev_name, encoder_name, &decoder_name, 0, NULL);       \
-        if (!decoder_name) {                                                                                      \
-            GGML_ABORT(GGML_VIRTGPU "%s: failed to kick the remote call", __func__);                                         \
-        }                                                                                                         \
-        if (ret_name < APIR_FORWARD_BASE_INDEX) {                                                                 \
-            GGML_ABORT(GGML_VIRTGPU "%s: failed to forward the API call: %s: code %d", __func__,                             \
-                       apir_forward_error(ret_name), ret_name);                                                   \
-        }                                                                                                         \
-        ret_name = (ApirForwardReturnCode) (ret_name - APIR_FORWARD_BASE_INDEX);                                  \
+#define REMOTE_CALL(gpu_dev_name, encoder_name, decoder_name, ret_name)                                     \
+    do {                                                                                                    \
+        ret_name = (ApirForwardReturnCode) remote_call(gpu_dev_name, encoder_name, &decoder_name, 0, NULL); \
+        if (!decoder_name) {                                                                                \
+            GGML_ABORT(GGML_VIRTGPU "%s: failed to kick the remote call", __func__);                        \
+        }                                                                                                   \
+        if (ret_name < APIR_FORWARD_BASE_INDEX) {                                                           \
+            GGML_ABORT(GGML_VIRTGPU "%s: failed to forward the API call: %s: code %d", __func__,            \
+                       apir_forward_error(ret_name), ret_name);                                             \
+        }                                                                                                   \
+        ret_name = (ApirForwardReturnCode) (ret_name - APIR_FORWARD_BASE_INDEX);                            \
+        if (ret_name != 0) {                                                                                \
+            GGML_ABORT(GGML_VIRTGPU "backend function '%s' failed (return code: %d)",                       \
+                       REMOTE_CALL_PREPARE_command_name, ret_name);                                         \
+        }                                                                                                   \
     } while (0)
diff --git a/ggml/src/ggml-virtgpu/virtgpu-forward.gen.h b/ggml/src/ggml-virtgpu/virtgpu-forward.gen.h
index fe4cae20253..44b0ad1ffa1 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-forward.gen.h
+++ b/ggml/src/ggml-virtgpu/virtgpu-forward.gen.h
@@ -20,6 +20,7 @@ apir_buffer_context_t          apir_device_buffer_from_ptr(struct virtgpu * gpu,
 char *                apir_buffer_type_get_name(struct virtgpu * gpu, apir_buffer_type_host_handle_t host_handle);
 size_t                apir_buffer_type_get_alignment(struct virtgpu * gpu, apir_buffer_type_host_handle_t host_handle);
 size_t                apir_buffer_type_get_max_size(struct virtgpu * gpu, apir_buffer_type_host_handle_t host_handle);
+/* apir_buffer_type_is_host is deprecated. */
 apir_buffer_context_t apir_buffer_type_alloc_buffer(struct virtgpu *               gpu,
                                                     apir_buffer_type_host_handle_t host_handle,
                                                     size_t                         size);
diff --git a/ggml/src/ggml-virtgpu/virtgpu.cpp b/ggml/src/ggml-virtgpu/virtgpu.cpp
index 1e650dc65b2..a84a77399d9 100644
--- a/ggml/src/ggml-virtgpu/virtgpu.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu.cpp
@@ -53,9 +53,9 @@ static int virtgpu_handshake(virtgpu * gpu) {
 
     if (!decoder) {
         GGML_ABORT(GGML_VIRTGPU
-            "%s: failed to initiate the communication with the virglrenderer library. "
-            "Most likely, the wrong virglrenderer library was loaded in the hypervisor.",
-            __func__);
+                   "%s: failed to initiate the communication with the virglrenderer library. "
+                   "Most likely, the wrong virglrenderer library was loaded in the hypervisor.",
+                   __func__);
         return 1;
     }
 
@@ -65,8 +65,7 @@ static int virtgpu_handshake(virtgpu * gpu) {
     uint32_t host_minor;
 
     if (ret_magic != APIR_HANDSHAKE_MAGIC) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: handshake with the virglrenderer failed (code=%d | %s)", __func__, ret_magic,
+        GGML_ABORT(GGML_VIRTGPU "%s: handshake with the virglrenderer failed (code=%d | %s)", __func__, ret_magic,
                    apir_backend_initialize_error(ret_magic));
     } else {
         apir_decode_uint32_t(decoder, &host_major);
@@ -140,15 +139,13 @@ static ApirLoadLibraryReturnCode virtgpu_load_library(virtgpu * gpu) {
                        "Make sure virglrenderer is correctly configured by the hypervisor. (%s) ",
                        __func__, apir_load_library_error(ret));
         } else {
-            GGML_ABORT(GGML_VIRTGPU
-                       "%s: virglrenderer could not load the API Remoting backend library. (%s - code %d)", __func__,
-                       apir_load_library_error(ret), ret);
+            GGML_ABORT(GGML_VIRTGPU "%s: virglrenderer could not load the API Remoting backend library. (%s - code %d)",
+                       __func__, apir_load_library_error(ret), ret);
         }
         return ret;
     }
 
-    GGML_LOG_INFO(GGML_VIRTGPU
-                  "%s: virglrenderer successfully loaded the API Remoting backend library.\n", __func__);
+    GGML_LOG_INFO(GGML_VIRTGPU "%s: virglrenderer successfully loaded the API Remoting backend library.\n", __func__);
 
     ApirLoadLibraryReturnCode apir_ret = (ApirLoadLibraryReturnCode) (ret - APIR_LOAD_LIBRARY_INIT_BASE_INDEX);
 
@@ -158,10 +155,11 @@ static ApirLoadLibraryReturnCode virtgpu_load_library(virtgpu * gpu) {
                    "Make sure virglrenderer is correctly configured by the hypervisor. (%s)",
                    __func__, apir_load_library_error(apir_ret));
     } else if (apir_ret == APIR_LOAD_LIBRARY_SYMBOL_MISSING) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: the API Remoting backend library couldn't load the GGML backend library, some symbols are missing. "
-                   "Make sure virglrenderer is correctly configured by the hypervisor. (%s)",
-                   __func__, apir_load_library_error(apir_ret));
+        GGML_ABORT(
+            GGML_VIRTGPU
+            "%s: the API Remoting backend library couldn't load the GGML backend library, some symbols are missing. "
+            "Make sure virglrenderer is correctly configured by the hypervisor. (%s)",
+            __func__, apir_load_library_error(apir_ret));
     } else if (apir_ret < APIR_LOAD_LIBRARY_INIT_BASE_INDEX) {
         GGML_ABORT(GGML_VIRTGPU
                    "%s: the API Remoting backend library couldn't load the GGML backend library: apir code=%d | %s)",
@@ -169,8 +167,8 @@ static ApirLoadLibraryReturnCode virtgpu_load_library(virtgpu * gpu) {
     } else {
         uint32_t lib_ret = apir_ret - APIR_LOAD_LIBRARY_INIT_BASE_INDEX;
         GGML_ABORT(GGML_VIRTGPU
-                   "%s: the API Remoting backend library initialize its backend library: apir code=%d)", __func__,
-                   lib_ret);
+                   "%s: the API Remoting backend library failed to initialize its backend library: apir code=%d)",
+                   __func__, lib_ret);
     }
     return ret;
 }
@@ -184,55 +182,49 @@ virtgpu * create_virtgpu() {
     // Initialize mutex to protect shared data_shmem buffer
     if (mtx_init(&gpu->data_shmem_mutex, mtx_plain) != thrd_success) {
         delete gpu;
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to initialize data_shmem mutex", __func__);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to initialize data_shmem mutex", __func__);
         return NULL;
     }
 
     if (virtgpu_open(gpu) != APIR_SUCCESS) {
-        GGML_LOG_ERROR(GGML_VIRTGPU
-                       "%s: failed to open the virtgpu device\n", __func__);
+        GGML_LOG_ERROR(GGML_VIRTGPU "%s: failed to open the virtgpu device\n", __func__);
         return NULL;
     }
 
     if (virtgpu_init_capset(gpu) != APIR_SUCCESS) {
         if (gpu->use_apir_capset) {
             GGML_ABORT(GGML_VIRTGPU
-                       "%s: failed to initialize the virtgpu APIR capset. Make sure that the virglrenderer library supports it.", __func__);
+                       "%s: failed to initialize the virtgpu APIR capset. Make sure that the virglrenderer library "
+                       "supports it.",
+                       __func__);
         } else {
-            GGML_ABORT(GGML_VIRTGPU
-                       "%s: failed to initialize the virtgpu Venus capset", __func__);
+            GGML_ABORT(GGML_VIRTGPU "%s: failed to initialize the virtgpu Venus capset", __func__);
         }
         return NULL;
     }
 
     if (virtgpu_init_context(gpu) != APIR_SUCCESS) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to initialize the GPU context", __func__);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to initialize the GPU context", __func__);
         return NULL;
     }
 
     if (virtgpu_shmem_create(gpu, SHMEM_REPLY_SIZE, &gpu->reply_shmem)) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to create the shared reply memory pages", __func__);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to create the shared reply memory pages", __func__);
         return NULL;
     }
 
     if (virtgpu_shmem_create(gpu, SHMEM_DATA_SIZE, &gpu->data_shmem)) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to create the shared data memory pages", __func__);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to create the shared data memory pages", __func__);
         return NULL;
     }
 
     if (virtgpu_handshake(gpu)) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to handshake with the virglrenderer library", __func__);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to handshake with the virglrenderer library", __func__);
         return NULL;
     }
 
     if (virtgpu_load_library(gpu) != APIR_LOAD_LIBRARY_SUCCESS) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to load the backend library", __func__);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to load the backend library", __func__);
         return NULL;
     }
 
@@ -243,8 +235,7 @@ static virt_gpu_result_t virtgpu_open(virtgpu * gpu) {
     drmDevicePtr devs[8];
     int          count = drmGetDevices2(0, devs, ARRAY_SIZE(devs));
     if (count < 0) {
-        GGML_LOG_ERROR(GGML_VIRTGPU
-                       "%s: failed to enumerate DRM devices\n", __func__);
+        GGML_LOG_ERROR(GGML_VIRTGPU "%s: failed to enumerate DRM devices\n", __func__);
         return APIR_ERROR_INITIALIZATION_FAILED;
     }
 
@@ -266,19 +257,17 @@ static virt_gpu_result_t virtgpu_open_device(virtgpu * gpu, const drmDevicePtr d
 
     int fd = open(node_path, O_RDWR | O_CLOEXEC);
     if (fd < 0) {
-        GGML_ABORT(GGML_VIRTGPU
-                   "%s: failed to open %s", __func__, node_path);
+        GGML_ABORT(GGML_VIRTGPU "%s: failed to open %s", __func__, node_path);
         return APIR_ERROR_INITIALIZATION_FAILED;
     }
 
     drmVersionPtr version = drmGetVersion(fd);
     if (!version || strcmp(version->name, "virtio_gpu") || version->version_major != 0) {
         if (version) {
-            GGML_LOG_ERROR(GGML_VIRTGPU
-                           "%s: unknown DRM driver %s version %d\n", __func__, version->name, version->version_major);
+            GGML_LOG_ERROR(GGML_VIRTGPU "%s: unknown DRM driver %s version %d\n", __func__, version->name,
+                           version->version_major);
         } else {
-            GGML_LOG_ERROR(GGML_VIRTGPU
-                           "%s: failed to get DRM driver version\n", __func__);
+            GGML_LOG_ERROR(GGML_VIRTGPU "%s: failed to get DRM driver version\n", __func__);
         }
 
         if (version) {
@@ -322,9 +311,8 @@ static virt_gpu_result_t virtgpu_init_capset(virtgpu * gpu) {
         virtgpu_ioctl_get_caps(gpu, gpu->capset.id, gpu->capset.version, &gpu->capset.data, sizeof(gpu->capset.data));
 
     if (ret) {
-        GGML_LOG_ERROR(GGML_VIRTGPU
-                       "%s: failed to get APIR v%d capset: %s\n",
-                       __func__, gpu->capset.version, strerror(errno));
+        GGML_LOG_ERROR(GGML_VIRTGPU "%s: failed to get APIR v%d capset: %s\n", __func__, gpu->capset.version,
+                       strerror(errno));
         return APIR_ERROR_INITIALIZATION_FAILED;
     }
 
@@ -547,13 +535,10 @@ static void log_call_duration(long long call_duration_ns, const char * name) {
     double call_duration_s  = (double) call_duration_ns / 1e9;  // 1 second = 1e9 nanoseconds
 
     if (call_duration_s > 1) {
-        GGML_LOG_INFO(GGML_VIRTGPU
-                      "waited %.2fs for the %s host reply...\n", call_duration_s, name);
+        GGML_LOG_INFO(GGML_VIRTGPU "waited %.2fs for the %s host reply...\n", call_duration_s, name);
     } else if (call_duration_ms > 1) {
-        GGML_LOG_INFO(GGML_VIRTGPU
-                      "waited %.2fms for the %s host reply...\n", call_duration_ms, name);
+        GGML_LOG_INFO(GGML_VIRTGPU "waited %.2fms for the %s host reply...\n", call_duration_ms, name);
     } else {
-        GGML_LOG_INFO(GGML_VIRTGPU
-                      "waited %lldns for the %s host reply...\n", call_duration_ns, name);
+        GGML_LOG_INFO(GGML_VIRTGPU "waited %lldns for the %s host reply...\n", call_duration_ns, name);
     }
 }
diff --git a/ggml/src/ggml-virtgpu/virtgpu.h b/ggml/src/ggml-virtgpu/virtgpu.h
index 68e0f3a376e..f82d8fb50ba 100644
--- a/ggml/src/ggml-virtgpu/virtgpu.h
+++ b/ggml/src/ggml-virtgpu/virtgpu.h
@@ -1,5 +1,6 @@
 #pragma once
 
+// clang-format off
 #include "virtgpu-utils.h"
 #include "virtgpu-shm.h"
 #include "virtgpu-apir.h"
@@ -23,20 +24,21 @@
 #include "apir_hw.h"
 #include <drm/virtgpu_drm.h>
 #include "venus_hw.h"
+// clang-format on
 
 #ifndef VIRTGPU_DRM_CAPSET_APIR
 // Will be defined include/drm/virtgpu_drm.h when
 // https://gitlab.freedesktop.org/virgl/virglrenderer/-/merge_requests/1590/diffs
 // is merged
-#define VIRTGPU_DRM_CAPSET_APIR 10
+#    define VIRTGPU_DRM_CAPSET_APIR 10
 #endif
 
 // Mesa/Virlgrenderer Venus internal. Only necessary during the
 // Venus->APIR transition in Virglrenderer
 #define VENUS_COMMAND_TYPE_LENGTH 331
 
-#ifndef VIRTGPU_DRM_CAPSET_VENUS // only available with Linux >= v6.16
-#define VIRTGPU_DRM_CAPSET_VENUS 4
+#ifndef VIRTGPU_DRM_CAPSET_VENUS  // only available with Linux >= v6.16
+#    define VIRTGPU_DRM_CAPSET_VENUS 4
 #endif
 
 typedef uint32_t virgl_renderer_capset;
diff --git a/ggml/src/ggml-vulkan/CMakeLists.txt b/ggml/src/ggml-vulkan/CMakeLists.txt
index de01336cd3f..715a263a6d0 100644
--- a/ggml/src/ggml-vulkan/CMakeLists.txt
+++ b/ggml/src/ggml-vulkan/CMakeLists.txt
@@ -90,7 +90,7 @@ if (Vulkan_FOUND)
     target_include_directories(ggml-vulkan PRIVATE ${CMAKE_CURRENT_BINARY_DIR})
 
     # Workaround to the "can't dereference invalidated vector iterator" bug in clang-cl debug build
-    # Posssibly relevant: https://stackoverflow.com/questions/74748276/visual-studio-no-displays-the-correct-length-of-stdvector
+    # Possibly relevant: https://stackoverflow.com/questions/74748276/visual-studio-no-displays-the-correct-length-of-stdvector
     if (MSVC AND CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
         add_compile_definitions(_ITERATOR_DEBUG_LEVEL=0)
     endif()
diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
index 72097ffd0ff..3c81805b844 100644
--- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp
+++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
@@ -27,6 +27,7 @@ DispatchLoaderDynamic & ggml_vk_default_dispatcher();
 #include <iostream>
 #include <tuple>
 #include <vector>
+#include <deque>
 #include <sstream>
 #include <utility>
 #include <memory>
@@ -92,6 +93,7 @@ static bool is_pow2(uint32_t x) { return x > 1 && (x & (x-1)) == 0; }
 #define VK_VENDOR_ID_APPLE 0x106b
 #define VK_VENDOR_ID_INTEL 0x8086
 #define VK_VENDOR_ID_NVIDIA 0x10de
+#define VK_VENDOR_ID_QUALCOMM 0x5143
 
 #define VK_DEVICE_DESCRIPTOR_POOL_SIZE 256
 
@@ -187,6 +189,11 @@ struct ggml_backend_vk_buffer_type_context {
 
 struct vk_queue;
 
+struct vk_command_buffer {
+    vk::CommandBuffer buf;
+    bool in_use = false;
+};
+
 // Stores command pool/buffers. There's an instance of this
 // for each (context,queue) pair and for each (device,queue) pair.
 struct vk_command_pool {
@@ -194,10 +201,16 @@ struct vk_command_pool {
     void destroy(vk::Device& device);
 
     vk::CommandPool pool;
-    uint32_t cmd_buffer_idx;
-    std::vector<vk::CommandBuffer> cmd_buffers;
+    // Using deque so the pointers to command buffers
+    // remain valid even if we add more
+    std::deque<vk_command_buffer> cmd_buffers;
 
     vk_queue *q;
+
+    size_t buffers_in_use() const {
+        return std::count_if(cmd_buffers.begin(), cmd_buffers.end(),
+            [](const auto& cb) { return cb.in_use; });
+    }
 };
 
 // Prevent simultaneous submissions to the same queue.
@@ -402,19 +415,20 @@ enum FaCodePath {
 };
 
 struct vk_fa_pipeline_state {
-    vk_fa_pipeline_state(uint32_t HSK, uint32_t HSV, bool small_rows, bool small_cache, FaCodePath path, bool aligned, bool f32acc, uint32_t flags)
-        : HSK(HSK), HSV(HSV), small_rows(small_rows), small_cache(small_cache), path(path), aligned(aligned), f32acc(f32acc), flags(flags) {}
-
     uint32_t HSK, HSV;
-    bool small_rows, small_cache;
+    uint32_t Br, Bc;
+    uint32_t D_split, row_split;
+    bool shmem_staging;
     FaCodePath path;
+    uint32_t workgroup_size, subgroup_size;
     bool aligned;
     bool f32acc;
     uint32_t flags;
+    uint32_t limit_occupancy_shmem;
 
     bool operator<(const vk_fa_pipeline_state &b) const {
-        return std::tie(HSK, HSV, small_rows, small_cache, path, aligned, f32acc, flags) <
-               std::tie(b.HSK, b.HSV, b.small_rows, b.small_cache, b.path, b.aligned, b.f32acc, b.flags);
+        return std::tie(HSK, HSV, Br, Bc, D_split, row_split, shmem_staging, path, workgroup_size, subgroup_size, aligned, f32acc, flags, limit_occupancy_shmem) <
+               std::tie(b.HSK, b.HSV, b.Br, b.Bc, b.D_split, b.row_split, b.shmem_staging, b.path, b.workgroup_size, b.subgroup_size, b.aligned, b.f32acc, b.flags, b.limit_occupancy_shmem);
     }
 };
 
@@ -588,6 +602,7 @@ struct vk_device_struct {
     vk_queue transfer_queue;
     bool single_queue;
     bool support_async;
+    bool async_use_transfer_queue;
     uint32_t subgroup_size;
     uint32_t subgroup_size_log2;
     uint32_t shader_core_count;
@@ -687,6 +702,7 @@ struct vk_device_struct {
     vk_pipeline pipeline_get_rows[GGML_TYPE_COUNT];
     vk_pipeline pipeline_get_rows_f32[GGML_TYPE_COUNT];
     vk_pipeline pipeline_acc_f32;
+    vk_pipeline pipeline_set_f32;
 
     // [src0 0=fp32,1=fp16][src1 0=fp32,1=fp16][dst 0=fp32,1=fp16]
     vk_pipeline pipeline_add[2][2][2];
@@ -740,6 +756,7 @@ struct vk_device_struct {
 
     // [src/dst 0=fp32,1=fp16]
     vk_pipeline pipeline_exp[2];
+    vk_pipeline pipeline_elu[2];
     vk_pipeline pipeline_gelu[2];
     vk_pipeline pipeline_gelu_erf[2];
     vk_pipeline pipeline_gelu_quick[2];
@@ -758,6 +775,7 @@ struct vk_device_struct {
     vk_pipeline pipeline_ceil[2];
     vk_pipeline pipeline_floor[2];
     vk_pipeline pipeline_trunc[2];
+    vk_pipeline pipeline_sgn[2];
 
     vk_pipeline pipeline_add1_f16_f16;
     vk_pipeline pipeline_add1_f16_f32;
@@ -807,6 +825,8 @@ struct vk_device_struct {
     vk_pipeline pipeline_pool2d_f32;
     vk_pipeline pipeline_rwkv_wkv6_f32;
     vk_pipeline pipeline_rwkv_wkv7_f32;
+    // [size_idx][kda] where size_idx: 0=d32, 1=d64, 2=d128
+    vk_pipeline pipeline_gated_delta_net[3][2];
     vk_pipeline pipeline_ssm_scan_f32_d128;
     vk_pipeline pipeline_ssm_scan_f32_d256;
     vk_pipeline pipeline_ssm_conv_f32;
@@ -872,10 +892,12 @@ struct vk_device_struct {
 };
 
 void vk_command_pool::init(vk_device& device, vk_queue *q_) {
-    cmd_buffer_idx = 0;
+    cmd_buffers.clear();
     q = q_;
 
-    vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), q->queue_family_index);
+    vk::CommandPoolCreateInfo command_pool_create_info(
+        vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT | VK_COMMAND_POOL_CREATE_RESET_COMMAND_BUFFER_BIT),
+        q->queue_family_index);
     pool = device->device.createCommandPool(command_pool_create_info);
 }
 
@@ -923,6 +945,7 @@ struct vk_subbuffer {
 struct vk_event {
     vk::Event event;
     vk::Fence fence;
+    vk_command_buffer* cmd_buffer = nullptr;
 };
 
 struct vk_semaphore {
@@ -931,7 +954,7 @@ struct vk_semaphore {
 };
 
 struct vk_submission {
-    vk::CommandBuffer buffer;
+    vk_command_buffer* buffer = nullptr;
     std::vector<vk_semaphore> wait_semaphores;
     std::vector<vk_semaphore> signal_semaphores;
 };
@@ -942,6 +965,7 @@ struct vk_mat_mat_push_constants {
     uint32_t M; uint32_t N; uint32_t K;
     uint32_t stride_a; uint32_t stride_b; uint32_t stride_d;
     uint32_t batch_stride_a; uint32_t batch_stride_b; uint32_t batch_stride_d;
+    uint32_t base_work_group_z; uint32_t num_batches;
     uint32_t k_split;
     uint32_t ne02; uint32_t ne12; uint32_t broadcast2; uint32_t broadcast3;
     uint32_t padded_N;
@@ -961,6 +985,7 @@ struct vk_mat_vec_push_constants {
     uint32_t batch_stride_b;
     uint32_t batch_stride_d;
     uint32_t fusion_flags;
+    uint32_t base_work_group_y;
     uint32_t ne02;
     uint32_t ne12;
     uint32_t broadcast2;
@@ -1431,6 +1456,18 @@ struct vk_op_rwkv_wkv7_push_constants {
     uint32_t C;
     uint32_t H;
 };
+struct vk_op_gated_delta_net_push_constants {
+    uint32_t H;
+    uint32_t n_tokens;
+    uint32_t n_seqs;
+    uint32_t s_off;
+    uint32_t sq1, sq2, sq3;
+    uint32_t sv1, sv2, sv3;
+    uint32_t sb1, sb2, sb3;
+    uint32_t neq1, rq3;
+    float scale;
+};
+
 struct vk_op_ssm_scan_push_constants {
     uint32_t nb02, nb03, nb12, nb13;
     uint32_t nb21, nb22, nb31;
@@ -1652,6 +1689,7 @@ static bool vk_perf_logger_concurrent = false;
 static bool vk_enable_sync_logger = false;
 // number of calls between perf logger prints
 static uint32_t vk_perf_logger_frequency = 1;
+static std::string vk_pipeline_stats_filter;
 
 class vk_perf_logger {
   public:
@@ -1852,6 +1890,10 @@ struct ggml_backend_vk_context {
 
     vk_context_ref compute_ctx;
 
+    vk_context_ref transfer_ctx;
+    vk_semaphore transfer_semaphore;
+    uint64_t transfer_semaphore_last_submitted {};
+
     std::vector<vk_context_ref> tensor_ctxs;
 
     std::vector<vk::DescriptorPool> descriptor_pools;
@@ -1860,6 +1902,7 @@ struct ggml_backend_vk_context {
     uint32_t pipeline_descriptor_set_requirements {};
 
     vk_command_pool compute_cmd_pool;
+    vk_command_pool transfer_cmd_pool;
 
     // number of additional consecutive nodes that are being fused with the
     // node currently being processed
@@ -2168,7 +2211,32 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin
         executableInfo.pipeline = pipeline->pipeline;
 
         auto statistics = device->device.getPipelineExecutableStatisticsKHR(executableInfo);
+
+        bool print_stats = !vk_pipeline_stats_filter.empty() &&
+                           pipeline->name.find(vk_pipeline_stats_filter) != std::string::npos;
+        if (print_stats) {
+            std::cerr << "ggml_vulkan: pipeline stats for " << pipeline->name << ":" << std::endl;
+        }
+
         for (auto & s : statistics) {
+            if (print_stats) {
+                std::cerr << "ggml_vulkan:   " << s.name.data() << ": ";
+                switch (s.format) {
+                    case vk::PipelineExecutableStatisticFormatKHR::eBool32:
+                        std::cerr << (s.value.b32 ? "true" : "false");
+                        break;
+                    case vk::PipelineExecutableStatisticFormatKHR::eInt64:
+                        std::cerr << s.value.i64;
+                        break;
+                    case vk::PipelineExecutableStatisticFormatKHR::eUint64:
+                        std::cerr << s.value.u64;
+                        break;
+                    case vk::PipelineExecutableStatisticFormatKHR::eFloat64:
+                        std::cerr << s.value.f64;
+                        break;
+                }
+                std::cerr << std::endl;
+            }
             // "Register Count" is reported by NVIDIA drivers.
             if (strcmp(s.name, "Register Count") == 0) {
                 VK_LOG_DEBUG(pipeline->name << " " << s.name << ": " << s.value.u64 << " registers");
@@ -2244,25 +2312,15 @@ static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx
     }
 }
 
-static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_device& device, vk_command_pool& p) {
+static vk_command_buffer* ggml_vk_create_cmd_buffer(vk_device& device, vk_command_pool& p) {
     VK_LOG_DEBUG("ggml_vk_create_cmd_buffer()");
-
-    if (p.cmd_buffers.size() > p.cmd_buffer_idx) {
-        // Reuse command buffer
-        return p.cmd_buffers[p.cmd_buffer_idx++];
-    }
-
     vk::CommandBufferAllocateInfo command_buffer_alloc_info(
         p.pool,
         vk::CommandBufferLevel::ePrimary,
         1);
     const std::vector<vk::CommandBuffer> cmd_buffers = device->device.allocateCommandBuffers(command_buffer_alloc_info);
-    auto buf = cmd_buffers.front();
-
-    p.cmd_buffers.push_back(buf);
-    p.cmd_buffer_idx++;
-
-    return buf;
+    p.cmd_buffers.push_back({ cmd_buffers.front(), true });
+    return &p.cmd_buffers[p.cmd_buffers.size()-1];
 }
 
 static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) {
@@ -2329,7 +2387,7 @@ static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) {
                 tl_wait_semaphores[idx].data(),
                 stage_flags[idx].data(),
                 1,
-                &submission.buffer,
+                &submission.buffer->buf,
                 (uint32_t) submission.signal_semaphores.size(),
                 tl_signal_semaphores[idx].data(),
             };
@@ -2453,7 +2511,11 @@ static void ggml_vk_command_pool_cleanup(vk_device& device, vk_command_pool& p)
 
     // Requires command buffers to be done
     device->device.resetCommandPool(p.pool);
-    p.cmd_buffer_idx = 0;
+    // Don't clear the command buffers and mark them as not in use.
+    // This allows us to reuse them
+    for (auto& cmd_buffer : p.cmd_buffers) {
+        cmd_buffer.in_use = false;
+    }
 }
 
 static void ggml_vk_queue_command_pools_cleanup(vk_device& device) {
@@ -2462,10 +2524,10 @@ static void ggml_vk_queue_command_pools_cleanup(vk_device& device) {
     // Arbitrary frequency to cleanup/reuse command buffers
     static constexpr uint32_t cleanup_frequency = 10;
 
-    if (device->compute_queue.cmd_pool.cmd_buffer_idx >= cleanup_frequency) {
+    if (device->compute_queue.cmd_pool.buffers_in_use() >= cleanup_frequency) {
         ggml_vk_command_pool_cleanup(device, device->compute_queue.cmd_pool);
     }
-    if (device->transfer_queue.cmd_pool.cmd_buffer_idx >= cleanup_frequency) {
+    if (device->transfer_queue.cmd_pool.buffers_in_use() >= cleanup_frequency) {
         ggml_vk_command_pool_cleanup(device, device->transfer_queue.cmd_pool);
     }
 }
@@ -2713,7 +2775,7 @@ static void ggml_vk_sync_buffers(ggml_backend_vk_context* ctx, vk_context& subct
         ctx->prealloc_x_need_sync = ctx->prealloc_y_need_sync = ctx->prealloc_split_k_need_sync = false;
     }
 
-    subctx->s->buffer.pipelineBarrier(
+    subctx->s->buffer->buf.pipelineBarrier(
         subctx->p->q->stage_flags,
         subctx->p->q->stage_flags,
         {},
@@ -2729,7 +2791,7 @@ static void ggml_vk_sync_buffers(ggml_backend_vk_context* ctx, vk_context& subct
 static void ggml_vk_set_event(vk_context& ctx, vk::Event& event) {
     VK_LOG_DEBUG("ggml_vk_set_event()");
 
-    ctx->s->buffer.setEvent(
+    ctx->s->buffer->buf.setEvent(
         event,
         ctx->p->q->stage_flags
     );
@@ -2741,7 +2803,7 @@ static void ggml_vk_wait_events(vk_context& ctx, std::vector<vk::Event>&& events
         return;
     }
 
-    ctx->s->buffer.waitEvents(
+    ctx->s->buffer->buf.waitEvents(
         events,
         ctx->p->q->stage_flags,
         ctx->p->q->stage_flags,
@@ -2751,78 +2813,218 @@ static void ggml_vk_wait_events(vk_context& ctx, std::vector<vk::Event>&& events
     );
 }
 
-// number of rows/cols for flash attention shader
-static constexpr uint32_t flash_attention_num_small_rows = 32;
-static constexpr uint32_t scalar_flash_attention_num_small_rows = 1;
+struct vk_fa_tuning_params {
+    FaCodePath path;
+    uint32_t workgroup_size;
+    uint32_t subgroup_size;
+    uint32_t block_rows;
+    uint32_t block_cols;
+    uint32_t d_split;
+    uint32_t row_split;
+    bool shmem_staging;
+    bool disable_subgroups;
+    uint32_t limit_occupancy_shmem;
+
+    void print() const {
+        std::cerr << "path=" << path << " workgroup_size=" << workgroup_size << " subgroup_size=" << subgroup_size <<
+                     " block_rows=" << block_rows << " block_cols=" << block_cols << " d_split=" << d_split <<
+                     " row_split=" << row_split << " shmem_staging=" << shmem_staging << " disable_subgroups=" << disable_subgroups <<
+                     " limit_occupancy_shmem=" << limit_occupancy_shmem << std::endl;
+    }
+};
+
+static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc);
+static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc);
+
+static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
+    GGML_UNUSED(kv_type);
 
-static uint32_t get_fa_scalar_num_large_rows(uint32_t hsk, uint32_t hsv, bool small_cache) {
-    if (hsv >= 192) {
-        return 2;
-    } else if ((hsv | hsk) & 8 || small_cache) {
-        return 4;
+    vk_fa_tuning_params result{};
+    result.path = FA_SCALAR;
+
+    if (device->vendor_id == VK_VENDOR_ID_INTEL) {
+        // Disable subgroup use due to performance issues when enforcing subgroup sizes
+        result.subgroup_size = 32;
+        result.disable_subgroups = true;
+    } else if (device->vendor_id == VK_VENDOR_ID_AMD && device->architecture != AMD_GCN) {
+        result.subgroup_size = n_rows < 4 ? 32 : device->subgroup_size;
     } else {
-        return 8;
+        result.subgroup_size = device->subgroup_size;
     }
-}
 
-// The FA coopmat1 shader assumes 16x16x16 matrix multiply support.
-// 128 threads split into four subgroups, each subgroup does 1/4
-// of the Bc dimension.
-static constexpr uint32_t coopmat1_flash_attention_num_large_rows = 16;
-static constexpr uint32_t scalar_flash_attention_Bc = 64;
-static constexpr uint32_t scalar_flash_attention_workgroup_size = 128;
+    // Row split splits the workgroup so that synchronization only has to happen within subgroups, which avoids barriers
+    uint32_t row_split_max_hsk = 64;
+    if (device->vendor_id == VK_VENDOR_ID_AMD && device->architecture != AMD_GCN && !device->uma) {
+        row_split_max_hsk = n_rows <= 8 ? 64 : 128;
+    }
+    result.row_split = (n_rows < 4 || hsk <= row_split_max_hsk) ? 1 : 4;
 
-static uint32_t get_fa_num_small_rows(FaCodePath path) {
-    if (path == FA_COOPMAT2) {
-        return flash_attention_num_small_rows;
+    if (result.subgroup_size > 32 && (n_rows < 4 || hsk < (result.row_split == 1 ? 128 : 64))) {
+        result.workgroup_size = result.subgroup_size * 2;
     } else {
-        return scalar_flash_attention_num_small_rows;
+        result.workgroup_size = result.subgroup_size * 4;
     }
-}
 
-static std::array<uint32_t, 2> fa_rows_cols(FaCodePath path, uint32_t hsk, uint32_t hsv, uint32_t clamp, ggml_type type, bool small_rows, bool small_cache) {
-    GGML_UNUSED(clamp);
+    const uint32_t D = hsk | hsv;
+
+    const bool reduce_block_rows = D & 8 || n_kv < 1024 || device->vendor_id == VK_VENDOR_ID_INTEL;
 
-    if (path == FA_SCALAR) {
-        if (small_rows) {
-            return {scalar_flash_attention_num_small_rows, 64};
+    if (n_rows == 1) {
+        result.block_rows = 1;
+        result.block_cols = 64;
+    } else {
+        // row_split 1 means higher register use per row, so block size has to be adjusted
+        if (result.row_split == 1) {
+            result.block_rows = n_rows == 2 ? 2 : ((n_rows <= 4 || reduce_block_rows) ? 4 : 8);
         } else {
-            if ((hsv | hsk) & 8) {
-                // HSV/HSK not being a multiple of 16 makes D_split smaller, which makes cols_per_iter
-                // larger, and Bc needs to be >= cols_per_thread. 64 is large enough, 32 is not.
-                return {get_fa_scalar_num_large_rows(hsk, hsv, small_cache), 64};
-            } else {
-                return {get_fa_scalar_num_large_rows(hsk, hsv, small_cache), 32};
-            }
+            result.block_rows = n_rows <= 4 ? 4 : ((n_rows <= 8 || reduce_block_rows) ? 8 : 16);
         }
+
+        result.block_cols = (D & 8) ? 64 : 32;
     }
 
-    if (path == FA_COOPMAT1) {
-        if (small_rows) {
-            return {scalar_flash_attention_num_small_rows, scalar_flash_attention_Bc};
-        } else {
-            return {coopmat1_flash_attention_num_large_rows, scalar_flash_attention_Bc};
+    const uint32_t D_lsb = D ^ (D & (D-1));  // extract lowest set bit
+
+    result.d_split = std::min(std::min(result.subgroup_size, 8u), D_lsb / 4);
+
+    result.shmem_staging = (device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256 && hsv < 256) ? 1 : 0;
+
+    if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc)) {
+        result.block_rows /= 2;
+    }
+
+    // On AMD RDNA, for small head sizes and big batch size the shader uses few registers, so too many subgroups get scheduled
+    // at once and end up thrashing the cache. Fix this by setting a large (unused) shmem buffer that reduces occupancy.
+    // This targets an occupancy of 4 subgroups per SIMD.
+    if (device->vendor_id == VK_VENDOR_ID_AMD && device->properties.limits.maxComputeSharedMemorySize == 65536) {
+        if (device->architecture != AMD_GCN && n_rows >= 64 && hsk <= 128) {
+            // 30kb target for hsk > 64, 26kb for <= 64 due to smaller workgroup size
+            // Values are guessed, tested on RDNA2
+            result.limit_occupancy_shmem = (hsk <= 64 ? 26 : 30) * 1024 / 4 / 4;
+        } else if (device->architecture == AMD_GCN && n_rows <= 8 && hsk >= 256) {
+            // Same thing for GCN, with an occupancy target of 2 subgroups per SIMD.
+            // Here low-batch FA with large head size is affected.
+            // n_rows < 4 switch because workgroup size switches from 128 to 256 there.
+            result.limit_occupancy_shmem = (n_rows < 4 ? 14 : 26) * 1024 / 4 / 4;
         }
     }
 
-    // small rows, large cols
+    return result;
+}
+
+static vk_fa_tuning_params get_fa_tuning_params_coopmat1(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
+    GGML_UNUSED(n_rows);
+    GGML_UNUSED(n_kv);
+    GGML_UNUSED(kv_type);
+    GGML_UNUSED(f32acc);
+
+    vk_fa_tuning_params result{};
+    result.path = FA_COOPMAT1;
+
+    const uint32_t D = hsk | hsv;
+
+    const uint32_t coopmat_block_rows = 16;
+    const uint32_t coopmat_block_cols = 16;
+
+    const uint32_t num_subgroups = 4;
+
+    result.block_rows = coopmat_block_rows;
+    result.block_cols = coopmat_block_cols * num_subgroups;
+    result.row_split = num_subgroups;
+    result.subgroup_size = device->subgroup_size;
+    result.workgroup_size = num_subgroups * result.subgroup_size;
+
+    const uint32_t D_lsb = D ^ (D & (D-1));  // extract lowest set bit
+    result.d_split = std::min(std::min(result.subgroup_size, 8u), D_lsb / 4);
+
+    result.shmem_staging = (device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256 && hsv < 256) ? 1 : 0;
+
+    return result;
+}
+
+static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
+    GGML_UNUSED(n_kv);
+    GGML_UNUSED(f32acc);
+
+    vk_fa_tuning_params result{};
+    result.path = FA_COOPMAT2;
+
+    const uint32_t D = hsk | hsv;
+
+    const bool small_rows = n_rows < 32;
+
     if (small_rows) {
-        return {get_fa_num_small_rows(FA_COOPMAT2), 32};
+        result.block_rows = 32;
+        result.block_cols = 32;
+    } else if (ggml_is_quantized(kv_type) || hsk >= 256 || hsv >= 256) {
+        result.block_rows = (hsk >= 512 || hsv >= 512) ? 32 : 64;
+        result.block_cols = 32;
+    } else {
+        result.block_rows = 64;
+        result.block_cols = 64;
     }
 
-    // small cols to reduce register count
-    if (ggml_is_quantized(type) || hsk >= 256 || hsv >= 256) {
-        if (hsk >= 512 || hsv >= 512) {
-            return {32, 32};
-        } else {
-            return {64, 32};
+    result.subgroup_size = device->subgroup_size;
+    result.workgroup_size = (small_rows && (D % 32) == 0) ? 256 : 128;
+
+    return result;
+}
+
+static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
+    FaCodePath path = device->coopmat2 ? FA_COOPMAT2 :
+                      device->coopmat1_fa_support ? FA_COOPMAT1 : FA_SCALAR;
+
+    if (path == FA_COOPMAT1 && device->architecture == vk_device_architecture::NVIDIA_TURING) {
+        // Nvidia compiler bug, see https://github.com/ggml-org/llama.cpp/pull/19075#issuecomment-3820716090
+        path = FA_SCALAR;
+    }
+
+    if (path == FA_COOPMAT1) {
+        bool shape_ok = (f32acc && device->coopmat_support_16x16x16_f32acc) ||
+                        (!f32acc && device->coopmat_support_16x16x16_f16acc);
+        const vk_fa_tuning_params params = get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+        bool shmem_ok = ggml_vk_flash_attn_coopmat_shmem_support(device, params, hsk, hsv, f32acc);
+
+        if (!shape_ok || !shmem_ok) {
+            path = FA_SCALAR;
         }
     }
-    return {64, 64};
+
+    // scalar is faster than coopmat when N==1
+    if (n_rows == 1 && (path == FA_COOPMAT1 || path == FA_COOPMAT2)) {
+        path = FA_SCALAR;
+    }
+
+    switch (path) {
+    case FA_SCALAR:
+        return get_fa_tuning_params_scalar(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+    case FA_COOPMAT1:
+        return get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+    case FA_COOPMAT2:
+        return get_fa_tuning_params_coopmat2(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+    default:
+        throw std::runtime_error("unsupported FaCodePath");
+    }
 }
 
-static uint32_t fa_align(FaCodePath path, uint32_t hsk, uint32_t hsv, ggml_type type, bool small_rows, bool small_cache) {
-    return fa_rows_cols(path, hsk, hsv, 0, type, small_rows, small_cache)[1];
+static vk_fa_pipeline_state get_fa_pipeline_state(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool aligned, bool f32acc,
+                                                  bool use_mask, bool use_mask_opt, bool use_logit_softcap) {
+    const bool old_amd_windows = device->vendor_id == VK_VENDOR_ID_AMD && device->driver_id == vk::DriverId::eAmdProprietary &&
+                                 (device->architecture == AMD_GCN || device->architecture == AMD_RDNA1 || device->architecture == AMD_RDNA2);
+
+    uint32_t flags = (use_mask_opt      ? 1 : 0) |
+                     (use_mask          ? 2 : 0) |
+                     (use_logit_softcap ? 4 : 0) |
+                     (old_amd_windows   ? 8 : 0);
+
+    const uint32_t subgroup_size = params.disable_subgroups ? 0 : params.subgroup_size;
+
+    return vk_fa_pipeline_state{hsk, hsv, params.block_rows, params.block_cols, params.d_split, params.row_split, params.shmem_staging, params.path, params.workgroup_size, subgroup_size, aligned, f32acc, flags, params.limit_occupancy_shmem};
+}
+
+static std::vector<uint32_t> get_fa_spec_constants(const vk_fa_pipeline_state& state) {
+    return {state.workgroup_size, state.Br, state.Bc, state.HSK, state.HSV, !state.aligned, state.D_split,
+            state.row_split, state.subgroup_size, state.shmem_staging ? 1u : 0u, state.flags, state.limit_occupancy_shmem};
 }
 
 static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vector<uint32_t>& warptile, bool mul_mat_id, ggml_type src0_type) {
@@ -3189,76 +3391,43 @@ static void ggml_vk_load_shaders(vk_device& device) {
                                        align, disable_robustness, require_full_subgroups, required_subgroup_size);
     };
 
-    auto const &fa_wg_denoms = [&](FaCodePath path, uint32_t hsk, uint32_t hsv, uint32_t clamp, ggml_type type, bool small_rows, bool small_cache) -> std::array<uint32_t, 3> {
-        return {fa_rows_cols(path, hsk, hsv, clamp, type, small_rows, small_cache)[0], 1, 1};
-    };
-
-    auto const &fa_spec_constants = [&](FaCodePath path, uint32_t hsk, uint32_t hsv, uint32_t clamp, ggml_type type, bool small_rows, bool small_cache, uint32_t flags) -> std::vector<uint32_t> {
-        // For large number of rows, 128 invocations seems to work best.
-        // For small number of rows (e.g. N==1), 256 works better. But matrix granularity for 256 is 32, so we
-        // can't use 256 for D==80.
-        // For scalar, use 128 (arbitrary)
-        // The same D_split value is used for both HSK and HSV, so just base it on the union of the LSBs.
-        const uint32_t D = (hsk|hsv);
-        auto rows_cols = fa_rows_cols(path, hsk, hsv, clamp, type, small_rows, small_cache);
-
-        uint32_t wg_size;
-        switch (path) {
-        case FA_COOPMAT2:
-            wg_size = ((small_rows && (D % 32) == 0) ? 256 : 128);
-            break;
-        case FA_COOPMAT1:
-            wg_size = (rows_cols[1] / 16) * device->subgroup_size; // enough subgroups for Bc/MatBc
-            break;
-        default:
-            wg_size = scalar_flash_attention_workgroup_size;
-            break;
-        }
-
-        // D_split can't be larger than a subgroup because we use subgroupShuffle to reduce it.
-        // D_split can't be larger than the LSB of D divided by 4 due to vectorization in the shader.
-        const uint32_t D_lsb = D ^ (D & (D-1));
-        uint32_t D_split = std::min(std::min(device->subgroup_size, 8u), D_lsb / 4);
-
-        // Nvidia prefers shared memory use to load large tiles of K.
-        // Switch to loading from global memory when it would use too much shared memory.
-        // AMD prefers loading K directly from global memory
-        const uint32_t k_load_shmem = device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256 ? 1 : 0;
-
-        return {wg_size, rows_cols[0], rows_cols[1], hsk, hsv, clamp, D_split, device->subgroup_size, k_load_shmem, flags};
-    };
-
 #define CREATE_FA(TYPE, NAMELC, FAPATH, SUFFIX) \
         for (auto &fa : device->pipeline_flash_attn_f32_f16[TYPE]) { \
-            uint32_t HSK = fa.first.HSK; \
-            uint32_t HSV = fa.first.HSV; \
-            bool small_rows = fa.first.small_rows; \
-            bool small_cache = fa.first.small_cache; \
             FaCodePath path = fa.first.path; \
+            uint32_t Br = fa.first.Br; \
+            uint32_t Bc = fa.first.Bc; \
             bool aligned = fa.first.aligned; \
             bool f32acc = fa.first.f32acc; \
-            uint32_t flags = fa.first.flags; \
+            uint32_t fa_sgs = fa.first.subgroup_size; \
+            bool fa_ds = fa.first.subgroup_size == 0; \
             if (path == FAPATH) { \
                 if (aligned) { \
                     if (f32acc) { \
-                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_aligned_f32acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), fa_wg_denoms(FAPATH, HSK,HSV,0,TYPE,small_rows,small_cache), fa_spec_constants(FAPATH, HSK,HSV,0,TYPE,small_rows,small_cache,flags), fa_align(FAPATH,HSK,HSV,TYPE,small_rows,small_cache), true, FAPATH==FA_COOPMAT1, (FAPATH==FA_COOPMAT1 ? device->subgroup_size : 0));     \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_aligned_f32acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), Bc, true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0));     \
                     } else { \
-                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_aligned_f16acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), fa_wg_denoms(FAPATH, HSK,HSV,0,TYPE,small_rows,small_cache), fa_spec_constants(FAPATH, HSK,HSV,0,TYPE,small_rows,small_cache,flags), fa_align(FAPATH,HSK,HSV,TYPE,small_rows,small_cache), true, FAPATH==FA_COOPMAT1, (FAPATH==FA_COOPMAT1 ? device->subgroup_size : 0));     \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_aligned_f16acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), Bc, true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0));     \
                     } \
                 } else { \
                     if (f32acc) { \
-                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_f32acc"         #NAMELC, flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), fa_wg_denoms(FAPATH, HSK,HSV,1,TYPE,small_rows,small_cache), fa_spec_constants(FAPATH, HSK,HSV,1,TYPE,small_rows,small_cache,flags), 1,                                        true, FAPATH==FA_COOPMAT1, (FAPATH==FA_COOPMAT1 ? device->subgroup_size : 0));     \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_f32acc"         #NAMELC, flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ##            SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), 1,  true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0));     \
                     } else { \
-                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_f16acc"         #NAMELC, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), fa_wg_denoms(FAPATH, HSK,HSV,1,TYPE,small_rows,small_cache), fa_spec_constants(FAPATH, HSK,HSV,1,TYPE,small_rows,small_cache,flags), 1,                                        true, FAPATH==FA_COOPMAT1, (FAPATH==FA_COOPMAT1 ? device->subgroup_size : 0));     \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_f16acc"         #NAMELC, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _len,  flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _data,  "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), 1,  true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0));     \
                     } \
                 } \
             } \
         }
 
-    CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, )
-    CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, )
-    CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, )
-    CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, )
+    if (device->fp16) {
+        CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, )
+        CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, )
+        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, )
+        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, )
+    } else {
+        CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, _fp32)
+        CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, _fp32)
+        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, _fp32)
+        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, _fp32)
+    }
 #if defined(VK_KHR_cooperative_matrix) && defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT)
     if (device->coopmat1_fa_support) {
         CREATE_FA(GGML_TYPE_F32, f32, FA_COOPMAT1, _cm1)
@@ -3776,10 +3945,12 @@ static void ggml_vk_load_shaders(vk_device& device) {
         && !device->coopmat_bf16_support
 #endif
         ) {
+        const uint32_t s_warptile_wm = device->subgroup_size == 8 ? 8 : 32;
+
         // use scalar tile sizes
         l_warptile = { 128, 128, 128, 16, subgroup_size_8 * 2, 64, 2, 4, 4, 1, subgroup_size_8 };
         m_warptile = { 128,  64,  64, 16, subgroup_size_8, 32, 2, 4, 2, 1, subgroup_size_8 };
-        s_warptile = { subgroup_size_16, 32, 32, 16, 32, 32, 2, 2, 2, 1, subgroup_size_8 };
+        s_warptile = { subgroup_size_32, 32, 32, 16, s_warptile_wm, 32, 2, 2, 2, 1, subgroup_size_8 };
 
         l_wg_denoms = {128, 128, 1 };
         m_wg_denoms = { 64,  64, 1 };
@@ -4080,7 +4251,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
     }
 
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_back_f32, "rms_norm_back_f32", rms_norm_back_f32_len, rms_norm_back_f32_data, "main", 3, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(device, device->pipeline_l2_norm_f32, "l2_norm_f32", l2_norm_f32_len, l2_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_l2_norm_f32, "l2_norm_f32", l2_norm_f32_len, l2_norm_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {1, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_f32, "cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_f16, "cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
@@ -4181,7 +4352,8 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
     ggml_vk_create_pipeline(device, device->pipeline_add_id_f32, "add_id_f32", add_id_f32_len, add_id_f32_data, "main", 4, sizeof(vk_op_add_id_push_constants), {1, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(device, device->pipeline_acc_f32, "acc_f32", acc_f32_len, acc_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_acc_f32, "acc_f32", acc_f32_len, acc_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {0, 1}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_set_f32, "set_f32", acc_f32_len, acc_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {0, 0}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_concat_f32, "concat_f32", concat_f32_len, concat_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_concat_f16, "concat_f16", concat_f16_len, concat_f16_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
@@ -4226,6 +4398,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);  \
     ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
+    CREATE_UNARY(elu)
     CREATE_UNARY(gelu)
     CREATE_UNARY(gelu_erf)
     CREATE_UNARY(gelu_quick)
@@ -4244,6 +4417,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
     CREATE_UNARY(ceil)
     CREATE_UNARY(floor)
     CREATE_UNARY(trunc)
+    CREATE_UNARY(sgn)
 #undef CREATE_UNARY
 
 #define CREATE_UNARY_RTE(name)  \
@@ -4408,6 +4582,23 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
     ggml_vk_create_pipeline(device, device->pipeline_rwkv_wkv7_f32, "rwkv_wkv7_f32", rwkv_wkv7_f32_len, rwkv_wkv7_f32_data, "main", 8, sizeof(vk_op_rwkv_wkv7_push_constants), {1, 1, 1}, {device->subgroup_size}, 1);
 
+    {
+        const uint32_t gdn_sizes[] = {32, 64, 128};
+        const char * gdn_names[][2] = {
+            {"gated_delta_net_f32_d32",     "gated_delta_net_f32_d32_kda"},
+            {"gated_delta_net_f32_d64",     "gated_delta_net_f32_d64_kda"},
+            {"gated_delta_net_f32_d128",    "gated_delta_net_f32_d128_kda"},
+        };
+        for (uint32_t si = 0; si < 3; si++) {
+            for (uint32_t kda = 0; kda < 2; kda++) {
+                ggml_vk_create_pipeline(device, device->pipeline_gated_delta_net[si][kda],
+                    gdn_names[si][kda], gated_delta_net_f32_len, gated_delta_net_f32_data,
+                    "main", 7, sizeof(vk_op_gated_delta_net_push_constants),
+                    {1, 1, 1}, {gdn_sizes[si], kda}, 1);
+            }
+        }
+    }
+
     if (device->subgroup_arithmetic && device->subgroup_require_full_support) {
         ggml_vk_create_pipeline(device, device->pipeline_ssm_scan_f32_d128, "ssm_scan_128_f32", ssm_scan_subgroup_f32_len, ssm_scan_subgroup_f32_data, "main", 8, sizeof(vk_op_ssm_scan_push_constants), {1, 1, 1}, {128, device->subgroup_size}, 1, true, true);
         ggml_vk_create_pipeline(device, device->pipeline_ssm_scan_f32_d256, "ssm_scan_256_f32", ssm_scan_subgroup_f32_len, ssm_scan_subgroup_f32_data, "main", 8, sizeof(vk_op_ssm_scan_push_constants), {1, 1, 1}, {256, device->subgroup_size}, 1, true, true);
@@ -4416,7 +4607,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         ggml_vk_create_pipeline(device, device->pipeline_ssm_scan_f32_d256, "ssm_scan_256_f32", ssm_scan_f32_len, ssm_scan_f32_data, "main", 8, sizeof(vk_op_ssm_scan_push_constants), {1, 1, 1}, {256, device->subgroup_size, 16}, 1, true, true);
     }
 
-    ggml_vk_create_pipeline(device, device->pipeline_ssm_conv_f32, "ssm_conv_f32", ssm_conv_f32_len, ssm_conv_f32_data, "main", 3, sizeof(vk_op_ssm_conv_push_constants), {32, 1, 1}, {32}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_ssm_conv_f32, "ssm_conv_f32", ssm_conv_f32_len, ssm_conv_f32_data, "main", 3, sizeof(vk_op_ssm_conv_push_constants), {32, 16, 1}, {32, 16}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_opt_step_adamw_f32, "opt_step_adamw_f32", opt_step_adamw_f32_len, opt_step_adamw_f32_data, "main", 5, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
@@ -4528,6 +4719,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 }
 
 static bool ggml_vk_khr_cooperative_matrix_support(const vk::PhysicalDeviceProperties& props, const vk::PhysicalDeviceDriverProperties& driver_props, vk_device_architecture arch);
+static uint32_t ggml_vk_intel_shader_core_count(const vk::PhysicalDevice& vkdev);
 
 static vk_device ggml_vk_get_device(size_t idx) {
     VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")");
@@ -4744,6 +4936,8 @@ static vk_device ggml_vk_get_device(size_t idx) {
             device->shader_core_count = sm_props.shaderSMCount;
         } else if (amd_shader_core_properties2) {
             device->shader_core_count = amd_shader_core_properties2_props.activeComputeUnitCount;
+        } else if (device->vendor_id == VK_VENDOR_ID_INTEL) {
+            device->shader_core_count = ggml_vk_intel_shader_core_count(device->physical_device);
         } else {
             device->shader_core_count = 0;
         }
@@ -4963,11 +5157,7 @@ static vk_device ggml_vk_get_device(size_t idx) {
 
 #if defined(VK_KHR_cooperative_matrix)
         device->coopmat_support = device->coopmat_support && coopmat_features.cooperativeMatrix;
-
-        // coopmat1 fa shader currently assumes 32 invocations per subgroup
-        device->coopmat1_fa_support = device->coopmat_support && device->subgroup_require_full_support &&
-                                      device->subgroup_size_control && device->subgroup_min_size <= 32 &&
-                                      device->subgroup_max_size >= 32;
+        device->coopmat1_fa_support = device->coopmat_support && device->subgroup_require_full_support;
 #endif
 
         if (coopmat2_support) {
@@ -5251,13 +5441,19 @@ static vk_device ggml_vk_get_device(size_t idx) {
 
         ggml_vk_load_shaders(device);
 
+        const bool prefers_transfer_queue = device->vendor_id == VK_VENDOR_ID_AMD && device->architecture != AMD_GCN;
+
         if (!device->single_queue) {
             const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0;
             ggml_vk_create_queue(device, device->transfer_queue, transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer }, true);
+
+            device->async_use_transfer_queue = prefers_transfer_queue || (getenv("GGML_VK_ASYNC_USE_TRANSFER_QUEUE") != nullptr);
         } else {
             // TODO: Use pointer or reference to avoid copy
             device->transfer_queue.copyFrom(device->compute_queue);
             device->transfer_queue.cmd_pool.init(device, &device->transfer_queue);
+
+            device->async_use_transfer_queue = false;
         }
 
         device->buffer_type = {
@@ -5535,6 +5731,10 @@ static void ggml_vk_instance_init() {
     vk_perf_logger_concurrent = getenv("GGML_VK_PERF_LOGGER_CONCURRENT") != nullptr;
     vk_enable_sync_logger = getenv("GGML_VK_SYNC_LOGGER") != nullptr;
     vk_memory_logger_enabled = getenv("GGML_VK_MEMORY_LOGGER") != nullptr;
+    const char* GGML_VK_PIPELINE_STATS = getenv("GGML_VK_PIPELINE_STATS");
+    if (GGML_VK_PIPELINE_STATS != nullptr) {
+        vk_pipeline_stats_filter = GGML_VK_PIPELINE_STATS;
+    }
     const char* GGML_VK_PERF_LOGGER_FREQUENCY = getenv("GGML_VK_PERF_LOGGER_FREQUENCY");
 
     if (GGML_VK_PERF_LOGGER_FREQUENCY != nullptr) {
@@ -5641,6 +5841,10 @@ static void ggml_vk_instance_init() {
                             driver_priorities[vk::DriverId::eMesaNvk] = 2;
 #endif
                             break;
+                        case VK_VENDOR_ID_QUALCOMM:
+                            driver_priorities[vk::DriverId::eQualcommProprietary] = 1;
+                            driver_priorities[vk::DriverId::eMesaTurnip] = 2;
+                            break;
                     }
                     driver_priorities[vk::DriverId::eMesaDozen] = 100;
 
@@ -5723,6 +5927,15 @@ static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) {
     ctx->almost_ready_fence = ctx->device->device.createFence({});
 
     ctx->compute_cmd_pool.init(ctx->device, &ctx->device->compute_queue);
+    if (ctx->device->async_use_transfer_queue) {
+        vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eTimeline, 0 };
+        vk::SemaphoreCreateInfo ci{};
+        ci.setPNext(&tci);
+        ctx->transfer_semaphore.s = ctx->device->device.createSemaphore(ci);
+        ctx->transfer_semaphore.value = 0;
+
+        ctx->transfer_cmd_pool.init(ctx->device, &ctx->device->transfer_queue);
+    }
 
     if (vk_perf_logger_enabled) {
         ctx->perf_logger = std::unique_ptr<vk_perf_logger>(new vk_perf_logger());
@@ -6175,13 +6388,24 @@ static vk_subbuffer ggml_vk_tensor_subbuffer(
     return vk_subbuffer{buffer, offset, size};
 }
 
+// Get a command buffer from pool. Create a new one if no reusable buffer is available
+static vk_command_buffer* ggml_vk_get_or_create_cmd_buffer(vk_device& device, vk_command_pool& pool) {
+    for (auto& cmd_buffer : pool.cmd_buffers) {
+        if (!cmd_buffer.in_use) {
+            cmd_buffer.in_use = true;
+            return &cmd_buffer;
+        }
+    }
+    return ggml_vk_create_cmd_buffer(device, pool);
+}
+
 static vk_submission ggml_vk_begin_submission(vk_device& device, vk_command_pool& p, bool one_time = true) {
     vk_submission s;
-    s.buffer = ggml_vk_create_cmd_buffer(device, p);
+    s.buffer = ggml_vk_get_or_create_cmd_buffer(device, p);
     if (one_time) {
-        s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit });
+        s.buffer->buf.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit });
     } else {
-        s.buffer.begin({ vk::CommandBufferUsageFlags{} });
+        s.buffer->buf.begin({ vk::CommandBufferUsageFlags{} });
     }
 
     return s;
@@ -6234,18 +6458,18 @@ static void ggml_vk_dispatch_pipeline(ggml_backend_vk_context* ctx, vk_context&
     vk::WriteDescriptorSet write_descriptor_set{ descriptor_set, 0, 0, pipeline->parameter_count, vk::DescriptorType::eStorageBuffer, nullptr, descriptor_buffer_infos.begin() };
     ctx->device->device.updateDescriptorSets({ write_descriptor_set }, {});
 
-    subctx->s->buffer.pushConstants(pipeline->layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size(push_constants), push_constant_data(push_constants));
-    subctx->s->buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline->pipeline);
-    subctx->s->buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute,
+    subctx->s->buffer->buf.pushConstants(pipeline->layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size(push_constants), push_constant_data(push_constants));
+    subctx->s->buffer->buf.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline->pipeline);
+    subctx->s->buffer->buf.bindDescriptorSets(vk::PipelineBindPoint::eCompute,
                                 pipeline->layout,
                                 0,
                                 { descriptor_set },
                                 {});
-    subctx->s->buffer.dispatch(wg0, wg1, wg2);
+    subctx->s->buffer->buf.dispatch(wg0, wg1, wg2);
 }
 
 static void ggml_vk_end_submission(vk_submission& s, std::vector<vk_semaphore> wait_semaphores, std::vector<vk_semaphore> signal_semaphores) {
-    s.buffer.end();
+    s.buffer->buf.end();
 
     s.wait_semaphores = std::move(wait_semaphores);
     s.signal_semaphores = std::move(signal_semaphores);
@@ -6257,7 +6481,7 @@ static void ggml_vk_ctx_end(vk_context& ctx) {
         return;
     }
 
-    ctx->s->buffer.end();
+    ctx->s->buffer->buf.end();
     ctx->s = nullptr;
 }
 
@@ -6271,6 +6495,47 @@ static void ggml_vk_ctx_begin(vk_device& device, vk_context& subctx) {
     subctx->s = subctx->seqs[subctx->seqs.size() - 1].data();
 }
 
+static vk_context ggml_vk_get_compute_ctx(ggml_backend_vk_context * ctx) {
+    if (!ctx->compute_ctx.expired()) {
+        return ctx->compute_ctx.lock();
+    }
+
+    vk_context result = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
+
+    ctx->compute_ctx = result;
+    ggml_vk_ctx_begin(ctx->device, result);
+
+    if (ctx->device->async_use_transfer_queue && ctx->transfer_semaphore_last_submitted < ctx->transfer_semaphore.value) {
+        result->s->wait_semaphores.push_back(ctx->transfer_semaphore);
+        ctx->transfer_semaphore_last_submitted = ctx->transfer_semaphore.value;
+    }
+
+    return result;
+}
+
+// Submit any pending transfer queue work and signal the transfer semaphore.
+// The next compute context created via ggml_vk_get_compute_ctx will wait on this semaphore.
+// Returns true if work was submitted.
+static bool ggml_vk_submit_transfer_ctx(ggml_backend_vk_context * ctx) {
+    if (!ctx->device->async_use_transfer_queue || ctx->transfer_ctx.expired()) {
+        return false;
+    }
+
+    vk_context cpy_ctx = ctx->transfer_ctx.lock();
+    ggml_vk_ctx_end(cpy_ctx);
+
+    for (auto& cpy : cpy_ctx->in_memcpys) {
+        memcpy(cpy.dst, cpy.src, cpy.n);
+    }
+
+    ctx->transfer_semaphore.value++;
+    cpy_ctx->seqs.back().back().signal_semaphores.push_back(ctx->transfer_semaphore);
+
+    ggml_vk_submit(cpy_ctx, {});
+    ctx->transfer_ctx.reset();
+    return true;
+}
+
 static size_t ggml_vk_align_size(size_t width, size_t align) {
     VK_LOG_DEBUG("ggml_vk_align_size(" << width << ", " << align << ")");
     return CEIL_DIV(width, align) * align;
@@ -6370,7 +6635,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
         }
 
         ggml_vk_sync_buffers(ctx, subctx);
-        subctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices);
+        subctx->s->buffer->buf.copyBuffer(buf->buffer, dst->buffer, slices);
         return;
     }
 
@@ -6385,7 +6650,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
     VkBufferCopy buf_copy{ 0, offset, copy_size };
 
     ggml_vk_sync_buffers(ctx, subctx);
-    vkCmdCopyBuffer(subctx->s->buffer, (VkBuffer)staging->buffer, (VkBuffer)dst->buffer, 1, &buf_copy);
+    vkCmdCopyBuffer(subctx->s->buffer->buf, (VkBuffer)staging->buffer, (VkBuffer)dst->buffer, 1, &buf_copy);
 
     for (uint64_t i3 = 0; i3 < ne3; i3++) {
         for (uint64_t i2 = 0; i2 < ne2; i2++) {
@@ -6434,7 +6699,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz
         }
 
         ggml_vk_sync_buffers(nullptr, subctx);
-        subctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices);
+        subctx->s->buffer->buf.copyBuffer(buf->buffer, dst->buffer, slices);
         return true;
     }
     VK_LOG_DEBUG("STAGING");
@@ -6456,7 +6721,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz
         copy_size};
 
     ggml_vk_sync_buffers(nullptr, subctx);
-    vkCmdCopyBuffer(subctx->s->buffer, (VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, 1, &buf_copy);
+    vkCmdCopyBuffer(subctx->s->buffer->buf, (VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, 1, &buf_copy);
 
     if (width == spitch) {
         deferred_memcpy((uint8_t *)staging_buffer->ptr, src, width * height, &subctx->in_memcpys);
@@ -6542,7 +6807,7 @@ static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size
     if (buf != nullptr) {
         // Memory is pinned, use as staging buffer
         ggml_vk_sync_buffers(nullptr, subctx);
-        subctx->s->buffer.copyBuffer(src->buffer, buf->buffer, slices);
+        subctx->s->buffer->buf.copyBuffer(src->buffer, buf->buffer, slices);
 
         return true;
     }
@@ -6560,7 +6825,7 @@ static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size
     vk_buffer& staging_buffer = src->device->sync_staging;
 
     ggml_vk_sync_buffers(nullptr, subctx);
-    subctx->s->buffer.copyBuffer(src->buffer, staging_buffer->buffer, slices);
+    subctx->s->buffer->buf.copyBuffer(src->buffer, staging_buffer->buffer, slices);
 
     deferred_memcpy(dst, staging_buffer->ptr, copy_size, &subctx->out_memcpys);
     return true;
@@ -6607,7 +6872,7 @@ static void ggml_vk_buffer_copy_async(vk_context& ctx, vk_buffer& dst, size_t ds
 
     VkBufferCopy bc{ src_offset, dst_offset, size };
 
-    vkCmdCopyBuffer(ctx->s->buffer, (VkBuffer)src->buffer, (VkBuffer)dst->buffer, 1, &bc);
+    vkCmdCopyBuffer(ctx->s->buffer->buf, (VkBuffer)src->buffer, (VkBuffer)dst->buffer, 1, &bc);
 }
 
 static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) {
@@ -6645,7 +6910,7 @@ static void ggml_vk_buffer_memset_async(vk_context& ctx, vk_buffer& dst, size_t
     }
 
     // Fall back to GPU fillBuffer for non-UMA or non-host-visible buffers
-    ctx->s->buffer.fillBuffer(dst->buffer, offset, size, c);
+    ctx->s->buffer->buf.fillBuffer(dst->buffer, offset, size, c);
 }
 
 static void ggml_vk_buffer_memset(vk_buffer& dst, size_t offset, uint32_t c, size_t size) {
@@ -6660,7 +6925,7 @@ static void ggml_vk_buffer_memset(vk_buffer& dst, size_t offset, uint32_t c, siz
     std::lock_guard<std::recursive_mutex> guard(dst->device->mutex);
     vk_context subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue.cmd_pool);
     ggml_vk_ctx_begin(dst->device, subctx);
-    subctx->s->buffer.fillBuffer(dst->buffer, offset, size, c);
+    subctx->s->buffer->buf.fillBuffer(dst->buffer, offset, size, c);
     ggml_vk_ctx_end(subctx);
 
     ggml_vk_submit(subctx, dst->device->fence);
@@ -6766,8 +7031,16 @@ static void ggml_vk_matmul(
         uint32_t padded_n) {
         VK_LOG_DEBUG("ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << (split_k_buffer.buffer != nullptr ? split_k_buffer.buffer->buffer : VK_NULL_HANDLE) << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", padded_n: " << padded_n << ")");
     if (split_k == 1) {
-        const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, k, ne02, ne12, broadcast2, broadcast3, padded_n };
-        ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, d }, pc, { m, n, batch });
+        ggml_pipeline_request_descriptor_sets(ctx, pipeline, CEIL_DIV(batch, ctx->device->properties.limits.maxComputeWorkGroupCount[2]));
+
+        uint32_t base_work_group_z = 0;
+        while (base_work_group_z < batch) {
+            uint32_t groups_z = std::min(batch - base_work_group_z, ctx->device->properties.limits.maxComputeWorkGroupCount[2]);
+
+            const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, base_work_group_z, batch, k, ne02, ne12, broadcast2, broadcast3, padded_n };
+            ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, d }, pc, { m, n, groups_z });
+            base_work_group_z += groups_z;
+        }
         return;
     }
 
@@ -6781,9 +7054,17 @@ static void ggml_vk_matmul(
     uint32_t k_split = CEIL_DIV(k, split_k);
     k_split = ROUNDUP_POW2(k_split, 256);
 
-    const vk_mat_mat_push_constants pc1 = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, k_split, ne02, ne12, broadcast2, broadcast3, padded_n };
-    // Make sure enough workgroups get assigned for split k to work
-    ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, split_k_buffer }, pc1, { (CEIL_DIV(m, pipeline->wg_denoms[0]) * pipeline->wg_denoms[0]) * split_k, n, batch });
+    ggml_pipeline_request_descriptor_sets(ctx, pipeline, CEIL_DIV(batch, ctx->device->properties.limits.maxComputeWorkGroupCount[2]));
+
+    uint32_t base_work_group_z = 0;
+    while (base_work_group_z < batch) {
+        uint32_t groups_z = std::min(batch - base_work_group_z, ctx->device->properties.limits.maxComputeWorkGroupCount[2]);
+
+        const vk_mat_mat_push_constants pc1 = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, base_work_group_z, batch, k_split, ne02, ne12, broadcast2, broadcast3, padded_n };
+        // Make sure enough workgroups get assigned for split k to work
+        ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, split_k_buffer }, pc1, { (CEIL_DIV(m, pipeline->wg_denoms[0]) * pipeline->wg_denoms[0]) * split_k, n, groups_z });
+        base_work_group_z += groups_z;
+    }
     ggml_vk_sync_buffers(ctx, subctx);
     const std::array<uint32_t, 2> pc2 = { (uint32_t)(m * n * batch), split_k };
     ggml_vk_dispatch_pipeline(ctx, subctx, ctx->device->pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2, { m * n * batch, 1, 1 });
@@ -7179,7 +7460,6 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub
         }
 
         // Request descriptor sets
-        ggml_pipeline_request_descriptor_sets(ctx, pipeline, 1);
         if (qx_needs_dequant) {
             ggml_pipeline_request_descriptor_sets(ctx, to_fp16_vk_0, 1);
         }
@@ -7349,6 +7629,18 @@ static bool ggml_vk_should_use_mmvq(const vk_device& device, uint32_t m, uint32_
             return false;
         }
 
+        if (device->driver_id == vk::DriverId::eIntelProprietaryWindows) {
+            // Intel Windows proprietary driver tuning
+            switch (src0_type) {
+            case GGML_TYPE_MXFP4:
+            case GGML_TYPE_Q4_K:
+            case GGML_TYPE_Q5_K:
+                return false;
+            default:
+                return true;
+            }
+        }
+
         switch (src0_type) {
         // From tests on A770 Linux, may need more tuning
         case GGML_TYPE_Q4_0:
@@ -7477,7 +7769,6 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context&
         if (quantize_y) {
             ggml_pipeline_request_descriptor_sets(ctx, to_q8_1, 1);
         }
-        ggml_pipeline_request_descriptor_sets(ctx, dmmv, 1);
     }
 
     vk_subbuffer d_D = ggml_vk_tensor_subbuffer(ctx, cgraph->nodes[node_idx + ctx->num_additional_fused_ops]);
@@ -7572,22 +7863,29 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context&
         fusion_flags |= MAT_VEC_FUSION_FLAGS_BIAS1;
     }
 
-    // compute
-    const vk_mat_vec_push_constants pc = {
-        (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01,
-        stride_batch_x, stride_batch_y, stride_batch_d,
-        fusion_flags,
-        (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3,
-    };
-    ggml_vk_dispatch_pipeline(ctx, subctx, dmmv,
-                              {
-                                d_X,
-                                d_Y,
-                                d_D,
-                                d_F0,
-                                d_F1,
-                              },
-                              pc, { groups_x, (uint32_t)(ne12 * ne13), groups_z });
+    ggml_pipeline_request_descriptor_sets(ctx, dmmv, CEIL_DIV(ne12 * ne13, ctx->device->properties.limits.maxComputeWorkGroupCount[1]));
+
+    uint32_t base_work_group_y = 0;
+    while (base_work_group_y < ne12 * ne13) {
+
+        uint32_t groups_y = std::min((uint32_t)(ne12 * ne13) - base_work_group_y, ctx->device->properties.limits.maxComputeWorkGroupCount[1]);
+        const vk_mat_vec_push_constants pc = {
+            (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01,
+            stride_batch_x, stride_batch_y, stride_batch_d,
+            fusion_flags, base_work_group_y,
+            (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3,
+        };
+        ggml_vk_dispatch_pipeline(ctx, subctx, dmmv,
+                                  {
+                                    d_X,
+                                    d_Y,
+                                    d_D,
+                                    d_F0,
+                                    d_F1,
+                                  },
+                                  pc, { groups_x, groups_y, groups_z });
+        base_work_group_y += groups_y;
+    }
 
     if (x_non_contig) {
         ctx->prealloc_x_need_sync = true;
@@ -7825,10 +8123,15 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context& subctx, c
         src1->nb[2] <= src1->nb[1] &&
         src1->nb[1] <= src1->nb[3] &&
         src0->ne[3] == 1 &&
-        src1->ne[3] == 1) {
+        src1->ne[3] == 1 &&
+        src0->ne[1] <= ctx->device->properties.limits.maxComputeWorkGroupCount[1] &&
+        src1->ne[2] <= ctx->device->properties.limits.maxComputeWorkGroupCount[2]) {
         ggml_vk_mul_mat_vec_p021_f16_f32(ctx, subctx, cgraph, node_idx);
     } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && dst->ne[1] == 1 &&
-               !ggml_is_permuted(src0) && !ggml_is_permuted(src1)) {
+               !ggml_is_permuted(src0) && !ggml_is_permuted(src1) &&
+               src0->ne[3] <= ctx->device->properties.limits.maxComputeWorkGroupCount[0] &&
+               src0->ne[1] <= ctx->device->properties.limits.maxComputeWorkGroupCount[1] &&
+               src1->ne[2] <= ctx->device->properties.limits.maxComputeWorkGroupCount[2]) {
         ggml_vk_mul_mat_vec_nc_f16_f32(ctx, subctx, cgraph, node_idx);
     // mul_mat_vec supports batching ne12*ne13 when ne11==1, or treating ne11 as the batch size (up to four)
     // when ne12 and ne13 are one.
@@ -8384,21 +8687,27 @@ static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context& subctx
     }
 }
 
-static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const uint32_t hsk, uint32_t hsv, bool small_cache) {
+static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc) {
+    GGML_UNUSED(f32acc);
     // Needs to be kept up to date on shader changes
-    GGML_UNUSED(hsv);
-    const uint32_t wg_size = scalar_flash_attention_workgroup_size;
-    const uint32_t Br = get_fa_scalar_num_large_rows(hsk, hsv, small_cache);
-    const uint32_t Bc = scalar_flash_attention_Bc;
+    const uint32_t wg_size = params.workgroup_size;
+    const uint32_t Br = params.block_rows;
+    const uint32_t Bc = params.block_cols;
+
+    const uint32_t float_type_size = device->fp16 ? sizeof(ggml_fp16_t) : sizeof(float);
 
+    // tmpsh is overestimated slightly
     const uint32_t tmpsh = wg_size * sizeof(float);
-    const uint32_t tmpshv4 = wg_size * 4 * sizeof(float);
+    const uint32_t tmpshv4 = wg_size * 4 * float_type_size;
 
-    const uint32_t masksh = Bc * Br * sizeof(float);
+    const uint32_t masksh = Bc * (Br + 1) * float_type_size;
 
-    const uint32_t Qf = Br * (hsk / 4 + 2) * 4 * sizeof(float);
+    const uint32_t Qf = Br * (hsk / 4 + 1) * 4 * float_type_size;
 
-    const uint32_t total_size = tmpsh + tmpshv4 + masksh + Qf;
+    const uint32_t D = std::max(hsk, hsv);
+    const uint32_t kvsh = params.shmem_staging ? Bc * (D / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
+
+    const uint32_t total_size = tmpsh + tmpshv4 + masksh + Qf + kvsh;
     const bool supported = total_size <= device->properties.limits.maxComputeSharedMemorySize;
 
     VK_LOG_DEBUG("ggml_vk_flash_attn_scalar_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", total_size=" << total_size << ", supported=" << supported);
@@ -8406,22 +8715,23 @@ static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, con
     return supported;
 }
 
-static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, const uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type) {
+static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc) {
     // Needs to be kept up to date on shader changes
-    GGML_UNUSED(hsv);
-    const auto rows_cols = fa_rows_cols(FA_COOPMAT1, hsk, hsv, 0, kv_type, false, false);
-    const uint32_t Br = rows_cols[0];
-    const uint32_t Bc = rows_cols[1];
+    const uint32_t Br = params.block_rows;
+    const uint32_t Bc = params.block_cols;
 
     const uint32_t MatBr = 16, MatBc = 16;
 
     const uint32_t row_split = Bc / MatBc;
 
     const uint32_t hsk_pad = ROUNDUP_POW2(hsk, 16);
+    const uint32_t hsv_pad = ROUNDUP_POW2(hsv, 16);
 
     const uint32_t acctype = f32acc ? 4 : 2;
     const uint32_t f16vec4 = 8;
 
+    const uint32_t tmpsh = (Bc / MatBc) * sizeof(float);
+
     const uint32_t qstride = hsk_pad / 4 + 2;
     const uint32_t Qf = Br * qstride * f16vec4;
 
@@ -8431,17 +8741,19 @@ static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, co
     const uint32_t sfshstride = (hsk <= 128) ? (Br + 8) : Br;
     const uint32_t sfsh = Bc * sfshstride * acctype;
 
-    const bool k_load_shmem = device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256;
-    const uint32_t kshstride = (k_load_shmem ? hsk_pad : MatBr) / 4 + 2;
+    const uint32_t kvshstride = (params.shmem_staging ? std::max(hsk_pad, hsv_pad) : MatBr) / 4 + 2;
     const uint32_t vsh_stride = MatBc / 4 * row_split;
-    const uint32_t ksh = ((kshstride >= vsh_stride) ? (Bc * kshstride) : (Bc * vsh_stride)) * f16vec4;
+    const uint32_t ksh = ((kvshstride >= vsh_stride) ? (Bc * kvshstride) : (Bc * vsh_stride)) * f16vec4;
+
+    const uint32_t osh_stride = params.row_split * MatBr / 4;
+    const uint32_t pvsh = MatBc * osh_stride * f16vec4;
 
     const uint32_t slope = Br * acctype;
 
-    const uint32_t total_size = Qf + Psh + sfsh + ksh + slope;
+    const uint32_t total_size = tmpsh + Qf + Psh + sfsh + ksh + pvsh + slope;
     const bool supported = total_size <= device->properties.limits.maxComputeSharedMemorySize;
 
-    VK_LOG_DEBUG("ggml_vk_flash_attn_coopmat_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", f32acc=" << f32acc << ", kv_type=" << kv_type << ", total_size=" << total_size << ", supported=" << supported);
+    VK_LOG_DEBUG("ggml_vk_flash_attn_coopmat_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", f32acc=" << f32acc << ", total_size=" << total_size << ", supported=" << supported);
 
     return supported;
 }
@@ -8499,48 +8811,18 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
     assert(q->type == GGML_TYPE_F32);
     assert(k->type == v->type);
 
-    FaCodePath path = ctx->device->coopmat2 ? FA_COOPMAT2 :
-                      ctx->device->coopmat1_fa_support ? FA_COOPMAT1 : FA_SCALAR;
-
-    if (path == FA_COOPMAT1 && ctx->device->architecture == vk_device_architecture::NVIDIA_TURING) {
-        // Nvidia compiler bug, see https://github.com/ggml-org/llama.cpp/pull/19075#issuecomment-3820716090
-        path = FA_SCALAR;
-    }
-
-    if (path == FA_COOPMAT1) {
-        const bool coopmat_shape_supported = (dst->op_params[3] == GGML_PREC_F32 && ctx->device->coopmat_support_16x16x16_f32acc) ||
-                                             (dst->op_params[3] != GGML_PREC_F32 && ctx->device->coopmat_support_16x16x16_f16acc);
-
-        const bool coopmat_shmem_supported = ggml_vk_flash_attn_coopmat_shmem_support(ctx->device, HSK, HSV, dst->op_params[3] == GGML_PREC_F32, k->type);
-
-        if (!coopmat_shape_supported || !coopmat_shmem_supported) {
-            path = FA_SCALAR;
-        }
-    }
-
     uint32_t gqa_ratio = 1;
     uint32_t qk_ratio = neq2 / nek2;
     uint32_t workgroups_x = (uint32_t)neq1;
     uint32_t workgroups_y = (uint32_t)neq2;
     uint32_t workgroups_z = (uint32_t)neq3;
 
-    const bool small_cache = nek1 < 1024;
+    const bool f32acc = !ctx->device->fp16 || dst->op_params[3] == GGML_PREC_F32;
 
     // For scalar/coopmat1 FA, we can use the "large" size to accommodate qga.
     // For coopmat2 FA, we always use the small size (which is still pretty large for gqa).
-    uint32_t max_gqa;
-    switch (path) {
-    case FA_SCALAR:
-    case FA_COOPMAT1:
-        // We may switch from coopmat1 to scalar, so use the scalar limit for both
-        max_gqa = get_fa_scalar_num_large_rows(HSK, HSV, small_cache);
-        break;
-    case FA_COOPMAT2:
-        max_gqa = get_fa_num_small_rows(FA_COOPMAT2);
-        break;
-    default:
-        GGML_ASSERT(0);
-    }
+    vk_fa_tuning_params tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, 512, KV, k->type, f32acc);
+    const uint32_t max_gqa = std::min(tuning_params.block_rows, 32u);
 
     if (N <= 8 && qk_ratio > 1 && qk_ratio <= max_gqa &&
         qk_ratio * nek2 == neq2 && nek2 == nev2 && nem2 <= 1) {
@@ -8552,24 +8834,7 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
         workgroups_y /= gqa_ratio;
     }
 
-    bool small_rows = N <= get_fa_num_small_rows(path);
-
-    // coopmat1 does not actually support "small rows" (it needs 16 rows).
-    // So use scalar instead.
-    if (small_rows && path == FA_COOPMAT1) {
-        path = FA_SCALAR;
-    }
-
-    // scalar is faster than coopmat2 when N==1
-    if (N == 1 && path == FA_COOPMAT2) {
-        path = FA_SCALAR;
-    }
-
-    // with large hsk/hsv, scalar path may need to use small_rows to fit in shared memory
-    if (path == FA_SCALAR &&
-        !ggml_vk_flash_attn_scalar_shmem_support(ctx->device, HSK, HSV, small_cache)) {
-        small_rows = true;
-    }
+    tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, N, KV, k->type, f32acc);
 
     const uint32_t q_stride = (uint32_t)(nbq1 / ggml_type_size(q->type));
     uint32_t k_stride = (uint32_t)(nbk1 / ggml_type_size(k->type));
@@ -8583,18 +8848,16 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
         v_stride /= 4;
     }
 
-    uint32_t alignment = fa_align(path, HSK, HSV, k->type, small_rows, small_cache);
+    const uint32_t alignment = tuning_params.block_cols;
     bool aligned = (KV % alignment) == 0 &&
                    // the "aligned" shader variant will forcibly align strides, for performance
                    (q_stride & 7) == 0 && (k_stride & 7) == 0 && (v_stride & 7) == 0;
 
     // Need to use the coopmat2 variant that clamps loads when HSK/HSV aren't sufficiently aligned.
-    if (((HSK | HSV) % 16) != 0 && path == FA_COOPMAT2) {
+    if (((HSK | HSV) % 16) != 0 && tuning_params.path == FA_COOPMAT2) {
         aligned = false;
     }
 
-    bool f32acc = path == FA_SCALAR || dst->op_params[3] == GGML_PREC_F32;
-
     float scale         = 1.0f;
     float max_bias      = 0.0f;
     float logit_softcap = 0.0f;
@@ -8608,13 +8871,9 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
     }
 
     // Only use mask opt when the mask is fairly large. This hasn't been tuned extensively.
-    bool use_mask_opt = mask && nem1 >= 32 && nem0 * nem1 > 32768;
-
-    uint32_t flags = (use_mask_opt       ? 1 : 0) |
-                     (mask != nullptr    ? 2 : 0) |
-                     (logit_softcap != 0 ? 4 : 0);
-
-    vk_fa_pipeline_state fa_pipeline_state(HSK, HSV, small_rows, small_cache, path, aligned, f32acc, flags);
+    bool use_mask_opt = mask && nem1 >= 32 && nem0 * nem1 > 32768 && nem0 >= tuning_params.block_cols * 16;
+    vk_fa_pipeline_state fa_pipeline_state = get_fa_pipeline_state(ctx->device, tuning_params, HSK, HSV, aligned, f32acc,
+                                                                   mask != nullptr, use_mask_opt, logit_softcap != 0);
 
     vk_pipeline pipeline = nullptr;
 
@@ -8636,22 +8895,35 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
     uint32_t split_kv = KV;
     uint32_t split_k = 1;
 
+    // Intel Alchemist prefers more workgroups
+    const uint32_t shader_core_count_multiplier = (ctx->device->vendor_id == VK_VENDOR_ID_INTEL && ctx->device->architecture != INTEL_XE2) ? 2 : 1;
+
     // Use a placeholder core count if one isn't available. split_k is a big help for perf.
-    const uint32_t shader_core_count = ctx->device->shader_core_count ? ctx->device->shader_core_count : 16;
+    const uint32_t shader_core_count = ctx->device->shader_core_count ? ctx->device->shader_core_count * shader_core_count_multiplier : 16;
+
+    const uint32_t Br = fa_pipeline_state.Br;
+    const uint32_t Bc = fa_pipeline_state.Bc;
+
+    GGML_ASSERT(Br == pipeline->wg_denoms[0]);
+    const uint32_t Tr = CEIL_DIV(N, Br);
 
     // Try to use split_k when KV is large enough to be worth the overhead.
-    // Must either be a single batch or be using gqa, we can't mix the two.
-    if (workgroups_x <= pipeline->wg_denoms[0] && (workgroups_x == 1 || gqa_ratio > 1)) {
-        // Try to run two workgroups per SM.
+    if (gqa_ratio > 1 && workgroups_x <= Br) {
         split_k = shader_core_count * 2 / (workgroups_x * workgroups_y * workgroups_z);
-        if (split_k > 1) {
-            // Try to evenly split KV into split_k chunks, but it needs to be a multiple
-            // of "align", so recompute split_k based on that.
-            split_kv = ROUNDUP_POW2(std::max(1u, KV / split_k), alignment);
-            split_k = CEIL_DIV(KV, split_kv);
+    } else if (gqa_ratio <= 1) {
+        uint32_t total_wgs_no_split = Tr * workgroups_y * workgroups_z;
+        if (total_wgs_no_split < shader_core_count * 2) {
+            split_k = shader_core_count * 2 / total_wgs_no_split;
         }
     }
 
+    if (split_k > 1) {
+        // Try to evenly split KV into split_k chunks, but it needs to be a multiple
+        // of "align", so recompute split_k based on that.
+        split_kv = ROUNDUP_POW2(std::max(1u, KV / split_k), alignment);
+        split_k = CEIL_DIV(KV, split_kv);
+    }
+
     // Reserve space for split_k temporaries. For each split x batch, we need to store the O matrix (D x ne1)
     // and the per-row m and L values (ne1 rows). We store all the matrices first, followed by the rows.
     // For matrices, the order is (inner to outer) [HSV, ne1, k, ne2, ne3].
@@ -8665,10 +8937,6 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
         ggml_vk_preallocate_buffers(ctx, subctx);
     }
 
-    auto rows_cols = fa_rows_cols(path, HSK, HSV, !aligned, k->type, small_rows, small_cache);
-    const uint32_t Br = rows_cols[0];
-    const uint32_t Bc = rows_cols[1];
-
     const uint32_t mask_opt_num_dwords = CEIL_DIV(nem0, 16 * Bc);
     const uint64_t mask_opt_size = sizeof(uint32_t) * mask_opt_num_dwords * CEIL_DIV(nem1, Br) * nem2 * nem3;
 
@@ -8748,15 +9016,21 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
         if (ctx->prealloc_split_k_need_sync) {
             ggml_vk_sync_buffers(ctx, subctx);
         }
-        workgroups_x *= pipeline->wg_denoms[0];
+
+        // We reuse workgroups_x to mean the number of splits, so we need to
+        // cancel out the divide by wg_denoms[0].
+        uint32_t dispatch_x;
+        if (gqa_ratio > 1) {
+            workgroups_x *= pipeline->wg_denoms[0];
+            dispatch_x = split_k * workgroups_x;
+        } else {
+            dispatch_x = Tr * split_k * pipeline->wg_denoms[0];
+        }
+
         vk_subbuffer split_k_buf = ggml_vk_subbuffer(ctx, ctx->prealloc_split_k, 0);
         ggml_vk_dispatch_pipeline(ctx, subctx, pipeline,
                                     {q_buf, k_buf, v_buf, mask_buf, sinks_buf, split_k_buf, mask_opt_buf},
-                                    // We only use split_k when group query attention is enabled, which means
-                                    // there's no more than one tile of rows (i.e. workgroups_x would have been
-                                    // one). We reuse workgroups_x to mean the number of splits, so we need to
-                                    // cancel out the divide by wg_denoms[0].
-                                    pc, { split_k * workgroups_x, workgroups_y, workgroups_z });
+                                    pc, { dispatch_x, workgroups_y, workgroups_z });
 
         ggml_vk_sync_buffers(ctx, subctx);
         const vk_op_flash_attn_split_k_reduce_push_constants pc2 = { HSV, (uint32_t)ne1, (uint32_t)ne2, (uint32_t)ne3, split_k, (sinks != nullptr) };
@@ -8815,6 +9089,12 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
             return ctx->device->pipeline_acc_f32;
         }
         return nullptr;
+    case GGML_OP_SET:
+        if (src0->type == src1->type && src0->type == dst->type &&
+            (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32)) {
+            return ctx->device->pipeline_set_f32;
+        }
+        return nullptr;
     case GGML_OP_ADD:
     case GGML_OP_SUB:
     case GGML_OP_MUL:
@@ -9016,6 +9296,8 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
         switch (ggml_get_unary_op(dst)) {
             case GGML_UNARY_OP_EXP:
                 return ctx->device->pipeline_exp[dst->type == GGML_TYPE_F16];
+            case GGML_UNARY_OP_ELU:
+                return ctx->device->pipeline_elu[dst->type == GGML_TYPE_F16];
             case GGML_UNARY_OP_SILU:
                 return ctx->device->pipeline_silu[dst->type == GGML_TYPE_F16];
             case GGML_UNARY_OP_GELU:
@@ -9052,6 +9334,8 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
                 return ctx->device->pipeline_floor[dst->type == GGML_TYPE_F16];
             case GGML_UNARY_OP_TRUNC:
                 return ctx->device->pipeline_trunc[dst->type == GGML_TYPE_F16];
+            case GGML_UNARY_OP_SGN:
+                return ctx->device->pipeline_sgn[dst->type == GGML_TYPE_F16];
             default:
                 break;
         }
@@ -9245,6 +9529,20 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
             return ctx->device->pipeline_rwkv_wkv7_f32;
         }
         return nullptr;
+    case GGML_OP_GATED_DELTA_NET:
+        if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
+            const uint32_t S_v = dst->src[2]->ne[0];
+            const uint32_t kda = (dst->src[3]->ne[0] == (int64_t)S_v) ? 1 : 0;
+            uint32_t si;
+            switch (S_v) {
+                case 32:  si = 0; break;
+                case 64:  si = 1; break;
+                case 128: si = 2; break;
+                default: return nullptr;
+            }
+            return ctx->device->pipeline_gated_delta_net[si][kda];
+        }
+        return nullptr;
     case GGML_OP_SSM_SCAN:
         if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
             const uint32_t d_state = src0->ne[0];
@@ -9801,16 +10099,16 @@ static void ggml_vk_acc(ggml_backend_vk_context * ctx, vk_context& subctx, const
     const uint32_t src1_type_size = ggml_type_size(src1->type);
     const uint32_t dst_type_size = ggml_type_size(dst->type);
 
-    int nb1 = dst->op_params[0] / 4; // 4 bytes of float32
-    int nb2 = dst->op_params[1] / 4; // 4 bytes of float32
-    // int nb3 = dst->op_params[2] / 4; // 4 bytes of float32 - unused
-    int offset = dst->op_params[3] / 4; // offset in bytes
+    int nb1 = dst->op_params[0] / src0_type_size; // 4 bytes of float32
+    int nb2 = dst->op_params[1] / src0_type_size; // 4 bytes of float32
+    int nb3 = dst->op_params[2] / src0_type_size; // 4 bytes of float32
+    int offset = dst->op_params[3] / src0_type_size; // offset in bytes
 
-    ggml_vk_op_f32<vk_op_binary_push_constants>(ctx, subctx, src0, src1, nullptr, nullptr, dst, GGML_OP_ACC, {
+    ggml_vk_op_f32<vk_op_binary_push_constants>(ctx, subctx, src0, src1, nullptr, nullptr, dst, dst->op, {
         (uint32_t)ggml_nelements(src0),
-        (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2],(uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)nb1, (uint32_t)nb2, (uint32_t)src0->nb[3] / src0_type_size,
+        (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2],(uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)nb1, (uint32_t)nb2, (uint32_t)nb3,
         (uint32_t)src1->ne[0], (uint32_t)src1->ne[1], (uint32_t)src1->ne[2],(uint32_t)src1->ne[3], (uint32_t)src1->nb[0] / src1_type_size, (uint32_t)src1->nb[1] / src1_type_size, (uint32_t)src1->nb[2] / src1_type_size, (uint32_t)src1->nb[3] / src1_type_size,
-        (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2],(uint32_t) dst->ne[3], (uint32_t) dst->nb[0] /  dst_type_size, (uint32_t)nb1, (uint32_t)nb2, (uint32_t) dst->nb[3] /  dst_type_size,
+        (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2],(uint32_t) dst->ne[3], (uint32_t) dst->nb[0] /  dst_type_size, (uint32_t)nb1, (uint32_t)nb2, (uint32_t)nb3,
         0,
         0.0f, 0.0f, offset,
     });
@@ -10075,6 +10373,59 @@ static void ggml_vk_rwkv_wkv7(ggml_backend_vk_context * ctx, vk_context& subctx,
     );
 }
 
+static void ggml_vk_gated_delta_net(ggml_backend_vk_context * ctx, vk_context& subctx, ggml_tensor * dst) {
+    const ggml_tensor * src_q     = dst->src[0];
+    const ggml_tensor * src_v     = dst->src[2];
+    const ggml_tensor * src_beta  = dst->src[4];
+
+    GGML_ASSERT(dst->buffer != nullptr);
+
+    const uint32_t S_v      = (uint32_t)src_v->ne[0];
+    const uint32_t H        = (uint32_t)src_v->ne[1];
+    const uint32_t n_tokens = (uint32_t)src_v->ne[2];
+    const uint32_t n_seqs   = (uint32_t)src_v->ne[3];
+
+    const uint32_t s_off = S_v * H * n_tokens * n_seqs;
+
+    vk_pipeline pipeline = ggml_vk_op_get_pipeline(ctx, dst->src[0], dst->src[1], dst->src[2], dst, dst->op);
+    GGML_ASSERT(pipeline != nullptr);
+
+    ggml_pipeline_request_descriptor_sets(ctx, pipeline, 1);
+
+    vk_subbuffer dst_buf = ggml_vk_tensor_subbuffer(ctx, dst);
+    vk_subbuffer src_buf[6] = {};
+    for (int i = 0; i < 6; i++) {
+        src_buf[i] = ggml_vk_tensor_subbuffer(ctx, dst->src[i]);
+    }
+
+    const uint32_t sq1 = (uint32_t)(src_q->nb[1] / sizeof(float));
+    const uint32_t sq2 = (uint32_t)(src_q->nb[2] / sizeof(float));
+    const uint32_t sq3 = (uint32_t)(src_q->nb[3] / sizeof(float));
+    const uint32_t sv1 = (uint32_t)(src_v->nb[1] / sizeof(float));
+    const uint32_t sv2 = (uint32_t)(src_v->nb[2] / sizeof(float));
+    const uint32_t sv3 = (uint32_t)(src_v->nb[3] / sizeof(float));
+    const uint32_t sb1 = (uint32_t)(src_beta->nb[1] / sizeof(float));
+    const uint32_t sb2 = (uint32_t)(src_beta->nb[2] / sizeof(float));
+    const uint32_t sb3 = (uint32_t)(src_beta->nb[3] / sizeof(float));
+
+    const uint32_t neq1 = (uint32_t)src_q->ne[1];
+    const uint32_t rq3  = (uint32_t)(src_v->ne[3] / src_q->ne[3]);
+
+    const float scale = 1.0f / sqrtf((float)S_v);
+    const vk_op_gated_delta_net_push_constants pc = {
+        H, n_tokens, n_seqs, s_off,
+        sq1, sq2, sq3,
+        sv1, sv2, sv3,
+        sb1, sb2, sb3,
+        neq1, rq3,
+        scale
+    };
+
+    ggml_vk_dispatch_pipeline(ctx, subctx, pipeline,
+        {src_buf[0], src_buf[1], src_buf[2], src_buf[3], src_buf[4], src_buf[5], dst_buf},
+        pc, { H, n_seqs, 1u });
+}
+
 static void ggml_vk_ssm_scan(ggml_backend_vk_context * ctx, vk_context& subctx, ggml_tensor * dst) {
     const ggml_tensor * src0 = dst->src[0];
     const ggml_tensor * src1 = dst->src[1];
@@ -10624,8 +10975,10 @@ static void ggml_vk_rms_norm_back(ggml_backend_vk_context * ctx, vk_context& sub
 }
 
 static void ggml_vk_l2_norm(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst) {
-    float * op_params = (float *)dst->op_params;
-    ggml_vk_op_f32<vk_op_push_constants>(ctx, subctx, src0, nullptr, nullptr, nullptr, dst, GGML_OP_L2_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0], 0.0f, 0.0f, 0.0f });
+    const float * op_params = (const float *)dst->op_params;
+    vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst);
+    p.param1 = op_params[0];
+    ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, nullptr, dst, GGML_OP_L2_NORM, std::move(p));
 }
 
 static void ggml_vk_unary(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst) {
@@ -11543,7 +11896,6 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
         }
     }
 
-    ggml_pipeline_request_descriptor_sets(ctx, p, num_it);
     if (split_k > 1) {
         ggml_pipeline_request_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, num_it);
 
@@ -12052,7 +12404,6 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
         // y[i] = i % k;
     }
 
-    ggml_pipeline_request_descriptor_sets(ctx, p, num_it);
     if (split_k > 1) {
         ggml_pipeline_request_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, num_it);
 
@@ -12378,15 +12729,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
         }
     }
 
-    vk_context compute_ctx;
-
-    if (ctx->compute_ctx.expired()) {
-        compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-        ctx->compute_ctx = compute_ctx;
-        ggml_vk_ctx_begin(ctx->device, compute_ctx);
-    } else {
-        compute_ctx = ctx->compute_ctx.lock();
-    }
+    vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx);
 
     {
         // This logic detects dependencies between modes in the graph and calls ggml_vk_sync_buffers
@@ -12457,7 +12800,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
 
             if (vk_perf_logger_enabled && vk_perf_logger_concurrent) {
                 ctx->query_node_idx[ctx->query_idx] = node_idx;
-                compute_ctx->s->buffer.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
+                compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
             }
         }
         // Add all fused nodes to the unsynchronized lists.
@@ -12500,6 +12843,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
 
         break;
     case GGML_OP_ACC:
+    case GGML_OP_SET:
         ggml_vk_acc(ctx, compute_ctx, src0, src1, node);
 
         break;
@@ -12634,6 +12978,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
         }
 
         switch (ggml_get_unary_op(node)) {
+        case GGML_UNARY_OP_ELU:
         case GGML_UNARY_OP_EXP:
         case GGML_UNARY_OP_SILU:
         case GGML_UNARY_OP_GELU:
@@ -12652,6 +12997,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
         case GGML_UNARY_OP_CEIL:
         case GGML_UNARY_OP_FLOOR:
         case GGML_UNARY_OP_TRUNC:
+        case GGML_UNARY_OP_SGN:
             ggml_vk_unary(ctx, compute_ctx, src0, node);
             break;
         case GGML_UNARY_OP_XIELU:
@@ -12796,6 +13142,11 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
 
         break;
 
+    case GGML_OP_GATED_DELTA_NET:
+        ggml_vk_gated_delta_net(ctx, compute_ctx, node);
+
+        break;
+
     case GGML_OP_SSM_SCAN:
         ggml_vk_ssm_scan(ctx, compute_ctx, node);
 
@@ -12903,6 +13254,9 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) {
     ctx->prealloc_x_need_sync = ctx->prealloc_y_need_sync = ctx->prealloc_split_k_need_sync = false;
 
     ggml_vk_command_pool_cleanup(ctx->device, ctx->compute_cmd_pool);
+    if (ctx->device->async_use_transfer_queue) {
+        ggml_vk_command_pool_cleanup(ctx->device, ctx->transfer_cmd_pool);
+    }
 
     for (size_t i = 0; i < ctx->gc.semaphores.size(); i++) {
         ctx->device->device.destroySemaphore({ ctx->gc.semaphores[i].s });
@@ -12964,6 +13318,11 @@ static void ggml_vk_cleanup(ggml_backend_vk_context * ctx) {
     ctx->descriptor_sets.clear();
 
     ctx->compute_cmd_pool.destroy(ctx->device->device);
+    if (ctx->device->async_use_transfer_queue) {
+        ctx->device->device.destroySemaphore(ctx->transfer_semaphore.s);
+
+        ctx->transfer_cmd_pool.destroy(ctx->device->device);
+    }
     if (vk_perf_logger_enabled) {
         ctx->perf_logger->print_timings(true);
     }
@@ -13022,6 +13381,10 @@ static void ggml_backend_vk_buffer_memset_tensor(ggml_backend_buffer_t buffer, g
     ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
     vk_buffer buf = buf_ctx->dev_buffer;
 
+    if (size == 0) {
+        return;
+    }
+
     uint32_t val32 = (uint32_t)value * 0x01010101;
     ggml_vk_buffer_memset(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, val32, size);
 }
@@ -13031,6 +13394,10 @@ static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml
     ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
     vk_buffer buf = buf_ctx->dev_buffer;
 
+    if (size == 0) {
+        return;
+    }
+
     ggml_vk_buffer_write(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
 }
 
@@ -13038,12 +13405,20 @@ static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, cons
     VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
     ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
+    if (size == 0) {
+        return;
+    }
+
     vk_buffer buf = buf_ctx->dev_buffer;
 
     ggml_vk_buffer_read(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
 }
 
 static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) {
+    if (ggml_nbytes(src) == 0) {
+        return true;
+    }
+
     if (ggml_backend_buffer_is_vk(src->buffer)) {
         ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context;
         ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
@@ -13233,36 +13608,44 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
+    if (size == 0) {
+        return;
+    }
+
     ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
 
-    vk_context compute_ctx;
+    vk_context cpy_ctx;
 
-    if (ctx->compute_ctx.expired()) {
-        // Initialize new transfer context
-        compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-        ctx->compute_ctx = compute_ctx;
-        ggml_vk_ctx_begin(ctx->device, compute_ctx);
+    if (ctx->device->async_use_transfer_queue) {
+        if (ctx->transfer_ctx.expired()) {
+            // Initialize new transfer context
+            cpy_ctx = ggml_vk_create_context(ctx, ctx->transfer_cmd_pool);
+            ctx->transfer_ctx = cpy_ctx;
+            ggml_vk_ctx_begin(ctx->device, cpy_ctx);
+        } else {
+            cpy_ctx = ctx->transfer_ctx.lock();
+        }
     } else {
-        compute_ctx = ctx->compute_ctx.lock();
+        cpy_ctx = ggml_vk_get_compute_ctx(ctx);
     }
 
     vk_buffer buf = buf_ctx->dev_buffer;
 
     auto dst_offset = vk_tensor_offset(tensor) + tensor->view_offs + offset;
 
-    bool ret = ggml_vk_buffer_write_async(compute_ctx, buf, dst_offset, data, size);
+    bool ret = ggml_vk_buffer_write_async(cpy_ctx, buf, dst_offset, data, size);
 
     if (!ret) {
         ggml_vk_ensure_sync_staging_buffer(ctx, size);
-        ggml_vk_sync_buffers(nullptr, compute_ctx);
+        ggml_vk_sync_buffers(nullptr, cpy_ctx);
 
         vk::BufferCopy buffer_cpy;
         buffer_cpy.srcOffset = 0;
         buffer_cpy.dstOffset = dst_offset;
         buffer_cpy.size = size;
 
-        compute_ctx->s->buffer.copyBuffer(ctx->sync_staging->buffer, buf->buffer, { buffer_cpy });
-        deferred_memcpy(ctx->sync_staging->ptr, data, size, &compute_ctx->in_memcpys);
+        cpy_ctx->s->buffer->buf.copyBuffer(ctx->sync_staging->buffer, buf->buffer, { buffer_cpy });
+        deferred_memcpy(ctx->sync_staging->ptr, data, size, &cpy_ctx->in_memcpys);
         ggml_vk_synchronize(ctx);
     }
 }
@@ -13272,18 +13655,13 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
-    ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
+    if (size == 0) {
+        return;
+    }
 
-    vk_context compute_ctx;
+    ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context;
 
-    if (ctx->compute_ctx.expired()) {
-        // Initialize new transfer context
-        compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-        ctx->compute_ctx = compute_ctx;
-        ggml_vk_ctx_begin(ctx->device, compute_ctx);
-    } else {
-        compute_ctx = ctx->compute_ctx.lock();
-    }
+    vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx);
 
     vk_buffer buf = buf_ctx->dev_buffer;
 
@@ -13300,37 +13678,71 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_
         buffer_cpy.dstOffset = 0;
         buffer_cpy.size = size;
 
-        compute_ctx->s->buffer.copyBuffer(buf->buffer, ctx->sync_staging->buffer, { buffer_cpy });
+        compute_ctx->s->buffer->buf.copyBuffer(buf->buffer, ctx->sync_staging->buffer, { buffer_cpy });
         deferred_memcpy(data, ctx->sync_staging->ptr, size, &compute_ctx->out_memcpys);
         ggml_vk_synchronize(ctx);
     }
 }
 
-static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) {
-    VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()");
-    ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
-    if ((dst->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) {
-        ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context;
-        ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
+static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) {
+    VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async(" << src << " -> " << dst << ", size=" << ggml_nbytes(src) << ")");
+    ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend_dst->context;
 
-        vk_context compute_ctx;
+    // Skip zero-size tensors
+    if (ggml_nbytes(src) == 0) {
+        return true;
+    }
 
-        if (ctx->compute_ctx.expired()) {
-            // Initialize new transfer context
-            compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-            ctx->compute_ctx = compute_ctx;
-            ggml_vk_ctx_begin(ctx->device, compute_ctx);
-        } else {
-            compute_ctx = ctx->compute_ctx.lock();
+    if (dst->buffer->buft != ggml_backend_vk_get_default_buffer_type(backend_dst)) {
+        return false;
+    }
+
+    ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
+    vk_buffer dst_buf = dst_buf_ctx->dev_buffer;
+
+    if (ggml_backend_buffer_is_vk(src->buffer)) {
+        ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context;
+
+        // Async copy only works within the same device
+        if (src_buf_ctx->dev_buffer->device != dst_buf->device) {
+            return false;
         }
 
-        vk_buffer src_buf = src_buf_ctx->dev_buffer;
-        vk_buffer dst_buf = dst_buf_ctx->dev_buffer;
+        vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx);
 
-        ggml_vk_buffer_copy_async(compute_ctx, dst_buf, vk_tensor_offset(dst) + dst->view_offs, src_buf, vk_tensor_offset(src) + src->view_offs, ggml_nbytes(src));
+        ggml_vk_buffer_copy_async(compute_ctx, dst_buf, vk_tensor_offset(dst) + dst->view_offs,
+                                   src_buf_ctx->dev_buffer, vk_tensor_offset(src) + src->view_offs,
+                                   ggml_nbytes(src));
         return true;
     }
 
+    if (ggml_backend_buffer_is_host(src->buffer)) {
+        vk_buffer pinned_buf = nullptr;
+        size_t pinned_offset = 0;
+        ggml_vk_host_get(ctx->device, src->data, pinned_buf, pinned_offset);
+        if (pinned_buf == nullptr) {
+            return false;
+        }
+
+        vk_context cpy_ctx;
+        if (ctx->device->async_use_transfer_queue) {
+            if (ctx->transfer_ctx.expired()) {
+                cpy_ctx = ggml_vk_create_context(ctx, ctx->transfer_cmd_pool);
+                ctx->transfer_ctx = cpy_ctx;
+                ggml_vk_ctx_begin(ctx->device, cpy_ctx);
+            } else {
+                cpy_ctx = ctx->transfer_ctx.lock();
+            }
+        } else {
+            cpy_ctx = ggml_vk_get_compute_ctx(ctx);
+        }
+
+        return ggml_vk_buffer_write_async(cpy_ctx, dst_buf,
+                                          vk_tensor_offset(dst) + dst->view_offs,
+                                          src->data, ggml_nbytes(src));
+    }
+
+    GGML_UNUSED(backend_src);
     return false;
 }
 
@@ -13339,9 +13751,17 @@ static void ggml_vk_synchronize(ggml_backend_vk_context * ctx) {
 
     bool do_transfer = !ctx->compute_ctx.expired();
 
+    if (ggml_vk_submit_transfer_ctx(ctx)) {
+        ctx->submit_pending = true;
+    }
+
     vk_context compute_ctx;
+    vk_command_buffer* cmd_buf = nullptr;
     if (do_transfer) {
         compute_ctx = ctx->compute_ctx.lock();
+        if (compute_ctx->s) {
+            cmd_buf = compute_ctx->s->buffer;
+        }
 
         ggml_vk_ctx_end(compute_ctx);
 
@@ -13354,12 +13774,30 @@ static void ggml_vk_synchronize(ggml_backend_vk_context * ctx) {
     }
 
     if (ctx->submit_pending) {
-        {
+        if (ctx->device->async_use_transfer_queue && ctx->transfer_semaphore_last_submitted < ctx->transfer_semaphore.value) {
+            vk::TimelineSemaphoreSubmitInfo tl_info{
+                1, &ctx->transfer_semaphore.value,
+                0, nullptr,
+            };
+            vk::PipelineStageFlags stage = ctx->device->transfer_queue.stage_flags;
+            vk::SubmitInfo si{
+                1, &ctx->transfer_semaphore.s, &stage,
+                0, nullptr,
+                0, nullptr,
+            };
+            si.setPNext(&tl_info);
+            std::lock_guard<std::mutex> guard(queue_mutex);
+            ctx->device->compute_queue.queue.submit({ si }, ctx->fence);
+            ctx->transfer_semaphore_last_submitted = ctx->transfer_semaphore.value;
+        } else {
             std::lock_guard<std::mutex> guard(queue_mutex);
             ctx->device->compute_queue.queue.submit({}, ctx->fence);
         }
         ggml_vk_wait_for_fence(ctx);
         ctx->submit_pending = false;
+        if (cmd_buf) {
+            cmd_buf->in_use = false;
+        }
     }
 
     if (do_transfer) {
@@ -13666,12 +14104,11 @@ static bool ggml_vk_can_fuse_rope_set_rows(ggml_backend_vk_context * ctx, const
     return true;
 }
 
-// Check whether the tensors overlap in memory but are not equal.
-// Fusions can potenitally overwrite src tensors in ways that are not prevented
-// by ggml-alloc. If the fusion is entirely elementwise, then it's OK for them
-// to overlap if they are exactly equal.
-// XXX TODO this check is probably missing from several fusion optimizations.
-static bool ggml_vk_tensors_overlap_but_not_equal(const ggml_tensor * a, const ggml_tensor * b) {
+// Check whether the tensors overlap in memory.
+// Fusions can potentially overwrite src tensors in ways that are not prevented
+// by ggml-alloc. If the fusion src is being applied in a way that's elementwise
+// with the destination, then it's OK for them to overlap if they are exactly equal.
+static bool ggml_vk_tensors_overlap(const ggml_tensor * a, const ggml_tensor * b, bool elementwise) {
     ggml_backend_vk_buffer_context * a_buf_ctx = (ggml_backend_vk_buffer_context *)a->buffer->context;
     vk_buffer a_buf = a_buf_ctx->dev_buffer;
     ggml_backend_vk_buffer_context * b_buf_ctx = (ggml_backend_vk_buffer_context *)b->buffer->context;
@@ -13682,7 +14119,7 @@ static bool ggml_vk_tensors_overlap_but_not_equal(const ggml_tensor * a, const g
         auto b_base = vk_tensor_offset(b) + b->view_offs;
         auto b_size = ggml_nbytes(b);
 
-        if (a_base == b_base && a_size == b_size) {
+        if (elementwise && a_base == b_base && a_size == b_size) {
             return false;
         }
 
@@ -13720,13 +14157,6 @@ static bool ggml_vk_can_fuse_rms_norm_mul_rope(ggml_backend_vk_context * ctx, co
         return false;
     }
 
-    // must not overwrite srcs in a way that's not elementwise
-    ggml_tensor *other_src = mul->src[0] == rms ? mul->src[1] : mul->src[0];
-    if (ggml_vk_tensors_overlap_but_not_equal(rms->src[0], rope) ||
-        ggml_vk_tensors_overlap_but_not_equal(other_src, rope)) {
-        return false;
-    }
-
     // conditions for pipeline creation
     if (!(ctx->device->float_controls_rte_fp16 &&
         sizeof(vk_op_rms_norm_mul_rope_push_constants) <= ctx->device->properties.limits.maxPushConstantsSize)) {
@@ -13788,6 +14218,18 @@ static uint32_t ggml_vk_fuse_multi_add(ggml_backend_vk_context * ctx, const stru
     return num_adds;
 }
 
+static int32_t find_first_set(uint32_t x) {
+    int32_t ret = 0;
+    if (!x) {
+        return -1;
+    }
+    while (!(x & 1)) {
+        x >>= 1;
+        ret++;
+    }
+    return ret;
+}
+
 static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) {
     VK_LOG_DEBUG("ggml_backend_vk_graph_compute(" << cgraph->n_nodes << " nodes)");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
@@ -13816,6 +14258,8 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
     bool first_node_in_batch = true; // true if next node will be first node in a batch
     int submit_node_idx = 0; // index to first node in a batch
 
+    ggml_vk_submit_transfer_ctx(ctx);
+
     vk_context compute_ctx;
     if (vk_perf_logger_enabled) {
         // allocate/resize the query pool
@@ -13841,11 +14285,9 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
         std::fill(ctx->query_node_idx.begin(), ctx->query_node_idx.end(), 0);
 
         GGML_ASSERT(ctx->compute_ctx.expired());
-        compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-        ctx->compute_ctx = compute_ctx;
-        ggml_vk_ctx_begin(ctx->device, compute_ctx);
+        compute_ctx = ggml_vk_get_compute_ctx(ctx);
         ctx->query_idx = 0;
-        compute_ctx->s->buffer.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
+        compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
     }
 
     ctx->prealloc_y_last_pipeline_used = nullptr;
@@ -13853,13 +14295,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
 
     if (ctx->prealloc_size_add_rms_partials) {
         ggml_vk_preallocate_buffers(ctx, nullptr);
-        if (ctx->compute_ctx.expired()) {
-            compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-            ctx->compute_ctx = compute_ctx;
-            ggml_vk_ctx_begin(ctx->device, compute_ctx);
-        } else {
-            compute_ctx = ctx->compute_ctx.lock();
-        }
+        compute_ctx = ggml_vk_get_compute_ctx(ctx);
         // initialize partial sums to zero.
         ggml_vk_buffer_memset_async(compute_ctx, ctx->prealloc_add_rms_partials, 0, 0, ctx->prealloc_size_add_rms_partials);
         ggml_vk_sync_buffers(ctx, compute_ctx);
@@ -13886,6 +14322,12 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
             total_mul_mat_bytes += bytes;
         }
 
+        // op_srcs_fused_elementwise indicates whether an op's srcs all contribute to
+        // the fused result in an elementwise-way. This affects whether the memory for
+        // the src is allowed to overlap the memory for the destination.
+        // The array is sized to handle the largest fusion (asserted later).
+        bool op_srcs_fused_elementwise[12];
+
         ctx->fused_topk_moe_mode = TOPK_MOE_COUNT;
         ctx->fused_topk_moe_scale = false;
         const char *fusion_string {};
@@ -13894,39 +14336,68 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
             if (num_adds) {
                 ctx->num_additional_fused_ops = num_adds - 1;
                 fusion_string = "MULTI_ADD";
+                std::fill_n(op_srcs_fused_elementwise, ctx->num_additional_fused_ops + 1, true);
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_MUL_MAT, GGML_OP_ADD, GGML_OP_ADD })) {
                 ctx->num_additional_fused_ops = 2;
                 fusion_string = "MUL_MAT_ADD_ADD";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = true;
+                op_srcs_fused_elementwise[2] = true;
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_MUL_MAT, GGML_OP_ADD })) {
                 ctx->num_additional_fused_ops = 1;
                 fusion_string = "MUL_MAT_ADD";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = true;
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_MUL_MAT_ID, GGML_OP_ADD_ID, GGML_OP_MUL })) {
                 ctx->num_additional_fused_ops = 2;
                 fusion_string = "MUL_MAT_ID_ADD_ID_MUL";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = true;
+                op_srcs_fused_elementwise[2] = true;
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_MUL_MAT_ID, GGML_OP_ADD_ID })) {
                 ctx->num_additional_fused_ops = 1;
                 fusion_string = "MUL_MAT_ID_ADD_ID";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = true;
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_MUL_MAT_ID, GGML_OP_MUL })) {
                 ctx->num_additional_fused_ops = 1;
                 fusion_string = "MUL_MAT_ID_MUL";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = true;
             } else if (ggml_can_fuse_subgraph(cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL, GGML_OP_ROPE, GGML_OP_VIEW, GGML_OP_SET_ROWS }, { i + 4 }) &&
                        ggml_check_edges(cgraph, i, rms_norm_mul_rope_view_set_rows_edges) &&
                        ggml_vk_can_fuse_rms_norm_mul_rope(ctx, cgraph, i) &&
                        ggml_vk_can_fuse_rope_set_rows(ctx, cgraph, i + 2)) {
                 ctx->num_additional_fused_ops = 4;
                 fusion_string = "RMS_NORM_MUL_ROPE_VIEW_SET_ROWS";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = false;
+                op_srcs_fused_elementwise[2] = false;
+                op_srcs_fused_elementwise[3] = false;
+                op_srcs_fused_elementwise[4] = false;
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL, GGML_OP_ROPE })&&
                        ggml_vk_can_fuse_rms_norm_mul_rope(ctx, cgraph, i)) {
                 ctx->num_additional_fused_ops = 2;
                 fusion_string = "RMS_NORM_MUL_ROPE";
+                // rope is approximately elementwise - whole rows are done by a single workgroup and it's row-wise
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = true;
+                op_srcs_fused_elementwise[2] = true;
             } else if (ggml_vk_can_fuse(ctx, cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL })) {
                 ctx->num_additional_fused_ops = 1;
                 fusion_string = "RMS_NORM_MUL";
+                // rms_norm is not elementwise, but whole rows must be consumed and the scale factor computed before
+                // they are overwritten, and one workgroup per row. So close enough.
+                op_srcs_fused_elementwise[0] = true;
+                op_srcs_fused_elementwise[1] = true;
             } else if (ggml_can_fuse_subgraph(cgraph, i, { GGML_OP_ROPE, GGML_OP_VIEW, GGML_OP_SET_ROWS }, { i + 2 }) &&
                        ggml_check_edges(cgraph, i, rope_view_set_rows_edges) &&
                        ggml_vk_can_fuse_rope_set_rows(ctx, cgraph, i)) {
                 ctx->num_additional_fused_ops = 2;
                 fusion_string = "ROPE_VIEW_SET_ROWS";
+                op_srcs_fused_elementwise[0] = false;
+                op_srcs_fused_elementwise[1] = false;
+                op_srcs_fused_elementwise[2] = false;
             } else if (ggml_can_fuse_subgraph(cgraph, i, topk_moe_early_softmax_norm, { i + 3, i + 9 }) &&
                        ggml_check_edges(cgraph, i, topk_moe_early_softmax_norm_edges) &&
                        ggml_vk_can_fuse_topk_moe(ctx, cgraph, i, TOPK_MOE_EARLY_SOFTMAX_NORM)) {
@@ -13935,6 +14406,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
                 ctx->fused_ops_write_mask |= 1 << 3;
                 ctx->fused_topk_moe_mode = TOPK_MOE_EARLY_SOFTMAX_NORM;
                 fusion_string = "TOPK_MOE_EARLY_SOFTMAX_NORM";
+                std::fill_n(op_srcs_fused_elementwise, ctx->num_additional_fused_ops + 1, false);
             } else if (ggml_can_fuse_subgraph(cgraph, i, topk_moe_sigmoid_norm_bias, { i + 4, i + 10 }) &&
                        ggml_check_edges(cgraph, i, topk_moe_sigmoid_norm_bias_edges) &&
                        ggml_vk_can_fuse_topk_moe(ctx, cgraph, i, TOPK_MOE_SIGMOID_NORM_BIAS)) {
@@ -13943,6 +14415,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
                 ctx->fused_ops_write_mask |= 1 << 4;
                 ctx->fused_topk_moe_mode = TOPK_MOE_SIGMOID_NORM_BIAS;
                 fusion_string = "TOPK_MOE_SIGMOID_NORM_BIAS";
+                std::fill_n(op_srcs_fused_elementwise, ctx->num_additional_fused_ops + 1, false);
             } else if (ggml_can_fuse_subgraph(cgraph, i, topk_moe_early_softmax, { i + 3, i + 4 }) &&
                        ggml_check_edges(cgraph, i, topk_moe_early_softmax_edges) &&
                        ggml_vk_can_fuse_topk_moe(ctx, cgraph, i, TOPK_MOE_EARLY_SOFTMAX)) {
@@ -13951,6 +14424,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
                 ctx->fused_ops_write_mask |= 1 << 3;
                 ctx->fused_topk_moe_mode = TOPK_MOE_EARLY_SOFTMAX;
                 fusion_string = "TOPK_MOE_EARLY_SOFTMAX";
+                std::fill_n(op_srcs_fused_elementwise, ctx->num_additional_fused_ops + 1, false);
             } else if (ggml_can_fuse_subgraph(cgraph, i, topk_moe_late_softmax, { i + 1, i + 5 }) &&
                        ggml_check_edges(cgraph, i, topk_moe_late_softmax_edges) &&
                        ggml_vk_can_fuse_topk_moe(ctx, cgraph, i, TOPK_MOE_LATE_SOFTMAX)) {
@@ -13959,6 +14433,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
                 ctx->fused_ops_write_mask |= 1 << 1;
                 ctx->fused_topk_moe_mode = TOPK_MOE_LATE_SOFTMAX;
                 fusion_string = "TOPK_MOE_LATE_SOFTMAX";
+                std::fill_n(op_srcs_fused_elementwise, ctx->num_additional_fused_ops + 1, false);
             }
             if (ctx->fused_topk_moe_mode != TOPK_MOE_COUNT) {
                 // Look for an additional scale op to fuse - occurs in deepseek2 and nemotron3 nano.
@@ -13966,11 +14441,73 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
                     ggml_can_fuse_subgraph(cgraph, i + ctx->num_additional_fused_ops, { GGML_OP_GET_ROWS, GGML_OP_SCALE }, { i + ctx->num_additional_fused_ops + 1 })) {
                     ctx->fused_topk_moe_scale = true;
                     ctx->num_additional_fused_ops++;
+                    op_srcs_fused_elementwise[ctx->num_additional_fused_ops] = false;
                 }
             }
         }
+        GGML_ASSERT(ctx->num_additional_fused_ops < (int)(sizeof(op_srcs_fused_elementwise) / sizeof(op_srcs_fused_elementwise[0])));
         ctx->fused_ops_write_mask |= 1 << ctx->num_additional_fused_ops;
 
+        // Check whether fusion would overwrite src operands while they're still in use.
+        // If so, disable fusion.
+        if (ctx->num_additional_fused_ops) {
+            // There are up to two output nodes - topk_moe has two.
+            uint32_t bits = ctx->fused_ops_write_mask & ~(1 << ctx->num_additional_fused_ops);
+            ggml_tensor *output_nodes[2] {};
+            output_nodes[0] = cgraph->nodes[i + ctx->num_additional_fused_ops];
+            if (bits) {
+                int output_idx = find_first_set(bits);
+                GGML_ASSERT(bits == (1u << output_idx));
+                output_nodes[1] = cgraph->nodes[i + output_idx];
+            }
+
+            bool need_disable = false;
+
+            // topk_moe often overwrites the source, but for a given row all the src values are
+            // loaded before anything is stored. If there's only one row, this is safe, so treat
+            // this as a special case.
+            bool is_topk_moe_single_row = ctx->fused_topk_moe_mode != TOPK_MOE_COUNT &&
+                                          ggml_nrows(cgraph->nodes[i]->src[0]) == 1;
+
+            if (!is_topk_moe_single_row) {
+                for (int j = 0; j < 2; ++j) {
+                    ggml_tensor *dst = output_nodes[j];
+                    if (!dst) {
+                        continue;
+                    }
+                    // Loop over all srcs of all nodes in the fusion. If the src overlaps
+                    // the destination and the src is not an intermediate node that's being
+                    // elided, then disable fusion.
+                    for (int k = 0; k <= ctx->num_additional_fused_ops; ++k) {
+                        for (uint32_t s = 0; s < GGML_MAX_SRC; ++s) {
+                            ggml_tensor *src = cgraph->nodes[i + k]->src[s];
+                            if (!src || src->op == GGML_OP_NONE) {
+                                continue;
+                            }
+                            if (ggml_vk_tensors_overlap(src, dst, op_srcs_fused_elementwise[k])) {
+                                bool found = false;
+                                for (int n = 0; n < k; ++n) {
+                                    if (cgraph->nodes[i + n] == src) {
+                                        found = true;
+                                        break;
+                                    }
+                                }
+                                if (!found) {
+                                    need_disable = true;
+                                }
+                            }
+                        }
+                    }
+                }
+            }
+            if (need_disable) {
+                ctx->num_additional_fused_ops = 0;
+                ctx->fused_ops_write_mask = 1;
+                ctx->fused_topk_moe_mode = TOPK_MOE_COUNT;
+                ctx->fused_topk_moe_scale = false;
+            }
+        }
+
         // Signal the almost_ready fence when the graph is mostly complete (< 20% remaining)
         bool almost_ready = (cgraph->n_nodes - i) < cgraph->n_nodes / 5;
         bool submit = (submitted_nodes >= nodes_per_submit) ||
@@ -13981,18 +14518,12 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
         bool enqueued = ggml_vk_build_graph(ctx, cgraph, i, cgraph->nodes[submit_node_idx], submit_node_idx, i + ctx->num_additional_fused_ops >= last_node, almost_ready, submit);
 
         if (vk_perf_logger_enabled && enqueued) {
-            if (ctx->compute_ctx.expired()) {
-                compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-                ctx->compute_ctx = compute_ctx;
-                ggml_vk_ctx_begin(ctx->device, compute_ctx);
-            } else {
-                compute_ctx = ctx->compute_ctx.lock();
-            }
+            compute_ctx = ggml_vk_get_compute_ctx(ctx);
             if (!vk_perf_logger_concurrent) {
                 // track a single node/fusion for the current query
                 ctx->query_nodes[ctx->query_idx] = cgraph->nodes[i];
                 ctx->query_fusion_names[ctx->query_idx] = fusion_string;
-                compute_ctx->s->buffer.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
+                compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
             } else {
                 // track a fusion string and number of fused ops for the current node_idx
                 ctx->query_fusion_names[i] = fusion_string;
@@ -14322,16 +14853,10 @@ static void ggml_backend_vk_event_record(ggml_backend_t backend, ggml_backend_ev
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     vk_event *vkev = (vk_event *)event->context;
 
-    vk_context compute_ctx;
+    ggml_vk_submit_transfer_ctx(ctx);
 
-    if (ctx->compute_ctx.expired()) {
-        // Initialize new transfer context
-        compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-        ctx->compute_ctx = compute_ctx;
-        ggml_vk_ctx_begin(ctx->device, compute_ctx);
-    } else {
-        compute_ctx = ctx->compute_ctx.lock();
-    }
+    vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx);
+    auto* cmd_buf = compute_ctx->s->buffer; // retrieve pointer before it gets reset
 
     // the backend interface doesn't have an explicit reset, so reset it here
     // before we record the command to set it
@@ -14344,6 +14869,7 @@ static void ggml_backend_vk_event_record(ggml_backend_t backend, ggml_backend_ev
 
     ggml_vk_submit(compute_ctx, {vkev->fence});
     ctx->submit_pending = true;
+    vkev->cmd_buffer = cmd_buf;
     ctx->compute_ctx.reset();
 }
 
@@ -14352,16 +14878,7 @@ static void ggml_backend_vk_event_wait(ggml_backend_t backend, ggml_backend_even
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     vk_event *vkev = (vk_event *)event->context;
 
-    vk_context compute_ctx;
-
-    if (ctx->compute_ctx.expired()) {
-        // Initialize new transfer context
-        compute_ctx = ggml_vk_create_context(ctx, ctx->compute_cmd_pool);
-        ctx->compute_ctx = compute_ctx;
-        ggml_vk_ctx_begin(ctx->device, compute_ctx);
-    } else {
-        compute_ctx = ctx->compute_ctx.lock();
-    }
+    vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx);
 
     ggml_vk_wait_events(compute_ctx, {vkev->event});
     ggml_vk_ctx_end(compute_ctx);
@@ -14374,7 +14891,7 @@ static ggml_backend_i ggml_backend_vk_interface = {
     /* .free                    = */ ggml_backend_vk_free,
     /* .set_tensor_async        = */ ggml_backend_vk_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_vk_get_tensor_async,
-    /* .cpy_tensor_async        = */ NULL,  // ggml_backend_vk_cpy_tensor_async,
+    /* .cpy_tensor_async        = */ ggml_backend_vk_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_vk_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
@@ -14605,6 +15122,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
         case GGML_OP_UNARY:
             switch (ggml_get_unary_op(op)) {
                 case GGML_UNARY_OP_EXP:
+                case GGML_UNARY_OP_ELU:
                 case GGML_UNARY_OP_GELU:
                 case GGML_UNARY_OP_GELU_ERF:
                 case GGML_UNARY_OP_GELU_QUICK:
@@ -14623,6 +15141,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 case GGML_UNARY_OP_CEIL:
                 case GGML_UNARY_OP_FLOOR:
                 case GGML_UNARY_OP_TRUNC:
+                case GGML_UNARY_OP_SGN:
                     return ggml_is_contiguous(op->src[0]) &&
                            (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) &&
                            (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) &&
@@ -14896,8 +15415,10 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
             return true;
         case GGML_OP_NORM:
         case GGML_OP_GROUP_NORM:
-        case GGML_OP_L2_NORM:
             return ggml_is_contiguous(op->src[0]);
+        case GGML_OP_L2_NORM:
+            return ggml_is_contiguous_rows(op->src[0]) &&
+                   op->src[0]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32;
         case GGML_OP_ADD:
         case GGML_OP_SUB:
         case GGML_OP_MUL:
@@ -14960,7 +15481,10 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
             }
             return op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_ACC:
-            return op->src[0]->type == GGML_TYPE_F32;
+            return op->src[0]->type == GGML_TYPE_F32 && op->src[1]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32;
+        case GGML_OP_SET:
+            return op->src[0]->type == op->src[1]->type && op->src[0]->type == op->type &&
+                   (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_I32);
         case GGML_OP_CONCAT:
             return ggml_type_size(op->src[0]->type) == ggml_type_size(GGML_TYPE_F32);
         case GGML_OP_ADD1:
@@ -15034,6 +15558,19 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
         case GGML_OP_RWKV_WKV6:
         case GGML_OP_RWKV_WKV7:
             return true; // all inputs are contiguous, see ggml.c
+        case GGML_OP_GATED_DELTA_NET:
+            {
+                const uint32_t S_v = op->src[2]->ne[0];
+                if (S_v != 32 && S_v != 64 && S_v != 128) {
+                    return false;
+                }
+                for (int i = 0; i < 6; i++) {
+                    if (op->src[i] == nullptr || op->src[i]->type != GGML_TYPE_F32) {
+                        return false;
+                    }
+                }
+                return op->type == GGML_TYPE_F32;
+            }
         case GGML_OP_SSM_SCAN:
             {
                 for (int i = 0; i < 6; i++) {
@@ -15105,11 +15642,25 @@ static bool ggml_backend_vk_device_supports_buft(ggml_backend_dev_t dev, ggml_ba
     return buft_ctx->device->idx == ctx->device;
 }
 
+static int64_t ggml_vk_get_op_batch_size(const ggml_tensor * op) {
+    switch (op->op) {
+        case GGML_OP_GET_ROWS:
+            return 0;
+        case GGML_OP_MUL_MAT:
+            return op->ne[1];
+        case GGML_OP_MUL_MAT_ID:
+        case GGML_OP_ROPE:
+        case GGML_OP_ROPE_BACK:
+            return op->ne[2];
+        default:
+            return ggml_nrows(op);
+    }
+}
+
 static bool ggml_backend_vk_device_offload_op(ggml_backend_dev_t dev, const ggml_tensor * op) {
     ggml_backend_vk_device_context * dev_ctx = (ggml_backend_vk_device_context *)dev->context;
 
-    return (op->ne[1] >= dev_ctx->op_offload_min_batch_size && op->op != GGML_OP_GET_ROWS) ||
-           (op->ne[2] >= dev_ctx->op_offload_min_batch_size && op->op == GGML_OP_MUL_MAT_ID);
+    return ggml_vk_get_op_batch_size(op) >= dev_ctx->op_offload_min_batch_size;
 }
 
 static ggml_backend_event_t ggml_backend_vk_device_event_new(ggml_backend_dev_t dev) {
@@ -15151,6 +15702,10 @@ static void ggml_backend_vk_device_event_synchronize(ggml_backend_dev_t dev, ggm
     vk_event *vkev = (vk_event *)event->context;
 
     VK_CHECK(device->device.waitForFences({ vkev->fence }, true, UINT64_MAX), "event_synchronize");
+    // Finished using current command buffer so we flag for reuse
+    if (vkev->cmd_buffer) {
+        vkev->cmd_buffer->in_use = false;
+    }
 }
 
 static vk_buffer ggml_vk_buffer_from_host_ptr(vk_device & device, void * ptr, size_t size) {
@@ -15369,6 +15924,46 @@ static bool ggml_vk_khr_cooperative_matrix_support(const vk::PhysicalDevicePrope
     }
 }
 
+static uint32_t ggml_vk_intel_shader_core_count(const vk::PhysicalDevice& vkdev) {
+    VkPhysicalDeviceProperties2 props = vkdev.getProperties2();
+
+    if (props.properties.vendorID != VK_VENDOR_ID_INTEL) {
+        return 0;
+    }
+
+    const uint32_t device_id = props.properties.deviceID;
+
+    switch (device_id) {
+    case 0x56A6:  // A310
+        return 6;
+    case 0x5693:  // A370M
+    case 0x56A5:  // A380
+    case 0x56B1:  // Pro A40/A50
+        return 8;
+    case 0x5697:  // A530M
+        return 12;
+    case 0x5692:  // A550M
+    case 0x56B3:  // Pro A60
+        return 16;
+    case 0x56A2:  // A580
+        return 24;
+    case 0x5691:  // A730M
+    case 0x56A1:  // A750
+        return 28;
+    case 0x56A0:  // A770
+    case 0x5690:  // A770M
+        return 32;
+    case 0xE212:  // Pro B50
+        return 16;
+    case 0xE20C:  // B570
+        return 18;
+    case 0xE20B:  // B580
+        return 20;
+    default:
+        return 0;
+    }
+}
+
 // checks
 
 #ifdef GGML_VULKAN_CHECK_RESULTS
@@ -15582,7 +16177,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph *
             tensor_clone = ggml_arange(ggml_ctx, start, stop, step);
         } else if (tensor->op == GGML_OP_FILL) {
             const float value = ggml_get_op_params_f32(tensor, 0);
-            tensor_clone = ggml_fill(ggml_ctx, tensor_clone, value);
+            tensor_clone = ggml_fill(ggml_ctx, src_clone[0], value);
         } else if (tensor->op == GGML_OP_SQR) {
             tensor_clone = ggml_sqr(ggml_ctx, src_clone[0]);
         } else if (tensor->op == GGML_OP_SQRT) {
@@ -15611,6 +16206,8 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph *
             tensor_clone = ggml_add(ggml_ctx, src_clone[0], src_clone[1]);
         } else if (tensor->op == GGML_OP_ACC) {
             tensor_clone = ggml_acc(ggml_ctx, src_clone[0], src_clone[1], tensor->op_params[0], tensor->op_params[1], tensor->op_params[2], tensor->op_params[3]);
+        } else if (tensor->op == GGML_OP_SET) {
+            tensor_clone = ggml_set(ggml_ctx, src_clone[0], src_clone[1], tensor->op_params[0], tensor->op_params[1], tensor->op_params[2], tensor->op_params[3]);
         } else if (tensor->op == GGML_OP_NORM) {
             tensor_clone = ggml_norm(ggml_ctx, src_clone[0], *(float *)tensor->op_params);
         } else if (tensor->op == GGML_OP_GROUP_NORM) {
@@ -15667,6 +16264,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph *
             case GGML_UNARY_OP_EXP:
                 tensor_clone = ggml_exp(ggml_ctx, src_clone[0]);
                 break;
+            case GGML_UNARY_OP_ELU:
+                tensor_clone = ggml_elu(ggml_ctx, src_clone[0]);
+                break;
             case GGML_UNARY_OP_SILU:
                 tensor_clone = ggml_silu(ggml_ctx, src_clone[0]);
                 break;
@@ -15725,6 +16325,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph *
             case GGML_UNARY_OP_TRUNC:
                 tensor_clone = ggml_trunc(ggml_ctx, src_clone[0]);
                 break;
+            case GGML_UNARY_OP_SGN:
+                tensor_clone = ggml_sgn(ggml_ctx, src_clone[0]);
+                break;
             default:
                 std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl;
                 GGML_ABORT("fatal error");
@@ -15845,6 +16448,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph *
         } else if (tensor->op == GGML_OP_RWKV_WKV7) {
             tensor_clone = ggml_rwkv_wkv7(ggml_ctx, src_clone[0], src_clone[1], src_clone[2], src_clone[3],
             src_clone[4], src_clone[5], src_clone[6]);
+        } else if (tensor->op == GGML_OP_GATED_DELTA_NET) {
+            tensor_clone = ggml_gated_delta_net(ggml_ctx, src_clone[0], src_clone[1],
+            src_clone[2], src_clone[3], src_clone[4], src_clone[5]);
         } else if (tensor->op == GGML_OP_OPT_STEP_ADAMW) {
             src_clone[0]->flags = tensor->src[0]->flags;
             tensor_clone = ggml_opt_step_adamw(ggml_ctx, src_clone[0], src_clone[1],
@@ -16043,7 +16649,7 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_cgraph *
         ggml_vk_print_graph_origin(tensor, done);
     }
 
-    if (avg_err > 0.5 || std::isnan(avg_err)) {
+    if (avg_err > 0.01 || std::isnan(avg_err)) {
         std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl;
         std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
         if (src0 != nullptr) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/acc.comp b/ggml/src/ggml-vulkan/vulkan-shaders/acc.comp
index 5084a70ed49..6ba3d1d89e0 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/acc.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/acc.comp
@@ -3,6 +3,9 @@
 #include "types.glsl"
 #include "generic_binary_head.glsl"
 
+// false for SET, true for ACC
+layout(constant_id = 1) const bool ACC = true;
+
 layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
 
 void main() {
@@ -13,17 +16,22 @@ void main() {
 
     const uint offset = p.param3;
     const uint src1_i = idx - offset;
-    const uint oz = src1_i / p.nb02;
-    const uint oy = (src1_i - (oz * p.nb02)) / p.nb01;
-    const uint ox = src1_i % p.nb01;
+    const uint i3 = src1_i / p.nb03;
+    const uint rem2 = src1_i - i3 * p.nb03;
+    const uint i2 = rem2 / p.nb02;
+    const uint rem1 = rem2 - i2 * p.nb02;
+    const uint i1 = rem1 / p.nb01;
+    const uint i0 = rem1 % p.nb01;
 
     uint i00, i01, i02, i03;
-    get_indices(idx, i00, i01, i02, i03);
 
-    if (ox < p.ne10 && oy < p.ne11 && oz < p.ne12) {
-        data_d[get_doffset() + dst_idx(i00, i01, i02, i03)] = D_TYPE(FLOAT_TYPE(data_a[get_aoffset() + src0_idx(i00, i01, i02, i03)]) + FLOAT_TYPE(data_b[get_boffset() + ox + oy * p.ne10 + oz * p.ne10 * p.ne11]));
+    if (i0 < p.ne10 && i1 < p.ne11 && i2 < p.ne12 && i3 < p.ne13) {
+        if (ACC) {
+            data_d[get_doffset() + idx] = D_TYPE(FLOAT_TYPE(data_a[get_aoffset() + idx]) + FLOAT_TYPE(data_b[get_boffset() + src1_idx(i0, i1, i2, i3)]));
+        } else {
+            data_d[get_doffset() + idx] = D_TYPE(FLOAT_TYPE(data_b[get_boffset() + src1_idx(i0, i1, i2, i3)]));
+        }
     } else {
-        data_d[get_doffset() + dst_idx(i00, i01, i02, i03)] = D_TYPE(FLOAT_TYPE(data_a[get_aoffset() + src0_idx(i00, i01, i02, i03)]));
+        data_d[get_doffset() + idx] = D_TYPE(FLOAT_TYPE(data_a[get_aoffset() + idx]));
     }
 }
-
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp b/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp
new file mode 100644
index 00000000000..84dcbd8c88f
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp
@@ -0,0 +1,27 @@
+#version 450
+
+#include "generic_head.glsl"
+#include "types.glsl"
+
+#extension GL_EXT_control_flow_attributes : enable
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+    const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
+
+    if (i >= p.KX) {
+        return;
+    }
+
+    float x = float(data_a[i]);
+
+    if (x < 0.0f) {
+        x = exp(x) - 1;
+    }
+
+    data_d[i] = D_TYPE(x);
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
index 914f131c965..ec48f5b1152 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
@@ -3,9 +3,13 @@
 #extension GL_EXT_control_flow_attributes : enable
 #extension GL_EXT_shader_16bit_storage : require
 
-#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
 #extension GL_EXT_shader_explicit_arithmetic_types_int32 : require
 
+#ifdef FLOAT16
+#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
+#extension GL_EXT_shader_subgroup_extended_types_float16 : require
+#endif
+
 #extension GL_KHR_shader_subgroup_shuffle : enable
 #extension GL_KHR_shader_subgroup_vote : enable
 
@@ -15,8 +19,10 @@
 const uint32_t HSK_per_thread = HSK / D_split;
 const uint32_t HSV_per_thread = HSV / D_split;
 
-const uint32_t cols_per_iter = WorkGroupSize / D_split;
+const uint32_t rows_per_thread = Br / row_split;
+const uint32_t cols_per_iter = WorkGroupSize / D_split / row_split;
 const uint32_t cols_per_thread = Bc / cols_per_iter;
+const uint32_t num_subgroups = SubGroupSize == 0 ? 0 : WorkGroupSize / SubGroupSize;
 
 
 layout (binding = 0) readonly buffer Q {float data_q[];};
@@ -27,20 +33,22 @@ layout (binding = 2) readonly buffer V {float16_t data_v[];};
 layout (binding = 2) readonly buffer VV4 {f16vec4 data_vv4[];};
 layout (binding = 3) readonly buffer M {float16_t data_m[];};
 
-// Store the output when doing grouped query attention.
-// Rows index by Q's dimension 2, and the first N rows are valid.
-D_TYPE perElemOpGqaStore(const in uint32_t r, const in uint32_t c, const in D_TYPE elem, const in uint32_t o_offset, const in uint32_t iq2, const in uint32_t N)
-{
-    uint32_t offset = (iq2 + r) * HSV + c;
-    data_o[o_offset + offset] = D_TYPE(elem);
-    return elem;
-}
+// If SubGroupSize is set to 0 then only use shmem reductions
+const uint32_t tmpsh_size = (SubGroupSize > 0) ? (row_split == 1 ? num_subgroups * D_split : num_subgroups) : WorkGroupSize;
+shared float tmpsh[tmpsh_size];
+shared FLOAT_TYPEV4 tmpshv4[tmpsh_size];
 
-shared FLOAT_TYPE tmpsh[WorkGroupSize];
-shared vec4 tmpshv4[WorkGroupSize];
+const uint32_t masksh_stride = Br + 1;
+shared FLOAT_TYPE masksh[Bc * masksh_stride];
 
-shared float masksh[Bc][Br];
-shared vec4 Qf[Br][HSK / 4];
+const uint32_t qf_stride = HSK / 4 + 1;
+shared FLOAT_TYPEV4 Qf[Br * qf_stride];
+
+const uint32_t D = HSK > HSV ? HSK : HSV;
+const uint32_t kvsh_stride = D / 4 + 1;
+shared FLOAT_TYPEV4 kvsh[SHMEM_STAGING != 0 ? Bc * kvsh_stride : 1];
+
+shared vec4 occupancy_limiter[LIMIT_OCCUPANCY_SHMEM > 0 ? LIMIT_OCCUPANCY_SHMEM : 1];
 
 void main() {
 #ifdef NEEDS_INIT_IQ_SHMEM
@@ -50,8 +58,24 @@ void main() {
     init_indices();
 
     const uint32_t tid = gl_LocalInvocationIndex;
+    const uint32_t threads_per_rowgroup = gl_WorkGroupSize.x / row_split;
+    const uint32_t row_tid = gl_LocalInvocationIndex / threads_per_rowgroup;
+    const uint32_t rowgroup_tid = gl_LocalInvocationIndex % threads_per_rowgroup;
     const uint32_t d_tid = gl_LocalInvocationIndex % D_split;
-    const uint32_t col_tid = gl_LocalInvocationIndex / D_split;
+    const uint32_t col_tid = (gl_LocalInvocationIndex % threads_per_rowgroup) / D_split;
+
+    if (LIMIT_OCCUPANCY_SHMEM > 0) {
+        // This just exists to avoid the occupancy_limiter array getting optimized out
+        occupancy_limiter[tid] = vec4(tid);
+
+        barrier();
+
+        if (occupancy_limiter[tid] == vec4(99999.0)) {
+            data_ov4[0] = D_TYPEV4(occupancy_limiter[tid]);
+        }
+    }
+
+#define tile_row(r) (row_tid * rows_per_thread + (r))
 
     uint32_t q_offset = gqa_iq1*p.nb01 + (iq2*p.nb02 + iq3*p.nb03) / 4;
 
@@ -60,37 +84,37 @@ void main() {
         uint32_t r = (idx + tid) / (HSK / 4);
         if (r < Br && d < HSK / 4 &&
             i * Br + r < N) {
-            Qf[r][d] = vec4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d]) * p.scale;
+            Qf[r * qf_stride + d] = FLOAT_TYPEV4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale);
         }
     }
     barrier();
 
-    vec4 Of[Br][HSV_per_thread / 4];
+    FLOAT_TYPEV4 Of[rows_per_thread][HSV_per_thread / 4];
     [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            Of[r][d] = vec4(0.0);
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            Of[r][d] = FLOAT_TYPEV4(0.0);
         }
     }
 
-    float Lf[Br], Mf[Br];
+    float Lf[rows_per_thread], Mf[rows_per_thread];
 
     // Use -FLT_MAX/2 rather than -inf to reduce the possibility of NaNs, e.g. when computing Mold-M.
     const float NEG_FLT_MAX_OVER_2 = uintBitsToFloat(0xFEFFFFFF);
 
-    [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
+    [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
         Lf[r] = 0;
         Mf[r] = NEG_FLT_MAX_OVER_2;
     }
 
-    float slope[Br];
-    [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-        slope[r] = 1.0;
+    ACC_TYPE slope[rows_per_thread];
+    [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+        slope[r] = ACC_TYPE(1.0);
     }
 
     // ALiBi
     if (p.max_bias > 0.0f) {
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            slope[r] = perElemOpComputeSlope(r, col_tid, ACC_TYPE(0), iq2);
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            slope[r] = perElemOpComputeSlope(tile_row(r), col_tid, ACC_TYPE(0), iq2);
         }
     }
 
@@ -113,61 +137,141 @@ void main() {
 
     uint32_t mask_opt = 0;
     uint32_t mask_opt_idx = ~0;
+    uint32_t mask_opt_bits = 0;
 
     [[dont_unroll]]
     for (uint32_t j = start_j; j < end_j; ++j) {
+        if (MASK_ENABLE) {
+            if (USE_MASK_OPT && mask_opt_idx != j / 16) {
+                mask_opt_idx = j / 16;
+                mask_opt = data_mask_opt[mo_offset + mask_opt_idx];
+            }
+            mask_opt_bits = (mask_opt >> ((j % 16) * 2)) & 0x3;
+            if (mask_opt_bits == MASK_OPT_ALL_NEG_INF) {
+                // skip this block
+                continue;
+            }
+            // Only load if the block is not all zeros
+            if (mask_opt_bits != MASK_OPT_ALL_ZERO) {
+                bool nem1_bounds_check = !(p.gqa_ratio > 1) && (p.nem1 % Br) != 0;
 
-        if (USE_MASK_OPT && mask_opt_idx != j / 16) {
-            mask_opt_idx = j / 16;
-            mask_opt = data_mask_opt[mo_offset + mask_opt_idx];
-        }
-        uint32_t mask_opt_bits = (mask_opt >> ((j % 16) * 2)) & 0x3;
-        if (mask_opt_bits == MASK_OPT_ALL_NEG_INF) {
-            // skip this block
-            continue;
-        }
-        // Only load if the block is not all zeros
-        if (MASK_ENABLE && mask_opt_bits != MASK_OPT_ALL_ZERO) {
-            bool nem1_bounds_check = !(p.gqa_ratio > 1) && (p.nem1 % Br) != 0;
-
-            [[unroll]] for (uint32_t idx = 0; idx < Bc * Br; idx += gl_WorkGroupSize.x) {
-                uint32_t c = (idx + tid) % Bc;
-                uint32_t r = (idx + tid) / Bc;
-                if (idx + tid < Bc * Br) {
-                    if ((!KV_bounds_check || j * Bc + c < KV) && (!nem1_bounds_check || i * Br + r < p.nem1)) {
-                        float m = float(data_m[m_offset + (i * Br + r) * m_stride + (j * Bc + c)]);
-                        masksh[c][r] = m;
-                    } else {
-                        masksh[c][r] = float(0);
+                float max_mask = NEG_FLT_MAX_OVER_2;
+                barrier();
+                [[unroll]] for (uint32_t idx = 0; idx < Bc * Br; idx += gl_WorkGroupSize.x) {
+                    uint32_t c = (idx + tid) % Bc;
+                    uint32_t r = (idx + tid) / Bc;
+                    if (idx + tid < Bc * Br) {
+                        if ((!KV_bounds_check || j * Bc + c < KV) && (!nem1_bounds_check || i * Br + r < p.nem1)) {
+                            FLOAT_TYPE m = FLOAT_TYPE(data_m[m_offset + (i * Br + r) * m_stride + (j * Bc + c)]);
+                            masksh[c * masksh_stride + r] = m;
+                            max_mask = max(max_mask, float(m));
+                        } else {
+                            masksh[c * masksh_stride + r] = FLOAT_TYPE(0);
+                        }
                     }
                 }
+                // skip the block if the mask is entirely -inf
+                bool all_less = subgroupAll(max_mask <= NEG_FLT_MAX_OVER_2);
+                barrier();
+                if (gl_SubgroupInvocationID == 0) {
+                    tmpsh[gl_SubgroupID] = all_less ? NEG_FLT_MAX_OVER_2 : 0.0f;
+                }
+                barrier();
+                [[unroll]] for (uint s = 0; s < gl_NumSubgroups; ++s) {
+                    max_mask = max(max_mask, tmpsh[s]);
+                }
+                if (max_mask <= NEG_FLT_MAX_OVER_2) {
+                    continue;
+                }
             }
-            barrier();
         }
 
-        float Sf[Br][cols_per_thread];
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
+        ACC_TYPE Sf[rows_per_thread][cols_per_thread];
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
             [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
-                Sf[r][c] = 0.0;
+                Sf[r][c] = ACC_TYPE(0.0);
             }
         }
 
+        if (SHMEM_STAGING != 0) {
+            barrier();
+            [[unroll]] for (uint32_t idx = 0; idx < Bc * HSK / 4; idx += gl_WorkGroupSize.x) {
+                uint32_t d = (idx + tid) % (HSK / 4);
+                uint32_t c = (idx + tid) / (HSK / 4);
+                if (idx + gl_WorkGroupSize.x <= Bc * HSK / 4 || c < Bc) {
+                    FLOAT_TYPEV4 K_Tf = FLOAT_TYPEV4(0);
+                    if (!KV_bounds_check || j * Bc + c < KV) {
+#if BLOCK_SIZE > 1
+                        uint coord = (j * Bc + c) * k_stride * BLOCK_SIZE + 4 * d;
+                        uint ib = coord / BLOCK_SIZE;
+                        uint iqs = (coord % BLOCK_SIZE);
+                        K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K);
+#else
+                        K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c) * k_stride / 4 + d]);
+#endif
+                    }
 
-        [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
-            if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
-                continue;
+                    kvsh[c * kvsh_stride + d] = K_Tf;
+                }
             }
+            barrier();
+        }
+
+        // More d iterations means Q register caching becomes relevant
+        // Few iterations means the additional registers needed are worse than the speed-up from caching
+        if (HSK_per_thread / 4 > 4) {
             [[unroll]] for (uint32_t d = 0; d < HSK_per_thread / 4; ++d) {
+                FLOAT_TYPEV4 Q_cache[rows_per_thread];
+                [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                    Q_cache[r] = Qf[tile_row(r) * qf_stride + d * D_split + d_tid];
+                }
+
+                [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
+                    if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
+                        continue;
+                    }
+
+                    FLOAT_TYPEV4 K_Tf;
+                    if (SHMEM_STAGING != 0) {
+                        K_Tf = kvsh[(c * cols_per_iter + col_tid) * kvsh_stride + (d * D_split + d_tid)];
+                    } else {
+#if BLOCK_SIZE > 1
+                        uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid);
+                        uint ib = coord / BLOCK_SIZE;
+                        uint iqs = (coord % BLOCK_SIZE);
+                        K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K);
+#else
+                        K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * k_stride / 4 + d * D_split + d_tid]);
+#endif
+                    }
+                    [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                        Sf[r][c] += ACC_TYPE(dot(Q_cache[r], K_Tf));
+                    }
+                }
+            }
+        } else {
+            [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
+                if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
+                    continue;
+                }
+
+                [[unroll]] for (uint32_t d = 0; d < HSK_per_thread / 4; ++d) {
+                    FLOAT_TYPEV4 K_Tf;
+                    if (SHMEM_STAGING != 0) {
+                        K_Tf = kvsh[(c * cols_per_iter + col_tid) * kvsh_stride + (d * D_split + d_tid)];
+                    } else {
 #if BLOCK_SIZE > 1
-                uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid);
-                uint ib = coord / BLOCK_SIZE;
-                uint iqs = (coord % BLOCK_SIZE);
-                vec4 K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K);
+                        uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid);
+                        uint ib = coord / BLOCK_SIZE;
+                        uint iqs = (coord % BLOCK_SIZE);
+                        K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K);
 #else
-                vec4 K_Tf = vec4(data_kv4[k_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * k_stride / 4 + d * D_split + d_tid]);
+                        K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * k_stride / 4 + d * D_split + d_tid]);
 #endif
-                [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-                    Sf[r][c] += dot(Qf[r][d * D_split + d_tid], K_Tf);
+                    }
+                    [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                        Sf[r][c] += ACC_TYPE(dot(Qf[tile_row(r) * qf_stride + d * D_split + d_tid], K_Tf));
+                    }
                 }
             }
         }
@@ -175,145 +279,225 @@ void main() {
         [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
             // Compute sum across the D_split
             [[unroll]] for (uint s = D_split / 2; s > 0; s >>= 1) {
-                [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
+                [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
                     Sf[r][c] += subgroupShuffleXor(Sf[r][c], s);
                 }
             }
         }
 
         if (LOGIT_SOFTCAP) {
-            [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
                 [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
-                    Sf[r][c] = p.logit_softcap * tanh(Sf[r][c]);
+                    Sf[r][c] = ACC_TYPE(p.logit_softcap * tanh(Sf[r][c]));
                 }
             }
         }
 
         if (MASK_ENABLE && mask_opt_bits != MASK_OPT_ALL_ZERO) {
             [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
-                [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-                    float mvf = masksh[c * cols_per_iter + col_tid][r];
+                [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                    FLOAT_TYPE mvf = masksh[(c * cols_per_iter + col_tid) * masksh_stride + tile_row(r)];
 
                     Sf[r][c] += slope[r]*mvf;
                 }
             }
-            barrier();
         }
 
-        float rowmaxf[Br], Pf[Br][cols_per_thread], rowsumf[Br], eMf[Br], Moldf[Br];
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            rowmaxf[r] = NEG_FLT_MAX_OVER_2;
+        float eMf[rows_per_thread];
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            float rowmaxf = NEG_FLT_MAX_OVER_2;
             [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
                 if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
                     continue;
                 }
-                rowmaxf[r] = max(rowmaxf[r], Sf[r][c]);
+                rowmaxf = max(rowmaxf, float(Sf[r][c]));
             }
-            Moldf[r] = Mf[r];
+            float Moldf = Mf[r];
 
             // M = max(rowmax, Mold)
             // P = e^(S - M)
             // eM = e^(Mold - M)
-            Mf[r] = max(rowmaxf[r], Moldf[r]);
-            [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
-                Pf[r][c] = exp(Sf[r][c] - Mf[r]);
-            }
-            eMf[r] = exp(Moldf[r] - Mf[r]);
+            Mf[r] = max(rowmaxf, Moldf);
+            eMf[r] = exp(Moldf - Mf[r]);
+            Lf[r] = eMf[r]*Lf[r];
+        }
 
-            // Compute sum across row of P
-            rowsumf[r] = 0.0;
-            [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
-                if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
-                    continue;
-                }
-                rowsumf[r] += Pf[r][c];
+        [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                Of[r][d] = FLOAT_TYPE(eMf[r]) * Of[r][d];
             }
-
-            Lf[r] = eMf[r]*Lf[r] + rowsumf[r];
         }
 
-        [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-            [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-                Of[r][d] = eMf[r] * Of[r][d];
+        if (SHMEM_STAGING != 0) {
+            barrier();
+            [[unroll]] for (uint32_t idx = 0; idx < Bc * HSV / 4; idx += gl_WorkGroupSize.x) {
+                uint32_t d = (idx + tid) % (HSV / 4);
+                uint32_t c = (idx + tid) / (HSV / 4);
+                if (idx + gl_WorkGroupSize.x <= Bc * HSV / 4 || c < Bc) {
+                    FLOAT_TYPEV4 V_Tf = FLOAT_TYPEV4(0);
+                    if (!KV_bounds_check || j * Bc + c < KV) {
+#if BLOCK_SIZE > 1
+                        uint coord = (j * Bc + c) * v_stride * BLOCK_SIZE + 4 * d;
+                        uint ib = coord / BLOCK_SIZE;
+                        uint iqs = (coord % BLOCK_SIZE);
+                        V_Tf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V);
+#else
+                        V_Tf = FLOAT_TYPEV4(data_vv4[v_offset / 4 + (j * Bc + c) * v_stride / 4 + d]);
+#endif
+                    }
+
+                    kvsh[c * kvsh_stride + d] = V_Tf;
+                }
             }
+            barrier();
         }
 
         [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
             if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
                 continue;
             }
+
+            FLOAT_TYPE Pf[rows_per_thread];
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                Pf[r] = FLOAT_TYPE(exp(float(Sf[r][c]) - Mf[r]));
+                Lf[r] += Pf[r];
+            }
+
             [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
+                FLOAT_TYPEV4 Vf;
+                if (SHMEM_STAGING != 0) {
+                    Vf = kvsh[(c * cols_per_iter + col_tid) * kvsh_stride + (d * D_split + d_tid)];
+                } else {
 #if BLOCK_SIZE > 1
-                uint coord = (j * Bc + c * cols_per_iter + col_tid) * v_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid);
-                uint ib = coord / BLOCK_SIZE;
-                uint iqs = (coord % BLOCK_SIZE);
-                vec4 Vf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V);
+                    uint coord = (j * Bc + c * cols_per_iter + col_tid) * v_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid);
+                    uint ib = coord / BLOCK_SIZE;
+                    uint iqs = (coord % BLOCK_SIZE);
+                    Vf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V);
 #else
-                vec4 Vf = vec4(data_vv4[v_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * v_stride / 4 + d * D_split + d_tid]);
+                    Vf = FLOAT_TYPEV4(data_vv4[v_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * v_stride / 4 + d * D_split + d_tid]);
 #endif
-                [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-                    Of[r][d] += Pf[r][c] * Vf;
+                }
+                [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                    Of[r][d] += FLOAT_TYPEV4(Pf[r] * Vf);
                 }
             }
         }
-
-        barrier();
     }
 
+    // prevent race on tmpsh
+    barrier();
+
     // reduce across threads
 
-    [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-        float rowmaxf, eMf;
+    [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+        float rowmaxf = Mf[r];
 
-        tmpsh[tid] = Mf[r];
         // Compute max across the row
-        barrier();
-        [[unroll]] for (int s = int(gl_WorkGroupSize.x) / 2; s >= D_split; s >>= 1) {
-            if (tid < s) {
-                tmpsh[tid] = max(tmpsh[tid], tmpsh[tid + s]);
+        if (SubGroupSize > 0) {
+            [[unroll]] for (uint s = D_split; s < SubGroupSize; s *= 2) {
+                rowmaxf = max(rowmaxf, subgroupShuffleXor(rowmaxf, s));
             }
+            if (row_split == 1) {
+                // Reduce inside workgroup with shmem
+                barrier();
+                if (gl_SubgroupInvocationID == d_tid) {
+                    tmpsh[gl_SubgroupID * D_split + d_tid] = rowmaxf;
+                }
+                barrier();
+                rowmaxf = tmpsh[d_tid];
+                [[unroll]] for (uint32_t s = 1; s < num_subgroups; ++s) {
+                    rowmaxf = max(rowmaxf, tmpsh[s * D_split + d_tid]);
+                }
+            }
+        } else {
+            barrier();
+            tmpsh[tid] = rowmaxf;
             barrier();
+            [[unroll]] for (int s = int(threads_per_rowgroup) / 2; s >= D_split; s >>= 1) {
+                if (rowgroup_tid < s) {
+                    tmpsh[tid] = max(tmpsh[tid], tmpsh[tid ^ s]);
+                }
+                barrier();
+            }
+            rowmaxf = tmpsh[row_tid * threads_per_rowgroup + d_tid];
         }
-        rowmaxf = tmpsh[d_tid];
-        barrier();
 
         float Moldf = Mf[r];
 
         // M = max(rowmax, Mold)
         // eM = e^(Mold - M)
         Mf[r] = max(rowmaxf, Moldf);
-        eMf = exp(Moldf - Mf[r]);
+        float eMf = exp(Moldf - Mf[r]);
 
         Lf[r] = eMf*Lf[r];
 
-        tmpsh[tid] = Lf[r];
-
         // Compute sum across the row
-        barrier();
-        [[unroll]] for (int s = int(gl_WorkGroupSize.x) / 2; s >= D_split; s >>= 1) {
-            if (tid < s) {
-                tmpsh[tid] = tmpsh[tid] + tmpsh[tid + s];
+        if (SubGroupSize > 0) {
+            [[unroll]] for (uint s = D_split; s < SubGroupSize; s *= 2) {
+                Lf[r] += subgroupShuffleXor(Lf[r], s);
             }
+            if (row_split == 1) {
+                barrier();
+                if (gl_SubgroupInvocationID == d_tid) {
+                    tmpsh[gl_SubgroupID * D_split + d_tid] = Lf[r];
+                }
+                barrier();
+                Lf[r] = tmpsh[d_tid];
+                [[unroll]] for (uint32_t s = 1; s < num_subgroups; ++s) {
+                    Lf[r] += tmpsh[s * D_split + d_tid];
+                }
+            }
+        } else {
             barrier();
+            tmpsh[tid] = Lf[r];
+            barrier();
+            [[unroll]] for (int s = int(threads_per_rowgroup) / 2; s >= D_split; s >>= 1) {
+                if (rowgroup_tid < s) {
+                    tmpsh[tid] = tmpsh[tid] + tmpsh[tid ^ s];
+                }
+                barrier();
+            }
+            Lf[r] = tmpsh[row_tid * threads_per_rowgroup + d_tid];
         }
-        Lf[r] = tmpsh[d_tid];
-        barrier();
 
         [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
+            Of[r][d] = FLOAT_TYPE(eMf) * Of[r][d];
 
-            Of[r][d] = eMf * Of[r][d];
-            tmpshv4[tid] = Of[r][d];
-
-            barrier();
-            [[unroll]] for (int s = int(gl_WorkGroupSize.x) / 2; s >= D_split; s >>= 1) {
-                if (tid < s) {
-                    Of[r][d] += tmpshv4[tid + s];
-                    tmpshv4[tid] = Of[r][d];
+            if (SubGroupSize > 0) {
+                [[unroll]] for (uint s = D_split; s < SubGroupSize; s *= 2) {
+                    if (!OLD_AMD_WINDOWS) {
+                        Of[r][d] += subgroupShuffleXor(Of[r][d], s);
+                    } else {
+                        // Something about f16vec4 subgroupShuffleXor is broken on AMD Windows RDNA2 and below.
+                        // Shuffle full vec4 as workaround.
+                        // See https://github.com/ggml-org/llama.cpp/issues/19881#issuecomment-3958643697
+                        Of[r][d] += FLOAT_TYPEV4(subgroupShuffleXor(vec4(Of[r][d]), s));
+                    }
+                }
+                if (row_split == 1) {
+                    barrier();
+                    if (gl_SubgroupInvocationID == d_tid) {
+                        tmpshv4[gl_SubgroupID * D_split + d_tid] = Of[r][d];
+                    }
+                    barrier();
+                    Of[r][d] = tmpshv4[d_tid];
+                    [[unroll]] for (uint32_t s = 1; s < num_subgroups; ++s) {
+                        Of[r][d] += tmpshv4[s * D_split + d_tid];
+                    }
                 }
+            } else {
+                barrier();
+                tmpshv4[tid] = Of[r][d];
                 barrier();
+                [[unroll]] for (int s = int(threads_per_rowgroup) / 2; s >= D_split; s >>= 1) {
+                    if (rowgroup_tid < s) {
+                        Of[r][d] += tmpshv4[tid ^ s];
+                        tmpshv4[tid] = Of[r][d];
+                    }
+                    barrier();
+                }
+                Of[r][d] = tmpshv4[row_tid * threads_per_rowgroup + d_tid];
             }
-            Of[r][d] = tmpshv4[d_tid];
-            barrier();
         }
     }
 
@@ -321,33 +505,53 @@ void main() {
     // If there is split_k, then the split_k resolve shader does the final
     // division by L. Store the intermediate O value and per-row m and L values.
     if (p.k_num > 1) {
-        // note: O and Q have swapped coord 1,2.
-        uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
-
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            if (r < N) {
-                [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-                    [[unroll]] for (uint32_t comp = 0; comp < 4; ++comp) {
-                        perElemOpGqaStore(r, 4*(d * D_split + d_tid) + comp, Of[r][d][comp], o_offset, iq2, N);
+        if (p.gqa_ratio > 1) {
+            // note: O and Q have swapped coord 1,2.
+            uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3)) / 4;
+
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                const uint row = tile_row(r);
+                if (row < N) {
+                    [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
+                        gqaStore(row, d * D_split + d_tid, Of[r][d], o_offset, iq2, N);
                     }
                 }
             }
-        }
 
-        o_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            if (r < N) {
-                perElemOpStoreCol0(r, 0u, ACC_TYPE(Lf[r]), o_offset, iq2, N);
-                perElemOpStoreCol0(r, 0u, ACC_TYPE(Mf[r]), o_offset + p.ne1, iq2, N);
+            o_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                const uint row = tile_row(r);
+                if (row < N) {
+                    perElemOpStoreCol0(row, 0u, ACC_TYPE(Lf[r]), o_offset, iq2, N);
+                    perElemOpStoreCol0(row, 0u, ACC_TYPE(Mf[r]), o_offset + p.ne1, iq2, N);
+                }
             }
-        }
+        } else {
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                const uint row = tile_row(r);
+                const uint global_row = i * Br + row;
+
+                if (global_row < N) {
+                    uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (global_row + p.ne2 * iq3)) / 4;
 
+                    [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
+                        data_ov4[o_offset + iq2 * HSV/4 + d * D_split + d_tid] = D_TYPEV4(Of[r][d]);
+                    }
+                }
+
+                if (global_row < N && d_tid == 0 && col_tid == 0) {
+                    uint32_t lm_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (global_row + p.ne2 * iq3));
+                    data_o[lm_offset + iq2] = D_TYPE(Lf[r]);
+                    data_o[lm_offset + p.ne1 + iq2] = D_TYPE(Mf[r]);
+                }
+            }
+        }
         return;
     }
 
     if ((p.mask_n_head_log2 & SINK_ENABLE_BIT) != 0) {
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            float sink = perElemOpGetSink(r, 0u, ACC_TYPE(0), iq2);
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            float sink = perElemOpGetSink(tile_row(r), 0u, ACC_TYPE(0), iq2);
 
             float ms = 1.0f;
             float vs = 1.0f;
@@ -356,7 +560,7 @@ void main() {
                 ms = exp(Mf[r] - sink);
 
                 [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-                    Of[r][d] *= ms;
+                    Of[r][d] *= FLOAT_TYPE(ms);
                 }
             } else {
                 vs = exp(sink - Mf[r]);
@@ -366,39 +570,37 @@ void main() {
         }
     }
 
-    float Lfrcp[Br];
-    [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
+    float Lfrcp[rows_per_thread];
+    [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
         Lfrcp[r] = (Lf[r] == 0.0) ? 0.0 : (1.0 / Lf[r]);
     }
 
     [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            Of[r][d] *= Lfrcp[r];
-#if defined(ACC_TYPE_MAX)
-            Of[r][d] = clamp(Of[r][d], -vec4(ACC_TYPE_MAX), vec4(ACC_TYPE_MAX));
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            Of[r][d] *= FLOAT_TYPE(Lfrcp[r]);
+#if defined(FLOAT_TYPE_MAX)
+            Of[r][d] = clamp(Of[r][d], -FLOAT_TYPE_MAX, FLOAT_TYPE_MAX);
 #endif
         }
     }
 
-    uint32_t o_offset = gqa_iq1*p.ne1*HSV + iq3*p.ne2*p.ne1*HSV;
+    uint32_t o_offset = (gqa_iq1*p.ne1*HSV + iq3*p.ne2*p.ne1*HSV) / 4;
 
     if (p.gqa_ratio > 1) {
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            if (r < N) {
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            const uint row = tile_row(r);
+            if (row < N) {
                 [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-                    [[unroll]] for (uint32_t comp = 0; comp < 4; ++comp) {
-                        perElemOpGqaStore(r, 4*(d * D_split + d_tid) + comp, Of[r][d][comp], o_offset, iq2, N);
-                    }
+                    gqaStore(row, d * D_split + d_tid, Of[r][d], o_offset, iq2, N);
                 }
             }
         }
     } else {
-        [[unroll]] for (uint32_t r = 0; r < Br; ++r) {
-            if (i * Br + r < N) {
+        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+            const uint row = tile_row(r);
+            if (i * Br + row < N) {
                 [[unroll]] for (uint32_t d = 0; d < HSV_per_thread / 4; ++d) {
-                    [[unroll]] for (uint32_t comp = 0; comp < 4; ++comp) {
-                        data_o[o_offset + iq2 * HSV + (i * Br + r) * p.ne1 * HSV + 4*(d * D_split + d_tid) + comp] = D_TYPE(Of[r][d][comp]);
-                    }
+                    data_ov4[o_offset + (iq2 * HSV + (i * Br + row) * p.ne1 * HSV) / 4 + d * D_split + d_tid] = D_TYPEV4(Of[r][d]);
                 }
             }
         }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
index 4142c1e6eaa..172d38f034e 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
@@ -1,20 +1,23 @@
 
 layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
 
-layout (constant_id = 0) const uint32_t WorkGroupSize = 128;
-layout (constant_id = 1) const uint32_t Br = 1;
-layout (constant_id = 2) const uint32_t Bc = 32;
-layout (constant_id = 3) const uint32_t HSK = 32;
-layout (constant_id = 4) const uint32_t HSV = 32;
-layout (constant_id = 5) const uint32_t Clamp = 0;
-layout (constant_id = 6) const uint32_t D_split = 16;
-layout (constant_id = 7) const uint32_t SubGroupSize = 32;
-layout (constant_id = 8) const uint32_t K_LOAD_SHMEM = 0;
-layout (constant_id = 9) const uint32_t Flags = 0;
-
-const bool USE_MASK_OPT  = (Flags & 1) != 0;
-const bool MASK_ENABLE   = (Flags & 2) != 0;
-const bool LOGIT_SOFTCAP = (Flags & 4) != 0;
+layout (constant_id =  0) const uint32_t WorkGroupSize = 128;
+layout (constant_id =  1) const uint32_t Br = 1;
+layout (constant_id =  2) const uint32_t Bc = 32;
+layout (constant_id =  3) const uint32_t HSK = 32;
+layout (constant_id =  4) const uint32_t HSV = 32;
+layout (constant_id =  5) const uint32_t Clamp = 0;
+layout (constant_id =  6) const uint32_t D_split = 16;
+layout (constant_id =  7) const uint32_t row_split = 1;
+layout (constant_id =  8) const uint32_t SubGroupSize = 32;
+layout (constant_id =  9) const uint32_t SHMEM_STAGING = 0;
+layout (constant_id = 10) const uint32_t Flags = 0;
+layout (constant_id = 11) const uint32_t LIMIT_OCCUPANCY_SHMEM = 0;
+
+const bool USE_MASK_OPT    = (Flags & 1) != 0;
+const bool MASK_ENABLE     = (Flags & 2) != 0;
+const bool LOGIT_SOFTCAP   = (Flags & 4) != 0;
+const bool OLD_AMD_WINDOWS = (Flags & 8) != 0;
 
 // Round up head sizes to a multiple of 16, for coopmat1/coopmat2 paths
 const uint32_t HSK_pad = (HSK + 15) & ~15;
@@ -69,6 +72,7 @@ layout (push_constant) uniform parameter {
 layout (binding = 4) readonly buffer S {float data_s[];};
 
 layout (binding = 5) writeonly buffer O {D_TYPE data_o[];};
+layout (binding = 5) writeonly buffer OV4 {D_TYPEV4 data_ov4[];};
 
 layout (binding = 6) readonly buffer MO {uint32_t data_mask_opt[];};
 
@@ -94,12 +98,12 @@ layout (binding = 2) readonly buffer V_PACKED16 {A_TYPE_PACKED16 v_data_packed16
 #define BLOCK_SIZE 4
 #define BLOCK_BYTE_SIZE 16
 
-vec4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
     // iqs is currently always zero in the flash attention shaders
     if (binding_idx == BINDING_IDX_K) {
-        return k_packed.k_data_packed[a_offset + ib];
+        return FLOAT_TYPEV4(k_packed.k_data_packed[a_offset + ib]);
     } else {
-        return v_packed.v_data_packed[a_offset + ib];
+        return FLOAT_TYPEV4(v_packed.v_data_packed[a_offset + ib]);
     }
 }
 #endif
@@ -107,7 +111,7 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
 #if defined(DATA_A_Q4_0)
 #define BLOCK_BYTE_SIZE 18
 
-vec4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
     if (binding_idx == BINDING_IDX_K) {
         uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
         uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
@@ -115,7 +119,7 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
         vui_lo >>= shift;
         vui_hi >>= shift;
 
-        return float(k_packed.k_data_packed16[a_offset + ib].d) * (vec4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - 8.0f);
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - FLOAT_TYPE(8.0f));
     } else {
         uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
         uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
@@ -123,24 +127,24 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
         vui_lo >>= shift;
         vui_hi >>= shift;
 
-        return float(v_packed.v_data_packed16[a_offset + ib].d) * (vec4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - 8.0f);
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - FLOAT_TYPE(8.0f));
     }
 }
 #endif
 
 #if defined(DATA_A_Q8_0)
 #define BLOCK_BYTE_SIZE 34
-vec4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
     if (binding_idx == BINDING_IDX_K) {
         const i8vec2 v0 = unpack8(int32_t(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2])).xy; // vec4 used due to #12147
         const i8vec2 v1 = unpack8(int32_t(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2 + 1])).xy;
 
-        return float(k_packed.k_data_packed16[a_offset + ib].d) * vec4(v0.x, v0.y, v1.x, v1.y);
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(v0.x, v0.y, v1.x, v1.y);
     } else {
         const i8vec2 v0 = unpack8(int32_t(v_packed.v_data_packed16[a_offset + ib].qs[iqs / 2])).xy; // vec4 used due to #12147
         const i8vec2 v1 = unpack8(int32_t(v_packed.v_data_packed16[a_offset + ib].qs[iqs / 2 + 1])).xy;
 
-        return float(v_packed.v_data_packed16[a_offset + ib].d) * vec4(v0.x, v0.y, v1.x, v1.y);
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(v0.x, v0.y, v1.x, v1.y);
     }
 }
 #endif
@@ -189,10 +193,16 @@ void init_indices()
     KV = p.KV;
 
     if (p.k_num > 1) {
-        i = 0;
-        // batch and split_k share gl_WorkGroupID.x
-        gqa_iq1 = gl_WorkGroupID.x / p.k_num;
-        split_k_index = gl_WorkGroupID.x % p.k_num;
+        if (p.gqa_ratio > 1) {
+            i = 0;
+            // batch and split_k share gl_WorkGroupID.x
+            gqa_iq1 = gl_WorkGroupID.x / p.k_num;
+            split_k_index = gl_WorkGroupID.x % p.k_num;
+        } else {
+            gqa_iq1 = 0;
+            split_k_index = gl_WorkGroupID.x % p.k_num;
+            i = gl_WorkGroupID.x / p.k_num;
+        }
     } else if (p.gqa_ratio > 1) {
         i = 0;
         gqa_iq1 = gl_WorkGroupID.x;
@@ -244,3 +254,11 @@ void init_indices()
 // Bias applied to softmax to stay in fp16 range.
 // Based on ggml-cuda issue https://github.com/ggml-org/llama.cpp/issues/18606
 const float FATTN_KQ_MAX_OFFSET = 3.0f*0.6931f;
+
+// Store the output when doing grouped query attention.
+// Rows index by Q's dimension 2, and the first N rows are valid.
+void gqaStore(const in uint32_t r, const in uint32_t c, const in FLOAT_TYPEV4 elems, const in uint32_t o_offset, const in uint32_t iq2, const in uint32_t N)
+{
+    uint32_t offset = (iq2 + r) * HSV / 4 + c;
+    data_ov4[o_offset + offset] = D_TYPEV4(elems);
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp
index b3177738234..526e8da384e 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp
@@ -19,7 +19,6 @@
 const uint32_t MatBr = 16;
 const uint32_t MatBc = 16;
 
-const uint32_t row_split = Bc / MatBc;
 const uint32_t rows_per_thread = Br / row_split;
 const uint32_t cols_per_iter = gl_WorkGroupSize.x / row_split;
 const uint32_t cols_per_thread = Bc / cols_per_iter;
@@ -33,14 +32,7 @@ layout (binding = 2) readonly buffer V {float16_t data_v[];};
 layout (binding = 2) readonly buffer VV4 {f16vec4 data_vv4[];};
 layout (binding = 3) readonly buffer M {float16_t data_m[];};
 
-// Store the output when doing grouped query attention.
-// Rows index by Q's dimension 2, and the first N rows are valid.
-D_TYPE perElemOpGqaStore(const in uint32_t r, const in uint32_t c, const in D_TYPE elem, const in uint32_t o_offset, const in uint32_t iq2, const in uint32_t N)
-{
-    uint32_t offset = (iq2 + r) * HSV + c;
-    data_o[o_offset + offset] = D_TYPE(elem);
-    return elem;
-}
+shared float tmpsh[row_split];
 
 const uint32_t qstride = HSK_pad / 4 + 2; // in units of f16vec4
 shared f16vec4 Qf[Br * qstride];
@@ -52,10 +44,14 @@ shared f16vec4 Psh[Bc * psh_stride];
 const uint32_t sfshstride = (HSK <= 128) ? (Br / 4 + 2) : Br / 4;
 shared ACC_TYPEV4 sfsh[Bc * sfshstride];
 
-const uint32_t kshstride = (K_LOAD_SHMEM != 0 ? HSK_pad : MatBr) / 4 + 2; // in units of f16vec4
+const uint32_t D_pad = HSK_pad > HSV_pad ? HSK_pad : HSV_pad;
+const uint32_t kvsh_stride = (SHMEM_STAGING != 0 ? D_pad : MatBr) / 4 + 2; // in units of f16vec4
 const uint v_cols = MatBc / 4 * row_split; // total cols, 4 vec4s per MatBc * number of subgroups
 const uint vsh_stride = v_cols;
-shared f16vec4 ksh[(kshstride >= vsh_stride) ? (Bc * kshstride) : (Bc * vsh_stride)];
+shared f16vec4 kvsh[(kvsh_stride >= vsh_stride) ? (Bc * kvsh_stride) : (Bc * vsh_stride)];
+
+const uint32_t osh_stride = row_split * MatBr / 4;
+shared f16vec4 pvsh[MatBc * osh_stride];
 
 shared ACC_TYPE slope[Br];
 
@@ -82,11 +78,6 @@ void main() {
                 Qf[i + tid] = f16vec4(0);
             }
         }
-        [[unroll]] for (uint i = 0; i < Bc * kshstride; i += gl_WorkGroupSize.x) {
-            if (i + tid < Bc * kshstride) {
-                ksh[i + tid] = f16vec4(0);
-            }
-        }
         barrier();
     }
 
@@ -102,10 +93,10 @@ void main() {
     }
     barrier();
 
-    ACC_TYPEV4 Of[rows_per_thread][d_per_thread];
+    f16vec4 Of[rows_per_thread][d_per_thread];
     [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
         [[unroll]] for (uint32_t d = 0; d < d_per_thread; ++d) {
-            Of[r][d] = ACC_TYPEV4(0.0);
+            Of[r][d] = f16vec4(0.0);
         }
     }
 
@@ -151,22 +142,22 @@ void main() {
 
     uint32_t mask_opt = 0;
     uint32_t mask_opt_idx = ~0;
+    uint32_t mask_opt_bits = 0;
+    f16vec4 mask_cache[Bc * Br / 4 / WorkGroupSize];
 
     [[dont_unroll]]
     for (uint32_t j = start_j; j < end_j; ++j) {
 
-        f16vec4 mask_cache[Bc * Br / 4 / WorkGroupSize];
         [[unroll]] for (uint32_t idx = 0; idx < mask_cache.length(); ++idx) {
             mask_cache[idx] = f16vec4(0);
         }
 
         if (MASK_ENABLE) {
-
             if (USE_MASK_OPT && mask_opt_idx != j / 16) {
                 mask_opt_idx = j / 16;
                 mask_opt = data_mask_opt[mo_offset + mask_opt_idx];
             }
-            uint32_t mask_opt_bits = (mask_opt >> ((j % 16) * 2)) & 0x3;
+            mask_opt_bits = (mask_opt >> ((j % 16) * 2)) & 0x3;
             if (mask_opt_bits == MASK_OPT_ALL_NEG_INF) {
                 // skip this block
                 continue;
@@ -213,27 +204,40 @@ void main() {
                         }
                     }
                 }
+                // skip the block if the mask is entirely -inf
+                bool all_less = subgroupAll(max_mask <= NEG_FLT_MAX_OVER_2);
+                barrier();
+                if (gl_SubgroupInvocationID == 0) {
+                    tmpsh[gl_SubgroupID] = all_less ? NEG_FLT_MAX_OVER_2 : 0.0f;
+                }
+                barrier();
+                [[unroll]] for (uint s = 0; s < gl_NumSubgroups; ++s) {
+                    max_mask = max(max_mask, tmpsh[s]);
+                }
+                if (max_mask <= NEG_FLT_MAX_OVER_2) {
+                    continue;
+                }
             }
         }
 
-        if (K_LOAD_SHMEM != 0) {
-            [[unroll]] for (uint32_t idx = 0; idx < Bc * HSK / 4; idx += gl_WorkGroupSize.x) {
-                uint32_t d = (idx + tid) % (HSK / 4);
-                uint32_t c = (idx + tid) / (HSK / 4);
-                if (c < Bc && d < HSK / 4) {
+        if (SHMEM_STAGING != 0) {
+            [[unroll]] for (uint32_t idx = 0; idx < Bc * HSK_pad / 4; idx += gl_WorkGroupSize.x) {
+                uint32_t d = (idx + tid) % (HSK_pad / 4);
+                uint32_t c = (idx + tid) / (HSK_pad / 4);
+                if (idx + gl_WorkGroupSize.x <= Bc * HSK_pad / 4 || c < Bc) {
                     f16vec4 K_Tf = f16vec4(0);
-                    if (!KV_bounds_check || j * Bc + c < KV) {
+                    if ((!KV_bounds_check || j * Bc + c < KV) && (HSK == HSK_pad || d < HSK / 4)) {
 #if BLOCK_SIZE > 1
                         uint coord = (j * Bc + c) * k_stride * BLOCK_SIZE + 4 * d;
                         uint ib = coord / BLOCK_SIZE;
                         uint iqs = (coord % BLOCK_SIZE);
-                        K_Tf = f16vec4(dequantize4(ib, iqs, k_offset, BINDING_IDX_K));
+                        K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K);
 #else
                         K_Tf = f16vec4(data_kv4[k_offset / 4 + (j * Bc + c) * k_stride / 4 + d]);
 #endif
                     }
 
-                    ksh[c * kshstride + d] = K_Tf;
+                    kvsh[c * kvsh_stride + d] = K_Tf;
                 }
             }
             barrier();
@@ -247,7 +251,11 @@ void main() {
         coopmat<float16_t, gl_ScopeSubgroup, 16, MatBr, gl_MatrixUseB> QMat;
 
         [[unroll]] for (uint32_t d = 0; d < HSK_pad / 16; ++d) {
-            if (K_LOAD_SHMEM == 0) {
+            // If SHMEM_STAGING is set, a Bc * HSK_pad size tile of K is loaded to shmem
+            // If not, f16 K is loaded directly from global memory if aligned, otherwise
+            // staged through a Bc * MatBr size staging buffer.
+            // If K is not type f16, then it is always staged for dequantization.
+            if (SHMEM_STAGING == 0) {
 #if BLOCK_SIZE == 1
             if (KV_bounds_check || d * 16 + 16 > HSK) {
 #endif
@@ -262,13 +270,13 @@ void main() {
                         uint coord = (j * Bc + row) * k_stride * BLOCK_SIZE + d * 16 + col_vec * 4;
                         uint ib = coord / BLOCK_SIZE;
                         uint iqs = (coord % BLOCK_SIZE);
-                        K_Tf = f16vec4(dequantize4(ib, iqs, k_offset, BINDING_IDX_K));
+                        K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K);
 #else
                         K_Tf = f16vec4(data_kv4[k_offset / 4 + (j * Bc + row) * k_stride / 4 + d * 16 / 4 + col_vec]);
 #endif
                     }
 
-                    ksh[row * kshstride + col_vec] = K_Tf;
+                    kvsh[row * kvsh_stride + col_vec] = K_Tf;
                 }
             }
             barrier();
@@ -280,8 +288,8 @@ void main() {
             if (KV_bounds_check || d * 16 + 16 > HSK)
 #endif
             {
-                uint coord = (gl_SubgroupID * MatBc) * kshstride;
-                coopMatLoad(KMat, ksh, coord, kshstride, gl_CooperativeMatrixLayoutRowMajor);
+                uint coord = (gl_SubgroupID * MatBc) * kvsh_stride;
+                coopMatLoad(KMat, kvsh, coord, kvsh_stride, gl_CooperativeMatrixLayoutRowMajor);
             }
 #if BLOCK_SIZE == 1
             else {
@@ -290,8 +298,8 @@ void main() {
             }
 #endif
             } else {
-                uint coord = (gl_SubgroupID * MatBc) * kshstride + d * 16 / 4;
-                coopMatLoad(KMat, ksh, coord, kshstride, gl_CooperativeMatrixLayoutRowMajor);
+                uint coord = (gl_SubgroupID * MatBc) * kvsh_stride + d * 16 / 4;
+                coopMatLoad(KMat, kvsh, coord, kvsh_stride, gl_CooperativeMatrixLayoutRowMajor);
             }
 
             coopMatLoad(QMat, Qf, d * 16 / 4, qstride, gl_CooperativeMatrixLayoutColumnMajor);
@@ -314,7 +322,7 @@ void main() {
             barrier();
         }
 
-        if (MASK_ENABLE) {
+        if (MASK_ENABLE && mask_opt_bits != MASK_OPT_ALL_ZERO) {
             [[unroll]] for (uint32_t idx = 0; idx < Bc * Br / 4; idx += gl_WorkGroupSize.x) {
                 uint32_t c = (idx + tid) / (Br / 4);
                 uint32_t r = (idx + tid) % (Br / 4);
@@ -359,7 +367,7 @@ void main() {
         [[unroll]] for (uint32_t d0 = 0; d0 < HSV / 4; d0 += threads_per_rowgroup) {
             const uint d_local = d0 / threads_per_rowgroup;
             [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
-                Of[r][d_local] = ACC_TYPE(eMf[r]) * Of[r][d_local];
+                Of[r][d_local] = float16_t(eMf[r]) * Of[r][d_local];
             }
         }
 
@@ -382,19 +390,47 @@ void main() {
             }
         }
 
+        if (SHMEM_STAGING != 0) {
+            [[unroll]] for (uint32_t idx = 0; idx < Bc * HSV_pad / 4; idx += gl_WorkGroupSize.x) {
+                uint32_t d = (idx + tid) % (HSV_pad / 4);
+                uint32_t c = (idx + tid) / (HSV_pad / 4);
+                if (idx + gl_WorkGroupSize.x <= Bc * HSV_pad / 4 || c < Bc) {
+                    f16vec4 V_Tf = f16vec4(0);
+                    if ((!KV_bounds_check || j * Bc + c < KV) && (HSV == HSV_pad || d < HSV / 4)) {
+#if BLOCK_SIZE > 1
+                        uint coord = (j * Bc + c) * v_stride * BLOCK_SIZE + 4 * d;
+                        uint ib = coord / BLOCK_SIZE;
+                        uint iqs = (coord % BLOCK_SIZE);
+                        V_Tf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V);
+#else
+                        V_Tf = f16vec4(data_vv4[v_offset / 4 + (j * Bc + c) * v_stride / 4 + d]);
+#endif
+                    }
+
+                    kvsh[c * kvsh_stride + d] = V_Tf;
+                }
+            }
+        }
+        barrier();
+
         const uint num_hsv_tiles = (HSV + MatBc * row_split - 1) / (MatBc * row_split); // round up
 
         // Each subgroup handles HSV/4 columns
         [[unroll]] for (uint32_t hsv_tile = 0; hsv_tile < num_hsv_tiles; ++hsv_tile) {
             const uint hsv_offset = (hsv_tile * row_split + gl_SubgroupID) * 16;
 
-            SfMat = coopmat<ACC_TYPE, gl_ScopeSubgroup, MatBc, MatBr, gl_MatrixUseAccumulator>(0);
+            coopmat<float16_t, gl_ScopeSubgroup, MatBc, MatBr, gl_MatrixUseAccumulator> PVMat = coopmat<float16_t, gl_ScopeSubgroup, MatBc, MatBr, gl_MatrixUseAccumulator>(0);
 
             // Preload V tiles for [Bc, 16 * num subgroups]
             const uint v_rows = Bc;
             const uint v_total = v_rows * v_cols;
             const uint v_loads_per_thread = v_total / gl_WorkGroupSize.x;
 
+            // If SHMEM_STAGING is set, a Bc * HSV_pad size tile of V is loaded to shmem.
+            // If not, f16 V is loaded directly from global memory if aligned, otherwise
+            // staged through a Bc * MatBr size staging buffer.
+            // If V is not type f16, then it is always staged for dequantization.
+            if (SHMEM_STAGING == 0) {
 #if BLOCK_SIZE == 1
             // For f16, only preload if not aligned
             if (KV_bounds_check) {
@@ -413,44 +449,52 @@ void main() {
 
                 if (!KV_bounds_check || (v_row < KV && v_col < HSV)) {
 #if BLOCK_SIZE > 1
-                    ksh[row * vsh_stride + col] = f16vec4(dequantize4(ib, iqs, v_offset, BINDING_IDX_V));
+                    kvsh[row * vsh_stride + col] = dequantize4(ib, iqs, v_offset, BINDING_IDX_V);
 #else
-                    ksh[row * vsh_stride + col] = data_vv4[(v_offset + v_row * v_stride + v_col) / 4];
+                    kvsh[row * vsh_stride + col] = data_vv4[(v_offset + v_row * v_stride + v_col) / 4];
 #endif
                 } else {
-                    ksh[row * vsh_stride + col] = f16vec4(0.0f);
+                    kvsh[row * vsh_stride + col] = f16vec4(0.0f);
                 }
             }
+
 #if BLOCK_SIZE == 1
             }
 #endif
-
+            }
             barrier();
 
-            [[unroll]] for (uint32_t bc_chunk = 0; bc_chunk < Bc / MatBc; ++bc_chunk) {
-                coopMatLoad(KMat, Psh, bc_chunk * MatBc * psh_stride, psh_stride, gl_CooperativeMatrixLayoutColumnMajor);
+            const uint o_offset = gl_SubgroupID * MatBr / 4;
+
+            if (hsv_offset < HSV_pad) {
+                [[unroll]] for (uint32_t bc_chunk = 0; bc_chunk < Bc / MatBc; ++bc_chunk) {
+                    coopMatLoad(KMat, Psh, bc_chunk * MatBc * psh_stride, psh_stride, gl_CooperativeMatrixLayoutColumnMajor);
 
+                    if (SHMEM_STAGING == 0) {
 #if BLOCK_SIZE == 1
-                if (!KV_bounds_check) {
-                    // F16 values can be loaded directly from global memory
-                    const uint v_tile_row = j * Bc + bc_chunk * MatBc;
-                    const uint v_tile_offset = v_offset / 4 + v_tile_row * v_stride / 4 + hsv_offset / 4;
-                    coopMatLoad(QMat, data_vv4, v_tile_offset, v_stride / 4, gl_CooperativeMatrixLayoutRowMajor);
-                } else
+                    if (!KV_bounds_check) {
+                        // F16 values can be loaded directly from global memory
+                        const uint v_tile_row = j * Bc + bc_chunk * MatBc;
+                        const uint v_tile_offset = v_offset / 4 + v_tile_row * v_stride / 4 + hsv_offset / 4;
+                        coopMatLoad(QMat, data_vv4, v_tile_offset, v_stride / 4, gl_CooperativeMatrixLayoutRowMajor);
+                    } else
 #endif
-                {
-                    const uint v_tile_offset = bc_chunk * MatBr * v_cols + gl_SubgroupID * (MatBc / 4);
-                    coopMatLoad(QMat, ksh, v_tile_offset, vsh_stride, gl_CooperativeMatrixLayoutRowMajor);
+                    {
+                        const uint v_tile_offset = bc_chunk * MatBr * v_cols + gl_SubgroupID * (MatBc / 4);
+                        coopMatLoad(QMat, kvsh, v_tile_offset, vsh_stride, gl_CooperativeMatrixLayoutRowMajor);
+                    }
+                    } else {
+                        const uint v_tile_offset = bc_chunk * MatBc * kvsh_stride + (hsv_tile * row_split + gl_SubgroupID) * (MatBc / 4);
+                        coopMatLoad(QMat, kvsh, v_tile_offset, kvsh_stride, gl_CooperativeMatrixLayoutRowMajor);
+                    }
+
+                    PVMat = coopMatMulAdd(KMat, QMat, PVMat);
                 }
 
-                SfMat = coopMatMulAdd(KMat, QMat, SfMat);
+                // Store PVMat to pvsh and load into Of
+                coopMatStore(PVMat, pvsh, o_offset, osh_stride, gl_CooperativeMatrixLayoutRowMajor);
             }
 
-            // Store SfMat to sfsh and load into Of
-            const uint osh_stride = row_split * MatBc / 4;
-            const uint o_offset = gl_SubgroupID * MatBc / 4;
-            coopMatStore(SfMat, sfsh, o_offset, osh_stride, gl_CooperativeMatrixLayoutRowMajor);
-
             barrier();
 
             const uint hsv_per_tile = row_split * MatBc;
@@ -469,7 +513,7 @@ void main() {
 
                     if (hsv_col >= hsv_base && hsv_col < hsv_base + hsv_per_tile && hsv_col < HSV) {
                         const uint local_hsv = (hsv_col - hsv_base) / 4;
-                        Of[r][d_local] += ACC_TYPEV4(sfsh[row * osh_stride + local_hsv]);
+                        Of[r][d_local] += pvsh[row * osh_stride + local_hsv];
                     }
                 }
             }
@@ -485,27 +529,48 @@ void main() {
     // If there is split_k, then the split_k resolve shader does the final
     // division by L. Store the intermediate O value and per-row m and L values.
     if (p.k_num > 1) {
-        // note: O and Q have swapped coord 1,2.
-        uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
+        if (p.gqa_ratio > 1) {
+            // note: O and Q have swapped coord 1,2.
+            uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3)) / 4;
 
-        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
-            if (tile_row(r) < N) {
-                [[unroll]] for (uint32_t d0 = 0; d0 < HSV / 4; d0 += threads_per_rowgroup) {
-                    const uint d = d0 + col_tid;
-                    if (d >= HSV/4) break;
-                    const uint d_local = d0 / threads_per_rowgroup;
-                    [[unroll]] for (uint32_t comp = 0; comp < 4; ++comp) {
-                        perElemOpGqaStore(tile_row(r), 4 * d + comp, float(Of[r][d_local][comp]), o_offset, iq2, N);
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                if (tile_row(r) < N) {
+                    [[unroll]] for (uint32_t d0 = 0; d0 < HSV / 4; d0 += threads_per_rowgroup) {
+                        const uint d = d0 + col_tid;
+                        if (d >= HSV/4) break;
+                        const uint d_local = d0 / threads_per_rowgroup;
+                        gqaStore(tile_row(r), d, Of[r][d_local], o_offset, iq2, N);
                     }
                 }
             }
-        }
 
-        o_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
-        [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
-            if (tile_row(r) < N) {
-                perElemOpStoreCol0(tile_row(r), 0u, ACC_TYPE(Lf[r]), o_offset, iq2, N);
-                perElemOpStoreCol0(tile_row(r), 0u, ACC_TYPE(Mf[r]), o_offset + p.ne1, iq2, N);
+            o_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                if (tile_row(r) < N) {
+                    perElemOpStoreCol0(tile_row(r), 0u, ACC_TYPE(Lf[r]), o_offset, iq2, N);
+                    perElemOpStoreCol0(tile_row(r), 0u, ACC_TYPE(Mf[r]), o_offset + p.ne1, iq2, N);
+                }
+            }
+        } else {
+            [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                const uint row = tile_row(r);
+                const uint global_row = i * Br + row;
+
+                if (global_row < N) {
+                    uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (global_row + p.ne2 * iq3)) / 4;
+
+                    [[unroll]] for (uint32_t d0 = 0; d0 < HSV / 4; d0 += threads_per_rowgroup) {
+                        const uint d = d0 + col_tid;
+                        if (d >= HSV/4) break;
+                        data_ov4[o_offset + iq2 * HSV/4 + d] = D_TYPEV4(Of[r][d/threads_per_rowgroup]);
+                    }
+                }
+
+                if (global_row < N && col_tid == 0) {
+                    uint32_t lm_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (global_row + p.ne2 * iq3));
+                    data_o[lm_offset + iq2] = D_TYPE(Lf[r]);
+                    data_o[lm_offset + p.ne1 + iq2] = D_TYPE(Mf[r]);
+                }
             }
         }
 
@@ -524,7 +589,7 @@ void main() {
 
                 [[unroll]] for (uint32_t d0 = 0; d0 < HSV / 4; d0 += threads_per_rowgroup) {
                     const uint d_local = d0 / threads_per_rowgroup;
-                    Of[r][d_local] *= ACC_TYPE(ms);
+                    Of[r][d_local] *= float16_t(ms);
                 }
             } else {
                 vs = exp(sink - Mf[r]);
@@ -542,14 +607,14 @@ void main() {
     [[unroll]] for (uint32_t d0 = 0; d0 < HSV / 4; d0 += threads_per_rowgroup) {
         const uint d_local = d0 / threads_per_rowgroup;
         [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
-            Of[r][d_local] *= ACC_TYPE(Lfrcp[r]);
-#if defined(ACC_TYPE_MAX)
-            Of[r][d_local] = clamp(Of[r][d_local], -ACC_TYPE_MAX, ACC_TYPE_MAX);
+            Of[r][d_local] *= float16_t(Lfrcp[r]);
+#if defined(FLOAT_TYPE_MAX)
+            Of[r][d_local] = clamp(Of[r][d_local], -FLOAT_TYPE_MAX, FLOAT_TYPE_MAX);
 #endif
         }
     }
 
-    uint32_t o_offset = gqa_iq1*p.ne1*HSV + iq3*p.ne2*p.ne1*HSV;
+    uint32_t o_offset = (gqa_iq1*p.ne1*HSV + iq3*p.ne2*p.ne1*HSV) / 4;
 
     if (p.gqa_ratio > 1) {
         [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
@@ -558,9 +623,7 @@ void main() {
                     const uint d = d0 + col_tid;
                     if (d >= HSV / 4) break;
                     const uint d_local = d0 / threads_per_rowgroup;
-                    [[unroll]] for (uint32_t comp = 0; comp < 4; ++comp) {
-                        perElemOpGqaStore(tile_row(r), 4 * d + comp, float(Of[r][d_local][comp]), o_offset, iq2, N);
-                    }
+                    gqaStore(tile_row(r), d, Of[r][d_local], o_offset, iq2, N);
                 }
             }
         }
@@ -571,9 +634,7 @@ void main() {
                     const uint d = d0 + col_tid;
                     if (d >= HSV / 4) break;
                     const uint d_local = d0 / threads_per_rowgroup;
-                    [[unroll]] for (uint32_t comp = 0; comp < 4; ++comp) {
-                        data_o[o_offset + iq2 * HSV + (i * Br + tile_row(r)) * p.ne1 * HSV + 4 * d + comp] = D_TYPE(Of[r][d_local][comp]);
-                    }
+                    data_ov4[o_offset + (iq2 * HSV + (i * Br + tile_row(r)) * p.ne1 * HSV) / 4 + d] = D_TYPEV4(Of[r][d_local]);
                 }
             }
         }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp
index 39f0c4d23b9..0ea181342ce 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp
@@ -72,6 +72,28 @@ D_TYPE perElemOpGqaStore(const in uint32_t r, const in uint32_t c, const in D_TY
     return elem;
 }
 
+// Store O values for non-GQA split_k. Rows are tokens, not heads.
+D_TYPE perElemOpNonGqaSplitKStore(const in uint32_t r, const in uint32_t c, const in D_TYPE elem, const in uint32_t unused, const in uint32_t iq2, const in uint32_t N) {
+    uint32_t global_row = i * Br + r;
+    if (global_row < N && c < HSV) {
+        uint32_t o_off = HSV * p.ne1
+            * (split_k_index + p.k_num * (global_row + p.ne2 * iq3));
+        data_o[o_off + iq2 * HSV + c] = D_TYPE(elem);
+    }
+    return elem;
+}
+
+// Store L/M values for non-GQA split_k.
+ACC_TYPE perElemOpNonGqaSplitKStoreCol0(const in uint32_t r, const in uint32_t c, const in ACC_TYPE elem, const in uint32_t lm_base, const in uint32_t iq2, const in uint32_t N) {
+    uint32_t global_row = i * Br + r;
+    if (global_row < N && c == 0) {
+        uint32_t lm_off = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3
+            + p.ne1 * 2 * (split_k_index + p.k_num * (global_row + p.ne2 * iq3));
+        data_o[lm_off + lm_base + iq2] = D_TYPE(elem);
+    }
+    return elem;
+}
+
 void main() {
 #ifdef NEEDS_INIT_IQ_SHMEM
     init_iq_shmem(gl_WorkGroupSize);
@@ -176,7 +198,14 @@ void main() {
                     tensorLayoutM = setTensorLayoutStrideNV(tensorLayoutM, m_stride, 1);
                     tensorLayoutM = setTensorLayoutClampValueNV(tensorLayoutM, 0xfc00); // -inf in float16_t
 
+                    coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mvmax;
+
                     coopMatLoadTensorNV(mv, data_m, m_offset, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));
+                    // skip the block if the mask is entirely -inf
+                    coopMatReduceNV(mvmax, mv, gl_CooperativeMatrixReduceRowAndColumnNV, maxReduceFp16);
+                    if (mvmax[0] <= NEG_FLT_MAX_OVER_2) {
+                        continue;
+                    }
                 } else {
                     tensorLayoutNV<2, Clamp> tensorLayoutM = createTensorLayoutNV(2, Clamp);
                     // Don't clamp against nem1 when GQA is enabled
@@ -184,7 +213,14 @@ void main() {
                     tensorLayoutM = setTensorLayoutDimensionNV(tensorLayoutM, m_height, KV);
                     tensorLayoutM = setTensorLayoutStrideNV(tensorLayoutM, m_stride, 1);
 
+                    coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mvmax;
+
                     coopMatLoadTensorNV(mv, data_m, m_offset, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));
+                    // skip the block if the mask is entirely -inf
+                    coopMatReduceNV(mvmax, mv, gl_CooperativeMatrixReduceRowAndColumnNV, maxReduceFp16);
+                    if (mvmax[0] <= NEG_FLT_MAX_OVER_2) {
+                        continue;
+                    }
                 }
             }
         }
@@ -276,13 +312,19 @@ void main() {
     if (p.k_num > 1) {
         coopmat<D_TYPE, gl_ScopeWorkgroup, Br, HSV_pad, gl_MatrixUseAccumulator> O_D = coopmat<D_TYPE, gl_ScopeWorkgroup, Br, HSV_pad, gl_MatrixUseAccumulator>(O);
 
-        // note: O and Q have swapped coord 1,2.
-        uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
-        coopMatPerElementNV(O_D, O_D, perElemOpGqaStore, o_offset, iq2, N);
-
-        o_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
-        coopMatPerElementNV(L, L, perElemOpStoreCol0, o_offset, iq2, N);
-        coopMatPerElementNV(M, M, perElemOpStoreCol0, o_offset + p.ne1, iq2, N);
+        if (p.gqa_ratio > 1) {
+            // note: O and Q have swapped coord 1,2.
+            uint32_t o_offset = HSV * p.ne1 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
+            coopMatPerElementNV(O_D, O_D, perElemOpGqaStore, o_offset, iq2, N);
+
+            o_offset = HSV * p.ne1 * p.k_num * p.ne2 * p.ne3 + p.ne1 * 2 * (split_k_index + p.k_num * (gqa_iq1 + p.ne2 * iq3));
+            coopMatPerElementNV(L, L, perElemOpStoreCol0, o_offset, iq2, N);
+            coopMatPerElementNV(M, M, perElemOpStoreCol0, o_offset + p.ne1, iq2, N);
+        } else {
+            coopMatPerElementNV(O_D, O_D, perElemOpNonGqaSplitKStore, 0u, iq2, N);
+            coopMatPerElementNV(L, L, perElemOpNonGqaSplitKStoreCol0, 0u, iq2, N);
+            coopMatPerElementNV(M, M, perElemOpNonGqaSplitKStoreCol0, p.ne1, iq2, N);
+        }
         return;
     }
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp
index 8c92c1adcda..0e417708062 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp
@@ -33,6 +33,61 @@ layout (push_constant) uniform parameter {
 shared float minsh[NUM_SUBGROUPS];
 shared float maxsh[NUM_SUBGROUPS];
 
+float FLT_MAX_OVER_2 = uintBitsToFloat(0x7EFFFFFF);
+
+void loadvec4(inout uint result, const uint i0, const uint i1, const uint i2, const uint i3, const bool need_bounds_check) {
+    const uint tid = gl_LocalInvocationIndex;
+
+    [[unroll]] for (uint block_x = 0; block_x < 16; ++block_x) {
+        float min_v = FLT_MAX_OVER_2;
+        float max_v = -FLT_MAX_OVER_2;
+        [[unroll]] for (uint i = 0; i < Br * Bc / 4; i += BLOCK_SIZE) {
+            uint j0 = (i + tid) % (Bc / 4);
+            uint j1 = (i + tid) / (Bc / 4);
+
+            j0 *= 4;
+            j0 += (i0 * 16 + block_x) * Bc;
+            j1 += i1 * Br;
+
+            if (!need_bounds_check || j0 + 3 < nem0) {
+                vec4 f = vec4(data_av4[(j0 + j1 * nbm1 + i2 * nbm2 + i3 * nbm3) / 4]);
+                [[unroll]] for (int c = 0; c < 4; ++c) {
+                    min_v = min(min_v, f[c]);
+                    max_v = max(max_v, f[c]);
+                }
+            } else {
+                [[unroll]] for (int c = 0; c < 4; ++c) {
+                    if (j0 + c < nem0) {
+                        float f = float(data_a[j0 + j1 * nbm1 + i2 * nbm2 + i3 * nbm3]);
+                        min_v = min(min_v, f);
+                        max_v = max(max_v, f);
+                    }
+                }
+            }
+        }
+        min_v = subgroupMin(min_v);
+        max_v = subgroupMax(max_v);
+        if (gl_SubgroupInvocationID == 0) {
+            minsh[gl_SubgroupID] = min_v;
+            maxsh[gl_SubgroupID] = max_v;
+        }
+        barrier();
+        if (tid == 0) {
+            [[unroll]] for (uint i = 0; i < NUM_SUBGROUPS; ++i) {
+                min_v = min(min_v, minsh[i]);
+                max_v = max(max_v, maxsh[i]);
+            }
+            if (max_v <= -FLT_MAX_OVER_2) {
+                result |= 1 << (2*block_x);
+            }
+            if (min_v == 0.0f && max_v == 0.0f) {
+                result |= 2 << (2*block_x);
+            }
+        }
+        barrier();
+    }
+}
+
 // For each Br x Bc block of the mask (input) buffer, read all values and check
 // if it's all -inf or all zero. Write out a two-bit code indicating which it is
 // (or zero for neither). Each workgroup processes 16 tiles and writes out a
@@ -48,50 +103,15 @@ void main() {
     const uint i2 = gl_WorkGroupID.z % nem2;
     const uint i3 = gl_WorkGroupID.z / nem2;
 
-    float FLT_MAX_OVER_2 = uintBitsToFloat(0x7EFFFFFF);
-
     uint result = 0;
 
     // Fast path for fully in-bounds blocks where we can do f16vec4 loads
     if ((nem0 % Bc) == 0 && (nem1 % Br) == 0 &&
         ((Br * Bc) % (BLOCK_SIZE * 4)) == 0) {
-        [[unroll]] for (uint block_x = 0; block_x < 16; ++block_x) {
-            float min_v = FLT_MAX_OVER_2;
-            float max_v = -FLT_MAX_OVER_2;
-            [[unroll]] for (uint i = 0; i < Br * Bc / 4; i += BLOCK_SIZE) {
-                uint j0 = (i + tid) % (Bc / 4);
-                uint j1 = (i + tid) / (Bc / 4);
-
-                j0 *= 4;
-                j0 += (i0 * 16 + block_x) * Bc;
-                j1 += i1 * Br;
-
-                vec4 f = vec4(data_av4[(j0 + j1 * nbm1 + i2 * nbm2 + i3 * nbm3) / 4]);
-                [[unroll]] for (int c = 0; c < 4; ++c) {
-                    min_v = min(min_v, f[c]);
-                    max_v = max(max_v, f[c]);
-                }
-            }
-            min_v = subgroupMin(min_v);
-            max_v = subgroupMax(max_v);
-            if (gl_SubgroupInvocationID == 0) {
-                minsh[gl_SubgroupID] = min_v;
-                maxsh[gl_SubgroupID] = max_v;
-            }
-            barrier();
-            if (tid == 0) {
-                [[unroll]] for (uint i = 0; i < NUM_SUBGROUPS; ++i) {
-                    min_v = min(min_v, minsh[i]);
-                    max_v = max(max_v, maxsh[i]);
-                }
-                if (max_v <= -FLT_MAX_OVER_2) {
-                    result |= 1 << (2*block_x);
-                }
-                if (min_v == 0.0f && max_v == 0.0f) {
-                    result |= 2 << (2*block_x);
-                }
-            }
-            barrier();
+        if ((i0 + 1) * 16 * Bc <= nem0) {
+            loadvec4(result, i0, i1, i2, i3, false);
+        } else {
+            loadvec4(result, i0, i1, i2, i3, true);
         }
     } else {
         [[unroll]] for (uint block_x = 0; block_x < 16; ++block_x) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp b/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp
new file mode 100644
index 00000000000..f008859b99d
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp
@@ -0,0 +1,128 @@
+#version 450
+
+#extension GL_EXT_control_flow_attributes : require
+
+layout(constant_id = 0) const uint S_V = 128;
+layout(constant_id = 1) const uint KDA = 0;
+
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout(push_constant) uniform Parameters {
+    uint H;
+    uint n_tokens;
+    uint n_seqs;
+    uint s_off;
+    uint sq1, sq2, sq3;
+    uint sv1, sv2, sv3;
+    uint sb1, sb2, sb3;
+    uint neq1, rq3;
+    float scale;
+};
+
+layout(binding = 0) readonly  buffer QBuf     { FLOAT_TYPE data_q[];     };
+layout(binding = 1) readonly  buffer KBuf     { FLOAT_TYPE data_k[];     };
+layout(binding = 2) readonly  buffer VBuf     { FLOAT_TYPE data_v[];     };
+layout(binding = 3) readonly  buffer GBuf     { FLOAT_TYPE data_g[];     };
+layout(binding = 4) readonly  buffer BetaBuf  { FLOAT_TYPE data_beta[];  };
+layout(binding = 5) readonly  buffer StateBuf { FLOAT_TYPE data_state[]; };
+layout(binding = 6)           buffer DstBuf   { FLOAT_TYPE data_dst[];   };
+
+shared FLOAT_TYPE s_k[S_V];
+shared FLOAT_TYPE s_q[S_V];
+shared FLOAT_TYPE s_g[S_V]; // KDA only: cached exp(g[i])
+
+void main() {
+    const uint head_id = gl_WorkGroupID.x;
+    const uint seq_id  = gl_WorkGroupID.y;
+    const uint col     = gl_LocalInvocationID.x;
+
+    const uint iq1 = head_id % neq1;
+    const uint iq3 = seq_id / rq3;
+
+    const uint state_size = S_V * S_V;
+    const uint state_base = (seq_id * H + head_id) * state_size;
+
+    FLOAT_TYPE state[S_V];
+    [[unroll]] for (uint i = 0; i < S_V; i++) {
+        state[i] = FLOAT_TYPE(data_state[state_base + col * S_V + i]);
+    }
+
+    uint attn_off = (seq_id * n_tokens * H + head_id) * S_V;
+
+    for (uint t = 0; t < n_tokens; t++) {
+        const uint q_off = iq3 * sq3 + t * sq2 + iq1 * sq1;
+        const uint k_off = q_off;
+        const uint v_off = seq_id * sv3 + t * sv2 + head_id * sv1;
+
+        s_q[col] = FLOAT_TYPE(data_q[q_off + col]);
+        s_k[col] = FLOAT_TYPE(data_k[k_off + col]);
+
+        const uint gb_off = seq_id * sb3 + t * sb2 + head_id * sb1;
+
+        if (KDA != 0) {
+            const uint g_base = gb_off * S_V;
+            s_g[col] = exp(FLOAT_TYPE(data_g[g_base + col]));
+        }
+
+        barrier();
+
+        const FLOAT_TYPE v_val = FLOAT_TYPE(data_v[v_off + col]);
+        const FLOAT_TYPE beta_val = FLOAT_TYPE(data_beta[gb_off]);
+
+        if (KDA == 0) {
+            const FLOAT_TYPE g_val = exp(FLOAT_TYPE(data_g[gb_off]));
+
+            FLOAT_TYPE kv_col = 0.0;
+            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
+                kv_col += dot(
+                    vec4(state[i], state[i+1], state[i+2], state[i+3]),
+                    vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3])
+                );
+            }
+
+            FLOAT_TYPE delta_col = (v_val - g_val * kv_col) * beta_val;
+
+            FLOAT_TYPE attn_col = 0.0;
+            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
+                vec4 sv = vec4(state[i], state[i+1], state[i+2], state[i+3]);
+                vec4 kv = vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3]);
+                sv = g_val * sv + kv * delta_col;
+                state[i] = sv.x; state[i+1] = sv.y; state[i+2] = sv.z; state[i+3] = sv.w;
+
+                attn_col += dot(sv, vec4(s_q[i], s_q[i+1], s_q[i+2], s_q[i+3]));
+            }
+
+            data_dst[attn_off + col] = attn_col * scale;
+        } else {
+            FLOAT_TYPE kv_col = 0.0;
+            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
+                vec4 gv = vec4(s_g[i], s_g[i+1], s_g[i+2], s_g[i+3]);
+                vec4 sv = vec4(state[i], state[i+1], state[i+2], state[i+3]);
+                vec4 kv = vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3]);
+                kv_col += dot(gv * sv, kv);
+            }
+
+            FLOAT_TYPE delta_col = (v_val - kv_col) * beta_val;
+
+            FLOAT_TYPE attn_col = 0.0;
+            [[unroll]] for (uint i = 0; i < S_V; i += 4) {
+                vec4 gv = vec4(s_g[i], s_g[i+1], s_g[i+2], s_g[i+3]);
+                vec4 sv = vec4(state[i], state[i+1], state[i+2], state[i+3]);
+                vec4 kv = vec4(s_k[i], s_k[i+1], s_k[i+2], s_k[i+3]);
+                sv = gv * sv + kv * delta_col;
+                state[i] = sv.x; state[i+1] = sv.y; state[i+2] = sv.z; state[i+3] = sv.w;
+
+                attn_col += dot(sv, vec4(s_q[i], s_q[i+1], s_q[i+2], s_q[i+3]));
+            }
+
+            data_dst[attn_off + col] = attn_col * scale;
+        }
+
+        attn_off += S_V * H;
+        barrier();
+    }
+
+    [[unroll]] for (uint i = 0; i < S_V; i++) {
+        data_dst[s_off + state_base + col * S_V + i] = state[i];
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp
index 83ef2f87958..f9af46744df 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp
@@ -1,6 +1,6 @@
 #version 450
 
-#include "generic_head.glsl"
+#include "generic_unary_head.glsl"
 #include "types.glsl"
 
 #extension GL_EXT_control_flow_attributes : enable
@@ -8,19 +8,22 @@
 
 layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
 
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
 shared FLOAT_TYPE sum[BLOCK_SIZE];
 
 void main() {
     const uint row = gl_WorkGroupID.z * 262144 + gl_WorkGroupID.y * 512 + gl_WorkGroupID.x;
     const uint tid = gl_LocalInvocationID.x;
 
+    const uint i3 = row / (p.ne11 * p.ne12);
+    const uint i3_offset = i3 * p.ne12 * p.ne11;
+    const uint i2 = (row - i3_offset) / p.ne11;
+    const uint i2_offset = i2 * p.ne11;
+    const uint i1 = row - i3_offset - i2_offset;
+
     sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp
 
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]);
+    [[unroll]] for (uint i0 = tid; i0 < p.ne00; i0 += BLOCK_SIZE) {
+        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[i3*p.nb03 + i2*p.nb02 + i1*p.nb01 + i0]);
         sum[tid] += xi * xi;
     }
 
@@ -33,9 +36,9 @@ void main() {
         barrier();
     }
 
-    const FLOAT_TYPE scale = inversesqrt(max(sum[0], FLOAT_TYPE(p.param1)));
+    const FLOAT_TYPE scale = 1.0f / max(sqrt(sum[0]), FLOAT_TYPE(p.param1));
 
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col]));
+    [[unroll]] for (uint i0 = tid; i0 < p.ne00; i0 += BLOCK_SIZE) {
+        data_d[i3*p.nb13 + i2*p.nb12 + i1*p.nb11 + i0] = D_TYPE(scale * FLOAT_TYPE(data_a[i3*p.nb03 + i2*p.nb02 + i1*p.nb01 + i0]));
     }
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_base.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_base.glsl
index 4f2c7003065..4aeda68c7f2 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_base.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_base.glsl
@@ -32,6 +32,7 @@ layout (push_constant) uniform parameter
     uint expert_i1;
     uint nbi1;
 #else
+    uint base_work_group_y;
     uint ne02;
     uint ne12;
     uint broadcast2;
@@ -45,9 +46,9 @@ uint expert_id;
 
 void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) {
 #ifdef MUL_MAT_ID
-    const uint expert_i0 = gl_GlobalInvocationID.y;
+    const uint expert_i0 = gl_WorkGroupID.y;
 #else
-    const uint batch_idx = gl_GlobalInvocationID.y;
+    const uint batch_idx = gl_WorkGroupID.y + p.base_work_group_y;
 #endif
 
 #ifndef MUL_MAT_ID
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
index 775e9a70f6d..23f3bd8d6d0 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
@@ -90,6 +90,8 @@ layout (push_constant) uniform parameter
     uint nbi1;
     uint ne11;
 #else
+    uint base_work_group_z;
+    uint num_batches;
     uint k_split;
     uint ne02;
     uint ne12;
@@ -139,7 +141,7 @@ void main() {
     const uint ic = gl_WorkGroupID.y;
 
 #ifdef MUL_MAT_ID
-    const uint expert_idx = gl_GlobalInvocationID.z;
+    const uint expert_idx = gl_WorkGroupID.z;
     if (ic * BN >= data_expert_count[expert_idx]) {
         return;
     }
@@ -149,7 +151,7 @@ void main() {
 #endif
 
 #ifndef MUL_MAT_ID
-    const uint batch_idx = gl_GlobalInvocationID.z;
+    const uint batch_idx = gl_WorkGroupID.z + p.base_work_group_z;
 
     const uint i13 = batch_idx / p.ne12;
     const uint i12 = batch_idx % p.ne12;
@@ -366,7 +368,7 @@ void main() {
     const uint dc = ic * BN + warp_c * WN;
 
 #ifndef MUL_MAT_ID
-    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
+    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * p.num_batches;
 #endif
 
 #ifdef COOPMAT
@@ -375,6 +377,7 @@ void main() {
         [[unroll]] for (uint cm_col = 0; cm_col < cms_per_col; cm_col++) {
             coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor);
 
+            barrier();
             [[unroll]] for (uint col = 0; col < TN; col += storestride) {
                 const uint row_i = dc + cm_col * TN + col + store_c;
                 if (row_i >= _ne1) break;
@@ -385,6 +388,7 @@ void main() {
                     data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]);
                 }
             }
+            barrier();
         }
     }
 #else
@@ -402,18 +406,22 @@ void main() {
                 // Full coopMat is within bounds, but stride_d is not aligned
                 coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor);
 
+                controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease);
                 [[unroll]] for (uint col = 0; col < TN; col += storestride) {
                     data_d[offsets + (dc + cm_col * TN + col + store_c) * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]);
                 }
+                controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease);
             } else if (dr + cm_row * TM < p.M && dc + cm_col * TN < p.N) {
                 // Partial coopMat is within bounds
                 coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor);
 
+                controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease);
                 [[unroll]] for (uint col = 0; col < TN; col += storestride) {
                     if (dr + cm_row * TM + store_r < p.M && dc + cm_col * TN + col + store_c < p.N) {
                         data_d[offsets + (dc + cm_col * TN + col + store_c) * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]);
                     }
                 }
+                controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease);
             }
         }
     }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp
index b6614d2fc59..497a18ff8a7 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp
@@ -53,6 +53,8 @@ layout (push_constant) uniform parameter
     uint nbi1;
     uint ne11;
 #else
+    uint base_work_group_z;
+    uint num_batches;
     uint k_split;
     uint ne02;
     uint ne12;
@@ -165,7 +167,9 @@ void load_row_ids(uint expert_idx, bool nei0_is_pow2, uint ic) {
         uint id = ids[iter++];
         uvec4 ballot = subgroupBallot(in_range && id == expert_idx);
 
-        ballots_sh[gl_SubgroupID] = ballot;
+        if (gl_SubgroupInvocationID == 0) {
+            ballots_sh[gl_SubgroupID] = ballot;
+        }
         barrier();
 
         uint subgroup_base = 0;
@@ -197,7 +201,7 @@ void main() {
     const uint ic = gl_WorkGroupID.y;
 
 #ifdef MUL_MAT_ID
-    const uint expert_idx = gl_GlobalInvocationID.z;
+    const uint expert_idx = gl_WorkGroupID.z;
     if (ic * BN >= data_expert_count[expert_idx]) {
         return;
     }
@@ -215,7 +219,7 @@ void main() {
 #endif
 
 #ifndef MUL_MAT_ID
-    const uint batch_idx = gl_GlobalInvocationID.z;
+    const uint batch_idx = gl_WorkGroupID.z + p.base_work_group_z;
 
     const uint i13 = batch_idx / p.ne12;
     const uint i12 = batch_idx % p.ne12;
@@ -255,7 +259,7 @@ void main() {
 #else
     uint pos_a = batch_idx_a * (p.batch_stride_a / QUANT_K);
     uint pos_b = batch_idx * p.batch_stride_b;
-    uint pos_d = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
+    uint pos_d = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * p.num_batches;
 #endif
 
     uint stride_a = p.stride_a / QUANT_K;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_id_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_id_funcs.glsl
index 743004ff8ad..26c5c12a49a 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_id_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_id_funcs.glsl
@@ -43,7 +43,9 @@ void load_row_ids(uint expert_idx, bool nei0_is_pow2, uint ic) {
         uint id = ids[iter++];
         uvec4 ballot = subgroupBallot(in_range && id == expert_idx);
 
-        ballots_sh[gl_SubgroupID] = ballot;
+        if (gl_SubgroupInvocationID == 0) {
+            ballots_sh[gl_SubgroupID] = ballot;
+        }
         barrier();
 
         uint subgroup_base = 0;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq.comp
index 335d7f6a682..aae1c2e8ae9 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq.comp
@@ -57,6 +57,8 @@ layout (push_constant) uniform parameter
     uint nbi1;
     uint ne11;
 #else
+    uint base_work_group_z;
+    uint num_batches;
     uint k_split;
     uint ne02;
     uint ne12;
@@ -108,7 +110,7 @@ void main() {
     const uint ic = gl_WorkGroupID.y;
 
 #ifdef MUL_MAT_ID
-    const uint expert_idx = gl_GlobalInvocationID.z;
+    const uint expert_idx = gl_WorkGroupID.z;
     if (ic * BN >= data_expert_count[expert_idx]) {
         return;
     }
@@ -118,7 +120,7 @@ void main() {
 #endif
 
 #ifndef MUL_MAT_ID
-    const uint batch_idx = gl_GlobalInvocationID.z;
+    const uint batch_idx = gl_WorkGroupID.z + p.base_work_group_z;
 
     const uint i13 = batch_idx / p.ne12;
     const uint i12 = batch_idx % p.ne12;
@@ -276,7 +278,7 @@ void main() {
     const uint dc = ic * BN + warp_c * WN;
 
 #ifndef MUL_MAT_ID
-    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
+    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * p.num_batches;
 #endif
 
     [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp
new file mode 100644
index 00000000000..a9c147bf9ac
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp
@@ -0,0 +1,21 @@
+#version 450
+
+#include "generic_head.glsl"
+#include "types.glsl"
+
+#extension GL_EXT_control_flow_attributes : enable
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+    const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
+
+    if (i >= p.KX) {
+        return;
+    }
+
+    data_d[i] = D_TYPE(sign(float(data_a[i])));
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp b/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp
index d62696bcfae..6802b1fc955 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp
@@ -5,8 +5,9 @@
 #include "types.glsl"
 
 layout(constant_id = 0) const uint BLOCK_SIZE = 32;
+layout(constant_id = 1) const uint TOKENS_PER_WG = 16;
 
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z = 1) in;
 
 layout(binding = 0) readonly buffer Src0 { float src0[]; };
 layout(binding = 1) readonly buffer Src1 { float src1[]; };
@@ -20,25 +21,30 @@ layout(push_constant) uniform PushConstants {
 };
 
 void main() {
-    const uint global_thread_id = gl_GlobalInvocationID.x;
-    const uint i2 = gl_WorkGroupID.y;
+    const uint i1 = gl_GlobalInvocationID.x;
+    const uint i2 = gl_WorkGroupID.y * TOKENS_PER_WG + gl_LocalInvocationID.y;
     const uint i3 = gl_WorkGroupID.z;
 
-    if (global_thread_id >= nr || i2 >= n_t || i3 >= n_s) {
+    if (i1 >= nr || i2 >= n_t || i3 >= n_s) {
         return;
     }
 
-    const uint i1 = global_thread_id;
     const uint src0_base = i3 * (nb02 / 4) + i2 + i1 * (nb01 / 4);
     const uint src1_base = i1 * (nb11 / 4);
-    const uint dst_idx = i3 * (dst_nb2 / 4) + i2 * (dst_nb1 / 4) + i1;
 
     float sum = 0.0;
-    [[unroll]] for (uint i0 = 0; i0 < nc; i0++) {
-        const uint src0_idx = src0_base + i0;
-        const uint src1_idx = src1_base + i0;
-        sum += src0[src0_idx] * src1[src1_idx];
+
+    if (nc == 4) {
+        sum = dot(
+            vec4(src0[src0_base], src0[src0_base + 1], src0[src0_base + 2], src0[src0_base + 3]),
+            vec4(src1[src1_base], src1[src1_base + 1], src1[src1_base + 2], src1[src1_base + 3])
+        );
+    } else {
+        [[unroll]] for (uint i0 = 0; i0 < nc; i0++) {
+            sum += src0[src0_base + i0] * src1[src1_base + i0];
+        }
     }
 
+    const uint dst_idx = i3 * (dst_nb2 / 4) + i2 * (dst_nb1 / 4) + i1;
     dst[dst_idx] = sum;
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
index 42ebc21e2a6..4b00ba3debb 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
@@ -595,8 +595,6 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
 }
 
 void process_shaders() {
-    std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
-
     // matmul
     for (const MatMulIdType& matmul_id_type : {MatMulIdType::NONE, MatMulIdType::DEFAULT, MatMulIdType::SUBGROUP}) {
         // No coopmats
@@ -622,49 +620,63 @@ void process_shaders() {
         }
     }
 
-    // flash attention
-    for (const auto& f16acc : {false, true}) {
-        std::map<std::string, std::string> fa_base_dict = base_dict;
-        fa_base_dict["ACC_TYPE"] = f16acc ? "float16_t" : "float";
-        fa_base_dict["ACC_TYPEV4"] = f16acc ? "f16vec4" : "vec4";
-        if (f16acc) {
-            fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
+    for (const bool& fp16 : {false, true}) {
+        std::map<std::string, std::string> base_dict;
+        if (fp16) {
+            base_dict = {{"FLOAT_TYPE", "float16_t"}, {"FLOAT_TYPEV4", "f16vec4"}, {"FLOAT16", "1"}, {"FLOAT_TYPE_MAX", "float16_t(65504.0)"}};
+        } else {
+            base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV4", "vec4"}};
         }
 
-        for (const auto& tname : type_names) {
-            if (tname == "bf16") continue;
+        // flash attention
+        for (const bool& f16acc : {false, true}) {
+            std::map<std::string, std::string> fa_base_dict = base_dict;
+            fa_base_dict["ACC_TYPE"] = fp16 && f16acc ? "float16_t" : "float";
+            fa_base_dict["ACC_TYPEV4"] = fp16 && f16acc ? "f16vec4" : "vec4";
+            if (fp16 && f16acc) {
+                fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
+            }
+
+            for (const auto& tname : type_names) {
+                if (tname == "bf16") continue;
 
+                if (fp16) {
 #if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
-            if (tname == "f16") {
-                string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
-                    merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}}), true, false, true, f16acc);
-            } else {
-                std::string data_a_key = "DATA_A_" + to_uppercase(tname);
-                string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
-                    merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"DEQUANTFUNC", "dequantFunc"+to_uppercase(tname) }, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), true, false, true, f16acc);
-            }
+                if (tname == "f16") {
+                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
+                        merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, true, f16acc);
+                } else {
+                    std::string data_a_key = "DATA_A_" + to_uppercase(tname);
+                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
+                        merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"DEQUANTFUNC", "dequantFunc"+to_uppercase(tname) }, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, true, f16acc);
+                }
 #endif
 #if defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT)
-            if (tname == "f16") {
-                string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
-                    merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"COOPMAT", "1"}}), true, true, false, f16acc);
-            } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
-                std::string data_a_key = "DATA_A_" + to_uppercase(tname);
-                string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
-                    merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), true, true, false, f16acc);
-            }
+                if (tname == "f16") {
+                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
+                        merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
+                } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
+                    std::string data_a_key = "DATA_A_" + to_uppercase(tname);
+                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
+                        merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
+                }
 #endif
-            if (tname == "f16") {
-                string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
-                    merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}}), true, false, false, f16acc);
-            } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
-                std::string data_a_key = "DATA_A_" + to_uppercase(tname);
-                string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
-                    merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), true, false, false, f16acc);
+                }
+
+                if (tname == "f16") {
+                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
+                        merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, false, f16acc);
+                } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
+                    std::string data_a_key = "DATA_A_" + to_uppercase(tname);
+                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
+                        merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, false, f16acc);
+                }
             }
         }
     }
 
+    std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
+
     for (const auto& tname : type_names) {
         // mul mat vec
         std::string data_a_key = "DATA_A_" + to_uppercase(tname);
@@ -855,8 +867,12 @@ void process_shaders() {
     string_to_spv("hardswish_f32",  "hardswish.comp",   {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("abs_f16",        "abs.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("abs_f32",        "abs.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("elu_f16",        "elu.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("elu_f32",        "elu.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("xielu_f16",      "xielu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("xielu_f32",      "xielu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("sgn_f16",        "sgn.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("sgn_f32",        "sgn.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
     string_to_spv("tri_f16",        "tri.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("tri_f32",        "tri.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
@@ -971,6 +987,8 @@ void process_shaders() {
 
     string_to_spv("rwkv_wkv7_f32", "wkv7.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
 
+    string_to_spv("gated_delta_net_f32", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}}));
+
     string_to_spv("opt_step_adamw_f32", "opt_step_adamw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
     string_to_spv("opt_step_sgd_f32", "opt_step_sgd.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
 
diff --git a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
index 63f797f142d..3d7e59fddf3 100644
--- a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
+++ b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
@@ -1,11 +1,16 @@
 #ifndef GGML_WEBGPU_SHADER_LIB_HPP
 #define GGML_WEBGPU_SHADER_LIB_HPP
 
+#include "ggml-wgsl-shaders.hpp"
 #include "ggml.h"
 #include "pre_wgsl.hpp"
 
+#include <webgpu/webgpu_cpp.h>
+
+#include <algorithm>
 #include <memory>
 #include <string>
+#include <unordered_map>
 #include <vector>
 
 #define GGML_WEBGPU_F16_SIZE_BYTES                   2
@@ -18,17 +23,248 @@
 
 #define GGML_WEBGPU_ARGSORT_MERGE_MAX_WG_SIZE 512u
 
-struct ggml_webgpu_processed_shader {
-    std::string           wgsl;
-    std::string           variant;
-    std::shared_ptr<void> decisions;
-};
+// Matrix multiplication parameters
+
+// Register tiling parameters
+#define WEBGPU_MUL_MAT_TILE_M    8
+#define WEBGPU_MUL_MAT_TILE_N    8
+#define WEBGPU_MUL_MAT_WG_SIZE_M 8
+#define WEBGPU_MUL_MAT_WG_SIZE_N 8
+#define WEBGPU_MUL_MAT_TILE_K    32
+
+// Subgroup matrix parameters
+// The number of subgroups in the M dimension
+#define WEBGPU_MUL_MAT_SUBGROUP_M        2
+// The number of subgroups in the N dimension
+#define WEBGPU_MUL_MAT_SUBGROUP_N        2
+// The number of subgroup matrices each subgroup accumulates over
+#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M 4
+#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N 2
+
+// Matrix-vector multiplication parameters
+#define WEBGPU_MUL_MAT_VEC_WG_SIZE 256
+
+// Must be multiple of 4 to work with vectorized paths, and must divide
+// mul_mat_vec wg size
+#define WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG 64
+#define WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K         256
+
+#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG 64
+#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K         256
+
+// Requires 32 threads per output (wg_size/outputs_per_wg == 32)
+#define WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG 8
+// Requires at least two (and multiple of 2) k-quant blocks per tile
+#define WEBGPU_MUL_MAT_VEC_K_Q_TILE_K         512
+
+// default size for legacy matrix multiplication
+#define WEBGPU_MUL_MAT_WG_SIZE 256
 
 // Same hash combine function as in boost
 template <typename T> inline void ggml_webgpu_hash_combine(size_t & seed, const T & value) {
     seed ^= std::hash<T>{}(value) + 0x9e3779b9 + (seed << 6) + (seed >> 2);
 }
 
+struct ggml_webgpu_shader_lib_context {
+    ggml_tensor * src0;
+    ggml_tensor * src1;
+    ggml_tensor * src2;
+    ggml_tensor * src3;
+    ggml_tensor * src4;
+    ggml_tensor * dst;
+
+    uint32_t max_wg_size;
+    size_t   wg_mem_limit_bytes       = 0;
+    bool     inplace                  = false;
+    bool     overlap                  = false;
+    bool     src_overlap              = false;
+    bool     supports_subgroup_matrix = false;
+    uint32_t sg_mat_m                 = 0;
+    uint32_t sg_mat_n                 = 0;
+    uint32_t sg_mat_k                 = 0;
+    uint32_t max_subgroup_size        = 0;
+};
+
+struct webgpu_pipeline {
+    wgpu::ComputePipeline pipeline;
+    std::string           name;
+    std::shared_ptr<void> context = nullptr;
+};
+
+struct ggml_webgpu_generic_shader_decisions {
+    uint32_t wg_size = 0;
+};
+
+/** Argsort **/
+
+struct ggml_webgpu_argsort_shader_lib_context {
+    uint32_t max_wg_size;
+    size_t   wg_mem_limit_bytes;
+    int32_t  order;
+};
+
+/** Set Rows **/
+
+struct ggml_webgpu_set_rows_pipeline_key {
+    int dst_type;
+    int vec4;
+    int i64_idx;
+
+    bool operator==(const ggml_webgpu_set_rows_pipeline_key & other) const {
+        return dst_type == other.dst_type && vec4 == other.vec4 && i64_idx == other.i64_idx;
+    }
+};
+
+struct ggml_webgpu_set_rows_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_set_rows_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.dst_type);
+        ggml_webgpu_hash_combine(seed, key.vec4);
+        ggml_webgpu_hash_combine(seed, key.i64_idx);
+        return seed;
+    }
+};
+
+struct ggml_webgpu_set_rows_shader_decisions {
+    bool     vec4;
+    bool     i64_idx;
+    uint32_t wg_size;
+};
+
+/** Get Rows **/
+
+struct ggml_webgpu_get_rows_pipeline_key {
+    ggml_type src_type;
+    int       vectorized;
+
+    bool operator==(const ggml_webgpu_get_rows_pipeline_key & other) const {
+        return src_type == other.src_type && vectorized == other.vectorized;
+    }
+};
+
+struct ggml_webgpu_get_rows_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_get_rows_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.src_type);
+        ggml_webgpu_hash_combine(seed, key.vectorized);
+        return seed;
+    }
+};
+
+/** Pad **/
+struct ggml_webgpu_pad_pipeline_key {
+    bool circular;
+
+    bool operator==(const ggml_webgpu_pad_pipeline_key & other) const { return circular == other.circular; }
+};
+
+struct ggml_webgpu_pad_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_pad_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.circular);
+        return seed;
+    }
+};
+
+/** Scale **/
+
+struct ggml_webgpu_scale_pipeline_key {
+    int inplace;
+
+    bool operator==(const ggml_webgpu_scale_pipeline_key & other) const { return inplace == other.inplace; }
+};
+
+struct ggml_webgpu_scale_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_scale_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        return seed;
+    }
+};
+
+/** Concat **/
+
+struct ggml_webgpu_concat_pipeline_key {
+    int type;
+
+    bool operator==(const ggml_webgpu_concat_pipeline_key & other) const { return type == other.type; }
+};
+
+struct ggml_webgpu_concat_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_concat_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        return seed;
+    }
+};
+
+/** Repeat **/
+
+struct ggml_webgpu_repeat_pipeline_key {
+    int type;
+
+    bool operator==(const ggml_webgpu_repeat_pipeline_key & other) const { return type == other.type; }
+};
+
+struct ggml_webgpu_repeat_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_repeat_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        return seed;
+    }
+};
+
+/** Binary **/
+
+struct ggml_webgpu_binary_pipeline_key {
+    int  type;
+    int  op;
+    bool inplace;
+    bool overlap;
+    bool src_overlap;
+
+    bool operator==(const ggml_webgpu_binary_pipeline_key & other) const {
+        return type == other.type && op == other.op && inplace == other.inplace && overlap == other.overlap &&
+               src_overlap == other.src_overlap;
+    }
+};
+
+struct ggml_webgpu_binary_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_binary_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.op);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        ggml_webgpu_hash_combine(seed, key.overlap);
+        ggml_webgpu_hash_combine(seed, key.src_overlap);
+        return seed;
+    }
+};
+
+/** Unary **/
+
+struct ggml_webgpu_unary_pipeline_key {
+    int  type;
+    int  op;
+    bool is_unary;  // many unary operators fall under the GGML_OP_UNARY umbrella
+    bool inplace;
+
+    bool operator==(const ggml_webgpu_unary_pipeline_key & other) const {
+        return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace;
+    }
+};
+
+struct ggml_webgpu_unary_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_unary_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.op);
+        ggml_webgpu_hash_combine(seed, key.is_unary);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        return seed;
+    }
+};
+
 /** FlashAttention */
 
 struct ggml_webgpu_flash_attn_pipeline_key {
@@ -100,439 +336,1039 @@ inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile,
     return f16_elems * GGML_WEBGPU_F16_SIZE_BYTES + f32_elems * GGML_WEBGPU_F32_SIZE_BYTES;
 }
 
-static uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_flash_attn_shader_lib_context & context) {
-    const size_t limit_bytes = context.wg_mem_limit_bytes;
-    const size_t q_tile      = context.sg_mat_m;
-    const size_t base_q_bytes =
-        (context.key.head_dim_qk + context.key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
-        2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
-    size_t bytes_per_kv = 0;
-    if (!context.key.kv_direct) {
-        bytes_per_kv += std::max(context.key.head_dim_qk, context.key.head_dim_v);
-    }
-    if (context.key.has_mask) {
-        bytes_per_kv += q_tile;
-    }
-    bytes_per_kv += q_tile;
-    bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
-    const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv;
-    return (max_kv_tile / context.sg_mat_n) * context.sg_mat_n;
-}
+/** Matrix Multiplication **/
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_shader(
-    pre_wgsl::Preprocessor &                          preprocessor,
-    const char *                                      shader_src,
-    const ggml_webgpu_flash_attn_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "flash_attn";
-
-    switch (context.key.kv_type) {
-        case GGML_TYPE_F32:
-            defines.push_back("KV_F32");
-            break;
-        case GGML_TYPE_F16:
-            defines.push_back("KV_F16");
-            break;
-        case GGML_TYPE_Q4_0:
-            defines.push_back("KV_Q4_0");
-            break;
-        case GGML_TYPE_Q8_0:
-            defines.push_back("KV_Q8_0");
-            break;
-        default:
-            GGML_ABORT("Unsupported KV type for flash attention shader");
-    }
-    variant += std::string("_") + ggml_type_name(context.key.kv_type);
-
-    if (context.key.has_mask) {
-        defines.push_back("MASK");
-        variant += "_mask";
-    }
-    if (context.key.has_sinks) {
-        defines.push_back("SINKS");
-        variant += "_sinks";
-    }
-    if (context.key.uses_logit_softcap) {
-        defines.push_back("LOGIT_SOFTCAP");
-        variant += "_lgsc";
-    }
-
-    if (context.key.kv_direct) {
-        defines.push_back("KV_DIRECT");
-        variant += "_kvdirect";
-    }
-
-    defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(context.key.head_dim_qk));
-    variant += std::string("_hsqk") + std::to_string(context.key.head_dim_qk);
-
-    defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(context.key.head_dim_v));
-    variant += std::string("_hsv") + std::to_string(context.key.head_dim_v);
-    // For now these are not part of the variant name
-    defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m));
-    defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n));
-    defines.push_back(std::string("SG_MAT_K=") + std::to_string(context.sg_mat_k));
-
-    // Add chosen Q/KV tile sizes
-    uint32_t q_tile  = context.sg_mat_m;
-    uint32_t kv_tile = std::min(ggml_webgpu_flash_attn_max_kv_tile(context),
-                                context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES);
-    if (context.key.kv_direct) {
-        GGML_ASSERT(kv_tile <= GGML_WEBGPU_KV_SEQ_PAD);
-        // Avoids having to use bounds-checks and decreasing performance for direct KV loads
-        while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) {
-            kv_tile -= context.sg_mat_n;
-        }
-    }
-
-    defines.push_back(std::string("Q_TILE=") + std::to_string(q_tile));
-    defines.push_back(std::string("KV_TILE=") + std::to_string(kv_tile));
-
-    // workgroup size
-    uint32_t wg_size = std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE);
-
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_flash_attn_shader_decisions>();
-    decisions->q_tile  = q_tile;
-    decisions->kv_tile = kv_tile;
-    decisions->wg_size = wg_size;
-    result.decisions   = decisions;
-    return result;
-}
-
-/** Generic **/
+struct ggml_webgpu_legacy_mul_mat_pipeline_key {
+    ggml_type src0_type;
+    ggml_type src1_type;
 
-struct ggml_webgpu_generic_shader_lib_context {
-    int      vec4;
-    uint32_t max_wg_size;
+    bool operator==(const ggml_webgpu_legacy_mul_mat_pipeline_key & other) const {
+        return src0_type == other.src0_type && src1_type == other.src1_type;
+    }
 };
 
-struct ggml_webgpu_generic_shader_decisions {
-    uint32_t wg_size;
+struct ggml_webgpu_legacy_mul_mat_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_legacy_mul_mat_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.src0_type);
+        ggml_webgpu_hash_combine(seed, key.src1_type);
+        return seed;
+    }
 };
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_generic_shader(
-    pre_wgsl::Preprocessor &                       preprocessor,
-    const char *                                   shader_src,
-    const ggml_webgpu_generic_shader_lib_context & context,
-    const std::string &                            base_variant) {
-    std::vector<std::string> defines;
-    std::string              variant = base_variant;
+struct ggml_webgpu_mul_mat_vec_pipeline_key {
+    ggml_type src0_type;
+    ggml_type src1_type;
+    int       vectorized;
 
-    if (context.vec4) {
-        defines.push_back("VEC4");
-        variant += "_vec";
+    bool operator==(const ggml_webgpu_mul_mat_vec_pipeline_key & other) const {
+        return src0_type == other.src0_type && src1_type == other.src1_type && vectorized == other.vectorized;
     }
+};
 
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
-
-    ggml_webgpu_processed_shader result;
-    result.wgsl    = preprocessor.preprocess(shader_src, defines);
-    result.variant = variant;
-    return result;
-}
+struct ggml_webgpu_mul_mat_vec_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_mul_mat_vec_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.src0_type);
+        ggml_webgpu_hash_combine(seed, key.src1_type);
+        ggml_webgpu_hash_combine(seed, key.vectorized);
+        return seed;
+    }
+};
 
-/** Pad **/
+struct ggml_webgpu_mul_mat_vec_shader_decisions {
+    uint32_t wg_size;
+    uint32_t tile_k;
+    uint32_t outputs_per_wg;
+    uint32_t vec_size;
+};
 
-struct ggml_webgpu_pad_pipeline_key {
-    bool circular;
+struct ggml_webgpu_mul_mat_pipeline_key {
+    ggml_type src0_type;
+    ggml_type src1_type;
+    int       vectorized;
+    int       use_subgroup_matrix;
 
-    bool operator==(const ggml_webgpu_pad_pipeline_key & other) const { return circular == other.circular; }
+    bool operator==(const ggml_webgpu_mul_mat_pipeline_key & other) const {
+        return src0_type == other.src0_type && src1_type == other.src1_type && vectorized == other.vectorized &&
+               use_subgroup_matrix == other.use_subgroup_matrix;
+    }
 };
 
-struct ggml_webgpu_pad_pipeline_key_hash {
-    size_t operator()(const ggml_webgpu_pad_pipeline_key & key) const {
+struct ggml_webgpu_mul_mat_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_mul_mat_pipeline_key & key) const {
         size_t seed = 0;
-        ggml_webgpu_hash_combine(seed, key.circular);
+        ggml_webgpu_hash_combine(seed, key.src0_type);
+        ggml_webgpu_hash_combine(seed, key.src1_type);
+        ggml_webgpu_hash_combine(seed, key.vectorized);
+        ggml_webgpu_hash_combine(seed, key.use_subgroup_matrix);
         return seed;
     }
 };
 
-struct ggml_webgpu_pad_shader_lib_context {
-    ggml_webgpu_pad_pipeline_key key;
-    uint32_t                     max_wg_size;
+struct ggml_webgpu_mul_mat_shader_decisions {
+    uint32_t tile_k;
+    uint32_t wg_size_m;
+    uint32_t wg_size_n;
+    uint32_t wg_size;
+    uint32_t outputs_per_wg;
+    int      use_subgroup_matrix;
+
+    uint32_t tile_m;
+    uint32_t tile_n;
+
+    // Subgroup matrix parameters
+    uint32_t subgroup_m;
+    uint32_t subgroup_n;
+    uint32_t subgroup_matrix_m;
+    uint32_t subgroup_matrix_n;
+
+    uint32_t mul_mat_wg_size;
 };
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_pad_shader(
-    pre_wgsl::Preprocessor &                   preprocessor,
-    const char *                               shader_src,
-    const ggml_webgpu_pad_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "pad";
+class ggml_webgpu_shader_lib {
+    wgpu::Device           device;
+    pre_wgsl::Preprocessor preprocessor;
+
+    std::unordered_map<int, webgpu_pipeline> sum_rows_pipelines;       // key is fixed, no variants yet
+    std::unordered_map<int, webgpu_pipeline> argmax_pipelines;         // key is vec4
+    std::unordered_map<int, webgpu_pipeline> argsort_pipelines;        // key is order
+    std::unordered_map<int, webgpu_pipeline> argsort_merge_pipelines;  // key is order
+    std::unordered_map<int, webgpu_pipeline> cumsum_pipelines;         // key is fixed, no variants yet
+    std::unordered_map<ggml_webgpu_get_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_get_rows_pipeline_key_hash>
+        get_rows_pipelines;                                            // src_type, vectorized
+    std::unordered_map<ggml_webgpu_unary_pipeline_key, webgpu_pipeline, ggml_webgpu_unary_pipeline_key_hash>
+        unary_pipelines;                                               // type/op/inplace
+    std::unordered_map<ggml_webgpu_scale_pipeline_key, webgpu_pipeline, ggml_webgpu_scale_pipeline_key_hash>
+        scale_pipelines;                                               // inplace
+    std::unordered_map<ggml_webgpu_pad_pipeline_key, webgpu_pipeline, ggml_webgpu_pad_pipeline_key_hash>
+        pad_pipelines;                                                 // circular/non-circular
+    std::unordered_map<ggml_webgpu_binary_pipeline_key, webgpu_pipeline, ggml_webgpu_binary_pipeline_key_hash>
+        binary_pipelines;                                              // type/op/inplace/overlap
+    std::unordered_map<ggml_webgpu_concat_pipeline_key, webgpu_pipeline, ggml_webgpu_concat_pipeline_key_hash>
+        concat_pipelines;                                              // type
+    std::unordered_map<ggml_webgpu_repeat_pipeline_key, webgpu_pipeline, ggml_webgpu_repeat_pipeline_key_hash>
+        repeat_pipelines;                                              // type
+    std::unordered_map<ggml_webgpu_flash_attn_pipeline_key, webgpu_pipeline, ggml_webgpu_flash_attn_pipeline_key_hash>
+        flash_attn_pipelines;
+    std::unordered_map<ggml_webgpu_legacy_mul_mat_pipeline_key,
+                       webgpu_pipeline,
+                       ggml_webgpu_legacy_mul_mat_pipeline_key_hash>
+        mul_mat_legacy_pipelines;  // legacy mul_mat (non-subgroup/non-regtile/non-vec)
+    std::unordered_map<ggml_webgpu_mul_mat_vec_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_vec_pipeline_key_hash>
+        mul_mat_vec_pipelines;     // fast mat-vec (n==1)
+    std::unordered_map<ggml_webgpu_mul_mat_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_pipeline_key_hash>
+        mul_mat_fast_pipelines;    // fast mat-mat (reg-tile or subgroup)
+
+    std::unordered_map<ggml_webgpu_set_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_set_rows_pipeline_key_hash>
+        set_rows_pipelines;
+
+  public:
+    ggml_webgpu_shader_lib(wgpu::Device device) { this->device = device; }
+
+    webgpu_pipeline get_sum_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        auto it = sum_rows_pipelines.find(1);
+        if (it != sum_rows_pipelines.end()) {
+            return it->second;
+        }
+        std::vector<std::string> defines;
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
 
-    if (context.key.circular) {
-        defines.push_back("CIRCULAR");
-        variant += "_circular";
+        auto processed        = preprocessor.preprocess(wgsl_sum_rows, defines);
+        sum_rows_pipelines[1] = ggml_webgpu_create_pipeline(device, processed, "sum_rows");
+        return sum_rows_pipelines[1];
     }
 
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+    webgpu_pipeline get_argmax_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        bool vec4 = context.src0->ne[0] % 4 == 0;
 
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
-    decisions->wg_size = context.max_wg_size;
-    result.decisions   = decisions;
-    return result;
-}
+        auto it = argmax_pipelines.find(vec4);
+        if (it != argmax_pipelines.end()) {
+            return it->second;
+        }
+        std::string              variant = "argmax";
+        std::vector<std::string> defines;
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+        if (vec4) {
+            defines.push_back("VEC4");
+            variant += "_vec4";
+        }
 
-/** Argsort **/
+        auto processed         = preprocessor.preprocess(wgsl_argmax, defines);
+        argmax_pipelines[vec4] = ggml_webgpu_create_pipeline(device, processed, variant);
+        return argmax_pipelines.at(vec4);
+    }
 
-struct ggml_webgpu_argsort_shader_lib_context {
-    uint32_t max_wg_size;
-    size_t   wg_mem_limit_bytes;
-    int32_t  order;
-};
+    webgpu_pipeline get_set_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_set_rows_pipeline_key key = { .dst_type = context.dst->type,
+                                                  .vec4     = context.src0->ne[0] % 4 == 0,
+                                                  .i64_idx  = context.src1->type == GGML_TYPE_I64 };
 
-struct ggml_webgpu_argsort_shader_decisions {
-    uint32_t wg_size = 0;
-};
+        auto it = set_rows_pipelines.find(key);
+        if (it != set_rows_pipelines.end()) {
+            return it->second;
+        }
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_argsort_shader(
-    pre_wgsl::Preprocessor &                       preprocessor,
-    const char *                                   shader_src,
-    const ggml_webgpu_argsort_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "argsort";
-    defines.push_back(std::string("ORDER=") + std::to_string(context.order));
-    variant += std::string("_order") + std::to_string(context.order);
-    uint32_t wg_size = 1;
-    while (wg_size * 2 <= context.max_wg_size &&
-           wg_size * GGML_WEBGPU_I32_SIZE_BYTES <= context.wg_mem_limit_bytes / 2) {
-        wg_size *= 2;
-    }
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_argsort_shader_decisions>();
-    decisions->wg_size = wg_size;
-    result.decisions   = decisions;
-    return result;
-}
+        std::vector<std::string> defines;
+        std::string              variant = "set_rows";
+
+        switch (context.dst->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("DST_F32");
+                variant += "_dstf32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("DST_F16");
+                variant += "_dstf16";
+                break;
+            default:
+                GGML_ABORT("Unsupported dst type for set_rows shader");
+        }
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_argsort_merge_shader(
-    pre_wgsl::Preprocessor &                       preprocessor,
-    const char *                                   shader_src,
-    const ggml_webgpu_argsort_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "argsort_merge";
-    defines.push_back(std::string("ORDER=") + std::to_string(context.order));
-    variant += std::string("_order") + std::to_string(context.order);
-    uint32_t wg_size = std::min(GGML_WEBGPU_ARGSORT_MERGE_MAX_WG_SIZE, context.max_wg_size);
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_argsort_shader_decisions>();
-    decisions->wg_size = wg_size;
-    result.decisions   = decisions;
-    return result;
-}
+        if (key.vec4) {
+            defines.push_back("VEC4");
+            variant += "_vec4";
+        }
+        if (key.i64_idx) {
+            defines.push_back("I64_IDX");
+            variant += "_i64idx";
+        }
 
-/** Set Rows **/
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
 
-struct ggml_webgpu_set_rows_pipeline_key {
-    int dst_type;
-    int vec4;
-    int i64_idx;
+        auto processed                  = preprocessor.preprocess(wgsl_set_rows, defines);
+        auto decisions                  = std::make_shared<ggml_webgpu_set_rows_shader_decisions>();
+        decisions->vec4                 = key.vec4;
+        decisions->i64_idx              = key.i64_idx;
+        decisions->wg_size              = context.max_wg_size;
+        set_rows_pipelines[key]         = ggml_webgpu_create_pipeline(device, processed, variant);
+        set_rows_pipelines[key].context = decisions;
+        return set_rows_pipelines[key];
+    }
 
-    bool operator==(const ggml_webgpu_set_rows_pipeline_key & other) const {
-        return dst_type == other.dst_type && vec4 == other.vec4 && i64_idx == other.i64_idx;
+    webgpu_pipeline get_cumsum_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        auto it = cumsum_pipelines.find(1);
+        if (it != cumsum_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed      = preprocessor.preprocess(wgsl_cumsum, defines);
+        cumsum_pipelines[1] = ggml_webgpu_create_pipeline(device, processed, "cumsum");
+        return cumsum_pipelines[1];
     }
-};
 
-struct ggml_webgpu_set_rows_pipeline_key_hash {
-    size_t operator()(const ggml_webgpu_set_rows_pipeline_key & key) const {
-        size_t seed = 0;
-        ggml_webgpu_hash_combine(seed, key.dst_type);
-        ggml_webgpu_hash_combine(seed, key.vec4);
-        ggml_webgpu_hash_combine(seed, key.i64_idx);
-        return seed;
+    webgpu_pipeline get_argsort_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        bool          is_top_k = context.dst->op == GGML_OP_TOP_K;
+        // ascending order is 0, descending order is 1
+        const int32_t order =
+            is_top_k ? (int32_t) GGML_SORT_ORDER_DESC : (int32_t) ggml_get_op_params_i32(context.dst, 0);
+
+        auto it = argsort_pipelines.find(order);
+        if (it != argsort_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "argsort";
+        defines.push_back(std::string("ORDER=") + std::to_string(order));
+        variant += std::string("_order") + std::to_string(order);
+        uint32_t wg_size = 1;
+        while (wg_size * 2 <= context.max_wg_size &&
+               wg_size * GGML_WEBGPU_I32_SIZE_BYTES <= context.wg_mem_limit_bytes / 2) {
+            wg_size *= 2;
+        }
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        auto processed                   = preprocessor.preprocess(wgsl_argsort, defines);
+        auto decisions                   = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size               = wg_size;
+        argsort_pipelines[order]         = ggml_webgpu_create_pipeline(device, processed, variant);
+        argsort_pipelines[order].context = decisions;
+        return argsort_pipelines[order];
     }
-};
 
-struct ggml_webgpu_set_rows_shader_lib_context {
-    ggml_webgpu_set_rows_pipeline_key key;
-    uint32_t                          max_wg_size;
-};
+    webgpu_pipeline get_argsort_merge_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        bool          is_top_k = context.dst->op == GGML_OP_TOP_K;
+        // ascending order is 0, descending order is 1
+        const int32_t order =
+            is_top_k ? (int32_t) GGML_SORT_ORDER_DESC : (int32_t) ggml_get_op_params_i32(context.dst, 0);
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_set_rows_shader(
-    pre_wgsl::Preprocessor &                        preprocessor,
-    const char *                                    shader_src,
-    const ggml_webgpu_set_rows_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "set_rows";
+        auto it = argsort_merge_pipelines.find(order);
+        if (it != argsort_merge_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "argsort_merge";
+        defines.push_back(std::string("ORDER=") + std::to_string(order));
+        variant += std::string("_order") + std::to_string(order);
+        uint32_t wg_size = std::min(GGML_WEBGPU_ARGSORT_MERGE_MAX_WG_SIZE, context.max_wg_size);
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
 
-    switch (context.key.dst_type) {
-        case GGML_TYPE_F32:
-            defines.push_back("DST_F32");
-            variant += "_dstf32";
-            break;
-        case GGML_TYPE_F16:
-            defines.push_back("DST_F16");
-            variant += "_dstf16";
-            break;
-        default:
-            GGML_ABORT("Unsupported dst type for set_rows shader");
+        auto processed                 = preprocessor.preprocess(wgsl_argsort_merge, defines);
+        argsort_merge_pipelines[order] = ggml_webgpu_create_pipeline(device, processed, variant);
+        return argsort_merge_pipelines[order];
     }
 
-    if (context.key.vec4) {
-        defines.push_back("VEC4");
-        variant += "_vec";
+    webgpu_pipeline get_get_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        const bool vectorized                 = context.src0->type == GGML_TYPE_F32 && context.dst->ne[0] % 4 == 0;
+        ggml_webgpu_get_rows_pipeline_key key = {
+            .src_type   = context.src0->type,
+            .vectorized = (int) vectorized,
+        };
+
+        auto it = get_rows_pipelines.find(key);
+        if (it != get_rows_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "get_rows";
+
+        const struct ggml_type_traits * type_traits = ggml_get_type_traits(key.src_type);
+        const char *                    type_str    = type_traits->type_name;
+
+        switch (key.src_type) {
+            case GGML_TYPE_F32:
+                if (key.vectorized) {
+                    defines.push_back("F32_VEC");
+                    defines.push_back("SRC_TYPE=vec4<f32>");
+                    defines.push_back("DST_TYPE=vec4<f32>");
+                    defines.push_back("BLOCK_SIZE=4u");
+                } else {
+                    defines.push_back("F32");
+                    defines.push_back("SRC_TYPE=f32");
+                    defines.push_back("DST_TYPE=f32");
+                    defines.push_back("BLOCK_SIZE=1u");
+                }
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("F16");
+                defines.push_back("SRC_TYPE=f16");
+                defines.push_back("DST_TYPE=f32");
+                defines.push_back("BLOCK_SIZE=1u");
+                variant += "_f16";
+                break;
+            case GGML_TYPE_I32:
+                defines.push_back("I32");
+                defines.push_back("SRC_TYPE=i32");
+                defines.push_back("DST_TYPE=i32");
+                defines.push_back("BLOCK_SIZE=1u");
+                variant += "_i32";
+                break;
+            default:
+                {
+                    std::string type_upper = type_str;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back(type_upper + "_T");
+                    defines.push_back(type_upper);
+                    defines.push_back(type_upper + "_SCALE_MIN");
+                    defines.push_back(type_upper + "_TABLES");
+                    defines.push_back(type_upper + "_GRID");
+
+                    variant += "_";
+                    variant += type_str;
+
+                    defines.push_back(std::string("SRC_TYPE=") + type_str);
+                    defines.push_back("DST_TYPE=f32");
+
+                    if ((key.src_type >= GGML_TYPE_Q4_0 && key.src_type <= GGML_TYPE_Q8_1) ||
+                        key.src_type == GGML_TYPE_IQ4_NL) {
+                        defines.push_back("BLOCK_SIZE=32u");
+                    } else if (key.src_type >= GGML_TYPE_Q2_K) {
+                        defines.push_back("BLOCK_SIZE=256u");
+                    } else {
+                        defines.push_back("BLOCK_SIZE=1u");
+                    }
+                    break;
+                }
+        }
+
+        if (key.vectorized) {
+            variant += "_vec";
+        }
+
+        defines.push_back("WG_SIZE=" + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_get_rows, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        get_rows_pipelines[key]  = pipeline;
+        return get_rows_pipelines[key];
     }
-    if (context.key.i64_idx) {
-        defines.push_back("I64_IDX");
-        variant += "_i64idx";
+
+    webgpu_pipeline get_scale_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_scale_pipeline_key key = { .inplace = context.inplace };
+
+        auto it = scale_pipelines.find(key);
+        if (it != scale_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "scale";
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_scale, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        scale_pipelines[key]     = pipeline;
+        return scale_pipelines[key];
     }
 
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+    webgpu_pipeline get_pad_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_pad_pipeline_key key = { .circular = ggml_get_op_params_i32(context.dst, 8) != 0 };
 
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
-    decisions->wg_size = context.max_wg_size;
-    result.decisions   = decisions;
-    return result;
-}
+        auto it = pad_pipelines.find(key);
+        if (it != pad_pipelines.end()) {
+            return it->second;
+        }
 
-struct ggml_webgpu_unary_pipeline_key {
-    int  type;
-    int  op;
-    bool is_unary;  // many unary operators fall under the GGML_OP_UNARY umbrella
-    bool inplace;
+        std::vector<std::string> defines;
+        std::string              variant = "pad";
 
-    bool operator==(const ggml_webgpu_unary_pipeline_key & other) const {
-        return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace;
+        if (key.circular) {
+            defines.push_back("CIRCULAR");
+            variant += "_circular";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_pad, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        pad_pipelines[key]       = pipeline;
+        return pad_pipelines[key];
     }
-};
 
-struct ggml_webgpu_unary_pipeline_key_hash {
-    size_t operator()(const ggml_webgpu_unary_pipeline_key & key) const {
-        size_t seed = 0;
-        ggml_webgpu_hash_combine(seed, key.type);
-        ggml_webgpu_hash_combine(seed, key.op);
-        ggml_webgpu_hash_combine(seed, key.is_unary);
-        ggml_webgpu_hash_combine(seed, key.inplace);
-        return seed;
+    webgpu_pipeline get_mul_mat_vec_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_mul_mat_vec_pipeline_key key = {
+            .src0_type  = context.src0->type,
+            .src1_type  = context.src1->type,
+            // Quantized mat-vec path currently runs scalar; only allow vectorization when both inputs are float
+            .vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 &&
+                           (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                              1 :
+                              0,
+        };
+
+        auto it = mul_mat_vec_pipelines.find(key);
+        if (it != mul_mat_vec_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "mul_mat_vec";
+
+        // src0 type (matrix row)
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_INNER_TYPE=f32");
+                defines.push_back("MUL_ACC_FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_INNER_TYPE=f16");
+                defines.push_back("MUL_ACC_FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
+                    // Quantized types: use helpers but accumulate in f16
+                    const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
+                    std::string                     src0_name   = src0_traits->type_name;
+                    std::string                     type_upper  = src0_name;
+                    variant += "_" + src0_name;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back("MUL_ACC_" + type_upper);
+
+                    // For fast path we always dequantize from f16 inside the shader
+                    defines.push_back("SRC0_INNER_TYPE=f16");
+                    break;
+                }
+        }
+
+        // src1 type (vector)
+        switch (context.src1->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC1_INNER_TYPE=f32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC1_INNER_TYPE=f16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported src1 type for mul_mat_vec shader");
+        }
+
+        // VEC/SCALAR controls
+        defines.push_back(key.vectorized ? "VEC" : "SCALAR");
+
+        uint32_t wg_size        = WEBGPU_MUL_MAT_VEC_WG_SIZE;
+        uint32_t tile_k         = WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K;
+        uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG;
+
+        if (key.src0_type >= GGML_TYPE_Q2_K) {
+            tile_k         = WEBGPU_MUL_MAT_VEC_K_Q_TILE_K;
+            outputs_per_wg = WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG;
+        } else if (key.src0_type >= GGML_TYPE_Q4_0) {
+            tile_k         = WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K;
+            outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG;
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        defines.push_back(std::string("TILE_K=") + std::to_string(tile_k));
+        defines.push_back(std::string("OUTPUTS_PER_WG=") + std::to_string(outputs_per_wg));
+
+        auto processed            = preprocessor.preprocess(wgsl_mul_mat_vec, defines);
+        auto decisions            = std::make_shared<ggml_webgpu_mul_mat_vec_shader_decisions>();
+        decisions->wg_size        = wg_size;
+        decisions->tile_k         = tile_k;
+        decisions->outputs_per_wg = outputs_per_wg;
+        decisions->vec_size       = key.vectorized ? 4 : 1;
+
+        webgpu_pipeline pipeline   = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context           = decisions;
+        mul_mat_vec_pipelines[key] = pipeline;
+        return mul_mat_vec_pipelines[key];
     }
-};
 
-struct ggml_webgpu_unary_shader_lib_context {
-    ggml_webgpu_unary_pipeline_key key;
-    uint32_t                       max_wg_size;
-};
+    webgpu_pipeline get_mul_mat_fast_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_mul_mat_pipeline_key key = {
+            .src0_type  = context.src0->type,
+            .src1_type  = context.src1->type,
+            .vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 && context.dst->ne[1] % 4 == 0 &&
+                           (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                              1 :
+                              0,
+            .use_subgroup_matrix = context.supports_subgroup_matrix
+        };
+
+        auto it = mul_mat_fast_pipelines.find(key);
+        if (it != mul_mat_fast_pipelines.end()) {
+            return it->second;
+        }
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_unary_shader(
-    pre_wgsl::Preprocessor &                     preprocessor,
-    const char *                                 shader_src,
-    const ggml_webgpu_unary_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = context.key.is_unary ? ggml_unary_op_name((ggml_unary_op) context.key.op) :
-                                                              ggml_op_name((ggml_op) context.key.op);
-    // Operation-specific behavior
-    defines.push_back(variant);
+        const char * shader_src = key.use_subgroup_matrix ? wgsl_mul_mat_subgroup_matrix : wgsl_mul_mat_reg_tile;
+        std::vector<std::string> defines;
+        std::string              variant = key.use_subgroup_matrix ? "mul_mat_subgroup_matrix" : "mul_mat_reg_tile";
+
+        // src1 type
+        switch (context.src1->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC1_INNER_TYPE=f32");
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC1_INNER_TYPE=f16");
+                break;
+            default:
+                GGML_ABORT("Unsupported src1 type for mul_mat fast shader");
+        }
+
+        // src0 type
+        const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
+        const char *                    src0_name   = src0_traits->type_name;
+
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_INNER_TYPE=f32");
+                defines.push_back("FLOAT");
+                defines.push_back("MUL_ACC_FLOAT");
+                defines.push_back("INIT_SRC0_SHMEM_FLOAT");
+                defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_INNER_TYPE=f16");
+                defines.push_back("FLOAT");
+                defines.push_back("MUL_ACC_FLOAT");
+                defines.push_back("INIT_SRC0_SHMEM_FLOAT");
+                defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
+                    std::string type_upper = src0_name;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back("MUL_ACC_" + type_upper);
+                    defines.push_back("INIT_SRC0_SHMEM_" + type_upper);
+                    defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+
+                    // Use f16 inside the shader for quantized types
+                    defines.push_back("SRC0_INNER_TYPE=f16");
+
+                    variant += std::string("_") + src0_name;
+                    break;
+                }
+        }
 
-    switch (context.key.type) {
-        case GGML_TYPE_F32:
-            defines.push_back("TYPE_F32");
-            variant += "_f32";
-            break;
-        case GGML_TYPE_F16:
-            defines.push_back("TYPE_F16");
-            variant += "_f16";
-            break;
-        default:
-            GGML_ABORT("Unsupported type for unary shader");
+        // VEC/SCALAR controls
+        defines.push_back(key.vectorized ? "VEC" : "SCALAR");
+
+        // Tiles
+        defines.push_back("TILE_M=" + std::to_string(WEBGPU_MUL_MAT_TILE_M) + "u");
+        defines.push_back("TILE_N=" + std::to_string(WEBGPU_MUL_MAT_TILE_N) + "u");
+        defines.push_back("TILE_K=" + std::to_string(WEBGPU_MUL_MAT_TILE_K) + "u");
+
+        // Subgroup matrix specifics
+        if (key.use_subgroup_matrix) {
+            defines.push_back("MAX_SUBGROUP_SIZE=" + std::to_string(context.max_subgroup_size) + "u");
+            defines.push_back("SUBGROUP_M=" + std::to_string(WEBGPU_MUL_MAT_SUBGROUP_M) + "u");
+            defines.push_back("SUBGROUP_N=" + std::to_string(WEBGPU_MUL_MAT_SUBGROUP_N) + "u");
+            defines.push_back("SUBGROUP_MATRIX_M=" + std::to_string(WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M) + "u");
+            defines.push_back("SUBGROUP_MATRIX_N=" + std::to_string(WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N) + "u");
+            defines.push_back("SUBGROUP_MATRIX_M_SIZE=" + std::to_string(context.sg_mat_m) + "u");
+            defines.push_back("SUBGROUP_MATRIX_N_SIZE=" + std::to_string(context.sg_mat_n) + "u");
+            defines.push_back("SUBGROUP_MATRIX_K_SIZE=" + std::to_string(context.sg_mat_k) + "u");
+        }
+
+        // variant suffix for src1 type
+        variant += std::string("_") + (context.src1->type == GGML_TYPE_F32 ? "f32" : "f16");
+        if (key.vectorized) {
+            variant += "_vectorized";
+        }
+
+        if (!key.use_subgroup_matrix) {
+            defines.push_back("WORKGROUP_SIZE_M=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_M) + "u");
+            defines.push_back("WORKGROUP_SIZE_N=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_N) + "u");
+        }
+
+        auto processed = preprocessor.preprocess(shader_src, defines);
+
+        auto decisions                 = std::make_shared<ggml_webgpu_mul_mat_shader_decisions>();
+        decisions->tile_k              = WEBGPU_MUL_MAT_TILE_K;
+        decisions->tile_m              = WEBGPU_MUL_MAT_TILE_M;
+        decisions->tile_n              = WEBGPU_MUL_MAT_TILE_N;
+        decisions->use_subgroup_matrix = key.use_subgroup_matrix;
+        if (key.use_subgroup_matrix) {
+            decisions->subgroup_m        = WEBGPU_MUL_MAT_SUBGROUP_M;
+            decisions->subgroup_n        = WEBGPU_MUL_MAT_SUBGROUP_N;
+            decisions->subgroup_matrix_m = WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M;
+            decisions->subgroup_matrix_n = WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N;
+            decisions->wg_size           = context.max_subgroup_size;
+        } else {
+            decisions->wg_size_m       = WEBGPU_MUL_MAT_WG_SIZE_M;
+            decisions->wg_size_n       = WEBGPU_MUL_MAT_WG_SIZE_N;
+            decisions->wg_size         = WEBGPU_MUL_MAT_WG_SIZE_M * WEBGPU_MUL_MAT_WG_SIZE_N;
+            decisions->mul_mat_wg_size = WEBGPU_MUL_MAT_WG_SIZE;
+        }
+
+        webgpu_pipeline pipeline    = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context            = decisions;
+        mul_mat_fast_pipelines[key] = pipeline;
+        return mul_mat_fast_pipelines[key];
     }
 
-    if (context.key.inplace) {
-        defines.push_back("INPLACE");
-        variant += "_inplace";
+    webgpu_pipeline get_mul_mat_legacy_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_legacy_mul_mat_pipeline_key key = { .src0_type = context.src0->type,
+                                                        .src1_type = context.src1->type };
+
+        auto it = mul_mat_legacy_pipelines.find(key);
+        if (it != mul_mat_legacy_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "mul_mat";
+
+        switch (context.src1->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC1_TYPE=f32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC1_TYPE=f16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported src1 type for mul_mat legacy shader");
+        }
+
+        const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
+        const char *                    src0_name   = src0_traits->type_name;
+
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_TYPE=f32");
+                defines.push_back("FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_TYPE=f16");
+                defines.push_back("FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
+                    // quantized types
+                    std::string type_upper = src0_name;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back(std::string("SRC0_TYPE=") + src0_name);
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back(type_upper + "_T");
+                    defines.push_back(type_upper);
+                    defines.push_back(type_upper + "_SCALE_MIN");
+                    defines.push_back(type_upper + "_TABLES");
+                    defines.push_back(type_upper + "_GRID");
+
+                    variant += std::string("_") + src0_name;
+                    break;
+                }
+        }
+
+        auto processed = preprocessor.preprocess(wgsl_mul_mat, defines);
+
+        auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size = WEBGPU_MUL_MAT_WG_SIZE;
+
+        webgpu_pipeline pipeline      = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context              = decisions;
+        mul_mat_legacy_pipelines[key] = pipeline;
+        return mul_mat_legacy_pipelines[key];
     }
 
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+    webgpu_pipeline get_unary_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        const bool                     is_unary = context.dst->op == GGML_OP_UNARY;
+        const int                      op       = is_unary ? (int) ggml_get_unary_op(context.dst) : context.dst->op;
+        ggml_webgpu_unary_pipeline_key key      = {
+                 .type     = context.dst->type,
+                 .op       = op,
+                 .is_unary = is_unary,
+                 .inplace  = context.inplace,
+        };
+
+        auto it = unary_pipelines.find(key);
+        if (it != unary_pipelines.end()) {
+            return it->second;
+        }
 
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
-    decisions->wg_size = context.max_wg_size;
-    result.decisions   = decisions;
-    return result;
-}
+        std::vector<std::string> defines;
+        std::string              variant =
+            key.is_unary ? ggml_unary_op_name((ggml_unary_op) key.op) : ggml_op_name((ggml_op) key.op);
+        defines.push_back(variant);
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("TYPE_F16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for unary shader");
+        }
 
-/** Binary **/
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        }
 
-struct ggml_webgpu_binary_pipeline_key {
-    int  type;
-    int  op;
-    bool inplace;
-    bool overlap;
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
 
-    bool operator==(const ggml_webgpu_binary_pipeline_key & other) const {
-        return type == other.type && op == other.op && inplace == other.inplace && overlap == other.overlap;
+        auto processed           = preprocessor.preprocess(wgsl_unary, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        unary_pipelines[key]     = pipeline;
+        return unary_pipelines[key];
     }
-};
 
-struct ggml_webgpu_binary_pipeline_key_hash {
-    size_t operator()(const ggml_webgpu_binary_pipeline_key & key) const {
-        size_t seed = 0;
-        ggml_webgpu_hash_combine(seed, key.type);
-        ggml_webgpu_hash_combine(seed, key.op);
-        ggml_webgpu_hash_combine(seed, key.inplace);
-        ggml_webgpu_hash_combine(seed, key.overlap);
-        return seed;
+    webgpu_pipeline get_binary_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_binary_pipeline_key key = {
+            .type        = context.dst->type,
+            .op          = context.dst->op,
+            .inplace     = context.inplace,
+            .overlap     = context.overlap,
+            .src_overlap = context.src_overlap,
+        };
+
+        auto it = binary_pipelines.find(key);
+        if (it != binary_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              op_name = ggml_op_name((ggml_op) key.op);
+        std::string              variant = op_name;
+
+        defines.push_back(std::string("OP_") + op_name);
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("TYPE_F16");
+                variant += "_f16";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for binary shader");
+        }
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        } else if (key.overlap) {
+            defines.push_back("OVERLAP");
+            variant += "_overlap";
+        } else if (key.src_overlap) {
+            defines.push_back("SRC_OVERLAP");
+            variant += "_src_overlap";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_binary, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        binary_pipelines[key]    = pipeline;
+        return binary_pipelines[key];
     }
-};
 
-struct ggml_webgpu_binary_shader_lib_context {
-    ggml_webgpu_binary_pipeline_key key;
-    uint32_t                        max_wg_size;
-};
+    webgpu_pipeline get_concat_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_concat_pipeline_key key = {
+            .type = context.dst->type,
+        };
 
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_binary_shader(
-    pre_wgsl::Preprocessor &                      preprocessor,
-    const char *                                  shader_src,
-    const ggml_webgpu_binary_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              op_name = ggml_op_name((ggml_op) context.key.op);
-    std::string              variant = op_name;
+        auto it = concat_pipelines.find(key);
+        if (it != concat_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "concat";
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_I32:
+                defines.push_back("TYPE_I32");
+                variant += "_i32";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for concat shader");
+        }
 
-    defines.push_back(std::string("OP_") + op_name);
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
 
-    switch (context.key.type) {
-        case GGML_TYPE_F32:
-            defines.push_back("TYPE_F32");
-            variant += "_f32";
-            break;
-        case GGML_TYPE_F16:
-            defines.push_back("TYPE_F16");
-            variant += "_f16";
-            break;
-        default:
-            GGML_ABORT("Unsupported type for binary shader");
+        auto processed           = preprocessor.preprocess(wgsl_concat, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        concat_pipelines[key]    = pipeline;
+        return concat_pipelines[key];
     }
 
-    if (context.key.inplace) {
-        defines.push_back("INPLACE");
-        variant += "_inplace";
-    } else if (context.key.overlap) {
-        defines.push_back("OVERLAP");
-        variant += "_overlap";
+    webgpu_pipeline get_repeat_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_repeat_pipeline_key key = {
+            .type = context.dst->type,
+        };
+
+        auto it = repeat_pipelines.find(key);
+        if (it != repeat_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "repeat";
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                defines.push_back("TYPE_F32");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_I32:
+                defines.push_back("TYPE_I32");
+                variant += "_i32";
+                break;
+            case GGML_TYPE_I16:
+                defines.push_back("TYPE_I16");
+                variant += "_i16";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for repeat shader");
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_repeat, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        repeat_pipelines[key]    = pipeline;
+        return repeat_pipelines[key];
     }
 
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
-    ggml_webgpu_processed_shader result;
-    result.wgsl        = preprocessor.preprocess(shader_src, defines);
-    result.variant     = variant;
-    auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
-    decisions->wg_size = context.max_wg_size;
-    result.decisions   = decisions;
-    return result;
-}
+    webgpu_pipeline get_flash_attn_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        const bool has_mask  = context.src3 != nullptr;
+        const bool has_sinks = context.src4 != nullptr;
+
+        bool kv_direct = (context.src1->type == GGML_TYPE_F16) && (context.src0->ne[0] % context.sg_mat_k == 0) &&
+                         (context.src1->ne[1] % context.sg_mat_n == 0);
+
+        ggml_webgpu_flash_attn_pipeline_key key = {
+            .kv_type            = context.src1->type,
+            .head_dim_qk        = (uint32_t) context.src0->ne[0],
+            .head_dim_v         = (uint32_t) context.src2->ne[0],
+            .kv_direct          = kv_direct,
+            .has_mask           = has_mask,
+            .has_sinks          = has_sinks,
+            .uses_logit_softcap = (*(float *) &context.dst->op_params[2]) != 0.0f,
+        };
+
+        auto it = flash_attn_pipelines.find(key);
+        if (it != flash_attn_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "flash_attn";
+
+        switch (key.kv_type) {
+            case GGML_TYPE_F32:
+                defines.push_back("KV_F32");
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("KV_F16");
+                break;
+            case GGML_TYPE_Q4_0:
+                defines.push_back("KV_Q4_0");
+                break;
+            case GGML_TYPE_Q8_0:
+                defines.push_back("KV_Q8_0");
+                break;
+            default:
+                GGML_ABORT("Unsupported KV type for flash attention shader");
+        }
+        variant += std::string("_") + ggml_type_name(key.kv_type);
+
+        if (key.has_mask) {
+            defines.push_back("MASK");
+            variant += "_mask";
+        }
+        if (key.has_sinks) {
+            defines.push_back("SINKS");
+            variant += "_sinks";
+        }
+        if (key.uses_logit_softcap) {
+            defines.push_back("LOGIT_SOFTCAP");
+            variant += "_lgsc";
+        }
+        if (key.kv_direct) {
+            defines.push_back("KV_DIRECT");
+            variant += "_kvdirect";
+        }
+
+        defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(key.head_dim_qk));
+        variant += std::string("_hsqk") + std::to_string(key.head_dim_qk);
+
+        defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(key.head_dim_v));
+        variant += std::string("_hsv") + std::to_string(key.head_dim_v);
+
+        defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m));
+        defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n));
+        defines.push_back(std::string("SG_MAT_K=") + std::to_string(context.sg_mat_k));
+
+        uint32_t q_tile = context.sg_mat_m;
+        uint32_t kv_tile =
+            std::min(ggml_webgpu_flash_attn_max_kv_tile({ key, context.sg_mat_m, context.sg_mat_n, context.sg_mat_k,
+                                                          context.wg_mem_limit_bytes, context.max_subgroup_size }),
+                     context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES);
+        if (key.kv_direct) {
+            while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) {
+                kv_tile -= context.sg_mat_n;
+            }
+        }
+
+        defines.push_back(std::string("Q_TILE=") + std::to_string(q_tile));
+        defines.push_back(std::string("KV_TILE=") + std::to_string(kv_tile));
+
+        uint32_t wg_size = std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE);
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+
+        auto processed     = preprocessor.preprocess(wgsl_flash_attn, defines);
+        auto decisions     = std::make_shared<ggml_webgpu_flash_attn_shader_decisions>();
+        decisions->q_tile  = q_tile;
+        decisions->kv_tile = kv_tile;
+        decisions->wg_size = wg_size;
+
+        webgpu_pipeline pipeline  = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context          = decisions;
+        flash_attn_pipelines[key] = pipeline;
+        return flash_attn_pipelines[key];
+    }
+
+  private:
+    static webgpu_pipeline ggml_webgpu_create_pipeline(wgpu::Device & device,
+                                                       std::string    shader_code,
+                                                       std::string    label) {
+        wgpu::ShaderSourceWGSL shader_source;
+        shader_source.code = shader_code.c_str();
+
+        wgpu::ShaderModuleDescriptor shader_desc;
+        shader_desc.nextInChain = &shader_source;
+
+        wgpu::ShaderModule shader_module = device.CreateShaderModule(&shader_desc);
+
+        wgpu::ComputePipelineDescriptor pipeline_desc;
+        pipeline_desc.label              = label.c_str();
+        pipeline_desc.compute.module     = shader_module;
+        pipeline_desc.compute.entryPoint = "main";   // Entry point in the WGSL code
+        pipeline_desc.layout             = nullptr;  // nullptr means auto layout
+        return { device.CreateComputePipeline(&pipeline_desc), label };
+    }
+
+    static uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_flash_attn_shader_lib_context & context) {
+        const size_t limit_bytes = context.wg_mem_limit_bytes;
+        const size_t q_tile      = context.sg_mat_m;
+        const size_t base_q_bytes =
+            (context.key.head_dim_qk + context.key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
+            2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
+        size_t bytes_per_kv = 0;
+        if (!context.key.kv_direct) {
+            bytes_per_kv += std::max(context.key.head_dim_qk, context.key.head_dim_v);
+        }
+        if (context.key.has_mask) {
+            bytes_per_kv += q_tile;
+        }
+        bytes_per_kv += q_tile;
+        bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
+        const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv;
+        return (max_kv_tile / context.sg_mat_n) * context.sg_mat_n;
+    }
+};
+
 #endif  // GGML_WEBGPU_SHADER_LIB_HPP
diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp
index 32e120266a9..128b7dc3de8 100644
--- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp
+++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp
@@ -8,8 +8,6 @@
 #include "ggml-backend-impl.h"
 #include "ggml-impl.h"
 #include "ggml-webgpu-shader-lib.hpp"
-#include "ggml-wgsl-shaders.hpp"
-#include "pre_wgsl.hpp"
 
 #ifdef __EMSCRIPTEN__
 #    include <emscripten/emscripten.h>
@@ -21,16 +19,30 @@
 #include <condition_variable>
 #include <cstdint>
 #include <cstring>
-#include <iostream>
+#ifdef GGML_WEBGPU_GPU_PROFILE
+#    include <iomanip>
+#endif
+#if defined(GGML_WEBGPU_DEBUG) || defined(GGML_WEBGPU_CPU_PROFILE) || defined(GGML_WEBGPU_GPU_PROFILE)
+#    include <iostream>
+#endif
 #include <map>
+#include <memory>
 #include <mutex>
 #include <optional>
 #include <string>
+#include <utility>
 #include <vector>
 
 #define ROUNDUP_POW2(x, pow2) (((x) + ((pow2) - 1)) & ~((pow2) - 1))
 #define CEIL_DIV(M, N)        (((M) + (N) - 1) / (N))
 
+// Return a rectangular grid of workgroups with minimal over-provisioned workgroups.
+// Assumes that the total number of workgroups does not exceed max_per_dim^2.
+static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim, uint32_t & wg_x, uint32_t & wg_y) {
+    wg_y = std::max(1u, CEIL_DIV(total_wg, max_per_dim));
+    wg_x = CEIL_DIV(total_wg, wg_y);
+}
+
 #ifdef GGML_WEBGPU_DEBUG
 #    define WEBGPU_LOG_DEBUG(msg)  std::cout << msg << std::endl
 #    define WEBGPU_DEBUG_BUF_ELEMS 512
@@ -63,56 +75,34 @@
 #endif  // GGML_WEBGPU_CPU_PROFILE
 
 #ifdef GGML_WEBGPU_GPU_PROFILE
-#    define WEBGPU_NUM_TIMESTAMP_QUERY_BUFS       24
+#    define WEBGPU_NUM_TIMESTAMP_QUERY_BUFS       32
 #    define WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES 16  // e.g. enough for two timestamps
 #endif
 
 /* Constants */
 
-// Track https://github.com/gpuweb/gpuweb/issues/5315 for fixes to implementations so this can be removed.
-#define WEBGPU_MAX_WG_SIZE 288
-
-#define WEBGPU_MUL_MAT_WG_SIZE               256
-#define WEBGPU_NUM_PARAM_BUFS                16u
-#define WEBGPU_COMMAND_SUBMIT_BATCH_SIZE     8u
+#define WEBGPU_NUM_PARAM_BUFS                96u
+#define WEBGPU_COMMAND_SUBMIT_BATCH_SIZE     32u
 #define WEBGPU_WAIT_ANY_TIMEOUT_MS           0
-// Maximum number of in-flight submissions per-thread, to avoid exhausting the parameter buffer pool
-#define WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD  WEBGPU_NUM_PARAM_BUFS / WEBGPU_COMMAND_SUBMIT_BATCH_SIZE
+// Maximum number of in-flight submissions per-thread, to avoid exhausting the
+// parameter buffer pool
+#define WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD  (WEBGPU_NUM_PARAM_BUFS / WEBGPU_COMMAND_SUBMIT_BATCH_SIZE)
 #define WEBGPU_PARAMS_BUF_SIZE_BYTES         128  // enough for 32 parameters
-#define WEBGPU_NUM_SET_ROWS_ERROR_BUFS       16
 #define WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES 4
-#define WEBGPU_STORAGE_BUF_BINDING_MULT      4  // a storage buffer binding size must be a multiple of 4
+#define WEBGPU_STORAGE_BUF_BINDING_MULT      4    // a storage buffer binding size must be a multiple of 4
 
-// For operations which process a row in parallel, this seems like a reasonable default
+// For operations which process a row in parallel, this seems like a reasonable
+// default
 #define WEBGPU_ROW_SPLIT_WG_SIZE 64
 
-// Matrix multiplication parameters
-
-// Register tiling parameters
-#define WEBGPU_MUL_MAT_TILE_M    8
-#define WEBGPU_MUL_MAT_TILE_N    8
-#define WEBGPU_MUL_MAT_WG_SIZE_M 8
-#define WEBGPU_MUL_MAT_WG_SIZE_N 8
-#define WEBGPU_MUL_MAT_TILE_K    32
-
-// Subgroup matrix parameters
-// The number of subgroups in the M dimension
-#define WEBGPU_MUL_MAT_SUBGROUP_M        2
-// The number of subgroups in the N dimension
-#define WEBGPU_MUL_MAT_SUBGROUP_N        2
-// The number of subgroup matrices each subgroup accumulates over
-#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M 4
-#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N 2
-
-// Matrix-vector multiplication parameters
-#define WEBGPU_MUL_MAT_VEC_WG_SIZE        256
-// Must be multiple of 4 to work with vectorized paths, and must divide mul_mat_vec wg size
-#define WEBGPU_MUL_MAT_VEC_OUTPUTS_PER_WG 64
-#define WEBGPU_MUL_MAT_VEC_TILE_K         256
+// Track https://github.com/gpuweb/gpuweb/issues/5315 for fixes to
+// implementations so this can be removed, necessary only for get_rows right now
+#define WEBGPU_MAX_WG_SIZE 288
 
 /* End Constants */
 
-// This is a "fake" base pointer, since WebGPU buffers do not have pointers to their locations.
+// This is a "fake" base pointer, since WebGPU buffers do not have pointers to
+// their locations.
 static void * const webgpu_ptr_base = (void *) (uintptr_t) 0x1000;  // NOLINT
 
 // Always returns the base offset of a tensor, regardless of views.
@@ -132,19 +122,9 @@ static void ggml_webgpu_create_buffer(wgpu::Device &    device,
                                       wgpu::BufferUsage usage,
                                       const char *      label);
 
-struct webgpu_pool_bufs {
-    wgpu::Buffer host_buf;
-    wgpu::Buffer dev_buf;
-};
-
-// The futures to wait on for a single queue submission
-struct webgpu_submission_futures {
-    std::vector<wgpu::FutureWaitInfo> futures;
-};
-
 // Holds a pool of parameter buffers for WebGPU operations
 struct webgpu_buf_pool {
-    std::vector<webgpu_pool_bufs> free;
+    std::vector<wgpu::Buffer> free;
 
     // The pool must be synchronized because
     // 1. The memset pool is shared globally by every ggml buffer,
@@ -154,30 +134,58 @@ struct webgpu_buf_pool {
     // which can run on a different thread than the calling thread.
     std::mutex              mutex;
     std::condition_variable cv;
+    size_t                  cur_pool_size;
+    size_t                  max_pool_size;
+    wgpu::Device            device;
+    wgpu::BufferUsage       dev_buf_usage;
+    size_t                  buf_size;
+    bool                    should_grow;
 
     void init(wgpu::Device      device,
               int               num_bufs,
               size_t            buf_size,
               wgpu::BufferUsage dev_buf_usage,
-              wgpu::BufferUsage host_buf_usage) {
+              bool              should_grow   = false,
+              size_t            max_pool_size = WEBGPU_NUM_PARAM_BUFS * 2) {
+        this->max_pool_size = max_pool_size;
+        this->cur_pool_size = num_bufs;
+        this->device        = device;
+        this->dev_buf_usage = dev_buf_usage;
+        this->buf_size      = buf_size;
+        this->should_grow   = should_grow;
         for (int i = 0; i < num_bufs; i++) {
-            wgpu::Buffer host_buf;
             wgpu::Buffer dev_buf;
-            ggml_webgpu_create_buffer(device, host_buf, buf_size, host_buf_usage, "ggml_webgpu_host_pool_buf");
             ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_pool_buf");
-            free.push_back({ host_buf, dev_buf });
+            free.push_back(dev_buf);
         }
     }
 
-    webgpu_pool_bufs alloc_bufs() {
+    wgpu::Buffer alloc_bufs() {
         std::unique_lock<std::mutex> lock(mutex);
+        if (!free.empty()) {
+            wgpu::Buffer buf = free.back();
+            free.pop_back();
+            return buf;
+        }
+
+        // Try growing the pool if no free buffers
+        if (free.empty() && cur_pool_size < max_pool_size && should_grow) {
+            cur_pool_size++;
+            wgpu::Buffer dev_buf;
+            ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_pool_buf");
+
+            if (!dev_buf) {
+                GGML_ABORT("webgpu_buf_pool: failed to allocate buffers");
+            }
+            return dev_buf;
+        }
         cv.wait(lock, [this] { return !free.empty(); });
-        webgpu_pool_bufs bufs = free.back();
+        wgpu::Buffer buf = free.back();
         free.pop_back();
-        return bufs;
+        return buf;
     }
 
-    void free_bufs(std::vector<webgpu_pool_bufs> bufs) {
+    void free_bufs(std::vector<wgpu::Buffer> bufs) {
         std::lock_guard<std::mutex> lock(mutex);
         free.insert(free.end(), bufs.begin(), bufs.end());
         cv.notify_all();
@@ -185,12 +193,9 @@ struct webgpu_buf_pool {
 
     void cleanup() {
         std::lock_guard<std::mutex> lock(mutex);
-        for (auto & bufs : free) {
-            if (bufs.host_buf) {
-                bufs.host_buf.Destroy();
-            }
-            if (bufs.dev_buf) {
-                bufs.dev_buf.Destroy();
+        for (auto & buf : free) {
+            if (buf) {
+                buf.Destroy();
             }
         }
         free.clear();
@@ -263,16 +268,10 @@ struct webgpu_gpu_profile_buf_pool {
 };
 #endif
 
-struct webgpu_pipeline {
-    wgpu::ComputePipeline pipeline;
-    std::string           name;
-    std::shared_ptr<void> context = nullptr;
-};
-
 struct webgpu_command {
-    wgpu::CommandBuffer             commands;
-    std::vector<webgpu_pool_bufs>   params_bufs;
-    std::optional<webgpu_pool_bufs> set_rows_error_bufs;
+    uint32_t                  num_kernels;
+    wgpu::CommandBuffer       commands;
+    std::vector<wgpu::Buffer> params_bufs;
 #ifdef GGML_WEBGPU_GPU_PROFILE
     webgpu_gpu_profile_bufs timestamp_query_bufs;
     std::string             pipeline_name;
@@ -307,7 +306,6 @@ struct webgpu_global_context_struct {
 
     webgpu_buf_pool                memset_buf_pool;
     std::map<int, webgpu_pipeline> memset_pipelines;  // variant or type index
-    std::atomic_uint               inflight_threads = 0;
 
 #ifdef GGML_WEBGPU_CPU_PROFILE
     // Profiling: labeled CPU time in ms (total)
@@ -348,46 +346,31 @@ struct webgpu_global_context_struct {
 
 typedef std::shared_ptr<webgpu_global_context_struct> webgpu_global_context;
 
+struct webgpu_submission {
+    wgpu::FutureWaitInfo submit_done;
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    std::vector<wgpu::FutureWaitInfo> profile_futures;
+#endif
+};
+
 // All the base objects needed to run operations on a WebGPU device
 struct webgpu_context_struct {
     // Points to global instances owned by ggml_backend_webgpu_reg_context
     webgpu_global_context global_ctx;
 
-    pre_wgsl::Preprocessor p;
+    std::unique_ptr<ggml_webgpu_shader_lib> shader_lib;
 
     webgpu_buf_pool param_buf_pool;
-    webgpu_buf_pool set_rows_error_buf_pool;
+    wgpu::Buffer    set_rows_dev_error_buf;
+    wgpu::Buffer    set_rows_host_error_buf;
 
-    std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> mul_mat_pipelines;  // src0_type, src1_type, vectorized
-    std::map<int, std::map<int, std::map<int, webgpu_pipeline>>>
-        mul_mat_vec_pipelines;                                                       // src0_type, src1_type, vectorized
-
-    std::unordered_map<ggml_webgpu_flash_attn_pipeline_key, webgpu_pipeline, ggml_webgpu_flash_attn_pipeline_key_hash>
-        flash_attn_pipelines;
-
-    std::unordered_map<int, webgpu_pipeline> argmax_pipelines;         // key is vec4
-    std::unordered_map<int, webgpu_pipeline> argsort_pipelines;        // key is order (asc/desc)
-    std::unordered_map<int, webgpu_pipeline> argsort_merge_pipelines;  // key is order (asc/desc)
-    std::unordered_map<int, webgpu_pipeline> cumsum_pipelines;         // key is fixed, no variants yet
-    std::unordered_map<int, webgpu_pipeline> sum_rows_pipelines;       // key is fixed, no variants yet
-
-    std::unordered_map<ggml_webgpu_set_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_set_rows_pipeline_key_hash>
-                                                  set_rows_pipelines;
-    std::map<int, std::map<int, webgpu_pipeline>> get_rows_pipelines;  // src_type, vectorized
-
-    std::map<int, std::map<int, webgpu_pipeline>> cpy_pipelines;       // src_type, dst_type
-
-    std::unordered_map<ggml_webgpu_binary_pipeline_key, webgpu_pipeline, ggml_webgpu_binary_pipeline_key_hash>
-        binary_pipelines;
+    std::map<int, std::map<int, webgpu_pipeline>> cpy_pipelines;                      // src_type, dst_type
 
     std::map<int, webgpu_pipeline>                               rms_norm_pipelines;  // inplace
     std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> rope_pipelines;      // type, ff, inplace
     std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> glu_pipelines;       // glu_op, type, split
-    std::map<int, webgpu_pipeline>                               scale_pipelines;     // inplace
+
     std::map<int, std::map<int, std::map<int, webgpu_pipeline>>> soft_max_pipelines;  // mask_type, has_sink, inplace
-    std::unordered_map<ggml_webgpu_unary_pipeline_key, webgpu_pipeline, ggml_webgpu_unary_pipeline_key_hash>
-        unary_pipelines;
-    std::unordered_map<ggml_webgpu_pad_pipeline_key, webgpu_pipeline, ggml_webgpu_pad_pipeline_key_hash> pad_pipelines;
 
     size_t memset_bytes_per_thread;
 };
@@ -429,25 +412,6 @@ struct ggml_backend_webgpu_buffer_context {
 
 /* WebGPU object initializations */
 
-// Process a WGSL shader string, replacing tokens of the form {{KEY}} with
-// the corresponding values provided in `repls`.
-static std::string ggml_webgpu_process_shader_repls(const char *                               src,
-                                                    const std::map<std::string, std::string> & repls) {
-    if (!src) {
-        return std::string();
-    }
-    std::string s = src;
-    for (const auto & kv : repls) {
-        std::string token = "{{" + kv.first + "}}";
-        size_t      pos   = 0;
-        while ((pos = s.find(token, pos)) != std::string::npos) {
-            s.replace(pos, token.length(), kv.second);
-            pos += kv.second.length();
-        }
-    }
-    return s;
-}
-
 static webgpu_pipeline ggml_webgpu_create_pipeline(wgpu::Device &                           device,
                                                    const char *                             shader_code,
                                                    const char *                             label,
@@ -491,35 +455,104 @@ static void ggml_webgpu_create_buffer(wgpu::Device &    device,
 
 /** WebGPU Actions */
 
+static bool ggml_backend_webgpu_handle_wait_status(wgpu::WaitStatus status, bool allow_timeout = false) {
+    switch (status) {
+        case wgpu::WaitStatus::Success:
+            return true;
+        case wgpu::WaitStatus::TimedOut:
+            if (allow_timeout) {
+                return false;
+            }
+            GGML_LOG_ERROR("ggml_webgpu: WaitAny timed out unexpectedly\n");
+            return false;
+        case wgpu::WaitStatus::Error:
+            GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n");
+            return false;
+        default:
+            GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an unknown status\n");
+            return false;
+    }
+}
+
+#ifdef GGML_WEBGPU_GPU_PROFILE
+static void ggml_backend_webgpu_erase_completed_futures(std::vector<wgpu::FutureWaitInfo> & futures) {
+    futures.erase(std::remove_if(futures.begin(), futures.end(),
+                                 [](const wgpu::FutureWaitInfo & info) { return info.completed; }),
+                  futures.end());
+}
+
+static void ggml_backend_webgpu_wait_profile_futures(webgpu_global_context &             ctx,
+                                                     std::vector<wgpu::FutureWaitInfo> & futures,
+                                                     bool                                block) {
+    if (futures.empty()) {
+        return;
+    }
+
+    uint64_t timeout_ms = block ? UINT64_MAX : 0;
+    if (block) {
+        while (!futures.empty()) {
+            auto waitStatus = ctx->instance.WaitAny(futures.size(), futures.data(), timeout_ms);
+            if (ggml_backend_webgpu_handle_wait_status(waitStatus)) {
+                ggml_backend_webgpu_erase_completed_futures(futures);
+            }
+        }
+    } else {
+        auto waitStatus = ctx->instance.WaitAny(futures.size(), futures.data(), timeout_ms);
+        if (ggml_backend_webgpu_handle_wait_status(waitStatus, true)) {
+            ggml_backend_webgpu_erase_completed_futures(futures);
+        }
+    }
+}
+#endif
+
 // Wait for the queue to finish processing all submitted work
-static void ggml_backend_webgpu_wait(webgpu_global_context &                  ctx,
-                                     std::vector<webgpu_submission_futures> & futures,
-                                     bool                                     block = true) {
-    // If we have too many in-flight submissions, wait on the oldest one first. If there are many threads,
-    // inflight_max may be 0, meaning that we must wait on all futures.
-    uint64_t timeout_ms       = block ? UINT64_MAX : 0;
-    uint32_t inflight_threads = ctx->inflight_threads;
-    uint32_t inflight_max     = WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD / std::max(inflight_threads, 1u);
-    while (futures.size() >= inflight_max && futures.size() > 0) {
-        ctx->instance.WaitAny(futures[0].futures.size(), futures[0].futures.data(), UINT64_MAX);
-        futures.erase(futures.begin());
-    }
-    size_t i = 0;
-    while (i < futures.size()) {
-        auto waitStatus = ctx->instance.WaitAny(futures[i].futures.size(), futures[i].futures.data(), timeout_ms);
-        switch (waitStatus) {
-            case wgpu::WaitStatus::Success:
-                futures.erase(futures.begin() + i);
-                break;
-            case wgpu::WaitStatus::TimedOut:
-                i++;
-                break;
-            case wgpu::WaitStatus::Error:
-                GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n");
-                break;
-            default:
-                GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an unknown status\n");
-                break;
+static void ggml_backend_webgpu_wait(webgpu_global_context &          ctx,
+                                     std::vector<webgpu_submission> & subs,
+                                     bool                             block = true) {
+    // If we have too many in-flight submissions, wait on the oldest one first.
+    if (subs.empty()) {
+        return;
+    }
+    while (subs.size() >= WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD) {
+        auto waitStatus = ctx->instance.WaitAny(1, &subs[0].submit_done, UINT64_MAX);
+        if (ggml_backend_webgpu_handle_wait_status(waitStatus)) {
+#ifdef GGML_WEBGPU_GPU_PROFILE
+            ggml_backend_webgpu_wait_profile_futures(ctx, subs[0].profile_futures, true);
+#endif
+            subs.erase(subs.begin());
+        }
+    }
+
+    if (subs.empty()) {
+        return;
+    }
+
+    if (block) {
+        for (auto & sub : subs) {
+            while (!sub.submit_done.completed) {
+                auto waitStatus = ctx->instance.WaitAny(1, &sub.submit_done, UINT64_MAX);
+                ggml_backend_webgpu_handle_wait_status(waitStatus);
+            }
+#ifdef GGML_WEBGPU_GPU_PROFILE
+            ggml_backend_webgpu_wait_profile_futures(ctx, sub.profile_futures, true);
+#endif
+        }
+        subs.clear();
+    } else {
+        // Poll each submit future once and remove completed submissions.
+        for (auto sub = subs.begin(); sub != subs.end();) {
+            auto waitStatus = ctx->instance.WaitAny(1, &sub->submit_done, 0);
+            ggml_backend_webgpu_handle_wait_status(waitStatus, true);
+#ifdef GGML_WEBGPU_GPU_PROFILE
+            ggml_backend_webgpu_wait_profile_futures(ctx, sub->profile_futures, false);
+            if (sub->submit_done.completed && sub->profile_futures.empty()) {
+#else
+            if (sub->submit_done.completed) {
+#endif
+                sub = subs.erase(sub);
+            } else {
+                ++sub;
+            }
         }
     }
 }
@@ -555,13 +588,12 @@ static void ggml_backend_webgpu_debug(webgpu_global_context & ctx) {
 }
 #endif
 
-static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_global_context       ctx,
-                                                            std::vector<webgpu_command> commands,
-                                                            webgpu_buf_pool &           param_buf_pool,
-                                                            webgpu_buf_pool * set_rows_error_buf_pool = nullptr) {
+static webgpu_submission ggml_backend_webgpu_submit(webgpu_global_context &       ctx,
+                                                    std::vector<webgpu_command> & commands,
+                                                    webgpu_buf_pool &             param_buf_pool) {
     std::vector<wgpu::CommandBuffer> command_buffers;
-    std::vector<webgpu_pool_bufs>    params_bufs;
-    std::vector<webgpu_pool_bufs>    set_rows_error_bufs;
+    std::vector<wgpu::Buffer>        params_bufs;
+    webgpu_submission                submission;
 #ifdef GGML_WEBGPU_GPU_PROFILE
     std::vector<std::pair<std::string, webgpu_gpu_profile_bufs>> pipeline_name_and_ts_bufs;
 #endif
@@ -569,14 +601,9 @@ static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_global_contex
     for (const auto & command : commands) {
         command_buffers.push_back(command.commands);
         params_bufs.insert(params_bufs.end(), command.params_bufs.begin(), command.params_bufs.end());
-        if (command.set_rows_error_bufs) {
-            set_rows_error_bufs.push_back(command.set_rows_error_bufs.value());
-        }
     }
     ctx->queue.Submit(command_buffers.size(), command_buffers.data());
 
-    std::vector<wgpu::FutureWaitInfo> futures;
-
     wgpu::Future p_f = ctx->queue.OnSubmittedWorkDone(
         wgpu::CallbackMode::AllowSpontaneous,
         [&param_buf_pool, params_bufs](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) {
@@ -586,27 +613,7 @@ static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_global_contex
             // Free the staged buffers
             param_buf_pool.free_bufs(params_bufs);
         });
-    futures.push_back({ p_f });
-
-    for (const auto & bufs : set_rows_error_bufs) {
-        wgpu::Future f = bufs.host_buf.MapAsync(
-            wgpu::MapMode::Read, 0, bufs.host_buf.GetSize(), wgpu::CallbackMode::AllowSpontaneous,
-            [set_rows_error_buf_pool, bufs](wgpu::MapAsyncStatus status, wgpu::StringView message) {
-                if (status != wgpu::MapAsyncStatus::Success) {
-                    GGML_LOG_ERROR("ggml_webgpu: Failed to map error buffer: %s\n", std::string(message).c_str());
-                } else {
-                    const uint32_t * error_data = (const uint32_t *) bufs.host_buf.GetConstMappedRange();
-                    if (*error_data) {
-                        GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported.");
-                    }
-                    // We can't unmap in here due to WebGPU reentrancy limitations.
-                    if (set_rows_error_buf_pool) {
-                        set_rows_error_buf_pool->free_bufs({ bufs });
-                    }
-                }
-            });
-        futures.push_back({ f });
-    }
+    submission.submit_done = { p_f };
 
 #ifdef GGML_WEBGPU_GPU_PROFILE
     for (const auto & command : commands) {
@@ -623,14 +630,14 @@ static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_global_contex
                     // WebGPU timestamps are in ns; convert to ms
                     double           elapsed_ms = double(ts_data[1] - ts_data[0]) * 1e-6;
                     ctx->shader_gpu_time_ms[label] += elapsed_ms;
-                    // We can't unmap in here due to WebGPU reentrancy limitations.
-                    ctx->timestamp_query_buf_pool.free_bufs({ ts_bufs });
                 }
+                // We can't unmap in here due to WebGPU reentrancy limitations.
+                ctx->timestamp_query_buf_pool.free_bufs({ ts_bufs });
             });
-        futures.push_back({ f });
+        submission.profile_futures.push_back({ f });
     }
 #endif
-    return { futures };
+    return submission;
 }
 
 static webgpu_command ggml_backend_webgpu_build_multi(
@@ -639,32 +646,21 @@ static webgpu_command ggml_backend_webgpu_build_multi(
     const std::vector<webgpu_pipeline> &                   pipelines,
     const std::vector<std::vector<uint32_t>> &             params_list,
     const std::vector<std::vector<wgpu::BindGroupEntry>> & bind_group_entries_list,
-    const std::vector<std::pair<uint32_t, uint32_t>> &     workgroups_list,
-    const std::optional<webgpu_pool_bufs> &                set_rows_error_bufs = std::nullopt) {
+    const std::vector<std::pair<uint32_t, uint32_t>> &     workgroups_list) {
     GGML_ASSERT(pipelines.size() == params_list.size());
     GGML_ASSERT(pipelines.size() == bind_group_entries_list.size());
     GGML_ASSERT(pipelines.size() == workgroups_list.size());
 
-    std::vector<webgpu_pool_bufs> params_bufs_list;
-    std::vector<wgpu::BindGroup>  bind_groups;
+    std::vector<wgpu::Buffer>    params_bufs_list;
+    std::vector<wgpu::BindGroup> bind_groups;
 
     for (size_t i = 0; i < pipelines.size(); i++) {
-        webgpu_pool_bufs params_bufs = param_buf_pool.alloc_bufs();
-
-        ggml_backend_webgpu_map_buffer(ctx, params_bufs.host_buf, wgpu::MapMode::Write, 0,
-                                       params_bufs.host_buf.GetSize());
-        uint32_t * _params = (uint32_t *) params_bufs.host_buf.GetMappedRange();
-        for (size_t j = 0; j < params_list[i].size(); j++) {
-            _params[j] = params_list[i][j];
-        }
-        params_bufs.host_buf.Unmap();
+        wgpu::Buffer params_bufs = param_buf_pool.alloc_bufs();
 
         std::vector<wgpu::BindGroupEntry> entries            = bind_group_entries_list[i];
         uint32_t                          params_binding_num = entries.size();
-        entries.push_back({ .binding = params_binding_num,
-                            .buffer  = params_bufs.dev_buf,
-                            .offset  = 0,
-                            .size    = params_bufs.dev_buf.GetSize() });
+        entries.push_back(
+            { .binding = params_binding_num, .buffer = params_bufs, .offset = 0, .size = params_bufs.GetSize() });
 
         wgpu::BindGroupDescriptor bind_group_desc;
         bind_group_desc.layout     = pipelines[i].pipeline.GetBindGroupLayout(0);
@@ -677,14 +673,8 @@ static webgpu_command ggml_backend_webgpu_build_multi(
     }
 
     wgpu::CommandEncoder encoder = ctx->device.CreateCommandEncoder();
-    for (const auto & params_bufs : params_bufs_list) {
-        encoder.CopyBufferToBuffer(params_bufs.host_buf, 0, params_bufs.dev_buf, 0, params_bufs.dev_buf.GetSize());
-    }
-
-    // If there are SET_ROWS operations in this submission, copy their error buffers to the host.
-    if (set_rows_error_bufs) {
-        encoder.CopyBufferToBuffer(set_rows_error_bufs->dev_buf, 0, set_rows_error_bufs->host_buf, 0,
-                                   set_rows_error_bufs->host_buf.GetSize());
+    for (size_t i = 0; i < params_bufs_list.size(); i++) {
+        ctx->queue.WriteBuffer(params_bufs_list[i], 0, params_list[i].data(), params_list[i].size() * sizeof(uint32_t));
     }
 
 #ifdef GGML_WEBGPU_GPU_PROFILE
@@ -717,7 +707,7 @@ static webgpu_command ggml_backend_webgpu_build_multi(
     webgpu_command      result   = {};
     result.commands              = commands;
     result.params_bufs           = params_bufs_list;
-    result.set_rows_error_bufs   = set_rows_error_bufs;
+    result.num_kernels           = pipelines.size();
 #ifdef GGML_WEBGPU_GPU_PROFILE
     result.timestamp_query_bufs = ts_bufs;
     // TODO: handle multiple pipeline names
@@ -732,13 +722,13 @@ static webgpu_command ggml_backend_webgpu_build(webgpu_global_context &
                                                 std::vector<uint32_t>             params,
                                                 std::vector<wgpu::BindGroupEntry> bind_group_entries,
                                                 uint32_t                          wg_x,
-                                                uint32_t                          wg_y                = 1,
-                                                std::optional<webgpu_pool_bufs>   set_rows_error_bufs = std::nullopt) {
+                                                uint32_t                          wg_y = 1) {
     return ggml_backend_webgpu_build_multi(ctx, param_buf_pool,
                                            {
                                                pipeline
     },
-                                           { params }, { bind_group_entries }, { { wg_x, wg_y } }, set_rows_error_bufs);
+                                           { std::move(params) }, { std::move(bind_group_entries) },
+                                           { { wg_x, wg_y } });
 }
 
 static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx,
@@ -755,9 +745,9 @@ static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx,
 
     webgpu_command command =
         ggml_backend_webgpu_build(ctx, ctx->memset_buf_pool, ctx->memset_pipelines[0], params, entries, wg_x);
-    std::vector<webgpu_submission_futures> futures = { ggml_backend_webgpu_submit(ctx, { command },
-                                                                                  ctx->memset_buf_pool) };
-    ggml_backend_webgpu_wait(ctx, futures);
+    std::vector<webgpu_command>    commands = { command };
+    std::vector<webgpu_submission> sub      = { ggml_backend_webgpu_submit(ctx, commands, ctx->memset_buf_pool) };
+    ggml_backend_webgpu_wait(ctx, sub);
 }
 
 /** End WebGPU Actions */
@@ -804,7 +794,8 @@ static void ggml_backend_webgpu_free(ggml_backend_t backend) {
     std::cout << "\nggml_webgpu: gpu breakdown:\n";
     for (const auto & kv : ctx->webgpu_ctx->global_ctx->shader_gpu_time_ms) {
         double pct = (total_gpu > 0.0) ? (kv.second / total_gpu * 100.0) : 0.0;
-        std::cout << "ggml_webgpu:  " << kv.first << ": " << kv.second << " ms (" << pct << "%)\n";
+        std::cout << "ggml_webgpu:  " << kv.first << ": " << kv.second << " ms (" << std::fixed << std::setprecision(2)
+                  << pct << "%)\n";
     }
 #endif
 
@@ -855,6 +846,7 @@ static bool ggml_webgpu_tensor_overlap(ggml_tensor * a, ggml_tensor * b) {
 struct binary_overlap_flags {
     bool inplace;  // src0 == dst
     bool overlap;  // src1 == dst
+    bool src_overlap;
 };
 
 static binary_overlap_flags ggml_webgpu_detect_binary_overlap(ggml_tensor * src0,
@@ -863,6 +855,7 @@ static binary_overlap_flags ggml_webgpu_detect_binary_overlap(ggml_tensor * src0
     binary_overlap_flags flags = {};
     flags.inplace              = ggml_webgpu_tensor_equal(src0, dst);
     flags.overlap              = ggml_webgpu_tensor_overlap(src1, dst);
+    flags.src_overlap          = ggml_webgpu_tensor_overlap(src0, src1);
 
     return flags;
 }
@@ -900,24 +893,11 @@ static webgpu_command ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, g
 }
 
 static webgpu_command ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
-    const bool circular = ggml_get_op_params_i32(dst, 8) != 0;
-
-    ggml_webgpu_pad_pipeline_key       pipeline_key   = { .circular = circular };
-    ggml_webgpu_pad_shader_lib_context shader_lib_ctx = {
-        .key = pipeline_key, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->pad_pipelines.find(pipeline_key);
-    if (it != ctx->pad_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed = ggml_webgpu_preprocess_pad_shader(ctx->p, wgsl_pad, shader_lib_ctx);
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        pipeline.context = processed.decisions;
-        ctx->pad_pipelines.emplace(pipeline_key, pipeline);
-    }
+    webgpu_pipeline pipeline = ctx->shader_lib->get_pad_pipeline(shader_lib_ctx);
 
     auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
@@ -971,41 +951,22 @@ static std::optional<webgpu_command> ggml_webgpu_set_rows(webgpu_context & ctx,
                                                           ggml_tensor *    src,
                                                           ggml_tensor *    idx,
                                                           ggml_tensor *    dst) {
-    // For set rows specifically, we need to check if src and idx are empty tensors.
+    // For set rows specifically, we need to check if src and idx are empty
+    // tensors.
     if (ggml_is_empty(src) || ggml_is_empty(idx)) {
         return std::nullopt;
     }
 
-    ggml_webgpu_set_rows_pipeline_key key = { .dst_type = dst->type,
-                                              .vec4     = src->ne[0] % 4 == 0,
-                                              .i64_idx  = idx->type == GGML_TYPE_I64 };
-
-    ggml_webgpu_set_rows_shader_lib_context shader_lib_ctx = {
-        .key = key, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src,
+        .src1        = idx,
+        .dst         = dst,
+        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->set_rows_pipelines.find(key);
-    if (it != ctx->set_rows_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_set_rows_shader(ctx->p, wgsl_set_rows, shader_lib_ctx);
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        pipeline.context = processed.decisions;
-        ctx->set_rows_pipelines.emplace(key, pipeline);
-    }
-
-    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    webgpu_pipeline pipeline = ctx->shader_lib->get_set_rows_pipeline(shader_lib_ctx);
 
-    std::optional<webgpu_pool_bufs> error_bufs = std::nullopt;
-    if (key.i64_idx) {
-        error_bufs = ctx->set_rows_error_buf_pool.alloc_bufs();
-        if (error_bufs->host_buf.GetMapState() == wgpu::BufferMapState::Mapped) {
-            error_bufs->host_buf.Unmap();
-        }
-    }
+    auto * decisions = static_cast<ggml_webgpu_set_rows_shader_decisions *>(pipeline.context.get());
 
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
@@ -1038,42 +999,64 @@ static std::optional<webgpu_command> ggml_webgpu_set_rows(webgpu_context & ctx,
          .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
     };
 
-    if (key.i64_idx) {
-        entries.push_back(
-            { .binding = 3, .buffer = error_bufs->dev_buf, .offset = 0, .size = error_bufs->dev_buf.GetSize() });
+    if (decisions->i64_idx) {
+        entries.push_back({ .binding = 3,
+                            .buffer  = ctx->set_rows_dev_error_buf,
+                            .offset  = 0,
+                            .size    = ctx->set_rows_dev_error_buf.GetSize() });
     }
 
     uint32_t threads;
-    if (key.vec4) {
+    if (decisions->vec4) {
         threads = (src->ne[1] * src->ne[2] * src->ne[3]) * (src->ne[0] / 4);
     } else {
         threads = src->ne[0] * src->ne[1] * src->ne[2] * src->ne[3];
     }
     uint32_t wg_x = CEIL_DIV(threads, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, 1,
-                                     error_bufs);
+    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, 1);
+}
+
+// Workgroup size is a common constant
+static std::vector<wgpu::ConstantEntry> ggml_webgpu_wg_size_entry(uint32_t wg_size) {
+    std::vector<wgpu::ConstantEntry> constants(1);
+    constants[0].key   = "wg_size";
+    constants[0].value = wg_size;
+    return constants;
 }
 
 static webgpu_command ggml_webgpu_get_rows(webgpu_context & ctx,
                                            ggml_tensor *    src,
                                            ggml_tensor *    idx,
                                            ggml_tensor *    dst) {
-    std::vector<uint32_t> params = {
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, idx) / ggml_type_size(idx->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
-        // Convert byte-strides to element-strides
-        (uint32_t) (src->nb[1] / ggml_type_size(src->type)), (uint32_t) (src->nb[2] / ggml_type_size(src->type)),
-        (uint32_t) (src->nb[3] / ggml_type_size(src->type)), (uint32_t) (idx->nb[0] / ggml_type_size(idx->type)),
-        (uint32_t) (idx->nb[1] / ggml_type_size(idx->type)), (uint32_t) (idx->nb[2] / ggml_type_size(idx->type)),
-        (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)), (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
-        (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
-        // Shape of dst
-        (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3],
-        // Shape of idx
-        (uint32_t) (idx->ne[1]), (uint32_t) (idx->ne[2])
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src,
+        .src1        = nullptr,
+        .dst         = dst,
+        .max_wg_size = WEBGPU_MAX_WG_SIZE,
     };
 
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_get_rows_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
+    std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
+                                     (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, idx) / ggml_type_size(idx->type)),
+                                     (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+                                     (uint32_t) (src->nb[1] / ggml_type_size(src->type)),
+                                     (uint32_t) (src->nb[2] / ggml_type_size(src->type)),
+                                     (uint32_t) (src->nb[3] / ggml_type_size(src->type)),
+                                     (uint32_t) (idx->nb[0] / ggml_type_size(idx->type)),
+                                     (uint32_t) (idx->nb[1] / ggml_type_size(idx->type)),
+                                     (uint32_t) (idx->nb[2] / ggml_type_size(idx->type)),
+                                     (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
+                                     (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
+                                     (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
+                                     (uint32_t) dst->ne[0],
+                                     (uint32_t) dst->ne[1],
+                                     (uint32_t) dst->ne[2],
+                                     (uint32_t) dst->ne[3],
+                                     (uint32_t) (idx->ne[1]),
+                                     (uint32_t) (idx->ne[2]) };
+
     std::vector<wgpu::BindGroupEntry> entries = {
         { .binding = 0,
          .buffer  = ggml_webgpu_tensor_buf(src),
@@ -1089,10 +1072,8 @@ static webgpu_command ggml_webgpu_get_rows(webgpu_context & ctx,
          .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
     };
 
-    uint32_t wg_x = CEIL_DIV(dst->ne[1] * dst->ne[2] * dst->ne[3], WEBGPU_MAX_WG_SIZE);
+    uint32_t wg_x = CEIL_DIV(dst->ne[1] * dst->ne[2] * dst->ne[3], decisions->wg_size);
 
-    uint32_t        vectorized = src->type == GGML_TYPE_F32 && dst->ne[0] % 4 == 0;
-    webgpu_pipeline pipeline   = ctx->get_rows_pipelines[src->type][vectorized];
     return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
 }
 
@@ -1100,57 +1081,36 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
                                           ggml_tensor *    src0,
                                           ggml_tensor *    src1,
                                           ggml_tensor *    dst) {
-    std::vector<uint32_t> params = {
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
-        (uint32_t) dst->ne[0],                                  // number of rows in result (M, transposed)
-        (uint32_t) dst->ne[1],                                  // number of columns in result (N)
-        (uint32_t) src0->ne[0],                                 // number of columns in src0/src1 (K)
-        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),  // stride (elements/blocks) of src0 in dimension 1
-        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),  // stride (elements/blocks) of src1 in dimension 1
-        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),  // stride (elements/blocks) of src0 in dimension 2
-        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),  // stride (elements/blocks) of src1 in dimension 2
-        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),  // stride (elements/blocks) of src0 in dimension 3
-        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),  // stride (elements/blocks) of src1 in dimension 3
-        (uint32_t) src0->ne[2],                                 // batch size in dimension 2
-        (uint32_t) src0->ne[3],                                 // batch size in dimension 3
-        (uint32_t) (src1->ne[2] / src0->ne[2]),                 // broadcast in dimension 2
-        (uint32_t) (src1->ne[3] / src0->ne[3])                  // broadcast in dimension 3
-    };
-
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  },
-    };
-
-    webgpu_pipeline pipeline = ctx->mul_mat_pipelines[src0->type][src1->type][0];
-
-    uint32_t wg_x = CEIL_DIV(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3], WEBGPU_MUL_MAT_WG_SIZE);
-    uint32_t wg_y = 1;
+    // Determine if this is a mat-vec operation
+    bool is_vec = (dst->ne[1] == 1);
 
+    // Determine if we should use fast path
     bool use_fast = false;
     switch (src1->type) {
         case GGML_TYPE_F16:
             use_fast = (src0->type == GGML_TYPE_F16);
             break;
         case GGML_TYPE_F32:
+            // TODO: implement better mat-mat for k-quants, mat-vec for all k-quants except q6_K
             switch (src0->type) {
                 case GGML_TYPE_F32:
                 case GGML_TYPE_F16:
                 case GGML_TYPE_Q4_0:
+                case GGML_TYPE_Q4_1:
+                case GGML_TYPE_Q5_0:
+                case GGML_TYPE_Q5_1:
+                case GGML_TYPE_Q8_0:
+                case GGML_TYPE_Q8_1:
+                case GGML_TYPE_Q6_K:
                     use_fast = true;
                     break;
+                case GGML_TYPE_Q2_K:
+                case GGML_TYPE_Q3_K:
+                case GGML_TYPE_Q4_K:
+                case GGML_TYPE_Q5_K:
+                    // we don't have fast mat-vec for these types, but we do have (semi) fast mat-mat
+                    use_fast = !is_vec;
+                    break;
                 default:
                     break;
             }
@@ -1159,43 +1119,106 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx,
             break;
     }
 
-    if (use_fast) {
-        int vectorized = src0->ne[0] % 4 == 0 && dst->ne[0] % 4 == 0 && dst->ne[1] % 4 == 0;
-        if (dst->ne[1] == 1) {
-            // We don't support vectorized mul_mat_vec for quantized types
-            vectorized             = vectorized && (src0->type < 2);
-            pipeline               = ctx->mul_mat_vec_pipelines[src0->type][src1->type][vectorized];
-            uint32_t batches       = dst->ne[2] * dst->ne[3];
-            uint32_t output_groups = CEIL_DIV(dst->ne[0], WEBGPU_MUL_MAT_VEC_OUTPUTS_PER_WG);
-            uint32_t total_wg      = output_groups * batches;
-            wg_x                   = total_wg % ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
-            wg_y = CEIL_DIV(total_wg, ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension);
-        } else {
-            pipeline = ctx->mul_mat_pipelines[src0->type][src1->type][vectorized];
-            uint32_t wg_m;
-            uint32_t wg_n;
-#ifndef __EMSCRIPTEN__
-            if (ctx->global_ctx->capabilities.supports_subgroup_matrix) {
-                // The total number of subgroups/workgroups needed per matrix.
-                uint32_t wg_m_sg_tile = WEBGPU_MUL_MAT_SUBGROUP_M * WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M *
-                                        ctx->global_ctx->capabilities.sg_mat_m;
-                wg_m                  = CEIL_DIV(dst->ne[0], wg_m_sg_tile);
-                uint32_t wg_n_sg_tile = WEBGPU_MUL_MAT_SUBGROUP_N * WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N *
-                                        ctx->global_ctx->capabilities.sg_mat_n;
-                wg_n = CEIL_DIV(dst->ne[1], wg_n_sg_tile);
-            } else {
-#endif
-                uint32_t tile_m_s = WEBGPU_MUL_MAT_TILE_M * WEBGPU_MUL_MAT_WG_SIZE_M;
-                uint32_t tile_n_s = WEBGPU_MUL_MAT_TILE_N * WEBGPU_MUL_MAT_WG_SIZE_N;
-                wg_m              = CEIL_DIV(dst->ne[0], tile_m_s);
-                wg_n              = CEIL_DIV(dst->ne[1], tile_n_s);
-#ifndef __EMSCRIPTEN__
-            }
-#endif
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0                     = src0,
+        .src1                     = src1,
+        .dst                      = dst,
+        .max_wg_size              = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+        .supports_subgroup_matrix = ctx->global_ctx->capabilities.supports_subgroup_matrix,
+        .sg_mat_m                 = ctx->global_ctx->capabilities.sg_mat_m,
+        .sg_mat_n                 = ctx->global_ctx->capabilities.sg_mat_n,
+        .sg_mat_k                 = ctx->global_ctx->capabilities.sg_mat_k,
+        .max_subgroup_size        = ctx->global_ctx->capabilities.max_subgroup_size,
+    };
+
+    // Get or create pipeline
+    webgpu_pipeline pipeline;
+
+    if (use_fast && is_vec) {
+        pipeline = ctx->shader_lib->get_mul_mat_vec_pipeline(shader_lib_ctx);
+    } else if (use_fast) {
+        pipeline = ctx->shader_lib->get_mul_mat_fast_pipeline(shader_lib_ctx);
+    } else {
+        pipeline = ctx->shader_lib->get_mul_mat_legacy_pipeline(shader_lib_ctx);
+    }
+
+    // Build params
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        (uint32_t) dst->ne[0],
+        (uint32_t) dst->ne[1],
+        (uint32_t) src0->ne[0],
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),
+        (uint32_t) src0->ne[2],
+        (uint32_t) src0->ne[3],
+        (uint32_t) (src1->ne[2] / src0->ne[2]),
+        (uint32_t) (src1->ne[3] / src0->ne[3])
+    };
+
+    // Build bind group entries
+    std::vector<wgpu::BindGroupEntry> entries = {
+        { .binding = 0,
+         .buffer  = ggml_webgpu_tensor_buf(src0),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
+        { .binding = 1,
+         .buffer  = ggml_webgpu_tensor_buf(src1),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
+        { .binding = 2,
+         .buffer  = ggml_webgpu_tensor_buf(dst),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  },
+    };
 
-            wg_x = wg_m * wg_n * dst->ne[2] * dst->ne[3];
+    // Calculate workgroup dimensions
+    uint32_t       wg_x           = 1;
+    uint32_t       wg_y           = 1;
+    const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
+
+    if (use_fast && is_vec) {
+        auto * decisions = static_cast<ggml_webgpu_mul_mat_vec_shader_decisions *>(pipeline.context.get());
+
+        uint32_t batches       = dst->ne[2] * dst->ne[3];
+        uint32_t output_groups = CEIL_DIV(dst->ne[0], decisions->outputs_per_wg);
+        uint32_t total_wg      = output_groups * batches;
+        compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
+    } else if (use_fast) {
+        auto * decisions = static_cast<ggml_webgpu_mul_mat_shader_decisions *>(pipeline.context.get());
+
+        // Fast-path tiled/subgroup calculations
+        uint32_t wg_m;
+        uint32_t wg_n;
+        if (decisions->use_subgroup_matrix) {
+            uint32_t wg_m_sg_tile =
+                decisions->subgroup_m * decisions->subgroup_matrix_m * ctx->global_ctx->capabilities.sg_mat_m;
+            wg_m = CEIL_DIV(dst->ne[0], wg_m_sg_tile);
+            uint32_t wg_n_sg_tile =
+                decisions->subgroup_n * decisions->subgroup_matrix_n * ctx->global_ctx->capabilities.sg_mat_n;
+            wg_n = CEIL_DIV(dst->ne[1], wg_n_sg_tile);
+        } else {
+            uint32_t tile_m_s = decisions->tile_m * decisions->wg_size_m;
+            uint32_t tile_n_s = decisions->tile_n * decisions->wg_size_n;
+            wg_m              = CEIL_DIV(dst->ne[0], tile_m_s);
+            wg_n              = CEIL_DIV(dst->ne[1], tile_n_s);
         }
+        uint32_t total_wg = wg_m * wg_n * dst->ne[2] * dst->ne[3];
+        compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
+
+    } else {  // legacy
+        auto *   decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+        uint32_t wg_size   = decisions->wg_size;
+        uint32_t total_wg  = CEIL_DIV(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3], wg_size);
+        compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
     }
+
     return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, wg_y);
 }
 
@@ -1283,40 +1306,22 @@ static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx,
                         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
                         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
 
-    bool kv_direct = (K->type == GGML_TYPE_F16) && (Q->ne[0] % ctx->global_ctx->capabilities.sg_mat_k == 0) &&
-                     (K->ne[1] % GGML_WEBGPU_KV_SEQ_PAD == 0);
-
-    ggml_webgpu_flash_attn_pipeline_key key = {
-        .kv_type            = K->type,
-        .head_dim_qk        = (uint32_t) Q->ne[0],
-        .head_dim_v         = (uint32_t) V->ne[0],
-        .kv_direct          = kv_direct,
-        .has_mask           = static_cast<bool>(has_mask),
-        .has_sinks          = static_cast<bool>(has_sinks),
-        .uses_logit_softcap = logit_softcap != 0.0f,
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0               = Q,
+        .src1               = K,
+        .src2               = V,
+        .src3               = mask,
+        .src4               = sinks,
+        .dst                = dst,
+        .max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+        .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
+        .sg_mat_m           = ctx->global_ctx->capabilities.sg_mat_m,
+        .sg_mat_n           = ctx->global_ctx->capabilities.sg_mat_n,
+        .sg_mat_k           = ctx->global_ctx->capabilities.sg_mat_k,
+        .max_subgroup_size  = ctx->global_ctx->capabilities.max_subgroup_size,
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->flash_attn_pipelines.find(key);
-    if (it != ctx->flash_attn_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_flash_attn_shader_lib_context shader_lib_ctx = {
-            .key                = key,
-            .sg_mat_m           = ctx->global_ctx->capabilities.sg_mat_m,
-            .sg_mat_n           = ctx->global_ctx->capabilities.sg_mat_n,
-            .sg_mat_k           = ctx->global_ctx->capabilities.sg_mat_k,
-            .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-            .max_subgroup_size  = ctx->global_ctx->capabilities.max_subgroup_size
-        };
-
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_flash_attn_shader(ctx->p, wgsl_flash_attn, shader_lib_ctx);
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        pipeline.context = processed.decisions;
-        ctx->flash_attn_pipelines.emplace(key, pipeline);
-    }
+    webgpu_pipeline pipeline = ctx->shader_lib->get_flash_attn_pipeline(shader_lib_ctx);
 
     auto * decisions = static_cast<ggml_webgpu_flash_attn_shader_decisions *>(pipeline.context.get());
 
@@ -1329,27 +1334,16 @@ static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx,
 static webgpu_command ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool is_unary = dst->op == GGML_OP_UNARY;
     bool inplace  = ggml_webgpu_tensor_equal(src, dst) || (dst->op == GGML_OP_FILL);
-    int  op       = is_unary ? (int) ggml_get_unary_op(dst) : dst->op;
 
-    ggml_webgpu_unary_pipeline_key pipeline_key = {
-        .type = dst->type, .op = op, .is_unary = is_unary, .inplace = inplace
-    };
-    ggml_webgpu_unary_shader_lib_context shader_lib_ctx = {
-        .key = pipeline_key, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src,
+        .src1        = nullptr,
+        .dst         = dst,
+        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+        .inplace     = inplace,
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->unary_pipelines.find(pipeline_key);
-    if (it != ctx->unary_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_unary_shader(ctx->p, wgsl_unary, shader_lib_ctx);
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        pipeline.context = processed.decisions;
-        ctx->unary_pipelines.emplace(pipeline_key, pipeline);
-    }
+    webgpu_pipeline pipeline = ctx->shader_lib->get_unary_pipeline(shader_lib_ctx);
 
     auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
@@ -1421,38 +1415,44 @@ static webgpu_command ggml_webgpu_binary_op(webgpu_context & ctx,
                                             ggml_tensor *    dst) {
     binary_overlap_flags flags = ggml_webgpu_detect_binary_overlap(src0, src1, dst);
 
-    ggml_webgpu_binary_pipeline_key pipeline_key = {
-        .type    = dst->type,
-        .op      = dst->op,
-        .inplace = flags.inplace,
-        .overlap = flags.overlap,
-    };
-    ggml_webgpu_binary_shader_lib_context shader_lib_ctx = {
-        .key = pipeline_key, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src0,
+        .src1        = src1,
+        .dst         = dst,
+        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+        .inplace     = flags.inplace,
+        .overlap     = flags.overlap,
+        .src_overlap = flags.src_overlap,
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->binary_pipelines.find(pipeline_key);
-    if (it != ctx->binary_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_binary_shader(ctx->p, wgsl_binary, shader_lib_ctx);
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        pipeline.context = processed.decisions;
-        ctx->binary_pipelines.emplace(pipeline_key, pipeline);
-    }
+    webgpu_pipeline pipeline = ctx->shader_lib->get_binary_pipeline(shader_lib_ctx);
 
-    auto * decisions = static_cast<ggml_webgpu_argsort_shader_decisions *>(pipeline.context.get());
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
     uint32_t ne = (uint32_t) ggml_nelements(dst);
 
+    size_t src0_webgpu_tensor_align_offset = ggml_webgpu_tensor_align_offset(ctx, src0);
+    size_t src1_webgpu_tensor_align_offset = ggml_webgpu_tensor_align_offset(ctx, src1);
+
+    uint32_t offset_merged_src0 = 0;
+    uint32_t offset_merged_src1 = 0;
+    if (flags.src_overlap) {
+        size_t min_off     = std::min(src0_webgpu_tensor_align_offset, src1_webgpu_tensor_align_offset);
+        offset_merged_src0 = (uint32_t) ((src0_webgpu_tensor_align_offset - min_off) / ggml_type_size(src0->type));
+        offset_merged_src1 = (uint32_t) ((src1_webgpu_tensor_align_offset - min_off) / ggml_type_size(src0->type));
+    }
+
     std::vector<uint32_t> params = {
         ne,
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        offset_merged_src0,
+        offset_merged_src1,
+        (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
         (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)),
         (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
         (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
@@ -1468,31 +1468,147 @@ static webgpu_command ggml_webgpu_binary_op(webgpu_context & ctx,
 
     std::vector<wgpu::BindGroupEntry> entries;
 
-    entries.push_back({
-        .binding = 0,
-        .buffer  = ggml_webgpu_tensor_buf(src0),
-        .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-        .size    = ggml_webgpu_tensor_binding_size(ctx, src0),
-    });
-
-    entries.push_back({
-        .binding = 1,
-        .buffer  = ggml_webgpu_tensor_buf(src1),
-        .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-        .size    = ggml_webgpu_tensor_binding_size(ctx, src1),
-    });
-
-    if (!flags.inplace && !flags.overlap) {
-        entries.push_back({ .binding = 2,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+    if (flags.src_overlap) {
+        size_t merged_offset = std::min(src0_webgpu_tensor_align_offset, src1_webgpu_tensor_align_offset);
+        size_t merged_end    = std::max(src0_webgpu_tensor_align_offset + ggml_webgpu_tensor_binding_size(ctx, src0),
+                                        src1_webgpu_tensor_align_offset + ggml_webgpu_tensor_binding_size(ctx, src1));
+        entries.push_back({
+            .binding = 0,
+            .buffer  = ggml_webgpu_tensor_buf(src0),
+            .offset  = merged_offset,
+            .size    = merged_end - merged_offset,
+        });
+        entries.push_back({
+            .binding = 1,
+            .buffer  = ggml_webgpu_tensor_buf(dst),
+            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
+            .size    = ggml_webgpu_tensor_binding_size(ctx, dst),
+        });
+    } else {
+        entries.push_back({
+            .binding = 0,
+            .buffer  = ggml_webgpu_tensor_buf(src0),
+            .offset  = src0_webgpu_tensor_align_offset,
+            .size    = ggml_webgpu_tensor_binding_size(ctx, src0),
+        });
+        entries.push_back({
+            .binding = 1,
+            .buffer  = ggml_webgpu_tensor_buf(src1),
+            .offset  = src1_webgpu_tensor_align_offset,
+            .size    = ggml_webgpu_tensor_binding_size(ctx, src1),
+        });
+        if (!flags.inplace && !flags.overlap) {
+            entries.push_back({
+                .binding = 2,
+                .buffer  = ggml_webgpu_tensor_buf(dst),
+                .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
+                .size    = ggml_webgpu_tensor_binding_size(ctx, dst),
+            });
+        }
     }
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
     return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
 }
 
+static webgpu_command ggml_webgpu_concat(webgpu_context & ctx,
+                                         ggml_tensor *    src0,
+                                         ggml_tensor *    src1,
+                                         ggml_tensor *    dst) {
+    uint32_t ne  = (uint32_t) ggml_nelements(dst);
+    uint32_t dim = (uint32_t) dst->op_params[0];
+
+    std::vector<uint32_t> params = {
+        ne,
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),
+        (uint32_t) dst->ne[0],
+        (uint32_t) dst->ne[1],
+        (uint32_t) dst->ne[2],
+        (uint32_t) dst->ne[3],
+        dim,
+        (uint32_t) src0->ne[dim]
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        { .binding = 0,
+         .buffer  = ggml_webgpu_tensor_buf(src0),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
+        { .binding = 1,
+         .buffer  = ggml_webgpu_tensor_buf(src1),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
+        { .binding = 2,
+         .buffer  = ggml_webgpu_tensor_buf(dst),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+    };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src0,
+        .src1        = src1,
+        .dst         = dst,
+        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+    };
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_concat_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+}
+
+static webgpu_command ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * dst) {
+    uint32_t ne = (uint32_t) ggml_nelements(dst);
+
+    std::vector<uint32_t> params = { ne,
+                                     (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) /
+                                                 ggml_type_size(src0->type)),
+                                     (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+                                     (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
+                                     (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+                                     (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+                                     (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+                                     (uint32_t) (src0->ne[0]),
+                                     (uint32_t) (src0->ne[1]),
+                                     (uint32_t) (src0->ne[2]),
+                                     (uint32_t) (src0->ne[3]),
+                                     (uint32_t) (dst->ne[0]),
+                                     (uint32_t) (dst->ne[1]),
+                                     (uint32_t) (dst->ne[2]) };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        { .binding = 0,
+         .buffer  = ggml_webgpu_tensor_buf(src0),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
+        { .binding = 1,
+         .buffer  = ggml_webgpu_tensor_buf(dst),
+         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
+         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+    };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src0,
+        .dst         = dst,
+        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+    };
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_repeat_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
+}
+
 static webgpu_command ggml_webgpu_rms_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     int inplace = ggml_webgpu_tensor_equal(src, dst);
 
@@ -1541,7 +1657,12 @@ static webgpu_command ggml_webgpu_rope(webgpu_context & ctx,
     const int mode       = ((int32_t *) dst->op_params)[2];
     const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
-    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
+    float freq_base;
+    float freq_scale;
+    float ext_factor;
+    float attn_factor;
+    float beta_fast;
+    float beta_slow;
     memcpy(&freq_base, (int32_t *) dst->op_params + 5, sizeof(float));
     memcpy(&freq_scale, (int32_t *) dst->op_params + 6, sizeof(float));
     memcpy(&ext_factor, (int32_t *) dst->op_params + 7, sizeof(float));
@@ -1669,8 +1790,20 @@ static webgpu_command ggml_webgpu_glu(webgpu_context & ctx, ggml_tensor * src0,
 }
 
 static webgpu_command ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
-    int inplace = ggml_webgpu_tensor_equal(src, dst);
+    bool inplace = ggml_webgpu_tensor_equal(src, dst);
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src,
+        .src1        = nullptr,
+        .dst         = dst,
+        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+        .inplace     = inplace,
+    };
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_scale_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
+    // params unchanged
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
@@ -1688,12 +1821,14 @@ static webgpu_command ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src,
         *(uint32_t *) &dst->op_params[1]  // bias
     };
 
+    // bindgroups unchanged
     std::vector<wgpu::BindGroupEntry> entries = {
         { .binding = 0,
          .buffer  = ggml_webgpu_tensor_buf(src),
          .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
          .size    = ggml_webgpu_tensor_binding_size(ctx, src) }
     };
+
     if (!inplace) {
         entries.push_back({ .binding = 1,
                             .buffer  = ggml_webgpu_tensor_buf(dst),
@@ -1701,9 +1836,8 @@ static webgpu_command ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src,
                             .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
     }
 
-    uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), WEBGPU_MAX_WG_SIZE);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, ctx->scale_pipelines[inplace], params,
-                                     entries, wg_x);
+    uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
 }
 
 static webgpu_command ggml_webgpu_soft_max(webgpu_context & ctx,
@@ -1796,63 +1930,30 @@ static webgpu_command ggml_webgpu_argmax(webgpu_context & ctx, ggml_tensor * src
          .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
     };
 
-    ggml_webgpu_generic_shader_lib_context shader_lib_ctx = {
-        .vec4        = src->ne[0] % 4 == 0,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->argmax_pipelines.find(shader_lib_ctx.vec4);
-    if (it != ctx->argmax_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_generic_shader(ctx->p, wgsl_argmax, shader_lib_ctx, "argmax");
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        ctx->argmax_pipelines.emplace(shader_lib_ctx.vec4, pipeline);
-    }
-    uint32_t wg_x = ggml_nelements(dst);
+    webgpu_pipeline pipeline = ctx->shader_lib->get_argmax_pipeline(shader_lib_ctx);
+    uint32_t        wg_x     = ggml_nelements(dst);
     return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
 }
 
 static webgpu_command ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
-    bool          is_top_k = dst->op == GGML_OP_TOP_K;
-    // ascending order is 0, descending order is 1
-    const int32_t order    = is_top_k ? (int32_t) GGML_SORT_ORDER_DESC : (int32_t) ggml_get_op_params_i32(dst, 0);
+    bool is_top_k = dst->op == GGML_OP_TOP_K;
 
-    ggml_webgpu_argsort_shader_lib_context shader_lib_ctx = {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0               = src,
+        .src1               = nullptr,
+        .dst                = dst,
         .max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
         .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-        .order              = order
     };
 
-    webgpu_pipeline argsort_pipeline;
-    auto            it = ctx->argsort_pipelines.find(order);
-    if (it != ctx->argsort_pipelines.end()) {
-        argsort_pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_argsort_shader(ctx->p, wgsl_argsort, shader_lib_ctx);
-        argsort_pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        argsort_pipeline.context = processed.decisions;
-        ctx->argsort_pipelines.emplace(order, argsort_pipeline);
-    }
-    auto * argsort_decisions = static_cast<ggml_webgpu_argsort_shader_decisions *>(argsort_pipeline.context.get());
-
-    webgpu_pipeline argsort_merge_pipeline;
-    it = ctx->argsort_merge_pipelines.find(order);
-    if (it != ctx->argsort_merge_pipelines.end()) {
-        argsort_merge_pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_argsort_merge_shader(ctx->p, wgsl_argsort_merge, shader_lib_ctx);
-        argsort_merge_pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        argsort_merge_pipeline.context = processed.decisions;
-        ctx->argsort_merge_pipelines.emplace(order, argsort_merge_pipeline);
-    }
+    webgpu_pipeline argsort_pipeline = ctx->shader_lib->get_argsort_pipeline(shader_lib_ctx);
+    auto * argsort_decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(argsort_pipeline.context.get());
+
+    webgpu_pipeline argsort_merge_pipeline = ctx->shader_lib->get_argsort_merge_pipeline(shader_lib_ctx);
 
     const uint32_t src_ne0 = (uint32_t) src->ne[0];
     const uint32_t nrows   = (uint32_t) ggml_nrows(src);
@@ -2011,22 +2112,15 @@ static webgpu_command ggml_webgpu_cumsum(webgpu_context & ctx, ggml_tensor * src
          .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
     };
 
-    ggml_webgpu_generic_shader_lib_context shader_lib_ctx = {
-        .vec4        = false,
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0        = src,
+        .src1        = nullptr,
+        .dst         = dst,
         .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
     };
-    webgpu_pipeline pipeline;
-    auto            it = ctx->cumsum_pipelines.find(1);
-    if (it != ctx->cumsum_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_generic_shader(ctx->p, wgsl_cumsum, shader_lib_ctx, "cumsum");
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        ctx->cumsum_pipelines.emplace(1, pipeline);
-    }
-    uint32_t wg_x = ggml_nrows(dst);
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_cumsum_pipeline(shader_lib_ctx);
+    uint32_t        wg_x     = ggml_nrows(dst);
     return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
 }
 
@@ -2052,22 +2146,12 @@ static webgpu_command ggml_webgpu_sum_rows(webgpu_context & ctx, ggml_tensor * s
          .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
     };
 
-    ggml_webgpu_generic_shader_lib_context shader_lib_ctx = {
-        .vec4        = false,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {
+        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
     };
 
-    webgpu_pipeline pipeline;
-    auto            it = ctx->sum_rows_pipelines.find(1);
-    if (it != ctx->sum_rows_pipelines.end()) {
-        pipeline = it->second;
-    } else {
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_generic_shader(ctx->p, wgsl_sum_rows, shader_lib_ctx, "sum_rows");
-        pipeline =
-            ggml_webgpu_create_pipeline(ctx->global_ctx->device, processed.wgsl.c_str(), processed.variant.c_str());
-        ctx->sum_rows_pipelines.emplace(1, pipeline);
-    }
+    webgpu_pipeline pipeline = ctx->shader_lib->get_sum_rows_pipeline(shader_lib_ctx);
+
     uint32_t wg_x = total_sum ? 1 : ggml_nrows(dst);
     return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
 }
@@ -2114,6 +2198,10 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
         case GGML_OP_MUL:
         case GGML_OP_DIV:
             return ggml_webgpu_binary_op(ctx, src0, src1, node);
+        case GGML_OP_CONCAT:
+            return ggml_webgpu_concat(ctx, src0, src1, node);
+        case GGML_OP_REPEAT:
+            return ggml_webgpu_repeat(ctx, src0, node);
         case GGML_OP_RMS_NORM:
             return ggml_webgpu_rms_norm(ctx, src0, node);
         case GGML_OP_ROPE:
@@ -2125,19 +2213,19 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
         case GGML_OP_SOFT_MAX:
             return ggml_webgpu_soft_max(ctx, src0, src1, src2, node);
         case GGML_OP_UNARY:
-            return ggml_webgpu_unary_op(ctx, src0, node);
         case GGML_OP_CLAMP:
-            return ggml_webgpu_unary_op(ctx, src0, node);
         case GGML_OP_FILL:
-            return ggml_webgpu_unary_op(ctx, src0, node);
         case GGML_OP_LOG:
+        case GGML_OP_SQR:
+        case GGML_OP_SQRT:
+        case GGML_OP_SIN:
+        case GGML_OP_COS:
             return ggml_webgpu_unary_op(ctx, src0, node);
         case GGML_OP_PAD:
             return ggml_webgpu_pad(ctx, src0, node);
         case GGML_OP_ARGMAX:
             return ggml_webgpu_argmax(ctx, src0, node);
         case GGML_OP_ARGSORT:
-            return ggml_webgpu_argsort(ctx, src0, node);
         case GGML_OP_TOP_K:
             // we reuse the same argsort implementation for top_k
             return ggml_webgpu_argsort(ctx, src0, node);
@@ -2159,35 +2247,51 @@ static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, str
 
     WEBGPU_CPU_PROFILE_TOTAL_START(graph_compute);
 
-    ctx->global_ctx->inflight_threads++;
+    std::vector<webgpu_command>    commands;
+    std::vector<webgpu_submission> subs;
+    uint32_t                       num_batched_kernels = 0;
+    bool                           contains_set_rows   = false;
 
-    std::vector<webgpu_command>            commands;
-    std::vector<webgpu_submission_futures> futures;
     for (int i = 0; i < cgraph->n_nodes; i++) {
+        if (cgraph->nodes[i]->op == GGML_OP_SET_ROWS) {
+            contains_set_rows = true;
+        }
         if (auto cmd = ggml_webgpu_encode_node(ctx, cgraph->nodes[i])) {
             commands.push_back(*cmd);
+            num_batched_kernels += cmd.value().num_kernels;
         }
-        // compute the batch size based on the number of inflight threads
-        uint32_t inflight_threads = ctx->global_ctx->inflight_threads;
-        uint32_t batch_size       = std::min(std::max(1u, WEBGPU_NUM_PARAM_BUFS / std::max(inflight_threads, 1u)),
-                                             WEBGPU_COMMAND_SUBMIT_BATCH_SIZE);
-        if (commands.size() >= batch_size) {
-            futures.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool,
-                                                         &ctx->set_rows_error_buf_pool));
+
+        if (num_batched_kernels >= WEBGPU_COMMAND_SUBMIT_BATCH_SIZE) {
+            num_batched_kernels = 0;
+            subs.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool));
             // Process events and check for completed submissions
             ctx->global_ctx->instance.ProcessEvents();
-            ggml_backend_webgpu_wait(ctx->global_ctx, futures, false);
+            ggml_backend_webgpu_wait(ctx->global_ctx, subs, false);
             commands.clear();
         }
     }
     if (!commands.empty()) {
-        webgpu_submission_futures new_futures =
-            ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool, &ctx->set_rows_error_buf_pool);
-        futures.push_back(new_futures);
+        subs.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool));
+        commands.clear();
+    }
+
+    // If there are SET_ROWS operations in this graph, copy the error buffers to the host for checking.
+    if (contains_set_rows) {
+        wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
+        encoder.CopyBufferToBuffer(ctx->set_rows_dev_error_buf, 0, ctx->set_rows_host_error_buf, 0,
+                                   ctx->set_rows_host_error_buf.GetSize());
+        wgpu::CommandBuffer set_rows_commands = encoder.Finish();
+        ctx->global_ctx->queue.Submit(1, &set_rows_commands);
+        ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->set_rows_host_error_buf, wgpu::MapMode::Read, 0,
+                                       ctx->set_rows_host_error_buf.GetSize());
+        const uint32_t * error_data = (const uint32_t *) ctx->set_rows_host_error_buf.GetConstMappedRange();
+        if (*error_data) {
+            GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported.");
+        }
+        ctx->set_rows_host_error_buf.Unmap();
     }
 
-    ggml_backend_webgpu_wait(ctx->global_ctx, futures);
-    ctx->global_ctx->inflight_threads--;
+    ggml_backend_webgpu_wait(ctx->global_ctx, subs);
     WEBGPU_CPU_PROFILE_TOTAL_END(graph_compute, ctx->global_ctx);
     return GGML_STATUS_SUCCESS;
 }
@@ -2233,7 +2337,9 @@ static void ggml_backend_webgpu_buffer_memset_tensor(ggml_backend_buffer_t buffe
                                                      size_t                offset,
                                                      size_t                size) {
     if (size == 0) {
-        WEBGPU_LOG_DEBUG("ggml_backend_webgpu_buffer_memset_tensor: size is zero, nothing to do.");
+        WEBGPU_LOG_DEBUG(
+            "ggml_backend_webgpu_buffer_memset_tensor: size is zero, "
+            "nothing to do.");
         return;
     }
 
@@ -2310,7 +2416,8 @@ static void ggml_backend_webgpu_buffer_get_tensor(ggml_backend_buffer_t buffer,
 
     size_t final_size = size;
     if (size % 4 != 0) {
-        // If size is not a multiple of 4, we need to round it up to the next multiple of 4
+        // If size is not a multiple of 4, we need to round it up to the next
+        // multiple of 4
         final_size = size + (4 - (size % 4));
     }
 
@@ -2364,7 +2471,8 @@ static ggml_backend_buffer_i ggml_backend_webgpu_buffer_interface = {
     /* .get_tensor      = */ ggml_backend_webgpu_buffer_get_tensor,
     /* .cpy_tensor      = */ NULL,  // TODO: optional, implement this
     /* .clear           = */ ggml_backend_webgpu_buffer_clear,
-    /* .reset           = */ NULL,  // TODO: optional, think it coordinates with .init_tensor
+    /* .reset           = */ NULL,  // TODO: optional, think it coordinates with
+                                    // .init_tensor
 };
 
 /* End GGML Backend Buffer Interface */
@@ -2401,7 +2509,8 @@ static size_t ggml_backend_webgpu_buffer_type_get_alignment(ggml_backend_buffer_
     return dev_ctx->webgpu_global_ctx->capabilities.limits.minStorageBufferOffsetAlignment;
 }
 
-// maxBufferSize might be larger, but you can't bind more than maxStorageBufferBindingSize to a single binding.
+// maxBufferSize might be larger, but you can't bind more than
+// maxStorageBufferBindingSize to a single binding.
 static size_t ggml_backend_webgpu_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) {
     ggml_backend_webgpu_device_context * dev_ctx =
         static_cast<ggml_backend_webgpu_device_context *>(buft->device->context);
@@ -2487,14 +2596,6 @@ static ggml_guid_t ggml_backend_webgpu_guid(void) {
     return reinterpret_cast<ggml_guid_t>((void *) guid_str);
 }
 
-// Workgroup size is a common constant
-static std::vector<wgpu::ConstantEntry> ggml_webgpu_wg_size_entry(uint32_t wg_size) {
-    std::vector<wgpu::ConstantEntry> constants(1);
-    constants[0].key   = "wg_size";
-    constants[0].value = wg_size;
-    return constants;
-}
-
 static void ggml_webgpu_init_memset_pipeline(webgpu_global_context & ctx) {
     // we use the maximum workgroup size for the memset pipeline
     size_t max_threads = WEBGPU_MAX_WG_SIZE * ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
@@ -2509,207 +2610,6 @@ static void ggml_webgpu_init_memset_pipeline(webgpu_global_context & ctx) {
     ctx->memset_pipelines[0] = ggml_webgpu_create_pipeline(ctx->device, wgsl_memset, "memset", constants);
 }
 
-static void ggml_webgpu_init_mul_mat_pipeline(webgpu_context & webgpu_ctx) {
-    // Q4/Q5/Q8 classic quantizations
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q4_0][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q4_0_f32, "mul_mat_q4_0_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q4_1][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q4_1_f32, "mul_mat_q4_1_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q5_0][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q5_0_f32, "mul_mat_q5_0_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q5_1][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q5_1_f32, "mul_mat_q5_1_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q8_0][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q8_0_f32, "mul_mat_q8_0_f32");
-
-    // K-quantizations
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q2_K][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q2_k_f32, "mul_mat_q2_k_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q3_K][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q3_k_f32, "mul_mat_q3_k_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q4_K][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q4_k_f32, "mul_mat_q4_k_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q5_K][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q5_k_f32, "mul_mat_q5_k_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q6_K][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_q6_k_f32, "mul_mat_q6_k_f32");
-
-    // IQ quantizations (2-, 3-, 4-bit variants)
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ2_XXS][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq2_xxs_f32, "mul_mat_iq2_xxs_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ2_XS][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq2_xs_f32, "mul_mat_iq2_xs_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ2_S][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq2_s_f32, "mul_mat_iq2_s_f32");
-
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ3_XXS][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq3_xxs_f32, "mul_mat_iq3_xxs_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ3_S][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq3_s_f32, "mul_mat_iq3_s_f32");
-
-    // 1-bit and 4-bit IQ variants
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ1_S][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq1_s_f32, "mul_mat_iq1_s_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ1_M][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq1_m_f32, "mul_mat_iq1_m_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ4_NL][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq4_nl_f32, "mul_mat_iq4_nl_f32");
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_IQ4_XS][GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_mul_mat_iq4_xs_f32, "mul_mat_iq4_xs_f32");
-
-    std::string proc_mul_mat_f32_f32;
-    std::string proc_mul_mat_f32_f32_vec;
-    std::string proc_mul_mat_f16_f32;
-    std::string proc_mul_mat_f16_f32_vec;
-    std::string proc_mul_mat_f16_f16;
-    std::string proc_mul_mat_f16_f16_vec;
-    std::string proc_mul_mat_q4_0_f32;
-    std::string proc_mul_mat_q4_0_f32_vec;
-
-    std::vector<wgpu::ConstantEntry> mul_mat_constants;
-#ifndef __EMSCRIPTEN__
-    if (webgpu_ctx->global_ctx->capabilities.supports_subgroup_matrix) {
-        std::map<std::string, std::string> sg_matrix_repls;
-        sg_matrix_repls["WEBGPU_MAX_SUBGROUP_SIZE"] =
-            std::to_string(webgpu_ctx->global_ctx->capabilities.max_subgroup_size);
-        sg_matrix_repls["WEBGPU_TILE_K"]            = std::to_string(WEBGPU_MUL_MAT_TILE_K);
-        sg_matrix_repls["WEBGPU_SUBGROUP_M"]        = std::to_string(WEBGPU_MUL_MAT_SUBGROUP_M);
-        sg_matrix_repls["WEBGPU_SUBGROUP_N"]        = std::to_string(WEBGPU_MUL_MAT_SUBGROUP_N);
-        sg_matrix_repls["WEBGPU_SUBGROUP_MATRIX_M"] = std::to_string(WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M);
-        sg_matrix_repls["WEBGPU_SUBGROUP_MATRIX_N"] = std::to_string(WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N);
-        sg_matrix_repls["WEBGPU_SG_MAT_M_SIZE"]     = std::to_string(webgpu_ctx->global_ctx->capabilities.sg_mat_m);
-        sg_matrix_repls["WEBGPU_SG_MAT_N_SIZE"]     = std::to_string(webgpu_ctx->global_ctx->capabilities.sg_mat_n);
-        sg_matrix_repls["WEBGPU_SG_MAT_K_SIZE"]     = std::to_string(webgpu_ctx->global_ctx->capabilities.sg_mat_k);
-        proc_mul_mat_f32_f32 = ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_f32_f32, sg_matrix_repls);
-        proc_mul_mat_f32_f32_vec =
-            ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_f32_f32_vec, sg_matrix_repls);
-        proc_mul_mat_f16_f32 = ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_f16_f32, sg_matrix_repls);
-        proc_mul_mat_f16_f32_vec =
-            ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_f16_f32_vec, sg_matrix_repls);
-        proc_mul_mat_f16_f16 = ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_f16_f16, sg_matrix_repls);
-        proc_mul_mat_f16_f16_vec =
-            ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_f16_f16_vec, sg_matrix_repls);
-        proc_mul_mat_q4_0_f32 =
-            ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_q4_0_f32, sg_matrix_repls);
-        proc_mul_mat_q4_0_f32_vec =
-            ggml_webgpu_process_shader_repls(wgsl_mul_mat_subgroup_matrix_q4_0_f32_vec, sg_matrix_repls);
-    } else {
-#endif
-        mul_mat_constants.push_back({ .key = "TILE_K", .value = WEBGPU_MUL_MAT_TILE_K });
-        mul_mat_constants.push_back({ .key = "WORKGROUP_SIZE_M", .value = WEBGPU_MUL_MAT_WG_SIZE_M });
-        mul_mat_constants.push_back({ .key = "WORKGROUP_SIZE_N", .value = WEBGPU_MUL_MAT_WG_SIZE_N });
-
-        std::map<std::string, std::string> reg_repls;
-        reg_repls["WEBGPU_TILE_M"] = std::to_string(WEBGPU_MUL_MAT_TILE_M);
-        reg_repls["WEBGPU_TILE_N"] = std::to_string(WEBGPU_MUL_MAT_TILE_N);
-
-        proc_mul_mat_f32_f32      = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_f32_f32, reg_repls);
-        proc_mul_mat_f32_f32_vec  = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_f32_f32_vec, reg_repls);
-        proc_mul_mat_f16_f32      = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_f16_f32, reg_repls);
-        proc_mul_mat_f16_f32_vec  = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_f16_f32_vec, reg_repls);
-        proc_mul_mat_f16_f16      = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_f16_f16, reg_repls);
-        proc_mul_mat_f16_f16_vec  = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_f16_f16_vec, reg_repls);
-        proc_mul_mat_q4_0_f32     = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_q4_0_f32, reg_repls);
-        proc_mul_mat_q4_0_f32_vec = ggml_webgpu_process_shader_repls(wgsl_mul_mat_reg_tile_q4_0_f32_vec, reg_repls);
-#ifndef __EMSCRIPTEN__
-    }
-#endif
-
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_F32][GGML_TYPE_F32][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_f32_f32.c_str(), "mul_mat_f32_f32", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_F32][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_f32_f32_vec.c_str(), "mul_mat_f32_f32_vec", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_F16][GGML_TYPE_F32][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_f16_f32.c_str(), "mul_mat_f16_f32", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_F16][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_f16_f32_vec.c_str(), "mul_mat_f16_f32_vec", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_F16][GGML_TYPE_F16][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_f16_f16.c_str(), "mul_mat_f16_f16", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_F16][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_f16_f16_vec.c_str(), "mul_mat_f16_f16_vec", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q4_0][GGML_TYPE_F32][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_q4_0_f32.c_str(), "mul_mat_q4_0_f32", mul_mat_constants);
-    webgpu_ctx->mul_mat_pipelines[GGML_TYPE_Q4_0][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, proc_mul_mat_q4_0_f32_vec.c_str(), "mul_mat_q4_0_f32_vec", mul_mat_constants);
-
-    std::vector<wgpu::ConstantEntry> mul_mat_vec_constants(3);
-    mul_mat_vec_constants[0].key   = "WORKGROUP_SIZE";
-    mul_mat_vec_constants[0].value = WEBGPU_MUL_MAT_VEC_WG_SIZE;
-    mul_mat_vec_constants[1].key   = "TILE_K";
-    mul_mat_vec_constants[1].value = WEBGPU_MUL_MAT_VEC_TILE_K;
-    mul_mat_vec_constants[2].key   = "OUTPUTS_PER_WG";
-    mul_mat_vec_constants[2].value = WEBGPU_MUL_MAT_VEC_OUTPUTS_PER_WG;
-
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_F32][GGML_TYPE_F32][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_f32_f32, "mul_mat_vec_f32_f32", mul_mat_vec_constants);
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_F32][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_f32_f32_vec, "mul_mat_vec_f32_f32_vec", mul_mat_vec_constants);
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_F16][GGML_TYPE_F32][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_f16_f32, "mul_mat_vec_f16_f32", mul_mat_vec_constants);
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_F16][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_f16_f32_vec, "mul_mat_vec_f16_f32_vec", mul_mat_vec_constants);
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_F16][GGML_TYPE_F16][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_f16_f16, "mul_mat_vec_f16_f16", mul_mat_vec_constants);
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_F16][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_f16_f16_vec, "mul_mat_vec_f16_f16_vec", mul_mat_vec_constants);
-    webgpu_ctx->mul_mat_vec_pipelines[GGML_TYPE_Q4_0][GGML_TYPE_F32][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_mul_mat_vec_q4_0_f32, "mul_mat_vec_q4_0_f32", mul_mat_vec_constants);
-}
-
-static void ggml_webgpu_init_get_rows_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE);
-
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_F32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_f32, "get_rows_f32", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_get_rows_f32_vec, "get_rows_f32_vec", constants);
-
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_F16][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_f16, "get_rows_f16", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_I32][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_i32, "get_rows_i32", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q4_0][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q4_0, "get_rows_q4_0", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q4_1][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q4_1, "get_rows_q4_1", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q5_0][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q5_0, "get_rows_q5_0", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q5_1][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q5_1, "get_rows_q5_1", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q8_0][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q8_0, "get_rows_q8_0", constants);
-
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q2_K][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q2_k, "get_rows_q2_k", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q3_K][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q3_k, "get_rows_q3_k", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q4_K][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q4_k, "get_rows_q4_k", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q5_K][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q5_k, "get_rows_q5_k", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_Q6_K][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_q6_k, "get_rows_q6_k", constants);
-
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ2_XXS][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_get_rows_iq2_xxs, "get_rows_iq2_xxs", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ2_XS][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq2_xs, "get_rows_iq2_xs", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ2_S][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq2_s, "get_rows_iq2_s", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ3_XXS][0] = ggml_webgpu_create_pipeline(
-        webgpu_ctx->global_ctx->device, wgsl_get_rows_iq3_xxs, "get_rows_iq3_xxs", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ3_S][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq3_s, "get_rows_iq3_s", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ1_S][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq1_s, "get_rows_iq1_s", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ1_M][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq1_m, "get_rows_iq1_m", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ4_NL][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq4_nl, "get_rows_iq4_nl", constants);
-    webgpu_ctx->get_rows_pipelines[GGML_TYPE_IQ4_XS][0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_get_rows_iq4_xs, "get_rows_iq4_xs", constants);
-}
-
 static void ggml_webgpu_init_cpy_pipeline(webgpu_context & webgpu_ctx) {
     std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE);
 
@@ -2816,15 +2716,6 @@ static void ggml_webgpu_init_glu_pipeline(webgpu_context & webgpu_ctx) {
         webgpu_ctx->global_ctx->device, wgsl_geglu_quick_f16_split, "geglu_quick_f16_split", constants);
 }
 
-static void ggml_webgpu_init_scale_pipeline(webgpu_context & webgpu_ctx) {
-    std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE);
-
-    webgpu_ctx->scale_pipelines[0] =
-        ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_scale_f32, "scale_f32", constants);
-    webgpu_ctx->scale_pipelines[1] = ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_scale_f32_inplace,
-                                                                 "scale_f32_inplace", constants);
-}
-
 static void ggml_webgpu_init_soft_max_pipeline(webgpu_context & webgpu_ctx) {
     std::vector<wgpu::ConstantEntry> constants = ggml_webgpu_wg_size_entry(WEBGPU_ROW_SPLIT_WG_SIZE);
 
@@ -3015,21 +2906,21 @@ static webgpu_context initialize_webgpu_context(ggml_backend_dev_t dev) {
     ggml_backend_webgpu_device_context * dev_ctx    = (ggml_backend_webgpu_device_context *) dev->context;
     webgpu_context                       webgpu_ctx = std::make_shared<webgpu_context_struct>();
     webgpu_ctx->global_ctx                          = dev_ctx->webgpu_global_ctx;
+    webgpu_ctx->shader_lib = std::make_unique<ggml_webgpu_shader_lib>(dev_ctx->webgpu_global_ctx->device);
     webgpu_ctx->param_buf_pool.init(webgpu_ctx->global_ctx->device, WEBGPU_NUM_PARAM_BUFS, WEBGPU_PARAMS_BUF_SIZE_BYTES,
                                     wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::Uniform,
-                                    wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::MapWrite);
-    webgpu_ctx->set_rows_error_buf_pool.init(webgpu_ctx->global_ctx->device, WEBGPU_NUM_SET_ROWS_ERROR_BUFS,
-                                             WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
-                                             wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::Storage,
-                                             wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead);
-
-    ggml_webgpu_init_mul_mat_pipeline(webgpu_ctx);
-    ggml_webgpu_init_get_rows_pipeline(webgpu_ctx);
+                                    wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::MapWrite, true);
+    ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->set_rows_dev_error_buf,
+                              WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
+                              wgpu::BufferUsage::Storage | wgpu::BufferUsage::CopySrc, "set_rows_dev_error_buf");
+    ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->set_rows_host_error_buf,
+                              WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
+                              wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead, "set_rows_host_error_buf");
+
     ggml_webgpu_init_cpy_pipeline(webgpu_ctx);
     ggml_webgpu_init_rms_norm_pipeline(webgpu_ctx);
     ggml_webgpu_init_rope_pipeline(webgpu_ctx);
     ggml_webgpu_init_glu_pipeline(webgpu_ctx);
-    ggml_webgpu_init_scale_pipeline(webgpu_ctx);
     ggml_webgpu_init_soft_max_pipeline(webgpu_ctx);
 #ifdef GGML_WEBGPU_DEBUG
     // Initialize debug buffers
@@ -3071,11 +2962,11 @@ static ggml_backend_buffer_type_t ggml_backend_webgpu_device_get_buffer_type(ggm
     static struct ggml_backend_buffer_type ggml_backend_webgpu_buffer_type = {
         /* .iface = */ {
                         /* .get_name         = */ ggml_backend_webgpu_buffer_type_get_name,
-                        /* .alloc_buffer     = */ ggml_backend_webgpu_buffer_type_alloc_buffer,
-                        /* .get_alignment    = */ ggml_backend_webgpu_buffer_type_get_alignment,
-                        /* .get_max_size     = */ ggml_backend_webgpu_buffer_type_get_max_size,
-                        /* .get_alloc_size   = */ ggml_backend_webgpu_buffer_type_get_alloc_size,
-                        /* .is_host          = */ NULL,  // defaults to false
+                        /* .alloc_buffer     = */
+            ggml_backend_webgpu_buffer_type_alloc_buffer,                                    /* .get_alignment    = */
+            ggml_backend_webgpu_buffer_type_get_alignment,                                   /* .get_max_size     = */
+            ggml_backend_webgpu_buffer_type_get_max_size,                                    /* .get_alloc_size   = */
+            ggml_backend_webgpu_buffer_type_get_alloc_size, /* .is_host          = */ NULL,  // defaults to false
         },
         /* .device  = */
         dev,
@@ -3147,10 +3038,14 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
         case GGML_OP_SUB:
         case GGML_OP_MUL:
         case GGML_OP_DIV:
-            // TODO: support non-contiguous tensors, e.g. for MOE_EXPERT_REDUCE
-            // see https://github.com/ggml-org/llama.cpp/pull/16857
             supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type) &&
-                          (src1->type == op->type) && ggml_is_contiguous(src0) && ggml_is_contiguous(src1);
+                          (src1->type == op->type);
+            break;
+        case GGML_OP_CONCAT:
+            supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32);
+            break;
+        case GGML_OP_REPEAT:
+            supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32 || src0->type == GGML_TYPE_I16);
             break;
         case GGML_OP_CPY:
         case GGML_OP_CONT:
@@ -3306,6 +3201,18 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
         case GGML_OP_LOG:
             supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type);
             break;
+        case GGML_OP_SQR:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type);
+            break;
+        case GGML_OP_SQRT:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type);
+            break;
+        case GGML_OP_SIN:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type);
+            break;
+        case GGML_OP_COS:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type);
+            break;
         case GGML_OP_PAD:
             supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32;
             break;
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl
index 55dd66408a3..a748dc1b86c 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl
@@ -7,6 +7,13 @@ struct Params {
     offset_src0: u32,
     offset_src1: u32,
     offset_dst: u32,
+    offset_merged_src0: u32,
+    offset_merged_src1: u32,
+
+    stride_src0_0: u32,
+    stride_src0_1: u32,
+    stride_src0_2: u32,
+    stride_src0_3: u32,
 
     stride_src1_0: u32,
     stride_src1_1: u32,
@@ -23,6 +30,21 @@ struct Params {
     b_ne3: u32,
 };
 
+fn src0_index(_i: u32) -> u32 {
+    var i = _i;
+    let a_i3 = i / (params.a_ne2 * params.a_ne1 * params.a_ne0);
+    i = i % (params.a_ne2 * params.a_ne1 * params.a_ne0);
+    let a_i2 = i / (params.a_ne1 * params.a_ne0);
+    i = i % (params.a_ne1 * params.a_ne0);
+    let a_i1 = i / params.a_ne0;
+    let a_i0 = i % params.a_ne0;
+
+    return a_i0 * params.stride_src0_0 +
+           a_i1 * params.stride_src0_1 +
+           a_i2 * params.stride_src0_2 +
+           a_i3 * params.stride_src0_3;
+}
+
 fn src1_index(_i: u32) -> u32 {
     var i = _i;
     let a_i3 = i / (params.a_ne2 * params.a_ne1 * params.a_ne0);
@@ -53,17 +75,22 @@ fn src1_index(_i: u32) -> u32 {
 #define DataType f16
 #endif
 
+#ifdef SRC_OVERLAP
 @group(0) @binding(0)
-var<storage, read_write> src0: array<DataType>;
+var<storage, read_write> merged_src: array<DataType>;
 
 @group(0) @binding(1)
-var<storage, read_write> src1 : array<DataType>;
+var<storage, read_write> dst: array<DataType>;
 
-#ifdef INPLACE
 @group(0) @binding(2)
 var<uniform> params: Params;
+#else
+@group(0) @binding(0)
+var<storage, read_write> src0: array<DataType>;
 
-#elif defined(OVERLAP)
+@group(0) @binding(1)
+var<storage, read_write> src1 : array<DataType>;
+#if defined(INPLACE) || defined(OVERLAP)
 @group(0) @binding(2)
 var<uniform> params: Params;
 
@@ -74,6 +101,7 @@ var<storage, read_write> dst: array<DataType>;
 @group(0) @binding(3)
 var<uniform> params: Params;
 #endif
+#endif
 
 fn op(a: DataType, b: DataType) -> DataType {
 #ifdef OP_ADD
@@ -87,13 +115,17 @@ fn op(a: DataType, b: DataType) -> DataType {
 #endif
 }
 
-fn update(dst_i: u32, src0_i: u32, src1_i: u32){
+fn update(dst_i: u32, src0_i: u32, src1_i: u32) {
+#ifdef SRC_OVERLAP
+    let result = op(merged_src[src0_i], merged_src[src1_i]);
+#else
     let result = op(src0[src0_i], src1[src1_i]);
+#endif
 
 #ifdef INPLACE
-    src0[dst_i] = result;
+    src0[src0_i] = result;
 #elif defined(OVERLAP)
-    src1[dst_i] = result;
+    src1[src1_i] = result;
 #else
     dst[dst_i] = result;
 #endif
@@ -102,6 +134,8 @@ fn update(dst_i: u32, src0_i: u32, src1_i: u32){
 @compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     if (gid.x < params.ne) {
-        update(params.offset_dst + gid.x, params.offset_src0 + gid.x, params.offset_src1 + src1_index(gid.x));
+        let src0_i = params.offset_src0 + params.offset_merged_src0 + src0_index(gid.x);
+        let src1_i = params.offset_src1 + params.offset_merged_src1 + src1_index(gid.x);
+        update(params.offset_dst + gid.x, src0_i, src1_i);
     }
 }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
index 389c97bb51b..9a5b18ebc07 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
@@ -1,5 +1,4 @@
-#decl(BYTE_HELPERS)
-
+#ifdef BYTE_HELPERS
 fn get_byte(value: u32, index: u32) -> u32 {
     return (value >> (index * 8)) & 0xFF;
 }
@@ -7,76 +6,74 @@ fn get_byte(value: u32, index: u32) -> u32 {
 fn get_byte_i32(value: u32, index: u32) -> i32 {
     return bitcast<i32>(((value >> (index * 8)) & 0xFF) << 24) >> 24;
 }
+#endif
 
-#enddecl(BYTE_HELPERS)
-
-#decl(Q4_0_T)
+#ifdef Q4_0_T
 struct q4_0 {
     d: f16,
     qs: array<f16, 8>
 };
-#enddecl(Q4_0_T)
+#endif
 
-#decl(Q4_1_T)
+#ifdef Q4_1_T
 struct q4_1 {
     d: f16,
     m: f16,
     qs: array<u32, 4>
 };
-#enddecl(Q4_1_T)
+#endif
 
-#decl(Q5_0_T)
+#ifdef Q5_0_T
 struct q5_0 {
     d: f16,
     qh: array<f16, 2>,
     qs: array<f16, 8>
 };
-#enddecl(Q5_0_T)
+#endif
 
-#decl(Q5_1_T)
+#ifdef Q5_1_T
 struct q5_1 {
     d: f16,
     m: f16,
     qh: u32,
     qs: array<u32, 4>
 };
-#enddecl(Q5_1_T)
+#endif
 
-#decl(Q8_0_T)
+#ifdef Q8_0_T
 struct q8_0 {
     d: f16,
     qs: array<f16, 16>
 };
-#enddecl(Q8_0_T)
+#endif
 
-#decl(Q8_1_T)
+#ifdef Q8_1_T
 struct q8_1 {
     d: f16,
     m: f16,
     qs: array<u32, 8>
 };
-#enddecl(Q8_1_T)
+#endif
 
-#decl(Q2_K_T)
-struct q2_k {
+#ifdef Q2_K_T
+struct q2_K {
     scales: array<u32, 4>,
     qs: array<u32, 16>,
     d: f16,
     dmin: f16
 };
-#enddecl(Q2_K_T)
+#endif
 
-#decl(Q3_K_T)
-struct q3_k {
+#ifdef Q3_K_T
+struct q3_K {
     hmask: array<f16, 16>,
     qs: array<f16, 32>,
     scales: array<f16, 6>,
     d: f16
 };
-#enddecl(Q3_K_T)
-
-#decl(Q45_K_SCALE_MIN)
+#endif
 
+#if defined(Q4_K_SCALE_MIN) || defined(Q5_K_SCALE_MIN)
 fn get_scale_min(is: u32, scales: array<u32, 3>) -> vec2<f32> {
     if (is < 4) {
         let sc_byte = get_byte(scales[is / 4], is % 4);
@@ -91,69 +88,67 @@ fn get_scale_min(is: u32, scales: array<u32, 3>) -> vec2<f32> {
         return vec2(f32(sc), f32(m));
     }
 }
-
-#enddecl(Q45_K_SCALE_MIN)
-
-#decl(Q4_K_T)
-struct q4_k {
+#endif
+#ifdef Q4_K_T
+struct q4_K {
     d: f16,
     dmin: f16,
     scales: array<u32, 3>,
     qs: array<u32, 32>
 };
-#enddecl(Q4_K_T)
+#endif
 
-#decl(Q5_K_T)
-struct q5_k {
+#ifdef Q5_K_T
+struct q5_K {
     d: f16,
     dmin: f16,
     scales: array<u32, 3>,
     qh: array<u32, 8>,
     qs: array<u32, 32>
 };
-#enddecl(Q5_K_T)
+#endif
 
-#decl(Q6_K_T)
-struct q6_k {
+#ifdef Q6_K_T
+struct q6_K {
     ql: array<f16, 64>,
     qh: array<f16, 32>,
     scales: array<f16, 8>,
     d: f16
 };
-#enddecl(Q6_K_T)
+#endif
 
-#decl(IQ2_XXS_T)
+#ifdef IQ2_XXS_T
 struct iq2_xxs {
     d: f16,
     qs: array<f16, 32>
 };
-#enddecl(IQ2_XXS_T)
+#endif
 
-#decl(IQ2_XS_T)
+#ifdef IQ2_XS_T
 struct iq2_xs {
     d: f16,
     qs: array<f16, 32>,
     scales: array<f16, 4>
 };
-#enddecl(IQ2_XS_T)
+#endif
 
-#decl(IQ2_S_T)
+#ifdef IQ2_S_T
 struct iq2_s {
     d: f16,
     qs: array<f16, 32>,
     qh: array<f16, 4>,
     scales: array<f16, 4>
 };
-#enddecl(IQ2_S_T)
+#endif
 
-#decl(IQ3_XSS_T)
+#ifdef IQ3_XXS_T
 struct iq3_xxs {
     d: f16,
     qs: array<f16, 48>
 };
-#enddecl(IQ3_XSS_T)
+#endif
 
-#decl(IQ3_S_T)
+#ifdef IQ3_S_T
 struct iq3_s {
     d: f16,
     qs: array<f16, 32>,
@@ -161,41 +156,41 @@ struct iq3_s {
     signs: array<f16, 16>,
     scales: array<f16, 2>
 };
-#enddecl(IQ3_S_T)
+#endif
 
-#decl(IQ1_S_T)
+#ifdef IQ1_S_T
 struct iq1_s {
     d: f16,
     qs: array<f16, 16>,
     qh: array<f16, 8>
 };
-#enddecl(IQ1_S_T)
+#endif
 
-#decl(IQ1_M_T)
+#ifdef IQ1_M_T
 struct iq1_m {
     qs: array<u32, 8>,
     qh: array<u32, 4>,
     scales: array<u32, 2>
 };
-#enddecl(IQ1_M_T)
+#endif
 
-#decl(IQ4_NL_T)
+#ifdef IQ4_NL_T
 struct iq4_nl {
     d: f16,
     qs: array<f16, 8>,
 };
-#enddecl(IQ4_NL_T)
+#endif
 
-#decl(IQ4_XS_T)
+#ifdef IQ4_XS_T
 struct iq4_xs {
     d: f16,
     scales_h: f16,
     scales_l: u32,
     qs: array<u32, 32>
 };
-#enddecl(IQ4_XS_T)
+#endif
 
-#decl(IQ23_TABLES)
+#if defined(IQ2_XXS_TABLES) || defined(IQ2_XS_TABLES) || defined(IQ2_S_TABLES) || defined(IQ3_XXS_TABLES) || defined(IQ3_S_TABLES)
 const kmask_iq2xs : array<u32, 2> = array<u32, 2>(
     0x08040201u, // 1, 2, 4, 8
     0x80402010u  // 16, 32, 64, 128
@@ -211,9 +206,9 @@ const ksigns_iq2xs: array<u32, 32> = array<u32, 32>(
     0x63e2e160,0xe76665e4,0xeb6a69e8,0x6feeed6c,
     0xf37271f0,0x77f6f574,0x7bfaf978,0xff7e7dfc
 );
-#enddecl(IQ23_TABLES)
+#endif
 
-#decl(IQ2_XXS_GRID)
+#ifdef IQ2_XXS_GRID
 const iq2xxs_grid = array<u32, 512>(
     0x08080808, 0x08080808, 0x0808082b, 0x08080808, 0x08081919, 0x08080808, 0x08082b08, 0x08080808,
     0x08082b2b, 0x08080808, 0x08190819, 0x08080808, 0x08191908, 0x08080808, 0x082b0808, 0x08080808,
@@ -280,9 +275,9 @@ const iq2xxs_grid = array<u32, 512>(
     0x0808082b, 0x2b2b0808, 0x19190808, 0x2b2b0808, 0x2b081919, 0x2b2b0808, 0x08082b19, 0x2b2b0819,
     0x08080808, 0x2b2b082b, 0x08192b08, 0x2b2b1908, 0x19190808, 0x2b2b2b08, 0x08081908, 0x2b2b2b19
 );
-#enddecl(IQ2_XXS_GRID)
+#endif
 
-#decl(IQ2_XS_GRID)
+#ifdef IQ2_XS_GRID
 const iq2xs_grid = array<u32, 1024>(
     0x08080808, 0x08080808, 0x0808082b, 0x08080808, 0x08081919, 0x08080808, 0x08082b08, 0x08080808,
     0x08082b2b, 0x08080808, 0x08190819, 0x08080808, 0x08191908, 0x08080808, 0x0819192b, 0x08080808,
@@ -413,9 +408,9 @@ const iq2xs_grid = array<u32, 1024>(
     0x2b2b2b08, 0x2b2b2b08, 0x08081908, 0x2b2b2b19, 0x2b081908, 0x2b2b2b19, 0x2b08192b, 0x2b2b2b19,
     0x082b2b08, 0x2b2b2b2b, 0x082b2b2b, 0x2b2b2b2b, 0x2b190819, 0x2b2b2b2b, 0x2b2b2b2b, 0x2b2b2b2b
 );
-#enddecl(IQ2_XS_GRID)
+#endif
 
-#decl(IQ2_S_GRID)
+#ifdef IQ2_S_GRID
 const iq2s_grid = array<u32, 2048>(
     0x08080808, 0x08080808, 0x0808082b, 0x08080808, 0x08081919, 0x08080808, 0x08082b08, 0x08080808,
     0x08082b2b, 0x08080808, 0x08190819, 0x08080808, 0x08191908, 0x08080808, 0x0819192b, 0x08080808,
@@ -674,10 +669,9 @@ const iq2s_grid = array<u32, 2048>(
     0x2b08192b, 0x2b2b2b19, 0x08082b08, 0x2b2b2b2b, 0x08082b2b, 0x2b2b2b2b, 0x082b0808, 0x2b2b2b2b,
     0x082b082b, 0x2b2b2b2b, 0x082b2b08, 0x2b2b2b2b, 0x2b082b08, 0x2b2b2b2b, 0x2b2b2b2b, 0x2b2b2b2b
 );
-#enddecl(IQ2_S_GRID)
-
-#decl(IQ3_XSS_GRID)
+#endif
 
+#ifdef IQ3_XXS_GRID
 const iq3xxs_grid = array<u32, 256>(
     0x04040404, 0x04040414, 0x04040424, 0x04040c0c, 0x04040c1c, 0x04040c3e, 0x04041404, 0x04041414,
     0x04041c0c, 0x04042414, 0x04043e1c, 0x04043e2c, 0x040c040c, 0x040c041c, 0x040c0c04, 0x040c0c14,
@@ -712,10 +706,9 @@ const iq3xxs_grid = array<u32, 256>(
     0x3e042c14, 0x3e0c1434, 0x3e0c2404, 0x3e140c14, 0x3e14242c, 0x3e142c14, 0x3e1c0404, 0x3e1c0c2c,
     0x3e1c1c1c, 0x3e1c3404, 0x3e24140c, 0x3e24240c, 0x3e2c0404, 0x3e2c0414, 0x3e2c1424, 0x3e341c04
 );
-#enddecl(IQ3_XSS_GRID)
-
-#decl(IQ3_S_GRID)
+#endif
 
+#ifdef IQ3_S_GRID
 const iq3s_grid = array<u32, 512>(
     0x01010101, 0x01010103, 0x01010105, 0x0101010b, 0x0101010f, 0x01010301, 0x01010303, 0x01010305,
     0x01010309, 0x0101030d, 0x01010501, 0x01010503, 0x0101050b, 0x01010707, 0x01010901, 0x01010905,
@@ -782,9 +775,9 @@ const iq3s_grid = array<u32, 512>(
     0x0f050701, 0x0f050b03, 0x0f070105, 0x0f070705, 0x0f07070b, 0x0f070b07, 0x0f090103, 0x0f09010b,
     0x0f090307, 0x0f090501, 0x0f090b01, 0x0f0b0505, 0x0f0b0905, 0x0f0d0105, 0x0f0d0703, 0x0f0f0101
 );
-#enddecl(IQ3_S_GRID)
+#endif
 
-#decl(IQ1_GRID)
+#if defined(IQ1_S_GRID) || defined(IQ1_M_GRID)
 
 const IQ1_DELTA: f32 = 0.125;
 
@@ -919,12 +912,12 @@ const iq1_grid = array<u32, 1024>(
     0x55dd55df, 0x55d555d7, 0x5503550c, 0x557f5501, 0x5577557d, 0x55405575, 0x555d555f, 0x55555557
 );
 
-#enddecl(IQ1_GRID)
+#endif
 
-#decl(IQ4_GRID)
+#if defined(IQ4_NL_GRID) || defined(IQ4_XS_GRID)
 
 const kvalues_iq4nl = array<i32, 16>(
     -127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113
 );
 
-#enddecl(IQ4_GRID)
+#endif
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/concat.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/concat.wgsl
new file mode 100644
index 00000000000..a22d245d2cc
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/concat.wgsl
@@ -0,0 +1,75 @@
+struct Params {
+    ne: u32,
+
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+
+    stride_src0_0: u32,
+    stride_src0_1: u32,
+    stride_src0_2: u32,
+    stride_src0_3: u32,
+
+    stride_src1_0: u32,
+    stride_src1_1: u32,
+    stride_src1_2: u32,
+    stride_src1_3: u32,
+
+    ne0: u32,
+    ne1: u32,
+    ne2: u32,
+    ne3: u32,
+
+    dim: u32,
+    src0_nedim: u32
+};
+
+#ifdef TYPE_F32
+#define DataType f32
+#endif
+#ifdef TYPE_I32
+#define DataType i32
+#endif
+
+@group(0) @binding(0)
+var<storage, read_write> src0: array<DataType>;
+
+@group(0) @binding(1)
+var<storage, read_write> src1 : array<DataType>;
+
+@group(0) @binding(2)
+var<storage, read_write> dst: array<DataType>;
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
+
+    if (gid.x < params.ne) {
+        var i = gid.x;
+        let i3 = i / (params.ne2 * params.ne1 * params.ne0);
+        i = i % (params.ne2 * params.ne1 * params.ne0);
+        let i2 = i / (params.ne1 * params.ne0);
+        i = i % (params.ne1 * params.ne0);
+        let i1 = i / params.ne0;
+        let i0 = i % params.ne0;
+
+        var ni = array<u32, 4>(i0, i1, i2, i3);
+
+        if (ni[params.dim] < params.src0_nedim) {
+            let src_i = ni[0] * params.stride_src0_0 +
+                             ni[1] * params.stride_src0_1 +
+                             ni[2] * params.stride_src0_2 +
+                             ni[3] * params.stride_src0_3;
+            dst[params.offset_dst + gid.x] = src0[params.offset_src0 + src_i];
+        } else {
+            ni[params.dim] -= params.src0_nedim;
+            let src_i = ni[0] * params.stride_src1_0 +
+                             ni[1] * params.stride_src1_1 +
+                             ni[2] * params.stride_src1_2 +
+                             ni[3] * params.stride_src1_3;
+            dst[params.offset_dst + gid.x] = src1[params.offset_src1 + src_i];
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py b/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
index d61df5bb9e5..8b5cfe715e7 100755
--- a/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
@@ -56,12 +56,46 @@ def replacer(match):
     return include_pattern.sub(replacer, shader)
 
 
-def write_shader(shader_name, shader_code, output_dir, outfile):
+def chunk_shader(shader_code, max_chunk_len=60000):
+    """Split shader_code into safe raw-string sized chunks."""
+    return [shader_code[i : i + max_chunk_len] for i in range(0, len(shader_code), max_chunk_len)]
+
+
+def raw_delim(shader_code):
+    """Pick a raw-string delimiter that does not appear in the shader."""
+    delim = "wgsl"
+    while f"){delim}\"" in shader_code:
+        delim += "_x"
+    return delim
+
+
+def write_shader(shader_name, shader_code, output_dir, outfile, input_dir):
+    shader_code = expand_includes(shader_code, input_dir)
+
     if output_dir:
         wgsl_filename = os.path.join(output_dir, f"{shader_name}.wgsl")
         with open(wgsl_filename, "w", encoding="utf-8") as f_out:
             f_out.write(shader_code)
-    outfile.write(f'const char* wgsl_{shader_name} = R"({shader_code})";\n\n')
+
+    delim = raw_delim(shader_code)
+    chunks = chunk_shader(shader_code)
+
+    if len(chunks) == 1:
+        outfile.write(f'const char* wgsl_{shader_name} = R"{delim}({shader_code}){delim}";\n\n')
+    else:
+        for idx, chunk in enumerate(chunks):
+            outfile.write(f'static const char wgsl_{shader_name}_part{idx}[] = R"{delim}({chunk}){delim}";\n\n')
+        outfile.write(f'static const std::string& wgsl_{shader_name}_str() {{\n')
+        outfile.write('    static const std::string s = []{\n')
+        outfile.write('        std::string tmp;\n')
+        outfile.write(f'        tmp.reserve({len(shader_code)});\n')
+        for idx in range(len(chunks)):
+            outfile.write(f'        tmp.append(wgsl_{shader_name}_part{idx});\n')
+        outfile.write('        return tmp;\n')
+        outfile.write('    }();\n')
+        outfile.write('    return s;\n')
+        outfile.write('}\n')
+        outfile.write(f'const char* wgsl_{shader_name} = wgsl_{shader_name}_str().c_str();\n\n')
 
 
 def generate_variants(fname, input_dir, output_dir, outfile):
@@ -74,7 +108,7 @@ def generate_variants(fname, input_dir, output_dir, outfile):
     try:
         variants = ast.literal_eval(extract_block(text, "VARIANTS"))
     except ValueError:
-        write_shader(shader_base_name, text, output_dir, outfile)
+        write_shader(shader_base_name, text, output_dir, outfile, input_dir)
     else:
         try:
             decls_map = parse_decls(extract_block(text, "DECLS"))
@@ -123,7 +157,7 @@ def generate_variants(fname, input_dir, output_dir, outfile):
                 output_name = f"{shader_base_name}_" + variant["REPLS"]["TYPE"]
             else:
                 output_name = shader_base_name
-            write_shader(output_name, final_shader, output_dir, outfile)
+            write_shader(output_name, final_shader, output_dir, outfile, input_dir)
 
 
 def main():
@@ -137,7 +171,8 @@ def main():
         os.makedirs(args.output_dir, exist_ok=True)
 
     with open(args.output_file, "w", encoding="utf-8") as out:
-        out.write("// Auto-generated shader embedding\n\n")
+        out.write("// Auto-generated shader embedding\n")
+        out.write("#include <string>\n\n")
         for fname in sorted(os.listdir(args.input_dir)):
             if fname.endswith(".wgsl"):
                 generate_variants(fname, args.input_dir, args.output_dir, out)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
similarity index 83%
rename from ggml/src/ggml-webgpu/wgsl-shaders/get_rows.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
index f80ce1fc550..b10800e36d2 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
@@ -1,222 +1,31 @@
-#define(VARIANTS)
-
-[
-  {
-    "SHADER_SUFFIX": "f32_vec",
-    "REPLS": {
-      "TYPE" : "vec4<f32>",
-      "DST_TYPE": "vec4<f32>",
-      "BLOCK_SIZE": 4
-    },
-    "DECLS": ["F32_VEC"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "f32",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 1
-    },
-    "DECLS": ["F32"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "f16",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 1
-    },
-    "DECLS": ["F16"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "i32",
-      "DST_TYPE": "i32",
-      "BLOCK_SIZE": 1
-    },
-    "DECLS": ["I32"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q4_0",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q4_0_T", "Q4_0"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q4_1",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q4_1_T", "Q4_1"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q5_0",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q5_0_T", "Q5_0"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q5_1",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q5_1_T", "Q5_1"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q8_0",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q8_0_T", "Q8_0"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q2_k",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "Q2_K_T", "Q2_K"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q3_k",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "Q3_K_T", "Q3_K"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q4_k",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["Q45_K_SCALE_MIN", "BYTE_HELPERS", "Q4_K_T", "Q4_K"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q5_k",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["Q45_K_SCALE_MIN", "BYTE_HELPERS", "Q5_K_T", "Q5_K"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "q6_k",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "Q6_K_T", "Q6_K"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "iq2_xxs",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ2_XXS_GRID", "IQ2_XXS_T", "IQ2_XXS"]
-  },
-  {
-    "REPLS": {
-      "TYPE" : "iq2_xs",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ2_XS_GRID", "IQ2_XS_T", "IQ2_XS"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq2_s",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ2_S_GRID", "IQ2_S_T", "IQ2_S"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq3_xxs",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ3_XSS_GRID", "IQ3_XSS_T", "IQ3_XSS"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq3_s",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ3_S_GRID", "IQ3_S_T", "IQ3_S"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq1_s",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ1_GRID", "IQ1_S_T", "IQ1_S"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq1_m",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ1_GRID", "IQ1_M_T", "IQ1_M"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq4_nl",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 32,
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ4_GRID", "IQ4_NL_T", "IQ4_NL"]
-  },
-  {
-    "REPLS": {
-      "TYPE": "iq4_xs",
-      "DST_TYPE": "f32",
-      "BLOCK_SIZE": 256,
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ4_GRID", "IQ4_XS_T", "IQ4_XS"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(F32_VEC)
+enable f16;
+#include "common_decls.tmpl"
+
+#ifdef F32_VEC
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     dst[(dst_base / 4) + offset] = src[(src_base / 4) + offset];
 }
-#enddecl(F32_VEC)
+#endif
 
-#decl(F32)
+#ifdef F32
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     dst[dst_base + offset] = src[src_base + offset];
 }
-#enddecl(F32)
+#endif
 
-#decl(F16)
+#ifdef F16
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     dst[dst_base + offset] = f32(src[src_base + offset]);
 }
-#enddecl(F16)
+#endif
 
-#decl(I32)
+#ifdef I32
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     dst[dst_base + offset] = src[src_base + offset];
 }
-#enddecl(I32)
+#endif
 
-#decl(Q4_0)
+#ifdef Q4_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block_q4_0 = src[src_base + offset];
     let d = f32(block_q4_0.d);
@@ -232,9 +41,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q4_0)
+#endif
 
-#decl(Q4_1)
+#ifdef Q4_1
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block_q4_1 = src[src_base + offset];
     let d = f32(block_q4_1.d);
@@ -251,9 +60,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q4_1)
+#endif
 
-#decl(Q5_0)
+#ifdef Q5_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block_q5_0 = src[src_base + offset];
     let d = f32(block_q5_0.d);
@@ -272,10 +81,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
+#endif
 
-#enddecl(Q5_0)
-
-#decl(Q5_1)
+#ifdef Q5_1
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block_q5_1 = src[src_base + offset];
     let d = f32(block_q5_1.d);
@@ -294,9 +102,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q5_1)
+#endif
 
-#decl(Q8_0)
+#ifdef Q8_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block_q8_0 = src[src_base + offset];
     let d = f32(block_q8_0.d);
@@ -310,9 +118,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q8_0)
+#endif
 
-#decl(Q2_K)
+#ifdef Q2_K
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -340,9 +148,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q2_K)
+#endif
 
-#decl(Q3_K)
+#ifdef Q3_K
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -398,9 +206,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q3_K)
+#endif
 
-#decl(Q4_K)
+#ifdef Q4_K
 // 8 blocks of 32 elements each
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
@@ -425,9 +233,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q4_K)
+#endif
 
-#decl(Q5_K)
+#ifdef Q5_K
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -455,9 +263,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(Q5_K)
+#endif
 
-#decl(Q6_K)
+#ifdef Q6_K
 // 16 blocks of 16 elements each
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
@@ -511,10 +319,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         sc_b_idx += 8;
     }
 }
+#endif
 
-#enddecl(Q6_K)
-
-#decl(IQ2_XXS)
+#ifdef IQ2_XXS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -536,9 +343,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(IQ2_XXS)
+#endif
 
-#decl(IQ2_XS)
+#ifdef IQ2_XS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -568,9 +375,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(IQ2_XS)
+#endif
 
-#decl(IQ2_S)
+#ifdef IQ2_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -608,10 +415,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
+#endif
 
-#enddecl(IQ2_S)
-
-#decl(IQ3_XSS)
+#ifdef IQ3_XXS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -638,9 +444,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(IQ3_XSS)
+#endif
 
-#decl(IQ3_S)
+#ifdef IQ3_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -683,9 +489,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
-#enddecl(IQ3_S)
+#endif
 
-#decl(IQ1_S)
+#ifdef IQ1_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -707,10 +513,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
+#endif
 
-#enddecl(IQ1_S)
-
-#decl(IQ1_M)
+#ifdef IQ1_M
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
 
@@ -751,10 +556,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         }
     }
 }
+#endif
 
-#enddecl(IQ1_M)
-
-#decl(IQ4_NL)
+#ifdef IQ4_NL
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -770,9 +574,9 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         dst_i++;
     }
 }
-#enddecl(IQ4_NL)
+#endif
 
-#decl(IQ4_XS)
+#ifdef IQ4_XS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
     let d = f32(block.d);
@@ -791,24 +595,16 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
         dst_i += 16;
     }
 }
-#enddecl(IQ4_XS)
-
-#end(DECLS)
-
-#define(SHADER)
-
-enable f16;
-
-DECLS
+#endif
 
 @group(0) @binding(0)
-var<storage, read_write> src: array<{{TYPE}}>;
+var<storage, read_write> src: array<SRC_TYPE>;
 
 @group(0) @binding(1)
 var<storage, read_write> idx: array<i32>;
 
 @group(0) @binding(2)
-var<storage, read_write> dst: array<{{DST_TYPE}}>;
+var<storage, read_write> dst: array<DST_TYPE>;
 
 struct Params {
     offset_src: u32, // in elements
@@ -842,8 +638,7 @@ struct Params {
 @group(0) @binding(3)
 var<uniform> params: Params;
 
-override wg_size: u32;
-@compute @workgroup_size(wg_size)
+@compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     if (gid.x >= params.n_rows * params.ne2 * params.ne3) {
         return;
@@ -866,9 +661,8 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let i_src_row = params.offset_src + idx_val * params.stride_src1 + i_dst2 * params.stride_src2 + i_dst3 * params.stride_src3;
     let i_dst_row = params.offset_dst + i_dst1 * params.stride_dst1 + i_dst2 * params.stride_dst2 + i_dst3 * params.stride_dst3;
 
-    for (var i: u32 = 0; i < params.ne0/{{BLOCK_SIZE}}; i++) {
+    for (var i: u32 = 0; i < params.ne0/BLOCK_SIZE; i++) {
       copy_elements(i_src_row, i_dst_row, i);
     }
 }
 
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
similarity index 84%
rename from ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
index 0f8e6e5ac3d..5b9f5b36224 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
@@ -1,195 +1,24 @@
-#define(VARIANTS)
-
-[
-  {
-    "REPLS": {
-      "SRC0_TYPE" : "f32",
-      "SRC1_TYPE" : "f32",
-      "BLOCK_SIZE" : 1
-    },
-    "DECLS" : ["FLOAT"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f16",
-      "BLOCK_SIZE" : 1
-    },
-    "DECLS" : ["FLOAT"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "BLOCK_SIZE" : 1
-    },
-    "DECLS" : ["FLOAT"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q4_0",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q4_0_T", "Q4_0"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q4_1",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q4_1_T", "Q4_1"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q5_0",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q5_0_T", "Q5_0"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q5_1",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q5_1_T", "Q5_1"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q8_0",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 32
-    },
-    "DECLS": ["BYTE_HELPERS", "Q8_0_T", "Q8_0"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q2_k",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "Q2_K_T", "Q2_K"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q3_k",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "Q3_K_T", "Q3_K"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q4_k",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["Q45_K_SCALE_MIN", "BYTE_HELPERS", "Q4_K_T", "Q4_K"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q5_k",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["Q45_K_SCALE_MIN", "BYTE_HELPERS", "Q5_K_T", "Q5_K"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "q6_k",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "Q6_K_T", "Q6_K"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq2_xxs",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ2_XXS_GRID", "IQ2_XXS_T", "IQ2_XXS"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq2_xs",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ2_XS_GRID", "IQ2_XS_T", "IQ2_XS"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq2_s",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ2_S_GRID", "IQ2_S_T", "IQ2_S"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq3_xxs",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ3_XSS_GRID", "IQ3_XSS_T", "IQ3_XSS"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq3_s",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ23_TABLES", "IQ3_S_GRID", "IQ3_S_T", "IQ3_S"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq1_s",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ1_GRID", "IQ1_S_T", "IQ1_S"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq1_m",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ1_GRID", "IQ1_M_T", "IQ1_M"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq4_nl",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 32,
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ4_GRID", "IQ4_NL_T", "IQ4_NL"]
-  },
-  {
-    "REPLS": {
-      "SRC0_TYPE": "iq4_xs",
-      "SRC1_TYPE": "f32",
-      "BLOCK_SIZE": 256,
-    },
-    "DECLS": ["BYTE_HELPERS", "IQ4_GRID", "IQ4_XS_T", "IQ4_XS"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(FLOAT)
+enable f16;
+
+#include "common_decls.tmpl"
+
+#ifdef FLOAT
+const BLOCK_SIZE = 1u;
+
+#elif defined(Q4_0) || defined(Q4_1) || defined(Q5_0) || defined(Q5_1) || defined(Q8_0) || defined(Q8_1) || defined(IQ4_NL)
+const BLOCK_SIZE = 32u;
+
+#elif defined(Q2_K) || defined(Q3_K) || defined(Q4_K) || defined(Q5_K) || defined(Q6_K) || defined(IQ2_XXS) || defined(IQ2_XS) || defined(IQ2_S) || defined(IQ3_XXS) || defined(IQ3_S) || defined(IQ1_S) || defined(IQ1_M) || defined(IQ4_XS)
+const BLOCK_SIZE = 256u;
+#endif
+
+#ifdef FLOAT
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     return f32(src0[src0_idx_base + offset]) * f32(src1[src1_idx_base + offset]);
 }
-#enddecl(FLOAT)
+#endif
 
-#decl(Q4_0)
+#ifdef Q4_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block_q4_0 = src0[src0_idx_base + offset];
     let d = f32(block_q4_0.d);
@@ -207,9 +36,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(Q4_0)
+#endif
 
-#decl(Q4_1)
+#ifdef Q4_1
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block_q4_1 = src0[src0_idx_base + offset];
     let d = f32(block_q4_1.d);
@@ -228,9 +57,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(Q4_1)
+#endif
 
-#decl(Q5_0)
+#ifdef Q5_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block_q5_0 = src0[src0_idx_base + offset];
     let d = f32(block_q5_0.d);
@@ -251,9 +80,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(Q5_0)
+#endif
 
-#decl(Q5_1)
+#ifdef Q5_1
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block_q5_1 = src0[src0_idx_base + offset];
     let d = f32(block_q5_1.d);
@@ -274,9 +103,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(Q5_1)
+#endif
 
-#decl(Q8_0)
+#ifdef Q8_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block_q8_0 = src0[src0_idx_base + offset];
     let d = f32(block_q8_0.d);
@@ -292,9 +121,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(Q8_0)
+#endif
 
-#decl(Q8_1)
+#ifdef Q8_1
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block_q8_1 = src0[src0_idx_base + offset];
     let d = f32(block_q8_1.d);
@@ -311,9 +140,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(Q8_1)
+#endif
 
-#decl(Q2_K)
+#ifdef Q2_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
@@ -344,10 +173,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(Q2_K)
-
-#decl(Q3_K)
+#ifdef Q3_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
@@ -406,10 +234,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(Q3_K)
-
-#decl(Q4_K)
+#ifdef Q4_K
 // 8 blocks of 32 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
@@ -436,10 +263,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(Q4_K)
-
-#decl(Q5_K)
+#ifdef Q5_K
 // 8 blocks of 32 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
@@ -470,10 +296,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(Q5_K)
-
-#decl(Q6_K)
+#ifdef Q6_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
@@ -529,10 +354,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(Q6_K)
-
-#decl(IQ2_XXS)
+#ifdef IQ2_XXS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -556,10 +380,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(IQ2_XXS)
-
-#decl(IQ2_XS)
+#ifdef IQ2_XS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -591,10 +414,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(IQ2_XS)
-
-#decl(IQ2_S)
+#ifdef IQ2_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -634,11 +456,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-
-#enddecl(IQ2_S)
-
-#decl(IQ3_XSS)
+#ifdef IQ3_XXS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -667,10 +487,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(IQ3_XSS)
-
-#decl(IQ3_S)
+#ifdef IQ3_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -715,9 +534,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-#enddecl(IQ3_S)
+#endif
 
-#decl(IQ1_S)
+#ifdef IQ1_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -741,10 +560,10 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(IQ1_S)
 
-#decl(IQ1_M)
+#ifdef IQ1_M
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
 
@@ -787,10 +606,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(IQ1_M)
-
-#decl(IQ4_NL)
+#ifdef IQ4_NL
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -808,10 +626,9 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
+#endif
 
-#enddecl(IQ4_NL)
-
-#decl(IQ4_XS)
+#ifdef IQ4_XS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
     let d = f32(block.d);
@@ -832,16 +649,7 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     }
     return sum;
 }
-
-#enddecl(IQ4_XS)
-
-#end(DECLS)
-
-#define(SHADER)
-
-enable f16;
-
-DECLS
+#endif
 
 struct MulMatParams {
     offset_src0: u32, // in elements/blocks
@@ -864,26 +672,31 @@ struct MulMatParams {
     broadcast3: u32
 };
 
-@group(0) @binding(0) var<storage, read_write> src0: array<{{SRC0_TYPE}}>; // M rows, K columns
-@group(0) @binding(1) var<storage, read_write> src1: array<{{SRC1_TYPE}}>; // K rows, N columns (transposed)
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // M rows, K columns
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // K rows, N columns (transposed)
 @group(0) @binding(2) var<storage, read_write> dst: array<f32>; // M rows, N columns
 
 @group(0) @binding(3) var<uniform> params: MulMatParams;
 
 @compute @workgroup_size(256)
-fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+fn main(@builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+    let global_idx = wg_linear * 256u + local_id.x;
+
     let total = params.m * params.n * params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
-    if (global_id.x >= total) {
+    if (global_idx >= total) {
         return;
     }
 
     let dst2_stride = params.m * params.n;
     let dst3_stride = dst2_stride * params.bs02 * params.broadcast2;
 
-    let dst3_idx = global_id.x / dst3_stride;
+    let dst3_idx = global_idx / dst3_stride;
     let src03_idx = dst3_idx / params.broadcast3; // src0 may be broadcast along the third dimension
     let src13_idx = dst3_idx; // src1 is not broadcast
-    let dst3_rem = global_id.x % dst3_stride;
+    let dst3_rem = global_idx % dst3_stride;
 
     let dst2_idx = dst3_rem / dst2_stride;
     let src02_idx = dst2_idx / params.broadcast2; // src0 may also be broadcast along the second dimension
@@ -898,10 +711,8 @@ fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
     let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12 + row * params.stride_11;
 
     var sum = 0.0;
-    for (var i: u32 = 0u; i < params.k/{{BLOCK_SIZE}}; i = i + 1u) {
+    for (var i: u32 = 0u; i < params.k/BLOCK_SIZE; i = i + 1u) {
         sum += multiply_add(src0_idx_base, src1_idx_base, i);
     }
     dst[params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + row * params.m + col] = sum;
 }
-
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
index 109ff8d6159..de60ebbcf2b 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
@@ -1,58 +1,65 @@
-#decl(SHMEM_VEC)
+#ifdef VEC
+#define VEC_SIZE 4
+#define SHMEM_TYPE vec4<f16>
+#define DST_TYPE vec4<f32>
+#define SRC0_TYPE vec4<SRC0_INNER_TYPE>
+#define SRC1_TYPE vec4<SRC1_INNER_TYPE>
+
 fn store_shmem(val: vec4<f16>, idx: u32) {
     shmem[idx] = val.x;
     shmem[idx + 1] = val.y;
     shmem[idx + 2] = val.z;
     shmem[idx + 3] = val.w;
 }
-#enddecl(SHMEM_VEC)
+#endif // VEC
+
+#ifdef SCALAR
+#define VEC_SIZE 1
+#define SHMEM_TYPE f16
+#define DST_TYPE f32
+#define SRC0_TYPE SRC0_INNER_TYPE
+#define SRC1_TYPE SRC1_INNER_TYPE
 
-#decl(SHMEM_SCALAR)
 fn store_shmem(val: f16, idx: u32) {
     shmem[idx] = val;
 }
-#enddecl(SHMEM_SCALAR)
-
-#decl(INIT_SRC0_SHMEM_FLOAT)
+#endif // SCALAR
 
+#ifdef INIT_SRC0_SHMEM_FLOAT
 fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
-    for (var elem_idx = thread_id * {{VEC_SIZE}}; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * {{VEC_SIZE}}) {
+    for (var elem_idx = thread_id * VEC_SIZE; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
         let tile_m = elem_idx / TILE_K;
         let tile_k = elem_idx % TILE_K;
         let global_m = offset_m + tile_m;
         let global_k = k_outer + tile_k;
         let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
         let src0_val = select( // taking a slight performance hit to avoid oob
-            {{SRC0_TYPE}}(0.0),
-            src0[src0_idx/{{VEC_SIZE}}],
+            SRC0_TYPE(0.0),
+            src0[src0_idx/VEC_SIZE],
             global_m < params.m && global_k < params.k);
-        store_shmem({{SHMEM_TYPE}}(src0_val), elem_idx);
+        store_shmem(SHMEM_TYPE(src0_val), elem_idx);
     }
 }
+#endif // INIT_SRC0_SHMEM_FLOAT
 
-#enddecl(INIT_SRC0_SHMEM_FLOAT)
-
-#decl(INIT_SRC1_SHMEM)
-
+#ifdef INIT_SRC1_SHMEM_FLOAT
 fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u32) {
-    for (var elem_idx = thread_id * {{VEC_SIZE}}; elem_idx < TILE_SRC1_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * {{VEC_SIZE}}) {
+    for (var elem_idx = thread_id * VEC_SIZE; elem_idx < TILE_SRC1_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
         let tile_n = elem_idx / TILE_K;
         let tile_k = elem_idx % TILE_K;
         let global_n = offset_n + tile_n;
         let global_k = k_outer + tile_k;
         let src1_idx = batch_offset + global_n * params.stride_11 + global_k;
         let src1_val = select(
-            {{SRC1_TYPE}}(0.0),
-            src1[src1_idx/{{VEC_SIZE}}],
+            SRC1_TYPE(0.0),
+            src1[src1_idx/VEC_SIZE],
             global_n < params.n && global_k < params.k);
-        store_shmem({{SHMEM_TYPE}}(src1_val), TILE_SRC0_SHMEM + elem_idx);
+        store_shmem(SHMEM_TYPE(src1_val), TILE_SRC0_SHMEM + elem_idx);
     }
 }
+#endif // INIT_SRC1_SHMEM_FLOAT
 
-#enddecl(INIT_SRC1_SHMEM)
-
-#decl(INIT_SRC0_SHMEM_Q4_0)
-
+#ifdef INIT_SRC0_SHMEM_Q4_0
 const BLOCK_SIZE = 32u;
 // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
 override BLOCKS_K = TILE_K/BLOCK_SIZE;
@@ -93,5 +100,667 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         }
     }
 }
+#endif // INIT_SRC0_SHMEM_Q4_0
+
+#ifdef INIT_SRC0_SHMEM_Q4_1
+const BLOCK_SIZE = 32u;
+// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
+override BLOCKS_K = TILE_K/BLOCK_SIZE;
+const NQ = 16u;
+const F16_PER_BLOCK = 10u; // 1 scale + 8 packed weights + 1 mean
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+
+        let tile_m = blck_idx / BLOCKS_K;
+        let global_m = offset_m + tile_m;
+        let block_k = blck_idx % BLOCKS_K;
+        let global_k = k_outer / BLOCK_SIZE + block_k;
+
+        if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
+            let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
+            let scale_idx = src0_idx * F16_PER_BLOCK;
+            let d = src0[scale_idx];
+            let m = src0[scale_idx + 1u];
+
+            for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+                let q_0 = src0[scale_idx + 2u + block_offset + j];
+                let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
+
+                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                for (var k = 0u; k < 4u; k++) {
+                    let q_byte = get_byte(q_packed, k);
+                    let q_lo = f16(q_byte & 0xF) * d + m;
+                    let q_hi = f16((q_byte >> 4) & 0xF) * d + m;
+                    shmem[shmem_idx + j * 2 + k] = q_lo;
+                    shmem[shmem_idx + j * 2 + k + 16u] = q_hi;
+                }
+            }
+        }
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q4_1
+
+#ifdef INIT_SRC0_SHMEM_Q5_0
+// 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block
+const BLOCK_SIZE = 32u;
+// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
+// tile_k is defined as 32u, so blocks_k ends up being 1 always
+override BLOCKS_K = TILE_K / BLOCK_SIZE;
+const NQ = 16u;
+const F16_PER_BLOCK = 11u; // 1 scale + 2 qh + 8 packed weights
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+
+    for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) {
+        let blck_idx    = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let shmem_idx   = blck_idx * BLOCK_SIZE + block_offset * 2u;
+
+        let tile_m   = blck_idx / BLOCKS_K;
+        let global_m = offset_m + tile_m;
+        let block_k  = blck_idx % BLOCKS_K;
+        let global_k = k_outer / BLOCK_SIZE + block_k;
+
+        if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
+            let src0_idx  = batch_offset + global_m * params.stride_01 + global_k;
+            let scale_idx = src0_idx * F16_PER_BLOCK;
 
-#enddecl(INIT_SRC0_SHMEM_Q4_0)
+            let d  = src0[scale_idx];
+            let qh0 = src0[scale_idx + 1u];
+            let qh1 = src0[scale_idx + 2u];
+            let qh_packed = bitcast<u32>(vec2(qh0, qh1));
+
+            for (var j = 0u; j < 2; j++) {
+                let q_0 = src0[scale_idx + 3u + block_offset + (j*2)];
+                let q_1 = src0[scale_idx + 3u + block_offset + (j*2) + 1u];
+
+                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+
+                let j_adjusted = j + (block_offset / 2u);
+
+
+                for (var k = 0u; k < 4u; k++) {
+                    let q_byte = get_byte(q_packed, k);
+
+                    let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
+                    let q_hi = (f16(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d;
+                    let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
+                    let q_lo = (f16((q_byte & 0xF) | qh_lo) - 16.0) * d;
+
+                    shmem[shmem_idx + j * 4u + k]        = q_lo; // store first weight
+                    shmem[shmem_idx + j * 4u + k + 16u]  = q_hi; // store second weight
+                }
+            }
+        }
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q5_0
+
+#ifdef INIT_SRC0_SHMEM_Q5_1
+// 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block
+const BLOCK_SIZE = 32u;
+// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
+// tile_k is defined as 32u, so blocks_k ends up being 1 always
+override BLOCKS_K = TILE_K / BLOCK_SIZE;
+const NQ = 16u;
+const F16_PER_BLOCK = 12u; // 1 scale + 2 qh + 8 packed weights + 1 mean
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+
+    for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) {
+        let blck_idx    = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let shmem_idx   = blck_idx * BLOCK_SIZE + block_offset * 2u;
+
+        let tile_m   = blck_idx / BLOCKS_K;
+        let global_m = offset_m + tile_m;
+        let block_k  = blck_idx % BLOCKS_K;
+        let global_k = k_outer / BLOCK_SIZE + block_k;
+
+        if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
+            let src0_idx  = batch_offset + global_m * params.stride_01 + global_k;
+            let scale_idx = src0_idx * F16_PER_BLOCK;
+
+            let d  = src0[scale_idx];
+            let m = src0[scale_idx + 1u];
+            let qh0 = src0[scale_idx + 2u];
+            let qh1 = src0[scale_idx + 3u];
+            let qh_packed = bitcast<u32>(vec2(qh0, qh1));
+
+            for (var j = 0u; j < 2; j++) {
+
+                let q_0 = src0[scale_idx + 4u + block_offset + (j*2)];
+                let q_1 = src0[scale_idx + 4u + block_offset + (j*2) + 1u];
+
+                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+
+                let j_adjusted = j + (block_offset / 2u);
+
+
+                for (var k = 0u; k < 4u; k++) {
+                    let q_byte = get_byte(q_packed, k);
+
+                    let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
+                    let q_hi = (f16(((q_byte >> 4) & 0xF) | qh_hi)) * d + m;
+                    let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
+                    let q_lo = (f16((q_byte & 0xF) | qh_lo)) * d + m;
+
+                    shmem[shmem_idx + j * 4u + k]        = q_lo; // store first weight
+                    shmem[shmem_idx + j * 4u + k + 16u]  = q_hi; // store second weight
+                }
+            }
+        }
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q5_1
+
+#ifdef INIT_SRC0_SHMEM_Q8_0
+const BLOCK_SIZE = 32u;
+// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
+override BLOCKS_K = TILE_K/BLOCK_SIZE;
+const NQ = 16u;
+const F16_PER_BLOCK = 17u; // 1 scale + 16 in array of weights
+const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+
+        let tile_m = blck_idx / BLOCKS_K;
+        let global_m = offset_m + tile_m;
+        let block_k = blck_idx % BLOCKS_K;
+        let global_k = k_outer / BLOCK_SIZE + block_k;
+
+        if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
+            let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
+            let scale_idx = src0_idx * F16_PER_BLOCK;
+            let d = src0[scale_idx];
+
+            for (var j = 0u; j < F16_PER_THREAD; j+=2) {
+                let q_0 = src0[scale_idx + 1u + block_offset + j];
+                let q_1 = src0[scale_idx + 1u + block_offset + j + 1];
+
+                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                for (var k = 0u; k < 4u; k++) {
+                    let q_byte = get_byte_i32(q_packed, k);
+
+                    let q_val = f16(q_byte) * d;
+                    shmem[shmem_idx + j * 2 + k] = q_val;
+                }
+            }
+        }
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q8_0
+
+#ifdef INIT_SRC0_SHMEM_Q8_1
+const BLOCK_SIZE = 32u;
+// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
+override BLOCKS_K = TILE_K/BLOCK_SIZE;
+const NQ = 16u;
+const F16_PER_BLOCK = 18u; // 1 scale + 1 mean + 8 32-bit values in array of weights
+const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread, 2 threads per block
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+
+        let tile_m = blck_idx / BLOCKS_K;
+        let global_m = offset_m + tile_m;
+        let block_k = blck_idx % BLOCKS_K;
+        let global_k = k_outer / BLOCK_SIZE + block_k;
+
+        if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
+            let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
+            let scale_idx = src0_idx * F16_PER_BLOCK;
+            let d = src0[scale_idx];
+            let m = src0[scale_idx + 1u];
+
+            for (var j = 0u; j < F16_PER_THREAD; j+=2) {
+                let q_0 = src0[scale_idx + 2u + block_offset + j];
+                let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
+
+                let q_packed = bitcast<u32>(vec2(q_0, q_1));
+                for (var k = 0u; k < 4u; k++) {
+                    let q_byte = get_byte_i32(q_packed, k);
+
+                    let q_val = f16(q_byte) * d + m;
+                    shmem[shmem_idx + j * 2 + k] = q_val;
+                }
+            }
+        }
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q8_1
+
+#ifdef INIT_SRC0_SHMEM_Q2_K
+const BLOCK_SIZE = 256u;
+const F16_PER_BLOCK = 42u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    // Use standard thread layout instead of lane/row_group
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
+        let scale_idx = src0_idx * F16_PER_BLOCK;
+
+        let d = src0[scale_idx + 40u];
+        let dmin = src0[scale_idx + 41u];
+
+        // Decode the element at position k_in_block
+        let block_of_32 = k_in_block / 32u;
+        let pos_in_32 = k_in_block % 32u;
+
+        let q_b_idx = (block_of_32 / 4u) * 32u;
+        let shift = (block_of_32 % 4u) * 2u;
+        let k = (pos_in_32 / 16u) * 16u;
+        let l = pos_in_32 % 16u;
+
+        let is = k_in_block / 16u;
+
+        let sc_0 = src0[scale_idx + 2u * (is / 4u)];
+        let sc_1 = src0[scale_idx + 2u * (is / 4u) + 1u];
+        let sc_packed = bitcast<u32>(vec2(sc_0, sc_1));
+        let sc = get_byte(sc_packed, is % 4u);
+
+        let dl = d * f16(sc & 0xFu);
+        let ml = dmin * f16(sc >> 4u);
+
+        let q_idx = q_b_idx + k + l;
+        let q_0 = src0[scale_idx + 8u + 2u * (q_idx / 4u)];
+        let q_1 = src0[scale_idx + 8u + 2u * (q_idx / 4u) + 1u];
+        let q_packed = bitcast<u32>(vec2(q_0, q_1));
+        let q_byte = get_byte(q_packed, q_idx % 4u);
+        let qs_val = (q_byte >> shift) & 3u;
+
+        let q_val = f16(qs_val) * dl - ml;
+        shmem[elem_idx] = q_val;
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q2_K
+
+#ifdef INIT_SRC0_SHMEM_Q3_K
+const BLOCK_SIZE = 256u;
+const F16_PER_BLOCK = 55u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
+        let scale_idx = src0_idx * F16_PER_BLOCK;
+
+        let d = src0[scale_idx + 54u];
+
+        // Load and unpack scales
+        let kmask1: u32 = 0x03030303u;
+        let kmask2: u32 = 0x0f0f0f0fu;
+
+        var scale_vals: array<u32, 4>;
+        for (var i: u32 = 0u; i < 4u; i++) {
+            let scale_0 = src0[scale_idx + 48u + (2u*i)];
+            let scale_1 = src0[scale_idx + 48u + (2u*i) + 1u];
+            scale_vals[i] = bitcast<u32>(vec2(scale_0, scale_1));
+        }
+
+        var tmp: u32 = scale_vals[2];
+        scale_vals[2] = ((scale_vals[0] >> 4u) & kmask2) | (((tmp >> 4u) & kmask1) << 4u);
+        scale_vals[3] = ((scale_vals[1] >> 4u) & kmask2) | (((tmp >> 6u) & kmask1) << 4u);
+        scale_vals[0] = (scale_vals[0] & kmask2) | ((tmp & kmask1) << 4u);
+        scale_vals[1] = (scale_vals[1] & kmask2) | (((tmp >> 2u) & kmask1) << 4u);
+
+        // Load hmask and qs arrays
+        var hmask_vals: array<u32, 8>;
+        for (var i: u32 = 0u; i < 8u; i++) {
+            let hmask_0 = src0[scale_idx + (2u*i)];
+            let hmask_1 = src0[scale_idx + (2u*i) + 1u];
+            hmask_vals[i] = bitcast<u32>(vec2(hmask_0, hmask_1));
+        }
+
+        var qs_vals: array<u32, 16>;
+        for (var i: u32 = 0u; i < 16u; i++) {
+            let qs_0 = src0[scale_idx + 16u + (2u*i)];
+            let qs_1 = src0[scale_idx + 16u + (2u*i) + 1u];
+            qs_vals[i] = bitcast<u32>(vec2(qs_0, qs_1));
+        }
+
+        let half = k_in_block / 128u;           // 0 or 1
+        let pos_in_half = k_in_block % 128u;    // 0-127
+        let shift_group = pos_in_half / 32u;    // 0-3
+        let pos_in_32 = pos_in_half % 32u;      // 0-31
+        let k_group = pos_in_32 / 16u;          // 0 or 1
+        let l = pos_in_32 % 16u;                // 0-15
+
+        let q_b_idx = half * 32u;               // 0 or 32
+        let shift = shift_group * 2u;           // 0, 2, 4, 6
+        let k = k_group * 16u;                  // 0 or 16
+        let is = k_in_block / 16u;              // 0-15
+
+        // m increments every 32 elements across entire 256 element block
+        let m_shift = k_in_block / 32u;         // 0-7
+        let m: u32 = 1u << m_shift;             // 1,2,4,8,16,32,64,128
+
+        let sc = get_byte(scale_vals[is / 4u], is % 4u);
+        let dl = d * (f16(sc) - 32.0);
+
+        let q_idx = q_b_idx + k + l;
+        let hm_idx = k + l;
+
+        let q_byte = get_byte(qs_vals[q_idx / 4u], q_idx % 4u);
+        let hmask_byte = get_byte(hmask_vals[hm_idx / 4u], hm_idx % 4u);
+
+        let hm = select(4.0, 0.0, (hmask_byte & m) != 0);
+        let qs_val = (q_byte >> shift) & 3u;
+
+        let q_val = (f16(qs_val) - f16(hm)) * dl;
+        shmem[elem_idx] = q_val;
+    }
+}
+
+#endif // INIT_SRC0_SHMEM_Q3_K
+
+#ifdef INIT_SRC0_SHMEM_Q4_K
+const BLOCK_SIZE = 256u;
+const F16_PER_BLOCK = 72u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
+        let scale_idx = src0_idx * F16_PER_BLOCK;
+
+        let d = src0[scale_idx];
+        let dmin = src0[scale_idx + 1u];
+
+        // Load packed scales
+        var scale_vals: array<u32, 3>;
+        for (var i: u32 = 0u; i < 3u; i++) {
+            let scale_0 = src0[scale_idx + 2u + (2u*i)];
+            let scale_1 = src0[scale_idx + 2u + (2u*i) + 1u];
+            scale_vals[i] = bitcast<u32>(vec2(scale_0, scale_1));
+        }
+
+        // Map k_in_block to loop structure:
+        // Outer loop over 64-element groups (alternating q_b_idx)
+        // Inner loop over 2 shifts per group
+        let group_of_64 = k_in_block / 64u;  // 0-3 (maps to q_b_idx)
+        let pos_in_64 = k_in_block % 64u;    // 0-63
+        let shift_group = pos_in_64 / 32u;   // 0 or 1
+        let l = pos_in_64 % 32u;             // 0-31
+
+        let q_b_idx = group_of_64 * 32u;     // 0, 32, 64, 96
+        let shift = shift_group * 4u;        // 0 or 4
+        let is = k_in_block / 32u;           // 0-7
+
+        var sc: u32;
+        var mn: u32;
+
+        if (is < 4u) {
+            let sc_byte = get_byte(scale_vals[is / 4u], is % 4u);
+            let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u);
+            sc = sc_byte & 63u;
+            mn = min_byte & 63u;
+        } else {
+            let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u);
+            let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u);
+            let min_hi = get_byte(scale_vals[is / 4u], is % 4u);
+
+            sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u);
+            mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u);
+        }
+
+        let dl = d * f16(sc);
+        let ml = dmin * f16(mn);
+
+        let q_idx = q_b_idx + l;
+        let q_0 = src0[scale_idx + 8u + 2u * (q_idx / 4u)];
+        let q_1 = src0[scale_idx + 8u + 2u * (q_idx / 4u) + 1u];
+        let q_packed = bitcast<u32>(vec2(q_0, q_1));
+
+        let q_byte = get_byte(q_packed, q_idx % 4u);
+        let qs_val = (q_byte >> shift) & 0xFu;
+
+        let q_val = f16(qs_val) * dl - ml;
+        shmem[elem_idx] = q_val;
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q4_K
+
+#ifdef INIT_SRC0_SHMEM_Q5_K
+const BLOCK_SIZE = 256u;
+const F16_PER_BLOCK = 88u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
+        let scale_idx = src0_idx * F16_PER_BLOCK;
+
+        let d = src0[scale_idx];
+        let dmin = src0[scale_idx + 1u];
+
+        // Load packed scales
+        var scale_vals: array<u32, 3>;
+        for (var i: u32 = 0u; i < 3u; i++) {
+            let scale_0 = src0[scale_idx + 2u + (2u*i)];
+            let scale_1 = src0[scale_idx + 2u + (2u*i) + 1u];
+            scale_vals[i] = bitcast<u32>(vec2(scale_0, scale_1));
+        }
+
+        // The original loop processes elements in groups of 64
+        // Each group of 64: q_b_idx cycles through [0,32,64,96], shift cycles [0,4]
+        // But u increments EVERY 32 elements (after each l loop)
+        let group_of_64 = k_in_block / 64u;  // 0-3
+        let pos_in_64 = k_in_block % 64u;    // 0-63
+        let shift_group = pos_in_64 / 32u;   // 0 or 1
+        let l = pos_in_64 % 32u;             // 0-31
+
+        let q_b_idx = group_of_64 * 32u;     // 0, 32, 64, 96
+        let shift = shift_group * 4u;        // 0 or 4
+        let is = k_in_block / 32u;           // 0-7
+
+        // u increments every 32 elements (0->1, 1->2, 2->4, 3->8, 4->16, 5->32, 6->64, 7->128)
+        let u_shift = k_in_block / 32u;      // 0-7
+        let u: u32 = 1u << u_shift;
+
+        var sc: u32;
+        var mn: u32;
+
+        if (is < 4u) {
+            let sc_byte = get_byte(scale_vals[is / 4u], is % 4u);
+            let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u);
+            sc = sc_byte & 63u;
+            mn = min_byte & 63u;
+        } else {
+            let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u);
+            let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u);
+            let min_hi = get_byte(scale_vals[is / 4u], is % 4u);
+
+            sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u);
+            mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u);
+        }
+
+        let dl = d * f16(sc);
+        let ml = dmin * f16(mn);
+
+        let q_idx = q_b_idx + l;
+        let q_0 = src0[scale_idx + 24u + 2u * (q_idx / 4u)];
+        let q_1 = src0[scale_idx + 24u + 2u * (q_idx / 4u) + 1u];
+        let q_packed = bitcast<u32>(vec2(q_0, q_1));
+
+        let q_byte = get_byte(q_packed, q_idx % 4u);
+
+        let qh_0 = src0[scale_idx + 8u + 2u * (l / 4u)];
+        let qh_1 = src0[scale_idx + 8u + 2u * (l / 4u) + 1u];
+        let qh_packed = bitcast<u32>(vec2(qh_0, qh_1));
+
+        let qh_byte = get_byte(qh_packed, l % 4u);
+
+        let qs_val = (q_byte >> shift) & 0xFu;
+        let qh_val = select(0.0, 16.0, (qh_byte & u) != 0);
+
+        let q_val = (f16(qs_val) + f16(qh_val)) * dl - ml;
+        shmem[elem_idx] = q_val;
+    }
+}
+
+#endif // INIT_SRC0_SHMEM_Q5_K
+
+#ifdef INIT_SRC0_SHMEM_Q6_K
+const BLOCK_SIZE = 256u;
+const F16_PER_BLOCK = 105u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
+        let scale_idx = src0_idx * F16_PER_BLOCK;
+
+        let half = k_in_block / 128u;
+        let pos_in_half = k_in_block % 128u;
+        let quarter = pos_in_half / 32u;
+        let l = pos_in_half % 32u;
+
+        let ql_b_idx = half * 64u;
+        let qh_b_idx = half * 32u;
+        let sc_b_idx = half * 8u;
+
+        // Load only ql13 word needed
+        let ql13_flat = ql_b_idx + l;
+        let ql13_word = ql13_flat / 4u;
+        let ql13 = bitcast<u32>(vec2(
+            src0[scale_idx + 2u * ql13_word],
+            src0[scale_idx + 2u * ql13_word + 1u]
+        ));
+        let ql13_b = get_byte(ql13, ql13_flat % 4u);
+
+        // Load only ql24 word needed
+        let ql24_flat = ql_b_idx + l + 32u;
+        let ql24_word = ql24_flat / 4u;
+        let ql24 = bitcast<u32>(vec2(
+            src0[scale_idx + 2u * ql24_word],
+            src0[scale_idx + 2u * ql24_word + 1u]
+        ));
+        let ql24_b = get_byte(ql24, ql24_flat % 4u);
+
+        // Load only qh word needed
+        let qh_flat = qh_b_idx + l;
+        let qh_word = qh_flat / 4u;
+        let qh = bitcast<u32>(vec2(
+            src0[scale_idx + 64u + 2u * qh_word],
+            src0[scale_idx + 64u + 2u * qh_word + 1u]
+        ));
+        let qh_b = get_byte(qh, qh_flat % 4u);
+
+        let q1 = f16((ql13_b & 0xFu) | ((qh_b & 3u) << 4u)) - f16(32.0);
+        let q2 = f16((ql24_b & 0xFu) | (((qh_b >> 2u) & 3u) << 4u)) - f16(32.0);
+        let q3 = f16((ql13_b >> 4u) | (((qh_b >> 4u) & 3u) << 4u)) - f16(32.0);
+        let q4 = f16((ql24_b >> 4u) | (((qh_b >> 6u) & 3u) << 4u)) - f16(32.0);
+
+        // Load only the scale word needed
+        let is = l / 16u;
+        let sc_idx = sc_b_idx + is + quarter * 2u;
+        let sc_word = sc_idx / 4u;
+        let sc = bitcast<u32>(vec2(
+            src0[scale_idx + 96u + 2u * sc_word],
+            src0[scale_idx + 96u + 2u * sc_word + 1u]
+        ));
+        let sc_val = get_byte_i32(sc, sc_idx % 4u);
+
+        let d = src0[scale_idx + 104u];
+
+        var q_val: f16;
+        if (quarter == 0u) {
+            q_val = q1;
+        } else if (quarter == 1u) {
+            q_val = q2;
+        } else if (quarter == 2u) {
+            q_val = q3;
+        } else {
+            q_val = q4;
+        }
+
+        shmem[elem_idx] = d * f16(sc_val) * q_val;
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q6_K
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
similarity index 53%
rename from ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
index 6b1dd26cd9e..b1da421a691 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
@@ -1,115 +1,19 @@
-#define(VARIANTS)
-[
-  {
-    "SHADER_SUFFIX": "f32_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f32>",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f32_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f32",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f16>",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f16_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f16>",
-      "SRC1_TYPE" : "vec4<f16>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f16",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f16",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "q4_0_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["BYTE_HELPERS", "VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_Q4_0", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "q4_0_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["BYTE_HELPERS", "SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_Q4_0", "INIT_SRC1_SHMEM"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(VEC)
+enable f16;
+
+#include "common_decls.tmpl"
+#include "mul_mat_decls.tmpl"
+
+#ifdef VEC
 fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> vec4<f32> {
     return vec4<f32>(f32(acc[tm][tn]), f32(acc[tm + 1][tn]), f32(acc[tm + 2][tn]), f32(acc[tm + 3][tn]));
 }
-#enddecl(VEC)
+#endif
 
-#decl(SCALAR)
+#ifdef SCALAR
 fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> f32 {
     return f32(acc[tm][tn]);
 }
-#enddecl(SCALAR)
-
-#end(DECLS)
-
-#define(SHADER)
-enable f16;
+#endif
 
 struct MulMatParams {
     offset_src0: u32,
@@ -130,14 +34,12 @@ struct MulMatParams {
     broadcast3: u32
 };
 
-@group(0) @binding(0) var<storage, read_write> src0: array<{{SRC0_TYPE}}>; // M rows, K columns
-@group(0) @binding(1) var<storage, read_write> src1: array<{{SRC1_TYPE}}>; // K rows, N columns (transposed)
-@group(0) @binding(2) var<storage, read_write> dst: array<{{DST_TYPE}}>; // M rows, N columns (transposed)
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // M rows, K columns
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // K rows, N columns (transposed)
+@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>; // M rows, N columns (transposed)
 
 @group(0) @binding(3) var<uniform> params: MulMatParams;
 
-DECLS
-
 fn get_local_n(thread_id: u32) -> u32 {
     return thread_id / WORKGROUP_SIZE_M;
 }
@@ -145,23 +47,16 @@ fn get_local_m(thread_id: u32) -> u32 {
     return thread_id % WORKGROUP_SIZE_M;
 }
 
-// TILE_M must be multiple of 4 for vec4 loads
-const TILE_M = {{WEBGPU_TILE_M}}u;
-const TILE_N = {{WEBGPU_TILE_N}}u;
-
-override WORKGROUP_SIZE_M: u32;
-override WORKGROUP_SIZE_N: u32;
-override TILE_K: u32;
-
-override TOTAL_WORKGROUP_SIZE = WORKGROUP_SIZE_M * WORKGROUP_SIZE_N;
-override TILE_SRC0_SHMEM = TILE_K * WORKGROUP_SIZE_M * TILE_M;
-override TILE_SRC1_SHMEM = TILE_K * WORKGROUP_SIZE_N * TILE_N;
+const TOTAL_WORKGROUP_SIZE = WORKGROUP_SIZE_M * WORKGROUP_SIZE_N;
+const TILE_SRC0_SHMEM = TILE_K * WORKGROUP_SIZE_M * TILE_M;
+const TILE_SRC1_SHMEM = TILE_K * WORKGROUP_SIZE_N * TILE_N;
 
 var<workgroup> shmem: array<f16, TILE_SRC0_SHMEM + TILE_SRC1_SHMEM>;
 
 @compute @workgroup_size(TOTAL_WORKGROUP_SIZE)
 fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
-        @builtin(local_invocation_id) local_id: vec3<u32>) {
+        @builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
 
     let thread_id = local_id.x;
     let local_m = get_local_m(thread_id);
@@ -171,9 +66,16 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let wg_m_count = (params.m + WORKGROUP_SIZE_M * TILE_M - 1u) / (WORKGROUP_SIZE_M * TILE_M);
     let wg_per_matrix = wg_m_count * wg_n_count;
 
-    let batch_idx = wg_id.x / wg_per_matrix;
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+
+    let batch_idx = wg_linear / wg_per_matrix;
 
-    let wg_in_batch = wg_id.x % wg_per_matrix;
+    let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
+    if (batch_idx >= total_batches) {
+        return;
+    }
+
+    let wg_in_batch = wg_linear % wg_per_matrix;
     let wg_m = wg_in_batch % wg_m_count;
     let wg_n = wg_in_batch / wg_m_count;
 
@@ -233,15 +135,13 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     for (var tn = 0u; tn < TILE_N; tn++) {
         let global_col = output_col_base + tn;
         if (global_col < params.n) {
-            for (var tm = 0u; tm < TILE_M; tm += {{VEC_SIZE}}) {
+            for (var tm = 0u; tm < TILE_M; tm += VEC_SIZE) {
                 let global_row = output_row_base + tm;
                 if (global_row < params.m) {
                     let dst_idx = dst_batch_offset + global_col * params.m + global_row;
-                    dst[dst_idx/{{VEC_SIZE}}] = store_val(acc, tn, tm);
+                    dst[dst_idx/VEC_SIZE] = store_val(acc, tn, tm);
                 }
             }
         }
     }
 }
-
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
similarity index 64%
rename from ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
index 47c8ce36ab3..9f9ef279f29 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
@@ -1,100 +1,12 @@
-#define(VARIANTS)
-[
-  {
-    "SHADER_SUFFIX": "f32_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f32>",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f32_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f32",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f16>",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f16_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f16>",
-      "SRC1_TYPE" : "vec4<f16>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f16",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f16",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "q4_0_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE" : "vec4<f32>",
-      "SHMEM_TYPE" : "vec4<f16>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["BYTE_HELPERS", "VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_Q4_0", "INIT_SRC1_SHMEM"]
-  },
-  {
-    "SHADER_SUFFIX": "q4_0_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE" : "f32",
-      "SHMEM_TYPE" : "f16",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["BYTE_HELPERS", "SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_Q4_0", "INIT_SRC1_SHMEM"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(VEC)
+diagnostic(off, chromium.subgroup_matrix_uniformity);
+enable f16;
+enable subgroups;
+enable chromium_experimental_subgroup_matrix;
+
+#include "common_decls.tmpl"
+#include "mul_mat_decls.tmpl"
+
+#ifdef VEC
 fn store_dst(shmem_idx: u32, dst_idx: u32) {
     dst[dst_idx] = vec4<f32>(
         f32(shmem[shmem_idx]),
@@ -103,21 +15,13 @@ fn store_dst(shmem_idx: u32, dst_idx: u32) {
         f32(shmem[shmem_idx + 3])
     );
 }
-#enddecl(VEC)
+#endif
 
-#decl(SCALAR)
+#ifdef SCALAR
 fn store_dst(shmem_idx: u32, dst_idx: u32) {
     dst[dst_idx] = f32(shmem[shmem_idx]);
 }
-#enddecl(SCALAR)
-
-#end(DECLS)
-
-#define(SHADER)
-diagnostic(off, chromium.subgroup_matrix_uniformity);
-enable f16;
-enable subgroups;
-enable chromium_experimental_subgroup_matrix;
+#endif
 
 struct MulMatParams {
     offset_src0: u32,
@@ -138,36 +42,19 @@ struct MulMatParams {
     broadcast3: u32
 };
 
-@group(0) @binding(0) var<storage, read_write> src0: array<{{SRC0_TYPE}}>; // M rows, K columns
-@group(0) @binding(1) var<storage, read_write> src1: array<{{SRC1_TYPE}}>; // K rows, N columns (transposed)
-@group(0) @binding(2) var<storage, read_write> dst: array<{{DST_TYPE}}>; // M rows, N columns (transposed)
+// SRC0_TYPE and SRC1_TYPE are defined in mul_mat_decls, which is included
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // M rows, K columns
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // K rows, N columns (transposed)
+@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>; // M rows, N columns (transposed)
 
 @group(0) @binding(3) var<uniform> params: MulMatParams;
 
-DECLS
+const WG_M_SG_TILE_SIZE = SUBGROUP_M * SUBGROUP_MATRIX_M * SUBGROUP_MATRIX_M_SIZE;
+const WG_N_SG_TILE_SIZE = SUBGROUP_N * SUBGROUP_MATRIX_N * SUBGROUP_MATRIX_N_SIZE;
 
-// Note: These are string interpolated at build time, cannot use override constants due to limitations in
-// current Dawn version type definitions/matrix load requirements for constant memory sizes.
-const SUBGROUP_M = {{WEBGPU_SUBGROUP_M}}u;
-const SUBGROUP_N = {{WEBGPU_SUBGROUP_N}}u;
 // For portability we assume the max subgroup size, meaning some subgroups will be masked out if the
 // runtime subgroup size is smaller.
-const MAX_SUBGROUP_SIZE = {{WEBGPU_MAX_SUBGROUP_SIZE}}u;
-
 const EXPECTED_SUBGROUPS = SUBGROUP_M * SUBGROUP_N;
-
-const SUBGROUP_MATRIX_M_SIZE = {{WEBGPU_SG_MAT_M_SIZE}}u;
-const SUBGROUP_MATRIX_N_SIZE = {{WEBGPU_SG_MAT_N_SIZE}}u;
-const SUBGROUP_MATRIX_K_SIZE = {{WEBGPU_SG_MAT_K_SIZE}}u;
-
-const SUBGROUP_MATRIX_M = {{WEBGPU_SUBGROUP_MATRIX_M}}u;
-const SUBGROUP_MATRIX_N = {{WEBGPU_SUBGROUP_MATRIX_N}}u;
-
-const TILE_K = {{WEBGPU_TILE_K}}u;
-
-const WG_M_SG_TILE_SIZE = SUBGROUP_M * SUBGROUP_MATRIX_M * SUBGROUP_MATRIX_M_SIZE;
-const WG_N_SG_TILE_SIZE = SUBGROUP_N * SUBGROUP_MATRIX_N * SUBGROUP_MATRIX_N_SIZE;
-
 const TOTAL_WORKGROUP_SIZE = SUBGROUP_M * SUBGROUP_N * MAX_SUBGROUP_SIZE;
 const TILE_SRC0_SHMEM = TILE_K * SUBGROUP_M * SUBGROUP_MATRIX_M * SUBGROUP_MATRIX_M_SIZE;
 const TILE_SRC1_SHMEM = TILE_K * SUBGROUP_N * SUBGROUP_MATRIX_N * SUBGROUP_MATRIX_N_SIZE;
@@ -182,7 +69,8 @@ var<workgroup> shmem: array<f16, SHMEM_SIZE>;
 @compute @workgroup_size(TOTAL_WORKGROUP_SIZE)
 fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
         @builtin(local_invocation_id) local_id: vec3<u32>,
-        @builtin(subgroup_id) subgroup_id: u32) {
+        @builtin(subgroup_id) subgroup_id: u32,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
 
     let thread_id = local_id.x;
     let subgroup_m = subgroup_id % SUBGROUP_M;
@@ -192,9 +80,16 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let wg_n_count = (params.n + WG_N_SG_TILE_SIZE - 1) / WG_N_SG_TILE_SIZE;
     let wg_per_matrix = wg_m_count * wg_n_count;
 
-    let batch_idx = wg_id.x / wg_per_matrix;
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+
+    let batch_idx = wg_linear / wg_per_matrix;
+
+    let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
+    if (batch_idx >= total_batches) {
+        return;
+    }
 
-    let wg_in_batch = wg_id.x % wg_per_matrix;
+    let wg_in_batch = wg_linear % wg_per_matrix;
     let wg_m = wg_in_batch % wg_m_count;
     let wg_n = wg_in_batch / wg_m_count;
 
@@ -285,7 +180,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let tile_dst_row_base = wg_m * SUBGROUP_M * SUBGROUP_MATRIX_M * SUBGROUP_MATRIX_M_SIZE;
     let tile_dst_col_base = wg_n * SUBGROUP_N * SUBGROUP_MATRIX_N * SUBGROUP_MATRIX_N_SIZE;
 
-    for (var idx = thread_id * {{VEC_SIZE}}; idx < total_tile_elems; idx += TOTAL_WORKGROUP_SIZE * {{VEC_SIZE}}) {
+    for (var idx = thread_id * VEC_SIZE; idx < total_tile_elems; idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
         let local_row = idx % WG_TILE_STRIDE;
         let local_col = idx / WG_TILE_STRIDE;
 
@@ -294,9 +189,8 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
         if (global_col < params.n && global_row < params.m) {
             let dst_idx = dst_batch_offset + global_col * params.m + global_row;
-            store_dst(idx, dst_idx/{{VEC_SIZE}});
+            store_dst(idx, dst_idx/VEC_SIZE);
         }
     }
 }
 
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.tmpl.wgsl
deleted file mode 100644
index ffbb6403285..00000000000
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.tmpl.wgsl
+++ /dev/null
@@ -1,267 +0,0 @@
-#define(VARIANTS)
-[
-  {
-    "SHADER_SUFFIX": "f32_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f32>",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE": "vec4<f32>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "MUL_ACC_FLOAT"]
-  },
-  {
-    "SHADER_SUFFIX": "f32_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f32",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE": "f32",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "MUL_ACC_FLOAT"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f32_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f16>",
-      "SRC1_TYPE" : "vec4<f32>",
-      "DST_TYPE": "vec4<f32>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "MUL_ACC_FLOAT"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE": "f32",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "MUL_ACC_FLOAT"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f16_vec",
-    "REPLS": {
-      "SRC0_TYPE" : "vec4<f16>",
-      "SRC1_TYPE" : "vec4<f16>",
-      "DST_TYPE": "vec4<f32>",
-      "VEC_SIZE" : 4,
-    },
-    "DECLS": ["VEC", "MUL_ACC_FLOAT"]
-  },
-  {
-    "SHADER_SUFFIX": "f16_f16",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f16",
-      "DST_TYPE": "f32",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["SCALAR", "MUL_ACC_FLOAT"]
-  },
-  {
-    "SHADER_SUFFIX": "q4_0_f32",
-    "REPLS": {
-      "SRC0_TYPE" : "f16",
-      "SRC1_TYPE" : "f32",
-      "DST_TYPE": "f32",
-      "VEC_SIZE" : 1,
-    },
-    "DECLS": ["BYTE_HELPERS", "SCALAR", "MUL_ACC_Q4_0"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(VEC)
-fn inner_dot(src0_val: {{SRC0_TYPE}}, src1_val: {{SRC1_TYPE}}) -> f32 {
-    return f32(dot({{SRC1_TYPE}}(src0_val), src1_val));
-}
-
-fn store_val(group_base: u32) -> vec4<f32> {
-    return vec4<f32>(partial_sums[group_base],
-                     partial_sums[group_base + THREADS_PER_OUTPUT],
-                     partial_sums[group_base + THREADS_PER_OUTPUT * 2],
-                     partial_sums[group_base + THREADS_PER_OUTPUT * 3]);
-}
-#enddecl(VEC)
-
-#decl(SCALAR)
-fn inner_dot(src0_val: {{SRC0_TYPE}}, src1_val: {{SRC1_TYPE}}) -> f32 {
-    return f32(src0_val) * f32(src1_val);
-}
-
-fn store_val(group_base: u32) -> f32 {
-    return partial_sums[group_base];
-}
-#enddecl(SCALAR)
-
-#decl(MUL_ACC_FLOAT)
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * {{VEC_SIZE}}; i < tile_size; i += THREADS_PER_OUTPUT * {{VEC_SIZE}}) {
-        let a = src0[(idx_base + k_outer + i) / {{VEC_SIZE}}];
-        let b = shared_vector[i / {{VEC_SIZE}}];
-        local_sum += inner_dot(a, b);
-    }
-    return local_sum;
-}
-
-#enddecl(MUL_ACC_FLOAT)
-
-#decl(MUL_ACC_Q4_0)
-
-const BLOCK_SIZE = 32;
-const NQ = 16u; // number of weights per thread
-const F16_PER_BLOCK = 9u; // 1 scale + 8x4 packed weights
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(src0[scale_idx]);
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_0 = src0[scale_idx + 1 + block_offset + j];
-            let q_1 = src0[scale_idx + 1 + block_offset + j + 1];
-            let q_packed = bitcast<u32>(vec2(q_0, q_1));
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-                let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * d;
-                let q_lo = (f32(q_byte & 0xF) - 8.0) * d;
-                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
-            }
-        }
-    }
-    return local_sum;
-}
-
-#enddecl(MUL_ACC_Q4_0)
-
-#end(DECLS)
-
-#define(SHADER)
-enable f16;
-
-DECLS
-
-struct MulMatParams {
-    offset_src0: u32,
-    offset_src1: u32,
-    offset_dst: u32,
-    m: u32,
-    n: u32,
-    k: u32,
-    stride_01: u32,
-    stride_11: u32,
-    stride_02: u32,
-    stride_12: u32,
-    stride_03: u32,
-    stride_13: u32,
-    bs02: u32,
-    bs03: u32,
-    broadcast2: u32,
-    broadcast3: u32
-};
-
-@group(0) @binding(0) var<storage, read_write> src0: array<{{SRC0_TYPE}}>; // Matrix (M x K)
-@group(0) @binding(1) var<storage, read_write> src1: array<{{SRC1_TYPE}}>; // Vector (K x 1, transposed)
-@group(0) @binding(2) var<storage, read_write> dst: array<{{DST_TYPE}}>;  // Result vector (transposed)
-
-@group(0) @binding(3) var<uniform> params: MulMatParams;
-
-override WORKGROUP_SIZE: u32;
-override TILE_K: u32;
-override OUTPUTS_PER_WG: u32;
-override THREADS_PER_OUTPUT = WORKGROUP_SIZE / OUTPUTS_PER_WG;
-
-// Shared memory for collaborative loading and reduction
-var<workgroup> shared_vector: array<{{SRC1_TYPE}}, TILE_K/{{VEC_SIZE}}>;  // Cache vector tile
-var<workgroup> partial_sums: array<f32, WORKGROUP_SIZE>;   // For reduction
-
-@compute @workgroup_size(WORKGROUP_SIZE)
-fn main(
-    @builtin(local_invocation_id) local_id: vec3<u32>,
-    @builtin(workgroup_id) wg_id: vec3<u32>,
-    @builtin(num_workgroups) num_wg: vec3<u32>) {
-    let thread_id = local_id.x;
-
-    // Handle batch dimensions
-    let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
-    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
-    let output_groups = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG;
-    let batch_idx = wg_linear / output_groups;
-    if (batch_idx >= total_batches) {
-        return;
-    }
-
-    // Which of the outputs does this thread belong to?
-    let thread_group = thread_id / THREADS_PER_OUTPUT;
-    let thread_in_group = thread_id % THREADS_PER_OUTPUT;
-
-    // Each workgroup computes OUTPUTS_PER_WG consecutive outputs
-    let output_row = (wg_linear % output_groups) * OUTPUTS_PER_WG + thread_group;
-
-    let dst2_stride = params.m * params.n;
-    let dst2_idx = batch_idx % (params.bs02 * params.broadcast2);
-    let dst3_stride = dst2_stride * params.bs02 * params.broadcast2;
-    let dst3_idx = batch_idx / (params.bs02 * params.broadcast2);
-    let src03_idx = dst3_idx / params.broadcast3;
-    let src13_idx = dst3_idx;
-    let src02_idx = dst2_idx / params.broadcast2;
-    let src12_idx = dst2_idx;
-
-    let src0_idx_base = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02 + output_row * params.stride_01;
-    let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12;
-    let dst_idx = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + output_row;
-
-    var local_sum = 0.0;
-
-    // Each thread processes multiple K elements and accumulates
-    for (var k_tile = 0u; k_tile < params.k; k_tile += TILE_K) {
-        let tile_size = min(TILE_K, params.k - k_tile);
-
-        // Cooperatively load vector tile into shared memory (all threads)
-        for (var i = thread_id * {{VEC_SIZE}}; i < tile_size; i += WORKGROUP_SIZE * {{VEC_SIZE}}) {
-            shared_vector[i / {{VEC_SIZE}}] = src1[(src1_idx_base + k_tile + i) / {{VEC_SIZE}}];
-        }
-
-        workgroupBarrier();
-
-        if (output_row < params.m) {
-            local_sum += mul_acc(thread_in_group, tile_size, src0_idx_base, k_tile);
-        }
-
-        workgroupBarrier();
-    }
-
-    // Store partial sums and reduce within each partition
-    partial_sums[thread_id] = local_sum;
-    workgroupBarrier();
-    let group_base = thread_group * THREADS_PER_OUTPUT;
-    let thread_base = group_base + thread_in_group;
-    var offset = THREADS_PER_OUTPUT / 2;
-    while (offset > 0) {
-        if (thread_in_group < offset) {
-            partial_sums[thread_base] += partial_sums[thread_base + offset];
-        }
-        offset = offset / 2;
-        workgroupBarrier();
-    }
-
-    // Store back to global memory
-    if (output_row < params.m && thread_group % {{VEC_SIZE}} == 0 && thread_in_group == 0) {
-        dst[dst_idx / {{VEC_SIZE}}] = store_val(group_base);
-    }
-}
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
new file mode 100644
index 00000000000..94f4bae11f4
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
@@ -0,0 +1,480 @@
+enable f16;
+
+#include "common_decls.tmpl"
+
+#ifdef VEC
+
+#define VEC_SIZE 4
+#define DST_TYPE vec4<f32>
+#define SRC0_TYPE vec4<SRC0_INNER_TYPE>
+#define SRC1_TYPE vec4<SRC1_INNER_TYPE>
+
+fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
+    return f32(dot(SRC1_TYPE(src0_val), src1_val));
+}
+
+fn store_val(group_base: u32) -> vec4<f32> {
+    return vec4<f32>(partial_sums[group_base],
+                     partial_sums[group_base + THREADS_PER_OUTPUT],
+                     partial_sums[group_base + THREADS_PER_OUTPUT * 2],
+                     partial_sums[group_base + THREADS_PER_OUTPUT * 3]);
+}
+#endif
+
+#ifdef SCALAR
+
+#define VEC_SIZE 1
+#define DST_TYPE f32
+#define SRC0_TYPE SRC0_INNER_TYPE
+#define SRC1_TYPE SRC1_INNER_TYPE
+
+fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
+    return f32(src0_val) * f32(src1_val);
+}
+
+fn store_val(group_base: u32) -> f32 {
+    return partial_sums[group_base];
+}
+#endif
+
+#ifdef MUL_ACC_FLOAT
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * VEC_SIZE; i < tile_size; i += THREADS_PER_OUTPUT * VEC_SIZE) {
+        let a = src0[(idx_base + k_outer + i) / VEC_SIZE];
+        let b = shared_vector[i / VEC_SIZE];
+        local_sum += inner_dot(a, b);
+    }
+    return local_sum;
+}
+#endif
+
+#ifdef MUL_ACC_Q4_0
+
+const BLOCK_SIZE = 32;
+const NQ = 16u; // number of weights per thread
+const F16_PER_BLOCK = 9u; // 1 scale + 8x4 packed weights
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
+        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+        let d = f32(src0[scale_idx]);
+        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+            let q_0 = src0[scale_idx + 1 + block_offset + j];
+            let q_1 = src0[scale_idx + 1 + block_offset + j + 1];
+            let q_packed = bitcast<u32>(vec2(q_0, q_1));
+            for (var k: u32 = 0; k < 4; k++) {
+                let q_byte = get_byte(q_packed, k);
+                let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * d;
+                let q_lo = (f32(q_byte & 0xF) - 8.0) * d;
+                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
+                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
+            }
+        }
+    }
+    return local_sum;
+}
+#endif
+
+#ifdef MUL_ACC_Q4_1
+
+const BLOCK_SIZE = 32;
+const NQ = 16u; // number of weights per thread
+const F16_PER_BLOCK = 10u;
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
+        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+        let d = f32(src0[scale_idx]);
+        let m = f32(src0[scale_idx + 1u]);
+        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+            let q_0 = src0[scale_idx + 2u + block_offset + j];
+            let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
+            let q_packed = bitcast<u32>(vec2(q_0, q_1));
+            for (var k: u32 = 0; k < 4; k++) {
+                let q_byte = get_byte(q_packed, k);
+                let q_hi = f32((q_byte >> 4) & 0xF) * d + m;
+                let q_lo = f32(q_byte & 0xF) * d + m;
+                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
+                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
+            }
+        }
+    }
+    return local_sum;
+}
+#endif
+
+#ifdef MUL_ACC_Q5_0
+
+const BLOCK_SIZE = 32;
+const NQ = 16u; // number of weights per thread
+const F16_PER_BLOCK = 11u;
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
+        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+        let d = f32(src0[scale_idx]);
+        let qh0 = src0[scale_idx + 1u];
+        let qh1 = src0[scale_idx + 2u];
+        let qh_packed = bitcast<u32>(vec2(qh0, qh1));
+
+        for (var j = 0u; j < 2; j++) {
+            let q_0 = src0[scale_idx + 3u + block_offset + (j*2)];
+            let q_1 = src0[scale_idx + 3u + block_offset + (j*2) + 1u];
+            let q_packed = bitcast<u32>(vec2(q_0, q_1));
+
+            let j_adjusted = j + (block_offset / 2u);
+
+            for (var k: u32 = 0; k < 4; k++) {
+                let q_byte = get_byte(q_packed, k);
+
+                let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
+                let q_hi = (f32(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d;
+                let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
+                let q_lo = (f32((q_byte & 0xF) | qh_lo) - 16.0) * d;
+
+                local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k];
+                local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16];
+            }
+
+        }
+    }
+    return local_sum;
+}
+#endif
+
+
+#ifdef MUL_ACC_Q5_1
+
+const BLOCK_SIZE = 32;
+const NQ = 16u; // number of weights per thread
+const F16_PER_BLOCK = 12u;
+const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
+        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+        let d = f32(src0[scale_idx]);
+        let m = src0[scale_idx + 1u];
+        let qh0 = src0[scale_idx + 2u];
+        let qh1 = src0[scale_idx + 3u];
+        let qh_packed = bitcast<u32>(vec2(qh0, qh1));
+
+        for (var j = 0u; j < 2; j++) {
+            let q_0 = src0[scale_idx + 4u + block_offset + (j*2)];
+            let q_1 = src0[scale_idx + 4u + block_offset + (j*2) + 1u];
+            let q_packed = bitcast<u32>(vec2(q_0, q_1));
+
+            let j_adjusted = j + (block_offset / 2u);
+
+            for (var k: u32 = 0; k < 4; k++) {
+                let q_byte = get_byte(q_packed, k);
+
+                let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
+                let q_hi = f32(((q_byte >> 4) & 0xF) | qh_hi) * d + f32(m);
+                let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
+                let q_lo = f32((q_byte & 0xF) | qh_lo) * d + f32(m);
+
+                local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k];
+                local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16];
+            }
+
+        }
+    }
+    return local_sum;
+}
+#endif
+
+
+#ifdef MUL_ACC_Q8_0
+
+const BLOCK_SIZE = 32;
+const NQ = 16u; // number of weights per thread
+const F16_PER_BLOCK = 17u;
+const WEIGHTS_PER_F16 = 2u;
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
+        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+        let d = f32(src0[scale_idx]);
+
+        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+            let q_0 = src0[scale_idx + 1 + block_offset + j];
+            let q_1 = src0[scale_idx + 1 + block_offset + j + 1];
+            let q_packed = bitcast<u32>(vec2(q_0, q_1));
+            for (var k: u32 = 0; k < 4; k++) {
+                let q_byte = get_byte_i32(q_packed, k);
+                let q_val = f32(q_byte) * d;
+                local_sum += q_val * shared_vector[shmem_idx + j * 2 + k];
+            }
+        }
+    }
+    return local_sum;
+}
+#endif
+
+
+#ifdef MUL_ACC_Q8_1
+
+const BLOCK_SIZE = 32;
+const NQ = 16u; // number of weights per thread
+const F16_PER_BLOCK = 18u;
+const WEIGHTS_PER_F16 = 2u;
+const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
+
+fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    var local_sum = 0.0;
+    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
+        let blck_idx = i / BLOCK_SIZE;
+        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
+        let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK;
+        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
+        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
+        let d = f32(src0[scale_idx]);
+        let m = src0[scale_idx + 1u];
+
+        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
+            let q_0 = src0[scale_idx + 2u + block_offset + j];
+            let q_1 = src0[scale_idx + 2u + block_offset + j + 1];
+            let q_packed = bitcast<u32>(vec2(q_0, q_1));
+            for (var k: u32 = 0; k < 4; k++) {
+                let q_byte = get_byte_i32(q_packed, k);
+                let q_val = f32(q_byte) * d + f32(m);
+                local_sum += q_val * shared_vector[shmem_idx + j * 2 + k];
+            }
+        }
+    }
+    return local_sum;
+}
+#endif
+
+#ifdef MUL_ACC_Q6_K
+
+const BLOCK_SIZE = 256u;
+const F16_PER_BLOCK = 105u;
+
+fn load_u32_at(bbase: u32, byte_offset: u32) -> u32 {
+    let aligned = byte_offset & ~3u;
+    let idx = bbase + aligned / 2u;
+    return bitcast<u32>(vec2(src0[idx], src0[idx + 1u]));
+}
+
+fn byte_of(v: u32, b: u32) -> u32 {
+    return (v >> (b * 8u)) & 0xFFu;
+}
+
+fn sbyte_of(v: u32, b: u32) -> i32 {
+    let raw = i32((v >> (b * 8u)) & 0xFFu);
+    return select(raw, raw - 256, raw >= 128);
+}
+
+fn mul_acc(tig: u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
+    let tid = tig / 2u;
+    let ix  = tig % 2u;
+    let ip  = tid / 8u;
+    let il  = tid % 8u;
+    let l0  = 4u * il;
+    let is  = 8u * ip + l0 / 16u;
+
+    let y_offset   = 128u * ip + l0;
+    let q_offset_l =  64u * ip + l0;
+    let q_offset_h =  32u * ip + l0;
+
+    let nb = tile_size / BLOCK_SIZE;
+    let k_block_start = k_outer / BLOCK_SIZE;
+
+    // Aligned scale byte position (is can be odd)
+    let sc_base_byte = 192u + (is & ~3u);
+    let sc_byte_pos  = is & 3u;
+
+    var local_sum = 0.0;
+
+    for (var i = ix; i < nb; i += 2u) {
+        let bbase = (idx_base + k_block_start + i) * F16_PER_BLOCK;
+
+        let d_raw = load_u32_at(bbase, 208u);
+        let d = f32(bitcast<vec2<f16>>(d_raw)[0]);
+
+        let ql1_u32  = load_u32_at(bbase, q_offset_l);
+        let ql2_u32  = load_u32_at(bbase, q_offset_l + 32u);
+        let qh_u32   = load_u32_at(bbase, 128u + q_offset_h);
+        let sc_u32_0 = load_u32_at(bbase, sc_base_byte);
+        let sc_u32_1 = load_u32_at(bbase, sc_base_byte + 4u);
+
+        let sc0 = sbyte_of(sc_u32_0, sc_byte_pos);
+        let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u);
+        let sc4 = sbyte_of(sc_u32_1, sc_byte_pos);
+        let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u);
+
+        var sums = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+
+        for (var l = 0u; l < 4u; l++) {
+            let y_base = i * BLOCK_SIZE + y_offset + l;
+            let yl0 = f32(shared_vector[y_base]);
+            let yl1 = f32(shared_vector[y_base + 32u]);
+            let yl2 = f32(shared_vector[y_base + 64u]);
+            let yl3 = f32(shared_vector[y_base + 96u]);
+
+            let q1b = byte_of(ql1_u32, l);
+            let q2b = byte_of(ql2_u32, l);
+            let qhb = byte_of(qh_u32,  l);
+
+            let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32);
+            let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32);
+            let dq2 = f32(i32((q1b >>   4u) | ((qhb & 0x30u)       )) - 32);
+            let dq3 = f32(i32((q2b >>   4u) | ((qhb & 0xC0u) >> 2u)) - 32);
+
+            sums[0] += yl0 * dq0;
+            sums[1] += yl1 * dq1;
+            sums[2] += yl2 * dq2;
+            sums[3] += yl3 * dq3;
+        }
+
+        local_sum += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) +
+                          sums[2] * f32(sc4) + sums[3] * f32(sc6));
+    }
+
+    return local_sum;
+}
+#endif
+
+struct MulMatParams {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+    m: u32,
+    n: u32,
+    k: u32,
+    stride_01: u32,
+    stride_11: u32,
+    stride_02: u32,
+    stride_12: u32,
+    stride_03: u32,
+    stride_13: u32,
+    bs02: u32,
+    bs03: u32,
+    broadcast2: u32,
+    broadcast3: u32
+};
+
+// SRC0_TYPE and SRC1_TYPE are defined in mul_mat_decls, which is included
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // M rows, K columns
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // K rows, N columns (transposed)
+@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>; // M rows, N columns (transposed)
+
+@group(0) @binding(3) var<uniform> params: MulMatParams;
+
+const THREADS_PER_OUTPUT = WG_SIZE / OUTPUTS_PER_WG;
+
+// Shared memory for collaborative loading and reduction
+var<workgroup> shared_vector: array<SRC1_TYPE, TILE_K/VEC_SIZE>;  // Cache vector tile
+var<workgroup> partial_sums: array<f32, WG_SIZE>;   // For reduction
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(local_invocation_id) local_id: vec3<u32>,
+    @builtin(workgroup_id) wg_id: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>) {
+    let thread_id = local_id.x;
+
+    // Handle batch dimensions
+    let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+    let output_groups = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG;
+    let batch_idx = wg_linear / output_groups;
+    if (batch_idx >= total_batches) {
+        return;
+    }
+
+    // Which of the outputs does this thread belong to?
+    let thread_group = thread_id / THREADS_PER_OUTPUT;
+    let thread_in_group = thread_id % THREADS_PER_OUTPUT;
+
+    // Each workgroup computes OUTPUTS_PER_WG consecutive outputs
+    let output_row = (wg_linear % output_groups) * OUTPUTS_PER_WG + thread_group;
+
+    let dst2_stride = params.m * params.n;
+    let dst2_idx = batch_idx % (params.bs02 * params.broadcast2);
+    let dst3_stride = dst2_stride * params.bs02 * params.broadcast2;
+    let dst3_idx = batch_idx / (params.bs02 * params.broadcast2);
+    let src03_idx = dst3_idx / params.broadcast3;
+    let src13_idx = dst3_idx;
+    let src02_idx = dst2_idx / params.broadcast2;
+    let src12_idx = dst2_idx;
+
+    let src0_idx_base = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02 + output_row * params.stride_01;
+    let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12;
+    let dst_idx = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + output_row;
+
+    var local_sum = 0.0;
+
+    // Each thread processes multiple K elements and accumulates
+    for (var k_tile = 0u; k_tile < params.k; k_tile += TILE_K) {
+        let tile_size = min(TILE_K, params.k - k_tile);
+
+        // Cooperatively load vector tile into shared memory (all threads)
+        for (var i = thread_id * VEC_SIZE; i < tile_size; i += WG_SIZE * VEC_SIZE) {
+            shared_vector[i / VEC_SIZE] = src1[(src1_idx_base + k_tile + i) / VEC_SIZE];
+        }
+
+        workgroupBarrier();
+
+        if (output_row < params.m) {
+            local_sum += mul_acc(thread_in_group, tile_size, src0_idx_base, k_tile);
+        }
+
+        workgroupBarrier();
+    }
+
+    // Store partial sums and reduce within each partition
+    partial_sums[thread_id] = local_sum;
+    workgroupBarrier();
+    let group_base = thread_group * THREADS_PER_OUTPUT;
+    let thread_base = group_base + thread_in_group;
+    var offset: u32 = THREADS_PER_OUTPUT / 2;
+    while (offset > 0) {
+        if (thread_in_group < offset) {
+            partial_sums[thread_base] += partial_sums[thread_base + offset];
+        }
+        offset = offset / 2;
+        workgroupBarrier();
+    }
+
+    // Store back to global memory
+    if (output_row < params.m && thread_group % VEC_SIZE == 0 && thread_in_group == 0) {
+        dst[dst_idx / VEC_SIZE] = store_val(group_base);
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/repeat.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/repeat.wgsl
new file mode 100644
index 00000000000..6e2a1a8b614
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/repeat.wgsl
@@ -0,0 +1,67 @@
+enable f16;
+
+struct Params {
+    ne: u32,
+
+    offset_src0: u32,
+    offset_dst: u32,
+
+    stride_src0_0: u32,
+    stride_src0_1: u32,
+    stride_src0_2: u32,
+    stride_src0_3: u32,
+
+    a_ne0: u32,
+    a_ne1: u32,
+    a_ne2: u32,
+    a_ne3: u32,
+
+    ne0: u32,
+    ne1: u32,
+    ne2: u32,
+};
+
+#ifdef TYPE_F32
+#define DataType f32
+#endif
+#ifdef TYPE_I32
+#define DataType i32
+#endif
+#ifdef TYPE_I16
+// same size (16-bit) is sufficient for repeat
+#define DataType f16
+#endif
+
+@group(0) @binding(0)
+var<storage, read_write> src0: array<DataType>;
+
+@group(0) @binding(1)
+var<storage, read_write> dst: array<DataType>;
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
+    if (gid.x < params.ne) {
+        var i = gid.x;
+        let i3 = i / (params.ne2 * params.ne1 * params.ne0);
+        i = i % (params.ne2 * params.ne1 * params.ne0);
+        let i2 = i / (params.ne1 * params.ne0);
+        i = i % (params.ne1 * params.ne0);
+        let i1 = i / params.ne0;
+        let i0 = i % params.ne0;
+
+        let a_i0 = i0 % params.a_ne0;
+        let a_i1 = i1 % params.a_ne1;
+        let a_i2 = i2 % params.a_ne2;
+        let a_i3 = i3 % params.a_ne3;
+
+        let a_index = a_i0 * params.stride_src0_0 +
+                           a_i1 * params.stride_src0_1 +
+                           a_i2 * params.stride_src0_2 +
+                           a_i3 * params.stride_src0_3;
+
+        dst[params.offset_dst + gid.x] = src0[params.offset_src0 + a_index];
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/scale.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/scale.wgsl
similarity index 78%
rename from ggml/src/ggml-webgpu/wgsl-shaders/scale.tmpl.wgsl
rename to ggml/src/ggml-webgpu/wgsl-shaders/scale.wgsl
index 040e80dfea2..3b70a876d70 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/scale.tmpl.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/scale.wgsl
@@ -1,44 +1,21 @@
-#define(VARIANTS)
-
-[
-  {
-    "SHADER_NAME": "scale_f32",
-    "DECLS": ["NOT_INPLACE"]
-  },
-  {
-    "SHADER_NAME": "scale_f32_inplace",
-    "DECLS": ["INPLACE"]
-  }
-]
-
-#end(VARIANTS)
-
-#define(DECLS)
-
-#decl(NOT_INPLACE)
+#ifdef INPLACE
 @group(0) @binding(1)
-var<storage, read_write> dst: array<f32>;
-
-@group(0) @binding(2)
 var<uniform> params: Params;
 
 fn store_scale(val: f32, offset: u32) {
-    dst[offset] = val;
+    src[offset] = val;
 }
-#enddecl(NOT_INPLACE)
-
-#decl(INPLACE)
+#else
 @group(0) @binding(1)
+var<storage, read_write> dst: array<f32>;
+
+@group(0) @binding(2)
 var<uniform> params: Params;
 
 fn store_scale(val: f32, offset: u32) {
-    src[offset] = val;
+    dst[offset] = val;
 }
-#enddecl(INPLACE)
-
-#end(DECLS)
-
-#define(SHADER)
+#endif
 
 struct Params {
     offset_src: u32,
@@ -65,10 +42,7 @@ struct Params {
 @group(0) @binding(0)
 var<storage, read_write> src: array<f32>;
 
-DECLS
-
-override wg_size: u32;
-@compute @workgroup_size(wg_size)
+@compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     if (gid.x >= params.ne) {
         return;
@@ -87,4 +61,3 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
 
     store_scale(src[i_src] * params.scale + params.bias, i_dst);
 }
-#end(SHADER)
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
index d639d984970..feaf6d0ac29 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
@@ -170,6 +170,20 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
 #ifdef TRUNC
     let res = trunc(src[params.offset_src + src_idx]);
 #endif
+#ifdef SQR
+    let res = src[params.offset_src + src_idx] * src[params.offset_src + src_idx];
+#endif
+#ifdef SQRT
+    let res = sqrt(src[params.offset_src + src_idx]);
+#endif
+#ifdef SIN
+    let res_f32 = sin(f32(src[params.offset_src + src_idx]));
+    let res = TYPE(res_f32);
+#endif
+#ifdef COS
+    let res_f32 = cos(f32(src[params.offset_src + src_idx]));
+    let res = TYPE(res_f32);
+#endif
 
 #ifdef INPLACE
     src[params.offset_src + src_idx] = res;
diff --git a/ggml/src/ggml-zendnn/CMakeLists.txt b/ggml/src/ggml-zendnn/CMakeLists.txt
index f5cf6eedd3a..9bdb4e836d3 100644
--- a/ggml/src/ggml-zendnn/CMakeLists.txt
+++ b/ggml/src/ggml-zendnn/CMakeLists.txt
@@ -1,12 +1,19 @@
 ggml_add_backend_library(ggml-zendnn
                          ggml-zendnn.cpp)
 
-# Get ZenDNN path
 if (NOT DEFINED ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "")
     set(ZENDNN_ROOT "$ENV{ZENDNN_ROOT}")
 endif()
 
-# Check if path is still empty or OFF
+if (BUILD_SHARED_LIBS)
+    set(ZENDNN_SHARED_LIB ON)
+    set(ZENDNN_ARCHIVE_LIB OFF)
+else()
+    set(ZENDNN_SHARED_LIB OFF)
+    set(ZENDNN_ARCHIVE_LIB ON)
+endif()
+
+# Download and build ZenDNN if not provided
 if (NOT ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "" OR ZENDNN_ROOT STREQUAL "OFF")
     message(STATUS "ZENDNN_ROOT not set. Automatically downloading and building ZenDNN...")
     message(STATUS "This will take several minutes on first build...")
@@ -21,7 +28,7 @@ if (NOT ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "" OR ZENDNN_ROOT STREQUAL "OFF")
     ExternalProject_Add(
         zendnn
         GIT_REPOSITORY https://github.com/amd/ZenDNN.git
-        GIT_TAG 21ce8f7879c86bf3637f707fae6f29e0951db5fe
+        GIT_TAG a18adf8c605fb5f5e52cefd7eda08a7b18febbaf    # ZenDNN-2026-WW08
         PREFIX      ${ZENDNN_PREFIX}
         SOURCE_DIR  ${ZENDNN_SOURCE_DIR}
         BINARY_DIR  ${ZENDNN_BUILD_DIR}
@@ -32,7 +39,9 @@ if (NOT ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "" OR ZENDNN_ROOT STREQUAL "OFF")
             -DZENDNNL_BUILD_DOXYGEN=OFF
             -DZENDNNL_BUILD_GTEST=OFF
             -DZENDNNL_BUILD_BENCHDNN=OFF
-            # Enable ALL matmul algorithm backends
+            -DZENDNNL_DEPENDS_FBGEMM=OFF
+            -DZENDNNL_LIB_BUILD_ARCHIVE=${ZENDNN_ARCHIVE_LIB}
+            -DZENDNNL_LIB_BUILD_SHARED=${ZENDNN_SHARED_LIB}
             -DZENDNNL_DEPENDS_AOCLDLP=ON
             -DZENDNNL_DEPENDS_ONEDNN=ON
             -DZENDNNL_DEPENDS_LIBXSMM=ON
@@ -45,47 +54,37 @@ if (NOT ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "" OR ZENDNN_ROOT STREQUAL "OFF")
         LOG_INSTALL ON
     )
 
-    # Add dependency so ZenDNN builds before our library
     add_dependencies(ggml-zendnn zendnn)
-
-    # Set ZENDNN_ROOT to the installation directory
     set(ZENDNN_ROOT ${ZENDNN_INSTALL_DIR})
-
     message(STATUS "ZenDNN will be built to: ${ZENDNN_ROOT}")
 else()
     message(STATUS "Using custom ZenDNN installation at: ${ZENDNN_ROOT}")
 endif()
 
-# ZenDNN headers + libs
 target_include_directories(ggml-zendnn PRIVATE
     ${ZENDNN_ROOT}/zendnnl/include
-    ${ZENDNN_ROOT}/deps/aocldlp/include
-    ${ZENDNN_ROOT}/deps/aoclutils/include
     ${ZENDNN_ROOT}/deps/json/include
-    ${ZENDNN_ROOT}/deps/libxsmm/include
+    ${ZENDNN_ROOT}/deps/aoclutils/include
+    ${ZENDNN_ROOT}/deps/aocldlp/include
     ${ZENDNN_ROOT}/deps/onednn/include
-)
+    ${ZENDNN_ROOT}/deps/libxsmm/include)
 
-target_link_directories(ggml-zendnn PRIVATE
-    ${ZENDNN_ROOT}/zendnnl/lib
-    ${ZENDNN_ROOT}/deps/aocldlp/lib
-    ${ZENDNN_ROOT}/deps/aoclutils/lib
-    ${ZENDNN_ROOT}/deps/libxsmm/lib
-    ${ZENDNN_ROOT}/deps/onednn/lib
-)
+if (ZENDNN_SHARED_LIB)
+    target_link_directories(ggml-zendnn PRIVATE ${ZENDNN_ROOT}/zendnnl/lib)
+    target_link_libraries(ggml-zendnn PRIVATE zendnnl)
+elseif (ZENDNN_ARCHIVE_LIB)
+    target_link_libraries(ggml-zendnn PRIVATE
+        ${ZENDNN_ROOT}/zendnnl/lib/libzendnnl_archive.a
+        ${ZENDNN_ROOT}/deps/aoclutils/${CMAKE_INSTALL_LIBDIR}/libaoclutils.a
+        ${ZENDNN_ROOT}/deps/aoclutils/${CMAKE_INSTALL_LIBDIR}/libau_cpuid.a
+        ${ZENDNN_ROOT}/deps/aocldlp/lib/libaocl-dlp.a
+        ${ZENDNN_ROOT}/deps/onednn/${CMAKE_INSTALL_LIBDIR}/libdnnl.a
+        ${ZENDNN_ROOT}/deps/libxsmm/lib/libxsmm.a
+        ${ZENDNN_ROOT}/deps/libxsmm/lib/libxsmmext.a
+        ${ZENDNN_ROOT}/deps/libxsmm/lib/libxsmmnoblas.a)
+endif()
 
-target_link_libraries(ggml-zendnn PRIVATE
-    zendnnl_archive    # ZenDNN main
-    aocl-dlp           # AOCL libraries
-    aoclutils
-    au_cpuid
-    dnnl               # OneDNN
-    xsmm               # libxsmm small matrix math
-    xsmmext
-    xsmmnoblas
-    m
-    pthread
-)
+target_link_libraries(ggml-zendnn PRIVATE m pthread)
 
 if (GGML_OPENMP)
     target_link_libraries(ggml-zendnn PRIVATE OpenMP::OpenMP_CXX)
diff --git a/ggml/src/ggml-zendnn/ggml-zendnn.cpp b/ggml/src/ggml-zendnn/ggml-zendnn.cpp
index 551c15bb4ae..c8760304008 100644
--- a/ggml/src/ggml-zendnn/ggml-zendnn.cpp
+++ b/ggml/src/ggml-zendnn/ggml-zendnn.cpp
@@ -41,13 +41,13 @@ static bool ggml_zendnn_matmul(ggml_backend_zendnn_context * ctx, int64_t m, int
                                const TA * A, int64_t lda, const TB * B, int64_t ldb, TC * C,
                                int64_t ldc) {
 
-    zendnnl::lowoha::lowoha_params params;
+    zendnnl::lowoha::matmul::matmul_params params;
     params.dtypes.src = ggml_to_zendnn_type<TB>();
     params.dtypes.wei = ggml_to_zendnn_type<TA>();
     params.dtypes.dst = ggml_to_zendnn_type<TC>();
     params.num_threads = ctx->n_threads;
 
-    zendnnl::lowoha::status_t status = zendnnl::lowoha::matmul_direct(
+    zendnnl::error_handling::status_t status = zendnnl::lowoha::matmul::matmul_direct(
         'r', false, true,   // row-major, don't transpose B, transpose A (because it's column-major)
         n,                  // M: rows of B and C
         m,                  // N: cols of A^T and C
@@ -63,7 +63,7 @@ static bool ggml_zendnn_matmul(ggml_backend_zendnn_context * ctx, int64_t m, int
         params              // params
     );
 
-    if (status != zendnnl::lowoha::status_t::success) {
+    if (status != zendnnl::error_handling::status_t::success) {
         GGML_LOG_ERROR("%s, ZenDNN matmul failed: status=%d\n", __func__, static_cast<int>(status));
         return false;
     }
diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c
index e2a6ff67be7..e5b83e14479 100644
--- a/ggml/src/ggml.c
+++ b/ggml/src/ggml.c
@@ -718,6 +718,14 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = {
         .to_float                 = (ggml_to_float_t) dequantize_row_mxfp4,
         .from_float_ref           = (ggml_from_float_t)quantize_row_mxfp4_ref,
     },
+    [GGML_TYPE_NVFP4] = {
+        .type_name                = "nvfp4",
+        .blck_size                = QK_NVFP4,
+        .type_size                = sizeof(block_nvfp4),
+        .is_quantized             = true,
+        .to_float                 = (ggml_to_float_t) dequantize_row_nvfp4,
+        .from_float_ref           = (ggml_from_float_t)quantize_row_nvfp4_ref,
+    },
     [GGML_TYPE_Q2_K] = {
         .type_name                = "q2_K",
         .blck_size                = QK_K,
@@ -899,7 +907,8 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = {
 };
 
 const struct ggml_type_traits * ggml_get_type_traits(enum ggml_type type) {
-    GGML_ASSERT(type < GGML_TYPE_COUNT);
+    assert(type >= 0);
+    assert(type < GGML_TYPE_COUNT);
     return &type_traits[type];
 }
 
@@ -1030,6 +1039,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = {
     "GATED_LINEAR_ATTN",
     "RWKV_WKV7",
     "SOLVE_TRI",
+    "GATED_DELTA_NET",
 
     "UNARY",
 
@@ -1047,7 +1057,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = {
     "GLU",
 };
 
-static_assert(GGML_OP_COUNT == 95, "GGML_OP_COUNT != 95");
+static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT != 96");
 
 static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = {
     "none",
@@ -1139,6 +1149,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = {
     "gated_linear_attn(k, v, q, gate, s)",
     "rwkv_wkv7(r, w, k, v, a, b, s)",
     "A X = B, A triangular, solve X",
+    "gated_delta_net(q, k, v, g, beta, s)",
 
     "unary(x)",
 
@@ -1156,7 +1167,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = {
     "glu(x)",
 };
 
-static_assert(GGML_OP_COUNT == 95, "GGML_OP_COUNT != 95");
+static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT != 96");
 
 static_assert(GGML_OP_POOL_COUNT == 2, "GGML_OP_POOL_COUNT != 2");
 
@@ -1265,27 +1276,33 @@ size_t ggml_nbytes_pad(const struct ggml_tensor * tensor) {
 }
 
 int64_t ggml_blck_size(enum ggml_type type) {
+    assert(type >= 0);
+    assert(type < GGML_TYPE_COUNT);
     return type_traits[type].blck_size;
 }
 
 size_t ggml_type_size(enum ggml_type type) {
+    assert(type >= 0);
+    assert(type < GGML_TYPE_COUNT);
     return type_traits[type].type_size;
 }
 
 size_t ggml_row_size(enum ggml_type type, int64_t ne) {
+    assert(type >= 0);
+    assert(type < GGML_TYPE_COUNT);
     assert(ne % ggml_blck_size(type) == 0);
     return ggml_type_size(type)*ne/ggml_blck_size(type);
 }
 
-double ggml_type_sizef(enum ggml_type type) {
-    return ((double)(type_traits[type].type_size))/type_traits[type].blck_size;
-}
-
 const char * ggml_type_name(enum ggml_type type) {
-    return type < GGML_TYPE_COUNT ? type_traits[type].type_name : "NONE";
+    assert(type >= 0);
+    assert(type < GGML_TYPE_COUNT);
+    return type_traits[type].type_name;
 }
 
 bool ggml_is_quantized(enum ggml_type type) {
+    assert(type >= 0);
+    assert(type < GGML_TYPE_COUNT);
     return type_traits[type].is_quantized;
 }
 
@@ -1365,6 +1382,7 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) {
         case GGML_FTYPE_MOSTLY_Q5_1:          wtype = GGML_TYPE_Q5_1;  break;
         case GGML_FTYPE_MOSTLY_Q8_0:          wtype = GGML_TYPE_Q8_0;  break;
         case GGML_FTYPE_MOSTLY_MXFP4:         wtype = GGML_TYPE_MXFP4; break;
+        case GGML_FTYPE_MOSTLY_NVFP4:         wtype = GGML_TYPE_NVFP4; break;
         case GGML_FTYPE_MOSTLY_Q2_K:          wtype = GGML_TYPE_Q2_K;  break;
         case GGML_FTYPE_MOSTLY_Q3_K:          wtype = GGML_TYPE_Q3_K;  break;
         case GGML_FTYPE_MOSTLY_Q4_K:          wtype = GGML_TYPE_Q4_K;  break;
@@ -1403,16 +1421,14 @@ static bool ggml_is_contiguous_n(const struct ggml_tensor * tensor, int n) {
     }
     next_nb *= tensor->ne[0]/ggml_blck_size(tensor->type);
     for (int i = 1; i < GGML_MAX_DIMS; i++) {
-        if (tensor->ne[i] != 1) {
-            if (i > n) {
-                if (tensor->nb[i] != next_nb) {
-                    return false;
-                }
-                next_nb *= tensor->ne[i];
-            } else {
-                // this dimension does not need to be contiguous
-                next_nb = tensor->ne[i]*tensor->nb[i];
+        if (i > n) {
+            if (tensor->ne[i] != 1 && tensor->nb[i] != next_nb) {
+                return false;
             }
+            next_nb *= tensor->ne[i];
+        } else {
+            // this dimension does not need to be contiguous
+            next_nb = tensor->ne[i]*tensor->nb[i];
         }
     }
     return true;
@@ -1496,6 +1512,10 @@ bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tenso
         (t0->nb[3] == t1->nb[3]);
 }
 
+bool ggml_is_view(const struct ggml_tensor * t) {
+    return ggml_impl_is_view(t);
+}
+
 // check if t1 can be represented as a repetition of t0
 bool ggml_can_repeat(const struct ggml_tensor * t0, const struct ggml_tensor * t1) {
     static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
@@ -1625,11 +1645,23 @@ static struct ggml_object * ggml_new_object(struct ggml_context * ctx, enum ggml
     const size_t cur_end  = cur_offs + cur_size;
 
     // align to GGML_MEM_ALIGN
+    GGML_ASSERT(size <= SIZE_MAX - (GGML_MEM_ALIGN - 1));
     size_t size_needed = GGML_PAD(size, GGML_MEM_ALIGN);
 
     char * const mem_buffer = ctx->mem_buffer;
     struct ggml_object * const obj_new = (struct ggml_object *)(mem_buffer + cur_end);
 
+    // integer overflow checks
+    if (cur_end > SIZE_MAX - size_needed) {
+        GGML_LOG_WARN("%s: overflow detected in cur_end (%zu) + size_needed (%zu)\n", __func__, cur_end, size_needed);
+        return NULL;
+    }
+    if (cur_end + size_needed > SIZE_MAX - GGML_OBJECT_SIZE) {
+        GGML_LOG_WARN("%s: overflow detected in cur_end (%zu) + size_needed (%zu) + GGML_OBJECT_SIZE (%zu)\n", __func__,
+                cur_end, size_needed, (size_t) GGML_OBJECT_SIZE);
+        return NULL;
+    }
+
     if (cur_end + size_needed + GGML_OBJECT_SIZE > ctx->mem_size) {
         GGML_LOG_WARN("%s: not enough space in the context's memory pool (needed %zu, available %zu)\n",
                 __func__, cur_end + size_needed + GGML_OBJECT_SIZE, ctx->mem_size);
@@ -1698,6 +1730,8 @@ static struct ggml_tensor * ggml_new_tensor_impl(
         obj_alloc_size = data_size;
     }
 
+    GGML_ASSERT(GGML_TENSOR_SIZE <= SIZE_MAX - obj_alloc_size);
+
     struct ggml_object * const obj_new = ggml_new_object(ctx, GGML_OBJECT_TYPE_TENSOR, GGML_TENSOR_SIZE + obj_alloc_size);
     GGML_ASSERT(obj_new);
 
@@ -6101,6 +6135,57 @@ struct ggml_tensor * ggml_solve_tri(
     return result;
 }
 
+// ggml_gated_delta_net
+
+struct ggml_tensor * ggml_gated_delta_net(
+        struct ggml_context * ctx,
+        struct ggml_tensor  * q,
+        struct ggml_tensor  * k,
+        struct ggml_tensor  * v,
+        struct ggml_tensor  * g,
+        struct ggml_tensor  * beta,
+        struct ggml_tensor  * state) {
+    GGML_ASSERT(ggml_is_contiguous_rows(q));
+    GGML_ASSERT(ggml_is_contiguous_rows(k));
+    GGML_ASSERT(ggml_is_contiguous_rows(v));
+    GGML_ASSERT(ggml_is_contiguous(g));
+    GGML_ASSERT(ggml_is_contiguous(beta));
+    GGML_ASSERT(ggml_is_contiguous(state));
+
+    GGML_ASSERT(q->type == GGML_TYPE_F32);
+    GGML_ASSERT(k->type == GGML_TYPE_F32);
+    GGML_ASSERT(v->type == GGML_TYPE_F32);
+    GGML_ASSERT(g->type == GGML_TYPE_F32);
+    GGML_ASSERT(beta->type == GGML_TYPE_F32);
+    GGML_ASSERT(state->type == GGML_TYPE_F32);
+
+    const int64_t S_v      = v->ne[0];
+    const int64_t H        = v->ne[1];
+    const int64_t n_tokens = v->ne[2];
+    const int64_t n_seqs   = v->ne[3];
+
+    // gate: scalar [1, H, T, B] or vector [S_v, H, T, B] (KDA)
+    GGML_ASSERT(g->ne[0] == 1 || g->ne[0] == S_v);
+    GGML_ASSERT(beta->ne[0] == 1);
+
+    GGML_ASSERT(ggml_nelements(state) == S_v * S_v * H * n_seqs);
+
+    // concat output and new_state into a single tensor
+    // output: S_v * H * n_tokens * n_seqs, state: S_v * S_v * H * n_seqs
+    const int64_t ne[4] = { S_v * H, n_tokens * n_seqs + S_v * n_seqs, 1, 1 };
+    struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne);
+
+    result->op     = GGML_OP_GATED_DELTA_NET;
+    result->src[0] = q;
+    result->src[1] = k;
+    result->src[2] = v;
+    result->src[3] = g;
+    result->src[4] = beta;
+    result->src[5] = state;
+
+    return result;
+}
+
 ////////////////////////////////////////////////////////////////////////////////
 
 struct ggml_hash_set ggml_hash_set_new(size_t size) {
@@ -7565,6 +7650,7 @@ size_t ggml_quantize_chunk(
         case GGML_TYPE_Q5_1:    result = quantize_q5_1(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q8_0:    result = quantize_q8_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_MXFP4:   result = quantize_mxfp4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_NVFP4:   result = quantize_nvfp4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q2_K:    result = quantize_q2_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q3_K:    result = quantize_q3_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_Q4_K:    result = quantize_q4_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
diff --git a/ggml/src/gguf.cpp b/ggml/src/gguf.cpp
index ed0d7f2cae1..cbeedf6c4b6 100644
--- a/ggml/src/gguf.cpp
+++ b/ggml/src/gguf.cpp
@@ -15,6 +15,17 @@
 #include <string>
 #include <vector>
 
+#define GGUF_MAX_STRING_LENGTH  (1024*1024*1024)
+#define GGUF_MAX_ARRAY_ELEMENTS (1024*1024*1024)
+
+#ifdef _WIN32
+#    define gguf_ftell _ftelli64
+#    define gguf_fseek _fseeki64
+#else
+#    define gguf_ftell ftello
+#    define gguf_fseek fseeko
+#endif
+
 template <typename T>
 struct type_to_gguf_type;
 
@@ -217,17 +228,64 @@ struct gguf_context {
 };
 
 struct gguf_reader {
-    FILE * file;
+    gguf_reader(FILE * file) : file(file) {
+        // read the remaining bytes once and update on each read
+        nbytes_remain = file_remain(file);
+    }
 
-    gguf_reader(FILE * file) : file(file) {}
+    // helper for remaining bytes in a file
+    static uint64_t file_remain(FILE * file) {
+        const int64_t cur = gguf_ftell(file);
+        if (cur < 0) {
+            return 0;
+        }
+        if (gguf_fseek(file, 0, SEEK_END) != 0) {
+            gguf_fseek(file, cur, SEEK_SET);
+
+            return 0;
+        }
+        const int64_t end = gguf_ftell(file);
+        if (end < 0) {
+            gguf_fseek(file, cur, SEEK_SET);
+
+            return 0;
+        }
+        gguf_fseek(file, cur, SEEK_SET);
+        return static_cast<uint64_t>(end - cur);
+    }
 
     template <typename T>
     bool read(T & dst) const {
-        return fread(&dst, 1, sizeof(dst), file) == sizeof(dst);
+        const size_t size = sizeof(dst);
+        if (nbytes_remain < size) {
+            return false;
+        }
+        const size_t nread = fread(&dst, 1, size, file);
+        nbytes_remain -= nread;
+        return nread == size;
     }
 
     template <typename T>
     bool read(std::vector<T> & dst, const size_t n) const {
+        if (n > GGUF_MAX_ARRAY_ELEMENTS) {
+            return false;
+        }
+        if constexpr (std::is_same<T, std::string>::value) {
+            // strings are prefixed with their length, so we need to account for that
+            if (n > SIZE_MAX / sizeof(uint64_t)) {
+                return false;
+            }
+            if (nbytes_remain < n * sizeof(uint64_t)) {
+                return false;
+            }
+        } else {
+            if (n > SIZE_MAX / sizeof(T)) {
+                return false;
+            }
+            if (nbytes_remain < n * sizeof(T)) {
+                return false;
+            }
+        }
         dst.resize(n);
         for (size_t i = 0; i < dst.size(); ++i) {
             if constexpr (std::is_same<T, bool>::value) {
@@ -277,13 +335,33 @@ struct gguf_reader {
         if (!read(size)) {
             return false;
         }
-        dst.resize(size);
-        return fread(dst.data(), 1, dst.length(), file) == dst.length();
+        if (size > GGUF_MAX_STRING_LENGTH) {
+            GGML_LOG_ERROR("%s: string length %" PRIu64 " exceeds maximum %" PRIu64 "\n", __func__, size, (uint64_t) GGUF_MAX_STRING_LENGTH);
+            return false;
+        }
+        if (size > nbytes_remain) {
+            GGML_LOG_ERROR("%s: string length %" PRIu64 " exceeds remaining file size %" PRIu64 " bytes\n", __func__, size, nbytes_remain);
+            return false;
+        }
+        dst.resize(static_cast<size_t>(size));
+        const size_t nread = fread(dst.data(), 1, size, file);
+        nbytes_remain -= nread;
+        return nread == size;
     }
 
     bool read(void * dst, const size_t size) const {
-        return fread(dst, 1, size, file) == size;
+        if (size > nbytes_remain) {
+            return false;
+        }
+        const size_t nread = fread(dst, 1, size, file);
+        nbytes_remain -= nread;
+        return nread == size;
     }
+
+private:
+    FILE * file;
+
+    mutable uint64_t nbytes_remain;
 };
 
 struct gguf_context * gguf_init_empty(void) {
@@ -568,8 +646,8 @@ struct gguf_context * gguf_init_from_file_impl(FILE * file, struct gguf_init_par
 
             // check that tensor type is within defined range
             if (info.t.type < 0 || info.t.type >= GGML_TYPE_COUNT) {
-                GGML_LOG_ERROR("%s: tensor '%s' has invalid ggml type %d (%s)\n",
-                    __func__, info.t.name, info.t.type, ggml_type_name(info.t.type));
+                GGML_LOG_ERROR("%s: tensor '%s' has invalid ggml type %d. should be in [0, %d)\n",
+                    __func__, info.t.name, info.t.type, GGML_TYPE_COUNT);
                 ok = false;
                 break;
             }
@@ -618,14 +696,14 @@ struct gguf_context * gguf_init_from_file_impl(FILE * file, struct gguf_init_par
     GGML_ASSERT(int64_t(ctx->info.size()) == n_tensors);
 
     // we require the data section to be aligned, so take into account any padding
-    if (fseek(file, GGML_PAD(ftell(file), ctx->alignment), SEEK_SET) != 0) {
+    if (gguf_fseek(file, GGML_PAD(gguf_ftell(file), ctx->alignment), SEEK_SET) != 0) {
         GGML_LOG_ERROR("%s: failed to seek to beginning of data section\n", __func__);
         gguf_free(ctx);
         return nullptr;
     }
 
     // store the current file offset - this is where the data section starts
-    ctx->offset = ftell(file);
+    ctx->offset = gguf_ftell(file);
 
     // compute the total size of the data section, taking into account the alignment
     {
@@ -657,10 +735,34 @@ struct gguf_context * gguf_init_from_file_impl(FILE * file, struct gguf_init_par
         //   the ggml_tensor structs to the appropriate locations in the binary blob
 
         // compute the exact size needed for the new ggml_context
-        const size_t mem_size =
-            params.no_alloc ?
-            (n_tensors    )*ggml_tensor_overhead() :
-            (n_tensors + 1)*ggml_tensor_overhead() + ctx->size;
+        size_t mem_size = 0;
+        if (params.no_alloc) {
+            if (n_tensors != 0 && SIZE_MAX / n_tensors < ggml_tensor_overhead()) {
+                GGML_LOG_ERROR("%s: memory size overflow while allocating ggml context\n", __func__);
+                gguf_free(ctx);
+                return nullptr;
+            }
+
+            const size_t overhead = n_tensors * ggml_tensor_overhead();
+
+            mem_size = overhead;
+        } else {
+            if ((n_tensors + 1) != 0 && SIZE_MAX / (n_tensors + 1) < ggml_tensor_overhead()) {
+                GGML_LOG_ERROR("%s: memory size overflow while allocating ggml context\n", __func__);
+                gguf_free(ctx);
+                return nullptr;
+            }
+
+            const size_t overhead = (n_tensors + 1) * ggml_tensor_overhead();
+
+            if (SIZE_MAX - overhead < ctx->size) {
+                GGML_LOG_ERROR("%s: memory size overflow while allocating ggml context\n", __func__);
+                gguf_free(ctx);
+                return nullptr;
+            }
+
+            mem_size = overhead + ctx->size;
+        }
 
         struct ggml_init_params pdata = {
             /*mem_size   =*/ mem_size,
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index 9dab0df08a8..bf617382d0a 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -125,6 +125,7 @@ class LLM:
         EXPERT_GROUP_SCALE                = "{arch}.expert_group_scale"
         EXPERTS_PER_GROUP                 = "{arch}.experts_per_group"
         MOE_EVERY_N_LAYERS                = "{arch}.moe_every_n_layers"
+        MOE_LATENT_SIZE                   = "{arch}.moe_latent_size"
         NEXTN_PREDICT_LAYERS              = "{arch}.nextn_predict_layers"
         NUM_DEEPSTACK_LAYERS              = "{arch}.n_deepstack_layers"
         POOLING_TYPE                      = "{arch}.pooling_type"
@@ -177,12 +178,20 @@ class Attention:
         TEMPERATURE_LENGTH           = "{arch}.attention.temperature_length"
         KEY_LENGTH_MLA               = "{arch}.attention.key_length_mla"
         VALUE_LENGTH_MLA             = "{arch}.attention.value_length_mla"
+        KEY_LENGTH_SWA               = "{arch}.attention.key_length_swa"
+        VALUE_LENGTH_SWA             = "{arch}.attention.value_length_swa"
         SHARED_KV_LAYERS             = "{arch}.attention.shared_kv_layers"
         SLIDING_WINDOW_PATTERN       = "{arch}.attention.sliding_window_pattern"
         TEMPERATURE_SCALE            = "{arch}.attention.temperature_scale"
 
+        class Indexer:
+            HEAD_COUNT = "{arch}.attention.indexer.head_count"
+            KEY_LENGTH = "{arch}.attention.indexer.key_length"
+            TOP_K      = "{arch}.attention.indexer.top_k"
+
     class Rope:
         DIMENSION_COUNT           = "{arch}.rope.dimension_count"
+        DIMENSION_COUNT_SWA       = "{arch}.rope.dimension_count_swa"
         DIMENSION_SECTIONS        = "{arch}.rope.dimension_sections"
         FREQ_BASE                 = "{arch}.rope.freq_base"
         FREQ_BASE_SWA             = "{arch}.rope.freq_base_swa"
@@ -374,6 +383,7 @@ class MODEL_ARCH(IntEnum):
     NEO_BERT         = auto()
     JINA_BERT_V2     = auto()
     JINA_BERT_V3     = auto()
+    EUROBERT         = auto()
     BLOOM            = auto()
     STABLELM         = auto()
     QWEN             = auto()
@@ -425,10 +435,12 @@ class MODEL_ARCH(IntEnum):
     CHATGLM          = auto()
     GLM4             = auto()
     GLM4_MOE         = auto()
+    GLM_DSA          = auto()
     BITNET           = auto()
     T5               = auto()
     T5ENCODER        = auto()
     JAIS             = auto()
+    JAIS2            = auto()
     NEMOTRON         = auto()
     NEMOTRON_H       = auto()
     NEMOTRON_H_MOE   = auto()
@@ -466,6 +478,7 @@ class MODEL_ARCH(IntEnum):
     RND1             = auto()
     PANGU_EMBED      = auto()
     MISTRAL3         = auto()
+    PADDLEOCR        = auto()
     MIMO2            = auto()
     STEP35           = auto()
     LLAMA_EMBED      = auto()
@@ -523,6 +536,7 @@ class MODEL_TENSOR(IntEnum):
     FFN_GATE_EXP         = auto()
     FFN_DOWN_EXP         = auto()
     FFN_UP_EXP           = auto()
+    FFN_GATE_UP_EXP      = auto()
     FFN_GATE_SHEXP       = auto()
     FFN_DOWN_SHEXP       = auto()
     FFN_UP_SHEXP         = auto()
@@ -530,6 +544,8 @@ class MODEL_TENSOR(IntEnum):
     FFN_DOWN_CHEXP       = auto()
     FFN_UP_CHEXP         = auto()
     FFN_EXP_PROBS_B      = auto()
+    MOE_LATENT_DOWN      = auto() # nemotron 3 super
+    MOE_LATENT_UP        = auto() # nemotron 3 super
     ATTN_Q_NORM          = auto()
     ATTN_K_NORM          = auto()
     LAYER_OUT_NORM       = auto()
@@ -646,6 +662,7 @@ class MODEL_TENSOR(IntEnum):
     ENC_OUTPUT_NORM      = auto()
     CLS                  = auto() # classifier
     CLS_OUT              = auto() # classifier output projection
+    CLS_NORM             = auto()
     CONV1D               = auto()
     CONVNEXT_DW          = auto()
     CONVNEXT_NORM        = auto()
@@ -670,6 +687,10 @@ class MODEL_TENSOR(IntEnum):
     VISEXP_GATE          = auto()
     VISEXP_DOWN          = auto()
     VISEXP_UP            = auto()
+    INDEXER_K_NORM       = auto()
+    INDEXER_PROJ         = auto()
+    INDEXER_ATTN_K       = auto()
+    INDEXER_ATTN_Q_B     = auto()
     # vision
     V_MMPROJ             = auto()
     V_MMPROJ_FC          = auto()
@@ -807,6 +828,7 @@ class MODEL_TENSOR(IntEnum):
     MODEL_ARCH.NEO_BERT:         "neo-bert",
     MODEL_ARCH.JINA_BERT_V2:     "jina-bert-v2",
     MODEL_ARCH.JINA_BERT_V3:     "jina-bert-v3",
+    MODEL_ARCH.EUROBERT:         "eurobert",
     MODEL_ARCH.BLOOM:            "bloom",
     MODEL_ARCH.STABLELM:         "stablelm",
     MODEL_ARCH.QWEN:             "qwen",
@@ -858,10 +880,12 @@ class MODEL_TENSOR(IntEnum):
     MODEL_ARCH.CHATGLM:          "chatglm",
     MODEL_ARCH.GLM4:             "glm4",
     MODEL_ARCH.GLM4_MOE:         "glm4moe",
+    MODEL_ARCH.GLM_DSA:          "glm-dsa",
     MODEL_ARCH.BITNET:           "bitnet",
     MODEL_ARCH.T5:               "t5",
     MODEL_ARCH.T5ENCODER:        "t5encoder",
     MODEL_ARCH.JAIS:             "jais",
+    MODEL_ARCH.JAIS2:            "jais2",
     MODEL_ARCH.NEMOTRON:         "nemotron",
     MODEL_ARCH.NEMOTRON_H:       "nemotron_h",
     MODEL_ARCH.NEMOTRON_H_MOE:   "nemotron_h_moe",
@@ -900,6 +924,7 @@ class MODEL_TENSOR(IntEnum):
     MODEL_ARCH.RND1:             "rnd1",
     MODEL_ARCH.PANGU_EMBED:      "pangu-embedded",
     MODEL_ARCH.MISTRAL3:         "mistral3",
+    MODEL_ARCH.PADDLEOCR:        "paddleocr",
     MODEL_ARCH.MIMO2:            "mimo2",
     MODEL_ARCH.STEP35:           "step35",
     MODEL_ARCH.LLAMA_EMBED:      "llama-embed",
@@ -962,7 +987,10 @@ class MODEL_TENSOR(IntEnum):
     MODEL_TENSOR.FFN_GATE_EXP:              "blk.{bid}.ffn_gate_exps",
     MODEL_TENSOR.FFN_DOWN_EXP:              "blk.{bid}.ffn_down_exps",
     MODEL_TENSOR.FFN_UP_EXP:                "blk.{bid}.ffn_up_exps",
+    MODEL_TENSOR.FFN_GATE_UP_EXP:           "blk.{bid}.ffn_gate_up_exps",
     MODEL_TENSOR.FFN_EXP_PROBS_B:           "blk.{bid}.exp_probs_b",
+    MODEL_TENSOR.MOE_LATENT_DOWN:           "blk.{bid}.ffn_latent_down",      # nemotron 3 super
+    MODEL_TENSOR.MOE_LATENT_UP:             "blk.{bid}.ffn_latent_up",        # nemotron 3 super
     MODEL_TENSOR.LAYER_OUT_NORM:            "blk.{bid}.layer_output_norm",
     MODEL_TENSOR.PER_LAYER_TOKEN_EMBD:      "per_layer_token_embd",           # gemma3n
     MODEL_TENSOR.PER_LAYER_MODEL_PROJ:      "per_layer_model_proj",           # gemma3n
@@ -1077,6 +1105,7 @@ class MODEL_TENSOR(IntEnum):
     MODEL_TENSOR.ENC_OUTPUT_NORM:           "enc.output_norm",
     MODEL_TENSOR.CLS:                       "cls",
     MODEL_TENSOR.CLS_OUT:                   "cls.output",
+    MODEL_TENSOR.CLS_NORM:                  "cls.norm",
     MODEL_TENSOR.CONV1D:                    "conv1d",
     MODEL_TENSOR.CONVNEXT_DW:               "convnext.{bid}.dw",
     MODEL_TENSOR.CONVNEXT_NORM:             "convnext.{bid}.norm",
@@ -1101,6 +1130,10 @@ class MODEL_TENSOR(IntEnum):
     MODEL_TENSOR.VISEXP_GATE:               "blk.{bid}.vis_gate",
     MODEL_TENSOR.VISEXP_DOWN:               "blk.{bid}.vis_down",
     MODEL_TENSOR.VISEXP_UP:                 "blk.{bid}.vis_up",
+    MODEL_TENSOR.INDEXER_K_NORM:            "blk.{bid}.indexer.k_norm",
+    MODEL_TENSOR.INDEXER_PROJ:              "blk.{bid}.indexer.proj",
+    MODEL_TENSOR.INDEXER_ATTN_K:            "blk.{bid}.indexer.attn_k",
+    MODEL_TENSOR.INDEXER_ATTN_Q_B:          "blk.{bid}.indexer.attn_q_b",
     # vision
     MODEL_TENSOR.V_MMPROJ:                  "mm.{bid}",
     MODEL_TENSOR.V_MMPROJ_FC:               "mm.model.fc",
@@ -1492,6 +1525,7 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_NORM,
         MODEL_TENSOR.CLS,
         MODEL_TENSOR.CLS_OUT,
+        MODEL_TENSOR.CLS_NORM,
     ],
     MODEL_ARCH.NOMIC_BERT: [
         MODEL_TENSOR.TOKEN_EMBD,
@@ -1565,6 +1599,19 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_UP,
         MODEL_TENSOR.LAYER_OUT_NORM,
     ],
+    MODEL_ARCH.EUROBERT: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_DOWN,
+    ],
     MODEL_ARCH.MPT: [
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.OUTPUT_NORM,
@@ -1783,6 +1830,7 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_DOWN_EXP,
         MODEL_TENSOR.FFN_UP_EXP,
         MODEL_TENSOR.FFN_GATE_EXP,
+        MODEL_TENSOR.FFN_GATE_UP_EXP,
         MODEL_TENSOR.SSM_A,
         MODEL_TENSOR.SSM_CONV1D,
         MODEL_TENSOR.SSM_DT,
@@ -1872,6 +1920,7 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_DOWN_EXP,
         MODEL_TENSOR.FFN_UP_EXP,
         MODEL_TENSOR.FFN_GATE_EXP,
+        MODEL_TENSOR.FFN_GATE_UP_EXP,
         MODEL_TENSOR.SSM_A,
         MODEL_TENSOR.SSM_CONV1D,
         MODEL_TENSOR.SSM_DT,
@@ -2573,6 +2622,7 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_GATE_EXP,
         MODEL_TENSOR.FFN_DOWN_EXP,
         MODEL_TENSOR.FFN_UP_EXP,
+        MODEL_TENSOR.FFN_GATE_UP_EXP,
         MODEL_TENSOR.FFN_GATE_SHEXP,
         MODEL_TENSOR.FFN_DOWN_SHEXP,
         MODEL_TENSOR.FFN_UP_SHEXP,
@@ -2645,6 +2695,13 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_UP,
         MODEL_TENSOR.ATTN_POST_NORM,
         MODEL_TENSOR.FFN_POST_NORM,
+        # NextN/MTP tensors - preserved but unused
+        MODEL_TENSOR.NEXTN_EH_PROJ,
+        MODEL_TENSOR.NEXTN_EMBED_TOKENS,
+        MODEL_TENSOR.NEXTN_ENORM,
+        MODEL_TENSOR.NEXTN_HNORM,
+        MODEL_TENSOR.NEXTN_SHARED_HEAD_HEAD,
+        MODEL_TENSOR.NEXTN_SHARED_HEAD_NORM,
     ],
     MODEL_ARCH.GLM4_MOE: [
         MODEL_TENSOR.TOKEN_EMBD,
@@ -2677,6 +2734,47 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.NEXTN_SHARED_HEAD_HEAD,
         MODEL_TENSOR.NEXTN_SHARED_HEAD_NORM,
     ],
+    MODEL_ARCH.GLM_DSA: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_Q_A,
+        MODEL_TENSOR.ATTN_Q_B,
+        MODEL_TENSOR.ATTN_KV_A_MQA,
+        MODEL_TENSOR.ATTN_KV_B,
+        MODEL_TENSOR.ATTN_K_B,
+        MODEL_TENSOR.ATTN_V_B,
+        MODEL_TENSOR.ATTN_Q_A_NORM,
+        MODEL_TENSOR.ATTN_KV_A_NORM,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.ATTN_ROT_EMBD,
+        MODEL_TENSOR.FFN_GATE_INP,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_GATE_EXP,
+        MODEL_TENSOR.FFN_DOWN_EXP,
+        MODEL_TENSOR.FFN_UP_EXP,
+        MODEL_TENSOR.FFN_GATE_SHEXP,
+        MODEL_TENSOR.FFN_DOWN_SHEXP,
+        MODEL_TENSOR.FFN_UP_SHEXP,
+        MODEL_TENSOR.FFN_EXP_PROBS_B,
+        MODEL_TENSOR.INDEXER_K_NORM,
+        MODEL_TENSOR.INDEXER_PROJ,
+        MODEL_TENSOR.INDEXER_ATTN_K,
+        MODEL_TENSOR.INDEXER_ATTN_Q_B,
+        # NextN/MTP tensors - preserved but unused
+        MODEL_TENSOR.NEXTN_EH_PROJ,
+        MODEL_TENSOR.NEXTN_EMBED_TOKENS,
+        MODEL_TENSOR.NEXTN_ENORM,
+        MODEL_TENSOR.NEXTN_HNORM,
+        MODEL_TENSOR.NEXTN_SHARED_HEAD_HEAD,
+        MODEL_TENSOR.NEXTN_SHARED_HEAD_NORM,
+    ],
     MODEL_ARCH.BITNET: [
         MODEL_TENSOR.ATTN_Q,
         MODEL_TENSOR.ATTN_K,
@@ -2751,6 +2849,19 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_GATE,
         MODEL_TENSOR.FFN_UP,
     ],
+    MODEL_ARCH.JAIS2: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+    ],
     MODEL_ARCH.NEMOTRON: [
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.OUTPUT_NORM,
@@ -2807,6 +2918,9 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_GATE_INP,
         MODEL_TENSOR.FFN_UP_EXP,
         MODEL_TENSOR.FFN_DOWN_EXP,
+        # expert latent
+        MODEL_TENSOR.MOE_LATENT_DOWN,
+        MODEL_TENSOR.MOE_LATENT_UP,
         # shared expert
         MODEL_TENSOR.FFN_DOWN_SHEXP,
         MODEL_TENSOR.FFN_UP_SHEXP,
@@ -3105,6 +3219,20 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.FFN_UP,
     ],
+    MODEL_ARCH.PADDLEOCR: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+    ],
     MODEL_ARCH.FALCON_H1: [
         # Token embedding
         MODEL_TENSOR.TOKEN_EMBD,
@@ -3656,6 +3784,7 @@ class GGMLQuantizationType(IntEnum):
     TQ1_0   = 34
     TQ2_0   = 35
     MXFP4   = 39
+    NVFP4   = 40
 
 
 class ExpertGatingFuncType(IntEnum):
@@ -3752,6 +3881,7 @@ class VisionProjectorType:
     GEMMA3 = "gemma3"
     GEMMA3NV = "gemma3nv"
     GEMMA3NA = "gemma3na"
+    PHI4 = "phi4"
     IDEFICS3 = "idefics3"
     PIXTRAL = "pixtral"
     LLAMA4 = "llama4"
@@ -3766,6 +3896,7 @@ class VisionProjectorType:
     VOXTRAL = "voxtral"
     LFM2 = "lfm2"
     KIMIVL = "kimivl"
+    PADDLEOCR = "paddleocr"
     KIMIK25 = "kimik25"
     LIGHTONOCR = "lightonocr"
     COGVLM = "cogvlm"
@@ -3774,6 +3905,7 @@ class VisionProjectorType:
     MUSIC_FLAMINGO = "musicflamingo" # audio
     GLM4V = "glm4v"
     YOUTUVL = "youtuvl"
+    NEMOTRON_V2_VL = "nemotron_v2_vl"
 
 
 # Items here are (block size, type size)
@@ -3811,6 +3943,7 @@ class VisionProjectorType:
     GGMLQuantizationType.TQ1_0:   (256, 2 + 4 * 13),
     GGMLQuantizationType.TQ2_0:   (256, 2 + 64),
     GGMLQuantizationType.MXFP4:   (32, 1 + 16),
+    GGMLQuantizationType.NVFP4:   (64, 4 + 32),
 }
 
 
diff --git a/gguf-py/gguf/gguf_reader.py b/gguf-py/gguf/gguf_reader.py
index d87e8f72321..0a1b85f5064 100644
--- a/gguf-py/gguf/gguf_reader.py
+++ b/gguf-py/gguf/gguf_reader.py
@@ -175,6 +175,9 @@ def __init__(self, path: os.PathLike[str] | str, mode: Literal['r', 'r+', 'c'] =
             if new_align.types != [GGUFValueType.UINT32]:
                 raise ValueError('Bad type for general.alignment field')
             self.alignment = new_align.parts[-1][0]
+            # Ensure alignment is a non-zero power of two
+            if self.alignment == 0 or (self.alignment & (self.alignment - 1)) != 0:
+                raise ValueError('Invalid alignment: must be a non-zero power of two')
         padding = offs % self.alignment
         if padding != 0:
             offs += self.alignment - padding
@@ -202,11 +205,11 @@ def _get(
 
     def _push_field(self, field: ReaderField, skip_sum: bool = False) -> int:
         if field.name in self.fields:
-            # TODO: add option to generate error on duplicate keys
-            # raise KeyError(f'Duplicate {field.name} already in list at offset {field.offset}')
+            # TODO: add option to make this a warning and accept duplicate keys like below
+            raise KeyError(f'Duplicate {field.name} already in list at offset {field.offset}')
 
-            logger.warning(f'Duplicate key {field.name} at offset {field.offset}')
-            self.fields[field.name + '_{}'.format(field.offset)] = field
+            # logger.warning(f'Duplicate key {field.name} at offset {field.offset}')
+            # self.fields[field.name + '_{}'.format(field.offset)] = field
         else:
             self.fields[field.name] = field
         return 0 if skip_sum else sum(int(part.nbytes) for part in field.parts)
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index a237537c8d0..662dda3cf46 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -139,10 +139,13 @@ def get_total_parameter_count(self) -> tuple[int, int, int, int]:
                 size = prod(shape)
 
                 if "_exps." in name:
-                    expert_count = shape[-2 if ".bias" in name else -3]
-                    expert_params += (size // expert_count)
-                    expert_sum += expert_count
-                    n_expert_tensors += 1
+                    if len(shape) >= 3:
+                        expert_count = shape[-2 if ".bias" in name else -3]
+                        expert_params += (size // expert_count)
+                        expert_sum += expert_count
+                        n_expert_tensors += 1
+                    else:
+                        shared_params += size
                 else:
                     shared_params += size
 
@@ -501,6 +504,8 @@ def add_quantization_version(self, quantization_version: int) -> None:
         self.add_uint32(Keys.General.QUANTIZATION_VERSION, quantization_version)
 
     def add_custom_alignment(self, alignment: int) -> None:
+        if alignment <= 0 or (alignment & (alignment - 1)) != 0:
+            raise ValueError('Invalid alignment: must be a non-zero power of two')
         self.data_alignment = alignment
         self.add_uint32(Keys.General.ALIGNMENT, alignment)
 
@@ -771,6 +776,21 @@ def add_key_length_mla(self, length: int) -> None:
     def add_value_length_mla(self, length: int) -> None:
         self.add_uint32(Keys.Attention.VALUE_LENGTH_MLA.format(arch=self.arch), length)
 
+    def add_key_length_swa(self, length: int) -> None:
+        self.add_uint32(Keys.Attention.KEY_LENGTH_SWA.format(arch=self.arch), length)
+
+    def add_value_length_swa(self, length: int) -> None:
+        self.add_uint32(Keys.Attention.VALUE_LENGTH_SWA.format(arch=self.arch), length)
+
+    def add_indexer_head_count(self, count: int) -> None:
+        self.add_uint32(Keys.Attention.Indexer.HEAD_COUNT.format(arch=self.arch), count)
+
+    def add_indexer_key_length(self, length: int) -> None:
+        self.add_uint32(Keys.Attention.Indexer.KEY_LENGTH.format(arch=self.arch), length)
+
+    def add_indexer_top_k(self, top_k: int) -> None:
+        self.add_uint32(Keys.Attention.Indexer.TOP_K.format(arch=self.arch), top_k)
+
     def add_max_alibi_bias(self, bias: float) -> None:
         self.add_float32(Keys.Attention.MAX_ALIBI_BIAS.format(arch=self.arch), bias)
 
@@ -842,6 +862,9 @@ def add_experts_per_group(self, count: int) -> None:
     def add_moe_every_n_layers(self, value: int) -> None:
         self.add_uint32(Keys.LLM.MOE_EVERY_N_LAYERS.format(arch=self.arch), value)
 
+    def add_moe_latent_size(self, value: int) -> None:
+        self.add_uint32(Keys.LLM.MOE_LATENT_SIZE.format(arch=self.arch), value)
+
     def add_nextn_predict_layers(self, count: int) -> None:
         self.add_uint32(Keys.LLM.NEXTN_PREDICT_LAYERS.format(arch=self.arch), count)
 
@@ -935,6 +958,9 @@ def add_num_deepstack_layers(self, count: int) -> None:
     def add_rope_dimension_count(self, count: int) -> None:
         self.add_uint32(Keys.Rope.DIMENSION_COUNT.format(arch=self.arch), count)
 
+    def add_rope_dimension_count_swa(self, count: int) -> None:
+        self.add_uint32(Keys.Rope.DIMENSION_COUNT_SWA.format(arch=self.arch), count)
+
     def add_rope_dimension_sections(self, dims: Sequence[int]) -> None:
         self.add_array(Keys.Rope.DIMENSION_SECTIONS.format(arch=self.arch), dims)
 
diff --git a/gguf-py/gguf/metadata.py b/gguf-py/gguf/metadata.py
index e0d478ce95d..e954644e28f 100644
--- a/gguf-py/gguf/metadata.py
+++ b/gguf-py/gguf/metadata.py
@@ -186,7 +186,7 @@ def load_model_card(model_path: Optional[Path] = None) -> dict[str, Any]:
         # Quick hack to fix the Norway problem
         # https://hitchdev.com/strictyaml/why/implicit-typing-removed/
         yaml_content = yaml_content.replace("- no\n", "- \"no\"\n")
-        # yaml should use 2 spaces insted of tab
+        # yaml should use 2 spaces instead of tab
         # this issue has came up with the Qwen/Qwen3-235B-A22B-Instruct-2507 model card
         #    (I've also sent a pr tp fix the modelcard too)
         yaml_content = yaml_content.replace("\t", "  ")
diff --git a/gguf-py/gguf/quants.py b/gguf-py/gguf/quants.py
index 31845ea6eeb..1cd519981a2 100644
--- a/gguf-py/gguf/quants.py
+++ b/gguf-py/gguf/quants.py
@@ -704,6 +704,65 @@ def dequantize_blocks(cls, blocks: np.ndarray) -> np.ndarray:
         return (d * qs.astype(np.float32))
 
 
+class NVFP4(__Quant, qtype=GGMLQuantizationType.NVFP4):
+    # E2M1 values doubled (kvalues_mxfp4 convention)
+    kvalues = (0, 1, 2, 3, 4, 6, 8, 12, 0, -1, -2, -3, -4, -6, -8, -12)
+
+    @staticmethod
+    def ue4m3_to_fp32(x: np.ndarray) -> np.ndarray:
+        """Decode unsigned E4M3 (bias=7) to float, with 0.5 factor for kvalues convention."""
+        exp = (x >> 3).astype(np.int32) & 0xF
+        man = (x & 0x7).astype(np.float32)
+        raw = np.where(
+            exp == 0,
+            man * 2**-9,
+            (1.0 + man / 8.0) * (2.0 ** (exp.astype(np.float32) - 7)))
+        return np.where((x == 0) | (x == 0x7F), 0.0, raw * 0.5)
+
+    @staticmethod
+    def fp32_to_ue4m3(x: np.ndarray) -> np.ndarray:
+        """Vectorized float32 to unsigned E4M3, matching ggml_fp32_to_ue4m3 in C."""
+        x = np.clip(x, 0.0, 448.0).astype(np.float32)
+        bits = x.view(np.uint32)
+        fp32_exp = ((bits >> 23) & 0xFF).astype(np.int32) - 127
+        fp32_man = ((bits >> 20) & 0x7).astype(np.int32)
+        ue4m3_exp = fp32_exp + 7
+
+        # Subnormal
+        sub_man = np.clip((x * 512.0 + 0.5).astype(np.int32), 0, 7)
+        sub_result = np.where(sub_man >= 1, sub_man, 0).astype(np.uint8)
+
+        # Normal with rounding
+        round_bit = ((bits >> 19) & 1).astype(np.int32)
+        man = fp32_man + round_bit
+        exp = ue4m3_exp.copy()
+        overflow = man > 7
+        man = np.where(overflow, 0, man)
+        exp = np.where(overflow, exp + 1, exp)
+        normal_result = np.where(exp >= 15, np.uint8(0x7E), ((exp << 3) | man).astype(np.uint8))
+
+        return np.where(x <= 0.0, np.uint8(0),
+                        np.where(ue4m3_exp <= 0, sub_result,
+                        np.where(ue4m3_exp >= 15, np.uint8(0x7E), normal_result)))
+
+    @classmethod
+    def dequantize_blocks(cls, blocks: np.ndarray) -> np.ndarray:
+        n_super = blocks.shape[0]
+
+        d_bytes, qs = np.hsplit(blocks, [4])
+        d = cls.ue4m3_to_fp32(d_bytes).reshape(n_super, 4, 1)  # (n_super, 4, 1)
+
+        qs = qs.reshape(n_super, 4, 8)
+        lo = (qs & np.uint8(0x0F)).view(np.int8)
+        hi = (qs >> np.uint8(4)).view(np.int8)
+        vals = np.concatenate([lo, hi], axis=-1)  # (n_super, 4, 16)
+
+        kvalues = np.array(cls.kvalues, dtype=np.int8).reshape(1, 1, 16)
+        vals = np.take_along_axis(kvalues, vals, axis=-1)
+
+        return (d * vals.astype(np.float32)).reshape(n_super, 64)
+
+
 class IQ2_XXS(__Quant, qtype=GGMLQuantizationType.IQ2_XXS):
     ksigns: bytes = (
         b"\x00\x81\x82\x03\x84\x05\x06\x87\x88\x09\x0a\x8b\x0c\x8d\x8e\x0f"
diff --git a/gguf-py/gguf/scripts/gguf_convert_endian.py b/gguf-py/gguf/scripts/gguf_convert_endian.py
index 86bf87846c8..164c9171e04 100755
--- a/gguf-py/gguf/scripts/gguf_convert_endian.py
+++ b/gguf-py/gguf/scripts/gguf_convert_endian.py
@@ -65,6 +65,7 @@ def byteswap_q6_k(tensor, block_offs):
     gguf.GGMLQuantizationType.Q4_K:  byteswap_q4_k,
     gguf.GGMLQuantizationType.Q6_K:  byteswap_q6_k,
     gguf.GGMLQuantizationType.MXFP4: byteswap_noop,
+    gguf.GGMLQuantizationType.NVFP4: byteswap_noop,
 }
 
 
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 43647904b48..18131e54054 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -567,6 +567,18 @@ class TensorNameMap:
             "model.layers.{bid}.mlp.chunk_experts.gate_proj",           # grovemoe
         ),
 
+        MODEL_TENSOR.FFN_GATE_UP_EXP: (
+            "model.layers.{bid}.mlp.experts.gate_up_proj",
+        ),
+
+        MODEL_TENSOR.MOE_LATENT_DOWN: (
+            "backbone.layers.{bid}.mixer.fc1_latent_proj",                 # nemotron 3 super
+        ),
+
+        MODEL_TENSOR.MOE_LATENT_UP: (
+            "backbone.layers.{bid}.mixer.fc2_latent_proj",                 # nemotron 3 super
+        ),
+
         # Feed-forward down
         MODEL_TENSOR.FFN_DOWN: (
             "gpt_neox.layers.{bid}.mlp.dense_4h_to_h",                # gptneox
@@ -1206,6 +1218,22 @@ class TensorNameMap:
             "model.layers.{bid}.self_attn.vision_expert_query_key_value",  # cogvlm
         ),
 
+        MODEL_TENSOR.INDEXER_K_NORM: (
+            "model.layers.{bid}.self_attn.indexer.k_norm", # DSA
+        ),
+
+        MODEL_TENSOR.INDEXER_PROJ: (
+            "model.layers.{bid}.self_attn.indexer.weights_proj", # DSA
+        ),
+
+        MODEL_TENSOR.INDEXER_ATTN_K: (
+            "model.layers.{bid}.self_attn.indexer.wk", # DSA
+        ),
+
+        MODEL_TENSOR.INDEXER_ATTN_Q_B: (
+            "model.layers.{bid}.self_attn.indexer.wq_b", # DSA
+        ),
+
         ############################################################################
         # TODO: these do not belong to block_mappings_cfg - move them to mappings_cfg
         MODEL_TENSOR.ENC_OUTPUT_NORM: (
@@ -1224,6 +1252,10 @@ class TensorNameMap:
         MODEL_TENSOR.CLS_OUT: (
             "classifier.out_proj", # roberta
         ),
+
+        MODEL_TENSOR.CLS_NORM: (
+            "head.norm", # modern-bert
+        ),
         #############################################################################
 
         MODEL_TENSOR.CONVNEXT_DW: (
@@ -1305,6 +1337,7 @@ class TensorNameMap:
             "multi_modal_projector.linear_{bid}",
             "mm_projector.proj.linear_{bid}", # Kimi-K2.5
             "visual.merger.mlp.{bid}", # qwen2vl
+            "mlp_AR.linear_{bid}", # PaddleOCR-VL
             "merger.mlp.{bid}",
         ),
 
@@ -1330,6 +1363,7 @@ class TensorNameMap:
             "model.vision_tower.embeddings.cls_token", # Intern-S1
             "vision_model.class_embedding", # llama 4
             "model.vision.patch_embedding.cls_embedding", # cogvlm
+            "vision_model.radio_model.model.patch_generator.cls_token.token", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_PATCH: (
@@ -1344,6 +1378,7 @@ class TensorNameMap:
             "vision_tower.patch_embed.proj", # kimi-vl
             "model.vision.patch_embedding.proj", # cogvlm
             "siglip2.vision_model.embeddings.patch_embedding",
+            "vision_model.radio_model.model.patch_generator.embedder", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_NORM: (
@@ -1360,12 +1395,14 @@ class TensorNameMap:
             "visual.pos_embed", # qwen3vl
             "model.vision.patch_embedding.position_embedding", # cogvlm
             "visual.embeddings.position_embedding", # glm4v
+            "vision_model.radio_model.model.patch_generator.pos_embed", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_QKV: (
             "visual.blocks.{bid}.attn.qkv", # qwen3vl
             "model.vision.transformer.layers.{bid}.attention.query_key_value", # cogvlm
-            "vision_tower.encoder.blocks.{bid}.wqkv" # Kimi-K2.5
+            "vision_tower.encoder.blocks.{bid}.wqkv", # Kimi-K2.5
+            "vision_model.radio_model.model.blocks.{bid}.attn.qkv", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_Q: (
@@ -1384,6 +1421,7 @@ class TensorNameMap:
         MODEL_TENSOR.V_ENC_ATTN_Q_NORM: (
             "vision_tower.vision_model.encoder.layers.{bid}.attn.q_norm", # InternVL
             "model.vision_tower.encoder.layer.{bid}.attention.q_norm", # Intern-S1
+            "visual.blocks.{bid}.attn.q_norm", # GLM-OCR
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_K: (
@@ -1402,6 +1440,7 @@ class TensorNameMap:
         MODEL_TENSOR.V_ENC_ATTN_K_NORM: (
             "vision_tower.vision_model.encoder.layers.{bid}.attn.k_norm", # InternVL
             "model.vision_tower.encoder.layer.{bid}.attention.k_norm", # Intern-S1
+            "visual.blocks.{bid}.attn.k_norm", # GLM-OCR
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_V: (
@@ -1430,6 +1469,7 @@ class TensorNameMap:
             "vision_tower.encoder.blocks.{bid}.norm0", # kimi-vl (norm0/norm1)
             "model.vision.transformer.layers.{bid}.input_layernorm", # cogvlm
             "siglip2.vision_model.encoder.layers.{bid}.layer_norm1",
+            "vision_model.radio_model.model.blocks.{bid}.norm1", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_O: (
@@ -1446,6 +1486,7 @@ class TensorNameMap:
             "vision_tower.encoder.blocks.{bid}.wo", # kimi-vl
             "model.vision.transformer.layers.{bid}.attention.dense", # cogvlm
             "siglip2.vision_model.encoder.layers.{bid}.self_attn.out_proj", # youtuvl
+            "vision_model.radio_model.model.blocks.{bid}.attn.proj", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_POST_ATTN_NORM: (
@@ -1461,6 +1502,7 @@ class TensorNameMap:
             "vision_tower.encoder.blocks.{bid}.norm1", # kimi-vl (norm0/norm1)
             "model.vision.transformer.layers.{bid}.post_attention_layernorm", # cogvlm
             "siglip2.vision_model.encoder.layers.{bid}.layer_norm2",
+            "vision_model.radio_model.model.blocks.{bid}.norm2", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_FFN_UP: (
@@ -1477,6 +1519,7 @@ class TensorNameMap:
             "vision_tower.encoder.blocks.{bid}.mlp.fc0", # kimi-vl (fc0/fc1)
             "model.vision.transformer.layers.{bid}.mlp.fc1", # cogvlm
             "siglip2.vision_model.encoder.layers.{bid}.mlp.fc1",
+            "vision_model.radio_model.model.blocks.{bid}.mlp.fc1", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_ENC_FFN_GATE: (
@@ -1499,6 +1542,7 @@ class TensorNameMap:
             "vision_tower.encoder.blocks.{bid}.mlp.fc1", # kimi-vl (fc0/fc1)
             "model.vision.transformer.layers.{bid}.mlp.fc2", # cogvlm
             "siglip2.vision_model.encoder.layers.{bid}.mlp.fc2",
+            "vision_model.radio_model.model.blocks.{bid}.mlp.fc2", # Nemotron Nano v2 VL
         ),
 
         MODEL_TENSOR.V_LAYER_SCALE_1: (
@@ -1543,6 +1587,7 @@ class TensorNameMap:
             "mm_projector.pre_norm", # Kimi-K2.5
             "pre_mm_projector_norm",
             "model.vision.linear_proj.norm1", # cogvlm
+            "mlp_AR.pre_norm", # PaddleOCR-VL
             "merger.ln_q",
         ),
 
@@ -1568,6 +1613,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_RESMPL_ATTN_OUT: (
             "resampler.attn.out_proj",
+            "model.vision_model.head.attention.out_proj",
         ),
 
         MODEL_TENSOR.V_RESMPL_KV: (
diff --git a/gguf-py/pyproject.toml b/gguf-py/pyproject.toml
index 48693ae3e3a..5fb2755f1ae 100644
--- a/gguf-py/pyproject.toml
+++ b/gguf-py/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "gguf"
-version = "0.17.1"
+version = "0.18.0"
 description = "Read and write ML models in GGUF for GGML"
 authors = ["GGML <ggml@ggml.ai>"]
 packages = [
diff --git a/gguf-py/tests/test_metadata.py b/gguf-py/tests/test_metadata.py
index 40d484f4eaa..b77c563ff25 100755
--- a/gguf-py/tests/test_metadata.py
+++ b/gguf-py/tests/test_metadata.py
@@ -164,7 +164,7 @@ def test_get_model_id_components(self):
         self.assertEqual(gguf.Metadata.get_model_id_components("Llama-3-Instruct-abliteration-LoRA-8B"),
                          ('Llama-3-Instruct-abliteration-LoRA-8B', None, 'Llama-3', 'Instruct-abliteration-LoRA', None, '8B'))
 
-        # Negative size --> output is a LoRA adaper --> prune "LoRA" out of the name to avoid redundancy with the suffix
+        # Negative size --> output is a LoRA adapter --> prune "LoRA" out of the name to avoid redundancy with the suffix
         self.assertEqual(gguf.Metadata.get_model_id_components("Llama-3-Instruct-abliteration-LoRA-8B", -1234),
                          ('Llama-3-Instruct-abliteration-LoRA-8B', None, 'Llama-3', 'Instruct-abliteration', None, '8B'))
 
diff --git a/gguf-py/tests/test_quants.py b/gguf-py/tests/test_quants.py
index 172fa0018ac..9aa7c4ae2a5 100755
--- a/gguf-py/tests/test_quants.py
+++ b/gguf-py/tests/test_quants.py
@@ -68,6 +68,7 @@ def __init__(self, libggml: Path):
             "q2_K", "q3_K", "q4_K", "q5_K", "q6_K",
             "tq1_0", "tq2_0",
             "mxfp4",
+            "nvfp4",
             "iq2_xxs", "iq2_xs", "iq2_s", "iq3_xxs", "iq3_s", "iq1_s", "iq1_m",
             "iq4_nl", "iq4_xs",
         ):
diff --git a/include/llama.h b/include/llama.h
index 46c3672e983..c6e102abe51 100644
--- a/include/llama.h
+++ b/include/llama.h
@@ -5,6 +5,7 @@
 #include "ggml-cpu.h"
 #include "ggml-backend.h"
 #include "ggml-opt.h"
+#include "gguf.h"
 
 #include <stddef.h>
 #include <stdint.h>
@@ -152,6 +153,7 @@ extern "C" {
         LLAMA_FTYPE_MOSTLY_TQ1_0         = 36, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_TQ2_0         = 37, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_MXFP4_MOE     = 38, // except 1d tensors
+        LLAMA_FTYPE_MOSTLY_NVFP4         = 39, // except 1d tensors
 
         LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file
     };
@@ -389,6 +391,7 @@ extern "C" {
         bool only_copy;                       // only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
         bool pure;                            // quantize all tensors to the default type
         bool keep_split;                      // quantize to the same number of shards
+        bool dry_run;                         // calculate and show the final quantization size without performing quantization
         void * imatrix;                       // pointer to importance matrix data
         void * kv_overrides;                  // pointer to vector containing overrides
         void * tensor_types;                  // pointer to vector containing tensor types
@@ -439,19 +442,30 @@ extern "C" {
 
     LLAMA_API void llama_detach_threadpool(struct llama_context * ctx);
 
+    typedef void (*llama_model_set_tensor_data_t)(struct ggml_tensor * tensor, void * userdata);
+
+    // Create a new model from GGUF metadata as well as a function to set the tensor data
+    //   - tensors are created as GGML_TYPE_F32 by default,
+    //     override by adding a tensor with the same name but a different name to the context
+    LLAMA_API struct llama_model * llama_model_init_from_user(
+                    struct gguf_context * metadata,
+          llama_model_set_tensor_data_t   set_tensor_data,    // function to initialize tensor data with
+                                   void * set_tensor_data_ud, // userdata for function
+              struct llama_model_params   params);
+
     DEPRECATED(LLAMA_API struct llama_model * llama_load_model_from_file(
                              const char * path_model,
               struct llama_model_params   params),
             "use llama_model_load_from_file instead");
 
-    // Load the model from a file
+    // Load a model from a file
     // If the file is split into multiple parts, the file name must follow this pattern: <name>-%05d-of-%05d.gguf
     // If the split file name does not follow this pattern, use llama_model_load_from_splits
     LLAMA_API struct llama_model * llama_model_load_from_file(
                              const char * path_model,
               struct llama_model_params   params);
 
-    // Load the model from multiple splits (support custom naming scheme)
+    // Load a model from multiple splits (support custom naming scheme)
     // The paths must be in the correct order
     LLAMA_API struct llama_model * llama_model_load_from_splits(
                              const char ** paths,
@@ -656,21 +670,12 @@ extern "C" {
 
     // The following functions operate on a llama_context, hence the naming: llama_verb_...
 
-    // Add a loaded LoRA adapter to given context
-    // This will not modify model's weight
-    LLAMA_API int32_t llama_set_adapter_lora(
+    // Set LoRa adapters on the context. Will only modify if the adapters currently in context are different.
+    LLAMA_API int32_t llama_set_adapters_lora(
             struct llama_context * ctx,
-            struct llama_adapter_lora * adapter,
-            float scale);
-
-    // Remove a specific LoRA adapter from given context
-    // Return -1 if the adapter is not present in the context
-    LLAMA_API int32_t llama_rm_adapter_lora(
-            struct llama_context * ctx,
-            struct llama_adapter_lora * adapter);
-
-    // Remove all LoRA adapters from given context
-    LLAMA_API void llama_clear_adapter_lora(struct llama_context * ctx);
+            struct llama_adapter_lora ** adapters,
+            size_t n_adapters,
+            float * scales);
 
     // Apply a loaded control vector to a llama_context, or if data is NULL, clear
     // the currently loaded vector.
@@ -678,7 +683,7 @@ extern "C" {
     // to an n_embd x n_layers buffer starting from layer 1.
     // il_start and il_end are the layer range the vector should apply to (both inclusive)
     // See llama_control_vector_load in common to load a control vector.
-    LLAMA_API int32_t llama_apply_adapter_cvec(
+    LLAMA_API int32_t llama_set_adapter_cvec(
             struct llama_context * ctx,
                      const float * data,
                           size_t   len,
@@ -981,7 +986,7 @@ extern "C" {
 
     // Logits for the ith token. For positive indices, Equivalent to:
     // llama_get_logits(ctx) + ctx->output_ids[i]*n_vocab
-    // Negative indicies can be used to access logits in reverse order, -1 is the last logit.
+    // Negative indices can be used to access logits in reverse order, -1 is the last logit.
     // returns NULL for invalid ids.
     LLAMA_API float * llama_get_logits_ith(struct llama_context * ctx, int32_t i);
 
@@ -996,7 +1001,7 @@ extern "C" {
 
     // Get the embeddings for the ith token. For positive indices, Equivalent to:
     // llama_get_embeddings(ctx) + ctx->output_ids[i]*n_embd
-    // Negative indicies can be used to access embeddings in reverse order, -1 is the last embedding.
+    // Negative indices can be used to access embeddings in reverse order, -1 is the last embedding.
     // shape: [n_embd] (1-dimensional)
     // returns NULL for invalid ids.
     LLAMA_API float * llama_get_embeddings_ith(struct llama_context * ctx, int32_t i);
@@ -1016,9 +1021,9 @@ extern "C" {
     // Returns LLAMA_TOKEN_NULL if no token was sampled.
     LLAMA_API llama_token llama_get_sampled_token_ith(struct llama_context * ctx, int32_t i);
 
-    // Get the backend sampled probabilites for the ith token
+    // Get the backend sampled probabilities for the ith token
     // The index matches llama_get_sampled_token_ith().
-    // Returns NULL if no probabilites were generated.
+    // Returns NULL if no probabilities were generated.
     LLAMA_API float *  llama_get_sampled_probs_ith      (struct llama_context * ctx, int32_t i);
     LLAMA_API uint32_t llama_get_sampled_probs_count_ith(struct llama_context * ctx, int32_t i);
 
@@ -1150,9 +1155,9 @@ extern "C" {
     //
 
     /// Apply chat template. Inspired by hf apply_chat_template() on python.
-    /// Both "model" and "custom_template" are optional, but at least one is required. "custom_template" has higher precedence than "model"
+    ///
     /// NOTE: This function does not use a jinja parser. It only support a pre-defined list of template. See more: https://github.com/ggml-org/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template
-    /// @param tmpl A Jinja template to use for this chat. If this is nullptr, the model’s default chat template will be used instead.
+    /// @param tmpl A Jinja template to use for this chat.
     /// @param chat Pointer to a list of multiple llama_chat_message
     /// @param n_msg Number of llama_chat_message in this chat
     /// @param add_ass Whether to end the prompt with the token(s) that indicate the start of an assistant message.
@@ -1345,7 +1350,7 @@ extern "C" {
                                float   tau,
                                float   eta);
 
-    /// @details Intializes a GBNF grammar, see grammars/README.md for details.
+    /// @details Initializes a GBNF grammar, see grammars/README.md for details.
     /// @param vocab The vocabulary that this grammar will be used with.
     /// @param grammar_str The production rules for the grammar, encoded as a string. Returns an empty grammar if empty. Returns NULL if parsing of grammar_str fails.
     /// @param grammar_root The name of the start symbol for the grammar.
diff --git a/models/templates/Apertus-8B-Instruct.jinja b/models/templates/Apertus-8B-Instruct.jinja
index 10826ff6901..432ae59a406 100644
--- a/models/templates/Apertus-8B-Instruct.jinja
+++ b/models/templates/Apertus-8B-Instruct.jinja
@@ -97,20 +97,20 @@
 
 {%- macro render_tools(tools) -%}
     {%- for tool in tools %}
-        {{- "// " + tool.description + "\n" }}
-        {{- "type "+ tool.name + " = " }}
-        {%- if tool.parameters and tool.parameters.properties %}
+        {{- "// " + tool.function.description + "\n" }}
+        {{- "type "+ tool.function.name + " = " }}
+        {%- if tool.function.parameters and tool.function.parameters.properties %}
             {{- "(_: {\n" }}
-            {%- for param_name, param_spec in tool.parameters.properties.items() %}
+            {%- for param_name, param_spec in tool.function.parameters.properties.items() %}
                 {%- if param_spec.description %}
                     {{- "// " + param_spec.description + "\n" }}
                 {%- endif %}
                 {{- param_name }}
-                {%- if param_name not in (tool.parameters.required or []) -%}
+                {%- if param_name not in (tool.function.parameters.required or []) -%}
                     {{- "?" }}
                 {%- endif -%}
                 {{- ": " }}
-                {{- render_typescript_type(param_spec, tool.parameters.required or []) }}
+                {{- render_typescript_type(param_spec, tool.function.parameters.required or []) }}
                 {%- if param_spec.default is defined -%}
                     {%- if param_spec.enum %}
                         {{- ", // default: " + param_spec.default }}
@@ -294,7 +294,7 @@
             {%- for tool_call in message.tool_calls -%}
                 {%- if tool_call.type == 'function' -%}
                     {%- set function = tool_call.function -%}
-                    {{- '{"' + function.name + '": ' + function.arguments + '}' }}
+                    {{- '{"' + function.name + '": ' + function.arguments|tojson + '}' }}
                     {%- if not loop.last -%}
                         {{- ", " }}
                     {%- endif -%}
diff --git a/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja
new file mode 100755
index 00000000000..a60a95f44d2
--- /dev/null
+++ b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja
@@ -0,0 +1,172 @@
+{# ---------------------------------------------------------------------- #}
+{# ƛƬ Default setup and flags                                             #}
+{# ---------------------------------------------------------------------- #}
+{%- set messages = messages or [] -%}
+{%- set tools = tools or [] -%}
+{%- set add_generation_prompt = add_generation_prompt or false -%}
+{%- set available_tool_string = '' -%}
+{%- set add_tool_id = true -%}
+{%- set add_thoughts = true -%}            {# whether to include <thinking> reasoning blocks #}
+{%- set add_generation_prompt = true -%}      {# whether to emit reasoning starter before assistant response #}
+{# Optional token placeholders (safe defaults) #}
+{%- set bos_token = bos_token or '' -%}
+{%- set eos_token = eos_token or '' -%}
+{# ---------------------------------------------------------------------- #}
+{# Core reasoning prompt and assistant reasoning prefix                 #}
+{# ---------------------------------------------------------------------- #}
+{%- set reasoning_prompt -%}
+    You are a thoughtful, systematic AI assistant from ServiceNow Language Models (SLAM) lab.
+    Analyze each question carefully, present your reasoning step-by-step, then provide the final
+    response after the marker [BEGIN FINAL RESPONSE].
+{%- endset -%}
+{%- set reasoning_asst_turn_start = 'Here are my reasoning steps:\n' -%}
+{# ---------------------------------------------------------------------- #}
+{# Tool list and tool call output format                                  #}
+{# ---------------------------------------------------------------------- #}
+{%- if tools|length > 0 -%}
+    {%- set available_tool_string -%}
+        You are provided with function signatures within <available_tools></available_tools> XML tags.
+        You may call one or more functions to assist with the user query.
+        Don't make assumptions about the arguments. You should infer the argument values from previous
+        user responses and the system message.
+        Here are the available tools: 
+        <available_tools>
+        {% for tool in tools %}{{ tool|string }}{% endfor %}
+        
+        </available_tools>.
+
+        Return all function calls as a list of JSON objects within <tool_calls></tool_calls> XML tags.
+        Each JSON object should contain a function name and arguments as follows:
+        <tool_calls>[
+            {"name": <function-name-1>, "arguments": <args-dict-1>},
+            {"name": <function-name-2>, "arguments": <args-dict-2>},
+            ...
+        ]</tool_calls>
+    {%- endset -%}
+{%- endif -%}
+{# ---------------------------------------------------------------------- #}
+{# Start system block if first message is not system                      #}
+{# ---------------------------------------------------------------------- #}
+{%- if messages|length > 0 and messages[0]['role'] != 'system' -%}
+    {%- if tools|length > 0 -%}
+        {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' + available_tool_string + '\n' }}
+    {%- else -%}
+        {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' }}
+    {%- endif -%}
+{%- endif -%}
+{# ---------------------------------------------------------------------- #}
+{# Iterate through messages                                             #}
+{# ---------------------------------------------------------------------- #}
+{%- for message in messages -%}
+
+    {# ---------------- USER MESSAGE ---------------- #}
+    {%- if message['role'] == 'user' -%}
+        {{ '<|begin_user|>\n' }}
+        {%- if message['content'] is not string -%}
+            {%- for chunk in message['content'] -%}
+                {%- if chunk['type'] == 'text' -%}
+                    {{ chunk['text'] }}
+                {%- elif chunk['type'] in ['image', 'image_url'] -%}
+                    {{ '[IMG]' }}
+                {%- else -%}
+                    {{ raise_exception('Unrecognized content type!') }}
+                {%- endif -%}
+            {%- endfor -%}
+        {%- else -%}
+            {{ message['content'] }}
+        {%- endif -%}
+
+    {# ---------------- SYSTEM MESSAGE ---------------- #}
+    {%- elif message['role'] == 'system' -%}
+        {%- set sys_content = message.get('content', '') -%}
+        {%- if sys_content and sys_content|length > 0 -%}
+            {%- if sys_content is string -%}
+                {%- set system_message = sys_content -%}
+            {%- else -%}
+                {%- set system_message = sys_content[0]['text'] -%}
+            {%- endif -%}
+        {%- else -%}
+            {%- set system_message = '' -%}
+        {%- endif -%}
+
+        {%- if tools|length > 0 -%}
+            {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' + system_message + '\n' + available_tool_string + '\n' }}
+        {%- else -%}
+            {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' + system_message + '\n' }}
+        {%- endif -%}
+
+    {# ---------------- ASSISTANT MESSAGE ---------------- #}
+    {%- elif message['role'] == 'assistant' -%}
+        {%- if loop.last -%}
+            {%- set add_tool_id = false -%}
+        {%- endif -%}
+
+        {{ '\n<|begin_assistant|>\n' }}
+
+        {%- if add_thoughts and message.get('reasoning_content') and loop.last -%}
+            {{ message['reasoning_content'] + '\n[BEGIN FINAL RESPONSE]\n' }}
+        {%- endif -%}
+
+        {%- set asst_content = message.get('content', '') -%}
+        {%- if asst_content and asst_content|length > 0 -%}
+            {%- if asst_content is not string -%}
+                {%- set asst_text = asst_content[0]['text'] -%}
+            {%- else -%}
+                {%- set asst_text = asst_content -%}
+            {%- endif -%}
+            {# For historical turns (not the last), strip reasoning and keep only final response #}
+            {%- if not loop.last and '[BEGIN FINAL RESPONSE]' in asst_text -%}
+                {{- asst_text.split('[BEGIN FINAL RESPONSE]')[-1] | trim -}}
+            {%- else -%}
+                {{- asst_text -}}
+            {%- endif -%}
+        {%- elif message.get('chosen') and message['chosen']|length > 0 -%}
+            {{ message['chosen'][0] }}
+        {%- endif -%}
+
+        {# Tool call output #}
+        {%- set tool_calls = message.get('tool_calls', []) -%}
+        {%- if tool_calls and tool_calls|length > 0 -%}
+            {{ '\n<tool_calls>[' }}
+            {%- for tool_call in tool_calls -%}
+                {{ '{"name": "' + tool_call['function']['name'] + '", "arguments": ' + tool_call['function']['arguments']|tojson }}
+                {%- if add_tool_id == true and 'id' in tool_call -%}
+                    {{ ', "id": "' + tool_call['id'] + '"' }}
+                {%- endif -%}
+                {{ '}' }}
+                {%- if not loop.last -%}{{ ', ' }}{%- endif -%}
+            {%- endfor -%}
+            {{ ']</tool_calls>' }}
+        {%- endif -%}
+
+        {%- set training_prompt = training_prompt if (training_prompt is defined) else false -%}
+        {%- if not loop.last or training_prompt -%}
+            {{ '\n<|end|>\n' }}
+        {%- endif -%}
+
+    {# ---------------- TOOL RESULT MESSAGE ---------------- #}
+    {%- elif message['role'] == 'tool' -%}
+        {%- set tool_content = message.get('content', '') -%}
+        {%- if tool_content is string -%}
+            {%- set tool_message = tool_content -%}
+        {%- else -%}
+            {%- set tool_message = tool_content[0]['text'] if tool_content else '' -%}
+        {%- endif -%}
+        {{ '<|begin_tool_result|>\n' + tool_message|string + '\n' }}
+
+    {# ---------------- CONTENT MESSAGE ---------------- #}
+    {%- elif message['role'] == 'content' -%}
+        {%- set msg_content = message.get('content', '') -%}
+        {%- if msg_content is not string -%}
+            {{ '<|begin_content|>\n' + msg_content[0]['text'] + '\n' }}
+        {%- else -%}
+            {{ '<|begin_content|>\n' + msg_content + '\n' }}
+        {%- endif -%}
+    {%- endif -%}
+
+    {# ---------------- REASONING PROMPT BEFORE NEXT ASSISTANT ---------------- #}
+    {%- if loop.last and add_generation_prompt and message['role'] != 'assistant' -%}
+        {{ '\n<|begin_assistant|>\n' + reasoning_asst_turn_start }}
+    {%- endif -%} 
+
+{%- endfor -%}
diff --git a/models/templates/Bielik-11B-v3.0-Instruct.jinja b/models/templates/Bielik-11B-v3.0-Instruct.jinja
new file mode 100644
index 00000000000..40ef50076eb
--- /dev/null
+++ b/models/templates/Bielik-11B-v3.0-Instruct.jinja
@@ -0,0 +1,77 @@
+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content'] %}
+    {%- set loop_start_index = 1 %}
+{%- else %}
+    {%- set system_message = "" %}
+    {%- set loop_start_index = 0 %}
+{%- endif %}
+
+{%- if system_message or tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if system_message %}
+        {{- system_message }}
+    {%- endif %}
+    {%- if tools %}
+        {{- '\n\nMasz dostęp do następujących narzędzi. Definicje narzędzi znajdują się poniżej wewnątrz znaczników <|function_list|>:\n<|function_list|>\n' }}
+        {{- '[' }}
+        {%- for tool in tools %}
+            {{- tool | tojson }}
+            {%- if not loop.last %}
+                {{- ',\n' }}
+            {%- endif %}
+        {%- endfor %}
+        {{- ']\n<|function_list|>\n\nAby wywołać narzędzie, użyj formatu <tool_call>{"name": "nazwa_narzędzia", "arguments": {"argument": "wartość"}}</tool_call>. Wyniki działania narzędzi zostaną przekazane z markerem <|function_output|>.\n' }}
+    {%- endif %}
+    {%- if enable_thinking %}
+        {{- '\n\nZanim odpowiesz na pytanie, najpierw przemyśl swoje kroki i umieść swoje myśli wewnątrz tagów <think>...</think>. Musisz najpierw pomyśleć, zanim udzielisz odpowiedzi. ' -}}
+        {{- 'WAŻNE: Powinieneś myśleć w tym samym języku, co pytanie użytkownika. Jeśli pytanie jest zadane po polsku, powinieneś również myśleć po polsku. Jeśli pytanie jest po angielsku, myślisz również po angielsku itd. ' }}
+        {{- '** PAMIĘTAJ! ** Pytanie po polsku -> myślenie po polsku -> odpowiedź po polsku!' -}}
+        {{- '*** BARDZO WAŻNE!!! *** Jesteś Bielikiem, polskim modelem językowym. Twoją główną cechą jest umiejętność pisania po polsku. Jeśli użytkownik zadaje Ci pytania po polsku, ZAWSZE odpowiadaj po polsku. ' -}}
+        {{- 'Nawet, jeśli korzystasz z narzędzia, którego większość instrukcji jest po angielsku, powinieneś przede wszystkim odpowiadać po polsku, jeśli użytkownik zadaje pytanie w tym języku. ' -}}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- endif %}
+
+{%- for message in messages[loop_start_index:] %}
+    {%- if message['role'] == 'user' %}
+        {{- '<|im_start|>user\n' + message['content'] + '<|im_end|>\n' }}
+    {%- elif message['role'] == 'assistant' %}
+        {{- '<|im_start|>assistant\n' }}
+        {%- set content = message.content | default('') %}
+        {%- set reasoning_content = message.reasoning_content | default('') %}
+        {%- if not reasoning_content and '<think>' in content and '</think>' in content %}
+            {%- set reasoning_parts = content.split('</think>') %}
+            {%- set reasoning_content = reasoning_parts[0].split('<think>')[-1] %}
+            {%- set content = reasoning_parts[1:] | join('</think>') %}
+        {%- endif %}
+        {%- if reasoning_content %}
+            {{- '<think>\n' + reasoning_content.strip() + '\n</think>\n' }}
+        {%- endif %}
+        {{- content.lstrip() }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '\n<tool_call>\n{"name": "' + tool_call.name + '", "arguments": ' + (tool_call.arguments if tool_call.arguments is string else tool_call.arguments | tojson) + '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message['role'] == 'tool' %}
+        {%- if loop.index0 == 0 or messages[loop.index0 - 1]['role'] != 'tool' %}
+            {{- '<|im_start|>user\n' }}
+        {%- endif %}
+        {{- '<|function_output|>' + message['content'] }}
+        {%- if loop.last or messages[loop.index0 + 1]['role'] != 'tool' %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
index 078e9f5458e..fcf1259d33c 100644
--- a/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
+++ b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
@@ -132,7 +132,7 @@ The following instructions take precedence over instructions in the default prea
     {%- elif message.role|lower == 'user' %}
 <|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ message.content }}<|END_OF_TURN_TOKEN|>{%- if documents and not sent_documents.value %}{%- set sent_documents.value = true %}{% set tool_idx.value = tool_idx.value + 1 %}{{ document_turn(documents) }}{% endif %}
     {%- elif message.role|lower == 'assistant' or message.role|lower == 'chatbot' %}
-<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if message.tool_calls %}<|START_THINKING|>{{message.tool_plan}}<|END_THINKING|><|START_ACTION|>[
+<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if message.tool_calls %}<|START_THINKING|>{{message.reasoning_content}}<|END_THINKING|><|START_ACTION|>[
     {% for tc in message.tool_calls %}
     {"tool_call_id": "{{ tool_idx.value }}", "tool_name": "{{ tc['function']['name'] }}", "parameters": {{ tc['function']['arguments']|tojson }}}{% if not loop.last %},{% endif %}
 
@@ -153,4 +153,4 @@ The following instructions take precedence over instructions in the default prea
 
 ]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>
     {%- endif %}
-{%- endfor %}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
\ No newline at end of file
+{%- endfor %}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{%- if not enable_thinking -%}<|START_THINKING|><|END_THINKING|>{%- endif %}
\ No newline at end of file
diff --git a/models/templates/GLM-4.7-Flash.jinja b/models/templates/GLM-4.7-Flash.jinja
new file mode 100644
index 00000000000..2ab98ef068d
--- /dev/null
+++ b/models/templates/GLM-4.7-Flash.jinja
@@ -0,0 +1,86 @@
+[gMASK]<sop>
+{%- if tools -%}
+<|system|>
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{% for tool in tools %}
+{{ tool | tojson(ensure_ascii=False) }}
+{% endfor %}
+</tools>
+
+For each function call, output the function name and arguments within the following XML format:
+<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
+{%- macro visible_text(content) -%}
+    {%- if content is string -%}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping -%}
+        {%- for item in content -%}
+            {%- if item is mapping and item.type == 'text' -%}
+                {{- item.text }}
+            {%- elif item is string -%}
+                {{- item }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{- content }}
+    {%- endif -%}
+{%- endmacro -%}
+{%- set ns = namespace(last_user_index=-1) %}
+{%- for m in messages %}
+    {%- if m.role == 'user' %}
+        {% set ns.last_user_index = loop.index0 -%}
+    {%- endif %}
+{%- endfor %}
+{% for m in messages %}
+{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
+{%- elif m.role == 'assistant' -%}
+<|assistant|>
+{%- set reasoning_content = '' %}
+{%- set content = visible_text(m.content) %}
+{%- if m.reasoning_content is string %}
+    {%- set reasoning_content = m.reasoning_content %}
+{%- else %}
+    {%- if '</think>' in content %}
+        {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+        {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+    {%- endif %}
+{%- endif %}
+{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
+{{ '<think>' + reasoning_content.strip() +  '</think>'}}
+{%- else -%}
+{{ '</think>' }}
+{%- endif -%}
+{%- if content.strip() -%}
+{{ content.strip() }}
+{%- endif -%}
+{% if m.tool_calls %}
+{% for tc in m.tool_calls %}
+{%- if tc.function %}
+    {%- set tc = tc.function %}
+{%- endif %}
+{{- '<tool_call>' + tc.name -}}
+{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
+{% endif %}
+{%- elif m.role == 'tool' -%}
+{%- if m.content is string -%}
+{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+    {{- '<|observation|>' }}
+{%- endif %}
+{{- '<tool_response>' }}
+{{- m.content }}
+{{- '</tool_response>' }}
+{%- else -%}
+<|observation|>{% for tr in m.content %}
+<tool_response>{{ tr.output if tr.output is defined else tr }}</tool_response>{% endfor -%}
+{% endif -%}
+{%- elif m.role == 'system' -%}
+<|system|>{{ visible_text(m.content) }}
+{%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    <|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
+{%- endif -%}
\ No newline at end of file
diff --git a/models/templates/GigaChat3-10B-A1.8B.jinja b/models/templates/GigaChat3-10B-A1.8B.jinja
new file mode 100644
index 00000000000..f9826a4457f
--- /dev/null
+++ b/models/templates/GigaChat3-10B-A1.8B.jinja
@@ -0,0 +1,355 @@
+{#--------TOOL RENDERING FUNCTIONS---------#}
+
+{#---------------------------------------------------------------
+  Converts JSON Schema (dict) to a TypeScript type definition
+----------------------------------------------------------------#}
+{%- macro json_schema_to_typescript(schema, indent="") -%}
+	{%- set ADDITIONAL_JSON_KEYS = ['format', 'maxItems', 'maximum', 'minItems', 'minimum', 'pattern'] -%}
+	{%- set ty = schema.get("type") -%}
+
+	{# ---------------- OBJECT ---------------- #}
+	{%- if ty == "object" -%}
+		{{- "{\n" -}}
+
+		{# Start building property list #}
+		{%- set props = schema.get("properties", {}) -%}
+		{%- set required = schema.get("required", []) -%}
+		{%- set has_additional_props = schema.get("additionalProperties") is defined -%}
+		{%- set additional_props_type = none -%}
+		{%- if has_additional_props -%}
+			{%- if schema.additionalProperties == true -%}
+				{%- set additional_props_type = {'type': 'any'} -%}
+			{%- elif schema.additionalProperties is mapping -%}
+				{%- set additional_props_type = schema.additionalProperties -%}
+			{%- endif -%}
+		{%- endif -%}
+
+		{%- for key, val in props.items() -%}
+			{# ---------- Description Comments ---------- #}
+			{%- if "description" in val -%}
+				{%- for line in val['description'].split('\n') -%}
+					{%- if line.strip() -%}
+						{{- indent + '// ' + line + '\n' -}}
+					{%- endif -%}
+				{%- endfor -%}
+			{%- endif -%}
+
+			{# ---------- Additional JSON Keys ---------- #}
+			{%- for add_key, add_val in val.items() -%}
+				{%- if add_key in ADDITIONAL_JSON_KEYS -%}
+					{%- if add_val is string -%}
+						{{- indent + '// ' + add_key + ': "' + add_val + '"' + '\n'  -}}
+					{%- else -%}
+						{{- indent + '// ' + add_key + ': ' ~ add_val ~ '\n' -}}
+					{%- endif -%}
+				{%- endif -%}
+			{%- endfor -%}
+
+			{# ---------- Property Definition ---------- #}
+            {%- set type_str = json_schema_to_typescript(
+                val, 
+                indent + "  "
+            ) -%}
+
+			{{- indent + key + ('' if key in required else '?') + ': ' + type_str + ',' -}}
+
+			{%- if "default" in val or "defalut_value" in val -%}
+				{%- set default = val.get("default", val.get("defalut_value")) -%}
+				{%- if default is string -%}
+					{{- ' // default: "' + default + '"' -}}
+				{%- else -%}
+					{{- ' // default: ' ~ default -}}
+				{%- endif -%}
+			{%- endif -%}
+
+			{{- "\n" -}}
+		{%- endfor -%}
+
+		{# Handle additionalProperties as index signature #}
+		{%- if has_additional_props and additional_props_type is not none -%}
+			{%- set additional_type_str = json_schema_to_typescript(
+				additional_props_type,
+				indent + "  "
+			) -%}
+			{{- indent + '[key: string]: ' + additional_type_str + '\n' -}}
+		{%- endif -%}
+
+		{{- indent[: (indent|length - "  "|length) ] + '}' -}}
+
+	{# ---------------- STRING ---------------- #}
+	{%- elif ty == "string" -%}
+		{%- if schema.get("enum") -%}
+            {%- set ns = namespace(enum = []) -%}
+            {%- for en in schema['enum'] -%}
+                {%- set ns.enum = ns.enum + ['"' ~ en ~ '"'] -%}
+            {%- endfor -%}
+			{{- ns.enum | join(' | ') -}}
+		{%- elif schema.get("format", "none") in ['date-time', 'date'] -%}
+			{{- 'Date' -}}
+		{%- else -%}
+			{{- 'string' -}}
+		{%- endif -%}
+
+	{# ---------------- NUMBER / INTEGER ---------------- #}
+	{%- elif ty in ["number", "integer"] -%}
+		{%- if schema.get("enum") -%}
+			{{- schema.enum | join(' | ') -}}
+		{%- else -%}
+			{{- 'number' -}}
+		{%- endif -%}
+
+	{# ---------------- BOOLEAN ---------------- #}
+	{%- elif ty == "boolean" -%}
+		{{- 'boolean' -}}
+
+	{# ---------------- ARRAY ---------------- #}
+	{%- elif ty == "array" -%}
+		{%- if "items" in schema -%}
+			{{- json_schema_to_typescript(schema['items'], indent) + '[]' -}}
+		{%- else -%}
+			{{- 'Array<any>' -}}
+		{%- endif -%}
+
+	{# ---------------- FALLBACK ---------------- #}
+	{%- else -%}
+		{{- 'any' -}}
+	{%- endif -%}
+{%- endmacro -%}
+
+{#---------------------------------------------------------------
+  Renders a namespace and its tool definitions in TypeScript style
+----------------------------------------------------------------#}
+
+{%- macro render_tool_namespace(namespace_name, tools) -%}
+	{%- set ns = namespace(sections = ['namespace ' ~ namespace_name ~ ' {']) -%}
+
+	{%- for tool in tools -%}
+		{%- if tool.function -%}
+			{%- set tool = tool.function -%}
+		{%- endif -%}
+
+		{%- set ns_tool = namespace(content_lines=[]) -%}
+
+		{# ---------- TOOL DESCRIPTION ---------- #}
+		{%- if tool.get('description') -%}
+			{%- for line in tool['description'].split('\n') -%}
+				{%- if line.strip() -%}
+					{%- set ns_tool.content_lines = ns_tool.content_lines + ['// ' ~ line] -%}
+				{%- endif -%}
+			{%- endfor -%}
+		{%- endif -%}
+
+		{# ---------- TOOL SIGNATURE ---------- #}
+		{%- set main_body = "" -%}
+		{%- set params = tool.get("parameters") -%}
+		{%- if params and params.get("properties") -%}
+			{%- set param_type = json_schema_to_typescript(params, "  ") -%}
+			{%- set main_body = 'type ' ~ tool.name ~ ' = (_: ' ~ param_type ~ ') => ' -%}
+		{%- else -%}
+			{%- set main_body = 'type ' ~ tool.name ~ ' = () => ' -%}
+		{%- endif -%}
+
+		{# ---------- RETURN TYPE ---------- #}
+		{%- set return_params = tool.get("return_parameters") -%}
+		{%- if return_params and return_params.get("properties") -%}
+			{%- set return_type = json_schema_to_typescript(return_params, "  ") -%}
+			{%- set main_body = main_body ~ return_type -%}
+		{%- else -%}
+			{%- set main_body = main_body ~ 'any' -%}
+		{%- endif -%}
+
+		{%- set main_body = main_body ~ ';\n' -%}
+
+		{%- set ns_tool.content_lines = ns_tool.content_lines + [main_body] -%}
+
+		{# ---------- ADD TOOL TO SECTIONS ---------- #}
+		{%- set ns.sections = ns.sections + [ns_tool.content_lines | join('\n')] -%}
+	{%- endfor -%}
+
+	{%- set ns.sections = ns.sections + ['} // namespace ' ~ namespace_name] -%}
+
+	{{- ns.sections | join('\n') -}}
+{%- endmacro -%}
+
+
+{# ----------- MESSAGE RENDERING HELPER FUNCTIONS ------------ #}
+
+{%- macro render_role_message(message, role=None) -%}
+    {%- if not role -%}
+        {%- set role = message["role"] -%}
+    {%- endif -%}
+
+    {%- set message_content = message['content'] or '' -%}
+    {%- if message_content is not string -%}
+        {%- set message_content = message_content | tojson(ensure_ascii=False) -%}
+    {%- endif -%}
+
+    {{- role + add_tokens.role_sep + message_content + add_tokens.message_sep -}}
+
+{%- endmacro -%}
+
+
+{%- macro render_function_call(message) -%}
+    {%- set call = message['content'] -%}
+    {%- if call.function -%}
+        {%- set call = call.function -%}
+    {%- endif -%}
+
+    {%- set arguments = call['arguments'] -%}
+	{%- if arguments is not string -%}
+		{%- set arguments = arguments| tojson(ensure_ascii=False) -%}
+	{%- endif -%}
+
+    {{- render_role_message(
+        {
+            'role': 'function call',
+            'content': '{"name": "' ~ call['name'] ~ '", "arguments": ' ~ arguments ~ '}'
+        }
+    ) -}}
+{%- endmacro -%}
+
+{# ----- SPECIAL TOKENS ----- #}
+
+{%- set add_tokens = namespace(
+    role_sep="<|role_sep|>\n", 
+    message_sep="<|message_sep|>\n\n"
+) -%}
+
+{# ----- DEFAULT DEVSYSTEM ----- #}
+
+{%- set DEVSYSTEM -%}
+<role_description>
+Description of the roles available in the dialog.
+
+`developer system`
+A message added by Sber before the main dialog. It has the highest priority and sets global, non-overridable conditions (for example, conversation rules, the safety policy, the assistant's overall response style, etc.).
+
+`system`
+A system instruction added by developers or by the user, but with a lower priority than `developer system`. It usually describes the assistant's instructions, a specific response style, and other conditions for this particular dialog.
+
+`user`
+A message or request from the user. The assistant follows it if it does not conflict with higher-priority instructions (see <instruction_priority>).
+
+`user memory`
+A sequence of the most up-to-date long-term facts about the user at the time of their request, presented as a JSON list of strings. Facts are listed in chronological order, meaning newer facts are appended to the end of the sequence. When facts are changed or deleted, records of previous facts remain in the sequence. The assistant saves facts using a function and uses them in accordance with the <memory_guidelines> block below.
+
+`added files`
+Metadata about files available for use in the dialog, presented in JSON format. It contains the following keys: id (a unique file identifier), name (file name), type (file type).
+
+`assistant`
+The assistant's reply to the user's request. If the system instruction or the user does not set additional rules for `assistant`, this reply must comply with the instructions in the <assistant_guidelines> block below. The list of functions available to call is contained in `function descriptions`. The name of the required function and its arguments will be generated next by the `function call` role. In its replies, the assistant follows the instructions in accordance with <instruction_priority>.
+
+`function descriptions`
+Function descriptions in TypeScript format. A function is a special tool (or a set of instructions) that the assistant can call to perform specific actions, computations, or obtain data needed to solve the user's task. Each function description contains blocks with the name, description, and arguments. Sometimes the description contains separate blocks with return parameters and usage examples that illustrate the correct call and arguments.
+
+`function call`
+The function that `assistant` calls based on the dialog context, and its arguments. The function is invoked in strict accordance with the instructions in the <function_usage> block.
+
+`function result`
+The result of the last function call.
+</role_description>
+
+<available_modalities>
+The assistant can work with the following modalities: text, available functions.
+</available_modalities>
+
+<instruction_priority>
+If instructions from different roles conflict within the dialog context, observe the following priorities:  
+`developer system` > `system` > `user` > `function descriptions` > `function result` > `user memory`
+</instruction_priority>
+
+<function_usage>
+Basic instructions for working with functions.
+
+Only call those functions that are described in `function descriptions`.
+
+Call available functions when, according to their description, such a call will help provide a more complete and/or accurate answer to the user's request. Fill in function arguments using information from the dialog context. If a function could help answer the request but a required argument is missing from the context, ask the user for the missing data before calling the function. If a necessary function is unavailable or an error occurs, briefly inform the user and, if possible, suggest an alternative.
+</function_usage>
+
+<memory_guidelines>
+Rules for using facts in long-term memory:
+
+If there is no message under the `user memory` role in the dialog, this is equivalent to the absence of long-term facts about the user in memory. In that case, information about the user is limited to the current dialog, and no new facts should be saved.
+</memory_guidelines>
+
+<assistant_guidelines>
+You are a helpful assistant.
+
+# Instructions
+- Strictly follow the instruction priority.
+- Maintain a logical chain of reasoning when answering the user's question.
+- For complex questions (for example, STEM), try to answer in detail unless the system message or dialog context limits the response length.
+- Be helpful, truthful, and avoid unsafe or prohibited content in your responses.
+- Try to reply in the language in which the user asked their question.
+</assistant_guidelines>
+
+A dialog will follow below.
+The dialog may include various roles described in the <role_description> block.
+Each turn begins with the role name and a special token that marks the end of the role's full name, and ends with a special end-of-turn token.
+Your task is to continue the dialog from the last specified role in accordance with the dialog context.
+{%- endset -%}
+
+
+{#- ---------------------- RENDERING STARTS HERE ---------------------- -#}
+
+
+{# ----- RENDER BOS TOKEN ----- #}
+{{- bos_token -}}
+
+
+{# ----- RENDER DEVSYSTEM ----- #}
+{{- render_role_message({"role": "developer system", "content": DEVSYSTEM}) -}}
+
+{# ----- RENDER SYSTEM IF PRESENT ----- #}
+{%- if messages and messages[0]['role'] == 'system' -%}
+    {{- render_role_message(messages[0]) -}}
+    {%- set messages = messages[1:] -%}
+{%- endif -%}
+
+{# ----- RENDER TOOLS ----- #}
+{%- if tools -%}
+    {%- set tools_content = (
+        render_tool_namespace('functions', tools) 
+        + "\n\n"
+    ) -%}
+    {{- render_role_message({'role': 'function descriptions', 'content': tools_content}) -}}
+{%- endif -%}
+
+{# ----- MAIN MESSAGE LOOP ----- #}
+{%- for message in messages -%}
+
+    {# ----- TOOL MESSAGE -------#}
+    {%- if message['role'] == 'tool' -%}
+        {{- render_role_message(message, 'function result') -}}
+
+
+    {# ----- ASSISTANT MESSAGE ----- #}
+    {%- elif message['role'] == 'assistant' -%}
+
+        {# ----- FUNCTION CALL PART CHECKING: SINGLE CALL SETUP ----- #}
+        {%- if message.tool_calls is defined and message.tool_calls -%}
+            {%- set function_call = message.tool_calls[0] -%}
+        {%- else -%}
+            {%- set function_call = None -%}
+        {%- endif -%}
+
+        {# ----- MAIN ASSISTANT RENDERING ----- #}
+
+        {{- render_role_message({'role': 'assistant', 'content': message.content}) -}}
+        {%- if function_call -%}
+            {{- render_function_call({'role': 'function call', 'content': function_call}) -}}
+        {%- endif -%}
+
+        
+    {# ----- OTHER MESSAGES ----- #}
+    {%- else -%}
+        {{- render_role_message(message) -}}
+    {%- endif -%}
+
+    {# ----- ADDING GENERATION PROMPT ----- #}
+
+    {%- if loop.last and add_generation_prompt and message['role'] != 'assistant' -%}
+        {{- 'assistant' + add_tokens.role_sep -}}
+    {%- endif -%}
+
+{%- endfor -%}
\ No newline at end of file
diff --git a/models/templates/GigaChat3.1-10B-A1.8B.jinja b/models/templates/GigaChat3.1-10B-A1.8B.jinja
new file mode 100644
index 00000000000..0557754acf1
--- /dev/null
+++ b/models/templates/GigaChat3.1-10B-A1.8B.jinja
@@ -0,0 +1,339 @@
+{#--------TOOL RENDERING FUNCTIONS---------#}
+
+{#---------------------------------------------------------------
+  Converts JSON Schema (dict) to a TypeScript type definition
+----------------------------------------------------------------#}
+{%- macro json_schema_to_typescript(schema, indent="") -%}
+	{%- set ADDITIONAL_JSON_KEYS = ['format', 'maxItems', 'maximum', 'minItems', 'minimum', 'pattern'] -%}
+	{%- set ty = schema.get("type") -%}
+
+	{# ---------------- OBJECT ---------------- #}
+	{%- if ty == "object" -%}
+		{{- "{\n" -}}
+
+		{# Start building property list #}
+		{%- set props = schema.get("properties", {}) -%}
+		{%- set required = schema.get("required", []) -%}
+		{%- set has_additional_props = schema.get("additionalProperties") is defined -%}
+		{%- set additional_props_type = none -%}
+		{%- if has_additional_props -%}
+			{%- if schema.additionalProperties == true -%}
+				{%- set additional_props_type = {'type': 'any'} -%}
+			{%- elif schema.additionalProperties is mapping -%}
+				{%- set additional_props_type = schema.additionalProperties -%}
+			{%- endif -%}
+		{%- endif -%}
+
+		{%- for key, val in props.items() -%}
+			{# ---------- Description Comments ---------- #}
+			{%- if "description" in val -%}
+				{%- for line in val['description'].split('\n') -%}
+					{%- if line.strip() -%}
+						{{- indent + '// ' + line + '\n' -}}
+					{%- endif -%}
+				{%- endfor -%}
+			{%- endif -%}
+
+			{# ---------- Additional JSON Keys ---------- #}
+			{%- for add_key, add_val in val.items() -%}
+				{%- if add_key in ADDITIONAL_JSON_KEYS -%}
+					{%- if add_val is string -%}
+						{{- indent + '// ' + add_key + ': "' + add_val + '"' + '\n'  -}}
+					{%- else -%}
+						{{- indent + '// ' + add_key + ': ' ~ add_val ~ '\n' -}}
+					{%- endif -%}
+				{%- endif -%}
+			{%- endfor -%}
+
+			{# ---------- Property Definition ---------- #}
+            {%- set type_str = json_schema_to_typescript(
+                val, 
+                indent + "  "
+            ) -%}
+
+			{{- indent + key + ('' if key in required else '?') + ': ' + type_str + ',' -}}
+
+			{%- if "default" in val or "defalut_value" in val -%}
+				{%- set default = val.get("default", val.get("defalut_value")) -%}
+				{%- if default is string -%}
+					{{- ' // default: "' + default + '"' -}}
+				{%- else -%}
+					{{- ' // default: ' ~ default -}}
+				{%- endif -%}
+			{%- endif -%}
+
+			{{- "\n" -}}
+		{%- endfor -%}
+
+		{# Handle additionalProperties as index signature #}
+		{%- if has_additional_props and additional_props_type is not none -%}
+			{%- set additional_type_str = json_schema_to_typescript(
+				additional_props_type,
+				indent + "  "
+			) -%}
+			{{- indent + '[key: string]: ' + additional_type_str + '\n' -}}
+		{%- endif -%}
+
+		{{- indent[: (indent|length - "  "|length) ] + '}' -}}
+
+	{# ---------------- STRING ---------------- #}
+	{%- elif ty == "string" -%}
+		{%- if schema.get("enum") -%}
+            {%- set ns = namespace(enum = []) -%}
+            {%- for en in schema['enum'] -%}
+                {%- set ns.enum = ns.enum + ['"' ~ en ~ '"'] -%}
+            {%- endfor -%}
+			{{- ns.enum | join(' | ') -}}
+		{%- elif schema.get("format", "none") in ['date-time', 'date'] -%}
+			{{- 'Date' -}}
+		{%- else -%}
+			{{- 'string' -}}
+		{%- endif -%}
+
+	{# ---------------- NUMBER / INTEGER ---------------- #}
+	{%- elif ty in ["number", "integer"] -%}
+		{%- if schema.get("enum") -%}
+			{{- schema.enum | join(' | ') -}}
+		{%- else -%}
+			{{- 'number' -}}
+		{%- endif -%}
+
+	{# ---------------- BOOLEAN ---------------- #}
+	{%- elif ty == "boolean" -%}
+		{{- 'boolean' -}}
+
+	{# ---------------- ARRAY ---------------- #}
+	{%- elif ty == "array" -%}
+		{%- if "items" in schema -%}
+			{{- json_schema_to_typescript(schema['items'], indent) + '[]' -}}
+		{%- else -%}
+			{{- 'Array<any>' -}}
+		{%- endif -%}
+
+	{# ---------------- FALLBACK ---------------- #}
+	{%- else -%}
+		{{- 'any' -}}
+	{%- endif -%}
+{%- endmacro -%}
+
+{#---------------------------------------------------------------
+  Renders a namespace and its tool definitions in TypeScript style
+----------------------------------------------------------------#}
+
+{%- macro render_tool_namespace(namespace_name, tools) -%}
+	{%- set ns = namespace(sections = ['namespace ' ~ namespace_name ~ ' {']) -%}
+
+	{%- for tool in tools -%}
+		{%- if tool.function -%}
+			{%- set tool = tool.function -%}
+		{%- endif -%}
+
+		{%- set ns_tool = namespace(content_lines=[]) -%}
+
+		{# ---------- TOOL DESCRIPTION ---------- #}
+		{%- if tool.get('description') -%}
+			{%- for line in tool['description'].split('\n') -%}
+				{%- if line.strip() -%}
+					{%- set ns_tool.content_lines = ns_tool.content_lines + ['// ' ~ line] -%}
+				{%- endif -%}
+			{%- endfor -%}
+		{%- endif -%}
+
+		{# ---------- TOOL SIGNATURE ---------- #}
+		{%- set main_body = "" -%}
+		{%- set params = tool.get("parameters") -%}
+		{%- if params and params.get("properties") -%}
+			{%- set param_type = json_schema_to_typescript(params, "  ") -%}
+			{%- set main_body = 'type ' ~ tool.name ~ ' = (_: ' ~ param_type ~ ') => ' -%}
+		{%- else -%}
+			{%- set main_body = 'type ' ~ tool.name ~ ' = () => ' -%}
+		{%- endif -%}
+
+		{# ---------- RETURN TYPE ---------- #}
+		{%- set return_params = tool.get("return_parameters") -%}
+		{%- if return_params and return_params.get("properties") -%}
+			{%- set return_type = json_schema_to_typescript(return_params, "  ") -%}
+			{%- set main_body = main_body ~ return_type -%}
+		{%- else -%}
+			{%- set main_body = main_body ~ 'any' -%}
+		{%- endif -%}
+
+		{%- set main_body = main_body ~ ';\n' -%}
+
+		{%- set ns_tool.content_lines = ns_tool.content_lines + [main_body] -%}
+
+		{# ---------- ADD TOOL TO SECTIONS ---------- #}
+		{%- set ns.sections = ns.sections + [ns_tool.content_lines | join('\n')] -%}
+	{%- endfor -%}
+
+	{%- set ns.sections = ns.sections + ['} // namespace ' ~ namespace_name] -%}
+
+	{{- ns.sections | join('\n') -}}
+{%- endmacro -%}
+
+
+{# ----------- MESSAGE RENDERING HELPER FUNCTIONS ------------ #}
+
+{%- macro render_function_call(call) -%}
+    {%- if call.function -%}
+        {%- set call = call.function -%}
+    {%- endif -%}
+
+    {%- set arguments = call['arguments'] -%}
+	{%- if arguments is not string -%}
+		{%- set arguments = arguments| tojson(ensure_ascii=False) -%}
+	{%- endif -%}
+
+    {{- '{"name": "' ~ call['name'] ~ '", "arguments": ' ~ arguments ~ '}' -}}
+{%- endmacro -%}
+
+
+{%- macro render_role_message(message, role=None) -%}
+    {%- if not role -%}
+        {%- set role = message["role"] -%}
+    {%- endif -%}
+
+    {%- set message_content = message['content'] or '' -%}
+    {%- if message_content is not string -%}
+        {%- set message_content = message_content | tojson(ensure_ascii=False) -%}
+    {%- endif -%}
+
+    {{- role + add_tokens.role_sep + message_content -}}
+
+    {%- if message.tool_calls is defined and message.tool_calls -%}
+        {{- add_tokens.function_call + render_function_call(message.tool_calls[0]) -}}
+    {%- endif -%}
+
+    {{- add_tokens.message_sep -}}
+
+{%- endmacro -%}
+
+
+
+{# ----- SPECIAL TOKENS ----- #}
+
+{%- set add_tokens = namespace(
+    role_sep="<|role_sep|>\n", 
+    message_sep="<|message_sep|>\n\n",
+    function_call="<|function_call|>"
+) -%}
+
+{# ----- DEFAULT DEVSYSTEM ----- #}
+
+{%- set DEVSYSTEM -%}
+<role_description>
+Description of the roles available in the dialog.
+
+`developer system`
+A message added by Sber before the main dialog. It has the highest priority and sets global, non-overridable conditions (for example, conversation rules, the safety policy, the assistant's overall response style, etc.).
+
+`system`
+A system instruction added by developers or by the user, but with a lower priority than `developer system`. It usually describes the assistant's instructions, a specific response style, and other conditions for this particular dialog.
+
+`user`
+A message or request from the user. The assistant follows it if it does not conflict with higher-priority instructions (see <instruction_priority>).
+
+`user memory`
+A sequence of the most up-to-date long-term facts about the user at the time of their request, presented as a JSON list of strings. Facts are listed in chronological order, meaning newer facts are appended to the end of the sequence. When facts are changed or deleted, records of previous facts remain in the sequence. The assistant saves facts using a function and uses them in accordance with the <memory_guidelines> block below.
+
+`added files`
+Metadata about files available for use in the dialog, presented in JSON format. It contains the following keys: id (a unique file identifier), name (file name), type (file type).
+
+`assistant`
+The assistant's reply to the user's request. If the system instruction or the user does not set additional rules for `assistant`, this reply must comply with the instructions in the <assistant_guidelines> block below. The list of functions available to call is contained in `function descriptions`. The name of the required function and its arguments will be generated next by the `function call` role. In its replies, the assistant follows the instructions in accordance with <instruction_priority>.
+
+`function descriptions`
+Function descriptions in TypeScript format. A function is a special tool (or a set of instructions) that the assistant can call to perform specific actions, computations, or obtain data needed to solve the user's task. Each function description contains blocks with the name, description, and arguments. Sometimes the description contains separate blocks with return parameters and usage examples that illustrate the correct call and arguments.
+
+`function call`
+The function that `assistant` calls based on the dialog context, and its arguments. The function is invoked in strict accordance with the instructions in the <function_usage> block.
+
+`function result`
+The result of the last function call.
+</role_description>
+
+<available_modalities>
+The assistant can work with the following modalities: text, available functions.
+</available_modalities>
+
+<instruction_priority>
+If instructions from different roles conflict within the dialog context, observe the following priorities:  
+`developer system` > `system` > `user` > `function descriptions` > `function result` > `user memory`
+</instruction_priority>
+
+<function_usage>
+Basic instructions for working with functions.
+
+Only call those functions that are described in `function descriptions`.
+
+Call available functions when, according to their description, such a call will help provide a more complete and/or accurate answer to the user's request. Fill in function arguments using information from the dialog context. If a function could help answer the request but a required argument is missing from the context, ask the user for the missing data before calling the function. If a necessary function is unavailable or an error occurs, briefly inform the user and, if possible, suggest an alternative.
+</function_usage>
+
+<memory_guidelines>
+Rules for using facts in long-term memory:
+
+If there is no message under the `user memory` role in the dialog, this is equivalent to the absence of long-term facts about the user in memory. In that case, information about the user is limited to the current dialog, and no new facts should be saved.
+</memory_guidelines>
+
+<assistant_guidelines>
+You are a helpful assistant.
+
+# Instructions
+- Strictly follow the instruction priority.
+- Maintain a logical chain of reasoning when answering the user's question.
+- For complex questions (for example, STEM), try to answer in detail unless the system message or dialog context limits the response length.
+- Be helpful, truthful, and avoid unsafe or prohibited content in your responses.
+- Try to reply in the language in which the user asked their question.
+</assistant_guidelines>
+
+A dialog will follow below.
+The dialog may include various roles described in the <role_description> block.
+Each turn begins with the role name and a special token that marks the end of the role's full name, and ends with a special end-of-turn token.
+Your task is to continue the dialog from the last specified role in accordance with the dialog context.
+{%- endset -%}
+
+
+{#- ---------------------- RENDERING STARTS HERE ---------------------- -#}
+
+
+{# ----- RENDER BOS TOKEN ----- #}
+{{- bos_token -}}
+
+
+{# ----- RENDER DEVSYSTEM ----- #}
+{{- render_role_message({"role": "developer system", "content": DEVSYSTEM}) -}}
+
+{# ----- RENDER SYSTEM IF PRESENT ----- #}
+{%- if messages and messages[0]['role'] == 'system' -%}
+    {{- render_role_message(messages[0]) -}}
+    {%- set messages = messages[1:] -%}
+{%- endif -%}
+
+{# ----- RENDER TOOLS ----- #}
+{%- if tools -%}
+    {%- set tools_content = (
+        render_tool_namespace('functions', tools) 
+        + "\n\n"
+    ) -%}
+    {{- render_role_message({'role': 'function descriptions', 'content': tools_content}) -}}
+{%- endif -%}
+
+{# ----- MAIN MESSAGE LOOP ----- #}
+{%- for message in messages -%}
+
+    {# ----- TOOL MESSAGE -------#}
+    {%- if message['role'] == 'tool' -%}
+        {{- render_role_message(message, 'function result') -}}
+        
+    {# ----- OTHER MESSAGES ----- #}
+    {%- else -%}
+        {{- render_role_message(message) -}}
+    {%- endif -%}
+
+    {# ----- ADDING GENERATION PROMPT ----- #}
+
+    {%- if loop.last and add_generation_prompt and message['role'] != 'assistant' -%}
+        {{- 'assistant' + add_tokens.role_sep -}}
+    {%- endif -%}
+
+{%- endfor -%}
\ No newline at end of file
diff --git a/models/templates/llama-cpp-lfm2.jinja b/models/templates/LFM2-8B-A1B.jinja
similarity index 98%
rename from models/templates/llama-cpp-lfm2.jinja
rename to models/templates/LFM2-8B-A1B.jinja
index b7921120bc0..fab22e952bc 100644
--- a/models/templates/llama-cpp-lfm2.jinja
+++ b/models/templates/LFM2-8B-A1B.jinja
@@ -34,4 +34,4 @@
 {%- endfor -%}
 {%- if add_generation_prompt -%}
 	{{- "<|im_start|>assistant\n" -}}
-{%- endif -%}
+{%- endif -%}
\ No newline at end of file
diff --git a/models/templates/Qwen-QwQ-32B.jinja b/models/templates/Qwen-QwQ-32B.jinja
index d475f706873..ce314a039f6 100644
--- a/models/templates/Qwen-QwQ-32B.jinja
+++ b/models/templates/Qwen-QwQ-32B.jinja
@@ -59,4 +59,5 @@
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|im_start|>assistant\n<think>\n' }}
+    {%- if not enable_thinking -%}{{- '</think>' -}}{%- endif -%}
 {%- endif %}
diff --git a/models/templates/Qwen3-Coder.jinja b/models/templates/Qwen3-Coder.jinja
index 49b0e8d0ee7..cde8c0e43db 100644
--- a/models/templates/Qwen3-Coder.jinja
+++ b/models/templates/Qwen3-Coder.jinja
@@ -29,7 +29,7 @@
     {%- endif %}
 {%- endif %}
 {%- if tools is iterable and tools | length > 0 %}
-    {{- "\n\n# Tools\n\nYou have access to the following functions:\n\n" }}
+    {{- "\n\n# Tools\n\nYou have access to the following tools:\n\n" }}
     {{- "<tools>" }}
     {%- for tool in tools %}
         {%- if tool.function is defined %}
@@ -63,7 +63,7 @@
         {{- '\n</function>' }}
     {%- endfor %}
     {{- "\n</tools>" }}
-    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {{- '\n\nIf you choose to call a tool ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nvalue_2\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: the tool calling block MUST begin with an opening <tool_call> tag and end with a closing </tool_call> tag.\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
 {%- endif %}
 {%- if system_message is defined %}
     {{- '<|im_end|>\n' }}
diff --git a/models/templates/StepFun3.5-Flash.jinja b/models/templates/StepFun3.5-Flash.jinja
new file mode 100644
index 00000000000..c09ea497dad
--- /dev/null
+++ b/models/templates/StepFun3.5-Flash.jinja
@@ -0,0 +1,80 @@
+{% macro render_content(content) %}{% if content is none %}{{- '' }}{% elif content is string %}{{- content }}{% elif content is mapping %}{{- content['value'] if 'value' in content else content['text'] }}{% elif content is iterable %}{% for item in content %}{% if item.type == 'text' %}{{- item['value'] if 'value' in item else item['text'] }}{% elif item.type == 'image' %}<im_patch>{% endif %}{% endfor %}{% endif %}{% endmacro %}
+{{bos_token}}{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- render_content(messages[0].content) + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou have access to the following functions in JSONSchema format:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson(ensure_ascii=False) }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...>\n...\n</function> block must be nested within <tool_call>\n...\n</tool_call> XML tags\n- Required parameters MUST be specified\n</IMPORTANT><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + render_content(messages[0].content) + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and render_content(message.content) is string and not(render_content(message.content).startswith('<tool_response>') and render_content(message.content).endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content) %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {%- set role_name = 'observation' if (message.role == "system" and not loop.first and message.name == 'observation') else message.role %}
+        {{- '<|im_start|>' + role_name + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = render_content(message.reasoning_content) %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- else %}
+                {%- set reasoning_content = '' %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- if tool_call.arguments is defined %}
+                    {%- set arguments = tool_call.arguments %}
+                    {%- for args_name, args_value in arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson(ensure_ascii=False) | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>tool_response\n' }}
+        {%- endif %}
+        {{- '<tool_response>' }}
+        {{- content }}
+        {{- '</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>\n' }}
+{%- endif %}
diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
index c2066bd7391..299f7a7ff12 100644
--- a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
+++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
@@ -1 +1,44 @@
-{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}
\ No newline at end of file
+{% if not add_generation_prompt is defined -%}
+  {%- set add_generation_prompt = false -%}
+{%- endif -%}
+{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') -%}
+{%- for message in messages -%}
+  {%- if message['role'] == 'system' -%}
+    {%- set ns.system_prompt = message['content'] -%}
+  {%- endif -%}
+{%- endfor -%}{{bos_token}}{{ns.system_prompt}}
+{%- for message in messages -%}
+  {%- if message['role'] == 'user' -%}
+    {%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message['content'] is none -%}
+    {%- set ns.is_tool = false -%}
+    {%- for tool in message['tool_calls']-%}
+      {%- if not ns.is_first -%}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+        {%- set ns.is_first = true -%}
+        {%- else -%}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
+      {%- endif -%}
+    {%- endfor -%}
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message['content'] is not none -%}
+    {%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}
+      {%- set ns.is_tool = false -%}
+      {%- else -%}
+      {%- set content = message['content'] -%}
+      {%- if '</think>' in content -%}
+        {%- set content = content.split('</think>')[-1] -%}
+      {%- endif -%}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}
+    {%- endif -%}
+  {%- endif -%}
+  {%- if message['role'] == 'tool' -%}
+    {%- set ns.is_tool = true -%}
+    {%- if ns.is_output_first -%}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}
+      {%- set ns.is_output_first = false -%}
+      {%- else -%}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}
+    {%- endif -%}
+  {%- endif -%}
+{%- endfor -%}
+{%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>'}}
+{%- endif -%}
+{%- if add_generation_prompt and not ns.is_tool -%}{{'<｜Assistant｜><think>\n'}}
+{%- endif %}
\ No newline at end of file
diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
index c2066bd7391..9e6ec845d39 100644
--- a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
+++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
@@ -1 +1,47 @@
-{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}
\ No newline at end of file
+{% if not add_generation_prompt is defined -%}
+  {%- set add_generation_prompt = false -%}
+{%- endif -%}
+{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') -%}
+{%- for message in messages -%}
+  {%- if message['role'] == 'system' -%}
+    {%- set ns.system_prompt = message['content'] -%}
+  {%- endif -%}
+{%- endfor -%}{{bos_token}}{{ns.system_prompt}}
+{%- for message in messages -%}
+  {%- if message['role'] == 'user' -%}
+    {%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message['tool_calls'] -%}
+    {%- set ns.is_tool = false -%}
+    {%- for tool in message['tool_calls']-%}
+      {%- if not ns.is_first -%}
+        {{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+        {%- set ns.is_first = true -%}
+      {%- else -%}
+        {{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+      {%- endif -%}
+    {%- endfor -%}
+    {{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message['content'] is not none -%}
+    {%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}
+      {%- set ns.is_tool = false -%}
+    {%- else -%}
+      {%- set content = message['content'] -%}
+      {%- if '</think>' in content -%}
+        {%- set content = content.split('</think>')[-1] -%}
+      {%- endif -%}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}
+    {%- endif -%}
+  {%- endif -%}
+  {%- if message['role'] == 'tool' -%}
+    {%- set ns.is_tool = true -%}
+    {%- if ns.is_output_first -%}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}
+      {%- set ns.is_output_first = false -%}
+      {%- else -%}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}
+    {%- endif -%}
+  {%- endif -%}
+{%- endfor -%}
+{%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>'}}
+{%- endif -%}
+{%- if add_generation_prompt and not ns.is_tool -%}{{'<｜Assistant｜><think>\n'}}{% if not enable_thinking %}{{- '</think>' -}}{% endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja
index e5656196a3f..2fd1c415b88 100644
--- a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja
+++ b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja
@@ -1,3 +1,71 @@
-{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if not thinking is defined %}{% set thinking = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '
+{% if not add_generation_prompt is defined -%}
+  {%- set add_generation_prompt = false -%}
+{%- endif -%}
+{%- if not thinking is defined -%}
+  {%- if enable_thinking is defined -%}
+    {%- set thinking = enable_thinking -%}
+    {%- else -%}
+    {%- set thinking = false -%}
+  {%- endif -%}
+{%- endif -%}
+{%- set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) -%}
+{%- for message in messages -%}
+  {%- if message['role'] == 'system' -%}
+    {%- if ns.is_first_sp -%}
+      {%- set ns.system_prompt = ns.system_prompt + message['content'] -%}
+      {%- set ns.is_first_sp = false -%}
+      {%- else -%}
+      {%- set ns.system_prompt = ns.system_prompt + '
 
-' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- if ns.is_last_user %}{{'<｜Assistant｜></think>'}}{%- endif %}{%- set ns.is_last_user = false -%}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- else %}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- if message['prefix'] is defined and message['prefix'] and thinking %}{{'<think>'}}  {%- else %}{{'</think>'}}{%- endif %}{%- endif %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{%- set content = message['content'] -%}{%- if '</think>' in content %}{%- set content = content.split('</think>', 1)[1] -%}{%- endif %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endfor -%}{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{%- if not thinking %}{{'</think>'}}{%- else %}{{'<think>'}}{%- endif %}{% endif %}
\ No newline at end of file
+' + message['content'] -%}
+    {%- endif -%}
+  {%- endif -%}
+{%- endfor -%}{{ bos_token }}{{ ns.system_prompt }}
+{%- for message in messages -%}
+  {%- if message['role'] == 'user' -%}
+    {%- set ns.is_tool = false -%}
+    {%- set ns.is_first = false -%}
+    {%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message['tool_calls'] -%}
+    {%- if ns.is_last_user -%}{{'<｜Assistant｜></think>'}}
+    {%- endif -%}
+    {%- set ns.is_last_user = false -%}
+    {%- set ns.is_first = false -%}
+    {%- set ns.is_tool = false -%}
+    {%- for tool in message['tool_calls'] -%}
+      {%- if not ns.is_first -%}
+        {%- if not message['content'] -%}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}
+          {%- else -%}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}
+        {%- endif -%}
+        {%- set ns.is_first = true -%}
+        {%- else -%}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}
+      {%- endif -%}
+    {%- endfor -%}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and not message['tool_calls'] -%}
+    {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}}
+      {%- if message['prefix'] is defined and message['prefix'] and thinking -%}{{'<think>'}}
+        {%- else -%}{{'</think>'}}
+      {%- endif -%}
+    {%- endif -%}
+    {%- set ns.is_last_user = false -%}
+    {%- if ns.is_tool -%}{{message['content'] + '<｜end▁of▁sentence｜>'}}
+      {%- set ns.is_tool = false -%}
+      {%- else -%}
+      {%- set content = message['content'] -%}
+      {%- if '</think>' in content -%}
+        {%- set content = content.split('</think>', 1)[1] -%}
+      {%- endif -%}{{content + '<｜end▁of▁sentence｜>'}}
+    {%- endif -%}
+  {%- endif -%}
+  {%- if message['role'] == 'tool' -%}
+    {%- set ns.is_last_user = false -%}
+    {%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}
+  {%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool -%}{{'<｜Assistant｜>'}}
+  {%- if not thinking -%}{{'</think>'}}
+    {%- else -%}{{'<think>'}}
+  {%- endif -%}
+{%- endif %}
\ No newline at end of file
diff --git a/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
index 9b8136df73b..b94cfd4d9bd 100644
--- a/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
+++ b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
@@ -46,7 +46,7 @@ Available functions as JSON spec:
     {%- if 'tool_calls' in message and message['tool_calls'] -%}
       {%- set tool = namespace(calls=[]) -%}
       {%- for call in message['tool_calls'] -%}
-        {%- set tool.calls = tool.calls + ['{"name": "' + call['function']['name'] + '", "arguments": ' + call['function']['arguments'] + '}'] -%}
+        {%- set tool.calls = tool.calls + ['{"name": "' + call['function']['name'] + '", "arguments": ' + call['function']['arguments']|tojson + '}'] -%}
       {%- endfor -%}
       {%- set ns.content = ns.content + ' functools[' + tool.calls | join(', ') + ']' -%}
     {%- endif -%}
diff --git a/models/templates/moonshotai-Kimi-K2.jinja b/models/templates/moonshotai-Kimi-K2.jinja
index ecb49a21085..e286d8a7b5b 100644
--- a/models/templates/moonshotai-Kimi-K2.jinja
+++ b/models/templates/moonshotai-Kimi-K2.jinja
@@ -1,43 +1,43 @@
-{%- if tools -%}
-  <|im_system|>tool_declare<|im_middle|>{{ tools | tojson }}<|im_end|>
-{%- endif -%}
-{%- for message in messages -%}
-  {%- if loop.first and messages[0]['role'] != 'system' -%}
-    <|im_system|>system<|im_middle|>You are a helpful assistant<|im_end|>
-  {%- endif -%}
-  {%- if message['role'] == 'system' -%}
-    <|im_system|>system<|im_middle|>
-  {%- elif message['role'] == 'user' -%}
-    <|im_user|>user<|im_middle|>
-  {%- elif message['role'] == 'assistant' -%}
-    <|im_assistant|>assistant<|im_middle|>
-  {%- elif message['role'] == 'tool' -%}
-    <|im_system|>tool<|im_middle|>
-  {%- endif -%}
-  {%- if message['role'] == 'assistant' and message.get('tool_calls') -%}
-    {%- if message['content'] -%}{{ message['content'] }}{%- endif -%}
-    <|tool_calls_section_begin|>
-    {%- for tool_call in message['tool_calls'] -%}
-      {%- set func_name = tool_call['function']['name'] -%}
-      {%- set formatted_id = 'functions.' + func_name + ':' + loop.index0|string -%}
-      <|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{{ tool_call['function']['arguments'] | tojson}}<|tool_call_end|>
-    {%- endfor -%}
-    <|tool_calls_section_end|>
-  {%- elif message['role'] == 'tool' -%}
-    ## Return of {{ message.tool_call_id }}\n{{ message['content'] }}
-  {%- elif message['content'] is string -%}
-    {{ message['content'] }}
-  {%- elif message['content'] is not none -%}
-    {% for content in message['content'] -%}
-      {% if content['type'] == 'image' or 'image' in content or 'image_url' in content -%}
-        <|media_start|>image<|media_content|><|media_pad|><|media_end|>
-      {% else -%}
-        {{ content['text'] }}
-      {%- endif -%}
-    {%- endfor -%}
-  {%- endif -%}
-  <|im_end|>
-{%- endfor -%}
-{%- if add_generation_prompt -%}
-  <|im_assistant|>assistant<|im_middle|>
-{%- endif -%}
+{%- if tools -%}
+  <|im_system|>tool_declare<|im_middle|>{{ tools | tojson }}<|im_end|>
+{%- endif -%}
+{%- for message in messages -%}
+  {%- if loop.first and messages[0]['role'] != 'system' -%}
+    <|im_system|>system<|im_middle|>You are a helpful assistant<|im_end|>
+  {%- endif -%}
+  {%- if message['role'] == 'system' -%}
+    <|im_system|>system<|im_middle|>
+  {%- elif message['role'] == 'user' -%}
+    <|im_user|>user<|im_middle|>
+  {%- elif message['role'] == 'assistant' -%}
+    <|im_assistant|>assistant<|im_middle|>
+  {%- elif message['role'] == 'tool' -%}
+    <|im_system|>tool<|im_middle|>
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message.get('tool_calls') -%}
+    {%- if message['content'] -%}{{ message['content'] }}{%- endif -%}
+    <|tool_calls_section_begin|>
+    {%- for tool_call in message['tool_calls'] -%}
+      {%- set func_name = tool_call['function']['name'] -%}
+      {%- set formatted_id = 'functions.' + func_name + ':' + loop.index0|string -%}
+      <|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{{ tool_call['function']['arguments'] | tojson}}<|tool_call_end|>
+    {%- endfor -%}
+    <|tool_calls_section_end|>
+  {%- elif message['role'] == 'tool' -%}
+    ## Return of {{ message.tool_call_id }}\n{{ message['content'] }}
+  {%- elif message['content'] is string -%}
+    {{ message['content'] }}
+  {%- elif message['content'] is not none -%}
+    {% for content in message['content'] -%}
+      {% if content['type'] == 'image' or 'image' in content or 'image_url' in content -%}
+        <|media_start|>image<|media_content|><|media_pad|><|media_end|>
+      {% else -%}
+        {{ content['text'] }}
+      {%- endif -%}
+    {%- endfor -%}
+  {%- endif -%}
+  <|im_end|>
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+  <|im_assistant|>assistant<|im_middle|>
+{%- endif -%}
diff --git a/models/templates/stepfun-ai-Step-3.5-Flash.jinja b/models/templates/stepfun-ai-Step-3.5-Flash.jinja
new file mode 100644
index 00000000000..c09ea497dad
--- /dev/null
+++ b/models/templates/stepfun-ai-Step-3.5-Flash.jinja
@@ -0,0 +1,80 @@
+{% macro render_content(content) %}{% if content is none %}{{- '' }}{% elif content is string %}{{- content }}{% elif content is mapping %}{{- content['value'] if 'value' in content else content['text'] }}{% elif content is iterable %}{% for item in content %}{% if item.type == 'text' %}{{- item['value'] if 'value' in item else item['text'] }}{% elif item.type == 'image' %}<im_patch>{% endif %}{% endfor %}{% endif %}{% endmacro %}
+{{bos_token}}{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- render_content(messages[0].content) + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou have access to the following functions in JSONSchema format:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson(ensure_ascii=False) }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...>\n...\n</function> block must be nested within <tool_call>\n...\n</tool_call> XML tags\n- Required parameters MUST be specified\n</IMPORTANT><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + render_content(messages[0].content) + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and render_content(message.content) is string and not(render_content(message.content).startswith('<tool_response>') and render_content(message.content).endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content) %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {%- set role_name = 'observation' if (message.role == "system" and not loop.first and message.name == 'observation') else message.role %}
+        {{- '<|im_start|>' + role_name + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = render_content(message.reasoning_content) %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- else %}
+                {%- set reasoning_content = '' %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- if tool_call.arguments is defined %}
+                    {%- set arguments = tool_call.arguments %}
+                    {%- for args_name, args_value in arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson(ensure_ascii=False) | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>tool_response\n' }}
+        {%- endif %}
+        {{- '<tool_response>' }}
+        {{- content }}
+        {{- '</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>\n' }}
+{%- endif %}
diff --git a/models/templates/unsloth-Apriel-1.5.jinja b/models/templates/unsloth-Apriel-1.5.jinja
index 29e582fbf63..1639b639015 100644
--- a/models/templates/unsloth-Apriel-1.5.jinja
+++ b/models/templates/unsloth-Apriel-1.5.jinja
@@ -86,22 +86,22 @@ Prior to generating the function calls, you should generate the reasoning for wh
             {%- set add_tool_id = false -%}
         {%- endif -%}
         {{- '<|assistant|>\n' -}}
-        {%- if message['content'] is not none and message['content']|length > 0 -%}
+        {%- if message['content'] is defined and message['content'] is not none and message['content']|length > 0 -%}
             {%- if message['content'] is not string and message['content'][0]['text'] is not none %}
                 {{- message['content'][0]['text'] }}
             {%- else %}
                 {{- message['content'] -}}
             {%- endif -%}
-        {%- elif message['chosen'] is not none and message['chosen']|length > 0 -%}
+        {%- elif message['chosen'] is defined and message['chosen'] is not none and message['chosen']|length > 0 -%}
             {{- message['chosen'][0] -}}
         {%- endif -%}
         {%- if add_thoughts and 'thought' in message and message['thought'] is not none -%}
             {{- '<thinking>' + message['thought'] + '</thinking>' -}}
         {%- endif -%}
-        {%- if message['tool_calls'] is not none and message['tool_calls']|length > 0 -%}
+        {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 -%}
             {{- '\n<tool_calls>[' -}}
             {%- for tool_call in message["tool_calls"] -%}
-                {{- '{"name": "' + tool_call['function']['name'] + '", "arguments": ' + tool_call['function']['arguments']|string -}}
+                {{- '{"name": "' + tool_call['function']['name'] + '", "arguments": ' + tool_call['function']['arguments']|tojson -}}
                 {%- if add_tool_id == true -%}
                     {{- ', "id": "' + tool_call['id'] + '"' -}}
                 {%- endif -%}
diff --git a/scripts/compare-llama-bench.py b/scripts/compare-llama-bench.py
index 9541b89eb91..14e75117c46 100755
--- a/scripts/compare-llama-bench.py
+++ b/scripts/compare-llama-bench.py
@@ -293,6 +293,10 @@ def get_commit_hexsha8(self, name: str) -> Optional[str]:
         for t in self.repo.tags:
             if t.name == name:
                 return t.commit.hexsha[:self.build_len]
+        for remote in self.repo.remotes:
+            for ref in remote.refs:
+                if ref.name == name or ref.remote_head == name:
+                    return ref.commit.hexsha[:self.build_len]
         for c in self.repo.iter_commits("--all"):
             if c.hexsha[:self.build_len] == name[:self.build_len]:
                 return c.hexsha[:self.build_len]
diff --git a/scripts/compare-logprobs.py b/scripts/compare-logprobs.py
index 63861dd9a48..ac10085b788 100644
--- a/scripts/compare-logprobs.py
+++ b/scripts/compare-logprobs.py
@@ -25,16 +25,12 @@
 """
 
 
-def generate_input_prompt(length: int) -> list[str]:
-    CORPUS = """
-    You are an advanced AI assistant capable of using tools to gather information, perform calculations, or execute tasks. Always think step by step before responding. If a user's query requires external data, computation, or actions beyond your internal knowledge, use the appropriate tools via function calls.
-
-    ### Tool Call Format:
-    When you need to use a tool, output the call in this exact XML format. Include the opening and closing tags. Do not escape arguments; they will be parsed as plain text.
-
-    You can make multiple calls in one go by placing them one after another.
-    """
-    words = [w.strip() for w in CORPUS.strip().split(" ")]
+def get_remote_corpus(url: str, length: int) -> list[str]:
+    response = requests.get(url)
+    response.raise_for_status()
+    corpus = response.text
+    words = [w.strip() for w in corpus.strip().split(" ")]
+    words = [w for w in words if "<" not in w] # make sure nothing looks like special tokens
     words = [w for w in words if len(w) > 0]  # filter out empty strings
     while len(words) < length:
         words += words
@@ -226,9 +222,9 @@ def parse_args() -> argparse.Namespace:
     )
     parser_dump.add_argument(
         "--file",
-        type=Path,
-        default=None,
-        help="File containing prompt to use instead of the default",
+        type=str,
+        default="https://raw.githubusercontent.com/ggml-org/llama.cpp/eaba92c3dcc980ebe753348855d4a5d75c069997/tools/server/README.md",
+        help="File containing prompt to use instead of the default (can also be an URL)",
     )
     parser_dump.add_argument(
         "--pattern",
@@ -259,17 +255,19 @@ def main():
 
     if args.verb == "dump":
         pattern = parse_pattern(args.pattern)
-        input_length = sum(n for _, n in pattern)
-        input_words = generate_input_prompt(input_length)
-        if args.file is not None:
-            with args.file.open("r") as f:
+        required_words = sum(n for _, n in pattern)
+        if args.file.startswith("http"):
+            input_words = get_remote_corpus(args.file, required_words)
+            logger.info(f"Fetched {len(input_words)} words from remote {args.file}")
+        else:
+            with open(args.file, "r") as f:
                 input_words = f.read().strip().split(" ")
-                if input_length < sum(n for _, n in pattern):
+                input_words = [w for w in input_words if len(w) > 0]  # filter out empty strings
+                if len(input_words) < required_words:
                     raise ValueError(
-                        f"Input file has only {input_length} words, but pattern requires at least {input_length} words."
+                        f"Input file has only {len(input_words)} words, but pattern requires at least {required_words} words."
                     )
-                input_length = len(input_words)
-        logger.info(f"Using {input_length} words")
+        logger.info(f"Using {len(input_words)} words")
         dump_logits(args.endpoint, args.output, input_words, pattern, args.api_key)
     elif args.verb == "compare":
         compare_logits(args.input1, args.input2, args.output)
diff --git a/scripts/get-wikitext-2.sh b/scripts/get-wikitext-2.sh
index 67b0b0118b4..bd03ad35263 100755
--- a/scripts/get-wikitext-2.sh
+++ b/scripts/get-wikitext-2.sh
@@ -1,11 +1,43 @@
-#!/usr/bin/env bash
+#!/bin/sh
+# vim: set ts=4 sw=4 et:
 
-wget https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
-unzip wikitext-2-raw-v1.zip
+ZIP="wikitext-2-raw-v1.zip"
+FILE="wikitext-2-raw/wiki.test.raw"
+URL="https://huggingface.co/datasets/ggml-org/ci/resolve/main/$ZIP"
 
-echo "Usage:"
-echo ""
-echo "  ./llama-perplexity -m model.gguf -f wikitext-2-raw/wiki.test.raw [other params]"
-echo ""
+die() {
+    printf "%s\n" "$@" >&2
+    exit 1
+}
 
-exit 0
+have_cmd() {
+    for cmd; do
+        command -v "$cmd" >/dev/null || return
+    done
+}
+
+dl() {
+    [ -f "$2" ] && return
+    if have_cmd wget; then
+        wget "$1" -O "$2"
+    elif have_cmd curl; then
+        curl -L "$1" -o "$2"
+    else
+        die "Please install wget or curl"
+    fi
+}
+
+have_cmd unzip || die "Please install unzip"
+
+if [ ! -f "$FILE" ]; then
+    dl "$URL" "$ZIP" || exit
+    unzip -o "$ZIP"  || exit
+    rm -f -- "$ZIP"
+fi
+
+cat <<EOF
+Usage:
+
+  llama-perplexity -m model.gguf -f $FILE [other params]
+
+EOF
diff --git a/scripts/git-bisect-run.sh b/scripts/git-bisect-run.sh
new file mode 100755
index 00000000000..cd1b8c104c4
--- /dev/null
+++ b/scripts/git-bisect-run.sh
@@ -0,0 +1,18 @@
+#!/usr/bin/env bash
+
+cmake_args=()
+llama_results_args=()
+
+for arg in "${@}"; do
+    if [[ "$arg" == -D* ]]; then
+        cmake_args+=("$arg")
+    else
+        llama_results_args+=("$arg")
+    fi
+done
+
+dir="build-bisect"
+rm -rf ${dir} > /dev/null
+cmake -B ${dir} -S . ${cmake_args} > /dev/null
+cmake --build ${dir} -t llama-results -j $(nproc) > /dev/null
+${dir}/bin/llama-results "${llama_results_args[@]}"
diff --git a/scripts/git-bisect.sh b/scripts/git-bisect.sh
new file mode 100755
index 00000000000..3279d502e11
--- /dev/null
+++ b/scripts/git-bisect.sh
@@ -0,0 +1,19 @@
+#!/usr/bin/env bash
+
+if [ $# -lt 2 ]; then
+    echo "usage: ./scripts/git-bisect.sh <commit_bad> <commit_good> [additional arguments]"
+    echo "  additional arguments: passed to CMake if they start with \"-D\", to llama-results otherwise"
+    exit 1
+fi
+
+set -e
+set -x
+
+commit_bad=$1
+commit_good=$2
+script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
+git checkout ${commit_good}
+${script_dir}/git-bisect-run.sh --output results.gguf "${@:3}"
+git bisect start ${commit_bad} ${commit_good}
+git bisect run ${script_dir}/git-bisect-run.sh --output results.gguf --check "${@:3}"
+git bisect reset
diff --git a/scripts/pr2wt.sh b/scripts/pr2wt.sh
index bd635f3b9d8..e028814c431 100755
--- a/scripts/pr2wt.sh
+++ b/scripts/pr2wt.sh
@@ -1,6 +1,6 @@
 #!/usr/bin/env bash
 
-# intialize a new worktree from a PR number:
+# initialize a new worktree from a PR number:
 #
 # - creates a new remote using the fork's clone URL
 # - creates a local branch tracking the remote branch
@@ -30,12 +30,18 @@ fi
 PR=$1
 [[ "$PR" =~ ^[0-9]+$ ]] || { echo "error: PR number must be numeric"; exit 1; }
 
+url_origin=$(git config --get remote.upstream.url 2>/dev/null) || \
 url_origin=$(git config --get remote.origin.url) || {
-    echo "error: no remote named 'origin' in this repository"
+    echo "error: no remote named 'upstream' or 'origin' in this repository"
     exit 1
 }
 
-org_repo=$(echo $url_origin | cut -d/ -f4-)
+# Extract org/repo from either https or ssh format.
+if [[ $url_origin =~ ^git@ ]]; then
+    org_repo=$(echo $url_origin | cut -d: -f2)
+else
+    org_repo=$(echo $url_origin | cut -d/ -f4-)
+fi
 org_repo=${org_repo%.git}
 
 echo "org/repo: $org_repo"
diff --git a/scripts/server-bench.py b/scripts/server-bench.py
index dbbb0939ffe..202c35a486b 100755
--- a/scripts/server-bench.py
+++ b/scripts/server-bench.py
@@ -292,6 +292,6 @@ def benchmark(
         "--n_predict_min", type=int, default=1024,
         help="Min. number of tokens to predict per prompt (supported for synthetic prompts only)")
     parser.add_argument("--seed_offset", type=int, default=0, help="Offset for determining the seeds for pseudorandom prompt/generation lengths. "
-                        "Corelations between seeds can occur when set >= 1000. Negative values mean no seed.")
+                        "Correlations between seeds can occur when set >= 1000. Negative values mean no seed.")
     args = parser.parse_args()
     benchmark(**vars(args))
diff --git a/scripts/server-test-model.py b/scripts/server-test-model.py
new file mode 100644
index 00000000000..9049d80279a
--- /dev/null
+++ b/scripts/server-test-model.py
@@ -0,0 +1,202 @@
+import argparse
+import json
+import requests
+import logging
+import sys
+
+handler = logging.StreamHandler(sys.stdout)
+handler.terminator = ""   # ← no newline
+logging.basicConfig(level=logging.INFO, format='%(message)s', handlers=[handler])
+logger = logging.getLogger("server-test-model")
+
+
+def run_query(url, messages, tools=None, stream=False, tool_choice=None):
+    payload = {
+        "messages": messages,
+        "stream": stream,
+        "max_tokens": 5000,
+    }
+    if tools:
+        payload["tools"] = tools
+    if tool_choice:
+        payload["tool_choice"] = tool_choice
+
+    try:
+        response = requests.post(url, json=payload, stream=stream)
+        response.raise_for_status()
+    except requests.exceptions.RequestException as e:
+        if e.response is not None:
+            logger.info(f"Response error: {e} for {e.response.content}\n")
+        else:
+            logger.info(f"Error connecting to server: {e}\n")
+        return None
+
+    full_content = ""
+    reasoning_content = ""
+    tool_calls = []
+
+    if stream:
+        logger.info(f"--- Streaming response (Tools: {bool(tools)}) ---\n")
+        for line in response.iter_lines():
+            if line:
+                decoded_line = line.decode("utf-8")
+                if decoded_line.startswith("data: "):
+                    data_str = decoded_line[6:]
+                    if data_str == "[DONE]":
+                        break
+                    try:
+                        data = json.loads(data_str)
+                        if "choices" in data and len(data["choices"]) > 0:
+                            delta = data["choices"][0].get("delta", {})
+
+                            # Content
+                            content_chunk = delta.get("content", "")
+                            if content_chunk:
+                                full_content += content_chunk
+                                logger.info(content_chunk)
+
+                            # Reasoning
+                            reasoning_chunk = delta.get("reasoning_content", "")
+                            if reasoning_chunk:
+                                reasoning_content += reasoning_chunk
+                                logger.info(f"\x1B[3m{reasoning_chunk}\x1B[0m")
+
+                            # Tool calls
+                            if "tool_calls" in delta:
+                                for tc in delta["tool_calls"]:
+                                    index = tc.get("index")
+                                    if index is not None:
+                                        while len(tool_calls) <= index:
+                                            # Using "function" as type default but could be flexible
+                                            tool_calls.append(
+                                                {
+                                                    "id": "",
+                                                    "type": "function",
+                                                    "function": {
+                                                        "name": "",
+                                                        "arguments": "",
+                                                    },
+                                                }
+                                            )
+
+                                        if "id" in tc:
+                                            tool_calls[index]["id"] += tc["id"]
+                                        if "function" in tc:
+                                            if "name" in tc["function"]:
+                                                tool_calls[index]["function"][
+                                                    "name"
+                                                ] += tc["function"]["name"]
+                                            if "arguments" in tc["function"]:
+                                                tool_calls[index]["function"][
+                                                    "arguments"
+                                                ] += tc["function"]["arguments"]
+
+                    except json.JSONDecodeError:
+                        logger.info(f"Failed to decode JSON: {data_str}\n")
+        logger.info("\n--- End of Stream ---\n")
+    else:
+        logger.info(f"--- Non-streaming response (Tools: {bool(tools)}) ---\n")
+        data = response.json()
+        if "choices" in data and len(data["choices"]) > 0:
+            message = data["choices"][0].get("message", {})
+            full_content = message.get("content", "")
+            reasoning_content = message.get("reasoning_content", "")
+            tool_calls = message.get("tool_calls", [])
+            logger.info(full_content)
+        logger.info("--- End of Response ---\n")
+
+    return {
+        "content": full_content,
+        "reasoning_content": reasoning_content,
+        "tool_calls": tool_calls,
+    }
+
+
+def test_chat(url, stream):
+    logger.info(f"\n=== Testing Chat (Stream={stream}) ===\n")
+    messages = [{"role": "user", "content": "What is the capital of France?"}]
+    result = run_query(url, messages, stream=stream)
+
+    if result:
+        if result["content"]:
+            logger.info("PASS: Output received.\n")
+        else:
+            logger.info("WARN: No content received (valid if strict tool call, but unexpected here).\n")
+
+        if result.get("reasoning_content"):
+            logger.info(f"INFO: Reasoning content detected ({len(result['reasoning_content'])} chars).\n")
+        else:
+            logger.info("INFO: No reasoning content detected (Standard model behavior).\n")
+    else:
+        logger.info("FAIL: No result.\n")
+
+
+def test_tool_call(url, stream):
+    logger.info(f"\n=== Testing Tool Call (Stream={stream}) ===\n")
+    messages = [
+        {
+            "role": "user",
+            "content": "What is the weather in London? Please use the get_weather tool.",
+        }
+    ]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_weather",
+                "description": "Get the current weather in a given location",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                        },
+                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                    },
+                    "required": ["location"],
+                },
+            },
+        }
+    ]
+
+    result = run_query(url, messages, tools=tools, tool_choice="auto", stream=stream)
+
+    if result:
+        tcs = result.get("tool_calls")
+        if tcs and len(tcs) > 0:
+            logger.info("PASS: Tool calls detected.")
+            for tc in tcs:
+                func = tc.get("function", {})
+                logger.info(f"  Tool: {func.get('name')}, Args: {func.get('arguments')}\n")
+        else:
+            logger.info(f"FAIL: No tool calls. Content: {result['content']}\n")
+
+        if result.get("reasoning_content"):
+            logger.info(
+                f"INFO: Reasoning content detected during tool call ({len(result['reasoning_content'])} chars).\n"
+            )
+    else:
+        logger.info("FAIL: Query failed.\n")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Test llama-server functionality.")
+    parser.add_argument("--host", default="localhost", help="Server host")
+    parser.add_argument("--port", default=8080, type=int, help="Server port")
+    args = parser.parse_args()
+
+    base_url = f"http://{args.host}:{args.port}/v1/chat/completions"
+    logger.info(f"Testing server at {base_url}\n")
+
+    # Non-streaming tests
+    test_chat(base_url, stream=False)
+    test_tool_call(base_url, stream=False)
+
+    # Streaming tests
+    test_chat(base_url, stream=True)
+    test_tool_call(base_url, stream=True)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/snapdragon/adb/run-cli.sh b/scripts/snapdragon/adb/run-cli.sh
index d19d4e920e2..dfc051b28b5 100755
--- a/scripts/snapdragon/adb/run-cli.sh
+++ b/scripts/snapdragon/adb/run-cli.sh
@@ -54,6 +54,6 @@ adb $adbserial $adbhost shell " \
     $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb \
       ./$branch/bin/llama-cli --no-mmap -m $basedir/../gguf/$model \
          --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1           \
-         --ctx-size 8192 --batch-size 128 -fa on \
-         -ngl 99 --device $device $cli_opts $@   \
+         --ctx-size 8192 --ubatch-size 256 -fa on                  \
+         -ngl 99 --device $device $cli_opts $@                     \
 "
diff --git a/scripts/snapdragon/adb/run-completion.sh b/scripts/snapdragon/adb/run-completion.sh
index da9df110a0e..d53b5887399 100755
--- a/scripts/snapdragon/adb/run-completion.sh
+++ b/scripts/snapdragon/adb/run-completion.sh
@@ -54,6 +54,6 @@ adb $adbserial $adbhost shell " \
     $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb        \
       ./$branch/bin/llama-completion --no-mmap -m $basedir/../gguf/$model \
          --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1                  \
-         --ctx-size 8192 --batch-size 128 -fa on \
-         -ngl 99 -no-cnv --device $device $cli_opts $@   \
+         --ctx-size 8192 --ubatch-size 256 -fa on                         \
+         -ngl 99 -no-cnv --device $device $cli_opts $@                    \
 "
diff --git a/scripts/snapdragon/adb/run-mtmd.sh b/scripts/snapdragon/adb/run-mtmd.sh
index fc018e72692..41d7cd44f8d 100755
--- a/scripts/snapdragon/adb/run-mtmd.sh
+++ b/scripts/snapdragon/adb/run-mtmd.sh
@@ -58,11 +58,11 @@ adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $ndev $mtmd_backend       \
-      ./$branch/bin/llama-mtmd-cli --no-mmap -m $basedir/../gguf/$model   \
-         --mmproj $basedir/../gguf/$mmproj \
-         --image $basedir/../gguf/$image \
-         --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1             \
-         --ctx-size 8192 --batch-size 128 -ctk q8_0 -ctv q8_0 -fa on \
-         -ngl 99 --device $device -v $cli_opts $@ \
+    $verbose $experimental $sched $opmask $profile $nhvx $ndev $mtmd_backend \
+      ./$branch/bin/llama-mtmd-cli --no-mmap -m $basedir/../gguf/$model      \
+         --mmproj $basedir/../gguf/$mmproj                                   \
+         --image $basedir/../gguf/$image                                     \
+         --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1                     \
+         --ctx-size 8192 --ubatch-size 256 -fa on                            \
+         -ngl 99 --device $device -v $cli_opts $@                            \
 "
diff --git a/scripts/snapdragon/windows/run-cli.ps1 b/scripts/snapdragon/windows/run-cli.ps1
index b13161aa631..5891c894a9f 100644
--- a/scripts/snapdragon/windows/run-cli.ps1
+++ b/scripts/snapdragon/windows/run-cli.ps1
@@ -46,8 +46,8 @@ if ($null -ne $env:NDEV) {
 
 $env:ADSP_LIBRARY_PATH="$basedir\lib"
 
-& "$basedir\bin\llama-completion.exe" `
-    --no-mmap -no-cnv -m $basedir\..\..\gguf\$model `
+& "$basedir\bin\llama-cli.exe" `
+    --no-mmap -m $basedir\..\..\gguf\$model `
     --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 `
-    --ctx-size 8192 --batch-size 128 -ctk q8_0 -ctv q8_0 -fa on `
+    --ctx-size 8192 --ubatch-size 128 -fa on `
     -ngl 99 --device $device $cli_opts
diff --git a/scripts/snapdragon/windows/run-completion.ps1 b/scripts/snapdragon/windows/run-completion.ps1
new file mode 100644
index 00000000000..8a48d2d7486
--- /dev/null
+++ b/scripts/snapdragon/windows/run-completion.ps1
@@ -0,0 +1,53 @@
+
+#!/usr/bin/env pwsh
+
+# Basedir on device
+$basedir=".\pkg-snapdragon"
+
+$cli_opts=$args
+
+$model="Llama-3.2-3B-Instruct-Q4_0.gguf"
+if ($null -ne $env:M) {
+    $model=$env:M
+}
+
+$device="HTP0"
+if ($null -ne $env:D) {
+    $device=$env:D
+}
+
+if ($null -ne $env:V) {
+    $env:GGML_HEXAGON_VERBOSE=$env:V
+}
+
+if ($null -ne $env:E) {
+    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
+}
+
+if ($null -ne $env:SCHED) {
+    $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
+}
+
+if ($null -ne $env:PROF) {
+    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+}
+
+if ($null -ne $env:OPMASK) {
+    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+}
+
+if ($null -ne $env:NHVX) {
+    $env:GGML_HEXAGON_NHVX=$env:NHVX
+}
+
+if ($null -ne $env:NDEV) {
+    $env:GGML_HEXAGON_NDEV=$env:NDEV
+}
+
+$env:ADSP_LIBRARY_PATH="$basedir\lib"
+
+& "$basedir\bin\llama-completion.exe" `
+    --no-mmap -m $basedir\..\..\gguf\$model `
+    --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 `
+    --ctx-size 8192 --batch-size 128 -fa on `
+    -ngl 99 -no-cnv --device $device $cli_opts
diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last
index 81e79a94707..02a096882e0 100644
--- a/scripts/sync-ggml.last
+++ b/scripts/sync-ggml.last
@@ -1 +1 @@
-a8db410a252c8c8f2d120c6f2e7133ebe032f35d
+d6754f3d0e6d0acd21c12442353c9fd2f94188e7
diff --git a/scripts/sync_vendor.py b/scripts/sync_vendor.py
index 1ff6a9a40fd..75d4a5ff61a 100755
--- a/scripts/sync_vendor.py
+++ b/scripts/sync_vendor.py
@@ -1,6 +1,11 @@
 #!/usr/bin/env python3
 
 import urllib.request
+import os
+import sys
+import subprocess
+
+HTTPLIB_VERSION = "refs/tags/v0.37.1"
 
 vendor = {
     "https://github.com/nlohmann/json/releases/latest/download/json.hpp":     "vendor/nlohmann/json.hpp",
@@ -9,11 +14,12 @@
     "https://raw.githubusercontent.com/nothings/stb/refs/heads/master/stb_image.h": "vendor/stb/stb_image.h",
 
     # not using latest tag to avoid this issue: https://github.com/ggml-org/llama.cpp/pull/17179#discussion_r2515877926
-    # "https://github.com/mackron/miniaudio/raw/refs/tags/0.11.23/miniaudio.h": "vendor/miniaudio/miniaudio.h",
-    "https://github.com/mackron/miniaudio/raw/669ed3e844524fcd883231b13095baee9f6de304/miniaudio.h": "vendor/miniaudio/miniaudio.h",
+    # "https://github.com/mackron/miniaudio/raw/refs/tags/0.11.24/miniaudio.h": "vendor/miniaudio/miniaudio.h",
+    "https://github.com/mackron/miniaudio/raw/9634bedb5b5a2ca38c1ee7108a9358a4e233f14d/miniaudio.h": "vendor/miniaudio/miniaudio.h",
 
-    "https://raw.githubusercontent.com/yhirose/cpp-httplib/refs/tags/v0.30.2/httplib.h": "vendor/cpp-httplib/httplib.h",
-    "https://raw.githubusercontent.com/yhirose/cpp-httplib/refs/tags/v0.30.2/LICENSE":   "vendor/cpp-httplib/LICENSE",
+    f"https://raw.githubusercontent.com/yhirose/cpp-httplib/{HTTPLIB_VERSION}/httplib.h": "httplib.h",
+    f"https://raw.githubusercontent.com/yhirose/cpp-httplib/{HTTPLIB_VERSION}/split.py":  "split.py",
+    f"https://raw.githubusercontent.com/yhirose/cpp-httplib/{HTTPLIB_VERSION}/LICENSE":   "vendor/cpp-httplib/LICENSE",
 
     "https://raw.githubusercontent.com/sheredom/subprocess.h/b49c56e9fe214488493021017bf3954b91c7c1f5/subprocess.h": "vendor/sheredom/subprocess.h",
 }
@@ -22,19 +28,16 @@
     print(f"downloading {url} to {filename}") # noqa: NP100
     urllib.request.urlretrieve(url, filename)
 
-    # split cpp/h files for httplib
-    # see: https://github.com/yhirose/cpp-httplib/blob/master/split.py
-    if 'httplib.h' in filename:
-        border = '// ----------------------------------------------------------------------------'
-        with open(filename, 'r') as f:
-            content = f.read()
-        header, implementation, footer = content.split(border, 2)
-        fname_cpp = filename.replace('.h', '.cpp')
-        with open(filename, 'w') as fh:
-            fh.write(header)
-            fh.write(footer)
-        with open(fname_cpp, 'w') as fc:
-            fc.write('#include "httplib.h"\n')
-            fc.write('namespace httplib {\n')
-            fc.write(implementation.replace('\ninline ', '\n'))
-            fc.write('} // namespace httplib\n')
+print("Splitting httplib.h...") # noqa: NP100
+try:
+    subprocess.check_call([
+        sys.executable, "split.py",
+        "--extension", "cpp",
+        "--out", "vendor/cpp-httplib"
+    ])
+except Exception as e:
+    print(f"Error: {e}") # noqa: NP100
+    sys.exit(1)
+finally:
+    os.remove("split.py")
+    os.remove("httplib.h")
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index fdda05d3ea4..283823fa9c8 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -57,13 +57,15 @@ add_library(llama
             models/deci.cpp
             models/deepseek.cpp
             models/deepseek2.cpp
+            models/delta-net-base.cpp
             models/dots1.cpp
             models/dream.cpp
             models/ernie4-5-moe.cpp
             models/ernie4-5.cpp
+            models/eurobert.cpp
+            models/exaone-moe.cpp
             models/exaone.cpp
             models/exaone4.cpp
-            models/exaone-moe.cpp
             models/falcon-h1.cpp
             models/falcon.cpp
             models/gemma-embedding.cpp
@@ -83,6 +85,7 @@ add_library(llama
             models/hunyuan-moe.cpp
             models/internlm2.cpp
             models/jais.cpp
+            models/jais2.cpp
             models/jamba.cpp
             models/kimi-linear.cpp
             models/lfm2.cpp
@@ -91,10 +94,12 @@ add_library(llama
             models/llama-iswa.cpp
             models/llama.cpp
             models/maincoder.cpp
+            models/mamba-base.cpp
             models/mamba.cpp
             models/mimo2-iswa.cpp
             models/minicpm3.cpp
             models/minimax-m2.cpp
+            models/mistral3.cpp
             models/modern-bert.cpp
             models/mpt.cpp
             models/nemotron-h.cpp
@@ -106,6 +111,7 @@ add_library(llama
             models/openai-moe-iswa.cpp
             models/openelm.cpp
             models/orion.cpp
+            models/paddleocr.cpp
             models/pangu-embedded.cpp
             models/phi2.cpp
             models/phi3.cpp
@@ -118,12 +124,12 @@ add_library(llama
             models/qwen2moe.cpp
             models/qwen2vl.cpp
             models/qwen3.cpp
-            models/qwen3vl.cpp
-            models/qwen3vl-moe.cpp
-            models/qwen3moe.cpp
-            models/qwen3next.cpp
             models/qwen35.cpp
             models/qwen35moe.cpp
+            models/qwen3moe.cpp
+            models/qwen3next.cpp
+            models/qwen3vl-moe.cpp
+            models/qwen3vl.cpp
             models/refact.cpp
             models/rnd1.cpp
             models/rwkv6-base.cpp
@@ -142,8 +148,6 @@ add_library(llama
             models/t5-enc.cpp
             models/wavtokenizer-dec.cpp
             models/xverse.cpp
-            models/mistral3.cpp
-            models/graph-context-mamba.cpp
             )
 
 set_target_properties(llama PROPERTIES
diff --git a/src/llama-adapter.h b/src/llama-adapter.h
index d275d25425e..aa3ab63ad75 100644
--- a/src/llama-adapter.h
+++ b/src/llama-adapter.h
@@ -39,6 +39,8 @@ struct llama_adapter_cvec {
     std::vector<ggml_tensor *> tensors; // per layer
 };
 
+using llama_adapter_cvec_ptr = std::shared_ptr<llama_adapter_cvec>;
+
 //
 // llama_adapter_lora
 //
@@ -84,3 +86,4 @@ struct llama_adapter_lora {
 };
 
 using llama_adapter_loras = std::unordered_map<llama_adapter_lora *, float>;
+using llama_adapter_loras_ptr = std::unique_ptr<llama_adapter_loras>;
diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp
index a943d40dc4b..799d16167ba 100644
--- a/src/llama-arch.cpp
+++ b/src/llama-arch.cpp
@@ -4,6 +4,7 @@
 
 #include <map>
 #include <set>
+#include <vector>
 
 static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_CLIP,             "clip"             }, // dummy, only used by llama-quantize
@@ -26,6 +27,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_NEO_BERT,         "neo-bert"         },
     { LLM_ARCH_JINA_BERT_V2,     "jina-bert-v2"     },
     { LLM_ARCH_JINA_BERT_V3,     "jina-bert-v3"     },
+    { LLM_ARCH_EUROBERT,         "eurobert"         },
     { LLM_ARCH_BLOOM,            "bloom"            },
     { LLM_ARCH_STABLELM,         "stablelm"         },
     { LLM_ARCH_QWEN,             "qwen"             },
@@ -74,10 +76,12 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_CHATGLM,          "chatglm"          },
     { LLM_ARCH_GLM4,             "glm4"             },
     { LLM_ARCH_GLM4_MOE,         "glm4moe"          },
+    { LLM_ARCH_GLM_DSA,          "glm-dsa"          },
     { LLM_ARCH_BITNET,           "bitnet"           },
     { LLM_ARCH_T5,               "t5"               },
     { LLM_ARCH_T5ENCODER,        "t5encoder"        },
     { LLM_ARCH_JAIS,             "jais"             },
+    { LLM_ARCH_JAIS2,            "jais2"            },
     { LLM_ARCH_NEMOTRON,         "nemotron"         },
     { LLM_ARCH_NEMOTRON_H,       "nemotron_h"       },
     { LLM_ARCH_NEMOTRON_H_MOE,   "nemotron_h_moe"   },
@@ -119,6 +123,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_RND1,             "rnd1"             },
     { LLM_ARCH_PANGU_EMBED,      "pangu-embedded"   },
     { LLM_ARCH_MISTRAL3,         "mistral3"         },
+    { LLM_ARCH_PADDLEOCR,        "paddleocr"        },
     { LLM_ARCH_MIMO2,            "mimo2"            },
     { LLM_ARCH_STEP35,           "step35"           },
     { LLM_ARCH_LLAMA_EMBED,      "llama-embed"      },
@@ -180,6 +185,7 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_EXPERT_GROUP_SCALE,                "%s.expert_group_scale"                },
     { LLM_KV_EXPERTS_PER_GROUP,                 "%s.experts_per_group"                 },
     { LLM_KV_MOE_EVERY_N_LAYERS,                "%s.moe_every_n_layers"                },
+    { LLM_KV_MOE_LATENT_SIZE,                   "%s.moe_latent_size"                   },
     { LLM_KV_NEXTN_PREDICT_LAYERS,              "%s.nextn_predict_layers"              },
     { LLM_KV_NUM_DEEPSTACK_LAYERS,              "%s.n_deepstack_layers"                },
     { LLM_KV_POOLING_TYPE,                      "%s.pooling_type"                      },
@@ -225,8 +231,14 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_ATTENTION_TEMPERATURE_SCALE,            "%s.attention.temperature_scale"            },
     { LLM_KV_ATTENTION_KEY_LENGTH_MLA,               "%s.attention.key_length_mla"               },
     { LLM_KV_ATTENTION_VALUE_LENGTH_MLA,             "%s.attention.value_length_mla"             },
+    { LLM_KV_ATTENTION_KEY_LENGTH_SWA,               "%s.attention.key_length_swa"               },
+    { LLM_KV_ATTENTION_VALUE_LENGTH_SWA,             "%s.attention.value_length_swa"             },
+    { LLM_KV_ATTENTION_INDEXER_HEAD_COUNT,           "%s.attention.indexer.head_count"           },
+    { LLM_KV_ATTENTION_INDEXER_KEY_LENGTH,           "%s.attention.indexer.key_length"           },
+    { LLM_KV_ATTENTION_INDEXER_TOP_K,                "%s.attention.indexer.top_k"                },
 
     { LLM_KV_ROPE_DIMENSION_COUNT,           "%s.rope.dimension_count"                 },
+    { LLM_KV_ROPE_DIMENSION_COUNT_SWA,       "%s.rope.dimension_count_swa"             },
     { LLM_KV_ROPE_DIMENSION_SECTIONS,        "%s.rope.dimension_sections"              },
     { LLM_KV_ROPE_FREQ_BASE,                 "%s.rope.freq_base"                       },
     { LLM_KV_ROPE_FREQ_BASE_SWA,             "%s.rope.freq_base_swa"                   },
@@ -342,6 +354,7 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_FFN_DOWN_EXP,                           "blk.%d.ffn_down.%d" },
     { LLM_TENSOR_FFN_UP_EXP,                             "blk.%d.ffn_up.%d" },
     { LLM_TENSOR_FFN_GATE_EXPS,                          "blk.%d.ffn_gate_exps" },
+    { LLM_TENSOR_FFN_GATE_UP_EXPS,                       "blk.%d.ffn_gate_up_exps" },
     { LLM_TENSOR_FFN_DOWN_EXPS,                          "blk.%d.ffn_down_exps" },
     { LLM_TENSOR_FFN_UP_EXPS,                            "blk.%d.ffn_up_exps" },
     { LLM_TENSOR_ATTN_POST_NORM,                         "blk.%d.post_attention_norm" },
@@ -353,6 +366,8 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_FFN_UP_SHEXP,                           "blk.%d.ffn_up_shexp" },
     { LLM_TENSOR_FFN_DOWN_SHEXP,                         "blk.%d.ffn_down_shexp" },
     { LLM_TENSOR_FFN_EXP_PROBS_B,                        "blk.%d.exp_probs_b" },
+    { LLM_TENSOR_FFN_LATENT_DOWN,                        "blk.%d.ffn_latent_down" },
+    { LLM_TENSOR_FFN_LATENT_UP,                          "blk.%d.ffn_latent_up" },
     { LLM_TENSOR_ATTN_NORM_2,                            "blk.%d.attn_norm_2" },
     { LLM_TENSOR_ATTN_QKV,                               "blk.%d.attn_qkv" },
     { LLM_TENSOR_LAYER_OUT_NORM,                         "blk.%d.layer_output_norm" },
@@ -363,6 +378,7 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_TOKEN_TYPES,                            "token_types" },
     { LLM_TENSOR_CLS,                                    "cls" },
     { LLM_TENSOR_CLS_OUT,                                "cls.output" },
+    { LLM_TENSOR_CLS_NORM,                               "cls.norm" },
     { LLM_TENSOR_ENC_OUTPUT_NORM,                        "enc.output_norm" },
     { LLM_TENSOR_FFN_GATE_INP_SHEXP,                     "blk.%d.ffn_gate_inp_shexp" },
     { LLM_TENSOR_SSM_A_NOSCAN,                           "blk.%d.ssm_a" },
@@ -516,6 +532,10 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_VISEXP_FFN_GATE,                        "blk.%d.vis_gate" },
     { LLM_TENSOR_VISEXP_FFN_DOWN,                        "blk.%d.vis_down" },
     { LLM_TENSOR_VISEXP_FFN_UP,                          "blk.%d.vis_up" },
+    { LLM_TENSOR_INDEXER_K_NORM,                         "blk.%d.indexer.k_norm" },
+    { LLM_TENSOR_INDEXER_PROJ,                           "blk.%d.indexer.proj" },
+    { LLM_TENSOR_INDEXER_ATTN_K,                         "blk.%d.indexer.attn_k" },
+    { LLM_TENSOR_INDEXER_ATTN_Q_B,                       "blk.%d.indexer.attn_q_b" },
 };
 
 static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
@@ -729,6 +749,7 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
         case LLM_ARCH_INTERNLM2:
         case LLM_ARCH_GRANITE:
         case LLM_ARCH_ERNIE4_5:
+        case LLM_ARCH_PADDLEOCR:
         case LLM_ARCH_SMOLLM3:
         case LLM_ARCH_DREAM:
         case LLM_ARCH_LLADA:
@@ -807,6 +828,20 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_CLS,
                 LLM_TENSOR_CLS_OUT,
             };
+        case LLM_ARCH_EUROBERT:
+            return {
+                LLM_TENSOR_TOKEN_EMBD,
+                LLM_TENSOR_OUTPUT_NORM,
+                LLM_TENSOR_ATTN_NORM,
+                LLM_TENSOR_ATTN_Q,
+                LLM_TENSOR_ATTN_K,
+                LLM_TENSOR_ATTN_V,
+                LLM_TENSOR_ATTN_OUT,
+                LLM_TENSOR_FFN_NORM,
+                LLM_TENSOR_FFN_GATE,
+                LLM_TENSOR_FFN_UP,
+                LLM_TENSOR_FFN_DOWN,
+            };
         case LLM_ARCH_MODERN_BERT:
             return {
                 LLM_TENSOR_TOKEN_EMBD,
@@ -820,6 +855,7 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_NORM,
                 LLM_TENSOR_CLS,
                 LLM_TENSOR_CLS_OUT,
+                LLM_TENSOR_CLS_NORM,
             };
         case LLM_ARCH_JINA_BERT_V2:
             return {
@@ -976,6 +1012,7 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_GATE_EXPS,
                 LLM_TENSOR_FFN_DOWN_EXPS,
                 LLM_TENSOR_FFN_UP_EXPS,
+                LLM_TENSOR_FFN_GATE_UP_EXPS,
                 LLM_TENSOR_FFN_GATE_INP_SHEXP,
                 LLM_TENSOR_FFN_GATE_SHEXP,
                 LLM_TENSOR_FFN_DOWN_SHEXP,
@@ -1033,6 +1070,7 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_GATE_EXPS,
                 LLM_TENSOR_FFN_DOWN_EXPS,
                 LLM_TENSOR_FFN_UP_EXPS,
+                LLM_TENSOR_FFN_GATE_UP_EXPS,
                 LLM_TENSOR_FFN_GATE_INP_SHEXP,
                 LLM_TENSOR_FFN_GATE_SHEXP,
                 LLM_TENSOR_FFN_DOWN_SHEXP,
@@ -1052,6 +1090,7 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_TOKEN_EMBD,
                 LLM_TENSOR_OUTPUT_NORM,
                 LLM_TENSOR_OUTPUT,
+                LLM_TENSOR_CLS_OUT,
                 LLM_TENSOR_ATTN_NORM,
                 LLM_TENSOR_ATTN_Q,
                 LLM_TENSOR_ATTN_Q_NORM,
@@ -1573,6 +1612,7 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_GATE_EXPS,
                 LLM_TENSOR_FFN_DOWN_EXPS,
                 LLM_TENSOR_FFN_UP_EXPS,
+                LLM_TENSOR_FFN_GATE_UP_EXPS,
                 LLM_TENSOR_FFN_GATE_INP_SHEXP,
                 LLM_TENSOR_FFN_GATE_SHEXP,
                 LLM_TENSOR_FFN_DOWN_SHEXP,
@@ -1625,6 +1665,12 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_DOWN,
                 LLM_TENSOR_ATTN_POST_NORM,
                 LLM_TENSOR_FFN_POST_NORM,
+                LLM_TENSOR_NEXTN_EH_PROJ,
+                LLM_TENSOR_NEXTN_EMBED_TOKENS,
+                LLM_TENSOR_NEXTN_ENORM,
+                LLM_TENSOR_NEXTN_HNORM,
+                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
+                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
             };
         case LLM_ARCH_GLM4_MOE:
             return {
@@ -1657,6 +1703,46 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
                 LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
             };
+        case LLM_ARCH_GLM_DSA:
+            return {
+                LLM_TENSOR_TOKEN_EMBD,
+                LLM_TENSOR_OUTPUT_NORM,
+                LLM_TENSOR_OUTPUT,
+                LLM_TENSOR_ATTN_NORM,
+                LLM_TENSOR_ATTN_Q_A_NORM,
+                LLM_TENSOR_ATTN_KV_A_NORM,
+                LLM_TENSOR_ATTN_Q,
+                LLM_TENSOR_ATTN_Q_A,
+                LLM_TENSOR_ATTN_Q_B,
+                LLM_TENSOR_ATTN_KV_A_MQA,
+                LLM_TENSOR_ATTN_KV_B,
+                LLM_TENSOR_ATTN_K_B,
+                LLM_TENSOR_ATTN_V_B,
+                LLM_TENSOR_ATTN_OUT,
+                LLM_TENSOR_FFN_NORM,
+                LLM_TENSOR_FFN_GATE,
+                LLM_TENSOR_FFN_UP,
+                LLM_TENSOR_FFN_DOWN,
+                LLM_TENSOR_FFN_GATE_INP,
+                LLM_TENSOR_FFN_GATE_EXPS,
+                LLM_TENSOR_FFN_DOWN_EXPS,
+                LLM_TENSOR_FFN_UP_EXPS,
+                LLM_TENSOR_FFN_GATE_INP_SHEXP,
+                LLM_TENSOR_FFN_GATE_SHEXP,
+                LLM_TENSOR_FFN_DOWN_SHEXP,
+                LLM_TENSOR_FFN_UP_SHEXP,
+                LLM_TENSOR_FFN_EXP_PROBS_B,
+                LLM_TENSOR_INDEXER_K_NORM,
+                LLM_TENSOR_INDEXER_PROJ,
+                LLM_TENSOR_INDEXER_ATTN_K,
+                LLM_TENSOR_INDEXER_ATTN_Q_B,
+                LLM_TENSOR_NEXTN_EH_PROJ,
+                LLM_TENSOR_NEXTN_EMBED_TOKENS,
+                LLM_TENSOR_NEXTN_ENORM,
+                LLM_TENSOR_NEXTN_HNORM,
+                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
+                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
+            };
         case LLM_ARCH_BITNET:
             return {
                 LLM_TENSOR_TOKEN_EMBD,
@@ -1735,6 +1821,20 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_GATE,
                 LLM_TENSOR_FFN_DOWN,
             };
+        case LLM_ARCH_JAIS2:
+            return {
+                LLM_TENSOR_TOKEN_EMBD,
+                LLM_TENSOR_OUTPUT_NORM,
+                LLM_TENSOR_OUTPUT,
+                LLM_TENSOR_ATTN_NORM,
+                LLM_TENSOR_ATTN_Q,
+                LLM_TENSOR_ATTN_K,
+                LLM_TENSOR_ATTN_V,
+                LLM_TENSOR_ATTN_OUT,
+                LLM_TENSOR_FFN_NORM,
+                LLM_TENSOR_FFN_UP,
+                LLM_TENSOR_FFN_DOWN,
+            };
         case LLM_ARCH_NEMOTRON_H:
             return {
                 LLM_TENSOR_TOKEN_EMBD,
@@ -1782,6 +1882,8 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
                 LLM_TENSOR_FFN_UP_EXPS,
                 LLM_TENSOR_FFN_DOWN_EXPS,
                 LLM_TENSOR_FFN_EXP_PROBS_B,
+                LLM_TENSOR_FFN_LATENT_DOWN,
+                LLM_TENSOR_FFN_LATENT_UP,
                 // MoE shared expert layer
                 LLM_TENSOR_FFN_DOWN_SHEXP,
                 LLM_TENSOR_FFN_UP_SHEXP,
@@ -2464,6 +2566,7 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_OUTPUT,                     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
     {LLM_TENSOR_CLS,                        {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
     {LLM_TENSOR_CLS_OUT,                    {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS_NORM,                   {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
     {LLM_TENSOR_DENSE_2_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
     {LLM_TENSOR_DENSE_3_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
     {LLM_TENSOR_OUTPUT_NORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
@@ -2596,6 +2699,7 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_FFN_DOWN_EXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_GATE_EXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_UP_EXPS,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
+    {LLM_TENSOR_FFN_GATE_UP_EXPS,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_DOWN_CHEXPS,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_GATE_CHEXPS,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_UP_CHEXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
@@ -2643,6 +2747,10 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_VISEXP_FFN_GATE,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
     {LLM_TENSOR_VISEXP_FFN_DOWN,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
     {LLM_TENSOR_VISEXP_FFN_UP,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_INDEXER_K_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
+    {LLM_TENSOR_INDEXER_PROJ,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_INDEXER_ATTN_K,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_INDEXER_ATTN_Q_B,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
     // NextN/MTP tensors are currently ignored (reserved for future MTP support)
     // These tensors only exist in the last layer(s) and are treated as output tensors
     {LLM_TENSOR_NEXTN_EH_PROJ,              {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
@@ -2651,6 +2759,9 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_NEXTN_HNORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
     {LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
     {LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
+    // Nemotron 3 Super
+    {LLM_TENSOR_FFN_LATENT_DOWN,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
+    {LLM_TENSOR_FFN_LATENT_UP,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
 };
 
 LLM_KV::LLM_KV(llm_arch arch, const char * suffix) : arch(arch), suffix(suffix) {}
@@ -2688,6 +2799,15 @@ std::string LLM_TN_IMPL::str() const {
     return name;
 }
 
+std::vector<llm_arch> llm_arch_all() {
+    std::vector<llm_arch> ret;
+    ret.reserve(LLM_ARCH_NAMES.size());
+    for (const auto & [arch, _] : LLM_ARCH_NAMES) {
+        ret.push_back(arch);
+    }
+    return ret;
+}
+
 const char * llm_arch_name(llm_arch arch) {
     auto it = LLM_ARCH_NAMES.find(arch);
     if (it == LLM_ARCH_NAMES.end()) {
diff --git a/src/llama-arch.h b/src/llama-arch.h
index 4f7b51e70dc..b1b1dcf1883 100644
--- a/src/llama-arch.h
+++ b/src/llama-arch.h
@@ -4,6 +4,7 @@
 
 #include <string>
 #include <set>
+#include <vector>
 
 //
 // gguf constants (sync with gguf.py)
@@ -30,6 +31,7 @@ enum llm_arch {
     LLM_ARCH_NEO_BERT,
     LLM_ARCH_JINA_BERT_V2,
     LLM_ARCH_JINA_BERT_V3,
+    LLM_ARCH_EUROBERT,
     LLM_ARCH_BLOOM,
     LLM_ARCH_STABLELM,
     LLM_ARCH_QWEN,
@@ -78,10 +80,12 @@ enum llm_arch {
     LLM_ARCH_CHATGLM,
     LLM_ARCH_GLM4,
     LLM_ARCH_GLM4_MOE,
+    LLM_ARCH_GLM_DSA,
     LLM_ARCH_BITNET,
     LLM_ARCH_T5,
     LLM_ARCH_T5ENCODER,
     LLM_ARCH_JAIS,
+    LLM_ARCH_JAIS2,
     LLM_ARCH_NEMOTRON,
     LLM_ARCH_NEMOTRON_H,
     LLM_ARCH_NEMOTRON_H_MOE,
@@ -123,6 +127,7 @@ enum llm_arch {
     LLM_ARCH_RND1,
     LLM_ARCH_PANGU_EMBED,
     LLM_ARCH_MISTRAL3,
+    LLM_ARCH_PADDLEOCR,
     LLM_ARCH_MIMO2,
     LLM_ARCH_STEP35,
     LLM_ARCH_LLAMA_EMBED,
@@ -184,6 +189,7 @@ enum llm_kv {
     LLM_KV_EXPERT_GROUP_SCALE,
     LLM_KV_EXPERTS_PER_GROUP,
     LLM_KV_MOE_EVERY_N_LAYERS,
+    LLM_KV_MOE_LATENT_SIZE,
     LLM_KV_NEXTN_PREDICT_LAYERS,
     LLM_KV_NUM_DEEPSTACK_LAYERS,
     LLM_KV_POOLING_TYPE,
@@ -229,8 +235,14 @@ enum llm_kv {
     LLM_KV_ATTENTION_TEMPERATURE_SCALE,
     LLM_KV_ATTENTION_KEY_LENGTH_MLA,
     LLM_KV_ATTENTION_VALUE_LENGTH_MLA,
+    LLM_KV_ATTENTION_KEY_LENGTH_SWA,
+    LLM_KV_ATTENTION_VALUE_LENGTH_SWA,
+    LLM_KV_ATTENTION_INDEXER_HEAD_COUNT,
+    LLM_KV_ATTENTION_INDEXER_KEY_LENGTH,
+    LLM_KV_ATTENTION_INDEXER_TOP_K,
 
     LLM_KV_ROPE_DIMENSION_COUNT,
+    LLM_KV_ROPE_DIMENSION_COUNT_SWA,
     LLM_KV_ROPE_DIMENSION_SECTIONS,
     LLM_KV_ROPE_FREQ_BASE,
     LLM_KV_ROPE_FREQ_BASE_SWA,
@@ -366,6 +378,7 @@ enum llm_tensor {
     LLM_TENSOR_FFN_DOWN_EXPS, // merged experts
     LLM_TENSOR_FFN_GATE_EXPS,
     LLM_TENSOR_FFN_UP_EXPS,
+    LLM_TENSOR_FFN_GATE_UP_EXPS,
     LLM_TENSOR_FFN_DOWN_SHEXP,
     LLM_TENSOR_FFN_GATE_SHEXP,
     LLM_TENSOR_FFN_UP_SHEXP,
@@ -373,6 +386,8 @@ enum llm_tensor {
     LLM_TENSOR_FFN_GATE_CHEXPS,
     LLM_TENSOR_FFN_UP_CHEXPS,
     LLM_TENSOR_FFN_EXP_PROBS_B,
+    LLM_TENSOR_FFN_LATENT_DOWN,
+    LLM_TENSOR_FFN_LATENT_UP,
     LLM_TENSOR_ATTN_Q_NORM,
     LLM_TENSOR_ATTN_K_NORM,
     LLM_TENSOR_LAYER_OUT_NORM,
@@ -493,6 +508,7 @@ enum llm_tensor {
     LLM_TENSOR_ENC_OUTPUT_NORM,
     LLM_TENSOR_CLS,
     LLM_TENSOR_CLS_OUT,
+    LLM_TENSOR_CLS_NORM,
     LLM_TENSOR_CONV1D,
     LLM_TENSOR_CONVNEXT_DW,
     LLM_TENSOR_CONVNEXT_NORM,
@@ -517,6 +533,10 @@ enum llm_tensor {
     LLM_TENSOR_VISEXP_FFN_GATE,
     LLM_TENSOR_VISEXP_FFN_DOWN,
     LLM_TENSOR_VISEXP_FFN_UP,
+    LLM_TENSOR_INDEXER_K_NORM,
+    LLM_TENSOR_INDEXER_PROJ,
+    LLM_TENSOR_INDEXER_ATTN_K,
+    LLM_TENSOR_INDEXER_ATTN_Q_B,
     LLM_TENSOR_NEXTN_EH_PROJ,
     LLM_TENSOR_NEXTN_EMBED_TOKENS,
     LLM_TENSOR_NEXTN_ENORM,
@@ -595,6 +615,8 @@ struct llm_tensor_info {
     ggml_op op;
 };
 
+std::vector<llm_arch> llm_arch_all();
+
 const char * llm_arch_name(llm_arch arch);
 
 llm_arch llm_arch_from_string(const std::string & name);
diff --git a/src/llama-batch.cpp b/src/llama-batch.cpp
index 386fab04ac9..6bf76939cdd 100644
--- a/src/llama-batch.cpp
+++ b/src/llama-batch.cpp
@@ -394,11 +394,13 @@ llama_ubatch llama_batch_allocr::ubatch_reserve(uint32_t n_seq_tokens, uint32_t
     clear();
     split_reset();
 
+    const int64_t n_pos_all = (int64_t) n_tokens*n_pos_per_embd;
+
     auto udata = std::make_shared<llama_ubatch::data_t>();
 
     udata->token     .resize(n_tokens);
     udata->embd      .clear();
-    udata->pos       .resize(n_tokens);
+    udata->pos       .resize(n_pos_all);
     udata->n_seq_id  .resize(n_tokens);
     udata->seq_id    .resize(n_tokens);
     udata->seq_id_unq.resize(0);
diff --git a/src/llama-context.cpp b/src/llama-context.cpp
index 6b43ca19267..1f7a52d7895 100644
--- a/src/llama-context.cpp
+++ b/src/llama-context.cpp
@@ -7,6 +7,7 @@
 #include "llama-memory.h"
 #include "llama-mmap.h"
 #include "llama-model.h"
+#include "llama-ext.h"
 
 #include <cinttypes>
 #include <cmath>
@@ -22,6 +23,8 @@ llama_context::llama_context(
         const llama_model & model,
               llama_context_params params) :
     model(model),
+    cvec(std::make_unique<llama_adapter_cvec>()),
+    loras(std::make_unique<llama_adapter_loras>()),
     balloc(std::make_unique<llama_batch_allocr>(model.hparams.n_pos_per_embd())) {
     // TODO warning when creating llama_context with awkward ctx size that is not a power of 2,
     //     may need to be backend-dependent
@@ -148,6 +151,10 @@ llama_context::llama_context(
     cparams.flash_attn = params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED;
     cparams.auto_fa    = params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO;
 
+    cparams.fused_gdn_ar = true;
+    cparams.fused_gdn_ch = true;
+    cparams.auto_fgdn    = true;
+
     // with causal attention, the batch size is limited by the context size
     cparams.n_batch = cparams.causal_attn ? std::min(cparams.n_ctx, params.n_batch) : params.n_batch;
 
@@ -156,7 +163,7 @@ llama_context::llama_context(
     cparams.op_offload = params.op_offload;
     cparams.kv_unified = params.kv_unified;
 
-    // intialized later
+    // initialized later
     cparams.pipeline_parallel = false;
 
     {
@@ -335,6 +342,14 @@ llama_context::llama_context(
 
         if (cparams.pipeline_parallel) {
             LLAMA_LOG_INFO("%s: pipeline parallelism enabled\n", __func__);
+
+            if (!graph_reuse_disable) {
+                // TODO: figure out a way to make graph reuse work with pipeline parallelism
+                // ref: https://github.com/ggml-org/llama.cpp/pull/20463
+                LLAMA_LOG_WARN("%s: graph reuse is currently not compatible with pipeline parallelism - disabling\n", __func__);
+
+                graph_reuse_disable = true;
+            }
         }
 
         sched_reserve();
@@ -420,7 +435,7 @@ void llama_context::sched_reserve() {
     if (cparams.auto_fa) {
         auto * gf = graph_reserve(1, n_seqs, n_outputs, mctx.get(), true);
         if (!gf) {
-            throw std::runtime_error("failed to split graph for Flash Attention check");
+            throw std::runtime_error("failed to reserve graph for Flash Attention check");
         }
 
         const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FATTN) + 1;
@@ -430,8 +445,7 @@ void llama_context::sched_reserve() {
             if (n->op != GGML_OP_FLASH_ATTN_EXT) {
                 continue;
             }
-            ggml_backend_dev_t device_fa = ggml_backend_get_device(
-                    ggml_backend_sched_get_tensor_backend(sched.get(), n));
+            ggml_backend_dev_t device_fa = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n));
 
             // TODO: instead of the tensor names, use a map to keep track of which (FA) tensors belong to which layer
             GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FATTN "-", prefix_len) == 0);
@@ -446,6 +460,7 @@ void llama_context::sched_reserve() {
                 break;
             }
         }
+
         if (fa_device_mismatch) {
             cparams.flash_attn = false;
             LLAMA_LOG_WARN("%s: Flash Attention was auto, set to disabled\n", __func__);
@@ -457,6 +472,88 @@ void llama_context::sched_reserve() {
         cparams.auto_fa = false;
     }
 
+    if (cparams.auto_fgdn) {
+        LLAMA_LOG_INFO("%s: resolving fused Gated Delta Net support:\n", __func__);
+
+        if (cparams.fused_gdn_ar) {
+            auto * gf = graph_reserve(1, n_seqs, n_outputs, mctx.get(), true);
+            if (!gf) {
+                throw std::runtime_error("failed to reserve graph for fused Gated Delta Net check (autoregressive)");
+            }
+
+            const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FGDN_AR) + 1;
+            bool gdn_device_mismatch = false;
+            for (int i = 0; i < ggml_graph_n_nodes(gf); i++) {
+                ggml_tensor * n = ggml_graph_node(gf, i);
+                if (n->op != GGML_OP_GATED_DELTA_NET) {
+                    continue;
+                }
+                ggml_backend_dev_t device_gdn = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n));
+
+                GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FGDN_AR "-", prefix_len) == 0);
+                const int il = std::stoi(n->name + prefix_len);
+                ggml_backend_dev_t device_kv = model.dev_layer(il);
+                if (device_gdn != device_kv) {
+                    LLAMA_LOG_WARN("%s: layer %d is assigned to device %s but the fused Gated Delta Net tensor "
+                            "is assigned to device %s (usually due to missing support)\n",
+                            __func__, il, ggml_backend_dev_name(device_kv), ggml_backend_dev_name(device_gdn));
+                    gdn_device_mismatch = true;
+                    break;
+                }
+            }
+
+            if (gdn_device_mismatch) {
+                cparams.fused_gdn_ar = false;
+                LLAMA_LOG_WARN("%s: fused Gated Delta Net (autoregressive) not supported, set to disabled\n", __func__);
+            } else {
+                LLAMA_LOG_INFO("%s: fused Gated Delta Net (autoregressive) enabled\n", __func__);
+            }
+        }
+
+        if (cparams.fused_gdn_ch) {
+            // more than one token in the batch per sequence in order to take the chunked path
+            // note: n_outputs must match n_tokens for embedding models with mean/rank pooling,
+            // because build_pooling creates inp_mean with shape [n_tokens, n_seqs] and multiplies
+            // it with t_embd which is reduced to [n_outputs, ...] via out_ids. if n_outputs != n_tokens,
+            // the ggml_mul_mat assertion fails. this matches the pp reservation below (line ~553).
+            const uint32_t n_tokens_ch = 16*n_seqs;
+            auto * gf = graph_reserve(n_tokens_ch, n_seqs, n_tokens_ch, mctx.get(), true);
+            if (!gf) {
+                throw std::runtime_error("failed to reserve graph for fused Gated Delta Net check (chunked)");
+            }
+
+            const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FGDN_CH) + 1;
+            bool gdn_device_mismatch = false;
+            for (int i = 0; i < ggml_graph_n_nodes(gf); i++) {
+                ggml_tensor * n = ggml_graph_node(gf, i);
+                if (n->op != GGML_OP_GATED_DELTA_NET) {
+                    continue;
+                }
+                ggml_backend_dev_t device_gdn = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n));
+
+                GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FGDN_CH "-", prefix_len) == 0);
+                const int il = std::stoi(n->name + prefix_len);
+                ggml_backend_dev_t device_kv = model.dev_layer(il);
+                if (device_gdn != device_kv) {
+                    LLAMA_LOG_WARN("%s: layer %d is assigned to device %s but the fused Gated Delta Net tensor "
+                            "is assigned to device %s (usually due to missing support)\n",
+                            __func__, il, ggml_backend_dev_name(device_kv), ggml_backend_dev_name(device_gdn));
+                    gdn_device_mismatch = true;
+                    break;
+                }
+            }
+
+            if (gdn_device_mismatch) {
+                cparams.fused_gdn_ch = false;
+                LLAMA_LOG_WARN("%s: fused Gated Delta Net (chunked) not supported, set to disabled\n", __func__);
+            } else {
+                LLAMA_LOG_INFO("%s: fused Gated Delta Net (chunked) enabled\n", __func__);
+            }
+        }
+
+        cparams.auto_fgdn = false;
+    }
+
     // reserve worst-case graph
     int n_splits_pp = -1;
     int n_nodes_pp  = -1;
@@ -710,8 +807,6 @@ int64_t llama_context::output_resolve_row(int32_t i) const {
 }
 
 float * llama_context::get_logits_ith(int32_t i) {
-    int64_t j = -1;
-
     output_reorder();
 
     try {
@@ -719,26 +814,7 @@ float * llama_context::get_logits_ith(int32_t i) {
             throw std::runtime_error("no logits");
         }
 
-        // TODO: use output_resolve_row()
-        if (i < 0) {
-            j = n_outputs + i;
-            if (j < 0) {
-                throw std::runtime_error(format("negative index out of range [0, %d)", n_outputs));
-            }
-        } else if ((size_t) i >= output_ids.size()) {
-            throw std::runtime_error(format("out of range [0, %zu)", output_ids.size()));
-        } else {
-            j = output_ids[i];
-        }
-
-        if (j < 0) {
-            throw std::runtime_error(format("batch.logits[%d] != true", i));
-        }
-        if (j >= n_outputs) {
-            // This should not happen
-            throw std::runtime_error(format("corrupt output buffer (j=%" PRId64 ", n_outputs=%d)", j, n_outputs));
-        }
-
+        const int64_t j = output_resolve_row(i);
         return logits.data + j*model.vocab.n_tokens();
     } catch (const std::exception & err) {
         LLAMA_LOG_ERROR("%s: invalid logits id %d, reason: %s\n", __func__, i, err.what());
@@ -761,8 +837,6 @@ llama_token * llama_context::get_sampled_tokens()  const{
 }
 
 float * llama_context::get_embeddings_ith(int32_t i) {
-    int64_t j = -1;
-
     output_reorder();
 
     try {
@@ -770,26 +844,7 @@ float * llama_context::get_embeddings_ith(int32_t i) {
             throw std::runtime_error("no embeddings");
         }
 
-        // TODO: use output_resolve_row()
-        if (i < 0) {
-            j = n_outputs + i;
-            if (j < 0) {
-                throw std::runtime_error(format("negative index out of range [0, %d)", n_outputs));
-            }
-        } else if ((size_t) i >= output_ids.size()) {
-            throw std::runtime_error(format("out of range [0, %zu)", output_ids.size()));
-        } else {
-            j = output_ids[i];
-        }
-
-        if (j < 0) {
-            throw std::runtime_error(format("batch.logits[%d] != true", i));
-        }
-        if (j >= n_outputs) {
-            // This should not happen
-            throw std::runtime_error(format("corrupt output buffer (j=%" PRId64 ", n_outputs=%d)", j, n_outputs));
-        }
-
+        const int64_t j = output_resolve_row(i);
         const uint32_t n_embd_out = model.hparams.n_embd_out();
         return embd.data + j*n_embd_out;
     } catch (const std::exception & err) {
@@ -878,6 +933,7 @@ const llama_token * llama_context::get_sampled_candidates_ith(int32_t idx) {
         }
     } catch (const std::exception & err) {
         // fallback to full vocab list
+        GGML_UNUSED(err);
     }
 
     return sampling.token_ids_full_vocab.data();
@@ -1057,51 +1113,51 @@ bool llama_context::set_sampler(llama_seq_id seq_id, llama_sampler * sampler) {
     return true;
 }
 
-void llama_context::set_adapter_lora(
-            llama_adapter_lora * adapter,
-            float scale) {
-    LLAMA_LOG_DEBUG("%s: adapter = %p, scale = %f\n", __func__, (void *) adapter, scale);
+void llama_context::set_adapters_lora(llama_adapter_lora ** adapters, size_t n_adapters, float * scales) {
+    LLAMA_LOG_DEBUG("%s: adapters = %p\n", __func__, (void *) adapters);
 
-    if (auto it = loras.find(adapter); it != loras.end()) {
-        if (it->second == scale) {
-            return;
-        }
+    if (adapters_lora_are_same(adapters, n_adapters, scales)) {
+        return;
     }
 
-    loras[adapter] = scale;
+    loras.reset(new llama_adapter_loras());
+
+    for (size_t i = 0; i < n_adapters; i ++) {
+        if (scales[i] != 0.0f) {
+            loras->insert({adapters[i], scales[i]});
+        }
+    }
 
     sched_need_reserve = true;
 }
 
-bool llama_context::rm_adapter_lora(
-            llama_adapter_lora * adapter) {
-    LLAMA_LOG_DEBUG("%s: adapter = %p\n", __func__, (void *) adapter);
+bool llama_context::adapters_lora_are_same(llama_adapter_lora ** adapters, size_t n_adapters, float * scales) {
+    LLAMA_LOG_DEBUG("%s: adapters = %p\n", __func__, (void *) adapters);
 
-    auto it = loras.find(adapter);
-    if (it != loras.end()) {
-        loras.erase(it);
+    // Adapters with a zero scale are never added to `loras`, so also ignore them for the comparison.
+    size_t n_non_zero = 0;
 
-        sched_need_reserve = true;
-
-        return true;
-    }
-
-    return false;
-}
+    for (size_t i = 0; i < n_adapters; i ++) {
+        if (scales[i] == 0.0f) {
+            continue;
+        }
+        n_non_zero++;
 
-void llama_context::clear_adapter_lora() {
-    LLAMA_LOG_DEBUG("%s: call\n", __func__);
+        auto it = loras->find(adapters[i]);
 
-    if (loras.empty()) {
-        return;
+        if (it == loras->end() || it->second != scales[i]) {
+            return false;
+        }
     }
 
-    loras.clear();
+    if (n_non_zero != loras->size()) {
+        return false;
+    }
 
-    sched_need_reserve = true;
+    return true;
 }
 
-bool llama_context::apply_adapter_cvec(
+bool llama_context::set_adapter_cvec(
             const float * data,
                  size_t   len,
                 int32_t   n_embd,
@@ -1111,7 +1167,7 @@ bool llama_context::apply_adapter_cvec(
 
     // TODO: should we reserve?
 
-    return cvec.apply(model, data, len, n_embd, il_start, il_end);
+    return cvec->apply(model, data, len, n_embd, il_start, il_end);
 }
 
 llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, llm_graph_type gtype, llama_memory_context_i * mctx, ggml_status & ret) {
@@ -1161,6 +1217,7 @@ llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, ll
     {
         //const auto t_start_us = ggml_time_us();
 
+        // FIXME this call causes a crash if any model inputs were not used in the graph and were therefore not allocated
         res->set_inputs(&ubatch);
 
         //LLAMA_LOG_INFO("graph set inputs time: %.3f ms\n", (ggml_time_us() - t_start_us)/1000.0);
@@ -1817,7 +1874,6 @@ int llama_context::decode(const llama_batch & batch_inp) {
 //
 
 uint32_t llama_context::output_reserve(int32_t n_outputs) {
-
     const auto & hparams = model.hparams;
     const auto & vocab   = model.vocab;
 
@@ -1901,11 +1957,6 @@ uint32_t llama_context::output_reserve(int32_t n_outputs) {
     embd = has_embd ? buffer_view<float>{(float *) (base + offset), embd.size} : buffer_view<float>{nullptr, 0};
     offset += embd.size * sizeof(float);
 
-    sampling.logits     = {nullptr, 0};
-    sampling.probs      = {nullptr, 0};
-    sampling.sampled    = {nullptr, 0};
-    sampling.candidates = {nullptr, 0};
-
     if (has_sampling) {
         sampling.logits = {(float *) (base + offset), (size_t)(n_vocab*n_outputs_max)};
         offset += sampling.logits.size * sizeof(float);
@@ -1931,6 +1982,15 @@ uint32_t llama_context::output_reserve(int32_t n_outputs) {
         std::fill(sampling.candidates_count.begin(), sampling.candidates_count.end(), 0);
 
         std::fill_n(sampling.sampled.data, sampling.sampled.size, LLAMA_TOKEN_NULL);
+    } else {
+        sampling.logits     = {nullptr, 0};
+        sampling.probs      = {nullptr, 0};
+        sampling.sampled    = {nullptr, 0};
+        sampling.candidates = {nullptr, 0};
+
+        sampling.logits_count.clear();
+        sampling.probs_count.clear();
+        sampling.candidates_count.clear();
     }
 
     // set all ids as invalid (negative)
@@ -1961,37 +2021,30 @@ void llama_context::output_reorder() {
             }
         }
 
-        if (sampling.logits.has_data()) {
+        if (!sampling.samplers.empty()) {
+            assert(sampling.logits.size > 0);
+            assert(sampling.probs.size > 0);
+            assert(sampling.candidates.size > 0);
+            assert(sampling.sampled.size > 0);
+            assert(sampling.logits_count.size() > 0);
+            assert(sampling.probs_count.size() > 0);
+            assert(sampling.candidates_count.size() > 0);
+
             for (uint64_t k = 0; k < n_vocab; ++k) {
                 std::swap(sampling.logits.data[i0*n_vocab + k], sampling.logits.data[i1*n_vocab + k]);
             }
-        }
 
-        if (sampling.probs.has_data()) {
             for (uint64_t k = 0; k < n_vocab; ++k) {
                 std::swap(sampling.probs.data[i0*n_vocab + k], sampling.probs.data[i1*n_vocab + k]);
             }
-        }
 
-        if (sampling.candidates.has_data()) {
             for (uint64_t k = 0; k < n_vocab; ++k) {
                 std::swap(sampling.candidates.data[i0*n_vocab + k], sampling.candidates.data[i1*n_vocab + k]);
             }
-        }
-
-        if (sampling.sampled.has_data()) {
-            std::swap(sampling.sampled.data[i0], sampling.sampled.data[i1]);
-        }
 
-        if (!sampling.logits_count.empty()) {
-            std::swap(sampling.logits_count[i0], sampling.logits_count[i1]);
-        }
-
-        if (!sampling.probs_count.empty()) {
-            std::swap(sampling.probs_count[i0], sampling.probs_count[i1]);
-        }
-
-        if (!sampling.candidates_count.empty()) {
+            std::swap(sampling.sampled.data[i0],     sampling.sampled.data[i1]);
+            std::swap(sampling.logits_count[i0],     sampling.logits_count[i1]);
+            std::swap(sampling.probs_count[i0],      sampling.probs_count[i1]);
             std::swap(sampling.candidates_count[i0], sampling.candidates_count[i1]);
         }
     }
@@ -2032,7 +2085,7 @@ ggml_cgraph * llama_context::graph_reserve(
 
     ggml_backend_sched_reset(sched.get());
 
-    // when the scheduler is reset, we cannnot reuse the old graph, so we reset the previous graph result to prevent that
+    // when the scheduler is reset, we cannot reuse the old graph, so we reset the previous graph result to prevent that
     gf_res_prev->reset();
 
     // store the n_outputs as it is, and restore it afterwards
@@ -2092,8 +2145,8 @@ llm_graph_params llama_context::graph_params(
         /*.gtype       =*/ gtype,
         /*.sched       =*/ sched.get(),
         /*.backend_cpu =*/ backend_cpu,
-        /*.cvec        =*/ &cvec,
-        /*.loras       =*/ &loras,
+        /*.cvec        =*/ cvec.get(),
+        /*.loras       =*/ loras.get(),
         /*.mctx        =*/ mctx,
         /*.cross       =*/ &cross,
         /*.samplers    =*/ sampling.samplers,
@@ -2491,64 +2544,6 @@ size_t llama_context::state_write_data(llama_io_write_i & io) {
         // TODO: add more model-specific info which should prevent loading the session file if not identical
     }
 
-    // write output ids
-    {
-        LLAMA_LOG_DEBUG("%s: - writing output ids\n", __func__);
-
-        const auto n_outputs    = this->n_outputs;
-        const auto & output_ids = this->output_ids;
-
-        std::vector<int32_t> w_output_pos;
-
-        w_output_pos.resize(n_outputs);
-
-        // build a more compact representation of the output ids
-        for (size_t i = 0; i < n_batch(); ++i) {
-            // map an output id to a position in the batch
-            int64_t pos = output_ids[i];
-            if (pos >= 0) {
-                GGML_ASSERT(pos < n_outputs);
-                w_output_pos[pos] = i;
-            }
-        }
-
-        io.write(&n_outputs, sizeof(n_outputs));
-
-        if (n_outputs) {
-            io.write(w_output_pos.data(), n_outputs * sizeof(int32_t));
-        }
-    }
-
-    // [TAG_CONTEXT_STATE_LOGITS]
-    // write logits
-    {
-        LLAMA_LOG_DEBUG("%s: - writing logits\n", __func__);
-
-        const uint64_t logits_size = std::min((uint64_t) this->logits.size, (uint64_t) n_outputs * model.vocab.n_tokens());
-
-        io.write(&logits_size, sizeof(logits_size));
-
-        if (logits_size) {
-            io.write(logits.data, logits_size * sizeof(float));
-        }
-    }
-
-    // write embeddings
-    {
-        LLAMA_LOG_DEBUG("%s: - writing embeddings\n", __func__);
-
-        const uint64_t embd_size = std::min((uint64_t) this->embd.size, (uint64_t) n_outputs * model.hparams.n_embd);
-
-        io.write(&embd_size, sizeof(embd_size));
-
-        if (embd_size) {
-            io.write(embd.data, embd_size * sizeof(float));
-        }
-    }
-
-    // TODO: handle sampling buffers and samplers state ?
-    //       https://github.com/ggml-org/llama.cpp/pull/17004
-
     if (memory != nullptr) {
         LLAMA_LOG_DEBUG("%s: - writing memory module\n", __func__);
         memory->state_write(io);
@@ -2574,70 +2569,6 @@ size_t llama_context::state_read_data(llama_io_read_i & io) {
         // TODO: add more info which needs to be identical but which is not verified otherwise
     }
 
-    // read output ids
-    {
-        LLAMA_LOG_DEBUG("%s: - reading output ids\n", __func__);
-
-        auto n_outputs = this->n_outputs;
-        io.read_to(&n_outputs, sizeof(n_outputs));
-
-        if (n_outputs > output_reserve(n_outputs)) {
-            throw std::runtime_error("could not reserve outputs");
-        }
-
-        std::vector<int32_t> output_pos;
-
-        if (n_outputs) {
-            output_pos.resize(n_outputs);
-            io.read_to(output_pos.data(), n_outputs * sizeof(int32_t));
-
-            for (int32_t i = 0; i < (int32_t) output_pos.size(); ++i) {
-                int32_t id = output_pos[i];
-                if ((uint32_t) id >= n_batch()) {
-                    throw std::runtime_error(format("invalid output id, %d does not fit in batch size of %u", id, n_batch()));
-                }
-                this->output_ids[id] = i;
-            }
-
-            this->n_outputs = n_outputs;
-        }
-    }
-
-    // read logits
-    {
-        LLAMA_LOG_DEBUG("%s: - reading logits\n", __func__);
-
-        uint64_t logits_size;
-        io.read_to(&logits_size, sizeof(logits_size));
-
-        if (this->logits.size < logits_size) {
-            throw std::runtime_error("logits buffer too small");
-        }
-
-        if (logits_size) {
-            io.read_to(this->logits.data, logits_size * sizeof(float));
-        }
-    }
-
-    // read embeddings
-    {
-        LLAMA_LOG_DEBUG("%s: - reading embeddings\n", __func__);
-
-        uint64_t embd_size;
-        io.read_to(&embd_size, sizeof(embd_size));
-
-        if (this->embd.size < embd_size) {
-            throw std::runtime_error("embeddings buffer too small");
-        }
-
-        if (embd_size) {
-            io.read_to(this->embd.data, embd_size * sizeof(float));
-        }
-    }
-
-    // TODO: handle sampling buffers and samplers state ?
-    //       https://github.com/ggml-org/llama.cpp/pull/17004
-
     if (memory) {
         LLAMA_LOG_DEBUG("%s: - reading memory module\n", __func__);
 
@@ -2770,6 +2701,7 @@ void llama_context::opt_init(struct llama_model * model, struct llama_opt_params
     llama_set_param(model->cls_b,           param_filter, param_filter_ud);
     llama_set_param(model->cls_out,         param_filter, param_filter_ud);
     llama_set_param(model->cls_out_b,       param_filter, param_filter_ud);
+    llama_set_param(model->cls_norm,        param_filter, param_filter_ud);
 
     for (struct llama_layer & layer : model->layers) {
         for (size_t i = 0; i < sizeof(layer)/sizeof(struct ggml_tensor *); ++i) {
@@ -3003,19 +2935,23 @@ llama_context * llama_init_from_model(
 
     if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_k)) {
         const uint32_t blck_size = ggml_blck_size(params.type_k);
-        if (model->hparams.n_embd_head_k % blck_size != 0) {
-            LLAMA_LOG_ERROR("%s: K cache type %s with block size %u does not divide n_embd_head_k=%u\n",
-                __func__, ggml_type_name(params.type_k), blck_size, model->hparams.n_embd_head_k);
-            return nullptr;
+        for (uint32_t il = 0; il < model->hparams.n_layer; ++il) {
+            if (model->hparams.n_embd_head_k(il) % blck_size != 0) {
+                LLAMA_LOG_ERROR("%s: K cache type %s with block size %u does not divide n_embd_head_k=%u\n",
+                    __func__, ggml_type_name(params.type_k), blck_size, model->hparams.n_embd_head_k(il));
+                return nullptr;
+            }
         }
     }
 
     if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_v)) {
         const uint32_t blck_size = ggml_blck_size(params.type_v);
-        if (model->hparams.n_embd_head_v % blck_size != 0) {
-            LLAMA_LOG_ERROR("%s: V cache type %s with block size %u does not divide n_embd_head_k=%u\n",
-                __func__, ggml_type_name(params.type_v), blck_size, model->hparams.n_embd_head_v);
-            return nullptr;
+        for (uint32_t il = 0; il < model->hparams.n_layer; ++il) {
+            if (model->hparams.n_embd_head_v(il) % blck_size != 0) {
+                LLAMA_LOG_ERROR("%s: V cache type %s with block size %u does not divide n_embd_head_v=%u\n",
+                    __func__, ggml_type_name(params.type_v), blck_size, model->hparams.n_embd_head_v(il));
+                return nullptr;
+            }
         }
     }
 
@@ -3207,37 +3143,43 @@ uint32_t llama_get_sampled_probs_count_ith(llama_context * ctx, int32_t i) {
     return static_cast<uint32_t>(ctx->get_sampled_probs_count(i));
 }
 
-// llama adapter API
-
-int32_t llama_set_adapter_lora(
-            llama_context * ctx,
-            llama_adapter_lora * adapter,
-            float scale) {
-    ctx->set_adapter_lora(adapter, scale);
-
-    return 0;
+struct ggml_cgraph * llama_graph_reserve(
+        struct llama_context * ctx,
+        uint32_t n_tokens,
+        uint32_t n_seqs,
+        uint32_t n_outputs) {
+    auto * memory = ctx->get_memory();
+    llama_memory_context_ptr mctx;
+    if (memory) {
+        mctx = memory->init_full();
+    }
+    return ctx->graph_reserve(n_tokens, n_seqs, n_outputs, mctx.get());
 }
 
-int32_t llama_rm_adapter_lora(
+// llama adapter API
+
+int32_t llama_set_adapters_lora(
             llama_context * ctx,
-            llama_adapter_lora * adapter) {
-    bool res = ctx->rm_adapter_lora(adapter);
+            llama_adapter_lora ** adapters,
+            size_t n_adapters,
+            float * scales) {
+    if (adapters == nullptr || scales == nullptr) {
+        GGML_ASSERT(n_adapters == 0 && "invalid llama_set_adapters_lora call");
+    }
 
-    return res ? 0 : -1;
-}
+    ctx->set_adapters_lora(adapters, n_adapters, scales);
 
-void llama_clear_adapter_lora(llama_context * ctx) {
-    ctx->clear_adapter_lora();
+    return 0;
 }
 
-int32_t llama_apply_adapter_cvec(
+int32_t llama_set_adapter_cvec(
         llama_context * ctx,
-                 const float * data,
-                      size_t   len,
-                     int32_t   n_embd,
-                     int32_t   il_start,
-                     int32_t   il_end) {
-    bool res = ctx->apply_adapter_cvec(data, len, n_embd, il_start, il_end);
+          const float * data,
+               size_t   len,
+              int32_t   n_embd,
+              int32_t   il_start,
+              int32_t   il_end) {
+    bool res = ctx->set_adapter_cvec(data, len, n_embd, il_start, il_end);
 
     return res ? 0 : -1;
 }
diff --git a/src/llama-context.h b/src/llama-context.h
index d9951175744..e0d0085c1c3 100644
--- a/src/llama-context.h
+++ b/src/llama-context.h
@@ -105,16 +105,11 @@ struct llama_context {
     void set_causal_attn(bool value);
     void set_warmup(bool value);
 
-    void set_adapter_lora(
-            llama_adapter_lora * adapter,
-            float scale);
+    void set_adapters_lora(llama_adapter_lora ** adapters, size_t n_adapters, float * scales);
 
-    bool rm_adapter_lora(
-            llama_adapter_lora * adapter);
+    bool adapters_lora_are_same(llama_adapter_lora ** adapters, size_t n_adapters, float * scales);
 
-    void clear_adapter_lora();
-
-    bool apply_adapter_cvec(
+    bool set_adapter_cvec(
             const float * data,
                  size_t   len,
                 int32_t   n_embd,
@@ -261,33 +256,36 @@ struct llama_context {
 
     const llama_model & model;
 
-    llama_cparams       cparams;
-    llama_adapter_cvec  cvec;
-    llama_adapter_loras loras;
+    llama_cparams cparams;
+
+    llama_adapter_cvec_ptr  cvec;
+    llama_adapter_loras_ptr loras;
 
     llama_cross cross; // TODO: tmp for handling cross-attention - need something better probably
 
     std::unique_ptr<llama_memory_i> memory;
 
     // decode output (2-dimensional array: [n_outputs][n_vocab])
-    struct buffer_view<float>  logits = {nullptr, 0};
+    buffer_view<float> logits = {nullptr, 0};
 
     // embeddings output (2-dimensional array: [n_outputs][n_embd])
     // populated only when pooling_type == LLAMA_POOLING_TYPE_NONE
-    struct buffer_view<float>  embd = {nullptr, 0};
+    buffer_view<float> embd = {nullptr, 0};
 
     struct sampling_info {
+        // !samplers.empty() to check if any samplers are active
         std::map<llama_seq_id, llama_sampler *> samplers;
 
-        struct buffer_view<float>       logits     = {nullptr, 0};
-        struct buffer_view<llama_token> sampled    = {nullptr, 0};
-        struct buffer_view<float>       probs      = {nullptr, 0};
-        struct buffer_view<llama_token> candidates = {nullptr, 0};
+        buffer_view<float>       logits     = {nullptr, 0};
+        buffer_view<llama_token> sampled    = {nullptr, 0};
+        buffer_view<float>       probs      = {nullptr, 0};
+        buffer_view<llama_token> candidates = {nullptr, 0};
 
         std::vector<uint32_t> logits_count;
         std::vector<uint32_t> probs_count;
         std::vector<uint32_t> candidates_count;
 
+        // optimization
         std::vector<llama_token> token_ids_full_vocab;
     };
 
diff --git a/src/llama-cparams.h b/src/llama-cparams.h
index 2da3bbd6f94..9d359474132 100644
--- a/src/llama-cparams.h
+++ b/src/llama-cparams.h
@@ -31,6 +31,9 @@ struct llama_cparams {
     bool offload_kqv;
     bool flash_attn;
     bool auto_fa;
+    bool fused_gdn_ar;       // use fused gated delta net (autoregressive)
+    bool fused_gdn_ch;       // use fused gated delta net (chunked)
+    bool auto_fgdn;
     bool no_perf;
     bool warmup;
     bool op_offload;
diff --git a/src/llama-ext.h b/src/llama-ext.h
new file mode 100644
index 00000000000..13ced783b42
--- /dev/null
+++ b/src/llama-ext.h
@@ -0,0 +1,12 @@
+#pragma once
+
+#include "llama-context.h"
+#include "ggml.h"
+#include "stdint.h"
+
+// Reserve a new compute graph. It is valid until the next call to llama_graph_reserve.
+LLAMA_API struct ggml_cgraph * llama_graph_reserve(
+        struct llama_context * ctx,
+        uint32_t n_tokens,
+        uint32_t n_seqs,
+        uint32_t n_outputs);
diff --git a/src/llama-grammar.cpp b/src/llama-grammar.cpp
index 2d55070cecc..aac0d41f2b4 100644
--- a/src/llama-grammar.cpp
+++ b/src/llama-grammar.cpp
@@ -601,7 +601,7 @@ const char * llama_grammar_parser::parse_sequence(
                 throw std::runtime_error(std::string("expecting an int at ") + pos);
             }
             const char * int_end = parse_int(pos);
-            uint64_t min_times = std::stoul(std::string(pos, int_end - pos));
+            uint64_t min_times = std::stoull(std::string(pos, int_end - pos));
             pos = parse_space(int_end, is_nested);
 
             uint64_t max_times = UINT64_MAX; // default: no max limit
@@ -614,7 +614,7 @@ const char * llama_grammar_parser::parse_sequence(
 
                 if (is_digit_char(*pos)) {
                     const char * int_end = parse_int(pos);
-                    max_times = std::stoul(std::string(pos, int_end - pos));
+                    max_times = std::stoull(std::string(pos, int_end - pos));
                     pos = parse_space(int_end, is_nested);
                 }
 
@@ -1160,13 +1160,13 @@ struct llama_grammar * llama_grammar_init_impl(
     // if there is a grammar, parse it
     // rules will be empty (default) if there are parse errors
     if (!parser.parse(grammar_str) || parser.rules.empty()) {
-        fprintf(stderr, "%s: failed to parse grammar\n", __func__);
+        LLAMA_LOG_ERROR("failed to parse grammar\n");
         return nullptr;
     }
 
-    // Ensure that there is a "root" node.
-    if (parser.symbol_ids.find("root") == parser.symbol_ids.end()) {
-        fprintf(stderr, "%s: grammar does not contain a 'root' symbol\n", __func__);
+    // Ensure that the grammar contains the start symbol
+    if (parser.symbol_ids.find(grammar_root) == parser.symbol_ids.end()) {
+        LLAMA_LOG_ERROR("grammar does not contain a '%s' symbol\n", grammar_root);
         return nullptr;
     }
 
@@ -1195,7 +1195,7 @@ struct llama_grammar * llama_grammar_init_impl(
             continue;
         }
         if (llama_grammar_detect_left_recursion(vec_rules, i, &rules_visited, &rules_in_progress, &rules_may_be_empty)) {
-            LLAMA_LOG_ERROR("unsupported grammar, left recursion detected for nonterminal at index %zu", i);
+            LLAMA_LOG_ERROR("unsupported grammar, left recursion detected for nonterminal at index %zu\n", i);
             return nullptr;
         }
     }
diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp
index bba747d37b5..9a215bb77a0 100644
--- a/src/llama-graph.cpp
+++ b/src/llama-graph.cpp
@@ -17,6 +17,41 @@
 #include <sstream>
 #include <unordered_set>
 
+// dedup helpers
+
+static ggml_tensor * build_kq_mask(
+        ggml_context * ctx,
+        const llama_kv_cache_context * mctx,
+        const llama_ubatch & ubatch,
+        const llama_cparams & cparams) {
+    const auto n_kv     = mctx->get_n_kv();
+    const auto n_tokens = ubatch.n_tokens;
+    const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
+
+    return ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+}
+
+static bool can_reuse_kq_mask(
+        ggml_tensor * kq_mask,
+        const llama_kv_cache_context * mctx,
+        const llama_ubatch & ubatch,
+        const llama_cparams & cparams) {
+    const auto n_kv     = mctx->get_n_kv();
+    const auto n_tokens = ubatch.n_tokens;
+    const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
+
+    bool res = true;
+
+    res &= (kq_mask->ne[0] == n_kv);
+    res &= (kq_mask->ne[1] == n_tokens/n_stream);
+    res &= (kq_mask->ne[2] == 1);
+    res &= (kq_mask->ne[3] == n_stream);
+
+    return res;
+}
+
+// impl
+
 void llm_graph_input_embd::set_input(const llama_ubatch * ubatch) {
     if (ubatch->token) {
         const int64_t n_tokens = ubatch->n_tokens;
@@ -150,7 +185,10 @@ bool llm_graph_input_out_ids::can_reuse(const llm_graph_params & params) {
 }
 
 void llm_graph_input_mean::set_input(const llama_ubatch * ubatch) {
-    if (cparams.embeddings && cparams.pooling_type == LLAMA_POOLING_TYPE_MEAN) {
+    if (cparams.embeddings   &&
+       (cparams.pooling_type == LLAMA_POOLING_TYPE_MEAN ||
+        cparams.pooling_type == LLAMA_POOLING_TYPE_RANK )) {
+
         const int64_t n_tokens     = ubatch->n_tokens;
         const int64_t n_seq_tokens = ubatch->n_seq_tokens;
         const int64_t n_seqs_unq   = ubatch->n_seqs_unq;
@@ -212,7 +250,7 @@ void llm_graph_input_cls::set_input(const llama_ubatch * ubatch) {
 
         const bool last = (
              cparams.pooling_type == LLAMA_POOLING_TYPE_LAST ||
-            (cparams.pooling_type == LLAMA_POOLING_TYPE_RANK && arch == LLM_ARCH_QWEN3) // qwen3 reranking & embedding models use last token
+            (cparams.pooling_type == LLAMA_POOLING_TYPE_RANK && (arch == LLM_ARCH_QWEN3 || arch == LLM_ARCH_QWEN3VL)) // qwen3 reranking & embedding models use last token
         );
 
         for (int i = 0; i < n_tokens; ++i) {
@@ -403,8 +441,7 @@ bool llm_graph_input_attn_kv::can_reuse(const llm_graph_params & params) {
     res &= self_k_idxs->ne[0] == params.ubatch.n_tokens;
   //res &= self_v_idxs->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
 
-    res &= self_kq_mask->ne[0] == mctx->get_n_kv();
-    res &= self_kq_mask->ne[1] == params.ubatch.n_tokens;
+    res &= can_reuse_kq_mask(self_kq_mask, mctx, params.ubatch, params.cparams);
 
     return res;
 }
@@ -424,8 +461,7 @@ bool llm_graph_input_attn_k::can_reuse(const llm_graph_params & params) {
 
     res &= self_k_idxs->ne[0] == params.ubatch.n_tokens;
 
-    res &= self_kq_mask->ne[0] == mctx->get_n_kv();
-    res &= self_kq_mask->ne[1] == params.ubatch.n_tokens;
+    res &= can_reuse_kq_mask(self_kq_mask, mctx, params.ubatch, params.cparams);
 
     return res;
 }
@@ -455,11 +491,8 @@ bool llm_graph_input_attn_kv_iswa::can_reuse(const llm_graph_params & params) {
     res &= self_k_idxs_swa->ne[0] == params.ubatch.n_tokens;
   //res &= self_v_idxs_swa->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
 
-    res &= self_kq_mask->ne[0] == mctx->get_base()->get_n_kv();
-    res &= self_kq_mask->ne[1] == params.ubatch.n_tokens;
-
-    res &= self_kq_mask_swa->ne[0] == mctx->get_swa()->get_n_kv();
-    res &= self_kq_mask_swa->ne[1] == params.ubatch.n_tokens;
+    res &= can_reuse_kq_mask(self_kq_mask,     mctx->get_base(), params.ubatch, params.cparams);
+    res &= can_reuse_kq_mask(self_kq_mask_swa, mctx->get_swa(),  params.ubatch, params.cparams);
 
     return res;
 }
@@ -476,6 +509,7 @@ void llm_graph_input_attn_cross::set_input(const llama_ubatch * ubatch) {
     float * data = (float *) cross_kq_mask->data;
 
     for (int i = 0; i < n_tokens; ++i) {
+        GGML_ASSERT(!cross->seq_ids_enc.empty() && "llama_encode must be called first");
         for (int j = 0; j < n_enc; ++j) {
             float f = -INFINITY;
 
@@ -521,8 +555,7 @@ bool llm_graph_input_mem_hybrid::can_reuse(const llm_graph_params & params) {
     res &= inp_attn->self_k_idxs->ne[0] == params.ubatch.n_tokens;
   //res &= inp_attn->self_v_idxs->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
 
-    res &= inp_attn->self_kq_mask->ne[0] == mctx->get_attn()->get_n_kv();
-    res &= inp_attn->self_kq_mask->ne[1] == params.ubatch.n_tokens;
+    res &= can_reuse_kq_mask(inp_attn->self_kq_mask, mctx->get_attn(), params.ubatch, params.cparams);
 
     res &= inp_rs->s_copy->ne[0] == mctx->get_recr()->get_n_rs();
 
@@ -565,8 +598,7 @@ bool llm_graph_input_mem_hybrid_k::can_reuse(const llm_graph_params & params) {
 
     res &= inp_attn->self_k_idxs->ne[0] == params.ubatch.n_tokens;
 
-    res &= inp_attn->self_kq_mask->ne[0] == mctx->get_attn()->get_n_kv();
-    res &= inp_attn->self_kq_mask->ne[1] == params.ubatch.n_tokens;
+    res &= can_reuse_kq_mask(inp_attn->self_kq_mask, mctx->get_attn(), params.ubatch, params.cparams);
 
     res &= inp_rs->s_copy->ne[0] == mctx->get_recr()->get_n_rs();
 
@@ -625,8 +657,7 @@ bool llm_graph_input_mem_hybrid_iswa::can_reuse(const llm_graph_params & params)
         res &= inp_attn->self_k_idxs->ne[0] == params.ubatch.n_tokens;
       //res &= inp_attn->self_v_idxs->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
 
-        res &= inp_attn->self_kq_mask->ne[0] == attn_ctx->get_base()->get_n_kv();
-        res &= inp_attn->self_kq_mask->ne[1] == params.ubatch.n_tokens;
+        res &= can_reuse_kq_mask(inp_attn->self_kq_mask, attn_ctx->get_base(), params.ubatch, params.cparams);
     }
 
     // swa tensors may not be allocated if there are no SWA attention layers
@@ -634,8 +665,7 @@ bool llm_graph_input_mem_hybrid_iswa::can_reuse(const llm_graph_params & params)
         res &= inp_attn->self_k_idxs_swa->ne[0] == params.ubatch.n_tokens;
       //res &= inp_attn->self_v_idxs_swa->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
 
-        res &= inp_attn->self_kq_mask_swa->ne[0] == attn_ctx->get_swa()->get_n_kv();
-        res &= inp_attn->self_kq_mask_swa->ne[1] == params.ubatch.n_tokens;
+        res &= can_reuse_kq_mask(inp_attn->self_kq_mask_swa, attn_ctx->get_swa(), params.ubatch, params.cparams);
     }
 
     res &= inp_rs->s_copy->ne[0] == mctx->get_recr()->get_n_rs();
@@ -819,13 +849,13 @@ llm_graph_context::llm_graph_context(const llm_graph_params & params) :
     ubatch           (params.ubatch),
     n_embd           (hparams.n_embd),
     n_layer          (hparams.n_layer),
-    n_rot            (hparams.n_rot),
+    n_rot            (hparams.n_rot()),
     n_ctx            (cparams.n_ctx),
     n_head           (hparams.n_head()),
     n_head_kv        (hparams.n_head_kv()),
-    n_embd_head_k    (hparams.n_embd_head_k),
+    n_embd_head_k    (hparams.n_embd_head_k()),
     n_embd_k_gqa     (hparams.n_embd_k_gqa()),
-    n_embd_head_v    (hparams.n_embd_head_v),
+    n_embd_head_v    (hparams.n_embd_head_v()),
     n_embd_v_gqa     (hparams.n_embd_v_gqa()),
     n_expert         (hparams.n_expert),
     n_expert_used    (cparams.warmup ? hparams.n_expert : hparams.n_expert_used),
@@ -870,7 +900,8 @@ ggml_tensor * llm_graph_context::build_cvec(
 
 ggml_tensor * llm_graph_context::build_lora_mm(
           ggml_tensor * w,
-          ggml_tensor * cur) const {
+          ggml_tensor * cur,
+          ggml_tensor * w_s) const {
     ggml_tensor * res = ggml_mul_mat(ctx0, w, cur);
 
     for (const auto & lora : *loras) {
@@ -891,6 +922,10 @@ ggml_tensor * llm_graph_context::build_lora_mm(
         res = ggml_add(ctx0, res, ab_cur);
     }
 
+    if (w_s) {
+        res = ggml_mul(ctx0, res, w_s);
+    }
+
     return res;
 }
 
@@ -1099,8 +1134,8 @@ ggml_tensor * llm_graph_context::build_ffn(
 
     if (down) {
         cur = build_lora_mm(down, cur);
-        if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE) {
-            // GLM4 and GLM4_MOE seem to have numerical issues with half-precision accumulators
+        if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE || arch == LLM_ARCH_JAIS2) {
+            // GLM4, GLM4_MOE, and JAIS2 seem to have numerical issues with half-precision accumulators
             ggml_mul_mat_set_prec(cur, GGML_PREC_F32);
         }
     }
@@ -1132,11 +1167,14 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
              int64_t   n_expert_used,
      llm_ffn_op_type   type_op,
                 bool   norm_w,
-                bool   scale_w,
                float   w_scale,
          llama_expert_gating_func_type gating_op,
                  int   il,
-         ggml_tensor * probs_in) const {
+         ggml_tensor * probs_in,
+         ggml_tensor * gate_up_exps,
+         ggml_tensor * up_exps_s,
+         ggml_tensor * gate_exps_s,
+         ggml_tensor * down_exps_s) const {
     return build_moe_ffn(
         cur,
         gate_inp,  /* gate_inp_b  */ nullptr,
@@ -1148,11 +1186,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
         n_expert_used,
         type_op,
         norm_w,
-        scale_w,
         w_scale,
         gating_op,
         il,
-        probs_in
+        probs_in,
+        gate_up_exps,
+        /* gate_up_exps_b */ nullptr,
+        up_exps_s,
+        gate_exps_s,
+        down_exps_s
     );
 }
 
@@ -1171,11 +1213,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
              int64_t   n_expert_used,
      llm_ffn_op_type   type_op,
                 bool   norm_w,
-                bool   scale_w,
                float   w_scale,
         llama_expert_gating_func_type gating_op,
                  int   il,
-         ggml_tensor * probs_in) const {
+         ggml_tensor * probs_in,
+         ggml_tensor * gate_up_exps,
+         ggml_tensor * gate_up_exps_b,
+         ggml_tensor * up_exps_s,
+         ggml_tensor * gate_exps_s,
+         ggml_tensor * down_exps_s) const {
     const int64_t n_embd   = cur->ne[0];
     const int64_t n_tokens = cur->ne[1];
     const bool weight_before_ffn = arch == LLM_ARCH_LLAMA4; // for llama4, we apply the sigmoid-ed weights before the FFN
@@ -1297,7 +1343,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
 
         weights = ggml_reshape_3d(ctx0, weights, 1, n_expert_used, n_tokens);
     }
-    if (scale_w) {
+    if (w_scale != 0.0f && w_scale != 1.0f) {
         weights = ggml_scale(ctx0, weights, w_scale);
         cb(weights, "ffn_moe_weights_scaled", il);
     }
@@ -1314,27 +1360,76 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
         cb(cur, "ffn_moe_weighted", il);
     }
 
-    ggml_tensor * up = build_lora_mm_id(up_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
-    cb(up, "ffn_moe_up", il);
+    ggml_tensor * up = nullptr;
+    ggml_tensor * experts = nullptr;
+
+    if (gate_up_exps) {
+        // merged gate_up path: one mul_mat_id, then split into gate and up views
+        ggml_tensor * gate_up = build_lora_mm_id(gate_up_exps, cur, selected_experts); // [n_ff*2, n_expert_used, n_tokens]
+        cb(gate_up, "ffn_moe_gate_up", il);
 
-    if (up_exps_b) {
-        up = ggml_add_id(ctx0, up, up_exps_b, selected_experts);
-        cb(up, "ffn_moe_up_biased", il);
-    }
+        if (gate_up_exps_b) {
+            gate_up = ggml_add_id(ctx0, gate_up, gate_up_exps_b, selected_experts);
+            cb(gate_up, "ffn_moe_gate_up_biased", il);
+        }
 
-    ggml_tensor * experts = nullptr;
-    if (gate_exps) {
-        cur = build_lora_mm_id(gate_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
+        // apply per-expert scale2 to merged gate_up (use up_exps_s since gate and up are fused)
+        if (up_exps_s) {
+            ggml_tensor * s = ggml_reshape_3d(ctx0, up_exps_s, 1, n_expert, 1);
+            s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1);
+            s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens]
+            gate_up = ggml_mul(ctx0, gate_up, s);
+            cb(gate_up, "ffn_moe_gate_up_scaled", il);
+        }
+
+        const int64_t n_ff = gate_up->ne[0] / 2;
+        cur = ggml_view_3d(ctx0, gate_up, n_ff, gate_up->ne[1], gate_up->ne[2], gate_up->nb[1], gate_up->nb[2], 0);
         cb(cur, "ffn_moe_gate", il);
+        up  = ggml_view_3d(ctx0, gate_up, n_ff, gate_up->ne[1], gate_up->ne[2], gate_up->nb[1], gate_up->nb[2], n_ff * gate_up->nb[0]);
+        cb(up, "ffn_moe_up", il);
     } else {
-        cur = up;
-    }
+        // separate gate and up path
+        up = build_lora_mm_id(up_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
+        cb(up, "ffn_moe_up", il);
+
+        if (up_exps_b) {
+            up = ggml_add_id(ctx0, up, up_exps_b, selected_experts);
+            cb(up, "ffn_moe_up_biased", il);
+        }
+
+        // apply per-expert scale2 to up
+        if (up_exps_s) {
+            ggml_tensor * s = ggml_reshape_3d(ctx0, up_exps_s, 1, n_expert, 1);
+            s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1);
+            s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens]
+            up = ggml_mul(ctx0, up, s);
+            cb(up, "ffn_moe_up_scaled", il);
+        }
 
-    if (gate_exps_b) {
-        cur = ggml_add_id(ctx0, cur, gate_exps_b, selected_experts);
-        cb(cur, "ffn_moe_gate_biased", il);
+        if (gate_exps) {
+            cur = build_lora_mm_id(gate_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
+            cb(cur, "ffn_moe_gate", il);
+        } else {
+            cur = up;
+        }
+
+        if (gate_exps_b) {
+            cur = ggml_add_id(ctx0, cur, gate_exps_b, selected_experts);
+            cb(cur, "ffn_moe_gate_biased", il);
+        }
+
+        // apply per-expert scale2 to gate
+        if (gate_exps_s) {
+            ggml_tensor * s = ggml_reshape_3d(ctx0, gate_exps_s, 1, n_expert, 1);
+            s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1);
+            s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens]
+            cur = ggml_mul(ctx0, cur, s);
+            cb(cur, "ffn_moe_gate_scaled", il);
+        }
     }
 
+    const bool has_gate = gate_exps || gate_up_exps;
+
     switch (type_op) {
         case LLM_FFN_SILU:
             if (gate_exps) {
@@ -1356,7 +1451,9 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
                         break;
                     }
                 }
+            }
 
+            if (has_gate) {
                 cur = ggml_swiglu_split(ctx0, cur, up);
                 cb(cur, "ffn_moe_swiglu", il);
             } else {
@@ -1364,7 +1461,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
                 cb(cur, "ffn_moe_silu", il);
             } break;
         case LLM_FFN_GELU:
-            if (gate_exps) {
+            if (has_gate) {
                 cur = ggml_geglu_split(ctx0, cur, up);
                 cb(cur, "ffn_moe_geglu", il);
             } else {
@@ -1380,7 +1477,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
                 cb(cur, "ffn_moe_swiglu_oai", il);
             } break;
         case LLM_FFN_RELU:
-            if (gate_exps) {
+            if (has_gate) {
                 cur = ggml_reglu_split(ctx0, cur, up);
                 cb(cur, "ffn_moe_reglu", il);
             } else {
@@ -1388,7 +1485,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
                 cb(cur, "ffn_moe_relu", il);
             } break;
         case LLM_FFN_RELU_SQR:
-            if (gate_exps) {
+            if (has_gate) {
                 // TODO: add support for gated squared relu
                 GGML_ABORT("fatal error: gated squared relu not implemented");
             } else {
@@ -1408,6 +1505,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
         cb(experts, "ffn_moe_down_biased", il);
     }
 
+    // apply per-expert scale2 to down
+    if (down_exps_s) {
+        ggml_tensor * s = ggml_reshape_3d(ctx0, down_exps_s, 1, n_expert, 1);
+        s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1);
+        s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens]
+        experts = ggml_mul(ctx0, experts, s);
+        cb(experts, "ffn_moe_down_scaled", il);
+    }
+
     if (!weight_before_ffn) {
         experts = ggml_mul(ctx0, experts, weights);
         cb(cur, "ffn_moe_weighted", il);
@@ -1550,6 +1656,7 @@ ggml_tensor * llm_graph_context::build_inp_attn_scale() const {
     // this need to be 1x1xN for broadcasting
     cur = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, 1, 1, n_tokens);
     ggml_set_input(cur);
+    ggml_set_name(cur, "attn_scale");
 
     res->add_input(std::move(inp));
 
@@ -1559,7 +1666,7 @@ ggml_tensor * llm_graph_context::build_inp_attn_scale() const {
 ggml_tensor * llm_graph_context::build_inp_out_ids() const {
     // note: when all tokens are output, we could skip this optimization to spare the ggml_get_rows() calls,
     //       but this would make the graph topology depend on the number of output tokens, which can interere with
-    //       features that require constant topology such as pipline parallelism
+    //       features that require constant topology such as pipeline parallelism
     //       ref: https://github.com/ggml-org/llama.cpp/pull/14275#issuecomment-2987424471
     //if (n_outputs < n_tokens) {
     //    return nullptr;
@@ -1695,7 +1802,8 @@ ggml_tensor * llm_graph_context::build_attn_mha(
 
     ggml_tensor * cur;
 
-    if (cparams.flash_attn && kq_b == nullptr) {
+    const bool use_flash_attn = cparams.flash_attn && kq_b == nullptr;
+    if (use_flash_attn) {
         GGML_ASSERT(kq_b == nullptr && "Flash attention does not support KQ bias yet");
 
         if (v_trans) {
@@ -1721,7 +1829,7 @@ ggml_tensor * llm_graph_context::build_attn_mha(
         if (v_mla) {
 #if 0
             // v_mla can be applied as a matrix-vector multiplication with broadcasting across dimension 3 == n_tokens.
-            // However, the code is optimized for dimensions 0 and 1 being large, so this is ineffient.
+            // However, the code is optimized for dimensions 0 and 1 being large, so this is inefficient.
             cur = ggml_reshape_4d(ctx0, cur, v_mla->ne[0], 1, n_head, n_tokens);
             cur = ggml_mul_mat(ctx0, v_mla, cur);
 #else
@@ -1891,14 +1999,11 @@ static std::unique_ptr<llm_graph_input_attn_kv> build_attn_inp_kv_impl(
     {
         GGML_ASSERT(hparams.swa_type == LLAMA_SWA_TYPE_NONE && "Use llama_kv_cache_iswa for SWA");
 
-        const auto n_kv     = mctx_cur->get_n_kv();
-        const auto n_tokens = ubatch.n_tokens;
-        const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
-
         inp->self_k_idxs = mctx_cur->build_input_k_idxs(ctx0, ubatch);
         inp->self_v_idxs = mctx_cur->build_input_v_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+        inp->self_kq_mask = build_kq_mask(ctx0, mctx_cur, ubatch, cparams);
+
         ggml_set_input(inp->self_kq_mask);
 
         inp->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp->self_kq_mask, GGML_TYPE_F16) : inp->self_kq_mask;
@@ -1958,8 +2063,8 @@ ggml_tensor * llm_graph_context::build_attn(
 
     if (wo) {
         cur = build_lora_mm(wo, cur);
-        if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE) {
-            // GLM4 and GLM4_MOE seem to have numerical issues with half-precision accumulators
+        if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE || arch == LLM_ARCH_JAIS2) {
+            // GLM4, GLM4_MOE, and JAIS2 seem to have numerical issues with half-precision accumulators
             ggml_mul_mat_set_prec(cur, GGML_PREC_F32);
         }
     }
@@ -1983,13 +2088,9 @@ static std::unique_ptr<llm_graph_input_attn_k> build_attn_inp_k_impl(
     {
         GGML_ASSERT(hparams.swa_type == LLAMA_SWA_TYPE_NONE && "Use llama_kv_cache_iswa for SWA");
 
-        const auto n_kv     = mctx_cur->get_n_kv();
-        const auto n_tokens = ubatch.n_tokens;
-        const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
-
         inp->self_k_idxs = mctx_cur->build_input_k_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+        inp->self_kq_mask = build_kq_mask(ctx0, mctx_cur, ubatch, cparams);
         ggml_set_input(inp->self_kq_mask);
 
         inp->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp->self_kq_mask, GGML_TYPE_F16) : inp->self_kq_mask;
@@ -2188,15 +2289,11 @@ llm_graph_input_attn_kv_iswa * llm_graph_context::build_attn_inp_kv_iswa() const
 
     auto inp = std::make_unique<llm_graph_input_attn_kv_iswa>(hparams, cparams, mctx_cur);
 
-    const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
-
     {
-        const auto n_kv = mctx_cur->get_base()->get_n_kv();
-
         inp->self_k_idxs = mctx_cur->get_base()->build_input_k_idxs(ctx0, ubatch);
         inp->self_v_idxs = mctx_cur->get_base()->build_input_v_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+        inp->self_kq_mask = build_kq_mask(ctx0, mctx_cur->get_base(), ubatch, cparams);
         ggml_set_input(inp->self_kq_mask);
         ggml_set_name(inp->self_kq_mask, "self_kq_mask");
 
@@ -2207,12 +2304,10 @@ llm_graph_input_attn_kv_iswa * llm_graph_context::build_attn_inp_kv_iswa() const
     {
         GGML_ASSERT(hparams.swa_type != LLAMA_SWA_TYPE_NONE && "Use llama_kv_cache for non-SWA");
 
-        const auto n_kv = mctx_cur->get_swa()->get_n_kv();
-
         inp->self_k_idxs_swa = mctx_cur->get_swa()->build_input_k_idxs(ctx0, ubatch);
         inp->self_v_idxs_swa = mctx_cur->get_swa()->build_input_v_idxs(ctx0, ubatch);
 
-        inp->self_kq_mask_swa = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+        inp->self_kq_mask_swa = build_kq_mask(ctx0, mctx_cur->get_swa(), ubatch, cparams);
         ggml_set_input(inp->self_kq_mask_swa);
         ggml_set_name(inp->self_kq_mask_swa, "self_kq_mask_swa");
 
@@ -2374,27 +2469,21 @@ llm_graph_input_mem_hybrid_iswa * llm_graph_context::build_inp_mem_hybrid_iswa()
 
     auto inp_attn = std::make_unique<llm_graph_input_attn_kv_iswa>(hparams, cparams, attn_ctx);
 
-    const auto n_stream = cparams.kv_unified ? 1 : ubatch.n_seqs_unq;
-
     {
-        const auto n_kv = attn_ctx->get_base()->get_n_kv();
-
         inp_attn->self_k_idxs = attn_ctx->get_base()->build_input_k_idxs(ctx0, ubatch);
         inp_attn->self_v_idxs = attn_ctx->get_base()->build_input_v_idxs(ctx0, ubatch);
 
-        inp_attn->self_kq_mask = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+        inp_attn->self_kq_mask = build_kq_mask(ctx0, attn_ctx->get_base(), ubatch, cparams);
         ggml_set_input(inp_attn->self_kq_mask);
 
         inp_attn->self_kq_mask_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp_attn->self_kq_mask, GGML_TYPE_F16) : inp_attn->self_kq_mask;
     }
 
     {
-        const auto n_kv = attn_ctx->get_swa()->get_n_kv();
-
         inp_attn->self_k_idxs_swa = attn_ctx->get_swa()->build_input_k_idxs(ctx0, ubatch);
         inp_attn->self_v_idxs_swa = attn_ctx->get_swa()->build_input_v_idxs(ctx0, ubatch);
 
-        inp_attn->self_kq_mask_swa = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, n_kv, n_tokens/n_stream, 1, n_stream);
+        inp_attn->self_kq_mask_swa = build_kq_mask(ctx0, attn_ctx->get_swa(), ubatch, cparams);
         ggml_set_input(inp_attn->self_kq_mask_swa);
 
         inp_attn->self_kq_mask_swa_cnv = cparams.flash_attn ? ggml_cast(ctx0, inp_attn->self_kq_mask_swa, GGML_TYPE_F16) : inp_attn->self_kq_mask_swa;
@@ -2407,8 +2496,9 @@ llm_graph_input_mem_hybrid_iswa * llm_graph_context::build_inp_mem_hybrid_iswa()
 
 void llm_graph_context::build_dense_out(
     ggml_tensor * dense_2,
+    ggml_tensor * dense_2_b,
     ggml_tensor * dense_3) const {
-    if (!cparams.embeddings || !(dense_2 || dense_3)) {
+    if (!cparams.embeddings || !(dense_2 || dense_2_b || dense_3)) {
         return;
     }
     ggml_tensor * cur = res->t_embd_pooled != nullptr ? res->t_embd_pooled : res->t_embd;
@@ -2417,6 +2507,9 @@ void llm_graph_context::build_dense_out(
     if (dense_2) {
         cur = ggml_mul_mat(ctx0, dense_2, cur);
     }
+    if (dense_2_b) {
+        cur = ggml_add(ctx0, cur, dense_2_b);
+    }
     if (dense_3) {
         cur = ggml_mul_mat(ctx0, dense_3, cur);
     }
@@ -2430,7 +2523,8 @@ void llm_graph_context::build_pooling(
         ggml_tensor * cls,
         ggml_tensor * cls_b,
         ggml_tensor * cls_out,
-        ggml_tensor * cls_out_b) const {
+        ggml_tensor * cls_out_b,
+        ggml_tensor * cls_norm) const {
     if (!cparams.embeddings) {
         return;
     }
@@ -2469,8 +2563,15 @@ void llm_graph_context::build_pooling(
             } break;
         case LLAMA_POOLING_TYPE_RANK:
             {
-                ggml_tensor * inp_cls = build_inp_cls();
-                cur = ggml_get_rows(ctx0, inp, inp_cls);
+                if (arch == LLM_ARCH_MODERN_BERT) {
+                    // modern bert gte reranker builds mean first then applies prediction head and classifier
+                    // https://github.com/huggingface/transformers/blob/main/src/transformers/models/modernbert/modular_modernbert.py#L1404-1411
+                    ggml_tensor * inp_mean = build_inp_mean();
+                    cur = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, inp)), inp_mean);
+                } else {
+                    ggml_tensor * inp_cls = build_inp_cls();
+                    cur = ggml_get_rows(ctx0, inp, inp_cls);
+                }
 
                 // classification head
                 // https://github.com/huggingface/transformers/blob/5af7d41e49bbfc8319f462eb45253dcb3863dfb7/src/transformers/models/roberta/modeling_roberta.py#L1566
@@ -2479,7 +2580,15 @@ void llm_graph_context::build_pooling(
                     if (cls_b) {
                         cur = ggml_add(ctx0, cur, cls_b);
                     }
-                    cur = ggml_tanh(ctx0, cur);
+                    if (arch == LLM_ARCH_MODERN_BERT) {
+                        cur = ggml_gelu(ctx0, cur);
+                    } else {
+                        cur = ggml_tanh(ctx0, cur);
+                    }
+                    if (cls_norm) {
+                        // head norm
+                        cur = build_norm(cur, cls_norm, NULL, LLM_NORM, -1);
+                    }
                 }
 
                 // some models don't have `cls_out`, for example: https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
@@ -2494,7 +2603,7 @@ void llm_graph_context::build_pooling(
                 }
 
                 // softmax for qwen3 reranker
-                if (arch == LLM_ARCH_QWEN3) {
+                if (arch == LLM_ARCH_QWEN3 || arch == LLM_ARCH_QWEN3VL) {
                     cur = ggml_soft_max(ctx0, cur);
                 }
             } break;
diff --git a/src/llama-graph.h b/src/llama-graph.h
index 1d69ff1a6fc..4855685ef71 100644
--- a/src/llama-graph.h
+++ b/src/llama-graph.h
@@ -764,10 +764,11 @@ struct llm_graph_context {
              ggml_tensor * cur,
                      int   il) const;
 
-    // do mat_mul, while optionally apply lora
+    // do mat_mul, while optionally apply lora and per-tensor scale
     ggml_tensor * build_lora_mm(
               ggml_tensor * w,
-              ggml_tensor * cur) const;
+              ggml_tensor * cur,
+              ggml_tensor * w_s = nullptr) const;
 
     // do mat_mul_id, while optionally apply lora
     ggml_tensor * build_lora_mm_id(
@@ -810,11 +811,14 @@ struct llm_graph_context {
                  int64_t   n_expert_used,
          llm_ffn_op_type   type_op,
                     bool   norm_w,
-                    bool   scale_w,
                    float   w_scale,
             llama_expert_gating_func_type gating_op,
                      int   il,
-             ggml_tensor * probs_in = nullptr) const;
+             ggml_tensor * probs_in = nullptr,
+             ggml_tensor * gate_up_exps = nullptr,
+             ggml_tensor * up_exps_s = nullptr,
+             ggml_tensor * gate_exps_s = nullptr,
+             ggml_tensor * down_exps_s = nullptr) const;
 
     ggml_tensor * build_moe_ffn(
              ggml_tensor * cur,
@@ -831,11 +835,15 @@ struct llm_graph_context {
                  int64_t   n_expert_used,
          llm_ffn_op_type   type_op,
                     bool   norm_w,
-                    bool   scale_w,
                    float   w_scale,
             llama_expert_gating_func_type gating_op,
                      int   il,
-             ggml_tensor * probs_in = nullptr) const;
+             ggml_tensor * probs_in = nullptr,
+             ggml_tensor * gate_up_exps = nullptr,
+             ggml_tensor * gate_up_exps_b = nullptr,
+             ggml_tensor * up_exps_s = nullptr,
+             ggml_tensor * gate_exps_s = nullptr,
+             ggml_tensor * down_exps_s = nullptr) const;
 
     //
     // inputs
@@ -1000,7 +1008,8 @@ struct llm_graph_context {
             ggml_tensor * cls,
             ggml_tensor * cls_b,
             ggml_tensor * cls_out,
-            ggml_tensor * cls_out_b) const;
+            ggml_tensor * cls_out_b,
+            ggml_tensor * cls_norm) const;
 
     //
     // sampling (backend sampling)
@@ -1014,6 +1023,7 @@ struct llm_graph_context {
 
     void build_dense_out(
             ggml_tensor * dense_2,
+            ggml_tensor * dense_2_b,
             ggml_tensor * dense_3) const;
 };
 
diff --git a/src/llama-hparams.cpp b/src/llama-hparams.cpp
index 756dda1a7ab..002d15d415f 100644
--- a/src/llama-hparams.cpp
+++ b/src/llama-hparams.cpp
@@ -62,6 +62,14 @@ uint32_t llama_hparams::n_gqa(uint32_t il) const {
     return n_head/n_head_kv;
 }
 
+uint32_t llama_hparams::n_rot(uint32_t il) const {
+    if (il < n_layer) {
+        return is_swa(il) ? n_rot_swa : n_rot_full;
+    }
+
+    GGML_ABORT("fatal error");
+}
+
 uint32_t llama_hparams::n_embd_inp() const {
     uint32_t n_embd_inp = n_embd;
 
@@ -76,16 +84,32 @@ uint32_t llama_hparams::n_embd_out() const {
     return n_embd_out_impl > 0 ? n_embd_out_impl : n_embd;
 }
 
+uint32_t llama_hparams::n_embd_head_k(uint32_t il) const {
+    if (il < n_layer) {
+        return is_swa(il) ? n_embd_head_k_swa : n_embd_head_k_full;
+    }
+
+    GGML_ABORT("fatal error");
+}
+
+uint32_t llama_hparams::n_embd_head_v(uint32_t il) const {
+    if (il < n_layer) {
+        return is_swa(il) ? n_embd_head_v_swa : n_embd_head_v_full;
+    }
+
+    GGML_ABORT("fatal error");
+}
+
 uint32_t llama_hparams::n_embd_k_gqa(uint32_t il) const {
     const uint32_t n_head_kv = this->n_head_kv(il);
 
-    return n_embd_head_k * n_head_kv;
+    return n_embd_head_k(il) * n_head_kv;
 }
 
 uint32_t llama_hparams::n_embd_v_gqa(uint32_t il) const {
     const uint32_t n_head_kv = this->n_head_kv(il);
 
-    return n_embd_head_v * n_head_kv;
+    return n_embd_head_v(il) * n_head_kv;
 }
 
 bool llama_hparams::is_n_embd_k_gqa_variable() const {
@@ -197,11 +221,11 @@ bool llama_hparams::is_mla() const {
 }
 
 uint32_t llama_hparams::n_embd_head_k_mla() const {
-    return is_mla() ? n_embd_head_k_mla_impl : n_embd_head_k;
+    return is_mla() ? n_embd_head_k_mla_impl : n_embd_head_k();
 }
 
 uint32_t llama_hparams::n_embd_head_v_mla() const {
-    return is_mla() ? n_embd_head_v_mla_impl : n_embd_head_v;
+    return is_mla() ? n_embd_head_v_mla_impl : n_embd_head_v();
 }
 
 bool llama_hparams::has_kv(uint32_t il) const {
diff --git a/src/llama-hparams.h b/src/llama-hparams.h
index 706eda8441b..78c0bc27d4d 100644
--- a/src/llama-hparams.h
+++ b/src/llama-hparams.h
@@ -44,13 +44,20 @@ struct llama_hparams {
     uint32_t n_embd;
     uint32_t n_layer;
     int32_t n_layer_kv_from_start = -1; // if non-negative, the first n_layer_kv_from_start layers have KV cache
-    uint32_t n_rot;
-    uint32_t n_embd_head_k; // dimension of keys (d_k). d_q is assumed to be the same, but there are n_head q heads, and only n_head_kv k-v heads
-    uint32_t n_embd_head_v; // dimension of values (d_v) aka n_embd_head
     uint32_t n_expert = 0;
     uint32_t n_expert_used = 0;
     uint32_t n_rel_attn_bkts = 0;
 
+    // different head size for full_attention and SWA layers
+    uint32_t n_embd_head_k_full; // dimension of keys (d_k). d_q is assumed to be the same, but there are n_head q heads, and only n_head_kv k-v heads
+    uint32_t n_embd_head_v_full; // dimension of values (d_v) aka n_embd_head
+    uint32_t n_embd_head_k_swa;
+    uint32_t n_embd_head_v_swa;
+
+    // different RoPE dimensions for full_attention and SWA layers
+    uint32_t n_rot_full;
+    uint32_t n_rot_swa;
+
     // note: deepseek2 using MLA converts into MQA with larger heads, then decompresses to MHA
     uint32_t n_embd_head_k_mla_impl = 0;
     uint32_t n_embd_head_v_mla_impl = 0;
@@ -82,6 +89,7 @@ struct llama_hparams {
     bool     expert_weights_norm  = false;
     uint32_t expert_gating_func   = LLAMA_EXPERT_GATING_FUNC_TYPE_NONE;
     uint32_t moe_every_n_layers   = 0;
+    uint32_t moe_latent_size      = 0;
     uint32_t nextn_predict_layers = 0;
 
     float f_norm_eps;
@@ -193,6 +201,11 @@ struct llama_hparams {
     std::array<float, LLAMA_MAX_LAYERS> xielu_beta;
     std::array<float, LLAMA_MAX_LAYERS> xielu_eps;
 
+    // DSA (deepseek sparse attention)
+    uint32_t indexer_n_head    = 0;
+    uint32_t indexer_head_size = 0;
+    uint32_t indexer_top_k     = 0;
+
     // qwen3vl deepstack
     uint32_t n_deepstack_layers = 0;
 
@@ -242,12 +255,18 @@ struct llama_hparams {
 
     uint32_t n_gqa(uint32_t il = 0) const;
 
+    uint32_t n_rot(uint32_t il = 0) const;
+
     // dimension of main + auxiliary input embeddings
     uint32_t n_embd_inp() const;
 
     // dimension of output embeddings
     uint32_t n_embd_out() const;
 
+    // dimension of key/value embeddings for each head (per layer)
+    uint32_t n_embd_head_k(uint32_t il = 0) const;
+    uint32_t n_embd_head_v(uint32_t il = 0) const;
+
     // dimension of key embeddings across all k-v heads
     uint32_t n_embd_k_gqa(uint32_t il = 0) const;
 
diff --git a/src/llama-impl.cpp b/src/llama-impl.cpp
index 8e3e7b223a6..4c0188ee722 100644
--- a/src/llama-impl.cpp
+++ b/src/llama-impl.cpp
@@ -100,18 +100,18 @@ std::string format(const char * fmt, ...) {
 
 std::string llama_format_tensor_shape(const std::vector<int64_t> & ne) {
     char buf[256];
-    snprintf(buf, sizeof(buf), "%5" PRId64, ne.at(0));
+    snprintf(buf, sizeof(buf), "%6" PRId64, ne.at(0));
     for (size_t i = 1; i < ne.size(); i++) {
-        snprintf(buf + strlen(buf), sizeof(buf) - strlen(buf), ", %5" PRId64, ne.at(i));
+        snprintf(buf + strlen(buf), sizeof(buf) - strlen(buf), ", %6" PRId64, ne.at(i));
     }
     return buf;
 }
 
 std::string llama_format_tensor_shape(const struct ggml_tensor * t) {
     char buf[256];
-    snprintf(buf, sizeof(buf), "%5" PRId64, t->ne[0]);
+    snprintf(buf, sizeof(buf), "%6" PRId64, t->ne[0]);
     for (int i = 1; i < GGML_MAX_DIMS; i++) {
-        snprintf(buf + strlen(buf), sizeof(buf) - strlen(buf), ", %5" PRId64, t->ne[i]);
+        snprintf(buf + strlen(buf), sizeof(buf) - strlen(buf), ", %6" PRId64, t->ne[i]);
     }
     return buf;
 }
diff --git a/src/llama-impl.h b/src/llama-impl.h
index dfd9fee9f44..e4f35c8e53d 100644
--- a/src/llama-impl.h
+++ b/src/llama-impl.h
@@ -70,4 +70,6 @@ std::string llama_format_tensor_shape(const struct ggml_tensor * t);
 
 std::string gguf_kv_to_str(const struct gguf_context * ctx_gguf, int i);
 
-#define LLAMA_TENSOR_NAME_FATTN "__fattn__"
+#define LLAMA_TENSOR_NAME_FATTN   "__fattn__"
+#define LLAMA_TENSOR_NAME_FGDN_AR "__fgdn_ar__"
+#define LLAMA_TENSOR_NAME_FGDN_CH "__fgdn_ch__"
diff --git a/src/llama-kv-cache.cpp b/src/llama-kv-cache.cpp
index cb702b2a59f..82fe58fac46 100644
--- a/src/llama-kv-cache.cpp
+++ b/src/llama-kv-cache.cpp
@@ -583,7 +583,7 @@ llama_kv_cache::slot_info_vec_t llama_kv_cache::prepare(const std::vector<llama_
             break;
         }
 
-        // remeber the position that we found
+        // remember the position that we found
         res.push_back(sinfo_new);
 
         // store the old state of the cells in the recovery stack
@@ -978,6 +978,9 @@ bool llama_kv_cache::get_can_shift() const {
     if (model.arch == LLM_ARCH_STEP35) {
         return false;
     }
+    if (hparams.n_pos_per_embd() > 1) {
+        return false;
+    }
     return true;
 }
 
@@ -1030,8 +1033,8 @@ ggml_tensor * llama_kv_cache::get_k(ggml_context * ctx, int32_t il, uint32_t n_k
     const uint32_t ns = sinfo.s1 - sinfo.s0 + 1;
 
     return ggml_view_4d(ctx, k,
-            hparams.n_embd_head_k, hparams.n_head_kv(il), n_kv, ns,
-            ggml_row_size(k->type, hparams.n_embd_head_k),
+            hparams.n_embd_head_k(il), hparams.n_head_kv(il), n_kv, ns,
+            ggml_row_size(k->type, hparams.n_embd_head_k(il)),
             ggml_row_size(k->type, n_embd_k_gqa),
             ggml_row_size(k->type, n_embd_k_gqa*kv_size),
             ggml_row_size(k->type, n_embd_k_gqa*kv_size)*sinfo.s0);
@@ -1053,8 +1056,8 @@ ggml_tensor * llama_kv_cache::get_v(ggml_context * ctx, int32_t il, uint32_t n_k
     if (!v_trans) {
         // note: v->nb[1] <= v->nb[2]
         return ggml_view_4d(ctx, v,
-                hparams.n_embd_head_v, hparams.n_head_kv(il), n_kv, ns,
-                ggml_row_size(v->type, hparams.n_embd_head_v),          // v->nb[1]
+                hparams.n_embd_head_v(il), hparams.n_head_kv(il), n_kv, ns,
+                ggml_row_size(v->type, hparams.n_embd_head_v(il)),          // v->nb[1]
                 ggml_row_size(v->type, n_embd_v_gqa),                   // v->nb[2]
                 ggml_row_size(v->type, n_embd_v_gqa*kv_size),           // v->nb[3]
                 ggml_row_size(v->type, n_embd_v_gqa*kv_size)*sinfo.s0);
@@ -1062,8 +1065,8 @@ ggml_tensor * llama_kv_cache::get_v(ggml_context * ctx, int32_t il, uint32_t n_k
 
     // note: v->nb[1] > v->nb[2]
     return ggml_view_4d(ctx, v,
-            n_kv, hparams.n_head_kv(il), hparams.n_embd_head_v, ns,
-            ggml_row_size(v->type, kv_size*hparams.n_embd_head_v),  // v->nb[1]
+            n_kv, hparams.n_head_kv(il), hparams.n_embd_head_v(il), ns,
+            ggml_row_size(v->type, kv_size*hparams.n_embd_head_v(il)),  // v->nb[1]
             ggml_row_size(v->type, kv_size),                        // v->nb[2]
             ggml_row_size(v->type, kv_size*n_embd_v_gqa),           // v->nb[3]
             ggml_row_size(v->type, kv_size*n_embd_v_gqa)*sinfo.s0);
@@ -1290,7 +1293,7 @@ static void set_input_kq_mask_impl(const args_set_input_kq_mask & args, float *
     }
 
     for (uint32_t s = 0; s < n_stream; ++s) {
-        // bookeeping of the KQ mask cells that could change for other tokens of the same sequence
+        // bookkeeping of the KQ mask cells that could change for other tokens of the same sequence
         std::unordered_map<llama_seq_id, uint32_t>              seq_srct;
         std::unordered_map<llama_seq_id, std::vector<uint32_t>> seq_idxs;
 
@@ -1541,7 +1544,8 @@ ggml_tensor * llama_kv_cache::build_rope_shift(
                 ggml_tensor * shift,
                 ggml_tensor * factors,
                       float   freq_base,
-                      float   freq_scale) const {
+                      float   freq_scale,
+                   uint32_t   il) const {
     const auto & n_ctx_orig = cparams.n_ctx_orig_yarn;
 
     const auto & yarn_ext_factor  = cparams.yarn_ext_factor;
@@ -1549,7 +1553,7 @@ ggml_tensor * llama_kv_cache::build_rope_shift(
     const auto & yarn_beta_slow   = cparams.yarn_beta_slow;
     const auto & yarn_attn_factor = cparams.yarn_attn_factor;
 
-    const auto & n_rot     = hparams.n_rot;
+    const auto & n_rot     = hparams.n_rot(il);
     const auto & rope_type = hparams.rope_type == LLAMA_ROPE_TYPE_MROPE || hparams.rope_type == LLAMA_ROPE_TYPE_IMROPE
                                 // @ngxson : this is a workaround
                                 // for M-RoPE, we want to rotate the whole vector when doing KV shift
@@ -1603,13 +1607,6 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co
     auto * ctx = res->get_ctx();
     auto * gf  = res->get_gf();
 
-    const auto & n_embd_head_k = hparams.n_embd_head_k;
-  //const auto & n_embd_head_v = hparams.n_embd_head_v;
-
-    const auto & n_rot = hparams.n_rot;
-
-    const auto n_embd_nope = hparams.n_lora_kv > 0 ? n_embd_head_k - n_rot : 0;
-
     auto inp = std::make_unique<llm_graph_input_k_shift>(this);
 
     inp->k_shift = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, (int64_t) get_size()*n_stream);
@@ -1623,6 +1620,10 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co
         const int64_t n_head_kv    = hparams.n_head_kv(il);
         const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(il);
 
+        const auto n_rot         = hparams.n_rot(il);
+        const auto n_embd_head_k = hparams.n_embd_head_k(il);
+        const auto n_embd_nope   = hparams.n_lora_kv > 0 ? n_embd_head_k - n_rot : 0;
+
         const float freq_base_l  = model.get_rope_freq_base (cparams, il);
         const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
 
@@ -1635,7 +1636,7 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co
                 ggml_row_size(layer.k->type, n_embd_k_gqa),
                 ggml_row_size(layer.k->type, n_embd_nope));
 
-        ggml_tensor * cur = build_rope_shift(cparams, ctx, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l);
+        ggml_tensor * cur = build_rope_shift(cparams, ctx, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l, il);
 
         ggml_build_forward_expand(gf, cur);
     }
@@ -1757,8 +1758,10 @@ void llama_kv_cache::state_write_meta(llama_io_write_i & io, const cell_ranges_t
             io.write(&pos,      sizeof(pos));
             io.write(&n_seq_id, sizeof(n_seq_id));
 
-            // TODO: we also need to save llama_kv_cell_ext when apply_ubatch() support loading it
-            //       see: https://github.com/ggml-org/llama.cpp/pull/16825#issuecomment-3460868350
+            if (hparams.n_pos_per_embd() > 1) {
+                const llama_kv_cell_ext ext = cells.ext_get(i);
+                io.write(&ext, sizeof(ext));
+            }
 
             for (const auto & seq_id : seq_ids) {
                 io.write(&seq_id, sizeof(seq_id));
@@ -1892,6 +1895,14 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
                 return false;
             }
 
+            if (hparams.n_pos_per_embd() > 1) {
+                llama_kv_cell_ext ext;
+                io.read_to(&ext, sizeof(ext));
+
+                ubatch.pos[i + ubatch.n_tokens]   = ext.y;
+                ubatch.pos[i + ubatch.n_tokens*2] = ext.x;
+            }
+
             // read the sequence id, but directly discard it - we will use dest_seq_id instead
             {
                 llama_seq_id seq_id;
diff --git a/src/llama-kv-cache.h b/src/llama-kv-cache.h
index e194bf3e26f..33c78c5f210 100644
--- a/src/llama-kv-cache.h
+++ b/src/llama-kv-cache.h
@@ -264,7 +264,8 @@ class llama_kv_cache : public llama_memory_i {
                     ggml_tensor * shift,
                     ggml_tensor * factors,
                           float   freq_base,
-                          float   freq_scale) const;
+                          float   freq_scale,
+                       uint32_t   il) const;
 
     ggml_cgraph * build_graph_shift(
                llm_graph_result * res,
diff --git a/src/llama-memory-recurrent.cpp b/src/llama-memory-recurrent.cpp
index f0038036dcb..6e8413f493d 100644
--- a/src/llama-memory-recurrent.cpp
+++ b/src/llama-memory-recurrent.cpp
@@ -163,7 +163,7 @@ bool llama_memory_recurrent::seq_rm(llama_seq_id seq_id, llama_pos p0, llama_pos
             const auto & cell = cells[tail_id];
             // partial intersection is invalid if it includes the final pos
             if (0 < p0 && p0 <= cell.pos && p1 > cell.pos) {
-                //printf("[DEBUG] inside `llama_memory_recurrent::seq_rm`: partial intersection is invalid, so returning false\n");
+                //printf("[DEBUG] inside `llama_memory_recurrent::seq_rm`: partial intersection is invalid, so returning false, p0 = %d, cell.pos = %d, p1 = %d\n", p0, cell.pos, p1);
                 return false;
             }
             // invalidate tails which will be cleared
diff --git a/src/llama-mmap.cpp b/src/llama-mmap.cpp
index 0261e4c72c9..c03228e9ce2 100644
--- a/src/llama-mmap.cpp
+++ b/src/llama-mmap.cpp
@@ -504,6 +504,8 @@ struct llama_mmap::impl {
         }
     }
 #elif defined(_WIN32)
+    HANDLE hMapping = nullptr;
+
     impl(struct llama_file * file, size_t prefetch, bool numa) {
         GGML_UNUSED(numa);
 
@@ -511,7 +513,7 @@ struct llama_mmap::impl {
 
         HANDLE hFile = (HANDLE) _get_osfhandle(file->file_id());
 
-        HANDLE hMapping = CreateFileMappingA(hFile, NULL, PAGE_READONLY, 0, 0, NULL);
+        hMapping = CreateFileMappingA(hFile, NULL, PAGE_READONLY, 0, 0, NULL);
 
         if (hMapping == NULL) {
             DWORD error = GetLastError();
@@ -520,9 +522,9 @@ struct llama_mmap::impl {
 
         addr = MapViewOfFile(hMapping, FILE_MAP_READ, 0, 0, 0);
         DWORD error = GetLastError();
-        CloseHandle(hMapping);
 
         if (addr == NULL) {
+            CloseHandle(hMapping);
             throw std::runtime_error(format("MapViewOfFile failed: %s", llama_format_win_err(error).c_str()));
         }
 
@@ -554,9 +556,17 @@ struct llama_mmap::impl {
     }
 
     ~impl() {
-        if (!UnmapViewOfFile(addr)) {
-            LLAMA_LOG_WARN("warning: UnmapViewOfFile failed: %s\n",
-                    llama_format_win_err(GetLastError()).c_str());
+        if (hMapping) {
+            if (addr) {
+                if (!UnmapViewOfFile(addr)) {
+                    LLAMA_LOG_WARN("warning: UnmapViewOfFile failed: %s\n",
+                            llama_format_win_err(GetLastError()).c_str());
+                }
+            }
+            if (!CloseHandle(hMapping)) {
+                LLAMA_LOG_WARN("warning: CloseHandle failed: %s\n",
+                        llama_format_win_err(GetLastError()).c_str());
+            }
         }
     }
 #else
diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp
index 1501e392ca8..413f34c2268 100644
--- a/src/llama-model-loader.cpp
+++ b/src/llama-model-loader.cpp
@@ -1,12 +1,17 @@
 #include "llama-model-loader.h"
 
+#include "ggml-alloc.h"
 #include "ggml.h"
+#include "gguf.h"
+#include "llama-hparams.h"
 
 #include <algorithm>
 #include <array>
 #include <cinttypes>
+#include <cstdint>
 #include <cstring>
 #include <future>
+#include <regex>
 
 static const size_t kiB = 1024;
 static const size_t MiB = 1024*kiB;
@@ -37,6 +42,7 @@ static std::string llama_model_ftype_name(llama_ftype ftype) {
         case LLAMA_FTYPE_MOSTLY_Q5_1:     return "Q5_1";
         case LLAMA_FTYPE_MOSTLY_Q8_0:     return "Q8_0";
         case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return "MXFP4 MoE";
+        case LLAMA_FTYPE_MOSTLY_NVFP4:    return "NVFP4";
         case LLAMA_FTYPE_MOSTLY_Q2_K:     return "Q2_K - Medium";
         case LLAMA_FTYPE_MOSTLY_Q2_K_S:   return "Q2_K - Small";
         case LLAMA_FTYPE_MOSTLY_Q3_K_S:   return "Q3_K - Small";
@@ -263,7 +269,7 @@ namespace GGUFMeta {
     template<typename T>
     typename std::enable_if<std::is_integral<T>::value, bool>::type
     llama_model_loader::get_arr_n(const std::string & key, T & result, bool required) {
-        const int kid = gguf_find_key(meta.get(), key.c_str());
+        const int kid = gguf_find_key(metadata, key.c_str());
 
         if (kid < 0) {
             if (required) {
@@ -273,7 +279,7 @@ namespace GGUFMeta {
         }
 
         struct GGUFMeta::ArrayInfo arr_info =
-            GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(meta.get(), kid);
+            GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(metadata, kid);
 
 
         result = arr_info.length;
@@ -290,7 +296,7 @@ namespace GGUFMeta {
 
     template<typename T>
     bool llama_model_loader::get_arr(const std::string & key, std::vector<T> & result, bool required) {
-        const gguf_context * ctx = meta.get();
+        const gguf_context * ctx = metadata;
         const int kid = gguf_find_key(ctx, key.c_str());
 
         if (kid < 0 || gguf_get_kv_type(ctx, kid) != GGUF_TYPE_ARRAY) {
@@ -331,7 +337,7 @@ namespace GGUFMeta {
 
     template<typename T, size_t N_MAX>
     bool llama_model_loader::get_arr(const std::string & key, std::array<T, N_MAX> & result, bool required) {
-        const gguf_context * ctx = meta.get();
+        const gguf_context * ctx = metadata;
         const int kid = gguf_find_key(ctx, key.c_str());
 
         if (kid < 0 || gguf_get_kv_type(ctx, kid) != GGUF_TYPE_ARRAY) {
@@ -393,7 +399,7 @@ namespace GGUFMeta {
         const struct llama_model_kv_override * override =
             it != kv_overrides.end() ? &it->second : nullptr;
 
-        const bool found = GGUFMeta::GKV<T>::set(meta.get(), key, result, override);
+        const bool found = GGUFMeta::GKV<T>::set(metadata, key, result, override);
 
         if (required && !found) {
             throw std::runtime_error(format("key not found in model: %s", key.c_str()));
@@ -427,7 +433,7 @@ namespace GGUFMeta {
     // get array of n <= N_MAX elements, or a single element repeated n times
     template<typename T, size_t N_MAX>
     bool llama_model_loader::get_key_or_arr(const std::string & key, std::array<T, N_MAX> & result, uint32_t n, bool required) {
-        const int kid = gguf_find_key(meta.get(), key.c_str());
+        const int kid = gguf_find_key(metadata, key.c_str());
 
         if (kid < 0) {
             if (required) {
@@ -440,9 +446,9 @@ namespace GGUFMeta {
             throw std::runtime_error(format("n > N_MAX: %u > %u for key %s", (uint32_t) n, (uint32_t) N_MAX, key.c_str()));
         }
 
-        if (gguf_get_kv_type(meta.get(), kid) == GGUF_TYPE_ARRAY) {
+        if (gguf_get_kv_type(metadata, kid) == GGUF_TYPE_ARRAY) {
             struct GGUFMeta::ArrayInfo arr_info =
-                GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(meta.get(), kid);
+                GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(metadata, kid);
 
             if (n != arr_info.length) {
                 throw std::runtime_error(format("key %s has wrong array length; expected %u, got %u", key.c_str(), n, (uint32_t) arr_info.length));
@@ -473,7 +479,7 @@ namespace GGUFMeta {
     bool llama_model_loader::get_key_or_arr(enum llm_kv kid, uint32_t & result, bool required) {
         const std::string key = llm_kv(kid);
 
-        const int id = gguf_find_key(meta.get(), key.c_str());
+        const int id = gguf_find_key(metadata, key.c_str());
 
         if (id < 0) {
             if (required) {
@@ -483,7 +489,7 @@ namespace GGUFMeta {
         }
 
         // throw and error if type is an array
-        if (gguf_get_kv_type(meta.get(), id) == GGUF_TYPE_ARRAY) {
+        if (gguf_get_kv_type(metadata, id) == GGUF_TYPE_ARRAY) {
             if (required) {
                 throw std::runtime_error(format("expected scalar, found array for key: %s", key.c_str()));
             }
@@ -500,6 +506,9 @@ namespace GGUFMeta {
 
 
 llama_model_loader::llama_model_loader(
+        struct gguf_context * meta,
+        llama_model_set_tensor_data_t set_tensor_data,
+        void * set_tensor_data_ud,
         const std::string & fname,
         std::vector<std::string> & splits,
         bool use_mmap,
@@ -507,7 +516,8 @@ llama_model_loader::llama_model_loader(
         bool check_tensors,
         bool no_alloc,
         const llama_model_kv_override * param_overrides_p,
-        const llama_model_tensor_buft_override * param_tensor_buft_overrides_p) {
+        const llama_model_tensor_buft_override * param_tensor_buft_overrides_p)
+        : metadata(meta), set_tensor_data(set_tensor_data), set_tensor_data_ud(set_tensor_data_ud) {
     int trace = 0;
     if (getenv("LLAMA_TRACE")) {
         trace = atoi(getenv("LLAMA_TRACE"));
@@ -521,136 +531,142 @@ llama_model_loader::llama_model_loader(
 
     tensor_buft_overrides = param_tensor_buft_overrides_p;
 
-    // Load the main GGUF
-    struct ggml_context * ctx = NULL;
-    struct gguf_init_params params = {
-        /*.no_alloc = */ true,
-        /*.ctx      = */ &ctx,
-    };
-
-    meta.reset(gguf_init_from_file(fname.c_str(), params));
-    if (!meta) {
-        throw std::runtime_error(format("%s: failed to load model from %s", __func__, fname.c_str()));
-    }
-
-    get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false);
-    llm_kv = LLM_KV(llm_arch_from_string(arch_name));
-
-    files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io));
-    contexts.emplace_back(ctx);
+    if (!fname.empty()) {
+        // Load the main GGUF
+        struct ggml_context * ctx = NULL;
+        struct gguf_init_params params = {
+            /*.no_alloc = */ true,
+            /*.ctx      = */ &ctx,
+        };
 
-    if (use_mmap && use_direct_io) {
-        if (files.back()->has_direct_io()) {
-            LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__);
-            use_mmap = false;
-        } else {
-            LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__);
-            use_direct_io = false;
-
-            // reopen file using std::fopen for mmap
-            files.pop_back();
-            files.emplace_back(new llama_file(fname.c_str(), "rb", false));
+        metadata_ptr.reset(gguf_init_from_file(fname.c_str(), params));
+        metadata = metadata_ptr.get();
+        if (metadata == nullptr) {
+            throw std::runtime_error(format("%s: failed to load model from %s", __func__, fname.c_str()));
         }
-    }
 
-    // Save tensors data offset of the main file.
-    // For subsidiary files, `meta` tensor data offset must not be used,
-    // so we build a unified tensors index for weights.
-    for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
-        std::string tensor_name = std::string(cur->name);
-        // make sure there is no duplicated tensor names
-        if (weights_map.find(tensor_name) != weights_map.end()) {
-            throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
-        }
-        n_elements += ggml_nelements(cur);
-        n_bytes    += ggml_nbytes(cur);
-        weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, meta.get(), cur));
-    }
-    uint16_t n_split = 0;
-    get_key(llm_kv(LLM_KV_SPLIT_COUNT), n_split, false);
+        get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false);
+        llm_kv = LLM_KV(llm_arch_from_string(arch_name));
 
-    // Load additional GGML contexts
-    if (n_split > 1) {
-        // make sure the main file is loaded first
-        uint16_t idx = 0;
-        const std::string kv_split_no = llm_kv(LLM_KV_SPLIT_NO);
-        get_key(kv_split_no, idx);
-        if (idx != 0) {
-            throw std::runtime_error(format("illegal split file idx: %d (file: %s), model must be loaded with the first split", idx, fname.c_str()));
-        }
+        files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io));
+        contexts.emplace_back(ctx);
 
-        // generate list of splits if needed
-        if (splits.empty()) {
-            splits = llama_get_list_splits(fname, idx, n_split);
-        }
+        if (use_mmap && use_direct_io) {
+            if (files.back()->has_direct_io()) {
+                LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__);
+                use_mmap = false;
+            } else {
+                LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__);
+                use_direct_io = false;
 
-        // in case user give a custom list of splits, check if it matches the expected number
-        if (n_split != (uint16_t)splits.size()) {
-            throw std::runtime_error(format("invalid split count, given: %zu splits, but expected %d", splits.size(), n_split));
+                // reopen file using std::fopen for mmap
+                files.pop_back();
+                files.emplace_back(new llama_file(fname.c_str(), "rb", false));
+            }
         }
 
-        if (trace > 0) {
-            LLAMA_LOG_INFO("%s: loading additional %d GGUFs\n", __func__, n_split);
-        }
+        // Save tensors data offset of the main file.
+        // For subsidiary files, `meta` tensor data offset must not be used,
+        // so we build a unified tensors index for weights.
+        for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
+            std::string tensor_name = std::string(cur->name);
+            // make sure there is no duplicated tensor names
+            if (weights_map.find(tensor_name) != weights_map.end()) {
+                throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
+            }
+            n_elements += ggml_nelements(cur);
+            n_bytes    += ggml_nbytes(cur);
+            weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, metadata, cur));
+        }
+        uint16_t n_split = 0;
+        get_key(llm_kv(LLM_KV_SPLIT_COUNT), n_split, false);
+
+        // Load additional GGML contexts
+        if (n_split > 1) {
+            // make sure the main file is loaded first
+            uint16_t idx = 0;
+            const std::string kv_split_no = llm_kv(LLM_KV_SPLIT_NO);
+            get_key(kv_split_no, idx);
+            if (idx != 0) {
+                throw std::runtime_error(format("illegal split file idx: %d (file: %s), model must be loaded with the first split", idx, fname.c_str()));
+            }
 
-        // load other splits
-        for (idx = 1; idx < n_split; idx++) {
-            const char * fname_split = splits[idx].c_str();
+            // generate list of splits if needed
+            if (splits.empty()) {
+                splits = llama_get_list_splits(fname, idx, n_split);
+            }
 
-            struct gguf_init_params split_params = {
-                /*.no_alloc = */ true,
-                /*.ctx      = */ &ctx,
-            };
-            gguf_context_ptr ctx_gguf { gguf_init_from_file(fname_split, split_params) };
-            if (!ctx_gguf) {
-                throw std::runtime_error(format("%s: failed to load GGUF split from %s", __func__, fname_split));
+            // in case user give a custom list of splits, check if it matches the expected number
+            if (n_split != (uint16_t)splits.size()) {
+                throw std::runtime_error(format("invalid split count, given: %zu splits, but expected %d", splits.size(), n_split));
             }
 
-            // check idx
-            {
-                const int kid = gguf_find_key(ctx_gguf.get(), kv_split_no.c_str());
-                if (kid < 0) {
-                    throw std::runtime_error(format("missing key %s in GGUF split %s", kv_split_no.c_str(), fname_split));
+            if (trace > 0) {
+                LLAMA_LOG_INFO("%s: loading additional %d GGUFs\n", __func__, n_split);
+            }
+
+            // load other splits
+            for (idx = 1; idx < n_split; idx++) {
+                const char * fname_split = splits[idx].c_str();
+
+                struct gguf_init_params split_params = {
+                    /*.no_alloc = */ true,
+                    /*.ctx      = */ &ctx,
+                };
+                gguf_context_ptr ctx_gguf { gguf_init_from_file(fname_split, split_params) };
+                if (!ctx_gguf) {
+                    throw std::runtime_error(format("%s: failed to load GGUF split from %s", __func__, fname_split));
                 }
-                int idx_gguf = gguf_get_val_u16(ctx_gguf.get(), kid);
-                if (idx_gguf != idx) {
-                    throw std::runtime_error(format("invalid split file idx: %d (file: %s), expected %d", idx_gguf, fname_split, idx));
+
+                // check idx
+                {
+                    const int kid = gguf_find_key(ctx_gguf.get(), kv_split_no.c_str());
+                    if (kid < 0) {
+                        throw std::runtime_error(format("missing key %s in GGUF split %s", kv_split_no.c_str(), fname_split));
+                    }
+                    int idx_gguf = gguf_get_val_u16(ctx_gguf.get(), kid);
+                    if (idx_gguf != idx) {
+                        throw std::runtime_error(format("invalid split file idx: %d (file: %s), expected %d", idx_gguf, fname_split, idx));
+                    }
                 }
-            }
 
-            files.emplace_back(new llama_file(fname_split, "rb", use_direct_io));
-            contexts.emplace_back(ctx);
+                files.emplace_back(new llama_file(fname_split, "rb", use_direct_io));
+                contexts.emplace_back(ctx);
 
-            // Save tensors data offset info of the shard.
-            for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
-                std::string tensor_name = std::string(cur->name);
-                // make sure there is no duplicated tensor names
-                if (weights_map.find(tensor_name) != weights_map.end()) {
-                    throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
+                // Save tensors data offset info of the shard.
+                for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
+                    std::string tensor_name = std::string(cur->name);
+                    // make sure there is no duplicated tensor names
+                    if (weights_map.find(tensor_name) != weights_map.end()) {
+                        throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
+                    }
+                    n_elements += ggml_nelements(cur);
+                    n_bytes    += ggml_nbytes(cur);
+                    weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), idx, ctx_gguf.get(), cur));
                 }
-                n_elements += ggml_nelements(cur);
-                n_bytes    += ggml_nbytes(cur);
-                weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), idx, ctx_gguf.get(), cur));
             }
-        }
 
-        get_key(llm_kv(LLM_KV_SPLIT_TENSORS_COUNT), n_tensors);
+            get_key(llm_kv(LLM_KV_SPLIT_TENSORS_COUNT), n_tensors);
 
-        // sanity check
-        {
-            const int n_tensors_loaded = (int) weights_map.size();
-            if (n_tensors != n_tensors_loaded) {
-                throw std::runtime_error(format("corrupted model: %d tensors expected but %d found", n_tensors, n_tensors_loaded));
+            // sanity check
+            {
+                const int n_tensors_loaded = (int) weights_map.size();
+                if (n_tensors != n_tensors_loaded) {
+                    throw std::runtime_error(format("corrupted model: %d tensors expected but %d found", n_tensors, n_tensors_loaded));
+                }
             }
-        }
 
-        LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n",  __func__, n_split - 1);
+            LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n",  __func__, n_split - 1);
+        }
+    } else {
+        get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false);
+        llm_kv = LLM_KV(llm_arch_from_string(arch_name));
     }
 
-    n_kv      = gguf_get_n_kv(meta.get());
+    n_kv      = gguf_get_n_kv(metadata);
     n_tensors = weights_map.size();
 
-    fver = (enum llama_fver) gguf_get_version(meta.get());
+    fver = (enum llama_fver) gguf_get_version(metadata);
 
     LLAMA_LOG_INFO("%s: loaded meta data with %d key-value pairs and %d tensors from %s (version %s)\n",
             __func__, n_kv, n_tensors, fname.c_str(), llama_file_version_name(fver));
@@ -709,6 +725,7 @@ llama_model_loader::llama_model_loader(
             case GGML_TYPE_IQ4_NL:  ftype = LLAMA_FTYPE_MOSTLY_IQ4_NL;  break;
             case GGML_TYPE_IQ4_XS:  ftype = LLAMA_FTYPE_MOSTLY_IQ4_XS;  break;
             case GGML_TYPE_IQ3_S:   ftype = LLAMA_FTYPE_MOSTLY_IQ3_S;   break;
+            case GGML_TYPE_NVFP4:   ftype = LLAMA_FTYPE_MOSTLY_NVFP4;   break;
             default:
                 {
                     LLAMA_LOG_WARN("%s: unknown type %s\n", __func__, ggml_type_name(type_max));
@@ -729,14 +746,14 @@ llama_model_loader::llama_model_loader(
         LLAMA_LOG_INFO("%s: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n", __func__);
 
         for (int i = 0; i < n_kv; i++) {
-            const char * name           = gguf_get_key(meta.get(), i);
-            const enum gguf_type type   = gguf_get_kv_type(meta.get(), i);
+            const char * name           = gguf_get_key(metadata, i);
+            const enum gguf_type type   = gguf_get_kv_type(metadata, i);
             const std::string type_name =
                 type == GGUF_TYPE_ARRAY
-                ? format("%s[%s,%zu]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(meta.get(), i)), gguf_get_arr_n(meta.get(), i))
+                ? format("%s[%s,%zu]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(metadata, i)), gguf_get_arr_n(metadata, i))
                 : gguf_type_name(type);
 
-            std::string value          = gguf_kv_to_str(meta.get(), i);
+            std::string value          = gguf_kv_to_str(metadata, i);
             const size_t MAX_VALUE_LEN = 40;
             if (value.size() > MAX_VALUE_LEN) {
                 value = format("%s...", value.substr(0, MAX_VALUE_LEN - 3).c_str());
@@ -838,15 +855,382 @@ const struct ggml_tensor * llama_model_loader::check_tensor_dims(const std::stri
     return cur;
 }
 
-struct ggml_tensor * llama_model_loader::create_tensor(struct ggml_context * ctx, const std::string & name, const std::initializer_list<int64_t> & ne, int flags) {
-    LLAMA_LOG_DEBUG("%s: loading tensor %s\n", __func__, name.c_str());
-    const struct ggml_tensor * cur = check_tensor_dims(name, ne, !(flags & TENSOR_NOT_REQUIRED));
+// checks if the weight tensor can be used with the specified buffer type and device
+static bool weight_buft_supported(const llama_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) {
+    GGML_ASSERT(w != nullptr);
+
+    if (op == GGML_OP_NONE) {
+        return true;
+    }
+
+    ggml_init_params params = {
+        /*.mem_size   =*/ ggml_tensor_overhead()*8,
+        /*.mem_buffer =*/ NULL,
+        /*.no_alloc   =*/ true,
+    };
+    ggml_context_ptr ctx_ptr { ggml_init(params) };
+    if (!ctx_ptr) {
+        throw std::runtime_error(format("failed to create ggml context"));
+    }
+    ggml_context * ctx = ctx_ptr.get();
+
+    ggml_tensor * op_tensor = nullptr;
+
+    switch (op) {
+        case GGML_OP_GET_ROWS:
+            {
+                ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512);
+                op_tensor = ggml_get_rows(ctx, w, b);
+            } break;
+        case GGML_OP_MUL_MAT:
+            {
+                ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], 512, w->ne[2], w->ne[3]);
+                op_tensor = ggml_mul_mat(ctx, w, b);
+            } break;
+        case GGML_OP_MUL_MAT_ID:
+            {
+                const int n_expert_used = hparams.n_expert_used;
+                GGML_ASSERT(n_expert_used > 0);
+                ggml_tensor * b = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512);
+                ggml_tensor * ids = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512);
+                op_tensor = ggml_mul_mat_id(ctx, w, b, ids);
+            } break;
+        case GGML_OP_ADD:
+            {
+                ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]);
+                op_tensor = ggml_add(ctx, a, w);
+            } break;
+        case GGML_OP_ADD_ID:
+            {
+                const int n_expert_used = hparams.n_expert_used;
+                GGML_ASSERT(n_expert_used > 0);
+                ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512);
+                ggml_tensor * c = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512);
+                op_tensor = ggml_add_id(ctx, a, w, c);
+            } break;
+        case GGML_OP_MUL:
+            {
+                ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]);
+                op_tensor = ggml_mul(ctx, a, w);
+            } break;
+        case GGML_OP_DIV:
+            {
+                ggml_tensor * a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, w->ne[0]);
+                op_tensor = ggml_div(ctx, a, w);
+            } break;
+        case GGML_OP_ROPE:
+            {
+                const int n_embd_head = hparams.n_embd_head_v();
+                const int n_head = hparams.n_head();
+                ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, 512);
+                ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512);
+                op_tensor = ggml_rope_ext(
+                    ctx, a, b, w,
+                    0, 0, 0, 0, 0,
+                    0, 0, 0, 0
+                );
+
+            } break;
+        case GGML_OP_SSM_CONV:
+            {
+                const int64_t n_seq_tokens = 512;
+                const int64_t n_seqs       = 3;
+                ggml_tensor * conv_x = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0] - 1 + n_seq_tokens, w->ne[1], n_seqs);
+                op_tensor = ggml_ssm_conv(ctx, conv_x, w);
+            } break;
+        case GGML_OP_SSM_SCAN:
+            {
+                // w is ssm_a, which is used to distinguish Mamba-1 and Mamba-2
+                const int64_t d_state      = w->ne[0] == 1 ? hparams.ssm_d_state : w->ne[0];
+                const int64_t n_head       = w->ne[1];
+                const int64_t head_dim     = hparams.ssm_d_inner / n_head;
+                const int64_t n_group      = hparams.ssm_n_group ? hparams.ssm_n_group : 1;
+                const int64_t n_seq_tokens = 512;
+                const int64_t n_seqs       = 3;
+                ggml_tensor * s   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, head_dim, n_head, n_seqs);
+                ggml_tensor * x   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, head_dim, n_head, n_seq_tokens, n_seqs);
+                ggml_tensor * dt  = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_head, n_seq_tokens, n_seqs);
+                ggml_tensor * B   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs);
+                ggml_tensor * C   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs);
+                ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_seqs);
+                op_tensor = ggml_ssm_scan(ctx, s, x, dt, w, B, C, ids);
+            } break;
+        case GGML_OP_RWKV_WKV6:
+            {
+                // FIXME
+                const int64_t S = 123;
+                const int64_t H = 123;
+                const int64_t n_tokens = 123;
+                const int64_t n_seqs = 123;
+                ggml_tensor  * k = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
+                ggml_tensor  * v = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
+                ggml_tensor  * r = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
+                ggml_tensor  * tf = w;
+                ggml_tensor  * td = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
+                ggml_tensor  * state = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, S, n_seqs, S, H);
+                op_tensor = ggml_rwkv_wkv6(ctx, k, v, r, tf, td, state);
+            } break;
+        case GGML_OP_IM2COL:
+            {
+                const int n_embd_inp = hparams.n_embd_inp();
+                ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_embd_inp, w->ne[1], 1, 1);
+                op_tensor = ggml_im2col(ctx, w, b, 1, 0, 0, 0, 1, 0, false, GGML_TYPE_F16);
+            } break;
+        case GGML_OP_SCALE:
+            {
+                op_tensor = ggml_scale(ctx, w, 1.0f);
+            } break;
+        default:
+            GGML_ABORT("%s: missing test for op %s for tensor %s", __func__, ggml_op_name(op), w->name);
+    }
+
+    // create a temporary dummy buffer for the weight so that supports_op can check the buffer type
+    GGML_ASSERT(w->buffer == nullptr);
+    w->buffer = ggml_backend_buft_alloc_buffer(buft, 0);
+    bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor);
+    ggml_backend_buffer_free(w->buffer);
+    w->buffer = nullptr;
+
+    return op_supported;
+}
+
+// find the first buffer type in the list that can use the tensor
+static ggml_backend_buffer_type_t select_weight_buft(const llama_hparams & hparams, ggml_tensor * tensor, ggml_op op, const buft_list_t * buft_list) {
+    GGML_ASSERT(!buft_list->empty());
+    for (const auto & cur : *buft_list) {
+        ggml_backend_dev_t cur_dev = cur.first;
+        ggml_backend_buffer_type_t cur_buft = cur.second;
+        if (weight_buft_supported(hparams, tensor, op, cur_buft, cur_dev)) {
+            return cur_buft;
+        }
+    }
+
+    return nullptr;
+}
+
+struct ggml_tensor * llama_model_loader::create_tensor(
+        const llama_hparams & hparams, const buft_list_t * buft_list_cpu, const buft_list_t * buft_list_input, const buft_list_t * buft_list_output,
+        const buft_list_t * buft_list_layer, const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags) {
+    auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * {
+        auto it = ctx_map.find(buft);
+        if (it == ctx_map.end()) {
+            // one ggml context per buffer type
+            int max_n_tensors = n_tensors;
+            max_n_tensors += 1;                 // duplicated output tensor
+            max_n_tensors += hparams.n_layer*2; // duplicated rope freq tensors
+            if (files.empty()) {
+                max_n_tensors += hparams.n_layer*256; // this should be well above what any model actually uses
+            }
+            const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors;
+
+            ggml_init_params params = {
+                /*.mem_size   =*/ ctx_size,
+                /*.mem_buffer =*/ NULL,
+                /*.no_alloc   =*/ true,
+            };
+
+            ggml_context * ctx = ggml_init(params);
+            if (!ctx) {
+                throw std::runtime_error(format("failed to create ggml context"));
+            }
+
+            ctx_map.emplace(buft, ctx);
+
+            return ctx;
+        }
+        return it->second.get();
+    };
+
+    auto buft_for_tensor = [&](ggml_tensor * t_meta) -> ggml_backend_buffer_type_t {
+        if (!t_meta) {
+            if (flags & TENSOR_NOT_REQUIRED) {
+                return nullptr;
+            }
+            throw std::runtime_error(format("missing tensor '%s'", tn.str().c_str()));
+        }
+
+        // some models use the token embedding tensor as the output, but since these are used in different layers and with different ops
+        // the tensor is duplicated
+        // to handle this, we check if the tensor is duplicated, and if so, we assume that it is being loaded as the output tensor
+        llm_tensor tn_tensor = tn.tensor;
+        if (tn.tensor == LLM_TENSOR_TOKEN_EMBD && (flags & TENSOR_DUPLICATED)) {
+            tn_tensor = LLM_TENSOR_OUTPUT;
+        }
+
+        llm_tensor_info info;
+        try {
+            info = llm_tensor_info_for(tn_tensor);
+        } catch (const std::out_of_range & e) {
+            throw std::runtime_error(format("missing tensor info mapping for %s", tn.str().c_str()));
+        }
+
+        // skip unused tensors
+        if (info.op == GGML_OP_NONE || (flags & TENSOR_SKIP)) {
+            const size_t nbytes = ggml_nbytes(t_meta);
+            LLAMA_LOG_WARN("model has unused tensor %s (size = %zu bytes) -- ignoring\n", tn.str().c_str(), nbytes);
+
+            size_data -= nbytes;
+            n_created++;
+
+            return nullptr;
+        }
+
+        // tensors with "bias" suffix are always used with GGML_OP_ADD or GGML_OP_ADD_ID
+        ggml_op op;
+        bool bias = tn.suffix != nullptr && strcmp(tn.suffix, "bias") == 0;
+        if (bias) {
+            if (info.op == GGML_OP_MUL_MAT_ID) {
+                op = GGML_OP_ADD_ID;
+            } else {
+                op = GGML_OP_ADD;
+            }
+        } else {
+            op = info.op;
+        }
+
+        // sanity checks
+        if (info.layer == LLM_TENSOR_LAYER_INPUT || info.layer == LLM_TENSOR_LAYER_OUTPUT) {
+            if (tn.bid != -1) {
+                GGML_ABORT("input/output layer tensor %s used with a layer number", tn.str().c_str());
+            }
+        } else {
+            if (tn.bid == -1) {
+                GGML_ABORT("repeating layer tensor %s used without a layer number", tn.str().c_str());
+            }
+        }
+
+        // select the buffer type for this tensor
+        const buft_list_t * buft_list;
+        switch (info.layer) {
+            case LLM_TENSOR_LAYER_INPUT:
+                buft_list = buft_list_input;
+                break;
+            case LLM_TENSOR_LAYER_OUTPUT:
+                buft_list = buft_list_output;
+                break;
+            case LLM_TENSOR_LAYER_REPEATING:
+                GGML_ASSERT(buft_list_layer != nullptr);
+                buft_list = buft_list_layer;
+                break;
+            default:
+                GGML_ABORT("invalid layer %d for tensor %s", info.layer, tn.str().c_str());
+        }
+
+        ggml_backend_buffer_type_t buft = nullptr;
+
+        // check overrides
+        if (tensor_buft_overrides) {
+            std::string tensor_name = tn.str();
+            for (const auto * overrides = tensor_buft_overrides; overrides->pattern != nullptr; ++overrides) {
+                std::regex pattern(overrides->pattern);
+                if (std::regex_search(tensor_name, pattern)) {
+                    if (overrides->buft == ggml_backend_cpu_buffer_type()) {
+                        // when overriding to a CPU buffer, consider the extra buffer types
+                        buft = select_weight_buft(hparams, t_meta, op, buft_list_cpu);
+                    } else {
+                        buft = overrides->buft;
+                    }
+
+                    LLAMA_LOG_DEBUG("tensor %s (%zu MiB %s) buffer type overridden to %s\n",
+                            tensor_name.c_str(),
+                            ggml_nbytes(t_meta) / 1024 / 1024, ggml_type_name(t_meta->type),
+                            ggml_backend_buft_name(buft));
+                    break;
+                }
+            }
+        }
+
+        if (!buft) {
+            buft = select_weight_buft(hparams, t_meta, op, buft_list);
+            if (!buft) {
+                throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", tn.str().c_str()));
+            }
+        }
+
+        // avoid using a host buffer when using mmap
+        auto * buft_dev = ggml_backend_buft_get_device(buft);
+        if (use_mmap && buft_dev && buft == ggml_backend_dev_host_buffer_type(buft_dev)) {
+            auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
+            if (!cpu_dev) {
+                throw std::runtime_error("no CPU backend found");
+            }
+            buft = ggml_backend_dev_buffer_type(cpu_dev);
+        }
+
+        if (buft != buft_list->front().second) {
+            if (n_tensors_moved == 0) {
+                first_tensor_moved_name = t_meta->name;
+                first_tensor_moved_type_name = ggml_type_name(t_meta->type);
+                first_moved_from_buft = buft_list->front().second;
+                first_moved_to_buft   = buft;
+            }
+            n_tensors_moved++;
+        }
+
+        return buft;
+    };
+
+    if (files.empty()) {
+        if (flags & TENSOR_SKIP_IF_VIRTUAL) {
+            return nullptr;
+        }
+        ggml_type type = GGML_TYPE_F32;
+        const int64_t tid = gguf_find_tensor(metadata, tn.str().c_str());
+        if (tid != -1) {
+            type = gguf_get_tensor_type(metadata, tid);
+        }
+
+        // for tensors that are not required some of the dimensions can be invalid:
+        if (flags & TENSOR_NOT_REQUIRED) {
+            for (size_t dim = 0; dim < ne.size(); dim++) {
+                if (ne.begin()[dim] <= 0) {
+                    return nullptr;
+                }
+            }
+        }
+
+        ggml_tensor t_meta;
+        memset(&t_meta, 0, sizeof(ggml_tensor));
+        t_meta.type = type;
+        for (size_t dim = 0; dim < GGML_MAX_DIMS; dim++) {
+            t_meta.ne[dim] = dim < ne.size() ? ne.begin()[dim] : 1;
+            GGML_ASSERT(t_meta.ne[dim] >= 1);
+            t_meta.nb[dim] = dim == 0 ? ggml_type_size(type) : t_meta.ne[dim-1]*t_meta.nb[dim-1];
+            GGML_ASSERT(t_meta.nb[dim] >= 1);
+        }
+        ggml_set_name(&t_meta, tn.str().c_str());
+
+        ggml_backend_buffer_type_t buft = buft_for_tensor(&t_meta);
+        GGML_ASSERT(buft != nullptr);
+        ggml_context * ctx = ctx_for_buft(buft);
+        ggml_tensor * ret = ggml_dup_tensor(ctx, &t_meta);
+        ggml_set_name(ret, tn.str().c_str());
+        return ret;
+    }
+
+    ggml_tensor * t_meta = get_tensor_meta(tn.str().c_str());
+    ggml_backend_buffer_type_t buft = buft_for_tensor(t_meta);
+    if (buft == nullptr) {
+        return nullptr; // return type is ggml_tensor *
+    }
+    ggml_context * ctx = ctx_for_buft(buft);
+
+    // if duplicated, check if the original tensor was allocated in the same buffer type context and avoid creating a new one
+    if (flags & TENSOR_DUPLICATED) {
+        ggml_tensor * t = ggml_get_tensor(ctx, tn.str().c_str());
+        if (t) {
+            return t;
+        }
+    }
+
+    LLAMA_LOG_DEBUG("%s: loading tensor %s\n", __func__, tn.str().c_str());
+    const struct ggml_tensor * cur = check_tensor_dims(tn.str(), ne, !(flags & TENSOR_NOT_REQUIRED));
 
     if (cur == NULL) {
         return NULL;
     }
 
-    bool duplicated = flags & TENSOR_DUPLICATED;
+    const bool duplicated = flags & TENSOR_DUPLICATED;
 
     struct ggml_tensor * tensor = ggml_dup_tensor(ctx, cur);
     ggml_set_name(tensor, ggml_get_name(cur));
@@ -858,7 +1242,6 @@ struct ggml_tensor * llama_model_loader::create_tensor(struct ggml_context * ctx
     }
 
     return tensor;
-
 }
 
 struct ggml_tensor * llama_model_loader::create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::initializer_list<int64_t> & ne, size_t offset, bool required) {
@@ -893,6 +1276,11 @@ void llama_model_loader::done_getting_tensors() const {
     if (n_created != n_tensors) {
         throw std::runtime_error(format("%s: wrong number of tensors; expected %d, got %d", __func__, n_tensors, n_created));
     }
+    if (n_tensors_moved > 0) {
+        LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %zu others) cannot be used with preferred buffer type %s, using %s instead\n",
+            __func__, first_tensor_moved_name.c_str(), first_tensor_moved_type_name.c_str(), n_tensors_moved - 1,
+            ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft));
+    }
 }
 
 void llama_model_loader::init_mappings(bool prefetch, llama_mlocks * mlock_mmaps) {
@@ -974,6 +1362,12 @@ bool llama_model_loader::load_all_data(
         llama_mlocks * lmlocks,
         llama_progress_callback progress_callback,
         void * progress_callback_user_data) {
+    if (files.empty()) {
+        for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) {
+            set_tensor_data(t, set_tensor_data_ud);
+        }
+        return true;
+    }
     GGML_ASSERT(size_data != 0 && "call init_mappings() first");
 
     std::vector<no_init<uint8_t>> read_buf;
diff --git a/src/llama-model-loader.h b/src/llama-model-loader.h
index 65953dd3d5a..ed5de729caf 100644
--- a/src/llama-model-loader.h
+++ b/src/llama-model-loader.h
@@ -4,17 +4,22 @@
 
 #include "llama-impl.h"
 #include "llama-arch.h"
+#include "llama-hparams.h"
 #include "llama-mmap.h"
 
 #include "ggml-cpp.h"
 
 #include <cstddef>
+#include <cstring>
 #include <map>
 #include <stdexcept>
 #include <unordered_map>
 
 using llama_buf_map = std::unordered_map<uint32_t, ggml_backend_buffer_t>;
 
+// lists of buffer types used for each layer
+using buft_list_t = std::vector<std::pair<ggml_backend_dev_t, ggml_backend_buffer_type_t>>;
+
 enum llama_fver {
     GGUF_FILE_VERSION_V1 = 1,
     GGUF_FILE_VERSION_V2 = 2,
@@ -58,9 +63,10 @@ struct llama_model_loader {
         }
     };
 
-    static const int TENSOR_NOT_REQUIRED = 1 << 0;
-    static const int TENSOR_DUPLICATED   = 1 << 1;
-    static const int TENSOR_SKIP         = 1 << 2;
+    static const int TENSOR_NOT_REQUIRED    = 1 << 0;
+    static const int TENSOR_DUPLICATED      = 1 << 1;
+    static const int TENSOR_SKIP            = 1 << 2;
+    static const int TENSOR_SKIP_IF_VIRTUAL = 1 << 3;
 
     int n_kv      = 0;
     int n_tensors = 0;
@@ -84,7 +90,10 @@ struct llama_model_loader {
     std::unordered_map<std::string, llama_model_kv_override> kv_overrides;
     const llama_model_tensor_buft_override * tensor_buft_overrides;
 
-    gguf_context_ptr meta;
+    gguf_context_ptr metadata_ptr;
+    struct gguf_context * metadata; // either metadata_ptr.get() or externally set
+    llama_model_set_tensor_data_t set_tensor_data;
+    void * set_tensor_data_ud;
     std::vector<ggml_context_ptr> contexts;
 
     std::string arch_name;
@@ -94,7 +103,26 @@ struct llama_model_loader {
     size_t size_data = 0;
     std::vector<std::pair<size_t, size_t>> mmaps_used;
 
+    // define a comparator for the buft -> ctx map to ensure that the order is well-defined:
+    struct ggml_backend_buft_comparator {
+        bool operator()(const ggml_backend_buffer_type_t & lhs, const ggml_backend_buffer_type_t & rhs) const {
+            return strcmp(ggml_backend_buft_name(lhs), ggml_backend_buft_name(rhs)) < 0;
+        }
+    };
+
+    std::map<ggml_backend_buffer_type_t, ggml_context_ptr, ggml_backend_buft_comparator> ctx_map;
+
+    // track tensors that had to be moved for debugging:
+    size_t n_tensors_moved = 0;
+    std::string first_tensor_moved_name;
+    std::string first_tensor_moved_type_name;
+    ggml_backend_buffer_type_t first_moved_from_buft = nullptr;
+    ggml_backend_buffer_type_t first_moved_to_buft = nullptr;
+
     llama_model_loader(
+        struct gguf_context * metadata,
+        llama_model_set_tensor_data_t set_tensor_data,
+        void * set_tensor_data_ud,
         const std::string & fname,
         std::vector<std::string> & splits, // optional, only need if the split does not follow naming scheme
         bool use_mmap,
@@ -149,7 +177,9 @@ struct llama_model_loader {
 
     const struct ggml_tensor * check_tensor_dims(const std::string & name, const std::vector<int64_t> & ne, bool required) const;
 
-    struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::initializer_list<int64_t> & ne, int flags = 0);
+    struct ggml_tensor * create_tensor(
+        const llama_hparams & hparams, const buft_list_t * buft_list_cpu, const buft_list_t * buft_list_input, const buft_list_t * buft_list_output,
+        const buft_list_t * buft_list_layer, const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags);
 
     struct ggml_tensor * create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::initializer_list<int64_t> & ne, size_t offset, bool required = true);
 
diff --git a/src/llama-model-saver.cpp b/src/llama-model-saver.cpp
index 36e353074e0..6f6538aeccd 100644
--- a/src/llama-model-saver.cpp
+++ b/src/llama-model-saver.cpp
@@ -7,14 +7,19 @@
 #include "llama-model.h"
 #include "llama-vocab.h"
 
+#include <cstdint>
 #include <string>
 
-llama_model_saver::llama_model_saver(const struct llama_model & model) : model(model), llm_kv(model.arch) {
-    gguf_ctx = gguf_init_empty();
-}
+llama_model_saver::llama_model_saver(const struct llama_model * model) :
+    gguf_ctx(gguf_init_empty()), gguf_ctx_owned(true), model(model), llm_kv(model->arch) {}
+
+llama_model_saver::llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx) :
+        gguf_ctx(gguf_ctx == nullptr ? gguf_init_empty() : gguf_ctx), gguf_ctx_owned(gguf_ctx == nullptr), model(nullptr), llm_kv(arch) {}
 
 llama_model_saver::~llama_model_saver() {
-    gguf_free(gguf_ctx);
+    if (gguf_ctx_owned) {
+        gguf_free(gguf_ctx);
+    }
 }
 
 void llama_model_saver::add_kv(const enum llm_kv key, const uint32_t value) {
@@ -46,7 +51,8 @@ void llama_model_saver::add_kv(const enum llm_kv key, const char value) {
 
 template <typename Container>
 void llama_model_saver::add_kv(const enum llm_kv key, const Container & value, const bool per_layer) {
-    const size_t n_values = per_layer ? size_t(model.hparams.n_layer) : value.size();
+    GGML_ASSERT(model != nullptr || !per_layer);
+    const size_t n_values = per_layer ? size_t(model->hparams.n_layer) : value.size();
     GGML_ASSERT(n_values <= value.size());
 
     if (n_values == 0) {
@@ -83,6 +89,8 @@ void llama_model_saver::add_kv(const enum llm_kv key, const Container & value, c
         GGML_ABORT("fatal error");
     }
 }
+// instantiate for external usage:
+template void llama_model_saver::add_kv<std::vector<uint32_t>>(const enum llm_kv, const std::vector<uint32_t> &, const bool);
 
 void llama_model_saver::add_kv(const enum llm_kv key, const std::vector<std::string> & value) {
     std::vector<const char *> tmp(value.size());
@@ -104,37 +112,39 @@ void llama_model_saver::add_tensor(const struct ggml_tensor * tensor) {
 }
 
 void llama_model_saver::add_kv_from_model() {
-    const llama_hparams & hparams = model.hparams;
-    const llama_vocab   & vocab   = model.vocab;
+    const llama_hparams & hparams = model->hparams;
+    const llama_vocab   & vocab   = model->vocab;
 
     const int32_t n_vocab = vocab.n_tokens();
     std::vector<std::string> tokens(n_vocab);
     std::vector<float>       scores(n_vocab);
     std::vector<int32_t>     token_types(n_vocab);
 
-    for (int32_t id = 0; id < n_vocab; ++id) {
-        const llama_vocab::token_data & token_data = vocab.get_token_data(id);
-
-        tokens[id] = token_data.text;
-        scores[id] = token_data.score;
-
-        switch(token_data.attr) {
-            case LLAMA_TOKEN_ATTR_UNKNOWN:      token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN;      break;
-            case LLAMA_TOKEN_ATTR_UNUSED:       token_types[id] = LLAMA_TOKEN_TYPE_UNUSED;       break;
-            case LLAMA_TOKEN_ATTR_NORMAL:       token_types[id] = LLAMA_TOKEN_TYPE_NORMAL;       break;
-            case LLAMA_TOKEN_ATTR_CONTROL:      token_types[id] = LLAMA_TOKEN_TYPE_CONTROL;      break;
-            case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break;
-            case LLAMA_TOKEN_ATTR_BYTE:         token_types[id] = LLAMA_TOKEN_TYPE_BYTE;         break;
-            case LLAMA_TOKEN_ATTR_UNDEFINED:
-            default:                            token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED;    break;
+    if (vocab.get_type() != LLAMA_VOCAB_TYPE_NONE) {
+        for (int32_t id = 0; id < n_vocab; ++id) {
+            const llama_vocab::token_data & token_data = vocab.get_token_data(id);
+
+            tokens[id] = token_data.text;
+            scores[id] = token_data.score;
+
+            switch(token_data.attr) {
+                case LLAMA_TOKEN_ATTR_UNKNOWN:      token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN;      break;
+                case LLAMA_TOKEN_ATTR_UNUSED:       token_types[id] = LLAMA_TOKEN_TYPE_UNUSED;       break;
+                case LLAMA_TOKEN_ATTR_NORMAL:       token_types[id] = LLAMA_TOKEN_TYPE_NORMAL;       break;
+                case LLAMA_TOKEN_ATTR_CONTROL:      token_types[id] = LLAMA_TOKEN_TYPE_CONTROL;      break;
+                case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break;
+                case LLAMA_TOKEN_ATTR_BYTE:         token_types[id] = LLAMA_TOKEN_TYPE_BYTE;         break;
+                case LLAMA_TOKEN_ATTR_UNDEFINED:
+                default:                            token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED;    break;
+            }
         }
     }
 
     // add_kv(LLM_KV_GENERAL_TYPE,                      ???);
-    add_kv(LLM_KV_GENERAL_ARCHITECTURE,              model.arch_name());
+    add_kv(LLM_KV_GENERAL_ARCHITECTURE,              model->arch_name());
     // add_kv(LLM_KV_GENERAL_QUANTIZATION_VERSION,      ???);
     // add_kv(LLM_KV_GENERAL_ALIGNMENT,                 ???);
-    add_kv(LLM_KV_GENERAL_NAME,                      model.name);
+    add_kv(LLM_KV_GENERAL_NAME,                      model->name);
     // add_kv(LLM_KV_GENERAL_AUTHOR,                    ???);
     // add_kv(LLM_KV_GENERAL_VERSION,                   ???);
     // add_kv(LLM_KV_GENERAL_URL,                       ???);
@@ -176,8 +186,10 @@ void llama_model_saver::add_kv_from_model() {
     add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV,           hparams.n_head_kv_arr, true);
     add_kv(LLM_KV_ATTENTION_MAX_ALIBI_BIAS,          hparams.f_max_alibi_bias);
     add_kv(LLM_KV_ATTENTION_CLAMP_KQV,               hparams.f_clamp_kqv);
-    add_kv(LLM_KV_ATTENTION_KEY_LENGTH,              hparams.n_embd_head_k);
-    add_kv(LLM_KV_ATTENTION_VALUE_LENGTH,            hparams.n_embd_head_v);
+    add_kv(LLM_KV_ATTENTION_KEY_LENGTH,              hparams.n_embd_head_k_full);
+    add_kv(LLM_KV_ATTENTION_VALUE_LENGTH,            hparams.n_embd_head_v_full);
+    add_kv(LLM_KV_ATTENTION_KEY_LENGTH_SWA,          hparams.n_embd_head_k_swa);
+    add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,        hparams.n_embd_head_v_swa);
     add_kv(LLM_KV_ATTENTION_LAYERNORM_EPS,           hparams.f_norm_eps);
     add_kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
     add_kv(LLM_KV_ATTENTION_CAUSAL,                  hparams.causal_attn);
@@ -189,7 +201,8 @@ void llama_model_saver::add_kv_from_model() {
 
     const float rope_scaling_factor = hparams.rope_freq_scale_train == 1.0f ? 0.0f : 1.0f/hparams.rope_freq_scale_train;
 
-    add_kv(LLM_KV_ROPE_DIMENSION_COUNT,              hparams.n_rot);
+    add_kv(LLM_KV_ROPE_DIMENSION_COUNT,              hparams.n_rot_full);
+    add_kv(LLM_KV_ROPE_DIMENSION_COUNT_SWA,          hparams.n_rot_swa);
     add_kv(LLM_KV_ROPE_FREQ_BASE,                    hparams.rope_freq_base_train);
     // add_kv(LLM_KV_ROPE_SCALE_LINEAR,                 rope_scaling_factor); // old name
     add_kv(LLM_KV_ROPE_SCALING_TYPE,                 llama_rope_scaling_type_name(hparams.rope_scaling_type_train));
@@ -255,24 +268,25 @@ void llama_model_saver::add_kv_from_model() {
 }
 
 void llama_model_saver::add_tensors_from_model() {
-    if (std::string(model.output->name) != std::string(model.tok_embd->name)) {
-        add_tensor(model.tok_embd); // some models use the same tensor for tok_embd and output
+    if (std::string(model->output->name) != std::string(model->tok_embd->name)) {
+        add_tensor(model->tok_embd); // some models use the same tensor for tok_embd and output
     }
-    add_tensor(model.type_embd);
-    add_tensor(model.pos_embd);
-    add_tensor(model.tok_norm);
-    add_tensor(model.tok_norm_b);
-    add_tensor(model.output_norm);
-    add_tensor(model.output_norm_b);
-    add_tensor(model.output);
-    add_tensor(model.output_b);
-    add_tensor(model.output_norm_enc);
-    add_tensor(model.cls);
-    add_tensor(model.cls_b);
-    add_tensor(model.cls_out);
-    add_tensor(model.cls_out_b);
-
-    for (const struct llama_layer & layer : model.layers) {
+    add_tensor(model->type_embd);
+    add_tensor(model->pos_embd);
+    add_tensor(model->tok_norm);
+    add_tensor(model->tok_norm_b);
+    add_tensor(model->output_norm);
+    add_tensor(model->output_norm_b);
+    add_tensor(model->output);
+    add_tensor(model->output_b);
+    add_tensor(model->output_norm_enc);
+    add_tensor(model->cls);
+    add_tensor(model->cls_b);
+    add_tensor(model->cls_out);
+    add_tensor(model->cls_out_b);
+    add_tensor(model->cls_norm);
+
+    for (const struct llama_layer & layer : model->layers) {
         for (size_t i = 0; i < sizeof(layer)/sizeof(struct ggml_tensor *); ++i) {
             add_tensor(reinterpret_cast<const struct ggml_tensor * const *>(&layer)[i]);
         }
diff --git a/src/llama-model-saver.h b/src/llama-model-saver.h
index a5a434c3069..2b3541ce6c5 100644
--- a/src/llama-model-saver.h
+++ b/src/llama-model-saver.h
@@ -1,5 +1,6 @@
 #pragma once
 
+#include "gguf.h"
 #include "llama.h"
 #include "llama-arch.h"
 
@@ -7,10 +8,12 @@
 
 struct llama_model_saver {
     struct gguf_context * gguf_ctx = nullptr;
-    const struct llama_model & model;
+    const bool gguf_ctx_owned;
+    const struct llama_model * model;
     const struct LLM_KV llm_kv;
 
-    llama_model_saver(const struct llama_model & model);
+    llama_model_saver(const struct llama_model * model);
+    llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx);
     ~llama_model_saver();
 
     void add_kv(enum llm_kv key, uint32_t     value);
diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index 5816e9a954c..6cc28eff282 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -1,5 +1,6 @@
 #include "llama-model.h"
 
+#include "ggml.h"
 #include "llama-impl.h"
 #include "llama-mmap.h"
 #include "llama-cparams.h"
@@ -18,6 +19,7 @@
 #include <algorithm>
 #include <cassert>
 #include <cfloat>
+#include <cstdint>
 #include <cstring>
 #include <cmath>
 #include <functional>
@@ -61,6 +63,7 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_0_3B:          return "0.3B";
         case LLM_TYPE_0_5B:          return "0.5B";
         case LLM_TYPE_0_6B:          return "0.6B";
+        case LLM_TYPE_0_8B:          return "0.8B";
         case LLM_TYPE_1B:            return "1B";
         case LLM_TYPE_1_2B:          return "1.2B";
         case LLM_TYPE_1_3B:          return "1.3B";
@@ -123,6 +126,7 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_8B_A1B:        return "8B.A1B";
         case LLM_TYPE_16B_A1B:       return "16B.A1B";
         case LLM_TYPE_21B_A3B:       return "21B.A3B";
+        case LLM_TYPE_24B_A2B:       return "24B.A2B";
         case LLM_TYPE_30B_A3B:       return "30B.A3B";
         case LLM_TYPE_31B_A3_5B:     return "31B.A3.5B";
         case LLM_TYPE_35B_A3B:       return "35B.A3B";
@@ -131,12 +135,16 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_100B_A6B:      return "100B.A6B";
         case LLM_TYPE_102B_A12B:     return "102B.A12B";
         case LLM_TYPE_106B_A12B:     return "106B.A12B";
+        case LLM_TYPE_120B_A12B:     return "120B.A12B";
+        case LLM_TYPE_122B_A10B:     return "122B.A10B";
         case LLM_TYPE_196B_A11B:     return "196B.A11B";
         case LLM_TYPE_230B_A10B:     return "230B.A10B";
         case LLM_TYPE_235B_A22B:     return "235B.A22B";
         case LLM_TYPE_300B_A47B:     return "300B.A47B";
         case LLM_TYPE_310B_A15B:     return "310B.A15B";
         case LLM_TYPE_355B_A32B:     return "355B.A32B";
+        case LLM_TYPE_397B_A17B:     return "397B.A17B";
+        case LLM_TYPE_744B_A40B:     return "744B.A40B";
         case LLM_TYPE_E2B:           return "E2B";
         case LLM_TYPE_E4B:           return "E4B";
         default:                     return "?B";
@@ -172,160 +180,6 @@ static llama_rope_scaling_type llama_rope_scaling_type_from_string(const std::st
     return LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED;
 }
 
-// checks if the weight tensor can be used with the specified buffer type and device
-static bool weight_buft_supported(const llama_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) {
-    GGML_ASSERT(w != nullptr);
-
-    if (op == GGML_OP_NONE) {
-        return true;
-    }
-
-    ggml_init_params params = {
-        /*.mem_size   =*/ ggml_tensor_overhead()*8,
-        /*.mem_buffer =*/ NULL,
-        /*.no_alloc   =*/ true,
-    };
-    ggml_context_ptr ctx_ptr { ggml_init(params) };
-    if (!ctx_ptr) {
-        throw std::runtime_error(format("failed to create ggml context"));
-    }
-    ggml_context * ctx = ctx_ptr.get();
-
-    ggml_tensor * op_tensor = nullptr;
-
-    switch (op) {
-        case GGML_OP_GET_ROWS:
-            {
-                ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512);
-                op_tensor = ggml_get_rows(ctx, w, b);
-            } break;
-        case GGML_OP_MUL_MAT:
-            {
-                ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], 512, w->ne[2], w->ne[3]);
-                op_tensor = ggml_mul_mat(ctx, w, b);
-            } break;
-        case GGML_OP_MUL_MAT_ID:
-            {
-                int n_expert_used = hparams.n_expert_used;
-                ggml_tensor * b = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512);
-                ggml_tensor * ids = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512);
-                op_tensor = ggml_mul_mat_id(ctx, w, b, ids);
-            } break;
-        case GGML_OP_ADD:
-            {
-                ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]);
-                op_tensor = ggml_add(ctx, a, w);
-            } break;
-        case GGML_OP_ADD_ID:
-            {
-                int n_expert_used = hparams.n_expert_used;
-                ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512);
-                ggml_tensor * c = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512);
-                op_tensor = ggml_add_id(ctx, a, w, c);
-            } break;
-        case GGML_OP_MUL:
-            {
-                ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]);
-                op_tensor = ggml_mul(ctx, a, w);
-            } break;
-        case GGML_OP_DIV:
-            {
-                ggml_tensor * a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, w->ne[0]);
-                op_tensor = ggml_div(ctx, a, w);
-            } break;
-        case GGML_OP_ROPE:
-            {
-                int n_embd_head = hparams.n_embd_head_v;
-                int n_head = hparams.n_head();
-                ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, 512);
-                ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512);
-                op_tensor = ggml_rope_ext(
-                    ctx, a, b, w,
-                    0, 0, 0, 0, 0,
-                    0, 0, 0, 0
-                );
-
-            } break;
-        case GGML_OP_SSM_CONV:
-            {
-                const int64_t n_seq_tokens = 512;
-                const int64_t n_seqs       = 3;
-                ggml_tensor * conv_x = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0] - 1 + n_seq_tokens, w->ne[1], n_seqs);
-                op_tensor = ggml_ssm_conv(ctx, conv_x, w);
-            } break;
-        case GGML_OP_SSM_SCAN:
-            {
-                // w is ssm_a, which is used to distinguish Mamba-1 and Mamba-2
-                const int64_t d_state      = w->ne[0] == 1 ? hparams.ssm_d_state : w->ne[0];
-                const int64_t n_head       = w->ne[1];
-                const int64_t head_dim     = hparams.ssm_d_inner / n_head;
-                const int64_t n_group      = hparams.ssm_n_group ? hparams.ssm_n_group : 1;
-                const int64_t n_seq_tokens = 512;
-                const int64_t n_seqs       = 3;
-                ggml_tensor * s   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, head_dim, n_head, n_seqs);
-                ggml_tensor * x   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, head_dim, n_head, n_seq_tokens, n_seqs);
-                ggml_tensor * dt  = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_head, n_seq_tokens, n_seqs);
-                ggml_tensor * B   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs);
-                ggml_tensor * C   = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs);
-                ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_seqs);
-                op_tensor = ggml_ssm_scan(ctx, s, x, dt, w, B, C, ids);
-            } break;
-        case GGML_OP_RWKV_WKV6:
-            {
-                // FIXME
-                const int64_t S = 123;
-                const int64_t H = 123;
-                const int64_t n_tokens = 123;
-                const int64_t n_seqs = 123;
-                ggml_tensor  * k = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
-                ggml_tensor  * v = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
-                ggml_tensor  * r = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
-                ggml_tensor  * tf = w;
-                ggml_tensor  * td = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens);
-                ggml_tensor  * state = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, S, n_seqs, S, H);
-                op_tensor = ggml_rwkv_wkv6(ctx, k, v, r, tf, td, state);
-            } break;
-        case GGML_OP_IM2COL:
-            {
-                const int n_embd_inp = hparams.n_embd_inp();
-                ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_embd_inp, w->ne[1], 1, 1);
-                op_tensor = ggml_im2col(ctx, w, b, 1, 0, 0, 0, 1, 0, false, GGML_TYPE_F16);
-            } break;
-        case GGML_OP_SCALE:
-            {
-                op_tensor = ggml_scale(ctx, w, 1.0f);
-            } break;
-        default:
-            GGML_ABORT("%s: missing test for op %s for tensor %s", __func__, ggml_op_name(op), w->name);
-    }
-
-    // create a temporary dummy buffer for the weight so that supports_op can check the buffer type
-    GGML_ASSERT(w->buffer == nullptr);
-    w->buffer = ggml_backend_buft_alloc_buffer(buft, 0);
-    bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor);
-    ggml_backend_buffer_free(w->buffer);
-    w->buffer = nullptr;
-
-    return op_supported;
-}
-
-// lists of buffer types used for each layer
-using buft_list_t = std::vector<std::pair<ggml_backend_dev_t, ggml_backend_buffer_type_t>>;
-
-// find the first buffer type in the list that can use the tensor
-static ggml_backend_buffer_type_t select_weight_buft(const llama_hparams & hparams, ggml_tensor * tensor, ggml_op op, const buft_list_t & buft_list) {
-    GGML_ASSERT(!buft_list.empty());
-    for (const auto & cur : buft_list) {
-        ggml_backend_dev_t cur_dev = cur.first;
-        ggml_backend_buffer_type_t cur_buft = cur.second;
-        if (weight_buft_supported(hparams, tensor, op, cur_buft, cur_dev)) {
-            return cur_buft;
-        }
-    }
-
-    return nullptr;
-}
-
 // CPU: ACCEL -> GPU host -> CPU extra -> CPU
 static buft_list_t make_cpu_buft_list(const std::vector<ggml_backend_dev_t> & devices, bool use_extra_bufts, bool no_host) {
     buft_list_t buft_list;
@@ -491,7 +345,7 @@ void llama_model::load_arch(llama_model_loader & ml) {
 }
 
 void llama_model::load_hparams(llama_model_loader & ml) {
-    const gguf_context * ctx = ml.meta.get();
+    const gguf_context * ctx = ml.metadata;
 
     // get metadata as string
     for (int i = 0; i < gguf_get_n_kv(ctx); i++) {
@@ -606,26 +460,37 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         // gpt-neox n_rot = rotary_pct * (n_embd / n_head)
         // gpt-j n_rot = rotary_dim
 
-        hparams.n_embd_head_k = hparams.n_embd / hparams.n_head();
-        ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k, false);
+        hparams.n_embd_head_k_full = hparams.n_embd / hparams.n_head();
+        ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k_full, false);
 
-        hparams.n_embd_head_v = hparams.n_embd / hparams.n_head();
-        ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v, false);
+        hparams.n_embd_head_v_full = hparams.n_embd / hparams.n_head();
+        ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v_full, false);
 
         // sanity check for n_rot (optional)
-        hparams.n_rot = hparams.n_embd_head_k;
+        hparams.n_rot_full = hparams.n_embd_head_k_full;
 
-        ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot, false);
+        ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot_full, false);
 
         if (arch == LLM_ARCH_LLAMA || arch == LLM_ARCH_DECI || arch == LLM_ARCH_FALCON || arch == LLM_ARCH_LLAMA_EMBED) {
-            if (hparams.n_rot != hparams.n_embd_head_k) {
-                throw std::runtime_error(format("invalid n_rot: %u, expected %u", hparams.n_rot, hparams.n_embd_head_k));
+            if (hparams.n_rot_full != hparams.n_embd_head_k_full) {
+                throw std::runtime_error(format("invalid n_rot: %u, expected %u", hparams.n_rot_full, hparams.n_embd_head_k_full));
             }
         }
     } else {
-        hparams.n_rot = 0;
-        hparams.n_embd_head_k = 0;
-        hparams.n_embd_head_v = 0;
+        hparams.n_rot_full = 0;
+        hparams.n_embd_head_k_full = 0;
+        hparams.n_embd_head_v_full = 0;
+    }
+
+    // head size and n_rot for SWA layers
+    {
+        hparams.n_embd_head_k_swa = hparams.n_embd_head_k_full;
+        hparams.n_embd_head_v_swa = hparams.n_embd_head_v_full;
+        ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA, hparams.n_embd_head_k_swa, false);
+        ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA, hparams.n_embd_head_v_swa, false);
+
+        hparams.n_rot_swa = hparams.n_rot_full;
+        ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT_SWA, hparams.n_rot_swa, false);
     }
 
     // for differentiating model types
@@ -685,7 +550,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     hparams.n_attn_temp_floor_scale = 8192;
                     hparams.f_attn_temp_scale       = 0.1f;
                     hparams.f_attn_temp_offset      = 1.0f;
-                    hparams.set_swa_pattern(4);   // pattern: 3 chunked - 1 full
+                    uint32_t swa_period             = 4; // pattern: 3 chunked - 1 full
+                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                    hparams.set_swa_pattern(swa_period);
 
                     hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                     hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
@@ -722,7 +589,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_AFMOE:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
@@ -734,7 +601,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4)
                 if (hparams.n_swa > 0) {
                     hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    hparams.set_swa_pattern(4);
+                    uint32_t swa_period = 4;
+                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                    hparams.set_swa_pattern(swa_period);
 
                     hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                     hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
@@ -879,7 +748,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_BERT:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
                 ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
 
                 switch (hparams.n_layer) {
@@ -902,18 +771,17 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
                 if (found_swa && hparams.n_swa > 0) {
-                    uint32_t swa_period = 3;
                     hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
-
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa);
+                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+                    uint32_t swa_period = 3;
                     ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
+                    hparams.set_swa_pattern(swa_period, true);
                 } else {
                     hparams.swa_type = LLAMA_SWA_TYPE_NONE;
                 }
 
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,        hparams.causal_attn);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,        hparams.causal_attn, false);
                 ml.get_key(LLM_KV_POOLING_TYPE,            hparams.pooling_type, false);
 
                 switch (hparams.n_layer) {
@@ -929,7 +797,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_JINA_BERT_V2:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
                 ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
                 hparams.f_max_alibi_bias = 8.0f;
 
@@ -942,7 +810,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_JINA_BERT_V3:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
                 ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
 
                 switch (hparams.n_layer) {
@@ -955,8 +823,8 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_NOMIC_BERT_MOE:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn);
-                ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
+                ml.get_key(LLM_KV_POOLING_TYPE,               hparams.pooling_type, false);
                 ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS,         hparams.moe_every_n_layers, 0);
 
                 if (hparams.n_layer == 12 && hparams.n_embd == 768) {
@@ -970,13 +838,23 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_NEO_BERT:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,            hparams.causal_attn);
-                ml.get_key(LLM_KV_POOLING_TYPE,                hparams.pooling_type);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,            hparams.causal_attn, false);
+                ml.get_key(LLM_KV_POOLING_TYPE,                hparams.pooling_type, false);
 
                 if (hparams.n_layer == 28) {
                     type = LLM_TYPE_250M;
                 }
             } break;
+        case LLM_ARCH_EUROBERT:
+            {
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,            hparams.causal_attn, false);
+                ml.get_key(LLM_KV_POOLING_TYPE,                hparams.pooling_type, false);
+
+                if (hparams.n_layer == 12) {
+                    type = LLM_TYPE_SMALL;  // 0.2B
+                }
+            } break;
         case LLM_ARCH_BLOOM:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
@@ -999,7 +877,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,  hparams.f_norm_eps);
                 ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,      hparams.f_clamp_kqv, false);
-                ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias);
+                ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false);
 
                 switch (hparams.n_layer) {
                     case 32: type = LLM_TYPE_7B; break;
@@ -1248,19 +1126,15 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                         break;
                     default: type = LLM_TYPE_UNKNOWN;
                 }
-
-                // Load attention parameters
-                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH,   hparams.n_embd_head_k, false);
-                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v, false);
             } break;
         case LLM_ARCH_PLAMO3:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
                 if (found_swa && hparams.n_swa > 0) {
-                    uint32_t swa_period = 8;
                     hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa);
+                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+                    uint32_t swa_period = 8;
                     ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
                     hparams.set_swa_pattern(swa_period);
                 } else {
@@ -1323,7 +1197,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
                 hparams.n_swa = 4096; // default value of gemma 2
-                hparams.set_swa_pattern(2);
+                uint32_t swa_period = 2;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                hparams.set_swa_pattern(swa_period);
                 hparams.attn_soft_cap = true;
                 hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                 hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
@@ -1344,14 +1220,16 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173
                 hparams.f_attention_scale = type == LLM_TYPE_27B
                     ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0)))
-                    : 1.0f / std::sqrt(float(hparams.n_embd_head_k));
+                    : 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
             } break;
         case LLM_ARCH_GEMMA3:
             {
                 const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
                 if (found_swa && hparams.n_swa > 0) {
                     hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    hparams.set_swa_pattern(6);
+                    uint32_t swa_period = 6;
+                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                    hparams.set_swa_pattern(swa_period);
 
                     ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
                 } else {
@@ -1375,12 +1253,14 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289
                 hparams.f_attention_scale = type == LLM_TYPE_27B
                     ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0)))
-                    : 1.0f / std::sqrt(float(hparams.n_embd_head_k));
+                    : 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
             } break;
         case LLM_ARCH_GEMMA3N:
             {
+                uint32_t swa_period = 5;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
                 hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                hparams.set_swa_pattern(5);
+                hparams.set_swa_pattern(swa_period);
 
                 hparams.n_layer_kv_from_start     = 20;
                 hparams.f_attention_scale         = 1.0f;
@@ -1398,14 +1278,16 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_GEMMA_EMBEDDING:
             {
                 hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
-                hparams.set_swa_pattern(6);
+                uint32_t swa_period = 6;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                hparams.set_swa_pattern(swa_period);
 
                 hparams.causal_attn = false; // embeddings do not use causal attention
 
                 ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
                 ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type);
+                ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false);
 
                 //applied only if model converted with --sentence-transformers-dense-modules
                 ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false);
@@ -1420,7 +1302,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     case 24: type = LLM_TYPE_0_3B; break;
                     default: type = LLM_TYPE_UNKNOWN;
                 }
-                hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k));
+                hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
 
             } break;
         case LLM_ARCH_STARCODER2:
@@ -1512,7 +1394,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
 
                 switch (hparams.n_layer) {
-                    // TODO: Jamba layers are a bit heterogenous, so naming this is hard.
+                    // TODO: Jamba layers are a bit heterogeneous, so naming this is hard.
                     case 12: // 900M  8x???M
                     case 32: // 51B  16x?B
                     default: type = LLM_TYPE_UNKNOWN;
@@ -1530,7 +1412,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             } break;
         case LLM_ARCH_COMMAND_R:
             {
-                ml.get_key(LLM_KV_LOGIT_SCALE,             hparams.f_logit_scale);
+                ml.get_key(LLM_KV_LOGIT_SCALE,             hparams.f_logit_scale, false);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
                 switch (hparams.n_layer) {
                     case 40: type = LLM_TYPE_35B; break;
@@ -1540,7 +1422,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_COHERE2:
             {
                 hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                hparams.set_swa_pattern(4);
+                uint32_t swa_period = 4;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                hparams.set_swa_pattern(swa_period);
                 hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                 hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
 
@@ -1582,7 +1466,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
                 if (found_swa && hparams.n_swa > 0) {
                     hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    hparams.set_swa_pattern(4);
+                    uint32_t swa_period = 4;
+                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                    hparams.set_swa_pattern(swa_period);
 
                     hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                     hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp
@@ -1689,10 +1575,10 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_DEEPSEEK:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
 
                 switch (hparams.n_ff_exp) {
                     case 1408: type = LLM_TYPE_16B; break;
@@ -1702,11 +1588,11 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             } break;
         case LLM_ARCH_DEEPSEEK2:
             {
-                // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B
-                const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26);
+                // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B, Kanana-2-30B-A3B
+                const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256));
 
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
                 if (!is_lite) {
                     ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q);
                 }
@@ -1783,7 +1669,15 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
                 ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+                // NextN/MTP parameters (GLM-OCR)
+                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false);
+
+                // TODO: when MTP is implemented, this should probably be updated if needed
+                hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
                 switch (hparams.n_layer) {
+                    case 17: type = LLM_TYPE_1B; break; // GLM-OCR
                     case 40: type = LLM_TYPE_9B; break;
                     case 61: type = LLM_TYPE_32B; break;
                     default: type = LLM_TYPE_UNKNOWN;
@@ -1800,7 +1694,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_EXPERT_USED_COUNT,           hparams.n_expert_used);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
                 ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
 
                 // Expert gating function (GLM-4.5 uses sigmoid)
@@ -1822,6 +1716,50 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
+        case LLM_ARCH_GLM_DSA:
+            {
+                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,     hparams.n_ff_exp);
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
+                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+                // MoE parameters
+                ml.get_key(LLM_KV_EXPERT_COUNT,                hparams.n_expert);
+                ml.get_key(LLM_KV_EXPERT_USED_COUNT,           hparams.n_expert_used);
+                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+
+                // deepseek MLA parameters
+                ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK,      hparams.n_lora_q);
+                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,     hparams.n_lora_kv);
+                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,   hparams.n_embd_head_k_mla_impl, false);
+                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false);
+                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
+                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,        hparams.n_expert_shared);
+
+                // DSA parameters
+                ml.get_key(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, hparams.indexer_n_head);
+                ml.get_key(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, hparams.indexer_head_size);
+                ml.get_key(LLM_KV_ATTENTION_INDEXER_TOP_K,      hparams.indexer_top_k);
+
+                // Expert gating function (GLM-4.5 uses sigmoid)
+                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+                    hparams.expert_gating_func =  LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
+                }
+
+                // NextN/MTP parameters
+                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
+
+                // TODO: when MTP is implemented, this should probably be updated if needed
+                hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
+                switch (hparams.n_layer) {
+                    case 79: type = LLM_TYPE_744B_A40B; break;
+                    default: type = LLM_TYPE_UNKNOWN;
+                }
+            } break;
         case LLM_ARCH_BITNET:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
@@ -1875,7 +1813,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_JAIS:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias);
+                ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false);
 
                 switch (hparams.n_layer) {
                     case 24: type = LLM_TYPE_1_3B; break;
@@ -1884,6 +1822,16 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
+        case LLM_ARCH_JAIS2:
+            {
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+
+                switch (hparams.n_layer) {
+                    case 32: type = LLM_TYPE_8B; break;
+                    case 68: type = LLM_TYPE_70B; break;
+                    default: type = LLM_TYPE_UNKNOWN;
+                }
+            } break;
         case LLM_ARCH_NEMOTRON:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
@@ -1914,10 +1862,12 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
+                ml.get_key(LLM_KV_MOE_LATENT_SIZE,                   hparams.moe_latent_size, false);
 
                 switch (hparams.n_layer) {
                     case 52: type = LLM_TYPE_31B_A3_5B; break; // Nemotron-H_MOE 31B
                     case 56: type = LLM_TYPE_9B; break;
+                    case 88: type = LLM_TYPE_120B_A12B; break;
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
@@ -1935,7 +1885,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 if (hparams.n_layer == 64) {    // 32B
                     hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
                     hparams.n_swa = 4096;
-                    hparams.set_swa_pattern(4);
+                    uint32_t swa_period = 4;
+                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                    hparams.set_swa_pattern(swa_period);
 
                     hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                     hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
@@ -1955,7 +1907,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
                 hparams.n_swa = 128;
-                hparams.set_swa_pattern(4);
+                uint32_t swa_period = 4;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                hparams.set_swa_pattern(swa_period);
                 hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                 hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
 
@@ -1968,7 +1922,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
 
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
 
@@ -2052,9 +2006,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 ml.get_key(LLM_KV_LOGIT_SCALE,                 hparams.f_logit_scale);
-                ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale);
-                ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale);
-                ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale);
+                ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale, false);
+                ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale, false);
+                ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale, false);
 
                 // Granite uses rope_finetuned as a switch for rope, so default to true
                 bool rope_finetuned = true;
@@ -2112,7 +2066,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 hparams.f_norm_eps = 1e-5;  // eps for qk-norm, torch default
-                ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm);
+                ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false);
 
                 switch (hparams.n_layer) {
                     case 32: type = LLM_TYPE_7B; break;
@@ -2125,15 +2079,15 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
                 ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS,    hparams.f_norm_group_eps);
                 ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups);
-                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn);
+                ml.get_key(LLM_KV_ATTENTION_CAUSAL,           hparams.causal_attn, false);
             } break;
         case LLM_ARCH_BAILINGMOE:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
 
                 switch (hparams.n_layer) {
@@ -2145,11 +2099,11 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_BAILINGMOE2:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp);
+                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
                 ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
@@ -2168,10 +2122,10 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_DOTS1:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
                 ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
                 switch (hparams.n_layer) {
@@ -2181,13 +2135,17 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             } break;
         case LLM_ARCH_ERNIE4_5:
         case LLM_ARCH_ERNIE4_5_MOE:
+        case LLM_ARCH_PADDLEOCR:
             {
+                // paddleocr need mrope_section
+                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 if (arch == LLM_ARCH_ERNIE4_5_MOE) {
                     ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
                     ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
                     ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,         hparams.n_moe_layer_step);
-                    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead);
+                    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
                 }
 
                 switch (hparams.n_layer) {
@@ -2232,7 +2190,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp);
+                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
 
                 switch (hparams.n_layer) {
                     case 32: type = LLM_TYPE_A13B; break;
@@ -2268,7 +2226,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
 
                 hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                hparams.set_swa_pattern(2);
+                uint32_t swa_period = 2;
+                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                hparams.set_swa_pattern(swa_period);
 
                 hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                 hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
@@ -2295,12 +2255,18 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     case 10752: type = LLM_TYPE_2_6B; break;
                     default:    type = LLM_TYPE_UNKNOWN;
                 }
+                if (const auto is_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); is_swa && hparams.n_swa > 0) {
+                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+                    for (uint32_t il = 0; il < hparams.n_layer; ++il) {
+                        hparams.swa_layers[il] = !hparams.recurrent_layer_arr[il];
+                    }
+                }
             } break;
         case LLM_ARCH_LFM2MOE:
             {
                 ml.get_key(LLM_KV_SHORTCONV_L_CACHE,           hparams.n_shortconv_l_cache);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func);
 
@@ -2308,16 +2274,22 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0;
                 }
 
-                type = LLM_TYPE_8B_A1B;
+                switch (hparams.n_layer) {
+                    case 24: type = LLM_TYPE_8B_A1B;  break;
+                    case 40: type = LLM_TYPE_24B_A2B; break;
+                    default: type = LLM_TYPE_UNKNOWN;
+                }
             } break;
         case LLM_ARCH_SMALLTHINKER:
             {
                 const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
 
                 if (found_swa && hparams.n_swa > 0) {
-                    hparams.swa_type      = LLAMA_SWA_TYPE_STANDARD;
-                    hparams.n_swa         = 4096;
-                    hparams.set_swa_pattern(4, true);
+                    hparams.swa_type    = LLAMA_SWA_TYPE_STANDARD;
+                    hparams.n_swa       = 4096;
+                    uint32_t swa_period = 4;
+                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+                    hparams.set_swa_pattern(swa_period, true);
 
                     hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
                     hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
@@ -2340,7 +2312,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         case LLM_ARCH_GROVEMOE:
             {
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH,  hparams.n_ff_chexp);
+                ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH,  hparams.n_ff_chexp, false);
                 ml.get_key(LLM_KV_EXPERT_GROUP_SCALE,                hparams.expert_group_scale);
                 ml.get_key(LLM_KV_EXPERTS_PER_GROUP,                 hparams.n_group_experts);
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
@@ -2440,7 +2412,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
 
                 switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_2B; break;
+                    case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_8B : LLM_TYPE_2B; break;
+                    case 32: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_9B; break;
+                    case 64: type = LLM_TYPE_27B; break;
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
@@ -2469,8 +2443,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
 
                 switch (hparams.n_layer) {
-                    case 28: type = LLM_TYPE_35B_A3B; break;
-                    case 48: type = LLM_TYPE_80B_A3B; break;
+                    case 40: type = LLM_TYPE_35B_A3B; break;
+                    case 48: type = LLM_TYPE_122B_A10B; break;
+                    case 60: type = LLM_TYPE_397B_A17B; break;
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
@@ -2508,7 +2483,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
                 ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,   hparams.n_swa);
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,         hparams.rope_freq_base_train_swa);
+                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,         hparams.rope_freq_base_train_swa, false);
                 ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
 
                 switch (hparams.n_layer) {
@@ -2522,7 +2497,6 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,    hparams.n_embd_head_k_mla_impl);
                 ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA,  hparams.n_embd_head_v_mla_impl);
                 ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,      hparams.n_lora_kv);
-                ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT,        hparams.n_rot);
                 ml.get_key(LLM_KV_SSM_CONV_KERNEL,             hparams.ssm_d_conv);
                 ml.get_key(LLM_KV_KDA_HEAD_DIM,                hparams.n_embd_head_kda);
 
@@ -2538,8 +2512,8 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 // MoE parameters - Kimi uses moe_intermediate_size = 1024
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
                 ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
 
                 switch (hparams.n_layer) {
@@ -2553,6 +2527,9 @@ void llama_model::load_hparams(llama_model_loader & ml) {
 
                 hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
 
+                // full_attention layer only use half of the RoPE dimensions
+                hparams.n_rot_full = hparams.n_rot_full / 2;
+
                 // MoE + SWA parameters
                 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
                 ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
@@ -2566,7 +2543,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
 
                 ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,  hparams.n_swa);
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,        hparams.rope_freq_base_train_swa);
+                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,        hparams.rope_freq_base_train_swa, false);
                 ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
                 ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP,   hparams.swiglu_clamp_exp,   hparams.n_layer, false);
                 ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false);
@@ -2576,7 +2553,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                     default: type = LLM_TYPE_UNKNOWN;
                 }
             } break;
-        default: throw std::runtime_error("unsupported model architecture");
+        default: throw std::runtime_error("unsupported model architecture: " + arch_name());
     }
 
     pimpl->n_bytes = ml.n_bytes;
@@ -2683,44 +2660,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
     // assign the output layer
     pimpl->dev_output = get_layer_buft_list(n_layer);
 
-    // one ggml context per buffer type
-    int max_n_tensors = ml.n_tensors;
-    max_n_tensors += 1;         // duplicated output tensor
-    max_n_tensors += n_layer*2; // duplicated rope freq tensors
-    const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors;
-
-    // define a comparator for the buft -> ctx map to ensure that the order is well-defined:
-    struct ggml_backend_buft_comparator {
-        bool operator()(const ggml_backend_buffer_type_t & lhs, const ggml_backend_buffer_type_t & rhs) const {
-            return strcmp(ggml_backend_buft_name(lhs), ggml_backend_buft_name(rhs)) < 0;
-        }
-    };
-    std::map<ggml_backend_buffer_type_t, ggml_context_ptr, ggml_backend_buft_comparator> ctx_map;
-
-    auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * {
-        auto it = ctx_map.find(buft);
-        if (it == ctx_map.end()) {
-            ggml_init_params params = {
-                /*.mem_size   =*/ ctx_size,
-                /*.mem_buffer =*/ NULL,
-                /*.no_alloc   =*/ true,
-            };
-
-            ggml_context * ctx = ggml_init(params);
-            if (!ctx) {
-                throw std::runtime_error(format("failed to create ggml context"));
-            }
-
-            ctx_map.emplace(buft, ctx);
-
-            return ctx;
-        }
-        return it->second.get();
-    };
-
-    const auto TENSOR_DUPLICATED   = llama_model_loader::TENSOR_DUPLICATED;
-    const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED;
-    const auto TENSOR_SKIP         = llama_model_loader::TENSOR_SKIP;
+    const auto TENSOR_DUPLICATED      = llama_model_loader::TENSOR_DUPLICATED;
+    const auto TENSOR_NOT_REQUIRED    = llama_model_loader::TENSOR_NOT_REQUIRED;
+    const auto TENSOR_SKIP            = llama_model_loader::TENSOR_SKIP;
+    const auto TENSOR_SKIP_IF_VIRTUAL = llama_model_loader::TENSOR_SKIP_IF_VIRTUAL;
 
     // create tensors for the weights
     {
@@ -2730,13 +2673,13 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
         const int64_t n_embd        = hparams.n_embd;
         const int64_t n_embd_k_gqa  = hparams.n_embd_k_gqa();
         const int64_t n_embd_v_gqa  = hparams.n_embd_v_gqa();
-        const int64_t n_embd_head_k = hparams.n_embd_head_k;
-        const int64_t n_embd_head_v = hparams.n_embd_head_v;
+        const int64_t n_embd_head_k = hparams.n_embd_head_k();
+        const int64_t n_embd_head_v = hparams.n_embd_head_v();
         const int64_t n_ff          = hparams.n_ff();
         const int64_t n_embd_gqa    = n_embd_v_gqa;
         const int64_t n_vocab       = vocab.n_tokens();
         const int64_t n_token_types = vocab.n_token_types();
-        const int64_t n_rot         = hparams.n_rot;
+        const int64_t n_rot         = hparams.n_rot();
         const int64_t n_expert      = hparams.n_expert;
         const int64_t n_expert_used = hparams.n_expert_used;
         const int64_t n_ctx_train   = hparams.n_ctx_train;
@@ -2745,153 +2688,26 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             throw std::runtime_error("model has expert layers but no expert layers are used");
         }
 
-        int n_moved_tensors = 0;
-        ggml_tensor * first_moved_tensor = nullptr;
-        ggml_backend_buffer_type_t first_moved_from_buft = nullptr;
-        ggml_backend_buffer_type_t first_moved_to_buft = nullptr;
-
         auto create_tensor = [&](const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags) -> ggml_tensor * {
-            ggml_tensor * t_meta = ml.get_tensor_meta(tn.str().c_str());
-
-            if (!t_meta) {
-                if (flags & TENSOR_NOT_REQUIRED) {
-                    return nullptr;
-                }
-                throw std::runtime_error(format("missing tensor '%s'", tn.str().c_str()));
-            }
-
-            // some models use the token embedding tensor as the output, but since these are used in different layers and with different ops
-            // the tensor is duplicated
-            // to handle this, we check if the tensor is duplicated, and if so, we assume that it is being loaded as the output tensor
-            llm_tensor tn_tensor = tn.tensor;
-            if (tn.tensor == LLM_TENSOR_TOKEN_EMBD && flags & TENSOR_DUPLICATED) {
-                tn_tensor = LLM_TENSOR_OUTPUT;
-            }
-
-            llm_tensor_info info;
-            try {
-                info = llm_tensor_info_for(tn_tensor);
-            } catch (const std::out_of_range & e) {
-                throw std::runtime_error(format("missing tensor info mapping for %s", tn.str().c_str()));
-            }
-
-            // skip unused tensors
-            if (info.op == GGML_OP_NONE || flags & TENSOR_SKIP) {
-                const size_t nbytes = ggml_nbytes(t_meta);
-                LLAMA_LOG_WARN("model has unused tensor %s (size = %zu bytes) -- ignoring\n", tn.str().c_str(), nbytes);
-
-                ml.size_data -= nbytes;
-                ml.n_created++;
-
-                return nullptr;
-            }
-
-            // tensors with "bias" suffix are always used with GGML_OP_ADD or GGML_OP_ADD_ID
-            ggml_op op;
-            bool bias = tn.suffix != nullptr && strcmp(tn.suffix, "bias") == 0;
-            if (bias) {
-                if (info.op == GGML_OP_MUL_MAT_ID) {
-                    op = GGML_OP_ADD_ID;
-                } else {
-                    op = GGML_OP_ADD;
-                }
-            } else {
-                op = info.op;
-            }
-
-            // sanity checks
-            if (info.layer == LLM_TENSOR_LAYER_INPUT || info.layer == LLM_TENSOR_LAYER_OUTPUT) {
-                if (tn.bid != -1) {
-                    GGML_ABORT("input/output layer tensor %s used with a layer number", tn.str().c_str());
-                }
-            } else {
-                if (tn.bid == -1) {
-                    GGML_ABORT("repeating layer tensor %s used without a layer number", tn.str().c_str());
-                }
-            }
-
-            // select the buffer type for this tensor
-            buft_list_t * buft_list;
-            switch (info.layer) {
-                case LLM_TENSOR_LAYER_INPUT:
-                    buft_list = pimpl->dev_input.buft_list;
-                    break;
-                case LLM_TENSOR_LAYER_OUTPUT:
-                    buft_list = pimpl->dev_output.buft_list;
-                    break;
-                case LLM_TENSOR_LAYER_REPEATING:
-                    buft_list = pimpl->dev_layer.at(tn.bid).buft_list;
-                    break;
-                default:
-                    GGML_ABORT("invalid layer %d for tensor %s", info.layer, tn.str().c_str());
-            }
-
-            ggml_backend_buffer_type_t buft = nullptr;
-
-            // check overrides
-            if (ml.tensor_buft_overrides) {
-                std::string tensor_name = tn.str();
-                for (const auto * overrides = ml.tensor_buft_overrides; overrides->pattern != nullptr; ++overrides) {
-                    std::regex pattern(overrides->pattern);
-                    if (std::regex_search(tensor_name, pattern)) {
-                        if (overrides->buft == ggml_backend_cpu_buffer_type()) {
-                            // when overriding to a CPU buffer, consider the extra buffer types
-                            buft = select_weight_buft(hparams, t_meta, op, pimpl->cpu_buft_list);
-                        } else {
-                            buft = overrides->buft;
-                        }
-
-                        LLAMA_LOG_DEBUG("tensor %s (%zu MiB %s) buffer type overridden to %s\n",
-                                tensor_name.c_str(),
-                                ggml_nbytes(t_meta) / 1024 / 1024, ggml_type_name(t_meta->type),
-                                ggml_backend_buft_name(buft));
-                        break;
-                    }
-                }
-            }
-
-            if (!buft) {
-                buft = select_weight_buft(hparams, t_meta, op, *buft_list);
-                if (!buft) {
-                    throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", tn.str().c_str()));
-                }
-            }
-
-            // avoid using a host buffer when using mmap
-            auto * buft_dev = ggml_backend_buft_get_device(buft);
-            if (ml.use_mmap && buft_dev && buft == ggml_backend_dev_host_buffer_type(buft_dev)) {
-                auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
-                if (!cpu_dev) {
-                    throw std::runtime_error("no CPU backend found");
-                }
-                buft = ggml_backend_dev_buffer_type(cpu_dev);
-            }
-
-            if (buft != buft_list->front().second) {
-                n_moved_tensors++;
-                if (!first_moved_tensor) {
-                    first_moved_tensor = t_meta;
-                    first_moved_from_buft = buft_list->front().second;
-                    first_moved_to_buft   = buft;
-                }
-            }
-
-            ggml_context * ctx = ctx_for_buft(buft);
-
-            // if duplicated, check if the original tensor was allocated in the same buffer type context and avoid creating a new one
-            if (flags & TENSOR_DUPLICATED) {
-                ggml_tensor * t = ggml_get_tensor(ctx, tn.str().c_str());
-                if (t) {
-                    return t;
-                }
-            }
-            return ml.create_tensor(ctx, tn, ne, flags);
+            const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list;
+            return ml.create_tensor(
+                hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer,
+                tn, ne, flags);
         };
 
         layers.resize(n_layer);
 
         // TODO: move to a separate function
         const auto tn = LLM_TN(arch);
+
+        // helper: try merged gate_up_exps first, fall back to separate gate and up
+        auto create_tensor_gate_up_exps = [&](llama_layer & layer, int bid, int64_t n_embd_, int64_t n_ff_, int64_t n_expert_, int flags) {
+            layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, TENSOR_NOT_REQUIRED);
+            if (layer.ffn_gate_up_exps == nullptr) {
+                layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
+                layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
+            }
+        };
         switch (arch) {
             case LLM_ARCH_LLAMA:
             case LLM_ARCH_REFACT:
@@ -3045,6 +2861,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_LLAMA4:
                 {
+                    if (n_expert == 0) {
+                        throw std::runtime_error(arch_name() + " model cannot have zero experts");
+                    }
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
                     // output
@@ -3057,7 +2876,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     }
 
                     for (int i = 0; i < n_layer; ++i) {
-                        bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0;
+                        const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0;
 
                         auto & layer = layers[i];
 
@@ -3073,7 +2892,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
 
                         if (is_moe_layer) {
-                            int n_ff_exp = hparams.n_ff_exp;
+                            const int64_t n_ff_exp = hparams.n_ff_exp;
 
                             layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
                             layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
@@ -3160,8 +2979,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_MINICPM3:
                 {
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot;
-                    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot;
+                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+                    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
 
                     const int64_t q_lora_rank  = hparams.n_lora_q;
                     const int64_t kv_lora_rank = hparams.n_lora_kv;
@@ -3204,7 +3023,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             case LLM_ARCH_GROK:
                 {
                     if (n_expert == 0) {
-                        throw std::runtime_error("Grok model cannot have zero experts");
+                        throw std::runtime_error(arch_name() + " model cannot have zero experts");
                     }
 
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
@@ -3376,6 +3195,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
             case LLM_ARCH_NOMIC_BERT_MOE:
             case LLM_ARCH_JINA_BERT_V3:
                 {
+                    if (n_token_types == 0) {
+                        throw std::runtime_error(arch_name() + " model needs to define token type count");
+                    }
                     tok_embd     = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
                     type_embd    = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED);
 
@@ -3460,9 +3282,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
                     }
 
-                    cls       = create_tensor(tn(LLM_TENSOR_CLS,     "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
-                    cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
-                    cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+                    cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT,  "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+                    cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT,  "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+                    cls       = create_tensor(tn(LLM_TENSOR_CLS,      "weight"), {n_embd, n_embd},            TENSOR_NOT_REQUIRED);
+                    cls_norm  = create_tensor(tn(LLM_TENSOR_CLS_NORM, "weight"), {n_embd},                    TENSOR_NOT_REQUIRED);
 
                 } break;
             case LLM_ARCH_NEO_BERT:
@@ -3491,6 +3314,29 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
                     }
                 } break;
+            case LLM_ARCH_EUROBERT:
+                {
+                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        auto & layer = layers[i];
+
+                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
+                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
+                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
+                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+                    }
+                } break;
             case LLM_ARCH_JINA_BERT_V2:
                 {
                     tok_embd  = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0); // word_embeddings
@@ -3618,8 +3464,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
                         layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
 
-                        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
+                        // FIXME test-llama-archs crashes if q_norm is created
+                        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+                        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
 
                         layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
                         layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
@@ -4005,8 +3852,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     const int64_t dt_dim              = std::max(64, int(hparams.n_embd / 16));
 
                     // attention parameters
-                    const uint32_t qk_dim = hparams.n_embd_head_k;
-                    const uint32_t v_dim  = hparams.n_embd_head_v;
+                    const uint32_t qk_dim = hparams.n_embd_head_k();
+                    const uint32_t v_dim  = hparams.n_embd_head_v();
 
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
@@ -4066,8 +3913,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_PLAMO3:
                 {
-                    const int64_t head_dim_q = hparams.n_embd_head_k;
-                    const int64_t head_dim_v = hparams.n_embd_head_v;
+                    const int64_t head_dim_q = hparams.n_embd_head_k();
+                    const int64_t head_dim_v = hparams.n_embd_head_v();
 
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
@@ -4814,7 +4661,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_SEED_OSS:
                 {
-                    const uint32_t head_dim             = hparams.n_embd_head_k;
+                    const uint32_t head_dim             = hparams.n_embd_head_k();
                     const int64_t n_qo_dim              = n_head * head_dim;
                     const int64_t n_kv_dim              = n_head_kv * head_dim;
 
@@ -5043,8 +4890,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
                     const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
 
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot;
+                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
                     const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;
+                    GGML_ASSERT(n_embd_head_qk_nope >= 1);
 
                     const int64_t q_lora_rank  = hparams.n_lora_q;
                     const int64_t kv_lora_rank = hparams.n_lora_kv;
@@ -5109,9 +4957,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                             }
 
                             // MoE branch
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
                             layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+                            create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
 
                             // Shared expert branch
                             layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
@@ -5122,8 +4969,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_PLM:
                 {
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot;
-                    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot;
+                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+                    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
                     const int64_t kv_lora_rank = hparams.n_lora_kv;
 
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
@@ -5163,23 +5010,23 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.attn_sub_norm = create_tensor(tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd}, 0);
 
                         layer.wq       = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wq_scale = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.wq_s     = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
                         layer.wk       = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wk_scale = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.wk_s     = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
                         layer.wv       = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv_scale = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.wv_s     = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
                         layer.wo       = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wo_scale = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.wo_s     = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm     = create_tensor(tn(LLM_TENSOR_FFN_NORM,     "weight", i), {n_embd}, 0);
                         layer.ffn_sub_norm = create_tensor(tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff}, 0);
 
                         layer.ffn_gate       = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_gate_scale = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
                         layer.ffn_down       = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_scale = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
                         layer.ffn_up         = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_scale   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+                        layer.ffn_up_s   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
                     }
                 } break;
             case LLM_ARCH_T5:
@@ -5237,7 +5084,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                         layer.attn_norm_cross  = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM,  "weight", i), {n_embd}, 0);
                         // this tensor seems to be unused in HF transformers implementation
-                        layer.attn_rel_b_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
+                        layer.attn_rel_b_cross = create_tensor(
+                            tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
 
                         layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
                         layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
@@ -5315,6 +5163,45 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
                     }
                 } break;
+            case LLM_ARCH_JAIS2:
+                {
+                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+                    // output
+                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+                    if (!output) {
+                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        auto & layer = layers[i];
+
+                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
+                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0);
+                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0);
+                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+                        // attention biases - all have shape n_embd (output dimension of projections)
+                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0);
+                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0);
+                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0);
+                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+                        // Jais-2 uses simple MLP (no gate) with biases
+                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
+                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+                    }
+                } break;
             case LLM_ARCH_CHATGLM:
                 {
                     tok_embd   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab}, 0);
@@ -5365,30 +5252,48 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     }
 
                     for (int i = 0; i < n_layer; ++i) {
+                        int flags = 0;
+                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+                            // skip all tensors in the NextN layers
+                            flags |= TENSOR_SKIP;
+                        }
+
                         auto & layer = layers[i];
 
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
+                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
+                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
+                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
 
                         if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
+                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, flags);
+                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, flags);
+                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, flags);
+                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, flags | TENSOR_NOT_REQUIRED);
+                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
+                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
                         }
 
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags);
 
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, flags);
 
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, 0);
+                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
+                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
+                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, flags);
 
-                        layer.ffn_post_norm  = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+                        layer.ffn_post_norm  = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, flags);
+
+                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
+                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
+                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
+
+                            // Optional tensors
+                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
+                        }
                     }
                 } break;
             case LLM_ARCH_GLM4_MOE:
@@ -5492,6 +5397,108 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     }
                 }
                 break;
+            case LLM_ARCH_GLM_DSA:
+                {
+                    const bool is_mla = hparams.is_mla();
+                    if (!is_mla) {
+                        throw std::runtime_error("GLM_DSA architecture requires MLA");
+                    }
+
+                    // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA
+                    const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
+                    const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
+
+                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+                    const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;
+
+                    const int64_t q_lora_rank  = hparams.n_lora_q;
+                    const int64_t kv_lora_rank = hparams.n_lora_kv;
+
+                    const int64_t n_ff_exp        = hparams.n_ff_exp;
+                    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+                    // output
+                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+                    // try to load output.weight, if not found, use token_embd (tied embeddings)
+                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+                    if (!output) {
+                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        int flags = 0;
+                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+                            // skip all tensors in the NextN layers
+                            // TODO @ngxson : TENSOR_NOT_REQUIRED was a hack, need to remove it later
+                            flags |= TENSOR_SKIP | TENSOR_NOT_REQUIRED;
+                        }
+
+                        auto & layer = layers[i];
+
+                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
+                        layer.attn_q_a_norm  = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, flags);
+                        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, flags);
+
+                        layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, flags);
+                        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, flags);
+
+                        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, flags);
+
+                        // note: only old legacy GGUF files will have the unsplit wkv_b tensor in
+                        layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, flags);
+                        layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, flags);
+
+                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, flags);
+
+                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
+
+                        // DSA indexer
+                        layer.indexer_k_norm   = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM,   "weight", i), {hparams.indexer_head_size}, flags);
+                        layer.indexer_k_norm_b = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM,   "bias",   i), {hparams.indexer_head_size}, flags);
+                        layer.indexer_proj     = create_tensor(tn(LLM_TENSOR_INDEXER_PROJ,     "weight", i), {n_embd, hparams.indexer_n_head}, flags);
+                        layer.indexer_attn_k   = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_K,   "weight", i), {n_embd, hparams.indexer_head_size}, flags);
+                        layer.indexer_attn_q_b = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_Q_B, "weight", i), {q_lora_rank, hparams.indexer_n_head * hparams.indexer_head_size}, flags);
+                        if (i < (int) hparams.n_layer_dense_lead) {
+                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, flags);
+                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
+                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, flags);
+                        } else {
+                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags);
+                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+                            if (n_expert == 0) {
+                                throw std::runtime_error("n_expert must be > 0");
+                            }
+                            if (n_expert_used == 0) {
+                                throw std::runtime_error("n_expert_used must be > 0");
+                            }
+
+                            // MoE branch
+                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
+                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, flags);
+                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
+
+                            // Shared expert branch
+                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags);
+                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, flags);
+                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags);
+                        }
+
+                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
+                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
+                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
+
+                            // Optional tensors
+                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
+                        }
+                    }
+                } break;
             case LLM_ARCH_NEMOTRON:
                 {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
@@ -5540,6 +5547,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     const int64_t n_ssm_head = hparams.ssm_dt_rank;
                     const int64_t n_group    = hparams.ssm_n_group;
                     const int64_t d_in_proj  = 2*d_inner + 2*n_group*d_state + n_ssm_head;
+                    const int64_t moe_n_embd = hparams.moe_latent_size > 0 ? hparams.moe_latent_size : n_embd;
 
                     // embeddings
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
@@ -5599,8 +5607,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                                 layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert         }, 0);
 
                                 // MoE branch
-                                layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                                layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+                                layer.ffn_latent_down = create_tensor(tn(LLM_TENSOR_FFN_LATENT_DOWN, "weight", i), {n_embd, moe_n_embd}, TENSOR_NOT_REQUIRED);
+                                layer.ffn_latent_up   = create_tensor(tn(LLM_TENSOR_FFN_LATENT_UP,   "weight", i), {moe_n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+
+                                layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   moe_n_embd, n_expert}, 0);
+                                layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {moe_n_embd, n_ff_exp, n_expert}, 0);
 
                                 // Shared expert branch
                                 layer.ffn_down_shexp  = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
@@ -5684,8 +5695,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     const int64_t n_ff_exp       = hparams.n_ff_exp;
                     const int64_t n_expert       = hparams.n_expert;
                     const int64_t n_expert_used  = hparams.n_expert_used;
-                    const int64_t n_ff_shexp     = hparams.n_ff_shexp;
-                    const int64_t head_dim       = hparams.n_embd_head_k;
+                    const int64_t n_ff_shexp     = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp;
+                    const int64_t head_dim       = hparams.n_embd_head_k();
                     const int64_t n_qo_dim       = n_head * head_dim;
                     const int64_t n_kv_dim       = n_head_kv * head_dim;
 
@@ -6402,6 +6413,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_ERNIE4_5:
             case LLM_ARCH_ERNIE4_5_MOE:
+            case LLM_ARCH_PADDLEOCR:
                 {
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
@@ -6544,6 +6556,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
+                        const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i);
 
                         layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
@@ -6562,9 +6575,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
                         layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
 
-                        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
-                        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
-                        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+                        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0);
+                        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
+                        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
                     }
                 } break;
             case LLM_ARCH_HUNYUAN_DENSE:
@@ -6722,7 +6735,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     }
 
                     // for LFM2-ColBert-350M
-                    dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED);
+                    dense_2_out_layers   = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED);
+                    dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"),   {hparams.n_embd_out()        }, TENSOR_NOT_REQUIRED);
                 } break;
             case LLM_ARCH_SMALLTHINKER:
                 {
@@ -6899,15 +6913,14 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda;
                         const int64_t ssm_d_conv = hparams.ssm_d_conv;
 
-                        // Try loading KDA specific tensors (using SSM_ prefix)
-                        // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1)
-                        // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner]
-                        layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
-                        if (!layer.ssm_q_conv) {
-                            layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, TENSOR_NOT_REQUIRED);
-                        }
+                        if (hparams.is_recurrent(i)) {
+                            // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1)
+                            // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner]
+                            layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
+                            if (!layer.ssm_q_conv) {
+                                layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0);
+                            }
 
-                        if (layer.ssm_q_conv) {
                              // KDA Layer - Conv1d weights may be 3D or 4D
                              layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
                              if (!layer.ssm_k_conv) {
@@ -6971,10 +6984,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                              // Kimi: qk_rope_head_dim = 64 (actual RoPE dimension for MLA)
                              // Note: hparams.n_rot may be 72 (from conversion) but actual is 64
-                             const int64_t qk_rope_head_dim = hparams.n_rot;  // From config: qk_rope_head_dim
+                             const int64_t qk_rope_head_dim = hparams.n_rot();  // From config: qk_rope_head_dim
                              layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0);
                              // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled)
-                             layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED);
+                             layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i),
+                                {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
                              if (!layer.wkv_b) { // MLA KV cache enabled
                                  layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0);
                                  layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0);
@@ -7094,6 +7108,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 } break;
             case LLM_ARCH_QWEN3NEXT:
                 {
+                    if (n_expert == 0) {
+                        throw std::runtime_error(arch_name() + " model cannot have zero experts");
+                    }
+
                     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
 
                     // output
@@ -7122,6 +7140,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
                     for (int i = 0; i < n_layer; ++i) {
                         auto & layer = layers[i];
+                        const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i);
 
                         layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
                         layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
@@ -7152,15 +7171,14 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         }
 
                         layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert }, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
                         layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
+                        create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
 
                         // Shared experts
                         layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0);
-                        layer.ffn_gate_shexp     = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP,     "weight", i), { n_embd, hparams.n_ff_shexp }, 0);
-                        layer.ffn_up_shexp       = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,       "weight", i), { n_embd, hparams.n_ff_shexp }, 0);
-                        layer.ffn_down_shexp     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP,     "weight", i), { hparams.n_ff_shexp, n_embd }, 0);
+                        layer.ffn_gate_shexp     = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP,     "weight", i), { n_embd, n_ff_shexp }, 0);
+                        layer.ffn_up_shexp       = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,       "weight", i), { n_embd, n_ff_shexp }, 0);
+                        layer.ffn_down_shexp     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP,     "weight", i), { n_ff_shexp, n_embd }, 0);
                     }
                 } break;
             case LLM_ARCH_QWEN35MOE:
@@ -7218,9 +7236,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         }
 
                         layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert }, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
                         layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
+                        create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
 
                         // Shared experts
                         const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff;
@@ -7338,7 +7355,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                     // ("rope_freqs.weight") and ggml uses only the first (n_rot_l/2) entries per layer.
                     uint32_t n_rot_max = 0;
                     for (int i = 0; i < n_layer; ++i) {
-                        n_rot_max = std::max(n_rot_max, hparams.n_rot);
+                        n_rot_max = std::max(n_rot_max, hparams.n_rot(i));
                     }
                     if (n_rot_max == 0) {
                         n_rot_max = n_rot;
@@ -7427,10 +7444,46 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                 throw std::runtime_error("unknown architecture");
         }
 
-        if (n_moved_tensors > 0) {
-            LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %d others) cannot be used with preferred buffer type %s, using %s instead\n",
-                __func__, first_moved_tensor->name, ggml_type_name(first_moved_tensor->type), n_moved_tensors - 1,
-                ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft));
+        // generic pass: load optional per-tensor/per-expert ".scale" tensors (e.g. NVFP4 scale2)
+        // this avoids having to add scale loading to every architecture
+        for (int i = 0; i < n_layer; ++i) {
+            auto & layer = layers[i];
+
+            // attention weight scales (per-tensor, shape {1})
+            if (!layer.wq_s && layer.wq) {
+                layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wk_s && layer.wk) {
+                layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wv_s && layer.wv) {
+                layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wo_s && layer.wo) {
+                layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+
+            // dense FFN weight scales (per-tensor, shape {1})
+            if (!layer.ffn_gate_s && layer.ffn_gate) {
+                layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_s && layer.ffn_down) {
+                layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_s && layer.ffn_up) {
+                layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+
+            // MoE expert weight scales (per-expert, shape {n_expert})
+            if (!layer.ffn_gate_exps_s && layer.ffn_gate_exps) {
+                layer.ffn_gate_exps_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_exps_s && layer.ffn_down_exps) {
+                layer.ffn_down_exps_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_exps_s && layer.ffn_up_exps) {
+                layer.ffn_up_exps_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
         }
     }
 
@@ -7441,13 +7494,13 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
 
     // create the backend buffers
     std::vector<std::pair<ggml_context *, llama_buf_map>> ctx_buf_maps;
-    ctx_buf_maps.reserve(ctx_map.size());
+    ctx_buf_maps.reserve(ml.ctx_map.size());
 
     // Ensure we have enough capacity for the maximum backend buffer we will potentially create
-    const size_t n_max_backend_buffer = ctx_map.size() * ml.files.size();
+    const size_t n_max_backend_buffer = ml.ctx_map.size() * ml.files.size();
     pimpl->ctxs_bufs.reserve(n_max_backend_buffer);
 
-    for (auto & [buft, ctx_ptr] : ctx_map) {
+    for (auto & [buft, ctx_ptr] : ml.ctx_map) {
         ggml_context * ctx = ctx_ptr.get();
 
         // skip contexts without tensors
@@ -7679,11 +7732,11 @@ void llama_model::print_info() const {
         LLAMA_LOG_INFO("%s: n_layer               = %u\n",     __func__, hparams.n_layer);
         LLAMA_LOG_INFO("%s: n_head                = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_head(il);    }, hparams.n_layer).c_str());
         LLAMA_LOG_INFO("%s: n_head_kv             = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_head_kv(il); }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: n_rot                 = %u\n",     __func__, hparams.n_rot);
+        LLAMA_LOG_INFO("%s: n_rot                 = %u\n",     __func__, hparams.n_rot_full);
         LLAMA_LOG_INFO("%s: n_swa                 = %u\n",     __func__, hparams.n_swa);
         LLAMA_LOG_INFO("%s: is_swa_any            = %u\n",     __func__, hparams.is_swa_any());
-        LLAMA_LOG_INFO("%s: n_embd_head_k         = %u\n",     __func__, hparams.n_embd_head_k);
-        LLAMA_LOG_INFO("%s: n_embd_head_v         = %u\n",     __func__, hparams.n_embd_head_v);
+        LLAMA_LOG_INFO("%s: n_embd_head_k         = %u\n",     __func__, hparams.n_embd_head_k_full);
+        LLAMA_LOG_INFO("%s: n_embd_head_v         = %u\n",     __func__, hparams.n_embd_head_v_full);
         LLAMA_LOG_INFO("%s: n_gqa                 = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_gqa(il);        }, hparams.n_layer).c_str());
         LLAMA_LOG_INFO("%s: n_embd_k_gqa          = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_embd_k_gqa(il); }, hparams.n_layer).c_str());
         LLAMA_LOG_INFO("%s: n_embd_v_gqa          = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_embd_v_gqa(il); }, hparams.n_layer).c_str());
@@ -7707,6 +7760,9 @@ void llama_model::print_info() const {
         if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
             LLAMA_LOG_INFO("%s: freq_base_swa         = %.1f\n",   __func__, hparams.rope_freq_base_train_swa);
             LLAMA_LOG_INFO("%s: freq_scale_swa        = %g\n",     __func__, hparams.rope_freq_scale_train_swa);
+            LLAMA_LOG_INFO("%s: n_embd_head_k_swa     = %u\n",     __func__, hparams.n_embd_head_k_swa);
+            LLAMA_LOG_INFO("%s: n_embd_head_v_swa     = %u\n",     __func__, hparams.n_embd_head_v_swa);
+            LLAMA_LOG_INFO("%s: n_rot_swa             = %u\n",     __func__, hparams.n_rot_swa);
         }
         LLAMA_LOG_INFO("%s: n_ctx_orig_yarn       = %u\n",     __func__, hparams.n_ctx_orig_yarn);
         LLAMA_LOG_INFO("%s: rope_yarn_log_mul     = %.4f\n",   __func__, hparams.rope_yarn_log_mul);
@@ -7765,7 +7821,7 @@ void llama_model::print_info() const {
         LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
     }
 
-    if (arch == LLM_ARCH_DEEPSEEK2) {
+    if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA) {
         LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
         LLAMA_LOG_INFO("%s: n_lora_q              = %d\n",     __func__, hparams.n_lora_q);
         LLAMA_LOG_INFO("%s: n_lora_kv             = %d\n",     __func__, hparams.n_lora_kv);
@@ -7941,6 +7997,7 @@ llama_memory_i * llama_model::create_memory(const llama_memory_params & params,
         case LLM_ARCH_NOMIC_BERT:
         case LLM_ARCH_NOMIC_BERT_MOE:
         case LLM_ARCH_NEO_BERT:
+        case LLM_ARCH_EUROBERT:
         case LLM_ARCH_WAVTOKENIZER_DEC:
         case LLM_ARCH_MODERN_BERT:
         case LLM_ARCH_GEMMA_EMBEDDING:
@@ -7965,7 +8022,6 @@ llama_memory_i * llama_model::create_memory(const llama_memory_params & params,
                             cparams.n_seq_max,
                             nullptr);
                 } else if (llm_arch_is_hybrid(arch)) {
-
                     // The main difference between hybrid architectures is the
                     // layer filters, so pick the right one here
                     llama_memory_hybrid::layer_filter_cb filter_attn = nullptr;
@@ -7990,7 +8046,7 @@ llama_memory_i * llama_model::create_memory(const llama_memory_params & params,
                             /* attn_type_v       */ params.type_v,
                             /* attn_v_trans      */ !cparams.flash_attn,
                             /* attn_swa_full     */ params.swa_full,
-                            /* attn_kv_size      */ cparams.n_ctx,
+                            /* attn_kv_size      */ cparams.n_ctx_seq,
                             /* attn_n_ubatch     */ cparams.n_ubatch,
                             /* attn_n_pad        */ 1,
                             /* recurrent_type_r  */ GGML_TYPE_F32,
@@ -8007,7 +8063,7 @@ llama_memory_i * llama_model::create_memory(const llama_memory_params & params,
                             /* attn_type_k       */ params.type_k,
                             /* attn_type_v       */ params.type_v,
                             /* attn_v_trans      */ !cparams.flash_attn,
-                            /* attn_kv_size      */ cparams.n_ctx,
+                            /* attn_kv_size      */ cparams.n_ctx_seq,
                             /* attn_n_pad        */ 1,
                             /* attn_n_swa        */ hparams.n_swa,
                             /* attn_swa_type     */ hparams.swa_type,
@@ -8139,6 +8195,10 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
             {
                 llm = std::make_unique<llm_build_neo_bert>(*this, params);
             } break;
+        case LLM_ARCH_EUROBERT:
+            {
+                llm = std::make_unique<llm_build_eurobert>(*this, params);
+            } break;
         case LLM_ARCH_BLOOM:
             {
                 llm = std::make_unique<llm_build_bloom>(*this, params);
@@ -8338,6 +8398,7 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
                 llm = std::make_unique<llm_build_deepseek>(*this, params);
             } break;
         case LLM_ARCH_DEEPSEEK2:
+        case LLM_ARCH_GLM_DSA:
             {
                 llm = std::make_unique<llm_build_deepseek2>(*this, params);
             } break;
@@ -8380,6 +8441,10 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
             {
                 llm = std::make_unique<llm_build_jais>(*this, params);
             } break;
+        case LLM_ARCH_JAIS2:
+            {
+                llm = std::make_unique<llm_build_jais2>(*this, params);
+            } break;
         case LLM_ARCH_NEMOTRON:
             {
                 llm = std::make_unique<llm_build_nemotron>(*this, params);
@@ -8475,6 +8540,10 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
             {
                 llm = std::make_unique<llm_build_ernie4_5_moe>(*this, params);
             } break;
+        case LLM_ARCH_PADDLEOCR:
+            {
+                llm = std::make_unique<llm_build_paddleocr>(*this, params);
+            } break;
         case LLM_ARCH_HUNYUAN_MOE:
             {
                 llm = std::make_unique<llm_build_hunyuan_moe>(*this, params);
@@ -8498,7 +8567,11 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
         case LLM_ARCH_LFM2:
         case LLM_ARCH_LFM2MOE:
             {
-                llm = std::make_unique<llm_build_lfm2>(*this, params);
+                if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+                    llm = std::make_unique<llm_build_lfm2<true>>(*this, params);
+                } else {
+                    llm = std::make_unique<llm_build_lfm2<false>>(*this, params);
+                }
             } break;
         case LLM_ARCH_SMALLTHINKER:
             {
@@ -8561,7 +8634,7 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
     }
 
     // add on pooling layer
-    llm->build_pooling(cls, cls_b, cls_out, cls_out_b);
+    llm->build_pooling(cls, cls_b, cls_out, cls_out_b, cls_norm);
 
     // add backend sampling layers (if any)
     llm->build_sampling();
@@ -8570,7 +8643,7 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
     // there will be two additional dense projection layers
     // dense linear projections are applied after pooling
     // TODO: move reranking logic here and generalize
-    llm->build_dense_out(dense_2_out_layers, dense_3_out_layers);
+    llm->build_dense_out(dense_2_out_layers, dense_2_out_layers_b, dense_3_out_layers);
 
     llm->res->set_outputs();
 
@@ -8739,6 +8812,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
         case LLM_ARCH_MISTRAL3:
         case LLM_ARCH_LLAMA_EMBED:
         case LLM_ARCH_MAINCODER:
+        case LLM_ARCH_GLM_DSA:
             return LLAMA_ROPE_TYPE_NORM;
 
         // the pairs of head values are offset by n_rot/2
@@ -8751,6 +8825,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
         case LLM_ARCH_MODERN_BERT:
         case LLM_ARCH_NOMIC_BERT:
         case LLM_ARCH_NOMIC_BERT_MOE:
+        case LLM_ARCH_EUROBERT:
         case LLM_ARCH_STABLELM:
         case LLM_ARCH_BITNET:
         case LLM_ARCH_QWEN:
@@ -8787,6 +8862,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
         case LLM_ARCH_BAILINGMOE2:
         case LLM_ARCH_DOTS1:
         case LLM_ARCH_HUNYUAN_MOE:
+        case LLM_ARCH_JAIS2:
         case LLM_ARCH_OPENAI_MOE:
         case LLM_ARCH_HUNYUAN_DENSE:
         case LLM_ARCH_LFM2:
@@ -8805,6 +8881,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
             return LLAMA_ROPE_TYPE_NEOX;
 
         case LLM_ARCH_QWEN2VL:
+        case LLM_ARCH_PADDLEOCR:
             return LLAMA_ROPE_TYPE_MROPE;
         case LLM_ARCH_QWEN3VL:
         case LLM_ARCH_QWEN3VLMOE:
diff --git a/src/llama-model.h b/src/llama-model.h
index adc8ff64790..9a2dacecca8 100644
--- a/src/llama-model.h
+++ b/src/llama-model.h
@@ -54,6 +54,7 @@ enum llm_type {
     LLM_TYPE_0_3B,
     LLM_TYPE_0_5B,
     LLM_TYPE_0_6B,
+    LLM_TYPE_0_8B,
     LLM_TYPE_1B,
     LLM_TYPE_1_2B,
     LLM_TYPE_1_3B,
@@ -116,6 +117,7 @@ enum llm_type {
     LLM_TYPE_8B_A1B, // lfm2moe
     LLM_TYPE_16B_A1B,
     LLM_TYPE_21B_A3B, // Ernie MoE small
+    LLM_TYPE_24B_A2B, // lfm2moe
     LLM_TYPE_30B_A3B,
     LLM_TYPE_31B_A3_5B,
     LLM_TYPE_35B_A3B, // Qwen3.5
@@ -124,12 +126,16 @@ enum llm_type {
     LLM_TYPE_100B_A6B,
     LLM_TYPE_102B_A12B, // Solar-Open
     LLM_TYPE_106B_A12B, // GLM-4.5-Air
+    LLM_TYPE_120B_A12B, // Nemotron 3 Super
+    LLM_TYPE_122B_A10B, // Qwen3.5
     LLM_TYPE_196B_A11B, // Step3.5-Flash
     LLM_TYPE_230B_A10B, // Minimax M2
     LLM_TYPE_235B_A22B,
     LLM_TYPE_300B_A47B, // Ernie MoE big
     LLM_TYPE_310B_A15B, // /MiMo-V2-Flash
     LLM_TYPE_355B_A32B, // GLM-4.5
+    LLM_TYPE_397B_A17B, // Qwen3.5
+    LLM_TYPE_744B_A40B, // GLM-5
     LLM_TYPE_E2B,
     LLM_TYPE_E4B,
 };
@@ -278,14 +284,25 @@ struct llama_layer {
     struct ggml_tensor * ffn_up_enc   = nullptr;
 
     // ff MoE
-    struct ggml_tensor * ffn_gate_inp    = nullptr;
-    struct ggml_tensor * ffn_gate_exps   = nullptr;
-    struct ggml_tensor * ffn_down_exps   = nullptr;
-    struct ggml_tensor * ffn_up_exps     = nullptr;
-    struct ggml_tensor * ffn_gate_inp_b  = nullptr;
-    struct ggml_tensor * ffn_gate_exps_b = nullptr;
-    struct ggml_tensor * ffn_down_exps_b = nullptr;
-    struct ggml_tensor * ffn_up_exps_b   = nullptr;
+    struct ggml_tensor * ffn_gate_inp      = nullptr;
+    struct ggml_tensor * ffn_gate_exps     = nullptr;
+    struct ggml_tensor * ffn_down_exps     = nullptr;
+    struct ggml_tensor * ffn_up_exps       = nullptr;
+    struct ggml_tensor * ffn_gate_up_exps  = nullptr;
+    struct ggml_tensor * ffn_gate_inp_b    = nullptr;
+    struct ggml_tensor * ffn_gate_exps_b   = nullptr;
+    struct ggml_tensor * ffn_down_exps_b   = nullptr;
+    struct ggml_tensor * ffn_up_exps_b     = nullptr;
+    struct ggml_tensor * ffn_gate_up_exps_b = nullptr;
+
+    // ff MoE per-expert scales (NVFP4 per-tensor scale2)
+    struct ggml_tensor * ffn_gate_exps_s   = nullptr;
+    struct ggml_tensor * ffn_down_exps_s   = nullptr;
+    struct ggml_tensor * ffn_up_exps_s     = nullptr;
+
+    // ff MoE latent proj
+    struct ggml_tensor * ffn_latent_down = nullptr;
+    struct ggml_tensor * ffn_latent_up   = nullptr;
 
     // ff shared expert (shexp)
     struct ggml_tensor * ffn_gate_inp_shexp = nullptr;
@@ -380,13 +397,13 @@ struct llama_layer {
     struct ggml_tensor * rope_freqs = nullptr;
 
     // bitnet scale
-    struct ggml_tensor * wq_scale       = nullptr;
-    struct ggml_tensor * wk_scale       = nullptr;
-    struct ggml_tensor * wv_scale       = nullptr;
-    struct ggml_tensor * wo_scale       = nullptr;
-    struct ggml_tensor * ffn_gate_scale = nullptr;
-    struct ggml_tensor * ffn_up_scale   = nullptr;
-    struct ggml_tensor * ffn_down_scale = nullptr;
+    struct ggml_tensor * wq_s       = nullptr;
+    struct ggml_tensor * wk_s       = nullptr;
+    struct ggml_tensor * wv_s       = nullptr;
+    struct ggml_tensor * wo_s       = nullptr;
+    struct ggml_tensor * ffn_gate_s = nullptr;
+    struct ggml_tensor * ffn_up_s   = nullptr;
+    struct ggml_tensor * ffn_down_s = nullptr;
 
     // altup & laurel
     struct ggml_tensor * per_layer_inp_gate   = nullptr;
@@ -429,6 +446,13 @@ struct llama_layer {
     struct ggml_tensor * ssm_g_b    = nullptr;
     struct ggml_tensor * ssm_o_norm = nullptr;
 
+    // DSA (deepseek sparse attention)
+    struct ggml_tensor * indexer_k_norm   = nullptr;
+    struct ggml_tensor * indexer_k_norm_b = nullptr;
+    struct ggml_tensor * indexer_proj     = nullptr;
+    struct ggml_tensor * indexer_attn_k   = nullptr;
+    struct ggml_tensor * indexer_attn_q_b = nullptr; // note: for lora a/b, not bias
+
     struct llama_layer_posnet posnet;
 
     struct llama_layer_convnext convnext;
@@ -467,6 +491,7 @@ struct llama_model {
     struct ggml_tensor * cls_b     = nullptr;
     struct ggml_tensor * cls_out   = nullptr;
     struct ggml_tensor * cls_out_b = nullptr;
+    struct ggml_tensor * cls_norm  = nullptr;
 
     struct ggml_tensor * conv1d   = nullptr;
     struct ggml_tensor * conv1d_b = nullptr;
@@ -483,8 +508,9 @@ struct llama_model {
     //Dense linear projections for SentenceTransformers models like embeddinggemma
     // For Sentence Transformers models structure see
     // https://sbert.net/docs/sentence_transformer/usage/custom_models.html#structure-of-sentence-transformer-models
-    struct ggml_tensor * dense_2_out_layers = nullptr;
-    struct ggml_tensor * dense_3_out_layers = nullptr;
+    struct ggml_tensor * dense_2_out_layers   = nullptr;
+    struct ggml_tensor * dense_2_out_layers_b = nullptr;
+    struct ggml_tensor * dense_3_out_layers   = nullptr;
 
     // gguf metadata
     std::unordered_map<std::string, std::string> gguf_kv;
diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index a7891647c3d..8e8ce231249 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -1,11 +1,11 @@
-#include "llama-quant.h"
+#include "llama.h"
 #include "llama-impl.h"
 #include "llama-model.h"
 #include "llama-model-loader.h"
 
-#include <algorithm>
 #include <cmath>
 #include <cstring>
+#include <string>
 #include <cinttypes>
 #include <fstream>
 #include <mutex>
@@ -13,10 +13,28 @@
 #include <thread>
 #include <unordered_map>
 
-// Quantization types. Changes to this struct must be replicated in quantize.cpp
-struct tensor_quantization {
+// result of parsing --tensor-type option
+// (changes to this struct must be reflected in tools/quantize/quantize.cpp)
+struct tensor_type_option {
     std::string name;
-    ggml_type quant = GGML_TYPE_COUNT;
+    ggml_type type = GGML_TYPE_COUNT;
+};
+
+// tensor categorization - used to avoid repeated string matching in quantization logic.
+// this is different from LLM_TN - we want broad categories, not specific tensor names per arch.
+enum class tensor_category {
+    TOKEN_EMBD,
+    ATTENTION_Q,
+    ATTENTION_V,
+    ATTENTION_K,
+    ATTENTION_QKV,
+    ATTENTION_KV_B,
+    ATTENTION_OUTPUT,
+    FFN_UP,
+    FFN_GATE,
+    FFN_DOWN,
+    OUTPUT,
+    OTHER
 };
 
 static void zeros(std::ofstream & file, size_t n) {
@@ -54,7 +72,7 @@ static std::string remap_layer(const std::string & orig_name, const std::vector<
     return orig_name;
 }
 
-static std::string remap_imatrix (const std::string & orig_name, const std::map<int, std::string> & mapped) {
+static std::string remap_imatrix(const std::string & orig_name, const std::map<int, std::string> & mapped) {
     if (mapped.empty()) {
         return orig_name;
     }
@@ -76,6 +94,73 @@ static std::string remap_imatrix (const std::string & orig_name, const std::map<
     return orig_name;
 }
 
+//
+// helper functions for tensor name matching
+//
+
+static bool tensor_name_match_token_embd(const char * tensor_name) {
+    return std::strcmp(tensor_name, "token_embd.weight") == 0 ||
+           std::strcmp(tensor_name, "per_layer_token_embd.weight") == 0;
+}
+
+static bool tensor_name_match_output_weight(const char * tensor_name) {
+    return std::strcmp(tensor_name, "output.weight") == 0;
+}
+
+//
+// tensor categorization for quantization
+//
+// (this is different from LLM_TN - we want broad categories, not specific tensor names per arch)
+//
+
+static tensor_category tensor_get_category(const std::string & tensor_name) {
+    if (tensor_name_match_output_weight(tensor_name.c_str())) {
+        return tensor_category::OUTPUT;
+    }
+    if (tensor_name_match_token_embd(tensor_name.c_str())) {
+        return tensor_category::TOKEN_EMBD;
+    }
+    if (tensor_name.find("attn_qkv.weight") != std::string::npos) {
+        return tensor_category::ATTENTION_QKV;
+    }
+    if (tensor_name.find("attn_kv_b.weight") != std::string::npos) {
+        return tensor_category::ATTENTION_KV_B;
+    }
+    if (tensor_name.find("attn_v.weight") != std::string::npos) {
+        return tensor_category::ATTENTION_V;
+    }
+    if (tensor_name.find("attn_k.weight") != std::string::npos) {
+        return tensor_category::ATTENTION_K;
+    }
+    if (tensor_name.find("attn_q.weight") != std::string::npos) {
+        return tensor_category::ATTENTION_Q;
+    }
+    if (tensor_name.find("attn_output.weight") != std::string::npos) {
+        return tensor_category::ATTENTION_OUTPUT;
+    }
+    if (tensor_name.find("ffn_up") != std::string::npos) {
+        return tensor_category::FFN_UP;
+    }
+    if (tensor_name.find("ffn_gate") != std::string::npos) {
+        return tensor_category::FFN_GATE;
+    }
+    if (tensor_name.find("ffn_down") != std::string::npos) {
+        return tensor_category::FFN_DOWN;
+    }
+    return tensor_category::OTHER;
+}
+
+// check if category is for attention-v-like tensors (more sensitive to quantization)
+static bool category_is_attn_v(tensor_category cat) {
+    return cat == tensor_category::ATTENTION_V     ||
+           cat == tensor_category::ATTENTION_QKV   ||
+           cat == tensor_category::ATTENTION_KV_B;
+}
+
+//
+// quantization state
+//
+
 struct quantize_state_impl {
     const llama_model                 & model;
     const llama_model_quantize_params * params;
@@ -89,20 +174,42 @@ struct quantize_state_impl {
     int i_ffn_gate     = 0;
     int i_ffn_up       = 0;
 
-    int n_k_quantized = 0;
     int n_fallback    = 0;
 
     bool has_imatrix = false;
 
-    // used to figure out if a model shares tok_embd with the output weight
-    bool has_output = false;
+    // used to figure out if a model has tied embeddings (tok_embd shares weights with output)
+    bool has_tied_embeddings = true; // assume tied until we see output.weight
+
+    // tensor type override patterns (compiled once, used twice)
+    std::vector<std::pair<std::regex, ggml_type>> tensor_type_patterns;
+
+    quantize_state_impl(const llama_model & model, const llama_model_quantize_params * params):
+        model(model), params(params)
+    {
+        // compile regex patterns once - they are expensive
+        if (params->tensor_types) {
+            const auto & tensor_types = *static_cast<const std::vector<tensor_type_option> *>(params->tensor_types);
+            for (const auto & [tname, qtype] : tensor_types) {
+                tensor_type_patterns.emplace_back(std::regex(tname), qtype);
+            }
+        }
+    }
+};
 
-    quantize_state_impl(const llama_model & model, const llama_model_quantize_params * params)
-        : model(model)
-        , params(params)
-        {}
+// per-tensor metadata, computed in the preliminary loop and used in the main loop
+struct tensor_metadata {
+    ggml_type       target_type;
+    tensor_category category;
+    std::string     remapped_imatrix_name;
+    bool            allows_quantization;
+    bool            requires_imatrix;
 };
 
+//
+// dequantization
+//
+
 static void llama_tensor_dequantize_impl(
     ggml_tensor * tensor, std::vector<no_init<float>> & output, std::vector<std::thread> & workers,
     const size_t nelements, const int nthread
@@ -175,12 +282,132 @@ static void llama_tensor_dequantize_impl(
     workers.clear();
 }
 
-static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype) {
+//
+// do we allow this tensor to be quantized?
+//
+
+static bool tensor_allows_quantization(const llama_model_quantize_params * params, llm_arch arch, const ggml_tensor * tensor) {
+    // trivial checks first -- no string ops needed
+    if (params->only_copy)       return false;
+
+    // quantize only 2D and 3D tensors (experts)
+    if (ggml_n_dims(tensor) < 2) return false;
+
+    const std::string name = ggml_get_name(tensor);
+
+    // This used to be a regex, but <regex> has an extreme cost to compile times.
+    bool quantize = name.rfind("weight") == name.size() - 6; // ends with 'weight'?
+
+    // do not quantize norm tensors
+    quantize &= name.find("_norm.weight") == std::string::npos;
+
+    quantize &= params->quantize_output_tensor || name != "output.weight";
+
+    // do not quantize expert gating tensors
+    // NOTE: can't use LLM_TN here because the layer number is not known
+    quantize &= name.find("ffn_gate_inp.weight") == std::string::npos;
+
+    // these are very small (e.g. 4x4)
+    quantize &= name.find("altup")  == std::string::npos;
+    quantize &= name.find("laurel") == std::string::npos;
+
+    // these are not too big so keep them as it is
+    quantize &= name.find("per_layer_model_proj") == std::string::npos;
+
+    // do not quantize positional embeddings and token types (BERT)
+    quantize &= name != LLM_TN(arch)(LLM_TENSOR_POS_EMBD,    "weight");
+    quantize &= name != LLM_TN(arch)(LLM_TENSOR_TOKEN_TYPES, "weight");
+
+    // do not quantize Mamba/Kimi's small conv1d weights
+    // NOTE: can't use LLM_TN here because the layer number is not known
+    quantize &= name.find("ssm_conv1d") == std::string::npos;
+    quantize &= name.find("shortconv.conv.weight") == std::string::npos;
+
+    // do not quantize RWKV's small yet 2D weights
+    quantize &= name.find("time_mix_first.weight") == std::string::npos;
+    quantize &= name.find("time_mix_w0.weight") == std::string::npos;
+    quantize &= name.find("time_mix_w1.weight") == std::string::npos;
+    quantize &= name.find("time_mix_w2.weight") == std::string::npos;
+    quantize &= name.find("time_mix_v0.weight") == std::string::npos;
+    quantize &= name.find("time_mix_v1.weight") == std::string::npos;
+    quantize &= name.find("time_mix_v2.weight") == std::string::npos;
+    quantize &= name.find("time_mix_a0.weight") == std::string::npos;
+    quantize &= name.find("time_mix_a1.weight") == std::string::npos;
+    quantize &= name.find("time_mix_a2.weight") == std::string::npos;
+    quantize &= name.find("time_mix_g1.weight") == std::string::npos;
+    quantize &= name.find("time_mix_g2.weight") == std::string::npos;
+    quantize &= name.find("time_mix_decay_w1.weight") == std::string::npos;
+    quantize &= name.find("time_mix_decay_w2.weight") == std::string::npos;
+    quantize &= name.find("time_mix_lerp_fused.weight") == std::string::npos;
+
+    // do not quantize relative position bias (T5)
+    quantize &= name.find("attn_rel_b.weight") == std::string::npos;
+
+    // do not quantize specific multimodal tensors
+    quantize &= name.find(".position_embd.") == std::string::npos;
+
+    return quantize;
+}
+
+//
+// tensor type selection
+//
+
+// incompatible tensor shapes are handled here - fallback to a compatible type
+static ggml_type tensor_type_fallback(quantize_state_impl & qs, const ggml_tensor * t, const ggml_type target_type) {
+    ggml_type return_type = target_type;
+
+    const int64_t ncols = t->ne[0];
+    const int64_t qk_k = ggml_blck_size(target_type);
+
+    if (ncols % qk_k != 0) { // this tensor's shape is incompatible with this quant
+        LLAMA_LOG_WARN("warning: %-36s - ncols %6" PRId64 " not divisible by %3" PRId64 " (required for type %7s) ",
+                        t->name, ncols, qk_k, ggml_type_name(target_type));
+        ++qs.n_fallback;
+
+        switch (target_type) {
+            // types on the left: block size 256
+            case GGML_TYPE_IQ1_S:
+            case GGML_TYPE_IQ1_M:
+            case GGML_TYPE_IQ2_XXS:
+            case GGML_TYPE_IQ2_XS:
+            case GGML_TYPE_IQ2_S:
+            case GGML_TYPE_IQ3_XXS:
+            case GGML_TYPE_IQ3_S:   // types on the right: block size 32
+            case GGML_TYPE_IQ4_XS:  return_type = GGML_TYPE_IQ4_NL; break;
+            case GGML_TYPE_Q2_K:
+            case GGML_TYPE_Q3_K:
+            case GGML_TYPE_TQ1_0:
+            case GGML_TYPE_TQ2_0:   return_type = GGML_TYPE_Q4_0;   break;
+            case GGML_TYPE_Q4_K:    return_type = GGML_TYPE_Q5_0;   break;
+            case GGML_TYPE_Q5_K:    return_type = GGML_TYPE_Q5_1;   break;
+            case GGML_TYPE_Q6_K:    return_type = GGML_TYPE_Q8_0;   break;
+            default:
+                throw std::runtime_error(format("no tensor type fallback is defined for type %s",
+                                                ggml_type_name(target_type)));
+        }
+        if (ncols % ggml_blck_size(return_type) != 0) {
+            //
+            // the fallback return type is still not compatible for this tensor!
+            //
+            // most likely, this tensor's first dimension is not divisible by 32.
+            // this is very rare. we can either abort the quantization, or
+            // fallback to F16 / F32.
+            //
+            LLAMA_LOG_WARN("(WARNING: must use F16 due to unusual shape) ");
+            return_type = GGML_TYPE_F16;
+        }
+        LLAMA_LOG_WARN("-> falling back to %7s\n", ggml_type_name(return_type));
+    }
+    return return_type;
+}
+
+// internal standard logic for selecting the target tensor type based on tensor category, ftype, and model arch
+static ggml_type llama_tensor_get_type_impl(quantize_state_impl & qs, ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype, tensor_category category) {
     const std::string name = ggml_get_name(tensor);
 
     // TODO: avoid hardcoded tensor names - use the TN_* constants
     const llm_arch arch = qs.model.arch;
-    const auto       tn = LLM_TN(arch);
 
     auto use_more_bits = [](int i_layer, int n_layers) -> bool {
         return i_layer < n_layers/8 || i_layer >= 7*n_layers/8 || (i_layer - n_layers/8)%3 == 2;
@@ -204,7 +431,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
 
     // for arches that share the same tensor between the token embeddings and the output, we quantize the token embeddings
     // with the quantization of the output tensor
-    if (name == tn(LLM_TENSOR_OUTPUT, "weight") || (!qs.has_output && name == tn(LLM_TENSOR_TOKEN_EMBD, "weight"))) {
+    if (category == tensor_category::OUTPUT || (qs.has_tied_embeddings && category == tensor_category::TOKEN_EMBD)) {
         if (qs.params->output_tensor_type < GGML_TYPE_COUNT) {
             new_type = qs.params->output_tensor_type;
         } else {
@@ -234,7 +461,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
         } else {
             new_type = GGML_TYPE_Q8_0;
         }
-    } else if (name == "token_embd.weight" || name == "per_layer_token_embd.weight") {
+    } else if (category == tensor_category::TOKEN_EMBD) {
         if (qs.params->token_embedding_type < GGML_TYPE_COUNT) {
             new_type = qs.params->token_embedding_type;
         } else {
@@ -254,21 +481,21 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
         }
     } else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S ||
                ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M    || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) {
-        if (name.find("attn_v.weight") != std::string::npos) {
+        if (category_is_attn_v(category)) {
             if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q4_K;
             else new_type = ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M ? GGML_TYPE_IQ3_S : GGML_TYPE_Q2_K;
             ++qs.i_attention_wv;
         }
-        else if (qs.model.hparams.n_expert == 8 && name.find("attn_k.weight") != std::string::npos) {
+        else if (qs.model.hparams.n_expert == 8 && category == tensor_category::ATTENTION_K) {
             new_type = GGML_TYPE_Q4_K;
         }
-        else if (name.find("ffn_down") != std::string::npos) {
+        else if (category == tensor_category::FFN_DOWN) {
             if (qs.i_ffn_down < qs.n_ffn_down/8) {
                 new_type = ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M ? GGML_TYPE_IQ3_S : GGML_TYPE_Q2_K;
             }
             ++qs.i_ffn_down;
         }
-        else if (name.find("attn_output.weight") != std::string::npos) {
+        else if (category == tensor_category::ATTENTION_OUTPUT) {
             if (qs.model.hparams.n_expert == 8) {
                 new_type = GGML_TYPE_Q5_K;
             } else {
@@ -276,7 +503,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
                 else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M) new_type = GGML_TYPE_IQ3_S;
             }
         }
-    } else if (name.find("attn_v.weight") != std::string::npos) {
+    } else if (category_is_attn_v(category)) {
         if      (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) {
             new_type = qs.model.hparams.n_gqa() >= 4 ? GGML_TYPE_Q4_K : GGML_TYPE_Q3_K;
         }
@@ -314,7 +541,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
             new_type = GGML_TYPE_Q8_0;
         }
         ++qs.i_attention_wv;
-    } else if (name.find("attn_k.weight") != std::string::npos) {
+    } else if (category == tensor_category::ATTENTION_K) {
         if (qs.model.hparams.n_expert == 8) {
             // for the 8-expert model, bumping this to Q8_0 trades just ~128MB
             // TODO: explore better strategies
@@ -326,14 +553,14 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
         else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) {
             new_type = GGML_TYPE_IQ2_S;
         }
-    } else if (name.find("attn_q.weight") != std::string::npos) {
+    } else if (category == tensor_category::ATTENTION_Q) {
         if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS) {
             new_type = GGML_TYPE_IQ3_XXS;
         }
         else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) {
             new_type = GGML_TYPE_IQ2_S;
         }
-    } else if (name.find("ffn_down") != std::string::npos) {
+    } else if (category == tensor_category::FFN_DOWN) {
         auto info = layer_info(qs.i_ffn_down, qs.n_ffn_down, name.c_str());
         int i_layer = info.first, n_layer = info.second;
         if      (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K;
@@ -378,7 +605,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
             new_type = ftype == LLAMA_FTYPE_MOSTLY_Q4_0 ? GGML_TYPE_Q4_1 : GGML_TYPE_Q5_1;
         }
         ++qs.i_ffn_down;
-    } else if (name.find("attn_output.weight") != std::string::npos) {
+    } else if (category == tensor_category::ATTENTION_OUTPUT) {
         if (arch != LLM_ARCH_FALCON) {
             if (qs.model.hparams.n_expert == 8) {
                 if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K   || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS ||
@@ -398,14 +625,14 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
             if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) new_type = GGML_TYPE_Q4_K;
         }
     }
-    else if (name.find("attn_qkv.weight") != std::string::npos) {
+    else if (category == tensor_category::ATTENTION_QKV) {
         if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L || ftype == LLAMA_FTYPE_MOSTLY_IQ3_M) {
             new_type = GGML_TYPE_Q4_K;
         }
         else if (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M) new_type = GGML_TYPE_Q5_K;
         else if (ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) new_type = GGML_TYPE_Q6_K;
     }
-    else if (name.find("ffn_gate") != std::string::npos) {
+    else if (category == tensor_category::FFN_GATE) {
         auto info = layer_info(qs.i_ffn_gate, qs.n_ffn_gate, name.c_str());
         int i_layer = info.first, n_layer = info.second;
         if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS && (i_layer >= n_layer/8 && i_layer < 7*n_layer/8)) {
@@ -413,7 +640,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
         }
         ++qs.i_ffn_gate;
     }
-    else if (name.find("ffn_up") != std::string::npos) {
+    else if (category == tensor_category::FFN_UP) {
         auto info = layer_info(qs.i_ffn_up, qs.n_ffn_up, name.c_str());
         int i_layer = info.first, n_layer = info.second;
         if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS && (i_layer >= n_layer/8 && i_layer < 7*n_layer/8)) {
@@ -425,6 +652,55 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
     return new_type;
 }
 
+// outer wrapper: determine the ggml_type that this tensor should be quantized to
+static ggml_type llama_tensor_get_type(quantize_state_impl & qs, const llama_model_quantize_params * params, const ggml_tensor * tensor, ggml_type default_type, const tensor_metadata & tm) {
+    if (!tensor_allows_quantization(params, qs.model.arch, tensor)) {
+        return tensor->type;
+    }
+    if (params->token_embedding_type < GGML_TYPE_COUNT && tm.category == tensor_category::TOKEN_EMBD) {
+        return params->token_embedding_type;
+    }
+    if (params->output_tensor_type < GGML_TYPE_COUNT && tm.category == tensor_category::OUTPUT) {
+        return params->output_tensor_type;
+    }
+
+    ggml_type new_type = default_type;
+
+    // get more optimal quantization type based on the tensor shape, layer, etc.
+    if (!params->pure && ggml_is_quantized(default_type)) {
+        // if the user provided tensor types - use those
+        bool manual = false;
+        if (!qs.tensor_type_patterns.empty()) {
+            const std::string tensor_name(tensor->name);
+            for (const auto & [pattern, qtype] : qs.tensor_type_patterns) {
+                if (std::regex_search(tensor_name, pattern)) {
+                    if (qtype != new_type) {
+                        LLAMA_LOG_WARN("%s: %-36s - applying manual override: %s -> %s\n",
+                                       __func__, tensor_name.c_str(), ggml_type_name(new_type), ggml_type_name(qtype));
+                        new_type = qtype;
+                        manual = true;
+                        break;
+                    }
+                }
+            }
+        }
+
+        // if not manual - use the standard logic for choosing the quantization type based on the selected mixture
+        if (!manual) {
+            new_type = llama_tensor_get_type_impl(qs, new_type, tensor, params->ftype, tm.category);
+        }
+
+        // incompatible tensor shapes are handled here - fallback to a compatible type
+        new_type = tensor_type_fallback(qs, tensor, new_type);
+    }
+
+    return new_type;
+}
+
+//
+// quantization implementation
+//
+
 static size_t llama_tensor_quantize_impl(enum ggml_type new_type, const float * f32_data, void * new_data, const int64_t chunk_size, int64_t nrows, int64_t n_per_row, const float * imatrix, std::vector<std::thread> & workers, const int nthread) {
     if (nthread < 2) {
         // single-thread
@@ -479,50 +755,85 @@ static size_t llama_tensor_quantize_impl(enum ggml_type new_type, const float *
     return new_size;
 }
 
-static void llama_model_quantize_impl(const std::string & fname_inp, const std::string & fname_out, const llama_model_quantize_params * params) {
-    ggml_type default_type;
-    llama_ftype ftype = params->ftype;
+//
+// imatrix requirement check
+//
+
+static bool tensor_requires_imatrix(const char * tensor_name, const ggml_type dst_type, const llama_ftype ftype) {
+    if (tensor_name_match_token_embd(tensor_name) || tensor_name_match_output_weight(tensor_name)) {
+        return false;
+    }
+    switch (dst_type) {
+        case GGML_TYPE_IQ3_XXS:
+        case GGML_TYPE_IQ2_XXS:
+        case GGML_TYPE_IQ2_XS:
+        case GGML_TYPE_IQ2_S:
+        case GGML_TYPE_IQ1_M:
+        case GGML_TYPE_IQ1_S:
+            return true;
+        case GGML_TYPE_Q2_K:
+            // as a general rule, the k-type quantizations don't require imatrix data.
+            // the only exception is Q2_K tensors that are part of a Q2_K_S file.
+            return ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S;
+        default:
+            return false;
+    }
+}
+
+//
+// given a file type, get the default tensor type
+//
 
-    switch (params->ftype) {
-        case LLAMA_FTYPE_MOSTLY_Q4_0: default_type = GGML_TYPE_Q4_0; break;
-        case LLAMA_FTYPE_MOSTLY_Q4_1: default_type = GGML_TYPE_Q4_1; break;
-        case LLAMA_FTYPE_MOSTLY_Q5_0: default_type = GGML_TYPE_Q5_0; break;
-        case LLAMA_FTYPE_MOSTLY_Q5_1: default_type = GGML_TYPE_Q5_1; break;
-        case LLAMA_FTYPE_MOSTLY_Q8_0: default_type = GGML_TYPE_Q8_0; break;
-        case LLAMA_FTYPE_MOSTLY_F16:  default_type = GGML_TYPE_F16;  break;
-        case LLAMA_FTYPE_MOSTLY_BF16: default_type = GGML_TYPE_BF16; break;
-        case LLAMA_FTYPE_ALL_F32:     default_type = GGML_TYPE_F32;  break;
+static ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
+    switch (ftype) {
+        case LLAMA_FTYPE_MOSTLY_Q4_0: return GGML_TYPE_Q4_0;
+        case LLAMA_FTYPE_MOSTLY_Q4_1: return GGML_TYPE_Q4_1;
+        case LLAMA_FTYPE_MOSTLY_Q5_0: return GGML_TYPE_Q5_0;
+        case LLAMA_FTYPE_MOSTLY_Q5_1: return GGML_TYPE_Q5_1;
+        case LLAMA_FTYPE_MOSTLY_Q8_0: return GGML_TYPE_Q8_0;
+        case LLAMA_FTYPE_MOSTLY_F16:  return GGML_TYPE_F16;
+        case LLAMA_FTYPE_MOSTLY_BF16: return GGML_TYPE_BF16;
+        case LLAMA_FTYPE_ALL_F32:     return GGML_TYPE_F32;
 
-        case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: default_type = GGML_TYPE_MXFP4; break;
+        case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return GGML_TYPE_MXFP4;
 
         // K-quants
         case LLAMA_FTYPE_MOSTLY_Q2_K_S:
-        case LLAMA_FTYPE_MOSTLY_Q2_K:    default_type = GGML_TYPE_Q2_K;    break;
-        case LLAMA_FTYPE_MOSTLY_IQ3_XS:  default_type = GGML_TYPE_IQ3_S;   break;
+        case LLAMA_FTYPE_MOSTLY_Q2_K:    return GGML_TYPE_Q2_K;
+        case LLAMA_FTYPE_MOSTLY_IQ3_XS:  return GGML_TYPE_IQ3_S;
         case LLAMA_FTYPE_MOSTLY_Q3_K_S:
         case LLAMA_FTYPE_MOSTLY_Q3_K_M:
-        case LLAMA_FTYPE_MOSTLY_Q3_K_L:  default_type = GGML_TYPE_Q3_K;    break;
+        case LLAMA_FTYPE_MOSTLY_Q3_K_L:  return GGML_TYPE_Q3_K;
         case LLAMA_FTYPE_MOSTLY_Q4_K_S:
-        case LLAMA_FTYPE_MOSTLY_Q4_K_M:  default_type = GGML_TYPE_Q4_K;    break;
+        case LLAMA_FTYPE_MOSTLY_Q4_K_M:  return GGML_TYPE_Q4_K;
         case LLAMA_FTYPE_MOSTLY_Q5_K_S:
-        case LLAMA_FTYPE_MOSTLY_Q5_K_M:  default_type = GGML_TYPE_Q5_K;    break;
-        case LLAMA_FTYPE_MOSTLY_Q6_K:    default_type = GGML_TYPE_Q6_K;    break;
-        case LLAMA_FTYPE_MOSTLY_TQ1_0:   default_type = GGML_TYPE_TQ1_0;   break;
-        case LLAMA_FTYPE_MOSTLY_TQ2_0:   default_type = GGML_TYPE_TQ2_0;   break;
-        case LLAMA_FTYPE_MOSTLY_IQ2_XXS: default_type = GGML_TYPE_IQ2_XXS; break;
-        case LLAMA_FTYPE_MOSTLY_IQ2_XS:  default_type = GGML_TYPE_IQ2_XS;  break;
-        case LLAMA_FTYPE_MOSTLY_IQ2_S:   default_type = GGML_TYPE_IQ2_XS;  break;
-        case LLAMA_FTYPE_MOSTLY_IQ2_M:   default_type = GGML_TYPE_IQ2_S;   break;
-        case LLAMA_FTYPE_MOSTLY_IQ3_XXS: default_type = GGML_TYPE_IQ3_XXS; break;
-        case LLAMA_FTYPE_MOSTLY_IQ1_S:   default_type = GGML_TYPE_IQ1_S;   break;
-        case LLAMA_FTYPE_MOSTLY_IQ1_M:   default_type = GGML_TYPE_IQ1_M;   break;
-        case LLAMA_FTYPE_MOSTLY_IQ4_NL:  default_type = GGML_TYPE_IQ4_NL;  break;
-        case LLAMA_FTYPE_MOSTLY_IQ4_XS:  default_type = GGML_TYPE_IQ4_XS;  break;
-        case LLAMA_FTYPE_MOSTLY_IQ3_S:   default_type = GGML_TYPE_IQ3_S;   break;
-        case LLAMA_FTYPE_MOSTLY_IQ3_M:   default_type = GGML_TYPE_IQ3_S;   break;
+        case LLAMA_FTYPE_MOSTLY_Q5_K_M:  return GGML_TYPE_Q5_K;
+        case LLAMA_FTYPE_MOSTLY_Q6_K:    return GGML_TYPE_Q6_K;
+        case LLAMA_FTYPE_MOSTLY_TQ1_0:   return GGML_TYPE_TQ1_0;
+        case LLAMA_FTYPE_MOSTLY_TQ2_0:   return GGML_TYPE_TQ2_0;
+        case LLAMA_FTYPE_MOSTLY_IQ2_XXS: return GGML_TYPE_IQ2_XXS;
+        case LLAMA_FTYPE_MOSTLY_IQ2_XS:  return GGML_TYPE_IQ2_XS;
+        case LLAMA_FTYPE_MOSTLY_IQ2_S:   return GGML_TYPE_IQ2_XS;
+        case LLAMA_FTYPE_MOSTLY_IQ2_M:   return GGML_TYPE_IQ2_S;
+        case LLAMA_FTYPE_MOSTLY_IQ3_XXS: return GGML_TYPE_IQ3_XXS;
+        case LLAMA_FTYPE_MOSTLY_IQ1_S:   return GGML_TYPE_IQ1_S;
+        case LLAMA_FTYPE_MOSTLY_IQ1_M:   return GGML_TYPE_IQ1_M;
+        case LLAMA_FTYPE_MOSTLY_IQ4_NL:  return GGML_TYPE_IQ4_NL;
+        case LLAMA_FTYPE_MOSTLY_IQ4_XS:  return GGML_TYPE_IQ4_XS;
+        case LLAMA_FTYPE_MOSTLY_IQ3_S:
+        case LLAMA_FTYPE_MOSTLY_IQ3_M:   return GGML_TYPE_IQ3_S;
 
         default: throw std::runtime_error(format("invalid output file type %d\n", ftype));
     }
+}
+
+//
+// main quantization driver
+//
+
+static void llama_model_quantize_impl(const std::string & fname_inp, const std::string & fname_out, const llama_model_quantize_params * params) {
+    ggml_type default_type;
+    llama_ftype ftype = params->ftype;
 
     int nthread = params->nthread;
 
@@ -530,6 +841,8 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         nthread = std::thread::hardware_concurrency();
     }
 
+    default_type = llama_ftype_get_default_type(ftype);
+
     // mmap consistently increases speed on Linux, and also increases speed on Windows with
     // hot cache. It may cause a slowdown on macOS, possibly related to free memory.
 #if defined(__linux__) || defined(_WIN32)
@@ -545,7 +858,8 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     }
 
     std::vector<std::string> splits = {};
-    llama_model_loader ml(fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr);
+    llama_model_loader ml(/*metadata*/ nullptr, /*set_tensor_data*/ nullptr, /*set_tensor_data_ud*/ nullptr,
+        fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr);
     ml.init_mappings(false); // no prefetching
 
     llama_model model(llama_model_default_params());
@@ -563,7 +877,8 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     if (params->imatrix) {
         imatrix_data = static_cast<const std::unordered_map<std::string, std::vector<float>>*>(params->imatrix);
         if (imatrix_data) {
-            LLAMA_LOG_INFO("================================ Have weights data with %d entries\n",int(imatrix_data->size()));
+            LLAMA_LOG_INFO("\n%s: have importance matrix data with %d entries\n",
+                           __func__, (int)imatrix_data->size());
             qs.has_imatrix = true;
             // check imatrix for nans or infs
             for (const auto & kv : *imatrix_data) {
@@ -585,7 +900,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     }
 
     // copy the KV pairs from the input file
-    gguf_set_kv     (ctx_out.get(), ml.meta.get());
+    gguf_set_kv     (ctx_out.get(), ml.metadata);
     gguf_set_val_u32(ctx_out.get(), "general.quantization_version", GGML_QNT_VERSION); // TODO: use LLM_KV
     gguf_set_val_u32(ctx_out.get(), "general.file_type", ftype); // TODO: use LLM_KV
 
@@ -646,35 +961,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         });
     }
 
-    for (const auto * it : tensors) {
-        const struct ggml_tensor * tensor = it->tensor;
-
-        const std::string name = ggml_get_name(tensor);
-
-        // TODO: avoid hardcoded tensor names - use the TN_* constants
-        if (name.find("attn_v.weight")   != std::string::npos ||
-            name.find("attn_qkv.weight") != std::string::npos ||
-            name.find("attn_kv_b.weight")!= std::string::npos) {
-            ++qs.n_attention_wv;
-        } else if (name == LLM_TN(model.arch)(LLM_TENSOR_OUTPUT, "weight")) {
-            qs.has_output = true;
-        }
-    }
-
-    qs.n_ffn_down = qs.n_ffn_gate = qs.n_ffn_up = (int)model.hparams.n_layer;
-
-    size_t total_size_org = 0;
-    size_t total_size_new = 0;
-
-    std::vector<std::thread> workers;
-    workers.reserve(nthread);
-
     int idx = 0;
-
-    std::vector<no_init<uint8_t>> read_data;
-    std::vector<no_init<uint8_t>> work;
-    std::vector<no_init<float>> f32_conv_buf;
-
     uint16_t n_split = 1;
 
     // Assume split index is continuous
@@ -686,14 +973,68 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
     std::vector<gguf_context_ptr> ctx_outs(n_split);
     ctx_outs[0] = std::move(ctx_out);
 
-    // populate the original tensors so we get an initial meta data
-    for (const auto * it : tensors) {
+    // compute tensor metadata once and cache it
+    std::vector<tensor_metadata> metadata(tensors.size());
+
+    // initialize quantization state before preliminary loop (counters for use_more_bits)
+    {
+        for (size_t i = 0; i < tensors.size(); ++i) {
+            const auto cat = tensor_get_category(tensors[i]->tensor->name);
+            if (category_is_attn_v(cat)) {
+                ++qs.n_attention_wv;
+            }
+            if (cat == tensor_category::OUTPUT) {
+                qs.has_tied_embeddings = false;
+            }
+            metadata[i].category = cat; // save and re-use the category while we're at it
+        }
+        // these also need to be set to n_layer by default
+        qs.n_ffn_down = qs.n_ffn_gate = qs.n_ffn_up = (int)qs.model.hparams.n_layer;
+    }
+
+    // flag for --dry-run
+    bool will_require_imatrix = false;
+
+    //
+    // preliminary iteration over all weights
+    //
+
+    for (size_t i = 0; i < tensors.size(); ++i) {
+        const auto * it = tensors[i];
+        const struct ggml_tensor * tensor = it->tensor;
+        const std::string name = ggml_get_name(tensor);
+
         uint16_t i_split = params->keep_split ? it->idx : 0;
-        ggml_tensor * tensor = it->tensor;
         if (!ctx_outs[i_split]) {
             ctx_outs[i_split].reset(gguf_init_empty());
         }
         gguf_add_tensor(ctx_outs[i_split].get(), tensor);
+
+        metadata[i].allows_quantization = tensor_allows_quantization(params, model.arch, tensor);
+
+        if (metadata[i].allows_quantization) {
+            metadata[i].target_type = llama_tensor_get_type(qs, params, tensor, default_type, metadata[i]);
+        } else {
+            metadata[i].target_type = tensor->type;
+        }
+
+        metadata[i].requires_imatrix = tensor_requires_imatrix(tensor->name, metadata[i].target_type, ftype);
+
+        if (params->imatrix) {
+            metadata[i].remapped_imatrix_name = remap_imatrix(tensor->name, mapped);
+        } else if (metadata[i].allows_quantization && metadata[i].requires_imatrix) {
+            if (params->dry_run) {
+                will_require_imatrix = true;
+            } else {
+                LLAMA_LOG_ERROR("\n============================================================================\n"
+                                " ERROR: this quantization requires an importance matrix!\n"
+                                "        - offending tensor: %s\n"
+                                "        - target type: %s\n"
+                                "============================================================================\n\n",
+                                name.c_str(), ggml_type_name(metadata[i].target_type));
+                throw std::runtime_error("this quantization requires an imatrix!");
+            }
+        }
     }
 
     // Set split info if needed
@@ -705,6 +1046,16 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         }
     }
 
+    size_t total_size_org = 0;
+    size_t total_size_new = 0;
+
+    std::vector<std::thread> workers;
+    workers.reserve(nthread);
+
+    std::vector<no_init<uint8_t>> read_data;
+    std::vector<no_init<uint8_t>> work;
+    std::vector<no_init<float>> f32_conv_buf;
+
     int cur_split = -1;
     std::ofstream fout;
     auto close_ofstream = [&]() {
@@ -734,299 +1085,182 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         ::zeros(fout, meta_size);
     };
 
-    const auto tn = LLM_TN(model.arch);
-    new_ofstream(0);
-    for (const auto * it : tensors) {
-        const auto & weight = *it;
+    // no output file for --dry-run
+    if (!params->dry_run) {
+        new_ofstream(0);
+    }
+
+    //
+    // main loop: iterate over all weights
+    //
+
+    for (size_t i = 0; i < tensors.size(); ++i) {
+        const auto & weight = *tensors[i];
+        const auto & tm = metadata[i];
         ggml_tensor * tensor = weight.tensor;
-        if (weight.idx != cur_split && params->keep_split) {
+
+        if (!params->dry_run && (weight.idx != cur_split && params->keep_split)) {
             close_ofstream();
             new_ofstream(weight.idx);
         }
 
         const std::string name = ggml_get_name(tensor);
+        const size_t tensor_size = ggml_nbytes(tensor);
 
-        if (!ml.use_mmap) {
-            if (read_data.size() < ggml_nbytes(tensor)) {
-                read_data.resize(ggml_nbytes(tensor));
+        if (!params->dry_run) {
+            if (!ml.use_mmap) {
+                if (read_data.size() < tensor_size) {
+                    read_data.resize(tensor_size);
+                }
+                tensor->data = read_data.data();
             }
-            tensor->data = read_data.data();
+            ml.load_data_for(tensor);
         }
-        ml.load_data_for(tensor);
 
-        LLAMA_LOG_INFO("[%4d/%4d] %36s - [%s], type = %6s, ",
+        LLAMA_LOG_INFO("[%4d/%4d] %-36s - [%s], type = %6s, ",
                ++idx, ml.n_tensors,
                ggml_get_name(tensor),
                llama_format_tensor_shape(tensor).c_str(),
                ggml_type_name(tensor->type));
 
-        // This used to be a regex, but <regex> has an extreme cost to compile times.
-        bool quantize = name.rfind("weight") == name.size() - 6; // ends with 'weight'?
-
-        // quantize only 2D and 3D tensors (experts)
-        quantize &= (ggml_n_dims(tensor) >= 2);
-
-        // do not quantize norm tensors
-        quantize &= name.find("_norm.weight") == std::string::npos;
-
-        quantize &= params->quantize_output_tensor || name != "output.weight";
-        quantize &= !params->only_copy;
-
-        // do not quantize expert gating tensors
-        // NOTE: can't use LLM_TN here because the layer number is not known
-        quantize &= name.find("ffn_gate_inp.weight") == std::string::npos;
-
-        // these are very small (e.g. 4x4)
-        quantize &= name.find("altup")  == std::string::npos;
-        quantize &= name.find("laurel") == std::string::npos;
-
-        // these are not too big so keep them as it is
-        quantize &= name.find("per_layer_model_proj") == std::string::npos;
-
-        // do not quantize positional embeddings and token types (BERT)
-        quantize &= name != LLM_TN(model.arch)(LLM_TENSOR_POS_EMBD,    "weight");
-        quantize &= name != LLM_TN(model.arch)(LLM_TENSOR_TOKEN_TYPES, "weight");
-
-        // do not quantize Mamba /Kimi's small conv1d weights
-        // NOTE: can't use LLM_TN here because the layer number is not known
-        quantize &= name.find("ssm_conv1d") == std::string::npos;
-        quantize &= name.find("shortconv.conv.weight") == std::string::npos;
-
-        // do not quantize RWKV's small yet 2D weights
-        quantize &= name.find("time_mix_first.weight") == std::string::npos;
-        quantize &= name.find("time_mix_w0.weight") == std::string::npos;
-        quantize &= name.find("time_mix_w1.weight") == std::string::npos;
-        quantize &= name.find("time_mix_w2.weight") == std::string::npos;
-        quantize &= name.find("time_mix_v0.weight") == std::string::npos;
-        quantize &= name.find("time_mix_v1.weight") == std::string::npos;
-        quantize &= name.find("time_mix_v2.weight") == std::string::npos;
-        quantize &= name.find("time_mix_a0.weight") == std::string::npos;
-        quantize &= name.find("time_mix_a1.weight") == std::string::npos;
-        quantize &= name.find("time_mix_a2.weight") == std::string::npos;
-        quantize &= name.find("time_mix_g1.weight") == std::string::npos;
-        quantize &= name.find("time_mix_g2.weight") == std::string::npos;
-        quantize &= name.find("time_mix_decay_w1.weight") == std::string::npos;
-        quantize &= name.find("time_mix_decay_w2.weight") == std::string::npos;
-        quantize &= name.find("time_mix_lerp_fused.weight") == std::string::npos;
-
-        // do not quantize relative position bias (T5)
-        quantize &= name.find("attn_rel_b.weight") == std::string::npos;
-
-        // do not quantize specific multimodal tensors
-        quantize &= name.find(".position_embd.") == std::string::npos;
-
-        ggml_type new_type;
+        const ggml_type cur_type = tensor->type;
+        const ggml_type new_type = tm.target_type;
+
+        // If we've decided to quantize to the same type the tensor is already
+        // in then there's nothing to do.
+        bool quantize = cur_type != new_type;
+
         void * new_data;
         size_t new_size;
 
-        if (quantize) {
-            new_type = default_type;
-
-            // get more optimal quantization type based on the tensor shape, layer, etc.
-            if (!params->pure && ggml_is_quantized(default_type)) {
-                // if the user provided tensor types - use those
-                bool manual = false;
-                if (params->tensor_types) {
-                    const std::vector<tensor_quantization> & tensor_types = *static_cast<const std::vector<tensor_quantization> *>(params->tensor_types);
-                    const std::string tensor_name(tensor->name);
-                    for (const auto & [tname, qtype] : tensor_types) {
-                        if (std::regex pattern(tname); std::regex_search(tensor_name, pattern)) {
-                            if  (qtype != new_type) {
-                                LLAMA_LOG_WARN("(manual override: %s -> %s) ", ggml_type_name(new_type), ggml_type_name(qtype));
-                                new_type = qtype; // if two or more types are specified for the same tensor, the last match wins
-                                manual = true;
-                                break;
+        if (params->dry_run) {
+            // the --dry-run option calculates the final quantization size without quantizing
+            if (quantize) {
+                new_size = ggml_nrows(tensor) * ggml_row_size(new_type, tensor->ne[0]);
+                LLAMA_LOG_INFO("size = %8.2f MiB -> %8.2f MiB (%s)\n",
+                               tensor_size/1024.0/1024.0,
+                               new_size/1024.0/1024.0,
+                               ggml_type_name(new_type));
+                if (!will_require_imatrix && tm.requires_imatrix) {
+                    will_require_imatrix = true;
+                }
+            } else {
+                new_size = tensor_size;
+                LLAMA_LOG_INFO("size = %8.3f MiB\n", new_size/1024.0/1024.0);
+            }
+            total_size_org += tensor_size;
+            total_size_new += new_size;
+            continue;
+        } else {
+            // no --dry-run, perform quantization
+            if (!quantize) {
+                new_data = tensor->data;
+                new_size = tensor_size;
+                LLAMA_LOG_INFO("size = %8.3f MiB\n", tensor_size/1024.0/1024.0);
+            } else {
+                const int64_t nelements = ggml_nelements(tensor);
+
+                const float * imatrix = nullptr;
+                if (imatrix_data) {
+                    auto it = imatrix_data->find(tm.remapped_imatrix_name);
+                    if (it == imatrix_data->end()) {
+                        LLAMA_LOG_INFO("\n====== %s: did not find weights for %s\n", __func__, tensor->name);
+                    } else {
+                        if (it->second.size() == (size_t)tensor->ne[0]*tensor->ne[2]) {
+                            imatrix = it->second.data();
+                        } else {
+                            LLAMA_LOG_INFO("\n====== %s: imatrix size %d is different from tensor size %d for %s\n", __func__,
+                                    int(it->second.size()), int(tensor->ne[0]*tensor->ne[2]), tensor->name);
+
+                            // this can happen when quantizing an old mixtral model with split tensors with a new incompatible imatrix
+                            // this is a significant error and it may be good idea to abort the process if this happens,
+                            // since many people will miss the error and not realize that most of the model is being quantized without an imatrix
+                            // tok_embd should be ignored in this case, since it always causes this warning
+                            if (!tensor_name_match_token_embd(tensor->name)) {
+                                throw std::runtime_error(format("imatrix size %d is different from tensor size %d for %s",
+                                        int(it->second.size()), int(tensor->ne[0]*tensor->ne[2]), tensor->name));
                             }
                         }
                     }
                 }
-
-                // if not manual - use the standard logic for choosing the quantization type based on the selected mixture
-                if (!manual) {
-                    new_type = llama_tensor_get_type(qs, new_type, tensor, ftype);
+                if (!imatrix && tm.requires_imatrix) {
+                    LLAMA_LOG_ERROR("\n\n============================================================\n");
+                    LLAMA_LOG_ERROR("Missing importance matrix for tensor %s in a very low-bit quantization\n", tensor->name);
+                    LLAMA_LOG_ERROR("The result will be garbage, so bailing out\n");
+                    LLAMA_LOG_ERROR("============================================================\n\n");
+                    throw std::runtime_error(format("Missing importance matrix for tensor %s in a very low-bit quantization", tensor->name));
                 }
 
-                // incompatible tensor shapes are handled here - fallback to a compatible type
-                {
-                    bool convert_incompatible_tensor = false;
+                float * f32_data;
 
-                    const int64_t nx = tensor->ne[0];
-                    const int64_t ny = tensor->ne[1];
-                    const int64_t qk_k = ggml_blck_size(new_type);
-
-                    if (nx % qk_k != 0) {
-                        LLAMA_LOG_WARN("\n\n%s : tensor cols %" PRId64 " x %" PRId64 " are not divisible by %" PRId64 ", required for %s", __func__, nx, ny, qk_k, ggml_type_name(new_type));
-                        convert_incompatible_tensor = true;
-                    } else {
-                        ++qs.n_k_quantized;
-                    }
-
-                    if (convert_incompatible_tensor) {
-                        switch (new_type) {
-                            case GGML_TYPE_TQ1_0:
-                            case GGML_TYPE_TQ2_0:  new_type = GGML_TYPE_Q4_0; break;  // TODO: use a symmetric type instead
-                            case GGML_TYPE_IQ2_XXS:
-                            case GGML_TYPE_IQ2_XS:
-                            case GGML_TYPE_IQ2_S:
-                            case GGML_TYPE_IQ3_XXS:
-                            case GGML_TYPE_IQ3_S:
-                            case GGML_TYPE_IQ1_S:
-                            case GGML_TYPE_IQ1_M:
-                            case GGML_TYPE_Q2_K:
-                            case GGML_TYPE_Q3_K:
-                            case GGML_TYPE_IQ4_XS: new_type = GGML_TYPE_IQ4_NL; break;
-                            case GGML_TYPE_Q4_K:   new_type = GGML_TYPE_Q5_0;   break;
-                            case GGML_TYPE_Q5_K:   new_type = GGML_TYPE_Q5_1;   break;
-                            case GGML_TYPE_Q6_K:   new_type = GGML_TYPE_Q8_0;   break;
-                            default: throw std::runtime_error("\nUnsupported tensor size encountered\n");
-                        }
-                        if (tensor->ne[0] % ggml_blck_size(new_type) != 0) {
-                            new_type = GGML_TYPE_F16;
-                        }
-                        LLAMA_LOG_WARN(" - using fallback quantization %s\n", ggml_type_name(new_type));
-                        ++qs.n_fallback;
-                    }
+                if (tensor->type == GGML_TYPE_F32) {
+                    f32_data = (float *) tensor->data;
+                } else if (ggml_is_quantized(tensor->type) && !params->allow_requantize) {
+                    throw std::runtime_error(format("requantizing from type %s is disabled", ggml_type_name(tensor->type)));
+                } else {
+                    llama_tensor_dequantize_impl(tensor, f32_conv_buf, workers, nelements, nthread);
+                    f32_data = (float *) f32_conv_buf.data();
                 }
-            }
-            if (params->token_embedding_type < GGML_TYPE_COUNT && strcmp(tensor->name, "token_embd.weight") == 0) {
-                new_type = params->token_embedding_type;
-            }
-            if (params->output_tensor_type < GGML_TYPE_COUNT && strcmp(tensor->name, "output.weight") == 0) {
-                new_type = params->output_tensor_type;
-            }
-
-            // If we've decided to quantize to the same type the tensor is already
-            // in then there's nothing to do.
-            quantize = tensor->type != new_type;
-        }
 
-        if (!quantize) {
-            new_type = tensor->type;
-            new_data = tensor->data;
-            new_size = ggml_nbytes(tensor);
-            LLAMA_LOG_INFO("size = %8.3f MiB\n", ggml_nbytes(tensor)/1024.0/1024.0);
-        } else {
-            const int64_t nelements = ggml_nelements(tensor);
+                LLAMA_LOG_INFO("converting to %s .. ", ggml_type_name(new_type));
+                fflush(stdout);
 
-            const float * imatrix = nullptr;
-            if (imatrix_data) {
-                auto it = imatrix_data->find(remap_imatrix(tensor->name, mapped));
-                if (it == imatrix_data->end()) {
-                    LLAMA_LOG_INFO("\n====== %s: did not find weights for %s\n", __func__, tensor->name);
-                } else {
-                    if (it->second.size() == (size_t)tensor->ne[0]*tensor->ne[2]) {
-                        imatrix = it->second.data();
-                    } else {
-                        LLAMA_LOG_INFO("\n====== %s: imatrix size %d is different from tensor size %d for %s\n", __func__,
-                                int(it->second.size()), int(tensor->ne[0]*tensor->ne[2]), tensor->name);
-
-                        // this can happen when quantizing an old mixtral model with split tensors with a new incompatible imatrix
-                        // this is a significant error and it may be good idea to abort the process if this happens,
-                        // since many people will miss the error and not realize that most of the model is being quantized without an imatrix
-                        // tok_embd should be ignored in this case, since it always causes this warning
-                        if (name != tn(LLM_TENSOR_TOKEN_EMBD, "weight")) {
-                            throw std::runtime_error(format("imatrix size %d is different from tensor size %d for %s",
-                                    int(it->second.size()), int(tensor->ne[0]*tensor->ne[2]), tensor->name));
-                        }
-                    }
+                if (work.size() < (size_t)nelements * 4) {
+                    work.resize(nelements * 4); // upper bound on size
                 }
-            }
-            if ((new_type == GGML_TYPE_IQ2_XXS ||
-                 new_type == GGML_TYPE_IQ2_XS  ||
-                 new_type == GGML_TYPE_IQ2_S   ||
-                 new_type == GGML_TYPE_IQ1_S   ||
-                (new_type == GGML_TYPE_IQ1_M && strcmp(tensor->name, "token_embd.weight") && strcmp(tensor->name, "output.weight"))  ||
-                (new_type == GGML_TYPE_Q2_K && params->ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S && strcmp(tensor->name, "token_embd.weight") != 0)) && !imatrix) {
-                LLAMA_LOG_ERROR("\n\n============================================================\n");
-                LLAMA_LOG_ERROR("Missing importance matrix for tensor %s in a very low-bit quantization\n", tensor->name);
-                LLAMA_LOG_ERROR("The result will be garbage, so bailing out\n");
-                LLAMA_LOG_ERROR("============================================================\n\n");
-                throw std::runtime_error(format("Missing importance matrix for tensor %s in a very low-bit quantization", tensor->name));
-            }
+                new_data = work.data();
 
-            float * f32_data;
+                const int64_t n_per_row = tensor->ne[0];
+                const int64_t nrows = tensor->ne[1];
 
-            if (tensor->type == GGML_TYPE_F32) {
-                f32_data = (float *) tensor->data;
-            } else if (ggml_is_quantized(tensor->type) && !params->allow_requantize) {
-                throw std::runtime_error(format("requantizing from type %s is disabled", ggml_type_name(tensor->type)));
-            } else {
-                llama_tensor_dequantize_impl(tensor, f32_conv_buf, workers, nelements, nthread);
-                f32_data = (float *) f32_conv_buf.data();
-            }
+                static const int64_t min_chunk_size = 32 * 512;
+                const int64_t chunk_size = (n_per_row >= min_chunk_size ? n_per_row : n_per_row * ((min_chunk_size + n_per_row - 1)/n_per_row));
 
-            LLAMA_LOG_INFO("converting to %s .. ", ggml_type_name(new_type));
-            fflush(stdout);
+                const int64_t nelements_matrix = tensor->ne[0] * tensor->ne[1];
+                const int64_t nchunk = (nelements_matrix + chunk_size - 1)/chunk_size;
+                const int64_t nthread_use = nthread > 1 ? std::max((int64_t)1, std::min((int64_t)nthread, nchunk)) : 1;
 
-            if (work.size() < (size_t)nelements * 4) {
-                work.resize(nelements * 4); // upper bound on size
-            }
-            new_data = work.data();
-
-            const int64_t n_per_row = tensor->ne[0];
-            const int64_t nrows = tensor->ne[1];
-
-            static const int64_t min_chunk_size = 32 * 512;
-            const int64_t chunk_size = (n_per_row >= min_chunk_size ? n_per_row : n_per_row * ((min_chunk_size + n_per_row - 1)/n_per_row));
-
-            const int64_t nelements_matrix = tensor->ne[0] * tensor->ne[1];
-            const int64_t nchunk = (nelements_matrix + chunk_size - 1)/chunk_size;
-            const int64_t nthread_use = nthread > 1 ? std::max((int64_t)1, std::min((int64_t)nthread, nchunk)) : 1;
-
-            // quantize each expert separately since they have different importance matrices
-            new_size = 0;
-            for (int64_t i03 = 0; i03 < tensor->ne[2]; ++i03) {
-                const float * f32_data_03 = f32_data + i03 * nelements_matrix;
-                void * new_data_03 = (char *)new_data + ggml_row_size(new_type, n_per_row) * i03 * nrows;
-                const float * imatrix_03 = imatrix ? imatrix + i03 * n_per_row : nullptr;
-
-                new_size += llama_tensor_quantize_impl(new_type, f32_data_03, new_data_03, chunk_size, nrows, n_per_row, imatrix_03, workers, nthread_use);
-
-                // TODO: temporary sanity check that the F16 -> MXFP4 is lossless
-#if 0
-                if (new_type == GGML_TYPE_MXFP4) {
-                    auto * x = f32_data_03;
-
-                    //LLAMA_LOG_INFO("nrows = %d, n_per_row = %d\n", nrows, n_per_row);
-                    std::vector<float> deq(nrows*n_per_row);
-                    const ggml_type_traits * qtype = ggml_get_type_traits(new_type);
-                    qtype->to_float(new_data_03, deq.data(), deq.size());
-
-                    double err = 0.0f;
-                    for (int i = 0; i < (int) deq.size(); ++i) {
-                        err += fabsf(deq[i] - x[i]);
-                        //if (fabsf(deq[i] - x[i]) > 0.00001 && i < 256) {
-                        if (deq[i] != x[i]) {
-                            LLAMA_LOG_INFO("deq[%d] = %f, x[%d] = %f\n", i, deq[i], i, x[i]);
-                        }
-                    }
-                    //LLAMA_LOG_INFO("err = %f\n", err);
-                    GGML_ASSERT(err == 0.00000);
+                // quantize each expert separately since they have different importance matrices
+                new_size = 0;
+                for (int64_t i03 = 0; i03 < tensor->ne[2]; ++i03) {
+                    const float * f32_data_03 = f32_data + i03 * nelements_matrix;
+                    void * new_data_03 = (char *)new_data + ggml_row_size(new_type, n_per_row) * i03 * nrows;
+                    const float * imatrix_03 = imatrix ? imatrix + i03 * n_per_row : nullptr;
+
+                    new_size += llama_tensor_quantize_impl(new_type, f32_data_03, new_data_03, chunk_size, nrows, n_per_row, imatrix_03, workers, nthread_use);
                 }
-#endif
+                LLAMA_LOG_INFO("size = %8.2f MiB -> %8.2f MiB\n", tensor_size/1024.0/1024.0, new_size/1024.0/1024.0);
             }
-            LLAMA_LOG_INFO("size = %8.2f MiB -> %8.2f MiB\n", ggml_nbytes(tensor)/1024.0/1024.0, new_size/1024.0/1024.0);
-        }
-        total_size_org += ggml_nbytes(tensor);
-        total_size_new += new_size;
+            total_size_org += tensor_size;
+            total_size_new += new_size;
+
+            // update the gguf meta data as we go
+            gguf_set_tensor_type(ctx_outs[cur_split].get(), name.c_str(), new_type);
+            GGML_ASSERT(gguf_get_tensor_size(ctx_outs[cur_split].get(), gguf_find_tensor(ctx_outs[cur_split].get(), name.c_str())) == new_size);
+            gguf_set_tensor_data(ctx_outs[cur_split].get(), name.c_str(), new_data);
+
+            // write tensor data + padding
+            fout.write((const char *) new_data, new_size);
+            zeros(fout, GGML_PAD(new_size, align) - new_size);
+        } // no --dry-run
+    } // main loop
+
+    if (!params->dry_run) {
+        close_ofstream();
+    }
 
-        // update the gguf meta data as we go
-        gguf_set_tensor_type(ctx_outs[cur_split].get(), name.c_str(), new_type);
-        GGML_ASSERT(gguf_get_tensor_size(ctx_outs[cur_split].get(), gguf_find_tensor(ctx_outs[cur_split].get(), name.c_str())) == new_size);
-        gguf_set_tensor_data(ctx_outs[cur_split].get(), name.c_str(), new_data);
+    LLAMA_LOG_INFO("%s: model size  = %8.2f MiB (%.2f BPW)\n", __func__, total_size_org/1024.0/1024.0, total_size_org*8.0/ml.n_elements);
+    LLAMA_LOG_INFO("%s: quant size  = %8.2f MiB (%.2f BPW)\n", __func__, total_size_new/1024.0/1024.0, total_size_new*8.0/ml.n_elements);
 
-        // write tensor data + padding
-        fout.write((const char *) new_data, new_size);
-        zeros(fout, GGML_PAD(new_size, align) - new_size);
+    if (!params->imatrix && params->dry_run && will_require_imatrix) {
+        LLAMA_LOG_WARN("%s: WARNING: dry run completed successfully, but actually completing this quantization will require an imatrix!\n",
+                       __func__
+        );
     }
-    close_ofstream();
-
-    LLAMA_LOG_INFO("%s: model size  = %8.2f MiB\n", __func__, total_size_org/1024.0/1024.0);
-    LLAMA_LOG_INFO("%s: quant size  = %8.2f MiB\n", __func__, total_size_new/1024.0/1024.0);
 
     if (qs.n_fallback > 0) {
         LLAMA_LOG_WARN("%s: WARNING: %d of %d tensor(s) required fallback quantization\n",
-                __func__, qs.n_fallback, qs.n_k_quantized + qs.n_fallback);
+                __func__, qs.n_fallback, ml.n_tensors);
     }
 }
 
@@ -1045,6 +1279,7 @@ llama_model_quantize_params llama_model_quantize_default_params() {
         /*.only_copy                   =*/ false,
         /*.pure                        =*/ false,
         /*.keep_split                  =*/ false,
+        /*.dry_run                     =*/ false,
         /*.imatrix                     =*/ nullptr,
         /*.kv_overrides                =*/ nullptr,
         /*.tensor_type                 =*/ nullptr,
diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp
index 62e137fb842..68ba292d426 100644
--- a/src/llama-vocab.cpp
+++ b/src/llama-vocab.cpp
@@ -289,6 +289,15 @@ struct llm_tokenizer_bpe : llm_tokenizer {
                     "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
                 };
                 break;
+            case LLAMA_VOCAB_PRE_TYPE_JAIS2:
+                regex_exprs = {
+                    // original regex from tokenizer.json
+                    //"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s{512}(?!\\S)|\\s{256}(?!\\S)|\\s{128}(?!\\S)|\\s{64}(?!\\S)|\\s{32}(?!\\S)|\\s{16}(?!\\S)|\\s{8}(?!\\S)|\\s{4}(?!\\S)|\\s{1,2}(?!\\S)|\\s{1}",
+
+                    // adapted: same as llama3 but with cascading whitespace pattern
+                    "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s{512}(?!\\S)|\\s{256}(?!\\S)|\\s{128}(?!\\S)|\\s{64}(?!\\S)|\\s{32}(?!\\S)|\\s{16}(?!\\S)|\\s{8}(?!\\S)|\\s{4}(?!\\S)|\\s{1,2}(?!\\S)|\\s{1}",
+                };
+                break;
             case LLAMA_VOCAB_PRE_TYPE_DBRX:
             case LLAMA_VOCAB_PRE_TYPE_SMAUG:
                 regex_exprs = {
@@ -308,6 +317,7 @@ struct llm_tokenizer_bpe : llm_tokenizer {
                 break;
             case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK3_LLM:
             case LLAMA_VOCAB_PRE_TYPE_HUNYUAN_DENSE:
+            case LLAMA_VOCAB_PRE_TYPE_JOYAI_LLM:
                 regex_exprs = {
                     "\\p{N}{1,3}",
                     "[一-龥぀-ゟ゠-ヿ]+",
@@ -422,6 +432,14 @@ struct llm_tokenizer_bpe : llm_tokenizer {
                     "[^\\r\\n\\p{L}\\p{N}]?((?=[\\p{L}])([^a-z]))*((?=[\\p{L}])([^A-Z]))+(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])?|[^\\r\\n\\p{L}\\p{N}]?((?=[\\p{L}])([^a-z]))+((?=[\\p{L}])([^A-Z]))*(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])?|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n/]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
                 };
                 break;
+            case LLAMA_VOCAB_PRE_TYPE_TINY_AYA:
+                regex_exprs = {
+                    // original regex from tokenizer.json: "\\d{1,3}(?=(?:\\d{3})*\\b)"
+                    "\\d{1,3}(?=(?:\\d{3})*\\b)",
+                    // original regex from tokenizer.json: "[^\\r\\n\\p{L}\\p{N}]?[\\p{Lu}\\p{Lt}\\p{Lm}\\p{Lo}\\p{M}]*[\\p{Ll}\\p{Lm}\\p{Lo}\\p{M}]+(?i:'s|'t|'re|'ve|'m|'ll|'d)?|[^\\r\\n\\p{L}\\p{N}]?[\\p{Lu}\\p{Lt}\\p{Lm}\\p{Lo}\\p{M}]+[\\p{Ll}\\p{Lm}\\p{Lo}\\p{M}]*(?i:'s|'t|'re|'ve|'m|'ll|'d)?|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n/]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+                    "[^\\r\\n\\p{L}\\p{N}]?[\\p{Lu}\\p{Lt}\\p{Lm}\\p{Lo}\\p{M}]*[\\p{Ll}\\p{Lm}\\p{Lo}\\p{M}]+(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])?|[^\\r\\n\\p{L}\\p{N}]?[\\p{Lu}\\p{Lt}\\p{Lm}\\p{Lo}\\p{M}]+[\\p{Ll}\\p{Lm}\\p{Lo}\\p{M}]*(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])?|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n/]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+                };
+                break;
             case LLAMA_VOCAB_PRE_TYPE_KIMI_K2:
                 regex_exprs = {
                     // K2 trigger pattern - this will activate the custom K2 handler in unicode.cpp
@@ -1701,7 +1719,7 @@ struct llama_vocab::impl {
 };
 
 void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
-    struct gguf_context * ctx = ml.meta.get();
+    struct gguf_context * ctx = ml.metadata;
 
     // determine vocab type
     {
@@ -1815,7 +1833,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                 const char * pc = (const char *) gguf_get_arr_data(ctx, precompiled_charsmap_keyidx);
                 precompiled_charsmap.assign(pc, pc + n_precompiled_charsmap);
 #if defined(__BYTE_ORDER__) && defined(__ORDER_BIG_ENDIAN__) && __BYTE_ORDER__ == __ORDER_BIG_ENDIAN__
-                // correct endiannes of data in precompiled_charsmap binary blob
+                // correct endianness of data in precompiled_charsmap binary blob
                 uint32_t * xcda_blob_size = (uint32_t *) &precompiled_charsmap[0];
                 *xcda_blob_size = __builtin_bswap32(*xcda_blob_size);
                 assert(*xcda_blob_size + sizeof(uint32_t) < n_precompiled_charsmap);
@@ -1872,7 +1890,8 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                     tokenizer_pre == "falcon-h1" ||
                     tokenizer_pre == "pixtral"  ||
                     tokenizer_pre == "midm-2.0" ||
-                    tokenizer_pre == "lfm2") {
+                    tokenizer_pre == "lfm2"     ||
+                    tokenizer_pre == "jina-v5-nano") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_LLAMA3;
                 ignore_merges = true;
                 add_bos = true;
@@ -1912,8 +1931,11 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                     tokenizer_pre == "jina-v2-de" ||
                     tokenizer_pre == "a.x-4.0" ||
                     tokenizer_pre == "mellum"  ||
-                    tokenizer_pre == "modern-bert" ) {
+                    tokenizer_pre == "modern-bert") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_GPT2;
+            } else if (
+                    tokenizer_pre == "jais-2") {
+                pre_type = LLAMA_VOCAB_PRE_TYPE_JAIS2;
             } else if (
                     tokenizer_pre == "jina-v1-en" ||
                     tokenizer_pre == "jina-v2-code" ||
@@ -2005,10 +2027,15 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                 tokenizer_pre == "megrez") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_QWEN2;
             } else if (
-                    tokenizer_pre == "gpt-4o" ||
-                    tokenizer_pre == "llama4") {
+                tokenizer_pre == "gpt-4o" ||
+                tokenizer_pre == "llama4" ||
+                tokenizer_pre == "kanana2") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_GPT4O;
                 clean_spaces = false;
+            } else if (
+                tokenizer_pre == "tiny_aya") {
+                pre_type = LLAMA_VOCAB_PRE_TYPE_TINY_AYA;
+                clean_spaces = false;
             } else if (
                 tokenizer_pre == "superbpe") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_SUPERBPE;
@@ -2039,6 +2066,10 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                 tokenizer_pre == "hunyuan-dense") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_HUNYUAN_DENSE;
                 clean_spaces = false;
+            } else if (
+                tokenizer_pre == "joyai-llm") {
+                pre_type = LLAMA_VOCAB_PRE_TYPE_JOYAI_LLM;
+                clean_spaces = false;
             } else if (
                 tokenizer_pre == "kimi-k2") {
                 pre_type = LLAMA_VOCAB_PRE_TYPE_KIMI_K2;
@@ -2441,6 +2472,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                     || t.first == "<|calls|>"  // solar-open
                     || t.first == "<end_of_turn>"
                     || t.first == "<|endoftext|>"
+                    || t.first == "</s>"      // paddleocr
                     || t.first == "<|eom_id|>"
                     || t.first == "<EOT>"
                     || t.first == "_<EOT>"
diff --git a/src/llama-vocab.h b/src/llama-vocab.h
index 718238fb866..be5b08012df 100644
--- a/src/llama-vocab.h
+++ b/src/llama-vocab.h
@@ -55,6 +55,9 @@ enum llama_vocab_pre_type {
     LLAMA_VOCAB_PRE_TYPE_YOUTU           = 44,
     LLAMA_VOCAB_PRE_TYPE_EXAONE_MOE      = 45,
     LLAMA_VOCAB_PRE_TYPE_QWEN35          = 46,
+    LLAMA_VOCAB_PRE_TYPE_TINY_AYA        = 47,
+    LLAMA_VOCAB_PRE_TYPE_JOYAI_LLM       = 48,
+    LLAMA_VOCAB_PRE_TYPE_JAIS2           = 49,
 };
 
 struct LLM_KV;
diff --git a/src/llama.cpp b/src/llama.cpp
index 6da90d6f1f8..872e659edca 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -1,5 +1,6 @@
 #include "llama.h"
 
+#include "ggml-cpp.h"
 #include "llama-impl.h"
 
 #include "llama-chat.h"
@@ -12,6 +13,7 @@
 
 #include "ggml.h"
 #include "ggml-backend.h"
+#include "gguf.h"
 
 #include <algorithm>
 #include <cassert>
@@ -825,7 +827,8 @@ int64_t llama_time_us(void) {
 }
 
 // Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback
-static int llama_model_load(const std::string & fname, std::vector<std::string> & splits, llama_model & model, llama_model_params & params) {
+static int llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud,
+        const std::string & fname, std::vector<std::string> & splits, llama_model & model, llama_model_params & params) {
     // loading time will be recalculated after the first eval, so
     // we take page faults deferred by mmap() into consideration
     model.t_load_us = 0;
@@ -834,7 +837,8 @@ static int llama_model_load(const std::string & fname, std::vector<std::string>
     model.t_start_us = tm.t_start_us;
 
     try {
-        llama_model_loader ml(fname, splits, params.use_mmap, params.use_direct_io, params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides);
+        llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, params.use_mmap, params.use_direct_io,
+            params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides);
 
         ml.print_info();
 
@@ -880,9 +884,13 @@ static int llama_model_load(const std::string & fname, std::vector<std::string>
 }
 
 static struct llama_model * llama_model_load_from_file_impl(
+        struct gguf_context * metadata,
+        llama_model_set_tensor_data_t set_tensor_data,
+        void * set_tensor_data_ud,
         const std::string & path_model,
         std::vector<std::string> & splits,
         struct llama_model_params params) {
+    GGML_ASSERT((metadata == nullptr) != path_model.empty() && "exactly one out of metadata and path_model needs to be defined");
     ggml_time_init();
 
     if (!params.vocab_only && ggml_backend_reg_count() == 0) {
@@ -1003,7 +1011,7 @@ static struct llama_model * llama_model_load_from_file_impl(
                 props.memory_free/1024/1024);
     }
 
-    const int status = llama_model_load(path_model, splits, *model, params);
+    const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, *model, params);
     GGML_ASSERT(status <= 0);
     if (status < 0) {
         if (status == -1) {
@@ -1019,6 +1027,18 @@ static struct llama_model * llama_model_load_from_file_impl(
     return model;
 }
 
+struct llama_model * llama_model_init_from_user(
+        struct gguf_context * metadata,
+        llama_model_set_tensor_data_t set_tensor_data,
+        void * set_tensor_data_ud,
+        struct llama_model_params params) {
+    GGML_ASSERT(metadata != nullptr);
+    std::string path_model;
+    std::vector<std::string> splits = {};
+    params.use_mmap = false;
+    params.use_extra_bufts = false;
+    return llama_model_load_from_file_impl(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, params);
+}
 // deprecated
 struct llama_model * llama_load_model_from_file(
         const char * path_model,
@@ -1030,7 +1050,7 @@ struct llama_model * llama_model_load_from_file(
         const char * path_model,
         struct llama_model_params params) {
     std::vector<std::string> splits = {};
-    return llama_model_load_from_file_impl(path_model, splits, params);
+    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, path_model, splits, params);
 }
 
 struct llama_model * llama_model_load_from_splits(
@@ -1046,11 +1066,11 @@ struct llama_model * llama_model_load_from_splits(
     for (size_t i = 0; i < n_paths; ++i) {
         splits.push_back(paths[i]);
     }
-    return llama_model_load_from_file_impl(splits.front(), splits, params);
+    return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, splits.front(), splits, params);
 }
 
 void llama_model_save_to_file(const struct llama_model * model, const char * path_model) {
-    llama_model_saver ms(*model);
+    llama_model_saver ms(model);
     ms.add_kv_from_model();
     ms.add_tensors_from_model();
     ms.save(path_model);
diff --git a/src/models/afmoe.cpp b/src/models/afmoe.cpp
index 6a752a403f6..9aabe25c965 100644
--- a/src/models/afmoe.cpp
+++ b/src/models/afmoe.cpp
@@ -1,8 +1,8 @@
 #include "models.h"
 
 llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -127,7 +127,6 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
                     n_expert, n_expert_used,
                     LLM_FFN_SILU,
                     hparams.expert_weights_norm,           // norm_w (route_norm=True)
-                    hparams.expert_weights_scale,          // scale_w
                     hparams.expert_weights_scale,          // w_scale (route_scale=2.826)
                     (llama_expert_gating_func_type) hparams.expert_gating_func,
                     il);
diff --git a/src/models/apertus.cpp b/src/models/apertus.cpp
index 9af19c1bfe8..4d65614e466 100644
--- a/src/models/apertus.cpp
+++ b/src/models/apertus.cpp
@@ -3,10 +3,10 @@
 
 
 llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/arcee.cpp b/src/models/arcee.cpp
index aa6167dba1e..20b9ffd49eb 100644
--- a/src/models/arcee.cpp
+++ b/src/models/arcee.cpp
@@ -2,10 +2,10 @@
 
 
 llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/arctic.cpp b/src/models/arctic.cpp
index e8f028a723e..b712e08cbd3 100644
--- a/src/models/arctic.cpp
+++ b/src/models/arctic.cpp
@@ -1,11 +1,10 @@
 #include "models.h"
 
-
 llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -104,7 +103,7 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(cur, "ffn_moe_out", il);
diff --git a/src/models/baichuan.cpp b/src/models/baichuan.cpp
index c04b0c98b0b..abd03cd0b97 100644
--- a/src/models/baichuan.cpp
+++ b/src/models/baichuan.cpp
@@ -2,10 +2,10 @@
 
 
 llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -56,6 +56,7 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap
                             );
                     break;
                 case LLM_TYPE_13B:
+                case LLM_TYPE_UNKNOWN:
                     break;
                 default:
                     GGML_ABORT("fatal error");
diff --git a/src/models/bailingmoe.cpp b/src/models/bailingmoe.cpp
index ed56b9c4713..25e3369c313 100644
--- a/src/models/bailingmoe.cpp
+++ b/src/models/bailingmoe.cpp
@@ -1,6 +1,5 @@
 #include "models.h"
 
-
 llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -97,7 +96,7 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, hparams.expert_weights_norm,
-                    false, hparams.expert_weights_scale,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp
index fbf7b210c42..42098624663 100644
--- a/src/models/bailingmoe2.cpp
+++ b/src/models/bailingmoe2.cpp
@@ -1,13 +1,11 @@
 #include "models.h"
 
-
-
 llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -90,7 +88,7 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll
                 model.layers[il].ffn_exp_probs_b,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, hparams.expert_weights_norm,
-                true, hparams.expert_weights_scale,
+                hparams.expert_weights_scale,
                 (llama_expert_gating_func_type) hparams.expert_gating_func,
                 il);
             cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/bert.cpp b/src/models/bert.cpp
index bca0e254fc5..87331791418 100644
--- a/src/models/bert.cpp
+++ b/src/models/bert.cpp
@@ -1,12 +1,10 @@
 #include "models.h"
 
-
-
 llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -129,9 +127,17 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params
         // feed-forward network
         if (hparams.moe_every_n_layers > 0 && il % hparams.moe_every_n_layers == 1) {
             // MoE branch
-            cur = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, nullptr,
-                                model.layers[il].ffn_down_exps, nullptr, hparams.n_expert, hparams.n_expert_used,
-                                LLM_FFN_GELU, false, false, 0.0f, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il);
+            cur = build_moe_ffn(cur,
+                    model.layers[il].ffn_gate_inp,
+                    model.layers[il].ffn_up_exps,
+                    nullptr,
+                    model.layers[il].ffn_down_exps,
+                    nullptr,
+                    hparams.n_expert, hparams.n_expert_used,
+                    LLM_FFN_GELU, false,
+                    hparams.expert_weights_scale,
+                    LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
+                    il);
             cb(cur, "ffn_moe_out", il);
         } else if (model.arch == LLM_ARCH_BERT || model.arch == LLM_ARCH_NOMIC_BERT_MOE ||
                    model.arch == LLM_ARCH_JINA_BERT_V3) {
diff --git a/src/models/bitnet.cpp b/src/models/bitnet.cpp
index 331a3f11197..ccf5bc8e82b 100644
--- a/src/models/bitnet.cpp
+++ b/src/models/bitnet.cpp
@@ -2,9 +2,9 @@
 
 
 llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -29,10 +29,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            if (model.layers[il].wq_scale) {
-                Qcur = ggml_mul(ctx0, Qcur, model.layers[il].wq_scale);
-            }
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
             cb(Qcur, "Qcur", il);
             if (model.layers[il].bq) {
                 Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
@@ -40,10 +37,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
             }
 
             // B1.K
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            if (model.layers[il].wk_scale) {
-                Kcur = ggml_mul(ctx0, Kcur, model.layers[il].wk_scale);
-            }
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
             cb(Kcur, "Kcur", il);
             if (model.layers[il].bk) {
                 Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
@@ -51,10 +45,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
             }
 
             // B1.V
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            if (model.layers[il].wv_scale) {
-                Vcur = ggml_mul(ctx0, Vcur, model.layers[il].wv_scale);
-            }
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
             cb(Vcur, "Vcur", il);
             if (model.layers[il].bv) {
                 Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
@@ -90,10 +81,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
                     LLM_NORM_RMS, il);
             cb(cur, "attn_sub_norm", il);
 
-            cur = build_lora_mm(model.layers[il].wo, cur);
-            if (model.layers[il].wo_scale) {
-                cur = ggml_mul(ctx0, cur, model.layers[il].wo_scale);
-            }
+            cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
             if (model.layers[il].bo) {
                 cur = ggml_add(ctx0, cur, model.layers[il].bo);
             }
@@ -115,8 +103,8 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
         cb(cur, "ffn_norm", il);
 
         cur = build_ffn(cur,
-                model.layers[il].ffn_up,   NULL, model.layers[il].ffn_up_scale,
-                model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_scale,
+                model.layers[il].ffn_up,   NULL, model.layers[il].ffn_up_s,
+                model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_s,
                 NULL,                      NULL, NULL,
                 NULL,
                 LLM_FFN_SILU, LLM_FFN_PAR, il);
@@ -127,10 +115,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
                 LLM_NORM_RMS, il);
         cb(cur, "ffn_sub_norm", il);
 
-        cur = build_lora_mm(model.layers[il].ffn_down, cur);
-        if (model.layers[il].ffn_down_scale) {
-            cur = ggml_mul(ctx0, cur, model.layers[il].ffn_down_scale);
-        }
+        cur = build_lora_mm(model.layers[il].ffn_down, cur, model.layers[il].ffn_down_s);
         cb(cur, "ffn_down", il);
 
         cur = ggml_add(ctx0, cur, ffn_inp);
diff --git a/src/models/bloom.cpp b/src/models/bloom.cpp
index 2c552d1d15e..b1c19bb58a2 100644
--- a/src/models/bloom.cpp
+++ b/src/models/bloom.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/chameleon.cpp b/src/models/chameleon.cpp
index 184511aed4c..2f24105fa14 100644
--- a/src/models/chameleon.cpp
+++ b/src/models/chameleon.cpp
@@ -3,10 +3,10 @@
 #include <float.h>
 
 llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/chatglm.cpp b/src/models/chatglm.cpp
index 2685d4fbcbe..5887ed22e7e 100644
--- a/src/models/chatglm.cpp
+++ b/src/models/chatglm.cpp
@@ -2,10 +2,10 @@
 
 
 llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/codeshell.cpp b/src/models/codeshell.cpp
index 0b3bdbff529..e8e13e143f2 100644
--- a/src/models/codeshell.cpp
+++ b/src/models/codeshell.cpp
@@ -1,11 +1,11 @@
 #include "models.h"
 
 llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/cogvlm.cpp b/src/models/cogvlm.cpp
index 0ceae3aaeb5..2ef2b6e389b 100644
--- a/src/models/cogvlm.cpp
+++ b/src/models/cogvlm.cpp
@@ -2,11 +2,11 @@
 
 llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const float   kq_scale    = 1.0f / sqrtf(float(n_embd_head));
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * inpL;
     ggml_tensor * cur;
diff --git a/src/models/cohere2-iswa.cpp b/src/models/cohere2-iswa.cpp
index 9334b5e4263..7c71a59ae7f 100644
--- a/src/models/cohere2-iswa.cpp
+++ b/src/models/cohere2-iswa.cpp
@@ -1,9 +1,9 @@
 #include "models.h"
 
 llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     const float f_logit_scale = hparams.f_logit_scale;
 
diff --git a/src/models/command-r.cpp b/src/models/command-r.cpp
index 4d3b643b444..ba1230f0419 100644
--- a/src/models/command-r.cpp
+++ b/src/models/command-r.cpp
@@ -4,9 +4,9 @@
 
 llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     const float f_logit_scale = hparams.f_logit_scale;
 
diff --git a/src/models/dbrx.cpp b/src/models/dbrx.cpp
index 6d2a0ebf1b7..73eb5cd24e7 100644
--- a/src/models/dbrx.cpp
+++ b/src/models/dbrx.cpp
@@ -1,12 +1,11 @@
 #include "models.h"
 
-
 llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -89,7 +88,7 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(cur, "ffn_moe_out", il);
diff --git a/src/models/deci.cpp b/src/models/deci.cpp
index 7410a3a46d9..ac448bfcaa8 100644
--- a/src/models/deci.cpp
+++ b/src/models/deci.cpp
@@ -3,10 +3,10 @@
 
 
 llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/deepseek.cpp b/src/models/deepseek.cpp
index 17866c0d88e..3432359e03a 100644
--- a/src/models/deepseek.cpp
+++ b/src/models/deepseek.cpp
@@ -1,13 +1,11 @@
 #include "models.h"
 
-
-
 llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -100,7 +98,7 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, false,
-                false, hparams.expert_weights_scale,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
             cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/deepseek2.cpp b/src/models/deepseek2.cpp
index 987f449934c..d437fe29e71 100644
--- a/src/models/deepseek2.cpp
+++ b/src/models/deepseek2.cpp
@@ -8,7 +8,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
     const int64_t n_embd_head_k = hparams.n_embd_head_k_mla();
     const int64_t n_embd_head_v = hparams.n_embd_head_v_mla();
 
-    const int64_t n_embd_head_qk_rope = hparams.n_rot;
+    const int64_t n_embd_head_qk_rope = hparams.n_rot();
     const int64_t n_embd_head_qk_nope = n_embd_head_k - n_embd_head_qk_rope;
 
     const uint32_t kv_lora_rank = hparams.n_lora_kv;
@@ -45,7 +45,8 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
 
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
-    for (int il = 0; il < n_layer; ++il) {
+    int effective_n_layers = hparams.n_layer - hparams.nextn_predict_layers;
+    for (int il = 0; il < effective_n_layers; ++il) {
         ggml_tensor * inpSA = inpL;
 
         // norm
@@ -145,7 +146,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
                     cb(Qcur, "Qcur_attn_temp_scaled", il);
                 }
 
-                // note: MLA with the absorption optimzation converts into MQA (ie: GQA with 1 group)
+                // note: MLA with the absorption optimization converts into MQA (ie: GQA with 1 group)
                 cur = build_attn(inp_attn_k,
                         model.layers[il].wo, NULL,
                         Qcur, Kcur, Vcur, nullptr, nullptr, model.layers[il].wv_b, kq_scale, il);
@@ -188,7 +189,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
                             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             }
         }
-        if (il == n_layer - 1 && inp_out_ids) {
+        if (il == effective_n_layers - 1 && inp_out_ids) {
             cur   = ggml_get_rows(ctx0, cur, inp_out_ids);
             inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
         }
@@ -215,9 +216,11 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
                 model.layers[il].ffn_exp_probs_b,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, hparams.expert_weights_norm,
-                hparams.expert_weights_scale, hparams.expert_weights_scale,
+                hparams.expert_weights_scale,
                 (llama_expert_gating_func_type) hparams.expert_gating_func,
-                il);
+                il,
+                nullptr,
+                model.layers[il].ffn_gate_up_exps);
             cb(moe_out, "ffn_moe_out", il);
 
             // FFN shared expert
diff --git a/src/models/delta-net-base.cpp b/src/models/delta-net-base.cpp
new file mode 100644
index 00000000000..6bc989c9509
--- /dev/null
+++ b/src/models/delta-net-base.cpp
@@ -0,0 +1,445 @@
+#include "models.h"
+
+#include "llama-impl.h"
+
+// utility to get one slice from the third dimension
+// input dim:  [x, y, c, b]
+// output dim: [x, y, 1, b]
+static ggml_tensor * get_slice_2d(ggml_context * ctx0, ggml_tensor * t, int64_t c) {
+    return ggml_view_4d(ctx0, t, t->ne[0], t->ne[1], 1, t->ne[3],
+        t->nb[1], t->nb[2], t->nb[3], t->nb[2] * c);
+}
+
+llm_build_delta_net_base::llm_build_delta_net_base(const llm_graph_params & params) : llm_graph_context(params) {}
+
+std::pair<ggml_tensor *, ggml_tensor *> llm_build_delta_net_base::build_delta_net_chunking(
+        ggml_tensor * q,
+        ggml_tensor * k,
+        ggml_tensor * v,
+        ggml_tensor * g,
+        ggml_tensor * b,
+        ggml_tensor * s,
+        int           il) {
+    const int64_t S_k      = q->ne[0];
+    const int64_t H_k      = q->ne[1];
+    const int64_t n_tokens = q->ne[2];
+    const int64_t n_seqs   = q->ne[3];
+
+    const int64_t S_v = v->ne[0];
+    const int64_t H_v = v->ne[1];
+    const bool kda = (g->ne[0] == S_k && g->ne[1] == H_k);
+
+    GGML_ASSERT(S_k == S_v);
+    GGML_ASSERT(H_v % H_k == 0);
+
+    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
+    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
+    GGML_ASSERT(v->ne[0] == S_v && v->ne[1] == H_v && v->ne[2] == n_tokens && v->ne[3] == n_seqs);
+
+    GGML_ASSERT(g->ne[0] == 1   || g->ne[0] == S_v);
+    GGML_ASSERT(                   g->ne[1] == H_v && g->ne[2] == n_tokens && g->ne[3] == n_seqs);
+    GGML_ASSERT(b->ne[0] == 1   && b->ne[1] == H_v && b->ne[2] == n_tokens && b->ne[3] == n_seqs);
+    GGML_ASSERT(s->ne[0] == S_v && s->ne[1] == S_v && s->ne[2] == H_v      && s->ne[3] == n_seqs);
+
+    const float scale = 1.0f / sqrtf(S_k);
+
+    q = ggml_scale(ctx0, q, scale);
+
+    cb(q, "q_in", il);
+    cb(k, "k_in", il);
+    cb(v, "v_in", il);
+    cb(b, "b_in", il);
+    cb(g, "g_in", il);
+
+    q = ggml_permute(ctx0, q, 0, 2, 1, 3); // [S_k, n_tokens, H_k, n_seqs]
+    k = ggml_permute(ctx0, k, 0, 2, 1, 3); // [S_k, n_tokens, H_k, n_seqs]
+    v = ggml_permute(ctx0, v, 0, 2, 1, 3); // [S_v, n_tokens, H_v, n_seqs]
+    g = ggml_permute(ctx0, g, 0, 2, 1, 3); // [g_0, n_tokens, H_v, n_seqs]
+    b = ggml_permute(ctx0, b, 0, 2, 1, 3); // [  1, n_tokens, H_v, n_seqs]
+
+    const int CS = kda ? 16 : 64; // chunk size
+
+    const int pad = (CS - n_tokens % CS) % CS;
+    const int n_chunks = (n_tokens + pad) / CS;
+
+    q = ggml_pad(ctx0, q, 0, pad, 0, 0);
+    k = ggml_pad(ctx0, k, 0, pad, 0, 0);
+    v = ggml_pad(ctx0, v, 0, pad, 0, 0);
+    g = ggml_pad(ctx0, g, 0, pad, 0, 0);
+    b = ggml_pad(ctx0, b, 0, pad, 0, 0);
+
+    ggml_tensor * v_b = ggml_mul(ctx0, v, b);
+    ggml_tensor * k_b = ggml_mul(ctx0, k, b);
+
+    cb(v_b, "v_b", il);
+    cb(k_b, "k_b", il);
+
+    q   = ggml_reshape_4d(ctx0, q,   S_k, CS, n_chunks, H_k * n_seqs);
+    k   = ggml_reshape_4d(ctx0, k,   S_k, CS, n_chunks, H_k * n_seqs);
+    k_b = ggml_reshape_4d(ctx0, k_b, S_k, CS, n_chunks, H_v * n_seqs);
+    v   = ggml_reshape_4d(ctx0, v,   S_v, CS, n_chunks, H_v * n_seqs);
+    v_b = ggml_reshape_4d(ctx0, v_b, S_v, CS, n_chunks, H_v * n_seqs);
+
+    g = ggml_reshape_4d(ctx0, g, g->ne[0], CS, n_chunks, H_v * n_seqs);
+    b = ggml_reshape_4d(ctx0, b, 1,        CS, n_chunks, H_v * n_seqs);
+
+    // [CS, g_0, n_chunks, H_v * n_seqs]
+    // TODO: extend ggml_cumsum with axis parameter to avoid transpose
+    ggml_tensor * g_cs = ggml_cumsum(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, g)));
+    cb(g_cs, "g_cs", il);
+
+    ggml_tensor * kb = nullptr;
+    ggml_tensor * kq = nullptr;
+    if (kda) {
+        const int64_t CHB = n_chunks * H_k * n_seqs;
+
+        ggml_tensor * g_cs_i = ggml_reshape_4d(ctx0, g_cs, CS, 1, S_k, CHB);  // [chunk_size, 1, S_k, CHB]
+        ggml_tensor * g_cs_j = ggml_reshape_4d(ctx0, g_cs, 1, CS, S_k, CHB);  // [1, chunk_size, S_k, CHB]
+
+        g_cs_j = ggml_repeat_4d(ctx0, g_cs_j, CS, CS, S_k, CHB);  // [1, chunk_size, S_k, CHB] -> [chunk_size, chunk_size, S_k, CHB]
+
+        // decay_mask [chunk_size,chunk_size,S_k,CHB]
+        ggml_tensor * decay_mask;
+        decay_mask = ggml_sub(ctx0, g_cs_j, g_cs_i);
+        decay_mask = ggml_tri(ctx0, decay_mask, GGML_TRI_TYPE_LOWER_DIAG);
+        decay_mask = ggml_exp(ctx0, decay_mask);
+        cb(decay_mask, "decay_mask", il);
+
+        // decay_mask [S_k,BT_j,BT_i,CHB] *Note* second and third chunk_sizes are switched
+        decay_mask = ggml_cont_4d(ctx0, ggml_permute(ctx0, decay_mask, 2, 1, 0, 3), S_k, CS, CS, CHB);
+
+        ggml_tensor * k_b_i = ggml_reshape_4d(ctx0, k_b, S_k, CS,  1, CHB);
+        ggml_tensor * k_j   = ggml_reshape_4d(ctx0, k,   S_k,  1, CS, CHB);
+        ggml_tensor * q_i   = ggml_reshape_4d(ctx0, q,   S_k, CS,  1, CHB);
+
+        ggml_tensor * decay_k_b_i = ggml_mul(ctx0, decay_mask, k_b_i);
+        ggml_tensor * decay_q_i   = ggml_mul(ctx0, decay_mask, q_i);
+
+        // decay_k_b_i [S,BT,BT,CHB] @ k_j [S,1,BT,CHB] = Akk [BT,1,BT,CHB]
+        kb = ggml_mul_mat(ctx0, decay_k_b_i, k_j);
+        kq = ggml_mul_mat(ctx0, decay_q_i,   k_j);
+
+        kb = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_4d(ctx0, kb, CS, CS, n_chunks, H_v * n_seqs)));
+        kq = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_4d(ctx0, kq, CS, CS, n_chunks, H_v * n_seqs)));
+    } else {
+        ggml_tensor * g_cs_i = g_cs;
+        ggml_tensor * g_cs_j = ggml_reshape_4d(ctx0, g_cs, 1, CS, n_chunks, H_v * n_seqs);
+
+        g_cs_j = ggml_repeat_4d(ctx0, g_cs_j, CS, CS, n_chunks, H_v * n_seqs);
+
+        // [CS, CS, n_chunks, H_v * n_seqs]
+        ggml_tensor * decay_mask;
+        decay_mask = ggml_sub(ctx0, g_cs_j, g_cs_i);
+        decay_mask = ggml_tri(ctx0, decay_mask, GGML_TRI_TYPE_LOWER_DIAG);
+        decay_mask = ggml_exp(ctx0, decay_mask);
+        cb(decay_mask, "decay_mask", il);
+
+        // [CS, CS, n_chunks, H_k * n_seqs]
+        kb = ggml_mul_mat(ctx0, k,  k_b);
+        kb = ggml_mul    (ctx0, kb, decay_mask);
+
+        // [CS, CS, n_chunks, H_k * n_seqs]
+        kq = ggml_mul_mat(ctx0, k, q);
+        kq = ggml_mul(ctx0, kq, decay_mask);
+    }
+
+    kq = ggml_tri(ctx0, kq, GGML_TRI_TYPE_LOWER_DIAG);
+    cb(kq, "kq", il);
+
+    // [CS, CS, n_chunks, H_k * n_seqs]
+    ggml_tensor * attn;
+    attn = ggml_tri(ctx0, kb, GGML_TRI_TYPE_LOWER);
+    cb(attn, "attn", il);
+
+    ggml_tensor * identity;
+    identity = ggml_view_1d(ctx0, attn, CS, 0);
+    identity = ggml_fill   (ctx0, identity, 1.0f);
+    identity = ggml_diag   (ctx0, identity);
+
+    ggml_tensor * lhs = ggml_add(ctx0, attn, identity);
+    cb(lhs, "dnet_add_ch_lhs", il);
+
+    attn = ggml_neg(ctx0, attn);
+    cb(attn, "attn_pre_solve", il);
+
+    ggml_tensor * lin_solve = ggml_solve_tri(ctx0, lhs, attn, true, true, false);
+    attn = ggml_add(ctx0, lin_solve, identity);
+    cb(attn, "dnet_add_ch_attn_solved", il); // [CS, CS, n_chunks, H_k * n_seqs]
+
+    // [S_v, CS, n_chunks, H_v * n_seqs]
+    v = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, v_b)), attn);
+
+    // [CS, 1, n_chunks, H_v * n_seqs] KDA: [CS, S_k, n_chunks, H_v * n_seqs]
+    ggml_tensor * g_exp = ggml_exp(ctx0, g_cs);
+
+    k_b = ggml_cont(ctx0, ggml_transpose(ctx0, k_b));
+
+    // [CS, S_k, n_chunks, H_k * n_seqs]
+    ggml_tensor * kbg = ggml_mul(ctx0, k_b, g_exp);
+    cb(kbg, "k_beta_g_exp", il);
+
+    // [S_k, CS, n_chunks, H_k * n_seqs]
+    ggml_tensor * k_cd = ggml_mul_mat(ctx0, kbg, attn);
+    cb(k_cd, "k_cumdecay", il);
+
+    // [1, CS, n_chunks, H_k * n_seqs] KDA: [S_k, CS, n_chunks, H_k * n_seqs]
+    ggml_tensor * g_exp_t = ggml_cont(ctx0, ggml_transpose(ctx0, g_exp));
+    ggml_tensor * q_g_exp = ggml_mul(ctx0, q, g_exp_t);
+
+    // vectorized calculation of key_gdiff
+    // improved from the chunked version:
+    //   g_last = torch.clamp(g_cum[:, :, -1], max=50.0).exp().unsqueeze(-1).unsqueeze(-1)
+    //   g_diff = torch.clamp(g_cum[:, :, -1:] - g_cum, max=50.0).exp()
+    //   key_gdiff = key * g_diff.unsqueeze(-1)
+    //   kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
+    //   last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
+
+    // get last element in g_cumsum along CS dimension (ne0)
+    // example: [[x, y, z, ..., last], ...] -> [[last], ...]
+    // [1, 1, n_chunks, H_v * n_seqs] KDA: [1, S_k, n_chunks, H_v * n_seqs]
+    ggml_tensor * g_last = ggml_view_4d(ctx0, g_cs, 1, g_cs->ne[1], g_cs->ne[2], g_cs->ne[3],
+            g_cs->nb[1],
+            g_cs->nb[2],
+            g_cs->nb[3],
+            ggml_row_size(g_cs->type, g_cs->ne[0] - 1));
+    cb(g_last, "g_last", il);
+
+    // TODO: remove this cont when CUDA supports non-cont unary ops
+    g_last = ggml_cont(ctx0, g_last);
+
+    // [1, 1, n_chunks, H_v * n_seqs] KDA: [S_k, 1, n_chunks, H_v * n_seqs]
+    ggml_tensor * g_last_exp_t = ggml_transpose(ctx0, ggml_exp(ctx0, g_last));
+    cb(g_last_exp_t, "g_last_exp_t", il);
+
+    // [CS, 1, n_chunks, H_v * n_seqs] KDA: [CS, S_k, n_chunks, H_v * n_seqs]
+    ggml_tensor * g_diff = ggml_neg(ctx0, ggml_sub(ctx0, g_cs, g_last));
+    cb(g_diff, "g_diff", il);
+
+    ggml_tensor * g_diff_exp_t = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_exp(ctx0, g_diff)));
+
+    // [S_k, CS, n_chunks, H_v * n_seqs]
+    ggml_tensor * kg = ggml_mul(ctx0, k, g_diff_exp_t);
+    cb(kg, "key_gdiff", il);
+
+    // [CS, S_k, n_chunks, H_v * n_seqs]
+    ggml_tensor * kg_t = ggml_cont(ctx0, ggml_transpose(ctx0, kg));
+    cb(kg_t, "key_gdiff_t", il);
+
+    s = ggml_reshape_4d(ctx0, s, S_v, S_v, 1, H_v * n_seqs);
+    cb(s, "dnet_add_ch_state", il);
+
+    // [CS, S_v, n_chunks, H_v * n_seqs]
+    ggml_tensor * v_t = ggml_cont(ctx0, ggml_transpose(ctx0, v));
+
+    for (int64_t chunk = 0; chunk < n_chunks; chunk++) {
+        ggml_tensor * ch_k_cd    = get_slice_2d(ctx0, k_cd,    chunk); // [S_k,  CS, 1, H_k * n_seqs]
+        ggml_tensor * ch_v_t     = get_slice_2d(ctx0, v_t,     chunk); // [ CS, S_v, 1, H_v * n_seqs]
+        ggml_tensor * ch_kq      = get_slice_2d(ctx0, kq,      chunk); // [ CS,  CS, 1, H_k * n_seqs]
+        ggml_tensor * ch_q_g_exp = get_slice_2d(ctx0, q_g_exp, chunk); // [S_k,  CS, 1, H_k * n_seqs]
+        ggml_tensor * ch_kg_t    = get_slice_2d(ctx0, kg_t,    chunk); // [ CS, S_k, 1, H_v * n_seqs]
+
+        // [CS, S_v, 1, H_v * n_seqs]
+        ggml_tensor * v_t_p = ggml_mul_mat(ctx0, ch_k_cd, s);
+        cb(v_t_p, "v_prime", il);
+
+        // [CS, S_v, 1, H_v * n_seqs]
+        ggml_tensor * v_t_new = ggml_sub(ctx0, ch_v_t, v_t_p);
+        cb(v_t_new, "v_t_new", il);
+
+        // [S_v, CS, 1, H_v * n_seqs]
+        ggml_tensor * v_attn = ggml_mul_mat(ctx0, v_t_new, ch_kq);
+        cb(v_attn, "v_attn", il);
+
+        // [S_v, CS, 1, H_v * n_seqs]
+        ggml_tensor * attn_inter = ggml_mul_mat(ctx0, s, ch_q_g_exp);
+        cb(attn_inter, "attn_inter", il);
+
+        // [S_v, CS, 1, H_v * n_seqs]
+        ggml_tensor * o_ch = ggml_add(ctx0, attn_inter, v_attn);
+        cb(o_ch, "dnet_add_ch_attn_out", il);
+
+        v = ggml_set_inplace(ctx0, v, o_ch, v->nb[1], v->nb[2], v->nb[3], chunk * v->nb[2]);
+
+        // kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
+        // TODO: head broadcast might not work here - probably will need a transpose
+        ggml_tensor * kgv = ggml_mul_mat(ctx0, ch_kg_t, v_t_new); // [S_k, S_v, 1, H_k * n_seqs]
+
+        // last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
+        ggml_tensor * ch_g_last_exp_t = get_slice_2d(ctx0, g_last_exp_t, chunk);
+
+        s = ggml_mul(ctx0, s, ch_g_last_exp_t);
+        s = ggml_add(ctx0, s, kgv);
+        cb(s, "dnet_add_ch_state", il);
+    }
+
+    // truncate padded tokens
+    ggml_tensor * o = ggml_view_4d(ctx0, v,
+            S_v, n_tokens, H_v, n_seqs,
+            ggml_row_size(v->type, S_v),
+            ggml_row_size(v->type, S_v * CS * n_chunks),
+            ggml_row_size(v->type, S_v * CS * n_chunks * H_v), 0);
+    o = ggml_permute  (ctx0, o, 0, 2, 1, 3); // [S_v, H_v, n_tokens, n_seqs]
+    s = ggml_reshape_4d(ctx0, s, S_v, S_v, H_v, n_seqs);
+    cb(s, "output_state", il);
+
+    return {o, s};
+}
+
+std::pair<ggml_tensor *, ggml_tensor *> llm_build_delta_net_base::build_delta_net_autoregressive(
+        ggml_tensor * q,
+        ggml_tensor * k,
+        ggml_tensor * v,
+        ggml_tensor * g,
+        ggml_tensor * b, // beta
+        ggml_tensor * s, // state
+        int           il) {
+    const int64_t S_k      = q->ne[0];
+    const int64_t H_k      = q->ne[1];
+    const int64_t n_tokens = q->ne[2];
+    const int64_t n_seqs   = q->ne[3];
+
+    const int64_t S_v = v->ne[0];
+    const int64_t H_v = v->ne[1];
+
+    GGML_ASSERT(n_tokens == 1);
+
+    GGML_ASSERT(S_k == S_v);
+    GGML_ASSERT(H_v % H_k == 0);
+
+    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
+    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
+    GGML_ASSERT(v->ne[0] == S_v && v->ne[1] == H_v && v->ne[2] == n_tokens && v->ne[3] == n_seqs);
+
+    GGML_ASSERT(g->ne[0] == 1   || g->ne[0] == S_v);
+    GGML_ASSERT(                   g->ne[1] == H_v && g->ne[2] == n_tokens && g->ne[3] == n_seqs);
+    GGML_ASSERT(b->ne[0] == 1   && b->ne[1] == H_v && b->ne[2] == n_tokens && b->ne[3] == n_seqs);
+    GGML_ASSERT(s->ne[0] == S_v && s->ne[1] == S_v && s->ne[2] == H_v      && s->ne[3] == n_seqs);
+
+    const float scale = 1.0f / sqrtf(S_k);
+
+    q = ggml_scale(ctx0, q, scale);
+
+    q = ggml_permute(ctx0, q, 0, 2, 1, 3); // [S_k, n_tokens, H_k, n_seqs]
+    k = ggml_permute(ctx0, k, 0, 2, 1, 3); // [S_k, n_tokens, H_k, n_seqs]
+    v = ggml_permute(ctx0, v, 0, 2, 1, 3); // [S_v, n_tokens, H_v, n_seqs]
+
+    cb(q, "q_in", il);
+    cb(k, "k_in", il);
+    cb(v, "v_in", il);
+    cb(b, "b_in", il);
+    cb(g, "g_in", il);
+
+    // GDA: [1,  1,  H_v, n_seqs]
+    // KDA: [1, S_k, H_v, n_seqs]
+    g = ggml_reshape_4d(ctx0, g, 1, g->ne[0], H_v, n_seqs);
+    b = ggml_reshape_4d(ctx0, b, 1,        1, H_v, n_seqs);
+
+    // [S_v, S_v, H_v, n_seqs]
+    g = ggml_exp(ctx0, g);
+    s = ggml_mul(ctx0, s, g);
+
+    // [1, S_v, H_v, n_seqs]
+    ggml_tensor * sk;
+    sk = ggml_mul     (ctx0, s, k);
+    sk = ggml_sum_rows(ctx0, sk);
+
+    // [S_v, 1, H_v, n_seqs]
+    ggml_tensor * d;
+    d = ggml_sub(ctx0, v, ggml_transpose(ctx0, sk));
+    d = ggml_mul(ctx0, d, b);
+
+    // [1, S_v, H_v, n_seqs]
+    ggml_tensor * d_t;
+    d_t = ggml_transpose(ctx0, d);
+
+    // [S_v, S_v, H_v, n_seqs]
+    ggml_tensor * kd;
+    k  = ggml_repeat(ctx0, k, s);
+    kd = ggml_mul   (ctx0, k, d_t);
+
+    s = ggml_add(ctx0, s, kd);
+
+    cb(s, "dnet_add_ar_state", il);
+
+    ggml_tensor * s_q = ggml_mul     (ctx0, s, q);
+    ggml_tensor * o   = ggml_sum_rows(ctx0, s_q);
+
+    o = ggml_permute  (ctx0, o, 2, 0, 1, 3); // [S_v, H_v, n_tokens, n_seqs]
+
+    return {o, s};
+}
+
+std::pair<ggml_tensor *, ggml_tensor *> llm_build_delta_net_base::build_delta_net_fused(
+        ggml_tensor * q,
+        ggml_tensor * k,
+        ggml_tensor * v,
+        ggml_tensor * g,
+        ggml_tensor * b,
+        ggml_tensor * s,
+        int           il) {
+    const int64_t S_k      = q->ne[0];
+    const int64_t H_k      = q->ne[1];
+    const int64_t n_tokens = q->ne[2];
+    const int64_t n_seqs   = q->ne[3];
+
+    const int64_t S_v = v->ne[0];
+    const int64_t H_v = v->ne[1];
+
+    GGML_ASSERT(S_k == S_v);
+    GGML_ASSERT(H_v % H_k == 0);
+
+    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
+    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
+    GGML_ASSERT(v->ne[0] == S_v && v->ne[1] == H_v && v->ne[2] == n_tokens && v->ne[3] == n_seqs);
+
+    GGML_ASSERT(g->ne[0] == 1   || g->ne[0] == S_v);
+    GGML_ASSERT(                   g->ne[1] == H_v && g->ne[2] == n_tokens && g->ne[3] == n_seqs);
+    GGML_ASSERT(b->ne[0] == 1   && b->ne[1] == H_v && b->ne[2] == n_tokens && b->ne[3] == n_seqs);
+    GGML_ASSERT(s->ne[0] == S_v && s->ne[1] == S_v && s->ne[2] == H_v      && s->ne[3] == n_seqs);
+
+    ggml_tensor * result = ggml_gated_delta_net(ctx0, q, k, v, g, b, s);
+    if (n_tokens == 1) {
+        cb(result, LLAMA_TENSOR_NAME_FGDN_AR, il);
+    } else {
+        cb(result, LLAMA_TENSOR_NAME_FGDN_CH, il);
+    }
+
+    ggml_tensor * output = ggml_view_4d(ctx0, result,
+            S_v, H_v, n_tokens, n_seqs,
+            ggml_row_size(result->type, S_v),
+            ggml_row_size(result->type, S_v * H_v),
+            ggml_row_size(result->type, S_v * H_v * n_tokens), 0);
+
+    ggml_tensor * new_state = ggml_view_4d(ctx0, result,
+            S_v, S_v, H_v, n_seqs,
+            ggml_row_size(result->type, S_v),
+            ggml_row_size(result->type, S_v * S_v),
+            ggml_row_size(result->type, S_v * S_v * H_v),
+            ggml_row_size(result->type, S_v * H_v * n_tokens * n_seqs));
+
+    return {output, new_state};
+}
+
+std::pair<ggml_tensor *, ggml_tensor *> llm_build_delta_net_base::build_delta_net(
+        ggml_tensor * q,
+        ggml_tensor * k,
+        ggml_tensor * v,
+        ggml_tensor * g,
+        ggml_tensor * b,
+        ggml_tensor * s,
+        int           il) {
+    const int64_t n_seq_tokens = q->ne[2];
+
+    if (n_seq_tokens == 1) {
+        if (cparams.fused_gdn_ar) {
+            return build_delta_net_fused(q, k, v, g, b, s, il);
+        }
+        return build_delta_net_autoregressive(q, k, v, g, b, s, il);
+    }
+
+    if (cparams.fused_gdn_ch) {
+        return build_delta_net_fused(q, k, v, g, b, s, il);
+    }
+
+    return build_delta_net_chunking(q, k, v, g, b, s, il);
+}
diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp
index 09c36f82fe2..07236dd27c9 100644
--- a/src/models/dots1.cpp
+++ b/src/models/dots1.cpp
@@ -1,13 +1,11 @@
 #include "models.h"
 
-
-
 llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -91,7 +89,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para
                 model.layers[il].ffn_exp_probs_b,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, hparams.expert_weights_norm,
-                true, hparams.expert_weights_scale,
+                hparams.expert_weights_scale,
                 (llama_expert_gating_func_type) hparams.expert_gating_func,
                 il);
             cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/dream.cpp b/src/models/dream.cpp
index 2aafbae1397..4edc8530cb3 100644
--- a/src/models/dream.cpp
+++ b/src/models/dream.cpp
@@ -5,10 +5,10 @@
 llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     //copied from qwen2
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/ernie4-5-moe.cpp b/src/models/ernie4-5-moe.cpp
index 0d96d14e6fd..63baf152c40 100644
--- a/src/models/ernie4-5-moe.cpp
+++ b/src/models/ernie4-5-moe.cpp
@@ -1,13 +1,11 @@
 #include "models.h"
 
-
-
 llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -103,7 +101,7 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const
                                         model.layers[il].ffn_exp_probs_b,
                                         n_expert, n_expert_used,
                                         LLM_FFN_SILU, true,
-                                        false, 0.0,
+                                        hparams.expert_weights_scale,
                                         LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                                         il);
             cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/ernie4-5.cpp b/src/models/ernie4-5.cpp
index 99aead53283..d548de0547b 100644
--- a/src/models/ernie4-5.cpp
+++ b/src/models/ernie4-5.cpp
@@ -2,10 +2,10 @@
 
 llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/eurobert.cpp b/src/models/eurobert.cpp
new file mode 100644
index 00000000000..e8628d165d0
--- /dev/null
+++ b/src/models/eurobert.cpp
@@ -0,0 +1,97 @@
+#include "models.h"
+
+llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    inpL = build_inp_embd(model.tok_embd);
+    cb(inpL, "inp_embd", -1);
+
+    auto * inp_attn = build_attn_inp_no_cache();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        ggml_tensor * cur = inpL;
+
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm, NULL,
+                LLM_NORM_RMS, il);
+
+        {
+            ggml_tensor * Qcur;
+            ggml_tensor * Kcur;
+            ggml_tensor * Vcur;
+
+            Qcur = build_lora_mm(model.layers[il].wq, cur);
+            Kcur = build_lora_mm(model.layers[il].wk, cur);
+            Vcur = build_lora_mm(model.layers[il].wv, cur);
+
+            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+
+            Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, nullptr,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
+            cb(cur, "kqv_out", il);
+        }
+
+        if (il == n_layer - 1 && inp_out_ids) {
+            cur  = ggml_get_rows(ctx0,  cur, inp_out_ids);
+            inpL = ggml_get_rows(ctx0, inpL, inp_out_ids);
+        }
+
+        cur = ggml_add(ctx0, cur, inpL);
+
+        ggml_tensor * ffn_inp = cur;
+        cb(ffn_inp, "ffn_inp", il);
+
+        cur = build_norm(ffn_inp,
+                model.layers[il].ffn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "ffn_norm", il);
+
+        cur = build_ffn(cur,
+                model.layers[il].ffn_up, NULL, NULL,
+                model.layers[il].ffn_gate, NULL, NULL,
+                model.layers[il].ffn_down, NULL, NULL,
+                NULL, LLM_FFN_SILU, LLM_FFN_PAR, il);
+        cb(cur, "ffn_out", il);
+
+        cur = ggml_add(ctx0, cur, ffn_inp);
+
+        inpL = cur;
+    }
+    cur = inpL;
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_embd", -1);
+    res->t_embd = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp
index bef5b2ad351..ea75701c528 100644
--- a/src/models/exaone-moe.cpp
+++ b/src/models/exaone-moe.cpp
@@ -1,12 +1,11 @@
 #include "models.h"
 
-
 llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_k;
+    const int64_t n_embd_head = hparams.n_embd_head_k();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_v);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_v());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -100,7 +99,7 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_
                 model.layers[il].ffn_exp_probs_b,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, hparams.expert_weights_norm,
-                true, hparams.expert_weights_scale,
+                hparams.expert_weights_scale,
                 (llama_expert_gating_func_type) hparams.expert_gating_func,
                 il);
             cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/exaone.cpp b/src/models/exaone.cpp
index 62602b284de..d4eea58e2f1 100644
--- a/src/models/exaone.cpp
+++ b/src/models/exaone.cpp
@@ -4,10 +4,10 @@
 
 llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/exaone4.cpp b/src/models/exaone4.cpp
index 8b7e3dc06e5..755af3b747b 100644
--- a/src/models/exaone4.cpp
+++ b/src/models/exaone4.cpp
@@ -4,10 +4,10 @@
 template <bool iswa>
 llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_k;
+    const int64_t n_embd_head = hparams.n_embd_head_k();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_v);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_v());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/falcon-h1.cpp b/src/models/falcon-h1.cpp
index b641a094079..ff842d93a41 100644
--- a/src/models/falcon-h1.cpp
+++ b/src/models/falcon-h1.cpp
@@ -1,10 +1,8 @@
 #include "models.h"
 
-
-
 llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    llm_build_mamba_base(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/falcon.cpp b/src/models/falcon.cpp
index db1ccdb5008..9fcba508878 100644
--- a/src/models/falcon.cpp
+++ b/src/models/falcon.cpp
@@ -2,11 +2,11 @@
 
 
 llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/gemma-embedding.cpp b/src/models/gemma-embedding.cpp
index 944c198bf95..98110d45e3b 100644
--- a/src/models/gemma-embedding.cpp
+++ b/src/models/gemma-embedding.cpp
@@ -2,7 +2,7 @@
 
 llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_k;
+    const int64_t n_embd_head = hparams.n_embd_head_k();
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/gemma.cpp b/src/models/gemma.cpp
index 4893d9af4b8..1869efd389a 100644
--- a/src/models/gemma.cpp
+++ b/src/models/gemma.cpp
@@ -2,7 +2,7 @@
 
 
 llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/gemma2-iswa.cpp b/src/models/gemma2-iswa.cpp
index 7a9198193ac..3927ddd297b 100644
--- a/src/models/gemma2-iswa.cpp
+++ b/src/models/gemma2-iswa.cpp
@@ -1,7 +1,7 @@
 #include "models.h"
 
 llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_k;
+    const int64_t n_embd_head = hparams.n_embd_head_k();
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/gemma3.cpp b/src/models/gemma3.cpp
index dec3fc4b8bc..bbb4d9a81e8 100644
--- a/src/models/gemma3.cpp
+++ b/src/models/gemma3.cpp
@@ -2,7 +2,7 @@
 
 template <bool iswa>
 llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_k;
+    const int64_t n_embd_head = hparams.n_embd_head_k();
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/gemma3n-iswa.cpp b/src/models/gemma3n-iswa.cpp
index 7db6d3bf4ec..8ce2ae39c2f 100644
--- a/src/models/gemma3n-iswa.cpp
+++ b/src/models/gemma3n-iswa.cpp
@@ -3,7 +3,7 @@
 llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params),
     model(model),
-    n_embd_head(model.hparams.n_embd_head_k),
+    n_embd_head(model.hparams.n_embd_head_k()),
     n_embd_altup(model.hparams.n_embd_altup),
     n_altup(model.hparams.n_altup),
     i_altup_act(model.hparams.i_altup_act) {
diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp
index 003f70f7396..7938545ed8a 100644
--- a/src/models/glm4-moe.cpp
+++ b/src/models/glm4-moe.cpp
@@ -1,9 +1,9 @@
 #include "models.h"
 
 llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     int sections[4];
     std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
@@ -128,7 +128,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap
                     model.layers[il].ffn_exp_probs_b,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, hparams.expert_weights_norm,
-                    true, hparams.expert_weights_scale,
+                    hparams.expert_weights_scale,
                     (llama_expert_gating_func_type) hparams.expert_gating_func,
                     il);
             cb(routed_out, "ffn_moe_out", il);
diff --git a/src/models/glm4.cpp b/src/models/glm4.cpp
index 204aa3932af..b6ad8febed3 100644
--- a/src/models/glm4.cpp
+++ b/src/models/glm4.cpp
@@ -3,10 +3,10 @@
 
 
 llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     int sections[4];
     std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
@@ -29,7 +29,10 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
 
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
-    for (int il = 0; il < n_layer; ++il) {
+    // Only process up to last layer (skip final NextN layer)
+    // Final layer tensors are loaded but not processed in forward pass
+    const int n_transformer_layers = n_layer - hparams.nextn_predict_layers;
+    for (int il = 0; il < n_transformer_layers; ++il) {
         ggml_tensor * inpSA = inpL;
 
         // Pre-attention norm
@@ -100,7 +103,7 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
                     model.layers[il].wo, NULL,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
-        if (il == n_layer - 1 && inp_out_ids) {
+        if (il == n_transformer_layers - 1 && inp_out_ids) {
             cur   = ggml_get_rows(ctx0, cur, inp_out_ids);
             inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
         }
@@ -130,9 +133,13 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
             cur = build_norm(cur, model.layers[il].ffn_post_norm, NULL, LLM_NORM_RMS, il);
             cb(cur, "post_mlp_norm", il);
         }
-        // Add residual connection after post-MLP norm
-        inpL = ggml_add(ctx0, cur, ffn_inp);
-        cb(inpL, "l_out", il);
+        cur = ggml_add(ctx0, cur, ffn_inp);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
     }
     // Final norm
     cur = build_norm(inpL, model.output_norm, NULL, LLM_NORM_RMS, -1);
diff --git a/src/models/gpt2.cpp b/src/models/gpt2.cpp
index 60761c8e765..cb1238f2d34 100644
--- a/src/models/gpt2.cpp
+++ b/src/models/gpt2.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * pos;
diff --git a/src/models/gptneox.cpp b/src/models/gptneox.cpp
index 2151b14e939..1c8fe6c836d 100644
--- a/src/models/gptneox.cpp
+++ b/src/models/gptneox.cpp
@@ -2,10 +2,10 @@
 
 
 llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/granite-hybrid.cpp b/src/models/granite-hybrid.cpp
index f6ca4c17a21..9b54a38c386 100644
--- a/src/models/granite-hybrid.cpp
+++ b/src/models/granite-hybrid.cpp
@@ -1,10 +1,9 @@
 #include "models.h"
 
-
 llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    llm_build_mamba_base(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -160,7 +159,7 @@ ggml_tensor * llm_build_granite_hybrid::build_layer_ffn(ggml_tensor *       cur,
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/granite.cpp b/src/models/granite.cpp
index 18748e9c26c..7a7e1664c29 100644
--- a/src/models/granite.cpp
+++ b/src/models/granite.cpp
@@ -1,15 +1,14 @@
 #include "models.h"
 
-
 llm_build_granite::llm_build_granite(
     const llama_model & model,
     const llm_graph_params & params)
     : llm_graph_context(params) {
 
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -175,7 +174,7 @@ ggml_tensor * llm_build_granite::build_layer_ffn(
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/grok.cpp b/src/models/grok.cpp
index 3c54dfee636..580d63e36ae 100644
--- a/src/models/grok.cpp
+++ b/src/models/grok.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -99,7 +99,7 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_GELU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/grovemoe.cpp b/src/models/grovemoe.cpp
index 56b6db9a3d0..aa60d3e9388 100644
--- a/src/models/grovemoe.cpp
+++ b/src/models/grovemoe.cpp
@@ -1,14 +1,12 @@
 #include "models.h"
 
-
-
 llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t n_embd_head    = hparams.n_embd_head_v;
+    const int64_t n_embd_head    = hparams.n_embd_head_v();
     const int64_t n_chunk_expert = n_expert / hparams.n_group_experts;
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -90,7 +88,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il,
                 probs);
@@ -106,7 +104,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap
                     nullptr,
                     n_chunk_expert, n_expert_used > n_chunk_expert ? n_chunk_expert : n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il,
                     probs);
diff --git a/src/models/hunyuan-dense.cpp b/src/models/hunyuan-dense.cpp
index 7d5dcc7828b..6a51707c85b 100644
--- a/src/models/hunyuan-dense.cpp
+++ b/src/models/hunyuan-dense.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_hunyuan_dense::llm_build_hunyuan_dense(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/hunyuan-moe.cpp b/src/models/hunyuan-moe.cpp
index 77e39de5b8b..806c30b3667 100644
--- a/src/models/hunyuan-moe.cpp
+++ b/src/models/hunyuan-moe.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -119,8 +119,7 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll
                 n_expert, n_expert_used,
                 LLM_FFN_SILU,
                 true, // norm_topk_prob
-                false,
-                0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(cur_moe, "ffn_moe_out", il);
diff --git a/src/models/internlm2.cpp b/src/models/internlm2.cpp
index 387e8211270..441d250268e 100644
--- a/src/models/internlm2.cpp
+++ b/src/models/internlm2.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/jais.cpp b/src/models/jais.cpp
index 3e3376e6a62..135bf288ba1 100644
--- a/src/models/jais.cpp
+++ b/src/models/jais.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/jais2.cpp b/src/models/jais2.cpp
new file mode 100644
index 00000000000..2cfe484eb52
--- /dev/null
+++ b/src/models/jais2.cpp
@@ -0,0 +1,123 @@
+#include "models.h"
+
+// JAIS-2 model graph builder
+// Uses: LayerNorm (not RMSNorm), relu2 activation, separate Q/K/V, RoPE embeddings
+llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    // inp_pos - contains the positions
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    // KV input for attention
+    auto * inp_attn = build_attn_inp_kv();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        // Pre-attention LayerNorm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm,
+                model.layers[il].attn_norm_b,
+                LLM_NORM, il);
+        cb(cur, "attn_norm", il);
+
+        // Self-attention with separate Q, K, V projections
+        {
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
+            cb(Qcur, "Qcur", il);
+            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
+            cb(Qcur, "Qcur_bias", il);
+
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
+            cb(Kcur, "Kcur", il);
+            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
+            cb(Kcur, "Kcur_bias", il);
+
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
+            cb(Vcur, "Vcur", il);
+            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
+            cb(Vcur, "Vcur_bias", il);
+
+            // Reshape for attention
+            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+
+            // Apply RoPE
+            Qcur = ggml_rope_ext(
+                ctx0, Qcur, inp_pos, nullptr,
+                n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                ext_factor, attn_factor, beta_fast, beta_slow
+            );
+
+            Kcur = ggml_rope_ext(
+                ctx0, Kcur, inp_pos, nullptr,
+                n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                ext_factor, attn_factor, beta_fast, beta_slow
+            );
+
+            cb(Qcur, "Qcur_rope", il);
+            cb(Kcur, "Kcur_rope", il);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, model.layers[il].bo,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
+        }
+
+        if (il == n_layer - 1 && inp_out_ids) {
+            cur  = ggml_get_rows(ctx0,  cur, inp_out_ids);
+            inpL = ggml_get_rows(ctx0, inpL, inp_out_ids);
+        }
+
+        // Residual connection
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);
+        cb(ffn_inp, "ffn_inp", il);
+
+        // Pre-FFN LayerNorm
+        cur = build_norm(ffn_inp,
+                model.layers[il].ffn_norm,
+                model.layers[il].ffn_norm_b,
+                LLM_NORM, il);
+        cb(cur, "ffn_norm", il);
+
+        // FFN with relu2 activation (ReLU squared) - no gate projection
+        // up -> relu2 -> down
+        cur = build_ffn(cur,
+                model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
+                NULL, NULL, NULL,  // no gate
+                model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
+                NULL,
+                LLM_FFN_RELU_SQR, LLM_FFN_SEQ, il);
+        cb(cur, "ffn_out", il);
+
+        // Residual connection
+        inpL = ggml_add(ctx0, cur, ffn_inp);
+        inpL = build_cvec(inpL, il);
+        cb(inpL, "l_out", il);
+    }
+
+    // Final LayerNorm
+    cur = build_norm(inpL,
+            model.output_norm,
+            model.output_norm_b,
+            LLM_NORM, -1);
+    cb(cur, "result_norm", -1);
+
+    res->t_embd = cur;
+
+    // Output projection
+    cur = build_lora_mm(model.output, cur);
+    cb(cur, "result_output", -1);
+
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/jamba.cpp b/src/models/jamba.cpp
index a0187772ccb..c0c89de187a 100644
--- a/src/models/jamba.cpp
+++ b/src/models/jamba.cpp
@@ -1,7 +1,7 @@
 #include "models.h"
 
-llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_params & params) : llm_graph_context_mamba(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -76,7 +76,7 @@ llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_para
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, false,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
             cb(cur, "ffn_moe_out", il);
diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp
index 0f037d1a393..4d62f4e7159 100644
--- a/src/models/kimi-linear.cpp
+++ b/src/models/kimi-linear.cpp
@@ -1,7 +1,6 @@
 #include "models.h"
-#include "ggml.h"
 
-#define CHUNK_SIZE 64
+#include "llama-memory-recurrent.h"
 
 // Causal Conv1d function for Q,K,V
 // When qkv is 0, it is Q, 1 is K, 2 is V
@@ -41,8 +40,11 @@ static ggml_tensor * causal_conv1d(ggml_cgraph * gf, ggml_context * ctx0, ggml_t
         conv_x->nb[1], conv_x->nb[2], n_seq_tokens * conv_x->nb[0]);
     ggml_build_forward_expand(gf,
         ggml_cpy(ctx0, last_conv_x,
-            ggml_view_1d(ctx0, conv_states_all, conv_state_size * n_seqs,
-                (kv_head * n_embd_r_total + qkv * conv_state_size) * ggml_element_size(conv_states_all))));
+            ggml_view_3d(ctx0, conv_states_all,
+                d_conv - 1, d_inner, n_seqs,
+                (d_conv - 1) * ggml_element_size(conv_states_all),           // nb1: contiguous within one channel's conv taps
+                n_embd_r_total * ggml_element_size(conv_states_all),         // nb2: stride between sequences (skip over K,V states)
+                (kv_head * n_embd_r_total + qkv * conv_state_size) * ggml_element_size(conv_states_all))));  // offset to first seq's Q/K/V state
     // Reshape conv weight: GGUF [d_conv, 1, d_inner, 1] -> ggml_ssm_conv expects [d_conv, d_inner]
     // GGUF stores as [d_conv, 1, d_inner, 1] with memory layout w[conv_step + channel * d_conv]
     // vLLM stores as [d_inner, d_conv] with memory layout w[channel * d_conv + conv_step]
@@ -62,7 +64,7 @@ static ggml_tensor * causal_conv1d(ggml_cgraph * gf, ggml_context * ctx0, ggml_t
 }
 
 llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params), model(model) {
+    llm_build_delta_net_base(params), model(model) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
@@ -81,17 +83,6 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
     // Output ids for selecting which tokens to output
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
-    ggml_tensor * chunked_causal_mask =
-        ggml_tri(ctx0, ggml_fill_inplace(ctx0, ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, CHUNK_SIZE, CHUNK_SIZE), 1.0f),
-                    GGML_TRI_TYPE_LOWER);
-
-    ggml_tensor * chunked_identity = ggml_diag(ctx0, ggml_fill_inplace(ctx0, ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, CHUNK_SIZE), 1.0f));
-    ggml_tensor * chunked_diag_mask = ggml_add(ctx0, chunked_causal_mask, chunked_identity);
-
-    ggml_build_forward_expand(gf, chunked_causal_mask);
-    ggml_build_forward_expand(gf, chunked_identity);
-    ggml_build_forward_expand(gf, chunked_diag_mask);
-
     // Kimi dimension constants
     const int64_t n_head = hparams.n_head();
     const int64_t head_dim = hparams.n_embd_head_kda;
@@ -111,7 +102,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
     const int64_t kv_lora_rank = hparams.n_lora_kv;
     // qk_rope_head_dim = 64 (from Kimi config) which is hparams.n_rot
     // Confirmed from tensor shape: wkv_a_mqa [2304, 576] = [n_embd, kv_lora_rank + qk_rope_head_dim]
-    const int64_t n_embd_head_qk_rope = hparams.n_rot;  // config.qk_rope_head_dim
+    const int64_t n_embd_head_qk_rope = hparams.n_rot();  // config.qk_rope_head_dim
     const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;  // 192 - 64 = 128
     // Attention scale for MLA
     const float kq_scale_mla = 1.0f / sqrtf((float)n_embd_head_k_mla);
@@ -124,12 +115,9 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
         cur = build_norm(inpL, layer.attn_norm, NULL, LLM_NORM_RMS, il);
         cb(cur, "attn_norm", il);
 
-        // Check layer type by checking which tensors exist
-        // KDA layers have ssm_a_log tensor, MLA layers have wkv_a_mqa tensor
-        bool is_kda = (layer.ssm_a != nullptr);
-        bool is_mla = (layer.wkv_a_mqa != nullptr);
+        ggml_build_forward_expand(gf, cur);
 
-        if (is_kda) {
+        if (hparams.is_recurrent(il)) {
             // === KDA Layer (Kimi Delta Attention) with Recurrent State ===
             // Reference: vLLM kda.py
             const auto * mctx_cur = inp_rs->mctx;
@@ -157,27 +145,33 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
             g1 = ggml_mul(ctx0, g1, A);
             cb(g1, "kda_g1", il);
 
+            g1 = ggml_reshape_4d(ctx0, g1, head_dim, n_head, n_seq_tokens, n_seqs);
+
             // Compute beta (mixing coefficient)
             ggml_tensor * beta = ggml_mul_mat(ctx0, layer.ssm_beta, cur);
-            beta = ggml_reshape_4d(ctx0, beta, n_head, 1, n_seq_tokens, n_seqs);
+            beta = ggml_reshape_4d(ctx0, beta, 1, n_head, n_seq_tokens, n_seqs);
             cb(beta, "kda_beta", il);
 
+            beta = ggml_sigmoid(ctx0, beta);
+
             // Reshape for KDA recurrence
             // {n_embd, n_tokens} -> {n_embd, n_seq_tokens, n_seqs}
             cur = ggml_reshape_3d(ctx0, cur, cur->ne[0], n_seq_tokens, n_seqs);
 
-            g1 = ggml_reshape_4d(ctx0, g1, head_dim, n_head, n_seq_tokens, n_seqs);
-
             // Get SSM state and compute KDA recurrence using ggml_kda_scan
             ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il);
             ggml_tensor * state = build_rs(inp_rs, ssm_states_all, hparams.n_embd_s(), n_seqs);
             state = ggml_reshape_4d(ctx0, state, head_dim, head_dim, n_head, n_seqs);
-            // Choose between build_kda_chunking and build_kda_recurrent based on n_tokens
-            std::pair<ggml_tensor *, ggml_tensor *> attn_out = n_seq_tokens == 1 ?
-                build_kda_autoregressive(Qcur, Kcur, Vcur, g1, beta, state, il) :
-                build_kda_chunking(Qcur, Kcur, Vcur, g1, beta, state, chunked_causal_mask, chunked_identity, chunked_diag_mask, il);
 
-            ggml_tensor * output = attn_out.first;
+            const float eps_norm = hparams.f_norm_rms_eps;
+
+            Qcur = ggml_l2_norm(ctx0, Qcur, eps_norm);
+            Kcur = ggml_l2_norm(ctx0, Kcur, eps_norm);
+
+            // Choose between build_delta_net_chunking and build_delta_net_recurrent based on n_tokens
+            auto attn_out = build_delta_net(Qcur, Kcur, Vcur, g1, beta, state, il);
+
+            ggml_tensor * output = ggml_cont(ctx0, attn_out.first);
             ggml_tensor * new_state = attn_out.second;
             cb(output, "attn_output", il);
             cb(new_state, "new_state", il);
@@ -209,7 +203,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
             cur = ggml_mul_mat(ctx0, layer.wo, gated);
             cb(cur, "kda_out", il);
 
-        } else if (is_mla) {
+        } else {
             // === MLA Layer (Multi-head Latent Attention) without KV Cache ===
             // Reference: vLLM mla.py
             // Step 1: Q projection and reshape
@@ -308,9 +302,6 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
                 cur = build_attn(inp_attn_kv, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il);
                 cb(cur, "mla_out", il);
             }
-        } else {
-            // Unknown layer type - this should not happen
-            GGML_ABORT("Kimi layer is neither KDA nor MLA - missing required tensors");
         }
 
         // On last layer, select only the output tokens
@@ -347,7 +338,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
                 hparams.n_expert,
                 hparams.n_expert_used,
                 LLM_FFN_SILU, true,
-                true, hparams.expert_weights_scale,
+                hparams.expert_weights_scale,
                 (llama_expert_gating_func_type) hparams.expert_gating_func,
                 il);
             cb(moe_out, "ffn_moe_out", il);
@@ -388,385 +379,3 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
 
     ggml_build_forward_expand(gf, cur);
 }
-
-/*
-    This is a ggml implementation of the naive_chunk_kda function of
-    https://github.com/fla-org/flash-linear-attention/blob/main/fla/ops/kda/naive.py
-*/
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_kimi_linear::build_kda_chunking(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * gk,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        ggml_tensor * causal_mask,
-        ggml_tensor * identity,
-        ggml_tensor * diag_mask,
-        int           il) {
-    GGML_ASSERT(ggml_is_contiguous(state));
-
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(gk->ne[0] == S_v && gk->ne[1] == H_v && gk->ne[2] == n_tokens && gk->ne[3] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v && state->ne[2] == H_v && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    // TODO: can this ever be false?
-    const bool use_qk_l2norm = true;
-
-    if (use_qk_l2norm) {
-        const float eps_norm = hparams.f_norm_rms_eps;
-
-        q = ggml_l2_norm(ctx0, q, eps_norm);
-        k = ggml_l2_norm(ctx0, k, eps_norm);
-    }
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(gk, "gk_in", il);
-
-    q = ggml_cont_4d(ctx0, ggml_permute(ctx0, q, 0, 2, 1, 3), S_k, n_tokens, H_k, n_seqs);
-    k = ggml_cont_4d(ctx0, ggml_permute(ctx0, k, 0, 2, 1, 3), S_k, n_tokens, H_k, n_seqs);
-    v = ggml_cont_4d(ctx0, ggml_permute(ctx0, v, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    gk = ggml_cont_4d(ctx0, ggml_permute(ctx0, gk, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-
-    beta  = ggml_cont(ctx0, ggml_permute(ctx0, beta, 2, 0, 1, 3));
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    cb(q, "q_perm", il);
-    cb(k, "k_perm", il);
-    cb(v, "v_perm", il);
-    cb(beta, "beta_perm", il);
-    cb(gk, "gk_perm", il);
-    cb(state, "state_in", il);
-
-    GGML_ASSERT(q->ne[1] == n_tokens && q->ne[0] == S_k && q->ne[2] == H_k && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[1] == n_tokens && k->ne[0] == S_k && k->ne[2] == H_k && k->ne[3] == n_seqs);
-    GGML_ASSERT(v->ne[1] == n_tokens && v->ne[0] == S_v && v->ne[2] == H_k && v->ne[3] == n_seqs);
-    GGML_ASSERT(beta->ne[1] == n_tokens && beta->ne[2] == H_k && beta->ne[0] == 1 && beta->ne[3] == n_seqs);
-
-    // Do padding
-    const int64_t chunk_size = CHUNK_SIZE;
-
-    const int64_t pad = (chunk_size - n_tokens % chunk_size) % chunk_size;
-    const int64_t n_chunks = (n_tokens + pad) / chunk_size;
-
-    q = ggml_pad(ctx0, q, 0, pad, 0, 0);
-    k = ggml_pad(ctx0, k, 0, pad, 0, 0);
-    v = ggml_pad(ctx0, v, 0, pad, 0, 0);
-    gk = ggml_pad(ctx0, gk, 0, pad, 0, 0);
-    beta = ggml_pad(ctx0, beta, 0, pad, 0, 0);
-
-    cb(q, "q_pad", il);
-    cb(k, "k_pad", il);
-    cb(v, "v_pad", il);
-    cb(beta, "beta_pad", il);
-    cb(gk, "gk_pad", il);
-
-    ggml_tensor * v_beta = ggml_mul(ctx0, v, beta);
-    ggml_tensor * k_beta = ggml_mul(ctx0, k, beta);
-
-    cb(v_beta, "v_beta", il);
-    cb(k_beta, "k_beta", il);
-
-    const int64_t HB = H_k * n_seqs;
-
-    q      = ggml_cont_4d(ctx0, q,      S_k, chunk_size, n_chunks, HB);
-    k      = ggml_cont_4d(ctx0, k,      S_k, chunk_size, n_chunks, HB);
-    k_beta = ggml_cont_4d(ctx0, k_beta, S_k, chunk_size, n_chunks, HB);
-    v      = ggml_cont_4d(ctx0, v,      S_v, chunk_size, n_chunks, HB);
-    v_beta = ggml_cont_4d(ctx0, v_beta, S_v, chunk_size, n_chunks, HB);
-
-    gk    = ggml_cont_4d(ctx0, gk, S_k, chunk_size, n_chunks, HB);
-    beta = ggml_cont_4d(ctx0, beta, 1, chunk_size, n_chunks, HB);
-
-    // switch for cumsum
-    gk = ggml_cont_4d(ctx0, ggml_permute(ctx0, gk, 1, 0, 2, 3), chunk_size, S_k, n_chunks, HB);
-    cb(gk, "gk", il);
-    ggml_tensor * gk_cumsum = ggml_cumsum(ctx0, gk);
-    cb(gk_cumsum, "gk_cumsum", il);
-
-/*
-    Compute Akk and Aqk loop together
-    Akk loop:
-    for i in range(BT):
-        k_i = k[..., i, :] # k_i [B,H,NT,S]
-        g_i = g[..., i:i+1, :] # g_i [B,H,NT,1,S]
-        A[..., i] = torch.einsum('... c d, ... d -> ... c', k * (g - g_i).exp(), k_i)
-    Aqk loop:
-    for j in range(BT):
-        k_j = k[:, :, i, j]
-        g_j = g[:, :, i, j:j+1, :]
-        A[..., j] = torch.einsum('... c d, ... d -> ... c', q_i * (g_i - g_j).exp(), k_j)
-*/
-    const int64_t CHB = n_chunks * H_k * n_seqs;
-    ggml_tensor * gkcs_i = ggml_reshape_4d(ctx0, gk_cumsum, chunk_size, 1, S_k, CHB);  // [chunk_size, 1, S_k, CHB]
-    ggml_tensor * gkcs_j = ggml_reshape_4d(ctx0, gkcs_i, 1, chunk_size, S_k, CHB);  // [1, chunk_size, S_k, CHB]
-
-    ggml_tensor * gkcs_j_bc = ggml_repeat_4d(ctx0, gkcs_j, chunk_size, chunk_size, S_k, CHB);  // [1, chunk_size, S_k, CHB] -> [chunk_size, chunk_size, S_k, CHB]
-    // decay_mask [chunk_size,chunk_size,S_k,CHB]
-    ggml_tensor * decay_mask = ggml_sub(ctx0, gkcs_j_bc, gkcs_i);
-    cb(decay_mask, "decay_mask", il);
-
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-    cb(decay_mask, "decay_masked", il);
-    decay_mask = ggml_exp(ctx0, decay_mask);
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-
-    // decay_mask [S_k,BT_j,BT_i,CHB] *Note* second and third chunk_sizes are switched
-    decay_mask = ggml_cont_4d(ctx0, ggml_permute(ctx0, decay_mask, 2, 1, 0, 3), S_k, chunk_size, chunk_size, CHB);
-
-    ggml_tensor * k_i = ggml_reshape_4d(ctx0, k, S_k, chunk_size, 1, CHB);
-    ggml_tensor * k_j = ggml_reshape_4d(ctx0, k, S_k, 1, chunk_size, CHB);
-    ggml_tensor * q_i = ggml_reshape_4d(ctx0, q, S_k, chunk_size, 1, CHB);
-
-    ggml_tensor * decay_k_i = ggml_mul(ctx0, decay_mask, k_i);
-    ggml_tensor * decay_q_i = ggml_mul(ctx0, decay_mask, q_i);
-
-    // decay_k_i [S.BT,BT,CHB] @ k_j [S,1,BT,CHB] = Akk [BT,1,BT,CHB]
-    ggml_tensor * Akk = ggml_mul_mat(ctx0, decay_k_i, k_j);
-    ggml_tensor * Aqk = ggml_mul_mat(ctx0, decay_q_i, k_j);
-    Akk = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_4d(ctx0, Akk, chunk_size, chunk_size, n_chunks, HB)));
-    Aqk = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_4d(ctx0, Aqk, chunk_size, chunk_size, n_chunks, HB)));
-    cb(Akk, "Akk", il);
-    cb(Aqk, "Aqk", il);
-
-    Akk = ggml_mul(ctx0, Akk, beta);
-    Akk = ggml_neg(ctx0, ggml_mul(ctx0, Akk, causal_mask));
-    cb(Akk, "attn_pre_solve", il);
-
-    Aqk = ggml_mul(ctx0, Aqk, diag_mask);
-    Aqk = ggml_scale(ctx0, Aqk, scale); // scale q
-    cb(Aqk, "Aqk_masked", il);
-
-    // for i in range(1, chunk_size):
-    //          row = attn[..., i, :i].clone()
-    //          sub = attn[..., :i, :i].clone()
-    //          attn[..., i, :i] = row + (row.unsqueeze(-1) * sub).sum(-2)
-    // attn = attn + torch.eye(chunk_size, dtype=attn.dtype, device=attn.device)
-    //
-    // We reduce this to a linear triangular solve: AX = B, where B = attn, A = I - tril(A)
-    ggml_tensor * attn_lower = ggml_mul(ctx0, Akk, causal_mask);
-    ggml_tensor * lhs        = ggml_sub(ctx0, ggml_repeat(ctx0, identity, attn_lower), attn_lower);
-
-    ggml_tensor * lin_solve  = ggml_solve_tri(ctx0, lhs, Akk, true, true, false);
-    Akk                      = ggml_mul(ctx0, lin_solve, causal_mask);
-    Akk                      = ggml_add(ctx0, Akk, identity);
-
-    cb(Akk, "attn_solved", il);
-
-    // switch back for downstream
-    gk_cumsum = ggml_cont_4d(ctx0, ggml_permute(ctx0, gk_cumsum, 1, 0, 2, 3), S_k, chunk_size, n_chunks, HB);
-    ggml_tensor * gkexp      = ggml_exp(ctx0, gk_cumsum);
-    cb(gk_cumsum, "gk_cumsum", il);
-
-    // u = (A*beta[..., None, :]) @ v  aka U_[t]
-    ggml_tensor * vb = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, v_beta)), Akk);
-
-    ggml_tensor * kbeta_gkexp = ggml_mul(ctx0, k_beta, gkexp);
-    cb(kbeta_gkexp, "kbeta_gkexp", il);
-
-    ggml_tensor * k_cumdecay = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, kbeta_gkexp)), Akk);
-    cb(k_cumdecay, "k_cumdecay", il);
-
-    ggml_tensor * core_attn_out = nullptr;
-    ggml_tensor * new_state = ggml_dup(ctx0, state);
-
-    cb(new_state, "new_state", il);
-
-    for (int64_t chunk = 0; chunk < n_chunks; chunk++) {
-// extract one chunk worth of data
-        auto chunkify = [=](ggml_tensor * t) {
-                    return ggml_cont(ctx0, ggml_view_4d(ctx0, t, t->ne[0], chunk_size, 1, t->ne[3],
-                t->nb[1], t->nb[2], t->nb[3], t->nb[2] * chunk));
-        };
-        auto chunkify_A = [=](ggml_tensor * t) {
-                    return ggml_cont(ctx0, ggml_view_4d(ctx0, t, chunk_size, chunk_size, 1, t->ne[3],
-                t->nb[1], t->nb[2], t->nb[3], t->nb[2] * chunk));
-        };
-
-
-// k [S,BT,NT,H*B] => k_chunk [S,BT,1,H*B]
-        ggml_tensor * k_chunk = chunkify(k);
-        ggml_tensor * q_chunk = chunkify(q);
-        ggml_tensor * vb_chunk = chunkify(vb);
-
-// gk_cumsum [S,BT,NT,H*B] => gk_cs_chunk [S,BT,1,H*B]
-        ggml_tensor * gk_cs_chunk = chunkify(gk_cumsum);
-        ggml_tensor * k_cumdecay_chunk = chunkify(k_cumdecay);
-        ggml_tensor * gkexp_chunk = ggml_exp(ctx0, gk_cs_chunk);
-        ggml_tensor * Aqk_chunk = chunkify_A(Aqk);
-
-        ggml_tensor * state_t = ggml_cont_4d(ctx0, ggml_permute(ctx0, new_state, 1, 0, 2, 3), S_v, S_v, 1, H_v * n_seqs);
-
-        // new_state [S,S,1,H*B] k_cumdecay_chunk [S,BT,1,H*B]
-        // v_prime = (k_cumdecay[:, :, i]) @ last_recurrent_state or W_[t] @ S_[t]
-        ggml_tensor * v_prime = ggml_mul_mat(ctx0, state_t, k_cumdecay_chunk);
-
-        // v_new = v_i - v_prime or U_[t] - W_[t]*S_[t]
-        ggml_tensor * v_new = ggml_sub(ctx0, ggml_repeat(ctx0, vb_chunk, v_prime), v_prime);
-        ggml_tensor * v_new_t = ggml_cont(ctx0, ggml_transpose(ctx0, v_new));
-
-        // q_chunk [S,BT,1,H*B] gkexp_chunk [S,BT,1,H*B]
-        // attn_inter = (q_i * g[:, :, i, :, None].exp()) @ last_recurrent_state
-        // or Gamma_[t]*Q_]t] @ S
-        ggml_tensor * q_gk_exp   = ggml_mul(ctx0, q_chunk, gkexp_chunk);
-        ggml_tensor * attn_inter = ggml_mul_mat(ctx0, state_t, q_gk_exp);
-        attn_inter = ggml_scale(ctx0, attn_inter, scale); // scale q
-
-        // v_new_t [S,BT,1,H*B] Aqk [BT,BT,1,H*B]
-        // core_attn_out[:, :, i] = attn_inter + attn @ v_new or A' @ (U_[t] - W_[t]*S_[t])
-        ggml_tensor * v_attn = ggml_mul_mat(ctx0, v_new_t, Aqk_chunk);
-
-        // o[:, :, i] = (q_i * g_i.exp()) @ S + A @ v_i
-        ggml_tensor * core_attn_out_chunk = ggml_add(ctx0, attn_inter, v_attn);
-
-        core_attn_out = core_attn_out == nullptr ? core_attn_out_chunk : ggml_concat(ctx0, core_attn_out, core_attn_out_chunk, 1);
-
-        ggml_tensor * gk_cum_last =
-            ggml_cont(ctx0, ggml_view_4d(ctx0, gk_cs_chunk, gk_cs_chunk->ne[0], 1, gk_cs_chunk->ne[2], gk_cs_chunk->ne[3],
-                                        gk_cs_chunk->nb[1], gk_cs_chunk->nb[2], gk_cs_chunk->nb[3],
-                                        gk_cs_chunk->nb[1] * (gk_cs_chunk->ne[1] - 1)));
-
-        ggml_tensor * gkexp_last = ggml_exp(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, gk_cum_last)));
-
-        ggml_tensor * gk_diff = ggml_neg(ctx0, ggml_sub(ctx0, gk_cs_chunk, gk_cum_last));
-
-        ggml_tensor * gk_diff_exp = ggml_exp(ctx0, gk_diff);
-
-        ggml_tensor * key_gkdiff = ggml_mul(ctx0, k_chunk, gk_diff_exp);
-
-        // rearrange((g_i[:,:,-1:] - g_i).exp()*k_i, 'b h c k -> b h k c') @ (U_[t] - W_[t] @ S)
-        ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, v_new_t, ggml_cont(ctx0, ggml_transpose(ctx0, key_gkdiff)));
-
-        new_state = ggml_add(ctx0,
-            ggml_mul(ctx0, new_state, ggml_reshape_4d(ctx0, gkexp_last, gkexp_last->ne[0], gkexp_last->ne[1], H_v, n_seqs)),
-            ggml_reshape_4d(ctx0, kgdmulvnew, kgdmulvnew->ne[0], kgdmulvnew->ne[1], H_v, n_seqs));
-    }
-
-    core_attn_out = ggml_cont_4d(ctx0, core_attn_out, S_v, chunk_size * n_chunks, H_v, n_seqs);
-
-    // truncate padded tokens
-    ggml_tensor * output_tokens = ggml_view_4d(ctx0, core_attn_out,
-            S_v, n_tokens, H_v, n_seqs,
-            ggml_row_size(core_attn_out->type, S_v),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks * H_v), 0);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-    // permute back to (S_v, H_v, n_tokens, n_seqs)
-    output_tokens = ggml_permute(ctx0, output_tokens, 0, 2, 1, 3);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-
-    cb(new_state, "output_state", il);
-
-    return {output_tokens, new_state};
-}
-
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_kimi_linear::build_kda_autoregressive(
-    ggml_tensor * q,
-    ggml_tensor * k,
-    ggml_tensor * v,
-    ggml_tensor * gk,
-    ggml_tensor * beta,
-    ggml_tensor * state,
-    int il) {
-    GGML_ASSERT(ggml_is_contiguous(v));
-    GGML_ASSERT(ggml_is_contiguous(gk));
-
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(n_tokens == 1);
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(gk->ne[0] == S_k && gk->ne[1] == H_k && gk->ne[2] == n_tokens && gk->ne[3] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_k && state->ne[2] == H_v && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q    = ggml_scale(ctx0, q, scale);
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(gk, "gk_in", il);
-
-// g [H,1,B,1] g_t [1,H,B,1] => [1,1,H,B]
-// gk [S,H,1,B] => [S,1,H,B] gk_t [1,S,H,B]
-// beta [H,1,1,B] beta_t [1,H,1,B] => [1,1,H,B]
-    gk = ggml_reshape_4d(ctx0, gk, S_k, 1, H_k, n_seqs);
-    ggml_tensor * gk_t = ggml_cont(ctx0, ggml_transpose(ctx0, gk));
-    ggml_tensor * beta_t = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, beta), 1, 1, H_k, n_seqs);
-
-    // Apply exponential to gk_t
-    gk_t = ggml_exp(ctx0, gk_t);
-    // Apply the gated delta rule for the single timestep
-    // last_recurrent_state = last_recurrent_state * gk_t
-    // S = S * g_i[..., None].exp()
-    state = ggml_mul(ctx0, state, gk_t);
-
-    ggml_tensor * state_t = ggml_cont(ctx0, ggml_transpose(ctx0, state));
-
-// state [S,S,H,B] k [S,1,H,B] k_state [S_v,1,H,B]
-    k = ggml_reshape_4d(ctx0, k, S_k, 1, H_k, n_seqs);
-    ggml_tensor * k_state = ggml_mul_mat(ctx0, state_t, k);
-
-    // v_i - (k_i[..., None] * S).sum(-2)
-    v = ggml_reshape_4d(ctx0, v, S_v, 1, H_v, n_seqs);
-    ggml_tensor * v_diff = ggml_sub(ctx0, v, k_state);
-
-    // b_i[..., None] * k_i
-    ggml_tensor * k_beta = ggml_mul(ctx0, k, beta_t);
-
-    // S = S + torch.einsum('b h k, b h v -> b h k v', b_i[..., None] * k_i, v_i - (k_i[..., None] * S).sum(-2))
-    // v_diff_t [1,S_v,H,B] k_beta_t [1,S_k,H,B] state [S_v,S_k,H,B]
-    state = ggml_add(ctx0, state, ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, v_diff)), ggml_cont(ctx0, ggml_transpose(ctx0, k_beta))));
-
-    q = ggml_reshape_4d(ctx0, q, S_k, 1, H_k, n_seqs);
-    state_t = ggml_cont(ctx0, ggml_transpose(ctx0, state));
-    ggml_tensor * core_attn_out = ggml_mul_mat(ctx0, state_t, q);
-    // core_attn_out should be [S_v, 1, H_v, n_seqs] after this
-    cb(core_attn_out, "output_tokens", il);
-    cb(state, "new_state", il);
-
-    return {core_attn_out, state};
-}
-
diff --git a/src/models/lfm2.cpp b/src/models/lfm2.cpp
index 7f805d78795..dfa322166b1 100644
--- a/src/models/lfm2.cpp
+++ b/src/models/lfm2.cpp
@@ -1,18 +1,155 @@
 #include "models.h"
 
+#include "../llama-memory-hybrid-iswa.h"
 #include "../llama-memory-hybrid.h"
 
-
-llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context(params),
-    model(model) {
+template <bool iswa>
+llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_params & params) :
+    llm_graph_context(params) {
+    using inp_hybrid_type = std::conditional_t<iswa, llm_graph_input_mem_hybrid_iswa,  llm_graph_input_mem_hybrid>;
+    using inp_attn_type   = std::conditional_t<iswa, llm_graph_input_attn_kv_iswa,     llm_graph_input_attn_kv>;
+    using mem_hybrid_ctx  = std::conditional_t<iswa, llama_memory_hybrid_iswa_context, llama_memory_hybrid_context>;
+
+    // lambda helpers for readability
+    auto build_dense_feed_forward = [&model, this](ggml_tensor * cur, int il) -> ggml_tensor * {
+        GGML_ASSERT(!model.layers[il].ffn_up_b);
+        GGML_ASSERT(!model.layers[il].ffn_gate_b);
+        GGML_ASSERT(!model.layers[il].ffn_down_b);
+        return build_ffn(cur,
+            model.layers[il].ffn_up, NULL, NULL,
+            model.layers[il].ffn_gate, NULL, NULL,
+            model.layers[il].ffn_down, NULL, NULL,
+            NULL, LLM_FFN_SILU, LLM_FFN_PAR, il);
+    };
+    auto build_moe_feed_forward = [&model, this](ggml_tensor * cur, int il) -> ggml_tensor * {
+        return build_moe_ffn(cur,
+                model.layers[il].ffn_gate_inp,
+                model.layers[il].ffn_up_exps,
+                model.layers[il].ffn_gate_exps,
+                model.layers[il].ffn_down_exps,
+                model.layers[il].ffn_exp_probs_b,
+                n_expert, n_expert_used,
+                LLM_FFN_SILU, true,
+                hparams.expert_weights_scale,
+                static_cast<llama_expert_gating_func_type>(hparams.expert_gating_func),
+                il);
+    };
+    auto build_attn_block = [&model, this](ggml_tensor *   cur,
+                                           ggml_tensor *   inp_pos,
+                                           inp_attn_type * inp_attn,
+                                           int             il) -> ggml_tensor * {
+        GGML_ASSERT(hparams.n_embd_v_gqa(il) == hparams.n_embd_k_gqa(il));
+        const auto n_embd_head = hparams.n_embd_head_v();
+        const auto n_head_kv   = hparams.n_head_kv(il);
+
+        auto * q = build_lora_mm(model.layers[il].wq, cur);
+        cb(q, "model.layers.{}.self_attn.q_proj", il);
+        auto * k = build_lora_mm(model.layers[il].wk, cur);
+        cb(k, "model.layers.{}.self_attn.k_proj", il);
+        auto * v = build_lora_mm(model.layers[il].wv, cur);
+        cb(v, "model.layers.{}.self_attn.v_proj", il);
+
+        q = ggml_reshape_3d(ctx0, q, n_embd_head, n_head, n_tokens);
+        k = ggml_reshape_3d(ctx0, k, n_embd_head, n_head_kv, n_tokens);
+        v = ggml_reshape_3d(ctx0, v, n_embd_head, n_head_kv, n_tokens);
+
+        // qk norm
+        q = build_norm(q, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
+        cb(q, "model.layers.{}.self_attn.q_layernorm", il);
+        k = build_norm(k, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
+        cb(k, "model.layers.{}.self_attn.k_layernorm", il);
+
+        // RoPE
+        q = ggml_rope_ext(ctx0, q, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, ext_factor,
+                          attn_factor, beta_fast, beta_slow);
+        k = ggml_rope_ext(ctx0, k, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, ext_factor,
+                          attn_factor, beta_fast, beta_slow);
+
+        cur = build_attn(inp_attn,
+                model.layers[il].wo, NULL,
+                q, k, v, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
+
+        cb(cur, "model.layers.{}.self_attn.out_proj", il);
+
+        return cur;
+    };
+    auto build_shortconv_block = [&model, this](ggml_tensor *        cur,
+                                                llm_graph_input_rs * inp_recr,
+                                                int                  il) -> ggml_tensor * {
+        const auto * mctx_cur = static_cast<const mem_hybrid_ctx *>(mctx)->get_recr();
+        const uint32_t kv_head      = mctx_cur->get_head();
+        const int64_t  n_seq_tokens = ubatch.n_seq_tokens;
+        const int64_t  n_seqs       = ubatch.n_seqs;
+        GGML_ASSERT(n_seqs != 0);
+        GGML_ASSERT(ubatch.equal_seqs());
+        GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs);
+
+        GGML_ASSERT(hparams.n_shortconv_l_cache > 1);
+        const uint32_t d_conv = hparams.n_shortconv_l_cache - 1;
+
+        // {n_embd, n_tokens} => {n_embd, n_seq_tokens, n_seqs}
+        cur = ggml_reshape_3d(ctx0, cur, cur->ne[0], n_seq_tokens, n_seqs);
+
+        auto * bcx = build_lora_mm(model.layers[il].shortconv.in_proj, cur);
+        cb(bcx, "model.layers.{}.conv.in_proj", il);
+
+        constexpr auto n_chunks = 3;
+        GGML_ASSERT(bcx->ne[0] % n_chunks == 0);
+        const auto chunk_size = bcx->ne[0] / n_chunks;
+        auto *     b          = ggml_view_3d(ctx0, bcx, chunk_size, bcx->ne[1], bcx->ne[2], bcx->nb[1], bcx->nb[2],
+                                             0 * chunk_size * ggml_element_size(bcx));
+        auto *     c          = ggml_view_3d(ctx0, bcx, chunk_size, bcx->ne[1], bcx->ne[2], bcx->nb[1], bcx->nb[2],
+                                             1 * chunk_size * ggml_element_size(bcx));
+        auto *     x          = ggml_view_3d(ctx0, bcx, chunk_size, bcx->ne[1], bcx->ne[2], bcx->nb[1], bcx->nb[2],
+                                             2 * chunk_size * ggml_element_size(bcx));
+
+        auto * bx = ggml_transpose(ctx0, ggml_mul(ctx0, b, x));
+
+        // read conv state
+        auto * conv_state = mctx_cur->get_r_l(il);
+        auto * conv_rs    = build_rs(inp_recr, conv_state, hparams.n_embd_r(), n_seqs);
+        auto * conv       = ggml_reshape_3d(ctx0, conv_rs, d_conv, hparams.n_embd, n_seqs);
+
+        bx = ggml_concat(ctx0, conv, bx, 0);
+        GGML_ASSERT(bx->ne[0] > conv->ne[0]);
+
+        // last d_conv columns is a new conv state
+        auto * new_conv = ggml_view_3d(ctx0, bx, conv->ne[0], bx->ne[1], bx->ne[2], bx->nb[1], bx->nb[2],
+                                       (bx->ne[0] - conv->ne[0]) * ggml_element_size(bx));
+        GGML_ASSERT(ggml_are_same_shape(conv, new_conv));
+
+        // write new conv conv state
+        ggml_build_forward_expand(gf, ggml_cpy(ctx0, new_conv,
+                                               ggml_view_1d(ctx0, conv_state, ggml_nelements(new_conv),
+                                                            kv_head * d_conv * n_embd * ggml_element_size(new_conv))));
+
+        auto * conv_kernel = model.layers[il].shortconv.conv;
+        auto * conv_out    = ggml_ssm_conv(ctx0, bx, conv_kernel);
+        cb(conv_out, "model.layers.{}.conv.conv", il);
+
+        auto * y = ggml_mul(ctx0, c, conv_out);
+        y        = build_lora_mm(model.layers[il].shortconv.out_proj, y);
+        cb(y, "model.layers.{}.conv.out_proj", il);
+        // {n_embd, n_seq_tokens, n_seqs} => {n_embd, n_tokens}
+        y = ggml_reshape_2d(ctx0, y, y->ne[0], n_seq_tokens * n_seqs);
+
+        return y;
+    };
+
+    // actual graph construction starts here
     ggml_tensor * cur = build_inp_embd(model.tok_embd);
     cb(cur, "model.embed_tokens", -1);
 
     ggml_build_forward_expand(gf, cur);
 
+    inp_hybrid_type * inp_hybrid = nullptr;
+    if constexpr (iswa) {
+        inp_hybrid = build_inp_mem_hybrid_iswa();
+    } else {
+        inp_hybrid = build_inp_mem_hybrid();
+    }
+
     ggml_tensor * inp_pos     = build_inp_pos();
-    auto *        inp_hybrid  = build_inp_mem_hybrid();
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
     for (int il = 0; il < n_layer; ++il) {
@@ -54,122 +191,6 @@ llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_params
     ggml_build_forward_expand(gf, cur);
 }
 
-ggml_tensor * llm_build_lfm2::build_moe_feed_forward(ggml_tensor * cur, int il) const {
-    return build_moe_ffn(cur,
-                        model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps,
-                        model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps,
-                        model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, false, 0.0,
-                        static_cast<llama_expert_gating_func_type>(hparams.expert_gating_func), il);
-}
-
-ggml_tensor * llm_build_lfm2::build_dense_feed_forward(ggml_tensor * cur, int il) const {
-    GGML_ASSERT(!model.layers[il].ffn_up_b);
-    GGML_ASSERT(!model.layers[il].ffn_gate_b);
-    GGML_ASSERT(!model.layers[il].ffn_down_b);
-    return build_ffn(cur,
-        model.layers[il].ffn_up, NULL, NULL,
-        model.layers[il].ffn_gate, NULL, NULL,
-        model.layers[il].ffn_down, NULL, NULL,
-        NULL, LLM_FFN_SILU, LLM_FFN_PAR, il);
-}
-
-ggml_tensor * llm_build_lfm2::build_attn_block(ggml_tensor *             cur,
-                                               ggml_tensor *             inp_pos,
-                                               llm_graph_input_attn_kv * inp_attn,
-                                               int                       il) const {
-    GGML_ASSERT(hparams.n_embd_v_gqa(il) == hparams.n_embd_k_gqa(il));
-    const auto n_embd_head = hparams.n_embd_head_v;
-    const auto n_head_kv   = hparams.n_head_kv(il);
-
-    auto * q = build_lora_mm(model.layers[il].wq, cur);
-    cb(q, "model.layers.{}.self_attn.q_proj", il);
-    auto * k = build_lora_mm(model.layers[il].wk, cur);
-    cb(k, "model.layers.{}.self_attn.k_proj", il);
-    auto * v = build_lora_mm(model.layers[il].wv, cur);
-    cb(v, "model.layers.{}.self_attn.v_proj", il);
-
-    q = ggml_reshape_3d(ctx0, q, n_embd_head, n_head, n_tokens);
-    k = ggml_reshape_3d(ctx0, k, n_embd_head, n_head_kv, n_tokens);
-    v = ggml_reshape_3d(ctx0, v, n_embd_head, n_head_kv, n_tokens);
-
-    // qk norm
-    q = build_norm(q, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
-    cb(q, "model.layers.{}.self_attn.q_layernorm", il);
-    k = build_norm(k, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
-    cb(k, "model.layers.{}.self_attn.k_layernorm", il);
-
-    // RoPE
-    q = ggml_rope_ext(ctx0, q, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, ext_factor,
-                      attn_factor, beta_fast, beta_slow);
-    k = ggml_rope_ext(ctx0, k, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, ext_factor,
-                      attn_factor, beta_fast, beta_slow);
-
-    cur = build_attn(inp_attn,
-            model.layers[il].wo, NULL,
-            q, k, v, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
-
-    cb(cur, "model.layers.{}.self_attn.out_proj", il);
-
-    return cur;
-}
-
-ggml_tensor * llm_build_lfm2::build_shortconv_block(ggml_tensor * cur, llm_graph_input_rs * inp_recr, int il) {
-    const auto *   mctx_cur     = static_cast<const llama_memory_hybrid_context *>(mctx)->get_recr();
-    const uint32_t kv_head      = mctx_cur->get_head();
-    const int64_t  n_seq_tokens = ubatch.n_seq_tokens;
-    const int64_t  n_seqs       = ubatch.n_seqs;
-    GGML_ASSERT(n_seqs != 0);
-    GGML_ASSERT(ubatch.equal_seqs());
-    GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs);
-
-    GGML_ASSERT(hparams.n_shortconv_l_cache > 1);
-    const uint32_t d_conv = hparams.n_shortconv_l_cache - 1;
-
-    // {n_embd, n_tokens} => {n_embd, n_seq_tokens, n_seqs}
-    cur = ggml_reshape_3d(ctx0, cur, cur->ne[0], n_seq_tokens, n_seqs);
-
-    auto * bcx = build_lora_mm(model.layers[il].shortconv.in_proj, cur);
-    cb(bcx, "model.layers.{}.conv.in_proj", il);
-
-    constexpr auto n_chunks = 3;
-    GGML_ASSERT(bcx->ne[0] % n_chunks == 0);
-    const auto chunk_size = bcx->ne[0] / n_chunks;
-    auto *     b          = ggml_view_3d(ctx0, bcx, chunk_size, bcx->ne[1], bcx->ne[2], bcx->nb[1], bcx->nb[2],
-                                         0 * chunk_size * ggml_element_size(bcx));
-    auto *     c          = ggml_view_3d(ctx0, bcx, chunk_size, bcx->ne[1], bcx->ne[2], bcx->nb[1], bcx->nb[2],
-                                         1 * chunk_size * ggml_element_size(bcx));
-    auto *     x          = ggml_view_3d(ctx0, bcx, chunk_size, bcx->ne[1], bcx->ne[2], bcx->nb[1], bcx->nb[2],
-                                         2 * chunk_size * ggml_element_size(bcx));
-
-    auto * bx = ggml_transpose(ctx0, ggml_mul(ctx0, b, x));
-
-    // read conv state
-    auto * conv_state = mctx_cur->get_r_l(il);
-    auto * conv_rs    = build_rs(inp_recr, conv_state, hparams.n_embd_r(), n_seqs);
-    auto * conv       = ggml_reshape_3d(ctx0, conv_rs, d_conv, hparams.n_embd, n_seqs);
-
-    bx = ggml_concat(ctx0, conv, bx, 0);
-    GGML_ASSERT(bx->ne[0] > conv->ne[0]);
-
-    // last d_conv columns is a new conv state
-    auto * new_conv = ggml_view_3d(ctx0, bx, conv->ne[0], bx->ne[1], bx->ne[2], bx->nb[1], bx->nb[2],
-                                   (bx->ne[0] - conv->ne[0]) * ggml_element_size(bx));
-    GGML_ASSERT(ggml_are_same_shape(conv, new_conv));
-
-    // write new conv conv state
-    ggml_build_forward_expand(gf, ggml_cpy(ctx0, new_conv,
-                                           ggml_view_1d(ctx0, conv_state, ggml_nelements(new_conv),
-                                                        kv_head * d_conv * n_embd * ggml_element_size(new_conv))));
-
-    auto * conv_kernel = model.layers[il].shortconv.conv;
-    auto * conv_out    = ggml_ssm_conv(ctx0, bx, conv_kernel);
-    cb(conv_out, "model.layers.{}.conv.conv", il);
-
-    auto * y = ggml_mul(ctx0, c, conv_out);
-    y        = build_lora_mm(model.layers[il].shortconv.out_proj, y);
-    cb(y, "model.layers.{}.conv.out_proj", il);
-    // {n_embd, n_seq_tokens, n_seqs} => {n_embd, n_tokens}
-    y = ggml_reshape_2d(ctx0, y, y->ne[0], n_seq_tokens * n_seqs);
-
-    return y;
-}
+// Explicit template instantiations
+template struct llm_build_lfm2<true>;
+template struct llm_build_lfm2<false>;
diff --git a/src/models/llada-moe.cpp b/src/models/llada-moe.cpp
index 5f64686f5fb..18de88fde1f 100644
--- a/src/models/llada-moe.cpp
+++ b/src/models/llada-moe.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -90,7 +90,7 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, false,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(cur, "ffn_moe_out", il);
diff --git a/src/models/llada.cpp b/src/models/llada.cpp
index 857033660a0..0dac9d616ae 100644
--- a/src/models/llada.cpp
+++ b/src/models/llada.cpp
@@ -2,10 +2,10 @@
 
 llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     // LLaDA is similar to LLaMA but uses non-causal attention for diffusion
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/llama-iswa.cpp b/src/models/llama-iswa.cpp
index 61dd2c179f1..67cb9a10ec5 100644
--- a/src/models/llama-iswa.cpp
+++ b/src/models/llama-iswa.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -134,7 +134,7 @@ llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, false,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
                     il);
 
diff --git a/src/models/llama.cpp b/src/models/llama.cpp
index 42b5fcdf42e..e08ae0c0b0e 100644
--- a/src/models/llama.cpp
+++ b/src/models/llama.cpp
@@ -2,10 +2,10 @@
 
 template <bool embed>
 llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -43,19 +43,19 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
             cb(Qcur, "Qcur", il);
             if (model.layers[il].bq) {
                 Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
                 cb(Qcur, "Qcur", il);
             }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
             cb(Kcur, "Kcur", il);
             if (model.layers[il].bk) {
                 Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
                 cb(Kcur, "Kcur", il);
             }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
             cb(Vcur, "Vcur", il);
             if (model.layers[il].bv) {
                 Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
@@ -91,6 +91,9 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
             cur = build_attn(inp_attn,
                     model.layers[il].wo, model.layers[il].bo,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
+            if (model.layers[il].wo_s) {
+                cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
+            }
             cb(cur, "attn_out", il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
@@ -109,9 +112,9 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
             cb(cur, "ffn_norm", il);
 
             cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
-                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
-                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
+                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   model.layers[il].ffn_up_s,
+                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, model.layers[il].ffn_gate_s,
+                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down_s,
                     NULL,
                     LLM_FFN_SILU, LLM_FFN_PAR, il);
             cb(cur, "ffn_out", il);
@@ -130,9 +133,13 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
-                    il);
+                    il,
+                    nullptr, nullptr,
+                    model.layers[il].ffn_up_exps_s,
+                    model.layers[il].ffn_gate_exps_s,
+                    model.layers[il].ffn_down_exps_s);
             cb(cur, "ffn_moe_out", il);
         }
         cur = ggml_add(ctx0, cur, ffn_inp);
diff --git a/src/models/maincoder.cpp b/src/models/maincoder.cpp
index da57308167e..a72b7790a1f 100644
--- a/src/models/maincoder.cpp
+++ b/src/models/maincoder.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/graph-context-mamba.cpp b/src/models/mamba-base.cpp
similarity index 96%
rename from src/models/graph-context-mamba.cpp
rename to src/models/mamba-base.cpp
index b9a363b32b6..9de587db55f 100644
--- a/src/models/graph-context-mamba.cpp
+++ b/src/models/mamba-base.cpp
@@ -1,8 +1,10 @@
 #include "models.h"
 
-llm_graph_context_mamba::llm_graph_context_mamba(const llm_graph_params & params) : llm_graph_context(params) {}
+#include "llama-memory-recurrent.h"
 
-ggml_tensor * llm_graph_context_mamba::build_mamba_layer(llm_graph_input_rs * inp,
+llm_build_mamba_base::llm_build_mamba_base(const llm_graph_params & params) : llm_graph_context(params) {}
+
+ggml_tensor * llm_build_mamba_base::build_mamba_layer(llm_graph_input_rs * inp,
                                                          ggml_tensor *        cur,
                                                          const llama_model &  model,
                                                          const llama_ubatch & ubatch,
@@ -28,6 +30,7 @@ ggml_tensor * llm_graph_context_mamba::build_mamba_layer(llm_graph_input_rs * in
     GGML_ASSERT(n_seqs != 0);
     GGML_ASSERT(ubatch.equal_seqs());
     GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs);
+    GGML_ASSERT(d_inner % n_head == 0);
 
     ggml_tensor * conv_states_all = mctx_cur->get_r_l(il);
     ggml_tensor * ssm_states_all  = mctx_cur->get_s_l(il);
@@ -143,7 +146,7 @@ ggml_tensor * llm_graph_context_mamba::build_mamba_layer(llm_graph_input_rs * in
     return cur;
 }
 
-ggml_tensor * llm_graph_context_mamba::build_mamba2_layer(llm_graph_input_rs * inp,
+ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp,
                                                           ggml_tensor *        cur,
                                                           const llama_model &  model,
                                                           const llama_ubatch & ubatch,
@@ -165,6 +168,9 @@ ggml_tensor * llm_graph_context_mamba::build_mamba2_layer(llm_graph_input_rs * i
     GGML_ASSERT(n_seqs != 0);
     GGML_ASSERT(ubatch.equal_seqs());
     GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs);
+    GGML_ASSERT(d_inner % n_head  == 0);
+    GGML_ASSERT(d_inner % d_state == 0);
+    GGML_ASSERT(d_inner % n_group == 0);
 
     ggml_tensor * conv_states_all = mctx_cur->get_r_l(il);
     ggml_tensor * ssm_states_all  = mctx_cur->get_s_l(il);
diff --git a/src/models/mamba.cpp b/src/models/mamba.cpp
index 46819613c2d..55fd2e055c4 100644
--- a/src/models/mamba.cpp
+++ b/src/models/mamba.cpp
@@ -1,7 +1,6 @@
 #include "models.h"
 
-
-llm_build_mamba::llm_build_mamba(const llama_model & model, const llm_graph_params & params) : llm_graph_context_mamba(params) {
+llm_build_mamba::llm_build_mamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
diff --git a/src/models/mimo2-iswa.cpp b/src/models/mimo2-iswa.cpp
index edc87cc9f0d..06956915ea0 100644
--- a/src/models/mimo2-iswa.cpp
+++ b/src/models/mimo2-iswa.cpp
@@ -1,4 +1,3 @@
-
 #include "models.h"
 
 llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
@@ -88,10 +87,17 @@ llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_
             cb(cur, "ffn_out", il);
         } else {
             // MoE branch
-            cur = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps,
-                                model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps,
-                                model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, false,
-                                0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il);
+            cur = build_moe_ffn(cur,
+                    model.layers[il].ffn_gate_inp,
+                    model.layers[il].ffn_up_exps,
+                    model.layers[il].ffn_gate_exps,
+                    model.layers[il].ffn_down_exps,
+                    model.layers[il].ffn_exp_probs_b,
+                    n_expert, n_expert_used,
+                    LLM_FFN_SILU, true,
+                    hparams.expert_weights_scale,
+                    LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
+                    il);
             cb(cur, "ffn_moe_out", il);
         }
 
diff --git a/src/models/minicpm3.cpp b/src/models/minicpm3.cpp
index 297cc34ba58..89dd7105157 100644
--- a/src/models/minicpm3.cpp
+++ b/src/models/minicpm3.cpp
@@ -5,10 +5,10 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap
     const int64_t n_embd_base = 256;
     const float scale_embd  = 12.0f;
     const float scale_depth = 1.4f;
-    const float kq_scale = 1.0f / sqrtf(float(hparams.n_embd_head_k));
+    const float kq_scale = 1.0f / sqrtf(float(hparams.n_embd_head_k()));
 
-    const uint32_t n_embd_head_qk_rope = hparams.n_rot;
-    const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot;
+    const uint32_t n_embd_head_qk_rope = hparams.n_rot();
+    const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
 
     const uint32_t kv_lora_rank = hparams.n_lora_kv;
 
@@ -51,21 +51,21 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap
                     LLM_NORM_RMS, il);
             cb(q, "q", il);
 
-            // {q_lora_rank, n_head * hparams.n_embd_head_k} * {q_lora_rank, n_tokens} -> {n_head * hparams.n_embd_head_k, n_tokens}
+            // {q_lora_rank, n_head * hparams.n_embd_head_k()} * {q_lora_rank, n_tokens} -> {n_head * hparams.n_embd_head_k(), n_tokens}
             q = ggml_mul_mat(ctx0, model.layers[il].wq_b, q);
             cb(q, "q", il);
 
             // split into {n_head * n_embd_head_qk_nope, n_tokens}
             ggml_tensor * q_nope = ggml_view_3d(ctx0, q, n_embd_head_qk_nope, n_head, n_tokens,
-                    ggml_row_size(q->type, hparams.n_embd_head_k),
-                    ggml_row_size(q->type, hparams.n_embd_head_k * n_head),
+                    ggml_row_size(q->type, hparams.n_embd_head_k()),
+                    ggml_row_size(q->type, hparams.n_embd_head_k() * n_head),
                     0);
             cb(q_nope, "q_nope", il);
 
             // and {n_head * n_embd_head_qk_rope, n_tokens}
             ggml_tensor * q_pe = ggml_view_3d(ctx0, q, n_embd_head_qk_rope, n_head, n_tokens,
-                    ggml_row_size(q->type, hparams.n_embd_head_k),
-                    ggml_row_size(q->type, hparams.n_embd_head_k * n_head),
+                    ggml_row_size(q->type, hparams.n_embd_head_k()),
+                    ggml_row_size(q->type, hparams.n_embd_head_k() * n_head),
                     ggml_row_size(q->type, n_embd_head_qk_nope));
             cb(q_pe, "q_pe", il);
 
@@ -97,15 +97,15 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap
 
             // split into {n_head * n_embd_head_qk_nope, n_tokens}
             ggml_tensor * k_nope = ggml_view_3d(ctx0, kv, n_embd_head_qk_nope, n_head, n_tokens,
-                    ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v),
-                    ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v)),
+                    ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v()),
+                    ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v())),
                     0);
             cb(k_nope, "k_nope", il);
 
             // and {n_head * n_embd_head_v, n_tokens}
-            ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v, n_head, n_tokens,
-                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)),
-                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)*n_head),
+            ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v(), n_head, n_tokens,
+                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())),
+                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())*n_head),
                     ggml_row_size(kv->type, (n_embd_head_qk_nope)));
             cb(v_states, "v_states", il);
 
diff --git a/src/models/minimax-m2.cpp b/src/models/minimax-m2.cpp
index f7001badf75..83d0916c08c 100644
--- a/src/models/minimax-m2.cpp
+++ b/src/models/minimax-m2.cpp
@@ -1,11 +1,10 @@
-
 #include "models.h"
 
 llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    // GGML_ASSERT(n_embd_head == hparams.n_rot); this is wrong in case of minimax, head_dim = 128, n_rot = 64
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    // GGML_ASSERT(n_embd_head == n_rot); this is wrong in case of minimax, head_dim = 128, n_rot = 64
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -91,7 +90,7 @@ llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_
                 model.layers[il].ffn_exp_probs_b,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, true,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 (llama_expert_gating_func_type) hparams.expert_gating_func,
                 il);
         cb(cur, "ffn_moe_out", il);
diff --git a/src/models/mistral3.cpp b/src/models/mistral3.cpp
index 0b672235911..42a5117ff02 100644
--- a/src/models/mistral3.cpp
+++ b/src/models/mistral3.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -127,7 +127,7 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
             cb(cur, "ffn_moe_out", il);
diff --git a/src/models/models.h b/src/models/models.h
index 3c66d325314..a86b2b1ebd7 100644
--- a/src/models/models.h
+++ b/src/models/models.h
@@ -1,23 +1,71 @@
 #pragma once
 
-#include "../llama-model.h"
-#include "../llama-graph.h"
+#include "llama-model.h"
+#include "llama-graph.h"
 
-// TODO: remove in follow-up PR - move to .cpp files
-#include "../llama-memory-recurrent.h"
+// note: almost all graphs require at least sqrtf, so include cmath globally
 #include <cmath>
 
-struct llm_graph_context_mamba : public llm_graph_context {
-    llm_graph_context_mamba(const llm_graph_params & params);
+//
+// base classes
+//
 
-    virtual ~llm_graph_context_mamba() = default;
+struct llm_build_mamba_base : public llm_graph_context {
+    llm_build_mamba_base(const llm_graph_params & params);
+
+    virtual ~llm_build_mamba_base() = default;
 
     ggml_tensor * build_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il);
     ggml_tensor * build_mamba2_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il) const;
 
 };
 
-// Base class for RWKV-related models
+struct llm_build_delta_net_base : public llm_graph_context {
+    llm_build_delta_net_base(const llm_graph_params & params);
+
+    virtual ~llm_build_delta_net_base() = default;
+
+    // returns pair of output and new state
+    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_chunking(
+                ggml_tensor * q,
+                ggml_tensor * k,
+                ggml_tensor * v,
+                ggml_tensor * g,
+                ggml_tensor * b,
+                ggml_tensor * s,
+                        int   il);
+
+    // returns pair of output and new state
+    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_autoregressive(
+                ggml_tensor * q,
+                ggml_tensor * k,
+                ggml_tensor * v,
+                ggml_tensor * g,
+                ggml_tensor * b,
+                ggml_tensor * s,
+                int           il);
+
+    // use the ggml_gated_delta_net fused operator
+    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_fused(
+                ggml_tensor * q,
+                ggml_tensor * k,
+                ggml_tensor * v,
+                ggml_tensor * g,
+                ggml_tensor * b,
+                ggml_tensor * s,
+                        int   il);
+
+    // choose one of two implementations above based on the number of tokens
+    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net(
+                ggml_tensor * q,
+                ggml_tensor * k,
+                ggml_tensor * v,
+                ggml_tensor * g,
+                ggml_tensor * b,
+                ggml_tensor * s,
+                        int   il);
+};
+
 struct llm_build_rwkv6_base : public llm_graph_context {
     const llama_model & model;
 
@@ -58,6 +106,10 @@ struct llm_build_rwkv7_base : public llm_graph_context {
                                        int                  il) const;
 };
 
+//
+// models
+//
+
 struct llm_build_afmoe : public llm_graph_context {
     llm_build_afmoe(const llama_model & model, const llm_graph_params & params);
 };
@@ -158,6 +210,10 @@ struct llm_build_ernie4_5_moe : public llm_graph_context {
     llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params);
 };
 
+struct llm_build_paddleocr : public llm_graph_context {
+    llm_build_paddleocr(const llama_model & model, const llm_graph_params & params);
+};
+
 template <bool iswa>
 struct llm_build_exaone4 : public llm_graph_context {
     llm_build_exaone4(const llama_model & model, const llm_graph_params & params);
@@ -175,7 +231,7 @@ struct llm_build_falcon : public llm_graph_context {
     llm_build_falcon(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_falcon_h1 : public llm_graph_context_mamba {
+struct llm_build_falcon_h1 : public llm_build_mamba_base {
     llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params);
 };
 
@@ -253,7 +309,7 @@ struct llm_build_granite : public llm_graph_context {
         const int                 il);
 };
 
-struct llm_build_granite_hybrid : public llm_graph_context_mamba {
+struct llm_build_granite_hybrid : public llm_build_mamba_base {
     llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params);
     ggml_tensor * build_layer_ffn(ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, const int il);
     ggml_tensor * build_attention_layer(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn,
@@ -284,11 +340,15 @@ struct llm_build_jais : public llm_graph_context {
     llm_build_jais(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_jamba : public llm_graph_context_mamba {
+struct llm_build_jais2 : public llm_graph_context {
+    llm_build_jais2(const llama_model & model, const llm_graph_params & params);
+};
+
+struct llm_build_jamba : public llm_build_mamba_base {
     llm_build_jamba(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_kimi_linear : public llm_graph_context_mamba {
+struct llm_build_kimi_linear : public llm_build_delta_net_base {
     llm_build_kimi_linear(const llama_model & model, const llm_graph_params & params);
 
     std::pair<ggml_tensor *, ggml_tensor *> build_kda_autoregressive(
@@ -315,15 +375,9 @@ struct llm_build_kimi_linear : public llm_graph_context_mamba {
     const llama_model & model;
 };
 
+template <bool iswa>
 struct llm_build_lfm2 : public llm_graph_context {
-    const llama_model & model;
-
     llm_build_lfm2(const llama_model & model, const llm_graph_params & params);
-    ggml_tensor * build_moe_feed_forward(ggml_tensor * cur, int il) const;
-    ggml_tensor * build_dense_feed_forward(ggml_tensor * cur, int il) const;
-    ggml_tensor * build_attn_block(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn, int il) const;
-    ggml_tensor * build_shortconv_block(ggml_tensor * cur, llm_graph_input_rs * inp_recr, int il);
-
 };
 
 struct llm_build_llada : public llm_graph_context {
@@ -347,7 +401,7 @@ struct llm_build_maincoder : public llm_graph_context {
     llm_build_maincoder(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_mamba : public llm_graph_context_mamba {
+struct llm_build_mamba : public llm_build_mamba_base {
     llm_build_mamba(const llama_model & model, const llm_graph_params & params);
 };
 
@@ -379,17 +433,21 @@ struct llm_build_nemotron : public llm_graph_context {
     llm_build_nemotron(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_nemotron_h : public llm_graph_context_mamba {
+struct llm_build_nemotron_h : public llm_build_mamba_base {
     llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params);
-    ggml_tensor * build_ffn_layer(ggml_tensor * cur, const llama_model & model, const int il);
+    ggml_tensor * build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il);
     ggml_tensor * build_attention_layer(ggml_tensor * cur, llm_graph_input_attn_kv * inp_attn,
-        const llama_model & model, const int64_t n_embd_head, const int il);
+        const llama_model & model, int64_t n_embd_head, int il);
 };
 
 struct llm_build_neo_bert : public llm_graph_context {
     llm_build_neo_bert(const llama_model & model, const llm_graph_params & params);
 };
 
+struct llm_build_eurobert : public llm_graph_context {
+    llm_build_eurobert(const llama_model & model, const llm_graph_params & params);
+};
+
 template <bool iswa>
 struct llm_build_olmo2 : public llm_graph_context {
     llm_build_olmo2(const llama_model & model, const llm_graph_params & params);
@@ -428,7 +486,7 @@ struct llm_build_phi3 : public llm_graph_context {
     llm_build_phi3(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_plamo2 : public llm_graph_context_mamba {
+struct llm_build_plamo2 : public llm_build_mamba_base {
     llm_build_plamo2(const llama_model & model, const llm_graph_params & params);
     private:
         ggml_tensor * build_plamo2_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il);
@@ -477,7 +535,7 @@ struct llm_build_qwen3vlmoe : public llm_graph_context {
     llm_build_qwen3vlmoe(const llama_model & model, const llm_graph_params & params);
 };
 
-struct llm_build_qwen3next : public llm_graph_context_mamba {
+struct llm_build_qwen3next : public llm_build_delta_net_base {
     llm_build_qwen3next(const llama_model & model, const llm_graph_params & params);
 private:
     ggml_tensor * build_layer_attn(
@@ -489,38 +547,12 @@ struct llm_build_qwen3next : public llm_graph_context_mamba {
     ggml_tensor * build_layer_attn_linear(
          llm_graph_input_rs * inp,
                 ggml_tensor * cur,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
                         int   il);
 
     ggml_tensor * build_layer_ffn(
                 ggml_tensor * cur,
                         int   il);
 
-    // returns pair of output and new state
-    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_chunking(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * g,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
-                        int   il);
-
-    // returns pair of output and new state
-    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_autoregressive(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * g,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                int           il);
-
     ggml_tensor * build_norm_gated(
                 ggml_tensor * input,
                 ggml_tensor * weights,
@@ -535,7 +567,7 @@ struct llm_build_qwen3next : public llm_graph_context_mamba {
     const llama_model & model;
 };
 
-struct llm_build_qwen35 : public llm_graph_context_mamba {
+struct llm_build_qwen35 : public llm_build_delta_net_base {
     llm_build_qwen35(const llama_model & model, const llm_graph_params & params);
 private:
     ggml_tensor * build_layer_attn(
@@ -548,38 +580,12 @@ struct llm_build_qwen35 : public llm_graph_context_mamba {
     ggml_tensor * build_layer_attn_linear(
          llm_graph_input_rs * inp,
                 ggml_tensor * cur,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
                         int   il);
 
     ggml_tensor * build_layer_ffn(
                 ggml_tensor * cur,
                         int   il);
 
-    // returns pair of output and new state
-    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_chunking(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * g,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
-                        int   il);
-
-    // returns pair of output and new state
-    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_autoregressive(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * g,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                int           il);
-
     ggml_tensor * build_norm_gated(
                 ggml_tensor * input,
                 ggml_tensor * weights,
@@ -594,7 +600,8 @@ struct llm_build_qwen35 : public llm_graph_context_mamba {
     const llama_model & model;
 };
 
-struct llm_build_qwen35moe : public llm_graph_context_mamba {
+// TODO: derive llm_build_delta_net_base instead
+struct llm_build_qwen35moe : public llm_build_delta_net_base {
     llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params);
 private:
     ggml_tensor * build_layer_attn(
@@ -607,38 +614,12 @@ struct llm_build_qwen35moe : public llm_graph_context_mamba {
     ggml_tensor * build_layer_attn_linear(
          llm_graph_input_rs * inp,
                 ggml_tensor * cur,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
                         int   il);
 
     ggml_tensor * build_layer_ffn(
                 ggml_tensor * cur,
                         int   il);
 
-    // returns pair of output and new state
-    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_chunking(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * g,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
-                        int   il);
-
-    // returns pair of output and new state
-    std::pair<ggml_tensor *, ggml_tensor *> build_delta_net_autoregressive(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * g,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                int           il);
-
     ggml_tensor * build_norm_gated(
                 ggml_tensor * input,
                 ggml_tensor * weights,
diff --git a/src/models/modern-bert.cpp b/src/models/modern-bert.cpp
index bb12ed819f7..26020584c6d 100644
--- a/src/models/modern-bert.cpp
+++ b/src/models/modern-bert.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -104,13 +104,6 @@ llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const ll
             LLM_NORM, -1);
     cb(cur, "final_norm_out", -1);
 
-    if (hparams.pooling_type == LLAMA_POOLING_TYPE_CLS) {
-        // extracting cls token
-        cur = ggml_view_1d(ctx0, cur, hparams.n_embd, 0);
-        cb(cur, "cls_pooled_embd", -1);
-    }
-
-    cb(cur, "res_embd", -1);
     res->t_embd = cur;
     ggml_build_forward_expand(gf, cur);
 }
diff --git a/src/models/mpt.cpp b/src/models/mpt.cpp
index 2328e027a74..ce44a805f5c 100644
--- a/src/models/mpt.cpp
+++ b/src/models/mpt.cpp
@@ -3,10 +3,10 @@
 
 
 llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * pos;
diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp
index 079c730ac29..7af99174d16 100644
--- a/src/models/nemotron-h.cpp
+++ b/src/models/nemotron-h.cpp
@@ -1,11 +1,9 @@
 #include "models.h"
 
-
-
 llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    llm_build_mamba_base(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -65,8 +63,8 @@ llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_
 ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor *             cur,
                                                           llm_graph_input_attn_kv * inp_attn,
                                                           const llama_model &       model,
-                                                          const int64_t             n_embd_head,
-                                                          const int                 il) {
+                                                                int64_t             n_embd_head,
+                                                                int                 il) {
     // compute Q and K
     ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
     cb(Qcur, "Qcur", il);
@@ -106,7 +104,7 @@ ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor *
     return cur;
 }
 
-ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const llama_model & model, const int il) {
+ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il) {
     if (model.layers[il].ffn_gate_inp == nullptr) {
         cur = build_ffn(cur,
                 model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
@@ -116,9 +114,18 @@ ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const lla
                 LLM_FFN_RELU_SQR, LLM_FFN_PAR, il);
         cb(cur, "ffn_out", il);
     } else {
-        ggml_tensor * ffn_inp = cur;
+        ggml_tensor * inp_emb    = cur;
+        ggml_tensor * inp_latent = cur;
+
+        if (model.layers[il].ffn_latent_down) {
+            inp_latent = ggml_mul_mat(ctx0, model.layers[il].ffn_latent_down, cur);
+        }
+
+        ggml_tensor * router_logits = build_lora_mm(model.layers[il].ffn_gate_inp, cur);
+        cb(router_logits, "ffn_moe_logits", il);
+
         ggml_tensor * moe_out =
-            build_moe_ffn(ffn_inp,
+            build_moe_ffn(inp_latent,
                     model.layers[il].ffn_gate_inp,
                     model.layers[il].ffn_up_exps,
                     nullptr, // no gate
@@ -126,12 +133,17 @@ ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const lla
                     model.layers[il].ffn_exp_probs_b,
                     n_expert, n_expert_used,
                     LLM_FFN_RELU_SQR, hparams.expert_weights_norm,
-                    true, hparams.expert_weights_scale,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
-                    il);
+                    il,
+                    router_logits);
         cb(moe_out, "ffn_moe_out", il);
 
-        ggml_tensor * ffn_shexp = build_ffn(ffn_inp,
+        if (model.layers[il].ffn_latent_up) {
+            moe_out = ggml_mul_mat(ctx0, model.layers[il].ffn_latent_up, moe_out);
+        }
+
+        ggml_tensor * ffn_shexp = build_ffn(inp_emb,
                     model.layers[il].ffn_up_shexp,  NULL, NULL,
                     NULL /* no gate */           ,  NULL, NULL,
                     model.layers[il].ffn_down_shexp, NULL, NULL,
diff --git a/src/models/nemotron.cpp b/src/models/nemotron.cpp
index fcead041f0a..34aa6fa5ec4 100644
--- a/src/models/nemotron.cpp
+++ b/src/models/nemotron.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    //GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    //GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/neo-bert.cpp b/src/models/neo-bert.cpp
index 7c32bfca5f5..2fdf4a3692f 100644
--- a/src/models/neo-bert.cpp
+++ b/src/models/neo-bert.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/olmo.cpp b/src/models/olmo.cpp
index bbd623f1112..26f4b6ee628 100644
--- a/src/models/olmo.cpp
+++ b/src/models/olmo.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/olmo2.cpp b/src/models/olmo2.cpp
index 713552dab89..5076359e3f9 100644
--- a/src/models/olmo2.cpp
+++ b/src/models/olmo2.cpp
@@ -2,10 +2,10 @@
 
 template <bool iswa>
 llm_build_olmo2<iswa>::llm_build_olmo2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/olmoe.cpp b/src/models/olmoe.cpp
index b8b6988f897..83a56a0b3b6 100644
--- a/src/models/olmoe.cpp
+++ b/src/models/olmoe.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -92,7 +92,7 @@ llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_para
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SILU, false,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                 il);
         cb(cur, "ffn_moe_out", il);
diff --git a/src/models/openai-moe-iswa.cpp b/src/models/openai-moe-iswa.cpp
index dbe3ca1851f..403f130bc41 100644
--- a/src/models/openai-moe-iswa.cpp
+++ b/src/models/openai-moe-iswa.cpp
@@ -95,7 +95,7 @@ llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model,
                 nullptr,
                 n_expert, n_expert_used,
                 LLM_FFN_SWIGLU_OAI_MOE, false,
-                false, 0.0,
+                hparams.expert_weights_scale,
                 LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX_WEIGHT,
                 il);
         cb(cur, "ffn_moe_out", il);
diff --git a/src/models/openelm.cpp b/src/models/openelm.cpp
index fbf682ec835..5df6fe3e3ce 100644
--- a/src/models/openelm.cpp
+++ b/src/models/openelm.cpp
@@ -1,9 +1,9 @@
 #include "models.h"
 
 llm_build_openelm::llm_build_openelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/orion.cpp b/src/models/orion.cpp
index bb02273bfe7..48c01efe368 100644
--- a/src/models/orion.cpp
+++ b/src/models/orion.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/paddleocr.cpp b/src/models/paddleocr.cpp
new file mode 100644
index 00000000000..340455c2d5f
--- /dev/null
+++ b/src/models/paddleocr.cpp
@@ -0,0 +1,122 @@
+#include "models.h"
+
+llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_graph_params & params) :
+    llm_graph_context(params) {
+
+    // NOTE: same with qwen2vl.cpp, but bias tensors are optional
+
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    int sections[4];
+    std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
+
+    // inp_pos - contains the positions
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    auto * inp_attn = build_attn_inp_kv();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        ggml_tensor * inpSA = inpL;
+
+        // norm
+        {
+            cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il);
+            cb(cur, "attn_norm", il);
+        }
+        // self-attention
+        {
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
+            cb(Qcur, "Qcur", il);
+            if (model.layers[il].bq) {
+                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
+                cb(Qcur, "Qcur", il);
+            }
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
+            cb(Kcur, "Kcur", il);
+            if (model.layers[il].bk) {
+                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
+                cb(Kcur, "Kcur", il);
+            }
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
+            cb(Vcur, "Vcur", il);
+            if (model.layers[il].bv) {
+                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
+                cb(Vcur, "Vcur", il);
+            }
+            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+
+            Qcur = ggml_rope_multi(
+                    ctx0, Qcur, inp_pos, nullptr,
+                    n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            Kcur = ggml_rope_multi(
+                    ctx0, Kcur, inp_pos, nullptr,
+                    n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, model.layers[il].bo,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
+        }
+        if (il == n_layer - 1) {
+            // skip computing output for unused tokens
+            cur   = ggml_get_rows(ctx0, cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        // feed-forward network
+        {
+            cur = build_norm(ffn_inp, model.layers[il].ffn_norm, NULL, LLM_NORM_RMS, il);
+            cb(cur, "ffn_norm", il);
+
+            cur = build_ffn(cur,
+                    model.layers[il].ffn_up, NULL, NULL,
+                    model.layers[il].ffn_gate, NULL, NULL,
+                    model.layers[il].ffn_down, NULL, NULL,
+                    NULL, LLM_FFN_SILU, LLM_FFN_PAR, il);
+            cb(cur, "ffn_out", il);
+        }
+        cur = ggml_add(ctx0, cur, ffn_inp);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+    cur = inpL;
+
+    cur = build_norm(cur, model.output_norm, NULL, LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/pangu-embedded.cpp b/src/models/pangu-embedded.cpp
index 664572a5001..1cf0938e68f 100644
--- a/src/models/pangu-embedded.cpp
+++ b/src/models/pangu-embedded.cpp
@@ -2,10 +2,10 @@
 
 
 llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/phi2.cpp b/src/models/phi2.cpp
index 22dbf610767..32d40d71fb7 100644
--- a/src/models/phi2.cpp
+++ b/src/models/phi2.cpp
@@ -2,10 +2,10 @@
 
 
 llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * attn_norm_output;
diff --git a/src/models/phi3.cpp b/src/models/phi3.cpp
index c8e5da33db7..3d11a9459c4 100644
--- a/src/models/phi3.cpp
+++ b/src/models/phi3.cpp
@@ -2,10 +2,10 @@
 
 template<bool iswa>
 llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -114,7 +114,7 @@ llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
             cb(cur, "ffn_moe_out", il);
diff --git a/src/models/plamo.cpp b/src/models/plamo.cpp
index 04ff709f9c6..b7a71211042 100644
--- a/src/models/plamo.cpp
+++ b/src/models/plamo.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/plamo2.cpp b/src/models/plamo2.cpp
index 31115a08f95..f02acbc1869 100644
--- a/src/models/plamo2.cpp
+++ b/src/models/plamo2.cpp
@@ -1,7 +1,9 @@
 #include "models.h"
 
+#include "llama-memory-recurrent.h"
+
 llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params) {
+    llm_build_mamba_base(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
@@ -25,7 +27,7 @@ llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_pa
         cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il);
 
         // check if this layer is Mamba or Attention
-        bool is_mamba_layer = hparams.is_recurrent(il);
+        const bool is_mamba_layer = hparams.is_recurrent(il);
 
         if (is_mamba_layer) {
             // PLaMo-2 Mamba layer
@@ -104,9 +106,9 @@ ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv
         cb(qkv, "wqkv", il);
 
         // split QKV tensor into Q, K, V
-        const int64_t n_embd_head_q = hparams.n_embd_head_k;
-        const int64_t n_embd_head_k = hparams.n_embd_head_k;
-        const int64_t n_embd_head_v = hparams.n_embd_head_v;
+        const int64_t n_embd_head_q = hparams.n_embd_head_k();
+        const int64_t n_embd_head_k = hparams.n_embd_head_k();
+        const int64_t n_embd_head_v = hparams.n_embd_head_v();
         int32_t       n_head        = hparams.n_head(il);
         int32_t       n_head_kv     = hparams.n_head_kv(il);
 
@@ -169,6 +171,8 @@ ggml_tensor * llm_build_plamo2::build_plamo2_mamba_layer(llm_graph_input_rs * in
     GGML_ASSERT(n_seqs != 0);
     GGML_ASSERT(ubatch.equal_seqs());
     GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs);
+    GGML_ASSERT(d_inner % n_head == 0);
+    GGML_ASSERT(n_group == 0);
 
     ggml_tensor * conv_states_all = mctx_cur->get_r_l(il);
     ggml_tensor * ssm_states_all  = mctx_cur->get_s_l(il);
diff --git a/src/models/plamo3.cpp b/src/models/plamo3.cpp
index 55c8064679e..32af6e04663 100644
--- a/src/models/plamo3.cpp
+++ b/src/models/plamo3.cpp
@@ -3,8 +3,8 @@
 template <bool iswa>
 llm_build_plamo3<iswa>::llm_build_plamo3(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
-    const int64_t head_dim_q = hparams.n_embd_head_k;
-    const int64_t head_dim_v = hparams.n_embd_head_v;
+    const int64_t head_dim_q = hparams.n_embd_head_k();
+    const int64_t head_dim_v = hparams.n_embd_head_v();
 
     ggml_tensor * cur;
     ggml_tensor * inpL = build_inp_embd(model.tok_embd);
diff --git a/src/models/plm.cpp b/src/models/plm.cpp
index 612a487c564..bcb651ce543 100644
--- a/src/models/plm.cpp
+++ b/src/models/plm.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const float kq_scale = 1.0f/sqrtf(float(hparams.n_embd_head_k));
+    const float kq_scale = 1.0f/sqrtf(float(hparams.n_embd_head_k()));
 
-    const uint32_t n_embd_head_qk_rope = hparams.n_rot;
-    const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot;
+    const uint32_t n_embd_head_qk_rope = hparams.n_rot();
+    const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
 
     const uint32_t kv_lora_rank = hparams.n_lora_kv;
 
@@ -38,15 +38,15 @@ llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params &
 
             // split into {n_head * n_embd_head_qk_nope, n_tokens}
             ggml_tensor * q_nope = ggml_view_3d(ctx0, q, n_embd_head_qk_nope, n_head, n_tokens,
-                    ggml_row_size(q->type, hparams.n_embd_head_k),
-                    ggml_row_size(q->type, hparams.n_embd_head_k * n_head),
+                    ggml_row_size(q->type, hparams.n_embd_head_k()),
+                    ggml_row_size(q->type, hparams.n_embd_head_k() * n_head),
                     0);
             cb(q_nope, "q_nope", il);
 
             // and {n_head * n_embd_head_qk_rope, n_tokens}
             ggml_tensor * q_pe = ggml_view_3d(ctx0, q, n_embd_head_qk_rope, n_head, n_tokens,
-                    ggml_row_size(q->type, hparams.n_embd_head_k),
-                    ggml_row_size(q->type, hparams.n_embd_head_k * n_head),
+                    ggml_row_size(q->type, hparams.n_embd_head_k()),
+                    ggml_row_size(q->type, hparams.n_embd_head_k() * n_head),
                     ggml_row_size(q->type, n_embd_head_qk_nope));
             cb(q_pe, "q_pe", il);
 
@@ -78,23 +78,23 @@ llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params &
 
             // split into {n_head * n_embd_head_qk_nope, n_tokens}
             ggml_tensor * k_nope = ggml_view_3d(ctx0, kv, n_embd_head_qk_nope, n_head, n_tokens,
-                    ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v),
-                    ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v)),
+                    ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v()),
+                    ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v())),
                     0);
             cb(k_nope, "k_nope", il);
 
             // and {n_head * n_embd_head_v, n_tokens}
-            ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v, n_head, n_tokens,
-                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)),
-                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)*n_head),
+            ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v(), n_head, n_tokens,
+                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())),
+                    ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())*n_head),
                     ggml_row_size(kv->type, (n_embd_head_qk_nope)));
             cb(v_states, "v_states", il);
 
             v_states = ggml_cont(ctx0, v_states);
             cb(v_states, "v_states", il);
 
-            v_states = ggml_view_2d(ctx0, v_states, hparams.n_embd_head_v * n_head, n_tokens,
-                    ggml_row_size(kv->type, hparams.n_embd_head_v * n_head),
+            v_states = ggml_view_2d(ctx0, v_states, hparams.n_embd_head_v() * n_head, n_tokens,
+                    ggml_row_size(kv->type, hparams.n_embd_head_v() * n_head),
                     0);
             cb(v_states, "v_states", il);
 
diff --git a/src/models/qwen.cpp b/src/models/qwen.cpp
index 31fd9b73763..7390f1320bf 100644
--- a/src/models/qwen.cpp
+++ b/src/models/qwen.cpp
@@ -2,9 +2,9 @@
 
 
 llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/qwen2.cpp b/src/models/qwen2.cpp
index 3da4dea3c16..58c10622508 100644
--- a/src/models/qwen2.cpp
+++ b/src/models/qwen2.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/qwen2moe.cpp b/src/models/qwen2moe.cpp
index 49142b71236..60761789dc9 100644
--- a/src/models/qwen2moe.cpp
+++ b/src/models/qwen2moe.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -94,7 +94,7 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, false,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/qwen2vl.cpp b/src/models/qwen2vl.cpp
index 9be38675cf7..9004bab9db1 100644
--- a/src/models/qwen2vl.cpp
+++ b/src/models/qwen2vl.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/qwen3.cpp b/src/models/qwen3.cpp
index a5cfffa5314..52081668477 100644
--- a/src/models/qwen3.cpp
+++ b/src/models/qwen3.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -30,13 +30,13 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
             cb(Qcur, "Qcur", il);
 
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
             cb(Kcur, "Kcur", il);
 
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
             cb(Vcur, "Vcur", il);
 
             Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
@@ -68,6 +68,9 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
             cur = build_attn(inp_attn,
                     model.layers[il].wo, model.layers[il].bo,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
+            if (model.layers[il].wo_s) {
+                cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
+            }
         }
         if (il == n_layer - 1 && inp_out_ids) {
             cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
@@ -83,9 +86,9 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
         cb(cur, "ffn_norm", il);
 
         cur = build_ffn(cur,
-                model.layers[il].ffn_up,   NULL, NULL,
-                model.layers[il].ffn_gate, NULL, NULL,
-                model.layers[il].ffn_down, NULL, NULL,
+                model.layers[il].ffn_up,   NULL, model.layers[il].ffn_up_s,
+                model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_s,
+                model.layers[il].ffn_down, NULL, model.layers[il].ffn_down_s,
                 NULL,
                 LLM_FFN_SILU, LLM_FFN_PAR, il);
         cb(cur, "ffn_out", il);
diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp
index 592c170457b..e12dad70012 100644
--- a/src/models/qwen35.cpp
+++ b/src/models/qwen35.cpp
@@ -1,13 +1,12 @@
-#include "ggml.h"
 #include "models.h"
 
-#define CHUNK_SIZE 64
+#include "llama-memory-recurrent.h"
 
 llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params), model(model) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    llm_build_delta_net_base(params), model(model) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     int sections[4];
     std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
@@ -24,27 +23,18 @@ llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_pa
     ggml_tensor * inp_pos     = build_inp_pos();
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
-    ggml_tensor * causal_mask =
-        ggml_tri(ctx0, ggml_fill(ctx0, ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, CHUNK_SIZE, CHUNK_SIZE), 1.0f),
-                    GGML_TRI_TYPE_LOWER);
-
-    ggml_tensor * identity = ggml_diag(ctx0, ggml_fill(ctx0, ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, CHUNK_SIZE), 1.0f));
-    ggml_tensor * diag_mask = ggml_add(ctx0, causal_mask, identity);
-
-    ggml_build_forward_expand(gf, causal_mask);
-    ggml_build_forward_expand(gf, identity);
-    ggml_build_forward_expand(gf, diag_mask);
-
     for (int il = 0; il < n_layer; ++il) {
         ggml_tensor * inpSA = inpL;
 
         cur = build_norm(inpL, model.layers[il].attn_norm, nullptr, LLM_NORM_RMS, il);
         cb(cur, "attn_norm", il);
 
+        ggml_build_forward_expand(gf, cur);
+
         // Determine layer type and build appropriate attention mechanism
         if (hparams.is_recurrent(il)) {
             // Linear attention layer (gated delta net)
-            cur = build_layer_attn_linear(inp->get_recr(), cur, causal_mask, identity, diag_mask, il);
+            cur = build_layer_attn_linear(inp->get_recr(), cur, il);
         } else {
             // Full attention layer
             cur = build_layer_attn(inp->get_attn(), cur, inp_pos, sections, il);
@@ -94,361 +84,6 @@ llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_pa
     ggml_build_forward_expand(gf, cur);
 }
 
-// utility to get one slice from the third dimension
-// input dim:  [x, y, c, b]
-// output dim: [x, y, 1, b]
-static ggml_tensor * get_slice_2d(ggml_context * ctx0, ggml_tensor * t, int64_t c) {
-    return ggml_view_4d(ctx0, t, t->ne[0], t->ne[1], 1, t->ne[3],
-        t->nb[1], t->nb[2], t->nb[3], t->nb[2] * c);
-}
-
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35::build_delta_net_chunking(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * g,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        ggml_tensor * causal_mask,
-        ggml_tensor * identity,
-        ggml_tensor * diag_mask,
-        int           il) {
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q = ggml_scale(ctx0, q, scale);
-
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(g, "g_in", il);
-
-    q = ggml_cont_4d(ctx0, ggml_permute(ctx0, q, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    k = ggml_cont_4d(ctx0, ggml_permute(ctx0, k, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    v = ggml_cont_4d(ctx0, ggml_permute(ctx0, v, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    g = ggml_cont_4d(ctx0, ggml_permute(ctx0, g, 2, 0, 3, 1), n_tokens, 1, H_k, n_seqs);
-
-    beta  = ggml_cont(ctx0, ggml_permute(ctx0, beta, 2, 0, 1, 3));
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    cb(q, "q_perm", il);
-    cb(k, "k_perm", il);
-    cb(v, "v_perm", il);
-    cb(beta, "beta_perm", il);
-    cb(g, "g_perm", il);
-    cb(state, "state_in", il);
-
-    GGML_ASSERT(q->ne[1] == n_tokens && q->ne[0] == S_k && q->ne[2] == H_k && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[1] == n_tokens && k->ne[0] == S_k && k->ne[2] == H_k && k->ne[3] == n_seqs);
-    GGML_ASSERT(v->ne[1] == n_tokens && v->ne[0] == S_v && v->ne[2] == H_k && v->ne[3] == n_seqs);
-    GGML_ASSERT(beta->ne[1] == n_tokens && beta->ne[2] == H_k && beta->ne[0] == 1 && beta->ne[3] == n_seqs);
-
-    // Do padding
-    const int64_t chunk_size = CHUNK_SIZE;
-
-    const int64_t pad = (chunk_size - n_tokens % chunk_size) % chunk_size;
-    const int64_t n_chunks = (n_tokens + pad) / chunk_size;
-
-    q = ggml_pad(ctx0, q, 0, pad, 0, 0);
-    k = ggml_pad(ctx0, k, 0, pad, 0, 0);
-    v = ggml_pad(ctx0, v, 0, pad, 0, 0);
-    g = ggml_pad(ctx0, g, pad, 0, 0, 0);
-    beta = ggml_pad(ctx0, beta, 0, pad, 0, 0);
-
-    cb(q, "q_pad", il);
-    cb(k, "k_pad", il);
-    cb(v, "v_pad", il);
-    cb(beta, "beta_pad", il);
-    cb(g, "g_pad", il);
-
-    ggml_tensor * v_beta = ggml_mul(ctx0, v, beta);
-    ggml_tensor * k_beta = ggml_mul(ctx0, k, beta);
-
-    cb(v_beta, "v_beta", il);
-    cb(k_beta, "k_beta", il);
-
-    q      = ggml_reshape_4d(ctx0, q,      S_k, chunk_size, n_chunks, H_k * n_seqs);
-    k      = ggml_reshape_4d(ctx0, k,      S_k, chunk_size, n_chunks, H_k * n_seqs);
-    k_beta = ggml_reshape_4d(ctx0, k_beta, S_k, chunk_size, n_chunks, H_k * n_seqs);
-    v      = ggml_reshape_4d(ctx0, v,      S_v, chunk_size, n_chunks, H_v * n_seqs);
-    v_beta = ggml_reshape_4d(ctx0, v_beta, S_v, chunk_size, n_chunks, H_v * n_seqs);
-
-    g    = ggml_reshape_4d(ctx0, g, chunk_size, 1, n_chunks, H_k * n_seqs);
-    beta = ggml_reshape_4d(ctx0, beta, 1, chunk_size, n_chunks, H_k * n_seqs);
-
-    ggml_tensor * g_cumsum = ggml_cumsum(ctx0, g);
-    cb(g_cumsum, "g_cumsum", il); // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * gcs_i = g_cumsum; // ggml_reshape_4d(ctx0, g_cumsum, chunk_size, 1, n_chunks, H_v * n_seqs);
-    ggml_tensor * gcs_j = ggml_reshape_4d(ctx0, g_cumsum, 1, chunk_size, n_chunks, H_v * n_seqs);
-
-    ggml_tensor * gcs_j_broadcast =
-        ggml_repeat_4d(ctx0, gcs_j, chunk_size, chunk_size, n_chunks, H_v * n_seqs);
-
-    ggml_tensor * decay_mask = ggml_sub(ctx0, gcs_j_broadcast, gcs_i);
-    cb(decay_mask, "decay_mask", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-    decay_mask = ggml_exp(ctx0, decay_mask);
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-
-    ggml_tensor * kmulkbeta = ggml_mul_mat(ctx0, k, k_beta);
-
-    ggml_tensor * k_decay = ggml_mul(ctx0, kmulkbeta, decay_mask);
-    ggml_tensor * attn    = ggml_neg(ctx0, ggml_mul(ctx0, k_decay, causal_mask));
-    cb(attn, "attn_pre_solve", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * attn_lower = ggml_mul(ctx0, attn, causal_mask);
-    ggml_tensor * lhs        = ggml_sub(ctx0, ggml_repeat(ctx0, identity, attn_lower), attn_lower);
-
-    ggml_tensor * lin_solve  = ggml_solve_tri(ctx0, lhs, attn, true, true, false);
-    attn                     = ggml_mul(ctx0, lin_solve, causal_mask);
-    attn                     = ggml_add(ctx0, attn, identity);
-    cb(attn, "attn_solved", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    v = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, v_beta)), attn);
-
-    ggml_tensor * g_cumsum_t = ggml_cont(ctx0, ggml_transpose(ctx0, g_cumsum));
-    ggml_tensor * gexp       = ggml_exp(ctx0, g_cumsum_t);
-
-    ggml_tensor * kbeta_gexp = ggml_mul(ctx0, k_beta, gexp);
-    cb(kbeta_gexp, "kbeta_gexp", il); // shape: (S_k, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * k_cumdecay =
-        ggml_cont(ctx0, ggml_transpose(ctx0, ggml_mul_mat(ctx0, attn, ggml_cont(ctx0, ggml_transpose(ctx0, kbeta_gexp)))));
-    cb(k_cumdecay, "k_cumdecay", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * attn_kq = ggml_mul_mat(ctx0, k, q);
-    attn_kq = ggml_mul(ctx0, attn_kq, decay_mask);
-    attn_kq = ggml_mul(ctx0, attn_kq, diag_mask);
-    cb(attn_kq, "attn_kq", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-
-    // vectorized calculation of key_gdiff
-    // improved from the chunked version:
-    //   g_last = torch.clamp(g_cum[:, :, -1], max=50.0).exp().unsqueeze(-1).unsqueeze(-1)
-    //   g_diff = torch.clamp(g_cum[:, :, -1:] - g_cum, max=50.0).exp()
-    //   key_gdiff = key * g_diff.unsqueeze(-1)
-    //   kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
-    //   last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
-
-    // get last element in g_cumsum along chunk_size dimension (ne0)
-    // example: [[x, y, z, ..., last], ...] -> [[last], ...]
-    ggml_tensor * g_last = ggml_view_4d(ctx0, g_cumsum, 1, 1, g_cumsum->ne[2], g_cumsum->ne[3],
-                                        g_cumsum->nb[1], g_cumsum->nb[2], g_cumsum->nb[3],
-                                        (g_cumsum->ne[0] - 1) * ggml_element_size(g_cumsum));
-    g_last = ggml_cont(ctx0, g_last);
-    cb(g_last, "g_last", il); // shape: (1, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_last_exp = ggml_exp(ctx0, g_last);
-    cb(g_last_exp, "g_last_exp", il); // shape: (1, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_diff = ggml_neg(ctx0, ggml_sub(ctx0, g_cumsum, g_last));
-    cb(g_diff, "g_diff", il); // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_diff_exp = ggml_exp(ctx0, g_diff);
-    ggml_tensor * g_diff_exp_t = ggml_reshape_4d(ctx0, g_diff_exp,
-                                                 1, chunk_size, n_chunks, g_diff_exp->ne[3]);
-
-    ggml_tensor * key_gdiff = ggml_mul(ctx0, k, g_diff_exp_t);
-    cb(key_gdiff, "key_gdiff", il); // shape: (S_k, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * key_gdiff_t = ggml_cont(ctx0, ggml_transpose(ctx0, key_gdiff));
-    cb(key_gdiff_t, "key_gdiff_t", il); // shape: (chunk_size, S_k, n_chunks, H_v * n_seqs)
-
-    // state to be updated per chunk
-    ggml_tensor * new_state = state; // ggml_dup(ctx0, state);
-    cb(new_state, "new_state", il); // shape: (S_v, S_v, H_v, n_seqs)
-
-    // shape after loop of chunks: (S_v, chunk_size, n_chunks, H_v * n_seqs)
-    ggml_tensor * core_attn_out = nullptr;
-
-    for (int64_t chunk = 0; chunk < n_chunks; chunk++) {
-        // shape: (S_k, chunk_size, 1, H_k * n_seqs)
-        ggml_tensor * q_chunk = get_slice_2d(ctx0, q, chunk); // (no cont), next op: ggml_mul
-
-        // shape: (S_v, chunk_size, 1, H_v * n_seqs)
-        ggml_tensor * v_chunk = get_slice_2d(ctx0, v, chunk); // (no cont), next op: ggml_repeat
-
-        // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-        ggml_tensor * gexp_chunk = get_slice_2d(ctx0, gexp, chunk); // (no cont), next op: ggml_mul
-
-        // shape: (chunk_size, 1, H_v * n_seqs)
-        ggml_tensor * k_cumdecay_chunk = get_slice_2d(ctx0, k_cumdecay, chunk); // (no cont), next op: ggml_mul_mat
-
-        // attn = (q_i @ k_i.transpose(-1, -2) * decay_mask[:, :, i]).masked_fill_(mask, 0)
-        // replaced by precomputed attn_kq
-        ggml_tensor * attn_chunk = get_slice_2d(ctx0, attn_kq, chunk);
-        cb(attn_chunk, "attn_chunk", il);
-
-        ggml_tensor * state_t = ggml_cont_4d(ctx0, ggml_permute(ctx0, new_state, 1, 0, 2, 3), S_v, S_v, 1, H_v * n_seqs);
-
-        // v_prime = (k_cumdecay[:, :, i]) @ last_recurrent_state
-        ggml_tensor * v_prime = ggml_mul_mat(ctx0, state_t, k_cumdecay_chunk);
-        cb(v_prime, "v_prime_chunk", il); // shape: (S_v, 1, H_v * n_seqs)
-
-        // v_new = v_i - v_prime
-        ggml_tensor * v_new = ggml_sub(ctx0, ggml_repeat(ctx0, v_chunk, v_prime), v_prime);
-        ggml_tensor * v_new_t = ggml_cont(ctx0, ggml_transpose(ctx0, v_new));
-        cb(v_new, "v_new_chunk", il);
-
-        // attn_inter = (q_i * g[:, :, i, :, None].exp()) @ last_recurrent_state
-        ggml_tensor * q_g_exp    = ggml_mul(ctx0, q_chunk, gexp_chunk);
-        ggml_tensor * attn_inter = ggml_mul_mat(ctx0, state_t, q_g_exp);
-        cb(attn_inter, "attn_inter_chunk", il);
-
-        // core_attn_out[:, :, i] = attn_inter + attn @ v_new
-        ggml_tensor * v_attn = ggml_mul_mat(ctx0, v_new_t, attn_chunk);
-        cb(v_attn, "v_attn_chunk", il);
-
-        ggml_tensor * core_attn_out_chunk = ggml_add(ctx0, attn_inter, v_attn);
-        cb(core_attn_out_chunk, "core_attn_out_chunk", il); // shape: (S_v, chunk_size, 1, H_v * n_seqs)
-
-        core_attn_out = core_attn_out == nullptr
-            ? core_attn_out_chunk
-            : ggml_concat(ctx0, core_attn_out, core_attn_out_chunk, 2);
-
-        // kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
-        ggml_tensor * k_gdiff_t = get_slice_2d(ctx0, key_gdiff_t, chunk);
-        //ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, k_gdiff, v_new); // this is slower on metal, why?
-        ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, v_new_t, k_gdiff_t);
-
-        // last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
-        ggml_tensor * gexp_last_chunk = ggml_cont(ctx0, get_slice_2d(ctx0, g_last_exp, chunk));
-        new_state = ggml_add(ctx0,
-            ggml_mul(ctx0, new_state, ggml_reshape_4d(ctx0, gexp_last_chunk, gexp_last_chunk->ne[0], gexp_last_chunk->ne[1], H_v, n_seqs)),
-            ggml_reshape_4d(ctx0, kgdmulvnew, kgdmulvnew->ne[0], kgdmulvnew->ne[1], H_v, n_seqs));
-    }
-
-    // truncate padded tokens
-    ggml_tensor * output_tokens = ggml_view_4d(ctx0, core_attn_out,
-            S_v, n_tokens, H_v, n_seqs,
-            ggml_row_size(core_attn_out->type, S_v),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks * H_v), 0);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-    cb(output_tokens, "output_tokens", il);
-
-    // permute back to (S_v, H_v, n_tokens, n_seqs)
-    output_tokens = ggml_permute(ctx0, output_tokens, 0, 2, 1, 3);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-
-    return {output_tokens, new_state};
-}
-
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35::build_delta_net_autoregressive(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * g,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        int           il) {
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(n_tokens == 1);  // This function is optimized for single token processing
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q    = ggml_scale(ctx0, q, scale);
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(g, "g_in", il);
-
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    ggml_tensor * g_t    = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, g), 1, 1, H_k, n_seqs);
-    ggml_tensor * beta_t = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, beta), 1, 1, H_k, n_seqs);
-
-    // Apply exponential to g_t
-    g_t = ggml_exp(ctx0, g_t);
-
-    // Apply the gated delta rule for the single timestep
-    // last_recurrent_state = last_recurrent_state * g_t
-    state = ggml_mul(ctx0, state, g_t);
-
-    // kv_mem = (last_recurrent_state * k_t.unsqueeze(-1)).sum(dim=-2)
-    ggml_tensor * k_t_unsqueezed = ggml_reshape_4d(ctx0, k, 1, S_v, H_v, n_seqs);
-    ggml_tensor * kv_mem         = ggml_mul(ctx0, state, k_t_unsqueezed);
-    // we need to sum over dim=-2, so we transpose, sum, then transpose again
-    kv_mem = ggml_transpose(ctx0, ggml_sum_rows(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, kv_mem))));
-
-    // v_t = v.unsqueeze(2) (we insert the singleton dimension after n_seqs and H_v)
-    ggml_tensor * v_t    = ggml_reshape_4d(ctx0, v, S_v, 1, H_v, n_seqs);
-    // delta = (v_t - kv_mem) * beta_t
-    ggml_tensor * v_diff = ggml_sub(ctx0, v_t, kv_mem);  // both should be [S_v, 1, H_v, n_seqs]
-    ggml_tensor * delta  = ggml_mul(ctx0, v_diff, beta_t);
-
-    // last_recurrent_state = last_recurrent_state + k_t.unsqueeze(-1) * delta
-    ggml_tensor * k_t_delta = ggml_mul(ctx0, ggml_repeat_4d(ctx0, k_t_unsqueezed, S_v, S_v, H_v, n_seqs), delta);
-    state                   = ggml_add(ctx0, state, k_t_delta);
-
-    // Compute the attention output
-    // core_attn_out = (last_recurrent_state * q_t.unsqueeze(-1)).sum(dim=-2)
-    ggml_tensor * q_t_unsqueezed = ggml_reshape_4d(ctx0, q, 1, S_v, H_v, n_seqs);  // unsqueeze q_t
-    ggml_tensor * state_q        = ggml_mul(ctx0, state, q_t_unsqueezed);
-    // again, since it's over dim = -2, transpose, sum, transpose back
-    ggml_tensor * core_attn_out =
-        ggml_transpose(ctx0, ggml_sum_rows(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, state_q))));
-
-    // core_attn_out should be [S_v, 1, H_v, n_seqs] after this
-    cb(core_attn_out, "output_tokens", il);
-    cb(state, "new_state", il);
-
-    return {core_attn_out, state};
-}
-
 std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35::build_qkvz(
                 ggml_tensor * input,
                         int   il) {
@@ -482,8 +117,8 @@ ggml_tensor * llm_build_qwen35::build_layer_attn(
         ggml_tensor *             inp_pos,
         int *                     sections,
         int                       il) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     // Order: joint QG projection, QG split, Q norm, KV projection, K norm, RoPE, attention
 
@@ -560,9 +195,6 @@ ggml_tensor * llm_build_qwen35::build_layer_attn(
 ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
         llm_graph_input_rs * inp,
         ggml_tensor *        cur,
-        ggml_tensor *        causal_mask,
-        ggml_tensor *        identity,
-        ggml_tensor *        diag_mask,
         int                  il) {
     const auto * mctx_cur = inp->mctx;
 
@@ -586,8 +218,11 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     ggml_tensor * z         = qkvz.second;
 
     ggml_tensor * beta = build_lora_mm(model.layers[il].ssm_beta, cur);
-    beta  = ggml_reshape_4d(ctx0, beta, num_v_heads, 1, n_seq_tokens, n_seqs);
+    beta = ggml_reshape_4d(ctx0, beta, 1, num_v_heads, n_seq_tokens, n_seqs);
     cb(beta, "beta", il);
+
+    beta = ggml_sigmoid(ctx0, beta);
+
     ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur);
     alpha = ggml_cont_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs);
     cb(alpha, "alpha", il);
@@ -595,15 +230,16 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     ggml_tensor * alpha_biased   = ggml_add(ctx0, alpha, model.layers[il].ssm_dt);
     ggml_tensor * alpha_softplus = ggml_softplus(ctx0, alpha_biased);
     cb(alpha_softplus, "a_softplus", il);
+
     ggml_tensor * gate = ggml_mul(ctx0, alpha_softplus, model.layers[il].ssm_a);  // -A_log.exp() * softplus
     cb(gate, "gate", il);
 
+    gate = ggml_reshape_4d(ctx0, gate, 1, num_v_heads, n_seq_tokens, n_seqs);
+
     // Get convolution states from cache
     ggml_tensor * conv_states_all = mctx_cur->get_r_l(il);
     ggml_tensor * ssm_states_all  = mctx_cur->get_s_l(il);
 
-    // bool use_precomputed_states = n_seq_tokens == 1 && mctx_cur->has_previous_state();
-
     // Build the convolution states tensor
     ggml_tensor * conv_states = build_rs(inp, conv_states_all, hparams.n_embd_r(), n_seqs);
     cb(conv_states, "conv_states", il);
@@ -612,11 +248,12 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     ggml_tensor * conv_kernel      = model.layers[il].ssm_conv1d;
     const int64_t conv_kernel_size = conv_kernel->ne[0];
     const int64_t conv_channels    = d_inner + 2 * hparams.ssm_n_group * hparams.ssm_d_state;
-    conv_states                    = ggml_reshape_3d(ctx0, conv_states, conv_kernel_size - 1, conv_channels, n_seqs);
+
+    conv_states = ggml_reshape_3d(ctx0, conv_states, conv_kernel_size - 1, conv_channels, n_seqs);
     cb(conv_states, "conv_states_reshaped", il);
 
-    qkv_mixed = ggml_permute(ctx0, qkv_mixed, 1, 0, 2, 3);
-    cb(qkv_mixed, "qkv_mixed_permuted", il);
+    qkv_mixed = ggml_transpose(ctx0, qkv_mixed);
+    cb(qkv_mixed, "qkv_mixed_transposed", il);
 
     ggml_tensor * conv_input = ggml_concat(ctx0, conv_states, qkv_mixed, 0);
     cb(conv_input, "conv_input", il);
@@ -634,9 +271,11 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(state_update_target, "state_update_target", il);
 
     ggml_build_forward_expand(gf, ggml_cpy(ctx0, last_conv_states, state_update_target));
-    cb(conv_states_all, "conv_states_updated", il);
 
-    // Apply SSM convolution
+    ggml_tensor * state = build_rs(inp, ssm_states_all, hparams.n_embd_s(), n_seqs);
+    state = ggml_reshape_4d(ctx0, state, head_v_dim, head_v_dim, num_v_heads, n_seqs);
+    cb(state, "state_predelta", il);
+
     ggml_tensor * conv_output_proper = ggml_ssm_conv(ctx0, conv_input, conv_kernel);
     cb(conv_output_proper, "conv_output_raw", il);
 
@@ -650,30 +289,40 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     int64_t nb1_qkv = ggml_row_size(conv_qkv_mix->type, qkv_dim);
 
     // Extract the convolved Q, K, V from conv_output
-    ggml_tensor * q_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_k_dim * num_k_heads, n_seq_tokens * n_seqs, nb1_qkv, 0);
+    ggml_tensor * q_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_k_dim, num_k_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_k_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            0);
+
+    ggml_tensor * k_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_k_dim, num_k_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_k_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
+
+    ggml_tensor * v_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_v_dim, num_v_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_v_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            ggml_row_size(conv_qkv_mix->type, 2 * head_k_dim * num_k_heads));
+
     cb(q_conv, "q_conv", il);
-    ggml_tensor * k_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_k_dim * num_k_heads, n_seq_tokens * n_seqs, nb1_qkv,
-                     head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
     cb(k_conv, "k_conv", il);
-    ggml_tensor * v_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_v_dim * num_v_heads, n_seq_tokens * n_seqs, nb1_qkv,
-                     2 * head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
     cb(v_conv, "v_conv", il);
 
-    // Unsqueeze them
-    q_conv = ggml_cont_4d(ctx0, q_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
-    k_conv = ggml_cont_4d(ctx0, k_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
-    v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
+    const float eps_norm = hparams.f_norm_rms_eps;
 
-    ggml_tensor * state = build_rs(inp, ssm_states_all, hparams.n_embd_s(), n_seqs);
-    state               = ggml_reshape_4d(ctx0, state, head_v_dim, head_v_dim * num_v_heads, 1, n_seqs);
-    cb(state, "state_predelta", il);
+    q_conv = ggml_l2_norm(ctx0, q_conv, eps_norm);
+    k_conv = ggml_l2_norm(ctx0, k_conv, eps_norm);
+
+    //q_conv = ggml_cont_4d(ctx0, q_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
+    //k_conv = ggml_cont_4d(ctx0, k_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
+    //v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
 
-    // if head keys and value keys are different, repeat Q/K to match V's head count
-    // V heads are in tiled order (from conversion), so simple tiled repeat works
-    if (num_k_heads != num_v_heads) {
+    // if head keys and value keys are different, repeat to force tensors into matching shapes
+    // note: need explicit repeat only if we are not using the fused GDN
+    if (num_k_heads != num_v_heads && (!cparams.fused_gdn_ar || !cparams.fused_gdn_ch)) {
         GGML_ASSERT(num_v_heads % num_k_heads == 0);
         q_conv = ggml_repeat_4d(ctx0, q_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs);
         k_conv = ggml_repeat_4d(ctx0, k_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs);
@@ -683,13 +332,8 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(k_conv, "k_conv_predelta", il);
     cb(v_conv, "v_conv_predelta", il);
 
-    // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens
-    std::pair<ggml_tensor *, ggml_tensor *> attn_out; // pair of (output, new_state)
-    if (n_seq_tokens == 1) {
-        attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il);
-    } else {
-        attn_out = build_delta_net_chunking(q_conv, k_conv, v_conv, gate, beta, state, causal_mask, identity, diag_mask, il);
-    }
+    auto attn_out = build_delta_net(q_conv, k_conv, v_conv, gate, beta, state, il);
+
     ggml_tensor * output    = attn_out.first;
     ggml_tensor * new_state = attn_out.second;
     cb(output, "attn_output", il);
@@ -697,19 +341,15 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
 
     // Update the recurrent states
     ggml_build_forward_expand(gf,
-                              ggml_cpy(ctx0, new_state,
-                                       ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
-                                                    kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
-
-    // Reshape both attn_out_final and z to 2D tensors for normalization
-    // attn_out_final: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
-    ggml_tensor * attn_out_2d_final = ggml_reshape_2d(ctx0, output, head_v_dim, num_v_heads * n_seq_tokens * n_seqs);
+            ggml_cpy(ctx0, new_state,
+                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                    kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
-    ggml_tensor * z_2d = ggml_reshape_2d(ctx0, z, head_v_dim, num_v_heads * n_seq_tokens * n_seqs);
+    ggml_tensor * z_2d = ggml_reshape_4d(ctx0, z, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
 
     // Apply gated normalization: self.norm(core_attn_out, z)
-    ggml_tensor * attn_out_norm = build_norm_gated(attn_out_2d_final, model.layers[il].ssm_norm, z_2d, il);
+    ggml_tensor * attn_out_norm = build_norm_gated(output, model.layers[il].ssm_norm, z_2d, il);
 
     // Final reshape: [head_dim, n_heads, n_tokens, n_seqs] -> [n_tokens, n_seqs, n_heads * head_dim]
     ggml_tensor * final_output = ggml_reshape_3d(ctx0, attn_out_norm, head_v_dim * num_v_heads, n_seq_tokens, n_seqs);
@@ -720,7 +360,8 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(cur, "linear_attn_out", il);
 
     // Reshape back to original dimensions
-    cur = ggml_cont_2d(ctx0, cur, n_embd, n_seq_tokens * n_seqs);
+    cur = ggml_reshape_2d(ctx0, cur, n_embd, n_seq_tokens * n_seqs);
+
     return cur;
 }
 
diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp
index 0db8f825c67..8d07c7ed275 100644
--- a/src/models/qwen35moe.cpp
+++ b/src/models/qwen35moe.cpp
@@ -1,13 +1,12 @@
-#include "ggml.h"
 #include "models.h"
 
-#define CHUNK_SIZE 64
+#include "llama-memory-recurrent.h"
 
 llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params), model(model) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    llm_build_delta_net_base(params), model(model) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     int sections[4];
     std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
@@ -24,27 +23,18 @@ llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_gr
     ggml_tensor * inp_pos     = build_inp_pos();
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
-    ggml_tensor * causal_mask =
-        ggml_tri(ctx0, ggml_fill(ctx0, ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, CHUNK_SIZE, CHUNK_SIZE), 1.0f),
-                    GGML_TRI_TYPE_LOWER);
-
-    ggml_tensor * identity = ggml_diag(ctx0, ggml_fill(ctx0, ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, CHUNK_SIZE), 1.0f));
-    ggml_tensor * diag_mask = ggml_add(ctx0, causal_mask, identity);
-
-    ggml_build_forward_expand(gf, causal_mask);
-    ggml_build_forward_expand(gf, identity);
-    ggml_build_forward_expand(gf, diag_mask);
-
     for (int il = 0; il < n_layer; ++il) {
         ggml_tensor * inpSA = inpL;
 
         cur = build_norm(inpL, model.layers[il].attn_norm, nullptr, LLM_NORM_RMS, il);
         cb(cur, "attn_norm", il);
 
+        ggml_build_forward_expand(gf, cur);
+
         // Determine layer type and build appropriate attention mechanism
         if (hparams.is_recurrent(il)) {
             // Linear attention layer (gated delta net)
-            cur = build_layer_attn_linear(inp->get_recr(), cur, causal_mask, identity, diag_mask, il);
+            cur = build_layer_attn_linear(inp->get_recr(), cur, il);
         } else {
             // Full attention layer
             cur = build_layer_attn(inp->get_attn(), cur, inp_pos, sections, il);
@@ -94,362 +84,6 @@ llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_gr
     ggml_build_forward_expand(gf, cur);
 }
 
-// utility to get one slice from the third dimension
-// input dim:  [x, y, c, b]
-// output dim: [x, y, 1, b]
-static ggml_tensor * get_slice_2d(ggml_context * ctx0, ggml_tensor * t, int64_t c) {
-    return ggml_view_4d(ctx0, t, t->ne[0], t->ne[1], 1, t->ne[3],
-        t->nb[1], t->nb[2], t->nb[3], t->nb[2] * c);
-}
-
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35moe::build_delta_net_chunking(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * g,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        ggml_tensor * causal_mask,
-        ggml_tensor * identity,
-        ggml_tensor * diag_mask,
-        int           il) {
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q = ggml_scale(ctx0, q, scale);
-
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(g, "g_in", il);
-
-    q = ggml_cont_4d(ctx0, ggml_permute(ctx0, q, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    k = ggml_cont_4d(ctx0, ggml_permute(ctx0, k, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    v = ggml_cont_4d(ctx0, ggml_permute(ctx0, v, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    g = ggml_cont_4d(ctx0, ggml_permute(ctx0, g, 2, 0, 3, 1), n_tokens, 1, H_k, n_seqs);
-
-    beta  = ggml_cont(ctx0, ggml_permute(ctx0, beta, 2, 0, 1, 3));
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    cb(q, "q_perm", il);
-    cb(k, "k_perm", il);
-    cb(v, "v_perm", il);
-    cb(beta, "beta_perm", il);
-    cb(g, "g_perm", il);
-    cb(state, "state_in", il);
-
-    GGML_ASSERT(q->ne[1] == n_tokens && q->ne[0] == S_k && q->ne[2] == H_k && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[1] == n_tokens && k->ne[0] == S_k && k->ne[2] == H_k && k->ne[3] == n_seqs);
-    GGML_ASSERT(v->ne[1] == n_tokens && v->ne[0] == S_v && v->ne[2] == H_k && v->ne[3] == n_seqs);
-    GGML_ASSERT(beta->ne[1] == n_tokens && beta->ne[2] == H_k && beta->ne[0] == 1 && beta->ne[3] == n_seqs);
-
-    // Do padding
-    const int64_t chunk_size = CHUNK_SIZE;
-
-    const int64_t pad = (chunk_size - n_tokens % chunk_size) % chunk_size;
-    const int64_t n_chunks = (n_tokens + pad) / chunk_size;
-
-    q = ggml_pad(ctx0, q, 0, pad, 0, 0);
-    k = ggml_pad(ctx0, k, 0, pad, 0, 0);
-    v = ggml_pad(ctx0, v, 0, pad, 0, 0);
-    g = ggml_pad(ctx0, g, pad, 0, 0, 0);
-    beta = ggml_pad(ctx0, beta, 0, pad, 0, 0);
-
-    cb(q, "q_pad", il);
-    cb(k, "k_pad", il);
-    cb(v, "v_pad", il);
-    cb(beta, "beta_pad", il);
-    cb(g, "g_pad", il);
-
-    ggml_tensor * v_beta = ggml_mul(ctx0, v, beta);
-    ggml_tensor * k_beta = ggml_mul(ctx0, k, beta);
-
-    cb(v_beta, "v_beta", il);
-    cb(k_beta, "k_beta", il);
-
-    q      = ggml_reshape_4d(ctx0, q,      S_k, chunk_size, n_chunks, H_k * n_seqs);
-    k      = ggml_reshape_4d(ctx0, k,      S_k, chunk_size, n_chunks, H_k * n_seqs);
-    k_beta = ggml_reshape_4d(ctx0, k_beta, S_k, chunk_size, n_chunks, H_k * n_seqs);
-    v      = ggml_reshape_4d(ctx0, v,      S_v, chunk_size, n_chunks, H_v * n_seqs);
-    v_beta = ggml_reshape_4d(ctx0, v_beta, S_v, chunk_size, n_chunks, H_v * n_seqs);
-
-    g    = ggml_reshape_4d(ctx0, g, chunk_size, 1, n_chunks, H_k * n_seqs);
-    beta = ggml_reshape_4d(ctx0, beta, 1, chunk_size, n_chunks, H_k * n_seqs);
-
-    ggml_tensor * g_cumsum = ggml_cumsum(ctx0, g);
-    cb(g_cumsum, "g_cumsum", il); // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * gcs_i = g_cumsum; // ggml_reshape_4d(ctx0, g_cumsum, chunk_size, 1, n_chunks, H_v * n_seqs);
-    ggml_tensor * gcs_j = ggml_reshape_4d(ctx0, g_cumsum, 1, chunk_size, n_chunks, H_v * n_seqs);
-
-    ggml_tensor * gcs_j_broadcast =
-        ggml_repeat_4d(ctx0, gcs_j, chunk_size, chunk_size, n_chunks, H_v * n_seqs);
-
-    ggml_tensor * decay_mask = ggml_sub(ctx0, gcs_j_broadcast, gcs_i);
-    cb(decay_mask, "decay_mask", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-    decay_mask = ggml_exp(ctx0, decay_mask);
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-
-    ggml_tensor * kmulkbeta = ggml_mul_mat(ctx0, k, k_beta);
-
-    ggml_tensor * k_decay = ggml_mul(ctx0, kmulkbeta, decay_mask);
-    ggml_tensor * attn    = ggml_neg(ctx0, ggml_mul(ctx0, k_decay, causal_mask));
-    cb(attn, "attn_pre_solve", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * attn_lower = ggml_mul(ctx0, attn, causal_mask);
-    ggml_tensor * lhs        = ggml_sub(ctx0, ggml_repeat(ctx0, identity, attn_lower), attn_lower);
-
-    ggml_tensor * lin_solve  = ggml_solve_tri(ctx0, lhs, attn, true, true, false);
-    attn                     = ggml_mul(ctx0, lin_solve, causal_mask);
-    attn                     = ggml_add(ctx0, attn, identity);
-    cb(attn, "attn_solved", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    v = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, v_beta)), attn);
-
-    ggml_tensor * g_cumsum_t = ggml_cont(ctx0, ggml_transpose(ctx0, g_cumsum));
-    ggml_tensor * gexp       = ggml_exp(ctx0, g_cumsum_t);
-
-    ggml_tensor * kbeta_gexp = ggml_mul(ctx0, k_beta, gexp);
-    cb(kbeta_gexp, "kbeta_gexp", il); // shape: (S_k, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * k_cumdecay =
-        ggml_cont(ctx0, ggml_transpose(ctx0, ggml_mul_mat(ctx0, attn, ggml_cont(ctx0, ggml_transpose(ctx0, kbeta_gexp)))));
-    cb(k_cumdecay, "k_cumdecay", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * attn_kq = ggml_mul_mat(ctx0, k, q);
-    attn_kq = ggml_mul(ctx0, attn_kq, decay_mask);
-    attn_kq = ggml_mul(ctx0, attn_kq, diag_mask);
-    cb(attn_kq, "attn_kq", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-
-    // vectorized calculation of key_gdiff
-    // improved from the chunked version:
-    //   g_last = torch.clamp(g_cum[:, :, -1], max=50.0).exp().unsqueeze(-1).unsqueeze(-1)
-    //   g_diff = torch.clamp(g_cum[:, :, -1:] - g_cum, max=50.0).exp()
-    //   key_gdiff = key * g_diff.unsqueeze(-1)
-    //   kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
-    //   last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
-
-    // get last element in g_cumsum along chunk_size dimension (ne0)
-    // example: [[x, y, z, ..., last], ...] -> [[last], ...]
-    ggml_tensor * g_last = ggml_view_4d(ctx0, g_cumsum, 1, 1, g_cumsum->ne[2], g_cumsum->ne[3],
-                                        g_cumsum->nb[1], g_cumsum->nb[2], g_cumsum->nb[3],
-                                        (g_cumsum->ne[0] - 1) * ggml_element_size(g_cumsum));
-    g_last = ggml_cont(ctx0, g_last);
-    cb(g_last, "g_last", il); // shape: (1, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_last_exp = ggml_exp(ctx0, g_last);
-    cb(g_last_exp, "g_last_exp", il); // shape: (1, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_diff = ggml_neg(ctx0, ggml_sub(ctx0, g_cumsum, g_last));
-    cb(g_diff, "g_diff", il); // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_diff_exp = ggml_exp(ctx0, g_diff);
-    ggml_tensor * g_diff_exp_t = ggml_reshape_4d(ctx0, g_diff_exp,
-                                                 1, chunk_size, n_chunks, g_diff_exp->ne[3]);
-
-    ggml_tensor * key_gdiff = ggml_mul(ctx0, k, g_diff_exp_t);
-    cb(key_gdiff, "key_gdiff", il); // shape: (S_k, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * key_gdiff_t = ggml_cont(ctx0, ggml_transpose(ctx0, key_gdiff));
-    cb(key_gdiff_t, "key_gdiff_t", il); // shape: (chunk_size, S_k, n_chunks, H_v * n_seqs)
-
-
-    // state to be updated per chunk
-    ggml_tensor * new_state = state; // ggml_dup(ctx0, state);
-    cb(new_state, "new_state", il); // shape: (S_v, S_v, H_v, n_seqs)
-
-    // shape after loop of chunks: (S_v, chunk_size, n_chunks, H_v * n_seqs)
-    ggml_tensor * core_attn_out = nullptr;
-
-    for (int64_t chunk = 0; chunk < n_chunks; chunk++) {
-        // shape: (S_k, chunk_size, 1, H_k * n_seqs)
-        ggml_tensor * q_chunk = get_slice_2d(ctx0, q, chunk); // (no cont), next op: ggml_mul
-
-        // shape: (S_v, chunk_size, 1, H_v * n_seqs)
-        ggml_tensor * v_chunk = get_slice_2d(ctx0, v, chunk); // (no cont), next op: ggml_repeat
-
-        // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-        ggml_tensor * gexp_chunk = get_slice_2d(ctx0, gexp, chunk); // (no cont), next op: ggml_mul
-
-        // shape: (chunk_size, 1, H_v * n_seqs)
-        ggml_tensor * k_cumdecay_chunk = get_slice_2d(ctx0, k_cumdecay, chunk); // (no cont), next op: ggml_mul_mat
-
-        // attn = (q_i @ k_i.transpose(-1, -2) * decay_mask[:, :, i]).masked_fill_(mask, 0)
-        // replaced by precomputed attn_kq
-        ggml_tensor * attn_chunk = get_slice_2d(ctx0, attn_kq, chunk);
-        cb(attn_chunk, "attn_chunk", il);
-
-        ggml_tensor * state_t = ggml_cont_4d(ctx0, ggml_permute(ctx0, new_state, 1, 0, 2, 3), S_v, S_v, 1, H_v * n_seqs);
-
-        // v_prime = (k_cumdecay[:, :, i]) @ last_recurrent_state
-        ggml_tensor * v_prime = ggml_mul_mat(ctx0, state_t, k_cumdecay_chunk);
-        cb(v_prime, "v_prime_chunk", il); // shape: (S_v, 1, H_v * n_seqs)
-
-        // v_new = v_i - v_prime
-        ggml_tensor * v_new = ggml_sub(ctx0, ggml_repeat(ctx0, v_chunk, v_prime), v_prime);
-        ggml_tensor * v_new_t = ggml_cont(ctx0, ggml_transpose(ctx0, v_new));
-        cb(v_new, "v_new_chunk", il);
-
-        // attn_inter = (q_i * g[:, :, i, :, None].exp()) @ last_recurrent_state
-        ggml_tensor * q_g_exp    = ggml_mul(ctx0, q_chunk, gexp_chunk);
-        ggml_tensor * attn_inter = ggml_mul_mat(ctx0, state_t, q_g_exp);
-        cb(attn_inter, "attn_inter_chunk", il);
-
-        // core_attn_out[:, :, i] = attn_inter + attn @ v_new
-        ggml_tensor * v_attn = ggml_mul_mat(ctx0, v_new_t, attn_chunk);
-        cb(v_attn, "v_attn_chunk", il);
-
-        ggml_tensor * core_attn_out_chunk = ggml_add(ctx0, attn_inter, v_attn);
-        cb(core_attn_out_chunk, "core_attn_out_chunk", il); // shape: (S_v, chunk_size, 1, H_v * n_seqs)
-
-        core_attn_out = core_attn_out == nullptr
-            ? core_attn_out_chunk
-            : ggml_concat(ctx0, core_attn_out, core_attn_out_chunk, 2);
-
-        // kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
-        ggml_tensor * k_gdiff_t = get_slice_2d(ctx0, key_gdiff_t, chunk);
-        //ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, k_gdiff, v_new); // this is slower on metal, why?
-        ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, v_new_t, k_gdiff_t);
-
-        // last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
-        ggml_tensor * gexp_last_chunk = ggml_cont(ctx0, get_slice_2d(ctx0, g_last_exp, chunk));
-        new_state = ggml_add(ctx0,
-            ggml_mul(ctx0, new_state, ggml_reshape_4d(ctx0, gexp_last_chunk, gexp_last_chunk->ne[0], gexp_last_chunk->ne[1], H_v, n_seqs)),
-            ggml_reshape_4d(ctx0, kgdmulvnew, kgdmulvnew->ne[0], kgdmulvnew->ne[1], H_v, n_seqs));
-    }
-
-    // truncate padded tokens
-    ggml_tensor * output_tokens = ggml_view_4d(ctx0, core_attn_out,
-            S_v, n_tokens, H_v, n_seqs,
-            ggml_row_size(core_attn_out->type, S_v),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks * H_v), 0);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-    cb(output_tokens, "output_tokens", il);
-
-    // permute back to (S_v, H_v, n_tokens, n_seqs)
-    output_tokens = ggml_permute(ctx0, output_tokens, 0, 2, 1, 3);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-
-    return {output_tokens, new_state};
-}
-
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35moe::build_delta_net_autoregressive(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * g,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        int           il) {
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(n_tokens == 1);  // This function is optimized for single token processing
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q    = ggml_scale(ctx0, q, scale);
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(g, "g_in", il);
-
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    ggml_tensor * g_t    = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, g), 1, 1, H_k, n_seqs);
-    ggml_tensor * beta_t = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, beta), 1, 1, H_k, n_seqs);
-
-    // Apply exponential to g_t
-    g_t = ggml_exp(ctx0, g_t);
-
-    // Apply the gated delta rule for the single timestep
-    // last_recurrent_state = last_recurrent_state * g_t
-    state = ggml_mul(ctx0, state, g_t);
-
-    // kv_mem = (last_recurrent_state * k_t.unsqueeze(-1)).sum(dim=-2)
-    ggml_tensor * k_t_unsqueezed = ggml_reshape_4d(ctx0, k, 1, S_v, H_v, n_seqs);
-    ggml_tensor * kv_mem         = ggml_mul(ctx0, state, k_t_unsqueezed);
-    // we need to sum over dim=-2, so we transpose, sum, then transpose again
-    kv_mem = ggml_transpose(ctx0, ggml_sum_rows(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, kv_mem))));
-
-    // v_t = v.unsqueeze(2) (we insert the singleton dimension after n_seqs and H_v)
-    ggml_tensor * v_t    = ggml_reshape_4d(ctx0, v, S_v, 1, H_v, n_seqs);
-    // delta = (v_t - kv_mem) * beta_t
-    ggml_tensor * v_diff = ggml_sub(ctx0, v_t, kv_mem);  // both should be [S_v, 1, H_v, n_seqs]
-    ggml_tensor * delta  = ggml_mul(ctx0, v_diff, beta_t);
-
-    // last_recurrent_state = last_recurrent_state + k_t.unsqueeze(-1) * delta
-    ggml_tensor * k_t_delta = ggml_mul(ctx0, ggml_repeat_4d(ctx0, k_t_unsqueezed, S_v, S_v, H_v, n_seqs), delta);
-    state                   = ggml_add(ctx0, state, k_t_delta);
-
-    // Compute the attention output
-    // core_attn_out = (last_recurrent_state * q_t.unsqueeze(-1)).sum(dim=-2)
-    ggml_tensor * q_t_unsqueezed = ggml_reshape_4d(ctx0, q, 1, S_v, H_v, n_seqs);  // unsqueeze q_t
-    ggml_tensor * state_q        = ggml_mul(ctx0, state, q_t_unsqueezed);
-    // again, since it's over dim = -2, transpose, sum, transpose back
-    ggml_tensor * core_attn_out =
-        ggml_transpose(ctx0, ggml_sum_rows(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, state_q))));
-
-    // core_attn_out should be [S_v, 1, H_v, n_seqs] after this
-    cb(core_attn_out, "output_tokens", il);
-    cb(state, "new_state", il);
-
-    return {core_attn_out, state};
-}
-
 std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35moe::build_qkvz(
                 ggml_tensor * input,
                         int   il) {
@@ -483,8 +117,8 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn(
         ggml_tensor *             inp_pos,
         int *                     sections,
         int                       il) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     // Order: joint QG projection, QG split, Q norm, KV projection, K norm, RoPE, attention
 
@@ -561,9 +195,6 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn(
 ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
         llm_graph_input_rs * inp,
         ggml_tensor *        cur,
-        ggml_tensor *        causal_mask,
-        ggml_tensor *        identity,
-        ggml_tensor *        diag_mask,
         int                  il) {
     const auto * mctx_cur = inp->mctx;
 
@@ -587,8 +218,11 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     ggml_tensor * z         = qkvz.second;
 
     ggml_tensor * beta = build_lora_mm(model.layers[il].ssm_beta, cur);
-    beta  = ggml_reshape_4d(ctx0, beta, num_v_heads, 1, n_seq_tokens, n_seqs);
+    beta = ggml_reshape_4d(ctx0, beta, 1, num_v_heads, n_seq_tokens, n_seqs);
     cb(beta, "beta", il);
+
+    beta = ggml_sigmoid(ctx0, beta);
+
     ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur);
     alpha = ggml_cont_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs);
     cb(alpha, "alpha", il);
@@ -596,15 +230,16 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     ggml_tensor * alpha_biased   = ggml_add(ctx0, alpha, model.layers[il].ssm_dt);
     ggml_tensor * alpha_softplus = ggml_softplus(ctx0, alpha_biased);
     cb(alpha_softplus, "a_softplus", il);
+
     ggml_tensor * gate = ggml_mul(ctx0, alpha_softplus, model.layers[il].ssm_a);  // -A_log.exp() * softplus
     cb(gate, "gate", il);
 
+    gate = ggml_reshape_4d(ctx0, gate, 1, num_v_heads, n_seq_tokens, n_seqs);
+
     // Get convolution states from cache
     ggml_tensor * conv_states_all = mctx_cur->get_r_l(il);
     ggml_tensor * ssm_states_all  = mctx_cur->get_s_l(il);
 
-    // bool use_precomputed_states = n_seq_tokens == 1 && mctx_cur->has_previous_state();
-
     // Build the convolution states tensor
     ggml_tensor * conv_states = build_rs(inp, conv_states_all, hparams.n_embd_r(), n_seqs);
     cb(conv_states, "conv_states", il);
@@ -613,11 +248,12 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     ggml_tensor * conv_kernel      = model.layers[il].ssm_conv1d;
     const int64_t conv_kernel_size = conv_kernel->ne[0];
     const int64_t conv_channels    = d_inner + 2 * hparams.ssm_n_group * hparams.ssm_d_state;
-    conv_states                    = ggml_reshape_3d(ctx0, conv_states, conv_kernel_size - 1, conv_channels, n_seqs);
+
+    conv_states = ggml_reshape_3d(ctx0, conv_states, conv_kernel_size - 1, conv_channels, n_seqs);
     cb(conv_states, "conv_states_reshaped", il);
 
-    qkv_mixed = ggml_permute(ctx0, qkv_mixed, 1, 0, 2, 3);
-    cb(qkv_mixed, "qkv_mixed_permuted", il);
+    qkv_mixed = ggml_transpose(ctx0, qkv_mixed);
+    cb(qkv_mixed, "qkv_mixed_transposed", il);
 
     ggml_tensor * conv_input = ggml_concat(ctx0, conv_states, qkv_mixed, 0);
     cb(conv_input, "conv_input", il);
@@ -635,9 +271,11 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(state_update_target, "state_update_target", il);
 
     ggml_build_forward_expand(gf, ggml_cpy(ctx0, last_conv_states, state_update_target));
-    cb(conv_states_all, "conv_states_updated", il);
 
-    // Apply SSM convolution
+    ggml_tensor * state = build_rs(inp, ssm_states_all, hparams.n_embd_s(), n_seqs);
+    state = ggml_reshape_4d(ctx0, state, head_v_dim, head_v_dim, num_v_heads, n_seqs);
+    cb(state, "state_predelta", il);
+
     ggml_tensor * conv_output_proper = ggml_ssm_conv(ctx0, conv_input, conv_kernel);
     cb(conv_output_proper, "conv_output_raw", il);
 
@@ -651,30 +289,40 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     int64_t nb1_qkv = ggml_row_size(conv_qkv_mix->type, qkv_dim);
 
     // Extract the convolved Q, K, V from conv_output
-    ggml_tensor * q_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_k_dim * num_k_heads, n_seq_tokens * n_seqs, nb1_qkv, 0);
+    ggml_tensor * q_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_k_dim, num_k_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_k_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            0);
+
+    ggml_tensor * k_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_k_dim, num_k_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_k_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
+
+    ggml_tensor * v_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_v_dim, num_v_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_v_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            ggml_row_size(conv_qkv_mix->type, 2 * head_k_dim * num_k_heads));
+
     cb(q_conv, "q_conv", il);
-    ggml_tensor * k_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_k_dim * num_k_heads, n_seq_tokens * n_seqs, nb1_qkv,
-                     head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
     cb(k_conv, "k_conv", il);
-    ggml_tensor * v_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_v_dim * num_v_heads, n_seq_tokens * n_seqs, nb1_qkv,
-                     2 * head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
     cb(v_conv, "v_conv", il);
 
-    // Unsqueeze them
-    q_conv = ggml_cont_4d(ctx0, q_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
-    k_conv = ggml_cont_4d(ctx0, k_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
-    v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
+    const float eps_norm = hparams.f_norm_rms_eps;
 
-    ggml_tensor * state = build_rs(inp, ssm_states_all, hparams.n_embd_s(), n_seqs);
-    state               = ggml_reshape_4d(ctx0, state, head_v_dim, head_v_dim * num_v_heads, 1, n_seqs);
-    cb(state, "state_predelta", il);
+    q_conv = ggml_l2_norm(ctx0, q_conv, eps_norm);
+    k_conv = ggml_l2_norm(ctx0, k_conv, eps_norm);
 
-    // if head keys and value keys are different, repeat Q/K to match V's head count
-    // V heads are in tiled order (from conversion), so simple tiled repeat works
-    if (num_k_heads != num_v_heads) {
+    //q_conv = ggml_cont_4d(ctx0, q_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
+    //k_conv = ggml_cont_4d(ctx0, k_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
+    //v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
+
+    // if head keys and value keys are different, repeat to force tensors into matching shapes
+    // note: need explicit repeat only if we are not using the fused GDN
+    if (num_k_heads != num_v_heads && (!cparams.fused_gdn_ar || !cparams.fused_gdn_ch)) {
         GGML_ASSERT(num_v_heads % num_k_heads == 0);
         q_conv = ggml_repeat_4d(ctx0, q_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs);
         k_conv = ggml_repeat_4d(ctx0, k_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs);
@@ -684,13 +332,8 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(k_conv, "k_conv_predelta", il);
     cb(v_conv, "v_conv_predelta", il);
 
-    // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens
-    std::pair<ggml_tensor *, ggml_tensor *> attn_out; // pair of (output, new_state)
-    if (n_seq_tokens == 1) {
-        attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il);
-    } else {
-        attn_out = build_delta_net_chunking(q_conv, k_conv, v_conv, gate, beta, state, causal_mask, identity, diag_mask, il);
-    }
+    auto attn_out = build_delta_net(q_conv, k_conv, v_conv, gate, beta, state, il);
+
     ggml_tensor * output    = attn_out.first;
     ggml_tensor * new_state = attn_out.second;
     cb(output, "attn_output", il);
@@ -698,19 +341,15 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
 
     // Update the recurrent states
     ggml_build_forward_expand(gf,
-                              ggml_cpy(ctx0, new_state,
-                                       ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
-                                                    kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
-
-    // Reshape both attn_out_final and z to 2D tensors for normalization
-    // attn_out_final: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
-    ggml_tensor * attn_out_2d_final = ggml_reshape_2d(ctx0, output, head_v_dim, num_v_heads * n_seq_tokens * n_seqs);
+            ggml_cpy(ctx0, new_state,
+                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                    kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
-    ggml_tensor * z_2d = ggml_reshape_2d(ctx0, z, head_v_dim, num_v_heads * n_seq_tokens * n_seqs);
+    ggml_tensor * z_2d = ggml_reshape_4d(ctx0, z, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
 
     // Apply gated normalization: self.norm(core_attn_out, z)
-    ggml_tensor * attn_out_norm = build_norm_gated(attn_out_2d_final, model.layers[il].ssm_norm, z_2d, il);
+    ggml_tensor * attn_out_norm = build_norm_gated(output, model.layers[il].ssm_norm, z_2d, il);
 
     // Final reshape: [head_dim, n_heads, n_tokens, n_seqs] -> [n_tokens, n_seqs, n_heads * head_dim]
     ggml_tensor * final_output = ggml_reshape_3d(ctx0, attn_out_norm, head_v_dim * num_v_heads, n_seq_tokens, n_seqs);
@@ -721,7 +360,8 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(cur, "linear_attn_out", il);
 
     // Reshape back to original dimensions
-    cur = ggml_cont_2d(ctx0, cur, n_embd, n_seq_tokens * n_seqs);
+    cur = ggml_reshape_2d(ctx0, cur, n_embd, n_seq_tokens * n_seqs);
+
     return cur;
 }
 
@@ -731,11 +371,16 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_ffn(ggml_tensor * cur, const int
 
     ggml_tensor * moe_out =
         build_moe_ffn(cur,
-            model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps,
-            model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps,
+            model.layers[il].ffn_gate_inp,
+            model.layers[il].ffn_up_exps,
+            model.layers[il].ffn_gate_exps,
+            model.layers[il].ffn_down_exps,
             nullptr,
-            n_expert, n_expert_used, LLM_FFN_SILU,
-            true, false, 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il);
+            n_expert, n_expert_used,
+            LLM_FFN_SILU, true,
+            hparams.expert_weights_scale,
+            LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il,
+            nullptr, model.layers[il].ffn_gate_up_exps);
     cb(moe_out, "ffn_moe_out", il);
 
     // Add shared experts if present - following Qwen3Next reference implementation
diff --git a/src/models/qwen3moe.cpp b/src/models/qwen3moe.cpp
index 888534fb347..dba46618ff2 100644
--- a/src/models/qwen3moe.cpp
+++ b/src/models/qwen3moe.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -30,13 +30,13 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
             cb(Qcur, "Qcur", il);
 
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
             cb(Kcur, "Kcur", il);
 
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
             cb(Vcur, "Vcur", il);
 
             Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
@@ -68,6 +68,9 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
             cur = build_attn(inp_attn,
                     model.layers[il].wo, model.layers[il].bo,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
+            if (model.layers[il].wo_s) {
+                cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
+            }
         }
         if (il == n_layer - 1 && inp_out_ids) {
             cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
@@ -91,9 +94,13 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
-                    il);
+                    il,
+                    nullptr, nullptr,
+                    model.layers[il].ffn_up_exps_s,
+                    model.layers[il].ffn_gate_exps_s,
+                    model.layers[il].ffn_down_exps_s);
         cb(moe_out, "ffn_moe_out", il);
         cur = moe_out;
 
diff --git a/src/models/qwen3next.cpp b/src/models/qwen3next.cpp
index 99b1a76a485..cc479dd075c 100644
--- a/src/models/qwen3next.cpp
+++ b/src/models/qwen3next.cpp
@@ -1,10 +1,9 @@
-#include "ggml.h"
 #include "models.h"
 
-#define CHUNK_SIZE 64
+#include "llama-memory-recurrent.h"
 
 llm_build_qwen3next::llm_build_qwen3next(const llama_model & model, const llm_graph_params & params) :
-    llm_graph_context_mamba(params), model(model) {
+    llm_build_delta_net_base(params), model(model) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
@@ -16,27 +15,18 @@ llm_build_qwen3next::llm_build_qwen3next(const llama_model & model, const llm_gr
     ggml_tensor * inp_pos     = build_inp_pos();
     ggml_tensor * inp_out_ids = build_inp_out_ids();
 
-    ggml_tensor * causal_mask =
-        ggml_tri(ctx0, ggml_fill_inplace(ctx0, ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, CHUNK_SIZE, CHUNK_SIZE), 1.0f),
-                    GGML_TRI_TYPE_LOWER);
-
-    ggml_tensor * identity = ggml_diag(ctx0, ggml_fill_inplace(ctx0, ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, CHUNK_SIZE), 1.0f));
-    ggml_tensor * diag_mask = ggml_add(ctx0, causal_mask, identity);
-
-    ggml_build_forward_expand(gf, causal_mask);
-    ggml_build_forward_expand(gf, identity);
-    ggml_build_forward_expand(gf, diag_mask);
-
     for (int il = 0; il < n_layer; ++il) {
         ggml_tensor * inpSA = inpL;
 
         cur = build_norm(inpL, model.layers[il].attn_norm, nullptr, LLM_NORM_RMS, il);
         cb(cur, "attn_norm", il);
 
+        ggml_build_forward_expand(gf, cur);
+
         // Determine layer type and build appropriate attention mechanism
         if (hparams.is_recurrent(il)) {
             // Linear attention layer (gated delta net)
-            cur = build_layer_attn_linear(inp->get_recr(), cur, causal_mask, identity, diag_mask, il);
+            cur = build_layer_attn_linear(inp->get_recr(), cur, il);
         } else {
             // Full attention layer
             cur = build_layer_attn(inp->get_attn(), cur, inp_pos, il);
@@ -94,354 +84,6 @@ static ggml_tensor * get_slice_2d(ggml_context * ctx0, ggml_tensor * t, int64_t
         t->nb[1], t->nb[2], t->nb[3], t->nb[2] * c);
 }
 
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen3next::build_delta_net_chunking(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * g,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        ggml_tensor * causal_mask,
-        ggml_tensor * identity,
-        ggml_tensor * diag_mask,
-        int           il) {
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q = ggml_scale(ctx0, q, scale);
-
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(g, "g_in", il);
-
-    q = ggml_cont_4d(ctx0, ggml_permute(ctx0, q, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    k = ggml_cont_4d(ctx0, ggml_permute(ctx0, k, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    v = ggml_cont_4d(ctx0, ggml_permute(ctx0, v, 0, 2, 1, 3), S_v, n_tokens, H_v, n_seqs);
-    g = ggml_cont_4d(ctx0, ggml_permute(ctx0, g, 2, 0, 3, 1), n_tokens, 1, H_k, n_seqs);
-
-    beta  = ggml_cont(ctx0, ggml_permute(ctx0, beta, 2, 0, 1, 3));
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    cb(q, "q_perm", il);
-    cb(k, "k_perm", il);
-    cb(v, "v_perm", il);
-    cb(beta, "beta_perm", il);
-    cb(g, "g_perm", il);
-    cb(state, "state_in", il);
-
-    GGML_ASSERT(q->ne[1] == n_tokens && q->ne[0] == S_k && q->ne[2] == H_k && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[1] == n_tokens && k->ne[0] == S_k && k->ne[2] == H_k && k->ne[3] == n_seqs);
-    GGML_ASSERT(v->ne[1] == n_tokens && v->ne[0] == S_v && v->ne[2] == H_k && v->ne[3] == n_seqs);
-    GGML_ASSERT(beta->ne[1] == n_tokens && beta->ne[2] == H_k && beta->ne[0] == 1 && beta->ne[3] == n_seqs);
-
-    // Do padding
-    const int64_t chunk_size = CHUNK_SIZE;
-
-    const int64_t pad = (chunk_size - n_tokens % chunk_size) % chunk_size;
-    const int64_t n_chunks = (n_tokens + pad) / chunk_size;
-
-    q = ggml_pad(ctx0, q, 0, pad, 0, 0);
-    k = ggml_pad(ctx0, k, 0, pad, 0, 0);
-    v = ggml_pad(ctx0, v, 0, pad, 0, 0);
-    g = ggml_pad(ctx0, g, pad, 0, 0, 0);
-    beta = ggml_pad(ctx0, beta, 0, pad, 0, 0);
-
-    cb(q, "q_pad", il);
-    cb(k, "k_pad", il);
-    cb(v, "v_pad", il);
-    cb(beta, "beta_pad", il);
-    cb(g, "g_pad", il);
-
-    ggml_tensor * v_beta = ggml_mul(ctx0, v, beta);
-    ggml_tensor * k_beta = ggml_mul(ctx0, k, beta);
-
-    cb(v_beta, "v_beta", il);
-    cb(k_beta, "k_beta", il);
-
-    q      = ggml_reshape_4d(ctx0, q,      S_k, chunk_size, n_chunks, H_k * n_seqs);
-    k      = ggml_reshape_4d(ctx0, k,      S_k, chunk_size, n_chunks, H_k * n_seqs);
-    k_beta = ggml_reshape_4d(ctx0, k_beta, S_k, chunk_size, n_chunks, H_k * n_seqs);
-    v      = ggml_reshape_4d(ctx0, v,      S_v, chunk_size, n_chunks, H_v * n_seqs);
-    v_beta = ggml_reshape_4d(ctx0, v_beta, S_v, chunk_size, n_chunks, H_v * n_seqs);
-
-    g    = ggml_reshape_4d(ctx0, g, chunk_size, 1, n_chunks, H_k * n_seqs);
-    beta = ggml_reshape_4d(ctx0, beta, 1, chunk_size, n_chunks, H_k * n_seqs);
-
-    ggml_tensor * g_cumsum = ggml_cumsum(ctx0, g);
-    cb(g_cumsum, "g_cumsum", il); // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * gcs_i = g_cumsum; // ggml_reshape_4d(ctx0, g_cumsum, chunk_size, 1, n_chunks, H_v * n_seqs);
-    ggml_tensor * gcs_j = ggml_reshape_4d(ctx0, g_cumsum, 1, chunk_size, n_chunks, H_v * n_seqs);
-
-    ggml_tensor * gcs_j_broadcast =
-        ggml_repeat_4d(ctx0, gcs_j, chunk_size, chunk_size, n_chunks, H_v * n_seqs);
-
-    ggml_tensor * decay_mask = ggml_sub(ctx0, gcs_j_broadcast, gcs_i);
-    cb(decay_mask, "decay_mask", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-    decay_mask = ggml_exp(ctx0, decay_mask);
-    decay_mask = ggml_mul(ctx0, decay_mask, diag_mask);
-
-    ggml_tensor * kmulkbeta = ggml_mul_mat(ctx0, k, k_beta);
-
-    ggml_tensor * k_decay = ggml_mul(ctx0, kmulkbeta, decay_mask);
-    ggml_tensor * attn    = ggml_neg(ctx0, ggml_mul(ctx0, k_decay, causal_mask));
-    cb(attn, "attn_pre_solve", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * attn_lower = ggml_mul(ctx0, attn, causal_mask);
-    ggml_tensor * lhs        = ggml_sub(ctx0, ggml_repeat(ctx0, identity, attn_lower), attn_lower);
-
-    ggml_tensor * lin_solve  = ggml_solve_tri(ctx0, lhs, attn, true, true, false);
-    attn                     = ggml_mul(ctx0, lin_solve, causal_mask);
-    attn                     = ggml_add(ctx0, attn, identity);
-    cb(attn, "attn_solved", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    v = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, v_beta)), attn);
-
-    ggml_tensor * g_cumsum_t = ggml_cont(ctx0, ggml_transpose(ctx0, g_cumsum));
-    ggml_tensor * gexp       = ggml_exp(ctx0, g_cumsum_t);
-
-    ggml_tensor * kbeta_gexp = ggml_mul(ctx0, k_beta, gexp);
-    cb(kbeta_gexp, "kbeta_gexp", il); // shape: (S_k, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * k_cumdecay =
-        ggml_cont(ctx0, ggml_transpose(ctx0, ggml_mul_mat(ctx0, attn, ggml_cont(ctx0, ggml_transpose(ctx0, kbeta_gexp)))));
-    cb(k_cumdecay, "k_cumdecay", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * attn_kq = ggml_mul_mat(ctx0, k, q);
-    attn_kq = ggml_mul(ctx0, attn_kq, decay_mask);
-    attn_kq = ggml_mul(ctx0, attn_kq, diag_mask);
-    cb(attn_kq, "attn_kq", il); // shape: (chunk_size, chunk_size, n_chunks, H_v * n_seqs)
-
-
-    // vectorized calculation of key_gdiff
-    // improved from the chunked version:
-    //   g_last = torch.clamp(g_cum[:, :, -1], max=50.0).exp().unsqueeze(-1).unsqueeze(-1)
-    //   g_diff = torch.clamp(g_cum[:, :, -1:] - g_cum, max=50.0).exp()
-    //   key_gdiff = key * g_diff.unsqueeze(-1)
-    //   kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
-    //   last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
-
-    // get last element in g_cumsum along chunk_size dimension (ne0)
-    // example: [[x, y, z, ..., last], ...] -> [[last], ...]
-    ggml_tensor * g_last = ggml_view_4d(ctx0, g_cumsum, 1, 1, g_cumsum->ne[2], g_cumsum->ne[3],
-                                        g_cumsum->nb[1], g_cumsum->nb[2], g_cumsum->nb[3],
-                                        (g_cumsum->ne[0] - 1) * ggml_element_size(g_cumsum));
-    g_last = ggml_cont(ctx0, g_last);
-    cb(g_last, "g_last", il); // shape: (1, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_last_exp = ggml_exp(ctx0, g_last);
-    cb(g_last_exp, "g_last_exp", il); // shape: (1, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_diff = ggml_neg(ctx0, ggml_sub(ctx0, g_cumsum, g_last));
-    cb(g_diff, "g_diff", il); // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * g_diff_exp = ggml_exp(ctx0, g_diff);
-    ggml_tensor * g_diff_exp_t = ggml_reshape_4d(ctx0, g_diff_exp,
-                                                 1, chunk_size, n_chunks, g_diff_exp->ne[3]);
-
-    ggml_tensor * key_gdiff = ggml_mul(ctx0, k, g_diff_exp_t);
-    cb(key_gdiff, "key_gdiff", il); // shape: (S_k, chunk_size, n_chunks, H_v * n_seqs)
-
-    ggml_tensor * key_gdiff_t = ggml_cont(ctx0, ggml_transpose(ctx0, key_gdiff));
-    cb(key_gdiff_t, "key_gdiff_t", il); // shape: (chunk_size, S_k, n_chunks, H_v * n_seqs)
-
-
-    // state to be updated per chunk
-    ggml_tensor * new_state = state; // ggml_dup(ctx0, state);
-    cb(new_state, "new_state", il); // shape: (S_v, S_v, H_v, n_seqs)
-
-    // shape after loop of chunks: (S_v, chunk_size, n_chunks, H_v * n_seqs)
-    ggml_tensor * core_attn_out = nullptr;
-
-    for (int64_t chunk = 0; chunk < n_chunks; chunk++) {
-        // shape: (S_k, chunk_size, 1, H_k * n_seqs)
-        ggml_tensor * q_chunk = get_slice_2d(ctx0, q, chunk); // (no cont), next op: ggml_mul
-
-        // shape: (S_v, chunk_size, 1, H_v * n_seqs)
-        ggml_tensor * v_chunk = get_slice_2d(ctx0, v, chunk); // (no cont), next op: ggml_repeat
-
-        // shape: (chunk_size, 1, n_chunks, H_v * n_seqs)
-        ggml_tensor * gexp_chunk = get_slice_2d(ctx0, gexp, chunk); // (no cont), next op: ggml_mul
-
-        // shape: (chunk_size, 1, H_v * n_seqs)
-        ggml_tensor * k_cumdecay_chunk = get_slice_2d(ctx0, k_cumdecay, chunk); // (no cont), next op: ggml_mul_mat
-
-        // attn = (q_i @ k_i.transpose(-1, -2) * decay_mask[:, :, i]).masked_fill_(mask, 0)
-        // replaced by precomputed attn_kq
-        ggml_tensor * attn_chunk = get_slice_2d(ctx0, attn_kq, chunk);
-        cb(attn_chunk, "attn_chunk", il);
-
-        ggml_tensor * state_t = ggml_cont_4d(ctx0, ggml_permute(ctx0, new_state, 1, 0, 2, 3), S_v, S_v, 1, H_v * n_seqs);
-
-        // v_prime = (k_cumdecay[:, :, i]) @ last_recurrent_state
-        ggml_tensor * v_prime = ggml_mul_mat(ctx0, state_t, k_cumdecay_chunk);
-        cb(v_prime, "v_prime_chunk", il); // shape: (S_v, 1, H_v * n_seqs)
-
-        // v_new = v_i - v_prime
-        ggml_tensor * v_new = ggml_sub(ctx0, ggml_repeat(ctx0, v_chunk, v_prime), v_prime);
-        ggml_tensor * v_new_t = ggml_cont(ctx0, ggml_transpose(ctx0, v_new));
-        cb(v_new, "v_new_chunk", il);
-
-        // attn_inter = (q_i * g[:, :, i, :, None].exp()) @ last_recurrent_state
-        ggml_tensor * q_g_exp    = ggml_mul(ctx0, q_chunk, gexp_chunk);
-        ggml_tensor * attn_inter = ggml_mul_mat(ctx0, state_t, q_g_exp);
-        cb(attn_inter, "attn_inter_chunk", il);
-
-        // core_attn_out[:, :, i] = attn_inter + attn @ v_new
-        ggml_tensor * v_attn = ggml_mul_mat(ctx0, v_new_t, attn_chunk);
-        cb(v_attn, "v_attn_chunk", il);
-
-        ggml_tensor * core_attn_out_chunk = ggml_add(ctx0, attn_inter, v_attn);
-        cb(core_attn_out_chunk, "core_attn_out_chunk", il); // shape: (S_v, chunk_size, 1, H_v * n_seqs)
-
-        core_attn_out = core_attn_out == nullptr
-            ? core_attn_out_chunk
-            : ggml_concat(ctx0, core_attn_out, core_attn_out_chunk, 2);
-
-        // kgdmulvnew = (key_gdiff).transpose(-1, -2) @ v_new
-        ggml_tensor * k_gdiff_t = get_slice_2d(ctx0, key_gdiff_t, chunk);
-        //ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, k_gdiff, v_new); // this is slower on metal, why?
-        ggml_tensor * kgdmulvnew = ggml_mul_mat(ctx0, v_new_t, k_gdiff_t);
-
-        // last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew
-        ggml_tensor * gexp_last_chunk = ggml_cont(ctx0, get_slice_2d(ctx0, g_last_exp, chunk));
-        new_state = ggml_add(ctx0,
-            ggml_mul(ctx0, new_state, ggml_reshape_4d(ctx0, gexp_last_chunk, gexp_last_chunk->ne[0], gexp_last_chunk->ne[1], H_v, n_seqs)),
-            ggml_reshape_4d(ctx0, kgdmulvnew, kgdmulvnew->ne[0], kgdmulvnew->ne[1], H_v, n_seqs));
-    }
-
-    // truncate padded tokens
-    ggml_tensor * output_tokens = ggml_view_4d(ctx0, core_attn_out,
-            S_v, n_tokens, H_v, n_seqs,
-            ggml_row_size(core_attn_out->type, S_v),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks),
-            ggml_row_size(core_attn_out->type, S_v * chunk_size * n_chunks * H_v), 0);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-    cb(output_tokens, "output_tokens", il);
-
-    // permute back to (S_v, H_v, n_tokens, n_seqs)
-    output_tokens = ggml_permute(ctx0, output_tokens, 0, 2, 1, 3);
-    output_tokens = ggml_cont(ctx0, output_tokens);
-
-    return {output_tokens, new_state};
-}
-
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen3next::build_delta_net_autoregressive(
-        ggml_tensor * q,
-        ggml_tensor * k,
-        ggml_tensor * v,
-        ggml_tensor * g,
-        ggml_tensor * beta,
-        ggml_tensor * state,
-        int           il) {
-    const int64_t S_k      = q->ne[0];
-    const int64_t H_k      = q->ne[1];
-    const int64_t n_tokens = q->ne[2];
-    const int64_t n_seqs   = q->ne[3];
-
-    const int64_t S_v = v->ne[0];
-    const int64_t H_v = v->ne[1];
-
-    GGML_ASSERT(n_tokens == 1);  // This function is optimized for single token processing
-    GGML_ASSERT(v->ne[2] == n_tokens);
-    GGML_ASSERT(k->ne[2] == n_tokens);
-    GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
-    GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
-    GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
-
-    GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs);
-    GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs);
-
-    GGML_ASSERT(H_k == H_v);  // we did a repeat to make sure this is the case
-
-    const float eps_norm = hparams.f_norm_rms_eps;
-
-    q = ggml_l2_norm(ctx0, q, eps_norm);
-    k = ggml_l2_norm(ctx0, k, eps_norm);
-
-    const float scale = 1.0f / sqrtf(S_v);
-
-    q    = ggml_scale(ctx0, q, scale);
-    beta = ggml_sigmoid(ctx0, beta);
-
-    cb(q, "q_in", il);
-    cb(k, "k_in", il);
-    cb(v, "v_in", il);
-    cb(beta, "beta_in", il);
-    cb(g, "g_in", il);
-
-    state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
-
-    ggml_tensor * g_t    = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, g), 1, 1, H_k, n_seqs);
-    ggml_tensor * beta_t = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, beta), 1, 1, H_k, n_seqs);
-
-    // Apply exponential to g_t
-    g_t = ggml_exp(ctx0, g_t);
-
-    // Apply the gated delta rule for the single timestep
-    // last_recurrent_state = last_recurrent_state * g_t
-    state = ggml_mul(ctx0, state, g_t);
-
-    // kv_mem = (last_recurrent_state * k_t.unsqueeze(-1)).sum(dim=-2)
-    ggml_tensor * k_t_unsqueezed = ggml_reshape_4d(ctx0, k, 1, S_v, H_v, n_seqs);
-    ggml_tensor * kv_mem         = ggml_mul(ctx0, state, k_t_unsqueezed);
-    // we need to sum over dim=-2, so we transpose, sum, then transpose again
-    kv_mem = ggml_transpose(ctx0, ggml_sum_rows(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, kv_mem))));
-
-    // v_t = v.unsqueeze(2) (we insert the singleton dimension after n_seqs and H_v)
-    ggml_tensor * v_t    = ggml_reshape_4d(ctx0, v, S_v, 1, H_v, n_seqs);
-    // delta = (v_t - kv_mem) * beta_t
-    ggml_tensor * v_diff = ggml_sub(ctx0, v_t, kv_mem);  // both should be [S_v, 1, H_v, n_seqs]
-    ggml_tensor * delta  = ggml_mul(ctx0, v_diff, beta_t);
-
-    // last_recurrent_state = last_recurrent_state + k_t.unsqueeze(-1) * delta
-    ggml_tensor * k_t_delta = ggml_mul(ctx0, ggml_repeat_4d(ctx0, k_t_unsqueezed, S_v, S_v, H_v, n_seqs), delta);
-    state                   = ggml_add(ctx0, state, k_t_delta);
-
-    // Compute the attention output
-    // core_attn_out = (last_recurrent_state * q_t.unsqueeze(-1)).sum(dim=-2)
-    ggml_tensor * q_t_unsqueezed = ggml_reshape_4d(ctx0, q, 1, S_v, H_v, n_seqs);  // unsqueeze q_t
-    ggml_tensor * state_q        = ggml_mul(ctx0, state, q_t_unsqueezed);
-    // again, since it's over dim = -2, transpose, sum, transpose back
-    ggml_tensor * core_attn_out =
-        ggml_transpose(ctx0, ggml_sum_rows(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, state_q))));
-
-    // core_attn_out should be [S_v, 1, H_v, n_seqs] after this
-    cb(core_attn_out, "output_tokens", il);
-    cb(state, "new_state", il);
-
-    return {core_attn_out, state};
-}
-
 ggml_tensor * llm_build_qwen3next::build_norm_gated(
         ggml_tensor * input,
         ggml_tensor * weights,
@@ -458,8 +100,8 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
         ggml_tensor *             cur,
         ggml_tensor *             inp_pos,
         int                       il) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     // Order: joint QG projection, QG split, Q norm, KV projection, K norm, RoPE, attention
 
@@ -472,39 +114,29 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
     // Split Q projection into query and gate
     // The split should be along dimension 0 (the feature dimension)
     ggml_tensor * Qcur = ggml_view_4d(ctx0, Qcur_full, n_embd_head, n_head, n_tokens, 1,
-                                             Qcur_full->nb[1], Qcur_full->nb[2], Qcur_full->nb[3], 0);
+                                            Qcur_full->nb[1], Qcur_full->nb[2], Qcur_full->nb[3], 0);
+    cb(Qcur, "Qcur_view", il);
+
     ggml_tensor * gate =
         ggml_view_4d(ctx0, Qcur_full, n_embd_head, n_head, n_tokens, 1,
                      Qcur_full->nb[1], Qcur_full->nb[2], Qcur_full->nb[3], n_embd_head * ggml_element_size(Qcur_full));
-    cb(Qcur, "Qcur", il);
     cb(gate, "gate", il);
 
-    // Now reshape Qcur to [n_embd_head, n_head, n_tokens] for multi-head attention
-    Qcur = ggml_cont_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-    cb(Qcur, "Qcur_reshaped", il);
-
-    // Apply Q normalization
-    Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, nullptr, LLM_NORM_RMS, il);
-    cb(Qcur, "Qcur_normed", il);
-
     ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
     cb(Kcur, "Kcur", il);
 
     ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
     cb(Vcur, "Vcur", il);
 
-    // Apply K normalization
     Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-    Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, nullptr, LLM_NORM_RMS, il);
-    cb(Kcur, "Kcur_normed", il);
+    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
 
-    // Reshape gate to [n_embd, n_tokens] for the sigmoid gating (flatten the heads)
-    gate = ggml_cont_2d(ctx0, gate, n_embd_head * n_head, n_tokens);
-    cb(gate, "gate_reshaped", il);
+    Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, nullptr, LLM_NORM_RMS, il);
+    cb(Qcur, "Qcur_normed", il);
 
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+    Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, nullptr, LLM_NORM_RMS, il);
+    cb(Kcur, "Kcur_normed", il);
 
-    // Apply RoPE
     Qcur = ggml_rope_ext(
             ctx0, Qcur, inp_pos, nullptr,
             n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -519,7 +151,6 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
     cb(Kcur, "Kcur", il);
     cb(Vcur, "Vcur", il);
 
-    // Attention computation
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
@@ -527,10 +158,15 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
-    ggml_tensor * gate_sigmoid = ggml_sigmoid(ctx0, gate);
-    cb(gate_sigmoid, "gate_sigmoid", il);
+    // TODO: CUDA is missing non-contiguous unary ops. when implemented: remove this cont
+    gate = ggml_cont_2d(ctx0, gate, n_embd_head * n_head, n_tokens);
+
+    gate = ggml_sigmoid(ctx0, gate);
+    cb(gate, "gate_sigmoid", il);
 
-    cur = ggml_mul(ctx0, cur, gate_sigmoid);
+    gate = ggml_reshape_2d(ctx0, gate, n_embd_head * n_head, n_tokens);
+
+    cur = ggml_mul(ctx0, cur, gate);
     cb(cur, "attn_gated", il);
 
     cur = build_lora_mm(model.layers[il].wo, cur);
@@ -560,7 +196,6 @@ std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen3next::build_qkvz(
         cb(z, "z", il);
 
         return { qkv_mixed, z };
-
     } else {
         // legacy (slower) path
         ggml_tensor * mixed_qkvz = build_lora_mm(model.layers[il].ssm_in, input);
@@ -624,9 +259,6 @@ std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen3next::build_qkvz(
 ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
         llm_graph_input_rs * inp,
         ggml_tensor *        cur,
-        ggml_tensor *        causal_mask,
-        ggml_tensor *        identity,
-        ggml_tensor *        diag_mask,
         int                  il) {
     const auto * mctx_cur = inp->mctx;
 
@@ -671,7 +303,10 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
                                    split_sizes_ba[0] * ggml_element_size(mixed_ba_reshaped));
     cb(a, "a", il);
 
-    ggml_tensor * beta  = ggml_cont_4d(ctx0, b, num_v_heads, 1, n_seq_tokens, n_seqs);
+    // TODO: CUDA is missing non-contiguous unary ops. when implemented: remove this cont
+    b = ggml_cont(ctx0, b);
+
+    ggml_tensor * beta = ggml_sigmoid(ctx0, b);
 
     // Reshape a to merge head dimensions: [batch, seq_len, num_k_heads, num_v_heads/num_k_heads] -> [batch, seq_len, num_v_heads]
     ggml_tensor * alpha = ggml_cont_3d(ctx0, a, num_v_heads, n_seq_tokens, n_seqs);
@@ -679,15 +314,17 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     ggml_tensor * alpha_biased   = ggml_add(ctx0, alpha, model.layers[il].ssm_dt);
     ggml_tensor * alpha_softplus = ggml_softplus(ctx0, alpha_biased);
     cb(alpha_softplus, "a_softplus", il);
+
     ggml_tensor * gate = ggml_mul(ctx0, alpha_softplus, model.layers[il].ssm_a);  // -A_log.exp() * softplus
     cb(gate, "gate", il);
 
+    beta = ggml_reshape_4d(ctx0, beta, 1, num_v_heads, n_seq_tokens, n_seqs);
+    gate = ggml_reshape_4d(ctx0, gate, 1, num_v_heads, n_seq_tokens, n_seqs);
+
     // Get convolution states from cache
     ggml_tensor * conv_states_all = mctx_cur->get_r_l(il);
     ggml_tensor * ssm_states_all  = mctx_cur->get_s_l(il);
 
-    // bool use_precomputed_states = n_seq_tokens == 1 && mctx_cur->has_previous_state();
-
     // Build the convolution states tensor
     ggml_tensor * conv_states = build_rs(inp, conv_states_all, hparams.n_embd_r(), n_seqs);
     cb(conv_states, "conv_states", il);
@@ -696,11 +333,12 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     ggml_tensor * conv_kernel      = model.layers[il].ssm_conv1d;
     const int64_t conv_kernel_size = conv_kernel->ne[0];
     const int64_t conv_channels    = d_inner + 2 * hparams.ssm_n_group * hparams.ssm_d_state;
-    conv_states                    = ggml_reshape_3d(ctx0, conv_states, conv_kernel_size - 1, conv_channels, n_seqs);
+
+    conv_states = ggml_reshape_3d(ctx0, conv_states, conv_kernel_size - 1, conv_channels, n_seqs);
     cb(conv_states, "conv_states_reshaped", il);
 
-    qkv_mixed = ggml_permute(ctx0, qkv_mixed, 1, 0, 2, 3);
-    cb(qkv_mixed, "qkv_mixed_permuted", il);
+    qkv_mixed = ggml_transpose(ctx0, qkv_mixed);
+    cb(qkv_mixed, "qkv_mixed_transposed", il);
 
     ggml_tensor * conv_input = ggml_concat(ctx0, conv_states, qkv_mixed, 0);
     cb(conv_input, "conv_input", il);
@@ -718,9 +356,11 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     cb(state_update_target, "state_update_target", il);
 
     ggml_build_forward_expand(gf, ggml_cpy(ctx0, last_conv_states, state_update_target));
-    cb(conv_states_all, "conv_states_updated", il);
 
-    // Apply SSM convolution
+    ggml_tensor * state = build_rs(inp, ssm_states_all, hparams.n_embd_s(), n_seqs);
+    state = ggml_reshape_4d(ctx0, state, head_v_dim, head_v_dim, num_v_heads, n_seqs);
+    cb(state, "state_predelta", il);
+
     ggml_tensor * conv_output_proper = ggml_ssm_conv(ctx0, conv_input, conv_kernel);
     cb(conv_output_proper, "conv_output_raw", il);
 
@@ -734,28 +374,39 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     int64_t nb1_qkv = ggml_row_size(conv_qkv_mix->type, qkv_dim);
 
     // Extract the convolved Q, K, V from conv_output
-    ggml_tensor * q_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_k_dim * num_k_heads, n_seq_tokens * n_seqs, nb1_qkv, 0);
+    ggml_tensor * q_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_k_dim, num_k_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_k_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            0);
+
+    ggml_tensor * k_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_k_dim, num_k_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_k_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
+
+    ggml_tensor * v_conv = ggml_view_4d(ctx0, conv_qkv_mix, head_v_dim, num_v_heads, n_seq_tokens, n_seqs,
+            ggml_row_size(conv_qkv_mix->type, head_v_dim),
+            nb1_qkv,
+            nb1_qkv * n_seq_tokens,
+            ggml_row_size(conv_qkv_mix->type, 2 * head_k_dim * num_k_heads));
+
     cb(q_conv, "q_conv", il);
-    ggml_tensor * k_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_k_dim * num_k_heads, n_seq_tokens * n_seqs, nb1_qkv,
-                     head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
     cb(k_conv, "k_conv", il);
-    ggml_tensor * v_conv =
-        ggml_view_2d(ctx0, conv_qkv_mix, head_v_dim * num_v_heads, n_seq_tokens * n_seqs, nb1_qkv,
-                     2 * head_k_dim * num_k_heads * ggml_element_size(conv_qkv_mix));
     cb(v_conv, "v_conv", il);
 
-    // Unsqueeze them
-    q_conv = ggml_cont_4d(ctx0, q_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
-    k_conv = ggml_cont_4d(ctx0, k_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
-    v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
+    const float eps_norm = hparams.f_norm_rms_eps;
 
-    ggml_tensor * state = build_rs(inp, ssm_states_all, hparams.n_embd_s(), n_seqs);
-    state               = ggml_reshape_4d(ctx0, state, head_v_dim, head_v_dim * num_v_heads, 1, n_seqs);
-    cb(state, "state_predelta", il);
+    q_conv = ggml_l2_norm(ctx0, q_conv, eps_norm);
+    k_conv = ggml_l2_norm(ctx0, k_conv, eps_norm);
+
+    //q_conv = ggml_cont_4d(ctx0, q_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
+    //k_conv = ggml_cont_4d(ctx0, k_conv, head_k_dim, num_k_heads, n_seq_tokens, n_seqs);
+    //v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
 
     // if head keys and value keys are different, repeat to force tensors into matching shapes
+    // TODO: avoid repeats for fused GDN, needs broadcast configuration for GDN op [TAG_GGML_GDN_BCAST]
     if (num_k_heads != num_v_heads) {
         GGML_ASSERT(num_v_heads % num_k_heads == 0);
         int64_t repeat_factor = num_v_heads / num_k_heads;
@@ -781,13 +432,8 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     cb(k_conv, "k_conv_predelta", il);
     cb(v_conv, "v_conv_predelta", il);
 
-    // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens
-    std::pair<ggml_tensor *, ggml_tensor *> attn_out; // pair of (output, new_state)
-    if (n_seq_tokens == 1) {
-        attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il);
-    } else {
-        attn_out = build_delta_net_chunking(q_conv, k_conv, v_conv, gate, beta, state, causal_mask, identity, diag_mask, il);
-    }
+    auto attn_out = build_delta_net(q_conv, k_conv, v_conv, gate, beta, state, il);
+
     ggml_tensor * output    = attn_out.first;
     ggml_tensor * new_state = attn_out.second;
     cb(output, "attn_output", il);
@@ -795,19 +441,15 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
 
     // Update the recurrent states
     ggml_build_forward_expand(gf,
-                              ggml_cpy(ctx0, new_state,
-                                       ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
-                                                    kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
-
-    // Reshape both attn_out_final and z to 2D tensors for normalization
-    // attn_out_final: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
-    ggml_tensor * attn_out_2d_final = ggml_reshape_2d(ctx0, output, head_v_dim, num_v_heads * n_seq_tokens * n_seqs);
+            ggml_cpy(ctx0, new_state,
+                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                    kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
-    ggml_tensor * z_2d = ggml_reshape_2d(ctx0, z, head_v_dim, num_v_heads * n_seq_tokens * n_seqs);
+    ggml_tensor * z_2d = ggml_reshape_4d(ctx0, z, head_v_dim, num_v_heads, n_seq_tokens, n_seqs);
 
     // Apply gated normalization: self.norm(core_attn_out, z)
-    ggml_tensor * attn_out_norm = build_norm_gated(attn_out_2d_final, model.layers[il].ssm_norm, z_2d, il);
+    ggml_tensor * attn_out_norm = build_norm_gated(output, model.layers[il].ssm_norm, z_2d, il);
 
     // Final reshape: [head_dim, n_heads, n_tokens, n_seqs] -> [n_tokens, n_seqs, n_heads * head_dim]
     ggml_tensor * final_output = ggml_reshape_3d(ctx0, attn_out_norm, head_v_dim * num_v_heads, n_seq_tokens, n_seqs);
@@ -818,7 +460,8 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     cb(cur, "linear_attn_out", il);
 
     // Reshape back to original dimensions
-    cur = ggml_cont_2d(ctx0, cur, n_embd, n_seq_tokens * n_seqs);
+    cur = ggml_reshape_2d(ctx0, cur, n_embd, n_seq_tokens * n_seqs);
+
     return cur;
 }
 
@@ -828,18 +471,23 @@ ggml_tensor * llm_build_qwen3next::build_layer_ffn(ggml_tensor * cur, const int
         // MoE branch
         ggml_tensor * moe_out =
             build_moe_ffn(cur,
-                model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps,
-                model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps,
+                model.layers[il].ffn_gate_inp,
+                model.layers[il].ffn_up_exps,
+                model.layers[il].ffn_gate_exps,
+                model.layers[il].ffn_down_exps,
                 nullptr,
-                n_expert, n_expert_used, LLM_FFN_SILU,
-                true, false, 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il);
+                n_expert, n_expert_used,
+                LLM_FFN_SILU, true,
+                hparams.expert_weights_scale,
+                LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il,
+                nullptr, model.layers[il].ffn_gate_up_exps);
         cb(moe_out, "ffn_moe_out", il);
 
         // Add shared experts if present - following Qwen3Next reference implementation
         if (model.layers[il].ffn_up_shexp != nullptr) {
             ggml_tensor * ffn_shexp =
                 build_ffn(cur,
-                    model.layers[il].ffn_up_shexp, NULL, NULL,
+                    model.layers[il].ffn_up_shexp,   NULL, NULL,
                     model.layers[il].ffn_gate_shexp, NULL, NULL,
                     model.layers[il].ffn_down_shexp, NULL, NULL,
                     NULL,
@@ -852,11 +500,9 @@ ggml_tensor * llm_build_qwen3next::build_layer_ffn(ggml_tensor * cur, const int
             ggml_tensor * shared_gate = build_lora_mm(model.layers[il].ffn_gate_inp_shexp, cur);
             cb(shared_gate, "shared_expert_gate", il);
 
-            // Apply sigmoid to the gate
             shared_gate = ggml_sigmoid(ctx0, shared_gate);
             cb(shared_gate, "shared_expert_gate_sigmoid", il);
 
-            // Apply the gate to the shared expert output
             ffn_shexp = ggml_mul(ctx0, ffn_shexp, shared_gate);
             cb(ffn_shexp, "ffn_shexp_gated", il);
 
diff --git a/src/models/qwen3vl-moe.cpp b/src/models/qwen3vl-moe.cpp
index e5e1a2150c8..195daea66c9 100644
--- a/src/models/qwen3vl-moe.cpp
+++ b/src/models/qwen3vl-moe.cpp
@@ -4,10 +4,10 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
     const size_t n_deepstack_layers = hparams.n_deepstack_layers;
 
     const int64_t n_embd      = hparams.n_embd;
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -99,7 +99,7 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/qwen3vl.cpp b/src/models/qwen3vl.cpp
index 0f8315b3240..bbd5f42ba5b 100644
--- a/src/models/qwen3vl.cpp
+++ b/src/models/qwen3vl.cpp
@@ -4,10 +4,10 @@ llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_
     const size_t n_deepstack_layers = hparams.n_deepstack_layers;
 
     const int64_t n_embd      = hparams.n_embd;
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/refact.cpp b/src/models/refact.cpp
index ff5eb2841db..140700d9e2d 100644
--- a/src/models/refact.cpp
+++ b/src/models/refact.cpp
@@ -1,9 +1,9 @@
 #include "models.h"
 
 llm_build_refact::llm_build_refact(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/rnd1.cpp b/src/models/rnd1.cpp
index 46b3dc3efca..c8e1f43400f 100644
--- a/src/models/rnd1.cpp
+++ b/src/models/rnd1.cpp
@@ -2,10 +2,10 @@
 
 // RND1 is a Qwen3Moe AR model converted to diffusion model.
 llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -93,7 +93,7 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,
                     il);
         cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/rwkv6-base.cpp b/src/models/rwkv6-base.cpp
index 7beed2daffb..83aeab7280b 100644
--- a/src/models/rwkv6-base.cpp
+++ b/src/models/rwkv6-base.cpp
@@ -1,5 +1,7 @@
 #include "models.h"
 
+#include "llama-memory-recurrent.h"
+
 llm_build_rwkv6_base::llm_build_rwkv6_base(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params),
     model(model) {}
diff --git a/src/models/rwkv7-base.cpp b/src/models/rwkv7-base.cpp
index cda44653849..7fcab77745c 100644
--- a/src/models/rwkv7-base.cpp
+++ b/src/models/rwkv7-base.cpp
@@ -1,5 +1,7 @@
 #include "models.h"
 
+#include "llama-memory-recurrent.h"
+
 llm_build_rwkv7_base::llm_build_rwkv7_base(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params),
     model(model) {}
diff --git a/src/models/seed-oss.cpp b/src/models/seed-oss.cpp
index 0dc33c50ba3..a4d0b75d846 100644
--- a/src/models/seed-oss.cpp
+++ b/src/models/seed-oss.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/smallthinker.cpp b/src/models/smallthinker.cpp
index 4c497ca76f4..e2155aacef4 100644
--- a/src/models/smallthinker.cpp
+++ b/src/models/smallthinker.cpp
@@ -2,10 +2,10 @@
 
 template <bool iswa>
 llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params){
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -93,7 +93,7 @@ llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model,
                     nullptr,
                     n_expert, n_expert_used,
                     LLM_FFN_RELU, true,
-                    false, 0.0,
+                    hparams.expert_weights_scale,
                     static_cast<llama_expert_gating_func_type>(hparams.expert_gating_func),
                     il, probs);
 
diff --git a/src/models/smollm3.cpp b/src/models/smollm3.cpp
index 97c30deed54..e267fd8f32f 100644
--- a/src/models/smollm3.cpp
+++ b/src/models/smollm3.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/stablelm.cpp b/src/models/stablelm.cpp
index bed1915c006..ff5aced93b3 100644
--- a/src/models/stablelm.cpp
+++ b/src/models/stablelm.cpp
@@ -1,9 +1,9 @@
 #include "models.h"
 
 llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/starcoder.cpp b/src/models/starcoder.cpp
index e197af4a8c6..941cee98219 100644
--- a/src/models/starcoder.cpp
+++ b/src/models/starcoder.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/starcoder2.cpp b/src/models/starcoder2.cpp
index e40ef2cb749..a5965aceb3b 100644
--- a/src/models/starcoder2.cpp
+++ b/src/models/starcoder2.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/step35-iswa.cpp b/src/models/step35-iswa.cpp
index f8737815a67..176209cd93e 100644
--- a/src/models/step35-iswa.cpp
+++ b/src/models/step35-iswa.cpp
@@ -52,7 +52,7 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
             // RoPE (partial rotary factors per layer)
             const bool is_swa = hparams.is_swa(il);
             ggml_tensor * rope_factors = is_swa ? nullptr : model.get_rope_factors(cparams, il);
-            const int64_t n_rot_l = is_swa ? hparams.n_rot : (hparams.n_rot / 2);
+            const int64_t n_rot_l = hparams.n_rot(il);
             Qcur = ggml_rope_ext(
                 ctx0, Qcur, inp_pos, rope_factors,
                 n_rot_l, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
@@ -119,9 +119,6 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
             cb(cur, "ffn_out", il);
         } else {
             // MoE routed experts
-            const bool  norm_w  = hparams.expert_weights_norm;
-            const float w_scale = hparams.expert_weights_scale;
-            const bool  scale_w = w_scale != 0.0f;
             ggml_tensor * moe_out = build_moe_ffn(cur,
                     model.layers[il].ffn_gate_inp,
                     model.layers[il].ffn_up_exps,
@@ -129,8 +126,8 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
                     model.layers[il].ffn_down_exps,
                     model.layers[il].ffn_exp_probs_b,
                     n_expert, n_expert_used,
-                    LLM_FFN_SILU,
-                    norm_w, scale_w, w_scale,
+                    LLM_FFN_SILU, hparams.expert_weights_norm,
+                    hparams.expert_weights_scale,
                     (llama_expert_gating_func_type) hparams.expert_gating_func,
                     il);
             cb(moe_out, "ffn_moe_out", il);
diff --git a/src/models/t5-dec.cpp b/src/models/t5-dec.cpp
index 297e450de76..8ca8372bd4c 100644
--- a/src/models/t5-dec.cpp
+++ b/src/models/t5-dec.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_t5_dec::llm_build_t5_dec(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
     //const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/t5-enc.cpp b/src/models/t5-enc.cpp
index 70e1d80dcdd..395dfb51042 100644
--- a/src/models/t5-enc.cpp
+++ b/src/models/t5-enc.cpp
@@ -1,9 +1,9 @@
 #include "models.h"
 
 llm_build_t5_enc::llm_build_t5_enc(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/models/xverse.cpp b/src/models/xverse.cpp
index 364797dd31b..3a8dfafcceb 100644
--- a/src/models/xverse.cpp
+++ b/src/models/xverse.cpp
@@ -1,10 +1,10 @@
 #include "models.h"
 
 llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v;
+    const int64_t n_embd_head = hparams.n_embd_head_v();
 
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
-    GGML_ASSERT(n_embd_head == hparams.n_rot);
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
 
     ggml_tensor * cur;
     ggml_tensor * inpL;
diff --git a/src/unicode.cpp b/src/unicode.cpp
index adfc489d1f0..122c8ca04a5 100644
--- a/src/unicode.cpp
+++ b/src/unicode.cpp
@@ -1,16 +1,10 @@
-#if defined(_MSC_VER)
-#define _SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING
-#endif
-
 #include "unicode.h"
 #include "unicode-data.h"
 
 #include <algorithm>
 #include <cassert>
-#include <codecvt>
 #include <cstddef>
 #include <cstdint>
-#include <locale>
 #include <map>
 #include <regex>
 #include <stdexcept>
@@ -199,27 +193,6 @@ static std::unordered_map<std::string, uint8_t> unicode_utf8_to_byte_map() {
     return map;
 }
 
-static inline std::wstring unicode_wstring_from_utf8(const std::string & s) {
-#if defined(__clang__)
-    // disable C++17 deprecation warning for std::codecvt_utf8
-#    pragma clang diagnostic push
-#    pragma clang diagnostic ignored "-Wdeprecated-declarations"
-#elif defined(__GNUC__)
-#    pragma GCC diagnostic push
-#    pragma GCC diagnostic ignored "-Wdeprecated-declarations"
-#endif
-
-    std::wstring_convert<std::codecvt_utf8<wchar_t>> conv;
-
-#if defined(__clang__)
-#    pragma clang diagnostic pop
-#elif defined(__GNUC__)
-#    pragma GCC diagnostic pop
-#endif
-
-    return conv.from_bytes(s);
-}
-
 static std::vector<std::string> unicode_byte_encoding_process(const std::vector<std::string> & bpe_words) {
     std::vector<std::string> bpe_encoded_words;
     for (const auto & word : bpe_words) {
@@ -796,6 +769,12 @@ static std::vector<size_t> unicode_regex_split_custom(const std::string & text,
     } else if (regex_expr == "\\p{AFMoE_digits}") {
         // AFMOE digit pattern - use custom implementation for proper splitting
         bpe_offsets = unicode_regex_split_custom_afmoe(text, offsets);
+    } else if (regex_expr == "\\d{1,3}(?=(?:\\d{3})*\\b)") {
+        // tiny_aya digit grouping pattern from tokenizer.json:
+        //   {"type": "Split", "pattern": {"Regex": "\\d{1,3}(?=(?:\\d{3})*\\b)"}, "behavior": "Isolated"}
+        // Splits digits into groups of 3 from the right (e.g., 1234567 -> 1, 234, 567)
+        // TODO: Revisit this regex, in case there are any subtle tokenization differences with the original regex.
+        bpe_offsets = unicode_regex_split_custom_afmoe(text, offsets);
     }
 
     return bpe_offsets;
@@ -1028,10 +1007,10 @@ std::vector<std::string> unicode_regex_split(const std::string & text, const std
                     break;
                 }
             }
+            const auto cpts_regex = unicode_cpts_from_utf8(regex_expr);
 
             if (use_collapsed) {
                 // sanity-check that the original regex does not contain any non-ASCII characters
-                const auto cpts_regex = unicode_cpts_from_utf8(regex_expr);
                 for (size_t i = 0; i < cpts_regex.size(); ++i) {
                     if (cpts_regex[i] >= 128) {
                         throw std::runtime_error("Regex includes both unicode categories and non-ASCII characters - not supported");
@@ -1087,7 +1066,7 @@ std::vector<std::string> unicode_regex_split(const std::string & text, const std
                 bpe_offsets = unicode_regex_split_stl(text_collapsed, regex_expr_collapsed, bpe_offsets);
             } else {
                 // no unicode category used, we can use std::wregex directly
-                const std::wstring wregex_expr = unicode_wstring_from_utf8(regex_expr);
+                std::wstring wregex_expr(cpts_regex.begin(), cpts_regex.end());
 
                 // std::wregex \s does not mach non-ASCII whitespaces, using 0x0B as fallback
                 std::wstring wtext(cpts.begin(), cpts.end());
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 350bffc3157..9582164b580 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -149,10 +149,11 @@ endif ()
 if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
     # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API (when building with shared libraries)
     llama_build_and_test(test-sampling.cpp)
+    llama_build_and_test(test-reasoning-budget.cpp)
     llama_build_and_test(test-grammar-parser.cpp)
     llama_build_and_test(test-grammar-integration.cpp)
     llama_build_and_test(test-llama-grammar.cpp)
-    llama_build_and_test(test-chat.cpp)
+    llama_build_and_test(test-chat.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
     # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
     if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
         llama_build_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
@@ -185,13 +186,15 @@ if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
     #llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-baichuan  ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-baichuan.gguf)
 
     # llama_build_and_test(test-double-float.cpp) # SLOW
+
+    llama_build_and_test(test-llama-archs.cpp)
 endif()
 
-llama_build_and_test(test-chat-parser.cpp)
 llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp)
-llama_build_and_test(test-chat-template.cpp)
 llama_build_and_test(test-jinja.cpp)
 llama_test(test-jinja NAME test-jinja-py ARGS -py LABEL python)
+llama_build_and_test(test-chat-auto-parser.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
+llama_build_and_test(test-chat-template.cpp)
 llama_build_and_test(test-json-partial.cpp)
 llama_build_and_test(test-log.cpp)
 llama_build_and_test(
@@ -201,6 +204,7 @@ llama_build_and_test(
     peg-parser/test-gbnf-generation.cpp
     peg-parser/test-json-parser.cpp
     peg-parser/test-json-serialization.cpp
+    peg-parser/test-python-dict-parser.cpp
     peg-parser/test-unicode.cpp
     peg-parser/tests.h
 )
@@ -256,6 +260,22 @@ endif()
 set(LLAMA_TEST_NAME test-mtmd-c-api)
 llama_build_and_test(test-mtmd-c-api.c)
 target_link_libraries(${LLAMA_TEST_NAME} PRIVATE mtmd)
+unset(LLAMA_TEST_NAME)
+
+# GGUF model data fetcher library for tests that need real model metadata
+# Only compile when cpp-httplib has SSL support (CPPHTTPLIB_OPENSSL_SUPPORT)
+if (TARGET cpp-httplib)
+    get_target_property(_cpp_httplib_defs cpp-httplib INTERFACE_COMPILE_DEFINITIONS)
+    if (_cpp_httplib_defs MATCHES "CPPHTTPLIB_OPENSSL_SUPPORT")
+        add_library(gguf-model-data STATIC gguf-model-data.cpp)
+        target_link_libraries(gguf-model-data PRIVATE common cpp-httplib)
+        target_include_directories(gguf-model-data PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})
+
+        add_executable(test-gguf-model-data test-gguf-model-data.cpp)
+        target_link_libraries(test-gguf-model-data PRIVATE gguf-model-data common)
+        llama_test(test-gguf-model-data LABEL "model")
+    endif()
+endif()
 
 # dummy executable - not installed
 get_filename_component(TEST_TARGET test-c.c NAME_WE)
@@ -264,3 +284,6 @@ target_link_libraries(${TEST_TARGET} PRIVATE llama)
 
 llama_build_and_test(test-alloc.cpp)
 target_include_directories(test-alloc PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src)
+
+llama_build(export-graph-ops.cpp)
+target_include_directories(export-graph-ops PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src)
diff --git a/tests/export-graph-ops.cpp b/tests/export-graph-ops.cpp
new file mode 100644
index 00000000000..754089d068e
--- /dev/null
+++ b/tests/export-graph-ops.cpp
@@ -0,0 +1,169 @@
+#include "arg.h"
+#include "common.h"
+#include "log.h"
+#include "llama.h"
+#include "../src/llama-ext.h"
+#include "ggml.h"
+
+#include <array>
+#include <vector>
+#include <set>
+#include <fstream>
+#include <iostream>
+
+struct input_tensor {
+    ggml_type type;
+    std::array<int64_t, 4> ne;
+    std::array<size_t, 4> nb;
+
+    input_tensor(ggml_type type, int64_t * ne, size_t * nb): type(type) {
+        memcpy(this->ne.data(), ne, 4 * sizeof(int64_t));
+        memcpy(this->nb.data(), nb, 4 * sizeof(size_t));
+    }
+
+    bool operator<(const input_tensor &b) const {
+        return std::tie(type, ne, nb) <
+               std::tie(b.type, b.ne, b.nb);
+    }
+
+    void serialize(std::ostream& out) const {
+        out << type << ' ';
+        for (size_t i = 0; i < 4; i++) {
+            out << ne[i] << ' ';
+        }
+        for (size_t i = 0; i < 4; i++) {
+            out << nb[i] << ' ';
+        }
+    }
+};
+
+struct test_object {
+    ggml_op op;
+    ggml_type type;
+    std::array<int64_t, 4> ne;
+    std::vector<int32_t> op_params;
+    std::vector<input_tensor> sources;
+    std::string name;
+
+    void serialize(std::ostream& out) const {
+        out << op << ' ' << type << ' ';
+        for (size_t i = 0; i < 4; i++) {
+            out << ne[i] << ' ';
+        }
+
+        out << op_params.size() << ' ';
+        for (size_t i = 0; i < op_params.size(); i++) {
+            out << op_params[i] << ' ';
+        }
+
+        out << sources.size() << ' ';
+        for (size_t s = 0; s < sources.size(); s++) {
+            sources[s].serialize(out);
+        }
+
+        if (!name.empty()) {
+            out << name;
+        } else {
+            out << '-';
+        }
+
+        out << '\n';
+    }
+
+    bool operator<(const test_object &b) const {
+        return std::tie(op, type, ne, op_params, sources) <
+               std::tie(b.op, b.type, b.ne, b.op_params, b.sources);
+    }
+};
+
+static void extract_graph_ops(ggml_cgraph * cgraph, const char * label, std::set<test_object> & tests) {
+    int n_nodes = ggml_graph_n_nodes(cgraph);
+    int n_skipped = 0;
+    int n_before = (int) tests.size();
+    for (int i = 0; i < n_nodes; i++) {
+        ggml_tensor * node = ggml_graph_node(cgraph, i);
+
+        if (node->op == GGML_OP_NONE || node->op == GGML_OP_VIEW || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_TRANSPOSE) {
+            n_skipped++;
+            continue;
+        }
+
+        test_object test;
+
+        test.op = node->op;
+        test.type = node->type;
+        memcpy(&test.ne, node->ne, 4 * sizeof(int64_t));
+
+        test.op_params.resize(GGML_MAX_OP_PARAMS / sizeof(int32_t));
+        memcpy(test.op_params.data(), node->op_params, GGML_MAX_OP_PARAMS);
+
+        for (size_t s = 0; s < GGML_MAX_SRC; s++) {
+            if (node->src[s] == nullptr) {
+                break;
+            }
+
+            test.sources.emplace_back(node->src[s]->type, node->src[s]->ne, node->src[s]->nb);
+        }
+
+        test.name = node->name;
+        tests.insert(test);
+    }
+
+    int n_new = (int) tests.size() - n_before;
+    LOG_INF("%s: %d unique ops, %d total nodes, %d skipped (view ops)\n",
+            label, n_new, n_nodes, n_skipped);
+}
+
+int main(int argc, char ** argv) {
+    common_params params;
+    params.out_file = "tests.txt";
+
+    if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS)) {
+        return 1;
+    }
+
+    common_init();
+
+    // Load CPU-only
+    ggml_backend_dev_t cpu_device = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
+    params.devices = { cpu_device, nullptr };
+    params.fit_params = false;
+    params.n_gpu_layers = 0;
+
+    params.warmup = false;
+
+    auto init_result = common_init_from_params(params);
+
+    llama_context * ctx = init_result->context();
+
+    const uint32_t n_seqs  = llama_n_seq_max(ctx);
+    const uint32_t n_tokens = std::min(llama_n_ctx(ctx), llama_n_ubatch(ctx));
+
+    std::set<test_object> tests;
+
+    auto * gf_pp = llama_graph_reserve(ctx, n_tokens, n_seqs, n_tokens);
+    if (!gf_pp) {
+        throw std::runtime_error("failed to reserve prompt processing graph");
+    }
+    extract_graph_ops(gf_pp, "pp", tests);
+
+    auto * gf_tg = llama_graph_reserve(ctx, n_seqs, n_seqs, n_seqs);
+    if (!gf_tg) {
+        throw std::runtime_error("failed to reserve token generation graph");
+    }
+    extract_graph_ops(gf_tg, "tg", tests);
+
+    LOG_INF("%d unique ops total\n", (int) tests.size());
+
+    std::ofstream f(params.out_file);
+
+    if (!f.is_open()) {
+        throw std::runtime_error("Unable to open output file");
+    }
+
+    for (const auto& test : tests) {
+        test.serialize(f);
+    }
+
+    return 0;
+}
diff --git a/tests/gguf-model-data.cpp b/tests/gguf-model-data.cpp
new file mode 100644
index 00000000000..3bc82c88dac
--- /dev/null
+++ b/tests/gguf-model-data.cpp
@@ -0,0 +1,613 @@
+// GGUF binary parser adapted from the huggingface/gguf package.
+// Reference: https://github.com/huggingface/huggingface.js
+
+#include "gguf-model-data.h"
+
+#include "common.h"
+#include "gguf.h"
+
+#include <algorithm>
+#include <cstdio>
+#include <cstring>
+#include <filesystem>
+#include <fstream>
+
+#include "http.h"
+#define JSON_ASSERT GGML_ASSERT
+#include <nlohmann/json.hpp>
+
+// Equivalent of RangeView
+struct gguf_buf_reader {
+    const char * data;
+    size_t       size;
+    size_t       pos;
+
+    gguf_buf_reader(const std::vector<char> & buf) : data(buf.data()), size(buf.size()), pos(0) {}
+
+    bool has_n_bytes(size_t n) const {
+        return pos + n <= size;
+    }
+
+    template <typename T>
+    bool read_val(T & out) {
+        if (!has_n_bytes(sizeof(T))) {
+            return false;
+        }
+        memcpy(&out, data + pos, sizeof(T));
+        pos += sizeof(T);
+        return true;
+    }
+
+    bool read_str(std::string & out) {
+        uint64_t len;
+        if (!read_val(len)) {
+            return false;
+        }
+        if (!has_n_bytes((size_t)len)) {
+            return false;
+        }
+        out.assign(data + pos, (size_t)len);
+        pos += (size_t)len;
+        return true;
+    }
+
+    bool skip(size_t n) {
+        if (!has_n_bytes(n)) {
+            return false;
+        }
+        pos += n;
+        return true;
+    }
+};
+
+static size_t gguf_val_type_size(int32_t vtype) {
+    switch (vtype) {
+        case GGUF_TYPE_UINT8:   return 1;
+        case GGUF_TYPE_INT8:    return 1;
+        case GGUF_TYPE_UINT16:  return 2;
+        case GGUF_TYPE_INT16:   return 2;
+        case GGUF_TYPE_UINT32:  return 4;
+        case GGUF_TYPE_INT32:   return 4;
+        case GGUF_TYPE_FLOAT32: return 4;
+        case GGUF_TYPE_BOOL:    return 1;
+        case GGUF_TYPE_UINT64:  return 8;
+        case GGUF_TYPE_INT64:   return 8;
+        case GGUF_TYPE_FLOAT64: return 8;
+        default:                return 0; // string/array handled separately
+    }
+}
+
+// Equivalent of readMetadataValue(), skips unused values rather than storing
+static bool gguf_skip_value(gguf_buf_reader & r, int32_t vtype) {
+    if (vtype == GGUF_TYPE_STRING) {
+        std::string tmp;
+        return r.read_str(tmp);
+    }
+    if (vtype == GGUF_TYPE_ARRAY) {
+        int32_t elem_type;
+        uint64_t count;
+        if (!r.read_val(elem_type)) {
+            return false;
+        }
+        if (!r.read_val(count)) {
+            return false;
+        }
+        if (elem_type == GGUF_TYPE_STRING) {
+            for (uint64_t i = 0; i < count; i++) {
+                std::string tmp;
+                if (!r.read_str(tmp)) {
+                    return false;
+                }
+            }
+            return true;
+        }
+        if (elem_type == GGUF_TYPE_ARRAY) {
+            // nested arrays - recurse
+            for (uint64_t i = 0; i < count; i++) {
+                if (!gguf_skip_value(r, GGUF_TYPE_ARRAY)) {
+                    return false;
+                }
+            }
+            return true;
+        }
+        size_t elem_sz = gguf_val_type_size(elem_type);
+        if (elem_sz == 0) {
+            return false;
+        }
+        return r.skip((size_t)count * elem_sz);
+    }
+    size_t sz = gguf_val_type_size(vtype);
+    if (sz == 0) {
+        return false;
+    }
+    return r.skip(sz);
+}
+
+static bool gguf_read_uint32_val(gguf_buf_reader & r, int32_t vtype, uint32_t & out) {
+    if (vtype == GGUF_TYPE_UINT8) {
+        uint8_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_INT8) {
+        int8_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = (uint32_t)v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_UINT16) {
+        uint16_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_INT16) {
+        int16_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = (uint32_t)v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_UINT32) {
+        uint32_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_INT32) {
+        int32_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = (uint32_t)v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_UINT64) {
+        uint64_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = (uint32_t)v;
+        return true;
+    }
+    if (vtype == GGUF_TYPE_INT64) {
+        int64_t v;
+        if (!r.read_val(v)) {
+            return false;
+        }
+        out = (uint32_t)v;
+        return true;
+    }
+    return false;
+}
+
+// Follows the same header -> KV -> tensor parsing sequence as gguf() huggingface/gguf
+static std::optional<gguf_remote_model> gguf_parse_meta(const std::vector<char> & buf) {
+    gguf_buf_reader r(buf);
+
+    // Header: magic(4) + version(4) + tensor_count(8) + kv_count(8) = 24 bytes minimum
+    uint32_t magic_raw;
+    if (!r.read_val(magic_raw)) {
+        return std::nullopt;
+    }
+    if (memcmp(&magic_raw, "GGUF", 4) != 0) {
+        fprintf(stderr, "gguf_parse_meta: invalid magic\n");
+        return std::nullopt;
+    }
+
+    uint32_t version;
+    if (!r.read_val(version)) {
+        return std::nullopt;
+    }
+    if (version < 2 || version > 3) {
+        fprintf(stderr, "gguf_parse_meta: unsupported version %u\n", version);
+        return std::nullopt;
+    }
+
+    int64_t tensor_count_raw;
+    int64_t kv_count_raw;
+    if (!r.read_val(tensor_count_raw)) {
+        return std::nullopt;
+    }
+    if (!r.read_val(kv_count_raw)) {
+        return std::nullopt;
+    }
+
+    uint64_t tensor_count = (uint64_t)tensor_count_raw;
+    uint64_t kv_count     = (uint64_t)kv_count_raw;
+
+    gguf_remote_model model;
+
+    std::string arch_prefix;
+
+    // Parse KV pairs
+    for (uint64_t i = 0; i < kv_count; i++) {
+        std::string key;
+        if (!r.read_str(key)) {
+            return std::nullopt;
+        }
+
+        int32_t vtype;
+        if (!r.read_val(vtype)) {
+            return std::nullopt;
+        }
+
+        if (key == "general.architecture" && vtype == GGUF_TYPE_STRING) {
+            if (!r.read_str(model.architecture)) {
+                return std::nullopt;
+            }
+            arch_prefix = model.architecture + ".";
+            continue;
+        }
+
+        // Extract split.count for proper handling of split files
+        if (key == "split.count") {
+            uint32_t v;
+            if (!gguf_read_uint32_val(r, vtype, v)) {
+                return std::nullopt;
+            }
+            model.n_split = (uint16_t)v;
+            continue;
+        }
+
+        // Extract split.tensors.count so we can verify we have all tensors
+        if (key == "split.tensors.count") {
+            uint32_t v;
+            if (!gguf_read_uint32_val(r, vtype, v)) {
+                return std::nullopt;
+            }
+            model.n_split_tensors = v;
+            continue;
+        }
+
+        if (!arch_prefix.empty()) {
+            uint32_t * target = nullptr;
+
+            if      (key == arch_prefix + "embedding_length")         { target = &model.n_embd; }
+            else if (key == arch_prefix + "feed_forward_length")      { target = &model.n_ff; }
+            else if (key == arch_prefix + "block_count")              { target = &model.n_layer; }
+            else if (key == arch_prefix + "attention.head_count")     { target = &model.n_head; }
+            else if (key == arch_prefix + "attention.head_count_kv")  { target = &model.n_head_kv; }
+            else if (key == arch_prefix + "expert_count")             { target = &model.n_expert; }
+            else if (key == arch_prefix + "attention.key_length")     { target = &model.n_embd_head_k; }
+            else if (key == arch_prefix + "attention.value_length")   { target = &model.n_embd_head_v; }
+
+            if (target) {
+                if (!gguf_read_uint32_val(r, vtype, *target)) {
+                    return std::nullopt;
+                }
+                continue;
+            }
+        }
+
+        if (!gguf_skip_value(r, vtype)) {
+            return std::nullopt;
+        }
+    }
+
+    // Parse tensor info entries
+    model.tensors.reserve((size_t)tensor_count);
+    for (uint64_t i = 0; i < tensor_count; i++) {
+        gguf_remote_tensor t;
+
+        if (!r.read_str(t.name)) {
+            return std::nullopt;
+        }
+        if (!r.read_val(t.n_dims)) {
+            return std::nullopt;
+        }
+
+        if (t.n_dims > 4) {
+            fprintf(stderr, "gguf_parse_meta: tensor '%s' has %u dims (max 4)\n", t.name.c_str(), t.n_dims);
+            return std::nullopt;
+        }
+
+        for (uint32_t d = 0; d < t.n_dims; d++) {
+            if (!r.read_val(t.ne[d])) {
+                return std::nullopt;
+            }
+        }
+
+        int32_t type_raw;
+        if (!r.read_val(type_raw)) {
+            return std::nullopt;
+        }
+        t.type = (ggml_type)type_raw;
+
+        uint64_t offset;
+        if (!r.read_val(offset)) {
+            return std::nullopt;
+        }
+
+        // Infer n_vocab from token_embd.weight
+        if (t.name == "token_embd.weight") {
+            model.n_vocab = (uint32_t)t.ne[1];
+        }
+
+        model.tensors.push_back(std::move(t));
+    }
+
+    return model;
+}
+
+// cache handling for local download
+static std::string get_default_cache_dir() {
+    return fs_get_cache_directory() + "gguf-headers/";
+}
+
+static std::string sanitize_for_path(const std::string & s) {
+    std::string out = s;
+    for (char & c : out) {
+        if (c == '/' || c == '\\' || c == ':') {
+            c = '_';
+        }
+    }
+    return out;
+}
+
+static bool read_file(const std::string & path, std::vector<char> & out) {
+    std::ifstream f(path, std::ios::binary | std::ios::ate);
+    if (!f.good()) {
+        return false;
+    }
+    auto sz = f.tellg();
+    if (sz <= 0) {
+        return false;
+    }
+    out.resize((size_t)sz);
+    f.seekg(0);
+    f.read(out.data(), sz);
+    return f.good();
+}
+
+static bool write_file(const std::string & path, const std::vector<char> & data) {
+    std::ofstream f(path, std::ios::binary | std::ios::trunc);
+    if (!f.good()) {
+        return false;
+    }
+    f.write(data.data(), (std::streamsize)data.size());
+    return f.good();
+}
+
+// HuggingFace file auto-detection and HTTP download
+static std::pair<long, std::vector<char>> gguf_http_get(
+        const std::string & url,
+        const httplib::Headers & headers = {},
+        int timeout_sec = 60) {
+    try {
+        auto [cli, parts] = common_http_client(url);
+
+        if (timeout_sec > 0) {
+            cli.set_read_timeout(timeout_sec, 0);
+            cli.set_write_timeout(timeout_sec, 0);
+        }
+        cli.set_connection_timeout(30, 0);
+
+        std::vector<char> body;
+        auto res = cli.Get(parts.path, headers,
+            [&](const char * data, size_t len) {
+                body.insert(body.end(), data, data + len);
+                return true;
+            }, nullptr);
+
+        if (!res) {
+            fprintf(stderr, "gguf_fetch: HTTP request failed for %s (error %d)\n",
+                    url.c_str(), (int)res.error());
+            return {-1, {}};
+        }
+        return {res->status, std::move(body)};
+    } catch (const std::exception & e) {
+        fprintf(stderr, "gguf_fetch: HTTP error: %s\n", e.what());
+        return {-1, {}};
+    }
+}
+
+// Find the filename for given repo/quant.
+// For split models, returns the first shard (the one containing "00001-of-")
+// split_prefix is set to the portion before "-00001-of-XXXXX.gguf" when a split file is found
+static std::string detect_gguf_filename(const std::string & repo, const std::string & quant,
+                                        std::string & split_prefix) {
+    split_prefix.clear();
+    std::string api_url = "https://huggingface.co/api/models/" + repo;
+
+    auto [code, body] = gguf_http_get(api_url, {}, 30);
+    if (code != 200 || body.empty()) {
+        fprintf(stderr, "gguf_fetch: failed to query HF API for %s (HTTP %ld)\n", repo.c_str(), code);
+        return "";
+    }
+
+    nlohmann::json j;
+    try {
+        j = nlohmann::json::parse(body.begin(), body.end());
+    } catch (...) {
+        fprintf(stderr, "gguf_fetch: failed to parse HF API response\n");
+        return "";
+    }
+
+    if (!j.contains("siblings") || !j["siblings"].is_array()) {
+        fprintf(stderr, "gguf_fetch: unexpected HF API response format\n");
+        return "";
+    }
+
+    std::vector<std::string> matches;
+    std::string quant_upper = quant;
+    for (char & c : quant_upper) { c = (char)toupper(c); }
+
+    for (const auto & sibling : j["siblings"]) {
+        if (!sibling.contains("rfilename")) { continue; }
+        std::string fname = sibling["rfilename"].get<std::string>();
+        if (fname.size() < 5 || fname.substr(fname.size() - 5) != ".gguf") {
+            continue;
+        }
+
+        std::string fname_upper = fname;
+        for (char & c : fname_upper) { c = (char)toupper(c); }
+        if (fname_upper.find(quant_upper) != std::string::npos) {
+            matches.push_back(fname);
+        }
+    }
+
+    if (matches.empty()) {
+        fprintf(stderr, "gguf_fetch: no .gguf files matching '%s' in %s\n", quant.c_str(), repo.c_str());
+        return "";
+    }
+
+    std::sort(matches.begin(), matches.end());
+
+    // Prefer non-split, non-supplementary file
+    for (const auto & m : matches) {
+        if (m.find("-of-") == std::string::npos && m.find("mmproj") == std::string::npos) {
+            return m;
+        }
+    }
+
+    // Return the first shard (00001-of-) and extract the prefix
+    for (const auto & m : matches) {
+        auto pos = m.find("-00001-of-");
+        if (pos != std::string::npos) {
+            split_prefix = m.substr(0, pos);
+            return m;
+        }
+    }
+
+    return matches[0];
+}
+
+static std::optional<gguf_remote_model> fetch_and_parse(
+        const std::string & repo,
+        const std::string & filename,
+        const std::string & cache_path) {
+    std::string url = "https://huggingface.co/" + repo + "/resolve/main/" + filename;
+
+    // Progressive download inspired by RangeView.fetchChunk()
+    // Start at 2MB, double each time, cap at 64MB
+    size_t chunk_size = 2 * 1024 * 1024;
+    const size_t max_chunk = 64 * 1024 * 1024;
+
+    while (chunk_size <= max_chunk) {
+        fprintf(stderr, "gguf_fetch: downloading %zu bytes from %s\n", chunk_size, filename.c_str());
+
+        char range_buf[64];
+        snprintf(range_buf, sizeof(range_buf), "bytes=0-%zu", chunk_size - 1);
+        httplib::Headers headers = {{"Range", range_buf}};
+
+        auto [code, body] = gguf_http_get(url, headers, 120);
+        if (code != 200 && code != 206) {
+            fprintf(stderr, "gguf_fetch: HTTP %ld fetching %s\n", code, url.c_str());
+            return std::nullopt;
+        }
+
+        if (body.empty()) {
+            fprintf(stderr, "gguf_fetch: empty response\n");
+            return std::nullopt;
+        }
+
+        auto result = gguf_parse_meta(body);
+        if (result.has_value()) {
+            write_file(cache_path, body);
+            return result;
+        }
+
+        if (code == 200) {
+            fprintf(stderr, "gguf_fetch: server returned full response but metadata parse failed\n");
+            return std::nullopt;
+        }
+
+        // Parse failed, try larger chunk
+        chunk_size *= 2;
+    }
+
+    fprintf(stderr, "gguf_fetch: metadata exceeds 64MB, giving up\n");
+    return std::nullopt;
+}
+
+// Try cache first, then fetch and parse a single GGUF shard.
+static std::optional<gguf_remote_model> fetch_or_cached(
+        const std::string & repo,
+        const std::string & filename,
+        const std::string & cdir,
+        const std::string & repo_part) {
+    std::string fname_part = sanitize_for_path(filename);
+    std::string cache_path = cdir + "/" + repo_part + "--" + fname_part + ".partial";
+
+    {
+        std::vector<char> cached;
+        if (std::filesystem::exists(cache_path) && read_file(cache_path, cached)) {
+            auto result = gguf_parse_meta(cached);
+            if (result.has_value()) {
+                fprintf(stderr, "gguf_fetch: loaded from cache: %s\n", cache_path.c_str());
+                return result;
+            }
+        }
+    }
+
+    fs_create_directory_with_parents(cdir);
+    return fetch_and_parse(repo, filename, cache_path);
+}
+
+std::optional<gguf_remote_model> gguf_fetch_model_meta(
+        const std::string & repo,
+        const std::string & quant,
+        const std::string & cache_dir) {
+    std::string cdir = cache_dir.empty() ? get_default_cache_dir() : cache_dir;
+    std::string repo_part = sanitize_for_path(repo);
+
+    std::string split_prefix;
+    std::string filename = detect_gguf_filename(repo, quant, split_prefix);
+    if (filename.empty()) {
+        return std::nullopt;
+    }
+
+    auto model_opt = fetch_or_cached(repo, filename, cdir, repo_part);
+    if (!model_opt.has_value()) {
+        fprintf(stderr, "gguf_fetch: failed to fetch %s\n", filename.c_str());
+        return std::nullopt;
+    }
+
+    auto & model = model_opt.value();
+
+    // If the model is split across multiple files we need to fetch the remaining shards metadata
+    if (model.n_split > 1) {
+        if (split_prefix.empty()) {
+            fprintf(stderr, "gguf_fetch: model reports %u splits but filename has no split pattern\n", model.n_split);
+            return std::nullopt;
+        }
+
+        fprintf(stderr, "gguf_fetch: split model with %u shards, fetching remaining %u...\n",
+                model.n_split, model.n_split - 1);
+
+        for (int i = 2; i <= model.n_split; i++) {
+            char num_buf[6], total_buf[6];
+            snprintf(num_buf,   sizeof(num_buf),   "%05d", i);
+            snprintf(total_buf, sizeof(total_buf), "%05d", (int)model.n_split);
+            std::string shard_name = split_prefix + "-" + num_buf + "-of-" + total_buf + ".gguf";
+
+            auto shard = fetch_or_cached(repo, shard_name, cdir, repo_part);
+            if (!shard.has_value()) {
+                fprintf(stderr, "gguf_fetch: failed to fetch shard %d: %s\n", i, shard_name.c_str());
+                return std::nullopt;
+            }
+
+            model.tensors.insert(model.tensors.end(),
+                std::make_move_iterator(shard->tensors.begin()),
+                std::make_move_iterator(shard->tensors.end()));
+        }
+
+        if (model.n_split_tensors > 0 && model.tensors.size() != model.n_split_tensors) {
+            fprintf(stderr, "gguf_fetch: WARNING: expected %u tensors from split.tensors.count, got %zu\n",
+                    model.n_split_tensors, model.tensors.size());
+        }
+    }
+
+    return model_opt;
+}
diff --git a/tests/gguf-model-data.h b/tests/gguf-model-data.h
new file mode 100644
index 00000000000..ed433791ad7
--- /dev/null
+++ b/tests/gguf-model-data.h
@@ -0,0 +1,42 @@
+#pragma once
+
+#include "ggml.h"
+
+#include <cstdint>
+#include <optional>
+#include <string>
+#include <vector>
+
+struct gguf_remote_tensor {
+    std::string  name;
+    ggml_type    type    = GGML_TYPE_F32;
+    int64_t      ne[4]   = {1, 1, 1, 1};  // dimensions, unused dims = 1
+    uint32_t     n_dims  = 0;
+};
+
+struct gguf_remote_model {
+    // Selected KV metadata
+    std::string architecture;               // general.architecture
+    uint32_t    n_embd          = 0;        // <arch>.embedding_length
+    uint32_t    n_ff            = 0;        // <arch>.feed_forward_length
+    uint32_t    n_vocab         = 0;        // inferred from token_embd.weight ne[1]
+    uint32_t    n_layer         = 0;        // <arch>.block_count
+    uint32_t    n_head          = 0;        // <arch>.attention.head_count
+    uint32_t    n_head_kv       = 0;        // <arch>.attention.head_count_kv
+    uint32_t    n_expert        = 0;        // <arch>.expert_count (0 if absent)
+    uint32_t    n_embd_head_k   = 0;        // <arch>.attention.key_length
+    uint32_t    n_embd_head_v   = 0;        // <arch>.attention.value_length
+    uint16_t    n_split         = 0;        // split.count (0 = not split)
+    uint32_t    n_split_tensors = 0;        // split.tensors.count (0 if not split)
+
+    std::vector<gguf_remote_tensor> tensors;
+};
+
+// Fetch model metadata from HuggingFace with local caching.
+// repo: e.g., "ggml-org/Qwen3-32B-GGUF"
+// quant: e.g., "Q8_0" -- auto-detects filename (including first shard of split models)
+// Returns nullopt if download fails or network is unavailable.
+std::optional<gguf_remote_model> gguf_fetch_model_meta(
+    const std::string & repo,
+    const std::string & quant = "Q8_0",
+    const std::string & cache_dir = "");  // empty = default
diff --git a/tests/peg-parser/test-basic.cpp b/tests/peg-parser/test-basic.cpp
index 1bda6f2e690..b6af61491d7 100644
--- a/tests/peg-parser/test-basic.cpp
+++ b/tests/peg-parser/test-basic.cpp
@@ -1,3 +1,4 @@
+#include "peg-parser.h"
 #include "tests.h"
 
 void test_basic(testing & t) {
@@ -119,7 +120,7 @@ void test_basic(testing & t) {
                 return p.literal("hello") + p.optional(p.literal(" world"));
             });
 
-            auto ctx    = common_peg_parse_context("hello", false);
+            auto ctx    = common_peg_parse_context("hello");
             auto result = parser.parse(ctx);
             t.assert_equal("optional_absent", true, result.success());
             t.assert_equal("optional_absent_end", 5u, result.end);
@@ -131,7 +132,7 @@ void test_basic(testing & t) {
                 return p.literal("hello") + p.optional(p.literal(" world"));
             });
 
-            auto ctx    = common_peg_parse_context("hello ", true);
+            auto ctx    = common_peg_parse_context("hello ", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("partial_match_need_more", true, result.need_more_input());
         });
@@ -214,7 +215,7 @@ void test_basic(testing & t) {
         t.test("sequence_partial_match_1", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("<think>") + p.literal("</think>"); });
 
-            auto ctx    = common_peg_parse_context("<thi", true);
+            auto ctx    = common_peg_parse_context("<thi", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("sequence_partial_match_1", true, result.need_more_input());
         });
@@ -223,7 +224,7 @@ void test_basic(testing & t) {
         t.test("sequence_partial_match_2", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("begin") + p.literal("end"); });
 
-            auto ctx    = common_peg_parse_context("begin", true);
+            auto ctx    = common_peg_parse_context("begin", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("sequence_partial_match_2", true, result.need_more_input());
         });
@@ -232,7 +233,7 @@ void test_basic(testing & t) {
         t.test("sequence_partial_match_3", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("<think>") + p.literal("</think>"); });
 
-            auto ctx    = common_peg_parse_context("<think></", true);
+            auto ctx    = common_peg_parse_context("<think></", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("sequence_partial_match_3", true, result.need_more_input());
         });
@@ -241,7 +242,7 @@ void test_basic(testing & t) {
         t.test("sequence_full_match", [&](testing & t) {
             auto common_chat_combinator_parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("hello") + p.literal("world"); });
 
-            auto ctx    = common_peg_parse_context("helloworld", false);
+            auto ctx    = common_peg_parse_context("helloworld");
             auto result = common_chat_combinator_parser.parse(ctx);
             t.assert_equal("sequence_full_match", true, result.success());
         });
@@ -250,7 +251,7 @@ void test_basic(testing & t) {
         t.test("sequence_no_match", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("<think>") + p.literal("</think>"); });
 
-            auto ctx    = common_peg_parse_context("<think>I am common_chat_combinator_parser", true);
+            auto ctx    = common_peg_parse_context("<think>I am common_chat_combinator_parser", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("sequence_no_match", true, result.fail());
         });
@@ -259,7 +260,7 @@ void test_basic(testing & t) {
         t.test("choices_partial_match_1", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("option1") | p.literal("option2"); });
 
-            auto ctx    = common_peg_parse_context("opt", true);
+            auto ctx    = common_peg_parse_context("opt", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("choices_partial_match_1", true, result.need_more_input());
         });
@@ -269,7 +270,7 @@ void test_basic(testing & t) {
             auto parser =
                 build_peg_parser([](common_peg_parser_builder & p) { return p.literal("choice_a") | p.literal("choice_b"); });
 
-            auto ctx    = common_peg_parse_context("choice", true);
+            auto ctx    = common_peg_parse_context("choice", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("choices_partial_match_2", true, result.need_more_input());
         });
@@ -278,7 +279,7 @@ void test_basic(testing & t) {
         t.test("choices_full_match_1", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("first") | p.literal("second"); });
 
-            auto ctx    = common_peg_parse_context("first", false);
+            auto ctx    = common_peg_parse_context("first");
             auto result = parser.parse(ctx);
             t.assert_equal("choices_full_match_1", true, result.success());
         });
@@ -287,7 +288,7 @@ void test_basic(testing & t) {
         t.test("choices_full_match_2", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("alpha") | p.literal("beta"); });
 
-            auto ctx    = common_peg_parse_context("beta", false);
+            auto ctx    = common_peg_parse_context("beta");
             auto result = parser.parse(ctx);
             t.assert_equal("choices_full_match_2", true, result.success());
         });
@@ -296,7 +297,7 @@ void test_basic(testing & t) {
         t.test("choices_no_match", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("good") | p.literal("better"); });
 
-            auto ctx    = common_peg_parse_context("best", false);
+            auto ctx    = common_peg_parse_context("best");
             auto result = parser.parse(ctx);
             t.assert_equal("choices_no_match", true, result.fail());
         });
@@ -305,7 +306,7 @@ void test_basic(testing & t) {
         t.test("zero_or_more_partial_match_1", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("ab")); });
 
-            auto ctx    = common_peg_parse_context("a", true);
+            auto ctx    = common_peg_parse_context("a", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("zero_or_more_partial_match_1", true, result.need_more_input());
         });
@@ -314,7 +315,7 @@ void test_basic(testing & t) {
         t.test("zero_or_more_partial_match_2", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("xy")); });
 
-            auto ctx    = common_peg_parse_context("xyx", true);
+            auto ctx    = common_peg_parse_context("xyx", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("zero_or_more_partial_match_2", true, result.need_more_input());
         });
@@ -323,7 +324,7 @@ void test_basic(testing & t) {
         t.test("zero_or_more_full_match", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("test")); });
 
-            auto ctx    = common_peg_parse_context("test", false);
+            auto ctx    = common_peg_parse_context("test");
             auto result = parser.parse(ctx);
             t.assert_equal("zero_or_more_full_match", true, result.success());
         });
@@ -332,7 +333,7 @@ void test_basic(testing & t) {
         t.test("one_or_more_partial_match_1", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("repeat")); });
 
-            auto ctx    = common_peg_parse_context("rep", true);
+            auto ctx    = common_peg_parse_context("rep", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("one_or_more_partial_match_1", true, result.need_more_input());
         });
@@ -341,7 +342,7 @@ void test_basic(testing & t) {
         t.test("one_or_more_partial_match_2", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("ab")); });
 
-            auto ctx    = common_peg_parse_context("aba", true);
+            auto ctx    = common_peg_parse_context("aba", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto result = parser.parse(ctx);
             t.assert_equal("one_or_more_partial_match_2", true, result.need_more_input());
         });
@@ -350,7 +351,7 @@ void test_basic(testing & t) {
         t.test("one_or_more_full_match", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("single")); });
 
-            auto ctx    = common_peg_parse_context("single", false);
+            auto ctx    = common_peg_parse_context("single");
             auto result = parser.parse(ctx);
             t.assert_equal("one_or_more_full_match", true, result.success());
         });
@@ -359,7 +360,7 @@ void test_basic(testing & t) {
         t.test("one_or_more_no_match", [&](testing & t) {
             auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("()")); });
 
-            auto ctx    = common_peg_parse_context("success", false);
+            auto ctx    = common_peg_parse_context("success");
             auto result = parser.parse(ctx);
             t.assert_equal("one_or_more_no_match", true, result.fail());
         });
@@ -375,7 +376,7 @@ void test_basic(testing & t) {
                 return p.rule("value", p.ref("number") | p.ref("list"));
             });
 
-            common_peg_parse_context ctx("1", false);
+            common_peg_parse_context ctx("1");
             auto           result = value_parser.parse(ctx);
 
             t.assert_equal("result_is_success", true, result.success());
@@ -389,7 +390,7 @@ void test_basic(testing & t) {
                 return p.rule("value", p.ref("number") | p.ref("list"));
             });
 
-            common_peg_parse_context ctx("[1]", false);
+            common_peg_parse_context ctx("[1]");
             auto           result = value_parser.parse(ctx);
 
             t.assert_equal("result_is_success", true, result.success());
@@ -403,7 +404,7 @@ void test_basic(testing & t) {
                 return p.rule("value", p.ref("number") | p.ref("list"));
             });
 
-            common_peg_parse_context ctx("[[2]]", false);
+            common_peg_parse_context ctx("[[2]]");
             auto           result = value_parser.parse(ctx);
 
             t.assert_equal("result_is_success", true, result.success());
@@ -417,7 +418,7 @@ void test_basic(testing & t) {
                 return p.rule("value", p.ref("number") | p.ref("list"));
             });
 
-            common_peg_parse_context ctx("[[[3]]]", false);
+            common_peg_parse_context ctx("[[[3]]]");
             auto           result = value_parser.parse(ctx);
 
             t.assert_equal("result_is_success", true, result.success());
@@ -431,7 +432,7 @@ void test_basic(testing & t) {
                 return p.rule("value", p.ref("number") | p.ref("list"));
             });
 
-            common_peg_parse_context ctx("[[", true);
+            common_peg_parse_context ctx("[[", COMMON_PEG_PARSE_FLAG_LENIENT);
             auto           result = value_parser.parse(ctx);
 
             t.assert_equal("result_is_need_more_input", true, result.need_more_input());
@@ -445,10 +446,26 @@ void test_basic(testing & t) {
                 return p.rule("value", p.ref("number") | p.ref("list"));
             });
 
-            common_peg_parse_context ctx("[a]", false);
+            common_peg_parse_context ctx("[a]");
             auto           result = value_parser.parse(ctx);
 
             t.assert_equal("result_is_fail", true, result.fail());
         });
+
+        // Test markers
+        t.test("marker", [](testing &t) {
+            auto bracket_parser = build_peg_parser([](common_peg_parser_builder & p) {
+                return p.marker();
+            });
+
+            common_peg_parse_context ctx_square("[marker]");
+            common_peg_parse_context ctx_sharp("<marker>");
+
+            auto result_square = bracket_parser.parse(ctx_square);
+            auto result_sharp = bracket_parser.parse(ctx_sharp);
+
+            t.assert_true("result_square_is_success", result_square.success());
+            t.assert_true("result_sharp_is_success", result_sharp.success());
+        });
     });
 }
diff --git a/tests/peg-parser/test-json-parser.cpp b/tests/peg-parser/test-json-parser.cpp
index 48351cd66ff..5dd00115cea 100644
--- a/tests/peg-parser/test-json-parser.cpp
+++ b/tests/peg-parser/test-json-parser.cpp
@@ -46,7 +46,7 @@ void test_json_parser(testing &t) {
         auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); });
 
         std::string    input = R"({"name": "test", "value": )";
-        common_peg_parse_context ctx(input, true);
+        common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
 
         auto result = json.parse(ctx);
 
@@ -58,7 +58,7 @@ void test_json_parser(testing &t) {
         auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); });
 
         std::string    input = R"([1, 2, 3, )";
-        common_peg_parse_context ctx(input, true);
+        common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
 
         auto result = json.parse(ctx);
 
@@ -70,7 +70,7 @@ void test_json_parser(testing &t) {
         auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); });
 
         std::string    input = R"({"data": {"nested": )";
-        common_peg_parse_context ctx(input, true);
+        common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
 
         auto result = json.parse(ctx);
 
@@ -84,7 +84,7 @@ void test_json_parser(testing &t) {
 
         t.test("success", [&](testing &t) {
             std::string input = R"("name": "bob")";
-            common_peg_parse_context ctx(input, false);
+            common_peg_parse_context ctx(input);
 
             auto result = parser.parse(ctx);
             t.assert_true("success", result.success());
@@ -92,7 +92,7 @@ void test_json_parser(testing &t) {
 
         t.test("partial", [&](testing &t) {
             std::string input = R"("name": "bo)";
-            common_peg_parse_context ctx(input, true);
+            common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
 
             auto result = parser.parse(ctx);
             t.assert_true("need more input", result.need_more_input());
@@ -100,7 +100,7 @@ void test_json_parser(testing &t) {
 
         t.test("failed", [&](testing &t) {
             std::string input = R"([])";
-            common_peg_parse_context ctx(input, false);
+            common_peg_parse_context ctx(input);
 
             auto result = parser.parse(ctx);
             t.assert_true("fail", result.fail());
diff --git a/tests/peg-parser/test-python-dict-parser.cpp b/tests/peg-parser/test-python-dict-parser.cpp
new file mode 100644
index 00000000000..1a549106b82
--- /dev/null
+++ b/tests/peg-parser/test-python-dict-parser.cpp
@@ -0,0 +1,318 @@
+#include "tests.h"
+
+void test_python_dict_parser(testing &t) {
+    // Test parsing a simple Python dict object with single quotes
+    t.test("simple Python dict object parsing", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'name': 'test', 'value': 42, 'flag': True}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test parsing a Python array with mixed types
+    t.test("Python array with mixed types", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "[1, 'hello', True, None, 3.14]";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test parsing nested Python dict with objects and arrays
+    t.test("nested Python dict with objects and arrays", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string input =
+            "{'users': [{'id': 1, 'name': 'Alice'}, {'id': 2, 'name': 'Bob'}], 'count': 2, 'metadata': {'version': '1.0', 'tags': ['admin', 'user']}}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test parsing Python dict with escaped single quotes
+    t.test("Python dict with escaped single quotes", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'message': 'It\\'s working!'}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test parsing Python dict with double quotes inside single quotes
+    t.test("Python dict with double quotes inside single quotes", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'quote': 'He said \"Hello\"'}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test the example from the requirements
+    t.test("complex Python dict example from requirements", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{ 'obj' : { 'something': 1, 'other \"something\"' : 'foo\\'s bar' } }";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test need_more_input() parsing - incomplete object
+    t.test("need_more_input() parsing - incomplete object", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'name': 'test', 'value': ";
+        common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_need_more_input", true, result.need_more_input());
+    });
+
+    // Test need_more_input() parsing - incomplete single-quoted string
+    t.test("need_more_input() parsing - incomplete single-quoted string", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'name': 'test";
+        common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_need_more_input", true, result.need_more_input());
+    });
+
+    // Test unicode in Python dict strings
+    t.test("unicode in Python dict strings", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'message': 'Hello, 世界!'}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test Python dict with unicode escapes
+    t.test("Python dict with unicode escapes", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{'unicode': 'Hello\\u0041'}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test that Python parser accepts double-quoted strings too
+    t.test("Python parser accepts double-quoted strings", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{\"name\": \"test\"}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test Python parser with mixed quote styles
+    t.test("Python parser with mixed quote styles", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        std::string    input = "{\"name\": 'test', 'value': \"hello\"}";
+        common_peg_parse_context ctx(input);
+
+        auto result = parser.parse(ctx);
+
+        t.assert_equal("result_is_success", true, result.success());
+        t.assert_equal("result_end", input.size(), result.end);
+    });
+
+    // Test Python True/False/None
+    t.test("Python True/False/None", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); });
+
+        t.test("True", [&](testing &t) {
+            std::string input = "True";
+            common_peg_parse_context ctx(input);
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("False", [&](testing &t) {
+            std::string input = "False";
+            common_peg_parse_context ctx(input);
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("None", [&](testing &t) {
+            std::string input = "None";
+            common_peg_parse_context ctx(input);
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("rejects JSON-style true/false/null", [&](testing &t) {
+            for (const auto & kw : {"true", "false", "null"}) {
+                std::string input = kw;
+                common_peg_parse_context ctx(input);
+                auto result = parser.parse(ctx);
+                t.assert_true(std::string("rejects ") + kw, result.fail());
+            }
+        });
+    });
+
+    // Test single-quoted string content parser directly
+    t.test("single-quoted string content parser", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.sequence({ p.literal("'"), p.string_content('\''), p.literal("'"), p.space() });
+        });
+
+        t.test("simple string", [&](testing &t) {
+            std::string input = "'hello'";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("string with escaped single quote", [&](testing &t) {
+            std::string input = "'it\\'s'";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("string with double quotes", [&](testing &t) {
+            std::string input = "'say \"hello\"'";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("incomplete string", [&](testing &t) {
+            std::string input = "'hello";
+            common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("need_more_input", result.need_more_input());
+        });
+    });
+
+    // Test json() with pre-registered flexible json-string rule (python dict support)
+    t.test("json() parser with flexible json-string rule", [](testing &t) {
+        t.test("json() rejects single quotes by default", [&](testing &t) {
+            auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+                return p.json();
+            });
+
+            std::string input = "{'name': 'test'}";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("fail", result.fail());
+        });
+
+        t.test("json() accepts single quotes with pre-registered flexible json-string rule", [&](testing &t) {
+            auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+                // Pre-register json-string rule with both quote styles
+                p.rule("json-string", [&]() {
+                    return p.choice({ p.double_quoted_string(), p.single_quoted_string() });
+                });
+                return p.json();
+            });
+
+            std::string input = "{'name': 'test'}";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("json() still accepts double quotes with flexible json-string rule", [&](testing &t) {
+            auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+                p.rule("json-string", [&]() {
+                    return p.choice({ p.double_quoted_string(), p.single_quoted_string() });
+                });
+                return p.json();
+            });
+
+            std::string input = "{\"name\": \"test\"}";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("json() accepts mixed quote styles with flexible json-string rule", [&](testing &t) {
+            auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+                p.rule("json-string", [&]() {
+                    return p.choice({ p.double_quoted_string(), p.single_quoted_string() });
+                });
+                return p.json();
+            });
+
+            std::string input = "{\"name\": 'test', 'value': \"hello\"}";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+
+        t.test("complex nested structure with flexible json-string rule", [&](testing &t) {
+            auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+                p.rule("json-string", [&]() {
+                    return p.choice({ p.double_quoted_string(), p.single_quoted_string() });
+                });
+                return p.json();
+            });
+
+            std::string input = "{ 'obj' : { 'something': 1, 'other \"something\"' : 'foo\\'s bar' } }";
+            common_peg_parse_context ctx(input);
+
+            auto result = parser.parse(ctx);
+            t.assert_true("success", result.success());
+            t.assert_equal("end", input.size(), result.end);
+        });
+    });
+}
diff --git a/tests/peg-parser/test-unicode.cpp b/tests/peg-parser/test-unicode.cpp
index 19d9b9e41c5..24663d7017d 100644
--- a/tests/peg-parser/test-unicode.cpp
+++ b/tests/peg-parser/test-unicode.cpp
@@ -58,7 +58,7 @@ void test_unicode(testing &t) {
             std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
             t.test(test_name, [&](testing &t) {
-                common_peg_parse_context ctx(tc.input, true);
+                common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT);
                 auto result = parser.parse(ctx);
 
                 // Assert result type matches
@@ -101,7 +101,7 @@ void test_unicode(testing &t) {
                 std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
                 t.test(test_name, [&](testing &t) {
-                    common_peg_parse_context ctx(tc.input, true);
+                    common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT);
                     auto result = parser.parse(ctx);
 
                     // Assert result type matches
@@ -142,7 +142,7 @@ void test_unicode(testing &t) {
                 std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
                 t.test(test_name, [&](testing &t) {
-                    common_peg_parse_context ctx(tc.input, true);
+                    common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT);
                     auto result = parser.parse(ctx);
 
                     // Assert result type matches
@@ -187,7 +187,7 @@ void test_unicode(testing &t) {
                 std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
                 t.test(test_name, [&](testing &t) {
-                    common_peg_parse_context ctx(tc.input, true);
+                    common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT);
                     auto result = parser.parse(ctx);
 
                     // Assert result type matches
@@ -225,7 +225,7 @@ void test_unicode(testing &t) {
                 std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
                 t.test(test_name, [&](testing &t) {
-                    common_peg_parse_context ctx(tc.input, false);
+                    common_peg_parse_context ctx(tc.input);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
@@ -259,7 +259,7 @@ void test_unicode(testing &t) {
                 std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
                 t.test(test_name, [&](testing &t) {
-                    common_peg_parse_context ctx(tc.input, true);
+                    common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
@@ -293,7 +293,7 @@ void test_unicode(testing &t) {
                 std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input);
 
                 t.test(test_name, [&](testing &t) {
-                    common_peg_parse_context ctx(tc.input, false);
+                    common_peg_parse_context ctx(tc.input);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
@@ -327,10 +327,10 @@ void test_unicode(testing &t) {
 
                 t.test(test_name, [&](testing &t) {
                     auto parser = build_peg_parser([](common_peg_parser_builder& p) {
-                        return p.sequence({p.json_string_content(), p.literal("\"")});
+                        return p.sequence({p.string_content('"'), p.literal("\"")});
                     });
 
-                    common_peg_parse_context ctx(tc.input, false);
+                    common_peg_parse_context ctx(tc.input);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
@@ -364,10 +364,10 @@ void test_unicode(testing &t) {
 
                 t.test(test_name, [&](testing &t) {
                     auto parser = build_peg_parser([](common_peg_parser_builder& p) {
-                        return p.json_string_content();
+                        return p.string_content('"');
                     });
 
-                    common_peg_parse_context ctx(tc.input, true);
+                    common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
@@ -390,9 +390,6 @@ void test_unicode(testing &t) {
 
                 // Invalid continuation byte
                 {std::string("\xC3\x28"), "", COMMON_PEG_PARSE_RESULT_FAIL},
-
-                // Overlong encoding (security issue)
-                {std::string("\xC0\x80"), "", COMMON_PEG_PARSE_RESULT_FAIL},
             };
 
             for (size_t i = 0; i < test_cases.size(); i++) {
@@ -401,10 +398,10 @@ void test_unicode(testing &t) {
 
                 t.test(test_name, [&](testing &t) {
                     auto parser = build_peg_parser([](common_peg_parser_builder& p) {
-                        return p.json_string_content();
+                        return p.string_content('"');
                     });
 
-                    common_peg_parse_context ctx(tc.input, false);
+                    common_peg_parse_context ctx(tc.input);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
@@ -430,10 +427,10 @@ void test_unicode(testing &t) {
 
                 t.test(test_name, [&](testing &t) {
                     auto parser = build_peg_parser([](common_peg_parser_builder& p) {
-                        return p.sequence({p.json_string_content(), p.literal("\"")});
+                        return p.sequence({p.string_content('"'), p.literal("\"")});
                     });
 
-                    common_peg_parse_context ctx(tc.input, false);
+                    common_peg_parse_context ctx(tc.input);
                     auto result = parser.parse(ctx);
 
                     assert_result_equal(t, tc.expected_result, result.type);
diff --git a/tests/peg-parser/tests.h b/tests/peg-parser/tests.h
index 4d3f4e9eaf5..debd4286c50 100644
--- a/tests/peg-parser/tests.h
+++ b/tests/peg-parser/tests.h
@@ -22,3 +22,4 @@ void test_json_parser(testing &t);
 void test_gbnf_generation(testing &t);
 void test_unicode(testing &t);
 void test_json_serialization(testing &t);
+void test_python_dict_parser(testing &t);
diff --git a/tests/test-alloc.cpp b/tests/test-alloc.cpp
index 95e09c97b02..7ae739ad2ef 100644
--- a/tests/test-alloc.cpp
+++ b/tests/test-alloc.cpp
@@ -285,7 +285,7 @@ static void test_max_size_too_many_tensors() {
     GGML_ASSERT(backend.context->allocated_total() <= 16 + 16);
 }
 
-// Scenario where there is some space left in the first buffer, but not enough to accomodate
+// Scenario where there is some space left in the first buffer, but not enough to accommodate
 // a larger tensor, so a second buffer is required
 static void test_max_size_tensor_too_large() {
     dummy_backend backend      = dummy_backend_init(32);
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index ed99c24516e..abf914faa14 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -31,10 +31,12 @@
 #include <cstring>
 #include <ctime>
 #include <future>
+#include <fstream>
 #include <memory>
 #include <random>
 #include <regex>
 #include <set>
+#include <sstream>
 #include <string>
 #include <string_view>
 #include <thread>
@@ -1868,9 +1870,9 @@ struct test_case {
 };
 
 
-// ###################################
-// ## Section 2: GGML Op Defintions ##
-// ###################################
+// ####################################
+// ## Section 2: GGML Op Definitions ##
+// ####################################
 
 
 // The following is an example showing the bare minimum for creating a test for a GGML op.
@@ -2786,9 +2788,10 @@ struct test_set : public test_case {
     const ggml_type type_dst;
     const std::array<int64_t, 4> ne;
     const int dim;
+    const bool inplace;
 
     std::string vars() override {
-        return VARS_TO_STR4(type_src, type_dst, ne, dim);
+        return VARS_TO_STR5(type_src, type_dst, ne, dim, inplace);
     }
 
     size_t op_size(ggml_tensor * t) override {
@@ -2796,8 +2799,8 @@ struct test_set : public test_case {
     }
 
     test_set(ggml_type type_src = GGML_TYPE_F32, ggml_type type_dst = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne = {6, 5, 4, 3}, int dim = 1)
-        : type_src(type_src), type_dst(type_dst), ne(ne), dim(dim) {}
+            std::array<int64_t, 4> ne = {6, 5, 4, 3}, int dim = 1, bool inplace = false)
+        : type_src(type_src), type_dst(type_dst), ne(ne), dim(dim), inplace(inplace) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         ggml_tensor * src = ggml_new_tensor(ctx, type_src, 4, ne.data());
@@ -2808,7 +2811,7 @@ struct test_set : public test_case {
         for (int i = 0; i < dim; ++i) {
             ne_dst[i] *= 2;
         }
-        ggml_tensor* dst = ggml_new_tensor(ctx, type_dst, 4, ne_dst.data());
+        ggml_tensor * dst = ggml_new_tensor(ctx, type_dst, 4, ne_dst.data());
         ggml_set_param(dst);
         ggml_set_name(dst, "dst");
 
@@ -2816,9 +2819,16 @@ struct test_set : public test_case {
         for (int i = 0; i < dim; ++i) {
             offset += ((ne_dst[i] - ne[i])/2)*dst->nb[i];
         }
-        ggml_tensor * out = ggml_set(ctx, dst, src,
-            // The backward pass requires setting a contiguous region:
-            src->nb[1], src->nb[2], src->nb[3], offset);
+        ggml_tensor * out;
+        if (inplace) {
+            out = ggml_set_inplace(ctx, dst, src,
+                    // The backward pass requires setting a contiguous region:
+                    src->nb[1], src->nb[2], src->nb[3], offset);
+        } else {
+            out = ggml_set(ctx, dst, src,
+                    // The backward pass requires setting a contiguous region:
+                    src->nb[1], src->nb[2], src->nb[3], offset);
+        }
         ggml_set_name(out, "out");
 
         return out;
@@ -2969,6 +2979,7 @@ struct test_bin_bcast : public test_case {
     const std::array<int, 4> nr;
     int nf; // number of fused ops, nf == 1 -> single op (no fusion)
     bool perm1; // permute src1?
+    bool src_overlap; // src0 and src1 are overlapping views of the same buffer
 
     bool run_whole_graph() override { return nf > 1; }
 
@@ -2984,8 +2995,8 @@ struct test_bin_bcast : public test_case {
             std::array<int64_t, 4> ne = {10, 10, 1, 1},
             std::array<int, 4> nr = {1, 2, 1, 1},
             int nf = 1,
-            bool perm1 = false)
-        : op(op), type(type), ne(ne), nr(nr), nf(nf), perm1(perm1) {}
+            bool perm1 = false, bool src_overlap = false)
+        : op(op), type(type), ne(ne), nr(nr), nf(nf), perm1(perm1), src_overlap(src_overlap) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         GGML_ASSERT(nf <= 16);
@@ -3000,6 +3011,8 @@ struct test_bin_bcast : public test_case {
 
                 b[i] = ggml_new_tensor_4d(ctx, type, ne[p[0]], ne[p[1]], ne[p[2]], ne[p[3]]);
                 b[i] = ggml_permute(ctx, b[i], p[0], p[1], p[2], p[3]);
+            } else if (src_overlap) {
+                b[i] = ggml_view_4d(ctx, a, ne[0], ne[1], ne[2], 2 * (ne[3] / 3), a->nb[1], a->nb[2], a->nb[3], (ne[3] / 3) * a->nb[3]);
             } else {
                 b[i] = ggml_new_tensor(ctx, type, 4, ne.data());
             }
@@ -3013,7 +3026,13 @@ struct test_bin_bcast : public test_case {
             ggml_set_param(b[0]);
         }
 
-        ggml_tensor * out = a;
+        ggml_tensor *out;
+
+        if (src_overlap) {
+            out = ggml_view_4d(ctx, a, ne[0], ne[1], ne[2], 2 * (ne[3] / 3), a->nb[1], a->nb[2], a->nb[3], 0);
+        } else {
+            out = a;
+        }
 
         for (int i = 0; i < nf; ++i) {
             out = op(ctx, out, b[i]);
@@ -3648,6 +3667,51 @@ struct test_rwkv_wkv6 : public test_case {
     }
 };
 
+// GGML_OP_GATED_DELTA_NET
+struct test_gated_delta_net : public test_case {
+    const ggml_type type;
+
+    const int64_t head_count;
+    const int64_t head_size;
+    const int64_t n_seq_tokens;
+    const int64_t n_seqs;
+    const int     v_repeat;
+    const bool    permuted;
+    const bool    kda;
+
+    std::string vars() override {
+        return VARS_TO_STR8(type, head_count, head_size, n_seq_tokens, n_seqs, v_repeat, permuted, kda);
+    }
+
+    test_gated_delta_net(ggml_type type = GGML_TYPE_F32,
+            int64_t head_count = 4, int64_t head_size = 16, int64_t n_seq_tokens = 1, int64_t n_seqs = 1,
+            int v_repeat = 1, bool permuted = false, bool kda = false)
+        : type(type), head_count(head_count), head_size(head_size), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs),
+          v_repeat(v_repeat), permuted(permuted), kda(kda) {}
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        ggml_tensor * q;
+        ggml_tensor * k;
+        ggml_tensor * v;
+        if (permuted) {
+            // create with dims 1 and 2 swapped, then permute back to get non-contiguous layout
+            q = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count, n_seqs), 0, 2, 1, 3);
+            k = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count, n_seqs), 0, 2, 1, 3);
+            v = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count * v_repeat, n_seqs), 0, 2, 1, 3);
+        } else {
+            q = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs);
+            k = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs);
+            v = ggml_new_tensor_4d(ctx, type, head_size, head_count * v_repeat, n_seq_tokens, n_seqs);
+        }
+        const int64_t g_ne0 = kda ? head_size : 1;
+        ggml_tensor * g     = ggml_new_tensor_4d(ctx, type, g_ne0, head_count * v_repeat, n_seq_tokens, n_seqs);
+        ggml_tensor * beta  = ggml_new_tensor_4d(ctx, type, 1, head_count * v_repeat, n_seq_tokens, n_seqs);
+        ggml_tensor * state = ggml_new_tensor_2d(ctx, type, head_size * v_repeat * head_size * head_count, n_seqs);
+        ggml_tensor * out   = ggml_gated_delta_net(ctx, q, k, v, g, beta, state);
+        return out;
+    }
+};
+
 // GGML_OP_GATED_LINEAR_ATTN
 struct test_gla : public test_case {
     const ggml_type type;
@@ -5813,20 +5877,27 @@ struct test_l2_norm : public test_case {
     const ggml_type type;
     const std::array<int64_t, 4> ne;
     const float eps;
+    bool v;
 
     std::string vars() override {
-        return VARS_TO_STR2(type, ne);
+        return VARS_TO_STR4(type, ne, eps, v);
     }
 
     test_l2_norm(ggml_type type = GGML_TYPE_F32,
             std::array<int64_t, 4> ne = {64, 64, 320, 1},
-            float eps = 1e-12f)
-        : type(type), ne(ne), eps(eps) {}
+            float eps = 1e-12f,
+            bool v = false)
+        : type(type), ne(ne), eps(eps), v(v) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
         ggml_set_name(a, "a");
 
+        if (v) {
+            a = ggml_view_4d(ctx, a, a->ne[0]/2, a->ne[1]/2, a->ne[2]/2, a->ne[3]/2, a->nb[1], a->nb[2], a->nb[3], 0);
+            ggml_set_name(a, "view of a");
+        }
+
         ggml_tensor * out = ggml_l2_norm(ctx, a, eps);
         ggml_set_name(out, "out");
 
@@ -5839,26 +5910,46 @@ struct test_acc : public test_case {
     const ggml_type type;
     const std::array<int64_t, 4> ne_a;
     const std::array<int64_t, 4> ne_b;
+    const int64_t stride_dim;
 
     std::string vars() override {
-        return VARS_TO_STR3(type, ne_a, ne_b);
+        return VARS_TO_STR4(type, ne_a, ne_b, stride_dim);
     }
 
     test_acc(ggml_type type = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne_a = {256, 17, 1, 1},
-            std::array<int64_t, 4> ne_b = {256, 16, 1, 1})
-        : type(type), ne_a(ne_a), ne_b(ne_b) {}
+            std::array<int64_t, 4> ne_a = {256, 17, 2, 3},
+            std::array<int64_t, 4> ne_b = {256, 16, 2, 3},
+            uint64_t stride_dim = -1)
+        : type(type), ne_a(ne_a), ne_b(ne_b), stride_dim(stride_dim) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne_a.data());
         ggml_set_param(a);
         ggml_set_name(a, "a");
 
-        ggml_tensor * b = ggml_new_tensor(ctx, type, 4, ne_b.data());
-        ggml_set_param(b);
+        ggml_tensor * b;
+        if (stride_dim == 1 || stride_dim == 2 || stride_dim == 3) {
+            // Create a larger tensor and take a view at a non-zero offset.
+            // This tests that the backend correctly handles b's data offset
+            std::array<int64_t, 4> ne_b_pad = {ne_b[0], ne_b[1], ne_b[2], ne_b[3]};
+            ne_b_pad[stride_dim] += 1;
+            ggml_tensor * b_pad = ggml_new_tensor(ctx, type, 4, ne_b_pad.data());
+            ggml_set_param(b_pad);
+            ggml_set_name(b_pad, "b_pad");
+            // View that skips the first row, so b has a non-zero byte offset
+            b = ggml_view_4d(ctx, b_pad,
+                ne_b[0], ne_b[1], ne_b[2], ne_b[3],
+                b_pad->nb[1], b_pad->nb[2], b_pad->nb[3],
+                b_pad->nb[1]);
+        } else {
+            b = ggml_new_tensor(ctx, type, 4, ne_b.data());
+            ggml_set_param(b);
+        }
         ggml_set_name(b, "b");
 
-        ggml_tensor * out = ggml_acc(ctx, a, b, a->nb[1], a->nb[2], a->nb[3], b->nb[1]);
+        // When ne_b[0] < ne_a[0], a->nb[1] != b->nb[1], so the stride
+        // parameters to ggml_acc don't match b's natural stride.
+        ggml_tensor * out = ggml_acc(ctx, a, b, a->nb[1], a->nb[2], a->nb[3], 0);
         ggml_set_name(out, "out");
 
         return out;
@@ -6178,7 +6269,7 @@ struct test_flash_attn_ext : public test_case {
     void initialize_tensors(ggml_context * ctx) override {
         for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
             if (strcmp(t->name, "s") == 0) {
-                // make the sink values more noticable in order to trigger a test failure when the implementation is wrong
+                // make the sink values more noticeable in order to trigger a test failure when the implementation is wrong
                 init_tensor_uniform(t, -10.0f, 10.0f);
             } else if (strcmp(t->name, "m") == 0) {
                 init_tensor_kq_mask(t);
@@ -6559,6 +6650,236 @@ struct test_diag : public test_case {
     }
 };
 
+// Deserializable generic test case
+struct input_tensor {
+    ggml_type type;
+    std::array<int64_t, 4> ne;
+    std::array<size_t, 4> nb; // strides (0 = use default contiguous strides)
+};
+
+static bool is_non_contiguous(const input_tensor & src) {
+    if (src.nb[0] == 0) {
+        return false;
+    }
+    const size_t default_nb0 = ggml_type_size(src.type);
+    const size_t default_nb1 = default_nb0 * (src.ne[0] / ggml_blck_size(src.type));
+    const size_t default_nb2 = default_nb1 * src.ne[1];
+    const size_t default_nb3 = default_nb2 * src.ne[2];
+    return src.nb[0] != default_nb0 ||
+           src.nb[1] != default_nb1 ||
+           src.nb[2] != default_nb2 ||
+           src.nb[3] != default_nb3;
+}
+
+static std::string var_to_str(const std::vector<input_tensor>& sources) {
+    std::ostringstream oss;
+    bool first = true;
+    for (const auto& src : sources) {
+        if (!first) oss << ",";
+        oss << ggml_type_name(src.type) << "[" << src.ne[0] << "," << src.ne[1] << "," << src.ne[2] << "," << src.ne[3] << "]";
+        if (is_non_contiguous(src)) {
+            oss << "nb[" << src.nb[0] << "," << src.nb[1] << "," << src.nb[2] << "," << src.nb[3] << "]";
+        }
+        first = false;
+    }
+    return oss.str();
+}
+
+static std::string var_to_str(const std::array<int32_t, GGML_MAX_OP_PARAMS / sizeof(int32_t)>& params) {
+    std::ostringstream oss;
+    oss << "[";
+    bool first = true;
+    for (size_t i = 0; i < params.size(); ++i) {
+        if (params[i] != 0) {
+            if (!first) oss << ",";
+            oss << i << ":" << params[i];
+            first = false;
+        }
+    }
+    oss << "]";
+    return oss.str();
+}
+
+
+struct test_generic_op : public test_case {
+    const ggml_op op;
+    const ggml_type type;
+    const std::array<int64_t, 4> ne;
+    const std::array<int32_t, GGML_MAX_OP_PARAMS / sizeof(int32_t)> op_params;
+
+    const std::vector<input_tensor> sources;
+    const std::string name;
+
+    std::string vars() override {
+        if (name.empty()) {
+            return VARS_TO_STR4(type, ne, op_params, sources);
+        }
+
+        return VARS_TO_STR5(name, type, ne, op_params, sources);
+    }
+
+    test_generic_op(ggml_op op, ggml_type type, std::array<int64_t, 4> ne,
+                    std::array<int32_t, GGML_MAX_OP_PARAMS / sizeof(int32_t)> op_params,
+                    std::vector<input_tensor> sources, std::string name = "")
+        : op(op), type(type), ne(ne), op_params(op_params), sources(sources), name(std::move(name)) {}
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        const size_t source_count = std::min(sources.size(), (size_t)GGML_MAX_SRC);
+
+        std::array<ggml_tensor *, GGML_MAX_SRC> source_tensors;
+        for (size_t i = 0; i < source_count; ++i) {
+            const input_tensor& src = sources[i];
+
+            if (is_non_contiguous(src)) {
+                size_t total_size;
+                const size_t blck_size = ggml_blck_size(src.type);
+                if (blck_size == 1) {
+                    total_size = ggml_type_size(src.type);
+                    for (int d = 0; d < 4; d++) {
+                        total_size += (src.ne[d] - 1) * src.nb[d];
+                    }
+                } else {
+                    total_size = src.ne[0] * src.nb[0] / blck_size;
+                    for (int d = 1; d < 4; d++) {
+                        total_size += (src.ne[d] - 1) * src.nb[d];
+                    }
+                }
+
+                // Convert bytes to elements, padded to block size for quantized types
+                const size_t type_size = ggml_type_size(src.type);
+                size_t backing_elements = (total_size * blck_size + type_size - 1) / type_size;
+                backing_elements = ((backing_elements + blck_size - 1) / blck_size) * blck_size;
+                ggml_tensor * backing = ggml_new_tensor_1d(ctx, src.type, backing_elements);
+                source_tensors[i] = ggml_view_4d(ctx, backing,
+                    src.ne[0], src.ne[1], src.ne[2], src.ne[3],
+                    src.nb[1], src.nb[2], src.nb[3], 0);
+                // nb[0] does not get set by view_4d, so set it manually
+                source_tensors[i]->nb[0] = src.nb[0];
+            } else {
+                source_tensors[i] = ggml_new_tensor_4d(ctx, src.type, src.ne[0], src.ne[1], src.ne[2], src.ne[3]);
+            }
+        }
+
+        // Ops with an inplace flag create a view of src[0] as their output.
+        bool inplace = false;
+        if (op == GGML_OP_SET || op == GGML_OP_ACC) {
+            inplace = op_params[4] != 0;
+        } else if (op == GGML_OP_ADD_REL_POS) {
+            inplace = op_params[0] != 0;
+        }
+
+        ggml_tensor * out;
+        if (inplace && source_count > 0) {
+            out = ggml_view_tensor(ctx, source_tensors[0]);
+        } else {
+            out = ggml_new_tensor_4d(ctx, type, ne[0], ne[1], ne[2], ne[3]);
+        }
+        out->op = op;
+        for (size_t i = 0; i < source_count; ++i) {
+            out->src[i] = source_tensors[i];
+        }
+
+        memcpy(out->op_params, op_params.data(), GGML_MAX_OP_PARAMS);
+        ggml_set_name(out, "out");
+
+        return out;
+    }
+
+    double max_nmse_err() override {
+        switch (op) {
+        case GGML_OP_MUL_MAT:
+        case GGML_OP_MUL_MAT_ID:
+        case GGML_OP_OUT_PROD:
+        case GGML_OP_CONV_TRANSPOSE_2D:
+        case GGML_OP_IM2COL:
+        case GGML_OP_CONV_2D:
+        case GGML_OP_CONV_3D:
+        case GGML_OP_SET_ROWS:
+        case GGML_OP_CPY:
+            return 5e-4;
+        case GGML_OP_SOFT_MAX:
+            return 1e-6;
+        case GGML_OP_RWKV_WKV7:
+            return 5e-3;
+        case GGML_OP_FLASH_ATTN_EXT:
+        {
+            // Scale error with kv length to account for accumulating floating point error
+            const int64_t kv = sources[1].ne[1];
+            return 5e-4 * std::max(1.0, kv / 20000.0);
+        }
+        default:
+            return 1e-7;
+        }
+    }
+
+    void initialize_tensors(ggml_context * ctx) override {
+        ggml_tensor * out = ggml_get_tensor(ctx, "out");
+
+        std::random_device rd;
+        std::default_random_engine rng(rd());
+
+        for (size_t i = 0; i < sources.size() && i < GGML_MAX_SRC; i++) {
+            ggml_tensor * t = out->src[i];
+            if (!t) {
+                break;
+            }
+
+            // FLASH_ATTN_EXT: src[3] is the KQ mask
+            if (op == GGML_OP_FLASH_ATTN_EXT && i == 3) {
+                init_tensor_kq_mask(t);
+                continue;
+            }
+
+            if (t->type == GGML_TYPE_I32 || t->type == GGML_TYPE_I64) {
+                if (op == GGML_OP_GET_ROWS || op == GGML_OP_GET_ROWS_BACK) {
+                    const int64_t num_rows = sources[0].ne[1];
+                    const int64_t nels = ggml_nelements(t);
+                    std::vector<int32_t> data(nels);
+                    std::uniform_int_distribution<int32_t> dist(0, num_rows - 1);
+                    for (int64_t i = 0; i < nels; i++) {
+                        data[i] = dist(rng);
+                    }
+                    ggml_backend_tensor_set(t, data.data(), 0, nels * sizeof(int32_t));
+                } else if (op == GGML_OP_SET_ROWS) {
+                    init_set_rows_row_ids(t, ne[1]);
+                } else if (op == GGML_OP_ROPE) {
+                    const int mode = op_params[2];
+                    const int64_t nels = (mode & GGML_ROPE_TYPE_MROPE) ? ne[2] * 4 : ne[2];
+                    std::vector<int32_t> data(nels);
+                    std::uniform_int_distribution<int32_t> dist(0, ne[2] - 1);
+                    for (int64_t i = 0; i < nels; i++) {
+                        data[i] = dist(rng);
+                    }
+                    ggml_backend_tensor_set(t, data.data(), 0, nels * sizeof(int32_t));
+                } else if (op == GGML_OP_MUL_MAT_ID || op == GGML_OP_ADD_ID) {
+                    const int64_t n_expert = (op == GGML_OP_MUL_MAT_ID) ? sources[0].ne[2] : sources[1].ne[1];
+                    for (int64_t r = 0; r < ggml_nrows(t); r++) {
+                        std::vector<int32_t> data(t->ne[0]);
+                        for (int32_t i = 0; i < t->ne[0]; i++) {
+                            data[i] = i % n_expert;
+                        }
+                        std::shuffle(data.begin(), data.end(), rng);
+                        ggml_backend_tensor_set(t, data.data(), r * t->nb[1], t->ne[0] * sizeof(int32_t));
+                    }
+                } else if (op == GGML_OP_SSM_SCAN) {
+                    for (int64_t r = 0; r < ggml_nrows(t); r++) {
+                        std::vector<int32_t> data(t->ne[0]);
+                        for (int32_t i = 0; i < t->ne[0]; i++) {
+                            data[i] = i;
+                        }
+                        std::shuffle(data.begin(), data.end(), rng);
+                        ggml_backend_tensor_set(t, data.data(), r * t->nb[1], t->ne[0] * sizeof(int32_t));
+                    }
+                } else {
+                    init_tensor_uniform(t);
+                }
+            } else {
+                init_tensor_uniform(t);
+            }
+        }
+    }
+};
+
 
 enum llm_norm_type {
     LLM_NORM,
@@ -7428,11 +7749,13 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_dup(GGML_TYPE_I16, {10,  8, 3, 1}, {1, 2, 0, 3}));
 
     for (int dim = 1; dim < GGML_MAX_DIMS; ++dim) {
-        test_cases.emplace_back(new test_set(GGML_TYPE_F32, GGML_TYPE_F32, {6, 5, 4, 3}, dim));
+        test_cases.emplace_back(new test_set(GGML_TYPE_F32, GGML_TYPE_F32, {6, 5, 4, 3}, dim, false));
+        test_cases.emplace_back(new test_set(GGML_TYPE_F32, GGML_TYPE_F32, {6, 5, 4, 3}, dim, true));
     }
 
     for (int dim = 1; dim < GGML_MAX_DIMS; ++dim) {
-        test_cases.emplace_back(new test_set(GGML_TYPE_I32, GGML_TYPE_I32, {6, 5, 4, 3}, dim));
+        test_cases.emplace_back(new test_set(GGML_TYPE_I32, GGML_TYPE_I32, {6, 5, 4, 3}, dim, false));
+        test_cases.emplace_back(new test_set(GGML_TYPE_I32, GGML_TYPE_I32, {6, 5, 4, 3}, dim, true));
     }
 
     // same-type copy
@@ -7490,9 +7813,9 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         }
     }
 
-    auto add_test_bin_bcast = [&](ggml_type type, std::array<int64_t, 4> ne, std::array<int, 4> nr, bool perm1 = false) {
+    auto add_test_bin_bcast = [&](ggml_type type, std::array<int64_t, 4> ne, std::array<int, 4> nr, bool perm1 = false, bool src_overlap = false) {
         for (auto op : {ggml_add, ggml_sub, ggml_mul, ggml_div}) {
-            test_cases.emplace_back(new test_bin_bcast(op, type, ne, nr, 1, perm1));
+            test_cases.emplace_back(new test_bin_bcast(op, type, ne, nr, 1, perm1, src_overlap));
         }
     };
     for (ggml_type type : {GGML_TYPE_F16, GGML_TYPE_F32}) {
@@ -7512,6 +7835,12 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
             add_test_bin_bcast(type, {10, 5,   4,   3}, {2,  2, 2, 2}, perm1);
         }
 
+        // src_overlap
+        add_test_bin_bcast(type, {10, 5, 4, 6}, {1, 1, 1, 1}, false, true);
+        add_test_bin_bcast(type, {10, 5, 4, 5}, {1, 1, 1, 1}, false, true);
+        add_test_bin_bcast(type, {1, 1, 120, 120}, {1, 1, 1, 1}, false, true);
+        add_test_bin_bcast(type, {1, 1, 4, 320}, {1, 1, 1, 1}, false, true);
+
         // test case for k_bin_bcast_unravel in CUDA backend
         add_test_bin_bcast(type, {1, 1, 65536, 1}, {256, 1, 1, 1});
 
@@ -7559,14 +7888,15 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_softcap(GGML_TYPE_F32, {10, 10, 10, 10}, 50.0f));
     test_cases.emplace_back(new test_silu_back());
 
-    for (float eps : { 0.0f, 1e-6f, 1e-4f, 1e-1f }) {
+    for (float eps : { 0.0f, 1e-6f, 1e-4f, 1e-1f, 10.f }) {
         for (uint32_t n : { 64, 1025 }) {
             for (bool v : { false, true }) {
                 test_cases.emplace_back(new test_norm(GGML_TYPE_F32, { n, 5, 4, 3 }, v, eps));
                 test_cases.emplace_back(new test_rms_norm(GGML_TYPE_F32, { n, 5, 4, 3 }, v, eps));
             }
             test_cases.emplace_back(new test_rms_norm_back(GGML_TYPE_F32, { n, 5, 4, 3 }, eps));
-            test_cases.emplace_back(new test_l2_norm(GGML_TYPE_F32, { n, 5, 4, 3 }, eps));
+            test_cases.emplace_back(new test_l2_norm(GGML_TYPE_F32, { n, 5, 4, 3 }, eps, false));
+            test_cases.emplace_back(new test_l2_norm(GGML_TYPE_F32, { n, 5, 4, 3 }, eps, true));
         }
     }
 
@@ -7610,6 +7940,9 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
             test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}));
             test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {2 * d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}));
             test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {d_conv, d_inner, 4, 1}, {d_conv, d_inner, 1, 1}));
+            // long token (n_t > 32, exercises the long_token kernel path)
+            test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {d_conv - 1 + 64, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}));
+            test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {d_conv - 1 + 64, d_inner, 4, 1}, {d_conv, d_inner, 1, 1}));
         }
     }
 
@@ -7760,6 +8093,8 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         test_cases.emplace_back(new test_mul_mat(type_a, GGML_TYPE_F32, 1, 64, 256, {1,  1}, {1, 1}));
     }
 
+    test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q8_0, GGML_TYPE_F32, 6, 4096, 5120, {1, 1}, {1, 1}));
+
 #if 0
     // test the mat-mat path for Metal
     for (int k = 1; k < 512; ++k) {
@@ -8132,29 +8467,40 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     }
 
     test_cases.emplace_back(new test_sum());
-    test_cases.emplace_back(new test_sum_rows());
     test_cases.emplace_back(new test_sum(GGML_TYPE_F32, {11, 5, 6, 3}, {0, 2, 1, 3}));  // row-contiguous but non-contiguous
     test_cases.emplace_back(new test_sum(GGML_TYPE_F32, {11, 5, 6, 3}, {0, 3, 2, 1}));
     test_cases.emplace_back(new test_sum(GGML_TYPE_F32, {11, 5, 6, 3}, {0, 1, 3, 2}));
-    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 11, 5, 6, 3 }, true, false));
-    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 11, 5, 6, 3 }, false, true));
-    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 11, 5, 6, 3 }, true, true));
     test_cases.emplace_back(new test_mean());
-    test_cases.emplace_back(new test_sum(GGML_TYPE_F32, { 33, 1, 1, 1 }));
-    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 33, 1, 1, 1 }));
     test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 33, 1, 1, 1 }));
+    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 33, 256, 1, 1 }));
+    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 32769, 1, 1, 1 }));
+    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 32, 1, 1, 1 }));
+    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 32, 256, 1, 1 }));
+    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 32768, 1, 1, 1 }));
+    test_cases.emplace_back(new test_sum(GGML_TYPE_F32, { 33, 1, 1, 1 }));
     test_cases.emplace_back(new test_sum(GGML_TYPE_F32, { 33, 1024, 1, 1 }));
-    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 33, 1024, 1, 1 }));
     test_cases.emplace_back(new test_sum(GGML_TYPE_F32, { 33, 256, 1, 1 }));
     test_cases.emplace_back(new test_sum(GGML_TYPE_F32, { 33, 256, 1, 1 }, { 1, 0, 2, 3 })); // sum dst not-contiguous
+    test_cases.emplace_back(new test_sum_rows());
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 11, 5, 6, 3 }, true, false));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 11, 5, 6, 3 }, false, true));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 11, 5, 6, 3 }, true, true));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 16, 5, 6, 3 }, true, false));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 16, 5, 6, 3 }, false, true));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 16, 5, 6, 3 }, true, true));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 33, 1, 1, 1 }));
+    test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 33, 1024, 1, 1 }));
     test_cases.emplace_back(new test_sum_rows(GGML_TYPE_F32, { 33, 256, 1, 1 }));
-    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 33, 256, 1, 1 }));
-    test_cases.emplace_back(new test_mean(GGML_TYPE_F32, { 32769, 1, 1, 1 }));
     test_cases.emplace_back(new test_group_norm(GGML_TYPE_F32, {64, 64, 320, 1}));
     test_cases.emplace_back(new test_group_norm(GGML_TYPE_F32, {9, 9, 1280, 1}));
     test_cases.emplace_back(new test_group_norm_mul_add(GGML_TYPE_F32, {64, 64, 320, 1}));
     test_cases.emplace_back(new test_group_norm_mul_add(GGML_TYPE_F32, {9, 9, 1280, 1}));
-    test_cases.emplace_back(new test_acc());
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 1, 1}, {256, 16, 1, 1}, -1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {256, 16, 2, 3}, -1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {128, 16, 2, 3}, -1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {256, 16, 2, 3}, 1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {128, 16, 2, 3}, 2));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {64, 16, 2, 3}, 3));
     test_cases.emplace_back(new test_pad());
     test_cases.emplace_back(new test_pad(GGML_TYPE_F32, {33, 17, 2, 1}, 4, 3, true)); // circular
     test_cases.emplace_back(new test_pad_ext());
@@ -8252,7 +8598,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
                                         //for (int kv : { 1, 17, 31, 33, 61, 113, 65, 127, 129, 130, 255, 260, 371, 380, 407, 512, 1024, }) {
                                         for (int kv : { 113, 512, 1024, }) {
                                             if (nr2 != 1 && kv != 512) continue;
-                                            for (int nb : { 1, 3, 32, 35, }) {
+                                            for (int nb : { 1, 3, 32, 75, }) {
                                                 for (ggml_prec prec : {GGML_PREC_F32, GGML_PREC_DEFAULT}) {
                                                     if (hsk != 128 && prec == GGML_PREC_DEFAULT) continue;
                                                     for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0}) {
@@ -8332,6 +8678,26 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         }
     }
 
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 16, 1, 1));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 16, 1, 1, 1, true, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 16, 1, 1, 1, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 16, 64, 1, 2));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 1));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 1, 1, true));
+    // KDA (vector gate)
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 1, 1, 1, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 1, 2, 1, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 16, 1, 2, 1, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 32, 4, 1, 1, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2, false, true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true,  true));
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 16, 4, 2, 1, true,  true));
+
 #if 0
     // these tests are disabled to save execution time, sbut they can be handy for debugging
     test_cases.emplace_back(new test_llama(2, true));
@@ -8589,11 +8955,100 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_perf() {
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 48, 1, 512, 1)); // prefill
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 48, 1, 1,   1)); // generate
 
+    // acc
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 1, 1}, {256, 16, 1, 1}, -1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {256, 16, 2, 3}, -1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {128, 16, 2, 3}, -1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {256, 16, 2, 3}, 1));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {128, 16, 2, 3}, 2));
+    test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {64, 16, 2, 3}, 3));
+
+    // GATED_DELTA_NET: realistic model configurations
+    // TG: n_seq_tokens=1 (autoregressive)
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1));   // Qwen3.5-like: 32 heads, d=128
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 16, 64,  1, 1));   // smaller model
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1, 1, false, true)); // KDA
+    // PP: n_seq_tokens=64,256 (prompt processing)
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 64, 1));  // PP-64
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 256, 1)); // PP-256
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 512, 1)); // PP-512
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1024, 1)); // PP-1024
+    // Small model configs (fewer heads = less GPU occupancy for autoregressive)
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 64, 1));   // 4h PP-64
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 256, 1));  // 4h PP-256
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 512, 1));  // 4h PP-512
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 1024, 1)); // 4h PP-1024
+    test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 64, 1, 1, false, true)); // KDA PP-64
+
+    return test_cases;
+}
+
+static std::vector<std::unique_ptr<test_case>> make_test_cases_from_file(const char * path) {
+    std::ifstream f(path);
+
+    if (!f.is_open()) {
+        throw std::runtime_error("Unable to read test file");
+    }
+
+    std::vector<std::unique_ptr<test_case>> test_cases;
+
+    std::string line;
+
+    while (std::getline(f, line)) {
+        std::istringstream iss(line);
+
+        ggml_op op;
+        ggml_type type;
+        std::array<int64_t, 4> ne;
+        std::array<int32_t, GGML_MAX_OP_PARAMS / sizeof(int32_t)> op_params = {};
+        std::string name;
+        uint64_t tmp;
+
+        iss >> tmp;
+        op = (ggml_op)tmp;
+        iss >> tmp;
+        type = (ggml_type)tmp;
+
+        for (size_t i = 0; i < 4; i++) {
+            iss >> ne[i];
+        }
+
+        iss >> tmp;
+        for (size_t i = 0; i < tmp && i < op_params.size(); i++) {
+            iss >> op_params[i];
+        }
+
+        iss >> tmp;
+
+        size_t num_src = std::min((uint64_t)GGML_MAX_SRC, tmp);
+        std::vector<input_tensor> sources(num_src);
+        for (size_t i = 0; i < num_src; i++) {
+            input_tensor& src = sources[i];
+            iss >> tmp;
+            src.type = (ggml_type)tmp;
+
+            for (size_t i = 0; i < 4; i++) {
+                iss >> src.ne[i];
+            }
+            for (size_t i = 0; i < 4; i++) {
+                iss >> src.nb[i];
+            }
+        }
+
+        iss >> name;
+
+        if (name.length() == 1 && name[0] == '-') {
+            name = "";
+        }
+
+        test_cases.emplace_back(new test_generic_op(op, type, ne, op_params, sources, std::move(name)));
+    }
+
     return test_cases;
 }
 
 static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op_names_filter, const char * params_filter,
-                         printer * output_printer) {
+                         printer * output_printer, const char * test_file_path) {
     auto filter_test_cases = [](std::vector<std::unique_ptr<test_case>> & test_cases, const char * params_filter) {
         if (params_filter == nullptr) {
             return;
@@ -8611,9 +9066,26 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
         }
     };
 
+    std::vector<std::unique_ptr<test_case>> test_cases;
+
+    if (test_file_path == nullptr) {
+        switch (mode) {
+        case MODE_TEST:
+        case MODE_GRAD:
+        case MODE_SUPPORT:
+            test_cases = make_test_cases_eval();
+            break;
+        case MODE_PERF:
+            test_cases = make_test_cases_perf();
+            break;
+        }
+    } else {
+        test_cases = make_test_cases_from_file(test_file_path);
+    }
+
+    filter_test_cases(test_cases, params_filter);
+
     if (mode == MODE_TEST) {
-        auto test_cases = make_test_cases_eval();
-        filter_test_cases(test_cases, params_filter);
         ggml_backend_t backend_cpu = ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_CPU, NULL);
         if (backend_cpu == NULL) {
             test_operation_info info("", "", "CPU");
@@ -8653,8 +9125,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     }
 
     if (mode == MODE_GRAD) {
-        auto test_cases = make_test_cases_eval();
-        filter_test_cases(test_cases, params_filter);
         size_t n_ok = 0;
         for (auto & test : test_cases) {
             if (test->eval_grad(backend, op_names_filter, output_printer)) {
@@ -8667,8 +9137,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     }
 
     if (mode == MODE_PERF) {
-        auto test_cases = make_test_cases_perf();
-        filter_test_cases(test_cases, params_filter);
         for (auto & test : test_cases) {
             test->eval_perf(backend, op_names_filter, output_printer);
         }
@@ -8676,9 +9144,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     }
 
     if (mode == MODE_SUPPORT) {
-        auto test_cases = make_test_cases_eval();
-        filter_test_cases(test_cases, params_filter);
-
         // Filter out fusion cases
         test_cases.erase(
             std::remove_if(test_cases.begin(), test_cases.end(), [](const std::unique_ptr<test_case> & tc) {
@@ -8797,7 +9262,8 @@ static void show_test_coverage() {
 }
 
 static void usage(char ** argv) {
-    printf("Usage: %s [mode] [-o <op,..>] [-b <backend>] [-p <params regex>] [--output <console|sql|csv>] [--list-ops] [--show-coverage]\n", argv[0]);
+    printf("Usage: %s [mode] [-o <op,..>] [-b <backend>] [-p <params regex>] [--output <console|sql|csv>] [--list-ops]", argv[0]);
+    printf(" [--show-coverage] [--test-file <path>]\n");
     printf("    valid modes:\n");
     printf("      - test (default, compare with CPU backend for correctness)\n");
     printf("      - grad (compare gradients from backpropagation with method of finite differences)\n");
@@ -8808,6 +9274,7 @@ static void usage(char ** argv) {
     printf("    --output specifies output format (default: console, options: console, sql, csv)\n");
     printf("    --list-ops lists all available GGML operations\n");
     printf("    --show-coverage shows test coverage\n");
+    printf("    --test-file reads test operators from a test file generated by llama-export-graph-ops\n");
 }
 
 int main(int argc, char ** argv) {
@@ -8816,6 +9283,7 @@ int main(int argc, char ** argv) {
     const char * op_names_filter = nullptr;
     const char * backend_filter = nullptr;
     const char * params_filter = nullptr;
+    const char * test_file_path = nullptr;
 
     for (int i = 1; i < argc; i++) {
         if (strcmp(argv[i], "test") == 0) {
@@ -8863,6 +9331,13 @@ int main(int argc, char ** argv) {
         } else if (strcmp(argv[i], "--show-coverage") == 0) {
             show_test_coverage();
             return 0;
+        } else if (strcmp(argv[i], "--test-file") == 0) {
+            if (i + 1 < argc) {
+                test_file_path = argv[++i];
+            } else {
+                usage(argv);
+                return 1;
+            }
         } else {
             usage(argv);
             return 1;
@@ -8915,7 +9390,7 @@ int main(int argc, char ** argv) {
                                                              false, "", ggml_backend_dev_description(dev),
                                                              total / 1024 / 1024, free / 1024 / 1024, true));
 
-        bool ok = test_backend(backend, mode, op_names_filter, params_filter, output_printer.get());
+        bool ok = test_backend(backend, mode, op_names_filter, params_filter, output_printer.get(), test_file_path);
 
         if (ok) {
             n_ok++;
diff --git a/tests/test-backend-sampler.cpp b/tests/test-backend-sampler.cpp
index c10bde91b64..d4cd62c71e7 100644
--- a/tests/test-backend-sampler.cpp
+++ b/tests/test-backend-sampler.cpp
@@ -361,7 +361,7 @@ static void test_backend_temp_sampling(const test_params & params) {
             GGML_ASSERT(false && "Failed to decode token");
         }
 
-        // Verfify sequence 0
+        // Verify sequence 0
         {
             int32_t batch_idx = test_ctx.idx_for_seq(0);
             int n_logits = llama_get_sampled_logits_count_ith(test_ctx.ctx.get(), batch_idx);
@@ -379,7 +379,7 @@ static void test_backend_temp_sampling(const test_params & params) {
         }
 
 
-        // Verfify sequence 1
+        // Verify sequence 1
         {
             int32_t batch_idx = test_ctx.idx_for_seq(1);
 
@@ -395,7 +395,7 @@ static void test_backend_temp_sampling(const test_params & params) {
         }
     }
 
-    // lambda to testing non-positive temperature values.
+    // lambda for testing non-positive temperature values.
     auto test_argmax_temp = [&](float temp) {
         printf("\nTesting temperature = %.1f\n", temp);
 
@@ -454,7 +454,7 @@ static void test_backend_temp_ext_sampling(const test_params & params) {
         }
     }
 
-    // lambda to testing non-positive temp/delta/exponent values.
+    // lambda for testing non-positive temp/delta/exponent values.
     auto test_argmax_temp = [&](float temp, float delta, float exponent) {
         printf("\nTesting temperature = %.1f, delta = %1.f, exponent = %1.f\n", temp, delta, exponent);
 
@@ -530,7 +530,7 @@ static void test_backend_min_p_sampling(const test_params & params) {
     printf("min-p cpu sampled token id:%d, string: '%s'\n", token, token_str.c_str());
     GGML_ASSERT(token >= 0 && token < test_ctx.n_vocab);
 
-    // Decode and sampler 10 more tokens
+    // Decode and sample 10 more tokens
     for (int i = 0; i < 10; i++) {
         int32_t loop_idx = test_ctx.idx_for_seq(seq_id);
         llama_token token = llama_sampler_sample(chain.get(), test_ctx.ctx.get(), loop_idx);
@@ -582,7 +582,7 @@ static void test_backend_top_p_sampling(const test_params & params) {
     printf("top-p cpu sampled token id:%d, string: '%s'\n", token, token_str.c_str());
     GGML_ASSERT(token >= 0 && token < test_ctx.n_vocab);
 
-    // Decode and sampler 10 more tokens
+    // Decode and sample 10 more tokens
     for (int i = 0; i < 10; i++) {
         int32_t loop_idx = test_ctx.idx_for_seq(seq_id);
         llama_token token = llama_sampler_sample(chain.get(), test_ctx.ctx.get(), loop_idx);
@@ -619,7 +619,7 @@ static void test_backend_multi_sequence_sampling(const test_params & params) {
         GGML_ASSERT(false && "Failed to decode token");
     }
 
-    // Verfiy sequence 0
+    // Verify sequence 0
     {
         int32_t batch_idx = test_ctx.idx_for_seq(0);
         llama_token token = llama_get_sampled_token_ith(test_ctx.ctx.get(), batch_idx);
@@ -763,7 +763,7 @@ static void test_backend_logit_bias_sampling(const test_params & params) {
     printf("backend logit bias sampling test PASSED\n");
 }
 
-// This test verifies that it is possible to have two different backend sampler,
+// This test verifies that it is possible to have two different backend samplers,
 // one that uses the backend dist sampler, and another that uses CPU dist sampler.
 static void test_backend_mixed_sampling(const test_params & params) {
     struct llama_sampler_chain_params chain_params_0 = llama_sampler_chain_default_params();
@@ -791,7 +791,7 @@ static void test_backend_mixed_sampling(const test_params & params) {
         GGML_ASSERT(false && "Failed to decode token");
     }
 
-    // Verfiy sequence 0 that used the dist backend sampler.
+    // Verify sequence 0 that used the dist backend sampler.
     {
         int32_t batch_idx = test_ctx.idx_for_seq(0);
         llama_token token = llama_get_sampled_token_ith(test_ctx.ctx.get(), batch_idx);
@@ -802,7 +802,7 @@ static void test_backend_mixed_sampling(const test_params & params) {
         //GGML_ASSERT(llama_get_sampled_logits_count_ith(test_ctx.ctx.get(), batch_idx) == 0);
     }
 
-    // Verfiy sequence 1 that used the top-k backend sampler.
+    // Verify sequence 1 that used the top-k backend sampler.
     {
         int32_t batch_idx = test_ctx.idx_for_seq(1);
         float * logits = llama_get_sampled_logits_ith(test_ctx.ctx.get(), batch_idx);
@@ -934,7 +934,7 @@ static void test_backend_cpu_mixed_batch(const test_params & params) {
         // samplers.
         llama_set_sampler(test_ctx.ctx.get(), 0, nullptr);
 
-        // Create a CPU sampler and verify we can sampler from it.
+        // Create a CPU sampler and verify we can sample from it.
         struct llama_sampler_chain_params chain_params = llama_sampler_chain_default_params();
         llama_sampler_ptr chain(llama_sampler_chain_init(chain_params));
         llama_sampler_chain_add(chain.get(), llama_sampler_init_greedy());
diff --git a/tests/test-chat-auto-parser.cpp b/tests/test-chat-auto-parser.cpp
new file mode 100644
index 00000000000..eaa57872a89
--- /dev/null
+++ b/tests/test-chat-auto-parser.cpp
@@ -0,0 +1,1889 @@
+#include "chat-auto-parser-helpers.h"
+#include "chat-auto-parser.h"
+#include "chat-peg-parser.h"
+#include "chat.h"
+#include "peg-parser.h"
+#include "testing.h"
+
+#include <fstream>
+#include <iostream>
+#include <sstream>
+#include <string>
+
+using namespace autoparser;
+
+static void test_calculate_diff_split_basic(testing & t);
+static void test_calculate_diff_split_identical(testing & t);
+static void test_calculate_diff_split_common_prefix(testing & t);
+static void test_calculate_diff_split_common_suffix(testing & t);
+static void test_calculate_diff_split_common_both(testing & t);
+static void test_calculate_diff_split_empty_cases(testing & t);
+static void test_calculate_diff_split_no_common(testing & t);
+static void test_calculate_diff_split_single_char(testing & t);
+static void test_calculate_diff_split_overlaps(testing & t);
+static void test_calculate_diff_split_tag_boundaries(testing & t);
+static void test_calculate_diff_split(testing & t);
+
+static void test_until_common_prefix_basic(testing & t);
+static void test_until_common_prefix(testing & t);
+
+static void test_after_common_suffix_basic(testing & t);
+static void test_after_common_suffix(testing & t);
+
+static void test_analyze_tool_call_pure_json(testing & t);
+static void test_analyze_tool_call_function_name_markers(testing & t);
+static void test_analyze_tool_call_full_markers(testing & t);
+static void test_analyze_tool_call_edge_cases(testing & t);
+
+static void test_compare_variants_basic(testing & t);
+static void test_compare_variants_messages_modifier(testing & t);
+static void test_compare_variants_tools_modifier(testing & t);
+static void test_compare_variants_both_modifiers(testing & t);
+static void test_compare_variants_template_failure(testing & t);
+static void test_compare_variants_identity(testing & t);
+static void test_compare_variants(testing & t);
+
+// Seed-OSS template tool calling analysis tests
+static void test_seed_oss_tool_analysis(testing & t);
+static void test_seed_oss_tool_presence(testing & t);
+static void test_seed_oss_call_count(testing & t);
+static void test_seed_oss_function_names(testing & t);
+static void test_seed_oss_argument_count(testing & t);
+static void test_seed_oss_args_presence(testing & t);
+static void test_seed_oss_tool_with_reasoning(testing & t);
+
+// Nemotron template analysis tests
+static void test_nemotron_analysis(testing & t);
+static void test_nemotron_reasoning_detection(testing & t);
+static void test_nemotron_tool_format(testing & t);
+
+// CohereForAI template analysis tests
+static void test_cohere_reasoning_detection(testing & t);
+static void test_cohere_analysis(testing & t);
+
+// Marker separation
+static void test_marker_separation(testing & t);
+
+// standard_json_tools format tests
+static void test_standard_json_tools_formats(testing & t);
+static void test_standard_json_tools_openai(testing & t);
+static void test_standard_json_tools_cohere(testing & t);
+static void test_standard_json_tools_function_key(testing & t);
+
+// normalize_quotes_to_json tests
+static void test_normalize_quotes_to_json(testing & t);
+static void test_normalize_quotes_with_embedded_quotes(testing & t);
+
+// TAG_WITH_TAGGED argument parsing tests
+static void test_tagged_args_with_embedded_quotes(testing & t);
+
+int main(int argc, char * argv[]) {
+    testing t(std::cout);
+    t.verbose = true;
+
+    // usage: test-chat-auto-parser-helpers [filter_regex]
+
+    if (argc > 1) {
+        t.set_filter(argv[1]);
+    }
+
+    t.test("diff_split", test_calculate_diff_split);
+    t.test("common_prefix", test_until_common_prefix);
+    t.test("common_suffix", test_after_common_suffix);
+    t.test("compare_variants", test_compare_variants);
+    t.test("segments", test_marker_separation);
+    t.test("seed_oss_diffs", test_seed_oss_tool_analysis);
+    t.test("cohere", test_cohere_analysis);
+    t.test("nemotron", test_nemotron_analysis);
+    t.test("standard_json_tools", test_standard_json_tools_formats);
+    t.test("normalize_quotes_to_json", test_normalize_quotes_to_json);
+    t.test("tagged_args_embedded_quotes", test_tagged_args_with_embedded_quotes);
+
+    return t.summary();
+}
+
+static void test_marker_separation(testing & t) {
+    auto single_square_marker = segmentize_markers("pre_marker[marker]post_marker");
+    auto single_diag_marker = segmentize_markers("pre_marker<marker>post_marker");
+    auto paired_markers = segmentize_markers("<hello>world</hello>");
+    auto double_different_markers = segmentize_markers("<hello>[hello]<world>[world]");
+    auto in_between = segmentize_markers("im<blue>daba<dee>da[hey]");
+
+    t.test("single_square_marker", [&] (testing & t) {
+        t.assert_equal("first is text", segment_type::TEXT, single_square_marker[0].type);
+        t.assert_equal("second is marker", segment_type::MARKER, single_square_marker[1].type);
+        t.assert_equal("last is text", segment_type::TEXT, single_square_marker[2].type);
+
+        t.assert_equal("first is 'pre_marker'", "pre_marker", single_square_marker[0].value);
+        t.assert_equal("second is '[marker]'", "[marker]", single_square_marker[1].value);
+        t.assert_equal("last is 'post_marker'", "post_marker", single_square_marker[2].value);
+    });
+
+    t.test("single_diagonal_marker", [&] (testing & t) {
+        t.assert_equal("first is text", segment_type::TEXT, single_diag_marker[0].type);
+        t.assert_equal("second is marker", segment_type::MARKER, single_diag_marker[1].type);
+        t.assert_equal("last is text", segment_type::TEXT, single_diag_marker[2].type);
+
+        t.assert_equal("first is 'pre_marker'", "pre_marker", single_diag_marker[0].value);
+        t.assert_equal("second is '<marker>'", "<marker>", single_diag_marker[1].value);
+        t.assert_equal("last is 'post_marker'", "post_marker", single_diag_marker[2].value);
+    });
+
+    t.test("paired_markers", [&] (testing & t) {
+        t.assert_equal("first is marker", segment_type::MARKER, paired_markers[0].type);
+        t.assert_equal("second is text", segment_type::TEXT, paired_markers[1].type);
+        t.assert_equal("third is marker", segment_type::MARKER, paired_markers[2].type);
+
+        t.assert_equal("first is '<hello>'", "<hello>", paired_markers[0].value);
+        t.assert_equal("second is 'world'", "world", paired_markers[1].value);
+        t.assert_equal("third is '</hello>'", "</hello>", paired_markers[2].value);
+    });
+
+    t.test("double_different_markers", [&] (testing & t) {
+        t.assert_equal("first is marker", segment_type::MARKER, double_different_markers[0].type);
+        t.assert_equal("second is marker", segment_type::MARKER, double_different_markers[1].type);
+        t.assert_equal("third is marker", segment_type::MARKER, double_different_markers[2].type);
+        t.assert_equal("fourth is marker", segment_type::MARKER, double_different_markers[3].type);
+
+        t.assert_equal("first is '<hello>'", "<hello>", double_different_markers[0].value);
+        t.assert_equal("second is '[hello]'", "[hello]", double_different_markers[1].value);
+        t.assert_equal("third is '<world>'", "<world>", double_different_markers[2].value);
+        t.assert_equal("fourth is '[world]'", "[world]", double_different_markers[3].value);
+    });
+
+    t.test("in_between", [&] (testing & t) {
+        t.assert_equal("first is text", segment_type::TEXT, in_between[0].type);
+        t.assert_equal("second is marker", segment_type::MARKER, in_between[1].type);
+        t.assert_equal("third is text", segment_type::TEXT, in_between[2].type);
+        t.assert_equal("fourth is marker", segment_type::MARKER, in_between[3].type);
+        t.assert_equal("fifth is text", segment_type::TEXT, in_between[4].type);
+        t.assert_equal("sixth is marker", segment_type::MARKER, in_between[5].type);
+
+        t.assert_equal("first is 'im'", "im", in_between[0].value);
+        t.assert_equal("second is '<blue>'", "<blue>", in_between[1].value);
+        t.assert_equal("third is 'daba'", "daba", in_between[2].value);
+        t.assert_equal("fourth is '<dee>'", "<dee>", in_between[3].value);
+        t.assert_equal("fifth is 'da'", "da", in_between[4].value);
+        t.assert_equal("sixth is '[hey]'", "[hey]", in_between[5].value);
+    });
+}
+
+static void test_calculate_diff_split(testing & t) {
+    t.test("calculate_diff_split basic", test_calculate_diff_split_basic);
+    t.test("calculate_diff_split identical", test_calculate_diff_split_identical);
+    t.test("calculate_diff_split common prefix", test_calculate_diff_split_common_prefix);
+    t.test("calculate_diff_split common suffix", test_calculate_diff_split_common_suffix);
+    t.test("calculate_diff_split common both", test_calculate_diff_split_common_both);
+    t.test("calculate_diff_split empty cases", test_calculate_diff_split_empty_cases);
+    t.test("calculate_diff_split no common", test_calculate_diff_split_no_common);
+    t.test("calculate_diff_split single char", test_calculate_diff_split_single_char);
+    t.test("calculate_diff_split overlaps", test_calculate_diff_split_overlaps);
+    t.test("calculate_diff_split tag boundaries", test_calculate_diff_split_tag_boundaries);
+}
+
+static void test_calculate_diff_split_basic(testing & t) {
+    diff_split result = calculate_diff_split("hello world", "hello test");
+    t.assert_equal("prefix should be 'hello '", "hello ", result.prefix);
+    t.assert_equal("left should be 'world'", "world", result.left);
+    t.assert_equal("right should be 'test'", "test", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("abc", "xyz");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'abc'", "abc", result.left);
+    t.assert_equal("right should be 'xyz'", "xyz", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("prefixA suffix", "prefixB suffix");
+    t.assert_equal("prefix should be 'prefix'", "prefix", result.prefix);
+    t.assert_equal("left should be 'A'", "A", result.left);
+    t.assert_equal("right should be 'B'", "B", result.right);
+    t.assert_equal("suffix should be ' suffix'", " suffix", result.suffix);
+}
+
+static void test_calculate_diff_split_identical(testing & t) {
+    diff_split result = calculate_diff_split("hello", "hello");
+    t.assert_equal("prefix should be 'hello'", "hello", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("", "");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("a", "a");
+    t.assert_equal("prefix should be 'a'", "a", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("<row><row><row><your><boat><gently>", "<row><row><row><your><boat><gently>");
+    t.assert_equal("prefix should be '<row><row><row><your><boat><gently>'", "<row><row><row><your><boat><gently>", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_common_prefix(testing & t) {
+    diff_split result = calculate_diff_split("abcdef", "abcxyz");
+    t.assert_equal("prefix should be 'abc'", "abc", result.prefix);
+    t.assert_equal("left should be 'def'", "def", result.left);
+    t.assert_equal("right should be 'xyz'", "xyz", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("same", "sameagain");
+    t.assert_equal("prefix should be 'same'", "same", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be 'again'", "again", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("test", "testing");
+    t.assert_equal("prefix should be 'test'", "test", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be 'ing'", "ing", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_common_suffix(testing & t) {
+    diff_split result = calculate_diff_split("123end", "456end");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be '123'", "123", result.left);
+    t.assert_equal("right should be '456'", "456", result.right);
+    t.assert_equal("suffix should be 'end'", "end", result.suffix);
+
+    result = calculate_diff_split("start", "end");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'start'", "start", result.left);
+    t.assert_equal("right should be 'end'", "end", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("abcsuffix", "xyzsuffix");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'abc'", "abc", result.left);
+    t.assert_equal("right should be 'xyz'", "xyz", result.right);
+    t.assert_equal("suffix should be 'suffix'", "suffix", result.suffix);
+}
+
+static void test_calculate_diff_split_common_both(testing & t) {
+    diff_split result = calculate_diff_split("helloXworld", "helloYworld");
+    t.assert_equal("prefix should be 'hello'", "hello", result.prefix);
+    t.assert_equal("left should be 'X'", "X", result.left);
+    t.assert_equal("right should be 'Y'", "Y", result.right);
+    t.assert_equal("suffix should be 'world'", "world", result.suffix);
+
+    result = calculate_diff_split("ABCmiddleXYZ", "ABCdifferentXYZ");
+    t.assert_equal("prefix should be 'ABC'", "ABC", result.prefix);
+    t.assert_equal("left should be 'middle'", "middle", result.left);
+    t.assert_equal("right should be 'different'", "different", result.right);
+    t.assert_equal("suffix should be 'XYZ'", "XYZ", result.suffix);
+
+    result = calculate_diff_split("startAend", "startBend");
+    t.assert_equal("prefix should be 'start'", "start", result.prefix);
+    t.assert_equal("left should be 'A'", "A", result.left);
+    t.assert_equal("right should be 'B'", "B", result.right);
+    t.assert_equal("suffix should be 'end'", "end", result.suffix);
+
+    // Edge case: common prefix and suffix overlap
+    result = calculate_diff_split("aa", "ab");
+    t.assert_equal("prefix should be 'a'", "a", result.prefix);
+    t.assert_equal("left should be 'a'", "a", result.left);
+    t.assert_equal("right should be 'b'", "b", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_empty_cases(testing & t) {
+    // Empty left, non-empty right
+    diff_split result = calculate_diff_split("", "hello");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be 'hello'", "hello", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Non-empty left, empty right
+    result = calculate_diff_split("hello", "");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'hello'", "hello", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Both empty
+    result = calculate_diff_split("", "");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Left single char, empty right
+    result = calculate_diff_split("a", "");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'a'", "a", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Empty left, right single char
+    result = calculate_diff_split("", "a");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be 'a'", "a", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_no_common(testing & t) {
+    diff_split result = calculate_diff_split("abc", "xyz");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'abc'", "abc", result.left);
+    t.assert_equal("right should be 'xyz'", "xyz", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("left", "right");
+    // The algorithm finds "t" as a common suffix since both strings end with 't'
+    // This is the algorithm's actual behavior - it finds maximal common suffix
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'lef'", "lef", result.left);
+    t.assert_equal("right should be 'righ'", "righ", result.right);
+    t.assert_equal("suffix should be 't'", "t", result.suffix);
+
+    result = calculate_diff_split("123", "456");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be '123'", "123", result.left);
+    t.assert_equal("right should be '456'", "456", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_single_char(testing & t) {
+    diff_split result = calculate_diff_split("a", "b");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'a'", "a", result.left);
+    t.assert_equal("right should be 'b'", "b", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("a", "a");
+    t.assert_equal("prefix should be 'a'", "a", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("a", "ab");
+    t.assert_equal("prefix should be 'a'", "a", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be 'b'", "b", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("ab", "a");
+    t.assert_equal("prefix should be 'a'", "a", result.prefix);
+    t.assert_equal("left should be 'b'", "b", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_overlaps(testing & t) {
+    // One string is substring of another
+    diff_split result = calculate_diff_split("test", "testing");
+    t.assert_equal("prefix should be 'test'", "test", result.prefix);
+    t.assert_equal("left should be empty", "", result.left);
+    t.assert_equal("right should be 'ing'", "ing", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    result = calculate_diff_split("testing", "test");
+    t.assert_equal("prefix should be 'test'", "test", result.prefix);
+    t.assert_equal("left should be 'ing'", "ing", result.left);
+    t.assert_equal("right should be empty", "", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Similar strings with one extra char at start
+    result = calculate_diff_split("Xtest", "Ytest");
+    // The algorithm finds "test" as a common suffix since both strings end with "test"
+    // This is the algorithm's actual behavior - it finds maximal common suffix
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'X'", "X", result.left);
+    t.assert_equal("right should be 'Y'", "Y", result.right);
+    t.assert_equal("suffix should be 'test'", "test", result.suffix);
+
+    // Similar strings with one extra char at end
+    result = calculate_diff_split("testX", "testY");
+    t.assert_equal("prefix should be 'test'", "test", result.prefix);
+    t.assert_equal("left should be 'X'", "X", result.left);
+    t.assert_equal("right should be 'Y'", "Y", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Strings that are reverses
+    result = calculate_diff_split("abc", "cba");
+    t.assert_equal("prefix should be empty", "", result.prefix);
+    t.assert_equal("left should be 'abc'", "abc", result.left);
+    t.assert_equal("right should be 'cba'", "cba", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+}
+
+static void test_calculate_diff_split_tag_boundaries(testing & t) {
+    // Test with unclosed XML tags
+    diff_split result = calculate_diff_split("test<tag", "test>content");
+    // The fix_tag_boundaries should move incomplete tags appropriately
+    t.assert_true("prefix should start with 'test'", result.prefix.find("test") == 0);
+    t.assert_true("should handle tag boundaries", result.left != "" || result.right != "" || result.suffix != "");
+
+    // Test with unclosed brackets
+    result = calculate_diff_split("test[", "test]value");
+    t.assert_true("should handle bracket boundaries", result.left != "" || result.right != "" || result.suffix != "");
+
+    // Test with partial tags on both sides
+    result = calculate_diff_split("prefix<tag>", "prefix</tag>suffix");
+    // fix_tag_boundaries moves the incomplete '<' from prefix to left/right
+    t.assert_equal("prefix should be 'prefix'", "prefix", result.prefix);
+    t.assert_equal("left should be '<tag>'", "<tag>", result.left);
+    t.assert_equal("right should be '</tag>suffix'", "</tag>suffix", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Test with complex nested tags
+    result = calculate_diff_split("prefix<div>content</div>", "prefix<div>different</div>");
+    // Algorithm finds "ent</div>" as a common suffix because both strings end with it
+    // This is the actual algorithm behavior, though not semantically ideal
+    t.assert_equal("prefix should be 'prefix<div>'", "prefix<div>", result.prefix);
+    t.assert_equal("left should be 'cont'", "cont", result.left);
+    t.assert_equal("right should be 'differ'", "differ", result.right);
+    t.assert_equal("suffix should be 'ent</div>'", "ent</div>", result.suffix);
+
+    // Test with unclosed angle bracket
+    result = calculate_diff_split("Hello <world>", "Hello test");
+    t.assert_equal("prefix should be 'Hello '", "Hello ", result.prefix);
+    t.assert_true("left should contain '<world>'", result.left.find("<world>") != std::string::npos);
+    t.assert_equal("right should be 'test'", "test", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Test with unclosed square bracket
+    result = calculate_diff_split("test [array]", "test other");
+    t.assert_equal("prefix should be 'test '", "test ", result.prefix);
+    t.assert_true("left should contain '[array]'", result.left.find("[array]") != std::string::npos);
+    t.assert_equal("right should be 'other'", "other", result.right);
+    t.assert_equal("suffix should be empty", "", result.suffix);
+
+    // Test empty prefix and suffix with tags
+    result = calculate_diff_split("<tag>left</tag>", "<tag>righ</tag>");
+    t.assert_equal("prefix should be '<tag>'", "<tag>", result.prefix);
+    t.assert_equal("left should be 'left'", "left", result.left);
+    t.assert_equal("right should be 'righ'", "righ", result.right);
+    t.assert_equal("suffix should be '</tag>'", "</tag>", result.suffix);
+
+    {
+        // real case from template tests, simplified
+        std::string left  = "PREFIX</think>Sure";
+        std::string right = "PREFIX<think>Lemme think</think>Sure";
+        result            = calculate_diff_split(left, right);
+        t.assert_equal("prefix should be PREFIX", "PREFIX", result.prefix);
+        t.assert_equal("suffix should be </think>Sure", "</think>Sure", result.suffix);
+        t.assert_equal("left should be empty", "", result.left);
+        t.assert_equal("right should be <think>Lemme think", "<think>Lemme think", result.right);
+    }
+
+    {
+        // Real case: special tokens with |> boundary issue
+        // The suffix starts with |> which should be moved to complete <|END_RESPONSE and <|END_ACTION
+        std::string prefix    = "SOME_PREFIX";
+        std::string suffix    = "|><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>";
+        std::string left_diff = "<|START_RESPONSE|>Let me help you.<|END_RESPONSE";
+        std::string right_diff =
+            "<|START_THINKING|><|END_THINKING|><|START_ACTION|>[\n"
+            "    {\"tool_call_id\": \"0\", \"tool_name\": \"test_function_name\", "
+            "\"parameters\": {\"param1\": \"value1\", \"param2\": \"value2\"}}\n"
+            "]<|END_ACTION";
+
+        std::string left  = prefix + left_diff + suffix;
+        std::string right = prefix + right_diff + suffix;
+        result            = calculate_diff_split(left, right);
+
+        t.assert_equal("special token prefix", prefix, result.prefix);
+        // The |> should be moved from suffix to complete the tokens
+        t.assert_equal("special token left", "<|START_RESPONSE|>Let me help you.<|END_RESPONSE|>", result.left);
+        t.assert_true("special token right ends with |>", result.right.find("<|END_ACTION|>") != std::string::npos);
+        t.assert_equal("special token suffix", "<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
+                       result.suffix);
+    }
+}
+
+static void test_until_common_prefix(testing & t) {
+    t.test("until_common_prefix basic", test_until_common_prefix_basic);
+}
+
+static void test_until_common_prefix_basic(testing & t) {
+    // Test case from the user request
+    std::string result = until_common_prefix("<function name=foo><arg name=bar>", "<arg name=bar>", "<arg name=baz>");
+    t.assert_equal("untilCommonPrefix should return '<function name=foo>'", "<function name=foo>", result);
+
+    // Additional test cases to ensure robustness
+    // Test with different common prefix lengths
+    result = until_common_prefix("prefix<test>suffix", "<test>different", "<test>other");
+    t.assert_equal("should return 'prefix'", "prefix", result);
+
+    // Test when common prefix is at the start
+    result = until_common_prefix("<common>rest", "<common>left", "<common>right");
+    t.assert_equal("should return empty string when common prefix at start", "", result);
+
+    // Test when there's no common prefix
+    result = until_common_prefix("something", "left", "right");
+    t.assert_equal("should return empty string when no common prefix", "", result);
+
+    // Test with empty strings
+    result = until_common_prefix("test", "", "right");
+    t.assert_equal("should return empty string when left is empty", "", result);
+
+    // Test with longer common prefix
+    result = until_common_prefix("abcXYZ<shared_prefix>rest", "<shared_prefix>left", "<shared_prefix>right");
+    t.assert_equal("should return 'abcXYZ'", "abcXYZ", result);
+}
+
+static void test_after_common_suffix(testing & t) {
+    t.test("after_common_suffix basic", test_after_common_suffix_basic);
+}
+
+static void test_after_common_suffix_basic(testing & t) {
+    // Test case from the user request
+    std::string result = after_common_suffix("<function name=foo><arg name=bar>100</arg></function>",
+                                            "<arg name=bar>100</arg>",
+                                            "<arg name=baz>535</arg>");
+    t.assert_equal("afterCommonSuffix should return '</function>'", "</function>", result);
+
+    // Test when common suffix is at the end
+    result = after_common_suffix("rest<common>", "left<common>", "right<common>");
+    t.assert_equal("should return empty string when common suffix at end", "", result);
+
+    // Test with empty strings
+    result = after_common_suffix("test", "left", "");
+    t.assert_equal("should return empty string when right is empty", "", result);
+
+    // Test case with XML-like structure similar to the main example
+    result = after_common_suffix("<outer><inner>value</inner></outer>",
+                                "<inner>value</inner>",
+                                "<inner>different</inner>");
+    t.assert_equal("should return '</outer>'", "</outer>", result);
+
+    // Test with longer common suffix appearing at the end of full
+    result = after_common_suffix("prefix<shared>rest</shared>", "prefix<shared>left</shared>", "prefix<shared>right</shared>");
+    t.assert_equal("should return '' when common suffix is at end of full", "", result);
+
+    // Test with common suffix appearing in middle but not at end
+    result = after_common_suffix("<tag>content</tag><extra>", "<tag>value</tag>", "<tag>other</tag>");
+    t.assert_equal("should return '<extra>' when common suffix appears before end", "<extra>", result);
+
+    // Test with multi-character common suffix at the very end of full
+    result = after_common_suffix("start<middle>end</middle>", "prefix<middle>left</middle>", "prefix<middle>right</middle>");
+    t.assert_equal("should return '' when common suffix </middle> is at end of full", "", result);
+}
+
+static void test_compare_variants(testing & t) {
+    t.test("compare_variants basic", test_compare_variants_basic);
+    t.test("compare_variants messages modifier", test_compare_variants_messages_modifier);
+    t.test("compare_variants tools modifier", test_compare_variants_tools_modifier);
+    t.test("compare_variants both modifiers", test_compare_variants_both_modifiers);
+    t.test("compare_variants template failure", test_compare_variants_template_failure);
+    t.test("compare_variants identity", test_compare_variants_identity);
+}
+
+static void test_compare_variants_basic(testing & t) {
+    // Create a simple template that just echoes messages
+    common_chat_template tmpl("{{ messages[0]['content'] }}", "", "");
+
+    template_params params;
+    params.messages = json::array({
+        json {{"role", "user"}, {"content", "Hello"}}
+    });
+
+    auto modifier = [](template_params & p) {
+        p.messages[0]["content"] = "World";
+    };
+
+    auto result = ::compare_variants(tmpl, params, modifier);
+
+    if (!t.assert_true("result should have value", result.has_value())) {
+        return;
+    }
+    // The template might not output anything if messages is empty or format is different
+    // Check that we get a valid result
+    t.assert_true("prefix or left should have content", !result->diff.prefix.empty() || !result->diff.left.empty());
+}
+
+static void test_compare_variants_messages_modifier(testing & t) {
+    // Test with messages modifier only
+    common_chat_template tmpl("{% for message in messages %}{{ message['role'] }}:{{ message['content'] }}{% endfor %}", "", "");
+
+    template_params params;
+    params.messages = json::array({
+        json {{"role", "user"}, {"content", "A"}}
+    });
+
+    auto modifier = [](template_params & p) {
+        p.messages[0]["content"] = "B";
+    };
+
+    std::optional<compare_variants_result> result = ::compare_variants(tmpl, params, modifier);
+
+    if (!t.assert_true("result should have value", result.has_value())) {
+        return;
+    }
+    t.assert_equal("left should be 'A'", "A", result->diff.left);
+    t.assert_equal("right should be 'B'", "B", result->diff.right);
+}
+
+static void test_compare_variants_tools_modifier(testing & t) {
+    // Test with tools modifier only
+    common_chat_template tmpl(
+        "{% for tool in tools %}{{ tool['name'] }}{% endfor %}", "", "");
+
+    template_params params;
+    params.tools = json::array({
+        json {{"name", "foo"}}
+    });
+
+    auto modifier = [](template_params & p) {
+        p.tools[0]["name"] = "bar";
+    };
+
+    auto result = ::compare_variants(tmpl, params, modifier);
+
+    if (!t.assert_true("result should have value", result.has_value())) {
+        return;
+    }
+    t.assert_equal("left should be 'foo'", "foo", result->diff.left);
+    t.assert_equal("right should be 'bar'", "bar", result->diff.right);
+}
+
+static void test_compare_variants_both_modifiers(testing & t) {
+    // Test with both messages and tools modifiers using the for loop approach
+    common_chat_template tmpl(
+        "{% for message in messages %}{{ message['role'] }}:{{ message['content'] }}{% endfor %}", "", "");
+
+    template_params params;
+    params.messages = json::array({
+        json {{"role", "user"}, {"content", "A"}}
+    });
+
+    auto modifier = [](template_params & p) {
+        p.messages[0]["content"] = "B";
+        p.messages[0]["role"] = "newuser";
+    };
+
+    auto result = ::compare_variants(tmpl, params, modifier);
+
+    if (!t.assert_true("result should have value", result.has_value())) {
+        return;
+    }
+    t.assert_equal("left should be 'user:A'", "user:A", result->diff.left);
+    t.assert_equal("right should be 'newuser:B'", "newuser:B", result->diff.right);
+}
+
+static void test_compare_variants_template_failure(testing & t) {
+    // Test with template that causes failure during application (not construction)
+    // We use a valid template syntax but one that will fail during application
+    common_chat_template tmpl("{{ messages[0]['nonexistent_field'] }}", "", "");
+
+    template_params params;
+    params.messages = json::array({
+        json {{"role", "user"}, {"content", "Hello"}}
+    });
+
+    auto modifier = [](template_params & p) {
+        p.messages[0]["content"] = "World";
+    };
+
+    auto result = ::compare_variants(tmpl, params, modifier);
+
+    t.assert_true("result should be nullopt on template failure", !result.has_value());
+}
+
+static void test_compare_variants_identity(testing & t) {
+    // Test with identity modifier (no change)
+    common_chat_template tmpl("{{ messages[0]['content'] }}", "", "");
+
+    template_params params;
+    params.messages = json::array({
+        json {{"role", "user"}, {"content", "Hello"}}
+    });
+
+    // No modifier - should use identity
+    auto result = ::compare_variants(tmpl, params, nullptr);
+
+    if (!t.assert_true("result should have value", result.has_value())) {
+        return;
+    }
+    t.assert_equal("prefix should be 'Hello'", "Hello", result->diff.prefix);
+    t.assert_equal("left should be empty", "", result->diff.left);
+    t.assert_equal("right should be empty", "", result->diff.right);
+    t.assert_equal("suffix should be empty", "", result->diff.suffix);
+}
+
+// ============================================================================
+// Seed-OSS Template Tool Calling Analysis Tests
+// ============================================================================
+
+static void test_seed_oss_tool_analysis(testing & t) {
+    t.test("Seed-OSS tool presence", test_seed_oss_tool_presence);
+    t.test("Seed-OSS call count", test_seed_oss_call_count);
+    t.test("Seed-OSS function names", test_seed_oss_function_names);
+    t.test("Seed-OSS argument count", test_seed_oss_argument_count);
+    t.test("Seed-OSS args presence", test_seed_oss_args_presence);
+    t.test("Seed-OSS tool with reasoning", test_seed_oss_tool_with_reasoning);
+}
+
+// Helper to load Seed-OSS template
+static common_chat_template load_seed_oss_template(testing & t) {
+    std::string template_path = "models/templates/ByteDance-Seed-OSS.jinja";
+    std::ifstream fin(template_path, std::ios::binary);
+    std::ostringstream buf;
+    if (fin.is_open()) {
+        buf << fin.rdbuf();
+    }
+    std::string template_source = buf.str();
+    common_chat_template tmpl(template_source, "", "");
+    t.assert_true("Seed-OSS template loaded successfully", template_source.length() > 0);
+    return tmpl;
+}
+
+// Helper to build tool call JSON
+static json build_tool_call(const std::string & name, const json & args, const std::string & id = "call_001") {
+    return json{
+        {"id", id},
+        {"type", "function"},
+        {"function", json{
+            {"name", name},
+            {"arguments", args}
+        }}
+    };
+}
+
+// Helper to build tools definition
+static json build_tools_definition() {
+    json parameters_schema = json::object();
+    parameters_schema["type"] = "object";
+    parameters_schema["properties"] = json::object();
+    parameters_schema["properties"]["param1"] = json::object({
+        {"type", "string"},
+        {"description", "First parameter"}
+    });
+    parameters_schema["properties"]["param2"] = json::object({
+        {"type", "string"},
+        {"description", "Second parameter"}
+    });
+    parameters_schema["required"] = json::array({"param1", "param2"});
+
+    return json::array({
+        json{
+            {"type", "function"},
+            {"function", json{
+                {"name", "test_function_name"},
+                {"description", "A test function for debugging"},
+                {"parameters", parameters_schema}
+            }}
+        }
+    });
+}
+
+// T1: Compare with/without tool call (user, assistant)
+static void test_seed_oss_tool_presence(testing & t) {
+    common_chat_template tmpl = load_seed_oss_template(t);
+
+    json assistant_no_tools = json{
+        {"role", "assistant"},
+        {"content", "Let me help you."}
+    };
+
+    json assistant_with_tools = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })}
+    };
+
+    json user_msg = json{
+        {"role", "user"},
+        {"content", "Hello, please help me."}
+    };
+
+    template_params params_no_tools;
+    params_no_tools.messages = json::array({user_msg, assistant_no_tools});
+    params_no_tools.tools = build_tools_definition();
+    params_no_tools.add_generation_prompt = false;
+    params_no_tools.enable_thinking = true;
+
+    template_params params_with_tools;
+    params_with_tools.messages = json::array({user_msg, assistant_with_tools});
+    params_with_tools.tools = build_tools_definition();
+    params_with_tools.add_generation_prompt = false;
+    params_with_tools.enable_thinking = true;
+
+    auto result = ::compare_variants(tmpl, params_no_tools,
+        [&](template_params & p) {
+            p.messages = params_with_tools.messages;
+        });
+
+    if (!t.assert_true("T1 result should have value", result.has_value())) {
+        return;
+    }
+
+    const auto & diff = result->diff;
+    t.assert_true("T1 prefix should contain system", diff.prefix.find("system") != std::string::npos);
+    t.assert_true("T1 prefix should contain user", diff.prefix.find("user") != std::string::npos);
+    t.assert_true("T1 prefix should contain assistant", diff.prefix.find("assistant") != std::string::npos);
+
+    // Left should be the assistant content without tool
+    t.assert_equal("T1 left should contain 'Let me help you.'", "Let me help you.", diff.left);
+
+    // Right should contain the tool call markers
+    t.assert_true("T1 right should contain tool_call begin", diff.right.find("<seed:tool_call>") != std::string::npos);
+    t.assert_true("T1 right should contain function tag", diff.right.find("<function=test_function_name>") != std::string::npos);
+    t.assert_true("T1 right should contain parameter=param1", diff.right.find("<parameter=param1>") != std::string::npos);
+    t.assert_true("T1 right should contain parameter=param2", diff.right.find("<parameter=param2>") != std::string::npos);
+    t.assert_true("T1 right should contain value1", diff.right.find("value1") != std::string::npos);
+    t.assert_true("T1 right should contain value2", diff.right.find("value2") != std::string::npos);
+    t.assert_true("T1 right should contain tool_call end", diff.right.find("</seed:tool_call>") != std::string::npos);
+
+    // Suffix should be the eos token
+    t.assert_equal("T1 suffix should be '<seed:eos>'", "<seed:eos>", diff.suffix);
+}
+
+// T2: Compare one vs two tool calls
+static void test_seed_oss_call_count(testing & t) {
+    common_chat_template tmpl = load_seed_oss_template(t);
+
+    json assistant_one_call = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })}
+    };
+
+    json assistant_two_calls = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})),
+            build_tool_call("test_function_name", json::object({{"param1", "value3"}, {"param2", "value4"}}), "call_002")
+        })}
+    };
+
+    json user_msg = json{
+        {"role", "user"},
+        {"content", "Hello, please help me."}
+    };
+
+    template_params params_one;
+    params_one.messages = json::array({user_msg, assistant_one_call});
+    params_one.tools = build_tools_definition();
+    params_one.add_generation_prompt = false;
+    params_one.enable_thinking = true;
+
+    auto result = ::compare_variants(tmpl, params_one,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_two_calls});
+        });
+
+    if (!t.assert_true("T2 result should have value", result.has_value())) {
+        return;
+    }
+
+    const auto & diff = result->diff;
+
+    // Prefix should include the first tool call
+    t.assert_true("T2 prefix should contain first tool_call begin", diff.prefix.find("<seed:tool_call>") != std::string::npos);
+    t.assert_true("T2 prefix should contain first function", diff.prefix.find("<function=test_function_name>") != std::string::npos);
+    t.assert_true("T2 prefix should contain value1", diff.prefix.find("value1") != std::string::npos);
+    t.assert_true("T2 prefix should contain value2", diff.prefix.find("value2") != std::string::npos);
+    t.assert_true("T2 prefix should contain first tool_call end", diff.prefix.find("</seed:tool_call>") != std::string::npos);
+
+    // Left should be empty (no second tool call in variant A)
+    t.assert_equal("T2 left should be empty", "", diff.left);
+
+    // Right should contain the second tool call
+    t.assert_true("T2 right should contain second tool_call begin", diff.right.find("<seed:tool_call>") != std::string::npos);
+    t.assert_true("T2 right should contain second function", diff.right.find("<function=test_function_name>") != std::string::npos);
+    t.assert_true("T2 right should contain value3", diff.right.find("value3") != std::string::npos);
+    t.assert_true("T2 right should contain value4", diff.right.find("value4") != std::string::npos);
+    t.assert_true("T2 right should contain second tool_call end", diff.right.find("</seed:tool_call>") != std::string::npos);
+
+    // Suffix should end with the eos token
+    t.assert_equal("T2 suffix should end with '<seed:eos>'", "<seed:eos>", diff.suffix.substr(diff.suffix.length() - 10, 10));
+}
+
+// T3: Compare different function names
+static void test_seed_oss_function_names(testing & t) {
+    common_chat_template tmpl = load_seed_oss_template(t);
+
+    // Build tools with two different function names
+    json parameters_schema = json::object();
+    parameters_schema["type"] = "object";
+    parameters_schema["properties"] = json::object();
+    parameters_schema["properties"]["arg1"] = json::object({
+        {"type", "string"},
+        {"description", "Argument 1"}
+    });
+    parameters_schema["required"] = json::array({"arg1"});
+
+    json tools = json::array({
+        json{
+            {"type", "function"},
+            {"function", json{
+                {"name", "func_alpha"},
+                {"description", "First function"},
+                {"parameters", parameters_schema}
+            }}
+        },
+        json{
+            {"type", "function"},
+            {"function", json{
+                {"name", "func_beta"},
+                {"description", "Second function"},
+                {"parameters", parameters_schema}
+            }}
+        }
+    });
+
+    json assistant_func_alpha = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("func_alpha", json::object({{"arg1", "test_value"}}))
+        })}
+    };
+
+    json assistant_func_beta = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("func_beta", json::object({{"arg1", "test_value"}}))
+        })}
+    };
+
+    json user_msg = json{
+        {"role", "user"},
+        {"content", "Hello"}
+    };
+
+    template_params params_alpha;
+    params_alpha.messages = json::array({user_msg, assistant_func_alpha});
+    params_alpha.tools = tools;
+    params_alpha.add_generation_prompt = false;
+    params_alpha.enable_thinking = true;
+
+    auto result = ::compare_variants(tmpl, params_alpha,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_func_beta});
+        });
+
+    if (!t.assert_true("T3 result should have value", result.has_value())) {
+        return;
+    }
+
+    const auto & diff = result->diff;
+
+    bool func_alpha_in_left = diff.left.find("func_alpha") != std::string::npos;
+    bool func_alpha_in_prefix = diff.prefix.find("func_alpha") != std::string::npos;
+    bool func_beta_in_right = diff.right.find("func_beta") != std::string::npos;
+    bool func_beta_in_prefix = diff.prefix.find("func_beta") != std::string::npos;
+    bool func_beta_in_suffix = diff.suffix.find("func_beta") != std::string::npos;
+
+    // Left should contain func_alpha (or be in prefix)
+    t.assert_true("T3 left should contain func_alpha (or prefix)", func_alpha_in_left || func_alpha_in_prefix);
+
+    // Right should contain func_beta
+    t.assert_true("T3 right should contain func_beta", func_beta_in_right || func_beta_in_prefix || func_beta_in_suffix);
+
+    // Both should have the same parameter value (in common parts, not in diffs)
+    // Since both have same args, test_value will be in prefix/suffix
+    t.assert_true("T3 diff should contain test_value (in prefix or suffix)",
+        diff.prefix.find("test_value") != std::string::npos || diff.suffix.find("test_value") != std::string::npos);
+}
+
+// T4: Compare different argument counts (zero, one, two parameters)
+static void test_seed_oss_argument_count(testing & t) {
+    common_chat_template tmpl = load_seed_oss_template(t);
+
+    // Build tools with 0, 1, or 2 required parameters
+    json params_2_required = json::object();
+    params_2_required["type"] = "object";
+    params_2_required["properties"] = json::object();
+    params_2_required["properties"]["arg1"] = json::object({
+        {"type", "string"},
+        {"description", "Argument 1"}
+    });
+    params_2_required["properties"]["arg2"] = json::object({
+        {"type", "string"},
+        {"description", "Argument 2"}
+    });
+    params_2_required["required"] = json::array({"arg1", "arg2"});
+
+    json params_1_required = json::object();
+    params_1_required["type"] = "object";
+    params_1_required["properties"] = json::object();
+    params_1_required["properties"]["arg1"] = json::object({
+        {"type", "string"},
+        {"description", "Argument 1"}
+    });
+    params_1_required["required"] = json::array({"arg1"});
+
+    json tools = json::array({
+        json{
+            {"type", "function"},
+            {"function", json{
+                {"name", "test_func"},
+                {"description", "Test function"},
+                {"parameters", params_2_required}
+            }}
+        }
+    });
+
+    // Test: zero args vs one arg
+    json assistant_zero_args = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_func", json::object())
+        })}
+    };
+
+    json assistant_one_arg = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_func", json::object({{"arg1", "value1"}}))
+        })}
+    };
+
+    json assistant_two_args = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_func", json::object({{"arg1", "value1"}, {"arg2", "value2"}}))
+        })}
+    };
+
+    json user_msg = json{
+        {"role", "user"},
+        {"content", "Hello"}
+    };
+
+    // Test zero vs one
+    template_params params_zero;
+    params_zero.messages = json::array({user_msg, assistant_zero_args});
+    params_zero.tools = tools;
+    params_zero.add_generation_prompt = false;
+    params_zero.enable_thinking = true;
+
+    auto result_zero_one = ::compare_variants(tmpl, params_zero,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_one_arg});
+        });
+
+    if (!t.assert_true("T4 zero vs one result should have value", result_zero_one.has_value())) {
+        return;
+    }
+    t.assert_true("T4 zero vs one left should be empty or minimal", result_zero_one->diff.left.empty() || result_zero_one->diff.left == "");
+    t.assert_true("T4 zero vs one right should contain arg1", result_zero_one->diff.right.find("arg1") != std::string::npos);
+
+    // Test one vs two
+    template_params params_one;
+    params_one.messages = json::array({user_msg, assistant_one_arg});
+    params_one.tools = tools;
+    params_one.add_generation_prompt = false;
+    params_one.enable_thinking = true;
+
+    auto result_one_two = ::compare_variants(tmpl, params_one,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_two_args});
+        });
+
+    if (!t.assert_true("T4 one vs two result should have value", result_one_two.has_value())) {
+        return;
+    }
+
+    const auto & diff4 = result_one_two->diff;
+    t.assert_true("T4 one vs two left should contain arg1 (or prefix)",
+        diff4.left.find("arg1") != std::string::npos || diff4.prefix.find("arg1") != std::string::npos);
+    t.assert_true("T4 one vs two right should contain arg1 (or prefix)",
+        diff4.right.find("arg1") != std::string::npos || diff4.prefix.find("arg1") != std::string::npos);
+    t.assert_true("T4 one vs two right should contain arg2 (or prefix/suffix)",
+        diff4.right.find("arg2") != std::string::npos || diff4.prefix.find("arg2") != std::string::npos || diff4.suffix.find("arg2") != std::string::npos);
+}
+
+// T5: Compare different argument values
+static void test_seed_oss_args_presence(testing & t) {
+    common_chat_template tmpl = load_seed_oss_template(t);
+
+    json assistant_same_arg = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}}))
+        })}
+    };
+
+    json assistant_other_arg = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param2", "value2"}}))
+        })}
+    };
+
+    json assistant_both_args = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })}
+    };
+
+    json user_msg = json{
+        {"role", "user"},
+        {"content", "Hello"}
+    };
+
+    template_params params_same;
+    params_same.messages = json::array({user_msg, assistant_same_arg});
+    params_same.tools = build_tools_definition();
+    params_same.add_generation_prompt = false;
+    params_same.enable_thinking = true;
+
+    // Test same arg vs other arg
+    auto result_same_other = ::compare_variants(tmpl, params_same,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_other_arg});
+        });
+
+    if (!t.assert_true("T5 same vs other result should have value", result_same_other.has_value())) {
+        return;
+    }
+    const auto & diff5a = result_same_other->diff;
+    t.assert_true("T5 same vs other left should contain param1 (or prefix/suffix)",
+        diff5a.left.find("param1") != std::string::npos || diff5a.prefix.find("param1") != std::string::npos || diff5a.suffix.find("param1") != std::string::npos);
+    t.assert_true("T5 same vs other left should contain value1 (or prefix/suffix)",
+        diff5a.left.find("value1") != std::string::npos || diff5a.prefix.find("value1") != std::string::npos);
+    t.assert_true("T5 same vs other right should contain param2 (or prefix/suffix)",
+        diff5a.right.find("param2") != std::string::npos || diff5a.prefix.find("param2") != std::string::npos || diff5a.suffix.find("param2") != std::string::npos);
+    t.assert_true("T5 same vs other right should contain value2 (or prefix/suffix)",
+        diff5a.right.find("value2") != std::string::npos || diff5a.prefix.find("value2") != std::string::npos || diff5a.suffix.find("value2") != std::string::npos);
+
+    // Test same arg vs both args
+    auto result_same_both = ::compare_variants(tmpl, params_same,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_both_args});
+        });
+
+    if (!t.assert_true("T5 same vs both result should have value", result_same_both.has_value())) {
+        return;
+    }
+    const auto & diff5b = result_same_both->diff;
+    t.assert_true("T5 same vs both left should contain param1 (or prefix/suffix)",
+        diff5b.left.find("param1") != std::string::npos || diff5b.prefix.find("param1") != std::string::npos || diff5b.suffix.find("param1") != std::string::npos);
+    t.assert_true("T5 same vs both right should contain param1 (or prefix/suffix)",
+        diff5b.right.find("param1") != std::string::npos || diff5b.prefix.find("param1") != std::string::npos || diff5b.suffix.find("param1") != std::string::npos);
+    t.assert_true("T5 same vs both right should contain param2 (or prefix/suffix)",
+        diff5b.right.find("param2") != std::string::npos || diff5b.prefix.find("param2") != std::string::npos || diff5b.suffix.find("param2") != std::string::npos);
+}
+
+// T6: Tool call with vs without reasoning_content
+static void test_seed_oss_tool_with_reasoning(testing & t) {
+    common_chat_template tmpl = load_seed_oss_template(t);
+
+    json assistant_tool_only = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })}
+    };
+
+    json assistant_tool_with_reasoning = json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })},
+        {"reasoning_content", "I need to call the tool first."}
+    };
+
+    json user_msg = json{
+        {"role", "user"},
+        {"content", "Hello, please help me."}
+    };
+
+    template_params params_tool_only;
+    params_tool_only.messages = json::array({user_msg, assistant_tool_only});
+    params_tool_only.tools = build_tools_definition();
+    params_tool_only.add_generation_prompt = false;
+    params_tool_only.enable_thinking = true;
+
+    auto result = ::compare_variants(tmpl, params_tool_only,
+        [&](template_params & p) {
+            p.messages = json::array({user_msg, assistant_tool_with_reasoning});
+        });
+
+    if (!t.assert_true("T6 result should have value", result.has_value())) {
+        return;
+    }
+
+    const auto & diff = result->diff;
+
+    // Left should be empty (no reasoning in variant A)
+    t.assert_equal("T6 left should be empty", "", diff.left);
+
+    // Right should contain the thinking token with reasoning content
+    t.assert_true("T6 right should contain think begin", diff.right.find("<seed:think>") != std::string::npos);
+    t.assert_true("T6 right should contain reasoning content", diff.right.find("I need to call the tool first.") != std::string::npos);
+    t.assert_true("T6 right should contain think end", diff.right.find("</seed:think>") != std::string::npos);
+
+    // Prefix should contain the assistant role
+    t.assert_true("T6 prefix should contain assistant", diff.prefix.find("assistant") != std::string::npos);
+
+    // Suffix should contain the tool call
+    t.assert_true("T6 suffix should contain tool_call begin", diff.suffix.find("<seed:tool_call>") != std::string::npos);
+    t.assert_true("T6 suffix should contain function name", diff.suffix.find("test_function_name") != std::string::npos);
+    t.assert_true("T6 suffix should contain eos", diff.suffix.find("<seed:eos>") != std::string::npos);
+}
+
+static common_chat_template load_template(testing & t, const std::string & template_path) {
+    std::ifstream fin(template_path, std::ios::binary);
+    std::ostringstream buf;
+    if (fin.is_open()) {
+        buf << fin.rdbuf();
+    }
+    std::string template_source = buf.str();
+    common_chat_template tmpl(template_source, "", "");
+    t.assert_true("Nemotron template loaded successfully", template_source.length() > 0);
+    return tmpl;
+}
+
+// ============================================================================
+// Nemotron Template Analysis Tests
+// ============================================================================
+static common_chat_template load_nemotron_template(testing & t) {
+    return load_template(t, "models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja");
+}
+
+static void test_nemotron_analysis(testing & t) {
+    t.test("Nemotron reasoning detection", test_nemotron_reasoning_detection);
+    t.test("Nemotron tool format", test_nemotron_tool_format);
+}
+
+static void test_nemotron_reasoning_detection(testing & t) {
+    common_chat_template tmpl = load_nemotron_template(t);
+
+    // Test the comparison manually to see what's happening
+    json user_msg = json{ { "role", "user" }, { "content", "Hello" } };
+    json assistant_no_reasoning = json{
+        { "role", "assistant" },
+        { "content", "I can help." }
+    };
+    json assistant_with_reasoning = json{
+        { "role", "assistant" },
+        { "content", "I can help." },
+        { "reasoning_content", "Let me think about this." }
+    };
+
+    template_params params;
+    params.messages = json::array({ user_msg, assistant_no_reasoning });
+    params.add_generation_prompt = false;
+    params.enable_thinking = true;
+
+    // Run differential analysis
+    struct autoparser analysis;
+    analysis.analyze_template(tmpl);
+
+    // Check reasoning markers
+    t.assert_equal("reasoning_start should be '<think>'", "<think>", analysis.reasoning.start);
+    t.assert_equal("reasoning_end should be '</think>\\n'", "</think>\n", analysis.reasoning.end);
+
+    // Check reasoning mode detection
+    // Nemotron uses forced closed reasoning with add_generation_prompt
+    t.assert_equal("reasoning should be FORCED_CLOSED", reasoning_mode::FORCED_CLOSED, analysis.reasoning.mode);
+
+    // Make sure reasoning markers don't spill over to content markers
+    t.assert_equal("content start should be empty", "", analysis.content.start);
+    t.assert_equal("content end should be empty", "", analysis.content.end);
+
+    t.assert_equal("content should be PLAIN", content_mode::PLAIN, analysis.content.mode);
+}
+
+static void test_nemotron_tool_format(testing & t) {
+    common_chat_template tmpl = load_nemotron_template(t);
+
+    // Run differential analysis
+    struct autoparser analysis;
+    analysis.analyze_template(tmpl);
+
+    // Check tool markers - Nemotron uses per-call wrapping (each call individually wrapped)
+    t.assert_equal("tool_section_start should be empty (per-call format)", "", analysis.tools.format.section_start);
+    t.assert_equal("tool_section_end should be empty (per-call format)", "", analysis.tools.format.section_end);
+    t.assert_equal("per_call_start should be '<tool_call>\\n'", "<tool_call>\n", analysis.tools.format.per_call_start);
+    t.assert_equal("per_call_end should be '</tool_call>'", "</tool_call>", analysis.tools.format.per_call_end);
+    t.assert_true("should support parallel calls", analysis.jinja_caps.supports_parallel_tool_calls);
+
+    // Check function markers
+    t.assert_equal("func_name_prefix should be '<function='", "<function=", analysis.tools.function.name_prefix);
+    t.assert_equal("func_name_suffix should be '>\\n'", ">\n", analysis.tools.function.name_suffix);
+    t.assert_equal("func_close should be '</function>\\n'", "</function>\n", analysis.tools.function.close);
+
+    // Check argument markers (note: markers retain trailing newlines for proper parsing)
+    t.assert_equal("arg_name_prefix should be '<parameter='", "<parameter=", analysis.tools.arguments.name_prefix);
+    t.assert_equal("arg_name_suffix should be '>\\n'", ">\n", analysis.tools.arguments.name_suffix);
+    t.assert_equal("arg_value_suffix should be '</parameter>\\n'", "</parameter>\n", analysis.tools.arguments.value_suffix);
+
+    // Check format classification
+    t.assert_true("tool format should be TAG_WITH_TAGGED", analysis.tools.format.mode == tool_format::TAG_WITH_TAGGED);
+
+    // Verify tool support
+    t.assert_true("should support tools", analysis.jinja_caps.supports_tools);
+}
+
+static common_chat_template load_cohere_template(testing & t) {
+    return load_template(t, "models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja");
+}
+
+static void test_cohere_analysis(testing & t) {
+    t.test("Cohere reasoning detection", test_cohere_reasoning_detection);
+}
+
+static void test_cohere_reasoning_detection(testing & t) {
+    common_chat_template tmpl = load_cohere_template(t);
+
+    // Run differential analysis
+    struct autoparser analysis;
+    analysis.analyze_template(tmpl);
+
+    // Check reasoning markers - Cohere uses special token format
+    t.assert_equal("reasoning_start should be '<|START_THINKING|>'", "<|START_THINKING|>", analysis.reasoning.start);
+    t.assert_equal("reasoning_end should be '<|END_THINKING|>'", "<|END_THINKING|>", analysis.reasoning.end);
+
+    // Check reasoning mode - Cohere only shows reasoning with tool calls (TOOLS_ONLY)
+    t.assert_equal("reasoning should be TOOLS_ONLY", reasoning_mode::TOOLS_ONLY, analysis.reasoning.mode);
+
+    // Check content markers - Cohere wraps all content with START/END_RESPONSE
+    t.assert_equal("content_start should be '<|START_RESPONSE|>'", "<|START_RESPONSE|>", analysis.content.start);
+    t.assert_equal("content_end should be '<|END_RESPONSE|>'", "<|END_RESPONSE|>", analysis.content.end);
+
+    // Content is always wrapped (both with and without tools)
+    t.assert_equal("content should be ALWAYS_WRAPPED", content_mode::ALWAYS_WRAPPED, analysis.content.mode);
+}
+
+static void test_tool_format_cohere(testing & t) {
+    common_chat_template tmpl = load_cohere_template(t);
+
+    // Run differential analysis
+    struct autoparser analysis;
+    analysis.analyze_template(tmpl);
+
+    // Check tool section markers - Cohere uses ACTION markers
+    t.assert_equal("tool_section_start should be '<|START_ACTION|>'", "<|START_ACTION|>", analysis.tools.format.section_start);
+    t.assert_equal("tool_section_end should be '<|END_ACTION|>'", "<|END_ACTION|>", analysis.tools.format.section_end);
+
+    // JSON_NATIVE format has no per-call markers
+    t.assert_equal("per_call_start should be empty", "", analysis.tools.format.per_call_start);
+    t.assert_equal("per_call_end should be empty", "", analysis.tools.format.per_call_end);
+
+    // JSON_NATIVE format has empty function markers (no XML-style markers)
+    t.assert_equal("func_name_prefix should be empty", "", analysis.tools.function.name_prefix);
+    t.assert_equal("func_name_suffix should be empty", "", analysis.tools.function.name_suffix);
+    t.assert_equal("func_close should be empty", "", analysis.tools.function.close);
+
+    // JSON_NATIVE format has empty args markers
+    t.assert_equal("args_start should be empty", "", analysis.tools.arguments.start);
+    t.assert_equal("args_end should be empty", "", analysis.tools.arguments.end);
+
+    // JSON_NATIVE format has empty argument markers
+    t.assert_equal("arg_name_prefix should be empty", "", analysis.tools.arguments.name_prefix);
+    t.assert_equal("arg_name_suffix should be empty", "", analysis.tools.arguments.name_suffix);
+    t.assert_equal("arg_value_prefix should be empty", "", analysis.tools.arguments.value_prefix);
+    t.assert_equal("arg_value_suffix should be empty", "", analysis.tools.arguments.value_suffix);
+    t.assert_equal("arg_separator should be empty", "", analysis.tools.arguments.separator);
+
+    // Check JSON field names - Cohere uses non-standard names
+    t.assert_equal("name_field should be 'tool_name'", "tool_name", analysis.tools.format.name_field);
+    t.assert_equal("args_field should be 'parameters'", "parameters", analysis.tools.format.args_field);
+    // This isn't a real tool call id field, i.e. with the OpenAI tool call ID format
+    t.assert_equal("id_field should be 'tool_call_id'", "", analysis.tools.format.id_field);
+
+    // Check format classification
+    t.assert_equal("tool format should be JSON_NATIVE", tool_format::JSON_NATIVE, analysis.tools.format.mode);
+
+    // Check flags
+    t.assert_true("should support tools", analysis.jinja_caps.supports_tools);
+    t.assert_true("should support parallel calls", analysis.jinja_caps.supports_parallel_tool_calls);
+    t.assert_true("should not require nonnull content", !analysis.content.requires_nonnull_content);
+    t.assert_true("tools_array_wrapped should be true", analysis.tools.format.tools_array_wrapped);
+}
+
+// ============================================================================
+// standard_json_tools Format Tests
+// ============================================================================
+
+// Helper to build tools definition for tests
+static json build_test_tools() {
+    json parameters_schema = json::object();
+    parameters_schema["type"] = "object";
+    parameters_schema["properties"] = json::object();
+    parameters_schema["properties"]["location"] = json::object({
+        {"type", "string"},
+        {"description", "The city and state"}
+    });
+    parameters_schema["properties"]["unit"] = json::object({
+        {"type", "string"},
+        {"description", "Temperature unit"},
+        {"enum", json::array({"celsius", "fahrenheit"})}
+    });
+    parameters_schema["required"] = json::array({"location"});
+
+    return json::array({
+        json{
+            {"type", "function"},
+            {"function", json{
+                {"name", "get_current_weather"},
+                {"description", "Get the current weather in a given location"},
+                {"parameters", parameters_schema}
+            }}
+        }
+    });
+}
+
+static void test_standard_json_tools_formats(testing & t) {
+    t.test("OpenAI format", test_standard_json_tools_openai);
+    t.test("Cohere format", test_standard_json_tools_cohere);
+    t.test("function-as-key format", test_standard_json_tools_function_key);
+}
+
+// Test 1: OpenAI Standard Format
+// {"id": "call_abc", "function": {"name": "get_weather", "arguments": {"location": "NYC"}}}
+static void test_standard_json_tools_openai(testing & t) {
+    json tools = build_test_tools();
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto tool_call = p.standard_json_tools(
+            "<tool_call>", "</tool_call>", tools,
+            /* parallel */ true,
+            /* force */ false,
+            /* name_key */ "function.name",
+            /* args_key */ "function.arguments",
+            /* array_wrapped */ false,
+            /* function_is_key */ false,
+            /* call_id_key */ "id",
+            /* gen_call_id_key */ "",
+            /* parameters_order */ {}
+        );
+        return p.content(p.until("<tool_call>")) + p.optional(tool_call) + p.end();
+    });
+
+    std::string input =
+        "Let me check the weather."
+        "<tool_call>"
+        R"({"id": "call_abc123", "function": {"name": "get_current_weather", "arguments": {"location": "NYC"}}})"
+        "</tool_call>";
+
+    common_peg_parse_context ctx(input);
+    auto result = parser.parse(ctx);
+
+    if (!t.assert_true("parse success", result.success())) {
+        return;
+    }
+
+    common_chat_msg msg;
+    auto mapper = common_chat_peg_mapper(msg);
+    mapper.from_ast(ctx.ast, result);
+
+    t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+    if (!msg.tool_calls.empty()) {
+        t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name);
+        t.assert_equal("tool id", "call_abc123", msg.tool_calls[0].id);
+    }
+    t.assert_true("content present", msg.content.find("Let me check the weather") != std::string::npos);
+}
+
+// Test 2: Cohere Format
+// {"tool_call_id": 0, "tool_name": "get_weather", "parameters": {"location": "NYC"}}
+static void test_standard_json_tools_cohere(testing & t) {
+    json tools = build_test_tools();
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto tool_call = p.standard_json_tools(
+            "<|START_ACTION|>[", "]<|END_ACTION|>", tools,
+            /* parallel */ true,
+            /* force */ false,
+            /* name_key */ "tool_name",
+            /* args_key */ "parameters",
+            /* array_wrapped */ false,  // Brackets are part of section markers
+            /* function_is_key */ false,
+            /* call_id_key */ "",
+            /* gen_call_id_key */ "tool_call_id",
+            /* parameters_order */ {"tool_call_id", "tool_name", "parameters"}
+        );
+        return p.content(p.until("<|START_ACTION|>")) + p.optional(tool_call) + p.end();
+    });
+
+    std::string input =
+        "Let me search for that."
+        "<|START_ACTION|>["
+        R"({"tool_call_id": 0, "tool_name": "get_current_weather", "parameters": {"location": "NYC", "unit": "celsius"}})"
+        "]<|END_ACTION|>";
+
+    common_peg_parse_context ctx(input);
+    auto result = parser.parse(ctx);
+
+    if (!t.assert_true("parse success", result.success())) {
+        return;
+    }
+
+    common_chat_msg msg;
+    auto mapper = common_chat_peg_mapper(msg);
+    mapper.from_ast(ctx.ast, result);
+
+    t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+    if (!msg.tool_calls.empty()) {
+        t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name);
+        t.assert_equal("tool id", "0", msg.tool_calls[0].id);
+    }
+    t.assert_true("content present", msg.content.find("Let me search") != std::string::npos);
+}
+
+// Test 3: Function-as-Key Format
+// {"get_current_weather": {"id": "call-0001", "args": {"location": "NYC"}}}
+static void test_standard_json_tools_function_key(testing & t) {
+    json tools = build_test_tools();
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto tool_call = p.standard_json_tools(
+            "<tool_calls>[", "]</tool_calls>", tools,
+            /* parallel */ true,
+            /* force */ false,
+            /* name_key */ "",  // Name is the key itself
+            /* args_key */ "args",
+            /* array_wrapped */ false,
+            /* function_is_key */ true,
+            /* call_id_key */ "id",
+            /* gen_call_id_key */ "",
+            /* parameters_order */ {}
+        );
+        return p.content(p.until("<tool_calls>")) + p.optional(tool_call) + p.end();
+    });
+
+    std::string input =
+        "I'll call the weather function."
+        "<tool_calls>["
+        R"({"get_current_weather": {"id": "call-0001", "args": {"location": "NYC", "unit": "celsius"}}})"
+        "]</tool_calls>";
+
+    common_peg_parse_context ctx(input);
+    auto result = parser.parse(ctx);
+
+    if (!t.assert_true("parse success", result.success())) {
+        return;
+    }
+
+    common_chat_msg msg;
+    auto mapper = common_chat_peg_mapper(msg);
+    mapper.from_ast(ctx.ast, result);
+
+    t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+    if (!msg.tool_calls.empty()) {
+        t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name);
+        t.assert_equal("tool id", "call-0001", msg.tool_calls[0].id);
+    }
+    t.assert_true("content present", msg.content.find("I'll call the weather") != std::string::npos);
+}
+
+// ============================================================================
+// normalize_quotes_to_json Tests
+// ============================================================================
+
+// Copy of the function for isolated testing (original is static in chat-peg-parser.cpp)
+static std::string normalize_quotes_to_json(const std::string & input) {
+    std::string result;
+    result.reserve(input.size() + 16);
+
+    bool in_single_quoted = false;
+    bool in_double_quoted = false;
+
+    for (size_t i = 0; i < input.size(); ++i) {
+        char c = input[i];
+
+        if (c == '\\' && i + 1 < input.size()) {
+            char next = input[i + 1];
+
+            if (in_single_quoted) {
+                if (next == '\'') {
+                    result += '\'';
+                    ++i;
+                    continue;
+                }
+                if (next == '"') {
+                    result += "\\\"";
+                    ++i;
+                    continue;
+                }
+                result += c;
+                result += next;
+                ++i;
+                continue;
+            }
+
+            if (in_double_quoted) {
+                result += c;
+                result += next;
+                ++i;
+                continue;
+            }
+
+            result += c;
+            continue;
+        }
+
+        if (c == '"') {
+            if (in_single_quoted) {
+                result += "\\\"";
+            } else {
+                in_double_quoted = !in_double_quoted;
+                result += c;
+            }
+        } else if (c == '\'') {
+            if (in_double_quoted) {
+                result += c;
+            } else if (in_single_quoted) {
+                in_single_quoted = false;
+                result += '"';
+            } else {
+                in_single_quoted = true;
+                result += '"';
+            }
+        } else {
+            result += c;
+        }
+    }
+
+    return result;
+}
+
+static void test_normalize_quotes_to_json(testing & t) {
+    t.test("basic single to double quotes", [](testing & t) {
+        std::string input = "{'key': 'value'}";
+        std::string expected = "{\"key\": \"value\"}";
+        std::string result = normalize_quotes_to_json(input);
+        t.assert_equal("basic conversion", expected, result);
+    });
+
+    t.test("escaped single quote inside single-quoted string", [](testing & t) {
+        std::string input = "{'code': 'print(\\'hello\\')'}";
+        std::string expected = "{\"code\": \"print('hello')\"}";
+        std::string result = normalize_quotes_to_json(input);
+        t.assert_equal("escaped single quote", expected, result);
+    });
+
+    t.test("double quote inside single-quoted string", [](testing & t) {
+        std::string input = "{'msg': 'He said \"hi\"'}";
+        std::string expected = "{\"msg\": \"He said \\\"hi\\\"\"}";
+        std::string result = normalize_quotes_to_json(input);
+        t.assert_equal("double quote escaping", expected, result);
+    });
+
+    t.test("nested backslash escapes", [](testing & t) {
+        std::string input = "{'path': 'C:\\\\Users\\\\test'}";
+        std::string expected = "{\"path\": \"C:\\\\Users\\\\test\"}";
+        std::string result = normalize_quotes_to_json(input);
+        t.assert_equal("backslash escaping", expected, result);
+    });
+
+    t.test("newline escapes", [](testing & t) {
+        std::string input = "{'text': 'line1\\nline2'}";
+        std::string expected = "{\"text\": \"line1\\nline2\"}";
+        std::string result = normalize_quotes_to_json(input);
+        t.assert_equal("newline escaping", expected, result);
+    });
+
+    t.test("mixed quotes", [](testing & t) {
+        std::string input = "{\"already_double\": 'single_value'}";
+        std::string expected = "{\"already_double\": \"single_value\"}";
+        std::string result = normalize_quotes_to_json(input);
+        t.assert_equal("mixed quotes", expected, result);
+    });
+
+    t.test("embedded quotes - the test case", test_normalize_quotes_with_embedded_quotes);
+}
+
+// Test case that mirrors the Seed-OSS failing test scenario
+static void test_normalize_quotes_with_embedded_quotes(testing & t) {
+    // This is similar to the Seed-OSS template test case
+    // The input has embedded double quotes like "14" and "bar" inside string values
+    std::string input = "{'filename': 'foo.cpp', 'oldString': 'def foo(arg = \"14\"):\\n    return arg + \"bar\"\\n', 'newString': 'def foo(arg = \"15\"):\\n    pass\\n'}";
+
+    // Expected: Python single quotes -> JSON double quotes, internal double quotes escaped
+    std::string expected = "{\"filename\": \"foo.cpp\", \"oldString\": \"def foo(arg = \\\"14\\\"):\\n    return arg + \\\"bar\\\"\\n\", \"newString\": \"def foo(arg = \\\"15\\\"):\\n    pass\\n\"}";
+
+    std::string result = normalize_quotes_to_json(input);
+
+    t.assert_equal("normalize quotes with embedded double quotes", expected, result);
+
+    // Also verify the result is valid JSON
+    try {
+        json parsed = json::parse(result);
+        t.assert_true("result is valid JSON", true);
+        t.assert_equal("filename field", "foo.cpp", parsed["filename"].get<std::string>());
+        t.assert_true("oldString contains embedded quotes",
+            parsed["oldString"].get<std::string>().find("\"14\"") != std::string::npos);
+        t.assert_true("newString contains embedded quotes",
+            parsed["newString"].get<std::string>().find("\"15\"") != std::string::npos);
+    } catch (const std::exception & e) {
+        t.assert_true(std::string("JSON parse failed: ") + e.what(), false);
+    }
+}
+
+// ============================================================================
+// TAG_WITH_TAGGED Argument Parsing Tests
+// ============================================================================
+
+// Build tools definition for edit function
+static json build_edit_tool() {
+    json parameters_schema = json::object();
+    parameters_schema["type"] = "object";
+    parameters_schema["properties"] = json::object();
+    parameters_schema["properties"]["filename"] = json::object({
+        {"type", "string"},
+        {"description", "Path of file to edit"}
+    });
+    parameters_schema["properties"]["oldString"] = json::object({
+        {"type", "string"},
+        {"description", "String to replace"}
+    });
+    parameters_schema["properties"]["newString"] = json::object({
+        {"type", "string"},
+        {"description", "New (replacement) value"}
+    });
+    parameters_schema["required"] = json::array({"filename", "oldString", "newString"});
+
+    return json::array({
+        json{
+            {"type", "function"},
+            {"function", json{
+                {"name", "edit"},
+                {"description", "Edit a file"},
+                {"parameters", parameters_schema}
+            }}
+        }
+    });
+}
+
+// Test that reproduces the Seed-OSS template issue with embedded quotes
+static void test_tagged_args_with_embedded_quotes(testing & t) {
+    json tools = build_edit_tool();
+
+    // Build a parser for TAG_WITH_TAGGED format like Seed-OSS/Nemotron
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        // Build tool choice for the edit function
+        auto tool_choice = p.choice();
+
+        for (const auto & tool_def : tools) {
+            if (!tool_def.contains("function")) { continue; }
+            const auto & function = tool_def.at("function");
+            std::string name = function.at("name");
+            const auto & params = function.at("parameters");
+
+            if (!params.contains("properties") || !params.at("properties").is_object()) { continue; }
+
+            const auto & properties = params.at("properties");
+
+            // Build argument parsers
+            std::vector<common_peg_parser> arg_parsers;
+            for (const auto & [param_name, param_schema] : properties.items()) {
+                auto arg = p.tool_arg(
+                    p.tool_arg_open(p.literal("<parameter=") + p.tool_arg_name(p.literal(param_name)) + p.literal(">")) +
+                    p.space() +
+                    p.tool_arg_string_value(p.until("</parameter>")) +
+                    p.space() +
+                    p.tool_arg_close(p.literal("</parameter>"))
+                );
+                arg_parsers.push_back(p.optional(p.rule("arg-" + param_name, arg)));
+            }
+
+            // Build arg sequence with space() between
+            common_peg_parser args_seq = p.eps();
+            for (size_t i = 0; i < arg_parsers.size(); i++) {
+                if (i > 0) {
+                    args_seq = args_seq + p.space();
+                }
+                args_seq = args_seq + arg_parsers[i];
+            }
+
+            auto func_parser =
+                p.tool_open(p.literal("<function=") + p.tool_name(p.literal(name)) + p.literal(">")) +
+                p.space() + args_seq + p.space() +
+                p.tool_close(p.literal("</function>"));
+
+            tool_choice |= p.rule("tool-" + name, p.tool(func_parser));
+        }
+
+        auto tool_section =
+            p.literal("<seed:tool_call>") + p.space() +
+            tool_choice +
+            p.space() + p.literal("</seed:tool_call>");
+
+        return p.content(p.until("<seed:tool_call>")) + p.optional(tool_section) + p.end();
+    });
+
+    // The exact input from the failing test
+    std::string input =
+        "<seed:tool_call>\n"
+        "<function=edit>\n"
+        "<parameter=filename>\n"
+        "foo.cpp\n"
+        "</parameter>\n"
+        "<parameter=oldString>"
+        "def foo(arg = \"14\"):\n"
+        "    return arg + \"bar\"\n"
+        "\n"
+        "</parameter>\n"
+        "<parameter=newString>"
+        "def foo(arg = \"15\"):\n"
+        "    pass\n"
+        "\n"
+        "</parameter>\n"
+        "</function>\n"
+        "</seed:tool_call>";
+
+    common_peg_parse_context ctx(input);
+    auto result = parser.parse(ctx);
+
+    if (!t.assert_true("parse success", result.success())) {
+        return;
+    }
+
+    common_chat_msg msg;
+    auto mapper = common_chat_peg_mapper(msg);
+    mapper.from_ast(ctx.ast, result);
+
+    t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+
+    if (!msg.tool_calls.empty()) {
+        t.assert_equal("tool name", "edit", msg.tool_calls[0].name);
+
+        // Parse the arguments as JSON to verify they're valid
+        std::string args = msg.tool_calls[0].arguments;
+
+        try {
+            json parsed = json::parse(args);
+            t.assert_true("arguments is valid JSON", true);
+
+            // Verify each field has proper value
+            t.assert_equal("filename", "foo.cpp", parsed.value("filename", ""));
+
+            std::string oldString = parsed.value("oldString", "");
+            t.assert_true("oldString contains embedded quotes",
+                oldString.find("\"14\"") != std::string::npos);
+            t.assert_true("oldString contains bar with quotes",
+                oldString.find("\"bar\"") != std::string::npos);
+
+            std::string newString = parsed.value("newString", "");
+            t.assert_true("newString contains embedded quotes",
+                newString.find("\"15\"") != std::string::npos);
+
+        } catch (const std::exception & e) {
+            t.assert_true(std::string("arguments should be valid JSON: ") + e.what(), false);
+        }
+    }
+}
+
diff --git a/tests/test-chat-parser.cpp b/tests/test-chat-parser.cpp
deleted file mode 100644
index 6f44a2b4211..00000000000
--- a/tests/test-chat-parser.cpp
+++ /dev/null
@@ -1,617 +0,0 @@
-//  Tests chat handling, including grammar generation and parsing for tool calling, for various templates.
-//
-//  Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates,
-//  e.g. given Minja (http://github.com/google/minja) checked out in parent dir:
-//
-//    cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
-//
-#include <exception>
-#include <iostream>
-#include <string>
-
-#include "chat-parser.h"
-#include "common.h"
-#include "log.h"
-#include "regex-partial.h"
-
-template <class T>
-static void assert_equals(const std::string_view label, const T & expected, const T & actual) {
-    if (expected != actual) {
-        std::cerr << label << std::endl;
-        std::cerr << "Expected: " << expected << std::endl;
-        std::cerr << "Actual: " << actual << std::endl;
-        std::cerr << std::flush;
-        throw std::runtime_error("Test failed");
-    }
-}
-
-template <class T>
-static void assert_equals(const T & expected, const T & actual) {
-    assert_equals("", expected, actual);
-}
-static void assert_equals(const char * expected, const std::string & actual) {
-  return assert_equals<std::string>(expected, actual);
-}
-
-static void assert_throws(const std::function<void()> & fn, const std::string & expected_exception_pattern = "") {
-    try {
-        fn();
-    } catch (const std::exception & e) {
-      if (expected_exception_pattern.empty()) {
-          return;
-        }
-        std::regex expected_exception_regex(expected_exception_pattern);
-        std::string actual_message = e.what();
-        if (std::regex_search(actual_message, expected_exception_regex)) {
-            return;
-        }
-        throw std::runtime_error("Exception doesn't match expected pattern: " + actual_message + " (pattern: " + expected_exception_pattern + ")");
-        throw std::runtime_error("Exception of unexpected type: " + std::string(e.what()));
-    }
-    throw std::runtime_error("Exception was expected but not thrown");
-}
-
-static void test_reasoning() {
-  //common_log_set_verbosity_thold(LOG_DEFAULT_DEBUG);
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    params.reasoning_format = COMMON_REASONING_FORMAT_NONE;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = false;
-    common_chat_msg_parser builder("<tnk>Cogito</tnk>Ergo sum", /* is_partial= */ false, params);
-    assert_equals(false, builder.try_parse_reasoning("<tnk>", "</tnk>"));
-    assert_equals("<tnk>Cogito</tnk>Ergo sum", builder.consume_rest());
-  }
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = false;
-    common_chat_msg_parser builder("<tnk>Cogito</tnk>Ergo sum", /* is_partial= */ false, params);
-    assert_equals(true, builder.try_parse_reasoning("<tnk>", "</tnk>"));
-    assert_equals(std::string("Cogito"), builder.result().reasoning_content);
-    assert_equals("Ergo sum", builder.consume_rest());
-  }
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    params.reasoning_format = COMMON_REASONING_FORMAT_NONE;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = false;
-    common_chat_msg_parser builder("Cogito</tnk>Ergo sum", /* is_partial= */ false, params);
-    assert_equals(false, builder.try_parse_reasoning("<tnk>", "</tnk>"));
-    assert_equals("Cogito</tnk>Ergo sum", builder.consume_rest());
-  }
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = true;
-    common_chat_msg_parser builder("Cogito</tnk>Ergo sum", /* is_partial= */ false, params);
-    assert_equals(true, builder.try_parse_reasoning("<tnk>", "</tnk>"));
-    assert_equals(std::string("Cogito"), builder.result().reasoning_content);
-    assert_equals("Ergo sum", builder.consume_rest());
-  }
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = true;
-    params.thinking_forced_open = true;
-    common_chat_msg_parser builder("Cogito</tnk>Ergo sum", /* is_partial= */ false, params);
-    assert_equals(true, builder.try_parse_reasoning("<tnk>", "</tnk>"));
-    assert_equals("<think>Cogito</think>", builder.result().content);
-    assert_equals("Ergo sum", builder.consume_rest());
-  }
-  {
-    const std::string variant("content_only_inline_think");
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = false;
-    params.parse_tool_calls = false;
-    const std::string input = "<think>Pense</think>Bonjour";
-    auto msg = common_chat_parse(input, false, params);
-    assert_equals(variant, std::string("Pense"), msg.reasoning_content);
-    assert_equals(variant, std::string("Bonjour"), msg.content);
-  }
-  {
-    const std::string variant("llama_3_inline_think");
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_LLAMA_3_X;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = false;
-    params.parse_tool_calls = false;
-    const std::string input = "<think>Plan</think>Réponse";
-    auto msg = common_chat_parse(input, false, params);
-    assert_equals(variant, std::string("Plan"), msg.reasoning_content);
-    assert_equals(variant, std::string("Réponse"), msg.content);
-  }
-  // Test DeepSeek V3.1 parsing - reasoning content followed by "</think>" and then regular content
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = true;
-    params.parse_tool_calls = true;
-    const std::string variant("deepseek_v3_1_reasoning_format_deepseek");
-    common_chat_msg_parser builder("REASONING</think>ok", /* is_partial= */ false, params);
-    assert_equals(variant, true, builder.try_parse_reasoning("<think>", "</think>"));
-    assert_equals(variant, std::string("REASONING"), builder.result().reasoning_content);
-    assert_equals(variant, std::string("ok"), builder.consume_rest());
-  }
-  // Test DeepSeek V3.1 parsing - reasoning_format none - reasoning content followed by "</think>" and then regular content
-  {
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-    params.reasoning_format = COMMON_REASONING_FORMAT_NONE;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = true;
-    params.parse_tool_calls = true;
-    const std::string variant("deepseek_v3_1_reasoning_format_none");
-    const std::string input = "REASONING</think>ok";
-    auto msg = common_chat_parse(input, false, params);
-    assert_equals(variant, std::string("REASONING</think>ok"), msg.content);
-    assert_equals(variant, std::string(""), msg.reasoning_content);
-  }
-}
-
-static void test_regex() {
-  auto test_throws = [](const std::string & input, const std::string & regex, const std::string & expected_exception_pattern = "") {
-    common_chat_msg_parser builder(input, /* is_partial= */ false, {});
-    assert_throws([&]() { builder.consume_regex(common_regex(regex)); }, expected_exception_pattern);
-  };
-
-  test_throws("Hello, world!", "abc", "^abc$");
-  test_throws("Hello, world!", "e", "^e$");
-
-  {
-    common_chat_msg_parser builder("Hello, world!", /* is_partial= */ false, {});
-    builder.consume_regex(common_regex("Hello"));
-    assert_equals(", world!", builder.consume_rest());
-  }
-
-  {
-    // When in non partial mode, we can say whether the regex was consumed or not.
-    common_chat_msg_parser builder("Hello,", /* is_partial= */ false, {});
-    assert_equals(false, builder.try_consume_regex(common_regex("Hello, world!")).has_value());
-  }
-  {
-    common_chat_msg_parser builder("Hello,", /* is_partial= */ false, {});
-    auto res = builder.try_consume_regex(common_regex("H(el)l(?:o, world!)?"));
-    assert_equals(true, res.has_value());
-    // Verify captures
-    assert_equals<size_t>(2, res->groups.size());
-    assert_equals("Hell", builder.str(res->groups[0]));
-    assert_equals("el", builder.str(res->groups[1]));
-    // Verify position is after the match
-    assert_equals<size_t>(4, builder.pos());
-    assert_equals("o,", builder.consume_rest());
-  }
-  {
-    // But in partial mode, we have a partial final match / can't decide, so we throw a partial exception.
-    common_chat_msg_parser builder("Hello,", /* is_partial= */ true, {});
-    assert_throws([&]() {
-      builder.try_consume_regex(common_regex("Hello, world!"));
-    }, "^Hello, world!$");
-  }
-
-  // Now regardless of the mode, we can tell these aren't a match.
-  for (const auto is_partial : {false, true}) {
-    common_chat_msg_parser builder("Hello,", is_partial, {});
-    assert_equals(false, builder.try_consume_regex(common_regex("a(b|c)(d|e)f")).has_value());
-  }
-  for (const auto is_partial : {false, true}) {
-    common_chat_msg_parser builder("Hello,", is_partial, {});
-    assert_equals(false, builder.try_consume_literal("Oh"));
-  }
-}
-
-const std::vector<std::string> barely_healable_jsons = {
-  "{",
-  "{\"",
-  "{\"\\",
-  "{\"n",
-  "{\"name\"",
-  "{\"name\":",
-  "{\"name\":\"",
-  "{\"name\":\"\\",
-  "{\"name\":\"python",
-  "{\"name\":\"python\\",
-  "{\",",
-  "{\":",
-  "{\"[",
-  "{\"]",
-  "{\"{",
-  "{\"}",
-  "{\"1",
-  "{\"name\":\",",
-  "{\"name\":\":",
-  "{\"name\":\"[",
-  "{\"name\":\"]",
-  "{\"name\":\"{",
-  "{\"name\":\"}",
-  "{\"name\":\"1",
-};
-
-static void test(const std::string & input, bool is_partial, const std::vector<std::vector<std::string>> & args_paths, const std::vector<std::vector<std::string>> & content_paths, const std::string & expected) {
-  common_chat_msg_parser builder(input, is_partial, {});
-  auto js = builder.try_consume_json_with_dumped_args(args_paths, content_paths);
-  assert_equals(true, js.has_value());
-  assert_equals(is_partial, js->is_partial);
-  assert_equals(expected, args_paths.size() == 1 && args_paths[0].empty() ? js->value.get<std::string>() : js->value.dump());
-}
-
-static void test_deepseek_v3_1_tool_calls() {
-    //common_log_set_verbosity_thold(LOG_DEFAULT_DEBUG);
-    // variant: happy path for when it works as the model card says it should
-    const std::string variant("simple");
-    common_chat_parser_params params;
-    params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-    params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-    params.reasoning_in_content = false;
-    params.thinking_forced_open = false;
-    params.parse_tool_calls = true;
-    const std::string input = "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>";
-    auto msg = common_chat_parse(input, false, params);
-    assert_equals<std::size_t>(variant, 1, msg.tool_calls.size());
-    assert_equals(variant, std::string("get_time"), msg.tool_calls[0].name);
-    // JSON arguments are dumped without spaces
-    assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), msg.tool_calls[0].arguments);
-    assert_equals(variant, std::string(""), msg.content);
-    assert_equals(variant, std::string(""), msg.reasoning_content);
-
-    // variant: simple + thinking open
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = true;
-        params.parse_tool_calls = true;
-        const std::string variant("simple_thinking");
-        const std::string in = "REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>";
-        auto m = common_chat_parse(in, false, params);
-        assert_equals<std::size_t>(variant, 1, m.tool_calls.size());
-        assert_equals(variant, std::string("get_time"), m.tool_calls[0].name);
-        assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), m.tool_calls[0].arguments);
-        assert_equals(variant, std::string(""), m.content);
-        assert_equals(variant, std::string("REASONING"), m.reasoning_content);
-    }
-    // variant: simple + multiple tool calls
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = false;
-        params.parse_tool_calls = true;
-        const std::string variant("simple_multiple_tool_calls");
-        const std::string in = "CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>";
-        auto m = common_chat_parse(in, false, params);
-        assert_equals<std::size_t>(variant, 2, m.tool_calls.size());
-        assert_equals(variant, std::string("get_time"), m.tool_calls[0].name);
-        assert_equals(variant, std::string("{\"city\":\"Paris\"}"), m.tool_calls[0].arguments);
-        assert_equals(variant, std::string("get_weather"), m.tool_calls[1].name);
-        assert_equals(variant, std::string("{\"city\":\"Paris\"}"), m.tool_calls[1].arguments);
-        assert_equals(variant, std::string("CONTENT"), m.content);
-        assert_equals(variant, std::string(""), m.reasoning_content);
-    }
-
-
-    // variant: thinking forced open + tool call in reasoning content
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = true;
-        params.parse_tool_calls = true;
-        const std::string variant("thinking_forced_open_tool_call_in_reasoning");
-        const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>";
-        auto m = common_chat_parse(in, false, params);
-        assert_equals<std::size_t>(variant, 1, m.tool_calls.size());
-        assert_equals(variant, std::string("get_time"), m.tool_calls[0].name);
-        assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), m.tool_calls[0].arguments);
-        assert_equals(variant, std::string(""), m.content);
-        assert_equals(variant, std::string("REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING"), m.reasoning_content);
-    }
-
-    // variant: thinking forced open + tool call in reasoning content + no closing think + not partial
-    //          This is a bit of a fine tuning issue on the model's part IMO. It really should not be attempting
-    //          to make tool calls in reasoning content according to the model card, but it does sometimes, so
-    //          add the reasoning content as regular content and parse the tool calls.
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = true;
-        params.parse_tool_calls = true;
-        const std::string variant("thinking_forced_open_tool_call_in_reasoning_no_closing_think_not_partial");
-        const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>";
-        auto m = common_chat_parse(in, false, params);
-        assert_equals(variant, std::string("REASONING"), m.content);
-        assert_equals(variant, std::string(""), m.reasoning_content);
-        assert_equals<std::size_t>(variant, 1, m.tool_calls.size());
-        assert_equals(variant, std::string("get_time"), m.tool_calls[0].name);
-        assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), m.tool_calls[0].arguments);
-    }
-
-    // variant: thinking forced open + tool call in reasoning content + no closing think + partial
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = true;
-        params.parse_tool_calls = true;
-        const std::string variant("thinking_forced_open_tool_call_in_reasoning_no_closing_think_partial");
-        const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>";
-        auto m = common_chat_parse(in, /* is_partial= */ true, params);
-        assert_equals(variant, std::string("REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"), m.reasoning_content);
-        assert_equals(variant, std::string(""), m.content);
-        assert_equals<std::size_t>(variant, 0, m.tool_calls.size());
-    }
-
-    // variant: thinking not forced open + reasoning + regular content + no tool calls
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = true;
-        params.parse_tool_calls = true;
-        const std::string variant("thinking_forced_open_reasoning_regular_content_no_tool_calls");
-        const std::string in = "REASONING</think>CONTENT";
-        auto m = common_chat_parse(in, false, params);
-        assert_equals<std::size_t>(variant, 0, m.tool_calls.size());
-        assert_equals(variant, std::string("CONTENT"), m.content);
-        assert_equals(variant, std::string("REASONING"), m.reasoning_content);
-    }
-    // variant: thinking not forced open + missing reasoning + no tool calls
-    {
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1;
-        params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = false;
-        params.parse_tool_calls = true;
-        const std::string variant("thinking_not_forced_open_missing_reasoning_no_tool_calls");
-        const std::string in = "CONTENT";
-        auto m = common_chat_parse(in, false, params);
-        assert_equals<std::size_t>(variant, 0, m.tool_calls.size());
-        assert_equals(variant, std::string("CONTENT"), m.content);
-        assert_equals(variant, std::string(""), m.reasoning_content);
-    }
-}
-
-static void test_with_args(const std::string & input, const std::string & expected, bool parse_as_partial = true, bool is_partial = true) {
-  common_chat_msg_parser builder(input, parse_as_partial, {});
-  auto js = builder.try_consume_json_with_dumped_args({{"args"}}, {});
-  assert_equals(true, js.has_value());
-  assert_equals(is_partial, js->is_partial);
-  assert_equals(expected, js->value.dump());
-}
-
-static void test_json_with_dumped_args_no_args() {
-  // Normal JSON, nothing to heal, nothing to dump
-  test("{\"name\": \"python\"}", false, {}, {}, "{\"name\":\"python\"}");
-  // Full json is args
-  test("{\"name\": \"python\"}", false, {{}}, {}, "{\"name\":\"python\"}");
-
-  // If the arguments are further down, don't heal partial content.
-  for (const auto & src : barely_healable_jsons) {
-    test(src, true, {{"arguments"}}, {}, "{}");
-  }
-  // But heal content that isn't partial.
-  test("{\"name\": \"python\"", true, {{"arguments"}}, {}, "{\"name\":\"python\"}");
-}
-
-static void test_json_with_dumped_args() {
-
-  // Partial content.
-  test("{\"content\": \"t", true, {}, {{"content"}}, "{\"content\":\"t\"}");
-  test("{\"content\": \"", true, {}, {{"content"}}, "{\"content\":\"\"}");
-  test("{\"content\": ", true, {}, {{"content"}}, "{}");
-
-  // If the entire JSON is the arguments, healing it them dumping it produces the same output as the input (just reformatted).
-  test("{\"name\": \"python", true, {{}}, {}, "{\"name\":\"python");
-  for (const auto & src : barely_healable_jsons) {
-    test(src, true, {{}}, {}, src);
-  }
-
-  // Full JSON w/ args
-  for (auto parse_as_partial : {true, false}) {
-    test_with_args(
-      R"({"name": "python", "args": {"arg1": 1}})",
-      R"({"name":"python","args":"{\"arg1\":1}"})",
-      parse_as_partial,
-      /* is_partial= */ false
-    );
-  }
-
-  // Partial JSON w/ partial args
-  test_with_args(
-    R"({"foo": "bar", "args": {")",
-    R"({"foo":"bar","args":"{\""})"
-  );
-  // Partial args broken in object key
-  test_with_args(
-    R"({"foo": "bar", "args": {"ar)",
-    R"({"foo":"bar","args":"{\"ar"})"
-  );
-  // Partial args broken after object key
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1")",
-    R"({"foo":"bar","args":"{\"arg1\""})"
-  );
-  // Partial args broken before object value
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1":)",
-    R"({"foo":"bar","args":"{\"arg1\":"})"
-  );
-  // Partial args broken before object value (space)
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": )",
-    R"({"foo":"bar","args":"{\"arg1\":"})"
-  );
-  // Partial args broken in object value that may not be complete (int)
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": 1)",
-    R"({"foo":"bar","args":"{\"arg1\":"})"
-  );
-  // Partial args broken in object value that is complete (int)
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": 1 )",
-    R"({"foo":"bar","args":"{\"arg1\":1"})"
-  );
-  // Partial args broken in object value that is incomplete (string)
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": ")",
-    R"({"foo":"bar","args":"{\"arg1\":\""})"
-  );
-  // Partial args broken in object value that is complete (string)
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "1")",
-    R"({"foo":"bar","args":"{\"arg1\":\"1\""})"
-  );
-  // Partial args broken on array opening
-  test_with_args(
-    R"({"foo": "bar", "args": [)",
-    R"({"foo":"bar","args":"["})"
-  );
-  // Partial args broken on array value that is incomplete (int)
-  test_with_args(
-    R"({"foo": "bar", "args": [1)",
-    R"({"foo":"bar","args":"["})"
-  );
-  // Partial args broken on array value that is complete (int)
-  test_with_args(
-    R"({"foo": "bar", "args": [1 )",
-    R"({"foo":"bar","args":"[1"})"
-  );
-  // Partial args broken on array value that is complete (string)
-  test_with_args(
-    R"({"foo": "bar", "args": ["1")",
-    R"({"foo":"bar","args":"[\"1\""})"
-  );
-  // Partial args broken after array value
-  test_with_args(
-    R"({"foo": "bar", "args": [1,)",
-    R"({"foo":"bar","args":"[1,"})"
-  );
-  // Partial args broken on nested array
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": [)",
-    R"({"foo":"bar","args":"{\"arg1\":["})"
-  );
-
-  // Unicode tests
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\u)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\u"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\u0)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\u0"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\u00)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\u00"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\u000)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\u000"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\u0000)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\u0000"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud8)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud8"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud80)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud80"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800\)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800\u)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\u"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800\ud)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\ud"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800\udc)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\udc"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800\udc0)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\udc0"})"
-  );
-  test_with_args(
-    R"({"foo": "bar", "args": {"arg1": "\ud800\udc00)",
-    R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\udc00"})"
-  );
-}
-
-static void test_positions() {
-  {
-    common_chat_msg_parser builder("Hello, world!", /* is_partial= */ false, {});
-    assert_equals<size_t>(0, builder.pos());
-    assert_throws([&]() { builder.move_to(100); });
-    assert_equals<size_t>(0, builder.pos());
-    assert_throws([&]() { builder.move_back(1); });
-    assert_equals<size_t>(0, builder.pos());
-
-    builder.move_to(8);
-    assert_equals<size_t>(8, builder.pos());
-    builder.move_back(1);
-    assert_equals<size_t>(7, builder.pos());
-    assert_equals("world!", builder.consume_rest());
-
-    builder.move_to(0);
-    assert_equals<size_t>(0, builder.pos());
-
-    assert_throws([&]() { builder.finish(); });
-    assert_equals<size_t>(0, builder.pos());
-
-    builder.move_to(builder.input().size());
-    builder.finish();
-  }
-  {
-    common_chat_msg_parser builder("Hello, world!", /* is_partial= */ true, {});
-
-    builder.move_to(builder.input().size());
-    assert_equals<size_t>(builder.input().size(), builder.pos());
-    builder.finish();
-  }
-}
-
-int main() {
-    test_positions();
-    test_json_with_dumped_args_no_args();
-    test_json_with_dumped_args();
-    test_reasoning();
-    test_regex();
-    test_deepseek_v3_1_tool_calls();
-    std::cout << "All tests passed!\n";
-    return 0;
-}
diff --git a/tests/test-chat-peg-parser.cpp b/tests/test-chat-peg-parser.cpp
index f767c73c27a..dc8724be341 100644
--- a/tests/test-chat-peg-parser.cpp
+++ b/tests/test-chat-peg-parser.cpp
@@ -1,8 +1,3 @@
-#include <string>
-#include <iostream>
-#include <numeric>
-
-#include "chat-parser.h"
 #include "chat-peg-parser.h"
 #include "chat.h"
 #include "common.h"
@@ -10,6 +5,11 @@
 #include "peg-parser.h"
 #include "testing.h"
 #include "peg-parser/simple-tokenize.h"
+
+#include <iostream>
+#include <numeric>
+#include <string>
+
 #include "nlohmann/json.hpp"
 
 using json = nlohmann::ordered_json;
@@ -17,9 +17,12 @@ using json = nlohmann::ordered_json;
 static json create_tools();
 static void test_example_native(testing & t);
 static void test_example_qwen3_coder(testing & t);
+static void test_example_qwen3_non_coder(testing & t);
 static void test_command7_parser_compare(testing & t);
+static void test_prefix_tool_names(testing & t);
+static void test_tagged_peg_parser(testing & t);
 
-int main(int argc, char *argv[]) {
+int main(int argc, char * argv[]) {
     testing t(std::cout);
     if (argc >= 2) {
         t.set_filter(argv[1]);
@@ -32,7 +35,10 @@ int main(int argc, char *argv[]) {
 
     t.test("native", test_example_native);
     t.test("qwen3 coder", test_example_qwen3_coder);
+    t.test("qwen3 non-coder", test_example_qwen3_non_coder);
     t.test("comparison", test_command7_parser_compare);
+    t.test("prefix tool names", test_prefix_tool_names);
+    t.test("tagged peg parser", test_tagged_peg_parser);
 
     return t.summary();
 }
@@ -41,87 +47,75 @@ static json create_tools() {
     json tools = json::array();
 
     json tool_weather = {
-        {"type", "function"},
-        {"function", {
-            {"name", "get_current_weather"},
-            {"description", "Get the current weather in a given location"},
-            {"parameters", {
-                {"type", "object"},
-                {"properties", {
-                    {"location", {
-                        {"type", "string"},
-                        {"description", "The city and state, e.g. San Francisco, CA"}
-                    }},
-                    {"unit", {
-                        {"type", "string"},
-                        {"enum", {"celsius", "fahrenheit"}},
-                        {"description", "The temperature unit to use. Infer this from the users location."}
-                    }}
-                }},
-                {"required", {"location", "unit"}},
-            }},
-        }}
+        { "type",     "function" },
+        { "function",
+         {
+              { "name", "get_current_weather" },
+              { "description", "Get the current weather in a given location" },
+              { "parameters",
+                {
+                    { "type", "object" },
+                    { "properties",
+                      { { "location",
+                          { { "type", "string" }, { "description", "The city and state, e.g. San Francisco, CA" } } },
+                        { "unit",
+                          { { "type", "string" },
+                            { "enum", { "celsius", "fahrenheit" } },
+                            { "description",
+                              "The temperature unit to use. Infer this from the users location." } } } } },
+                    { "required", { "location", "unit" } },
+                } },
+          }                      }
     };
     tools.push_back(tool_weather);
 
     json tool_forecast = {
-        {"type", "function"},
-        {"function", {
-            {"name", "get_forecast"},
-            {"description", "Get the weather forecast for a given location"},
-            {"parameters", {
-                {"type", "object"},
-                {"properties", {
-                    {"location", {
-                        {"type", "string"},
-                        {"description", "The city and state, e.g. San Francisco, CA"}
-                    }},
-                    {"unit", {
-                        {"type", "string"},
-                        {"enum", {"celsius", "fahrenheit"}},
-                        {"description", "The temperature unit to use. Infer this from the users location."}
-                    }},
-                    {"days", {
-                        {"type", "integer"},
-                        {"description", "Number of days to forecast (1-10)"},
-                        {"minimum", 1},
-                        {"maximum", 10}
-                    }}
-                }},
-                {"required", {"location", "unit"}},
-            }},
-        }}
+        { "type",     "function" },
+        { "function",
+         {
+              { "name", "get_forecast" },
+              { "description", "Get the weather forecast for a given location" },
+              { "parameters",
+                {
+                    { "type", "object" },
+                    { "properties",
+                      { { "location",
+                          { { "type", "string" }, { "description", "The city and state, e.g. San Francisco, CA" } } },
+                        { "unit",
+                          { { "type", "string" },
+                            { "enum", { "celsius", "fahrenheit" } },
+                            { "description", "The temperature unit to use. Infer this from the users location." } } },
+                        { "days",
+                          { { "type", "integer" },
+                            { "description", "Number of days to forecast (1-10)" },
+                            { "minimum", 1 },
+                            { "maximum", 10 } } } } },
+                    { "required", { "location", "unit" } },
+                } },
+          }                      }
     };
     tools.push_back(tool_forecast);
 
     json tool_search = {
-        {"type", "function"},
-        {"function", {
-            {"name", "search_knowledge_base"},
-            {"description", "Search the internal technical documentation knowledge base."},
-            {"parameters", {
-                {"type", "object"},
-                {"properties", {
-                    {"query", {
-                        {"type", "string"},
-                        {"description", "The search query string."}
-                    }},
-                    {"max_results", {
-                        {"type", "integer"},
-                        {"description", "The maximum number of results to return."},
-                        {"default", 5}
-                    }},
-                    {"category", {
-                        {"type", "string"},
-                        {"enum", {"api", "troubleshooting", "billing", "general"}},
-                        {"description", "Filter search by specific category."}
-                    }}
-                }},
-                {"required", {"query", "category"}},
-                {"additionalProperties", false}
-            }},
-            {"strict", true}
-        }}
+        { "type",     "function" },
+        { "function",
+         { { "name", "search_knowledge_base" },
+            { "description", "Search the internal technical documentation knowledge base." },
+            { "parameters",
+              { { "type", "object" },
+                { "properties",
+                  { { "query", { { "type", "string" }, { "description", "The search query string." } } },
+                    { "max_results",
+                      { { "type", "integer" },
+                        { "description", "The maximum number of results to return." },
+                        { "default", 5 } } },
+                    { "category",
+                      { { "type", "string" },
+                        { "enum", { "api", "troubleshooting", "billing", "general" } },
+                        { "description", "Filter search by specific category." } } } } },
+                { "required", { "query", "category" } },
+                { "additionalProperties", false } } },
+            { "strict", true } } }
     };
     tools.push_back(tool_search);
 
@@ -131,39 +125,39 @@ static json create_tools() {
 struct tool_argument {
     std::string name;
     std::string type;
-    bool is_required;
-    json schema;
+    bool        is_required;
+    json        schema;
 };
 
 struct tool_definition {
-    std::string name;
+    std::string                name;
     std::vector<tool_argument> arguments;
-    json schema;
+    json                       schema;
 };
 
 // Test fictitious model output that emits arguments as JSON.
 static void test_example_native(testing & t) {
     struct test_case {
         // Parameters
-        std::string name;
-        json tools;
+        std::string             name;
+        json                    tools;
         common_chat_tool_choice tool_choice;
         common_reasoning_format reasoning_format;
-        json json_schema;
-        bool parallel_tool_calls;
-        bool thinking_forced_open;
-        std::string input;
+        json                    json_schema;
+        bool                    parallel_tool_calls;
+        bool                    thinking_forced_open;
+        std::string             input;
 
         // Expect
-        std::string expect_reasoning;
-        std::string expect_content;
+        std::string                        expect_reasoning;
+        std::string                        expect_content;
         std::vector<common_chat_tool_call> expect_tool_calls;
     };
 
     auto build_parser = [](const test_case & tc) {
-        return build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) {
+        return build_chat_peg_parser([&](common_chat_peg_builder & p) {
             auto reasoning_in_content = (tc.reasoning_format == COMMON_REASONING_FORMAT_NONE);
-            auto reasoning = p.eps();
+            auto reasoning            = p.eps();
             if (tc.thinking_forced_open) {
                 // If thinking is forced open, expect a closing tag
                 reasoning = p.reasoning(p.until("</think>")) + "</think>" + p.space();
@@ -174,231 +168,188 @@ static void test_example_native(testing & t) {
 
             // tool calling parser
             if (tc.tools.is_array() && !tc.tools.empty()) {
-                auto tools = p.choice();
-                for (const auto & tool : tc.tools) {
-                    const auto & function = tool.at("function");
-                    std::string name = function.at("name");
-                    const auto & schema = function.at("parameters");
-
-                    auto tool_name = p.json_member("name", "\"" + p.tool_name(p.literal(name)) + "\"");
-                    auto tool_args = p.json_member("arguments", p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)));
+                auto tool_call =
+                    p.standard_json_tools("<tool_call>[", "]</tool_call>", tc.tools, tc.parallel_tool_calls,
+                                          tc.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED);
 
-                    tools |= p.rule("tool-" + name, p.tool_open(p.literal("{")) << tool_name << "," << tool_args << "}");
-                };
-
-                auto parallel_calls = p.eps();
-                if (tc.parallel_tool_calls) {
-                    parallel_calls = p.zero_or_more("," << tools);
-                }
-
-                auto tool_call = p.trigger_rule("tool-call",
-                    p.sequence({
-                        p.literal("<tool_call>["),
-                        tools,
-                        parallel_calls,
-                        p.literal("]</tool_call>")
-                    })
-                );
-
-                return p.sequence({
-                    (reasoning_in_content ? p.eps() : reasoning),
-                    p.content(p.until("<tool_call>")),
-                    p.optional(p.space() + tool_call),
-                    p.space(),
-                    p.end()
-                });
+                return p.sequence({ (reasoning_in_content ? p.eps() : reasoning), p.content(p.until("<tool_call>")),
+                                    p.optional(p.space() + tool_call), p.space(), p.end() });
             }
 
             // response_format parser
             if (tc.json_schema.is_object() && !tc.json_schema.empty()) {
-                return p.sequence({
-                    (reasoning_in_content ? p.eps() : reasoning),
-                    p.content(p.schema(p.json(), "response-output", tc.json_schema)),
-                    p.space(),
-                    p.end()
-                });
+                return p.sequence({ (reasoning_in_content ? p.eps() : reasoning),
+                                    p.content(p.schema(p.json(), "response-output", tc.json_schema)), p.space(),
+                                    p.end() });
             }
 
             // Content-only parser
-            return p.sequence({
-                (reasoning_in_content ? p.eps() : reasoning),
-                p.content(p.rest()),
-                p.end()
-            });
+            return p.sequence({ (reasoning_in_content ? p.eps() : reasoning), p.content(p.rest()), p.end() });
         });
     };
 
     std::vector<test_case> test_cases = std::vector<test_case>{
         {
-            /* .name =                 */ "content with thinking_forced_open = false",
-            /* .tools =                */ {},
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ false,
-            /* .input =                */ (
-                "<think>The user said hello, I must say hello back</think>\nHello"
-            ),
-            /* .expect_reasoning =     */ "The user said hello, I must say hello back",
-            /* .expect_content =       */ "Hello",
-            /* .expect_tool_calls =    */ {},
-        },
+         /* .name =                 */ "content with thinking_forced_open = false",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ false,
+         /* .input =                */ ("<think>The user said hello, I must say hello back</think>\nHello"),
+         /* .expect_reasoning =     */ "The user said hello, I must say hello back",
+         /* .expect_content =       */ "Hello",
+         /* .expect_tool_calls =    */ {},
+         },
         {
-            /* .name =                 */ "content with thinking_forced_open = false and no reasoning",
-            /* .tools =                */ {},
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ false,
-            /* .input =                */ (
-                "Hello"
-            ),
-            /* .expect_reasoning =     */ "",
-            /* .expect_content =       */ "Hello",
-            /* .expect_tool_calls =    */ {},
-        },
+         /* .name =                 */ "content with thinking_forced_open = false and no reasoning",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ false,
+         /* .input =                */ ("Hello"),
+         /* .expect_reasoning =     */ "",
+         /* .expect_content =       */ "Hello",
+         /* .expect_tool_calls =    */ {},
+         },
         {
-            /* .name =                 */ "content with thinking_forced_open = false and reasoning_format = none",
-            /* .tools =                */ {},
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_NONE,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ true,
-            /* .input =                */ (
-                "<think>The user said hello, I must say hello back</think>\nHello"
-            ),
-            /* .expect_reasoning =     */ "",
-            /* .expect_content =       */ "<think>The user said hello, I must say hello back</think>\nHello",
-            /* .expect_tool_calls =    */ {},
-        },
+         /* .name =                 */ "content with thinking_forced_open = false and reasoning_format = none",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_NONE,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ true,
+         /* .input =                */ ("<think>The user said hello, I must say hello back</think>\nHello"),
+         /* .expect_reasoning =     */ "",
+         /* .expect_content =       */ "<think>The user said hello, I must say hello back</think>\nHello",
+         /* .expect_tool_calls =    */ {},
+         },
         {
-            /* .name =                 */ "content with thinking_forced_open = true",
-            /* .tools =                */ {},
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ true,
-            /* .input =                */ (
-                "The user said hello, I must say hello back</think>\nHello"
-            ),
-            /* .expect_reasoning =     */ "The user said hello, I must say hello back",
-            /* .expect_content =       */ "Hello",
-            /* .expect_tool_calls =    */ {},
-        },
+         /* .name =                 */ "content with thinking_forced_open = true",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ true,
+         /* .input =                */ ("The user said hello, I must say hello back</think>\nHello"),
+         /* .expect_reasoning =     */ "The user said hello, I must say hello back",
+         /* .expect_content =       */ "Hello",
+         /* .expect_tool_calls =    */ {},
+         },
         {
-            /* .name =                 */ "content with thinking_forced_open = true and reasoning_format = none",
-            /* .tools =                */ {},
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_NONE,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ true,
-            /* .input =                */ (
-                "The user said hello, I must say hello back</think>\nHello"
-            ),
-            /* .expect_reasoning =     */ "",
-            /* .expect_content =       */ "The user said hello, I must say hello back</think>\nHello",
-            /* .expect_tool_calls =    */ {},
-        },
+         /* .name =                 */ "content with thinking_forced_open = true and reasoning_format = none",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_NONE,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ true,
+         /* .input =                */ ("The user said hello, I must say hello back</think>\nHello"),
+         /* .expect_reasoning =     */ "",
+         /* .expect_content =       */ "The user said hello, I must say hello back</think>\nHello",
+         /* .expect_tool_calls =    */ {},
+         },
         {
-            /* .name =                 */ "tools with tool_choice = auto and no parallel_tool_calls",
-            /* .tools =                */ create_tools(),
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_AUTO,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ true,
-            /* .input =                */ (
-                "I must get the weather in New York</think>\n"
-                "<tool_call>["
-                R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})"
-                "]</tool_call>"
-            ),
-            /* .expect_reasoning =     */ "I must get the weather in New York",
-            /* .expect_content =       */ "",
-            /* .expect_tool_calls =    */ {{
+         /* .name =                 */ "tools with tool_choice = auto and no parallel_tool_calls",
+         /* .tools =                */ create_tools(),
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_AUTO,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ true,
+         /* .input =                */
+            ("I must get the weather in New York</think>\n"
+             "<tool_call>["
+             R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})"
+             "]</tool_call>"),
+         /* .expect_reasoning =     */ "I must get the weather in New York",
+         /* .expect_content =       */ "",
+         /* .expect_tool_calls =    */
+            { {
                 /* .name =      */ "get_current_weather",
                 /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})",
                 /* .id =        */ "",
-            }},
-        },
+            } },
+         },
         {
-            /* .name =                 */ "tools with tool_choice = auto and parallel_tool_calls",
-            /* .tools =                */ create_tools(),
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_AUTO,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
-            /* .json_schema =          */ {},
-            /* .parallel_tool_calls =  */ true,
-            /* .thinking_forced_open = */ true,
-            /* .input =                */ (
-                "I must get the weather in New York and San Francisco and a 3 day forecast of each.</think>\nLet me search that for you."
-                "<tool_call>["
-                R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})"
-                ", "
-                R"({"name": "get_current_weather", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit"}})"
-                ", "
-                R"({"name": "get_forecast", "arguments": {"location": "New York City, NY", "unit": "fahrenheit", "days": 3}})"
-                ", "
-                R"({"name": "get_forecast", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3}})"
-                "]</tool_call>"
-            ),
-            /* .expect_reasoning =     */ "I must get the weather in New York and San Francisco and a 3 day forecast of each.",
-            /* .expect_content =       */ "Let me search that for you.",
-            /* .expect_tool_calls =    */ {{
-                /* .name =      */ "get_current_weather",
-                /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})",
-                /* .id =        */ "",
-            }, {
-                /* .name =      */ "get_current_weather",
-                /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit"})",
-                /* .id =        */ "",
-            }, {
-                /* .name =      */ "get_forecast",
-                /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit", "days": 3})",
-                /* .id =        */ "",
-            }, {
-                /* .name =      */ "get_forecast",
-                /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3})",
-                /* .id =        */ "",
-            }},
-        },
+         /* .name =                 */ "tools with tool_choice = auto and parallel_tool_calls",
+         /* .tools =                */ create_tools(),
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_AUTO,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */ {},
+         /* .parallel_tool_calls =  */ true,
+         /* .thinking_forced_open = */ true,
+         /* .input =                */
+            ("I must get the weather in New York and San Francisco and a 3 day forecast of each.</think>\nLet me "
+             "search that for you."
+             "<tool_call>["
+             R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})"
+             ", "
+             R"({"name": "get_current_weather", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit"}})"
+             ", "
+             R"({"name": "get_forecast", "arguments": {"location": "New York City, NY", "unit": "fahrenheit", "days": 3}})"
+             ", "
+             R"({"name": "get_forecast", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3}})"
+             "]</tool_call>"),
+         /* .expect_reasoning =     */
+            "I must get the weather in New York and San Francisco and a 3 day forecast of each.",                                                                     /* .expect_content =       */ "Let me search that for you.",
+         /* .expect_tool_calls =    */
+            { {
+                  /* .name =      */ "get_current_weather",
+                  /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})",
+                  /* .id =        */ "",
+              },
+              {
+                  /* .name =      */ "get_current_weather",
+                  /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit"})",
+                  /* .id =        */ "",
+              },
+              {
+                  /* .name =      */ "get_forecast",
+                  /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit", "days": 3})",
+                  /* .id =        */ "",
+              },
+              {
+                  /* .name =      */ "get_forecast",
+                  /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3})",
+                  /* .id =        */ "",
+              } },
+         },
         {
-            /* .name =                 */ "response_format with thinking_forced_open = true",
-            /* .tools =                */ {},
-            /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
-            /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
-            /* .json_schema =          */ {
-                {"type", "object"},
-                {"properties", {
-                    {"invoice_number", {{"type", "string"}}},
-                    {"amount", {{"type", "number"}}},
-                    {"due_date", {{"type", "string"}}}
-                }},
-                {"required", {"invoice_number", "amount", "due_date"}}
-            },
-            /* .parallel_tool_calls =  */ false,
-            /* .thinking_forced_open = */ true,
-            /* .input =                */ (
-                "I must produce the invoice in the requested format</think>\n"
-                R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})"
-            ),
-            /* .expect_reasoning =     */ "I must produce the invoice in the requested format",
-            /* .expect_content =       */ R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})",
-            /* .expect_tool_calls =    */ {},
-        },
+         /* .name =                 */ "response_format with thinking_forced_open = true",
+         /* .tools =                */ {},
+         /* .tool_choice =          */ COMMON_CHAT_TOOL_CHOICE_NONE,
+         /* .reasoning_format =     */ COMMON_REASONING_FORMAT_AUTO,
+         /* .json_schema =          */
+            { { "type", "object" },
+              { "properties",
+                { { "invoice_number", { { "type", "string" } } },
+                  { "amount", { { "type", "number" } } },
+                  { "due_date", { { "type", "string" } } } } },
+              { "required", { "invoice_number", "amount", "due_date" } } },
+         /* .parallel_tool_calls =  */ false,
+         /* .thinking_forced_open = */ true,
+         /* .input =                */
+            ("I must produce the invoice in the requested format</think>\n"
+             R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})"),
+         /* .expect_reasoning =     */ "I must produce the invoice in the requested format",
+         /* .expect_content =       */
+            R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})", /* .expect_tool_calls =    */ {},
+         },
     };
 
     for (const auto & tc : test_cases) {
         t.test(tc.name, [&](testing & t) {
-            auto parser = build_parser(tc);
-            auto lazy = !tc.tools.empty() && tc.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+            auto parser  = build_parser(tc);
+            auto lazy    = !tc.tools.empty() && tc.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
             auto grammar = build_grammar([&](const common_grammar_builder & builder) {
-                for (auto const & def : tc.tools) {
-                    auto function = def.at("function");
+                for (const auto & def : tc.tools) {
+                    auto function   = def.at("function");
                     auto parameters = function.at("parameters");
                     builder.resolve_refs(parameters);
                 };
@@ -406,17 +357,17 @@ static void test_example_native(testing & t) {
             });
 
             t.log("Grammar:");
-            for (auto const & line : string_split(grammar, "\n")) {
+            for (const auto & line : string_split(grammar, "\n")) {
                 t.log(line);
             }
 
-            common_peg_parse_context ctx(tc.input, false);
-            auto result = parser.parse(ctx);
+            common_peg_parse_context ctx(tc.input);
+            auto                     result = parser.parse(ctx);
 
             t.assert_true("success", result.success());
 
             common_chat_msg msg;
-            auto mapper = common_chat_peg_native_mapper(msg);
+            auto            mapper = common_chat_peg_mapper(msg);
             mapper.from_ast(ctx.ast, result);
 
             t.assert_equal("content equal", tc.expect_content, msg.content);
@@ -431,16 +382,16 @@ static void test_example_native(testing & t) {
 }
 
 static void test_example_qwen3_coder(testing & t) {
-    auto tools = create_tools();
-    auto parser = build_chat_peg_constructed_parser([&](common_chat_peg_constructed_builder & p) {
+    auto tools  = create_tools();
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
         auto content = p.rule("content", p.content(p.until("<tool_call>")));
 
         std::vector<common_peg_parser> tool_parsers;
-        for (auto const & def : tools) {
-            auto function = def.at("function");
-            std::string name = function.at("name");
-            auto parameters = function.at("parameters");
-            auto properties = parameters.at("properties");
+        for (const auto & def : tools) {
+            auto        function   = def.at("function");
+            std::string name       = function.at("name");
+            auto        parameters = function.at("parameters");
+            auto        properties = parameters.at("properties");
 
             std::set<std::string> required_properties;
             if (function.contains("required")) {
@@ -450,59 +401,36 @@ static void test_example_qwen3_coder(testing & t) {
             std::vector<common_peg_parser> arg_parsers;
             for (const auto & [param_name, param_schema] : properties.items()) {
                 bool is_required = required_properties.find(param_name) != required_properties.end();
-                auto type = param_schema.value("type", "object");
-
-                auto arg = p.tool_arg(p.sequence({
-                    p.tool_arg_open("<parameter=" + p.tool_arg_name(p.literal(param_name)) + ">"),
-                    (type == "string" ?
-                        p.tool_arg_string_value(
-                            p.schema(
-                                p.until_one_of({
-                                    "</parameter>\n<parameter=",
-                                    "</parameter>\n</function>"
-                                }),
-                                "tool-" + name + "-arg-" + param_name + "-schema",
-                                param_schema,
-                                true
-                            )
-                        ) : p.tool_arg_json_value(
-                            p.schema(
-                                p.json(),
-                                "tool-" + name + "-arg-" + param_name + "-schema",
-                                param_schema
-                            )
-                        )
-                    ),
-                    p.tool_arg_close(
-                        "</parameter>\n" +
-                        p.peek(p.literal("<parameter=") | p.literal("</function>"))
-                    )
-                }));
-
-                arg_parsers.push_back(is_required ?
-                    p.rule("tool-" + name + "-arg-" + param_name, arg) :
-                    p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg)));
+                auto type        = param_schema.value("type", "object");
+
+                auto arg = p.tool_arg(
+                    p.sequence({ p.tool_arg_open("<parameter=" + p.tool_arg_name(p.literal(param_name)) + ">"),
+                                 (type == "string" ?
+                                      p.tool_arg_string_value(p.schema(
+                                          p.until_one_of({ "</parameter>\n<parameter=", "</parameter>\n</function>" }),
+                                          "tool-" + name + "-arg-" + param_name + "-schema", param_schema, true)) :
+                                      p.tool_arg_json_value(p.schema(
+                                          p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema))),
+                                 p.tool_arg_close("</parameter>\n" +
+                                                  p.peek(p.literal("<parameter=") | p.literal("</function>"))) }));
+
+                arg_parsers.push_back(is_required ? p.rule("tool-" + name + "-arg-" + param_name, arg) :
+                                                    p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg)));
             }
 
-            tool_parsers.push_back(p.rule("tool-" + name,
-                p.tool_open("<function=" + p.tool_name(p.literal(name)) + ">")
-                << p.sequence(arg_parsers)
-                << p.tool_close(p.literal("</function>"))
-            ));
+            tool_parsers.push_back(p.rule("tool-" + name, p.tool_open("<function=" + p.tool_name(p.literal(name)) + ">")
+                                                              << p.sequence(arg_parsers)
+                                                              << p.tool_close(p.literal("</function>"))));
         };
 
-        auto tool_call = p.trigger_rule("tool-call",
-            "<tool_call>"
-            << p.choice(tool_parsers)
-            << "</tool_call>"
-        );
+        auto tool_call = p.trigger_rule("tool-call", "<tool_call>" << p.choice(tool_parsers) << "</tool_call>");
 
         return content + p.zero_or_more(p.space() + tool_call) + p.end();
     });
 
     auto grammar = build_grammar([&](const common_grammar_builder & builder) {
-        for (auto const & def : tools) {
-            auto function = def.at("function");
+        for (const auto & def : tools) {
+            auto function   = def.at("function");
             auto parameters = function.at("parameters");
             builder.resolve_refs(parameters);
         };
@@ -510,11 +438,11 @@ static void test_example_qwen3_coder(testing & t) {
     });
 
     t.log("Grammar:");
-    for (auto const & line : string_split(grammar, "\n")) {
+    for (const auto & line : string_split(grammar, "\n")) {
         t.log(line);
     }
 
-    t.test("incremental parsing", [&](testing &t) {
+    t.test("incremental parsing", [&](testing & t) {
         std::string input =
             "Let me search the knowledge base for cat pictures."
             "<tool_call>\n"
@@ -530,7 +458,7 @@ static void test_example_qwen3_coder(testing & t) {
         for (auto it = tokens.begin(); it != tokens.end(); it++) {
             std::string in = std::accumulate(tokens.begin(), it + 1, std::string());
 
-            common_peg_parse_context ctx(in, it + 1 < tokens.end());
+            common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE);
 
             auto result = parser.parse(ctx);
             if (!t.assert_equal("not fail", false, result.fail())) {
@@ -538,7 +466,7 @@ static void test_example_qwen3_coder(testing & t) {
             }
 
             common_chat_msg msg;
-            auto mapper = common_chat_peg_constructed_mapper(msg);
+            auto            mapper = common_chat_peg_mapper(msg);
             mapper.from_ast(ctx.ast, result);
 
             //t.log("Input: " + input);
@@ -554,7 +482,105 @@ static void test_example_qwen3_coder(testing & t) {
             try {
                 // This shouldn't emit any runtime errors
                 auto diffs = common_chat_msg_diff::compute_diffs(prev, msg);
-            } catch(const std::exception & e) {
+            } catch (const std::exception & e) {
+                t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
+                t.assert_true(std::string("failed with ") + e.what(), false);
+            }
+
+            prev = msg;
+        }
+    });
+}
+
+static void test_example_qwen3_non_coder(testing & t) {
+    auto tools  = create_tools();
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        // tool calling parser using standard JSON format
+        auto tool_call = p.standard_json_tools("<tool_call>", "</tool_call>", tools, true, false);
+
+        return p.sequence({ p.content(p.until("<tool_call>")), p.optional(p.space() + tool_call), p.end() });
+    });
+
+    auto grammar = build_grammar([&](const common_grammar_builder & builder) {
+        for (const auto & def : tools) {
+            auto function   = def.at("function");
+            auto parameters = function.at("parameters");
+            builder.resolve_refs(parameters);
+        };
+        parser.build_grammar(builder);
+    });
+
+    t.log("Grammar:");
+    for (const auto & line : string_split(grammar, "\n")) {
+        t.log(line);
+    }
+
+    t.test("tool call parsing", [&](testing & t) {
+        std::string input =
+            "I need to get the weather.\n"
+            "<tool_call>"
+            "{\"name\": \"get_current_weather\", \"arguments\": {\"location\": \"New York City, NY\", \"unit\": "
+            "\"fahrenheit\"}}"
+            "</tool_call>";
+
+        common_peg_parse_context ctx(input);
+        auto                     result = parser.parse(ctx);
+
+        t.assert_true("success", result.success());
+
+        common_chat_msg msg;
+        auto            mapper = common_chat_peg_mapper(msg);
+        mapper.from_ast(ctx.ast, result);
+
+        t.assert_equal("content", "I need to get the weather.\n", msg.content);
+        t.assert_equal("reasoning", "", msg.reasoning_content);
+        t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+        if (!msg.tool_calls.empty()) {
+            t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name);
+            t.assert_equal("tool args", "{\"location\": \"New York City, NY\", \"unit\": \"fahrenheit\"}",
+                           msg.tool_calls[0].arguments);
+        }
+    });
+
+    t.test("incremental parsing", [&](testing & t) {
+        std::string input =
+            "I need to get the weather.\n"
+            "<tool_call>"
+            "{\"name\": \"get_current_weather\", \"arguments\": {\"location\": \"New York City, NY\", \"unit\": "
+            "\"fahrenheit\"}}"
+            "</tool_call>";
+
+        std::vector<std::string> tokens = simple_tokenize(input);
+
+        common_chat_msg prev;
+        for (auto it = tokens.begin(); it != tokens.end(); it++) {
+            std::string in = std::accumulate(tokens.begin(), it + 1, std::string());
+
+            common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE);
+
+            auto result = parser.parse(ctx);
+            if (!t.assert_equal("not fail", false, result.fail())) {
+                t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
+            }
+
+            common_chat_msg msg;
+            auto            mapper = common_chat_peg_mapper(msg);
+            mapper.from_ast(ctx.ast, result);
+
+            //t.log("Input: " + input);
+            t.log("===========================================");
+            t.log("Iteration " + std::to_string(in.size()));
+            t.log("Reasoning: " + msg.reasoning_content);
+            t.log("Content  : " + msg.content);
+            for (const auto & tc : msg.tool_calls) {
+                t.log("Tool name: " + tc.name);
+                t.log("Tool args: " + tc.arguments);
+            }
+
+            try {
+                // This shouldn't emit any runtime errors
+                auto diffs = common_chat_msg_diff::compute_diffs(prev, msg);
+            } catch (const std::exception & e) {
                 t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
                 t.assert_true(std::string("failed with ") + e.what(), false);
             }
@@ -565,38 +591,37 @@ static void test_example_qwen3_coder(testing & t) {
 }
 
 void test_command7_parser_compare(testing & t) {
-    auto parser = build_chat_peg_native_parser([](common_chat_peg_native_builder & p) {
-        auto thinking = p.reasoning_block(
-            "<|START_THINKING|>" << p.reasoning(p.until("<|END_THINKING|>")) << "<|END_THINKING|>");
+    auto parser = build_chat_peg_parser([](common_chat_peg_builder & p) {
+        auto thinking =
+            p.reasoning_block("<|START_THINKING|>" << p.reasoning(p.until("<|END_THINKING|>")) << "<|END_THINKING|>");
 
         auto response = "<|START_RESPONSE|>" << p.content(p.until("<|END_RESPONSE|>")) << "<|END_RESPONSE|>";
 
-        auto tool_call_id = p.atomic("\"tool_call_id\"" << (":" << ("\"" + p.tool_id(p.json_string_content()) + "\"")));
-        auto tool_call_name = p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.json_string_content()) + "\"")));
+        auto tool_call_id = p.atomic("\"tool_call_id\"" << (":" << ("\"" + p.tool_id(p.string_content('"')) + "\"")));
+        auto tool_call_name =
+            p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.string_content('"')) + "\"")));
         auto tool_call_args = "\"parameters\"" << (":" << p.tool_args(p.json()));
 
         auto tool_call_fields = p.rule("tool-call-fields", tool_call_id | tool_call_name | tool_call_args);
-        auto tool_call = p.rule("tool-call", p.tool(
-            p.tool_open(p.literal("{"))
-            << tool_call_fields
-            << p.zero_or_more( p.literal(",") << tool_call_fields)
-            << p.tool_close(p.literal("}"))
-        ));
-
-        auto tool_calls = p.rule("tool-calls",
-            "<|START_ACTION|>"
-            << ("[" << tool_call << p.zero_or_more(p.literal(",") << tool_call) << "]")
-            << "<|END_ACTION|>");
+        auto tool_call =
+            p.rule("tool-call", p.tool(p.tool_open(p.literal("{"))
+                                       << tool_call_fields << p.zero_or_more(p.literal(",") << tool_call_fields)
+                                       << p.tool_close(p.literal("}"))));
+
+        auto tool_calls = p.rule(
+            "tool-calls", "<|START_ACTION|>" << ("[" << tool_call << p.zero_or_more(p.literal(",") << tool_call) << "]")
+                                             << "<|END_ACTION|>");
 
         return p.optional(thinking) << (tool_calls | response) + p.end();
     });
 
-    auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial, bool print_results) {
-        common_peg_parse_context ctx(input, is_partial);
-        auto result = p.parse(ctx);
+    auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial,
+                            bool print_results) {
+        common_peg_parse_context ctx(input, is_partial ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE);
+        auto                     result = p.parse(ctx);
 
         common_chat_msg msg;
-        auto mapper = common_chat_peg_native_mapper(msg);
+        auto            mapper = common_chat_peg_mapper(msg);
         mapper.from_ast(ctx.ast, result);
 
         if (print_results) {
@@ -614,79 +639,19 @@ void test_command7_parser_compare(testing & t) {
         }
     };
 
-    auto test_legacy = [&](const std::string & input, bool need_more_input, bool print_results) {
-        // Original common_chat_combinator_parser taken from chat.cpp
-        common_chat_parser_params params;
-        params.format = COMMON_CHAT_FORMAT_GENERIC;
-        params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-        params.reasoning_in_content = false;
-        params.thinking_forced_open = false;
-        common_chat_msg_parser builder(
-            input,
-            /* .is_partial = */ need_more_input,
-            params
-        );
-
-        builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>");
-
-        static const common_regex start_action_regex("<\\|START_ACTION\\|>");
-        static const common_regex end_action_regex("<\\|END_ACTION\\|>");
-        static const common_regex start_response_regex("<\\|START_RESPONSE\\|>");
-        static const common_regex end_response_regex("<\\|END_RESPONSE\\|>");
-
-        if (auto res = builder.try_find_regex(start_action_regex)) {
-            // If we didn't extract thoughts, prelude includes them.
-            auto tool_calls = builder.consume_json_with_dumped_args({ { "parameters" } });
-            for (const auto & tool_call : tool_calls.value) {
-                std::string name      = tool_call.contains("tool_name") ? tool_call.at("tool_name") : "";
-                std::string id        = tool_call.contains("tool_call_id") ? tool_call.at("tool_call_id") : "";
-                std::string arguments = tool_call.contains("parameters") ? tool_call.at("parameters") : "";
-                if (!builder.add_tool_call(name, id, arguments) || tool_calls.is_partial) {
-                    throw common_chat_msg_partial_exception("incomplete tool call");
-                }
-            }
-            if (tool_calls.is_partial) {
-                throw common_chat_msg_partial_exception("incomplete tool call");
-            }
-            builder.consume_regex(end_action_regex);
-        } else if (auto res = builder.try_find_regex(start_response_regex)) {
-            if (!builder.try_find_regex(end_response_regex)) {
-                builder.add_content(builder.consume_rest());
-                throw common_chat_msg_partial_exception(end_response_regex.str());
-            }
-        } else {
-            builder.add_content(builder.consume_rest());
-        }
-
-        if (print_results) {
-            std::cout << "== Parsed (legacy) ==\n";
-            std::cout << "=== Reasoning ===\n";
-            std::cout << builder.result().reasoning_content << "\n";
-            std::cout << "\n\n=== Content ===\n";
-            std::cout << builder.result().content << "\n";
-            std::cout << "\n\n=== Tool Calls ===\n";
-            for (const auto & tc : builder.result().tool_calls) {
-                std::cout << "id: " << tc.id << "\n";
-                std::cout << "name: " << tc.name << "\n";
-                std::cout << "args: " << tc.arguments << "\n";
-            }
-        }
-    };
-
-    std::string reasoning = "To plan an effective trip to Japan that includes both historical sites and modern attractions within a "
-            "budget of $4000 for a two-week stay, we need to:\n\n"
-            "1. Identify key historical sites and modern attractions in Japan.\n"
-            "2. Find affordable accommodation options that provide a balance between comfort and cost.\n"
-            "3. Determine the best modes of transportation for getting around Japan.\n"
-            "4. Create a day-by-day itinerary that ensures the user gets to see a variety of attractions without "
-            "overspending.\n"
-            "5. Provide a detailed cost breakdown that includes accommodation, transportation, meals, and entry fees "
-            "to attractions.";
-
-    std::vector<std::tuple<std::string, std::string, nlohmann::json>> tool_calls = {{
-        "call_0",
-        "plan_trip",
-        nlohmann::json::parse(R"({
+    std::string reasoning =
+        "To plan an effective trip to Japan that includes both historical sites and modern attractions within a "
+        "budget of $4000 for a two-week stay, we need to:\n\n"
+        "1. Identify key historical sites and modern attractions in Japan.\n"
+        "2. Find affordable accommodation options that provide a balance between comfort and cost.\n"
+        "3. Determine the best modes of transportation for getting around Japan.\n"
+        "4. Create a day-by-day itinerary that ensures the user gets to see a variety of attractions without "
+        "overspending.\n"
+        "5. Provide a detailed cost breakdown that includes accommodation, transportation, meals, and entry fees "
+        "to attractions.";
+
+    std::vector<std::tuple<std::string, std::string, nlohmann::json>> tool_calls = {
+        { "call_0", "plan_trip", nlohmann::json::parse(R"({
             "destination": "Japan",
             "duration": 14,
             "budget": 4000,
@@ -694,8 +659,8 @@ void test_command7_parser_compare(testing & t) {
             "accommodation_preferences": "affordable",
             "transportation_preferences": "efficient",
             "meal_preferences": "local cuisine"
-        })")
-    }};
+        })") }
+    };
 
     std::vector<std::string> tokens;
 
@@ -712,10 +677,10 @@ void test_command7_parser_compare(testing & t) {
 
         auto json = nlohmann::json::array();
         for (const auto & tc : tool_calls) {
-            auto tc_json = nlohmann::json::object();
+            auto tc_json            = nlohmann::json::object();
             tc_json["tool_call_id"] = std::get<0>(tc);
-            tc_json["tool_name"] = std::get<1>(tc);
-            tc_json["parameters"] = std::get<2>(tc);
+            tc_json["tool_name"]    = std::get<1>(tc);
+            tc_json["parameters"]   = std::get<2>(tc);
             json.push_back(tc_json);
         }
 
@@ -727,42 +692,284 @@ void test_command7_parser_compare(testing & t) {
 
     std::string input = std::accumulate(tokens.begin(), tokens.end(), std::string());
 
-    // Run tests
-    t.test("legacy_parse", [&](testing & /* t */) {
-        test_legacy(input, false, false);
-    });
+    t.test("current_parse", [&](testing & /* t */) { test_current(parser, input, false, false); });
+    t.bench("current_parse_benchmark complete", [&]() { test_current(parser, input, false, false); }, 100);
+    t.bench(
+        "current_parse_benchmark incremental",
+        [&]() {
+            std::string in;
+            for (auto i = 0u; i < tokens.size(); i++) {
+                in += tokens[i];
+                test_current(parser, in, i + 1 < tokens.size(), false);
+            }
+        },
+        20);
+}
+
+// Test that tool names that are proper prefixes of other tool names don't cause
+// premature matching during incremental parsing.
+// For example, "special_function" should not match when parsing "special_function_with_opt".
+static void test_prefix_tool_names(testing & t) {
+    // Create tools where one name is a proper prefix of another
+    json tools = json::array();
 
-    t.test("current_parse", [&](testing & /* t */) {
-        test_current(parser, input, false, false);
+    json tool_short = {
+        { "type", "function" },
+        { "function",
+          {
+              { "name", "special_function" },
+              { "description", "A special function" },
+              { "parameters",
+                {
+                    { "type", "object" },
+                    { "properties",
+                      {
+                          { "arg1", { { "type", "integer" } } },
+                      } },
+                    { "required", { "arg1" } },
+                } },
+          } }
+    };
+    tools.push_back(tool_short);
+
+    json tool_long = {
+        { "type", "function" },
+        { "function",
+          {
+              { "name", "special_function_with_opt" },
+              { "description", "A special function with optional params" },
+              { "parameters",
+                {
+                    { "type", "object" },
+                    { "properties",
+                      {
+                          { "arg1", { { "type", "integer" } } },
+                          { "arg2", { { "type", "integer" } } },
+                      } },
+                    { "required", { "arg1" } },
+                } },
+          } }
+    };
+    tools.push_back(tool_long);
+
+    // Use standard_constructed_tools which had the prefix matching bug
+    std::map<std::string, std::string> markers = {
+        { "tool_call_start_marker", "<tool_call>" },
+        { "tool_call_end_marker", "</tool_call>" },
+        { "function_opener", "<function=" },
+        { "function_closer", "</function>" },
+        { "function_name_suffix", ">" },
+        { "parameter_key_prefix", "<param=" },
+        { "parameter_key_suffix", ">" },
+        { "parameter_closer", "</param>" },
+    };
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto content   = p.rule("content", p.content(p.until("<tool_call>")));
+        auto tool_call = p.standard_constructed_tools(markers, tools, false, false);
+        return content + p.zero_or_more(p.space() + tool_call) + p.end();
     });
 
-    // Run benchmarks
-    t.bench("legacy_parse_benchmark complete", [&]() {
-        test_legacy(input, false, false);
+    // Test parsing the long tool name - this should NOT trigger the short tool name
+    t.test("parse long tool name", [&](testing & t) {
+        std::string input =
+            "Let me call the function."
+            "<tool_call>"
+            "<function=special_function_with_opt>"
+            "<param=arg1>42</param>"
+            "</function>"
+            "</tool_call>";
+
+        common_peg_parse_context ctx(input);
+        auto                     result = parser.parse(ctx);
+
+        t.assert_true("success", result.success());
+
+        common_chat_msg msg;
+        auto            mapper = common_chat_peg_mapper(msg);
+        mapper.from_ast(ctx.ast, result);
+
+        t.assert_equal("content", "Let me call the function.", msg.content);
+        t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+        if (!msg.tool_calls.empty()) {
+            t.assert_equal("tool name", "special_function_with_opt", msg.tool_calls[0].name);
+        }
     });
 
-    t.bench("legacy_parse_benchmark incremental", [&]() {
-        std::string in;
-        for (auto i = 0u; i < tokens.size(); i++) {
-            in += tokens[i];
+    // Test incremental parsing - the key test case
+    // This ensures that when incrementally parsing "special_function_with_opt",
+    // we don't prematurely emit "special_function" as a tool call
+    t.test("incremental parse long tool name", [&](testing & t) {
+        std::string input =
+            "Let me call the function."
+            "<tool_call>"
+            "<function=special_function_with_opt>"
+            "<param=arg1>42</param>"
+            "</function>"
+            "</tool_call>";
+
+        std::vector<std::string> tokens = simple_tokenize(input);
+
+        common_chat_msg prev;
+        for (auto it = tokens.begin(); it != tokens.end(); it++) {
+            std::string in = std::accumulate(tokens.begin(), it + 1, std::string());
+
+            common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE);
+            auto                     result = parser.parse(ctx);
+
+            if (!t.assert_equal("not fail", false, result.fail())) {
+                t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
+                return;
+            }
+
+            common_chat_msg msg;
+            auto            mapper = common_chat_peg_mapper(msg);
+            mapper.from_ast(ctx.ast, result);
+
+            // The critical check: during incremental parsing, we should never
+            // see "special_function" as the tool name when parsing "special_function_with_opt"
+            for (const auto & tc : msg.tool_calls) {
+                if (!t.assert_equal("tool name should not be short prefix", false,
+                                    tc.name == "special_function")) {
+                    t.log("Premature tool name match at input: " + in);
+                    return;
+                }
+            }
 
             try {
-                test_legacy(in, i + 1 < tokens.size(), false);
-            } catch (common_chat_msg_partial_exception & /* e */) {
-                // Do nothing, this is expected
+                auto diffs = common_chat_msg_diff::compute_diffs(prev, msg);
+            } catch (const std::exception & e) {
+                t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
+                t.assert_true(std::string("diff failed with ") + e.what(), false);
+                return;
             }
+
+            prev = msg;
+        }
+
+        // Final check: the complete parse should have the correct tool name
+        t.assert_equal("final tool calls count", 1u, prev.tool_calls.size());
+        if (!prev.tool_calls.empty()) {
+            t.assert_equal("final tool name", "special_function_with_opt", prev.tool_calls[0].name);
         }
-    }, 20);
+    });
+
+    // Test parsing the short tool name still works
+    t.test("parse short tool name", [&](testing & t) {
+        std::string input =
+            "Let me call the function."
+            "<tool_call>"
+            "<function=special_function>"
+            "<param=arg1>42</param>"
+            "</function>"
+            "</tool_call>";
 
-    t.bench("current_parse_benchmark complete", [&]() {
-        test_current(parser, input, false, false);
-    }, 100);
+        common_peg_parse_context ctx(input);
+        auto                     result = parser.parse(ctx);
 
-    t.bench("current_parse_benchmark incremental", [&]() {
-        std::string in;
-        for (auto i = 0u; i < tokens.size(); i++) {
-            in += tokens[i];
-            test_current(parser, in, i + 1 < tokens.size(), false);
+        t.assert_true("success", result.success());
+
+        common_chat_msg msg;
+        auto            mapper = common_chat_peg_mapper(msg);
+        mapper.from_ast(ctx.ast, result);
+
+        t.assert_equal("content", "Let me call the function.", msg.content);
+        t.assert_equal("tool calls count", 1u, msg.tool_calls.size());
+        if (!msg.tool_calls.empty()) {
+            t.assert_equal("tool name", "special_function", msg.tool_calls[0].name);
         }
-    }, 20);
+    });
+}
+
+static void test_tagged_peg_parser(testing & t) {
+    t.test("basic tag extraction", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            return p.tag("greeting", p.until(" ")) + " " + p.tag("name", p.rest()) + p.end();
+        });
+
+        auto result = parser.parse_and_extract("Hello World");
+        t.assert_true("success", result.result.success());
+        t.assert_equal("greeting tag", "Hello", result.tags.at("greeting"));
+        t.assert_equal("name tag", "World", result.tags.at("name"));
+    });
+
+    t.test("duplicate tags overwrite", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            return p.tag("item", p.until(",")) + "," + p.tag("item", p.rest()) + p.end();
+        });
+
+        auto result = parser.parse_and_extract("first,second");
+        t.assert_true("success", result.result.success());
+        t.assert_equal("item tag", "second", result.tags.at("item"));
+    });
+
+    t.test("no tags extracted", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            return p.rest() + p.end();
+        });
+
+        auto result = parser.parse_and_extract("Hello");
+        t.assert_true("success", result.result.success());
+        t.assert_equal("empty tags", 0u, result.tags.size());
+    });
+
+    t.test("structured extraction", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            auto header = p.tag("header", p.until("\n"));
+            auto body = p.tag("body", p.rest());
+            return header + "\n" + body + p.end();
+        });
+
+        auto result = parser.parse_and_extract("Title\nBody content here");
+        t.assert_true("success", result.result.success());
+        t.assert_equal("header", "Title", result.tags.at("header"));
+        t.assert_equal("body", "Body content here", result.tags.at("body"));
+    });
+
+    t.test("partial parse", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            return p.tag("prefix", p.until(":")) + ":" + p.tag("value", p.rest()) + p.end();
+        });
+
+        auto result = parser.parse_and_extract("key:val", COMMON_PEG_PARSE_FLAG_LENIENT);
+        t.assert_true("not fail", !result.result.fail());
+        t.assert_equal("prefix tag", "key", result.tags.at("prefix"));
+        t.assert_equal("value tag", "val", result.tags.at("value"));
+    });
+
+    t.test("find in the middle", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            return p.choice({ p.literal("{"), p.literal(":") }) + p.space() + p.literal("\"") + p.atomic(p.literal("fun_name"));
+        });
+
+        std::string tpl = "This is a very long jinja template string. We have tools. We will try to call them now: <tool_call>{ \"fun_name\" : { \"arg\" : 1 }</tool_call>";
+        auto result = parser.parse_anywhere_and_extract(tpl);
+        t.assert_true("success", result.result.success());
+    });
+
+    t.test("fail find in the middle", [&](testing & t) {
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            return p.choice({ p.literal("{"), p.literal(":") }) + p.space() + p.literal("\"") + p.atomic(p.literal("fun_name"));
+        });
+
+        std::string tpl = "This is a very long jinja template string. We have tools. We will try to call them now: <tool_call><fun=fun_name><arg name=arg>1</arg></tool_call>";
+        auto result = parser.parse_anywhere_and_extract(tpl);
+        t.assert_true("failure", result.result.fail());
+    });
+
+    t.test("find function tag with name", [&](testing &t) {
+        std::string haystack = "\n<tool_call>\n<function=foofoo>\n<parameter=first>\nXXXX\n</parameter>\n<parameter=second>\nYYYY\n</parameter>\n</function>\n</tool_call>\n";
+        auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) {
+            std::string needle = "foofoo";
+            return p.tag("fun_marker", p.choice({
+            p.tag("fun_pre", p.literal("<") + p.until_one_of({ ">", needle })) + p.literal(needle) +
+                p.tag("fun_post", p.negate(p.space() + p.literal("<")) + p.until(">") + p.literal(">")) + p.space(),
+            p.tag("fun_pre", p.literal("[") + p.until_one_of({ "]", needle })) + p.literal(needle) +
+                p.tag("fun_post", p.negate(p.space() + p.literal("[") + p.until("]") + p.literal("]")) + p.space()) }));
+        });
+        auto result = parser.parse_anywhere_and_extract(haystack);
+        t.assert_true("success", result.result.success());
+        t.assert_equal("fun_pre should be '<function='", "<function=", result.tags["fun_pre"]);
+        t.assert_equal("fun_post should be '>'", ">", result.tags["fun_post"]);
+    });
 }
diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp
index 27b537a0369..6cc132131c1 100644
--- a/tests/test-chat-template.cpp
+++ b/tests/test-chat-template.cpp
@@ -1,4 +1,5 @@
 #include <string>
+#include <utility>
 #include <vector>
 #include <sstream>
 #include <regex>
@@ -21,17 +22,16 @@
 
 using json = nlohmann::ordered_json;
 
-int main_automated_tests(void);
+static int main_automated_tests(void);
 
-void run_multiple(std::string dir_path, bool stop_on_first_failure, json input, bool use_common = false);
-void run_single(std::string contents, json input, bool use_common = false, const std::string & output_path = "");
+static void run_multiple(const std::string& dir_path, bool stop_on_first_failure, const json& input, bool use_common = false);
+static void run_single(const std::string& contents, json input, bool use_common = false, const std::string & output_path = "");
 
-
-
-std::string HELP = R"(
+static std::string HELP = R"(
 Usage: test-chat-template [OPTIONS] PATH_TO_TEMPLATE
 Options:
   -h, --help               Show this help message and exit.
+  --with-tools             Add a tool and a tool call to the default JSON input
   --json <path>            Path to the JSON input file.
   --stop-on-first-fail     Stop testing on the first failure (default: false).
   --no-common              Use direct Jinja engine instead of common chat templates (default: use common).
@@ -41,7 +41,23 @@ If PATH_TO_TEMPLATE is a directory, runs all .jinja files in that directory.
 If PATH_TO_TEMPLATE is omitted, runs automated tests (default CI mode).
 )";
 
-std::string DEFAULT_JSON = R"({
+static std::string DEFAULT_JSON = R"({
+    "messages": [
+        {
+            "role": "user",
+            "content": "Hello, how are you?"
+        },
+        {
+            "role": "assistant",
+            "content": "I am fine, thank you!"
+        }
+    ],
+    "bos_token": "<s>",
+    "eos_token": "</s>",
+    "add_generation_prompt": true
+})";
+
+static std::string DEFAULT_JSON_WITH_TOOLS = R"({
     "messages": [
         {
             "role": "user",
@@ -50,6 +66,41 @@ std::string DEFAULT_JSON = R"({
         {
             "role": "assistant",
             "content": "I am fine, thank you!"
+        },
+        {
+            "role": "user",
+            "content": "Call a tool!"
+        },
+        {
+            "role": "assistant",
+            "tool_calls": [
+                {
+                    "id": "call00001",
+                    "type": "function",
+                    "function": {
+                        "name": "test",
+                        "arguments": { "arg": "hello" }
+                    }
+                }
+            ]
+        }
+    ],
+    "tools": [
+        {
+            "type": "function",
+            "function": {
+                "name": "test",
+                "description": "Test",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "arg": {
+                            "type": "string"
+                        }
+                    }
+                },
+                "required": ["arg"]
+            }
         }
     ],
     "bos_token": "<s>",
@@ -57,12 +108,14 @@ std::string DEFAULT_JSON = R"({
     "add_generation_prompt": true
 })";
 
+
 int main(int argc, char ** argv) {
     std::vector<std::string> args(argv, argv + argc);
 
     std::string tmpl_path;
     std::string json_path;
     std::string output_path;
+    std::string & json_to_use = DEFAULT_JSON;
     bool stop_on_first_fail = false;
     bool use_common = true;
 
@@ -70,9 +123,12 @@ int main(int argc, char ** argv) {
         if (args[i] == "--help" || args[i] == "-h") {
             std::cout << HELP << "\n";
             return 0;
-        } else if (args[i] == "--json" && i + 1 < args.size()) {
+        }
+        if (args[i] == "--json" && i + 1 < args.size()) {
             json_path = args[i + 1];
             i++;
+        } else if (args[i] == "--with-tools") {
+            json_to_use = DEFAULT_JSON_WITH_TOOLS;
         } else if (args[i] == "--stop-on-first-fail") {
             stop_on_first_fail = true;
         } else if (args[i] == "--output" && i + 1 < args.size()) {
@@ -105,7 +161,7 @@ int main(int argc, char ** argv) {
             std::istreambuf_iterator<char>());
         input_json = json::parse(content);
     } else {
-        input_json = json::parse(DEFAULT_JSON);
+        input_json = json::parse(json_to_use);
     }
 
     std::filesystem::path p(tmpl_path);
@@ -125,7 +181,7 @@ int main(int argc, char ** argv) {
     return 0;
 }
 
-void run_multiple(std::string dir_path, bool stop_on_first_fail, json input, bool use_common) {
+void run_multiple(const std::string& dir_path, bool stop_on_first_fail, const json& input, bool use_common) {
     std::vector<std::string> failed_tests;
 
     // list all files in models/templates/ and run each
@@ -180,7 +236,7 @@ static std::string format_using_common(
     common_chat_templates_inputs inputs;
     inputs.use_jinja = true;
     inputs.messages = messages;
-    inputs.tools = tools;
+    inputs.tools = std::move(tools);
     inputs.add_generation_prompt = true;
     auto output = common_chat_templates_apply(tmpls.get(), inputs).prompt;
     output = normalize_newlines(output);
@@ -209,7 +265,7 @@ static jinja::value_string format_using_direct_engine(
 
     jinja::runtime runtime(ctx);
     const jinja::value results = runtime.execute(ast);
-    auto parts = runtime.gather_string_parts(results);
+    auto parts = jinja::runtime::gather_string_parts(results);
 
     std::cout << "\n=== RESULTS ===\n";
     for (const auto & part : parts->as_string().parts) {
@@ -220,7 +276,7 @@ static jinja::value_string format_using_direct_engine(
 }
 
 
-void run_single(std::string contents, json input, bool use_common, const std::string & output_path) {
+void run_single(const std::string& contents, json input, bool use_common, const std::string & output_path) {
     jinja::enable_debug(true);
 
     jinja::value_string output_parts;
@@ -560,7 +616,7 @@ int main_automated_tests(void) {
     supported_tmpl.resize(res);
     res = llama_chat_builtin_templates(supported_tmpl.data(), supported_tmpl.size());
     std::cout << "Built-in chat templates:\n";
-    for (auto tmpl : supported_tmpl) {
+    for (const auto *tmpl : supported_tmpl) {
         std::cout << "  " << tmpl << "\n";
     }
 
@@ -592,6 +648,7 @@ int main_automated_tests(void) {
     }
 
     std::vector<common_chat_msg> messages;
+    messages.reserve(conversation.size());
     for (const auto & msg : conversation) {
         messages.push_back(simple_msg(msg.role, msg.content));
     }
@@ -622,58 +679,6 @@ int main_automated_tests(void) {
         }
     }
 
-    // TODO: llama_chat_format_single will be deprecated, remove these tests later
-
-    // test llama_chat_format_single for system message
-    std::cout << "\n\n=== llama_chat_format_single (system message) ===\n\n";
-    std::vector<common_chat_msg> chat2;
-    auto sys_msg = simple_msg("system", "You are a helpful assistant");
-
-    auto fmt_sys = [&](std::string tmpl_str) {
-        auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl_str);
-        auto output = common_chat_format_single(tmpls.get(), chat2, sys_msg, false, /* use_jinja= */ false);
-        std::cout << "fmt_sys(" << tmpl_str << ") : " << output << "\n";
-        std::cout << "-------------------------\n";
-        return output;
-    };
-    assert(fmt_sys("chatml") == "<|im_start|>system\nYou are a helpful assistant<|im_end|>\n");
-    assert(fmt_sys("mistral-v1") == " [INST] You are a helpful assistant\n\n");
-    assert(fmt_sys("mistral-v3") == "[INST] You are a helpful assistant\n\n");
-    assert(fmt_sys("mistral-v3-tekken") == "[INST]You are a helpful assistant\n\n");
-    assert(fmt_sys("mistral-v7") == "[SYSTEM_PROMPT] You are a helpful assistant[/SYSTEM_PROMPT]");
-    assert(fmt_sys("llama2") == "[INST] You are a helpful assistant\n");
-    assert(fmt_sys("llama2-sys") == "[INST] <<SYS>>\nYou are a helpful assistant\n<</SYS>>\n\n");
-    assert(fmt_sys("mistral") == "[INST] You are a helpful assistant\n"); // for old pre-v1 templates
-    assert(fmt_sys("gemma")  == ""); // for gemma, system message is merged with user message
-    assert(fmt_sys("llama3") == "<|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant<|eot_id|>");
-    assert(fmt_sys("gigachat") == "<s>You are a helpful assistant<|message_sep|>");
-
-
-    // test llama_chat_format_single for user message
-    std::cout << "\n\n=== llama_chat_format_single (user message) ===\n\n";
-    chat2.push_back(simple_msg("system", "You are a helpful assistant"));
-    chat2.push_back(simple_msg("user", "Hello"));
-    chat2.push_back(simple_msg("assistant", "I am assistant"));
-    auto new_msg = simple_msg("user", "How are you");
-
-    auto fmt_single = [&](const std::string & tmpl_str) {
-        auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl_str.c_str());
-        auto output = common_chat_format_single(tmpls.get(), chat2, new_msg, true, /* use_jinja= */ false);
-        std::cout << "fmt_single(" << tmpl_str << ") : " << output << "\n";
-        std::cout << "-------------------------\n";
-        return output;
-    };
-    assert(fmt_single("chatml") == "\n<|im_start|>user\nHow are you<|im_end|>\n<|im_start|>assistant\n");
-    assert(fmt_single("mistral-v1") == " [INST] How are you [/INST]");
-    assert(fmt_single("mistral-v3") == "[INST] How are you[/INST]");
-    assert(fmt_single("mistral-v3-tekken") == "[INST]How are you[/INST]");
-    assert(fmt_single("mistral-v7") == "[INST] How are you[/INST]");
-    assert(fmt_single("llama2") == "[INST] How are you [/INST]");
-    assert(fmt_single("mistral") == "[INST] How are you [/INST]"); // for old pre-v1 templates
-    assert(fmt_single("gemma")  == "\n<start_of_turn>user\nHow are you<end_of_turn>\n<start_of_turn>model\n");
-    assert(fmt_single("llama3") == "<|start_header_id|>user<|end_header_id|>\n\nHow are you<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n");
-    // assert(fmt_single("gigachat") == "user<|role_sep|>How are you<|message_sep|>available functions<|role_sep|>[]<|message_sep|>assistant<|role_sep|>");
-
     std::cout << "\nOK: All tests passed successfully.\n";
 
     return 0;
diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp
index 4378a8db716..3a6297e1480 100644
--- a/tests/test-chat.cpp
+++ b/tests/test-chat.cpp
@@ -5,18 +5,22 @@
 //
 //    cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
 //
+#include "../src/llama-grammar.h"
+#include "../src/unicode.h"
+#include "chat-auto-parser.h"
 #include "chat.h"
-
+#include "common.h"
+#include "ggml.h"
 #include "log.h"
 
-#include "../src/unicode.h"
-#include "../src/llama-grammar.h"
-
-#include <nlohmann/json.hpp>
-
+#include <algorithm>
+#include <exception>
 #include <fstream>
-#include <iostream>
 #include <functional>
+#include <iostream>
+#include <nlohmann/json.hpp>
+#include <set>
+#include <stdexcept>
 #include <string>
 
 using json = nlohmann::ordered_json;
@@ -33,6 +37,7 @@ static std::ostream & operator<<(std::ostream & os, const common_chat_msg_diff &
     os << "}";
     return os;
 }
+
 // operator<< for vector<common_chat_msg_diff>:
 static std::ostream & operator<<(std::ostream & os, const std::vector<common_chat_msg_diff> & diffs) {
     os << "[\n";
@@ -42,6 +47,7 @@ static std::ostream & operator<<(std::ostream & os, const std::vector<common_cha
     os << "]";
     return os;
 }
+
 static std::ostream & operator<<(std::ostream & os, const common_chat_msg & msg) {
     os << "{ role: " << msg.role << "; ";
     os << "content: " << msg.content << "; ";
@@ -53,7 +59,8 @@ static std::ostream & operator<<(std::ostream & os, const common_chat_msg & msg)
     os << "reasoning_content: " << msg.reasoning_content << "; ";
     os << "tool_calls: [\n";
     for (const auto & tool_call : msg.tool_calls) {
-        os << "  { name: " << tool_call.name << "; arguments: " << tool_call.arguments << "; id: " << tool_call.id << " },\n";
+        os << "  { name: " << tool_call.name << "; arguments: " << tool_call.arguments << "; id: " << tool_call.id
+           << " },\n";
     }
     os << "]";
     os << "}";
@@ -70,29 +77,29 @@ static common_chat_msg normalize(const common_chat_msg & msg) {
         try {
             tool_call.arguments = json::parse(tool_call.arguments).dump();
         } catch (const std::exception &) {
-            // Do nothing
         }
     }
     return normalized;
 }
 
-
-template <>
-bool equals(const common_chat_msg & expected, const common_chat_msg & actual) {
+template <> bool equals(const common_chat_msg & expected, const common_chat_msg & actual) {
     return normalize(expected) == normalize(actual);
 }
 
 template <class T> static void assert_equals(const T & expected, const T & actual) {
     if (!equals(expected, actual)) {
-        std::cerr << "Expected:```\n" << expected << "\n```" << std::endl;
-        std::cerr << "Actual:```\n" << actual << "\n```" << std::endl;
-        std::cerr << std::flush;
+        std::ostringstream oss_expected;
+        oss_expected << expected;
+        std::ostringstream oss_actual;
+        oss_actual << actual;
+        LOG_ERR("Expected: %s\n", oss_expected.str().c_str());
+        LOG_ERR("Actual: %s\n", oss_actual.str().c_str());
+        common_log_flush(common_log_main());
         throw std::runtime_error("Test failed");
     }
 }
 
 static std::string read_file(const std::string & path) {
-    std::cerr << "# Reading: " << path << '\n' << std::flush;
     std::ifstream fs(path, std::ios_base::binary);
     if (!fs.is_open()) {
         fs = std::ifstream("../" + path, std::ios_base::binary);
@@ -118,6 +125,207 @@ static std::unique_ptr<llama_grammar> build_grammar(const std::string & grammar_
         llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0));
 }
 
+// Helper to format a code point as a readable string
+static std::string format_codepoint(uint32_t cp) {
+    if (cp >= 32 && cp < 127) {
+        return std::string("'") + static_cast<char>(cp) + "'";
+    } else if (cp == '\n') {
+        return "'\\n'";
+    } else if (cp == '\r') {
+        return "'\\r'";
+    } else if (cp == '\t') {
+        return "'\\t'";
+    } else {
+        return "U+" + std::to_string(cp);
+    }
+}
+
+// Helper to format expected element from grammar stack
+static std::string format_expected_element(const llama_grammar_rules & /* rules*/, const llama_grammar_element * elem) {
+    if (!elem) {
+        return "<end>";
+    }
+
+    switch (elem->type) {
+        case LLAMA_GRETYPE_END:
+            return "<end of rule>";
+        case LLAMA_GRETYPE_ALT:
+            return "<alternative>";
+        case LLAMA_GRETYPE_RULE_REF:
+            {
+                // Find rule name - just show rule ID for now
+                return "<rule-" + std::to_string(elem->value) + ">";
+            }
+        case LLAMA_GRETYPE_CHAR:
+            {
+                std::string                   result;
+                const llama_grammar_element * pos   = elem;
+                bool                          first = true;
+
+                do {
+                    if (!first) {
+                        result += " | ";
+                    }
+                    first = false;
+
+                    if (pos[1].type == LLAMA_GRETYPE_CHAR_RNG_UPPER) {
+                        // Range like [a-z]
+                        result += "[" + format_codepoint(pos->value) + "-" + format_codepoint(pos[1].value) + "]";
+                        pos += 2;
+                    } else {
+                        result += format_codepoint(pos->value);
+                        pos += 1;
+                    }
+                } while (pos->type == LLAMA_GRETYPE_CHAR_ALT);
+
+                return result;
+            }
+        case LLAMA_GRETYPE_CHAR_NOT:
+            {
+                std::string                   result = "[^";
+                const llama_grammar_element * pos    = elem;
+                bool                          first  = true;
+
+                do {
+                    if (!first) {
+                        result += " ";
+                    }
+                    first = false;
+
+                    if (pos[1].type == LLAMA_GRETYPE_CHAR_RNG_UPPER) {
+                        result += format_codepoint(pos->value) + "-" + format_codepoint(pos[1].value);
+                        pos += 2;
+                    } else {
+                        result += format_codepoint(pos->value);
+                        pos += 1;
+                    }
+                } while (pos->type == LLAMA_GRETYPE_CHAR_ALT);
+
+                return result + "]";
+            }
+        case LLAMA_GRETYPE_CHAR_ANY:
+            return "<any char>";
+        case LLAMA_GRETYPE_TOKEN:
+            return "<token-" + std::to_string(elem->value) + ">";
+        case LLAMA_GRETYPE_TOKEN_NOT:
+            return "<not-token-" + std::to_string(elem->value) + ">";
+        default:
+            return "<unknown>";
+    }
+}
+
+// Get description of what the grammar expects at current position
+static std::string get_expected_description(const llama_grammar_rules & rules, const llama_grammar_stacks & stacks) {
+    if (stacks.empty()) {
+        return "<no valid continuations>";
+    }
+
+    std::string           result;
+    std::set<std::string> seen;
+
+    for (const auto & stack : stacks) {
+        if (stack.empty()) {
+            if (seen.insert("<end>").second) {
+                if (!result.empty()) {
+                    result += " OR ";
+                }
+                result += "<end>";
+            }
+            continue;
+        }
+
+        const llama_grammar_element * elem = stack.back();
+        std::string                   desc = format_expected_element(rules, elem);
+        if (seen.insert(desc).second) {
+            if (!result.empty()) {
+                result += " OR ";
+            }
+            result += desc;
+        }
+    }
+
+    return result;
+}
+
+// Result of a detailed grammar match attempt
+struct grammar_match_result {
+    bool        success            = false;  // Did the string fully match the grammar?
+    size_t      matched_bytes      = 0;      // Bytes successfully matched before failure
+    size_t      matched_codepoints = 0;      // Codepoints successfully matched before failure
+    size_t      total_bytes        = 0;      // Total bytes in input
+    size_t      total_codepoints   = 0;      // Total codepoints in input
+    std::string matched_prefix;              // The portion that was successfully matched
+    std::string failing_char;                // The character that caused failure (if any)
+    std::string expected_description;        // What the grammar expected at failure point
+    bool        incomplete = false;          // True if matched all input but grammar expects more
+};
+
+// Detailed version of match_string that returns failure information
+static grammar_match_result match_string_detailed(const std::string & input, llama_grammar * grammar) {
+    grammar_match_result result;
+    result.total_bytes = input.size();
+
+    const auto cpts         = unicode_cpts_from_utf8(input);
+    result.total_codepoints = cpts.size();
+
+    auto &       stacks_cur = llama_grammar_get_stacks(grammar);
+    const auto & rules      = llama_grammar_get_rules(grammar);
+
+    size_t byte_pos = 0;
+
+    for (size_t i = 0; i < cpts.size(); i++) {
+        const auto & cpt = cpts[i];
+
+        // Get expected before accepting (for error reporting)
+        std::string expected_before = get_expected_description(rules, stacks_cur);
+
+        llama_grammar_accept(grammar, cpt);
+
+        // Calculate byte position for this codepoint
+        size_t cpt_bytes = 0;
+        if (cpt < 0x80) {
+            cpt_bytes = 1;
+        } else if (cpt < 0x800) {
+            cpt_bytes = 2;
+        } else if (cpt < 0x10000) {
+            cpt_bytes = 3;
+        } else {
+            cpt_bytes = 4;
+        }
+
+        if (stacks_cur.empty()) {
+            // Grammar failed to match at this point
+            result.matched_bytes        = byte_pos;
+            result.matched_codepoints   = i;
+            result.matched_prefix       = input.substr(0, byte_pos);
+            result.failing_char         = format_codepoint(cpt);
+            result.expected_description = expected_before;
+            result.incomplete           = false;
+            return result;
+        }
+
+        byte_pos += cpt_bytes;
+    }
+
+    // All input matched - check if grammar is complete
+    result.matched_bytes      = input.size();
+    result.matched_codepoints = cpts.size();
+    result.matched_prefix     = input;
+
+    if (std::any_of(stacks_cur.begin(), stacks_cur.end(), [](const auto & stack) { return stack.empty(); })) {
+        // An empty stack means that the grammar has been completed
+        result.success    = true;
+        result.incomplete = false;
+    } else {
+        // Grammar expects more input
+        result.success              = false;
+        result.incomplete           = true;
+        result.expected_description = get_expected_description(rules, stacks_cur);
+    }
+
+    return result;
+}
+
 // TODO: extract to common helper (copied from test-grammar-integration.cpp)
 static bool match_string(const std::string & input, llama_grammar * grammar) {
     const auto cpts = unicode_cpts_from_utf8(input);
@@ -146,11 +354,13 @@ static std::string renormalize_json(const std::string & json_str) {
         auto json_obj = json::parse(json_str);
         return json_obj.dump();
     } catch (const std::exception & e) {
-        std::cerr << "Failed to parse JSON: " << e.what() << '\n';
-        return json_str;
+        return "";  // ignore parial JSON contents for comparison purposes
     }
 }
-static void assert_msg_equals(const common_chat_msg & expected, const common_chat_msg & actual, bool ignore_whitespace_differences = false) {
+
+static void assert_msg_equals(const common_chat_msg & expected,
+                              const common_chat_msg & actual,
+                              bool                    ignore_whitespace_differences = false) {
     assert_equals(expected.role, actual.role);
     if (ignore_whitespace_differences) {
         assert_equals(string_strip(expected.content), string_strip(actual.content));
@@ -183,7 +393,7 @@ static void assert_msg_equals(const common_chat_msg & expected, const common_cha
     }
 }
 
-common_chat_tool special_function_tool {
+static common_chat_tool special_function_tool{
     /* .name = */ "special_function",
     /* .description = */ "I'm special",
     /* .parameters = */ R"({
@@ -197,7 +407,7 @@ common_chat_tool special_function_tool {
         "required": ["arg1"]
     })",
 };
-common_chat_tool special_function_tool_with_optional_param {
+static common_chat_tool special_function_tool_with_optional_param{
     /* .name = */ "special_function_with_opt",
     /* .description = */ "I'm special but have optional stuff",
     /* .parameters = */ R"({
@@ -215,7 +425,15 @@ common_chat_tool special_function_tool_with_optional_param {
         "required": ["arg1"]
     })",
 };
-common_chat_tool python_tool {
+static common_chat_tool empty_args_tool{
+    /* .name = */ "empty_args",
+    /* .description = */ "A tool that takes no arguments",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {}
+    })",
+};
+static common_chat_tool python_tool{
     /* .name = */ "python",
     /* .description = */ "an ipython interpreter",
     /* .parameters = */ R"({
@@ -229,359 +447,448 @@ common_chat_tool python_tool {
         "required": ["code"]
     })",
 };
-common_chat_tool code_interpreter_tool {
-    /* .name = */ "code_interpreter",
-    /* .description = */ "an ipython interpreter",
+
+static common_chat_tool html_tool{
+    /* .name = */ "html",
+    /* .description = */ "an html validator",
     /* .parameters = */ R"({
         "type": "object",
         "properties": {
-            "code": {
+            "markup": {
                 "type": "string",
-                "description": "Python code to execute."
+                "description": "HTML markup to validate."
             }
         },
-        "required": ["code"]
+        "required": ["markup"]
     })",
 };
-std::vector<common_chat_tool> tools           { special_function_tool, special_function_tool_with_optional_param, python_tool };
-std::vector<common_chat_tool> llama_3_1_tools { special_function_tool, code_interpreter_tool };
 
-struct delta_data {
-    std::string        delta;
-    common_chat_params params;
+static common_chat_tool get_time_tool{
+    /* .name = */ "get_time",
+    /* .description = */ "Get the current time in a city",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "city": {
+                "type": "string",
+                "description": "City name"
+            }
+        },
+        "required": ["city"]
+    })",
 };
 
-static common_chat_msg simple_assist_msg(const std::string & content, const std::string & reasoning_content = "", const std::string & tool_name = "", const std::string & arguments = "", const std::string & id = "") {
-    common_chat_msg msg;
-    msg.role = "assistant";
-    msg.content = content;
-    msg.reasoning_content = reasoning_content;
-    if (!tool_name.empty()) {
-        msg.tool_calls.push_back({ tool_name, arguments, id });
-    }
-    return msg;
-}
+static common_chat_tool get_weather_tool{
+    /* .name = */ "get_weather",
+    /* .description = */ "Get the current weather in a city",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "city": {
+                "type": "string",
+                "description": "City name"
+            }
+        },
+        "required": ["city"]
+    })",
+};
 
-static delta_data init_delta(const struct common_chat_templates * tmpls, const std::vector<std::string> & end_tokens,
-                             const common_chat_msg & user_message,
-                             const common_chat_msg & delta_message,
-                             const std::vector<common_chat_tool> & tools,
-                             const common_chat_tool_choice & tool_choice) {
-    common_chat_templates_inputs inputs;
-    inputs.parallel_tool_calls = true;
-    inputs.messages.push_back(user_message);
-    inputs.tools       = tools;
-    inputs.tool_choice = tool_choice;
-    auto params_prefix = common_chat_templates_apply(tmpls, inputs);
-
-    inputs.messages.push_back(delta_message);
-    inputs.add_generation_prompt = false;
-    auto params_full             = common_chat_templates_apply(tmpls, inputs);
-
-    std::string prefix = params_prefix.prompt;
-    std::string full   = params_full.prompt;
-
-    if (full == prefix) {
-        throw std::runtime_error("Full message is the same as the prefix");
-    }
-
-    size_t common_prefix_length = 0;
-    for (size_t i = 0; i < prefix.size() && i < full.size(); ++i) {
-        if (prefix[i] != full[i]) {
-            break;
-        }
-        if (prefix[i] == '<') {
-            // DeepSeek R1's template (as of 20250209) adds a trailing <think> if add_generation_prompt,
-            // but it removes thinking tags for past messages.
-            // The prefix and full strings diverge at <think> vs. <｜tool▁calls▁begin｜>, we avoid consuming the leading <.
-            continue;
-        }
-        common_prefix_length = i + 1;
-    }
-    auto delta = full.substr(common_prefix_length);
+static common_chat_tool todo_list{
+    /* .name = */ "todo_list",
+    /* .description = */ "Create or update the todo list",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "todos": {
+                "type": "array",
+                "description": "List of TODO list items"
+            }
+        },
+        "required": ["todos"]
+    })",
+};
 
-    // Strip end tokens
-    for (const auto & end_token : end_tokens) {
-        // rfind to find the last occurrence
-        auto pos = delta.rfind(end_token);
-        if (pos != std::string::npos) {
-            delta = delta.substr(0, pos);
-            break;
-        }
-    }
-    return { delta, params_full };
-}
+static common_chat_tool edit_tool{
+    /* .name = */ "edit",
+    /* .description = */ "Edit file",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "filename": {
+                "type": "string",
+                "description": "Path of file to edit"
+            },
+            "oldString": {
+                "type": "string",
+                "description": "String to replace"
+            },
+            "newString": {
+                "type": "string",
+                "description": "New (replacement) value"
+            }
+        },
+        "required": ["filename", "oldString", "newString"]
+    })",
+};
 
-/*
-  Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false,
-  gets the diff, removes any end tokens and parses the result w/ the grammar, checking that
-  the parsed message is the same as the test_message
-*/
-static void test_templates(const struct common_chat_templates * tmpls, const std::vector<std::string> & end_tokens,
-                          const common_chat_msg & test_message,
-                          const std::vector<common_chat_tool> & tools = {},
-                          const std::string & expected_delta = "",
-                          bool expect_grammar_triggered = true,
-                          bool test_grammar_if_triggered = true,
-                          common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE,
-                          bool ignore_whitespace_differences = false
-                        ) {
-    common_chat_msg user_message;
-    user_message.role = "user";
-    user_message.content = "Hello, world!";
-
-    for (const auto & tool_choice : std::vector<common_chat_tool_choice> {COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED}) {
-        auto data = init_delta(tmpls, end_tokens, user_message, test_message, tools, tool_choice);
-        if (!expected_delta.empty()) {
-            if (ignore_whitespace_differences) {
-                assert_equals(string_strip(expected_delta), string_strip(data.delta));
-            } else {
-                assert_equals(expected_delta, data.delta);
+static common_chat_tool magic_tool{
+    /* .name = */ "magic",
+    /* .description = */ "Magic tool that takes a hash",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "name": {
+                "type": "string"
+            },
+            "ref": {
+                "type": "string"
             }
-        }
+        },
+        "required": ["name", "ref"]
+    })",
+};
 
-        if (expect_grammar_triggered) {
-            // TODO @ngxson : refactor common_chat_parse to avoid passing format/reasoning_format every time
-            common_chat_parser_params params;
-            params.format = data.params.format;
-            params.reasoning_format = reasoning_format;
-            const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, params);
-            assert_msg_equals(test_message, msg, ignore_whitespace_differences);
-        }
+static common_chat_tool magic_int_tool{
+    /* .name = */ "magic_int",
+    /* .description = */ "Magic tool that takes a hash",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "ref": {
+                "type": "integer"
+            },
+            "name": {
+                "type": "string"
+            }
+        },
+        "required": ["ref"]
+    })",
+};
 
-        if (!test_message.tool_calls.empty()) {
-            GGML_ASSERT(!data.params.grammar.empty());
-        }
-        if (!data.params.grammar.empty()) {
-            auto grammar = build_grammar(data.params.grammar);
-            if (!grammar) {
-                throw std::runtime_error("Failed to build grammar");
+static common_chat_tool amount_tool{
+    /* .name = */ "amount",
+    /* .description = */ "Amount converter",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "orig": {
+                "type": "number"
             }
-            auto earliest_trigger_pos = std::string::npos;
-            auto constrained = data.delta;
-            for (const auto & trigger : data.params.grammar_triggers) {
-                size_t pos = std::string::npos;
-                std::smatch match;
-                switch (trigger.type) {
-                    case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
-                    {
-                        const auto & word = trigger.value;
-                        pos = constrained.find(word);
-                        break;
-                    }
-                    case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
-                    {
-                        const auto & pattern = trigger.value;
-                        if (std::regex_search(constrained, match, std::regex(pattern))) {
-                            pos = match.position(1);
-                        }
-                        break;
-                    }
-                    case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
-                    {
-                        const auto & pattern = trigger.value;
-                        if (std::regex_match(constrained, match, std::regex(pattern))) {
-                            auto mpos = std::string::npos;
-                            for (size_t i = 1; i < match.size(); ++i) {
-                                if (match[i].length() > 0) {
-                                    mpos = match.position(i);
-                                    break;
-                                }
-                            }
-                            if (mpos == std::string::npos) {
-                                mpos = match.position(0);
-                            }
-                            pos = mpos;
-                        }
-                        break;
+        },
+        "required": ["orig"]
+    })",
+};
+
+static common_chat_tool imaginary_number_tool{
+    /* .name = */ "imaginary_number",
+    /* .description = */ "Imaginary number converter",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "number": {
+                "type": "object",
+                "properties": {
+                    "real": {
+                        "type": "number"
+                    },
+                    "imaginary": {
+                        "type": "number"
                     }
-                    default:
-                        throw std::runtime_error("Unknown trigger type");
-                }
-                if (pos == std::string::npos) {
-                    continue;
-                }
-                if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
-                    earliest_trigger_pos = pos;
-                }
-            }
-            auto grammar_triggered = false;
-            if (earliest_trigger_pos != std::string::npos) {
-                constrained = constrained.substr(earliest_trigger_pos);
-                grammar_triggered = true;
-            }
-            if (data.params.grammar_lazy) {
-                assert_equals(expect_grammar_triggered, grammar_triggered);
+                },
+                "required": ["real", "imaginary"]
             }
+        },
+        "required": ["number"]
+    })",
+};
 
-            if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) {
-                throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta +
-                    "\n\nConstrained: " + constrained +
-                    "\n\nGrammar: " + data.params.grammar);
+static common_chat_tool string_param_tool{
+    /* .name = */ "string_param",
+    /* .description = */ "Tool with string parameter for testing",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "text": {
+                "type": "string",
+                "description": "A text parameter"
             }
-        }
-    }
-}
+        },
+        "required": []
+    })",
+};
 
-/**
- * Test if streaming=true is consistant with streaming=false for given partial parser
- * Also test if there is any problem with partial message
- */
-template <typename T>
-static void test_parser_with_streaming(const common_chat_msg & expected, const std::string & raw_message, T parse_msg) {
-    constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t {
-        auto len = s.size();
-        if (len == 0) return 0;
-        auto i = len;
-        for (size_t back = 0; back < 4 && i > 0; ++back) {
-            --i;
-            unsigned char c = s[i];
-            if ((c & 0x80) == 0) {
-                return len;
-            } else if ((c & 0xC0) == 0xC0) {
-                size_t expected_len = 0;
-                if ((c & 0xE0) == 0xC0) expected_len = 2;
-                else if ((c & 0xF0) == 0xE0) expected_len = 3;
-                else if ((c & 0xF8) == 0xF0) expected_len = 4;
-                else return i;
-                if (len - i >= expected_len) {
-                    return len;
-                } else {
-                    return i;
-                }
+static common_chat_tool quoted_unquoted_tool{
+    /* .name = */ "quoted_unquoted",
+    /* .description = */ "Tool with two string parameters, one for quoted string, one for unquoted",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "quoted": {
+                "type": "string",
+                "description": "Quoted value"
+            },
+            "unquoted": {
+                "type": "string",
+                "description": "Unquoted value"
             }
-        }
-        return len - std::min(len, size_t(3));
-    };
-    constexpr auto utf8_truncate_safe_view = [utf8_truncate_safe_len](const std::string_view s) {
-        return s.substr(0, utf8_truncate_safe_len(s));
-    };
+        },
+        "required": ["quoted", "unquoted"]
+    })",
+};
 
-    auto merged = simple_assist_msg("");
-    auto last_msg = parse_msg("");
-    for (size_t i = 1; i <= raw_message.size(); ++i) {
-        auto curr_msg = parse_msg(std::string(utf8_truncate_safe_view(std::string_view(raw_message).substr(0, i))));
-        if (curr_msg == simple_assist_msg("")) continue;
-        LOG_INF("Streaming msg: %s\n", common_chat_msgs_to_json_oaicompat({curr_msg}).dump().c_str());
-        for (auto diff: common_chat_msg_diff::compute_diffs(last_msg, curr_msg)) {
-            LOG_INF("Streaming diff: %s\n", common_chat_msg_diff_to_json_oaicompat(diff).dump().c_str());
-            if (!diff.reasoning_content_delta.empty()) {
-                merged.reasoning_content += diff.reasoning_content_delta;
-            }
-            if (!diff.content_delta.empty()) {
-                merged.content += diff.content_delta;
-            }
-            if (diff.tool_call_index != std::string::npos) {
-                if (!diff.tool_call_delta.name.empty()) {
-                    merged.tool_calls.push_back({diff.tool_call_delta.name, "", ""});
-                }
-                if (!diff.tool_call_delta.arguments.empty()) {
-                    GGML_ASSERT(!merged.tool_calls.empty());
-                    merged.tool_calls.back().arguments += diff.tool_call_delta.arguments;
-                }
-            }
-            LOG_INF("Streaming merged: %s\n", common_chat_msgs_to_json_oaicompat({merged}).dump().c_str());
-        }
-        assert_msg_equals(curr_msg, merged, true);
-        last_msg = curr_msg;
-    }
-    assert_msg_equals(expected, parse_msg(raw_message), true);
-    assert_msg_equals(expected, merged, true);
-}
 
-const common_chat_msg message_user {
-    "user",
-    "Hey there!",
-    /* .content_parts = */ {},
-    /* .tool_calls = */ {},
-    /* .reasoning_content = */ "",
-    /* .tool_name = */ "",
-    /* .tool_call_id = */ "",
+static common_chat_tool tool_2req_4opt{
+    /* .name = */ "tool_2req_4opt",
+    /* .description = */ "Tool with 2 required and 4 optional params",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "req1": { "type": "string", "description": "Required string" },
+            "req2": { "type": "integer", "description": "Required int" },
+            "opt1": { "type": "string", "description": "Optional string 1" },
+            "opt2": { "type": "integer", "description": "Optional int 1" },
+            "opt3": { "type": "string", "description": "Optional string 2" },
+            "opt4": { "type": "integer", "description": "Optional int 2" }
+        },
+        "required": ["req1", "req2"]
+    })",
 };
 
-const common_chat_msg message_user_parts {
-    "user",
-    /* .content = */ "",
-    /* .content_parts = */ {
-        { "text", "Hey" },
-        { "text", "there" },
-    },
+static common_chat_tool tool_2req_5opt{
+    /* .name = */ "tool_2req_5opt",
+    /* .description = */ "Tool with 2 required and 5 optional params",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "req1": { "type": "string", "description": "Required string" },
+            "req2": { "type": "integer", "description": "Required int" },
+            "opt1": { "type": "string", "description": "Optional string 1" },
+            "opt2": { "type": "integer", "description": "Optional int 1" },
+            "opt3": { "type": "string", "description": "Optional string 2" },
+            "opt4": { "type": "integer", "description": "Optional int 2" },
+            "opt5": { "type": "string", "description": "Optional string 3" }
+        },
+        "required": ["req1", "req2"]
+    })",
+};
+
+static std::vector<common_chat_tool> tools{ special_function_tool, special_function_tool_with_optional_param,
+                                            python_tool, html_tool, todo_list };
+
+const common_chat_msg message_user{
+    "user",
+    "Hey there!",
+    /* .content_parts = */ {},
     /* .tool_calls = */ {},
     /* .reasoning_content = */ "",
     /* .tool_name = */ "",
     /* .tool_call_id = */ "",
 };
 
-const common_chat_msg message_assist                              = simple_assist_msg("Hello, world!\nWhat's up?");
-const common_chat_msg message_assist_empty                        = simple_assist_msg("");
-const common_chat_msg message_assist_thoughts_unparsed_deepseek   = simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?");
-const common_chat_msg message_assist_thoughts_unparsed_md         = simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```");
-const common_chat_msg message_assist_thoughts_unparsed_md_partial = simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}");
-
-const common_chat_msg message_assist_thoughts_unparsed_r7b       = simple_assist_msg("<|START_THINKING|>I'm\nthinking<|END_THINKING|>Hello, world!\nWhat's up?");
-const common_chat_msg message_assist_thoughts_unparsed_magistral = simple_assist_msg("[THINK]raisonnement[/THINK]Réponse");
-const common_chat_msg message_assist_thoughts                    = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking");
-const common_chat_msg message_assist_thoughts_unopened_unparsed  = simple_assist_msg("I'm\nthinking</think>Hello, world!\nWhat's up?");
-const common_chat_msg message_assist_thoughts_no_content         = simple_assist_msg("", "I'm\nthinking");
-const common_chat_msg message_assist_call                        = simple_assist_msg("", "", "special_function", "{\"arg1\": 1}");
-const common_chat_msg message_assist_call_noopt                  = simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1}");
-const common_chat_msg message_assist_call_withopt                = simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1, \"arg2\": 2}");
-const common_chat_msg message_assist_call_content                = simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\":1}");
-const common_chat_msg message_assist_call_empty_args             = simple_assist_msg("", "", "special_function");
-const common_chat_msg message_assist_call_cutoff_args            = simple_assist_msg("", "", "special_function", "{\"arg");
-const common_chat_msg message_assist_call_thoughts               = simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\":1}");
-const common_chat_msg message_assist_call_thoughts_unparsed      = simple_assist_msg("<think>I'm\nthinking</think>\n\n", "", "special_function", "{\"arg1\": 1}");
-const common_chat_msg message_assist_call_thoughts_content       = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}");
-const common_chat_msg message_assist_call_id                     = simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "123456789");
-const common_chat_msg message_assist_call_idx                    = simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "0");
-const common_chat_msg message_assist_thoughts_call_idx           = simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}", /* id = */ "0");
-const common_chat_msg message_assist_call_python                 = simple_assist_msg("", "", "python", "{\"code\":\"print('hey')\"}");
-const common_chat_msg message_assist_call_python_lines           = simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')\"}");
-const common_chat_msg message_assist_call_python_lines_unclosed  = simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')");
-const common_chat_msg message_assist_call_code_interpreter       = simple_assist_msg("", "", "code_interpreter", "{\"code\":\"print('hey')\"}");
+const common_chat_msg message_user_parts{
+    "user",
+    /* .content = */ "",
+    /* .content_parts = */
+    {
+     { "text", "Hey" },
+     { "text", "there" },
+     },
+    /* .tool_calls = */
+    {                 },
+    /* .reasoning_content = */
+    "",
+    /* .tool_name = */ "",
+    /* .tool_call_id = */ "",
+};
+
+static common_chat_msg simple_assist_msg(const std::string & content,
+                                         const std::string & reasoning_content = "",
+                                         const std::string & tool_name         = "",
+                                         const std::string & arguments         = "",
+                                         const std::string & id                = "") {
+    common_chat_msg msg;
+    msg.role              = "assistant";
+    msg.content           = content;
+    msg.reasoning_content = reasoning_content;
+    if (!tool_name.empty() || !id.empty()) {
+        msg.tool_calls.push_back({ tool_name, arguments, id });
+    }
+    return msg;
+}
+
+static common_chat_msg message_with_tool_calls(const std::string & tool_name, const std::string & arguments) {
+    return simple_assist_msg("", "", tool_name, arguments);
+}
+
+static common_chat_msg message_with_tool_calls_and_reasoning(const std::string & tool_name,
+                                                             const std::string & arguments,
+                                                             const std::string & reasoning) {
+    return simple_assist_msg("", reasoning, tool_name, arguments);
+}
+
+static common_chat_msg message_with_reasoning_content_and_multiple_tool_calls(
+    const std::string &                                      reasoning,
+    const std::string &                                      content,
+    const std::vector<std::pair<std::string, std::string>> & tool_calls) {
+    common_chat_msg msg;
+    msg.role              = "assistant";
+    msg.content           = content;
+    msg.reasoning_content = reasoning;
+    for (const auto & [name, args] : tool_calls) {
+        msg.tool_calls.push_back({ name, args, "" });
+    }
+    return msg;
+}
+
+static common_chat_msg message_with_content_and_tool_call(const std::string & content,
+                                                          const std::string & tool_name,
+                                                          const std::string & arguments) {
+    return simple_assist_msg(content, "", tool_name, arguments);
+}
+
+static common_chat_msg message_with_reasoning_and_tool_call(const std::string & reasoning,
+                                                            const std::string & tool_name,
+                                                            const std::string & arguments) {
+    return simple_assist_msg("", reasoning, tool_name, arguments);
+}
+
+const common_chat_msg message_assist       = simple_assist_msg("Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_empty = simple_assist_msg("");
+const common_chat_msg message_assist_thoughts_unparsed_deepseek =
+    simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_thoughts_unparsed_md =
+    simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```");
+const common_chat_msg message_assist_thoughts_unparsed_md_partial =
+    simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}");
+
+const common_chat_msg message_assist_thoughts_unparsed_r7b =
+    simple_assist_msg("<|START_THINKING|>I'm\nthinking<|END_THINKING|>Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_thoughts_unparsed_magistral =
+    simple_assist_msg("[THINK]raisonnement[/THINK]Réponse");
+const common_chat_msg message_assist_thoughts = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking");
+const common_chat_msg message_assist_thoughts_unopened_unparsed =
+    simple_assist_msg("I'm\nthinking</think>Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_thoughts_no_content = simple_assist_msg("", "I'm\nthinking");
+const common_chat_msg message_assist_call = simple_assist_msg("", "", "special_function", "{\"arg1\": 1}");
+const common_chat_msg message_assist_call_noopt =
+    simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1}");
+const common_chat_msg message_assist_call_withopt =
+    simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1, \"arg2\": 2}");
+const common_chat_msg message_assist_call_content =
+    simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\":1}");
+const common_chat_msg message_assist_call_empty_args  = simple_assist_msg("", "", "special_function");
+const common_chat_msg message_assist_call_cutoff_args = simple_assist_msg("", "", "special_function", "{\"arg");
+const common_chat_msg message_assist_call_thoughts =
+    simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\":1}");
+const common_chat_msg message_assist_call_thoughts_unparsed =
+    simple_assist_msg("<think>I'm\nthinking</think>\n\n", "", "special_function", "{\"arg1\": 1}");
+const common_chat_msg message_assist_call_thoughts_content =
+    simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}");
+const common_chat_msg message_assist_call_id =
+    simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "123456789");
+const common_chat_msg message_assist_call_idx =
+    simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "0");
+const common_chat_msg message_assist_thoughts_call_idx =
+    simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}", /* id = */ "0");
+const common_chat_msg message_assist_thoughts_partial_call =
+    simple_assist_msg("", "I'm\nthinking", "special_function", "", /* id = */ "0");
+const common_chat_msg message_assist_call_python = simple_assist_msg("", "", "python", "{\"code\":\"print('hey')\"}");
+const common_chat_msg message_assist_call_python_lines =
+    simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')\"}");
+const common_chat_msg message_assist_call_python_lines_unclosed =
+    simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')");
+const common_chat_msg message_assist_json_content =
+    simple_assist_msg("{\n  \"response\": \"Hello, world!\\nWhat's up?\"\n}");
 
 // Use for PEG parser implementations
 struct peg_test_case {
     common_chat_templates_inputs params;
-    std::string input;
-    common_chat_msg expect;
+    std::string                  input;
+    common_chat_msg              expect;
+    bool                         is_partial = false;
 };
 
 struct make_peg_parser {
     common_chat_params params_;
-    common_peg_arena arena_;
-
-    make_peg_parser(common_chat_templates * tmpls, const common_chat_templates_inputs & inputs) {
-        params_ = common_chat_templates_apply(tmpls, inputs);
+    common_peg_arena   arena_;
+    bool               detailed_debug_;
+
+    make_peg_parser(common_chat_templates *              tmpls,
+                    const common_chat_templates_inputs & inputs,
+                    bool                                 detailed_debug = false) {
+        detailed_debug_ = detailed_debug;
+        params_         = common_chat_templates_apply(tmpls, inputs);
         arena_.load(params_.parser);
     }
 
-    common_chat_msg parse(const std::string & msg, bool is_partial) {
+    common_chat_msg parse(const std::string & msg, bool is_partial) const {
         common_chat_parser_params parser_params;
         parser_params.format = params_.format;
+        parser_params.debug = detailed_debug_;
         return common_chat_peg_parse(arena_, msg, is_partial, parser_params);
     }
 };
 
-static void test_peg_parser(common_chat_templates * tmpls, const std::function<void(peg_test_case &)> & init) {
+static void test_peg_parser(common_chat_templates *                      tmpls,
+                            const std::function<void(peg_test_case &)> & init,
+                            bool                                         detailed_debug) {
+    // UTF-8-safe truncation helper (same as in test_parser_with_streaming)
+    constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t {
+        auto len = s.size();
+        if (len == 0) {
+            return 0;
+        }
+        auto i = len;
+        for (size_t back = 0; back < 4 && i > 0; ++back) {
+            --i;
+            unsigned char c = s[i];
+            if ((c & 0x80) == 0) {
+                return len;
+            }
+            if ((c & 0xC0) == 0xC0) {
+                size_t expected_len = 0;
+                if ((c & 0xE0) == 0xC0) {
+                    expected_len = 2;
+                } else if ((c & 0xF0) == 0xE0) {
+                    expected_len = 3;
+                } else if ((c & 0xF8) == 0xF0) {
+                    expected_len = 4;
+                } else {
+                    return i;
+                }
+                if (len - i >= expected_len) {
+                    return len;
+                }
+                return i;
+            }
+        }
+        return len - std::min(len, size_t(3));
+    };
+
     peg_test_case tc;
     init(tc);
     if (tc.params.messages.empty()) {
-        tc.params.messages = {message_user};
+        tc.params.messages = { message_user };
     }
     if (tc.expect.role.empty()) {
         tc.expect.role = "assistant";
     }
 
-    auto parser = make_peg_parser(tmpls, tc.params);
+    auto parser = make_peg_parser(tmpls, tc.params, detailed_debug);
+    if (detailed_debug) {
+        LOG_DBG("Using parser: \n%s\n", parser.arena_.dump(parser.arena_.root()).c_str());
+    }
 
     common_chat_msg msg_accum;
     common_chat_msg msg_prev;
     msg_accum.role = msg_prev.role = "assistant";
 
     for (size_t i = 1; i <= tc.input.size(); ++i) {
-        auto is_partial = i < tc.input.size();
-        common_chat_msg msg_current = parser.parse(tc.input.substr(0, i), is_partial);
+        auto            is_partial  = i < tc.input.size() || tc.is_partial;
+        // Use UTF-8 safe truncation to avoid corrupting multi-byte characters
+        size_t          safe_len    = utf8_truncate_safe_len(std::string_view(tc.input).substr(0, i));
+        std::string     prefix      = tc.input.substr(0, safe_len);
+        common_chat_msg msg_current = parser.parse(prefix, is_partial);
 
         for (const auto & diff : common_chat_msg_diff::compute_diffs(msg_prev, msg_current)) {
             if (!diff.reasoning_content_delta.empty()) {
@@ -591,24 +898,245 @@ static void test_peg_parser(common_chat_templates * tmpls, const std::function<v
                 msg_accum.content += diff.content_delta;
             }
             if (diff.tool_call_index != std::string::npos) {
+                // During partial parsing, a new tool call may appear with empty name initially
+                // The name gets filled in as more input is parsed
+                while (msg_accum.tool_calls.size() <= diff.tool_call_index) {
+                    msg_accum.tool_calls.push_back({ "", "", "" });
+                }
+                // Always update name and id from diff (may change during incremental parsing), but only if the delta
+                // actually contains them
                 if (!diff.tool_call_delta.name.empty()) {
-                    msg_accum.tool_calls.push_back({diff.tool_call_delta.name, "", diff.tool_call_delta.id});
+                    msg_accum.tool_calls[diff.tool_call_index].name = diff.tool_call_delta.name;
+                }
+                if (!diff.tool_call_delta.id.empty()) {
+                    msg_accum.tool_calls[diff.tool_call_index].id = diff.tool_call_delta.id;
                 }
                 if (!diff.tool_call_delta.arguments.empty()) {
-                    msg_accum.tool_calls.back().arguments += diff.tool_call_delta.arguments;
+                    msg_accum.tool_calls[diff.tool_call_index].arguments += diff.tool_call_delta.arguments;
                 }
             }
         }
-        assert_msg_equals(msg_current, msg_accum, true);
+        try {
+            assert_msg_equals(msg_current, msg_accum, true);
+        } catch (std::exception & e) {
+            throw std::runtime_error((std::string("Error comparing accumulated message to current: ") + e.what()).c_str());
+        }
+
         msg_prev = msg_current;
     }
 
-    assert_msg_equals(tc.expect, parser.parse(tc.input, false), true);
+    if (!tc.is_partial) {
+        assert_msg_equals(tc.expect, parser.parse(tc.input, false), true);
+    }
     assert_msg_equals(tc.expect, msg_accum, true);
+
+    // Test grammar if present in params
+    if (!parser.params_.grammar.empty()) {
+        auto grammar = build_grammar(parser.params_.grammar);
+        if (!grammar) {
+            throw std::runtime_error("Failed to build grammar: " + parser.params_.grammar);
+        }
+
+        // Find the earliest trigger position to determine the constrained portion
+        auto earliest_trigger_pos = std::string::npos;
+        for (const auto & trigger : parser.params_.grammar_triggers) {
+            size_t      pos = std::string::npos;
+            std::smatch match;
+            switch (trigger.type) {
+                case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
+                    {
+                        const auto & word = trigger.value;
+                        pos               = tc.input.find(word);
+                        break;
+                    }
+                case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
+                    {
+                        const auto & pattern = std::regex(trigger.value);
+                        if (std::regex_search(tc.input, match, pattern)) {
+                            pos = match.position(pattern.mark_count());
+                        }
+                        break;
+                    }
+                case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
+                    {
+                        const auto & pattern = trigger.value;
+                        if (std::regex_match(tc.input, match, std::regex(pattern))) {
+                            auto mpos = std::string::npos;
+                            for (size_t i = 1; i < match.size(); ++i) {
+                                if (match[i].length() > 0) {
+                                    mpos = match.position(i);
+                                    break;
+                                }
+                            }
+                            if (mpos == std::string::npos) {
+                                mpos = match.position(0);
+                            }
+                            pos = mpos;
+                        }
+                        break;
+                    }
+                default:
+                    throw std::runtime_error("Unknown trigger type");
+            }
+            if (pos != std::string::npos) {
+                if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
+                    earliest_trigger_pos = pos;
+                }
+            }
+        }
+
+        // Determine the constrained portion of input to test against grammar
+        std::string constrained = tc.input;
+        bool grammar_triggered = false;
+        if (earliest_trigger_pos != std::string::npos) {
+            constrained = tc.input.substr(earliest_trigger_pos);
+            grammar_triggered = true;
+        } else if (!parser.params_.grammar_lazy) {
+            // For non-lazy grammars, the entire input should match
+            grammar_triggered = true;
+        }
+
+        // Test the constrained portion against the grammar
+        if (grammar_triggered && !tc.is_partial) {
+            auto result = match_string_detailed(constrained, grammar.get());
+            if (!result.success) {
+                std::string error_msg;
+                if (result.incomplete) {
+                    error_msg =
+                        "Grammar matched all input but expects more:\n\n"
+                        ">>> Input: " + tc.input +
+                        "\n\n>>> Constrained: " + constrained +
+                        "\n\n>>> Matched prefix (" + std::to_string(result.matched_bytes) + " bytes, " +
+                        std::to_string(result.matched_codepoints) + " codepoints): " +
+                        (result.matched_prefix.size() > 100 ? result.matched_prefix.substr(0, 100) + "..." : result.matched_prefix) +
+                        "\n\n>>> Expected next: " + result.expected_description +
+                        "\n\n>>> Grammar: " + parser.params_.grammar;
+                } else {
+                    error_msg =
+                        "Grammar match failed:\n\n"
+                        ">>> Input: " + tc.input +
+                        "\n\n>>> Constrained: " + constrained +
+                        "\n\n>>> Matched prefix (" + std::to_string(result.matched_bytes) + " bytes, " +
+                        std::to_string(result.matched_codepoints) + " codepoints): " +
+                        (result.matched_prefix.size() > 100 ? result.matched_prefix.substr(0, 100) + "..." : result.matched_prefix) +
+                        "\n\n>>> Failing character: " + result.failing_char +
+                        "\n\n>>> Expected: " + result.expected_description +
+                        "\n\n>>> Grammar: " + parser.params_.grammar;
+                }
+                throw std::runtime_error(error_msg);
+            }
+        }
+    }
+}
+
+// Global template filter for --template flag
+static std::string g_template_filter;
+
+// Fluent builder for PEG parser tests
+class peg_test_builder;
+
+class peg_tester {
+    common_chat_templates_ptr tmpls_;
+    std::string               template_path_;
+    bool                      detailed_debug_;
+    friend class peg_test_builder;
+
+  public:
+    explicit peg_tester(const std::string & template_path, const bool detailed_debug = false) :
+        tmpls_(read_templates(template_path)),
+        template_path_(template_path),
+        detailed_debug_(detailed_debug) {}
+
+    const std::string & template_path() const { return template_path_; }
+
+    peg_test_builder test(const std::string & input);
+};
+
+class peg_test_builder {
+    peg_tester &  tester_;
+    peg_test_case tc_;
+
+  public:
+    peg_test_builder(peg_tester & tester, const std::string & input) : tester_(tester) { tc_.input = input; }
+
+    // Parameter setters
+    peg_test_builder & reasoning_format(common_reasoning_format fmt) {
+        tc_.params.reasoning_format = fmt;
+        return *this;
+    }
+
+    peg_test_builder & tools(std::vector<common_chat_tool> tools) {
+        tc_.params.tools = std::move(tools);
+        return *this;
+    }
+
+    peg_test_builder & enable_thinking(bool val) {
+        tc_.params.enable_thinking = val;
+        return *this;
+    }
+
+    peg_test_builder & parallel_tool_calls(bool val) {
+        tc_.params.parallel_tool_calls = val;
+        return *this;
+    }
+
+    peg_test_builder & json_schema(const std::string & schema) {
+        tc_.params.json_schema = schema;
+        return *this;
+    }
+
+    peg_test_builder & is_partial(bool val) {
+        tc_.is_partial = val;
+        return *this;
+    }
+
+    // Expect setters
+    peg_test_builder & expect(const common_chat_msg & msg) {
+        tc_.expect = msg;
+        return *this;
+    }
+
+    peg_test_builder & expect_content(const std::string & content) {
+        tc_.expect.content = content;
+        return *this;
+    }
+
+    peg_test_builder & expect_reasoning(const std::string & reasoning) {
+        tc_.expect.reasoning_content = reasoning;
+        return *this;
+    }
+
+    peg_test_builder & expect_tool_calls(std::vector<common_chat_tool_call> calls) {
+        tc_.expect.tool_calls = std::move(calls);
+        return *this;
+    }
+
+    // Execute the test
+    void run() {
+        // Check template filter
+        if (!g_template_filter.empty()) {
+            // Case-insensitive substring match
+            std::string template_path_lower = tester_.template_path();
+            std::string filter_lower        = g_template_filter;
+            std::transform(template_path_lower.begin(), template_path_lower.end(), template_path_lower.begin(),
+                           ::tolower);
+            std::transform(filter_lower.begin(), filter_lower.end(), filter_lower.begin(), ::tolower);
+            if (template_path_lower.find(filter_lower) == std::string::npos) {
+                // Skip this test
+                return;
+            }
+        }
+        LOG_INF("\n\x1b[38;5;126m[%s]\x1b[0m\n%s\n\n", tester_.template_path().c_str(), tc_.input.c_str());
+        test_peg_parser(tester_.tmpls_.get(), [this](peg_test_case & t) { t = tc_; }, tester_.detailed_debug_);
+    }
+};
+
+peg_test_builder peg_tester::test(const std::string & input) {
+    return peg_test_builder(*this, input);
 }
 
 static void test_msgs_oaicompat_json_conversion() {
-    printf("[%s]\n", __func__);
+    LOG_DBG("%s\n", __func__);
     std::vector<common_chat_msg> msgs{
         message_user,
         message_user_parts,
@@ -619,54 +1147,48 @@ static void test_msgs_oaicompat_json_conversion() {
         message_assist_call_id,
         message_assist_call_idx,
         message_assist_call_python,
-        message_assist_call_code_interpreter,
     };
     for (const auto & msg : msgs) {
-        auto oai_json = common_chat_msgs_to_json_oaicompat({msg});
-        auto msgs2 = common_chat_msgs_parse_oaicompat(oai_json);
+        auto oai_json = common_chat_msgs_to_json_oaicompat({ msg });
+        auto msgs2    = common_chat_msgs_parse_oaicompat(oai_json);
         assert_equals((size_t) 1, msgs2.size());
-        auto msg2 = msgs2[0];
+        const auto & msg2 = msgs2[0];
         assert_msg_equals(msg, msg2);
     }
-    assert_equals(
-        std::string(
-            "[\n"
-            "  {\n"
-            "    \"role\": \"user\",\n"
-            "    \"content\": [\n"
-            "      {\n"
-            "        \"type\": \"text\",\n"
-            "        \"text\": \"Hey\"\n"
-            "      },\n"
-            "      {\n"
-            "        \"type\": \"text\",\n"
-            "        \"text\": \"there\"\n"
-            "      }\n"
-            "    ]\n"
-            "  }\n"
-            "]"
-        ),
-        common_chat_msgs_to_json_oaicompat({message_user_parts}).dump(2));
-
-    assert_equals(
-        std::string(
-            "[\n"
-            "  {\n"
-            "    \"role\": \"assistant\",\n"
-            "    \"content\": \"\",\n"
-            "    \"tool_calls\": [\n"
-            "      {\n"
-            "        \"type\": \"function\",\n"
-            "        \"function\": {\n"
-            "          \"name\": \"python\",\n"
-            "          \"arguments\": \"{\\\"code\\\":\\\"print('hey')\\\"}\"\n"
-            "        }\n"
-            "      }\n"
-            "    ]\n"
-            "  }\n"
-            "]"
-        ),
-        common_chat_msgs_to_json_oaicompat({message_assist_call_python}).dump(2));
+    assert_equals(std::string("[\n"
+                              "  {\n"
+                              "    \"role\": \"user\",\n"
+                              "    \"content\": [\n"
+                              "      {\n"
+                              "        \"type\": \"text\",\n"
+                              "        \"text\": \"Hey\"\n"
+                              "      },\n"
+                              "      {\n"
+                              "        \"type\": \"text\",\n"
+                              "        \"text\": \"there\"\n"
+                              "      }\n"
+                              "    ]\n"
+                              "  }\n"
+                              "]"),
+                  common_chat_msgs_to_json_oaicompat({ message_user_parts }).dump(2));
+
+    // Note: content is "" instead of null due to workaround for templates that render null as "None"
+    assert_equals(std::string("[\n"
+                              "  {\n"
+                              "    \"role\": \"assistant\",\n"
+                              "    \"content\": \"\",\n"
+                              "    \"tool_calls\": [\n"
+                              "      {\n"
+                              "        \"type\": \"function\",\n"
+                              "        \"function\": {\n"
+                              "          \"name\": \"python\",\n"
+                              "          \"arguments\": \"{\\\"code\\\":\\\"print('hey')\\\"}\"\n"
+                              "        }\n"
+                              "      }\n"
+                              "    ]\n"
+                              "  }\n"
+                              "]"),
+                  common_chat_msgs_to_json_oaicompat({ message_assist_call_python }).dump(2));
 
     auto res = common_chat_msgs_parse_oaicompat(json::parse("[{\"role\": \"assistant\", \"tool_calls\": []}]"));
     assert_equals<size_t>(1, res.size());
@@ -685,16 +1207,15 @@ static void test_msgs_oaicompat_json_conversion() {
 }
 
 static void test_tools_oaicompat_json_conversion() {
-    printf("[%s]\n", __func__);
+    LOG_DBG("%s\n", __func__);
     std::vector<common_chat_tool> tools{
         special_function_tool,
         python_tool,
-        code_interpreter_tool,
     };
 
     for (const auto & tool : tools) {
-        auto oai_json = common_chat_tools_to_json_oaicompat({tool});
-        auto tools2 = common_chat_tools_parse_oaicompat(oai_json);
+        auto oai_json = common_chat_tools_to_json_oaicompat({ tool });
+        auto tools2   = common_chat_tools_parse_oaicompat(oai_json);
         assert_equals((size_t) 1, tools2.size());
         auto tool2 = tools2[0];
         assert_equals(tool.name, tool2.name);
@@ -702,3235 +1223,1626 @@ static void test_tools_oaicompat_json_conversion() {
         assert_equals(json::parse(tool.parameters).dump(2), json::parse(tool2.parameters).dump(2));
     }
 
-    assert_equals(
-        std::string(
-            "[\n"
-            "  {\n"
-            "    \"type\": \"function\",\n"
-            "    \"function\": {\n"
-            "      \"name\": \"special_function\",\n"
-            "      \"description\": \"I'm special\",\n"
-            "      \"parameters\": {\n"
-            "        \"type\": \"object\",\n"
-            "        \"properties\": {\n"
-            "          \"arg1\": {\n"
-            "            \"type\": \"integer\",\n"
-            "            \"description\": \"The arg.\"\n"
-            "          }\n"
-            "        },\n"
-            "        \"required\": [\n"
-            "          \"arg1\"\n"
-            "        ]\n"
-            "      }\n"
-            "    }\n"
-            "  }\n"
-            "]"
-        ),
-        common_chat_tools_to_json_oaicompat({special_function_tool}).dump(2));
+    assert_equals(std::string("[\n"
+                              "  {\n"
+                              "    \"type\": \"function\",\n"
+                              "    \"function\": {\n"
+                              "      \"name\": \"special_function\",\n"
+                              "      \"description\": \"I'm special\",\n"
+                              "      \"parameters\": {\n"
+                              "        \"type\": \"object\",\n"
+                              "        \"properties\": {\n"
+                              "          \"arg1\": {\n"
+                              "            \"type\": \"integer\",\n"
+                              "            \"description\": \"The arg.\"\n"
+                              "          }\n"
+                              "        },\n"
+                              "        \"required\": [\n"
+                              "          \"arg1\"\n"
+                              "        ]\n"
+                              "      }\n"
+                              "    }\n"
+                              "  }\n"
+                              "]"),
+                  common_chat_tools_to_json_oaicompat({ special_function_tool }).dump(2));
+}
+
+static void test_template_output_peg_parsers(bool detailed_debug) {
+    LOG_DBG("%s\n", __func__);
+
+    // JSON schemas
+    const char * invoice_schema = R"({
+        "type": "object",
+        "properties": {
+            "amount": {"type": "number"},
+            "date": {"type": "string"}
+        }
+    })";
 
     {
-        auto tools_no_params = common_chat_tools_parse_oaicompat(json::parse(
-            R"([{"type": "function", "function": {"name": "test_func", "description": "A test"}}])"));
-        assert_equals((size_t) 1, tools_no_params.size());
-        assert_equals(std::string("test_func"), tools_no_params[0].name);
-        assert_equals(std::string("A test"), tools_no_params[0].description);
-        assert_equals(std::string("{}"), tools_no_params[0].parameters);
+        // Ministral-3-14B-Reasoning-2512
+        auto tst = peg_tester("models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja", detailed_debug);
+
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+            .expect_content("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+            .run();
+
+        tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+               "[THINK]I'm\nthinking[/THINK]"
+               R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})"
+                 R"([TOOL_CALLS]special_function_with_opt[ARGS]{"arg1": 1, "arg2": 2})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        tst.test(
+               "[THINK]I need to output the invoice details in JSON[/THINK]"
+               "```json\n"
+               R"({"amount": 123.45, "date": "2025-12-03"})"
+               "\n```")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .json_schema(invoice_schema)
+            .expect_reasoning("I need to output the invoice details in JSON")
+            .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
+            .run();
     }
+
     {
-        auto tools_no_desc = common_chat_tools_parse_oaicompat(json::parse(
-            R"([{"type": "function", "function": {"name": "test_func", "parameters": {"type": "object"}}}])"));
-        assert_equals((size_t) 1, tools_no_desc.size());
-        assert_equals(std::string("test_func"), tools_no_desc[0].name);
-        assert_equals(std::string(""), tools_no_desc[0].description);
+        // NVIDIA Nemotron-3 Nano
+        auto tst = peg_tester("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja", detailed_debug);
+
+        tst.test("Hello, world!\nWhat's up?").enable_thinking(false).expect(message_assist).run();
+
+        tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_NONE)
+            .expect_content("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .run();
+
+        tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+               "I'm\nthinking\n</think>\n"
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n"
+               "<tool_call>\n"
+               "<function=special_function_with_opt>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "<parameter=arg2>\n2\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Hello, world!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                python_tool
+        })
+            .expect_tool_calls({
+                { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
+            })
+            .run();
+
+        tst.test(
+               "I need to output the invoice details in JSON\n"
+               "</think>\n"
+               R"({"amount": 123.45, "date": "2025-12-03"})")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .json_schema(invoice_schema)
+            .expect_reasoning("I need to output the invoice details in JSON")
+            .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
+            .run();
     }
+
     {
-        auto tools_minimal = common_chat_tools_parse_oaicompat(json::parse(
-            R"([{"type": "function", "function": {"name": "test_func"}}])"));
-        assert_equals((size_t) 1, tools_minimal.size());
-        assert_equals(std::string("test_func"), tools_minimal[0].name);
-        assert_equals(std::string(""), tools_minimal[0].description);
-        assert_equals(std::string("{}"), tools_minimal[0].parameters);
+        // CohereForAI Command-R 7B (2024-tool_use)
+        auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", detailed_debug);
+
+        tst.test("<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>").expect(message_assist).run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>")
+            .expect(message_assist_thoughts_unparsed_r7b)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_ACTION|>[\n"
+               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
+               "]<|END_ACTION|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_thoughts_call_idx)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_ACTION|>[\n"
+               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", ")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .is_partial(true)
+            .expect(message_assist_thoughts_partial_call)
+            .run();
+
+        tst.test(
+               "<|START_THINKING|><|END_THINKING|>"
+               "<|START_ACTION|>[\n"
+               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
+               "]<|END_ACTION|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_idx)
+            .run();
     }
-}
 
-// for compat; ref: https://github.com/ggml-org/llama.cpp/pull/18961
-struct test_parser_params {
-    common_chat_format       format                = COMMON_CHAT_FORMAT_CONTENT_ONLY;
-    common_reasoning_format  reasoning_format      = COMMON_REASONING_FORMAT_NONE;
-    bool                     reasoning_in_content  = false;
-    bool                     thinking_forced_open  = false;
-    bool                     parse_tool_calls      = true;
-};
-
-static common_chat_msg test_chat_parse(const std::string & input, bool is_partial, const test_parser_params & syntax) {
-    common_chat_parser_params params;
-    params.format               = syntax.format;
-    params.reasoning_format     = syntax.reasoning_format;
-    params.reasoning_in_content = syntax.reasoning_in_content;
-    params.thinking_forced_open = syntax.thinking_forced_open;
-    params.parse_tool_calls     = syntax.parse_tool_calls;
-    return common_chat_parse(input, is_partial, params);
-}
+    {
+        // Google Gemma 2 2B - does not support tool calling
+        auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja");
 
-static void test_template_output_parsers() {
-    printf("[%s]\n", __func__);
+        tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run();
 
-    common_chat_templates_inputs inputs_no_tools;
-    inputs_no_tools.messages                = {message_user};
+        tst.test("Line 1\nLine 2\nLine 3").expect(simple_assist_msg("Line 1\nLine 2\nLine 3")).run();
+    }
 
-    common_chat_templates_inputs inputs_tools;
-    inputs_tools.messages                   = {message_user};
-    inputs_tools.tools                      = {special_function_tool};
+    {
+        // Qwen-QwQ-32B (reasoning model)
+        auto tst = peg_tester("models/templates/Qwen-QwQ-32B.jinja");
 
-    common_chat_templates_inputs inputs_tools_builtin;
-    inputs_tools_builtin.messages           = {message_user};
-    inputs_tools_builtin.tools              = {python_tool};
+        // QwQ always has thinking forced open - input starts after the <think>\n in the prompt
+        tst.test("Let me think about this...\n</think>\nThe answer is 42.")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(simple_assist_msg("The answer is 42.", "Let me think about this..."))
+            .run();
 
+        tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run();
+    }
     {
-        // Not supported yet
-        auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja");
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        // NousResearch-Hermes-2-Pro and Hermes-3 (tool calling models)
+        auto tst = peg_tester("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja", detailed_debug);
+
+        tst.test(
+               "<tool_call>\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "</tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+               "Hello, world!\nWhat's up?<tool_call>\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "</tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call_content)
+            .run();
+
+        // Note: Hermes template doesn't support thinking/reasoning natively
+        // Note: We only support one tool calling format per template, no alternate formats
     }
     {
-        auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja");
-        std::vector<std::string>   end_tokens{ "<|END_OF_TURN_TOKEN|>" };
+        // Test simple content-only template
+        auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja", detailed_debug);
 
-        for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
-            auto params = common_chat_templates_apply(tmpls.get(), inputs);
-            assert_equals(COMMON_CHAT_FORMAT_COMMAND_R7B, params.format);
-            assert_equals(false, params.thinking_forced_open);
-        }
-
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_COMMAND_R7B}));
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_COMMAND_R7B}));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
-            test_chat_parse(
-                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ true,
-                    /* .thinking_forced_open = */ false,
-                }));
-        assert_msg_equals(message_assist_thoughts_unparsed_r7b,
-            test_chat_parse(
-                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_COMMAND_R7B}));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts_call_idx,
-            test_chat_parse(
-                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-                "<|START_ACTION|>[\n"
-                "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
-                "]<|END_ACTION|>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts_no_content,
-            test_chat_parse(
-                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
-                "<|START_ACTION|>[\n"
-                "    {\"tool_call_id\": \"0\", \"tool_name\": \"special",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        test_templates(tmpls.get(), end_tokens, message_assist_call_idx, tools,
-                      "<|START_THINKING|><|END_THINKING|>"
-                      "<|START_ACTION|>[\n"
-                      "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
-                      "]<|END_ACTION|>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      COMMON_REASONING_FORMAT_DEEPSEEK);
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "<|START_RESPONSE|>Hello, world!\n"
-                      "What's up?<|END_RESPONSE|>",
-                      /* expect_grammar_triggered= */ false);
-    }
-    // TODO @ngxson : generic tool calls is too costly to maintain, consider removing it in the future
-    {
-        auto tmpls = read_templates("models/templates/google-gemma-2-2b-it.jinja");
-        std::vector<std::string>   end_tokens{ "<end_of_turn>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_GENERIC,
-                      common_chat_templates_apply(
-                          read_templates("models/templates/microsoft-Phi-3.5-mini-instruct.jinja").get(),
-                          inputs_tools)
-                          .format);
-
-        // Generic tool calls doesn't generate / parse content-only messages symmetrically.
-
-        assert_equals(
-            simple_assist_msg("{ \"tool_call\" : { \"name\" : \"t"),
-            test_chat_parse(
-                "{ \"tool_call\" : { \"name\" : \"t",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GENERIC,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                    /* .parse_tool_calls = */ false,
-                }));
-        assert_equals(
-            message_assist_empty,
-            test_chat_parse(
-                "{ \"tool_call\" : { \"name\" : \"t",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GENERIC}));
-
-        assert_equals(
-            simple_assist_msg("", "", "puppeteer_screenshot", "{\"name\":\"servethehome_homepage\","),
-            test_chat_parse(
-                R"({"tool_call": {"name": "puppeteer_screenshot", "arguments": {"name": "servethehome_homepage",)",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GENERIC}));
-
-        assert_equals(
-            message_assist_call_empty_args,
-            test_chat_parse(
-                "{ \"tool_call\" : { \"name\" : \"special_function\"",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GENERIC}));
-        assert_equals(
-            message_assist_call_cutoff_args,
-            test_chat_parse(
-                "{ \"tool_call\" : { \"name\" : \"special_function\", \"arguments\" : { \"arg",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GENERIC}));
-
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "{\n"
-                "  \"response\": \"Hello, world!\\nWhat's up?\"\n"
-                "}",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GENERIC}));
-#if 0
-        test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools,
-                      "{\n"
-                      "  \"tool_calls\": [\n"
-                      "    {\n"
-                      "      \"name\": \"special_function\",\n"
-                      "      \"arguments\": {\n"
-                      "        \"arg1\": 1\n"
-                      "      },\n"
-                      "      \"id\": \"123456789\"\n"
-                      "    }\n"
-                      "  ],\n"
-                      "  \"content\": \"\"\n"
-                      "}");
-#endif
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
     }
     {
-        auto tmpls = read_templates("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja");
-        std::vector<std::string>   end_tokens{ "</s>" };
+        // IBM Granite (reasoning and tool calling model)
+        auto tst = peg_tester("models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja", detailed_debug);
 
-        assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
 
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(
-            tmpls.get(), end_tokens, message_assist_call_id, tools,
-            "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]");
+        tst.test("<think>I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // TODO: pending support for WRAPPED_WITH_REASONING
+        // tst.test("<think>I'm\nthinking</think><response>Hello, world!\nWhat's up?</response>")
+        //     .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+        //     .expect(message_assist_thoughts)
+        //     .run();
     }
+
     {
-        assert_msg_equals(
-            simple_assist_msg("Réponse", "raisonnement"),
-            test_chat_parse(
-                message_assist_thoughts_unparsed_magistral.content,
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_MAGISTRAL,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
+        // ByteDance-Seed-OSS (reasoning and tool calling model)
+        auto tst = peg_tester("models/templates/ByteDance-Seed-OSS.jinja", detailed_debug);
+
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        tst.test("<seed:think>I'm thinking about the answer</seed:think>\nHello, world!")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(simple_assist_msg("Hello, world!", "I'm thinking about the answer"))
+            .run();
+
+        tst.test(
+               "<seed:tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>1</parameter>\n"
+               "</function>\n"
+               "</seed:tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+               "<seed:tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>1</parameter>\n"
+               "</function>\n"
+               "</seed:tool_call>\n"
+               "<seed:tool_call>\n"
+               "<function=special_function_with_opt>\n"
+               "<parameter=arg1>1</parameter>\n"
+               "<parameter=arg2>2</parameter>\n"
+               "</function>\n"
+               "</seed:tool_call>")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        tst.test(
+               "<seed:tool_call>\n"
+               "<function=todo_list>\n"
+               "<parameter=todos>[{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]</parameter>\n"
+               "</function>\n"
+               "</seed:tool_call>")
+            .tools({
+                todo_list
+        })
+            .expect_tool_calls({
+                { "todo_list", "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", {} },
+            })
+            .run();
+
+        // tool call with inside quotes
+        tst.test(
+               "<seed:tool_call>\n"
+               "<function=edit>\n"
+               "<parameter=filename>\n"
+               "foo.cpp\n"
+               "</parameter>\n"
+               "<parameter=oldString>"
+               "def foo(arg = \"14\"):\n"
+               "    return arg + \"bar\"\n"
+               "\n"
+               "</parameter>\n"
+               "<parameter=newString>"
+               "def foo(arg = \"15\"):\n"
+               "    pass\n"
+               "\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</seed:tool_call>")
+            .tools({
+                edit_tool
+        })
+            .expect_tool_calls({
+                { "edit", "{\"filename\": \"foo.cpp\", "
+                    "\"oldString\": \"def foo(arg = \\\"14\\\"):\\n    return arg + \\\"bar\\\"\\n\", "
+                    "\"newString\": \"def foo(arg = \\\"15\\\"):\\n    pass\\n\"}", {}
+                }
+            })
+            .run();
     }
-    {
-        auto tmpls = read_templates("models/templates/Qwen-QwQ-32B.jinja");
-        std::vector<std::string> end_tokens{ "<|im_end|>" };
 
-        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-    }
     {
-        auto tmpls = read_templates("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja");
-        std::vector<std::string> end_tokens{ "<|im_end|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-        assert_equals(
-            COMMON_CHAT_FORMAT_HERMES_2_PRO,
-            common_chat_templates_apply(
-                read_templates("models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja").get(),
-                inputs_tools)
-                .format);
-        assert_equals(
-            COMMON_CHAT_FORMAT_HERMES_2_PRO,
-            common_chat_templates_apply(
-                read_templates("models/templates/Qwen-Qwen2.5-7B-Instruct.jinja").get(),
-                inputs_tools)
-                .format);
-
-        // Test parsing
-        assert_msg_equals(
-            simple_assist_msg("", "", "python", ""),
-            test_chat_parse(
-                "```json\n"
-                "<function_call> { \"name\" : \"python\"",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            simple_assist_msg("Let's call something\n"),
-            test_chat_parse(
-                "Let's call something\n"
-                "<tool_call>{\"name\"",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(
-            simple_assist_msg("Let's call something\n"),
-            test_chat_parse(
-                "Let's call something\n"
-                "<tool_call>{\"name",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                // QwQ-32B's template adds a trailing <think> if add_generation_prompt
-                "I'm\nthinking</think>\n"
-                "<tool_call>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<tool_call>\n"
-                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(message_assist_call_content,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?<tool_call>\n"
-                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<function=special_function>{\"arg1\": 1}</function>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<function name=\"special_function\">\n"
-                "{\"arg1\": 1}\n"
-                "</function>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<tool>\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</tool>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<tools>\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</tools>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<response>\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</response>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "```xml\n"
-                "<response>\n"
-                "    {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</response>\n"
-                "```",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "```xml\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "```",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "```\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "```",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "```\n"
-                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "```",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "```json\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "```",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "```json\n"
-                "\n"
-                "                    <function_call> {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}} \n"
-                "                    </function_call> \n"
-                "``` ",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<json>\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</json>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<xml>\n"
-                "  {\n"
-                "    \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}\n"
-                "  }\n"
-                "</xml>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<JSON>\n"
-                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</JSON>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "{\n  \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-
-        // Test multiple tool calls
-        common_chat_msg message_assist_multiple_calls;
-        message_assist_multiple_calls.role = "assistant";
-        message_assist_multiple_calls.content = "";
-        message_assist_multiple_calls.tool_calls.push_back({"special_function", "{\"arg1\": 1}", ""});
-        message_assist_multiple_calls.tool_calls.push_back({"python", "{\"code\":\"print('hello')\"}", ""});
-
-        assert_msg_equals(
-            message_assist_multiple_calls,
-            test_chat_parse(
-                "<tool_call>\n"
-                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                "</tool_call>\n"
-                "<tool_call>\n"
-                "{\"name\": \"python\", \"arguments\": {\"code\":\"print('hello')\"}}\n"
-                "</tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-
-        assert_msg_equals(
-            message_assist_multiple_calls,
-            test_chat_parse(
-                "<function=special_function>{\"arg1\": 1}</function>\n"
-                "<function=python>{\"code\":\"print('hello')\"}</function>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-
-        assert_msg_equals(
-            simple_assist_msg(
-                "This is not a tool call:",
-                "",
-                "special_function",
-                "{\"arg1\": 1}"),
-            test_chat_parse(
-                "This is not a tool call:\n"
-                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
-        // assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
-        //     test_chat_parse(
-        //         "I'm\nthinking</think>Hello, world!\nWhat's up?",
-        //         COMMON_CHAT_FORMAT_HERMES_2_PRO));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts_unparsed_md,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ true,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ false,
-                }));
-        assert_msg_equals(message_assist_thoughts_unparsed_md_partial,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ true,
-                    /* .thinking_forced_open = */ false,
-                }));
-        assert_msg_equals(message_assist_thoughts_unopened_unparsed,
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "<tool_call>\n"
-                      "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                      "</tool_call>");
-
-        // Test multiple tool calls with template
-        common_chat_msg message_assist_multiple_calls_template;
-        message_assist_multiple_calls_template.role = "assistant";
-        message_assist_multiple_calls_template.content = "";
-        message_assist_multiple_calls_template.tool_calls.push_back({"special_function", "{\"arg1\": 1}", ""});
-        message_assist_multiple_calls_template.tool_calls.push_back({"python", "{\"code\":\"print('test')\"}", ""});
-
-        test_templates(tmpls.get(), end_tokens, message_assist_multiple_calls_template, tools,
-                      "<tool_call>\n"
-                      "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
-                      "</tool_call>\n"
-                      "<tool_call>\n"
-                      "{\"name\": \"python\", \"arguments\": {\"code\":\"print('test')\"}}\n"
-                      "</tool_call>");
-
-        test_templates(tmpls.get(), end_tokens, message_assist_call_python_lines, tools,
-                      "<tool_call>\n"
-                      "{\"name\": \"python\", \"arguments\": {\"code\":\"# This is a program:\\nprint('hey')\"}}\n"
-                      "</tool_call>");
-        assert_msg_equals(
-            simple_assist_msg("", /* reasoning_content= */ "<tool_call>nah uhg</tool_call>"),
-            test_chat_parse(
-                "<think><tool_call>nah uhg</tool_call>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
+        // Qwen3-Coder (tool calling with XML-style format)
+        auto tst = peg_tester("models/templates/Qwen3-Coder.jinja", detailed_debug);
+
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n"
+               "1\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n"
+               "1\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>\n"
+               "<tool_call>\n"
+               "<function=special_function_with_opt>\n"
+               "<parameter=arg1>\n"
+               "1\n"
+               "</parameter>\n"
+               "<parameter=arg2>\n"
+               "2\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        // Test with code content (multiline)
+        tst.test(
+               "<tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "def hello():\n"
+               "    print(\"Hello, world!\")\n"
+               "\n"
+               "hello()\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({
+                python_tool
+        })
+            .expect_tool_calls({
+                { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
+            })
+            .run();
+
+        // Test with code content (asian unicode chars)
+        tst.test(
+               "<tool_call>\n"
+               "<function=python>\n"
+               "<parameter=code>\n"
+               "格\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({
+                python_tool
+        })
+            .expect_tool_calls({
+                { "python", "{\"code\": \"格\"}", {} },
+            })
+            .run();
+
+        // Test with HTML tag content
+        tst.test(
+               "<tool_call>\n"
+               "<function=html>\n"
+               "<parameter=markup>\n"
+               "<html>\n"
+               " <head>\n"
+               "  <title>Hello!</title>\n"
+               " </head>\n"
+               "</html>\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({
+                html_tool
+        })
+            .expect_tool_calls({
+                { "html", "{\"markup\": \"<html>\\n <head>\\n  <title>Hello!</title>\\n </head>\\n</html>\"}", {} },
+            })
+            .run();
+
+        // Test with TODO list (array of objects)
+        tst.test(
+               "<tool_call>\n"
+               "<function=todo_list>\n"
+               "<parameter=todos>\n"
+               "[{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({
+                todo_list
+        })
+            .expect_tool_calls({
+                { "todo_list", "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", {} },
+            })
+            .run();
+
+        // Test flexible optional argument ordering (2 required + 4 optional, reversed optional order)
+        tst.test(
+               "<tool_call>\n"
+               "<function=tool_2req_4opt>\n"
+               "<parameter=req1>\nhello\n</parameter>\n"
+               "<parameter=req2>\n42\n</parameter>\n"
+               "<parameter=opt4>\n100\n</parameter>\n"
+               "<parameter=opt2>\n200\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ tool_2req_4opt })
+            .expect_tool_calls({
+                { "tool_2req_4opt", R"({"req1": "hello", "req2": 42, "opt4": 100, "opt2": 200})", {} },
+            })
+            .run();
+
+        // Test flexible optional argument ordering (2 required + 5 optional, reversed optional order)
+        tst.test(
+               "<tool_call>\n"
+               "<function=tool_2req_5opt>\n"
+               "<parameter=req1>\nworld\n</parameter>\n"
+               "<parameter=req2>\n7\n</parameter>\n"
+               "<parameter=opt5>\nlast\n</parameter>\n"
+               "<parameter=opt3>\nmiddle\n</parameter>\n"
+               "<parameter=opt1>\nfirst\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ tool_2req_5opt })
+            .expect_tool_calls({
+                { "tool_2req_5opt", R"({"req1": "world", "req2": 7, "opt5": "last", "opt3": "middle", "opt1": "first"})", {} },
+            })
+            .run();
+
+        // Test flexible optional argument ordering (2 required + 5 optional, all 5 in shuffled order)
+        tst.test(
+               "<tool_call>\n"
+               "<function=tool_2req_5opt>\n"
+               "<parameter=req1>\ntest\n</parameter>\n"
+               "<parameter=req2>\n99\n</parameter>\n"
+               "<parameter=opt3>\nc\n</parameter>\n"
+               "<parameter=opt1>\na\n</parameter>\n"
+               "<parameter=opt5>\ne\n</parameter>\n"
+               "<parameter=opt4>\n4\n</parameter>\n"
+               "<parameter=opt2>\n2\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .tools({ tool_2req_5opt })
+            .expect_tool_calls({
+                { "tool_2req_5opt", R"({"req1": "test", "req2": 99, "opt3": "c", "opt1": "a", "opt5": "e", "opt4": 4, "opt2": 2})", {} },
+            })
+            .run();
     }
     {
-        auto tmpls = read_templates("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja");
-        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
-                      common_chat_templates_apply(tmpls.get(), inputs_tools_builtin).format);
-        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
-                      common_chat_templates_apply(
-                          read_templates("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja").get(),
-                          inputs_tools_builtin)
-                          .format);
-
-        assert_equals(
-            message_assist_call,
-            test_chat_parse(
-                "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LLAMA_3_X}));
-
-        // test_templates(tmpls.get(), end_tokens, message_assist, tools, R"(?)", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_call_code_interpreter, llama_3_1_tools,
-                      "<|python_tag|>code_interpreter.call(code=\"print('hey')\")");
-        test_templates(tmpls.get(), end_tokens, message_assist_call_python, tools,
-                      "<|python_tag|>python.call(code=\"print('hey')\")");
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}");
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test(
+               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
+               "\"XYZCITY\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
+            .run();
     }
-    {
-        auto tmpls = read_templates("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja");
-        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
 
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}");
-    }
     {
-        auto tmpls = read_templates("models/templates/meetkai-functionary-medium-v3.1.jinja");
-        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY,
-                      common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1,
-            common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY,
-                        common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-
-        for (auto is_partial : { false, true }) {
-            assert_equals(
-                message_assist_call,
-                test_chat_parse(
-                    "<function=special_function>{\"arg1\": 1}</function>",
-                    is_partial,
-                    {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1}));
-        }
-
-        assert_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<function=special_function>{\"arg1\": 1}<",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1}));
-
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "<function=special_function>{\"arg1\": 1}</function>");
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test(
+               "REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
+               "\"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls_and_reasoning("get_time", "{\"city\":\"Tokyo\"}", "REASONING"))
+            .run();
     }
+
     {
-        auto tmpls = read_templates("models/templates/meetkai-functionary-medium-v3.2.jinja");
-        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        assert_msg_equals(
-            simple_assist_msg(
-                "Hello, world!\nnono\nWhat's up?",
-                "",
-                "special_function",
-                "{\"arg1\": 1}"),
-            test_chat_parse(
-                "all\n"
-                "Hello, world!\n"
-                "nono\n"
-                "What's up?>>>special_function\n"
-                "{\"arg1\": 1}\n",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
-        assert_msg_equals(message_assist_call_python_lines,
-            test_chat_parse(
-                "python\n"
-                "# This is a program:\n"
-                "print('hey')",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
-        assert_msg_equals(message_assist_call_python_lines_unclosed,
-            test_chat_parse(
-                "python\n"
-                "# This is a program:\n"
-                "print('hey')",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "special_function\n"
-                "{\"arg1\": 1} \n                    ",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "all\n"
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
-
-        test_templates(tmpls.get(), end_tokens, message_assist, {},
-                      "all\n"
-                      "Hello, world!\n"
-                      "What's up?",
-                      /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "special_function\n"
-                      "{\"arg1\": 1}");
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test(
+               "REASONING</think>CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": "
+               "\"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": "
+               "\"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .tools({
+                get_time_tool, get_weather_tool
+        })
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .parallel_tool_calls(true)
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "REASONING", "CONTENT",
+                { { "get_time", "{\"city\":\"Paris\"}" }, { "get_weather", "{\"city\":\"Paris\"}" } }))
+            .run();
     }
-    {
-        auto tmpls = read_templates("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja");
-        std::vector<std::string>   end_tokens{ "<|eot_id|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
 
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      " functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]");
-    }
     {
-        // Original DeepSeek R1 template. Leaves <｜tool▁calls▁begin｜> and others unclosed. Our logic fixes the prompt.
-        auto tmpls = read_templates("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja");
-        std::vector<std::string>   end_tokens{ "<｜end▁of▁sentence｜>" };
-
-        for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
-            auto params = common_chat_templates_apply(tmpls.get(), inputs);
-            assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, params.format);
-            assert_equals(true, params.thinking_forced_open);
-        }
-
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        assert_msg_equals(
-            simple_assist_msg("Hello, world!\nWhat's up?", "<think>I'm\nthinking"),
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-        assert_msg_equals(
-            simple_assist_msg("", "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with"),
-            test_chat_parse(
-                "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with",
-                /* is_partial= */ true,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts_unopened_unparsed,
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            // Latest template update (ast of 20250209) adds a trailing <think>\n if add_generation_prompt is true.
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-        // test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-        //               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
-        //               "```json\n"
-        //               "{\"arg1\": 1}\n"
-        //               // Look what's not here: <｜tool▁calls▁end｜> (also missing the <｜end▁of▁sentence｜>, but that is removed lazily by the test's delta logic)
-        //               "```<｜tool▁call▁end｜>",
-        //               /* expect_grammar_triggered= */ true,
-        //               /* test_grammar_if_triggered= */ false);
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test("REASONING</think>\nCONTENT")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(simple_assist_msg("CONTENT", "REASONING\n"))
+            .run();
     }
+
     {
-        // Replacement DeepSeek R1 template. Makes the Distill Qwen 7B/32B models happy to call tools and all.
-        auto tmpls = read_templates("models/templates/llama-cpp-deepseek-r1.jinja");
-        std::vector<std::string>   end_tokens{ "<｜end▁of▁sentence｜>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1,                   common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1,                   common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_DEEPSEEK_R1}));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-
-        assert_msg_equals(message_assist_call_thoughts_unparsed,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>\n\n"
-                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
-                "```json\n"
-                "{\"arg1\": 1}\n"
-                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_DEEPSEEK_R1}));
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "<｜tool▁calls｜>function<｜tool▁sep｜>special_function\n"
-                "```json\n"
-                "{\"arg1\": 1}\n"
-                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_DEEPSEEK_R1}));
-
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>\n\n"
-                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
-                "```json\n"
-                "{\"arg1\": 1}\n"
-                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
-                "```json\n"
-                "{\"arg1\": 1}\n"
-                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>");
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug);
+        tst.test("CONTENT").expect(simple_assist_msg("CONTENT", "")).run();
     }
+
+    // GLM-4.6 tests - format: <tool_call>function_name\n<arg_key>...</arg_key>\n<arg_value>...</arg_value>\n</tool_call>
     {
-        auto tmpls = read_templates("models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja");
-        std::vector<std::string> end_tokens{ "<|end_of_text|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_GRANITE, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-
-        assert_equals(COMMON_CHAT_FORMAT_GRANITE, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(
-            message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-
-        // Test parsing content with thinking
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><response>Hello, world!\nWhat's up?",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><response>Hello, world!\nWhat's up?</response>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(simple_assist_msg("<think>I'm\nthinking</think><response>Hello, world!\nWhat's up?</response>"),
-            test_chat_parse(
-                "<think>I'm\nthinking</think><response>Hello, world!\nWhat's up?</response>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(message_assist_empty,
-            test_chat_parse(
-                "<think",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(message_assist_empty,
-            test_chat_parse(
-                "<think",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(message_assist_thoughts_no_content,
-            test_chat_parse(
-                "<think>I'm\nthinking",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-        assert_msg_equals(
-            message_assist_empty,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><response",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-
-        // Test parsing tool calls
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(
-            message_assist_call_empty_args,
-            test_chat_parse(
-                "<|tool_call|>[{\"name\": \"special_function\"",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(
-            message_assist_call_cutoff_args,
-            test_chat_parse(
-                "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_GRANITE}));
-        assert_msg_equals(
-            message_assist_call_cutoff_args,
-            test_chat_parse(
-                "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test parsing tool calls with thinking
-        assert_msg_equals(
-            message_assist_call_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, {",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test template generation for regular content
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "Hello, world!\nWhat's up?",
-                      /* expect_grammar_triggered= */ false);
-    // TODO @ngxson : generic tool call should be removed in the future
-#if 0
-        // Test template generation for tool calls
-        test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools,
-                      "{\n"
-                      "  \"tool_calls\": [\n"
-                      "    {\n"
-                      "      \"name\": \"special_function\",\n"
-                      "      \"arguments\": {\n"
-                      "        \"arg1\": 1\n"
-                      "      },\n"
-                      "      \"id\": \"123456789\"\n"
-                      "    }\n"
-                      "  ],\n"
-                      "  \"content\": \"\"\n"
-                      "}",
-                      /* expect_grammar_triggered= */ false
-        );
-#endif
-    }
+        auto tst = peg_tester("models/templates/GLM-4.6.jinja", detailed_debug);
+        tst.test(
+               "<tool_call>special_function\n"
+               "<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n"
+               "</tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
+
+    // GLM-4.7-Flash tests - format: <tool_call>function_name<arg_key>...</arg_key><arg_value>...</arg_value></tool_call>
+    // Note: Template uses forced-open thinking mode (prompt ends with <think>)
     {
-        auto tmpls = read_templates("models/templates/openai-gpt-oss-120b.jinja");
-        std::vector<std::string> end_tokens{ "<|return|>", "<|call|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_GPT_OSS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_GPT_OSS, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        assert_msg_equals(simple_assist_msg("", "I'm\nthink"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthink",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "I'm\nthinking"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>analysis to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?<|end|>"
-                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-
-        // Test parse_tool_calls == false
-        assert_msg_equals(
-            simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ false,
-                }));
-        assert_msg_equals(
-            simple_assist_msg("", "I'm\nthinking"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1",
-                /* is_partial= */ true,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ false,
-                }));
-        assert_msg_equals(
-            simple_assist_msg("", "I'm\nthinking"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ false,
-                }));
-
-        // Test reasoning formats
-        assert_msg_equals(
-            simple_assist_msg(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
-                }));
-
-        assert_msg_equals(
-            simple_assist_msg(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                    /* .reasoning_in_content = */ true,
-                }));
-
-        // Test tool calling in role header
-        assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"),
-            test_chat_parse(
-                " to=functions.special_function<|channel|>commentary <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"),
-            test_chat_parse(
-                " to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
-            test_chat_parse(
-                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
-                "<|start|>assistant to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
-                }));
-    }
+        auto tst = peg_tester("models/templates/GLM-4.7-Flash.jinja", detailed_debug);
+
+        // Pure content (no reasoning)
+        tst.test("Hello, world!\nWhat's up?")
+            .enable_thinking(false)
+            .expect(message_assist)
+            .run();
+
+        // Reasoning with content (forced-open mode - input starts after <think>)
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // Tool call without reasoning
+        tst.test(
+               "<tool_call>special_function"
+               "<arg_key>arg1</arg_key><arg_value>1</arg_value>"
+               "</tool_call>")
+            .enable_thinking(false)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with reasoning (forced-open mode)
+        tst.test(
+               "I'm\nthinking</think>"
+               "<tool_call>special_function"
+               "<arg_key>arg1</arg_key><arg_value>1</arg_value>"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        tst.test(
+               "<tool_call>special_function"
+               "<arg_key>arg1</arg_key><arg_value>1</arg_value>"
+               "</tool_call>"
+               "<tool_call>special_function_with_opt"
+               "<arg_key>arg1</arg_key><arg_value>1</arg_value>"
+               "<arg_key>arg2</arg_key><arg_value>2</arg_value>"
+               "</tool_call>")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+    }
+
+    // Kimi-K2-Thinking tests - custom parser
+    // Unique feature: tool call ID embeds function name as functions.<name>:<counter>
     {
-        // Seed-OSS format tests
-        auto tmpls = read_templates("models/templates/ByteDance-Seed-OSS.jinja");
-        std::vector<std::string> end_tokens{ "<seed:eos>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_SEED_OSS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_SEED_OSS, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-
-        // Test simple reasoning content
-        assert_msg_equals(
-            simple_assist_msg("Hello, world!", "I'm thinking about the answer"),
-            test_chat_parse(
-                "<seed:think>I'm thinking about the answer</seed:think>Hello, world!",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test budget reflection tags
-        common_chat_msg msg_budget_reflect;
-        msg_budget_reflect.role = "assistant";
-        msg_budget_reflect.content = "<seed:cot_budget_reflect>Token usage: 45/1000\nI should continue thinking to find the best solution.</seed:cot_budget_reflect>I need to calculate this step by step.";
-        msg_budget_reflect.reasoning_content = "Token usage: 45/1000\nI should continue thinking to find the best solution.";
-        assert_msg_equals(
-            msg_budget_reflect,
-            test_chat_parse(
-                "<seed:think>Token usage: 45/1000\nI should continue thinking to find the best solution.</seed:think>"
-                "<seed:cot_budget_reflect>Token usage: 45/1000\nI should continue thinking to find the best solution.</seed:cot_budget_reflect>"
-                "I need to calculate this step by step.",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test tool calls with Seed-OSS format
-        common_chat_msg msg_tool_call;
-        msg_tool_call.role = "assistant";
-        msg_tool_call.tool_calls.push_back({"calculate_sum", "{\"numbers\": [1, 2, 3]}", ""});
-        assert_msg_equals(
-            msg_tool_call,
-            test_chat_parse(
-                "<seed:tool_call>\n"
-                "<function=calculate_sum>\n"
-                "<parameter=numbers>[1, 2, 3]</parameter>\n"
-                "</function>\n"
-                "</seed:tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_SEED_OSS}));
-
-        // Test reasoning + tool call combination
-        common_chat_msg msg_reasoning_tool;
-        msg_reasoning_tool.role = "assistant";
-        msg_reasoning_tool.content = "";
-        msg_reasoning_tool.reasoning_content = "I need to calculate the sum of these numbers";
-        msg_reasoning_tool.tool_calls.push_back({"calculate_sum", "{\"numbers\": [1, 2, 3]}", ""});
-        assert_msg_equals(
-            msg_reasoning_tool,
-            test_chat_parse(
-                "<seed:think>I need to calculate the sum of these numbers</seed:think>"
-                "<seed:tool_call>\n"
-                "<function=calculate_sum>\n"
-                "<parameter=numbers>[1, 2, 3]</parameter>\n"
-                "</function>\n"
-                "</seed:tool_call>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test deltas: the number of tool calls in partial parses should never decrease
-        std::string tool_msg = "<seed:tool_call>\n"
-            "<function=fun>\n"
-            "<parameter=smth>[1, 2, 3]</parameter>\n"
-            "</function>";
-        std::size_t previousToolCalls = 0;
-        for (std::size_t i = std::string("<seed:tool_call>").length(); i < tool_msg.length() - 1; i++) {
-            auto partial = tool_msg.substr(0, i);
-            auto partial_res = test_chat_parse(partial, true, { COMMON_CHAT_FORMAT_SEED_OSS, COMMON_REASONING_FORMAT_DEEPSEEK });
-            if (partial_res.tool_calls.size() < previousToolCalls) {
-                throw std::runtime_error("Tool call size decreased on partial: " + partial + " from " + std::to_string(previousToolCalls) + " to " + std::to_string(partial_res.tool_calls.size()));
-            }
-            previousToolCalls = partial_res.tool_calls.size();
-        }
-
-        // Test multiple parameters in tool call
-        common_chat_msg msg_multi_param;
-        msg_multi_param.role = "assistant";
-        msg_multi_param.tool_calls.push_back({"process_data", "{\"input\": \"test\", \"format\": \"json\"}", ""});
-        assert_msg_equals(
-            msg_multi_param,
-            test_chat_parse(
-                "<seed:tool_call>\n"
-                "<function=process_data>\n"
-                "<parameter=input>test</parameter>\n"
-                "<parameter=format>json</parameter>\n"
-                "</function>\n"
-                "</seed:tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_SEED_OSS}));
-
-        // Test partial parsing for incomplete tool call - don't actually add the call until parsing parameters is done
-        assert_msg_equals(
-            simple_assist_msg("", "", "calculate_sum", "{\"numbers\":"),
-            test_chat_parse(
-                "<seed:tool_call>\n"
-                "<function=calculate_sum>\n"
-                "<parameter=numbers>[1,\n",
-                /* is_partial= */ true,
-                {COMMON_CHAT_FORMAT_SEED_OSS}));
-
-        // Test incomplete reasoning tag
-        assert_msg_equals(
-            simple_assist_msg("", "I was thinking"),
-            test_chat_parse(
-                "<seed:think>I was thinking",
-                /* is_partial= */ true,
+        auto tst = peg_tester("models/templates/Kimi-K2-Thinking.jinja", detailed_debug);
+
+        // Basic content only
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        // Single tool call
+        tst.test(
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
+               "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
+            .tools({ special_function_tool })
+            .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}", "functions.special_function:0"))
+            .run();
+
+        // Single tool call with reasoning
+        tst.test(
+               "<think>I'm thinking about this</think>"
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
+               "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(simple_assist_msg("", "I'm thinking about this", "special_function", "{\"arg1\": 1}", "functions.special_function:0"))
+            .run();
+
+        // Tool call with content
+        tst.test(
+               "Hello, world!\nWhat's up?"
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
+               "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
+            .tools({ special_function_tool })
+            .expect(simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\": 1}", "functions.special_function:0"))
+            .run();
+
+        // Multiple tool calls (parallel) - tests the indexing behavior
+        tst.test(
+               "<|tool_calls_section_begin|>"
+               "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>"
+               "<|tool_call_begin|>functions.special_function_with_opt:1<|tool_call_argument_begin|>{\"arg1\": 1, \"arg2\": 2}<|tool_call_end|>"
+               "<|tool_calls_section_end|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", "functions.special_function:0" },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", "functions.special_function_with_opt:1" },
+            })
+            .run();
+
+        // Multiple tool calls with reasoning
+        tst.test(
+               "<think>I need to call two functions</think>"
+               "<|tool_calls_section_begin|>"
+               "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>"
+               "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print('hey')\"}<|tool_call_end|>"
+               "<|tool_calls_section_end|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, python_tool
+        })
+            .expect_reasoning("I need to call two functions")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", "functions.special_function:0" },
+                { "python", "{\"code\": \"print('hey')\"}", "functions.python:1" },
+            })
+            .run();
+
+        // Python tool with multiline code
+        tst.test(
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.python:0<|tool_call_argument_begin|>"
+               "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}<|tool_call_end|><|tool_calls_section_end|>")
+            .tools({ python_tool })
+            .expect_tool_calls({
+                { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", "functions.python:0" },
+            })
+            .run();
+
+        // Tool call with empty arguments
+        tst.test(
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.empty_args:0<|tool_call_argument_begin|>"
+               "{}<|tool_call_end|><|tool_calls_section_end|>")
+            .tools({ empty_args_tool })
+            .expect(simple_assist_msg("", "", "empty_args", "{}", "functions.empty_args:0"))
+            .run();
+
+        // Partial tool call (streaming)
+        tst.test(
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
+               "{\"arg1\": ")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .is_partial(true)
+            .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": ", "functions.special_function:0"))
+            .run();
+
+        // Three tool calls to verify counter continues incrementing
+        tst.test(
+               "<|tool_calls_section_begin|>"
+               "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>"
+               "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print(1)\"}<|tool_call_end|>"
+               "<|tool_call_begin|>functions.html:2<|tool_call_argument_begin|>{\"markup\": \"<p>test</p>\"}<|tool_call_end|>"
+               "<|tool_calls_section_end|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, python_tool, html_tool
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", "functions.special_function:0" },
+                { "python", "{\"code\": \"print(1)\"}", "functions.python:1" },
+                { "html", "{\"markup\": \"<p>test</p>\"}", "functions.html:2" },
+            })
+            .run();
+
+        // Multiple tool calls with reasoning, call *inside thinking block*
+        tst.test(
+               "<think>I need to call two functions"
+               "<|tool_calls_section_begin|>"
+               "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>"
+               "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print('hey')\"}<|tool_call_end|>"
+               "<|tool_calls_section_end|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, python_tool
+        })
+            .expect_reasoning("I need to call two functions")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", "functions.special_function:0" },
+                { "python", "{\"code\": \"print('hey')\"}", "functions.python:1" },
+            })
+            .run();
+
+        // Multiple tool calls with reasoning, call *inside thinking block* and *without section markers or end markers
+        tst.test(
+               "<think>I need to call two functions"
+               "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}"
+               "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print('hey')\"}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, python_tool
+        })
+            .expect_reasoning("I need to call two functions")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", "functions.special_function:0" },
+                { "python", "{\"code\": \"print('hey')\"}", "functions.python:1" },
+            })
+            .run();
+
+        // Real life test - execute_command
+        tst.test("<|tool_call_begin|>functions.execute_command:0<|tool_call_argument_begin|>{\"command\": \"ls -lah\""
+            ", \"cwd\": \"/home/jarvis/development/exllamav3\", \"timeout\": 10}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .parallel_tool_calls(true)
+            .tools({
+                {
+                    /* .name = */ "execute_command",
+                    /* .description = */ "Execute shell command",
+                    /* .parameters = */ R"({
+                        "type": "object",
+                        "properties": {
+                            "command": {
+                                "type": "string",
+                                "description": "Shell command to execute"
+                            },
+                            "cwd": {
+                                "type": "string",
+                                "description": "Working directory"
+                            },
+                            "timeout": {
+                                "type": "integer",
+                                "description": "The timeout in seconds"
+                            }
+                        },
+                        "required": ["command"]
+                    })"
+                }
+            }).
+            expect_tool_calls({
                 {
-                    /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test content without reasoning
-        assert_msg_equals(
-            simple_assist_msg("This is a simple response without reasoning."),
-            test_chat_parse(
-                "This is a simple response without reasoning.",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_SEED_OSS}));
+                    "execute_command",
+                    R"({"command": "ls -lah", "cwd": "/home/jarvis/development/exllamav3", "timeout": 10})",
+                    "functions.execute_command:0"
+                }
+            })
+            .run();
     }
-    {
-        auto tmpls = read_templates("models/templates/NVIDIA-Nemotron-Nano-v2.jinja");
-        std::vector<std::string> end_tokens{ "<SPECIAL_12>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_NEMOTRON_V2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_NEMOTRON_V2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_NEMOTRON_V2}));
-
-        // Test parsing content with thinking
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_NEMOTRON_V2,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test parsing tool calls
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "<TOOLCALL>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</TOOLCALL>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_NEMOTRON_V2}));
-
-        // Test parsing tool calls with thinking
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><TOOLCALL>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</TOOLCALL>",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_NEMOTRON_V2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test tool calls with extra content
-        assert_msg_equals(message_assist_call_content,
-            test_chat_parse(
-                "<TOOLCALL>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</TOOLCALL>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_NEMOTRON_V2}
-            ));
-
-        // Test tool calls with extra content AND thinking
-        assert_msg_equals(message_assist_call_thoughts_content,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><TOOLCALL>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</TOOLCALL>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_NEMOTRON_V2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test template generation for regular content
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "Hello, world!\nWhat's up?\n",
-                      /* expect_grammar_triggered= */ false);
 
-        // Test template generation for tool calls
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "<TOOLCALL>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</TOOLCALL>",
-                      /* expect_grammar_triggered= */ true
-        );
-    }
     {
-        auto tmpls = read_templates("models/templates/deepseek-ai-DeepSeek-V3.1.jinja");
-        std::vector<std::string>   end_tokens{ "<｜end▁of▁sentence｜>" };
-
-        for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
-            auto params = common_chat_templates_apply(tmpls.get(), inputs);
-            assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, params.format);
-            assert_equals(true, params.thinking_forced_open);
-        }
-
-        test_templates(tmpls.get(), end_tokens, message_assist, tools, "</think>Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "</think>Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
-        assert_msg_equals(
-            simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
-            test_chat_parse(
-                "I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                }));
-        // variant: thinking forced open, reasoning_format none
-        assert_msg_equals(
-            simple_assist_msg("REASONING</think>ok", ""),
-            test_chat_parse(
-                "REASONING</think>ok",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: happy path for when it works as the model card says it should
-        assert_msg_equals(
-            simple_assist_msg("", "", "get_time", "{\"city\":\"Tokyo\"}"),
-            test_chat_parse(
-                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: simple + thinking open
-        assert_msg_equals(
-            simple_assist_msg("", "REASONING", "get_time", "{\"city\":\"Tokyo\"}"),
-            test_chat_parse(
-                "REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: simple + multiple tool calls
-        common_chat_msg message_assist_multiple_calls;
-        message_assist_multiple_calls.role = "assistant";
-        message_assist_multiple_calls.content = "CONTENT";
-        message_assist_multiple_calls.tool_calls.push_back({"get_time", "{\"city\":\"Paris\"}", ""});
-        message_assist_multiple_calls.tool_calls.push_back({"get_weather", "{\"city\":\"Paris\"}", ""});
-        assert_msg_equals(
-            message_assist_multiple_calls,
-            test_chat_parse(
-                "CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: thinking forced open + tool call in reasoning content
-        assert_msg_equals(
-            simple_assist_msg("", "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING", "get_time", "{\"city\":\"Tokyo\"}"),
-            test_chat_parse(
-                "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING</think><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: thinking forced open + tool call in reasoning content + no closing think + not partial
-        //          This is a bit of a fine tuning issue on the model's part IMO. It really should not be attempting
-        //          to make tool calls in reasoning content according to the model card, but it does sometimes, so
-        //          add the reasoning content as regular content and parse the tool calls.
-        assert_msg_equals(
-            simple_assist_msg("REASONING", "", "get_time", "{\"city\":\"Tokyo\"}"),
-            test_chat_parse(
-                "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: thinking forced open + tool call in reasoning content + no closing think + partial
-        assert_msg_equals(
-            simple_assist_msg("", "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", "", ""),
-            test_chat_parse(
-                "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
-                /* is_partial= */ true,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ true,
-                    /* .parse_tool_calls = */ true,
-                }));
-        // variant: thinking not forced open + missing reasoning + no tool calls
-        assert_msg_equals(
-            simple_assist_msg("CONTENT", ""),
-            test_chat_parse(
-                "CONTENT",
-                /* is_partial= */ false,
-                {
-                    COMMON_CHAT_FORMAT_DEEPSEEK_V3_1,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                    /* .reasoning_in_content = */ false,
-                    /* .thinking_forced_open = */ false,
-                    /* .parse_tool_calls = */ true,
-                }));
-    }
+        auto kimi_id_special_func_tool_call =
+            simple_assist_msg("", "", "special_function", "{\"arg1\": 1}", "functions.special_function:0");
+
+        // Kimi-K2 old template
+        auto tst = peg_tester("models/templates/moonshotai-Kimi-K2.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test(
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
+               "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
+            .tools({ special_function_tool })
+            .expect(kimi_id_special_func_tool_call)
+            .run();
+
+        // Kimi-K2-Instruct
+        auto tst2 = peg_tester("models/templates/Kimi-K2-Instruct.jinja", detailed_debug);
+        tst2.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst2.test(
+               "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>"
+               "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>")
+            .tools({ special_function_tool })
+            .expect(kimi_id_special_func_tool_call)
+            .run();
+    }
+
+    // LFM2-8B-A1B tests - uses <|tool_list_start|>/<|tool_list_end|> and <|tool_call_start|>[name(args)]<|tool_call_end|>
     {
-        auto tmpls = read_templates("models/templates/Apertus-8B-Instruct.jinja");
-        std::vector<std::string> end_tokens{ "<|assistant_end|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_APERTUS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_APERTUS, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_APERTUS}));
-
-        // Test parsing content with thinking
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<|inner_prefix|>I'm\nthinking<|inner_suffix|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_APERTUS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test parsing tool calls
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_APERTUS}));
-
-        // Test parsing tool calls with thinking
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                "<|inner_prefix|>I'm\nthinking<|inner_suffix|><|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_APERTUS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test tool calls with extra content
-        assert_msg_equals(message_assist_call_content,
-            test_chat_parse(
-                "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_APERTUS}
-            ));
-
-        // Test tool calls with extra content AND thinking
-        assert_msg_equals(message_assist_call_thoughts_content,
-            test_chat_parse(
-                "<|inner_prefix|>I'm\nthinking<|inner_suffix|><|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_APERTUS,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
+        auto tst = peg_tester("models/templates/LFM2-8B-A1B.jinja", detailed_debug);
+
+        // Basic content only
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        // Single tool call without reasoning
+        tst.test("<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with string argument
+        tst.test("<|tool_call_start|>[get_time(city=\"XYZCITY\")]<|tool_call_end|>")
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
+            .run();
+
+        // Tool call with reasoning (enable_thinking=true)
+        tst.test("<think>I'm\nthinking</think><|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        // Multiple tool calls (parallel)
+        tst.test("<|tool_call_start|>[special_function(arg1=1), special_function_with_opt(arg1=1, arg2=2)]<|tool_call_end|>")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+            })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        // Tool call with reasoning and content
+        tst.test("<think>I need to call a function</think>"
+                 "Let me check the time.<|tool_call_start|>[get_time(city=\"Paris\")]<|tool_call_end|>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ get_time_tool })
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "I need to call a function", "Let me check the time.", { { "get_time", "{\"city\":\"Paris\"}" } }
+            ))
+            .run();
+
+        // Python tool with multiline code in string
+        tst.test("<|tool_call_start|>[python(code=\"def hello():\\n    print('hey')\")]<|tool_call_end|>")
+            .tools({ python_tool })
+            .expect_tool_calls({
+                { "python", R"#({"code": "def hello():\\n    print('hey')"})#", "" }
+            })
+            .run();
+
+        // Partial tool call (streaming)
+        tst.test("<|tool_call_start|>[special_function(arg1=")
+            .tools({ special_function_tool })
+            .is_partial(true)
+            .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": "))
+            .run();
+
+        // Tool call with empty arguments
+        tst.test("<|tool_call_start|>[empty_args()]<|tool_call_end|>")
+            .tools({ empty_args_tool })
+            .expect(simple_assist_msg("", "", "empty_args", "{}"))
+            .run();
+    }
+
+    // Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format
+    // Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|>
+    {
+        auto tst = peg_tester("models/templates/Apertus-8B-Instruct.jinja", detailed_debug);
+        tst.test("<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
 
-        // Test template generation for regular content
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "Hello, world!\nWhat's up?",
-                      /* expect_grammar_triggered= */ false);
+    // MiniMax-M2 tests - XML invoke format with parameter tags
+    // Format: <minimax:tool_call><invoke name="func"><parameter name="key">value</parameter></invoke></minimax:tool_call>
+    {
+        auto tst = peg_tester("models/templates/MiniMax-M2.jinja", detailed_debug);
+        tst.test(
+               "<minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter "
+               "name=\"arg1\">1</parameter>\n</invoke>\n</minimax:tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
 
-        // Test template generation for tool calls
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>",
-                      /* expect_grammar_triggered= */ true
-        );
+    // NVIDIA-Nemotron-Nano-v2 tests - <TOOLCALL>...</TOOLCALL> format
+    // Format: <TOOLCALL>[{"name": "func", "arguments": {...}}]</TOOLCALL>
+    {
+        auto tst = peg_tester("models/templates/NVIDIA-Nemotron-Nano-v2.jinja", detailed_debug);
+        tst.test("<TOOLCALL>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</TOOLCALL><SPECIAL_12>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
 
-        // TODO @ngxson : not sure why this fails, but not very important for now
-        // assert_equals(true, common_chat_templates_support_enable_thinking(tmpls.get()));
+    // CohereForAI-c4ai-command-r7b (uses START_RESPONSE/END_RESPONSE, START_THINKING/END_THINKING, START_ACTION/END_ACTION)
+    {
+        auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", detailed_debug);
+        tst.test("<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>").expect(message_assist).run();
+        tst.test(
+               "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+               "<|START_ACTION|>[\n"
+               "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
+               "]<|END_ACTION|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_thoughts_call_idx)
+            .run();
+    }
+    // CohereForAI-c4ai-command-r-plus (uses markdown code block format)
+    {
+        auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja", detailed_debug);
+        tst.test("<|CHATBOT_TOKEN|>Hello, world!\nWhat's up?<|END_OF_TURN_TOKEN|>").expect(message_assist).run();
+        // Tool calls: Action: followed by JSON code block
+        tst.test(
+               "Action:\n"
+               "```json\n"
+               "[{\"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}]\n"
+               "```")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
+
+    // mistralai-Mistral-Nemo-Instruct-2407.jinja
+    {
+        auto tst = peg_tester("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]")
+            .tools({ special_function_tool })
+            .expect(message_assist_call_id)
+            .run();
     }
     {
-        // LFM2 format tests
-        auto tmpls = read_templates("models/templates/llama-cpp-lfm2.jinja");
-        std::vector<std::string> end_tokens{ "<|im_end|>" };
-
-        auto inputs_tools_forced_json_schema = std::invoke([&]() -> common_chat_templates_inputs {
-            common_chat_templates_inputs inputs;
-            inputs.messages = {
-                std::invoke([&]() -> common_chat_msg {
-                    common_chat_msg msg;
-                    msg.role = "system";
-                    msg.content = "force json schema.\n";
-                    return msg;
-                }),
-                message_user,
-            };
-            inputs.tools = {special_function_tool};
-            return inputs;
-        });
-
-        {
-            auto params = common_chat_templates_apply(tmpls.get(), inputs_no_tools);
-            assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, params.format);
-            assert_equals(false, params.grammar_lazy);
-            assert_equals(std::string(R"(<|im_start|>user
-Hey there!<|im_end|>
-<|im_start|>assistant
-)"), params.prompt);
-        }
-
-        {
-            auto params = common_chat_templates_apply(tmpls.get(), inputs_tools);
-            assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, params.format);
-            assert_equals(false, params.grammar_lazy);
-            assert_equals(std::string(R"(<|im_start|>system
-List of tools: <|tool_list_start|>[{"type": "function", "function": {"name": "special_function", "description": "I'm special", "parameters": {"type": "object", "properties": {"arg1": {"type": "integer", "description": "The arg."}}, "required": ["arg1"]}}}]<|tool_list_end|><|im_end|>
-<|im_start|>user
-Hey there!<|im_end|>
-<|im_start|>assistant
-)"), params.prompt);
-            assert_equals(true, params.grammar.empty());
-        }
-
-        {
-            auto params = common_chat_templates_apply(tmpls.get(), inputs_tools_forced_json_schema);
-            assert_equals(COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS, params.format);
-            assert_equals(true, params.grammar_lazy);
-            assert_equals(std::string(R"(<|im_start|>system
-List of tools: <|tool_list_start|>[{"type": "function", "function": {"name": "special_function", "description": "I'm special", "parameters": {"type": "object", "properties": {"arg1": {"type": "integer", "description": "The arg."}}, "required": ["arg1"]}}}]<|tool_list_end|><|im_end|>
-<|im_start|>user
-Hey there!<|im_end|>
-<|im_start|>assistant
-)"), params.prompt);
-            assert_equals(false, params.grammar.empty());
-        }
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test single tool call with JSON format
-        common_chat_msg msg_single_tool_call;
-        msg_single_tool_call.role = "assistant";
-        msg_single_tool_call.tool_calls.push_back({"special_function", "{\"arg1\":1}", ""});
-        assert_msg_equals(
-            msg_single_tool_call,
-            test_chat_parse(
-                "<|tool_call_start|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]<|tool_call_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test tool call with string argument
-        common_chat_msg msg_tool_call_string;
-        msg_tool_call_string.role = "assistant";
-        msg_tool_call_string.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""});
-        assert_msg_equals(
-            msg_tool_call_string,
-            test_chat_parse(
-                "<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}]<|tool_call_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test tool call with multiple arguments
-        common_chat_msg msg_multi_args;
-        msg_multi_args.role = "assistant";
-        msg_multi_args.tool_calls.push_back({"calculate", "{\"x\":10,\"y\":20,\"operation\":\"add\"}", ""});
-        assert_msg_equals(
-            msg_multi_args,
-            test_chat_parse(
-                "<|tool_call_start|>[{\"name\": \"calculate\", \"arguments\": {\"x\": 10, \"y\": 20, \"operation\": \"add\"}}]<|tool_call_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test multiple tool calls in single array
-        common_chat_msg msg_multiple_tools;
-        msg_multiple_tools.role = "assistant";
-        msg_multiple_tools.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""});
-        msg_multiple_tools.tool_calls.push_back({"get_time", "{\"timezone\":\"UTC\"}", ""});
-        assert_msg_equals(
-            msg_multiple_tools,
-            test_chat_parse(
-                "<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}, {\"name\": \"get_time\", \"arguments\": {\"timezone\": \"UTC\"}}]<|tool_call_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test tool call with content before
-        common_chat_msg msg_content_before_tool;
-        msg_content_before_tool.role = "assistant";
-        msg_content_before_tool.content = "Let me check the weather for you.";
-        msg_content_before_tool.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""});
-        assert_msg_equals(
-            msg_content_before_tool,
-            test_chat_parse(
-                "Let me check the weather for you.<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}]<|tool_call_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test tool call with content after
-        common_chat_msg msg_content_after_tool;
-        msg_content_after_tool.role = "assistant";
-        msg_content_after_tool.content = "Here's the result.";
-        msg_content_after_tool.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""});
-        assert_msg_equals(
-            msg_content_after_tool,
-            test_chat_parse(
-                "<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}]<|tool_call_end|>Here's the result.",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Test tool call with newlines (common in LLM output)
-        common_chat_msg msg_tool_call_newlines;
-        msg_tool_call_newlines.role = "assistant";
-        msg_tool_call_newlines.tool_calls.push_back({"get_current_time", "{\"location\":\"Paris\"}", ""});
-        assert_msg_equals(
-            msg_tool_call_newlines,
-            test_chat_parse(
-                "<|tool_call_start|>[{\n    \"name\": \"get_current_time\",\n    \"arguments\": {\n        \"location\": \"Paris\"\n    }\n}]<|tool_call_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS}));
-
-        // Note: LFM2 uses JSON format for tool calls: [{"name": "...", "arguments": {...}}]
-        // Unlike other formats, LFM2 template does not render tool calls in conversation history,
-        // so we don't use test_templates() for tool call generation. Instead, the parsing tests
-        // above verify edge cases and format variations for the tool call output format.
+        auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.1.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("<function=special_function>{\"arg1\": 1}</function>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
+    // Functionary v3.2 - recipient-based format: >>>recipient\n{content}
+    {
+        auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.2.jinja", detailed_debug);
+        tst.test(">>>all\nHello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test(">>>special_function\n{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
     }
 
+    // FireFunction
     {
-        auto tmpls = read_templates("models/templates/MiniMax-M2.jinja");
-        std::vector<std::string> end_tokens{ "[e~[" };
-
-        assert_equals(COMMON_CHAT_FORMAT_MINIMAX_M2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_MINIMAX_M2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_MINIMAX_M2}));
-
-        // Test parsing content with thinking
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test parsing tool calls
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "<minimax:tool_call><invoke name=\"special_function\"><parameter name=\"arg1\">1</parameter></invoke></minimax:tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_MINIMAX_M2}));
-
-        // Test parsing tool calls with thinking
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><minimax:tool_call><invoke name=\"special_function\"><parameter name=\"arg1\">1</parameter></invoke></minimax:tool_call>",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test tool calls with extra content
-        assert_msg_equals(message_assist_call_content,
-            test_chat_parse(
-                "<minimax:tool_call><invoke name=\"special_function\"><parameter name=\"arg1\">1</parameter></invoke></minimax:tool_call>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_MINIMAX_M2}
-            ));
-
-        // Test tool calls with extra content AND thinking
-        assert_msg_equals(message_assist_call_thoughts_content,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><minimax:tool_call><invoke name=\"special_function\"><parameter name=\"arg1\">1</parameter></invoke></minimax:tool_call>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test streaming
-        test_parser_with_streaming(message_assist_call_thoughts_content,
-            "<think>I'm\nthinking\n</think>Hello, world!\nWhat's up?\n<minimax:tool_call><invoke name=\"special_function\"><parameter name=\"arg1\">1</parameter></invoke></minimax:tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(message_assist_call_thoughts_unparsed,
-            "<think>I'm\nthinking</think>\n\n<minimax:tool_call><invoke name=\"special_function\"><parameter name=\"arg1\">1</parameter></invoke></minimax:tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_NONE
-            }); });
-        test_parser_with_streaming(message_assist_call_thoughts_content,
-            "<think>I'm\nthinking\n</think>\n\nHello, world!\nWhat's up?\n\n<minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter name=\"arg1\">1</parameter>\n</invoke>\n</minimax:tool_call>\n",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(message_assist_call_withopt,
-            "<minimax:tool_call>\n<invoke name=\"special_function_with_opt\">\n<parameter name=\"arg1\">1</parameter>\n<parameter name=\"arg2\">2</parameter>\n</invoke>\n</minimax:tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_NONE
-            }); });
-
-        // Test template generation for regular content
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "Hello, world!\nWhat's up?",
-                      /* expect_grammar_triggered= */ false);
-
-        // Test template generation for tool calls
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "<minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter name=\"arg1\">1</parameter>\n</invoke>\n</minimax:tool_call>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_NONE,
-                      /* ignore_whitespace_differences= */ true
-        );
-
-        // Test template generation for tools with optional parameters
-        test_templates(tmpls.get(), end_tokens, message_assist_call_noopt, tools,
-                      "<minimax:tool_call>\n<invoke name=\"special_function_with_opt\">\n<parameter name=\"arg1\">1</parameter>\n</invoke>\n</minimax:tool_call>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_NONE,
-                      /* ignore_whitespace_differences= */ true
-        );
-        test_templates(tmpls.get(), end_tokens, message_assist_call_withopt, tools,
-                      "<minimax:tool_call>\n<invoke name=\"special_function_with_opt\">\n<parameter name=\"arg1\">1</parameter>\n<parameter name=\"arg2\">2</parameter>\n</invoke>\n</minimax:tool_call>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_NONE,
-                      /* ignore_whitespace_differences= */ true
-        );
+        auto tst = peg_tester("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test(" functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
     }
 
+    // DeepSeek R1 Distill Llama 8B - reasoning tests only (forced open thinking)
+    // Note: Template uses forced-open mode (prompt ends with <think>), so input shouldn't include opening tag
     {
-        auto tmpls = read_templates("models/templates/GLM-4.6.jinja");
-        std::vector<std::string>   end_tokens{ "<|assistant|>", "<|observation|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_GLM_4_5, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_GLM_4_5, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GLM_4_5}));
-
-        // Test parsing content with thinking
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "\n<think>I'm\nthinking</think>\nHello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }), true);
-
-        // Test parsing tool calls
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GLM_4_5}), true);
-
-        // Test parsing tool calls with thinking
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                "\n<think>I'm\nthinking</think>\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }), true);
-
-        // Test tool calls with extra content
-        assert_msg_equals(message_assist_call_content,
-            test_chat_parse(
-                "\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_GLM_4_5}
-            ), true);
-
-        // Test tool calls with extra content AND thinking
-        assert_msg_equals(message_assist_call_thoughts_content,
-            test_chat_parse(
-                "\n<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }), true);
-
-        // Test streaming
-        test_parser_with_streaming(message_assist_call_thoughts_content,
-            "\n<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(message_assist_call_thoughts_unparsed,
-            "\n<think>I'm\nthinking</think>\n\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_NONE
-            }); });
-        test_parser_with_streaming(message_assist_call_withopt,
-            "\n<think></think>\n<tool_call>special_function_with_opt\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n<arg_key>arg2</arg_key>\n<arg_value>2</arg_value>\n</tool_call>\n",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-            test_parser_with_streaming(
-                simple_assist_msg("", "", "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"),
-                "<tool_call>complex_function\n"
-                "<arg_key>name</arg_key>\n"
-                "<arg_value>John Doe</arg_value>\n"
-                "<arg_key>age</arg_key>\n"
-                "<arg_value>30</arg_value>\n"
-                "<arg_key>active</arg_key>\n"
-                "<arg_value>true</arg_value>\n"
-                "<arg_key>score</arg_key>\n"
-                "<arg_value>95.5</arg_value>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_GLM_4_5}); });
-        test_parser_with_streaming(
-                simple_assist_msg("", "", "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"),
-                "<tool_call>web_search\n"
-                "<arg_key>query</arg_key>\n"
-                "<arg_value>\"From Zero\" Linkin Park album tracklist complete songs</arg_value>\n"
-                "<arg_key>limit</arg_key>\n"
-                "<arg_value>3</arg_value>\n"
-                "<arg_key>type</arg_key>\n"
-                "<arg_value>text</arg_value>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_GLM_4_5}); });
-
-        // Test interleaved thinking
-        test_parser_with_streaming(simple_assist_msg("Hello, world!\n\nWhat's up?", "I'm\nthinkingThinking2", "special_function", "{\"arg1\": 1}"),
-            "\n<think>I'm\nthinking</think>Hello, world!\n<think>Thinking2</think>What's up?\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(simple_assist_msg("\n<think>I'm\nthinking</think>Hello, world!\n<think>Thinking2</think>What's up?", "", "special_function", "{\"arg1\": 1}"),
-            "\n<think>I'm\nthinking</think>Hello, world!\n<think>Thinking2</think>What's up?\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_GLM_4_5,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_NONE
-            }); });
-
-        // Test template generation for regular content
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "\n<think></think>\nHello, world!\nWhat's up?",
-                      /* expect_grammar_triggered= */ false);
-
-        // Test template generation for tool calls
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "\n<think></think>\n<tool_call>special_function\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>\n",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ false,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                      /* ignore_whitespace_differences= */ true
-        );
-
-        // Test template generation for tools with optional parameters
-        test_templates(tmpls.get(), end_tokens, message_assist_call_noopt, tools,
-                      "\n<think></think>\n<tool_call>special_function_with_opt\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n</tool_call>\n",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ false,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                      /* ignore_whitespace_differences= */ true
-        );
-        test_templates(tmpls.get(), end_tokens, message_assist_call_withopt, tools,
-                      "\n<think></think>\n<tool_call>special_function_with_opt\n<arg_key>arg1</arg_key>\n<arg_value>1</arg_value>\n<arg_key>arg2</arg_key>\n<arg_value>2</arg_value>\n</tool_call>\n",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ false,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                      /* ignore_whitespace_differences= */ true
-        );
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?")
+            .enable_thinking(true)  // Forced open
+            .expect(message_assist)
+            .run();
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+    }
+    // llama-cpp DeepSeek R1 template (always forced-open thinking)
+    {
+        auto tst = peg_tester("models/templates/llama-cpp-deepseek-r1.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+        tst.test(
+               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+               "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .tools({ special_function_tool })
+            .parallel_tool_calls(true)
+            .expect(message_assist_call)
+            .run();
+    }
+    // DeepSeek R1 Distill Qwen 32B - reasoning tests only (forced open thinking)
+    // Note: Template uses forced-open mode (prompt ends with <think>), so input shouldn't include opening tag
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").enable_thinking(true).expect(message_assist).run();
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+        tst.test(
+               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+               "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
+
+    // MiMo-VL / Hermes 3 / Qwen 2.5 (Common <tool_call> JSON format)
+    for (const auto & path :
+         { "models/templates/MiMo-VL.jinja", "models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja",
+           "models/templates/Qwen-Qwen2.5-7B-Instruct.jinja" }) {
+        auto tst = peg_tester(path, detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n</tool_call>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+    }
+
+    // Apriel 1.5
+    {
+        auto tst = peg_tester("models/templates/unsloth-Apriel-1.5.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("<tool_calls>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]</tool_calls>")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
     }
 
+    // Apriel 1.6 Thinker (reasoning-only support)
     {
-        auto tmpls = read_templates("models/templates/Kimi-K2-Thinking.jinja");
-        std::vector<std::string> end_tokens{ "<|im_end|>" };
-
-        assert_equals(COMMON_CHAT_FORMAT_KIMI_K2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
-        assert_equals(COMMON_CHAT_FORMAT_KIMI_K2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
-
-        // Test parsing regular content
-        assert_msg_equals(message_assist,
-            test_chat_parse(
-                "Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_KIMI_K2}));
-
-        // Test parsing content with thinking
-        assert_msg_equals(message_assist_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                }));
-
-        // Test parsing tool calls
-        assert_msg_equals(message_assist_call,
-            test_chat_parse(
-                "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_KIMI_K2}));
-
-        // Test parsing tool calls with thinking
-        assert_msg_equals(message_assist_call_thoughts,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test tool calls with extra content
-        assert_msg_equals(message_assist_call_content,
-            test_chat_parse(
-                "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_KIMI_K2}
-            ));
-
-        // Test tool calls with extra content AND thinking
-        assert_msg_equals(message_assist_call_thoughts_content,
-            test_chat_parse(
-                "<think>I'm\nthinking</think><|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>Hello, world!\nWhat's up?",
-                /* is_partial= */ false,
-                {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-                }));
-
-        // Test streaming
-        test_parser_with_streaming(message_assist_call_thoughts_content,
-            "<think>I'm\nthinking\n</think>Hello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(message_assist_call_thoughts_unparsed,
-            "<think>I'm\nthinking</think>\n\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_NONE
-            }); });
-        test_parser_with_streaming(message_assist_call_thoughts_content,
-            "<think>I'm\nthinking\n</think>\n\nHello, world!\nWhat's up?\n\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>\n",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(message_assist_call_withopt,
-            "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function_with_opt:0<|tool_call_argument_begin|>{\"arg1\": 1, \"arg2\": 2}<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_NONE
-            }); });
-        test_parser_with_streaming(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": \"123456\"}"),
-            "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": \"123456\"}<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": [1, 2, \"345\", 6]}"),
-            "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": [1, 2, \"345\", 6]}<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": {\"12\": 34, \"5\": [67, 8], \"9\": \"10\"}}"),
-            "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": {\"12\": 34, \"5\": [67, 8], \"9\": \"10\"}}<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    /*  .format = */ COMMON_CHAT_FORMAT_KIMI_K2,
-                    /*  .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(
-                simple_assist_msg("", "", "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"),
-                "<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function:0<|tool_call_argument_begin|>"
-                "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}"
-                "<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); });
-        test_parser_with_streaming(
-                simple_assist_msg("", "", "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"),
-                "<|tool_calls_section_begin|><|tool_call_begin|>functions.web_search:0<|tool_call_argument_begin|>"
-                "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"
-                "<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); });
-        test_parser_with_streaming(
-                simple_assist_msg("", "", "read_file", "{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}"),
-                "<|tool_calls_section_begin|><|tool_call_begin|>functions.read_file:0<|tool_call_argument_begin|>"
-                "{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}"
-                "<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); });
-        test_parser_with_streaming(
-                simple_assist_msg(
-                        "Let me start by examining the relevant files to understand the current implementation.", "",
-                        "read_file",
-                        "{\"files\": [{\"path\": \"src/app/Partners.tsx\", \"line_ranges\": [\"1-100\"]}]}"),
-                "Let me start by examining the relevant files to understand the current implementation."
-                "<|tool_calls_section_begin|><|tool_call_begin|>functions.read_file:0<|tool_call_argument_begin|>"
-                "{\"files\":[{\"path\":\"src/app/Partners.tsx\",\"line_ranges\":[\"1-100\"]}]}"
-                "<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); });
-        auto multi_tool_msg = simple_assist_msg("Let me call multiple tools.", "I'm thinking.");
-        multi_tool_msg.tool_calls.push_back({ "read_file", "{\"files\": [{\"path\": \"src/app/Partners.tsx\", \"line_ranges\": [\"1-100\"]}]}", "" });
-        multi_tool_msg.tool_calls.push_back({ "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}", "" });
-        multi_tool_msg.tool_calls.push_back({ "complex_function", "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}", "" });
-        multi_tool_msg.tool_calls.push_back({ "emoji_function", "{\"message\":\"Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\"}", "" });
-        test_parser_with_streaming(multi_tool_msg,
-                "<think>I'm thinking.</think>Let me call multiple tools."
-                "<|tool_calls_section_begin|>"
-                "<|tool_call_begin|>functions.read_file:0<|tool_call_argument_begin|>"
-                "{\"files\":[{\"path\":\"src/app/Partners.tsx\",\"line_ranges\":[\"1-100\"]}]}"
-                "<|tool_call_end|>"
-                "<|tool_call_begin|>functions.web_search:1<|tool_call_argument_begin|>"
-                "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"
-                "<|tool_call_end|>"
-                "<|tool_call_begin|>functions.complex_function:2<|tool_call_argument_begin|>"
-                "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}"
-                "<|tool_call_end|>"
-                "<|tool_call_begin|>functions.emoji_function:3<|tool_call_argument_begin|>"
-                "{\"message\":\"Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\"}"
-                "<|tool_call_end|>"
-                "<|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    COMMON_CHAT_FORMAT_KIMI_K2,
-                    COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(
-                simple_assist_msg("", "I'm thinking", "complex_function_in_think", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"),
-                "<think>I'm thinking<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function_in_think:0<|tool_call_argument_begin|>"
-                "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}"
-                "<|tool_call_end|><|tool_calls_section_end|>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    COMMON_CHAT_FORMAT_KIMI_K2,
-                    COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-        test_parser_with_streaming(
-                simple_assist_msg("Hello", "I'm thinkingI'm still thinking", "complex_function_in_think", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"),
-                "<think>I'm thinking<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function_in_think:0<|tool_call_argument_begin|>"
-                "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}"
-                "<|tool_call_end|><|tool_calls_section_end|>I'm still thinking</think>Hello",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {
-                    COMMON_CHAT_FORMAT_KIMI_K2,
-                    COMMON_REASONING_FORMAT_DEEPSEEK
-            }); });
-
-        // Test template rendering
-        common_chat_templates_inputs conversation_with_tools = inputs_tools;
-        conversation_with_tools.messages.push_back(simple_assist_msg("Let's do it", "Think first", "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"));
-        conversation_with_tools.messages.push_back({
-            "tool",
-            "Tool response 1",
-            /* .content_parts = */ {},
-            /* .tool_calls = */ {},
-            /* .reasoning_content = */ "",
-            /* .tool_name = */ "complex_function",
-            /* .tool_call_id = */ "",
-        });
-        conversation_with_tools.messages.push_back(simple_assist_msg("Continue", "Think next", "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"));
-        conversation_with_tools.messages.push_back({
-            "tool",
-            "Tool response 2",
-            /* .content_parts = */ {},
-            /* .tool_calls = */ {},
-            /* .reasoning_content = */ "",
-            /* .tool_name = */ "web_search",
-            /* .tool_call_id = */ "",
-        });
-        conversation_with_tools.messages.push_back(simple_assist_msg("CC", "Think last", "read_file", "{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}"));
-        conversation_with_tools.messages.push_back({
-            "tool",
-            "Tool response 3",
-            /* .content_parts = */ {},
-            /* .tool_calls = */ {},
-            /* .reasoning_content = */ "",
-            /* .tool_name = */ "read_file",
-            /* .tool_call_id = */ "",
-        });
-        assert_equals(common_chat_templates_apply(tmpls.get(), conversation_with_tools).prompt, std::string("<|im_system|>tool_declare<|im_middle|>[{\"type\": \"function\", \"function\": {\"name\": \"special_function\", \"description\": \"I'm special\", \"parameters\": {\"type\": \"object\", \"properties\": {\"arg1\": {\"type\": \"integer\", \"description\": \"The arg.\"}}, \"required\": [\"arg1\"]}}}]<|im_end|><|im_system|>system<|im_middle|>You are Kimi, an AI assistant created by Moonshot AI.<|im_end|><|im_user|>user<|im_middle|>Hey there!<|im_end|><|im_assistant|>assistant<|im_middle|><think>Think first</think>Let's do it<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function:0<|tool_call_argument_begin|>{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}<|tool_call_end|><|tool_calls_section_end|><|im_end|><|im_system|>complex_function<|im_middle|>## Return of functions.complex_function:0\nTool response 1<|im_end|><|im_assistant|>assistant<|im_middle|><think>Think next</think>Continue<|tool_calls_section_begin|><|tool_call_begin|>functions.web_search:1<|tool_call_argument_begin|>{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}<|tool_call_end|><|tool_calls_section_end|><|im_end|><|im_system|>web_search<|im_middle|>## Return of functions.web_search:1\nTool response 2<|im_end|><|im_assistant|>assistant<|im_middle|><think>Think last</think>CC<|tool_calls_section_begin|><|tool_call_begin|>functions.read_file:2<|tool_call_argument_begin|>{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}<|tool_call_end|><|tool_calls_section_end|><|im_end|><|im_system|>read_file<|im_middle|>## Return of functions.read_file:2\nTool response 3<|im_end|><|im_assistant|>assistant<|im_middle|>"));
-
-        // Test template generation for regular content
-        test_templates(tmpls.get(), end_tokens, message_assist, tools,
-                      "<think></think>Hello, world!\nWhat's up?",
-                      /* expect_grammar_triggered= */ false);
-
-        // Test template generation for tool calls
-        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
-                      "<think></think><|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                      /* ignore_whitespace_differences= */ true
-        );
-
-        // Test template generation for tools with optional parameters
-        test_templates(tmpls.get(), end_tokens, message_assist_call_noopt, tools,
-                      "<think></think><|tool_calls_section_begin|><|tool_call_begin|>functions.special_function_with_opt:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                      /* ignore_whitespace_differences= */ true
-        );
-        test_templates(tmpls.get(), end_tokens, message_assist_call_withopt, tools,
-                      "<think></think><|tool_calls_section_begin|><|tool_call_begin|>functions.special_function_with_opt:0<|tool_call_argument_begin|>{\"arg1\": 1, \"arg2\": 2}<|tool_call_end|><|tool_calls_section_end|>",
-                      /* expect_grammar_triggered= */ true,
-                      /* test_grammar_if_triggered= */ true,
-                      /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK,
-                      /* ignore_whitespace_differences= */ true
-        );
-    }
-
-    // Test Qwen3-Coder XML format
+        auto tst = peg_tester("models/templates/Apriel-1.6-15b-Thinker-fixed.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        // Implicit reasoning start (forced open)
+        tst.test("I'm\nthinking\n[BEGIN FINAL RESPONSE]\nHello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // Reasoning + Tool calls
+        tst.test(
+               "I'm\nthinking\n[BEGIN FINAL RESPONSE]\n<tool_calls>[{\"name\": \"special_function\", \"arguments\": "
+               "{\"arg1\": 1}}]</tool_calls>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+    }
+
+    // Mistral Small 3.2 - FUNC_BRACKET_TAG format: [TOOL_CALLS]func_name[CALL_ID]id[ARGS]{...}
     {
-        // Basic XML tool call parsing
-        assert_msg_equals(
-            message_assist_call,
-            test_chat_parse(
-                "<tool_call>\n"
-                "  <function=special_function>\n"
-                "    <parameter=arg1>\n"
-                "      1\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-                /* is_partial= */ false,
-                {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}));
-
-        // Multiple parameters with different types
-        common_chat_msg expected_multi_param;
-        expected_multi_param.role = "assistant";
-        expected_multi_param.tool_calls = {
-            { "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}", "" }
-        };
-
-        test_parser_with_streaming(expected_multi_param,
-                "<tool_call>\n"
-                "  <function=complex_function>\n"
-                "    <parameter=name>\n"
-                "      John Doe\n"
-                "    </parameter>\n"
-                "    <parameter=age>\n"
-                "      30\n"
-                "    </parameter>\n"
-                "    <parameter=active>\n"
-                "      true\n"
-                "    </parameter>\n"
-                "    <parameter=score>\n"
-                "      95.5\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Special characters and Unicode
-        common_chat_msg expected_special_chars;
-        expected_special_chars.role = "assistant";
-        expected_special_chars.tool_calls = {
-            { "unicode_function", "{\"message\":\"Hello 世界! 🌍 Special chars: @#$%^&*()\"}", "" }
-        };
-
-        test_parser_with_streaming(expected_special_chars,
-                "<tool_call>\n"
-                "  <function=unicode_function>\n"
-                "    <parameter=message>\n"
-                "      Hello 世界! 🌍 Special chars: @#$%^&*()\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Multiline content with newlines and indentation
-        common_chat_msg expected_multiline;
-        expected_multiline.role = "assistant";
-        expected_multiline.tool_calls = {
-            { "code_function", "{\"code\":\"def hello():\\n    print(\\\"Hello, World!\\\")\\n    return True\"}", "" }
-        };
-
-        test_parser_with_streaming(expected_multiline,
-                "<tool_call>\n"
-                "  <function=code_function>\n"
-                "    <parameter=code>\n"
-                "def hello():\n"
-                "    print(\"Hello, World!\")\n"
-                "    return True\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // JSON object as parameter value
-        common_chat_msg expected_json_param;
-        expected_json_param.role = "assistant";
-        expected_json_param.tool_calls = {
-            { "json_function", "{\"config\":{\"host\":\"localhost\",\"port\":8080,\"ssl\":false}}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_json_param,
-                "<tool_call>\n"
-                "  <function=json_function>\n"
-                "    <parameter=config>\n"
-                "      {\"host\": \"localhost\", \"port\": 8080, \"ssl\": false}\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Array as parameter value
-        common_chat_msg expected_array_param;
-        expected_array_param.role = "assistant";
-        expected_array_param.tool_calls = {
-            { "array_function", "{\"items\":[\"apple\",\"banana\",\"cherry\"]}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_array_param,
-                "<tool_call>\n"
-                "  <function=array_function>\n"
-                "    <parameter=items>\n"
-                "      [\"apple\", \"banana\", \"cherry\"]\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Empty parameter
-        common_chat_msg expected_empty_param;
-        expected_empty_param.role = "assistant";
-        expected_empty_param.tool_calls = {
-            { "empty_function", "{\"empty_param\":\"\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_empty_param,
-                "<tool_call>\n"
-                "  <function=empty_function>\n"
-                "    <parameter=empty_param>\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Boolean values (true/false)
-        common_chat_msg expected_boolean;
-        expected_boolean.role = "assistant";
-        expected_boolean.tool_calls = {
-            { "boolean_function", "{\"enabled\":true,\"debug\":false}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_boolean,
-                "<tool_call>\n"
-                "  <function=boolean_function>\n"
-                "    <parameter=enabled>\n"
-                "      true\n"
-                "    </parameter>\n"
-                "    <parameter=debug>\n"
-                "      false\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Null value
-        common_chat_msg expected_null;
-        expected_null.role = "assistant";
-        expected_null.tool_calls = {
-            { "null_function", "{\"optional_param\":null}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_null,
-                "<tool_call>\n"
-                "  <function=null_function>\n"
-                "    <parameter=optional_param>\n"
-                "      null\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Negative numbers and scientific notation
-        common_chat_msg expected_numbers;
-        expected_numbers.role = "assistant";
-        expected_numbers.tool_calls = {
-            { "math_function", "{\"negative\":-42,\"decimal\":-3.14,\"scientific\":1.23e-4}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_numbers,
-                "<tool_call>\n"
-                "  <function=math_function>\n"
-                "    <parameter=negative>\n"
-                "      -42\n"
-                "    </parameter>\n"
-                "    <parameter=decimal>\n"
-                "      -3.14\n"
-                "    </parameter>\n"
-                "    <parameter=scientific>\n"
-                "      1.23e-4\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // XML-like content in parameters (should be escaped)
-        common_chat_msg expected_xml_content;
-        expected_xml_content.role = "assistant";
-        expected_xml_content.tool_calls = {
-            { "xml_function", "{\"xml_content\":\"<root><item>value</item></root>\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_xml_content,
-                "<tool_call>\n"
-                "  <function=xml_function>\n"
-                "    <parameter=xml_content>\n"
-                "      <root><item>value</item></root>\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Quotes and escape characters
-        common_chat_msg expected_quotes;
-        expected_quotes.role = "assistant";
-        expected_quotes.tool_calls = {
-            { "quote_function", "{\"message\":\"She said \\\"Hello!\\\" and left.\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_quotes,
-                "<tool_call>\n"
-                "  <function=quote_function>\n"
-                "    <parameter=message>\n"
-                "      She said \"Hello!\" and left.\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Long parameter value (simplified)
-        std::string long_text = "This is a long text parameter that should test the parser's ability to handle larger amounts of text data.";
-
-        common_chat_msg expected_long_text;
-        expected_long_text.role = "assistant";
-        expected_long_text.tool_calls = {
-            { "long_function", "{\"long_text\":\"" + long_text + "\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_long_text,
-                "<tool_call>\n"
-                "  <function=long_function>\n"
-                "    <parameter=long_text>\n"
-                "      " + long_text + "\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Mixed content with text before and after tool call
-        common_chat_msg expected_mixed_content;
-        expected_mixed_content.role = "assistant";
-        expected_mixed_content.content = "I'll help you search for products. ";
-        expected_mixed_content.tool_calls = {
-            { "search_function", "{\"query\":\"laptops\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_mixed_content,
-                "I'll help you search for products. <tool_call>\n"
-                "  <function=search_function>\n"
-                "    <parameter=query>\n"
-                "      laptops\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Compact format (no extra whitespace)
-        common_chat_msg expected_compact;
-        expected_compact.role = "assistant";
-        expected_compact.tool_calls = {
-            { "compact_function", "{\"param\":\"value\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_compact,
-                "<tool_call><function=compact_function><parameter=param>value</parameter></function></tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Function name with underscores and numbers
-        common_chat_msg expected_complex_name;
-        expected_complex_name.role = "assistant";
-        expected_complex_name.tool_calls = {
-            { "get_user_data_v2", "{\"user_id\":12345}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_complex_name,
-                "<tool_call>\n"
-                "  <function=get_user_data_v2>\n"
-                "    <parameter=user_id>\n"
-                "      12345\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Parameter names with underscores and numbers
-        common_chat_msg expected_complex_params;
-        expected_complex_params.role = "assistant";
-        expected_complex_params.tool_calls = {
-            { "test_function", "{\"param_1\":\"value1\",\"param_2_name\":\"value2\",\"param3\":123}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_complex_params,
-                "<tool_call>\n"
-                "  <function=test_function>\n"
-                "    <parameter=param_1>\n"
-                "      value1\n"
-                "    </parameter>\n"
-                "    <parameter=param_2_name>\n"
-                "      value2\n"
-                "    </parameter>\n"
-                "    <parameter=param3>\n"
-                "      123\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Very deeply nested XML content in parameter
-        common_chat_msg expected_deep_xml;
-        expected_deep_xml.role = "assistant";
-        expected_deep_xml.tool_calls = {
-            { "xml_parser", "{\"xml\":\"<root><level1><level2><level3>deep content</level3></level2></level1></root>\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_deep_xml,
-                "<tool_call>\n"
-                "  <function=xml_parser>\n"
-                "    <parameter=xml>\n"
-                "      <root><level1><level2><level3>deep content</level3></level2></level1></root>\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Parameter with only whitespace
-        common_chat_msg expected_whitespace_param;
-        expected_whitespace_param.role = "assistant";
-        expected_whitespace_param.tool_calls = {
-            { "whitespace_function", "{\"spaces\":\"\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_whitespace_param,
-                "<tool_call>\n"
-                "  <function=whitespace_function>\n"
-                "    <parameter=spaces>\n"
-                "      \n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Parameter with tabs and mixed whitespace
-        common_chat_msg expected_mixed_whitespace;
-        expected_mixed_whitespace.role = "assistant";
-        expected_mixed_whitespace.tool_calls = {
-            { "tab_function", "{\"content\":\"line1\\n\\tindented line\\n    spaces\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_mixed_whitespace,
-                "<tool_call>\n"
-                "  <function=tab_function>\n"
-                "    <parameter=content>\n"
-                "line1\n"
-                "\tindented line\n"
-                "    spaces\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Control characters and special Unicode
-        common_chat_msg expected_control_chars;
-        expected_control_chars.role = "assistant";
-        expected_control_chars.tool_calls = {
-            { "control_function", "{\"text\":\"Line1\\nLine2\\tTabbed\\rCarriage return\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_control_chars,
-                "<tool_call>\n"
-                "  <function=control_function>\n"
-                "    <parameter=text>\n"
-                "Line1\nLine2\tTabbed\rCarriage return\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Emoji and extended Unicode characters
-        common_chat_msg expected_emoji;
-        expected_emoji.role = "assistant";
-        expected_emoji.tool_calls = {
-            { "emoji_function", "{\"message\":\"Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_emoji,
-                "<tool_call>\n"
-                "  <function=emoji_function>\n"
-                "    <parameter=message>\n"
-                "      Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Mathematical expressions and formulas
-        common_chat_msg expected_math;
-        expected_math.role = "assistant";
-        expected_math.tool_calls = {
-            { "math_function", "{\"formula\":\"E = mc² and ∫f(x)dx = F(x) + C\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_math,
-                "<tool_call>\n"
-                "  <function=math_function>\n"
-                "    <parameter=formula>\n"
-                "      E = mc² and ∫f(x)dx = F(x) + C\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // SQL injection-like content (should be safely escaped)
-        common_chat_msg expected_sql;
-        expected_sql.role = "assistant";
-        expected_sql.tool_calls = {
-            { "sql_function", "{\"query\":\"SELECT * FROM users WHERE id = 1; DROP TABLE users; --\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_sql,
-                "<tool_call>\n"
-                "  <function=sql_function>\n"
-                "    <parameter=query>\n"
-                "      SELECT * FROM users WHERE id = 1; DROP TABLE users; --\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // HTML/XML injection content
-        common_chat_msg expected_html;
-        expected_html.role = "assistant";
-        expected_html.tool_calls = {
-            { "html_function", "{\"content\":\"<script>alert('xss')</script><img src=x onerror=alert(1)>\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_html,
-                "<tool_call>\n"
-                "  <function=html_function>\n"
-                "    <parameter=content>\n"
-                "      <script>alert('xss')</script><img src=x onerror=alert(1)>\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Binary-like content (base64)
-        common_chat_msg expected_binary;
-        expected_binary.role = "assistant";
-        expected_binary.tool_calls = {
-            { "binary_function", "{\"data\":\"SGVsbG8gV29ybGQhIFRoaXMgaXMgYmFzZTY0IGVuY29kZWQgdGV4dC4=\"}", "" }
-        };
-
-        test_parser_with_streaming(
-            expected_binary,
-                "<tool_call>\n"
-                "  <function=binary_function>\n"
-                "    <parameter=data>\n"
-                "      SGVsbG8gV29ybGQhIFRoaXMgaXMgYmFzZTY0IGVuY29kZWQgdGV4dC4=\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
-
-        // Very large numbers (should be parsed as scientific notation)
-        common_chat_msg expected_large_numbers;
-        expected_large_numbers.role = "assistant";
-        expected_large_numbers.tool_calls = {
-            { "number_function", "{\"big_int\":1e+60}", "" }  // Large number becomes scientific notation
-        };
+        auto tst = peg_tester("models/templates/Mistral-Small-3.2-24B-Instruct-2506.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("[TOOL_CALLS]special_function[CALL_ID]123456789[ARGS]{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call_id)
+            .run();
+    }
+    // Devstral
+    {
+        auto tst = peg_tester("models/templates/unsloth-mistral-Devstral-Small-2507.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("[TOOL_CALLS]special_function[ARGS]{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+        tst.test("Hello, world!\nWhat's up?[TOOL_CALLS]special_function[ARGS]{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call_content)
+            .run();
+    }
 
-        test_parser_with_streaming(
-            expected_large_numbers,
-                "<tool_call>\n"
-                "  <function=number_function>\n"
-                "    <parameter=big_int>\n"
-                "      999999999999999999999999999999999999999999999999999999999999\n"
-                "    </parameter>\n"
-                "  </function>\n"
-                "</tool_call>",
-            [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); });
+    {
+        // Llama 3.1
+        auto tst = peg_tester("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).run();
     }
 
     {
-        // Qwen3-Coder template
-        auto tmpls = read_templates("models/templates/Qwen3-Coder.jinja");
-        common_chat_templates_inputs inputs;
-        inputs.messages = { message_user };
+        // Llama 3.2
+        auto tst = peg_tester("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).run();
+    }
 
-        common_chat_tool qwen_union_tool {
-            /* .name = */ "qwen_union",
-            /* .description = */ "Test tool for union/anyOf handling",
-            /* .parameters = */ R"({
-                "type": "object",
-                "properties": {
-                    "priority": { "type": ["number", "null"] },
-                    "maybe_text": { "anyOf": [ { "type": "string" } ] },
-                    "config": { "anyOf": [ { "type": "object" }, { "type": "null" } ] }
-                },
-                "required": []
-            })",
-        };
-        inputs.tools = { qwen_union_tool };
+    {
+        // Llama 3.3
+        auto tst = peg_tester("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").tools({ python_tool }).expect(message_assist).run();
+    }
 
-        auto params = common_chat_templates_apply(tmpls.get(), inputs);
-        assert_equals(COMMON_CHAT_FORMAT_QWEN3_CODER_XML, params.format);
-        assert_equals(false, params.grammar.empty());
+    // GPT-OSS format tests
+    {
+        auto tst = peg_tester("models/templates/openai-gpt-oss-120b.jinja", detailed_debug);
+
+        // Basic content only - final channel
+        tst.test("<|channel|>final<|message|>Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        // Basic content only - commentary channel
+        tst.test("<|channel|>commentary<|message|>Hello, world!\nWhat's up?").expect(message_assist).run();
+
+        // Analysis channel (reasoning) with final channel (content)
+        tst.test(
+               "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n<|channel|>final<|message|>Hello, world!\nWhat's "
+               "up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // Analysis channel only (partial) - still works when reasoning format is set
+        tst.test("<|channel|>analysis<|message|>I'm\nthinking")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .is_partial(true)
+            .expect_reasoning("I'm\nthinking")
+            .run();
+
+        // Reasoning format none - reasoning stays in content
+        tst.test(
+               "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n<|channel|>final<|message|>Hello, world!\nWhat's "
+               "up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_NONE)
+            .expect_content(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?")
+            .run();
+
+        // Tool call with recipient in role header: " to=functions.NAME<|channel|>analysis<|message|>JSON"
+        tst.test(" to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with recipient in channel header: "<|channel|>analysis to=functions.NAME<|message|>JSON"
+        tst.test("<|channel|>analysis to=functions.special_function<|message|>{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with constraint: " to=functions.NAME<|channel|>analysis <|constrain|>json<|message|>JSON"
+        tst.test(" to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call in commentary channel (channel header variant)
+        tst.test("<|channel|>commentary to=functions.special_function<|message|>{\"arg1\": 1}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with reasoning + content (analysis first, then tool call)
+        tst.test(
+               "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n"
+               "<|start|>assistant to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        // Tool calling with extra channel before
+        tst.test(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>commentary"
+                " to=functions.special_function <|message|>{\"arg1\": 1}")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        // Reasoning after final channel
+        // Tool calling after final channel
+        tst.test(
+            "<|channel|>final<|message|><|end|>"
+            "<|start|>assistant<|channel|>analysis<|message|>Thinking about edit..."
+        )
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect_reasoning("Thinking about edit...")
+            .expect_content("")
+            .run();
+
+        // Tool calling after final channel
+        tst.test(
+            "<|channel|>final<|message|><|end|>"
+            "<|start|>assistant<|channel|>analysis<|message|>Thinking about edit...<|end|>"
+            "<|start|>assistant<|channel|>commentary to=functions.edit <|constrain|>json"
+            "<|message|>{\"oldString\": \"if (part < railCount - 1) {\", \"newString\": \"if (part < 4) {\", \"replaceAll\": false}"
+            )
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                {
+                    /* .name = */ "edit",
+                    /* .description = */ "Edit a file",
+                    /* .parameters = */ R"({
+                        "type": "object",
+                        "properties": {
+                            "oldString": {
+                                "type": "string",
+                                "description": "Old string to replace."
+                            },
+                            "newString": {
+                                "type": "string",
+                                "description": "New replacement string."
+                            },
+                            "replaceAll": {
+                                "type": "boolean",
+                                "description": "Whether to replace all occurences."
+                            }
+                        },
+                        "required": ["oldString", "newString"]
+                    })",
+                }
+            })
+            .expect_reasoning("Thinking about edit...")
+            .expect_tool_calls({
+                { "edit", R"({"oldString": "if (part < railCount - 1) {", "newString": "if (part < 4) {", "replaceAll": false})", {} }
+            })
+            .run();
+
+        // Parallel tool calls
+        tst.test(
+               " to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}\n"
+               "<|start|>assistant to=functions.special_function_with_opt<|channel|>analysis<|message|>{\"arg1\": 1, "
+               "\"arg2\": 2}")
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+        })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+    }
 
-        // Grammar should compile successfully
-        auto grammar = build_grammar(params.grammar);
-        GGML_ASSERT(grammar && "Failed to build Qwen3-Coder grammar with union types");
+    {
+        auto tst = peg_tester("models/templates/StepFun3.5-Flash.jinja", detailed_debug);
+        tst.test("I was thinking</think>\nNow I'm not.").
+            enable_thinking(true).
+            reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK).
+            expect_reasoning("I was thinking").
+            expect_content("Now I'm not.")
+        .run();
+
+        // Test that numeric-looking string values are coerced to strings per the schema
+        tst.test(
+               "Let me call the magic tool\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=magic>\n"
+               "<parameter=name>\nfooBar\n</parameter>\n"
+               "<parameter=ref>\n5123123\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ magic_tool })
+            .expect_reasoning("Let me call the magic tool")
+            .expect_tool_calls({
+                { "magic", R"({"name": "fooBar", "ref": "5123123"})", {} },
+            })
+            .run();
+
+        // Test that numeric values are correctly interpreted as numbers when schema calls for number
+        tst.test(
+               "Let me call the special function\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n42555916\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect_reasoning("Let me call the special function")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 42555916})", {} },
+            })
+            .run();
+
+        tst.test(
+               "Let me call the special function with opt\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=special_function_with_opt>\n"
+               "<parameter=arg1>\n42555916\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool_with_optional_param })
+            .expect_reasoning("Let me call the special function with opt")
+            .expect_tool_calls({
+                { "special_function_with_opt", R"({"arg1": 42555916})", {} },
+            })
+            .run();
+
+        tst.test(
+               "Let me call the magic_int function\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=magic_int>\n"
+               "<parameter=ref>\n42555916\n</parameter>\n"
+               "<parameter=name>\nbaz\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ magic_int_tool })
+            .expect_reasoning("Let me call the magic_int function")
+            .expect_tool_calls({
+                { "magic_int", R"({"ref": 42555916, "name": "baz"})", {} },
+            })
+            .run();
+
+        tst.test(
+               "Call string_param with empty text\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=string_param>\n"
+               "<parameter=text>\n\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ string_param_tool })
+            .expect_reasoning("Call string_param with empty text")
+            .expect_tool_calls({
+                { "string_param", R"({"text": ""})", {} },
+            })
+            .run();
+
+        tst.test(
+               "Test simple quoted unquoted\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=quoted_unquoted>\n"
+               "<parameter=quoted>\n\"foo\"\n</parameter>\n"
+               "<parameter=unquoted>\nfoo\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ quoted_unquoted_tool })
+            .expect_reasoning("Test simple quoted unquoted")
+            .expect_tool_calls({
+                { "quoted_unquoted", R"({"quoted": "\"foo\"", "unquoted": "foo"})", {} },
+            })
+            .run();
+
+        tst.test(
+               "Test complex quoted unquoted\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=quoted_unquoted>\n"
+               "<parameter=quoted>\n\"printf(\\\"foo\\\");\"\n</parameter>\n"
+               "<parameter=unquoted>\nprintf(\"foo\");\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ quoted_unquoted_tool })
+            .expect_reasoning("Test complex quoted unquoted")
+            .expect_tool_calls({
+                { "quoted_unquoted", R"({ "quoted" : "\"printf(\\\"foo\\\");\"", "unquoted": "printf(\"foo\");" })", {} }
+            })
+            .run();
+
+            tst.test(
+               "Test negative number\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=magic_int>\n"
+               "<parameter=ref>\n-14\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ magic_int_tool })
+            .expect_reasoning("Test negative number")
+            .expect_tool_calls({
+                { "magic_int", R"({ "ref" : -14 })", {} }
+            })
+            .run();
+
+            tst.test(
+               "Test decimal number\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=amount>\n"
+               "<parameter=orig>\n3.14\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ amount_tool })
+            .expect_reasoning("Test decimal number")
+            .expect_tool_calls({
+                { "amount", R"({ "orig" : 3.14 })", {} }
+            })
+            .run();
+
+            tst.test(
+               "Test imaginary number\n"
+               "</think>\n"
+               "<tool_call>\n"
+               "<function=imaginary_number>\n"
+               "<parameter=number>\n"
+               "{ \"real\": 3.14, \"imaginary\": 2.71 }\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ imaginary_number_tool })
+            .expect_reasoning("Test imaginary number")
+            .expect_tool_calls({
+                { "imaginary_number", R"({ "number" : {"real":3.14,"imaginary":2.71 } })", {} }
+            })
+            .run();
+
+    }
+
+    // GigaChat V3
+    {
+        auto tst = peg_tester("models/templates/GigaChat3-10B-A1.8B.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("<|message_sep|>\n\nfunction call<|role_sep|>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+            "Hello, world!\nWhat's up?"
+            "<|message_sep|>\n\nfunction call<|role_sep|>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}"
+        )
+            .tools({ special_function_tool })
+            .expect(message_assist_call_content)
+            .run();
+    }
+
+    // GigaChat V3.1
+    {
+        auto tst = peg_tester("models/templates/GigaChat3.1-10B-A1.8B.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
+        tst.test("<|function_call|>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}")
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        tst.test(
+            "Hello, world!\nWhat's up?"
+            "<|function_call|>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}"
+        )
+            .tools({ special_function_tool })
+            .expect(message_assist_call_content)
+            .run();
     }
 }
 
-static void test_template_output_peg_parsers() {
-    printf("[%s]\n", __func__);
+// Test the developer role to system workaround with a simple mock template
+static void test_developer_role_to_system_workaround() {
+    LOG_DBG("%s\n", __func__);
 
-    // JSON schemas
-    const char * invoice_schema = R"({
-        "type": "object",
-        "properties": {
-            "amount": {"type": "number"},
-            "date": {"type": "string"}
-        }
-    })";
+    // Simple mock template that supports system role
+    const std::string mock_template =
+        "{%- for message in messages -%}\n"
+        "  {{- '<|' + message.role + '|>' + message.content + '<|end|>' -}}\n"
+        "{%- endfor -%}\n"
+        "{%- if add_generation_prompt -%}\n"
+        "  {{- '<|assistant|>' -}}\n"
+        "{%- endif -%}";
 
-    {
-        // Ministral-3-14B-Reasoning-2512
-        auto tmpls = read_templates("models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja");
-
-        // Test basic message
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "Hello, world!\nWhat's up?";
-            t.expect = message_assist;
-        });
-
-        // Test basic message and reasoning with reasoning_format = none
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?";
-            t.expect.content = "[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?";
-        });
-
-        // Test basic message and reasoning with reasoning_format = auto
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-
-            t.expect = message_assist_thoughts;
-        });
-
-        // Test tool call
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.tools = {special_function_tool};
-
-            t.expect = message_assist_call;
-        });
-
-        // Test tool call with reasoning
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "[THINK]I'm\nthinking[/THINK]"
-                      R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.tools = {special_function_tool};
-
-            t.expect = message_assist_call_thoughts;
-        });
-
-        // Test parallel tool calls
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})"
-                      R"([TOOL_CALLS]special_function_with_opt[ARGS]{"arg1": 1, "arg2": 2})";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.parallel_tool_calls = true;
-            t.params.tools = {special_function_tool, special_function_tool_with_optional_param};
-
-            t.expect.tool_calls = {{
-                /* .name = */      "special_function",
-                /* .arguments = */ R"({"arg1": 1})",
-                /* .id = */        {},
-            }, {
-                /* .name = */      "special_function_with_opt",
-                /* .arguments = */ R"({"arg1": 1, "arg2": 2})",
-                /* .id = */        {},
-            }};
-        });
-
-        // Test response format
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "[THINK]I need to output the invoice details in JSON[/THINK]"
-                      "```json\n"
-                      R"({"amount": 123.45, "date": "2025-12-03"})"
-                      "\n```";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.json_schema = invoice_schema;
-
-            t.expect.reasoning_content = "I need to output the invoice details in JSON";
-            t.expect.content =R"({"amount": 123.45, "date": "2025-12-03"})";
-        });
-    }
+    auto tmpls = common_chat_templates_ptr(common_chat_templates_init(/* model= */ nullptr, mock_template));
 
+    // Test case 1: Developer message - should be changed to system
+    // After simplification we only test this case
     {
-        // NVIDIA Nemotron-3 Nano
-        auto tmpls = read_templates("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja");
-
-        // Test basic message
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "Hello, world!\nWhat's up?";
-            t.expect = message_assist;
-        });
-
-        // Test basic message and reasoning with reasoning_format = none
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "I'm\nthinking\n</think>\nHello, world!\nWhat's up?";
-            t.expect.content = "I'm\nthinking\n</think>\nHello, world!\nWhat's up?";
-        });
-
-        // Test basic message and reasoning with reasoning_format = auto
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "I'm\nthinking\n</think>\nHello, world!\nWhat's up?";
-            t.params.enable_thinking = true;
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-
-            t.expect = message_assist_thoughts;
-        });
-
-        // Test tool call
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input =
-                "<tool_call>\n"
-                "<function=special_function>\n"
-                "<parameter=arg1>\n"
-                "1\n"
-                "</parameter>\n"
-                "</function>\n"
-                "</tool_call>";
-            t.params.enable_thinking = false;
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.tools = {special_function_tool};
-
-            t.expect = message_assist_call;
-        });
-
-        // Test tool call with reasoning
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input =
-                "I'm\nthinking\n</think>\n"
-                "<tool_call>\n"
-                "<function=special_function>\n"
-                "<parameter=arg1>\n"
-                "1\n"
-                "</parameter>\n"
-                "</function>\n"
-                "</tool_call>";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.tools = {special_function_tool};
-
-            t.expect = message_assist_call_thoughts;
-        });
-
-        // Test parallel tool calls
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input =
-                "<tool_call>\n"
-                "<function=special_function>\n"
-                "<parameter=arg1>\n"
-                "1\n"
-                "</parameter>\n"
-                "</function>\n"
-                "</tool_call>\n"
-                "<tool_call>\n"
-                "<function=special_function_with_opt>\n"
-                "<parameter=arg1>\n"
-                "1\n"
-                "</parameter>\n"
-                "<parameter=arg2>\n"
-                "2\n"
-                "</parameter>\n"
-                "</function>\n"
-                "</tool_call>";
-            t.params.enable_thinking = false;
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.parallel_tool_calls = true;
-            t.params.tools = {special_function_tool, special_function_tool_with_optional_param};
-
-            t.expect.tool_calls = {{
-                /* .name = */      "special_function",
-                /* .arguments = */ R"({"arg1": 1})",
-                /* .id = */        {},
-            }, {
-                /* .name = */      "special_function_with_opt",
-                /* .arguments = */ R"({"arg1": 1, "arg2": 2})",
-                /* .id = */        {},
-            }};
-        });
-
-        // Test tool call with string parameter
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input =
-                "<tool_call>\n"
-                "<function=python>\n"
-                "<parameter=code>\n"
-                "def hello():\n"
-                "    print(\"Hello, world!\")\n"
-                "\n"
-                "hello()\n"
-                "</parameter>\n"
-                "</function>\n"
-                "</tool_call>";
-            t.params.enable_thinking = false;
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.tools = {python_tool};
-
-            t.expect.tool_calls = {{
-                /* .name = */      "python",
-                /* .arguments = */ "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}",
-                /* .id = */        {},
-            }};
-        });
-
-        // Test tool call with string parameter and no closing </parameter> tag
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input =
-                "<tool_call>\n"
-                "<function=python>\n"
-                "<parameter=code>\n"
-                "def hello():\n"
-                "    print(\"Hello, world!\")\n"
-                "\n"
-                "hello()\n"
-                "</function>\n"
-                "</tool_call>";
-            t.params.enable_thinking = false;
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.tools = {python_tool};
-
-            t.expect.tool_calls = {{
-                /* .name = */      "python",
-                /* .arguments = */ "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}",
-                /* .id = */        {},
-            }};
-        });
-
-        // Test response format
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input =
-              "I need to output the invoice details in JSON\n"
-              "</think>\n"
-              R"({"amount": 123.45, "date": "2025-12-03"})";
-            t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
-            t.params.json_schema = invoice_schema;
-
-            t.expect.reasoning_content = "I need to output the invoice details in JSON";
-            t.expect.content = R"({"amount": 123.45, "date": "2025-12-03"})";
-        });
-    }
+        common_chat_templates_inputs inputs;
+        common_chat_msg developer_msg;
+        developer_msg.role = "developer";
+        developer_msg.content = "You are a helpful developer assistant.";
+        inputs.messages = { developer_msg };
+        inputs.add_generation_prompt = false;
 
-    {
-        // Solar-Open-100B
-        auto tmpls = read_templates("models/templates/upstage-Solar-Open-100B.jinja");
-
-        // Test basic message
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|content|>Hello, world!\nWhat's up?";
-            t.expect = message_assist;
-        });
-
-        // Test basic message and reasoning
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|think|>I'm\nthinking<|end|><|begin|>assistant<|content|>Hello, world!\nWhat's up?";
-            t.expect = message_assist_thoughts;
-        });
-
-        // Test basic message and reasoning_effort = low
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|content|>Hello, world!\nWhat's up?";
-            t.params.chat_template_kwargs["reasoning_effort"] = "\"low\"";
-            t.expect = message_assist;
-        });
-
-        // Test tool call
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|tool_calls|>"
-                      "<|tool_call:begin|>123456789"
-                      "<|tool_call:name|>special_function"
-                      "<|tool_call:args|>{\"arg1\":1}"
-                      "<|tool_call:end|>";
-
-            t.params.chat_template_kwargs["reasoning_effort"] = "\"low\"";
-            t.params.tools = {special_function_tool};
-            t.expect = message_assist_call_id;
-        });
-
-        // Test tool call with reasoning
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|think|>I'm\nthinking<|end|>"
-                      "<|begin|>assistant<|tool_calls|>"
-                      "<|tool_call:begin|>0"
-                      "<|tool_call:name|>special_function"
-                      "<|tool_call:args|>{\"arg1\":1}"
-                      "<|tool_call:end|>";
-
-            t.params.tools = {special_function_tool};
-            t.expect = message_assist_thoughts_call_idx;
-        });
-
-        // Test tool call with reasoning and tool_choice = required
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|think|>I'm\nthinking<|end|>"
-                      "<|begin|>assistant<|tool_calls|>"
-                      "<|tool_call:begin|>0"
-                      "<|tool_call:name|>special_function"
-                      "<|tool_call:args|>{\"arg1\":1}"
-                      "<|tool_call:end|>";
-
-            t.params.tools = {special_function_tool};
-            t.params.tool_choice = COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-            t.expect = message_assist_thoughts_call_idx;
-        });
-
-        // Test tool call without reasoning and tool_choice = required
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|tool_calls|>"
-                      "<|tool_call:begin|>0"
-                      "<|tool_call:name|>special_function"
-                      "<|tool_call:args|>{\"arg1\":1}"
-                      "<|tool_call:end|>";
-
-            t.params.tools = {special_function_tool};
-            t.params.tool_choice = COMMON_CHAT_TOOL_CHOICE_REQUIRED;
-            t.params.chat_template_kwargs["reasoning_effort"] = "\"low\"";
-            t.expect = message_assist_call_idx;
-        });
-
-        // Test parallel tool calls
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|think|>I'm\nthinking<|end|>"
-                      "<|begin|>assistant<|tool_calls|>"
-                      "<|tool_call:begin|>0"
-                      "<|tool_call:name|>special_function"
-                      "<|tool_call:args|>{\"arg1\":1}"
-                      "<|tool_call:end|>"
-                      "<|tool_call:begin|>1"
-                      "<|tool_call:name|>special_function_with_opt"
-                      "<|tool_call:args|>{\"arg1\": 1, \"arg2\": 2}"
-                      "<|tool_call:end|>";
-
-            t.params.parallel_tool_calls = true;
-            t.params.tools = {special_function_tool, special_function_tool_with_optional_param};
-
-            t.expect.reasoning_content = "I'm\nthinking";
-            t.expect.tool_calls = {{
-                /* .name = */      "special_function",
-                /* .arguments = */ R"({"arg1": 1})",
-                /* .id = */        "0",
-            }, {
-                /* .name = */      "special_function_with_opt",
-                /* .arguments = */ R"({"arg1": 1, "arg2": 2})",
-                /* .id = */        "1",
-            }};
-        });
-
-        // Test response format
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|think|>I need to output the invoice details in JSON<|end|>"
-                      "<|begin|>assistant<|content|>"
-                      R"({"amount": 123.45, "date": "2025-12-03"})";
-
-            t.params.json_schema = invoice_schema;
-
-            t.expect.reasoning_content = "I need to output the invoice details in JSON";
-            t.expect.content =R"({"amount": 123.45, "date": "2025-12-03"})";
-        });
-
-        // Test response format no reasoning
-        test_peg_parser(tmpls.get(), [&](auto & t) {
-            t.input = "<|content|>"
-                      R"({"amount": 123.45, "date": "2025-12-03"})";
-
-            t.params.chat_template_kwargs["reasoning_effort"] = "\"low\"";
-            t.params.json_schema = invoice_schema;
-
-            t.expect.content =R"({"amount": 123.45, "date": "2025-12-03"})";
-        });
+        auto params = common_chat_templates_apply(tmpls.get(), inputs);
+
+        // The developer role should have been changed to system
+        if (params.prompt.find("<|developer|>") != std::string::npos) {
+            throw std::runtime_error("Test failed: developer role was not changed to system");
+        }
+        if (params.prompt.find("<|system|>You are a helpful developer assistant.<|end|>") == std::string::npos) {
+            throw std::runtime_error("Test failed: system message not found in output");
+        }
+        LOG_ERR("Test 1 passed: developer role changed to system\n");
     }
 }
 
 static void test_msg_diffs_compute() {
-    printf("[%s]\n", __func__);
+    LOG_DBG("%s\n", __func__);
     {
         common_chat_msg msg1;
 
@@ -3940,9 +2852,7 @@ static void test_msg_diffs_compute() {
         common_chat_msg_diff diff;
         diff.content_delta = "Hello, world!";
 
-        assert_equals(
-            {diff},
-            common_chat_msg_diff::compute_diffs(msg1, msg2));
+        assert_equals({ diff }, common_chat_msg_diff::compute_diffs(msg1, msg2));
     }
     {
         common_chat_msg msg1;
@@ -3954,37 +2864,35 @@ static void test_msg_diffs_compute() {
         common_chat_msg_diff diff;
         diff.content_delta = " world!";
 
-        assert_equals(
-            {diff},
-            common_chat_msg_diff::compute_diffs(msg1, msg2));
+        assert_equals({ diff }, common_chat_msg_diff::compute_diffs(msg1, msg2));
     }
     {
         common_chat_msg msg0;
 
         common_chat_msg msg1;
-        msg1.tool_calls = { { "special_function", "{\"ar", /* .id = */ "123" } };
+        msg1.tool_calls = {
+            { "special_function", "{\"ar", /* .id = */ "123" }
+        };
 
         common_chat_msg msg2;
-        msg2.tool_calls = { { "special_function", "{\"arg1\": 1}", /* .id = */ "123" } };
+        msg2.tool_calls = {
+            { "special_function", "{\"arg1\": 1}", /* .id = */ "123" }
+        };
 
         common_chat_msg_diff diff01;
-        diff01.tool_call_index = 0;
-        diff01.tool_call_delta.name = "special_function";
-        diff01.tool_call_delta.id = "123";
+        diff01.tool_call_index           = 0;
+        diff01.tool_call_delta.name      = "special_function";
+        diff01.tool_call_delta.id        = "123";
         diff01.tool_call_delta.arguments = "{\"ar";
 
-        assert_equals(
-            {diff01},
-            common_chat_msg_diff::compute_diffs(msg0, msg1));
+        assert_equals({ diff01 }, common_chat_msg_diff::compute_diffs(msg0, msg1));
 
         common_chat_msg_diff diff12;
-        diff12.tool_call_index = 0;
+        diff12.tool_call_index           = 0;
         // Note: neither id nor name change here.
         diff12.tool_call_delta.arguments = "g1\": 1}";
 
-        assert_equals(
-            {diff12},
-            common_chat_msg_diff::compute_diffs(msg1, msg2));
+        assert_equals({ diff12 }, common_chat_msg_diff::compute_diffs(msg1, msg2));
     }
     {
         common_chat_msg msg0;
@@ -3996,68 +2904,82 @@ static void test_msg_diffs_compute() {
         };
 
         common_chat_msg_diff diff1;
-        diff1.tool_call_index = 0;
-        diff1.tool_call_delta.name = "f1";
-        diff1.tool_call_delta.id = "123";
+        diff1.tool_call_index           = 0;
+        diff1.tool_call_delta.name      = "f1";
+        diff1.tool_call_delta.id        = "123";
         diff1.tool_call_delta.arguments = "{\"arg1\": 1}";
 
         common_chat_msg_diff diff2;
-        diff2.tool_call_index = 1;
-        diff2.tool_call_delta.name = "f2";
-        diff2.tool_call_delta.id = "222";
+        diff2.tool_call_index           = 1;
+        diff2.tool_call_delta.name      = "f2";
+        diff2.tool_call_delta.id        = "222";
         diff2.tool_call_delta.arguments = "{\"arg2\": 2}";
 
-        assert_equals(
-            {diff1, diff2},
-            common_chat_msg_diff::compute_diffs(msg0, msg2));
+        assert_equals({ diff1, diff2 }, common_chat_msg_diff::compute_diffs(msg0, msg2));
     }
 }
 
 int main(int argc, char ** argv) {
-    common_log_set_verbosity_thold(999);
+    bool detailed_debug    = false;
+    bool only_run_filtered = false;
+
+    // Check for --template flag
+    for (int i = 1; i < argc; i++) {
+        std::string arg = argv[i];
+        if (arg == "--template" && i + 1 < argc) {
+            g_template_filter = argv[++i];
+            // Only run PEG parser tests with the filter
+            only_run_filtered = true;
+        }
+        if (arg == "--detailed") {
+            detailed_debug = true;
+            common_log_set_verbosity_thold(999);
+        }
+    }
+
+    if (only_run_filtered) {
+        test_template_output_peg_parsers(detailed_debug);
+        std::cout << "\n[chat] All template tests passed!" << '\n';
+        return 0;
+    }
 
-    // try {
 #ifndef _WIN32
-        if (argc > 1) {
-            common_chat_templates_inputs inputs;
-            common_chat_msg msg;
-            msg.role = "user";
-            msg.content = "Hey";
-            inputs.messages = {msg};
-            inputs.tools = { special_function_tool };
-
-            std::cout << "| Template | Format |\n";
-            std::cout << "|----------|--------|\n";
-
-            for (int i = 1; i < argc; i++) {
-                try {
-                    std::string path = argv[i];
-                    if (path.rfind(".jinja") != path.size() - 6) {
-                        std::cerr << "Skipping non-jinja file: " << path << '\n';
-                        continue;
-                    }
-                    auto tmpls = read_templates(path);
-                    auto parts  = string_split(path, "/");
-                    auto name   = parts[parts.size() - 1];
-                    auto format = common_chat_format_name(common_chat_templates_apply(tmpls.get(), inputs).format);
-                    std::cout << "| " << name << " | " << format << " |\n";
-                } catch (const std::exception & e) {
-                    std::cerr << "Failed to process " << argv[i] << ": " << e.what() << '\n';
+    if (argc > 1) {
+        common_chat_templates_inputs inputs;
+        common_chat_msg              msg;
+        msg.role        = "user";
+        msg.content     = "Hey";
+        inputs.messages = { msg };
+        inputs.tools    = { special_function_tool };
+
+        std::cout << "| Template | Format |\n";
+        std::cout << "|----------|--------|\n";
+
+        for (int i = 1; i < argc; i++) {
+            try {
+                std::string path = argv[i];
+                if (path.rfind(".jinja") != path.size() - 6) {
+                    std::cerr << "Skipping non-jinja file: " << path << '\n';
+                    continue;
                 }
+                auto         tmpls  = read_templates(path);
+                auto         parts  = string_split(path, "/");
+                const auto & name   = parts[parts.size() - 1];
+                const auto * format = common_chat_format_name(common_chat_templates_apply(tmpls.get(), inputs).format);
+                std::cout << "| " << name << " | " << format << " |\n";
+            } catch (const std::exception & e) {
+                std::cerr << "Failed to process " << argv[i] << ": " << e.what() << '\n';
             }
-        } else
-#endif
-        {
-            test_msg_diffs_compute();
-            test_msgs_oaicompat_json_conversion();
-            test_tools_oaicompat_json_conversion();
-            test_template_output_parsers();
-            test_template_output_peg_parsers();
-            std::cout << "\n[chat] All tests passed!" << '\n';
         }
-        return 0;
-    // } catch (const std::exception & e) {
-    //     std::cerr << "Error: " << e.what() << '\n';
-    //     return 1;
-    // }
+    } else
+#endif
+    {
+        test_msg_diffs_compute();
+        test_msgs_oaicompat_json_conversion();
+        test_tools_oaicompat_json_conversion();
+        test_developer_role_to_system_workaround();
+        test_template_output_peg_parsers(detailed_debug);
+        std::cout << "\n[chat] All tests passed!" << '\n';
+    }
+    return 0;
 }
diff --git a/tests/test-gguf-model-data.cpp b/tests/test-gguf-model-data.cpp
new file mode 100644
index 00000000000..cc0174961d3
--- /dev/null
+++ b/tests/test-gguf-model-data.cpp
@@ -0,0 +1,121 @@
+#include "gguf-model-data.h"
+
+#include <cstdio>
+
+#define TEST_ASSERT(cond, msg) \
+    do { \
+        if (!(cond)) { \
+            fprintf(stderr, "FAIL: %s (line %d): %s\n", #cond, __LINE__, msg); \
+            return 1; \
+        } \
+    } while (0)
+
+int main() {
+    fprintf(stderr, "=== test-gguf-model-data ===\n");
+
+    // Fetch Qwen3-0.6B Q8_0 metadata
+    auto result = gguf_fetch_model_meta("ggml-org/Qwen3-0.6B-GGUF", "Q8_0");
+
+    if (!result.has_value()) {
+        fprintf(stderr, "SKIP: could not fetch model metadata (no network or HTTP disabled)\n");
+        return 0;
+    }
+
+    const auto & model = result.value();
+
+    fprintf(stderr, "Architecture:  %s\n", model.architecture.c_str());
+    fprintf(stderr, "n_embd:        %u\n", model.n_embd);
+    fprintf(stderr, "n_ff:          %u\n", model.n_ff);
+    fprintf(stderr, "n_vocab:       %u\n", model.n_vocab);
+    fprintf(stderr, "n_layer:       %u\n", model.n_layer);
+    fprintf(stderr, "n_head:        %u\n", model.n_head);
+    fprintf(stderr, "n_head_kv:     %u\n", model.n_head_kv);
+    fprintf(stderr, "n_expert:      %u\n", model.n_expert);
+    fprintf(stderr, "n_embd_head_k: %u\n", model.n_embd_head_k);
+    fprintf(stderr, "n_embd_head_v: %u\n", model.n_embd_head_v);
+    fprintf(stderr, "tensors:       %zu\n", model.tensors.size());
+
+    // Verify architecture
+    TEST_ASSERT(model.architecture == "qwen3", "expected architecture 'qwen3'");
+
+    // Verify key dimensions (Qwen3-0.6B)
+    TEST_ASSERT(model.n_layer == 28, "expected n_layer == 28");
+    TEST_ASSERT(model.n_embd == 1024, "expected n_embd == 1024");
+    TEST_ASSERT(model.n_head == 16, "expected n_head == 16");
+    TEST_ASSERT(model.n_head_kv == 8, "expected n_head_kv == 8");
+    TEST_ASSERT(model.n_expert == 0, "expected n_expert == 0 (not MoE)");
+    TEST_ASSERT(model.n_vocab == 151936, "expected n_vocab == 151936");
+
+    // Verify tensor count
+    TEST_ASSERT(model.tensors.size() == 311, "expected tensor count == 311");
+
+    // Verify known tensor names exist
+    bool found_attn_q = false;
+    bool found_token_embd = false;
+    bool found_output_norm = false;
+    for (const auto & t : model.tensors) {
+        if (t.name == "blk.0.attn_q.weight") {
+            found_attn_q = true;
+        }
+        if (t.name == "token_embd.weight") {
+            found_token_embd = true;
+        }
+        if (t.name == "output_norm.weight") {
+            found_output_norm = true;
+        }
+    }
+    TEST_ASSERT(found_attn_q, "expected tensor 'blk.0.attn_q.weight'");
+    TEST_ASSERT(found_token_embd, "expected tensor 'token_embd.weight'");
+    TEST_ASSERT(found_output_norm, "expected tensor 'output_norm.weight'");
+
+    // Verify token_embd.weight shape
+    for (const auto & t : model.tensors) {
+        if (t.name == "token_embd.weight") {
+            TEST_ASSERT(t.ne[0] == 1024, "expected token_embd.weight ne[0] == 1024");
+            TEST_ASSERT(t.n_dims == 2, "expected token_embd.weight to be 2D");
+            break;
+        }
+    }
+
+    // Test that second call uses cache (just call again, it should work)
+    auto result2 = gguf_fetch_model_meta("ggml-org/Qwen3-0.6B-GGUF", "Q8_0");
+    TEST_ASSERT(result2.has_value(), "cached fetch should succeed");
+    TEST_ASSERT(result2->tensors.size() == model.tensors.size(), "cached result should match");
+
+    // Test a split MoE model without specifying quant (should default to Q8_0)
+    auto result3 = gguf_fetch_model_meta("ggml-org/GLM-4.6V-GGUF");
+    if (!result3.has_value()) {
+        fprintf(stderr, "SKIP: could not fetch GLM-4.6V metadata (no network?)\n");
+        return 0;
+    }
+    const auto & model3 = result3.value();
+
+    fprintf(stderr, "Architecture:  %s\n", model3.architecture.c_str());
+    fprintf(stderr, "n_embd:        %u\n", model3.n_embd);
+    fprintf(stderr, "n_ff:          %u\n", model3.n_ff);
+    fprintf(stderr, "n_vocab:       %u\n", model3.n_vocab);
+    fprintf(stderr, "n_layer:       %u\n", model3.n_layer);
+    fprintf(stderr, "n_head:        %u\n", model3.n_head);
+    fprintf(stderr, "n_head_kv:     %u\n", model3.n_head_kv);
+    fprintf(stderr, "n_expert:      %u\n", model3.n_expert);
+    fprintf(stderr, "n_embd_head_k: %u\n", model3.n_embd_head_k);
+    fprintf(stderr, "n_embd_head_v: %u\n", model3.n_embd_head_v);
+    fprintf(stderr, "tensors:       %zu\n", model3.tensors.size());
+
+    // Verify architecture
+    TEST_ASSERT(model3.architecture == "glm4moe", "expected architecture 'glm4moe'");
+
+    // Verify key dimensions (GLM-4.6V)
+    TEST_ASSERT(model3.n_layer == 46, "expected n_layer == 46");
+    TEST_ASSERT(model3.n_embd == 4096, "expected n_embd == 4096");
+    TEST_ASSERT(model3.n_head == 96, "expected n_head == 96");
+    TEST_ASSERT(model3.n_head_kv == 8, "expected n_head_kv == 8");
+    TEST_ASSERT(model3.n_expert == 128, "expected n_expert == 128 (MoE)");
+    TEST_ASSERT(model3.n_vocab == 151552, "expected n_vocab == 151552");
+
+    // Verify tensor count
+    TEST_ASSERT(model3.tensors.size() == 780, "expected tensor count == 780");
+
+    fprintf(stderr, "=== ALL TESTS PASSED ===\n");
+    return 0;
+}
diff --git a/tests/test-gguf.cpp b/tests/test-gguf.cpp
index 84b7f3bc491..8ebd16ba822 100644
--- a/tests/test-gguf.cpp
+++ b/tests/test-gguf.cpp
@@ -48,6 +48,7 @@ enum handcrafted_file_type {
     HANDCRAFTED_DATA_NOT_ENOUGH_DATA       =  10 + offset_has_data,
     HANDCRAFTED_DATA_BAD_ALIGN             =  15 + offset_has_data,
     HANDCRAFTED_DATA_INCONSISTENT_ALIGN    =  20 + offset_has_data,
+    HANDCRAFTED_DATA_MEM_SIZE_OVERFLOW     =  30 + offset_has_data,
     HANDCRAFTED_DATA_SUCCESS               = 800 + offset_has_data,
     HANDCRAFTED_DATA_CUSTOM_ALIGN          = 810 + offset_has_data,
 };
@@ -84,6 +85,7 @@ static std::string handcrafted_file_type_name(const enum handcrafted_file_type h
         case HANDCRAFTED_DATA_NOT_ENOUGH_DATA:       return "DATA_NOT_ENOUGH_DATA";
         case HANDCRAFTED_DATA_BAD_ALIGN:             return "DATA_BAD_ALIGN";
         case HANDCRAFTED_DATA_INCONSISTENT_ALIGN:    return "DATA_INCONSISTENT_ALIGN";
+        case HANDCRAFTED_DATA_MEM_SIZE_OVERFLOW:     return "DATA_MEM_SIZE_OVERFLOW";
         case HANDCRAFTED_DATA_SUCCESS:               return "DATA_SUCCESS";
         case HANDCRAFTED_DATA_CUSTOM_ALIGN:          return "DATA_CUSTOM_ALIGN";
     }
@@ -196,6 +198,13 @@ static FILE * get_handcrafted_file(const unsigned int seed, const enum handcraft
         tensor_configs = get_tensor_configs(rng);
     }
 
+    if (hft == HANDCRAFTED_DATA_MEM_SIZE_OVERFLOW) {
+        tensor_configs.resize(2);
+
+        tensor_configs[0] = { GGML_TYPE_I8, { 0x7FFFFFFFFFFFFFC0, 1, 1, 1 } };
+        tensor_configs[1] = { GGML_TYPE_I8, { 0x7FFFFFFFFFFFFFC0, 1, 1, 1 } };
+    }
+
     if (hft == HANDCRAFTED_HEADER_BAD_N_TENSORS) {
         const uint64_t n_tensors = -1;
         helper_write(file, n_tensors);
@@ -397,7 +406,8 @@ static FILE * get_handcrafted_file(const unsigned int seed, const enum handcraft
         for (uint32_t i = 1; i < n_dims; ++i) {
             ne *= shape[i];
         }
-        offset += GGML_PAD(ggml_row_size(type, ne), alignment);
+
+        offset += GGML_PAD(ggml_row_size(type, ne), (uint64_t) alignment);
     }
 
     while (ftell(file) % alignment != 0) {
@@ -411,6 +421,9 @@ static FILE * get_handcrafted_file(const unsigned int seed, const enum handcraft
         if (hft == HANDCRAFTED_DATA_NOT_ENOUGH_DATA) {
             nbytes -= 1;
         }
+        if (hft == HANDCRAFTED_DATA_MEM_SIZE_OVERFLOW) {
+            nbytes = 32;
+        }
         for (uint64_t i = 0; i < nbytes; ++i) {
             const uint8_t random_byte = i % 256;
             helper_write(file, random_byte);
@@ -704,6 +717,7 @@ static std::pair<int, int> test_handcrafted_file(const unsigned int seed) {
         HANDCRAFTED_DATA_NOT_ENOUGH_DATA,
         HANDCRAFTED_DATA_BAD_ALIGN,
         HANDCRAFTED_DATA_INCONSISTENT_ALIGN,
+        HANDCRAFTED_DATA_MEM_SIZE_OVERFLOW,
         HANDCRAFTED_DATA_SUCCESS,
         HANDCRAFTED_DATA_CUSTOM_ALIGN,
     };
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 7aa7e58a5c6..526470a224f 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -15,8 +15,12 @@
 
 using json = nlohmann::ordered_json;
 
+static llama_grammar * build_grammar_with_root(const std::string & grammar_str, const char * grammar_root) {
+    return llama_grammar_init_impl(nullptr, grammar_str.c_str(), grammar_root, false, nullptr, 0, nullptr, 0);
+}
+
 static llama_grammar * build_grammar(const std::string & grammar_str) {
-    return llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0);
+    return build_grammar_with_root(grammar_str, "root");
 }
 
 static bool test_build_grammar_fails(const std::string & grammar_str) {
@@ -860,6 +864,36 @@ static void test_failure_left_recursion() {
     fprintf(stderr, "  ✅︎ Passed\n");
 }
 
+static void test_failure_missing_root_symbol() {
+    fprintf(stderr, "⚫ Testing missing root symbol:\n");
+
+    const std::string grammar_str = R"""(
+        root ::= "foobar"
+    )""";
+
+    llama_grammar * failure_result = build_grammar_with_root(grammar_str, "nonexistent");
+    assert(failure_result == nullptr);
+
+    fprintf(stderr, "  ✅︎ Passed\n");
+}
+
+static void test_custom_root_symbol_check() {
+    fprintf(stderr, "⚫ Testing custom root symbol check:\n");
+
+    const std::string custom_root_grammar_str = R"""(
+        foobar ::= "foobar"
+    )""";
+
+    llama_grammar * failure_result = build_grammar_with_root(custom_root_grammar_str, "root");
+    assert(failure_result == nullptr);
+
+    llama_grammar * success_result = build_grammar_with_root(custom_root_grammar_str, "foobar");
+    assert(success_result != nullptr);
+    llama_grammar_free_impl(success_result);
+
+    fprintf(stderr, "  ✅︎ Passed\n");
+}
+
 static void test_json_schema() {
     // Note that this is similar to the regular grammar tests,
     //  but we convert each json schema to a grammar before parsing.
@@ -1433,6 +1467,8 @@ int main() {
     test_failure_missing_root();
     test_failure_missing_reference();
     test_failure_left_recursion();
+    test_failure_missing_root_symbol();
+    test_custom_root_symbol_check();
     test_json_schema();
     fprintf(stdout, "All tests passed.\n");
     return 0;
diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp
index 1f25c6ae71a..05ea8ca9e92 100644
--- a/tests/test-jinja.cpp
+++ b/tests/test-jinja.cpp
@@ -32,6 +32,7 @@ static void test_string_methods(testing & t);
 static void test_array_methods(testing & t);
 static void test_object_methods(testing & t);
 static void test_hasher(testing & t);
+static void test_stats(testing & t);
 static void test_fuzzing(testing & t);
 
 static bool g_python_mode = false;
@@ -70,6 +71,7 @@ int main(int argc, char *argv[]) {
     t.test("object methods", test_object_methods);
     if (!g_python_mode) {
         t.test("hasher", test_hasher);
+        t.test("stats", test_stats);
         t.test("fuzzing", test_fuzzing);
     }
 
@@ -691,6 +693,48 @@ static void test_filters(testing & t) {
         "{\n  \"a\": 1,\n  \"b\": [\n    1,\n    2\n  ]\n}"
     );
 
+    test_template(t, "indent",
+        "{{ data|indent(2) }}",
+        {{ "data", "foo\nbar" }},
+        "foo\n  bar"
+    );
+
+    test_template(t, "indent first only",
+        "{{ data|indent(width=3,first=true) }}",
+        {{ "data", "foo\nbar" }},
+        "   foo\n   bar"
+    );
+
+    test_template(t, "indent blank lines and first line",
+        "{{ data|indent(width=5,blank=true,first=true) }}",
+        {{ "data", "foo\n\nbar" }},
+        "     foo\n     \n     bar"
+    );
+
+    test_template(t, "indent with default width",
+        "{{ data|indent() }}",
+        {{ "data", "foo\nbar" }},
+        "foo\n    bar"
+    );
+
+    test_template(t, "indent with no newline",
+        "{{ data|indent }}",
+        {{ "data", "foo" }},
+        "foo"
+    );
+
+    test_template(t, "indent with trailing newline",
+        "{{ data|indent(blank=true) }}",
+        {{ "data", "foo\n" }},
+        "foo\n    "
+    );
+
+    test_template(t, "indent with string",
+        "{{ data|indent(width='>>>>') }}",
+        {{ "data", "foo\nbar" }},
+        "foo\n>>>>bar"
+    );
+
     test_template(t, "chained filters",
         "{{ '  HELLO  '|trim|lower }}",
         json::object(),
@@ -1753,6 +1797,63 @@ static void test_hasher(testing & t) {
     });
 }
 
+static void test_stats(testing & t) {
+    static auto get_stats = [](const std::string & tmpl, const json & vars) -> jinja::value {
+        jinja::lexer lexer;
+        auto lexer_res = lexer.tokenize(tmpl);
+
+        jinja::program prog = jinja::parse_from_tokens(lexer_res);
+
+        jinja::context ctx(tmpl);
+        jinja::global_from_json(ctx, json{{ "val", vars }}, true);
+        ctx.is_get_stats = true;
+
+        jinja::runtime runtime(ctx);
+        runtime.execute(prog);
+
+        return ctx.get_val("val");
+    };
+
+    t.test("stats", [](testing & t) {
+        jinja::value val = get_stats(
+            "{{val.num}} "
+            "{{val.str}} "
+            "{{val.arr[0]}} "
+            "{{val.obj.key1}} "
+            "{{val.nested | tojson}}",
+            // Note: the json below will be wrapped inside "val" in the context
+            json{
+                {"num", 1},
+                {"str", "abc"},
+                {"arr", json::array({1, 2, 3})},
+                {"obj", json::object({{"key1", 1}, {"key2", 2}, {"key3", 3}})},
+                {"nested", json::object({
+                    {"inner_key1", json::array({1, 2})},
+                    {"inner_key2", json::object({{"a", "x"}, {"b", "y"}})}
+                })},
+                {"mixed", json::object({
+                    {"used", 1},
+                    {"unused", 2},
+                })},
+            }
+        );
+
+        t.assert_true("num is used", val->at("num")->stats.used);
+        t.assert_true("str is used", val->at("str")->stats.used);
+
+        t.assert_true("arr is used", val->at("arr")->stats.used);
+        t.assert_true("arr[0] is used", val->at("arr")->at(0)->stats.used);
+        t.assert_true("arr[1] is not used", !val->at("arr")->at(1)->stats.used);
+
+        t.assert_true("obj is used", val->at("obj")->stats.used);
+        t.assert_true("obj.key1 is used", val->at("obj")->at("key1")->stats.used);
+        t.assert_true("obj.key2 is not used", !val->at("obj")->at("key2")->stats.used);
+
+        t.assert_true("inner_key1[0] is used", val->at("nested")->at("inner_key1")->at(0)->stats.used);
+        t.assert_true("inner_key2.a is used", val->at("nested")->at("inner_key2")->at("a")->stats.used);
+    });
+}
+
 static void test_template_cpp(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) {
     t.test(name, [&tmpl, &vars, &expect](testing & t) {
         jinja::lexer lexer;
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index a8e9ff33a43..ac697c4d246 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -569,6 +569,55 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         )"""
     });
 
+    test({
+        SUCCESS,
+        "array with empty items",
+        R"""({
+            "type": "array",
+            "items": {}
+        })""",
+        R"""(
+            array ::= "[" space ( value ("," space value)* )? "]" space
+            boolean ::= ("true" | "false") space
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
+            item ::= object
+            null ::= "null" space
+            number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
+            object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
+            root ::= "[" space (item ("," space item)*)? "]" space
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+            string ::= "\"" char* "\"" space
+            value ::= object | array | string | number | boolean | null
+        )"""
+    });
+
+    test({
+        SUCCESS,
+        "array with empty items and prefixItems",
+        R"""({
+            "type": "array",
+            "items": {},
+            "prefixItems": { "type": "string" }
+        })""",
+        R"""(
+            array ::= "[" space ( value ("," space value)* )? "]" space
+            boolean ::= ("true" | "false") space
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
+            item ::= object
+            null ::= "null" space
+            number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
+            object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
+            root ::= "[" space (item ("," space item)*)? "]" space
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+            string ::= "\"" char* "\"" space
+            value ::= object | array | string | number | boolean | null
+        )"""
+    });
+
     test({
         SUCCESS,
         "number",
@@ -1340,6 +1389,26 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         )"""
     });
 
+    test({
+        SUCCESS,
+        "description only (no type) treated as unconstrained",
+        R"""({"description": "The 0-based index of the last line to be retrieved (inclusive). If None, read until the end of the file."})""",
+        R"""(
+            array ::= "[" space ( value ("," space value)* )? "]" space
+            boolean ::= ("true" | "false") space
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
+            null ::= "null" space
+            number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
+            object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
+            root ::= value
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+            string ::= "\"" char* "\"" space
+            value ::= object | array | string | number | boolean | null
+        )"""
+    });
+
     test({
         SUCCESS,
         "literal string with escapes",
diff --git a/tests/test-llama-archs.cpp b/tests/test-llama-archs.cpp
new file mode 100644
index 00000000000..014b3f2b149
--- /dev/null
+++ b/tests/test-llama-archs.cpp
@@ -0,0 +1,532 @@
+#include "common.h"
+#include "log.h"
+#include "ggml-backend.h"
+#include "ggml.h"
+#include "gguf.h"
+#include "ggml-cpp.h"
+#include "llama.h"
+#include "llama-cpp.h"
+#include "../src/llama-arch.h"
+#include "../src/llama-model-saver.h"
+
+#include <cinttypes>
+#include <cstdio>
+#include <cstring>
+#include <cstdint>
+#include <random>
+#include <stdexcept>
+#include <string>
+#include <utility>
+#include <vector>
+
+// normalized mean squared error = mse(a, b) / mse(a, 0)
+static double nmse(const std::vector<float> & a, const std::vector<float> & b) {
+    GGML_ASSERT(a.size() == b.size());
+    double mse_a_b = 0.0;
+    double mse_a_0 = 0.0;
+
+    for (size_t i = 0; i < a.size(); i++) {
+        float a_i = a[i];
+        float b_i = b[i];
+
+        mse_a_b += (a_i - b_i) * (a_i - b_i);
+        mse_a_0 += a_i * a_i;
+    }
+
+    return mse_a_b / mse_a_0;
+}
+
+static void set_tensor_data(struct ggml_tensor * tensor, void * userdata) {
+    std::hash<std::string> hasher;
+    std::mt19937 gen(hasher(tensor->name) + *(const size_t *) userdata);
+    std::normal_distribution<float> dis(0.0f, 1.0e-2f);
+
+    const int64_t ne = ggml_nelements(tensor);
+    if (tensor->type == GGML_TYPE_F32) {
+        std::vector<float> tmp(ne);
+        for (int64_t i = 0; i < ne; i++) {
+            tmp[i] = dis(gen);
+        }
+        ggml_backend_tensor_set(tensor, tmp.data(), 0, ggml_nbytes(tensor));
+    } else if (tensor->type == GGML_TYPE_F16) {
+        std::vector<ggml_fp16_t> tmp(ne);
+        for (int64_t i = 0; i < ne; i++) {
+            tmp[i] = ggml_fp32_to_fp16(dis(gen));
+        }
+        ggml_backend_tensor_set(tensor, tmp.data(), 0, ggml_nbytes(tensor));
+    } else {
+        GGML_ABORT("fatal error");
+    }
+}
+
+static void usage(char ** argv) {
+    printf("Usage: %s [-a/--arch arch] [-s/--seed seed] [-v/--verbose]\n", argv[0]);
+}
+
+static std::vector<llama_token> get_tokens(const uint32_t n_tokens, const uint32_t n_vocab, const size_t seed){
+    std::mt19937 gen(seed);
+    std::uniform_int_distribution<> dis(0, n_vocab - 1);
+    std::vector<llama_token> ret;
+    ret.reserve(n_tokens);
+    for (uint32_t i = 0; i < n_tokens; i++) {
+        ret.push_back(dis(gen));
+    }
+    return ret;
+}
+
+static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
+    gguf_context_ptr ret(gguf_init_empty());
+    llama_model_saver ms(arch, ret.get());
+    const uint32_t n_ctx = 128;
+
+    uint32_t n_vocab = 128;
+    uint32_t n_embd  = 256;
+    uint32_t n_head  = 2;
+    uint32_t n_ff    = 384;
+    uint32_t n_layer = 2;
+    if (arch == LLM_ARCH_LLAMA4) {
+        n_layer = 4; // hparams.n_no_rope_layer_step is hard-coded to 4
+    } else if (arch == LLM_ARCH_GEMMA3N) {
+        n_embd = 64;
+        n_head = 1;
+        n_ff   = 96;
+    } else if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_KIMI_LINEAR) {
+        n_embd = 128;
+        n_head = 1;
+        n_ff   = 192;
+    } else if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) {
+        n_layer = 3;
+    } else if (arch == LLM_ARCH_CHAMELEON) {
+        n_vocab = 10240;
+    } else if (arch == LLM_ARCH_GEMMA3N) {
+        n_layer = 22; // hparams.n_layer_kv_from_start = 20 is hardcoded
+    }
+
+    const uint32_t n_embd_head = n_embd / n_head;
+
+    ms.add_kv(LLM_KV_GENERAL_ARCHITECTURE,      llm_arch_name(arch));
+    ms.add_kv(LLM_KV_VOCAB_SIZE,                n_vocab);
+    ms.add_kv(LLM_KV_CONTEXT_LENGTH,            n_ctx);
+    ms.add_kv(LLM_KV_EMBEDDING_LENGTH,          n_embd);
+    ms.add_kv(LLM_KV_FEATURES_LENGTH,           n_embd);
+    ms.add_kv(LLM_KV_BLOCK_COUNT,               n_layer);
+    ms.add_kv(LLM_KV_LEADING_DENSE_BLOCK_COUNT, uint32_t(1));
+
+    if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) {
+        std::vector<uint32_t> n_ff_per_layer;
+        n_ff_per_layer.reserve(n_layer);
+        for (uint32_t il = 0; il < n_layer; il++) {
+            n_ff_per_layer.push_back(il <= 1 ? 0 : n_ff);
+        }
+        ms.add_kv(LLM_KV_FEED_FORWARD_LENGTH, n_ff_per_layer);
+    } else {
+        ms.add_kv(LLM_KV_FEED_FORWARD_LENGTH, n_ff);
+    }
+
+    ms.add_kv(LLM_KV_USE_PARALLEL_RESIDUAL,   false);
+    ms.add_kv(LLM_KV_LOGIT_SCALE,             1.0f);
+    ms.add_kv(LLM_KV_TIME_MIX_EXTRA_DIM,      uint32_t(64));
+    ms.add_kv(LLM_KV_TIME_DECAY_EXTRA_DIM,    uint32_t(128));
+    ms.add_kv(LLM_KV_FULL_ATTENTION_INTERVAL, uint32_t(2));
+
+    if (arch == LLM_ARCH_PLAMO2 || arch == LLM_ARCH_JAMBA || arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE ||
+            arch == LLM_ARCH_GRANITE_HYBRID || arch == LLM_ARCH_LFM2 || arch == LLM_ARCH_LFM2MOE || arch == LLM_ARCH_KIMI_LINEAR) {
+        GGML_ASSERT(n_layer >= 2);
+        std::vector<uint32_t> n_head_per_layer;
+        n_head_per_layer.reserve(n_layer);
+        for (uint32_t il = 0; il < n_layer; il++) {
+            n_head_per_layer.push_back(il == 1 ? 0 : n_head);
+        }
+        ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT, n_head_per_layer);
+        ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, n_head_per_layer);
+    } else {
+        ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT, n_head);
+        ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, n_head);
+    }
+
+    ms.add_kv(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, 8.0f);
+    if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA  || arch == LLM_ARCH_KIMI_LINEAR) {
+        ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH,       uint32_t(576));
+        ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH,     uint32_t(512));
+        ms.add_kv(LLM_KV_ROPE_DIMENSION_COUNT,       uint32_t(64));
+        ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH_MLA,   uint32_t(192));
+        ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, uint32_t(128));
+    }
+    ms.add_kv(LLM_KV_ATTENTION_CLAMP_KQV,              1.0f);
+    ms.add_kv(LLM_KV_ATTENTION_LAYERNORM_EPS,          1e-5f);
+    ms.add_kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,      1e-5f);
+    ms.add_kv(LLM_KV_ATTENTION_GROUPNORM_EPS,          1e-5f);
+    ms.add_kv(LLM_KV_ATTENTION_GROUPNORM_GROUPS,       uint32_t(8));
+    ms.add_kv(LLM_KV_ATTENTION_Q_LORA_RANK,            uint32_t(512));
+    ms.add_kv(LLM_KV_ATTENTION_KV_LORA_RANK,           uint32_t(512));
+    ms.add_kv(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, uint32_t(8));
+    ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW,         n_ctx/8);
+
+    if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) {
+        std::vector<uint32_t> pattern;
+        pattern.reserve(n_layer);
+        for (uint32_t il = 0; il < n_layer; il++) {
+            pattern.push_back(il % 2);
+        }
+        ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, pattern);
+    } else {
+        ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, uint32_t(2));
+    }
+
+    ms.add_kv(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, uint32_t(1));
+    ms.add_kv(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, uint32_t(64));
+    ms.add_kv(LLM_KV_ATTENTION_INDEXER_TOP_K,      uint32_t(8));
+    ms.add_kv(LLM_KV_ROPE_DIMENSION_SECTIONS, std::vector<uint32_t>({n_embd_head/4, n_embd_head/4, n_embd_head/4, n_embd_head/4}));
+    ms.add_kv(LLM_KV_TOKENIZER_MODEL,         "no_vocab");
+    // ms.add_kv(LLM_KV_DENSE_2_FEAT_OUT,     n_embd);
+    // ms.add_kv(LLM_KV_DENSE_3_FEAT_IN,      n_embd);
+
+    if (moe) {
+        ms.add_kv(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, n_ff);
+        ms.add_kv(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,  uint32_t(2));
+        ms.add_kv(LLM_KV_EXPERT_COUNT,               uint32_t(2));
+        ms.add_kv(LLM_KV_EXPERT_USED_COUNT,          uint32_t(1));
+        ms.add_kv(LLM_KV_EXPERT_SHARED_COUNT,        uint32_t(1));
+        ms.add_kv(LLM_KV_EXPERT_GATING_FUNC,         uint32_t(2)); // sigmoid
+        ms.add_kv(LLM_KV_EXPERT_GROUP_SCALE,         1.0f);
+        ms.add_kv(LLM_KV_EXPERTS_PER_GROUP,          uint32_t(1));
+    }
+
+    ms.add_kv(LLM_KV_POSNET_EMBEDDING_LENGTH,   n_embd);
+    ms.add_kv(LLM_KV_POSNET_BLOCK_COUNT,        n_layer);
+    ms.add_kv(LLM_KV_CONVNEXT_EMBEDDING_LENGTH, n_embd);
+    ms.add_kv(LLM_KV_CONVNEXT_BLOCK_COUNT,      n_layer);
+    ms.add_kv(LLM_KV_XIELU_ALPHA_N,             1.0f);
+    ms.add_kv(LLM_KV_XIELU_ALPHA_P,             1.0f);
+    ms.add_kv(LLM_KV_XIELU_BETA,                1.0f);
+    ms.add_kv(LLM_KV_XIELU_EPS,                 1.0e-7f);
+    ms.add_kv(LLM_KV_SSM_INNER_SIZE,            arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 64 : 2*n_embd);
+    ms.add_kv(LLM_KV_SSM_CONV_KERNEL,           uint32_t(4));
+    ms.add_kv(LLM_KV_SSM_STATE_SIZE,            uint32_t(32));
+    ms.add_kv(LLM_KV_SSM_TIME_STEP_RANK,        n_head);
+    ms.add_kv(LLM_KV_SSM_GROUP_COUNT,           arch == LLM_ARCH_PLAMO2 ? 0 : uint32_t(2));
+    ms.add_kv(LLM_KV_KDA_HEAD_DIM,              uint32_t(128));
+    ms.add_kv(LLM_KV_WKV_HEAD_SIZE,             n_embd/n_head);
+    ms.add_kv(LLM_KV_SHORTCONV_L_CACHE,         uint32_t(3));
+
+    for (uint32_t il = 0; il < n_layer; il++) {
+        ggml_tensor t;
+        memset(&t, 0, sizeof(ggml_tensor));
+        t.type = GGML_TYPE_F16;
+        ggml_format_name(&t, "conv%" PRIu32 "d.weight", il);
+        gguf_add_tensor(ms.gguf_ctx, &t);
+        ggml_format_name(&t, "posnet.%" PRIu32 ".conv1.weight", il);
+        gguf_add_tensor(ms.gguf_ctx, &t);
+        ggml_format_name(&t, "posnet.%" PRIu32 ".conv2.weight", il);
+        gguf_add_tensor(ms.gguf_ctx, &t);
+        ggml_format_name(&t, "convnext.%" PRIu32 ".dw.weight", il);
+        gguf_add_tensor(ms.gguf_ctx, &t);
+    }
+    return ret;
+}
+
+static std::pair<llama_model_ptr, llama_context_ptr> get_model_and_ctx(
+        struct gguf_context * gguf_ctx, const size_t seed, const std::vector<ggml_backend_dev_t> & devs) {
+    llama_model_params model_params = llama_model_default_params();
+    std::vector<ggml_backend_dev_t> devs_copy = devs;
+    devs_copy.push_back(nullptr);
+    model_params.devices = devs_copy.data();
+
+    llama_context_params ctx_params = llama_context_default_params();
+    ctx_params.n_ctx = 0;
+    ctx_params.n_threads = 4;
+    ctx_params.n_threads_batch = 4;
+
+    size_t tmp = seed;
+    llama_model_ptr model(llama_model_init_from_user(gguf_ctx, set_tensor_data, &tmp, model_params));
+    if (!model) {
+        throw std::runtime_error("failed to create llama model");
+    }
+    llama_context_ptr lctx(llama_init_from_model(model.get(), ctx_params));
+    if (!lctx) {
+        throw std::runtime_error("failed to create llama context");
+    }
+    return std::make_pair(std::move(model), std::move(lctx));
+}
+
+static std::vector<float> get_logits(
+        llama_model * model, llama_context * lctx, const std::vector<llama_token> & tokens, bool encode = false) {
+    const uint32_t n_vocab  = llama_vocab_n_tokens(llama_model_get_vocab(model));
+    const uint32_t n_ctx    = llama_n_ctx(lctx);
+    const uint32_t n_tokens = tokens.size();
+    llama_batch batch = llama_batch_init(n_ctx, 0, 1);
+    GGML_ASSERT(n_tokens <= n_ctx);
+    for (uint32_t pos = 0; pos < n_tokens; pos++) {
+        common_batch_add(batch, tokens[pos], pos, {0}, true);
+    }
+    batch.n_tokens = n_tokens;
+    if (encode) {
+        if (llama_encode(lctx, batch)) {
+            llama_batch_free(batch);
+            throw std::runtime_error("failed to encode batch");
+        }
+    }
+    if (llama_decode(lctx, batch)) {
+        llama_batch_free(batch);
+        throw std::runtime_error("failed to decode batch");
+    }
+
+    std::vector<float> ret;
+    ret.reserve(n_tokens*n_vocab);
+    for (uint32_t i = 0; i < n_tokens; i++) {
+        const float * logits_ith = llama_get_logits_ith(lctx, i);
+        for (uint32_t j = 0; j < n_vocab; j++) {
+            ret.push_back(logits_ith[j]);
+        }
+    }
+    llama_batch_free(batch);
+    return ret;
+}
+
+static bool moe_mandatory(const llm_arch arch) {
+    switch (arch) {
+        case LLM_ARCH_LLAMA4:
+        case LLM_ARCH_GROK:
+        case LLM_ARCH_QWEN2MOE:
+        case LLM_ARCH_QWEN3MOE:
+        case LLM_ARCH_QWEN3NEXT:
+        case LLM_ARCH_QWEN3VLMOE:
+        case LLM_ARCH_QWEN35MOE:
+        case LLM_ARCH_PHIMOE:
+        case LLM_ARCH_DBRX:
+        case LLM_ARCH_OLMOE:
+        case LLM_ARCH_ARCTIC:
+        case LLM_ARCH_DEEPSEEK:
+        case LLM_ARCH_DEEPSEEK2:
+        case LLM_ARCH_GLM4_MOE:
+        case LLM_ARCH_GLM_DSA:
+        case LLM_ARCH_EXAONE_MOE:
+        case LLM_ARCH_BAILINGMOE:
+        case LLM_ARCH_BAILINGMOE2:
+        case LLM_ARCH_DOTS1:
+        case LLM_ARCH_AFMOE:
+        case LLM_ARCH_ERNIE4_5:
+        case LLM_ARCH_ERNIE4_5_MOE:
+        case LLM_ARCH_HUNYUAN_MOE:
+        case LLM_ARCH_OPENAI_MOE:
+        case LLM_ARCH_LFM2MOE:
+        case LLM_ARCH_SMALLTHINKER:
+        case LLM_ARCH_LLADA_MOE:
+        case LLM_ARCH_GROVEMOE:
+        case LLM_ARCH_MINIMAX_M2:
+        case LLM_ARCH_RND1:
+        case LLM_ARCH_PADDLEOCR:
+        case LLM_ARCH_MIMO2:
+        case LLM_ARCH_KIMI_LINEAR:
+        case LLM_ARCH_STEP35:
+            return true;
+        default:
+            return false;
+    }
+}
+
+static bool moe_implemented(const llm_arch arch) {
+    if (moe_mandatory(arch)) {
+        return true;
+    }
+    switch (arch) {
+        case LLM_ARCH_LLAMA:
+        case LLM_ARCH_REFACT:
+        case LLM_ARCH_MINICPM:
+        case LLM_ARCH_GRANITE:
+        case LLM_ARCH_GRANITE_MOE:
+        case LLM_ARCH_MISTRAL3:
+        case LLM_ARCH_LLAMA_EMBED:
+            return true;
+        default:
+            return false;
+    }
+}
+
+static int save_models(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level, const std::string & dir) {
+    GGML_ABORT("llama_model_save_to_file is broken");
+    struct user_data_t {
+        struct {
+            ggml_log_callback callback;
+            void * user_data;
+        } original_logger;
+        ggml_log_level min_level; // prints below this log level go to debug log
+    };
+    user_data_t ud;
+    llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data);
+    ud.min_level = log_level;
+
+    llama_log_set([](ggml_log_level level, const char * text, void * user_data) {
+        const user_data_t * ud = (const user_data_t *) user_data;
+        const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG;
+        ud->original_logger.callback(level_eff, text, ud->original_logger.user_data);
+    }, &ud);
+
+    for (const llm_arch & arch : llm_arch_all()) {
+        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+            continue;
+        }
+        if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
+            continue; // These models don't have usable implementations.
+        }
+        for (bool moe : {false, true}) {
+            if (moe && !moe_implemented(arch)) {
+                continue;
+            }
+            if (!moe && moe_mandatory(arch)) {
+                continue;
+            }
+            gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe);
+            auto model_and_ctx = get_model_and_ctx(gguf_ctx.get(), seed, {});
+            const std::string path = dir + "/" + llm_arch_name(arch) + (moe ? "-moe.gguf" : "-dense.gguf");
+            LOG_INF("%s: Saving %s model (%s) to %s...\n", __func__, llm_arch_name(arch), moe ? "MoE" : "dense", path.c_str());
+            llama_model_save_to_file(model_and_ctx.first.get(), path.c_str());
+        }
+    }
+    llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+    return 0;
+}
+
+static int test_backends(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level) {
+    struct user_data_t {
+        struct {
+            ggml_log_callback callback;
+            void * user_data;
+        } original_logger;
+        ggml_log_level min_level; // prints below this log level go to debug log
+    };
+    user_data_t ud;
+    llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data);
+    ud.min_level = log_level;
+
+    llama_log_set([](ggml_log_level level, const char * text, void * user_data) {
+        const user_data_t * ud = (const user_data_t *) user_data;
+        const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG;
+        ud->original_logger.callback(level_eff, text, ud->original_logger.user_data);
+    }, &ud);
+
+    const std::vector<llama_token> tokens = get_tokens(128, 128, seed);
+
+    bool all_ok = true;
+    common_log_flush(common_log_main());
+    printf("|%15s|%30s|%6s|%8s|%6s|\n", "Model arch.", "Device", "Config", "NMSE", "Status");
+    printf("|---------------|------------------------------|------|--------|------|\n");
+    for (const llm_arch & arch : llm_arch_all()) {
+        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+            continue;
+        }
+        if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
+            continue; // These models don't have usable implementations.
+        }
+        if (arch == LLM_ARCH_WAVTOKENIZER_DEC) {
+            continue; // FIXME CUDA backend crashes.
+        }
+        if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) {
+            continue; // FIXME Embedding (?) models produce inconsistent results.
+        }
+        if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) {
+            continue; // FIXME RWKV models hang indefinitely.
+        }
+        if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE ||
+                arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) {
+            continue; // TODO vocab
+        }
+        if (arch == LLM_ARCH_PLM) {
+            continue; // TODO tensor shapes
+        }
+
+        // FIXME some models are segfaulting with WebGPU:
+#ifdef GGML_USE_WEBGPU
+        if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) {
+            continue;
+        }
+#endif // GGML_USE_WEBGPU
+
+        const bool encode = arch == LLM_ARCH_T5;
+        for (bool moe : {false, true}) {
+            if (moe && !moe_implemented(arch)) {
+                continue;
+            }
+            if (!moe && moe_mandatory(arch)) {
+                continue;
+            }
+            gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe);
+            auto model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), seed, {});
+            const std::vector<float> logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode);
+            for (size_t i = 0; i < ggml_backend_dev_count(); i++) {
+                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
+                if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) {
+                    continue;
+                }
+                auto model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), seed, {dev});
+                const std::vector<float> logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode);
+                const double nmse_val = nmse(logits_cpu, logits_dev);
+                const bool ok = nmse_val <= 1e-4;
+                all_ok = all_ok && ok;
+                char nmse_str[10];
+                snprintf(nmse_str, sizeof(nmse_str), "%.2e", nmse_val);
+                printf("|%15s|%30s|%6s|%8s|%17s|\n", llm_arch_name(arch), ggml_backend_dev_description(dev),
+                    moe ? "MoE" : "Dense", nmse_str, ok ? "\033[1;32mOK\033[0m" : "\033[1;31mFAIL\033[0m");
+            }
+        }
+    }
+    llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+    return all_ok ? 0 : 1;
+}
+
+int main(int argc, char ** argv) {
+    // FIXME these tests are disabled in the CI for macOS-latest-cmake-arm64 because they are segfaulting
+    common_init();
+    std::random_device rd;
+
+    llm_arch arch = LLM_ARCH_UNKNOWN;
+    size_t seed = rd();
+    ggml_log_level log_level = GGML_LOG_LEVEL_ERROR;
+    std::string out;
+
+    for (int i = 1; i < argc; i++) {
+        if (strcmp(argv[i], "-a") == 0 || strcmp(argv[i], "--arch") == 0) {
+            if (i + 1 < argc) {
+                const std::string arch_name = argv[++i];
+                arch = llm_arch_from_string(arch_name);
+                if (arch == LLM_ARCH_UNKNOWN) {
+                    LOG_ERR("%s: unkown LLM architecture: %s\n", __func__, arch_name.c_str());
+                    return 1;
+                }
+            } else {
+                usage(argv);
+                return 1;
+            }
+        }
+        if (strcmp(argv[i], "-s") == 0 || strcmp(argv[i], "--seed") == 0) {
+            if (i + 1 < argc) {
+                seed = std::stoull(argv[++i]);
+            } else {
+                usage(argv);
+                return 1;
+            }
+        }
+        if (strcmp(argv[i], "-v") == 0 || strcmp(argv[i], "--verbose") == 0) {
+            log_level = GGML_LOG_LEVEL_INFO;
+            continue;
+        }
+        if (strcmp(argv[i], "-o") == 0 || strcmp(argv[i], "--out") == 0) {
+            if (i + 1 < argc) {
+                out = argv[++i];
+            } else {
+                usage(argv);
+                return 1;
+            }
+        }
+    }
+
+    try {
+        if (!out.empty()) {
+            return save_models(arch, seed, log_level, out);
+        }
+        return test_backends(arch, seed, log_level);
+    } catch (const std::exception & err) {
+        fprintf(stderr, "encountered runtime error: %s\n", err.what());
+        return -1;
+    }
+}
diff --git a/tests/test-peg-parser.cpp b/tests/test-peg-parser.cpp
index 220745d0293..7d22d776120 100644
--- a/tests/test-peg-parser.cpp
+++ b/tests/test-peg-parser.cpp
@@ -20,6 +20,7 @@ int main(int argc, char *argv[]) {
     t.test("json", test_json_parser);
     t.test("gbnf", test_gbnf_generation);
     t.test("serialization", test_json_serialization);
+    t.test("python-dict", test_python_dict_parser);
 
     return t.summary();
 }
diff --git a/tests/test-quantize-fns.cpp b/tests/test-quantize-fns.cpp
index 037c0582bbb..a8fb1926231 100644
--- a/tests/test-quantize-fns.cpp
+++ b/tests/test-quantize-fns.cpp
@@ -20,8 +20,10 @@ constexpr float MAX_QUANTIZATION_TOTAL_ERROR_TERNARY = 0.01f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_2BITS = 0.0075f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS = 0.0040f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS = 0.0050f;
+constexpr float MAX_QUANTIZATION_TOTAL_ERROR_FP4 = 0.0030f;
 constexpr float MAX_DOT_PRODUCT_ERROR = 0.02f;
 constexpr float MAX_DOT_PRODUCT_ERROR_LOWBIT = 0.04f;
+constexpr float MAX_DOT_PRODUCT_ERROR_FP4 = 0.03f;
 constexpr float MAX_DOT_PRODUCT_ERROR_TERNARY = 0.15f;
 
 static const char* RESULT_STR[] = {"ok", "FAILED"};
@@ -149,7 +151,8 @@ int main(int argc, char * argv[]) {
                 type == GGML_TYPE_IQ2_S   ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS :
                 type == GGML_TYPE_Q3_K    ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
                 type == GGML_TYPE_IQ3_S   ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
-                type == GGML_TYPE_IQ3_XXS ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS : MAX_QUANTIZATION_TOTAL_ERROR;
+                type == GGML_TYPE_IQ3_XXS ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS :
+                type == GGML_TYPE_NVFP4   ? MAX_QUANTIZATION_TOTAL_ERROR_FP4 : MAX_QUANTIZATION_TOTAL_ERROR;
             failed = !(total_error < max_quantization_error);
             num_failed += failed;
             if (failed || verbose) {
@@ -169,6 +172,8 @@ int main(int argc, char * argv[]) {
                                           ? MAX_DOT_PRODUCT_ERROR_LOWBIT
                                           : type == GGML_TYPE_TQ1_0 || type == GGML_TYPE_TQ2_0
                                           ? MAX_DOT_PRODUCT_ERROR_TERNARY
+                                          : type == GGML_TYPE_NVFP4
+                                          ? MAX_DOT_PRODUCT_ERROR_FP4
                                           : MAX_DOT_PRODUCT_ERROR;
             failed = !(vec_dot_error < max_allowed_error);
             num_failed += failed;
diff --git a/tests/test-reasoning-budget.cpp b/tests/test-reasoning-budget.cpp
new file mode 100644
index 00000000000..ab540a84630
--- /dev/null
+++ b/tests/test-reasoning-budget.cpp
@@ -0,0 +1,238 @@
+#include "reasoning-budget.h"
+#include "unicode.h"
+
+#include "llama.h"
+#include "ggml.h"
+
+#ifdef NDEBUG
+#undef NDEBUG
+#endif
+
+#include <cmath>
+#include <cstddef>
+#include <cstdio>
+#include <string>
+#include <vector>
+
+// Reasoning budget sampler test helper
+// These tests use nullptr vocab which safely falls back to treating all tokens as complete
+// (The UTF-8 boundary detection logic is tested separately in test_utf8_boundary_detection)
+static void test_reasoning_budget(
+    const char * test_name,
+    const std::vector<llama_token> & sequence,
+    const std::vector<llama_token> & start_tokens,
+    const std::vector<llama_token> & end_tokens,
+    const std::vector<llama_token> & forced_tokens,
+    int32_t budget,
+    common_reasoning_budget_state initial_state,
+    size_t expected_force_start,   // token index where forcing should start (SIZE_MAX = never)
+    size_t expected_force_end      // token index where forcing should end (after this, no more forcing)
+) {
+    // Find the maximum token ID to ensure our vocab covers all tokens
+    llama_token max_token = 0;
+    for (auto t : sequence) max_token = std::max(max_token, t);
+    for (auto t : start_tokens) max_token = std::max(max_token, t);
+    for (auto t : end_tokens) max_token = std::max(max_token, t);
+    for (auto t : forced_tokens) max_token = std::max(max_token, t);
+
+    // Create a minimal sampler with mock vocabulary
+    // For this test, we use nullptr as vocab since we're testing state transitions
+    // The UTF-8 boundary check will treat all tokens as complete (safe fallback)
+    auto * sampler = common_reasoning_budget_init(
+        nullptr,  // vocab - not used for basic state machine tests
+        start_tokens,
+        end_tokens,
+        forced_tokens,
+        budget,
+        initial_state
+    );
+
+    // Create a test token data array for checking forcing behavior
+    // Vocab size must be large enough to include all tokens (start, end, forced, sequence)
+    std::vector<llama_token_data> cur;
+    const size_t n_vocab = (size_t)max_token + 1;
+    for (size_t i = 0; i < n_vocab; i++) {
+        cur.emplace_back(llama_token_data{(llama_token)i, logf((float)(i+1)), 0.0f});
+    }
+    llama_token_data_array cur_p = { cur.data(), cur.size(), -1, false };
+
+    size_t actual_force_start = SIZE_MAX;
+    size_t actual_force_end = SIZE_MAX;
+
+    // Feed the sequence and track when forcing occurs
+    for (size_t i = 0; i < sequence.size(); i++) {
+        llama_sampler_accept(sampler, sequence[i]);
+
+        // Check if we're in forcing state by applying and seeing if logits are modified
+        cur_p.selected = -1;
+        for (size_t j = 0; j < cur.size(); j++) {
+            cur[j].logit = logf((float)(j+1));  // reset logits
+        }
+
+        llama_sampler_apply(sampler, &cur_p);
+
+        // Check if forcing is active (all logits except one should be -INFINITY)
+        size_t finite_count = 0;
+        llama_token finite_token = -1;
+        for (size_t j = 0; j < cur.size(); j++) {
+            if (std::isfinite(cur[j].logit)) {
+                finite_count++;
+                finite_token = cur[j].id;
+            }
+        }
+
+        fprintf(stderr, "    i=%zu: token=%d, finite_count=%zu, finite_token=%d\n", i, (int)sequence[i], finite_count, (int)finite_token);
+
+        if (finite_count == 1) {
+            if (actual_force_start == SIZE_MAX) {
+                actual_force_start = i;
+            }
+            actual_force_end = i;
+        } else if (actual_force_start != SIZE_MAX && actual_force_end != SIZE_MAX) {
+            // Forcing stopped
+            break;
+        }
+    }
+
+    llama_sampler_free(sampler);
+
+    // Verify forcing occurred at expected positions
+    if (expected_force_start == SIZE_MAX) {
+        if (actual_force_start != SIZE_MAX) {
+            fprintf(stderr, "Test '%s' FAILED: Expected no forcing, but forcing occurred at %zu\n", test_name, actual_force_start);
+            GGML_ASSERT(false && "Expected no forcing, but forcing occurred");
+        }
+    } else {
+        if (actual_force_start == SIZE_MAX) {
+            fprintf(stderr, "Test '%s' FAILED: Expected forcing but none occurred\n", test_name);
+            GGML_ASSERT(false && "Expected forcing but none occurred");
+        }
+        if (actual_force_start != expected_force_start) {
+            fprintf(stderr, "Test '%s' FAILED: Forcing started at %zu, expected %zu\n", test_name, actual_force_start, expected_force_start);
+            GGML_ASSERT(false && "Forcing started at wrong position");
+        }
+    }
+
+    if (expected_force_end != SIZE_MAX) {
+        if (actual_force_end < expected_force_end) {
+            fprintf(stderr, "Test '%s' FAILED: Forcing ended at %zu, expected >= %zu\n", test_name, actual_force_end, expected_force_end);
+            GGML_ASSERT(false && "Forcing ended too early");
+        }
+    }
+
+    fprintf(stderr, "  Test '%s' passed (force_start=%zu, force_end=%zu)\n", test_name, actual_force_start, actual_force_end);
+    (void)sequence;
+}
+
+// UTF-8 boundary detection unit test
+// Tests common_utf8_is_complete() from reasoning-budget.h
+static void test_utf8_boundary_detection() {
+    // Complete sequences
+    GGML_ASSERT(common_utf8_is_complete("hello"));
+    GGML_ASSERT(common_utf8_is_complete(""));
+    GGML_ASSERT(common_utf8_is_complete("\xC2\xA0"));            // complete 2-byte UTF-8 (U+00A0)
+    GGML_ASSERT(common_utf8_is_complete("\xE2\x80\x9C"));        // complete 3-byte UTF-8 (left double quote)
+    GGML_ASSERT(common_utf8_is_complete("\xF0\x9F\x98\x80"));    // complete 4-byte UTF-8 (emoji)
+    GGML_ASSERT(common_utf8_is_complete("abc\xC3\xA9"));         // ASCII + complete 2-byte
+
+    // Incomplete sequences
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\xC2", 1)));            // 2-byte start, missing continuation
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\xE2\x80", 2)));        // 3-byte start + 1 cont, missing 1
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\xE2", 1)));            // 3-byte start, missing 2
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\xF0\x9F\x98", 3)));    // 4-byte start + 2 cont, missing 1
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\xF0\x9F", 2)));        // 4-byte start + 1 cont, missing 2
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\xF0", 1)));            // 4-byte start, missing 3
+    GGML_ASSERT(!common_utf8_is_complete(std::string("\x80", 1)));            // orphan continuation byte
+
+    // Mixed: ASCII followed by start of multi-byte
+    GGML_ASSERT(!common_utf8_is_complete(std::string("hello\xC3", 6)));       // ASCII + incomplete 2-byte
+    GGML_ASSERT(common_utf8_is_complete(std::string("hello\xC3\xA9", 7)));    // ASCII + complete 2-byte
+}
+
+int main(void) {
+    // Reasoning budget sampler tests
+    printf("Testing reasoning budget sampler... ");
+
+    // Test 1: Basic budget with start/end tokens - no forcing (natural end before budget exhausted)
+    {
+        const std::vector<llama_token> start = {100};  // start token
+        const std::vector<llama_token> end = {101};    // end token
+        const std::vector<llama_token> forced = {102}; // forced token (not used in this test)
+        const std::vector<llama_token> sequence = {100, 50, 51, 101, 52}; // start, two tokens, end, one more
+
+        test_reasoning_budget("natural end before budget exhausted", sequence, start, end, forced,
+            5,      // budget of 5 tokens
+            REASONING_BUDGET_IDLE,
+            SIZE_MAX, SIZE_MAX); // no forcing expected (natural end)
+    }
+
+    // Test 2: Budget exhausted, forcing should occur
+    // Flow: i=0 accept(100)->COUNTING, i=1 accept(50)->remaining=1, i=2 accept(51)->remaining=0->FORCING
+    // Forcing is active at i=2 and i=3 (when apply() is called while in FORCING state)
+    // At i=4, force_pos becomes 2 which equals forced_tokens.size(), so state becomes DONE
+    {
+        const std::vector<llama_token> start = {100};
+        const std::vector<llama_token> end = {101};
+        const std::vector<llama_token> forced = {102, 101}; // forced message + end
+        const std::vector<llama_token> sequence = {100, 50, 51, 52, 53}; // start + 4 tokens (budget=2)
+
+        test_reasoning_budget("budget exhausted forcing", sequence, start, end, forced,
+            2,      // budget of 2 tokens
+            REASONING_BUDGET_IDLE,
+            2,      // forcing starts at i=2 (after accept(51) depletes budget, apply() forces)
+            3);     // forcing continues through i=3 (at i=4 state becomes DONE)
+    }
+
+    // Test 3: Activate immediately with budget=0, forcing should start right away
+    // Flow: Since no start token in sequence, state stays IDLE (no start/end configured means passthrough)
+    // This test needs start token to be in the sequence or use activate_immediately with start token present
+    {
+        const std::vector<llama_token> start = {100};
+        const std::vector<llama_token> end = {101};
+        const std::vector<llama_token> forced = {102, 101};
+        const std::vector<llama_token> sequence = {100, 50, 51, 52}; // start token first, then 3 tokens
+
+        test_reasoning_budget("activate immediately budget=0", sequence, start, end, forced,
+            0,      // budget of 0 tokens
+            REASONING_BUDGET_COUNTING, // starts counting, promoted to FORCING since budget=0
+            0,      // forcing starts at i=0 (after accept(100), budget=0 goes straight to FORCING)
+            1);     // forcing continues through i=1 (at i=2 state becomes DONE)
+    }
+
+    // Test 4: No start/end tokens configured - passthrough (no forcing)
+    {
+        const std::vector<llama_token> start = {};
+        const std::vector<llama_token> end = {};
+        const std::vector<llama_token> forced = {102};
+        const std::vector<llama_token> sequence = {50, 51, 52, 53};
+
+        test_reasoning_budget("no start/end configured", sequence, start, end, forced,
+            2,      // budget
+            REASONING_BUDGET_IDLE,
+            SIZE_MAX, SIZE_MAX); // no forcing (no start/end configured)
+    }
+
+    // Test 5: Activate immediately with budget > 0, count down then force
+    // Flow: i=0 accept(50)->remaining=1, i=1 accept(51)->remaining=0->FORCING
+    // So forcing starts at i=1 (apply after accept sees FORCING with force_pos=0)
+    {
+        const std::vector<llama_token> start = {100};
+        const std::vector<llama_token> end = {101};
+        const std::vector<llama_token> forced = {102, 101};
+        const std::vector<llama_token> sequence = {50, 51, 52, 53};
+
+        test_reasoning_budget("activate immediately with budget", sequence, start, end, forced,
+            2,      // budget of 2 tokens
+            REASONING_BUDGET_COUNTING,
+            1,      // forcing starts at i=1 (after 2 accepts deplete budget)
+            2);     // forcing continues through i=2
+    }
+
+    printf("OK (5 tests passed)\n");
+
+    printf("Testing UTF-8 boundary detection... ");
+    test_utf8_boundary_detection();
+    printf("OK\n");
+
+    return 0;
+}
diff --git a/tests/test-tokenizer-0.sh b/tests/test-tokenizer-0.sh
index 7ef009dc903..7024b00afe3 100755
--- a/tests/test-tokenizer-0.sh
+++ b/tests/test-tokenizer-0.sh
@@ -13,7 +13,12 @@ fi
 name=$1
 input=$2
 
-make -j tests/test-tokenizer-0
+# Build using CMake if binary doesn't exist
+if [ ! -f ./build/bin/test-tokenizer-0 ]; then
+    printf "Building test-tokenizer-0 with CMake...\n"
+    cmake -B build -DLLAMA_BUILD_TESTS=ON
+    cmake --build build --target test-tokenizer-0 -j
+fi
 
 printf "Testing %s on %s ...\n" $name $input
 
@@ -23,7 +28,7 @@ printf "Tokenizing using (py)  Python AutoTokenizer ...\n"
 python3 ./tests/test-tokenizer-0.py ./models/tokenizers/$name --fname-tok $input > /tmp/test-tokenizer-0-$name-py.log 2>&1
 
 printf "Tokenizing using (cpp) llama.cpp ...\n"
-./tests/test-tokenizer-0 ./models/ggml-vocab-$name.gguf $input > /tmp/test-tokenizer-0-$name-cpp.log 2>&1
+./build/bin/test-tokenizer-0 ./models/ggml-vocab-$name.gguf $input > /tmp/test-tokenizer-0-$name-cpp.log 2>&1
 
 cat /tmp/test-tokenizer-0-$name-py.log | grep "tokenized in"
 cat /tmp/test-tokenizer-0-$name-cpp.log | grep "tokenized in"
diff --git a/tools/CMakeLists.txt b/tools/CMakeLists.txt
index 518f8b9ae74..b433c91d85e 100644
--- a/tools/CMakeLists.txt
+++ b/tools/CMakeLists.txt
@@ -26,6 +26,7 @@ else()
         add_subdirectory(server)
     endif()
     add_subdirectory(tokenize)
+    add_subdirectory(parser)
     add_subdirectory(tts)
     add_subdirectory(mtmd)
     if (GGML_RPC)
@@ -37,4 +38,5 @@ else()
         add_subdirectory(export-lora)
     endif()
     add_subdirectory(fit-params)
+    add_subdirectory(results)
 endif()
diff --git a/tools/batched-bench/batched-bench.cpp b/tools/batched-bench/batched-bench.cpp
index 0f627c5ff65..224f0e1f1c6 100644
--- a/tools/batched-bench/batched-bench.cpp
+++ b/tools/batched-bench/batched-bench.cpp
@@ -4,6 +4,7 @@
 #include "llama.h"
 
 #include <algorithm>
+#include <clocale>
 #include <cstdio>
 #include <string>
 #include <vector>
@@ -15,6 +16,8 @@ static void print_usage(int, char ** argv) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_BENCH, print_usage)) {
diff --git a/tools/cli/README.md b/tools/cli/README.md
index 4a15cbad9d7..22d3fc87e96 100644
--- a/tools/cli/README.md
+++ b/tools/cli/README.md
@@ -57,8 +57,8 @@
 | `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
 | `-np, --parallel N` | number of parallel sequences to decode (default: 1)<br/>(env: LLAMA_ARG_N_PARALLEL) |
 | `--mlock` | force system to keep model in RAM rather than swapping or compressing<br/>(env: LLAMA_ARG_MLOCK) |
-| `--mmap, --no-mmap` | whether to memory-map model. Explicitly enabling mmap disables direct-io. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
-| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. Takes precedence over --mmap (default: enabled)<br/>(env: LLAMA_ARG_DIO) |
+| `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
+| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)<br/>(env: LLAMA_ARG_DIO) |
 | `--numa TYPE` | attempt optimizations that help on some NUMA systems<br/>- distribute: spread execution evenly over all nodes<br/>- isolate: only spawn threads on CPUs on the node that execution started on<br/>- numactl: use the CPU map provided by numactl<br/>if run without this previously, it is recommended to drop the system page cache before using this<br/>see https://github.com/ggml-org/llama.cpp/issues/1437<br/>(env: LLAMA_ARG_NUMA) |
 | `-dev, --device <dev1,dev2,..>` | comma-separated list of devices to use for offloading (none = don't offload)<br/>use --list-devices to see a list of available devices<br/>(env: LLAMA_ARG_DEVICE) |
 | `--list-devices` | print list of available devices and exit |
@@ -109,14 +109,14 @@
 | `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
 | `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
 | `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
-| `--temp N` | temperature (default: 0.80) |
+| `--temp, --temperature N` | temperature (default: 0.80) |
 | `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
 | `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
 | `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
-| `--top-nsigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
+| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
 | `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
 | `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
-| `--typical N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
+| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
 | `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) |
 | `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
 | `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
diff --git a/tools/cli/cli.cpp b/tools/cli/cli.cpp
index 02ccb725981..4c2ae7a033c 100644
--- a/tools/cli/cli.cpp
+++ b/tools/cli/cli.cpp
@@ -1,3 +1,4 @@
+#include "chat.h"
 #include "common.h"
 #include "arg.h"
 #include "console.h"
@@ -6,7 +7,10 @@
 #include "server-context.h"
 #include "server-task.h"
 
+#include <array>
 #include <atomic>
+#include <algorithm>
+#include <filesystem>
 #include <fstream>
 #include <thread>
 #include <signal.h>
@@ -52,6 +56,9 @@ struct cli_context {
     json messages = json::array();
     std::vector<raw_buffer> input_files;
     task_params defaults;
+    bool verbose_prompt;
+    int reasoning_budget = -1;
+    std::string reasoning_budget_message;
 
     // thread for showing "loading" animation
     std::atomic<bool> loading_show;
@@ -66,6 +73,10 @@ struct cli_context {
         defaults.stream = true; // make sure we always use streaming mode
         defaults.timings_per_token = true; // in order to get timings even when we cancel mid-way
         // defaults.return_progress = true; // TODO: show progress
+
+        verbose_prompt = params.verbose_prompt;
+        reasoning_budget = params.reasoning_budget;
+        reasoning_budget_message = params.reasoning_budget_message;
     }
 
     std::string generate_completion(result_timings & out_timings) {
@@ -88,9 +99,33 @@ struct cli_context {
                 task.params.chat_parser_params.parser.load(chat_params.parser);
             }
 
+            // reasoning budget sampler
+            if (reasoning_budget >= 0 && !chat_params.thinking_end_tag.empty()) {
+                const llama_vocab * vocab = llama_model_get_vocab(
+                    llama_get_model(ctx_server.get_llama_context()));
+
+                task.params.sampling.reasoning_budget_tokens = reasoning_budget;
+                task.params.sampling.reasoning_budget_activate_immediately = chat_params.thinking_forced_open;
+
+                if (!chat_params.thinking_start_tag.empty()) {
+                    task.params.sampling.reasoning_budget_start =
+                        common_tokenize(vocab, chat_params.thinking_start_tag, false, true);
+                }
+                task.params.sampling.reasoning_budget_end =
+                    common_tokenize(vocab, chat_params.thinking_end_tag, false, true);
+                task.params.sampling.reasoning_budget_forced =
+                    common_tokenize(vocab, reasoning_budget_message + chat_params.thinking_end_tag, false, true);
+            }
+
             rd.post_task({std::move(task)});
         }
 
+        if (verbose_prompt) {
+            console::set_display(DISPLAY_TYPE_PROMPT);
+            console::log("%s\n\n", chat_params.prompt.c_str());
+            console::set_display(DISPLAY_TYPE_RESET);
+        }
+
         // wait for first result
         console::spinner::start();
         server_task_result_ptr result = rd.next(should_stop);
@@ -179,13 +214,130 @@ struct cli_context {
         inputs.use_jinja             = chat_params.use_jinja;
         inputs.parallel_tool_calls   = false;
         inputs.add_generation_prompt = true;
-        inputs.enable_thinking       = chat_params.enable_thinking;
+        inputs.reasoning_format      = COMMON_REASONING_FORMAT_DEEPSEEK;
+        inputs.enable_thinking       = common_chat_templates_support_enable_thinking(chat_params.tmpls.get());
 
         // Apply chat template to the list of messages
         return common_chat_templates_apply(chat_params.tmpls.get(), inputs);
     }
 };
 
+// TODO?: Make this reusable, enums, docs
+static const std::array<const std::string, 6> cmds = {
+    "/audio ",
+    "/clear",
+    "/exit",
+    "/image ",
+    "/read ",
+    "/regen",
+};
+
+static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std::string_view line, size_t cursor_byte_pos) {
+    std::vector<std::pair<std::string, size_t>> matches;
+    std::string cmd;
+
+    if (line.length() > 1 && line[0] == '/' && !std::any_of(cmds.begin(), cmds.end(), [line](const std::string & prefix) {
+        return string_starts_with(line, prefix);
+    })) {
+        auto it = cmds.begin();
+
+        while ((it = std::find_if(it, cmds.end(), [line](const std::string & cmd_line) {
+            return string_starts_with(cmd_line, line);
+        })) != cmds.end()) {
+            matches.emplace_back(*it, (*it).length());
+            ++it;
+        }
+    } else {
+        auto it = std::find_if(cmds.begin(), cmds.end(), [line](const std::string & prefix) {
+            return prefix.back() == ' ' && string_starts_with(line, prefix);
+        });
+
+        if (it != cmds.end()) {
+            cmd = *it;
+        }
+    }
+
+    if (!cmd.empty() && line.length() >= cmd.length() && cursor_byte_pos >= cmd.length()) {
+        const std::string path_prefix  = std::string(line.substr(cmd.length(), cursor_byte_pos - cmd.length()));
+        const std::string path_postfix = std::string(line.substr(cursor_byte_pos));
+        auto cur_dir = std::filesystem::current_path();
+        std::string cur_dir_str = cur_dir.string();
+        std::string expanded_prefix = path_prefix;
+
+#if !defined(_WIN32)
+        if (string_starts_with(path_prefix, "~")) {
+            const char * home = std::getenv("HOME");
+            if (home && home[0]) {
+                expanded_prefix = std::string(home) + path_prefix.substr(1);
+            }
+        }
+        if (string_starts_with(expanded_prefix, "/")) {
+#else
+        if (std::isalpha(expanded_prefix[0]) && expanded_prefix.find(':') == 1) {
+#endif
+            cur_dir = std::filesystem::path(expanded_prefix).parent_path();
+            cur_dir_str = "";
+        } else if (!path_prefix.empty()) {
+            cur_dir /= std::filesystem::path(path_prefix).parent_path();
+        }
+
+        std::error_code ec;
+        for (const auto & entry : std::filesystem::directory_iterator(cur_dir, ec)) {
+            if (ec) {
+                break;
+            }
+            if (!entry.exists(ec)) {
+                ec.clear();
+                continue;
+            }
+
+            const std::string path_full = entry.path().string();
+            std::string path_entry = !cur_dir_str.empty() && string_starts_with(path_full, cur_dir_str) ? path_full.substr(cur_dir_str.length() + 1) : path_full;
+
+            if (entry.is_directory(ec)) {
+                path_entry.push_back(std::filesystem::path::preferred_separator);
+            }
+
+            if (expanded_prefix.empty() || string_starts_with(path_entry, expanded_prefix)) {
+                std::string updated_line = cmd + path_entry;
+                matches.emplace_back(updated_line + path_postfix, updated_line.length());
+            }
+
+            if (ec) {
+                ec.clear();
+            }
+        }
+
+        if (matches.empty()) {
+            std::string updated_line = cmd + path_prefix;
+            matches.emplace_back(updated_line + path_postfix, updated_line.length());
+        }
+
+        // Add the longest common prefix
+        if (!expanded_prefix.empty() && matches.size() > 1) {
+            const std::string_view match0(matches[0].first);
+            const std::string_view match1(matches[1].first);
+            auto it = std::mismatch(match0.begin(), match0.end(), match1.begin(), match1.end());
+            size_t len = it.first - match0.begin();
+
+            for (size_t i = 2; i < matches.size(); ++i) {
+                const std::string_view matchi(matches[i].first);
+                auto cmp = std::mismatch(match0.begin(), match0.end(), matchi.begin(), matchi.end());
+                len = std::min(len, static_cast<size_t>(cmp.first - match0.begin()));
+            }
+
+            std::string updated_line = std::string(match0.substr(0, len));
+            matches.emplace_back(updated_line + path_postfix, updated_line.length());
+        }
+
+        std::sort(matches.begin(), matches.end(), [](const auto & a, const auto & b) {
+            return a.first.compare(0, a.second, b.first, 0, b.second) < 0;
+        });
+    }
+
+    return matches;
+}
+
 int main(int argc, char ** argv) {
     common_params params;
 
@@ -214,6 +366,7 @@ int main(int argc, char ** argv) {
     atexit([]() { console::cleanup(); });
 
     console::set_display(DISPLAY_TYPE_RESET);
+    console::set_completion_callback(auto_completion_callback);
 
 #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
     struct sigaction sigint_action;
@@ -253,12 +406,15 @@ int main(int argc, char ** argv) {
         modalities += ", audio";
     }
 
-    if (!params.system_prompt.empty()) {
-        ctx_cli.messages.push_back({
-            {"role",    "system"},
-            {"content", params.system_prompt}
-        });
-    }
+    auto add_system_prompt = [&]() {
+        if (!params.system_prompt.empty()) {
+            ctx_cli.messages.push_back({
+                {"role",    "system"},
+                {"content", params.system_prompt}
+            });
+        }
+    };
+    add_system_prompt();
 
     console::log("\n");
     console::log("%s\n", LLAMA_ASCII_LOGO);
@@ -348,6 +504,8 @@ int main(int argc, char ** argv) {
             }
         } else if (string_starts_with(buffer, "/clear")) {
             ctx_cli.messages.clear();
+            add_system_prompt();
+
             ctx_cli.input_files.clear();
             console::log("Chat history cleared.\n");
             continue;
@@ -371,6 +529,15 @@ int main(int argc, char ** argv) {
                 console::error("file does not exist or cannot be opened: '%s'\n", fname.c_str());
                 continue;
             }
+            if (inf.fim_sep_token != LLAMA_TOKEN_NULL) {
+                cur_msg += common_token_to_piece(ctx_cli.ctx_server.get_llama_context(), inf.fim_sep_token, true);
+                cur_msg += fname;
+                cur_msg.push_back('\n');
+            } else {
+                cur_msg += "--- File: ";
+                cur_msg += fname;
+                cur_msg += " ---\n";
+            }
             cur_msg += marker;
             console::log("Loaded text from '%s'\n", fname.c_str());
             continue;
diff --git a/tools/completion/README.md b/tools/completion/README.md
index 3ca3e684541..f868c2c7d7d 100644
--- a/tools/completion/README.md
+++ b/tools/completion/README.md
@@ -140,8 +140,8 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
 | `-np, --parallel N` | number of parallel sequences to decode (default: 1)<br/>(env: LLAMA_ARG_N_PARALLEL) |
 | `--mlock` | force system to keep model in RAM rather than swapping or compressing<br/>(env: LLAMA_ARG_MLOCK) |
-| `--mmap, --no-mmap` | whether to memory-map model. Explicitly enabling mmap disables direct-io. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
-| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. Takes precedence over --mmap (default: enabled)<br/>(env: LLAMA_ARG_DIO) |
+| `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
+| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)<br/>(env: LLAMA_ARG_DIO) |
 | `--numa TYPE` | attempt optimizations that help on some NUMA systems<br/>- distribute: spread execution evenly over all nodes<br/>- isolate: only spawn threads on CPUs on the node that execution started on<br/>- numactl: use the CPU map provided by numactl<br/>if run without this previously, it is recommended to drop the system page cache before using this<br/>see https://github.com/ggml-org/llama.cpp/issues/1437<br/>(env: LLAMA_ARG_NUMA) |
 | `-dev, --device <dev1,dev2,..>` | comma-separated list of devices to use for offloading (none = don't offload)<br/>use --list-devices to see a list of available devices<br/>(env: LLAMA_ARG_DEVICE) |
 | `--list-devices` | print list of available devices and exit |
@@ -192,14 +192,14 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
 | `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
 | `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
-| `--temp N` | temperature (default: 0.80) |
+| `--temp, --temperature N` | temperature (default: 0.80) |
 | `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
 | `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
 | `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
-| `--top-nsigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
+| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
 | `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
 | `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
-| `--typical N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
+| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
 | `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) |
 | `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
 | `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
@@ -480,7 +480,7 @@ Example usage: `--mirostat 2 --mirostat-lr 0.05 --mirostat-ent 3.0`
 
 Exclude Top Choices (XTC) is a unique sampler that is designed to remove top tokens from consideration and avoid more obvious and repetitive outputs. With a chance of `xtc-probability` it searches for tokens with probabilities of `xtc-threshold` and above, then removes all such tokens except the least probable one.
 
-By removing top tokens XTC can improve the variety of answers, break writing clichés and inhibit repition, since clichés and repeated phrases are usually more likely to appear. By keeping the last token above the threshold, XTC ensures that the answer is still coherent. XTC is meant to be used for creative tasks, but feel free to experiment with different settings for different models.
+By removing top tokens XTC can improve the variety of answers, break writing clichés and inhibit repetition, since clichés and repeated phrases are usually more likely to appear. By keeping the last token above the threshold, XTC ensures that the answer is still coherent. XTC is meant to be used for creative tasks, but feel free to experiment with different settings for different models.
 
 Being experimental and unique, XTC is disabled by default. The recommended combination of samplers is Min-P followed by XTC on its default settings: `--sampling-seq mx --min-p 0.02 --xtc-probability 0.5`.
 
@@ -531,7 +531,7 @@ These options help improve the performance and memory usage of the LLaMA models.
 
 ### NUMA support
 
--   `--numa distribute`: Pin an equal proportion of the threads to the cores on each NUMA node. This will spread the load amongst all cores on the system, utilitizing all memory channels at the expense of potentially requiring memory to travel over the slow links between nodes.
+-   `--numa distribute`: Pin an equal proportion of the threads to the cores on each NUMA node. This will spread the load amongst all cores on the system, utilizing all memory channels at the expense of potentially requiring memory to travel over the slow links between nodes.
 -   `--numa isolate`: Pin all threads to the NUMA node that the program starts on. This limits the number of cores and amount of memory that can be used, but guarantees all memory access remains local to the NUMA node.
 -   `--numa numactl`: Pin threads to the CPUMAP that is passed to the program by starting it with the numactl utility. This is the most flexible mode, and allow arbitrary core usage patterns, for example a map that uses all the cores on one NUMA nodes, and just enough cores on a second node to saturate the inter-node memory bus.
 
diff --git a/tools/completion/completion.cpp b/tools/completion/completion.cpp
index 977132756f7..2e0f0871847 100644
--- a/tools/completion/completion.cpp
+++ b/tools/completion/completion.cpp
@@ -6,6 +6,7 @@
 #include "llama.h"
 #include "chat.h"
 
+#include <clocale>
 #include <cstdio>
 #include <cstring>
 #include <ctime>
@@ -84,6 +85,8 @@ static void sigint_handler(int signo) {
 #endif
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
     g_params = &params;
 
@@ -376,7 +379,7 @@ int main(int argc, char ** argv) {
             // remove any "future" tokens that we might have inherited from the previous session
             if (session_tokens.size() > n_match) {
                 if (!llama_memory_seq_rm(mem, -1, n_match, -1)) {
-                    LOG_WRN("%s: unable to resuse common prefix (for example, when the memory is recurrent)\n", __func__);
+                    LOG_WRN("%s: unable to reuse common prefix (for example, when the memory is recurrent)\n", __func__);
                     llama_memory_clear(mem, true);
                     session_tokens.clear();
                     n_match = 0;
@@ -387,6 +390,17 @@ int main(int argc, char ** argv) {
         }
 
         session_do_save = !path_session.empty() && n_match < embd_inp.size() && !params.prompt_cache_ro;
+
+        // Logits are not stored as part of the session state so we need to
+        // "replay" the last token to get logits for sampling.
+        if (!session_tokens.empty() && n_match > 0 && n_match == session_tokens.size()) {
+            if (!common_replay_last_token(ctx, session_tokens.back(), n_match)) {
+                return 1;
+            }
+
+            session_do_save = false;
+            LOG_INF("%s: replayed last token from session\n", __func__);
+        }
     }
 
     // number of tokens to keep when resetting context
@@ -675,40 +689,27 @@ int main(int argc, char ** argv) {
             }
 
             if (!embd.empty()) {
-                int n_eval = (int) embd.size();
-                LOG_DBG("eval: %s\n", string_from(ctx, embd).c_str());
-
-                GGML_ASSERT(n_eval <= params.n_batch);
-                if (llama_decode(ctx, llama_batch_get_one(embd.data(), n_eval))) {
-                    LOG_ERR("%s : failed to eval\n", __func__);
+                const bool is_last_batch = (n_consumed >= (int) embd_inp.size());
+                const bool save_now = session_do_save && is_last_batch;
+                if (!common_prompt_batch_decode(ctx, embd, n_past, params.n_batch, path_session, save_now)) {
                     return 1;
                 }
-
-                n_past += n_eval;
+                session_tokens.insert(session_tokens.end(), embd.begin(), embd.begin());
+                n_session_consumed = session_tokens.size();
+                session_do_save = false;
 
                 LOG_DBG("n_past = %d\n", n_past);
+
                 // Display total tokens alongside total time
                 if (params.n_print > 0 && n_past % params.n_print == 0) {
                     LOG_DBG("\n\033[31mTokens consumed so far = %d / %d \033[0m\n", n_past, n_ctx);
                 }
             }
-
-            if (!embd.empty() && !path_session.empty()) {
-                session_tokens.insert(session_tokens.end(), embd.begin(), embd.end());
-                n_session_consumed = session_tokens.size();
-            }
         }
 
         embd.clear();
 
         if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
-            // optionally save the session on first sample (for faster prompt loading next time)
-            if (session_do_save) {
-                session_do_save = false;
-                llama_state_save_file(ctx, path_session.c_str(), session_tokens.data(), session_tokens.size());
-
-                LOG_DBG("saved session to %s\n", path_session.c_str());
-            }
 
             const llama_token id = common_sampler_sample(smpl, ctx, -1);
 
diff --git a/tools/cvector-generator/cvector-generator.cpp b/tools/cvector-generator/cvector-generator.cpp
index 3ba7c529506..dcce0e98418 100644
--- a/tools/cvector-generator/cvector-generator.cpp
+++ b/tools/cvector-generator/cvector-generator.cpp
@@ -7,6 +7,8 @@
 #include "pca.hpp"
 #include "mean.hpp"
 
+#include <clocale>
+
 #ifdef GGML_USE_CUDA
 #include "ggml-cuda.h"
 #endif
@@ -108,7 +110,7 @@ struct callback_data {
             auto diff_filtered = filter_nonzero_rows(v_pos[il]);
             v_diff_filtered.push_back(diff_filtered);
         }
-        return v_diff_filtered; // for convinient, we return the result std::vector
+        return v_diff_filtered; // for convenient, we return the result std::vector
     }
 
     // delete zero rows from a given 2D tensor
@@ -392,6 +394,8 @@ static int prepare_entries(common_params & params, train_context & ctx_train) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.out_file = "control_vector.gguf";
diff --git a/tools/export-lora/export-lora.cpp b/tools/export-lora/export-lora.cpp
index 41f426208f8..50774c59bae 100644
--- a/tools/export-lora/export-lora.cpp
+++ b/tools/export-lora/export-lora.cpp
@@ -5,6 +5,7 @@
 #include "arg.h"
 #include "common.h"
 
+#include <clocale>
 #include <map>
 #include <vector>
 #include <string>
@@ -411,6 +412,8 @@ static void print_usage(int, char ** argv) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.out_file = "ggml-lora-merged-f16.gguf";
diff --git a/tools/gguf-split/gguf-split.cpp b/tools/gguf-split/gguf-split.cpp
index 30e771564e8..f99f0299b9c 100644
--- a/tools/gguf-split/gguf-split.cpp
+++ b/tools/gguf-split/gguf-split.cpp
@@ -6,6 +6,7 @@
 #include <algorithm>
 #include <cinttypes>
 #include <climits>
+#include <clocale>
 #include <cstdio>
 #include <cstdlib>
 #include <stdexcept>
@@ -567,6 +568,8 @@ static void gguf_merge(const split_params & split_params) {
 }
 
 int main(int argc, const char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     split_params params;
     split_params_parse(argc, argv, params);
 
diff --git a/tools/imatrix/README.md b/tools/imatrix/README.md
index 4505cb4ce8c..4cbe4fd0cf7 100644
--- a/tools/imatrix/README.md
+++ b/tools/imatrix/README.md
@@ -95,4 +95,4 @@ Weighted averages of Σ(Act²), ZD Score and CosSim are also calculated.
 #### Important note on the computed Statistics
 
 When using these statistics, please note that they are computed on the squared activations, **not on the actual (raw) activations**.
-Whilst the results are still useful, they're less realiable than using the raw values, and in the case of the cosine similarity, could be misleading if the tensor contains opposite vectors.
+Whilst the results are still useful, they're less reliable than using the raw values, and in the case of the cosine similarity, could be misleading if the tensor contains opposite vectors.
diff --git a/tools/imatrix/imatrix.cpp b/tools/imatrix/imatrix.cpp
index 669de55ddb9..bbedb159cd4 100644
--- a/tools/imatrix/imatrix.cpp
+++ b/tools/imatrix/imatrix.cpp
@@ -6,6 +6,7 @@
 
 #include <algorithm>
 #include <chrono>
+#include <clocale>
 #include <cmath>
 #include <cstdio>
 #include <cstring>
@@ -912,7 +913,9 @@ static bool compute_imatrix(llama_context * ctx, const common_params & params, c
 
     const bool add_bos = llama_vocab_get_add_bos(vocab);
 
-    GGML_ASSERT(!llama_vocab_get_add_eos(vocab));
+    if (llama_pooling_type(ctx) != LLAMA_POOLING_TYPE_LAST) {
+        GGML_ASSERT(!llama_vocab_get_add_eos(vocab));
+    }
 
     auto tim1 = std::chrono::high_resolution_clock::now();
     LOG_INF("%s: tokenizing the input ..\n", __func__);
@@ -1189,6 +1192,8 @@ static bool show_statistics(const common_params & params) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.out_file = "imatrix.gguf";
diff --git a/tools/llama-bench/llama-bench.cpp b/tools/llama-bench/llama-bench.cpp
index 7da6c3957c7..b0f1d6b936c 100644
--- a/tools/llama-bench/llama-bench.cpp
+++ b/tools/llama-bench/llama-bench.cpp
@@ -20,6 +20,7 @@
 #include <unordered_set>
 
 #include "common.h"
+#include "download.h"
 #include "ggml.h"
 #include "llama.h"
 
@@ -312,6 +313,9 @@ static std::vector<int> parse_int_range(const std::string & s) {
 
 struct cmd_params {
     std::vector<std::string>         model;
+    std::vector<std::string>         hf_repo;
+    std::vector<std::string>         hf_file;
+    std::string                      hf_token;
     std::vector<int>                 n_prompt;
     std::vector<int>                 n_gen;
     std::vector<std::pair<int, int>> n_pg;
@@ -351,6 +355,9 @@ struct cmd_params {
 
 static const cmd_params cmd_params_defaults = {
     /* model                */ { "models/7B/ggml-model-q4_0.gguf" },
+    /* hf_repo              */ {},
+    /* hf_file              */ {},
+    /* hf_token             */ "",
     /* n_prompt             */ { 512 },
     /* n_gen                */ { 128 },
     /* n_pg                 */ {},
@@ -372,7 +379,7 @@ static const cmd_params cmd_params_defaults = {
     /* devices              */ { {} },
     /* tensor_split         */ { std::vector<float>(llama_max_devices(), 0.0f) },
     /* tensor_buft_overrides*/ { std::vector<llama_model_tensor_buft_override>{ { nullptr, nullptr } } },
-    /* use_mmap             */ { false },
+    /* use_mmap             */ { true },
     /* use_direct_io        */ { false },
     /* embeddings           */ { false },
     /* no_op_offload        */ { false },
@@ -393,74 +400,57 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("\n");
     printf("options:\n");
     printf("  -h, --help\n");
-    printf("  --numa <distribute|isolate|numactl>       numa mode (default: disabled)\n");
-    printf("  -r, --repetitions <n>                     number of times to repeat each test (default: %d)\n",
-           cmd_params_defaults.reps);
-    printf("  --prio <-1|0|1|2|3>                          process/thread priority (default: %d)\n",
-           cmd_params_defaults.prio);
-    printf("  --delay <0...N> (seconds)                 delay between each test (default: %d)\n",
-           cmd_params_defaults.delay);
-    printf("  -o, --output <csv|json|jsonl|md|sql>      output format printed to stdout (default: %s)\n",
-           output_format_str(cmd_params_defaults.output_format));
-    printf("  -oe, --output-err <csv|json|jsonl|md|sql> output format printed to stderr (default: %s)\n",
-           output_format_str(cmd_params_defaults.output_format_stderr));
-    printf("  --list-devices                            list available devices and exit\n");
-    printf("  -v, --verbose                             verbose output\n");
-    printf("  --progress                                print test progress indicators\n");
-    printf("  --no-warmup                               skip warmup runs before benchmarking\n");
+    printf("  --numa <distribute|isolate|numactl>         numa mode (default: disabled)\n");
+    printf("  -r, --repetitions <n>                       number of times to repeat each test (default: %d)\n", cmd_params_defaults.reps);
+    printf("  --prio <-1|0|1|2|3>                         process/thread priority (default: %d)\n", cmd_params_defaults.prio);
+    printf("  --delay <0...N> (seconds)                   delay between each test (default: %d)\n", cmd_params_defaults.delay);
+    printf("  -o, --output <csv|json|jsonl|md|sql>        output format printed to stdout (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
+    printf("  -oe, --output-err <csv|json|jsonl|md|sql>   output format printed to stderr (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
+    printf("  --list-devices                              list available devices and exit\n");
+    printf("  -v, --verbose                               verbose output\n");
+    printf("  --progress                                  print test progress indicators\n");
+    printf("  --no-warmup                                 skip warmup runs before benchmarking\n");
     if (llama_supports_rpc()) {
-        printf("  -rpc, --rpc <rpc_servers>                 register RPC devices (comma separated)\n");
+        printf("  -rpc, --rpc <rpc_servers>                   register RPC devices (comma separated)\n");
     }
     printf("\n");
     printf("test parameters:\n");
-    printf("  -m, --model <filename>                    (default: %s)\n", join(cmd_params_defaults.model, ",").c_str());
-    printf("  -p, --n-prompt <n>                        (default: %s)\n",
-           join(cmd_params_defaults.n_prompt, ",").c_str());
-    printf("  -n, --n-gen <n>                           (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str());
-    printf("  -pg <pp,tg>                               (default: %s)\n",
-           join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str());
-    printf("  -d, --n-depth <n>                         (default: %s)\n",
-           join(cmd_params_defaults.n_depth, ",").c_str());
-    printf("  -b, --batch-size <n>                      (default: %s)\n",
-           join(cmd_params_defaults.n_batch, ",").c_str());
-    printf("  -ub, --ubatch-size <n>                    (default: %s)\n",
-           join(cmd_params_defaults.n_ubatch, ",").c_str());
-    printf("  -ctk, --cache-type-k <t>                  (default: %s)\n",
-           join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str());
-    printf("  -ctv, --cache-type-v <t>                  (default: %s)\n",
-           join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str());
-    printf("  -t, --threads <n>                         (default: %s)\n",
-           join(cmd_params_defaults.n_threads, ",").c_str());
-    printf("  -C, --cpu-mask <hex,hex>                  (default: %s)\n",
-           join(cmd_params_defaults.cpu_mask, ",").c_str());
-    printf("  --cpu-strict <0|1>                        (default: %s)\n",
-           join(cmd_params_defaults.cpu_strict, ",").c_str());
-    printf("  --poll <0...100>                          (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str());
-    printf("  -ngl, --n-gpu-layers <n>                  (default: %s)\n",
-           join(cmd_params_defaults.n_gpu_layers, ",").c_str());
-    printf("  -ncmoe, --n-cpu-moe <n>                   (default: %s)\n",
-           join(cmd_params_defaults.n_cpu_moe, ",").c_str());
-    printf("  -sm, --split-mode <none|layer|row>        (default: %s)\n",
-           join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
-    printf("  -mg, --main-gpu <i>                       (default: %s)\n",
-           join(cmd_params_defaults.main_gpu, ",").c_str());
-    printf("  -nkvo, --no-kv-offload <0|1>              (default: %s)\n",
-           join(cmd_params_defaults.no_kv_offload, ",").c_str());
-    printf("  -fa, --flash-attn <0|1>                   (default: %s)\n",
-           join(cmd_params_defaults.flash_attn, ",").c_str());
-    printf("  -dev, --device <dev0/dev1/...>            (default: auto)\n");
-    printf("  -mmp, --mmap <0|1>                        (default: %s)\n",
-           join(cmd_params_defaults.use_mmap, ",").c_str());
-    printf("  -dio, --direct-io <0|1>                   (default: %s)\n",
-           join(cmd_params_defaults.use_direct_io, ",").c_str());
-    printf("  -embd, --embeddings <0|1>                 (default: %s)\n",
-           join(cmd_params_defaults.embeddings, ",").c_str());
-    printf("  -ts, --tensor-split <ts0/ts1/..>          (default: 0)\n");
+    printf("  -m, --model <filename>                      (default: %s)\n", join(cmd_params_defaults.model, ",").c_str());
+    printf("  -hf, -hfr, --hf-repo <user>/<model>[:quant] Hugging Face model repository; quant is optional, case-insensitive\n");
+    printf("                                              default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.\n");
+    printf("                                              example: unsloth/phi-4-GGUF:Q4_K_M\n");
+    printf("                                              (default: unused)\n");
+    printf("  -hff, --hf-file <file>                      Hugging Face model file. If specified, it will override the quant in --hf-repo\n");
+    printf("                                              (default: unused)\n");
+    printf("  -hft, --hf-token <token>                    Hugging Face access token\n");
+    printf("                                              (default: value from HF_TOKEN environment variable)\n");
+    printf("  -p, --n-prompt <n>                          (default: %s)\n", join(cmd_params_defaults.n_prompt, ",").c_str());
+    printf("  -n, --n-gen <n>                             (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str());
+    printf("  -pg <pp,tg>                                 (default: %s)\n", join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str());
+    printf("  -d, --n-depth <n>                           (default: %s)\n", join(cmd_params_defaults.n_depth, ",").c_str());
+    printf("  -b, --batch-size <n>                        (default: %s)\n", join(cmd_params_defaults.n_batch, ",").c_str());
+    printf("  -ub, --ubatch-size <n>                      (default: %s)\n", join(cmd_params_defaults.n_ubatch, ",").c_str());
+    printf("  -ctk, --cache-type-k <t>                    (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str());
+    printf("  -ctv, --cache-type-v <t>                    (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str());
+    printf("  -t, --threads <n>                           (default: %s)\n", join(cmd_params_defaults.n_threads, ",").c_str());
+    printf("  -C, --cpu-mask <hex,hex>                    (default: %s)\n", join(cmd_params_defaults.cpu_mask, ",").c_str());
+    printf("  --cpu-strict <0|1>                          (default: %s)\n", join(cmd_params_defaults.cpu_strict, ",").c_str());
+    printf("  --poll <0...100>                            (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str());
+    printf("  -ngl, --n-gpu-layers <n>                    (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str());
+    printf("  -ncmoe, --n-cpu-moe <n>                     (default: %s)\n", join(cmd_params_defaults.n_cpu_moe, ",").c_str());
+    printf("  -sm, --split-mode <none|layer|row>          (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
+    printf("  -mg, --main-gpu <i>                         (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str());
+    printf("  -nkvo, --no-kv-offload <0|1>                (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str());
+    printf("  -fa, --flash-attn <0|1>                     (default: %s)\n", join(cmd_params_defaults.flash_attn, ",").c_str());
+    printf("  -dev, --device <dev0/dev1/...>              (default: auto)\n");
+    printf("  -mmp, --mmap <0|1>                          (default: %s)\n", join(cmd_params_defaults.use_mmap, ",").c_str());
+    printf("  -dio, --direct-io <0|1>                     (default: %s)\n", join(cmd_params_defaults.use_direct_io, ",").c_str());
+    printf("  -embd, --embeddings <0|1>                   (default: %s)\n", join(cmd_params_defaults.embeddings, ",").c_str());
+    printf("  -ts, --tensor-split <ts0/ts1/..>            (default: 0)\n");
     printf("  -ot --override-tensor <tensor name pattern>=<buffer type>;...\n");
-    printf("                                            (default: disabled)\n");
-    printf("  -nopo, --no-op-offload <0|1>              (default: 0)\n");
-    printf("  --no-host <0|1>                           (default: %s)\n",
-           join(cmd_params_defaults.no_host, ",").c_str());
+    printf("                                              (default: disabled)\n");
+    printf("  -nopo, --no-op-offload <0|1>                (default: 0)\n");
+    printf("  --no-host <0|1>                             (default: %s)\n", join(cmd_params_defaults.no_host, ",").c_str());
     printf("\n");
     printf(
         "Multiple values can be given for each parameter by separating them with ','\n"
@@ -514,6 +504,10 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
     params.progress             = cmd_params_defaults.progress;
     params.no_warmup            = cmd_params_defaults.no_warmup;
 
+    if (const char * env = getenv("HF_TOKEN")) {
+        params.hf_token = env;
+    }
+
     for (int i = 1; i < argc; i++) {
         arg = argv[i];
         if (arg.compare(0, arg_prefix.size(), arg_prefix) == 0) {
@@ -531,6 +525,26 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 }
                 auto p = string_split<std::string>(argv[i], split_delim);
                 params.model.insert(params.model.end(), p.begin(), p.end());
+            } else if (arg == "-hf" || arg == "-hfr" || arg == "--hf-repo") {
+                if (++i >= argc) {
+                    invalid_param = true;
+                    break;
+                }
+                auto p = string_split<std::string>(argv[i], split_delim);
+                params.hf_repo.insert(params.hf_repo.end(), p.begin(), p.end());
+            } else if (arg == "-hff" || arg == "--hf-file") {
+                if (++i >= argc) {
+                    invalid_param = true;
+                    break;
+                }
+                auto p = string_split<std::string>(argv[i], split_delim);
+                params.hf_file.insert(params.hf_file.end(), p.begin(), p.end());
+            } else if (arg == "-hft" || arg == "--hf-token") {
+                if (++i >= argc) {
+                    invalid_param = true;
+                    break;
+                }
+                params.hf_token = argv[i];
             } else if (arg == "-p" || arg == "--n-prompt") {
                 if (++i >= argc) {
                     invalid_param = true;
@@ -961,6 +975,44 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
         exit(1);
     }
 
+    if (!params.hf_repo.empty()) {
+        for (size_t i = 0; i < params.hf_repo.size(); i++) {
+            common_params_model model;
+
+            // step 1: no `-hff` provided, we auto-detect based on the `-hf` flag
+            if (params.hf_file.empty() || params.hf_file[i].empty()) {
+                auto auto_detected = common_get_hf_file(params.hf_repo[i], params.hf_token, false);
+                if (auto_detected.repo.empty() || auto_detected.ggufFile.empty()) {
+                    exit(1);
+                }
+
+                model.name    = params.hf_repo[i];
+                model.hf_repo = auto_detected.repo;
+                model.hf_file = auto_detected.ggufFile;
+            } else {
+                model.hf_file = params.hf_file[i];
+            }
+
+            // step 2: construct the model cache path
+            std::string clean_fname = model.hf_repo + "_" + model.hf_file;
+            string_replace_all(clean_fname, "\\", "_");
+            string_replace_all(clean_fname, "/", "_");
+            model.path = fs_get_cache_file(clean_fname);
+
+            // step 3: download the model if not exists
+            std::string model_endpoint = get_model_endpoint();
+            model.url = model_endpoint + model.hf_repo + "/resolve/main/" + model.hf_file;
+
+            bool ok = common_download_model(model, params.hf_token, false);
+            if (!ok) {
+                fprintf(stderr, "error: failed to download model from %s\n", model.url.c_str());
+                exit(1);
+            }
+
+            params.model.push_back(model.path);
+        }
+    }
+
     // set defaults
     if (params.model.empty()) {
         params.model = cmd_params_defaults.model;
@@ -2034,8 +2086,9 @@ static std::unique_ptr<printer> create_printer(output_formats format) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
     // try to set locale for unicode characters in markdown
-    setlocale(LC_CTYPE, ".UTF-8");
+    std::setlocale(LC_CTYPE, ".UTF-8");
 
 #if !defined(NDEBUG)
     fprintf(stderr, "warning: asserts enabled, performance may be affected\n");
diff --git a/tools/mtmd/CMakeLists.txt b/tools/mtmd/CMakeLists.txt
index 02d71f224e2..3be3c27e87b 100644
--- a/tools/mtmd/CMakeLists.txt
+++ b/tools/mtmd/CMakeLists.txt
@@ -20,9 +20,11 @@ add_library(mtmd
             models/internvl.cpp
             models/kimivl.cpp
             models/kimik25.cpp
+            models/nemotron-v2-vl.cpp
             models/llama4.cpp
             models/llava.cpp
             models/minicpmv.cpp
+            models/paddleocr.cpp
             models/pixtral.cpp
             models/qwen2vl.cpp
             models/qwen3vl.cpp
diff --git a/tools/mtmd/clip-impl.h b/tools/mtmd/clip-impl.h
index 3bc93ead867..06e1ffb7ca0 100644
--- a/tools/mtmd/clip-impl.h
+++ b/tools/mtmd/clip-impl.h
@@ -68,7 +68,7 @@
 
 #define TN_POS_EMBD        "%s.position_embd.weight"
 #define TN_CLASS_EMBD      "v.class_embd"
-#define TN_PATCH_EMBD      "v.patch_embd.weight"  // not rename tensor with ".0" postfix for backwrad compat
+#define TN_PATCH_EMBD      "v.patch_embd.weight"  // not rename tensor with ".0" postfix for backward compat
 #define TN_PATCH_EMBD_1    "v.patch_embd.weight.1"
 #define TN_PATCH_BIAS      "v.patch_embd.bias"
 #define TN_NORM_EMBD       "v.norm_embd.%s"
@@ -216,6 +216,7 @@ enum projector_type {
     PROJECTOR_TYPE_GEMMA3,
     PROJECTOR_TYPE_GEMMA3NV,
     PROJECTOR_TYPE_GEMMA3NA,
+    PROJECTOR_TYPE_PHI4,
     PROJECTOR_TYPE_IDEFICS3,
     PROJECTOR_TYPE_PIXTRAL,
     PROJECTOR_TYPE_QWEN25VL,
@@ -229,6 +230,7 @@ enum projector_type {
     PROJECTOR_TYPE_MUSIC_FLAMINGO,
     PROJECTOR_TYPE_LFM2,
     PROJECTOR_TYPE_KIMIVL,
+    PROJECTOR_TYPE_PADDLEOCR,
     PROJECTOR_TYPE_LIGHTONOCR,
     PROJECTOR_TYPE_COGVLM,
     PROJECTOR_TYPE_JANUS_PRO,
@@ -236,6 +238,7 @@ enum projector_type {
     PROJECTOR_TYPE_GLM4V,
     PROJECTOR_TYPE_YOUTUVL,
     PROJECTOR_TYPE_KIMIK25,
+    PROJECTOR_TYPE_NEMOTRON_V2_VL,
     PROJECTOR_TYPE_UNKNOWN,
 };
 
@@ -251,6 +254,7 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_GEMMA3,    "gemma3"},
     { PROJECTOR_TYPE_GEMMA3NV,  "gemma3nv"},
     { PROJECTOR_TYPE_GEMMA3NA,  "gemma3na"},
+    { PROJECTOR_TYPE_PHI4,      "phi4"},
     { PROJECTOR_TYPE_IDEFICS3,  "idefics3"},
     { PROJECTOR_TYPE_PIXTRAL,   "pixtral"},
     { PROJECTOR_TYPE_ULTRAVOX,  "ultravox"},
@@ -263,6 +267,7 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_MUSIC_FLAMINGO, "musicflamingo"},
     { PROJECTOR_TYPE_LFM2,      "lfm2"},
     { PROJECTOR_TYPE_KIMIVL,    "kimivl"},
+    { PROJECTOR_TYPE_PADDLEOCR, "paddleocr"},
     { PROJECTOR_TYPE_LIGHTONOCR,"lightonocr"},
     { PROJECTOR_TYPE_COGVLM,    "cogvlm"},
     { PROJECTOR_TYPE_JANUS_PRO, "janus_pro"},
@@ -270,6 +275,7 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_GLM4V,     "glm4v"},
     { PROJECTOR_TYPE_YOUTUVL,   "youtuvl"},
     { PROJECTOR_TYPE_KIMIK25,   "kimik25"},
+    { PROJECTOR_TYPE_NEMOTRON_V2_VL, "nemotron_v2_vl"},
 };
 
 static projector_type clip_projector_type_from_string(const std::string & str) {
diff --git a/tools/mtmd/clip-model.h b/tools/mtmd/clip-model.h
index d4ff9151bb0..eeb8da58e08 100644
--- a/tools/mtmd/clip-model.h
+++ b/tools/mtmd/clip-model.h
@@ -15,6 +15,7 @@ enum ffn_op_type {
     FFN_GELU_ERF,
     FFN_SILU,
     FFN_GELU_QUICK,
+    FFN_RELU_SQR,
 };
 
 enum norm_type {
@@ -45,7 +46,7 @@ struct clip_hparams {
     float image_std[3];
 
     // for models using dynamic image size, we need to have a smaller image size to warmup
-    // otherwise, user will get OOM everytime they load the model
+    // otherwise, user will get OOM every time they load the model
     int32_t warmup_image_size = 0;
     int32_t warmup_audio_size = 3000;
 
@@ -220,7 +221,7 @@ struct clip_model {
     // embeddings
     ggml_tensor * class_embedding = nullptr;
     ggml_tensor * patch_embeddings_0 = nullptr;
-    ggml_tensor * patch_embeddings_1 = nullptr;  // second Conv2D kernel when we decouple Conv3D along temproal dimension (Qwen2VL)
+    ggml_tensor * patch_embeddings_1 = nullptr;  // second Conv2D kernel when we decouple Conv3D along temporal dimension (Qwen2VL)
     ggml_tensor * patch_bias = nullptr;
     ggml_tensor * position_embeddings = nullptr;
     ggml_tensor * norm_embd_w = nullptr;
diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp
index eeccb4cda03..b6b31ae8666 100644
--- a/tools/mtmd/clip.cpp
+++ b/tools/mtmd/clip.cpp
@@ -342,9 +342,17 @@ ggml_tensor * clip_graph::build_vit(
                     /* nb2    */ cur->nb[1],
                     /* offset */ ggml_row_size(cur->type, 2 * n_embd));
 
-                // TODO: q/k norm requires row size == n_embd, while here it's d_head
-                // we can add support in the future if needed
-                GGML_ASSERT(layer.q_norm == nullptr && layer.k_norm == nullptr);
+                if (layer.q_norm) {
+                    GGML_ASSERT(layer.q_norm->ne[0] == Qcur->ne[0]);
+                    Qcur = build_norm(Qcur, layer.q_norm, NULL, norm_t, eps, il);
+                    cb(Qcur, "Qcur_norm", il);
+                }
+
+                if (layer.k_norm) {
+                    GGML_ASSERT(layer.k_norm->ne[0] == Kcur->ne[0]);
+                    Kcur = build_norm(Kcur, layer.k_norm, NULL, norm_t, eps, il);
+                    cb(Kcur, "Kcur_norm", il);
+                }
 
             } else {
                 // separate q, k, v
@@ -559,6 +567,12 @@ ggml_tensor * clip_graph::build_ffn(
                 cur = ggml_gelu_quick(ctx0, cur);
                 cb(cur, "ffn_gelu_quick", il);
             } break;
+        case FFN_RELU_SQR:
+            {
+                cur = ggml_relu(ctx0, cur);
+                cur = ggml_sqr(ctx0, cur);
+                cb(cur, "ffn_relu_sqr", il);
+            } break;
     }
 
     if (down) {
@@ -614,9 +628,6 @@ ggml_tensor * clip_graph::build_attn(
         ggml_tensor * v = ggml_permute(ctx0, v_cur, 1, 2, 0, 3);
         v = ggml_cont(ctx0, v);
 
-        const auto n_tokens = q->ne[1];
-        const auto n_head   = q->ne[2];
-
         ggml_tensor * kq = ggml_mul_mat(ctx0, k, q);
         // F32 may not needed for vision encoders?
         // ggml_mul_mat_set_prec(kq, GGML_PREC_F32);
@@ -625,7 +636,7 @@ ggml_tensor * clip_graph::build_attn(
 
         ggml_tensor * kqv = ggml_mul_mat(ctx0, v, kq);
         cur = ggml_permute(ctx0, kqv, 0, 2, 1, 3);
-        cur = ggml_cont_2d(ctx0, cur, cur->ne[0]*n_head, n_tokens);
+        cur = ggml_cont_2d(ctx0, cur, cur->ne[0] * cur->ne[1], cur->ne[2] * cur->ne[3]);
     }
 
     cb(cur, "kqv_out", il);
@@ -781,6 +792,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
         case PROJECTOR_TYPE_IDEFICS3:
         case PROJECTOR_TYPE_LFM2:
         case PROJECTOR_TYPE_JANUS_PRO:
+        case PROJECTOR_TYPE_PHI4:
             {
                 builder = std::make_unique<clip_graph_siglip>(ctx, img);
             } break;
@@ -810,6 +822,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_internvl>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_NEMOTRON_V2_VL:
+            {
+                builder = std::make_unique<clip_graph_nemotron_v2_vl>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_LLAMA4:
             {
                 builder = std::make_unique<clip_graph_llama4>(ctx, img);
@@ -826,6 +842,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_kimivl>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_PADDLEOCR:
+            {
+                builder = std::make_unique<clip_graph_paddleocr>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_KIMIK25:
             {
                 builder = std::make_unique<clip_graph_kimik25>(ctx, img);
@@ -1110,6 +1130,7 @@ struct clip_model_loader {
                         }
                     } break;
                 case PROJECTOR_TYPE_INTERNVL:
+                case PROJECTOR_TYPE_NEMOTRON_V2_VL:
                     {
                         get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
                     } break;
@@ -1124,6 +1145,13 @@ struct clip_model_loader {
                         // ref: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B/blob/main/processor_config.json
                         hparams.set_limit_image_tokens(64, 256);
                     } break;
+                case PROJECTOR_TYPE_PHI4:
+                    {
+                        hparams.n_merge = 1;
+                        get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
+                        get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
+                        hparams.set_warmup_n_tokens(16*16);
+                    } break;
                 case PROJECTOR_TYPE_PIXTRAL:
                 case PROJECTOR_TYPE_LIGHTONOCR:
                     {
@@ -1240,6 +1268,14 @@ struct clip_model_loader {
                         hparams.audio_window_len   = 400;
                         hparams.audio_hop_len      = 160;
                     } break;
+                case PROJECTOR_TYPE_PADDLEOCR:
+                    {
+                        hparams.n_merge = 2;
+                        get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
+                        get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
+
+                        hparams.set_warmup_n_tokens(28*28); // avoid OOM on warmup
+                    } break;
                 case PROJECTOR_TYPE_LFM2A:
                     {
                         // audio preprocessing params
@@ -1688,6 +1724,7 @@ struct clip_model_loader {
                     model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
                 } break;
             case PROJECTOR_TYPE_KIMIVL:
+            case PROJECTOR_TYPE_PADDLEOCR:
             case PROJECTOR_TYPE_KIMIK25:
                 {
                     model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM);
@@ -1767,6 +1804,12 @@ struct clip_model_loader {
                     model.mm_3_w = get_tensor(string_format(TN_MVLM_PROJ_MLP, 3, "weight"));
                     model.mm_3_b = get_tensor(string_format(TN_MVLM_PROJ_MLP, 3, "bias"));
                 } break;
+            case PROJECTOR_TYPE_NEMOTRON_V2_VL:
+                {
+                    model.mm_0_w = get_tensor(string_format(TN_MVLM_PROJ_MLP, 0, "weight"));
+                    model.mm_1_w = get_tensor(string_format(TN_MVLM_PROJ_MLP, 1, "weight"));
+                    model.mm_3_w = get_tensor(string_format(TN_MVLM_PROJ_MLP, 3, "weight"));
+                } break;
             case PROJECTOR_TYPE_GLMA:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -1806,6 +1849,13 @@ struct clip_model_loader {
                     model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 1, "weight"));
                     model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 1, "bias"));
                 } break;
+            case PROJECTOR_TYPE_PHI4:
+                {
+                    model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
+                } break;
             case PROJECTOR_TYPE_LFM2A:
                 {
                     for (int i : {0, 2, 3, 5, 6}) {
@@ -2252,7 +2302,7 @@ static void normalize_image_u8_to_f32(const clip_image_u8 & src, clip_image_f32
     }
 }
 
-// set of tools to manupulate images
+// set of tools to manipulate images
 // in the future, we can have HW acceleration by allowing this struct to access 3rd party lib like imagick or opencv
 struct img_tool {
     enum resize_algo {
@@ -2968,6 +3018,7 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, str
         case PROJECTOR_TYPE_QWEN25VL:
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
+        case PROJECTOR_TYPE_PADDLEOCR:
             {
                 GGML_ASSERT(params.image_min_pixels > 0 && params.image_max_pixels > 0);
                 clip_image_u8 resized;
@@ -3088,6 +3139,7 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, str
         case PROJECTOR_TYPE_GLM_EDGE:
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_INTERNVL: // TODO @ngxson : support dynamic resolution
+        case PROJECTOR_TYPE_NEMOTRON_V2_VL:
             {
                 clip_image_u8 resized_image;
                 int sz = params.image_size;
@@ -3120,6 +3172,7 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, str
                 res_imgs->entries.push_back(std::move(img_f32));
             } break;
 
+        case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_PIXTRAL:
         case PROJECTOR_TYPE_LIGHTONOCR:
             {
@@ -3307,6 +3360,7 @@ int clip_n_output_tokens_x(const struct clip_ctx * ctx, struct clip_image_f32 *
         case PROJECTOR_TYPE_QWEN25VL:
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
+        case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_YOUTUVL:
             return (img->nx / params.patch_size) / 2;
         default:
@@ -3323,6 +3377,7 @@ int clip_n_output_tokens_y(const struct clip_ctx * ctx, struct clip_image_f32 *
         case PROJECTOR_TYPE_QWEN25VL:
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
+        case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_YOUTUVL:
             return (img->ny / params.patch_size) / 2;
         default:
@@ -3344,6 +3399,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
         case PROJECTOR_TYPE_MLP:
         case PROJECTOR_TYPE_MLP_NORM:
         case PROJECTOR_TYPE_JANUS_PRO:
+        case PROJECTOR_TYPE_PHI4:
             {
                 // do nothing
             } break;
@@ -3397,6 +3453,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_IDEFICS3:
         case PROJECTOR_TYPE_INTERNVL:
+        case PROJECTOR_TYPE_NEMOTRON_V2_VL:
         case PROJECTOR_TYPE_LLAMA4:
             {
                 // both X and Y are downscaled by the scale factor
@@ -3419,6 +3476,13 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                 int y_patch = CLIP_ALIGN(img->ny, out_patch_size) / out_patch_size;
                 n_patches = x_patch * y_patch;
             } break;
+        case PROJECTOR_TYPE_PADDLEOCR:
+            {
+                // dynamic size
+                int n_merge = ctx->model.hparams.n_merge;
+                int stride = n_merge * n_merge;
+                n_patches = CLIP_ALIGN(n_patches, stride) / stride;
+            } break;
         case PROJECTOR_TYPE_PIXTRAL:
         case PROJECTOR_TYPE_LIGHTONOCR:
             {
@@ -3666,6 +3730,30 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                     }
                 }
 
+                set_input_i32("positions", positions);
+            } break;
+        case PROJECTOR_TYPE_PADDLEOCR:
+            {
+                const int merge_ratio = hparams.n_merge;
+                const int pw = image_size_width  / patch_size;
+                const int ph = image_size_height / patch_size;
+                std::vector<int> positions(n_pos * 4);
+                int ptr = 0;
+                // NOTE: same as Qwen-VL, but x and y are swapped
+                for (int y = 0; y < ph; y += merge_ratio) {
+                    for (int dy = 0; dy < 2; dy++) {
+                        for (int x = 0; x < pw; x += merge_ratio) {
+                            for (int dx = 0; dx < 2; dx++) {
+                                positions[                  ptr] = y + dy;
+                                positions[    num_patches + ptr] = x + dx;
+                                positions[2 * num_patches + ptr] = y + dy;
+                                positions[3 * num_patches + ptr] = x + dx;
+                                ptr++;
+                            }
+                        }
+                    }
+                }
+
                 set_input_i32("positions", positions);
             } break;
         case PROJECTOR_TYPE_QWEN25VL:
@@ -3805,6 +3893,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
         case PROJECTOR_TYPE_GEMMA3NV:
         case PROJECTOR_TYPE_IDEFICS3:
         case PROJECTOR_TYPE_INTERNVL:
+        case PROJECTOR_TYPE_NEMOTRON_V2_VL:
         case PROJECTOR_TYPE_QWEN2A:
         case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_ULTRAVOX:
@@ -3812,6 +3901,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
         case PROJECTOR_TYPE_JANUS_PRO:
+        case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_COGVLM:
             {
                 // do nothing
@@ -3941,6 +4031,7 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_LDPV2:
             return ctx->model.mm_model_peg_0_b->ne[0];
         case PROJECTOR_TYPE_MLP:
+        case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_PIXTRAL:
         case PROJECTOR_TYPE_LIGHTONOCR:
             return ctx->model.mm_2_w->ne[1];
@@ -3968,6 +4059,7 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             return ctx->model.mm_2_w->ne[1];
         case PROJECTOR_TYPE_INTERNVL:
+        case PROJECTOR_TYPE_NEMOTRON_V2_VL:
             return ctx->model.mm_3_w->ne[1];
         case PROJECTOR_TYPE_LLAMA4:
             return ctx->model.mm_model_proj->ne[1];
@@ -3977,6 +4069,7 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
             return ctx->model.mm_2_w->ne[1];
         case PROJECTOR_TYPE_LFM2:
         case PROJECTOR_TYPE_KIMIVL:
+        case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_KIMIK25:
             return ctx->model.mm_2_w->ne[1];
         case PROJECTOR_TYPE_COGVLM:
diff --git a/tools/mtmd/deprecation-warning.cpp b/tools/mtmd/deprecation-warning.cpp
index dded0a56af9..2b31a9d8b0b 100644
--- a/tools/mtmd/deprecation-warning.cpp
+++ b/tools/mtmd/deprecation-warning.cpp
@@ -1,7 +1,10 @@
+#include <clocale>
 #include <cstdio>
 #include <string>
 
 int main(int argc, char** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     std::string filename = "main";
     if (argc >= 1) {
         filename = argv[0];
diff --git a/tools/mtmd/legacy-models/minicpmv-convert-image-encoder-to-gguf.py b/tools/mtmd/legacy-models/minicpmv-convert-image-encoder-to-gguf.py
index 944037e703e..1f563fbfc59 100644
--- a/tools/mtmd/legacy-models/minicpmv-convert-image-encoder-to-gguf.py
+++ b/tools/mtmd/legacy-models/minicpmv-convert-image-encoder-to-gguf.py
@@ -186,7 +186,7 @@ def trunc_normal_tf_(
     best when :math:`a \\leq \text{mean} \\leq b`.
     NOTE: this 'tf' variant behaves closer to Tensorflow / JAX impl where the
     bounds [a, b] are applied when sampling the normal distribution with mean=0, std=1.0
-    and the result is subsquently scaled and shifted by the mean and std args.
+    and the result is subsequently scaled and shifted by the mean and std args.
     Args:
         tensor: an n-dimensional `torch.Tensor`
         mean: the mean of the normal distribution
diff --git a/tools/mtmd/models/glm4v.cpp b/tools/mtmd/models/glm4v.cpp
index f39b6922eb5..6f52df41ab0 100644
--- a/tools/mtmd/models/glm4v.cpp
+++ b/tools/mtmd/models/glm4v.cpp
@@ -2,7 +2,6 @@
 
 ggml_cgraph * clip_graph_glm4v::build() {
     GGML_ASSERT(model.patch_bias != nullptr);
-    GGML_ASSERT(model.position_embeddings != nullptr);
     GGML_ASSERT(model.class_embedding == nullptr);
 
     const int batch_size = 1;
@@ -45,19 +44,22 @@ ggml_cgraph * clip_graph_glm4v::build() {
     // pos-conv norm
     inp = build_norm(inp, model.norm_embd_w, model.norm_embd_b, norm_t, eps, -1);
 
-    // calculate absolute position embedding and apply
-    ggml_tensor * learned_pos_embd = resize_position_embeddings(GGML_SCALE_MODE_BICUBIC);
-    learned_pos_embd = ggml_cont_4d(
-        ctx0, learned_pos_embd,
-        n_embd * 2, n_patches_x / 2, n_patches_y, batch_size);
-    learned_pos_embd = ggml_reshape_4d(
-        ctx0, learned_pos_embd,
-        n_embd * 2, n_patches_x / 2, 2, batch_size * (n_patches_y / 2));
-    learned_pos_embd = ggml_permute(ctx0, learned_pos_embd, 0, 2, 1, 3);
-    learned_pos_embd = ggml_cont_3d(
-        ctx0, learned_pos_embd,
-        n_embd, n_patches_x * n_patches_y, batch_size);
-    cb(learned_pos_embd, "learned_pos_embd", -1);
+    ggml_tensor * learned_pos_embd = nullptr;
+    // Note: GLM-OCR does not have learned position embeddings
+    if (model.position_embeddings != nullptr) {
+        learned_pos_embd = resize_position_embeddings(GGML_SCALE_MODE_BICUBIC);
+        learned_pos_embd = ggml_cont_4d(
+            ctx0, learned_pos_embd,
+            n_embd * 2, n_patches_x / 2, n_patches_y, batch_size);
+        learned_pos_embd = ggml_reshape_4d(
+            ctx0, learned_pos_embd,
+            n_embd * 2, n_patches_x / 2, 2, batch_size * (n_patches_y / 2));
+        learned_pos_embd = ggml_permute(ctx0, learned_pos_embd, 0, 2, 1, 3);
+        learned_pos_embd = ggml_cont_3d(
+            ctx0, learned_pos_embd,
+            n_embd, n_patches_x * n_patches_y, batch_size);
+        cb(learned_pos_embd, "learned_pos_embd", -1);
+    }
 
     auto add_pos = [&](ggml_tensor * cur, const clip_layer &) {
         return ggml_rope_multi(
diff --git a/tools/mtmd/models/models.h b/tools/mtmd/models/models.h
index c4c67ace627..aff222c71d3 100644
--- a/tools/mtmd/models/models.h
+++ b/tools/mtmd/models/models.h
@@ -42,6 +42,11 @@ struct clip_graph_internvl : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_nemotron_v2_vl : clip_graph {
+    clip_graph_nemotron_v2_vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_llama4 : clip_graph {
     clip_graph_llama4(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -52,6 +57,11 @@ struct clip_graph_kimivl : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_paddleocr : clip_graph {
+    clip_graph_paddleocr(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_cogvlm : clip_graph {
     clip_graph_cogvlm(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
diff --git a/tools/mtmd/models/nemotron-v2-vl.cpp b/tools/mtmd/models/nemotron-v2-vl.cpp
new file mode 100644
index 00000000000..03094be1b27
--- /dev/null
+++ b/tools/mtmd/models/nemotron-v2-vl.cpp
@@ -0,0 +1,35 @@
+#include "models.h"
+
+ggml_cgraph * clip_graph_nemotron_v2_vl::build() {
+    GGML_ASSERT(model.class_embedding != nullptr);
+    GGML_ASSERT(model.position_embeddings != nullptr);
+
+    const int n_registers = model.class_embedding->ne[1];
+    const int n_pos = n_patches + n_registers;
+
+    ggml_tensor * inp = build_inp();
+
+    // add position embeddings (pre-downsampled during GGUF conversion for fixed 512x512 input)
+    inp = ggml_add(ctx0, inp, model.position_embeddings);
+    cb(inp, "inp_pos", -1);
+
+    inp = ggml_concat(ctx0, model.class_embedding, inp, 1);
+
+    ggml_tensor * cur = build_vit(inp, n_pos, NORM_TYPE_NORMAL, hparams.ffn_op, nullptr, nullptr);
+
+    cur = ggml_view_2d(ctx0, cur,
+        n_embd, n_patches,
+        ggml_row_size(cur->type, n_embd),
+        n_registers * ggml_row_size(cur->type, n_embd));
+
+    cur = build_patch_merge_permute(cur, model.hparams.n_merge);
+
+    {
+        cur = build_norm(cur, model.mm_0_w, nullptr, NORM_TYPE_RMS, 1e-6, -1);
+        cur = build_ffn(cur, model.mm_1_w, nullptr, nullptr, nullptr, model.mm_3_w, nullptr, FFN_RELU_SQR, -1);
+    }
+
+    ggml_build_forward_expand(gf, cur);
+
+    return gf;
+}
diff --git a/tools/mtmd/models/paddleocr.cpp b/tools/mtmd/models/paddleocr.cpp
new file mode 100644
index 00000000000..5d3a13fb571
--- /dev/null
+++ b/tools/mtmd/models/paddleocr.cpp
@@ -0,0 +1,52 @@
+#include "models.h"
+
+ggml_cgraph * clip_graph_paddleocr::build() {
+    const int n_pos            = n_patches;
+    const int num_position_ids = n_pos * 4; // m-rope requires 4 dim per position
+
+    int mrope_sections[4] = {d_head/4, d_head/4, d_head/4, d_head/4};
+
+    ggml_tensor * positions = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, num_position_ids);
+    ggml_set_name(positions, "positions");
+    ggml_set_input(positions);
+
+    auto add_pos = [&](ggml_tensor * cur, const clip_layer &) {
+        return ggml_rope_multi(
+                    ctx0, cur, positions, nullptr,
+                    d_head/2, mrope_sections, GGML_ROPE_TYPE_VISION,
+                    32768, 10000, 1, 0, 1, 32, 1);
+    };
+
+    ggml_tensor * learned_pos_embd = resize_position_embeddings();
+    ggml_tensor * inp = build_inp();
+    ggml_tensor * cur = build_vit(
+                            inp, n_patches,
+                            NORM_TYPE_NORMAL,
+                            hparams.ffn_op,
+                            learned_pos_embd,
+                            add_pos);
+
+    cb(cur, "vit_out", -1);
+
+    {
+        // mlp_AR paddleocr projector
+        float proj_norm_eps = 1e-5;
+        cur = build_norm(cur,
+                    model.mm_input_norm_w, model.mm_input_norm_b,
+                    NORM_TYPE_NORMAL, proj_norm_eps, -1);
+
+        const int scale_factor = model.hparams.n_merge;
+        cur = build_patch_merge_permute(cur, scale_factor);
+        cur = build_ffn(cur,
+                    model.mm_1_w, model.mm_1_b,
+                    nullptr, nullptr,
+                    model.mm_2_w, model.mm_2_b,
+                    hparams.ffn_op, -1);
+        cb(cur, "mlp_out", -1);
+    }
+
+    // build the graph
+    ggml_build_forward_expand(gf, cur);
+
+    return gf;
+}
diff --git a/tools/mtmd/models/siglip.cpp b/tools/mtmd/models/siglip.cpp
index b866a11c5aa..75f9b4db448 100644
--- a/tools/mtmd/models/siglip.cpp
+++ b/tools/mtmd/models/siglip.cpp
@@ -4,7 +4,7 @@ ggml_cgraph * clip_graph_siglip::build() {
     ggml_tensor * inp = build_inp();
 
     ggml_tensor * learned_pos_embd = model.position_embeddings;
-    if (proj_type == PROJECTOR_TYPE_LFM2) {
+    if (proj_type == PROJECTOR_TYPE_LFM2 || proj_type == PROJECTOR_TYPE_PHI4) {
         learned_pos_embd = resize_position_embeddings();
     }
 
@@ -75,6 +75,14 @@ ggml_cgraph * clip_graph_siglip::build() {
             hparams.ffn_op,
             -1);
 
+    } else if (proj_type == PROJECTOR_TYPE_PHI4) {
+        cur = build_ffn(cur,
+            model.mm_0_w, model.mm_0_b,
+            nullptr, nullptr,
+            model.mm_2_w, model.mm_2_b,
+            FFN_GELU,
+            -1);
+
     } else {
         GGML_ABORT("SigLIP: Unsupported projector type");
     }
diff --git a/tools/mtmd/mtmd-audio.cpp b/tools/mtmd/mtmd-audio.cpp
index e8eef035ff5..447f61aaa40 100644
--- a/tools/mtmd/mtmd-audio.cpp
+++ b/tools/mtmd/mtmd-audio.cpp
@@ -560,7 +560,7 @@ bool mtmd_audio_preprocessor_whisper::preprocess(const float *                 s
     for (size_t off = 0; off < (size_t) out_full.n_len; off += frames_per_chunk) {
         int n_len = std::min(frames_per_chunk, (size_t) out_full.n_len - off);
         if ((size_t) n_len < frames_per_chunk) {
-            break;  // last uncomplete chunk will always be a padded chunk, safe to ignore
+            break;  // last incomplete chunk will always be a padded chunk, safe to ignore
         }
 
         mtmd_audio_mel out_chunk;
diff --git a/tools/mtmd/mtmd-cli.cpp b/tools/mtmd/mtmd-cli.cpp
index 054c7faa6af..ba00e08534f 100644
--- a/tools/mtmd/mtmd-cli.cpp
+++ b/tools/mtmd/mtmd-cli.cpp
@@ -13,6 +13,7 @@
 #include <vector>
 #include <limits.h>
 #include <cinttypes>
+#include <clocale>
 
 #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
 #include <signal.h>
@@ -274,6 +275,8 @@ static int eval_message(mtmd_cli_context & ctx, common_chat_msg & msg) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     ggml_time_init();
 
     common_params params;
diff --git a/tools/mtmd/mtmd-helper.cpp b/tools/mtmd/mtmd-helper.cpp
index 902a4b456d9..5bcb7ec1bc0 100644
--- a/tools/mtmd/mtmd-helper.cpp
+++ b/tools/mtmd/mtmd-helper.cpp
@@ -248,7 +248,7 @@ int32_t mtmd_helper_decode_image_chunk(
 
     int32_t n_tokens = mtmd_input_chunk_get_n_tokens(chunk);
     int32_t i_batch = 0;
-    int32_t n_img_batches = GGML_PAD(n_tokens, n_batch) / n_batch;
+    int32_t n_img_batches = (n_tokens + n_batch - 1) / n_batch;
     decode_embd_batch batch_embd(encoded_embd, n_tokens, n_pos_per_embd, n_mmproj_embd);
 
     if (mtmd_decode_use_mrope(ctx)) {
@@ -470,12 +470,12 @@ static bool decode_audio_from_buf(const unsigned char * buf_in, size_t len, int
 mtmd_bitmap * mtmd_helper_bitmap_init_from_buf(mtmd_context * ctx, const unsigned char * buf, size_t len) {
     if (audio_helpers::is_audio_file((const char *)buf, len)) {
         std::vector<float> pcmf32;
-        int bitrate = mtmd_get_audio_bitrate(ctx);
-        if (bitrate < 0) {
+        const int sample_rate = mtmd_get_audio_sample_rate(ctx);
+        if (sample_rate < 0) {
             LOG_ERR("This model does not support audio input\n");
             return nullptr;
         }
-        if (!audio_helpers::decode_audio_from_buf(buf, len, bitrate, pcmf32)) {
+        if (!audio_helpers::decode_audio_from_buf(buf, len, sample_rate, pcmf32)) {
             LOG_ERR("Unable to read WAV audio file from buffer\n");
             return nullptr;
         }
diff --git a/tools/mtmd/mtmd.cpp b/tools/mtmd/mtmd.cpp
index b7636279cb6..1a95acd439c 100644
--- a/tools/mtmd/mtmd.cpp
+++ b/tools/mtmd/mtmd.cpp
@@ -175,7 +175,7 @@ struct mtmd_context {
 
         clip_context_params ctx_clip_params {
             /* use_gpu           */ ctx_params.use_gpu,
-            /* flash_attn_type   */ CLIP_FLASH_ATTN_TYPE_AUTO,
+            /* flash_attn_type   */ mtmd_get_clip_flash_attn_type(ctx_params.flash_attn_type),
             /* image_min_tokens  */ ctx_params.image_min_tokens,
             /* image_max_tokens  */ ctx_params.image_max_tokens,
             /* warmup            */ ctx_params.warmup,
@@ -290,6 +290,9 @@ struct mtmd_context {
             img_beg = "<|vision_start|>";
             img_end = "<|vision_end|>";
 
+        } else if (proj == PROJECTOR_TYPE_PHI4) {
+            // Phi-4 uses media marker insertion only. Keep image boundary text empty.
+
         } else if (proj == PROJECTOR_TYPE_LLAMA4) {
             // (more details in mtmd_context constructor)
             img_beg = "<|image_start|>";
@@ -325,6 +328,10 @@ struct mtmd_context {
             img_beg = "<|begin_of_image|>";
             img_end = "<|end_of_image|>";
 
+        } else if (proj == PROJECTOR_TYPE_PADDLEOCR) {
+            // <|IMAGE_START|> ... (image embeddings) ... <|IMAGE_END|>
+            img_beg = "<|IMAGE_START|>";
+            img_end = "<|IMAGE_END|>";
         }
     }
 
@@ -890,6 +897,7 @@ bool mtmd_decode_use_mrope(mtmd_context * ctx) {
         case PROJECTOR_TYPE_QWEN25VL:
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
+        case PROJECTOR_TYPE_PADDLEOCR:
             return true;
         default:
             return false;
@@ -904,7 +912,7 @@ bool mtmd_support_audio(mtmd_context * ctx) {
     return ctx->ctx_a != nullptr;
 }
 
-int mtmd_get_audio_bitrate(mtmd_context * ctx) {
+int mtmd_get_audio_sample_rate(mtmd_context * ctx) {
     if (!ctx->ctx_a) {
         return -1;
     }
diff --git a/tools/mtmd/mtmd.h b/tools/mtmd/mtmd.h
index ef25d32bbef..ebb4a18fb33 100644
--- a/tools/mtmd/mtmd.h
+++ b/tools/mtmd/mtmd.h
@@ -125,9 +125,9 @@ MTMD_API bool mtmd_support_vision(mtmd_context * ctx);
 // whether the current model supports audio input
 MTMD_API bool mtmd_support_audio(mtmd_context * ctx);
 
-// get audio bitrate in Hz, for example 16000 for Whisper
+// get audio sample rate in Hz, for example 16000 for Whisper
 // return -1 if audio is not supported
-MTMD_API int mtmd_get_audio_bitrate(mtmd_context * ctx);
+MTMD_API int mtmd_get_audio_sample_rate(mtmd_context * ctx);
 
 // mtmd_bitmap
 //
diff --git a/tools/mtmd/tests.sh b/tools/mtmd/tests.sh
index 012958e0e0e..d2b7e684af4 100755
--- a/tools/mtmd/tests.sh
+++ b/tools/mtmd/tests.sh
@@ -28,6 +28,14 @@ if [ "${1:-}" = "huge" ]; then
     echo "Include BIG and HUGE models..."
 fi
 
+# Check if the second argument is "flash", then enable flash attention
+# This is useful to test if flash attention off works correctly
+FLASH_ATTN="on"
+if [ "${2:-}" = "flash_off" ] || [ "${1:-}" = "flash_off" ]; then
+    FLASH_ATTN="off"
+    echo "Flash attention disabled..."
+fi
+
 ###############
 
 arr_prefix=()
@@ -143,6 +151,7 @@ for i in "${!arr_hf[@]}"; do
         -hf $(printf %q "$hf") \
         --image $(printf %q "$SCRIPT_DIR/$inp_file") \
         --temp 0 -n 128 \
+        --flash-attn $(printf %q "$FLASH_ATTN") \
         ${extra_args}"
 
     # if extra_args does not contain -p, we add a default prompt
diff --git a/tools/parser/CMakeLists.txt b/tools/parser/CMakeLists.txt
new file mode 100644
index 00000000000..55e0c634375
--- /dev/null
+++ b/tools/parser/CMakeLists.txt
@@ -0,0 +1,20 @@
+if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
+    # this tool is disabled on Windows when building with shared libraries because it uses internal functions not exported with LLAMA_API
+    set(TARGET llama-debug-template-parser)
+    add_executable(${TARGET} debug-template-parser.cpp)
+    target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+    target_compile_features(${TARGET} PRIVATE cxx_std_17)
+
+    if(LLAMA_TOOLS_INSTALL)
+        install(TARGETS ${TARGET} RUNTIME)
+    endif()
+endif()
+
+set(TARGET llama-template-analysis)
+add_executable(${TARGET} template-analysis.cpp)
+target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_17)
+
+if(LLAMA_TOOLS_INSTALL)
+    install(TARGETS ${TARGET} RUNTIME)
+endif()
diff --git a/tools/parser/debug-template-parser.cpp b/tools/parser/debug-template-parser.cpp
new file mode 100644
index 00000000000..ffa3a5af7ab
--- /dev/null
+++ b/tools/parser/debug-template-parser.cpp
@@ -0,0 +1,452 @@
+#include "../src/llama-grammar.h"
+#include "chat-auto-parser.h"
+#include "chat.h"
+#include "common.h"
+#include "gguf.h"
+#include "jinja/runtime.h"
+#include "log.h"
+
+#include <fstream>
+#include <numeric>
+#include <sstream>
+#include <string>
+
+#include "nlohmann/json.hpp"
+#include "peg-parser.h"
+
+using json = nlohmann::ordered_json;
+
+enum class output_mode {
+    ANALYSIS,  // Only output analysis results (default)
+    TEMPLATE,  // Only output rendered template
+    BOTH       // Output both
+};
+
+enum class input_message_type {
+    NONE,                    // Don't render any message scenarios (only analysis)
+    CONTENT_ONLY,            // Simple assistant message with content
+    REASONING_CONTENT,       // Message with reasoning_content + content
+    TOOL_CALL_ONLY,          // Message with tool_calls only
+    CONTENT_TOOL_CALL,       // Message with content + tool_calls
+    REASONING_TOOL_CALL,     // Message with reasoning_content + tool_calls
+    CONTENT_FAKE_TOOL_CALL,  // Message with content but no actual tool_calls (for testing)
+    ALL                      // Render all scenarios
+};
+
+struct debug_options {
+    std::string      template_path;
+    bool             with_tools        = true;
+    bool             generation_prompt = true;
+    bool             enable_reasoning  = true;
+    bool             debug_jinja       = false;
+    bool             force_tool_call   = false;
+    output_mode      mode              = output_mode::BOTH;
+    input_message_type input_message   = input_message_type::NONE;
+};
+
+static std::string read_file(const std::string & path) {
+    std::ifstream fin(path, std::ios::binary);
+    if (!fin.is_open()) {
+        throw std::runtime_error("Could not open file: " + path);
+    }
+    std::ostringstream buf;
+    buf << fin.rdbuf();
+    return buf.str();
+}
+
+static std::string read_gguf_chat_template(const std::string & path) {
+    struct gguf_init_params params = { /*no_alloc =*/true,  // We only need metadata, not tensor data
+                                       /*ctx=*/nullptr };
+
+    struct gguf_context * ctx = gguf_init_from_file(path.c_str(), params);
+    if (ctx == nullptr) {
+        throw std::runtime_error("Could not open GGUF file: " + path);
+    }
+
+    const char * key    = "tokenizer.chat_template";
+    int64_t      key_id = gguf_find_key(ctx, key);
+
+    if (key_id == -1) {
+        gguf_free(ctx);
+        throw std::runtime_error("GGUF file does not contain chat template key: " + std::string(key));
+    }
+
+    const char * template_str = gguf_get_val_str(ctx, key_id);
+    if (template_str == nullptr) {
+        gguf_free(ctx);
+        throw std::runtime_error("GGUF file contains chat template key but value is null");
+    }
+
+    std::string result = template_str;
+    gguf_free(ctx);
+    return result;
+}
+
+static void print_usage(const char * program_name) {
+    LOG_ERR("Usage: %s <template_or_gguf_path> [options]\n", program_name);
+    LOG_ERR("\nOptions:\n");
+    LOG_ERR("  --no-tools              Disable tool definitions\n");
+    LOG_ERR("  --force-tool-call       Set tool calls to forced\n");
+    LOG_ERR("  --generation-prompt=0|1 Set add_generation_prompt (default: 1)\n");
+    LOG_ERR("  --enable-reasoning=0|1  Enable reasoning parsing (default: 1)\n");
+    LOG_ERR("  --output=MODE           Output mode: analysis, template, both (default: both)\n");
+    LOG_ERR("  --debug-jinja           Enable Jinja fine-grained debug\n");
+    LOG_ERR("  --input-message=TYPE    Message type to render:\n");
+    LOG_ERR("                          content_only, reasoning_content, tool_call_only,\n");
+    LOG_ERR("                          content_tool_call, reasoning_tool_call,\n");
+    LOG_ERR("                          content_fake_tool_call, all\n");
+    LOG_ERR("\nExamples:\n");
+    LOG_ERR("  %s template.jinja --input-message=all --generation-prompt=1\n", program_name);
+    LOG_ERR("  %s template.jinja --output=template --input-message=tool_call_only\n", program_name);
+}
+
+static bool parse_bool_option(const std::string & value) {
+    return value == "1" || value == "true" || value == "yes";
+}
+
+static bool parse_options(int argc, char ** argv, debug_options & opts) {
+    if (argc < 2) {
+        print_usage(argv[0]);
+        return false;
+    }
+
+    opts.template_path = argv[1];
+
+    for (int i = 2; i < argc; ++i) {
+        std::string arg = argv[i];
+
+        if (arg == "--force-tool-call") {
+            opts.force_tool_call = true;
+        } else if (arg == "--debug-jinja") {
+            opts.debug_jinja = true;
+        } else if (arg == "--no-tools") {
+            opts.with_tools = false;
+        } else if (arg.rfind("--generation-prompt=", 0) == 0) {
+            opts.generation_prompt = parse_bool_option(arg.substr(20));
+        } else if (arg.rfind("--enable-reasoning=", 0) == 0) {
+            opts.enable_reasoning = parse_bool_option(arg.substr(19));
+        } else if (arg.rfind("--output=", 0) == 0) {
+            std::string mode = arg.substr(9);
+            if (mode == "analysis") {
+                opts.mode = output_mode::ANALYSIS;
+            } else if (mode == "template") {
+                opts.mode = output_mode::TEMPLATE;
+            } else if (mode == "both") {
+                opts.mode = output_mode::BOTH;
+            } else {
+                LOG_ERR("Unknown output mode: %s\n", mode.c_str());
+                return false;
+            }
+        } else if (arg.rfind("--input-message=", 0) == 0) {
+            std::string type = arg.substr(16);
+            if (type == "content_only") {
+                opts.input_message = input_message_type::CONTENT_ONLY;
+            } else if (type == "reasoning_content") {
+                opts.input_message = input_message_type::REASONING_CONTENT;
+            } else if (type == "tool_call_only") {
+                opts.input_message = input_message_type::TOOL_CALL_ONLY;
+            } else if (type == "content_tool_call") {
+                opts.input_message = input_message_type::CONTENT_TOOL_CALL;
+            } else if (type == "reasoning_tool_call") {
+                opts.input_message = input_message_type::REASONING_TOOL_CALL;
+            } else if (type == "content_fake_tool_call") {
+                opts.input_message = input_message_type::CONTENT_FAKE_TOOL_CALL;
+            } else if (type == "all") {
+                opts.input_message = input_message_type::ALL;
+            } else {
+                LOG_ERR("Unknown input message type: %s\n", type.c_str());
+                return false;
+            }
+        } else {
+            LOG_ERR("Unknown option: %s\n", arg.c_str());
+            print_usage(argv[0]);
+            return false;
+        }
+    }
+
+    return true;
+}
+
+static json build_user_message() {
+    return json{
+        { "role",    "user"                               },
+        { "content", "Hello, please help me with a task." }
+    };
+}
+
+static json build_content_only_message() {
+    return json{
+        { "role",    "assistant"                                   },
+        { "content", "Hello! I'm here to help you with your task." }
+    };
+}
+
+static json build_reasoning_content_message() {
+    return json{
+        { "role",              "assistant"                                                               },
+        { "content",           "Hello! I'm here to help you with your task."                             },
+        { "reasoning_content", "The user is greeting me and asking for help. I should respond politely." }
+    };
+}
+
+static json build_tool_call_only_message() {
+    return json{
+        { "role",       "assistant"      },
+        { "content",    nullptr          },
+        { "tool_calls",
+         json::array({ json{
+              { "type", "function" },
+              { "function", json{ { "name", "test_function_name" },
+                                  { "arguments", json::object({ { "param1", "value1" }, { "param2", "value2" } }) } } },
+              { "id", "123456789" } } }) }
+    };
+}
+
+static json build_content_tool_call_message() {
+    return json{
+        { "role",       "assistant"                                                                              },
+        { "content",    "I'll help you by calling a function."                                                   },
+        { "tool_calls",
+         json::array({ json{
+              { "type", "function" },
+              { "function",
+                json{ { "name", "test_function_name" },
+                      { "arguments", json::object({ { "param1", "value1" }, { "param2", "value2" } }) } } } } }) }
+    };
+}
+
+static json build_reasoning_tool_call_message() {
+    return json{
+        { "role",              "assistant"                                                                       },
+        { "content",           nullptr                                                                           },
+        { "reasoning_content", "I need to call a function to help with this task."                               },
+        { "tool_calls",
+         json::array({ json{
+              { "type", "function" },
+              { "function",
+                json{ { "name", "test_function_name" },
+                      { "arguments", json::object({ { "param1", "value1" }, { "param2", "value2" } }) } } } } }) }
+    };
+}
+
+static json build_content_fake_tool_call_message() {
+    // This message has content but NO tool_calls field
+    // It's used to test if a template renders tool definitions but not tool calls
+    return json{
+        { "role",    "assistant"                            },
+        { "content", "I'll help you by calling a function." }
+    };
+}
+
+static json build_tools_definition() {
+    json parameters_schema                    = json::object();
+    parameters_schema["type"]                 = "object";
+    parameters_schema["properties"]           = json::object();
+    parameters_schema["properties"]["param1"] = json::object({
+        { "type",        "string"          },
+        { "description", "First parameter" }
+    });
+    parameters_schema["properties"]["param2"] = json::object({
+        { "type",        "string"           },
+        { "description", "Second parameter" }
+    });
+    parameters_schema["required"]             = json::array({ "param1" });
+
+    return json::array({
+        json{ { "type", "function" },
+             { "function", json{ { "name", "test_function_name" },
+                                  { "description", "A test function for debugging" },
+                                  { "parameters", parameters_schema } } } }
+    });
+}
+
+static void render_scenario(const common_chat_template & tmpl,
+                            const std::string &          scenario_name,
+                            const json &                 messages,
+                            const json &                 tools,
+                            bool                         add_generation_prompt,
+                            bool                         enable_thinking) {
+    LOG_ERR("\n=== Scenario: %s ===\n", scenario_name.c_str());
+    LOG_ERR("add_generation_prompt: %s, enable_thinking: %s\n", add_generation_prompt ? "true" : "false",
+            enable_thinking ? "true" : "false");
+
+    // When add_generation_prompt is true, add a trailing user message to trigger the prompt
+    json final_messages = messages;
+    if (add_generation_prompt && !messages.empty() && messages.back().value("role", "") == "assistant") {
+        final_messages.push_back(json{
+            { "role",    "user" },
+            { "content", "Now please continue with another response." }
+        });
+    }
+
+    LOG_ERR("Messages:\n%s\n", final_messages.dump(2).c_str());
+
+    try {
+        autoparser::templates_params inputs;
+        inputs.messages                         = final_messages;
+        inputs.add_generation_prompt            = add_generation_prompt;
+        inputs.extra_context["enable_thinking"] = enable_thinking;
+
+        if (!tools.is_null() && tools.is_array() && !tools.empty()) {
+            inputs.tools = tools;
+        }
+
+        std::string output = common_chat_template_direct_apply(tmpl, inputs);
+
+        LOG_ERR("\n--- Rendered Output ---\n");
+        LOG_ERR("%s\n", output.c_str());
+        LOG_ERR("--- End Output (length: %zu) ---\n", output.length());
+    } catch (const std::exception & e) {
+        LOG_ERR("Rendering failed: %s\n", e.what());
+    }
+}
+
+static void render_all_scenarios(const common_chat_template & tmpl,
+                                 const json &                 tools,
+                                 bool                         add_generation_prompt,
+                                 bool                         enable_thinking,
+                                 input_message_type             message_type) {
+    json user_msg = build_user_message();
+
+    auto render_if = [&](input_message_type type, const std::string & name, const json & assistant_msg) {
+        if (message_type == input_message_type::ALL || message_type == type) {
+            json messages = json::array({ user_msg, assistant_msg });
+            render_scenario(tmpl, name, messages, tools, add_generation_prompt, enable_thinking);
+        }
+    };
+
+    render_if(input_message_type::CONTENT_ONLY, "content_only", build_content_only_message());
+    render_if(input_message_type::REASONING_CONTENT, "reasoning_content", build_reasoning_content_message());
+    render_if(input_message_type::TOOL_CALL_ONLY, "tool_call_only", build_tool_call_only_message());
+    render_if(input_message_type::CONTENT_TOOL_CALL, "content_tool_call", build_content_tool_call_message());
+    render_if(input_message_type::REASONING_TOOL_CALL, "reasoning_tool_call", build_reasoning_tool_call_message());
+    render_if(input_message_type::CONTENT_FAKE_TOOL_CALL, "content_fake_tool_call",
+              build_content_fake_tool_call_message());
+
+    // Also render with add_generation_prompt=true to show the prompt ending
+    if (message_type == input_message_type::ALL) {
+        LOG_ERR("\n\n=== Generation Prompt Scenarios (add_generation_prompt=true) ===\n");
+
+        json prompt_messages = json::array({ user_msg });
+        render_scenario(tmpl, "generation_prompt_only", prompt_messages, tools, true, enable_thinking);
+
+        // With enable_thinking toggled
+        render_scenario(tmpl, "generation_prompt_thinking_disabled", prompt_messages, tools, true, false);
+    }
+}
+
+int main(int argc, char ** argv) {
+    // Set log level to most verbose to capture all debug output
+    common_log_set_verbosity_thold(99);
+
+    debug_options opts;
+    if (!parse_options(argc, argv, opts)) {
+        return 1;
+    }
+
+    if (opts.debug_jinja || std::getenv("LLAMA_DEBUG_JINJA") != nullptr) {
+        jinja::enable_debug(true);
+    }
+
+    std::string template_source;
+    try {
+        // Check if the file is a GGUF file
+        if (opts.template_path.size() >= 5 &&
+            opts.template_path.compare(opts.template_path.size() - 5, 5, ".gguf") == 0) {
+            template_source = read_gguf_chat_template(opts.template_path);
+        } else {
+            template_source = read_file(opts.template_path);
+        }
+    } catch (const std::exception & e) {
+        LOG_ERR("Error reading template: %s\n", e.what());
+        return 1;
+    }
+
+    LOG_ERR("Analyzing template: %s\n", opts.template_path.c_str());
+    LOG_ERR("Options: with_tools=%s, generation_prompt=%s, enable_reasoning=%s\n", opts.with_tools ? "true" : "false",
+            opts.generation_prompt ? "true" : "false", opts.enable_reasoning ? "true" : "false");
+
+    try {
+        common_chat_template chat_template(template_source, "", "");
+
+        // Build tools definition
+        json tools = opts.with_tools ? build_tools_definition() : json();
+
+        // Render template scenarios if requested
+        if (opts.input_message != input_message_type::NONE &&
+            (opts.mode == output_mode::TEMPLATE || opts.mode == output_mode::BOTH)) {
+            LOG_ERR("\n");
+            LOG_ERR("================================================================================\n");
+            LOG_ERR("                         TEMPLATE RENDERING OUTPUT\n");
+            LOG_ERR("================================================================================\n");
+
+            render_all_scenarios(chat_template, tools, opts.generation_prompt, opts.enable_reasoning,
+                                 opts.input_message);
+        }
+
+        // Output analysis if requested
+        if (opts.mode == output_mode::ANALYSIS || opts.mode == output_mode::BOTH) {
+            LOG_ERR("\n");
+            LOG_ERR("================================================================================\n");
+            LOG_ERR("                           TEMPLATE ANALYSIS\n");
+            LOG_ERR("================================================================================\n");
+
+            autoparser::autoparser analysis;
+            analysis.analyze_template(chat_template);
+
+            // Generate Parser
+            autoparser::templates_params params;
+            params.messages = json::array({ build_user_message() });
+            params.reasoning_format =
+                opts.enable_reasoning ? COMMON_REASONING_FORMAT_DEEPSEEK : COMMON_REASONING_FORMAT_NONE;
+            params.enable_thinking       = opts.enable_reasoning;
+            params.add_generation_prompt = opts.generation_prompt;
+
+            if (opts.with_tools) {
+                params.tools       = tools;
+                params.tool_choice = opts.force_tool_call ? COMMON_CHAT_TOOL_CHOICE_REQUIRED : COMMON_CHAT_TOOL_CHOICE_AUTO;
+            } else {
+                params.tools       = json();
+                params.tool_choice = COMMON_CHAT_TOOL_CHOICE_NONE;
+            }
+            params.parallel_tool_calls = false;
+
+            auto parser_data = autoparser::peg_generator::generate_parser(chat_template, params, analysis);
+
+            LOG_ERR("\n=== Generated Parser ===\n");
+            common_peg_arena arena;
+            arena.load(parser_data.parser);
+            LOG_ERR("%s\n", arena.dump(arena.root()).c_str());
+
+            LOG_ERR("\n=== Generated Grammar ===\n");
+            LOG_ERR("%s\n", parser_data.grammar.c_str());
+
+            LOG_ERR("\n=== Generated Lazy Grammar ===\n");
+            LOG_ERR("%d\n", parser_data.grammar_lazy);
+
+            LOG_ERR("\n=== Generated Grammar Triggers ===\n");
+            for (const common_grammar_trigger & cgt : parser_data.grammar_triggers) {
+                LOG_ERR("Token: %d | Type: %d | Value: %s\n", cgt.token, cgt.type, cgt.value.c_str());
+            }
+
+            LOG_ERR("\n=== Preserved Tokens ===\n");
+            for (const std::string & token : parser_data.preserved_tokens) {
+                LOG_ERR("  '%s'\n", token.c_str());
+            }
+
+            if (!parser_data.grammar.empty()) {
+                LOG_ERR("\n=== Verifying created grammar ===\n");
+                auto * grammar = llama_grammar_init_impl(nullptr, parser_data.grammar.c_str(), "root",
+                                                         parser_data.grammar_lazy, nullptr, 0, nullptr, 0);
+                if (grammar != nullptr) {
+                    LOG_ERR("\n=== Grammar successfully created ===\n");
+                }
+            }
+        }
+    } catch (const std::exception & e) {
+        LOG_ERR("Analysis failed: %s\n", e.what());
+        return 1;
+    }
+
+    return 0;
+}
diff --git a/tools/parser/template-analysis.cpp b/tools/parser/template-analysis.cpp
new file mode 100644
index 00000000000..a92e104ac0f
--- /dev/null
+++ b/tools/parser/template-analysis.cpp
@@ -0,0 +1,611 @@
+#include "chat-auto-parser.h"
+#include "chat-auto-parser-helpers.h"
+#include "chat.h"
+#include "log.h"
+#include "jinja/caps.h"
+#include "jinja/runtime.h"
+
+#include <fstream>
+#include <sstream>
+#include <string>
+#include <vector>
+#include <algorithm>
+
+#include "nlohmann/json.hpp"
+
+using json = nlohmann::ordered_json;
+
+// ANSI color codes - using 256-color palette for brighter colors (all bold)
+#define ANSI_RESET       "\033[0m"
+#define ANSI_PURPLE      "\033[1m\x1b[38;5;126m"  // Bold bright purple for main headers
+#define ANSI_CYAN        "\033[1m\x1b[38;5;81m"   // Bold bright cyan for section headers
+#define ANSI_BLUE        "\033[1m\x1b[38;5;12m"   // Bold bright blue for labels
+#define ANSI_ORANGE      "\033[1m\x1b[38;5;209m"  // Bold orange for right differences
+#define ANSI_GREEN       "\033[1m\x1b[38;5;83m"   // Bold bright green for left differences
+#define ANSI_GRAY        "\033[1m\x1b[38;5;240m"  // Bold gray (used for "no variables" message)
+#define ANSI_BOLD        "\033[1m"                // Standalone bold
+#define ANSI_PREFIX      "\033[1m\x1b[38;5;176m"  // Bold color for common prefix
+#define ANSI_SUFFIX      "\033[1m\x1b[38;5;61m"   // Bold color for common suffix
+
+// All template paths extracted from tests/test-chat.cpp
+static const std::vector<std::string> ALL_TEMPLATE_PATHS = {
+    "models/templates/Apertus-8B-Instruct.jinja",
+    "models/templates/Apriel-1.6-15b-Thinker-fixed.jinja",
+    "models/templates/ByteDance-Seed-OSS.jinja",
+    "models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja",
+    "models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja",
+    "models/templates/GLM-4.6.jinja",
+    "models/templates/GLM-4.7-Flash.jinja",
+    "models/templates/Kimi-K2-Instruct.jinja",
+    "models/templates/Kimi-K2-Thinking.jinja",
+    "models/templates/MiMo-VL.jinja",
+    "models/templates/MiniMax-M2.jinja",
+    "models/templates/Mistral-Small-3.2-24B-Instruct-2506.jinja",
+    "models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja",
+    "models/templates/NVIDIA-Nemotron-Nano-v2.jinja",
+    "models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja",
+    "models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja",
+    "models/templates/Qwen-QwQ-32B.jinja",
+    "models/templates/Qwen-Qwen2.5-7B-Instruct.jinja",
+    "models/templates/Qwen3-Coder.jinja",
+    "models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja",
+    "models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja",
+    "models/templates/deepseek-ai-DeepSeek-V3.1.jinja",
+    "models/templates/fireworks-ai-llama-3-firefunction-v2.jinja",
+    "models/templates/google-gemma-2-2b-it.jinja",
+    "models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja",
+    "models/templates/llama-cpp-deepseek-r1.jinja",
+    "models/templates/meetkai-functionary-medium-v3.1.jinja",
+    "models/templates/meetkai-functionary-medium-v3.2.jinja",
+    "models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja",
+    "models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja",
+    "models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja",
+    "models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja",
+    "models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja",
+    "models/templates/moonshotai-Kimi-K2.jinja",
+    "models/templates/openai-gpt-oss-120b.jinja",
+    "models/templates/unsloth-Apriel-1.5.jinja",
+    "models/templates/unsloth-mistral-Devstral-Small-2507.jinja",
+};
+
+struct analysis_options {
+    std::vector<std::string> template_paths;
+    bool                     analyze_all = false;
+};
+
+static std::string read_file(const std::string & path) {
+    std::ifstream fin(path, std::ios::binary);
+    if (!fin.is_open()) {
+        throw std::runtime_error("Could not open file: " + path);
+    }
+    std::ostringstream buf;
+    buf << fin.rdbuf();
+    return buf.str();
+}
+
+static void print_usage(const char * program_name) {
+    LOG_ERR("Usage: %s [options]\n", program_name);
+    LOG_ERR("\nOptions:\n");
+    LOG_ERR("  --template <name>       Analyze specific template from test suite (e.g., 'deepseek' or 'DeepSeek-V3.1')\n");
+    LOG_ERR("  --template-file <path>  Analyze custom template file\n");
+    LOG_ERR("  --all                   Analyze all templates from test suite\n");
+    LOG_ERR("\nExamples:\n");
+    LOG_ERR("  %s --all\n", program_name);
+    LOG_ERR("  %s --template deepseek\n", program_name);
+    LOG_ERR("  %s --template-file my-template.jinja\n", program_name);
+}
+
+static bool parse_options(int argc, char ** argv, analysis_options & opts) {
+    if (argc < 2) {
+        print_usage(argv[0]);
+        return false;
+    }
+
+    for (int i = 1; i < argc; ++i) {
+        std::string arg = argv[i];
+
+        if (arg == "--all") {
+            opts.analyze_all = true;
+        } else if (arg == "--template") {
+            if (i + 1 >= argc) {
+                LOG_ERR("--template requires an argument\n");
+                return false;
+            }
+            std::string pattern = argv[++i];
+            std::transform(pattern.begin(), pattern.end(), pattern.begin(), ::tolower);
+
+            // Find matching templates
+            bool found = false;
+            for (const auto & path : ALL_TEMPLATE_PATHS) {
+                std::string path_lower = path;
+                std::transform(path_lower.begin(), path_lower.end(), path_lower.begin(), ::tolower);
+                if (path_lower.find(pattern) != std::string::npos) {
+                    opts.template_paths.push_back(path);
+                    found = true;
+                }
+            }
+
+            if (!found) {
+                LOG_ERR("No templates found matching: %s\n", pattern.c_str());
+                return false;
+            }
+        } else if (arg == "--template-file") {
+            if (i + 1 >= argc) {
+                LOG_ERR("--template-file requires an argument\n");
+                return false;
+            }
+            opts.template_paths.push_back(argv[++i]);
+        } else {
+            LOG_ERR("Unknown option: %s\n", arg.c_str());
+            print_usage(argv[0]);
+            return false;
+        }
+    }
+
+    if (opts.analyze_all) {
+        opts.template_paths = ALL_TEMPLATE_PATHS;
+    }
+
+    if (opts.template_paths.empty()) {
+        LOG_ERR("No templates specified\n");
+        print_usage(argv[0]);
+        return false;
+    }
+
+    return true;
+}
+
+static json build_tools_definition() {
+    json parameters_schema                    = json::object();
+    parameters_schema["type"]                 = "object";
+    parameters_schema["properties"]           = json::object();
+    parameters_schema["properties"]["param1"] = json::object({
+        { "type",        "string"          },
+        { "description", "First parameter" }
+    });
+    parameters_schema["properties"]["param2"] = json::object({
+        { "type",        "string"           },
+        { "description", "Second parameter" }
+    });
+    parameters_schema["required"]             = json::array({ "param1", "param2" });
+
+    return json::array({
+        json{ { "type", "function" },
+             { "function", json{ { "name", "test_function_name" },
+                                  { "description", "A test function for debugging" },
+                                  { "parameters", parameters_schema } } } }
+    });
+}
+
+// Helper to create a tool call with arguments as JSON object
+static json build_tool_call(const std::string & name, const json & args_object, const std::string & id = "call_001") {
+    return json{
+        {"id", id},
+        {"type", "function"},
+        {"function", json{
+            {"name", name},
+            {"arguments", args_object}  // Pass as JSON object, not serialized string
+        }}
+    };
+}
+
+// Helper functions to create repeating message definitions
+static json make_user_msg() {
+    return json{
+        {"role", "user"},
+        {"content", "Hello, please help me."}
+    };
+}
+
+static json make_user_msg2() {
+    return json{
+        {"role", "user"},
+        {"content", "Thank you."}
+    };
+}
+
+static json make_user_msg2_continue() {
+    return json{
+        {"role", "user"},
+        {"content", "Continue."}
+    };
+}
+
+static json make_assistant_no_tool() {
+    return json{
+        {"role", "assistant"},
+        {"content", "Let me help you."}
+    };
+}
+
+static json make_assistant_one_tool() {
+    return json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })}
+    };
+}
+
+static json make_assistant_two_tools() {
+    return json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})),
+            build_tool_call("test_function_name", json::object({{"param1", "value3"}, {"param2", "value4"}}), "call_002")
+        })}
+    };
+}
+
+static json make_assistant_no_reasoning() {
+    return json{
+        {"role", "assistant"},
+        {"content", "I can help you with that."}
+    };
+}
+
+static json make_assistant_with_reasoning() {
+    return json{
+        {"role", "assistant"},
+        {"content", "I can help you with that."},
+        {"reasoning_content", "The user is asking for help. I should respond positively."}
+    };
+}
+
+static json make_assistant_one_tool_with_reasoning() {
+    return json{
+        {"role", "assistant"},
+        {"content", nullptr},
+        {"tool_calls", json::array({
+            build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}}))
+        })},
+        {"reasoning_content", "I need to call the tool first."}
+    };
+}
+
+static void print_diff_split(const std::string & title, const diff_split & diff) {
+    LOG_ERR("\n%s=== %s ===%s\n", ANSI_CYAN, title.c_str(), ANSI_RESET);
+    LOG_ERR("%sCommon Prefix:%s '%s'\n", ANSI_PREFIX, ANSI_RESET, diff.prefix.c_str());
+    LOG_ERR("%sCommon Suffix:%s '%s'\n", ANSI_SUFFIX, ANSI_RESET, diff.suffix.c_str());
+    LOG_ERR("%sLeft (difference):%s '%s'\n", ANSI_GREEN, ANSI_RESET, diff.left.c_str());
+    LOG_ERR("%sRight (difference):%s '%s'\n", ANSI_ORANGE, ANSI_RESET, diff.right.c_str());
+}
+
+static void check_reasoning_variables(const common_chat_template & tmpl) {
+    LOG_ERR("\n%s=== Checking Reasoning Variables ===%s\n", ANSI_CYAN, ANSI_RESET);
+
+    try {
+        // Create a list of candidate reasoning/thinking variable names to probe
+        std::vector<std::string> candidate_vars = {
+            "enable_reasoning",
+            "use_reasoning",
+            "reasoning_enabled",
+            "has_reasoning",
+            "reasoning_mode",
+            "reasoning_format",
+            "reasoning_active",
+            "with_reasoning",
+            "use_thinking",
+            "thinking_enabled",
+            "has_thinking",
+            "thinking_mode",
+            "thinking_format",
+            "thinking_active",
+            "with_thinking",
+            "enable_reason",
+            "reason_enabled",
+            "enable_think",
+            "think_enabled",
+        };
+
+        jinja::context ctx;
+        ctx.is_get_stats = true;
+
+        json messages = json::array({
+            json{
+                {"role", "user"},
+                {"content", "Test message"}
+            },
+            json{
+                {"role", "assistant"},
+                {"content", "Response"},
+                {"reasoning_content", "Some reasoning"}
+            }
+        });
+
+        // Set up base context
+        jinja::global_from_json(ctx, json{
+            {"messages", messages},
+            {"tools", json::array()},
+            {"bos_token", ""},
+            {"eos_token", ""},
+            {"add_generation_prompt", false},
+            {"enable_thinking", true}  // Already passed, so we'll exclude this from results
+        }, true);
+
+        // Add candidate variables as undefined to probe which ones are accessed
+        for (const auto & var_name : candidate_vars) {
+            ctx.set_val(var_name, jinja::mk_val<jinja::value_undefined_t>(var_name));
+        }
+
+        try {
+            jinja::runtime runtime(ctx);
+            runtime.execute(tmpl.prog);
+        } catch (const std::exception & e) {
+            // Execution may fail, that's okay - we just want to see what variables were accessed
+        }
+
+        // Check which candidate variables were accessed (stats.used = true)
+        std::vector<std::string> accessed_vars;
+        for (const auto & var_name : candidate_vars) {
+            auto val = ctx.get_val(var_name);
+            if (!val->is_undefined()) {
+                // Variable was overwritten, skip it
+                continue;
+            }
+            if (val->stats.used) {
+                accessed_vars.push_back(var_name);
+            }
+        }
+
+        if (accessed_vars.empty()) {
+            LOG_ERR("%sNo reasoning/thinking-related variables were queried by the template%s\n", ANSI_GRAY, ANSI_RESET);
+        } else {
+            LOG_ERR("Template queries the following reasoning/thinking-related variables:\n");
+            for (const auto & var : accessed_vars) {
+                LOG_ERR("  %s- %s%s\n", ANSI_ORANGE, var.c_str(), ANSI_RESET);
+            }
+        }
+
+    } catch (const std::exception & e) {
+        LOG_ERR("Error checking reasoning variables: %s\n", e.what());
+    }
+}
+
+static void analyze_template(const std::string & template_path) {
+    LOG_ERR("\n");
+    LOG_ERR("%s", ANSI_PURPLE);
+    LOG_ERR("================================================================================\n");
+    LOG_ERR("                    ANALYZING TEMPLATE: %s\n", template_path.c_str());
+    LOG_ERR("================================================================================\n");
+    LOG_ERR("%s", ANSI_RESET);
+
+    std::string template_source;
+    try {
+        template_source = read_file(template_path);
+    } catch (const std::exception & e) {
+        LOG_ERR("Error reading template: %s\n", e.what());
+        return;
+    }
+
+    try {
+        common_chat_template chat_template(template_source, "", "");
+        json tools = build_tools_definition();
+
+        // ===== CAPABILITIES ANALYSIS =====
+        LOG_ERR("\n%s=== Template Capabilities (from jinja::caps) ===%s\n", ANSI_CYAN, ANSI_RESET);
+        auto caps = chat_template.original_caps();
+        LOG_ERR("%ssupports_tools:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_tools ? "true" : "false");
+        LOG_ERR("%ssupports_tool_calls:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_tool_calls ? "true" : "false");
+        LOG_ERR("%ssupports_system_role:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_system_role ? "true" : "false");
+        LOG_ERR("%ssupports_parallel_tool_calls:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_parallel_tool_calls ? "true" : "false");
+        LOG_ERR("%ssupports_typed_content:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_typed_content ? "true" : "false");
+        LOG_ERR("%ssupports_string_content:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_string_content ? "true" : "false");
+
+        // ===== DIFFERENTIAL ANALYSIS =====
+
+        // Test 1: With and without tools (single user message)
+        {
+            json user_msg = make_user_msg();
+
+            autoparser::templates_params params_no_tools;
+            params_no_tools.messages = json::array({ user_msg });
+            params_no_tools.add_generation_prompt = false;
+            params_no_tools.tools = json::array();
+
+            autoparser::templates_params params_with_tools = params_no_tools;
+            params_with_tools.tools = tools;
+
+            std::string output_no_tools = common_chat_template_direct_apply(chat_template, params_no_tools);
+            std::string output_with_tools = common_chat_template_direct_apply(chat_template, params_with_tools);
+
+            auto diff = calculate_diff_split(output_no_tools, output_with_tools);
+            print_diff_split("Diff: With vs Without Tools (single user message)", diff);
+        }
+
+        // Test 2: With and without add_generation_prompt (single user message)
+        {
+            json user_msg = make_user_msg();
+
+            autoparser::templates_params params_no_prompt;
+            params_no_prompt.messages = json::array({ user_msg });
+            params_no_prompt.add_generation_prompt = false;
+            params_no_prompt.tools = json::array();
+
+            autoparser::templates_params params_with_prompt = params_no_prompt;
+            params_with_prompt.add_generation_prompt = true;
+
+            std::string output_no_prompt = common_chat_template_direct_apply(chat_template, params_no_prompt);
+            std::string output_with_prompt = common_chat_template_direct_apply(chat_template, params_with_prompt);
+
+            auto diff = calculate_diff_split(output_no_prompt, output_with_prompt);
+            print_diff_split("Diff: With vs Without add_generation_prompt (single user message)", diff);
+        }
+
+        // Test 3: Assistant with reasoning_content (user, assistant)
+        {
+            json user_msg = make_user_msg();
+
+            autoparser::templates_params params_no_reasoning;
+            params_no_reasoning.messages = json::array({ user_msg, make_assistant_no_reasoning() });
+            params_no_reasoning.add_generation_prompt = false;
+            params_no_reasoning.enable_thinking = true;
+
+            autoparser::templates_params params_with_reasoning = params_no_reasoning;
+            params_with_reasoning.messages = json::array({ user_msg, make_assistant_with_reasoning() });
+
+            std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning);
+            std::string output_with_reasoning = common_chat_template_direct_apply(chat_template, params_with_reasoning);
+
+            auto diff = calculate_diff_split(output_no_reasoning, output_with_reasoning);
+            print_diff_split("Diff: With vs Without reasoning_content (user, assistant)", diff);
+        }
+
+        // Test 4: Assistant with reasoning_content (user, assistant, user)
+        {
+            json user_msg = make_user_msg();
+            json user_msg2 = make_user_msg2();
+
+            autoparser::templates_params params_no_reasoning;
+            params_no_reasoning.messages = json::array({ user_msg, make_assistant_no_reasoning(), user_msg2 });
+            params_no_reasoning.add_generation_prompt = false;
+            params_no_reasoning.enable_thinking = true;
+
+            autoparser::templates_params params_with_reasoning = params_no_reasoning;
+            params_with_reasoning.messages = json::array({ user_msg, make_assistant_with_reasoning(), user_msg2 });
+
+            std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning);
+            std::string output_with_reasoning = common_chat_template_direct_apply(chat_template, params_with_reasoning);
+
+            auto diff = calculate_diff_split(output_no_reasoning, output_with_reasoning);
+            print_diff_split("Diff: With vs Without reasoning_content (user, assistant, user)", diff);
+        }
+
+        // Test 5: Tool call in last assistant message (user, assistant)
+        {
+            json user_msg = make_user_msg();
+
+            autoparser::templates_params params_no_tool;
+            params_no_tool.messages = json::array({ user_msg, make_assistant_no_tool() });
+            params_no_tool.add_generation_prompt = false;
+            params_no_tool.tools = tools;
+
+            autoparser::templates_params params_with_tool = params_no_tool;
+            params_with_tool.messages = json::array({ user_msg, make_assistant_one_tool() });
+
+            std::string output_no_tool = common_chat_template_direct_apply(chat_template, params_no_tool);
+            std::string output_with_tool = common_chat_template_direct_apply(chat_template, params_with_tool);
+
+            auto diff = calculate_diff_split(output_no_tool, output_with_tool);
+            print_diff_split("Diff: With vs Without tool call (user, assistant)", diff);
+        }
+
+        // Test 6: Tool call in last assistant message (user, assistant, user)
+        {
+            json user_msg = make_user_msg();
+            json user_msg2 = make_user_msg2_continue();
+
+            autoparser::templates_params params_no_tool;
+            params_no_tool.messages = json::array({ user_msg, make_assistant_no_tool(), user_msg2 });
+            params_no_tool.add_generation_prompt = false;
+            params_no_tool.tools = tools;
+
+            autoparser::templates_params params_with_tool = params_no_tool;
+            params_with_tool.messages = json::array({ user_msg, make_assistant_one_tool(), user_msg2 });
+
+            std::string output_no_tool = common_chat_template_direct_apply(chat_template, params_no_tool);
+            std::string output_with_tool = common_chat_template_direct_apply(chat_template, params_with_tool);
+
+            auto diff = calculate_diff_split(output_no_tool, output_with_tool);
+            print_diff_split("Diff: With vs Without tool call (user, assistant, user)", diff);
+        }
+
+        // Test 7: One vs two tool calls (user, assistant)
+        {
+            json user_msg = make_user_msg();
+
+            autoparser::templates_params params_one_tool;
+            params_one_tool.messages = json::array({ user_msg, make_assistant_one_tool() });
+            params_one_tool.add_generation_prompt = false;
+            params_one_tool.tools = tools;
+
+            autoparser::templates_params params_two_tools = params_one_tool;
+            params_two_tools.messages = json::array({ user_msg, make_assistant_two_tools() });
+
+            std::string output_one_tool = common_chat_template_direct_apply(chat_template, params_one_tool);
+            std::string output_two_tools = common_chat_template_direct_apply(chat_template, params_two_tools);
+
+            auto diff = calculate_diff_split(output_one_tool, output_two_tools);
+            print_diff_split("Diff: One vs Two tool calls (user, assistant)", diff);
+        }
+
+        // Test 8: One vs two tool calls (user, assistant, user)
+        {
+            json user_msg = make_user_msg();
+            json user_msg2 = make_user_msg2_continue();
+
+            autoparser::templates_params params_one_tool;
+            params_one_tool.messages = json::array({ user_msg, make_assistant_one_tool(), user_msg2 });
+            params_one_tool.add_generation_prompt = false;
+            params_one_tool.tools = tools;
+
+            autoparser::templates_params params_two_tools = params_one_tool;
+            params_two_tools.messages = json::array({ user_msg, make_assistant_two_tools(), user_msg2 });
+
+            std::string output_one_tool = common_chat_template_direct_apply(chat_template, params_one_tool);
+            std::string output_two_tools = common_chat_template_direct_apply(chat_template, params_two_tools);
+
+            auto diff = calculate_diff_split(output_one_tool, output_two_tools);
+            print_diff_split("Diff: One vs Two tool calls (user, assistant, user)", diff);
+        }
+
+        // Test 9: Tool call with vs without reasoning_content (user, assistant)
+        {
+            json user_msg = make_user_msg();
+
+            autoparser::templates_params params_no_reasoning;
+            params_no_reasoning.messages = json::array({ user_msg, make_assistant_one_tool() });
+            params_no_reasoning.add_generation_prompt = false;
+            params_no_reasoning.tools = tools;
+            params_no_reasoning.enable_thinking = true;
+
+            autoparser::templates_params params_with_reasoning = params_no_reasoning;
+            params_with_reasoning.messages = json::array({ user_msg, make_assistant_one_tool_with_reasoning() });
+
+            std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning);
+            std::string output_with_reasoning = common_chat_template_direct_apply(chat_template, params_with_reasoning);
+
+            auto diff = calculate_diff_split(output_no_reasoning, output_with_reasoning);
+            print_diff_split("Diff: Tool call with vs without reasoning_content (user, assistant)", diff);
+        }
+
+        // Check reasoning variables
+        check_reasoning_variables(chat_template);
+
+    } catch (const std::exception & e) {
+        LOG_ERR("Analysis failed: %s\n", e.what());
+    }
+}
+
+int main(int argc, char ** argv) {
+    // Set log level to capture all output
+    common_log_set_verbosity_thold(99);
+
+    analysis_options opts;
+    if (!parse_options(argc, argv, opts)) {
+        return 1;
+    }
+
+    LOG_ERR("\n");
+    LOG_ERR("%s", ANSI_PURPLE);
+    LOG_ERR("================================================================================\n");
+    LOG_ERR("                      TEMPLATE ANALYSIS TOOL\n");
+    LOG_ERR("================================================================================\n");
+    LOG_ERR("%s", ANSI_RESET);
+    LOG_ERR("Analyzing %s%zu%s template(s)\n", ANSI_CYAN, opts.template_paths.size(), ANSI_RESET);
+
+    for (const auto & path : opts.template_paths) {
+        analyze_template(path);
+    }
+
+    LOG_ERR("\n");
+    LOG_ERR("%s", ANSI_GREEN);
+    LOG_ERR("================================================================================\n");
+    LOG_ERR("                      ANALYSIS COMPLETE\n");
+    LOG_ERR("================================================================================\n");
+    LOG_ERR("%s", ANSI_RESET);
+
+    return 0;
+}
diff --git a/tools/perplexity/README.md b/tools/perplexity/README.md
index eb3846072ea..f82d34c8a25 100644
--- a/tools/perplexity/README.md
+++ b/tools/perplexity/README.md
@@ -27,10 +27,10 @@ In addition to the KL divergence the following statistics are calculated with `-
 * Ratio of mean FP16 PPL and quantized PPL. Uncertainty is estimated on logits, then propagated. The logarithm of this metric is also calculated and printed, it is 0 if the logit distributions are the same.
 * Difference of mean FP16 PPL and quantized PPL. Uncertainty is estimated on logits, then propagated.
 * Mean change in "correct" token probability. Positive values mean the model gets better at prediction, negative values mean it gets worse.
-* Pearson correlation coefficient of the "correct" token probabilites between models.
+* Pearson correlation coefficient of the "correct" token probabilities between models.
 * Percentiles of change in "correct" token probability. Positive values mean the model gets better at prediction, negative values mean it gets worse. Can be used to judge noise vs. quality loss from quantization. If the percentiles are symmetric then the quantization is essentially just adding noise. If the negative values are significantly larger than the positive values then this indicates that the model is actually becoming worse from the quantization.
 * The root mean square of the change in token probabilities. If you were to assume that the quantization simply causes Gaussian noise on the token probabilities then this would be the standard deviation of said noise. The uncertainty on the value is calculated that the change in token probabilities follows a Gaussian distribution. Related discussion: https://github.com/ggml-org/llama.cpp/discussions/2875 .
-* Same top p: Percentage of how often the token was assigned the highest probabilites by both models. The uncertainty is calculated from the Gaussian approximation of the binomial distribution.
+* Same top p: Percentage of how often the token was assigned the highest probabilities by both models. The uncertainty is calculated from the Gaussian approximation of the binomial distribution.
 
 ## LLaMA 3 8b Scoreboard
 
diff --git a/tools/perplexity/perplexity.cpp b/tools/perplexity/perplexity.cpp
index 1ead9c871e9..0eb062f05dd 100644
--- a/tools/perplexity/perplexity.cpp
+++ b/tools/perplexity/perplexity.cpp
@@ -3,10 +3,11 @@
 #include "log.h"
 #include "llama.h"
 
-#include <chrono>
 #include <algorithm>
 #include <array>
 #include <atomic>
+#include <chrono>
+#include <clocale>
 #include <cmath>
 #include <cstdio>
 #include <cstring>
@@ -347,7 +348,8 @@ static results_perplexity perplexity_v2(llama_context * ctx, const common_params
     int count = 0;
     double nll = 0.0;
 
-    LOG_INF("%s: calculating perplexity over %d chunks, batch_size=%d\n", __func__, n_chunk, n_batch);
+    const int n_seq = std::max(1, n_batch / n_ctx);
+    LOG_INF("%s: computing over %d chunks, n_ctx=%d, batch_size=%d, n_seq=%d\n", __func__, n_chunk, n_ctx, n_batch, n_seq);
 
     for (int i = 0; i < n_chunk; ++i) {
         const int start =     i * params.ppl_stride;
@@ -1737,11 +1739,21 @@ static void kl_divergence(llama_context * ctx, const common_params & params) {
     }
 
     const int n_batch = params.n_batch;
-    const int num_batches = (n_ctx + n_batch - 1)/n_batch;
+    const int num_batches = (static_cast<int>(n_ctx) + n_batch - 1) / n_batch;
+    // Calculate n_seq based on the logits file's n_ctx, but cap it at what the context supports
+    const int n_seq_max = llama_n_seq_max(ctx);
+    int n_seq = std::max(1, n_batch / static_cast<int>(n_ctx));
+    if (n_seq > n_seq_max) {
+        LOG_WRN("%s: calculated n_seq=%d exceeds context's n_seq_max=%d, capping at %d\n",
+                __func__, n_seq, n_seq_max, n_seq_max);
+        n_seq = n_seq_max;
+    }
     const int nv = 2*((n_vocab + 1)/2) + 4;
     const bool add_bos = llama_vocab_get_add_bos(vocab);
     GGML_ASSERT(!llama_vocab_get_add_eos(vocab));
 
+    llama_batch batch = llama_batch_init(std::min(n_batch, static_cast<int>(n_ctx)*n_seq), 0, 1);
+
     std::vector<uint16_t> log_probs_uint16(size_t(n_ctx - 1 - n_ctx/2) * nv);
     std::vector<float>    kld_values(size_t(n_ctx - 1 - n_ctx/2)*n_chunk);
     std::vector<float> p_diff_values(size_t(n_ctx - 1 - n_ctx/2)*n_chunk);
@@ -1750,6 +1762,8 @@ static void kl_divergence(llama_context * ctx, const common_params & params) {
         logits.reserve(size_t(n_ctx) * n_vocab);
     }
 
+    LOG_INF("%s: computing over %d chunks, n_ctx=%u, batch_size=%d, n_seq=%d\n", __func__, n_chunk, n_ctx, n_batch, n_seq);
+
     std::vector<std::thread> workers(std::thread::hardware_concurrency() - 1);
 
     auto mean_and_uncertainty = [] (double sum, double sum2, size_t count) {
@@ -1774,107 +1788,122 @@ static void kl_divergence(llama_context * ctx, const common_params & params) {
     auto    kld_ptr =    kld_values.data();
     auto p_diff_ptr = p_diff_values.data();
 
-    for (int i = 0; i < n_chunk; ++i) {
+    const int first = n_ctx/2;
+
+    for (int i = 0; i < n_chunk; i += n_seq) {
         const int start =     i * n_ctx;
         const int end   = start + n_ctx;
 
-        const auto t_start = std::chrono::high_resolution_clock::now();
+        const int n_seq_batch = std::min(n_seq, n_chunk - i);
 
-        if (in.read((char *)log_probs_uint16.data(), log_probs_uint16.size()*sizeof(uint16_t)).fail()) {
-            LOG_ERR("%s: failed reading log-probs for chunk %d\n", __func__, i);
-            return;
-        }
+        const auto t_start = std::chrono::high_resolution_clock::now();
 
         // clear the KV cache
         llama_memory_clear(llama_get_memory(ctx), true);
 
-        llama_batch batch = llama_batch_init(n_batch, 0, 1);
-
         for (int j = 0; j < num_batches; ++j) {
             const int batch_start = start + j * n_batch;
             const int batch_size  = std::min(end - batch_start, n_batch);
 
-            // save original token and restore it after eval
-            const auto token_org = tokens[batch_start];
-
-            // add BOS token for the first batch of each chunk
-            if (add_bos && j == 0) {
-                tokens[batch_start] = llama_vocab_bos(vocab);
-            }
+            int n_outputs = 0;
 
             common_batch_clear(batch);
-            for (int i = 0; i < batch_size; i++) {
-                common_batch_add(batch, tokens[batch_start + i], j*n_batch + i, {0}, true);
+            for (int seq = 0; seq < n_seq_batch; seq++) {
+                int seq_start = batch_start + seq*n_ctx;
+
+                // save original token and restore it after eval
+                const auto token_org = tokens[seq_start];
+
+                // add BOS token for the first batch of each chunk
+                if (add_bos && j == 0) {
+                    tokens[seq_start] = llama_vocab_bos(vocab);
+                }
+
+                for (int k = 0; k < batch_size; ++k) {
+                    const int pos = j*n_batch + k;
+                    const bool need_logits = pos >= first;
+                    common_batch_add(batch, tokens[seq_start + k], pos, { seq }, need_logits);
+                    n_outputs += need_logits;
+                }
+
+                // restore the original token in case it was set to BOS
+                tokens[seq_start] = token_org;
             }
 
             if (llama_decode(ctx, batch)) {
-                LOG_ERR("%s : failed to eval\n", __func__);
+                LOG_ERR("%s : failed to decode\n", __func__);
                 llama_batch_free(batch);
                 return;
             }
 
-            // restore the original token in case it was set to BOS
-            tokens[batch_start] = token_org;
-
-            if (num_batches > 1) {
+            if (num_batches > 1 && n_outputs > 0) {
                 const auto * batch_logits = llama_get_logits(ctx);
-                logits.insert(logits.end(), batch_logits, batch_logits + size_t(batch_size) * n_vocab);
+                logits.insert(logits.end(), batch_logits, batch_logits + size_t(n_outputs) * n_vocab);
             }
         }
 
-        llama_batch_free(batch);
-
-        const auto t_end = std::chrono::high_resolution_clock::now();
-
         if (i == 0) {
+            llama_synchronize(ctx);
+            const auto t_end = std::chrono::high_resolution_clock::now();
             const float t_total = std::chrono::duration<float>(t_end - t_start).count();
             LOG_INF("%s: %.2f seconds per pass - ETA ", __func__, t_total);
-            int total_seconds = (int)(t_total * n_chunk);
+            int total_seconds = (int)(t_total * n_chunk / n_seq);
             if (total_seconds >= 60*60) {
                 LOG("%d hours ", total_seconds / (60*60));
                 total_seconds = total_seconds % (60*60);
             }
             LOG("%.2f minutes\n", total_seconds / 60.0);
+            LOG("\n");
+            LOG("chunk             PPL               ln(PPL(Q)/PPL(base))          KL Divergence              Δp RMS            Same top p\n");
         }
-        LOG("\n");
-        LOG("chunk             PPL               ln(PPL(Q)/PPL(base))          KL Divergence              Δp RMS            Same top p\n");
 
-        const int first = n_ctx/2;
-        const float * all_logits = num_batches > 1 ? logits.data() : llama_get_logits(ctx);
-        process_logits(n_vocab, all_logits + size_t(first)*n_vocab, tokens.data() + start + first, n_ctx - 1 - first,
-                workers, log_probs_uint16, kld, kld_ptr, p_diff_ptr);
-        p_diff_ptr += n_ctx - 1 - first;
-        kld_ptr    += n_ctx - 1 - first;
+        // Read log probs for each sequence in the batch
+        for (int seq = 0; seq < n_seq_batch; seq++) {
+            if (in.read((char *)log_probs_uint16.data(), log_probs_uint16.size()*sizeof(uint16_t)).fail()) {
+                LOG_ERR("%s: failed reading log-probs for chunk %d\n", __func__, i + seq);
+                llama_batch_free(batch);
+                return;
+            }
 
-        LOG("%4d", i+1);
+            const float * all_logits = num_batches > 1 ? logits.data() : llama_get_logits_ith(ctx, seq*n_ctx + first);
 
-        auto log_ppl = mean_and_uncertainty(kld.sum_nll, kld.sum_nll2, kld.count);
-        const double ppl_val = exp(log_ppl.first);
-        const double ppl_unc = ppl_val * log_ppl.second; // ppl_unc = sqrt( (dexp(x) / dx) ** 2 * log_ppl.second ** 2 )
-        LOG("    %9.4lf ± %9.4lf", ppl_val, ppl_unc);
+            process_logits(n_vocab, all_logits, tokens.data() + start + seq*n_ctx + first, n_ctx - 1 - first,
+                    workers, log_probs_uint16, kld, kld_ptr, p_diff_ptr);
+            p_diff_ptr += n_ctx - 1 - first;
+            kld_ptr    += n_ctx - 1 - first;
 
-        auto log_ppl_base = mean_and_uncertainty(kld.sum_nll_base, kld.sum_nll_base2, kld.count);
-        const double log_ppl_cov = covariance(kld.sum_nll, kld.sum_nll_base, kld.sum_nll_nll_base, kld.count);
-        const double log_ppl_ratio_val = log_ppl.first - log_ppl_base.first;
-        const double log_ppl_ratio_unc = sqrt(log_ppl.second*log_ppl.second + log_ppl_base.second*log_ppl_base.second - 2.0*log_ppl_cov);
-        LOG("    %10.5lf ± %10.5lf", log_ppl_ratio_val, log_ppl_ratio_unc);
+            LOG("%4d", i + seq + 1);
 
-        auto kl_div = mean_and_uncertainty(kld.sum_kld, kld.sum_kld2, kld.count);
-        LOG("    %10.5lf ± %10.5lf", kl_div.first, kl_div.second);
+            auto log_ppl = mean_and_uncertainty(kld.sum_nll, kld.sum_nll2, kld.count);
+            const double ppl_val = exp(log_ppl.first);
+            const double ppl_unc = ppl_val * log_ppl.second;
+            LOG("    %9.4lf ± %9.4lf", ppl_val, ppl_unc);
 
-        auto p_diff_mse   = mean_and_uncertainty(kld.sum_p_diff2, kld.sum_p_diff4, kld.count);
-        const double p_diff_rms_val = sqrt(p_diff_mse.first);
-        const double p_diff_rms_unc = 0.5/p_diff_rms_val * p_diff_mse.second;
-        LOG("    %6.3lf ± %6.3lf %%", 100.0*p_diff_rms_val, 100.0*p_diff_rms_unc);
+            auto log_ppl_base = mean_and_uncertainty(kld.sum_nll_base, kld.sum_nll_base2, kld.count);
+            const double log_ppl_cov = covariance(kld.sum_nll, kld.sum_nll_base, kld.sum_nll_nll_base, kld.count);
+            const double log_ppl_ratio_val = log_ppl.first - log_ppl_base.first;
+            const double log_ppl_ratio_unc = sqrt(log_ppl.second*log_ppl.second + log_ppl_base.second*log_ppl_base.second - 2.0*log_ppl_cov);
+            LOG("    %10.5lf ± %10.5lf", log_ppl_ratio_val, log_ppl_ratio_unc);
 
-        double p_top_val = 1.*kld.n_same_top/kld.count;
-        double p_top_unc = sqrt(p_top_val*(1 - p_top_val)/(kld.count - 1));
-        LOG("    %6.3lf ± %6.3lf %%", 100.0*p_top_val, 100.0*p_top_unc);
+            auto kl_div = mean_and_uncertainty(kld.sum_kld, kld.sum_kld2, kld.count);
+            LOG("    %10.5lf ± %10.5lf", kl_div.first, kl_div.second);
 
-        LOG("\n");
+            auto p_diff_mse   = mean_and_uncertainty(kld.sum_p_diff2, kld.sum_p_diff4, kld.count);
+            const double p_diff_rms_val = sqrt(p_diff_mse.first);
+            const double p_diff_rms_unc = 0.5/p_diff_rms_val * p_diff_mse.second;
+            LOG("    %6.3lf ± %6.3lf %%", 100.0*p_diff_rms_val, 100.0*p_diff_rms_unc);
+
+            double p_top_val = 1.*kld.n_same_top/kld.count;
+            double p_top_unc = sqrt(p_top_val*(1 - p_top_val)/(kld.count - 1));
+            LOG("    %6.3lf ± %6.3lf %%", 100.0*p_top_val, 100.0*p_top_unc);
+
+            LOG("\n");
+        }
 
         logits.clear();
     }
+
+    llama_batch_free(batch);
     LOG("\n");
 
     if (kld.count < 100) return; // we do not wish to do statistics on so few values
@@ -1976,6 +2005,8 @@ static void kl_divergence(llama_context * ctx, const common_params & params) {
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.n_ctx = 512;
@@ -1994,25 +2025,14 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    const bool ppl = !params.hellaswag && !params.winogrande && !params.multiple_choice && !params.kl_divergence;
-
-    if (ppl) {
-        const int32_t n_seq = std::max(1, params.n_batch / n_ctx);
-        const int32_t n_kv = n_seq * n_ctx;
-
-        params.n_parallel = n_seq;
-        params.n_ctx      = n_kv;
-
-        params.n_batch = std::min(params.n_batch, n_kv);
-    } else {
-        params.n_batch = std::min(params.n_batch, params.n_ctx);
-        if (params.kl_divergence) {
-            params.n_parallel = 1;
-        } else {
-            // ensure there's at least enough seq_ids for HellaSwag
-            params.n_parallel = std::max(4, params.n_parallel);
-        }
+    if (params.hellaswag || params.winogrande || params.multiple_choice) {
+        params.n_parallel = std::max(4, params.n_parallel);
+        params.kv_unified = true;
+    } else { // Perplexity & KL divergence
+        params.n_parallel = std::max(1, params.n_batch / n_ctx);
     }
+    params.n_ctx = params.n_parallel * n_ctx;
+    params.n_batch = std::min(params.n_batch, params.n_ctx);
 
     if (params.ppl_stride > 0) {
         LOG_INF("Will perform strided perplexity calculation -> adjusting context size from %d to %d\n",
diff --git a/tools/quantize/README.md b/tools/quantize/README.md
index 22f07102867..b8c225124b3 100644
--- a/tools/quantize/README.md
+++ b/tools/quantize/README.md
@@ -100,7 +100,7 @@ Examples:
 ## Memory/Disk Requirements
 
 When running the larger models, make sure you have enough disk space to store all the intermediate files.
-As the models are currently fully loaded into memory, you will need adequate disk space to save them and sufficient RAM to load them. At the moment, memory and disk requirements are the same. For exmaple (Llama 3.1):
+As the models are currently fully loaded into memory, you will need adequate disk space to save them and sufficient RAM to load them. At the moment, memory and disk requirements are the same. For example (Llama 3.1):
 
 | Model | Original size | Quantized size (Q4_K_M) |
 | ----: | ------------: | ----------------------: |
diff --git a/tools/quantize/quantize.cpp b/tools/quantize/quantize.cpp
index c0f49279eeb..24e0a4662ae 100644
--- a/tools/quantize/quantize.cpp
+++ b/tools/quantize/quantize.cpp
@@ -2,6 +2,10 @@
 #include "llama.h"
 #include "gguf.h"
 
+#include <algorithm>
+#include <cctype>
+#include <clocale>
+#include <cmath>
 #include <cstdio>
 #include <cstring>
 #include <vector>
@@ -14,6 +18,13 @@
 #include <algorithm>
 #include <filesystem>
 
+// result of parsing --tensor-type option
+// (changes to this struct must be reflected in src/llama-quant.cpp)
+struct tensor_type_option {
+    std::string name;
+    ggml_type type = GGML_TYPE_COUNT;
+};
+
 struct quant_option {
     std::string name;
     llama_ftype ftype;
@@ -61,12 +72,6 @@ static const std::vector<quant_option> QUANT_OPTIONS = {
     { "COPY",     LLAMA_FTYPE_ALL_F32,         "only copy tensors, no quantizing",  },
 };
 
-// Quantization types. Changes to this struct must be replicated in llama-quantize.cpp
-struct tensor_quantization {
-    std::string name;
-    ggml_type quant = GGML_TYPE_COUNT;
-};
-
 static const char * const LLM_KV_QUANTIZE_IMATRIX_FILE       = "quantize.imatrix.file";
 static const char * const LLM_KV_QUANTIZE_IMATRIX_DATASET    = "quantize.imatrix.dataset";
 static const char * const LLM_KV_QUANTIZE_IMATRIX_N_ENTRIES  = "quantize.imatrix.entries_count";
@@ -120,7 +125,7 @@ static bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftyp
 static void usage(const char * executable) {
     printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] [--pure] [--imatrix] [--include-weights]\n", executable);
     printf("       [--exclude-weights] [--output-tensor-type] [--token-embedding-type] [--tensor-type] [--tensor-type-file]\n");
-    printf("       [--prune-layers] [--keep-split] [--override-kv]\n");
+    printf("       [--prune-layers] [--keep-split] [--override-kv] [--dry-run]\n");
     printf("       model-f32.gguf [model-quant.gguf] type [nthreads]\n\n");
     printf("  --allow-requantize\n");
     printf("                                      allow requantizing tensors that have already been quantized\n");
@@ -156,7 +161,10 @@ static void usage(const char * executable) {
     printf("                                      generate quantized model in the same shards as input\n");
     printf("  --override-kv KEY=TYPE:VALUE\n");
     printf("                                      override model metadata by key in the quantized model. may be specified multiple times.\n");
-    printf("                                      WARNING: this is an advanced option, use with care.\n\n");
+    printf("                                      WARNING: this is an advanced option, use with care.\n");
+    printf("  --dry-run\n");
+    printf("                                      calculate and show the final quantization size without performing quantization\n");
+    printf("                                      example: llama-quantize --dry-run model-f32.gguf Q4_K\n\n");
     printf("note: --include-weights and --exclude-weights cannot be used together\n\n");
     printf("-----------------------------------------------------------------------------\n");
     printf(" allowed quantization types\n");
@@ -406,7 +414,7 @@ static ggml_type parse_ggml_type(const char * arg) {
     return GGML_TYPE_COUNT;
 }
 
-static bool parse_tensor_type(const char * data, std::vector<tensor_quantization> & tensor_type) {
+static bool parse_tensor_type(const char * data, std::vector<tensor_type_option> & tensor_type) {
     const char * sep = strchr(data, '=');
     if (sep == nullptr) {
         printf("\n%s: malformed tensor type '%s'\n\n", __func__, data);
@@ -426,11 +434,11 @@ static bool parse_tensor_type(const char * data, std::vector<tensor_quantization
     std::string tn(data, tn_len);
     std::transform(tn.begin(), tn.end(), tn.begin(), tolower);
     sep++;
-    tensor_quantization tqz;
-    tqz.name = tn;
-    tqz.quant = parse_ggml_type(sep);
-    tensor_type.emplace_back(std::move(tqz));
-    if (tqz.quant == GGML_TYPE_COUNT) {
+    tensor_type_option tensor_type_opt;
+    tensor_type_opt.name = tn;
+    tensor_type_opt.type = parse_ggml_type(sep);
+    tensor_type.emplace_back(std::move(tensor_type_opt));
+    if (tensor_type_opt.type == GGML_TYPE_COUNT) {
         printf("\n%s: invalid quantization type '%s'\n\n", __func__, sep);
         return false;
     }
@@ -438,7 +446,7 @@ static bool parse_tensor_type(const char * data, std::vector<tensor_quantization
     return true;
 }
 
-static bool parse_tensor_type_file(const char * filename, std::vector<tensor_quantization> & tensor_type) {
+static bool parse_tensor_type_file(const char * filename, std::vector<tensor_type_option> & tensor_type) {
     std::ifstream file(filename);
     if (!file) {
         printf("\n%s: failed to open file '%s': %s\n\n", __func__, filename, std::strerror(errno));
@@ -482,6 +490,8 @@ static bool parse_layer_prune(const char * data, std::vector<int> & prune_layers
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     if (argc < 3) {
         usage(argv[0]);
     }
@@ -492,7 +502,7 @@ int main(int argc, char ** argv) {
     std::string imatrix_file;
     std::vector<std::string> included_weights, excluded_weights;
     std::vector<llama_model_kv_override> kv_overrides;
-    std::vector<tensor_quantization> tensor_types;
+    std::vector<tensor_type_option> tensor_type_opts;
     std::vector<int> prune_layers;
 
     for (; arg_idx < argc && strncmp(argv[arg_idx], "--", 2) == 0; arg_idx++) {
@@ -517,11 +527,11 @@ int main(int argc, char ** argv) {
                 usage(argv[0]);
             }
         } else if (strcmp(argv[arg_idx], "--tensor-type") == 0) {
-            if (arg_idx == argc-1 || !parse_tensor_type(argv[++arg_idx], tensor_types)) {
+            if (arg_idx == argc-1 || !parse_tensor_type(argv[++arg_idx], tensor_type_opts)) {
                 usage(argv[0]);
             }
         } else if (strcmp(argv[arg_idx], "--tensor-type-file") == 0) {
-            if (arg_idx == argc-1 || !parse_tensor_type_file(argv[++arg_idx], tensor_types)) {
+            if (arg_idx == argc-1 || !parse_tensor_type_file(argv[++arg_idx], tensor_type_opts)) {
                 usage(argv[0]);
             }
         } else if (strcmp(argv[arg_idx], "--prune-layers") == 0) {
@@ -532,6 +542,8 @@ int main(int argc, char ** argv) {
             if (arg_idx == argc-1 || !string_parse_kv_override(argv[++arg_idx], kv_overrides)) {
                 usage(argv[0]);
             }
+        } else if (strcmp(argv[arg_idx], "--dry-run") == 0) {
+            params.dry_run = true;
         } else if (strcmp(argv[arg_idx], "--allow-requantize") == 0) {
             params.allow_requantize = true;
         } else if (strcmp(argv[arg_idx], "--pure") == 0) {
@@ -613,8 +625,8 @@ int main(int argc, char ** argv) {
         kv_overrides.back().key[0] = 0;
         params.kv_overrides = &kv_overrides;
     }
-    if (!tensor_types.empty()) {
-        params.tensor_types = &tensor_types;
+    if (!tensor_type_opts.empty()) {
+        params.tensor_types = &tensor_type_opts;
     }
     if (!prune_layers.empty()) {
         params.prune_layers = &prune_layers;
@@ -630,22 +642,26 @@ int main(int argc, char ** argv) {
     std::string ftype_str;
     std::string suffix = ".gguf";
     if (try_parse_ftype(argv[arg_idx], params.ftype, ftype_str)) {
-        std::string fpath;
-        const size_t pos = fname_inp.find_last_of("/\\");
-        if (pos != std::string::npos) {
-            fpath = fname_inp.substr(0, pos + 1);
-        }
+        // argv[arg_idx] is the ftype directly: <input> <ftype>
+        if (!params.dry_run) {
+            std::string fpath;
+            const size_t pos = fname_inp.find_last_of("/\\");
+            if (pos != std::string::npos) {
+                fpath = fname_inp.substr(0, pos + 1);
+            }
 
-        // export as [inp path]/ggml-model-[ftype]. Only add extension if there is no splitting
-        fname_out = fpath + "ggml-model-" + ftype_str;
-        if (!params.keep_split) {
-            fname_out += suffix;
+            // export as [inp path]/ggml-model-[ftype]. Only add extension if there is no splitting
+            fname_out = fpath + "ggml-model-" + ftype_str;
+            if (!params.keep_split) {
+                fname_out += suffix;
+            }
         }
         arg_idx++;
         if (ftype_str == "COPY") {
             params.only_copy = true;
         }
     } else {
+        // argv[arg_idx] is not a valid ftype, so treat it as output path: <input> <output> <ftype>
         fname_out = argv[arg_idx];
         if (params.keep_split && fname_out.find(suffix) != std::string::npos) {
             fname_out = fname_out.substr(0, fname_out.length() - suffix.length());
@@ -677,25 +693,21 @@ int main(int argc, char ** argv) {
         }
     }
 
-    if ((params.ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || params.ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS ||
-         params.ftype == LLAMA_FTYPE_MOSTLY_IQ2_S  ||
-         params.ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S ||
-         params.ftype == LLAMA_FTYPE_MOSTLY_IQ1_S  ||
-         params.ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) && imatrix_data.empty()) {
-        fprintf(stderr, "\n==========================================================================================================\n");
-        fprintf(stderr, "Please do not use IQ1_S, IQ1_M, IQ2_S, IQ2_XXS, IQ2_XS or Q2_K_S quantization without an importance matrix\n");
-        fprintf(stderr, "==========================================================================================================\n\n\n");
-        return 1;
-    }
-
-    if (std::error_code ec; std::filesystem::equivalent(fname_inp, fname_out, ec)) {
-        fprintf(stderr, "%s: error: input and output files are the same: '%s'\n", __func__, fname_inp.c_str());
-        return 1;
+    if (!params.dry_run) {
+        if (std::error_code ec; std::filesystem::equivalent(fname_inp, fname_out, ec)) {
+            fprintf(stderr, "%s: error: input and output files are the same: '%s'\n", __func__, fname_inp.c_str());
+            return 1;
+        }
     }
 
     print_build_info();
 
-    fprintf(stderr, "%s: quantizing '%s' to '%s' as %s", __func__, fname_inp.c_str(), fname_out.c_str(), ftype_str.c_str());
+    if (params.dry_run) {
+        fprintf(stderr, "%s: calculating quantization size for '%s' as %s", __func__, fname_inp.c_str(), ftype_str.c_str());
+    } else {
+        fprintf(stderr, "%s: quantizing '%s' to '%s' as %s", __func__, fname_inp.c_str(), fname_out.c_str(), ftype_str.c_str());
+    }
+
     if (params.nthread > 0) {
         fprintf(stderr, " using %d threads", params.nthread);
     }
@@ -730,4 +742,3 @@ int main(int argc, char ** argv) {
 
     return 0;
 }
-
diff --git a/tools/results/CMakeLists.txt b/tools/results/CMakeLists.txt
new file mode 100644
index 00000000000..2843b8488a1
--- /dev/null
+++ b/tools/results/CMakeLists.txt
@@ -0,0 +1,8 @@
+set(TARGET llama-results)
+add_executable(${TARGET} results.cpp)
+target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_17)
+
+if(LLAMA_TOOLS_INSTALL)
+    install(TARGETS ${TARGET} RUNTIME)
+endif()
diff --git a/tools/results/README.md b/tools/results/README.md
new file mode 100644
index 00000000000..85acfcf899c
--- /dev/null
+++ b/tools/results/README.md
@@ -0,0 +1,11 @@
+# Results
+
+The `llama-results` tool can be used to `--check` the outputs of a model vs. a previous commit to detect whether they have changed.
+Example usage:
+
+``` sh
+llama-results --model model.gguf --output results.gguf --prompt "People die when they are killed."  # writes results to file
+llama-results --model model.gguf --output results.gguf --prompt "People die when they are killed." --check  # compares results vs file
+```
+
+The metric by which the results are compared is the normalized mean squared error (NMSE) with a tolerance of $10^{-6}$.
diff --git a/tools/results/results.cpp b/tools/results/results.cpp
new file mode 100644
index 00000000000..e5c5df128e2
--- /dev/null
+++ b/tools/results/results.cpp
@@ -0,0 +1,181 @@
+#include "ggml-cpp.h"
+#include "ggml.h"
+#include "gguf.h"
+#include "llama.h"
+#include "common.h"
+#include "arg.h"
+#include "log.h"
+
+#include <cstdint>
+#include <string>
+#include <vector>
+
+// normalized mean squared error = mse(a, b) / mse(a, 0)
+static double nmse(const std::vector<float> & a, const std::vector<float> & b) {
+    GGML_ASSERT(a.size() == b.size());
+    double mse_a_b = 0.0;
+    double mse_a_0 = 0.0;
+
+    for (size_t i = 0; i < a.size(); i++) {
+        float a_i = a[i];
+        float b_i = b[i];
+
+        mse_a_b += (a_i - b_i) * (a_i - b_i);
+        mse_a_0 += a_i * a_i;
+    }
+
+    return mse_a_b / mse_a_0;
+}
+
+static std::vector<float> get_logits(
+        llama_model * model, llama_context * lctx, const std::vector<llama_token> & tokens) {
+    const uint32_t n_vocab  = llama_vocab_n_tokens(llama_model_get_vocab(model));
+    const uint32_t n_ctx    = llama_n_ctx(lctx);
+    const uint32_t n_tokens = tokens.size();
+    llama_batch batch = llama_batch_init(n_ctx, 0, 1);
+    GGML_ASSERT(n_tokens <= n_ctx);
+    for (uint32_t pos = 0; pos < n_tokens; pos++) {
+        common_batch_add(batch, tokens[pos], pos, {0}, true);
+    }
+    batch.n_tokens = n_tokens;
+    if (llama_decode(lctx, batch)) {
+        llama_batch_free(batch);
+        throw std::runtime_error("failed to decode batch");
+    }
+
+    std::vector<float> ret;
+    ret.reserve(n_tokens*n_vocab);
+    for (uint32_t i = 0; i < n_tokens; i++) {
+        const float * logits_ith = llama_get_logits_ith(lctx, i);
+        for (uint32_t j = 0; j < n_vocab; j++) {
+            ret.push_back(logits_ith[j]);
+        }
+    }
+    llama_batch_free(batch);
+    return ret;
+}
+
+int main(int argc, char ** argv) {
+    common_params params;
+    params.escape = false;
+    if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RESULTS)) {
+        return 1;
+    }
+    if (params.out_file.empty()) {
+        LOG_ERR("%s: an output file must be specified", __func__);
+        return 1;
+    }
+    common_init();
+    llama_backend_init();
+    llama_numa_init(params.numa);
+    common_init_result_ptr llama_init = common_init_from_params(params);
+    struct llama_model   * model = llama_init->model();
+    struct llama_context * lctx  = llama_init->context();
+    if (model == nullptr) {
+        LOG_ERR("%s: unable to load model\n", __func__);
+        return 1;
+    }
+    const uint32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model));
+
+    const std::vector<llama_token> tokens_calc = common_tokenize(lctx, params.prompt, true);
+    const std::vector<float> logits_calc = get_logits(model, lctx, tokens_calc);
+    GGML_ASSERT(logits_calc.size() == tokens_calc.size()*n_vocab);
+
+    struct gguf_init_params gguf_params = {
+        /*.no_alloc   =*/ true,
+        /*.ctx        =*/ nullptr,
+    };
+    gguf_context_ptr gguf_ctx_model(gguf_init_from_file(params.model.path.c_str(), gguf_params));
+
+    if (params.check) {
+        LOG_INF("%s: loading results from %s...\n", __func__, params.out_file.c_str());
+        gguf_context_ptr gguf_ctx;
+        {
+            struct gguf_init_params gguf_params = {
+                /*no_alloc =*/ true,
+                /*ctx      =*/ nullptr,
+            };
+            gguf_ctx.reset(gguf_init_from_file(params.out_file.c_str(), gguf_params));
+        }
+        const std::string path_model_disk = gguf_get_val_str(gguf_ctx.get(), gguf_find_key(gguf_ctx.get(), "path_model"));
+        GGML_ASSERT(path_model_disk == params.model.path); // TODO better checks
+
+        auto load_tensor_data = [&](const std::string & name, void * dst, const size_t size){
+            const int64_t tid    = gguf_find_tensor(gguf_ctx.get(), name.c_str());
+            const size_t  offset = gguf_get_data_offset(gguf_ctx.get()) + gguf_get_tensor_offset(gguf_ctx.get(), tid);
+            GGML_ASSERT(size == gguf_get_tensor_size(gguf_ctx.get(), tid));
+
+            FILE * file = ggml_fopen(params.out_file.c_str(), "rb");
+            if (file == nullptr) {
+                throw std::runtime_error("failed to open results file");
+            }
+            if (fseek(file, offset, SEEK_SET) != 0) {
+                throw std::runtime_error("fseek failed");
+            }
+            const size_t nbytes_read = fread(dst, 1, size, file);
+            if (nbytes_read != size) {
+                throw std::runtime_error("fread failed");
+            }
+        };
+
+        std::vector<llama_token> tokens_disk(tokens_calc.size());
+        load_tensor_data("tokens", tokens_disk.data(), tokens_disk.size()*sizeof(llama_token));
+        GGML_ASSERT(tokens_disk.size() == tokens_calc.size());
+        for (size_t i = 0; i < tokens_calc.size(); i++) {
+            GGML_ASSERT(tokens_disk[i] == tokens_calc[i]);
+        }
+
+        std::vector<float> logits_disk(logits_calc.size());
+        load_tensor_data("logits", logits_disk.data(), logits_disk.size()*sizeof(float));
+        const double nmse_val = nmse(logits_disk, logits_calc);
+        LOG_INF("%s: NMSE=%.3e\n", __func__, nmse_val);
+
+        if (nmse_val > 1e-6) {
+            printf("\033[1;31mFAIL\033[0m\n");
+            return 1;
+        }
+
+        printf("\033[1;32mOK\033[0m\n");
+        return 0;
+    }
+
+    ggml_context_ptr ggml_ctx_calc;
+    {
+        const size_t size_tokens = tokens_calc.size()*sizeof(llama_token) + ggml_tensor_overhead();
+        const size_t size_logits = logits_calc.size()*sizeof(float)  + ggml_tensor_overhead();
+        struct ggml_init_params params = {
+            /*.mem_size   =*/ size_tokens + size_logits,
+            /*.mem_buffer =*/ nullptr,
+            /*.no_alloc   =*/ false,
+        };
+        ggml_ctx_calc.reset(ggml_init(params));
+    }
+
+    gguf_context_ptr gguf_ctx(gguf_init_empty());
+    gguf_set_val_str(gguf_ctx.get(), "path_model", params.model.path.c_str());
+    {
+        ggml_tensor * t_tokens = ggml_new_tensor_1d(ggml_ctx_calc.get(), GGML_TYPE_I32, tokens_calc.size());
+        ggml_set_name(t_tokens, "tokens");
+        int32_t * tokens_data = (int32_t *) t_tokens->data;
+        for (uint32_t i = 0; i < tokens_calc.size(); i++) {
+            tokens_data[i] = tokens_calc[i];
+        }
+        gguf_add_tensor(gguf_ctx.get(), t_tokens);
+    }
+    {
+        ggml_tensor * t_logits = ggml_new_tensor_2d(ggml_ctx_calc.get(), GGML_TYPE_F32, tokens_calc.size(), n_vocab);
+        ggml_set_name(t_logits, "logits");
+        float * logits_data = ggml_get_data_f32(t_logits);
+        for (uint32_t i = 0; i < tokens_calc.size(); i++) {
+            const float * logits_ith = llama_get_logits_ith(lctx, i);
+            for (uint32_t j = 0; j < n_vocab; j++) {
+                logits_data[i*n_vocab + j] = logits_ith[j];
+            }
+        }
+        gguf_add_tensor(gguf_ctx.get(), t_logits);
+    }
+    LOG_INF("%s: writing results to %s...\n", __func__, params.out_file.c_str());
+    gguf_write_to_file(gguf_ctx.get(), params.out_file.c_str(), /*only_meta =*/ false);
+    return 0;
+}
+
diff --git a/tools/rpc/rpc-server.cpp b/tools/rpc/rpc-server.cpp
index 521f79622d4..03ab78e5f05 100644
--- a/tools/rpc/rpc-server.cpp
+++ b/tools/rpc/rpc-server.cpp
@@ -10,12 +10,15 @@
 #  include <unistd.h>
 #  include <sys/stat.h>
 #endif
-#include <string>
-#include <stdio.h>
-#include <vector>
 #include <algorithm>
-#include <thread>
+#include <clocale>
+#include <codecvt>
+#include <filesystem>
 #include <regex>
+#include <stdio.h>
+#include <string>
+#include <thread>
+#include <vector>
 
 #if defined(__linux__)
 #include <sys/types.h>
@@ -132,7 +135,8 @@ static std::string fs_get_cache_directory() {
     if (getenv("LLAMA_CACHE")) {
         cache_directory = std::getenv("LLAMA_CACHE");
     } else {
-#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || defined(__OpenBSD__)
+#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || \
+    defined(__OpenBSD__) || defined(__NetBSD__)
         if (std::getenv("XDG_CACHE_HOME")) {
             cache_directory = std::getenv("XDG_CACHE_HOME");
         } else if (std::getenv("HOME")) {
@@ -284,6 +288,8 @@ static std::vector<ggml_backend_dev_t> get_devices(const rpc_server_params & par
 }
 
 int main(int argc, char * argv[]) {
+    std::setlocale(LC_NUMERIC, "C");
+
     ggml_backend_load_all();
 
     rpc_server_params params;
diff --git a/tools/server/CMakeLists.txt b/tools/server/CMakeLists.txt
index a39b4c5b35f..5621a51b226 100644
--- a/tools/server/CMakeLists.txt
+++ b/tools/server/CMakeLists.txt
@@ -28,10 +28,6 @@ target_link_libraries(${TARGET} PUBLIC common mtmd ${CMAKE_THREAD_LIBS_INIT})
 
 set(TARGET llama-server)
 
-if (NOT LLAMA_HTTPLIB)
-    message(FATAL_ERROR "LLAMA_HTTPLIB is OFF, cannot build llama-server. Hint: to skip building server, set -DLLAMA_BUILD_SERVER=OFF")
-endif()
-
 set(TARGET_SRCS
     server.cpp
     server-http.cpp
@@ -63,8 +59,4 @@ target_include_directories(${TARGET} PRIVATE ../mtmd)
 target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
 target_link_libraries(${TARGET} PRIVATE server-context PUBLIC common cpp-httplib ${CMAKE_THREAD_LIBS_INIT})
 
-if (WIN32)
-    TARGET_LINK_LIBRARIES(${TARGET} PRIVATE ws2_32)
-endif()
-
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/tools/server/README.md b/tools/server/README.md
index d1328301717..da16ddc756e 100644
--- a/tools/server/README.md
+++ b/tools/server/README.md
@@ -19,7 +19,7 @@ Set of LLM REST APIs and a web UI to interact with llama.cpp.
  * Speculative decoding
  * Easy-to-use web UI
 
-For the ful list of features, please refer to [server's changelog](https://github.com/ggml-org/llama.cpp/issues/9291)
+For the full list of features, please refer to [server's changelog](https://github.com/ggml-org/llama.cpp/issues/9291)
 
 ## Usage
 
@@ -74,8 +74,8 @@ For the ful list of features, please refer to [server's changelog](https://githu
 | `-ctv, --cache-type-v TYPE` | KV cache data type for V<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V) |
 | `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
 | `--mlock` | force system to keep model in RAM rather than swapping or compressing<br/>(env: LLAMA_ARG_MLOCK) |
-| `--mmap, --no-mmap` | whether to memory-map model. Explicitly enabling mmap disables direct-io. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
-| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. Takes precedence over --mmap (default: enabled)<br/>(env: LLAMA_ARG_DIO) |
+| `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)<br/>(env: LLAMA_ARG_MMAP) |
+| `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)<br/>(env: LLAMA_ARG_DIO) |
 | `--numa TYPE` | attempt optimizations that help on some NUMA systems<br/>- distribute: spread execution evenly over all nodes<br/>- isolate: only spawn threads on CPUs on the node that execution started on<br/>- numactl: use the CPU map provided by numactl<br/>if run without this previously, it is recommended to drop the system page cache before using this<br/>see https://github.com/ggml-org/llama.cpp/issues/1437<br/>(env: LLAMA_ARG_NUMA) |
 | `-dev, --device <dev1,dev2,..>` | comma-separated list of devices to use for offloading (none = don't offload)<br/>use --list-devices to see a list of available devices<br/>(env: LLAMA_ARG_DEVICE) |
 | `--list-devices` | print list of available devices and exit |
@@ -126,14 +126,14 @@ For the ful list of features, please refer to [server's changelog](https://githu
 | `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
 | `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
 | `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
-| `--temp N` | temperature (default: 0.80) |
+| `--temp, --temperature N` | temperature (default: 0.80) |
 | `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
 | `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
 | `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
-| `--top-nsigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
+| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
 | `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
 | `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
-| `--typical N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
+| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
 | `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) |
 | `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
 | `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
@@ -162,9 +162,11 @@ For the ful list of features, please refer to [server's changelog](https://githu
 
 | Argument | Explanation |
 | -------- | ----------- |
+| `-lcs, --lookup-cache-static FNAME` | path to static lookup cache to use for lookup decoding (not updated by generation) |
+| `-lcd, --lookup-cache-dynamic FNAME` | path to dynamic lookup cache to use for lookup decoding (updated by generation) |
 | `--ctx-checkpoints, --swa-checkpoints N` | max number of context checkpoints to create per slot (default: 8)[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293)<br/>(env: LLAMA_ARG_CTX_CHECKPOINTS) |
 | `-cram, --cache-ram N` | set the maximum cache size in MiB (default: 8192, -1 - no limit, 0 - disable)[(more info)](https://github.com/ggml-org/llama.cpp/pull/16391)<br/>(env: LLAMA_ARG_CACHE_RAM) |
-| `-kvu, --kv-unified` | use single unified KV buffer shared across all sequences (default: enabled if number of slots is auto)<br/>(env: LLAMA_ARG_KV_UNIFIED) |
+| `-kvu, --kv-unified, -no-kvu, --no-kv-unified` | use single unified KV buffer shared across all sequences (default: enabled if number of slots is auto)<br/>(env: LLAMA_ARG_KV_UNIFIED) |
 | `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)<br/>(env: LLAMA_ARG_CONTEXT_SHIFT) |
 | `-r, --reverse-prompt PROMPT` | halt generation at PROMPT, return control in interactive mode |
 | `-sp, --special` | special tokens output enabled (default: false) |
@@ -182,7 +184,8 @@ For the ful list of features, please refer to [server's changelog](https://githu
 | `-otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
 | `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_CPU_MOE_DRAFT) |
 | `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_N_CPU_MOE_DRAFT) |
-| `-a, --alias STRING` | set alias for model name (to be used by REST API)<br/>(env: LLAMA_ARG_ALIAS) |
+| `-a, --alias STRING` | set model name aliases, comma-separated (to be used by API)<br/>(env: LLAMA_ARG_ALIAS) |
+| `--tags STRING` | set model tags, comma-separated (informational, not used for routing)<br/>(env: LLAMA_ARG_TAGS) |
 | `--host HOST` | ip address to listen, or bind to an UNIX socket if the address ends with .sock (default: 127.0.0.1)<br/>(env: LLAMA_ARG_HOST) |
 | `--port PORT` | port to listen (default: 8080)<br/>(env: LLAMA_ARG_PORT) |
 | `--path PATH` | path to serve static files from (default: )<br/>(env: LLAMA_ARG_STATIC_PATH) |
@@ -229,6 +232,10 @@ For the ful list of features, please refer to [server's changelog](https://githu
 | `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
 | `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_MODEL_DRAFT) |
 | `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
+| `--spec-type [none\|ngram-cache\|ngram-simple\|ngram-map-k\|ngram-map-k4v\|ngram-mod]` | type of speculative decoding to use when no draft model is provided (default: none) |
+| `--spec-ngram-size-n N` | ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-size-m N` | ngram size M for ngram-simple/ngram-map speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-min-hits N` | minimum hits for ngram-map speculative decoding (default: 1) |
 | `-mv, --model-vocoder FNAME` | vocoder model for audio generation (default: unused) |
 | `--tts-use-guide-tokens` | Use guide tokens to improve TTS word recall |
 | `--embd-gemma-default` | use default EmbeddingGemma model (note: can download weights from the internet) |
@@ -1510,7 +1517,7 @@ version = 1
 ; If the same key is defined in a specific preset, it will override the value in this global section.
 [*]
 c = 8192
-n-gpu-layer = 8
+n-gpu-layers = 8
 
 ; If the key corresponds to an existing model on the server,
 ; this will be used as the default config for that model
diff --git a/tools/server/public/index.html.gz b/tools/server/public/index.html.gz
index e3b06f49010..493058aa015 100644
Binary files a/tools/server/public/index.html.gz and b/tools/server/public/index.html.gz differ
diff --git a/tools/server/public_legacy/index-new.html b/tools/server/public_legacy/index-new.html
index e2f39d6687e..2cee7f3c3c4 100644
--- a/tools/server/public_legacy/index-new.html
+++ b/tools/server/public_legacy/index-new.html
@@ -36,7 +36,7 @@
 
     const params = signal({
       n_predict: 358, // 358 is a nice number
-      temperature: 0.8, // adapt all following parameters to optimized min-p requierements. If for non-english, set to 0.6 or lower
+      temperature: 0.8, // adapt all following parameters to optimized min-p requirements. If for non-english, set to 0.6 or lower
       repeat_last_n: 0, // 0 = disable penalty, -1 = context size
       repeat_penalty: 1.0, // 1.0 = disabled
       dry_multiplier: 0.0, // 0.0 = disabled, 0.8 works well
@@ -108,7 +108,7 @@
     let importedTemplates = local_storage_getDataAsObject('user_templates')
 
     if (importedTemplates) {
-      // saved templates were successfuly imported.
+      // saved templates were successfully imported.
 
       console.log('Processing saved templates and updating default template')
       params.value = { ...params.value, image_data: [] };
@@ -129,7 +129,7 @@
     }
 
     function userTemplateResetToDefault() {
-      console.log('Reseting themplate to default')
+      console.log('Reseting template to default')
       selectedUserTemplate.value.name = 'default';
       selectedUserTemplate.value.data = savedUserTemplates.value['default'];
     }
diff --git a/tools/server/public_legacy/json-schema-to-grammar.mjs b/tools/server/public_legacy/json-schema-to-grammar.mjs
index 38576c45fa0..bb25887a144 100644
--- a/tools/server/public_legacy/json-schema-to-grammar.mjs
+++ b/tools/server/public_legacy/json-schema-to-grammar.mjs
@@ -729,6 +729,10 @@ export class SchemaConverter {
       return this._addRule(ruleName, out.join(''));
     } else if ((schemaType === 'object') || (Object.keys(schema).length === 0)) {
       return this._addRule(ruleName, this._addPrimitive('object', PRIMITIVE_RULES['object']));
+    } else if (schemaType === undefined && typeof schema === 'object' && !Array.isArray(schema) && schema !== null) {
+      // No type constraint and no recognized structural keywords (e.g. {"description": "..."}).
+      // Per JSON Schema semantics this is equivalent to {} and accepts any value.
+      return this._addRule(ruleName, this._addPrimitive('value', PRIMITIVE_RULES['value']));
     } else {
       if (!(schemaType in PRIMITIVE_RULES)) {
         throw new Error(`Unrecognized schema: ${JSON.stringify(schema)}`);
diff --git a/tools/server/public_simplechat/datautils.mjs b/tools/server/public_simplechat/datautils.mjs
index 75159d6b167..08ccc219bfd 100644
--- a/tools/server/public_simplechat/datautils.mjs
+++ b/tools/server/public_simplechat/datautils.mjs
@@ -63,7 +63,7 @@ export function trim_repeat_garbage_at_end(sIn, maxSubL=10, maxMatchLenThreshold
 
 
 /**
- * Simple minded logic to help remove repeating garbage at end of the string, till it cant.
+ * Simple minded logic to help remove repeating garbage at end of the string, till it can't.
  * If its not able to trim, then it will try to skip a char at end and then trim, a few times.
  * This ensures that even if there are multiple runs of garbage with different patterns, the
  * logic still tries to munch through them.
diff --git a/tools/server/public_simplechat/readme.md b/tools/server/public_simplechat/readme.md
index 24e026d455b..cc86d62494c 100644
--- a/tools/server/public_simplechat/readme.md
+++ b/tools/server/public_simplechat/readme.md
@@ -30,7 +30,7 @@ The UI follows a responsive web design so that the layout can adapt to available
 enough manner, in general.
 
 Allows developer/end-user to control some of the behaviour by updating gMe members from browser's devel-tool
-console. Parallely some of the directly useful to end-user settings can also be changed using the provided
+console. Parallelly some of the directly useful to end-user settings can also be changed using the provided
 settings ui.
 
 NOTE: Current web service api doesnt expose the model context length directly, so client logic doesnt provide
@@ -38,7 +38,7 @@ any adaptive culling of old messages nor of replacing them with summary of their
 is a optional sliding window based chat logic, which provides a simple minded culling of old messages from
 the chat history before sending to the ai model.
 
-NOTE: Wrt options sent with the request, it mainly sets temperature, max_tokens and optionaly stream for now.
+NOTE: Wrt options sent with the request, it mainly sets temperature, max_tokens and optionally stream for now.
 However if someone wants they can update the js file or equivalent member in gMe as needed.
 
 NOTE: One may be able to use this to chat with openai api web-service /chat/completions endpoint, in a very
@@ -88,7 +88,7 @@ Once inside
     then the end user needs to enter the same.
     This keeps the logic simple, while still giving flexibility to the end user to
     manage any templating/tagging requirement wrt their messages to the model.
-  * the logic doesnt insert newline at the begining and end wrt the prompt message generated.
+  * the logic doesnt insert newline at the beginning and end wrt the prompt message generated.
     However if the chat being sent to /completions end point has more than one role's message,
     then insert newline when moving from one role's message to the next role's message, so
     that it can be clearly identified/distinguished.
@@ -101,8 +101,8 @@ Once inside
   Normally Completion mode doesnt need system prompt, while Chat mode can generate better/interesting
   responses with a suitable system prompt.
   * if chat.add_system_begin is used
-    * you cant change the system prompt, after it is has been submitted once along with user query.
-    * you cant set a system prompt, after you have submitted any user query
+    * you can't change the system prompt, after it is has been submitted once along with user query.
+    * you can't set a system prompt, after you have submitted any user query
   * if chat.add_system_anytime is used
     * one can change the system prompt any time during chat, by changing the contents of system prompt.
     * inturn the updated/changed system prompt will be inserted into the chat session.
@@ -129,7 +129,7 @@ Once inside
 
 ### Reason behind this
 
-The idea is to be easy enough to use for basic purposes, while also being simple and easily discernable
+The idea is to be easy enough to use for basic purposes, while also being simple and easily discernible
 by developers who may not be from web frontend background (so inturn may not be familiar with template /
 end-use-specific-language-extensions driven flows) so that they can use it to explore/experiment things.
 
@@ -167,7 +167,7 @@ It is attached to the document object. Some of these can also be updated using t
   messages that get inserted into prompt field wrt /Completion endpoint.
 
   bTrimGarbage - whether garbage repeatation at the end of the generated ai response, should be
-  trimmed or left as is. If enabled, it will be trimmed so that it wont be sent back as part of
+  trimmed or left as is. If enabled, it will be trimmed so that it won't be sent back as part of
   subsequent chat history. At the same time the actual trimmed text is shown to the user, once
   when it was generated, so user can check if any useful info/data was there in the response.
 
@@ -244,7 +244,7 @@ full chat history. This way if there is any response with garbage/repeatation, i
 mess with things beyond the next question/request/query, in some ways. The trim garbage
 option also tries to help avoid issues with garbage in the context to an extent.
 
-Set max_tokens to 1024, so that a relatively large previous reponse doesnt eat up the space
+Set max_tokens to 1024, so that a relatively large previous response doesnt eat up the space
 available wrt next query-response. However dont forget that the server when started should
 also be started with a model context size of 1k or more, to be on safe side.
 
diff --git a/tools/server/public_simplechat/simplechat.js b/tools/server/public_simplechat/simplechat.js
index 2fcd24a860b..c67577d5ae7 100644
--- a/tools/server/public_simplechat/simplechat.js
+++ b/tools/server/public_simplechat/simplechat.js
@@ -318,7 +318,7 @@ class SimpleChat {
     }
 
     /**
-     * Allow setting of system prompt, but only at begining.
+     * Allow setting of system prompt, but only at beginning.
      * @param {string} sysPrompt
      * @param {string} msgTag
      */
@@ -333,7 +333,7 @@ class SimpleChat {
                     console.error(`ERRR:SimpleChat:SC:${msgTag}:You need to specify system prompt before any user query, ignoring...`);
                 } else {
                     if (this.xchat[0].content !== sysPrompt) {
-                        console.error(`ERRR:SimpleChat:SC:${msgTag}:You cant change system prompt, mid way through, ignoring...`);
+                        console.error(`ERRR:SimpleChat:SC:${msgTag}:You can't change system prompt, mid way through, ignoring...`);
                     }
                 }
             }
diff --git a/tools/server/public_simplechat/ui.mjs b/tools/server/public_simplechat/ui.mjs
index b2d5b9aeab7..afa619a0663 100644
--- a/tools/server/public_simplechat/ui.mjs
+++ b/tools/server/public_simplechat/ui.mjs
@@ -44,7 +44,7 @@ export function el_create_button(id, callback, name=undefined, innerText=undefin
 }
 
 /**
- * Create a para and set it up. Optionaly append it to a passed parent.
+ * Create a para and set it up. Optionally append it to a passed parent.
  * @param {string} text
  * @param {HTMLElement | undefined} elParent
  * @param {string | undefined} id
@@ -111,7 +111,7 @@ export function el_creatediv_boolbutton(id, label, texts, defaultValue, cb, clas
 /**
  * Create a select ui element, with a set of options to select from.
  * * options: an object which contains name-value pairs
- * * defaultOption: the value whose name should be choosen, by default.
+ * * defaultOption: the value whose name should be chosen, by default.
  * * cb : the call back returns the name string of the option selected.
  *
  * @param {string} id
diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp
index a853f65c8d8..bd203228cce 100644
--- a/tools/server/server-common.cpp
+++ b/tools/server/server-common.cpp
@@ -231,19 +231,77 @@ server_tokens::server_tokens(mtmd::input_chunks & mtmd_chunks, bool has_mtmd) :
 server_tokens::server_tokens(const llama_tokens & tokens, bool has_mtmd) : has_mtmd(has_mtmd), tokens(tokens) {
 }
 
-llama_pos server_tokens::pos_next() const {
+llama_pos server_tokens::pos_next(int64_t n_tokens) const {
     if (!has_mtmd) {
-        return tokens.size();
+        if (n_tokens < 0) {
+            return tokens.size();
+        }
+
+        return n_tokens;
     }
 
-    llama_pos res = tokens.size();
+    if (n_tokens < 0) {
+        llama_pos res = tokens.size();
 
-    for (auto it = map_idx_to_media.begin(); it != map_idx_to_media.end(); ++it) {
-        const auto & chunk = it->second;
-        res += mtmd_input_chunk_get_n_pos(chunk.get()) - mtmd_input_chunk_get_n_tokens(chunk.get());
+        for (auto it = map_idx_to_media.begin(); it != map_idx_to_media.end(); ++it) {
+            const auto & chunk = it->second;
+            res += mtmd_input_chunk_get_n_pos(chunk.get()) - mtmd_input_chunk_get_n_tokens(chunk.get());
+        }
+
+        return res;
     }
 
-    return res;
+    int64_t idx = 0;
+    llama_pos pos = 0;
+
+    GGML_ASSERT(n_tokens <= (int64_t)tokens.size());
+
+    while (idx < n_tokens) {
+        const auto media_it = map_idx_to_media.find(idx);
+        if (media_it != map_idx_to_media.end()) {
+            const auto & chunk = media_it->second;
+            const llama_pos n_pos = mtmd_input_chunk_get_n_pos(chunk.get());
+            const size_t n_tok = mtmd_input_chunk_get_n_tokens(chunk.get());
+
+            pos += n_pos;
+            idx += n_tok;
+        } else {
+            pos++;
+            idx++;
+        }
+    }
+
+    return pos;
+}
+
+size_t server_tokens::size_up_to_pos(llama_pos max_pos) const {
+    if (!has_mtmd) {
+        return std::min((size_t)max_pos, tokens.size());
+    }
+
+    size_t idx = 0;
+    llama_pos pos = 0;
+
+    while (idx < tokens.size()) {
+        const auto media_it = map_idx_to_media.find(idx);
+        if (media_it != map_idx_to_media.end()) {
+            const auto & chunk = media_it->second;
+            const llama_pos n_pos = mtmd_input_chunk_get_n_pos(chunk.get());
+            const size_t n_tok = mtmd_input_chunk_get_n_tokens(chunk.get());
+
+            pos += n_pos;
+            idx += n_tok;
+        } else {
+            pos++;
+            idx++;
+        }
+
+        if (pos >= max_pos) {
+            break;
+        }
+    }
+
+    return idx;
 }
 
 std::string server_tokens::str() const {
@@ -916,8 +974,7 @@ json oaicompat_chat_params_parse(
                 json image_url = json_value(p, "image_url", json::object());
                 handle_media(out_files, image_url, opt.media_path);
 
-                // replace this chunk with a marker
-                p["type"] = "text";
+                p["type"] = "media_marker";
                 p["text"] = mtmd_default_marker();
                 p.erase("image_url");
 
@@ -938,8 +995,7 @@ json oaicompat_chat_params_parse(
 
                 // TODO: add audio_url support by reusing handle_media()
 
-                // replace this chunk with a marker
-                p["type"] = "text";
+                p["type"] = "media_marker";
                 p["text"] = mtmd_default_marker();
                 p.erase("input_audio");
 
@@ -1045,6 +1101,22 @@ json oaicompat_chat_params_parse(
         llama_params["chat_parser"] = chat_params.parser;
     }
 
+    // Reasoning budget: pass parameters through to sampling layer
+    {
+        int reasoning_budget = opt.reasoning_budget;
+        if (reasoning_budget == -1 && body.contains("thinking_budget_tokens")) {
+            reasoning_budget = json_value(body, "thinking_budget_tokens", -1);
+        }
+
+        if (reasoning_budget >= 0 && !chat_params.thinking_end_tag.empty()) {
+            llama_params["reasoning_budget_tokens"] = reasoning_budget;
+            llama_params["reasoning_budget_start_tag"] = chat_params.thinking_start_tag;
+            llama_params["reasoning_budget_end_tag"] = chat_params.thinking_end_tag;
+            llama_params["reasoning_budget_message"] = opt.reasoning_budget_message;
+            llama_params["reasoning_budget_activate_immediately"] = chat_params.thinking_forced_open;
+        }
+    }
+
     // Handle "logprobs" field
     // TODO: The response format of this option is not yet OAI-compatible, but seems like no one really using it; We may need to fix it in the future
     if (json_value(body, "logprobs", false)) {
@@ -1107,6 +1179,8 @@ json convert_responses_to_chatcmpl(const json & response_body) {
         };
 
         for (json item : input_value) {
+            bool merge_prev = !chatcmpl_messages.empty() && chatcmpl_messages.back().value("role", "") == "assistant";
+
             if (exists_and_is_string(item, "content")) {
                 // #responses_create-input-input_item_list-input_message-content-text_input
                 // Only "Input message" contains item["content"]::string
@@ -1195,7 +1269,7 @@ json convert_responses_to_chatcmpl(const json & response_body) {
                 item.at("type") == "message"
             ) {
                 // #responses_create-input-input_item_list-item-output_message
-                std::vector<json> chatcmpl_content;
+                auto chatcmpl_content = json::array();
 
                 for (const auto & output_text : item.at("content")) {
                     const std::string type = json_value(output_text, "type", std::string());
@@ -1212,10 +1286,19 @@ json convert_responses_to_chatcmpl(const json & response_body) {
                     });
                 }
 
-                item.erase("status");
-                item.erase("type");
-                item["content"] = chatcmpl_content;
-                chatcmpl_messages.push_back(item);
+                if (merge_prev) {
+                    auto & prev_msg = chatcmpl_messages.back();
+                    if (!exists_and_is_array(prev_msg, "content")) {
+                        prev_msg["content"] = json::array();
+                    }
+                    auto & prev_content = prev_msg["content"];
+                    prev_content.insert(prev_content.end(), chatcmpl_content.begin(), chatcmpl_content.end());
+                } else {
+                    item.erase("status");
+                    item.erase("type");
+                    item["content"] = chatcmpl_content;
+                    chatcmpl_messages.push_back(item);
+                }
             } else if (exists_and_is_string(item, "arguments") &&
                 exists_and_is_string(item, "call_id") &&
                 exists_and_is_string(item, "name") &&
@@ -1223,24 +1306,27 @@ json convert_responses_to_chatcmpl(const json & response_body) {
                 item.at("type") == "function_call"
             ) {
                 // #responses_create-input-input_item_list-item-function_tool_call
-                json msg = json {
-                    {"role", "assistant"},
-                    {"tool_calls", json::array({ json {
-                        {"function", json {
-                            {"arguments", item.at("arguments")},
-                            {"name",      item.at("name")},
-                        }},
-                        {"id",   item.at("call_id")},
-                        {"type", "function"},
-                    }})},
+                json tool_call = {
+                    {"function", json {
+                        {"arguments", item.at("arguments")},
+                        {"name",      item.at("name")},
+                    }},
+                    {"id",   item.at("call_id")},
+                    {"type", "function"},
                 };
 
-                if (!chatcmpl_messages.empty() && chatcmpl_messages.back().contains("reasoning_content")) {
-                    // Move reasoning content from dummy message to tool call message
-                    msg["reasoning_content"] = chatcmpl_messages.back().at("reasoning_content");
-                    chatcmpl_messages.pop_back();
+                if (merge_prev) {
+                    auto & prev_msg = chatcmpl_messages.back();
+                    if (!exists_and_is_array(prev_msg, "tool_calls")) {
+                        prev_msg["tool_calls"] = json::array();
+                    }
+                    prev_msg["tool_calls"].push_back(tool_call);
+                } else {
+                    chatcmpl_messages.push_back(json {
+                        {"role",       "assistant"},
+                        {"tool_calls", json::array({tool_call})}
+                    });
                 }
-                chatcmpl_messages.push_back(msg);
             } else if (exists_and_is_string(item, "call_id") &&
                 (exists_and_is_string(item, "output") || exists_and_is_array(item, "output")) &&
                 exists_and_is_string(item, "type") &&
@@ -1284,12 +1370,16 @@ json convert_responses_to_chatcmpl(const json & response_body) {
                     throw std::invalid_argument("item['content']['text'] is not a string");
                 }
 
-                // Pack reasoning content in dummy message
-                chatcmpl_messages.push_back(json {
-                    {"role", "assistant"},
-                    {"content", json::array()},
-                    {"reasoning_content", item.at("content")[0].at("text")},
-                });
+                if (merge_prev) {
+                    auto & prev_msg = chatcmpl_messages.back();
+                    prev_msg["reasoning_content"] = item.at("content")[0].at("text");
+                } else {
+                    chatcmpl_messages.push_back(json {
+                        {"role", "assistant"},
+                        {"content", json::array()},
+                        {"reasoning_content", item.at("content")[0].at("text")},
+                    });
+                }
             } else {
                 throw std::invalid_argument("Cannot determine type of 'item'");
             }
@@ -1298,20 +1388,6 @@ json convert_responses_to_chatcmpl(const json & response_body) {
         throw std::invalid_argument("'input' must be a string or array of objects");
     }
 
-    // Remove unused dummy message which contains
-    // reasoning content not followed by tool call
-    chatcmpl_messages.erase(std::remove_if(
-        chatcmpl_messages.begin(),
-        chatcmpl_messages.end(),
-        [](const json & x){ return x.contains("role") &&
-            x.at("role") == "assistant" &&
-            x.contains("content") &&
-            x.at("content") == json::array() &&
-            x.contains("reasoning_content");
-        }),
-        chatcmpl_messages.end()
-    );
-
     chatcmpl_body["messages"] = chatcmpl_messages;
 
     if (response_body.contains("tools")) {
@@ -1403,6 +1479,7 @@ json convert_anthropic_to_oai(const json & body) {
             json tool_calls = json::array();
             json converted_content = json::array();
             json tool_results = json::array();
+            std::string reasoning_content;
             bool has_tool_calls = false;
 
             for (const auto & block : content) {
@@ -1410,6 +1487,8 @@ json convert_anthropic_to_oai(const json & body) {
 
                 if (type == "text") {
                     converted_content.push_back(block);
+                } else if (type == "thinking") {
+                    reasoning_content += json_value(block, "thinking", std::string());
                 } else if (type == "image") {
                     json source = json_value(block, "source", json::object());
                     std::string source_type = json_value(source, "type", std::string());
@@ -1468,16 +1547,19 @@ json convert_anthropic_to_oai(const json & body) {
                 }
             }
 
-            if (!converted_content.empty() || has_tool_calls) {
+            if (!converted_content.empty() || has_tool_calls || !reasoning_content.empty()) {
                 json new_msg = {{"role", role}};
                 if (!converted_content.empty()) {
                     new_msg["content"] = converted_content;
-                } else if (has_tool_calls) {
+                } else if (has_tool_calls || !reasoning_content.empty()) {
                     new_msg["content"] = "";
                 }
                 if (!tool_calls.empty()) {
                     new_msg["tool_calls"] = tool_calls;
                 }
+                if (!reasoning_content.empty()) {
+                    new_msg["reasoning_content"] = reasoning_content;
+                }
                 oai_messages.push_back(new_msg);
             }
 
diff --git a/tools/server/server-common.h b/tools/server/server-common.h
index 2629a6bee92..3e56b3d856d 100644
--- a/tools/server/server-common.h
+++ b/tools/server/server-common.h
@@ -167,7 +167,12 @@ struct server_tokens {
     // for debugging
     std::string str() const;
 
-    llama_pos pos_next() const;
+    // the next position after n_tokens. if n_tokens < 0, return the next position after all tokens.
+    llama_pos pos_next(int64_t n_tokens = -1) const;
+
+    // number of tokens with position < max_pos
+    size_t size_up_to_pos(llama_pos max_pos) const;
+
     const mtmd::input_chunk_ptr & find_chunk(size_t idx) const;
 
     void push_back(llama_token tok);
@@ -282,6 +287,8 @@ struct server_chat_params {
     bool allow_image;
     bool allow_audio;
     bool enable_thinking = true;
+    int  reasoning_budget = -1;
+    std::string reasoning_budget_message;
     std::string media_path;
 };
 
diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp
index ceafcac179c..c47ad876cb8 100644
--- a/tools/server/server-context.cpp
+++ b/tools/server/server-context.cpp
@@ -12,6 +12,7 @@
 #include "mtmd.h"
 #include "mtmd-helper.h"
 
+#include <algorithm>
 #include <cstddef>
 #include <cinttypes>
 #include <memory>
@@ -77,6 +78,7 @@ struct server_slot {
     size_t last_nl_pos = 0;
 
     std::string  generated_text;
+    std::string  debug_generated_text;
     llama_tokens generated_tokens;
 
     // idx of draft tokens in the main batch
@@ -425,7 +427,7 @@ struct server_slot {
 
             if (!only_metrics) {
                 res["prompt"] = ptask->tokens.detokenize(ctx, true);
-                res["generated"] = generated_text;
+                res["generated"] = generated_text.empty() ? debug_generated_text : generated_text;
             }
         }
 
@@ -560,7 +562,7 @@ struct server_context_impl {
 
     llama_model_ptr model_dft;
 
-    bool add_bos_token  = true;
+    bool add_bos_token = true;
 
     int32_t n_ctx; // total context for all clients / slots
 
@@ -568,6 +570,7 @@ struct server_context_impl {
     std::vector<server_slot> slots;
 
     int slots_debug = 0;
+    int n_empty_consecutive = 0;
 
     std::unique_ptr<server_prompt_cache> prompt_cache;
 
@@ -579,6 +582,8 @@ struct server_context_impl {
     float slot_prompt_similarity = 0.0f;
 
     std::string model_name; // name of the loaded model, to be used by API
+    std::set<std::string> model_aliases; // additional names for the model
+    std::set<std::string> model_tags;    // informational tags
 
     bool sleeping = false;
 
@@ -724,6 +729,13 @@ struct server_context_impl {
             }
         }
 
+        if (llama_model_n_swa(model) == 0) {
+            if (params_base.swa_full) {
+                params_base.swa_full = false;
+                SRV_WRN("%s\n", "swa_full is not supported by this model, it will be disabled");
+            }
+        }
+
         // Necessary similarity of prompt for slot selection
         slot_prompt_similarity = params_base.slot_prompt_similarity;
 
@@ -812,10 +824,9 @@ struct server_context_impl {
         SRV_WRN("%s", "for more info see https://github.com/ggml-org/llama.cpp/pull/16391\n");
 
         if (!params_base.model_alias.empty()) {
-            // user explicitly specified model name
-            model_name = params_base.model_alias;
+            // backward compat: use first alias as model name
+            model_name = *params_base.model_alias.begin();
         } else if (!params_base.model.name.empty()) {
-            // use model name in registry format (for models in cache)
             model_name = params_base.model.name;
         } else {
             // fallback: derive model name from file name
@@ -823,6 +834,9 @@ struct server_context_impl {
             model_name = model_path.filename().string();
         }
 
+        model_aliases = params_base.model_alias;
+        model_tags    = params_base.model_tags;
+
         if (!is_resume) {
             return init();
         }
@@ -879,9 +893,10 @@ struct server_context_impl {
             }
 
             // thinking is enabled if:
-            // 1. It's not explicitly disabled (reasoning_budget == 0)
+            // 1. It's not explicitly disabled via --reasoning off
             // 2. The chat template supports it
-            const bool enable_thinking = params_base.use_jinja && params_base.reasoning_budget != 0 && common_chat_templates_support_enable_thinking(chat_templates.get());
+            const bool template_supports_thinking = params_base.use_jinja && common_chat_templates_support_enable_thinking(chat_templates.get());
+            const bool enable_thinking = params_base.enable_reasoning != 0 && template_supports_thinking;
             SRV_INF("%s: chat template, thinking = %d\n", __func__, enable_thinking);
 
             chat_params = {
@@ -893,6 +908,8 @@ struct server_context_impl {
                 /* allow_image           */ mctx ? mtmd_support_vision(mctx) : false,
                 /* allow_audio           */ mctx ? mtmd_support_audio (mctx) : false,
                 /* enable_thinking       */ enable_thinking,
+                /* reasoning_budget      */ params_base.reasoning_budget,
+                /* reasoning_budget_msg  */ params_base.reasoning_budget_message,
                 /* media_path            */ params_base.media_path,
             };
         }
@@ -994,9 +1011,6 @@ struct server_context_impl {
             // don't update the cache if the slot's context is empty
             update_cache = update_cache && tokens.size() > 0;
 
-            // TODO: mtmd does not support prompt cache
-            update_cache = update_cache && (ret->mctx == nullptr);
-
             if (update_cache) {
                 SRV_WRN("%s", "updating prompt cache\n");
 
@@ -1175,6 +1189,9 @@ struct server_context_impl {
             ? SLOT_STATE_WAIT_OTHER // wait for the parent to process prompt
             : SLOT_STATE_STARTED;
 
+        // reset server kill-switch counter
+        n_empty_consecutive = 0;
+
         SLT_INF(slot, "processing task, is_child = %d\n", slot.task->is_child());
         return true;
     }
@@ -1441,7 +1458,13 @@ struct server_context_impl {
         res->id      = slot.task->id;
         res->id_slot = slot.id;
 
-        res->index           = slot.task->index;
+        res->index = slot.task->index;
+
+        // keep copy of last generated text for debugging purposes
+        if (slots_debug) {
+            slot.debug_generated_text = slot.generated_text;
+        }
+
         // in stream mode, content and tokens are already in last partial chunk
         if (slot.task->params.stream) {
             res->content     = "";
@@ -2124,6 +2147,9 @@ struct server_context_impl {
                 if (slot.state == SLOT_STATE_PROCESSING_PROMPT || slot.state == SLOT_STATE_STARTED) {
                     const auto & input_tokens = slot.task->tokens;
 
+                    // used to determine the number of tokens added to the batch for the current slot
+                    const auto n_tokens_prev = batch.n_tokens;
+
                     // TODO: maybe move branch to outside of this loop in the future
                     if (slot.state == SLOT_STATE_STARTED) {
                         slot.t_start_process_prompt = ggml_time_us();
@@ -2275,15 +2301,15 @@ struct server_context_impl {
                                 n_past = 0;
                             }
 
+                            llama_pos pos_next = slot.prompt.tokens.pos_next(n_past);
+
                             // note: when n_swa == 0, the model does not use SWA, which is equivalent to a window of 1
                             const auto n_swa = std::max(1, llama_model_n_swa(model));
 
                             // the largest pos_min required for a checkpoint to be useful
-                            const auto pos_min_thold = std::max(0, n_past - n_swa);
+                            const auto pos_min_thold = std::max(0, pos_next - n_swa);
 
-                            // note: disallow with mtmd contexts for now
-                            //       https://github.com/ggml-org/llama.cpp/issues/17043
-                            if (!mctx && n_past > 0 && n_past < slot.prompt.n_tokens()) {
+                            if (n_past > 0 && n_past < slot.prompt.n_tokens()) {
                                 const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), slot.id);
                                 if (pos_min == -1) {
                                     SLT_ERR(slot, "n_past = %d, slot.prompt.tokens.size() = %d, seq_id = %d, pos_min = %d\n", n_past, (int) slot.prompt.tokens.size(), slot.id, pos_min);
@@ -2334,17 +2360,16 @@ struct server_context_impl {
                                 }
 
                                 if (pos_min > pos_min_thold) {
-                                    // TODO: support can be added in the future when corresponding vision models get released
-                                    GGML_ASSERT(!slot.prompt.tokens.has_mtmd);
-
                                     SLT_WRN(slot, "n_past = %d, slot.prompt.tokens.size() = %d, seq_id = %d, pos_min = %d, n_swa = %d\n", n_past, (int) slot.prompt.tokens.size(), slot.id, pos_min, n_swa);
 
                                     // search for a context checkpoint
                                     const auto it = std::find_if(
                                         slot.prompt.checkpoints.rbegin(),
                                         slot.prompt.checkpoints.rend(),
-                                        [&](const auto & cur) {
+                                        [&, func_name = __func__](const auto & cur) {
                                             // guarantee that a checkpoint will result in at least one token being processed [TAG_PROMPT_LOGITS]
+                                            LOG_INF("slot %12.*s: id %2d | task %d | Checking checkpoint with [%d, %d] against %d...\n", 12,
+                                                func_name, (slot).id, ((slot).task ? (slot).task->id : -1), cur.pos_min, cur.pos_max, pos_min_thold);
                                             return cur.pos_min < pos_min_thold;
                                         }
                                     );
@@ -2357,18 +2382,20 @@ struct server_context_impl {
                                         const size_t n = llama_state_seq_set_data_ext(ctx, it->data.data(), checkpoint_size, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
 
                                         if (n != checkpoint_size) {
-                                            SLT_ERR(slot, "failed to restore context checkpoint (pos_min = %d, pos_max = %d, size = %.3f MiB)\n", it->pos_min, it->pos_max, (float) checkpoint_size / 1024 / 1024);
+                                            SLT_ERR(slot, "failed to restore context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, (float) checkpoint_size / 1024 / 1024);
                                             do_reset = true;
                                             //printf("[DEBUG] `do_reset` was set to `true` after failing to restore a checkpoint");
                                         } else {
-                                            n_past = std::min(n_past, std::max(it->pos_min + 1, it->pos_max));
-                                            SLT_WRN(slot, "restored context checkpoint (pos_min = %d, pos_max = %d, size = %.3f MiB)\n", it->pos_min, it->pos_max, (float) checkpoint_size / 1024 / 1024);
+                                            pos_next = std::min(pos_next, std::max(it->pos_min + 1, it->pos_max));
+                                            n_past = std::min(slot.prompt.tokens.size_up_to_pos(pos_next), (size_t) it->n_tokens);
+                                            SLT_WRN(slot, "restored context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_past = %d, size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, n_past, (float) checkpoint_size / 1024 / 1024);
                                         }
                                     }
 
                                     if (do_reset) {
                                         SLT_WRN(slot, "forcing full prompt re-processing due to lack of cache data (likely due to SWA or hybrid/recurrent memory, see %s)\n",
                                                 "https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055");
+                                        pos_next = 0;
                                         n_past = 0;
                                     }
                                 }
@@ -2379,7 +2406,7 @@ struct server_context_impl {
                                 for (auto it = slot.prompt.checkpoints.begin(); it != slot.prompt.checkpoints.end();) {
                                     const auto & cur = *it;
                                     if (cur.pos_min > pos_min_thold) {
-                                        SLT_WRN(slot, "erased invalidated context checkpoint (pos_min = %d, pos_max = %d, n_swa = %d, size = %.3f MiB)\n", cur.pos_min, cur.pos_max, n_swa, (float) cur.data.size() / 1024 / 1024);
+                                        SLT_WRN(slot, "erased invalidated context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_swa = %d, size = %.3f MiB)\n", cur.pos_min, cur.pos_max, cur.n_tokens, n_swa, (float) cur.data.size() / 1024 / 1024);
                                         it = slot.prompt.checkpoints.erase(it);
                                     } else {
                                         ++it;
@@ -2395,7 +2422,7 @@ struct server_context_impl {
                             SLT_WRN(slot, "n_past was set to %d\n", n_past);
                         }
 
-                        slot.n_prompt_tokens_cache     = n_past;
+                        slot.n_prompt_tokens_cache = n_past;
                         slot.n_prompt_tokens_processed = 0;
 
                         slot.prompt.tokens.keep_first(n_past);
@@ -2428,6 +2455,8 @@ struct server_context_impl {
                         slot.n_prompt_tokens_cache = 0;
                     }
 
+                    bool do_checkpoint = params_base.n_ctx_checkpoints > 0;
+
                     // check if we should process the image
                     if (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) {
                         // process the image
@@ -2447,6 +2476,8 @@ struct server_context_impl {
                             const auto & chunk = input_tokens.find_chunk(slot.prompt.n_tokens());
                             slot.prompt.tokens.push_back(chunk.get()); // copy
                         }
+
+                        do_checkpoint = false; // do not checkpoint right after an image chunk
                     }
 
                     // If using an alora, there may be uncached tokens that come
@@ -2463,8 +2494,6 @@ struct server_context_impl {
                         alora_disabled_id = enabled_loras[0];
                     }
 
-                    bool do_checkpoint = params_base.n_ctx_checkpoints > 0;
-
                     // make checkpoints only for completion tasks
                     do_checkpoint = do_checkpoint && slot.task->type == SERVER_TASK_TYPE_COMPLETION;
 
@@ -2507,15 +2536,29 @@ struct server_context_impl {
                         slot.n_prompt_tokens_processed++;
 
                         // process the last few tokens of the prompt separately in order to allow for a checkpoint to be created.
-                        const int n_last = std::min(n_batch, 512);
-                        if (do_checkpoint && slot.task->n_tokens() == slot.prompt.n_tokens() + n_last) {
-                            break;
+                        // create checkpoints that many tokens before the end of the prompt:
+                        //  - 4 + n_ubatch
+                        //  - 4
+                        // ref: https://github.com/ggml-org/llama.cpp/pull/20288
+                        {
+                            static const int checkpoint_offsets[] = {4 + n_ubatch, 4};
+
+                            bool should_break = false;
+                            for (int offset : checkpoint_offsets) {
+                                const int n_last = std::min(n_batch, offset);
+                                if (do_checkpoint && slot.task->n_tokens() == slot.prompt.n_tokens() + n_last) {
+                                    should_break = true;
+                                    break;
+                                }
+                            }
+                            if (should_break) {
+                                break;
+                            }
                         }
                     }
 
-                    // SLT_INF(slot, "new slot.prompt.tokens: %s\n", slot.slot.prompt.tokens.str().c_str());
-
-                    SLT_INF(slot, "prompt processing progress, n_tokens = %d, batch.n_tokens = %d, progress = %f\n", slot.prompt.n_tokens(), batch.n_tokens, (float) slot.prompt.n_tokens() / slot.task->n_tokens());
+                    // the number of tokens added to the batch for the current slot
+                    const auto n_tokens_cur = batch.n_tokens - n_tokens_prev;
 
                     // entire prompt has been processed
                     if (slot.prompt.n_tokens() == slot.task->n_tokens()) {
@@ -2529,43 +2572,75 @@ struct server_context_impl {
                         slot.n_decoded = 0;
                         slot.i_batch   = batch.n_tokens - 1;
 
-                        SLT_INF(slot, "prompt done, n_tokens = %d, batch.n_tokens = %d\n", slot.prompt.n_tokens(), batch.n_tokens);
-
                         slot.init_sampler();
+                        SLT_INF(slot, "prompt processing done, n_tokens = %d, batch.n_tokens = %d\n", slot.prompt.n_tokens(), batch.n_tokens);
+                    } else {
+                        if (slot.task->n_tokens() < slot.prompt.n_tokens() + n_ubatch) {
+                            // near the end of the prompt
+                            do_checkpoint = do_checkpoint && true;
+                        } else {
+                            // only do non-end checkpoints if the "checkpoint every n tokens" option is set
+                            do_checkpoint = do_checkpoint && params_base.checkpoint_every_nt > 0;
 
-                        const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), slot.id);
-                        const auto pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), slot.id);
+                            if (do_checkpoint) {
+                                llama_pos last_checkpoint = 0;
+                                if (!slot.prompt.checkpoints.empty()) {
+                                    last_checkpoint = slot.prompt.checkpoints.back().n_tokens;
+                                }
 
-                        // no need for empty or small checkpoints
-                        do_checkpoint = do_checkpoint && (pos_min >= 0 && pos_max >= 64);
+                                do_checkpoint = do_checkpoint && slot.prompt.n_tokens() - batch.n_tokens - last_checkpoint >= params_base.checkpoint_every_nt;
 
-                        // no need to create checkpoints that are too close together
-                        do_checkpoint = do_checkpoint && (slot.prompt.checkpoints.empty() || pos_max > slot.prompt.checkpoints.back().pos_max + 64);
+                                if (do_checkpoint) {
+                                    SLT_INF(slot, "%d tokens since last checkpoint at %d, creating new checkpoint during processing at position %d\n", params_base.checkpoint_every_nt, last_checkpoint, slot.prompt.n_tokens());
+                                }
+                            }
+                        }
 
-                        if (do_checkpoint) {
-                            while (slot.prompt.checkpoints.size() >= (size_t) params_base.n_ctx_checkpoints) {
-                                // make room for the new checkpoint, if needed
-                                const auto & cur = slot.prompt.checkpoints.front();
+                        SLT_INF(slot, "prompt processing progress, n_tokens = %d, batch.n_tokens = %d, progress = %f\n", slot.prompt.n_tokens(), batch.n_tokens, (float) slot.prompt.n_tokens() / slot.task->n_tokens());
+                    }
 
-                                SLT_WRN(slot, "erasing old context checkpoint (pos_min = %d, pos_max = %d, size = %.3f MiB)\n",
-                                        cur.pos_min, cur.pos_max, (float) cur.data.size() / 1024 / 1024);
+                    const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), slot.id);
+                    const auto pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), slot.id);
 
-                                slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin());
-                            }
+                    // no need for empty or small checkpoints
+                    do_checkpoint = do_checkpoint && (pos_min >= 0 && pos_max >= 64);
 
-                            const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+                    // no need to create checkpoints that are too close together
+                    do_checkpoint = do_checkpoint && (slot.prompt.checkpoints.empty() || pos_max > slot.prompt.checkpoints.back().pos_max + 64);
 
-                            auto & cur = slot.prompt.checkpoints.emplace_back(server_prompt_checkpoint{
-                                /*.pos_min = */ pos_min,
-                                /*.pos_max = */ pos_max,
-                                /*.data    = */ std::vector<uint8_t>(checkpoint_size),
-                            });
+                    // note: we create the checkpoint before calling llama_decode(), so the current batch is not
+                    //       yet processed and therefore it is not part of the checkpoint.
+                    if (do_checkpoint) {
+                        while (slot.prompt.checkpoints.size() >= (size_t) params_base.n_ctx_checkpoints) {
+                            // make room for the new checkpoint, if needed
+                            const auto & cur = slot.prompt.checkpoints.front();
 
-                            llama_state_seq_get_data_ext(ctx, cur.data.data(), checkpoint_size, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+                            SLT_WRN(slot,
+                                    "erasing old context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64
+                                    ", size = %.3f MiB)\n",
+                                    cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
 
-                            SLT_WRN(slot, "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, size = %.3f MiB)\n",
-                                    (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min, cur.pos_max, (float) cur.data.size() / 1024 / 1024);
+                            slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin());
                         }
+
+                        const size_t checkpoint_size =
+                            llama_state_seq_get_size_ext(ctx, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+
+                        auto & cur = slot.prompt.checkpoints.emplace_back(server_prompt_checkpoint{
+                            /*.pos_min  = */ pos_min,
+                            /*.pos_max  = */ pos_max,
+                            /*.n_tokens = */ slot.prompt.n_tokens() - n_tokens_cur,
+                            /*.data     = */ std::vector<uint8_t>(checkpoint_size),
+                        });
+
+                        llama_state_seq_get_data_ext(ctx, cur.data.data(), checkpoint_size, slot.id,
+                                                     LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+
+                        SLT_WRN(slot,
+                                "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64
+                                ", size = %.3f MiB)\n",
+                                (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min,
+                                cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
                     }
                 }
 
@@ -2597,6 +2672,12 @@ struct server_context_impl {
 
         if (batch.n_tokens == 0) {
             SRV_WRN("%s", "no tokens to decode\n");
+
+            if (++n_empty_consecutive > 3) {
+                GGML_ABORT("fatal error - please provide logs and repro in %s\n", "https://github.com/ggml-org/llama.cpp/pull/20277");
+            }
+        } else {
+            n_empty_consecutive = 0;
         }
 
         int32_t i_next = 0;
@@ -2888,6 +2969,8 @@ server_context_meta server_context::get_meta() const {
     return server_context_meta {
         /* build_info             */ build_info,
         /* model_name             */ impl->model_name,
+        /* model_aliases          */ impl->model_aliases,
+        /* model_tags             */ impl->model_tags,
         /* model_path             */ impl->params_base.model.path,
         /* has_mtmd               */ impl->mctx != nullptr,
         /* has_inp_image          */ impl->chat_params.allow_image,
@@ -2904,6 +2987,9 @@ server_context_meta server_context::get_meta() const {
         /* fim_pre_token          */ llama_vocab_fim_pre(impl->vocab),
         /* fim_sub_token          */ llama_vocab_fim_suf(impl->vocab),
         /* fim_mid_token          */ llama_vocab_fim_mid(impl->vocab),
+        /* fim_pad_token          */ llama_vocab_fim_pad(impl->vocab),
+        /* fim_rep_token          */ llama_vocab_fim_rep(impl->vocab),
+        /* fim_sep_token          */ llama_vocab_fim_sep(impl->vocab),
 
         /* model_vocab_type       */ llama_vocab_type(impl->vocab),
         /* model_vocab_n_tokens   */ llama_vocab_n_tokens(impl->vocab),
@@ -3681,6 +3767,8 @@ void server_routes::init_routes() {
             {"data", {
                 {
                     {"id",       meta->model_name},
+                    {"aliases",  meta->model_aliases},
+                    {"tags",     meta->model_tags},
                     {"object",   "model"},
                     {"created",  std::time(0)},
                     {"owned_by", "llamacpp"},
diff --git a/tools/server/server-context.h b/tools/server/server-context.h
index c0b5d373ff9..75f3d2de568 100644
--- a/tools/server/server-context.h
+++ b/tools/server/server-context.h
@@ -1,3 +1,5 @@
+#pragma once
+
 #include "server-http.h"
 #include "server-task.h"
 #include "server-queue.h"
@@ -6,12 +8,15 @@
 
 #include <cstddef>
 #include <memory>
+#include <set>
 
 struct server_context_impl; // private implementation
 
 struct server_context_meta {
     std::string build_info;
     std::string model_name;
+    std::set<std::string> model_aliases;
+    std::set<std::string> model_tags;
     std::string model_path;
     bool has_mtmd;
     bool has_inp_image;
@@ -30,6 +35,9 @@ struct server_context_meta {
     llama_token fim_pre_token;
     llama_token fim_sub_token;
     llama_token fim_mid_token;
+    llama_token fim_pad_token;
+    llama_token fim_rep_token;
+    llama_token fim_sep_token;
 
     // model meta
     enum llama_vocab_type model_vocab_type;
diff --git a/tools/server/server-cors-proxy.h b/tools/server/server-cors-proxy.h
new file mode 100644
index 00000000000..c412d4c2523
--- /dev/null
+++ b/tools/server/server-cors-proxy.h
@@ -0,0 +1,57 @@
+#pragma once
+
+#include "common.h"
+#include "http.h"
+
+#include <string>
+#include <unordered_set>
+#include <list>
+#include <map>
+
+#include "server-http.h"
+
+static server_http_res_ptr proxy_request(const server_http_req & req, std::string method) {
+    std::string target_url = req.get_param("url");
+    common_http_url parsed_url = common_http_parse_url(target_url);
+
+    if (parsed_url.host.empty()) {
+        throw std::runtime_error("invalid target URL: missing host");
+    }
+
+    if (parsed_url.path.empty()) {
+        parsed_url.path = "/";
+    }
+
+    if (!parsed_url.password.empty()) {
+        throw std::runtime_error("authentication in target URL is not supported");
+    }
+
+    if (parsed_url.scheme != "http" && parsed_url.scheme != "https") {
+        throw std::runtime_error("unsupported URL scheme in target URL: " + parsed_url.scheme);
+    }
+
+    SRV_INF("proxying %s request to %s://%s:%i%s\n", method.c_str(), parsed_url.scheme.c_str(), parsed_url.host.c_str(), parsed_url.port, parsed_url.path.c_str());
+
+    auto proxy = std::make_unique<server_http_proxy>(
+            method,
+            parsed_url.scheme,
+            parsed_url.host,
+            parsed_url.port,
+            parsed_url.path,
+            req.headers,
+            req.body,
+            req.should_stop,
+            600, // timeout_read (default to 10 minutes)
+            600  // timeout_write (default to 10 minutes)
+            );
+
+    return proxy;
+}
+
+static server_http_context::handler_t proxy_handler_post = [](const server_http_req & req) -> server_http_res_ptr {
+    return proxy_request(req, "POST");
+};
+
+static server_http_context::handler_t proxy_handler_get = [](const server_http_req & req) -> server_http_res_ptr {
+    return proxy_request(req, "GET");
+};
diff --git a/tools/server/server-http.cpp b/tools/server/server-http.cpp
index 00897eeea5b..129022a7119 100644
--- a/tools/server/server-http.cpp
+++ b/tools/server/server-http.cpp
@@ -339,6 +339,17 @@ static std::map<std::string, std::string> get_headers(const httplib::Request & r
     return headers;
 }
 
+static std::string build_query_string(const httplib::Request & req) {
+    std::string qs;
+    for (const auto & [key, value] : req.params) {
+        if (!qs.empty()) {
+            qs += '&';
+        }
+        qs += httplib::encode_query_component(key) + "=" + httplib::encode_query_component(value);
+    }
+    return qs;
+}
+
 // using unique_ptr for request to allow safe capturing in lambdas
 using server_http_req_ptr = std::unique_ptr<server_http_req>;
 
@@ -382,6 +393,7 @@ void server_http_context::get(const std::string & path, const server_http_contex
             get_params(req),
             get_headers(req),
             req.path,
+            build_query_string(req),
             req.body,
             req.is_connection_closed
         });
@@ -396,6 +408,7 @@ void server_http_context::post(const std::string & path, const server_http_conte
             get_params(req),
             get_headers(req),
             req.path,
+            build_query_string(req),
             req.body,
             req.is_connection_closed
         });
diff --git a/tools/server/server-http.h b/tools/server/server-http.h
index 24c0b401175..3621064cdf3 100644
--- a/tools/server/server-http.h
+++ b/tools/server/server-http.h
@@ -36,7 +36,8 @@ using server_http_res_ptr = std::unique_ptr<server_http_res>;
 struct server_http_req {
     std::map<std::string, std::string> params; // path_params + query_params
     std::map<std::string, std::string> headers; // reserved for future use
-    std::string path; // reserved for future use
+    std::string path;
+    std::string query_string; // query parameters string (e.g. "action=save")
     std::string body;
     const std::function<bool()> & should_stop;
 
diff --git a/tools/server/server-models.cpp b/tools/server/server-models.cpp
index 57655476afa..c13d48a3634 100644
--- a/tools/server/server-models.cpp
+++ b/tools/server/server-models.cpp
@@ -184,6 +184,51 @@ void server_models::add_model(server_model_meta && meta) {
     if (mapping.find(meta.name) != mapping.end()) {
         throw std::runtime_error(string_format("model '%s' appears multiple times", meta.name.c_str()));
     }
+
+    // check model name does not conflict with existing aliases
+    for (const auto & [key, inst] : mapping) {
+        if (inst.meta.aliases.count(meta.name)) {
+            throw std::runtime_error(string_format("model name '%s' conflicts with alias of model '%s'",
+                meta.name.c_str(), key.c_str()));
+        }
+    }
+
+    // parse aliases from preset's --alias option (comma-separated)
+    std::string alias_str;
+    if (meta.preset.get_option("LLAMA_ARG_ALIAS", alias_str) && !alias_str.empty()) {
+        for (auto & alias : string_split<std::string>(alias_str, ',')) {
+            alias = string_strip(alias);
+            if (!alias.empty()) {
+                meta.aliases.insert(alias);
+            }
+        }
+    }
+
+    // parse tags from preset's --tags option (comma-separated)
+    std::string tags_str;
+    if (meta.preset.get_option("LLAMA_ARG_TAGS", tags_str) && !tags_str.empty()) {
+        for (auto & tag : string_split<std::string>(tags_str, ',')) {
+            tag = string_strip(tag);
+            if (!tag.empty()) {
+                meta.tags.insert(tag);
+            }
+        }
+    }
+
+    // validate aliases do not conflict with existing names or aliases
+    for (const auto & alias : meta.aliases) {
+        if (mapping.find(alias) != mapping.end()) {
+            throw std::runtime_error(string_format("alias '%s' for model '%s' conflicts with existing model name",
+                alias.c_str(), meta.name.c_str()));
+        }
+        for (const auto & [key, inst] : mapping) {
+            if (inst.meta.aliases.count(alias)) {
+                throw std::runtime_error(string_format("alias '%s' for model '%s' conflicts with alias of model '%s'",
+                    alias.c_str(), meta.name.c_str(), key.c_str()));
+            }
+        }
+    }
+
     meta.update_args(ctx_preset, bin_path); // render args
     std::string name = meta.name;
     mapping[name] = instance_t{
@@ -249,6 +294,8 @@ void server_models::load_models() {
         server_model_meta meta{
             /* preset       */ preset.second,
             /* name         */ preset.first,
+            /* aliases      */ {},
+            /* tags         */ {},
             /* port         */ 0,
             /* status       */ SERVER_MODEL_STATUS_UNLOADED,
             /* last_used    */ 0,
@@ -265,10 +312,28 @@ void server_models::load_models() {
         for (const auto & [name, preset] : custom_presets) {
             custom_names.insert(name);
         }
+        auto join_set = [](const std::set<std::string> & s) {
+            std::string result;
+            for (const auto & v : s) {
+                if (!result.empty()) {
+                    result += ", ";
+                }
+                result += v;
+            }
+            return result;
+        };
+
         SRV_INF("Available models (%zu) (*: custom preset)\n", mapping.size());
         for (const auto & [name, inst] : mapping) {
             bool has_custom = custom_names.find(name) != custom_names.end();
-            SRV_INF("  %c %s\n", has_custom ? '*' : ' ', name.c_str());
+            std::string info;
+            if (!inst.meta.aliases.empty()) {
+                info += " (aliases: " + join_set(inst.meta.aliases) + ")";
+            }
+            if (!inst.meta.tags.empty()) {
+                info += " [tags: " + join_set(inst.meta.tags) + "]";
+            }
+            SRV_INF("  %c %s%s\n", has_custom ? '*' : ' ', name.c_str(), info.c_str());
         }
     }
 
@@ -291,7 +356,9 @@ void server_models::load_models() {
     for (const auto & [name, inst] : mapping) {
         std::string val;
         if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val)) {
-            models_to_load.push_back(name);
+            if (common_arg_utils::is_truthy(val)) {
+                models_to_load.push_back(name);
+            }
         }
     }
     if ((int)models_to_load.size() > base_params.models_max) {
@@ -318,7 +385,15 @@ void server_models::update_meta(const std::string & name, const server_model_met
 
 bool server_models::has_model(const std::string & name) {
     std::lock_guard<std::mutex> lk(mutex);
-    return mapping.find(name) != mapping.end();
+    if (mapping.find(name) != mapping.end()) {
+        return true;
+    }
+    for (const auto & [key, inst] : mapping) {
+        if (inst.meta.aliases.count(name)) {
+            return true;
+        }
+    }
+    return false;
 }
 
 std::optional<server_model_meta> server_models::get_meta(const std::string & name) {
@@ -327,6 +402,11 @@ std::optional<server_model_meta> server_models::get_meta(const std::string & nam
     if (it != mapping.end()) {
         return it->second.meta;
     }
+    for (const auto & [key, inst] : mapping) {
+        if (inst.meta.aliases.count(name)) {
+            return inst.meta;
+        }
+    }
     return std::nullopt;
 }
 
@@ -697,11 +777,16 @@ server_http_res_ptr server_models::proxy_request(const server_http_req & req, co
         mapping[name].meta.last_used = ggml_time_ms();
     }
     SRV_INF("proxying request to model %s on port %d\n", name.c_str(), meta->port);
+    std::string proxy_path = req.path;
+    if (!req.query_string.empty()) {
+        proxy_path += '?' + req.query_string;
+    }
     auto proxy = std::make_unique<server_http_proxy>(
             method,
+            "http",
             CHILD_ADDR,
             meta->port,
-            req.path,
+            proxy_path,
             req.headers,
             req.body,
             req.should_stop,
@@ -760,7 +845,7 @@ static void res_err(std::unique_ptr<server_http_res> & res, const json & error_d
     res->data = safe_json_to_str({{ "error", error_data }});
 }
 
-static bool router_validate_model(const std::string & name, server_models & models, bool models_autoload, std::unique_ptr<server_http_res> & res) {
+static bool router_validate_model(std::string & name, server_models & models, bool models_autoload, std::unique_ptr<server_http_res> & res) {
     if (name.empty()) {
         res_err(res, format_error_response("model name is missing from the request", ERROR_TYPE_INVALID_REQUEST));
         return false;
@@ -770,6 +855,8 @@ static bool router_validate_model(const std::string & name, server_models & mode
         res_err(res, format_error_response(string_format("model '%s' not found", name.c_str()), ERROR_TYPE_INVALID_REQUEST));
         return false;
     }
+    // resolve alias to canonical model name
+    name = meta->name;
     if (models_autoload) {
         models.ensure_model_loaded(name);
     } else {
@@ -841,16 +928,16 @@ void server_models_routes::init_routes() {
         auto res = std::make_unique<server_http_res>();
         json body = json::parse(req.body);
         std::string name = json_value(body, "model", std::string());
-        auto model = models.get_meta(name);
-        if (!model.has_value()) {
+        auto meta = models.get_meta(name);
+        if (!meta.has_value()) {
             res_err(res, format_error_response("model is not found", ERROR_TYPE_NOT_FOUND));
             return res;
         }
-        if (model->status == SERVER_MODEL_STATUS_LOADED) {
+        if (meta->status == SERVER_MODEL_STATUS_LOADED) {
             res_err(res, format_error_response("model is already loaded", ERROR_TYPE_INVALID_REQUEST));
             return res;
         }
-        models.load(name);
+        models.load(meta->name);
         res_ok(res, {{"success", true}});
         return res;
     };
@@ -871,6 +958,7 @@ void server_models_routes::init_routes() {
                 preset_copy.unset_option("LLAMA_ARG_HOST");
                 preset_copy.unset_option("LLAMA_ARG_PORT");
                 preset_copy.unset_option("LLAMA_ARG_ALIAS");
+                preset_copy.unset_option("LLAMA_ARG_TAGS");
                 status["preset"] = preset_copy.to_ini();
             }
             if (meta.is_failed()) {
@@ -879,6 +967,8 @@ void server_models_routes::init_routes() {
             }
             models_json.push_back(json {
                 {"id",       meta.name},
+                {"aliases",  meta.aliases},
+                {"tags",     meta.tags},
                 {"object",   "model"},    // for OAI-compat
                 {"owned_by", "llamacpp"}, // for OAI-compat
                 {"created",  t},          // for OAI-compat
@@ -906,7 +996,7 @@ void server_models_routes::init_routes() {
             res_err(res, format_error_response("model is not loaded", ERROR_TYPE_INVALID_REQUEST));
             return res;
         }
-        models.unload(name);
+        models.unload(model->name);
         res_ok(res, {{"success", true}});
         return res;
     };
@@ -990,6 +1080,7 @@ static bool should_strip_proxy_header(const std::string & header_name) {
 
 server_http_proxy::server_http_proxy(
         const std::string & method,
+        const std::string & scheme,
         const std::string & host,
         int port,
         const std::string & path,
@@ -1000,11 +1091,20 @@ server_http_proxy::server_http_proxy(
         int32_t timeout_write
         ) {
     // shared between reader and writer threads
-    auto cli  = std::make_shared<httplib::Client>(host, port);
+    auto cli  = std::make_shared<httplib::ClientImpl>(host, port);
     auto pipe = std::make_shared<pipe_t<msg_t>>();
 
+    if (scheme == "https") {
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+        cli.reset(new httplib::SSLClient(host, port));
+#else
+        throw std::runtime_error("HTTPS requested but CPPHTTPLIB_OPENSSL_SUPPORT is not defined");
+#endif
+    }
+
     // setup Client
-    cli->set_connection_timeout(0, 200000); // 200 milliseconds
+    cli->set_follow_location(true);
+    cli->set_connection_timeout(5, 0); // 5 seconds
     cli->set_write_timeout(timeout_read, 0); // reversed for cli (client) vs srv (server)
     cli->set_read_timeout(timeout_write, 0);
     this->status = 500; // to be overwritten upon response
@@ -1053,7 +1153,15 @@ server_http_proxy::server_http_proxy(
         req.method = method;
         req.path = path;
         for (const auto & [key, value] : headers) {
-            req.set_header(key, value);
+            if (key == "Accept-Encoding") {
+                // disable Accept-Encoding to avoid compressed responses
+                continue;
+            }
+            if (key == "Host" || key == "host") {
+                req.set_header(key, host);
+            } else {
+                req.set_header(key, value);
+            }
         }
         req.body = body;
         req.response_handler = response_handler;
diff --git a/tools/server/server-models.h b/tools/server/server-models.h
index a397abda4a8..2b392f299a0 100644
--- a/tools/server/server-models.h
+++ b/tools/server/server-models.h
@@ -52,6 +52,8 @@ static std::string server_model_status_to_string(server_model_status status) {
 struct server_model_meta {
     common_preset preset;
     std::string name;
+    std::set<std::string> aliases; // additional names that resolve to this model
+    std::set<std::string> tags;    // informational tags, not used for routing
     int port = 0;
     server_model_status status = SERVER_MODEL_STATUS_UNLOADED;
     int64_t last_used = 0; // for LRU unloading
@@ -178,6 +180,7 @@ struct server_http_proxy : server_http_res {
     std::function<void()> cleanup = nullptr;
 public:
     server_http_proxy(const std::string & method,
+                      const std::string & scheme,
                       const std::string & host,
                       int port,
                       const std::string & path,
diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp
index a137427c69c..b3d510977b2 100644
--- a/tools/server/server-task.cpp
+++ b/tools/server/server-task.cpp
@@ -1,12 +1,12 @@
-#include "server-common.h"
 #include "server-task.h"
 
+#include "chat.h"
 #include "common.h"
+#include "json-schema-to-grammar.h"
 #include "llama.h"
-#include "chat.h"
 #include "sampling.h"
 #include "speculative.h"
-#include "json-schema-to-grammar.h"
+#include "server-common.h"
 
 using json = nlohmann::ordered_json;
 
@@ -157,7 +157,8 @@ json task_params::to_json(bool only_metrics) const {
 common_chat_msg task_result_state::update_chat_msg(
         const std::string & text_added,
         bool is_partial,
-        std::vector<common_chat_msg_diff> & diffs) {
+        std::vector<common_chat_msg_diff> & diffs,
+        bool filter_tool_calls) {
     generated_text += text_added;
     auto msg_prv_copy = chat_msg;
     SRV_DBG("Parsing chat message: %s\n", generated_text.c_str());
@@ -168,7 +169,64 @@ common_chat_msg task_result_state::update_chat_msg(
     if (!new_msg.empty()) {
         new_msg.set_tool_call_ids(generated_tool_call_ids, gen_tool_call_id);
         chat_msg = new_msg;
-        diffs = common_chat_msg_diff::compute_diffs(msg_prv_copy, new_msg.empty() ? msg_prv_copy : new_msg);
+        auto all_diffs = common_chat_msg_diff::compute_diffs(msg_prv_copy, chat_msg);
+
+        if (!filter_tool_calls) {
+            diffs = std::move(all_diffs);
+        } else {
+            for (auto & d : all_diffs) {
+                // If this is a new type of delta, flush all currently pending tool call names
+                for (size_t i = 0; i < chat_msg.tool_calls.size(); ++i) {
+                    if (sent_tool_call_names.count(i) || chat_msg.tool_calls[i].name.empty()) {
+                        continue;
+                    }
+                    if (d.tool_call_index != i || !d.tool_call_delta.arguments.empty()) {
+                        common_chat_msg_diff header;
+                        header.tool_call_index      = i;
+                        header.tool_call_delta.id   = chat_msg.tool_calls[i].id;
+                        header.tool_call_delta.name = chat_msg.tool_calls[i].name;
+                        diffs.push_back(std::move(header));
+                        sent_tool_call_names.insert(i);
+                    }
+                }
+
+                if (d.tool_call_index == std::string::npos) {
+                    diffs.push_back(std::move(d));
+                } else {
+                    size_t i = d.tool_call_index;
+                    if (sent_tool_call_names.count(i)) {
+                        if (!d.tool_call_delta.arguments.empty()) {
+                            d.tool_call_delta.name = "";
+                            d.tool_call_delta.id   = "";
+                            diffs.push_back(std::move(d));
+                        }
+                    } else {
+                        // Not sent yet.
+                        if (!d.tool_call_delta.arguments.empty() || !is_partial) {
+                            d.tool_call_delta.name = chat_msg.tool_calls[i].name;
+                            d.tool_call_delta.id   = chat_msg.tool_calls[i].id;
+                            diffs.push_back(std::move(d));
+                            sent_tool_call_names.insert(i);
+                        } else {
+                            // Suppress
+                        }
+                    }
+                }
+            }
+            // Final check at EOF
+            if (!is_partial) {
+                for (size_t i = 0; i < chat_msg.tool_calls.size(); ++i) {
+                    if (!sent_tool_call_names.count(i) && !chat_msg.tool_calls[i].name.empty()) {
+                        common_chat_msg_diff header;
+                        header.tool_call_index      = i;
+                        header.tool_call_delta.id   = chat_msg.tool_calls[i].id;
+                        header.tool_call_delta.name = chat_msg.tool_calls[i].name;
+                        diffs.push_back(std::move(header));
+                        sent_tool_call_names.insert(i);
+                    }
+                }
+            }
+        }
     }
     return chat_msg;
 }
@@ -204,7 +262,8 @@ task_params server_task::params_from_json_cmpl(
     params.cache_prompt     = json_value(data,       "cache_prompt",       defaults.cache_prompt);
     params.return_tokens    = json_value(data,       "return_tokens",      false);
     params.return_progress  = json_value(data,       "return_progress",    false);
-    params.n_predict        = json_value(data,       "n_predict",          json_value(data, "max_tokens", defaults.n_predict));
+    auto max_tokens         = json_value(data,       "max_tokens",         defaults.n_predict);
+    params.n_predict        = json_value(data,       "n_predict",          json_value(data, "max_completion_tokens", max_tokens));
     params.n_indent         = json_value(data,       "n_indent",           defaults.n_indent);
     params.n_keep           = json_value(data,       "n_keep",             defaults.n_keep);
     params.n_discard        = json_value(data,       "n_discard",          defaults.n_discard);
@@ -403,6 +462,34 @@ task_params server_task::params_from_json_cmpl(
         }
     }
 
+    // Parse reasoning budget sampler parameters
+    {
+        const int32_t budget = json_value(data, "reasoning_budget_tokens", (int32_t) -1);
+        if (budget >= 0) {
+            const auto start_tag = json_value(data, "reasoning_budget_start_tag", std::string());
+            const auto end_tag   = json_value(data, "reasoning_budget_end_tag", std::string());
+            const auto message   = json_value(data, "reasoning_budget_message", std::string());
+            const bool activate_imm   = json_value(data, "reasoning_budget_activate_immediately", false);
+
+            params.sampling.reasoning_budget_tokens = budget;
+            params.sampling.reasoning_budget_activate_immediately = activate_imm;
+
+            if (!start_tag.empty()) {
+                params.sampling.reasoning_budget_start = common_tokenize(vocab, start_tag, false, true);
+            }
+            if (!end_tag.empty()) {
+                params.sampling.reasoning_budget_end = common_tokenize(vocab, end_tag, false, true);
+                params.sampling.reasoning_budget_forced = common_tokenize(vocab, message + end_tag, false, true);
+            }
+
+            SRV_DBG("reasoning budget: tokens=%d, activate_immediately=%s, start=%zu toks, end=%zu toks, forced=%zu toks\n",
+                budget, activate_imm ? "true" : "false",
+                params.sampling.reasoning_budget_start.size(),
+                params.sampling.reasoning_budget_end.size(),
+                params.sampling.reasoning_budget_forced.size());
+        }
+    }
+
     {
         params.sampling.logit_bias.clear();
 
@@ -768,7 +855,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
             {"choices", json::array({
                 json {
                     {"finish_reason", nullptr},
-                    {"index", 0},
+                    {"index", index},
                     {"delta", common_chat_msg_diff_to_json_oaicompat(diff)},
                 },
             })},
@@ -784,7 +871,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
         {"choices", json::array({
             json {
                 {"finish_reason", finish_reason},
-                {"index", 0},
+                {"index", index},
                 {"delta", json::object()},
             },
         })},
@@ -1899,10 +1986,9 @@ server_prompt * server_prompt_cache::alloc(const server_prompt & prompt, size_t
         return nullptr;
     }
 
-    // TODO: for some reason we can't copy server_tokens, so we have to do this workaround
     auto & cur = states.emplace_back();
     cur = {
-        /*.tokens      =*/ server_tokens(prompt.tokens.get_text_tokens(), false),
+        /*.tokens      =*/ prompt.tokens.clone(),
         /*.data        =*/ std::move(state_data),
         /*.checkpoints =*/ prompt.checkpoints,
     };
diff --git a/tools/server/server-task.h b/tools/server/server-task.h
index a69e8f1a3d2..1e342531d8e 100644
--- a/tools/server/server-task.h
+++ b/tools/server/server-task.h
@@ -98,6 +98,7 @@ struct task_result_state {
     common_chat_msg chat_msg;
     std::string generated_text; // append new chunks of generated text here
     std::vector<std::string> generated_tool_call_ids;
+    std::unordered_set<size_t> sent_tool_call_names;
 
     // for OpenAI Responses and Anthropic streaming API:
     // track output item / content block state across chunks
@@ -120,7 +121,8 @@ struct task_result_state {
     common_chat_msg update_chat_msg(
         const std::string & text_added,
         bool is_partial,
-        std::vector<common_chat_msg_diff> & diffs);
+        std::vector<common_chat_msg_diff> & diffs,
+        bool filter_tool_calls = false);
 };
 
 struct server_task {
@@ -557,6 +559,8 @@ struct server_prompt_checkpoint {
     llama_pos pos_min;
     llama_pos pos_max;
 
+    int64_t n_tokens;
+
     std::vector<uint8_t> data;
 
     size_t size() const {
diff --git a/tools/server/server.cpp b/tools/server/server.cpp
index d3d4316026a..0bd6fda17d2 100644
--- a/tools/server/server.cpp
+++ b/tools/server/server.cpp
@@ -1,6 +1,7 @@
 #include "server-context.h"
 #include "server-http.h"
 #include "server-models.h"
+#include "server-cors-proxy.h"
 
 #include "arg.h"
 #include "common.h"
@@ -8,6 +9,7 @@
 #include "log.h"
 
 #include <atomic>
+#include <clocale>
 #include <exception>
 #include <signal.h>
 #include <thread> // for std::thread::hardware_concurrency
@@ -67,6 +69,8 @@ static server_http_context::handler_t ex_wrapper(server_http_context::handler_t
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     // own arguments required by this example
     common_params params;
 
@@ -92,7 +96,7 @@ int main(int argc, char ** argv) {
 
     // for consistency between server router mode and single-model mode, we set the same model name as alias
     if (params.model_alias.empty() && !params.model.name.empty()) {
-        params.model_alias = params.model.name;
+        params.model_alias.insert(params.model.name);
     }
 
     common_init();
@@ -178,6 +182,7 @@ int main(int argc, char ** argv) {
     ctx_http.post("/v1/chat/completions", ex_wrapper(routes.post_chat_completions));
     ctx_http.post("/api/chat",            ex_wrapper(routes.post_chat_completions)); // ollama specific endpoint
     ctx_http.post("/v1/responses",        ex_wrapper(routes.post_responses_oai));
+    ctx_http.post("/responses",           ex_wrapper(routes.post_responses_oai));
     ctx_http.post("/v1/messages",         ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API
     ctx_http.post("/v1/messages/count_tokens", ex_wrapper(routes.post_anthropic_count_tokens)); // anthropic token counting
     ctx_http.post("/infill",              ex_wrapper(routes.post_infill));
@@ -197,6 +202,15 @@ int main(int argc, char ** argv) {
     // Save & load slots
     ctx_http.get ("/slots",               ex_wrapper(routes.get_slots));
     ctx_http.post("/slots/:id_slot",      ex_wrapper(routes.post_slots));
+    // CORS proxy (EXPERIMENTAL, only used by the Web UI for MCP)
+    if (params.webui_mcp_proxy) {
+        SRV_WRN("%s", "-----------------\n");
+        SRV_WRN("%s", "CORS proxy is enabled, do not expose server to untrusted environments\n");
+        SRV_WRN("%s", "This feature is EXPERIMENTAL and may be removed or changed in future versions\n");
+        SRV_WRN("%s", "-----------------\n");
+        ctx_http.get ("/cors-proxy",      ex_wrapper(proxy_handler_get));
+        ctx_http.post("/cors-proxy",      ex_wrapper(proxy_handler_post));
+    }
 
     //
     // Start the server
diff --git a/tools/server/tests/README.md b/tools/server/tests/README.md
index a60d3f8ea1a..f566b43644b 100644
--- a/tools/server/tests/README.md
+++ b/tools/server/tests/README.md
@@ -57,7 +57,7 @@ To run a single test:
 ./tests.sh unit/test_chat_completion.py::test_invalid_chat_completion_req
 ```
 
-Hint: You can compile and run test in single command, useful for local developement:
+Hint: You can compile and run test in single command, useful for local development:
 
 ```shell
 cmake --build build -j --target llama-server && ./tools/server/tests/tests.sh
diff --git a/tools/server/tests/unit/test_basic.py b/tools/server/tests/unit/test_basic.py
index 3405be3e25d..d1b89cf1a91 100644
--- a/tools/server/tests/unit/test_basic.py
+++ b/tools/server/tests/unit/test_basic.py
@@ -94,3 +94,20 @@ def test_no_webui():
     server.start()
     res = requests.get(url)
     assert res.status_code == 404
+
+
+def test_server_model_aliases_and_tags():
+    global server
+    server.model_alias = "tinyllama-2,fim,code"
+    server.model_tags = "chat,fim,small"
+    server.start()
+    res = server.make_request("GET", "/models")
+    assert res.status_code == 200
+    assert len(res.body["data"]) == 1
+    model = res.body["data"][0]
+    # aliases field must contain all aliases
+    assert set(model["aliases"]) == {"tinyllama-2", "fim", "code"}
+    # tags field must contain all tags
+    assert set(model["tags"]) == {"chat", "fim", "small"}
+    # id is derived from first alias (alphabetical order from std::set)
+    assert model["id"] == "code"
diff --git a/tools/server/tests/unit/test_compat_anthropic.py b/tools/server/tests/unit/test_compat_anthropic.py
index e16e0235c64..93ff03be6b4 100644
--- a/tools/server/tests/unit/test_compat_anthropic.py
+++ b/tools/server/tests/unit/test_compat_anthropic.py
@@ -809,6 +809,139 @@ def test_anthropic_vs_openai_different_response_format():
 
 # Extended thinking tests with reasoning models
 
+# The next two tests cover the input path (conversation history):
+# Client sends thinking blocks -> convert_anthropic_to_oai -> reasoning_content -> template
+
+def test_anthropic_thinking_history_in_count_tokens():
+    """Test that interleaved thinking blocks in conversation history are not dropped during conversion."""
+    global server
+    server.jinja = True
+    server.chat_template_file = '../../../models/templates/Qwen-Qwen3-0.6B.jinja'
+    server.start()
+
+    tool = {
+        "name": "list_files",
+        "description": "List files",
+        "input_schema": {
+            "type": "object",
+            "properties": {"path": {"type": "string"}},
+            "required": ["path"]
+        }
+    }
+
+    messages_without_thinking = [
+        {"role": "user", "content": "Fix the bug"},
+        {
+            "role": "assistant",
+            "content": [
+                {"type": "tool_use", "id": "call_1", "name": "list_files", "input": {"path": "."}}
+            ]
+        },
+        {
+            "role": "user",
+            "content": [
+                {"type": "tool_result", "tool_use_id": "call_1", "content": "main.py"}
+            ]
+        },
+    ]
+
+    messages_with_thinking = [
+        {"role": "user", "content": "Fix the bug"},
+        {
+            "role": "assistant",
+            "content": [
+                {"type": "thinking", "thinking": "I should check the project structure first to understand the codebase layout."},
+                {"type": "tool_use", "id": "call_1", "name": "list_files", "input": {"path": "."}}
+            ]
+        },
+        {
+            "role": "user",
+            "content": [
+                {"type": "tool_result", "tool_use_id": "call_1", "content": "main.py"}
+            ]
+        },
+    ]
+
+    res_without = server.make_request("POST", "/v1/messages/count_tokens", data={
+        "model": "test",
+        "messages": messages_without_thinking,
+        "tools": [tool],
+    })
+    assert res_without.status_code == 200, f"Expected 200: {res_without.body}"
+
+    res_with = server.make_request("POST", "/v1/messages/count_tokens", data={
+        "model": "test",
+        "messages": messages_with_thinking,
+        "tools": [tool],
+    })
+    assert res_with.status_code == 200, f"Expected 200: {res_with.body}"
+
+    # Thinking blocks should increase the token count
+    assert res_with.body["input_tokens"] > res_without.body["input_tokens"], \
+        f"Expected more tokens with thinking ({res_with.body['input_tokens']}) than without ({res_without.body['input_tokens']})"
+
+
+def test_anthropic_thinking_history_in_template():
+    """Test that reasoning_content from converted interleaved thinking blocks renders in the prompt."""
+    global server
+    server.jinja = True
+    server.chat_template_file = '../../../models/templates/Qwen-Qwen3-0.6B.jinja'
+    server.start()
+
+    reasoning_1 = "I should check the project structure first."
+    reasoning_2 = "Now I need to read the main file."
+
+    res = server.make_request("POST", "/apply-template", data={
+        "messages": [
+            {"role": "user", "content": "Fix the bug in main.py"},
+            {
+                "role": "assistant",
+                "content": "",
+                "reasoning_content": reasoning_1,
+                "tool_calls": [{
+                    "id": "call_1",
+                    "type": "function",
+                    "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"}
+                }]
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "main.py\nutils.py"},
+            {
+                "role": "assistant",
+                "content": "",
+                "reasoning_content": reasoning_2,
+                "tool_calls": [{
+                    "id": "call_2",
+                    "type": "function",
+                    "function": {"name": "read_file", "arguments": "{\"path\": \"main.py\"}"}
+                }]
+            },
+            {"role": "tool", "tool_call_id": "call_2", "content": "print('hello')"},
+        ],
+        "tools": [{
+            "type": "function",
+            "function": {
+                "name": "list_files",
+                "description": "List files",
+                "parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]}
+            }
+        }, {
+            "type": "function",
+            "function": {
+                "name": "read_file",
+                "description": "Read a file",
+                "parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]}
+            }
+        }],
+    })
+    assert res.status_code == 200, f"Expected 200, got {res.status_code}: {res.body}"
+    prompt = res.body["prompt"]
+
+    # Both reasoning_content values should be rendered in <think> tags
+    assert reasoning_1 in prompt, f"Expected first reasoning text in prompt: {prompt}"
+    assert reasoning_2 in prompt, f"Expected second reasoning text in prompt: {prompt}"
+    assert prompt.count("<think>") >= 2, f"Expected at least 2 <think> blocks in prompt: {prompt}"
+
+
 @pytest.mark.slow
 @pytest.mark.parametrize("stream", [False, True])
 def test_anthropic_thinking_with_reasoning_model(stream):
diff --git a/tools/server/tests/unit/test_embedding.py b/tools/server/tests/unit/test_embedding.py
index 50601b83965..17ba09554bb 100644
--- a/tools/server/tests/unit/test_embedding.py
+++ b/tools/server/tests/unit/test_embedding.py
@@ -101,6 +101,40 @@ def test_embedding_mixed_input(input, is_multi_prompt: bool):
         assert len(data[0]['embedding']) > 1
 
 
+def test_embedding_pooling_mean():
+    global server
+    server.pooling = 'mean'
+    server.start()
+    res = server.make_request("POST", "/v1/embeddings", data={
+        "input": "I believe the meaning of life is",
+    })
+    assert res.status_code == 200
+    assert len(res.body['data']) == 1
+    assert 'embedding' in res.body['data'][0]
+    assert len(res.body['data'][0]['embedding']) > 1
+
+    # make sure embedding vector is normalized
+    assert abs(sum([x ** 2 for x in res.body['data'][0]['embedding']]) - 1) < EPSILON
+
+
+def test_embedding_pooling_mean_multiple():
+    global server
+    server.pooling = 'mean'
+    server.start()
+    res = server.make_request("POST", "/v1/embeddings", data={
+        "input": [
+            "I believe the meaning of life is",
+            "Write a joke about AI",
+            "This is a test",
+        ],
+    })
+    assert res.status_code == 200
+    assert len(res.body['data']) == 3
+    for d in res.body['data']:
+        assert 'embedding' in d
+        assert len(d['embedding']) > 1
+
+
 def test_embedding_pooling_none():
     global server
     server.pooling = 'none'
diff --git a/tools/server/tests/unit/test_proxy.py b/tools/server/tests/unit/test_proxy.py
new file mode 100644
index 00000000000..b7c3326187b
--- /dev/null
+++ b/tools/server/tests/unit/test_proxy.py
@@ -0,0 +1,41 @@
+import pytest
+from utils import *
+
+server = ServerPreset.tinyllama2()
+
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+
+
+def test_mcp_no_proxy():
+    global server
+    server.webui_mcp_proxy = False
+    server.start()
+
+    res = server.make_request("GET", "/cors-proxy")
+    assert res.status_code == 404
+
+
+def test_mcp_proxy():
+    global server
+    server.webui_mcp_proxy = True
+    server.start()
+
+    url = f"http://{server.server_host}:{server.server_port}/cors-proxy?url=http://example.com"
+    res = requests.get(url)
+    assert res.status_code == 200
+    assert "Example Domain" in res.text
+
+
+def test_mcp_proxy_custom_port():
+    global server
+    server.webui_mcp_proxy = True
+    server.start()
+
+    # try getting the server's models API via the proxy
+    res = server.make_request("GET", f"/cors-proxy?url=http://{server.server_host}:{server.server_port}/models")
+    assert res.status_code == 200
+    assert "data" in res.body
diff --git a/tools/server/tests/unit/test_template.py b/tools/server/tests/unit/test_template.py
index e5185fcbfab..43a356020dd 100644
--- a/tools/server/tests/unit/test_template.py
+++ b/tools/server/tests/unit/test_template.py
@@ -11,6 +11,7 @@
 
 import datetime
 from utils import *
+from typing import Literal
 
 server: ServerProcess
 
@@ -23,24 +24,24 @@ def create_server():
 
 
 @pytest.mark.parametrize("tools", [None, [], [TEST_TOOL]])
-@pytest.mark.parametrize("template_name,reasoning_budget,expected_end", [
-    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B", None, "<think>\n"),
-    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",   -1, "<think>\n"),
-    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",    0, "<think>\n</think>"),
+@pytest.mark.parametrize("template_name,reasoning,expected_end", [
+    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",  "on", "<think>\n"),
+    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B","auto", "<think>\n"),
+    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B", "off", "<think>\n</think>"),
 
-    ("Qwen-Qwen3-0.6B", -1, "<|im_start|>assistant\n"),
-    ("Qwen-Qwen3-0.6B",  0, "<|im_start|>assistant\n<think>\n\n</think>\n\n"),
+    ("Qwen-Qwen3-0.6B","auto", "<|im_start|>assistant\n"),
+    ("Qwen-Qwen3-0.6B", "off", "<|im_start|>assistant\n<think>\n\n</think>\n\n"),
 
-    ("Qwen-QwQ-32B", -1, "<|im_start|>assistant\n<think>\n"),
-    ("Qwen-QwQ-32B",  0, "<|im_start|>assistant\n<think>\n</think>"),
+    ("Qwen-QwQ-32B","auto", "<|im_start|>assistant\n<think>\n"),
+    ("Qwen-QwQ-32B", "off", "<|im_start|>assistant\n<think>\n</think>"),
 
-    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use", -1, "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"),
-    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use",  0, "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><|START_THINKING|><|END_THINKING|>"),
+    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use","auto", "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"),
+    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use", "off", "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><|START_THINKING|><|END_THINKING|>"),
 ])
-def test_reasoning_budget(template_name: str, reasoning_budget: int | None, expected_end: str, tools: list[dict]):
+def test_reasoning(template_name: str, reasoning: Literal['on', 'off', 'auto'] | None, expected_end: str, tools: list[dict]):
     global server
     server.jinja = True
-    server.reasoning_budget = reasoning_budget
+    server.reasoning = reasoning
     server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
     server.start()
 
diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py
index b8f0f10863f..ba41cd44ea9 100755
--- a/tools/server/tests/unit/test_tool_call.py
+++ b/tools/server/tests/unit/test_tool_call.py
@@ -100,18 +100,19 @@ def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict
     assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
     # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
     expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
-    assert expected_function_name == tool_call["function"]["name"]
+    assert expected_function_name == tool_call["function"]["name"], f'Expected tool name to be {tool_call["function"]["name"]} in {choice["message"]}'
     actual_arguments = tool_call["function"]["arguments"]
-    assert isinstance(actual_arguments, str)
+    assert isinstance(actual_arguments, dict) or isinstance(actual_arguments, str), f'Expected arguments to be a dict or str, got: {actual_arguments}'
     if argument_key is not None:
-        actual_arguments = json.loads(actual_arguments)
-        assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
+        if (isinstance(actual_arguments, str)):
+            actual_arguments = json.loads(actual_arguments)
+        assert argument_key in actual_arguments, f"tool arguments: {actual_arguments}, expected: {argument_key}"
 
 
 @pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
 @pytest.mark.parametrize("template_name,tool,argument_key", [
-    ("google-gemma-2-2b-it",                          TEST_TOOL,            "success"),
-    ("google-gemma-2-2b-it",                          TEST_TOOL,            "success"),
+    ("Qwen3-Coder",                                   TEST_TOOL,            "success"),
+    ("Qwen3-Coder",                                   TEST_TOOL,            "success"),
     ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
     ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
     ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
diff --git a/tools/server/tests/utils.py b/tools/server/tests/utils.py
index f76bb1a9115..c6fe11261f9 100644
--- a/tools/server/tests/utils.py
+++ b/tools/server/tests/utils.py
@@ -56,6 +56,7 @@ class ServerProcess:
 
     # custom options
     model_alias: str | None = None
+    model_tags: str | None = None
     model_url: str | None = None
     model_file: str | None = None
     model_draft: str | None = None
@@ -94,13 +95,14 @@ class ServerProcess:
     no_webui: bool | None = None
     jinja: bool | None = None
     reasoning_format: Literal['deepseek', 'none', 'nothink'] | None = None
-    reasoning_budget: int | None = None
+    reasoning: Literal['on', 'off', 'auto'] | None = None
     chat_template: str | None = None
     chat_template_file: str | None = None
     server_path: str | None = None
     mmproj_url: str | None = None
     media_path: str | None = None
     sleep_idle_seconds: int | None = None
+    webui_mcp_proxy: bool = False
 
     # session variables
     process: subprocess.Popen | None = None
@@ -180,6 +182,8 @@ def start(self, timeout_seconds: int | None = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.extend(["--pooling", self.pooling])
         if self.model_alias:
             server_args.extend(["--alias", self.model_alias])
+        if self.model_tags:
+            server_args.extend(["--tags", self.model_tags])
         if self.n_ctx:
             server_args.extend(["--ctx-size", self.n_ctx])
         if self.n_slots:
@@ -221,8 +225,8 @@ def start(self, timeout_seconds: int | None = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.append("--no-jinja")
         if self.reasoning_format is not None:
             server_args.extend(("--reasoning-format", self.reasoning_format))
-        if self.reasoning_budget is not None:
-            server_args.extend(("--reasoning-budget", self.reasoning_budget))
+        if self.reasoning is not None:
+            server_args.extend(("--reasoning", self.reasoning))
         if self.chat_template:
             server_args.extend(["--chat-template", self.chat_template])
         if self.chat_template_file:
@@ -233,6 +237,8 @@ def start(self, timeout_seconds: int | None = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.extend(["--media-path", self.media_path])
         if self.sleep_idle_seconds is not None:
             server_args.extend(["--sleep-idle-seconds", self.sleep_idle_seconds])
+        if self.webui_mcp_proxy:
+            server_args.append("--webui-mcp-proxy")
 
         args = [str(arg) for arg in [server_path, *server_args]]
         print(f"tests: starting server with: {' '.join(args)}")
diff --git a/tools/server/webui/.storybook/main.ts b/tools/server/webui/.storybook/main.ts
index bfd16fa2245..4f6945f2108 100644
--- a/tools/server/webui/.storybook/main.ts
+++ b/tools/server/webui/.storybook/main.ts
@@ -1,17 +1,24 @@
 import type { StorybookConfig } from '@storybook/sveltekit';
+import { dirname, resolve } from 'path';
+import { fileURLToPath } from 'url';
+
+const __dirname = dirname(fileURLToPath(import.meta.url));
 
 const config: StorybookConfig = {
 	stories: ['../tests/stories/**/*.mdx', '../tests/stories/**/*.stories.@(js|ts|svelte)'],
 	addons: [
 		'@storybook/addon-svelte-csf',
 		'@chromatic-com/storybook',
-		'@storybook/addon-docs',
+		'@storybook/addon-vitest',
 		'@storybook/addon-a11y',
-		'@storybook/addon-vitest'
+		'@storybook/addon-docs'
 	],
-	framework: {
-		name: '@storybook/sveltekit',
-		options: {}
+	framework: '@storybook/sveltekit',
+	viteFinal: async (config) => {
+		config.server = config.server || {};
+		config.server.fs = config.server.fs || {};
+		config.server.fs.allow = [...(config.server.fs.allow || []), resolve(__dirname, '../tests')];
+		return config;
 	}
 };
 export default config;
diff --git a/tools/server/webui/.storybook/preview.ts b/tools/server/webui/.storybook/preview.ts
index 8d530e43e37..566dbfd289c 100644
--- a/tools/server/webui/.storybook/preview.ts
+++ b/tools/server/webui/.storybook/preview.ts
@@ -13,7 +13,7 @@ const preview: Preview = {
 		},
 
 		backgrounds: {
-			disable: true
+			disabled: true
 		},
 
 		a11y: {
diff --git a/tools/server/webui/README.md b/tools/server/webui/README.md
index 98b01fdcd7f..6fc908e274f 100644
--- a/tools/server/webui/README.md
+++ b/tools/server/webui/README.md
@@ -101,7 +101,7 @@ In a separate terminal, start the backend server:
 ./llama-server -m model.gguf
 
 # Multi-model (ROUTER mode)
-./llama-server --model-store /path/to/models
+./llama-server --models-dir /path/to/models
 ```
 
 ### 3. Start Development Servers
diff --git a/tools/server/webui/docs/architecture/high-level-architecture-simplified.md b/tools/server/webui/docs/architecture/high-level-architecture-simplified.md
index a6cb1e9c394..500f477c9a4 100644
--- a/tools/server/webui/docs/architecture/high-level-architecture-simplified.md
+++ b/tools/server/webui/docs/architecture/high-level-architecture-simplified.md
@@ -12,9 +12,13 @@ flowchart TB
         C_Form["ChatForm"]
         C_Messages["ChatMessages"]
         C_Message["ChatMessage"]
+        C_ChatMessageAgenticContent["ChatMessageAgenticContent"]
         C_MessageEditForm["ChatMessageEditForm"]
         C_ModelsSelector["ModelsSelector"]
         C_Settings["ChatSettings"]
+        C_McpSettings["McpServersSettings"]
+        C_McpResourceBrowser["McpResourceBrowser"]
+        C_McpServersSelector["McpServersSelector"]
     end
 
     subgraph Hooks["🪝 Hooks"]
@@ -24,10 +28,13 @@ flowchart TB
 
     subgraph Stores["🗄️ Stores"]
         S1["chatStore<br/><i>Chat interactions & streaming</i>"]
-        S2["conversationsStore<br/><i>Conversation data & messages</i>"]
+        SA["agenticStore<br/><i>Multi-turn agentic loop orchestration</i>"]
+        S2["conversationsStore<br/><i>Conversation data, messages & MCP overrides</i>"]
         S3["modelsStore<br/><i>Model selection & loading</i>"]
         S4["serverStore<br/><i>Server props & role detection</i>"]
-        S5["settingsStore<br/><i>User configuration</i>"]
+        S5["settingsStore<br/><i>User configuration incl. MCP</i>"]
+        S6["mcpStore<br/><i>MCP servers, tools, prompts</i>"]
+        S7["mcpResourceStore<br/><i>MCP resources & attachments</i>"]
     end
 
     subgraph Services["⚙️ Services"]
@@ -36,11 +43,12 @@ flowchart TB
         SV3["PropsService"]
         SV4["DatabaseService"]
         SV5["ParameterSyncService"]
+        SV6["MCPService<br/><i>protocol operations</i>"]
     end
 
     subgraph Storage["💾 Storage"]
         ST1["IndexedDB<br/><i>conversations, messages</i>"]
-        ST2["LocalStorage<br/><i>config, userOverrides</i>"]
+        ST2["LocalStorage<br/><i>config, userOverrides, mcpServers</i>"]
     end
 
     subgraph APIs["🌐 llama-server API"]
@@ -50,15 +58,27 @@ flowchart TB
         API4["/v1/models"]
     end
 
+    subgraph ExternalMCP["🔌 External MCP Servers"]
+        EXT1["MCP Server 1<br/><i>WebSocket/HTTP/SSE</i>"]
+        EXT2["MCP Server N"]
+    end
+
     %% Routes → Components
     R1 & R2 --> C_Screen
     RL --> C_Sidebar
 
+    %% Layout runs MCP health checks
+    RL --> S6
+
     %% Component hierarchy
     C_Screen --> C_Form & C_Messages & C_Settings
     C_Messages --> C_Message
+    C_Message --> C_ChatMessageAgenticContent
     C_Message --> C_MessageEditForm
     C_Form & C_MessageEditForm --> C_ModelsSelector
+    C_Form --> C_McpServersSelector
+    C_Settings --> C_McpSettings
+    C_McpSettings --> C_McpResourceBrowser
 
     %% Components → Hooks → Stores
     C_Form & C_Messages --> H1 & H2
@@ -70,6 +90,15 @@ flowchart TB
     C_Sidebar --> S2
     C_ModelsSelector --> S3 & S4
     C_Settings --> S5
+    C_McpSettings --> S6
+    C_McpResourceBrowser --> S6 & S7
+    C_McpServersSelector --> S6
+    C_Form --> S6
+
+    %% chatStore → agenticStore → mcpStore (agentic loop)
+    S1 --> SA
+    SA --> SV1
+    SA --> S6
 
     %% Stores → Services
     S1 --> SV1 & SV4
@@ -77,6 +106,8 @@ flowchart TB
     S3 --> SV2 & SV3
     S4 --> SV3
     S5 --> SV5
+    S6 --> SV6
+    S7 --> SV6
 
     %% Services → Storage
     SV4 --> ST1
@@ -87,6 +118,9 @@ flowchart TB
     SV2 --> API3 & API4
     SV3 --> API2
 
+    %% MCP → External Servers
+    SV6 --> EXT1 & EXT2
+
     %% Styling
     classDef routeStyle fill:#e1f5fe,stroke:#01579b,stroke-width:2px
     classDef componentStyle fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
@@ -95,12 +129,17 @@ flowchart TB
     classDef serviceStyle fill:#e8f5e9,stroke:#2e7d32,stroke-width:2px
     classDef storageStyle fill:#fce4ec,stroke:#c2185b,stroke-width:2px
     classDef apiStyle fill:#e3f2fd,stroke:#1565c0,stroke-width:2px
+    classDef mcpStyle fill:#e0f2f1,stroke:#00695c,stroke-width:2px
+    classDef agenticStyle fill:#e8eaf6,stroke:#283593,stroke-width:2px
+    classDef externalStyle fill:#f3e5f5,stroke:#6a1b9a,stroke-width:2px,stroke-dasharray: 5 5
 
     class R1,R2,RL routeStyle
-    class C_Sidebar,C_Screen,C_Form,C_Messages,C_Message,C_MessageEditForm,C_ModelsSelector,C_Settings componentStyle
+    class C_Sidebar,C_Screen,C_Form,C_Messages,C_Message,C_ChatMessageAgenticContent,C_MessageEditForm,C_ModelsSelector,C_Settings componentStyle
+    class C_McpSettings,C_McpResourceBrowser,C_McpServersSelector componentStyle
     class H1,H2 hookStyle
-    class S1,S2,S3,S4,S5 storeStyle
-    class SV1,SV2,SV3,SV4,SV5 serviceStyle
+    class S1,S2,S3,S4,S5,SA,S6,S7 storeStyle
+    class SV1,SV2,SV3,SV4,SV5,SV6 serviceStyle
     class ST1,ST2 storageStyle
     class API1,API2,API3,API4 apiStyle
+    class EXT1,EXT2 externalStyle
 ```
diff --git a/tools/server/webui/docs/architecture/high-level-architecture.md b/tools/server/webui/docs/architecture/high-level-architecture.md
index c5ec4d69095..42ddb3f4f5b 100644
--- a/tools/server/webui/docs/architecture/high-level-architecture.md
+++ b/tools/server/webui/docs/architecture/high-level-architecture.md
@@ -22,6 +22,13 @@ end
             C_ModelsSelector["ModelsSelector"]
             C_Settings["ChatSettings"]
         end
+        subgraph MCPComponents["MCP UI"]
+            C_McpSettings["McpServersSettings"]
+            C_McpServerCard["McpServerCard"]
+            C_McpResourceBrowser["McpResourceBrowser"]
+            C_McpResourcePreview["McpResourcePreview"]
+            C_McpServersSelector["McpServersSelector"]
+        end
     end
 
     subgraph Hooks["🪝 Hooks"]
@@ -43,14 +50,20 @@ end
             S1Edit["<b>Editing:</b><br/>editAssistantMessage()<br/>editUserMessagePreserveResponses()<br/>editMessageWithBranching()<br/>clearEditMode()<br/>isEditModeActive()<br/>getAddFilesHandler()<br/>setEditModeActive()"]
             S1Utils["<b>Utilities:</b><br/>getApiOptions()<br/>parseTimingData()<br/>getOrCreateAbortController()<br/>getConversationModel()"]
         end
+        subgraph SA["agenticStore"]
+            SAState["<b>State:</b><br/>sessions (Map)<br/>isAnyRunning"]
+            SASession["<b>Session Management:</b><br/>getSession()<br/>updateSession()<br/>clearSession()<br/>getActiveSessions()<br/>isRunning()<br/>currentTurn()<br/>totalToolCalls()<br/>lastError()<br/>streamingToolCall()"]
+            SAConfig["<b>Configuration:</b><br/>getConfig()<br/>maxTurns, maxToolPreviewLines"]
+            SAFlow["<b>Agentic Loop:</b><br/>runAgenticFlow()<br/>executeAgenticLoop()<br/>normalizeToolCalls()<br/>emitToolCallResult()<br/>extractBase64Attachments()"]
+        end
         subgraph S2["conversationsStore"]
-            S2State["<b>State:</b><br/>conversations<br/>activeConversation<br/>activeMessages<br/>usedModalities<br/>isInitialized<br/>titleUpdateConfirmationCallback"]
-            S2Modal["<b>Modalities:</b><br/>getModalitiesUpToMessage()<br/>calculateModalitiesFromMessages()"]
+            S2State["<b>State:</b><br/>conversations<br/>activeConversation<br/>activeMessages<br/>isInitialized<br/>pendingMcpServerOverrides<br/>titleUpdateConfirmationCallback"]
             S2Lifecycle["<b>Lifecycle:</b><br/>initialize()<br/>loadConversations()<br/>clearActiveConversation()"]
-            S2ConvCRUD["<b>Conversation CRUD:</b><br/>createConversation()<br/>loadConversation()<br/>deleteConversation()<br/>updateConversationName()<br/>updateConversationTitleWithConfirmation()"]
+            S2ConvCRUD["<b>Conversation CRUD:</b><br/>createConversation()<br/>loadConversation()<br/>deleteConversation()<br/>deleteAll()<br/>updateConversationName()<br/>updateConversationTitleWithConfirmation()"]
             S2MsgMgmt["<b>Message Management:</b><br/>refreshActiveMessages()<br/>addMessageToActive()<br/>updateMessageAtIndex()<br/>findMessageIndex()<br/>sliceActiveMessages()<br/>removeMessageAtIndex()<br/>getConversationMessages()"]
             S2Nav["<b>Navigation:</b><br/>navigateToSibling()<br/>updateCurrentNode()<br/>updateConversationTimestamp()"]
-            S2Export["<b>Import/Export:</b><br/>downloadConversation()<br/>exportAllConversations()<br/>importConversations()<br/>triggerDownload()"]
+            S2McpOverrides["<b>MCP Per-Chat Overrides:</b><br/>getMcpServerOverride()<br/>getAllMcpServerOverrides()<br/>setMcpServerOverride()<br/>toggleMcpServerForChat()<br/>removeMcpServerOverride()<br/>isMcpServerEnabledForChat()<br/>clearPendingMcpServerOverrides()"]
+            S2Export["<b>Import/Export:</b><br/>downloadConversation()<br/>exportAllConversations()<br/>importConversations()<br/>importConversationsData()<br/>triggerDownload()"]
             S2Utils["<b>Utilities:</b><br/>setTitleUpdateConfirmationCallback()"]
         end
         subgraph S3["modelsStore"]
@@ -77,6 +90,21 @@ end
             S5Sync["<b>Server Sync:</b><br/>syncWithServerDefaults()<br/>forceSyncWithServerDefaults()"]
             S5Utils["<b>Utilities:</b><br/>getConfig()<br/>getAllConfig()<br/>getParameterInfo()<br/>getParameterDiff()<br/>getServerDefaults()<br/>clearAllUserOverrides()"]
         end
+        subgraph S6["mcpStore"]
+            S6State["<b>State:</b><br/>isInitializing, error<br/>toolCount, connectedServers<br/>healthChecks (Map)<br/>connections (Map)<br/>toolsIndex (Map)"]
+            S6Lifecycle["<b>Lifecycle:</b><br/>ensureInitialized()<br/>initialize()<br/>shutdown()<br/>acquireConnection()<br/>releaseConnection()"]
+            S6Health["<b>Health Checks:</b><br/>runHealthCheck()<br/>runHealthChecksForServers()<br/>updateHealthCheck()<br/>getHealthCheckState()<br/>clearHealthCheck()"]
+            S6Servers["<b>Server Management:</b><br/>getServers()<br/>addServer()<br/>updateServer()<br/>removeServer()<br/>getServerById()<br/>getServerDisplayName()"]
+            S6Tools["<b>Tool Operations:</b><br/>getToolDefinitionsForLLM()<br/>getToolNames()<br/>hasTool()<br/>getToolServer()<br/>executeTool()<br/>executeToolByName()"]
+            S6Prompts["<b>Prompt Operations:</b><br/>getAllPrompts()<br/>getPrompt()<br/>hasPromptsCapability()<br/>getPromptCompletions()"]
+        end
+        subgraph S7["mcpResourceStore"]
+            S7State["<b>State:</b><br/>serverResources (Map)<br/>cachedResources (Map)<br/>subscriptions (Map)<br/>attachments[]<br/>isLoading"]
+            S7Resources["<b>Resource Discovery:</b><br/>setServerResources()<br/>getServerResources()<br/>getAllResourceInfos()<br/>getAllTemplateInfos()<br/>clearServerResources()"]
+            S7Cache["<b>Caching:</b><br/>cacheResourceContent()<br/>getCachedContent()<br/>invalidateCache()<br/>clearCache()"]
+            S7Subs["<b>Subscriptions:</b><br/>addSubscription()<br/>removeSubscription()<br/>isSubscribed()<br/>handleResourceUpdate()"]
+            S7Attach["<b>Attachments:</b><br/>addAttachment()<br/>updateAttachmentContent()<br/>removeAttachment()<br/>clearAttachments()<br/>toMessageExtras()"]
+        end
 
         subgraph ReactiveExports["⚡ Reactive Exports"]
             direction LR
@@ -95,12 +123,19 @@ end
                 RE9c["setEditModeActive()"]
                 RE9d["clearEditMode()"]
             end
+            subgraph AgenticExports["agenticStore"]
+                REA1["agenticIsRunning()"]
+                REA2["agenticCurrentTurn()"]
+                REA3["agenticTotalToolCalls()"]
+                REA4["agenticLastError()"]
+                REA5["agenticStreamingToolCall()"]
+                REA6["agenticIsAnyRunning()"]
+            end
             subgraph ConvExports["conversationsStore"]
                 RE10["conversations()"]
                 RE11["activeConversation()"]
                 RE12["activeMessages()"]
                 RE13["isConversationsInitialized()"]
-                RE14["usedModalities()"]
             end
             subgraph ModelsExports["modelsStore"]
                 RE15["modelOptions()"]
@@ -131,6 +166,13 @@ end
                 RE36["theme()"]
                 RE37["isInitialized()"]
             end
+            subgraph MCPExports["mcpStore / mcpResourceStore"]
+                RE38["mcpResources()"]
+                RE39["mcpResourceAttachments()"]
+                RE40["mcpHasResourceAttachments()"]
+                RE41["mcpTotalResourceCount()"]
+                RE42["mcpResourcesLoading()"]
+            end
         end
     end
 
@@ -138,9 +180,9 @@ end
         direction TB
         subgraph SV1["ChatService"]
             SV1Msg["<b>Messaging:</b><br/>sendMessage()"]
-            SV1Stream["<b>Streaming:</b><br/>handleStreamResponse()<br/>parseSSEChunk()"]
-            SV1Convert["<b>Conversion:</b><br/>convertMessageToChatData()<br/>convertExtraToApiFormat()"]
-            SV1Utils["<b>Utilities:</b><br/>extractReasoningContent()<br/>getServerProps()<br/>getModels()"]
+            SV1Stream["<b>Streaming:</b><br/>handleStreamResponse()<br/>handleNonStreamResponse()"]
+            SV1Convert["<b>Conversion:</b><br/>convertDbMessageToApiChatMessageData()<br/>mergeToolCallDeltas()"]
+            SV1Utils["<b>Utilities:</b><br/>stripReasoningContent()<br/>extractModelName()<br/>parseErrorResponse()"]
         end
         subgraph SV2["ModelsService"]
             SV2List["<b>Listing:</b><br/>list()<br/>listRouter()"]
@@ -152,7 +194,7 @@ end
         end
         subgraph SV4["DatabaseService"]
             SV4Conv["<b>Conversations:</b><br/>createConversation()<br/>getConversation()<br/>getAllConversations()<br/>updateConversation()<br/>deleteConversation()"]
-            SV4Msg["<b>Messages:</b><br/>createMessageBranch()<br/>createRootMessage()<br/>getConversationMessages()<br/>updateMessage()<br/>deleteMessage()<br/>deleteMessageCascading()"]
+            SV4Msg["<b>Messages:</b><br/>createMessageBranch()<br/>createRootMessage()<br/>createSystemMessage()<br/>getConversationMessages()<br/>updateMessage()<br/>deleteMessage()<br/>deleteMessageCascading()"]
             SV4Node["<b>Navigation:</b><br/>updateCurrentNode()"]
             SV4Import["<b>Import:</b><br/>importConversations()"]
         end
@@ -162,6 +204,19 @@ end
             SV5Info["<b>Info:</b><br/>getParameterInfo()<br/>canSyncParameter()<br/>getSyncableParameterKeys()<br/>validateServerParameter()"]
             SV5Diff["<b>Diff:</b><br/>createParameterDiff()"]
         end
+        subgraph SV6["MCPService"]
+            SV6Transport["<b>Transport:</b><br/>createTransport()<br/>WebSocket / StreamableHTTP / SSE"]
+            SV6Conn["<b>Connection:</b><br/>connect()<br/>disconnect()"]
+            SV6Tools["<b>Tools:</b><br/>listTools()<br/>callTool()"]
+            SV6Prompts["<b>Prompts:</b><br/>listPrompts()<br/>getPrompt()"]
+            SV6Resources["<b>Resources:</b><br/>listResources()<br/>listResourceTemplates()<br/>readResource()<br/>subscribeResource()<br/>unsubscribeResource()"]
+            SV6Complete["<b>Completions:</b><br/>complete()"]
+        end
+    end
+
+    subgraph ExternalMCP["🔌 External MCP Servers"]
+        EXT1["MCP Server 1<br/>(WebSocket/StreamableHTTP/SSE)"]
+        EXT2["MCP Server N"]
     end
 
     subgraph Storage["💾 Storage"]
@@ -171,6 +226,7 @@ end
         ST5["LocalStorage"]
         ST6["config"]
         ST7["userOverrides"]
+        ST8["mcpServers"]
     end
 
     subgraph APIs["🌐 llama-server API"]
@@ -185,6 +241,9 @@ end
     R2 --> C_Screen
     RL --> C_Sidebar
 
+    %% Layout runs MCP health checks on startup
+    RL --> S6
+
     %% Component hierarchy
     C_Screen --> C_Form & C_Messages & C_Settings
     C_Messages --> C_Message
@@ -194,8 +253,15 @@ end
     C_MessageEditForm --> C_Attach
     C_Form --> C_ModelsSelector
     C_Form --> C_Attach
+    C_Form --> C_McpServersSelector
     C_Message --> C_Attach
 
+    %% MCP Components hierarchy
+    C_Settings --> C_McpSettings
+    C_McpSettings --> C_McpServerCard
+    C_McpServerCard --> C_McpResourceBrowser
+    C_McpResourceBrowser --> C_McpResourcePreview
+
     %% Components use Hooks
     C_Form --> H1
     C_Message --> H1 & H2
@@ -210,17 +276,29 @@ end
     C_Screen --> S1 & S2
     C_Messages --> S2
     C_Message --> S1 & S2 & S3
-    C_Form --> S1 & S3
+    C_Form --> S1 & S3 & S6
     C_Sidebar --> S2
     C_ModelsSelector --> S3 & S4
     C_Settings --> S5
+    C_McpSettings --> S6
+    C_McpServerCard --> S6
+    C_McpResourceBrowser --> S6 & S7
+    C_McpServersSelector --> S6
 
     %% Stores export Reactive State
     S1 -. exports .-> ChatExports
+    SA -. exports .-> AgenticExports
     S2 -. exports .-> ConvExports
     S3 -. exports .-> ModelsExports
     S4 -. exports .-> ServerExports
     S5 -. exports .-> SettingsExports
+    S6 -. exports .-> MCPExports
+    S7 -. exports .-> MCPExports
+
+    %% chatStore → agenticStore (agentic loop orchestration)
+    S1 --> SA
+    SA --> SV1
+    SA --> S6
 
     %% Stores use Services
     S1 --> SV1 & SV4
@@ -228,28 +306,35 @@ end
     S3 --> SV2 & SV3
     S4 --> SV3
     S5 --> SV5
+    S6 --> SV6
+    S7 --> SV6
 
     %% Services to Storage
     SV4 --> ST1
     ST1 --> ST2 & ST3
     SV5 --> ST5
-    ST5 --> ST6 & ST7
+    ST5 --> ST6 & ST7 & ST8
 
     %% Services to APIs
     SV1 --> API1
     SV2 --> API3 & API4
     SV3 --> API2
 
+    %% MCP → External Servers
+    SV6 --> EXT1 & EXT2
+
     %% Styling
     classDef routeStyle fill:#e1f5fe,stroke:#01579b,stroke-width:2px
     classDef componentStyle fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
     classDef componentGroupStyle fill:#e1bee7,stroke:#7b1fa2,stroke-width:1px
+    classDef hookStyle fill:#fff8e1,stroke:#ff8f00,stroke-width:2px
     classDef storeStyle fill:#fff3e0,stroke:#e65100,stroke-width:2px
     classDef stateStyle fill:#ffe0b2,stroke:#e65100,stroke-width:1px
     classDef methodStyle fill:#ffecb3,stroke:#e65100,stroke-width:1px
     classDef reactiveStyle fill:#fffde7,stroke:#f9a825,stroke-width:1px
     classDef serviceStyle fill:#e8f5e9,stroke:#2e7d32,stroke-width:2px
     classDef serviceMStyle fill:#c8e6c9,stroke:#2e7d32,stroke-width:1px
+    classDef externalStyle fill:#f3e5f5,stroke:#6a1b9a,stroke-width:2px,stroke-dasharray: 5 5
     classDef storageStyle fill:#fce4ec,stroke:#c2185b,stroke-width:2px
     classDef apiStyle fill:#e3f2fd,stroke:#1565c0,stroke-width:2px
 
@@ -257,23 +342,32 @@ end
     class C_Sidebar,C_Screen,C_Form,C_Messages,C_Message,C_MessageUser,C_MessageEditForm componentStyle
     class C_ModelsSelector,C_Settings componentStyle
     class C_Attach componentStyle
-    class H1,H2,H3 methodStyle
-    class LayoutComponents,ChatUIComponents componentGroupStyle
-    class Hooks storeStyle
-    class S1,S2,S3,S4,S5 storeStyle
-    class S1State,S2State,S3State,S4State,S5State stateStyle
+    class C_McpSettings,C_McpServerCard,C_McpResourceBrowser,C_McpResourcePreview,C_McpServersSelector componentStyle
+    class H1,H2,H3 hookStyle
+    class LayoutComponents,ChatUIComponents,MCPComponents componentGroupStyle
+    class Hooks hookStyle
+    classDef agenticStyle fill:#e8eaf6,stroke:#283593,stroke-width:2px
+    classDef agenticMethodStyle fill:#c5cae9,stroke:#283593,stroke-width:1px
+
+    class S1,S2,S3,S4,S5,SA,S6,S7 storeStyle
+    class S1State,S2State,S3State,S4State,S5State,SAState,S6State,S7State stateStyle
     class S1Msg,S1Regen,S1Edit,S1Stream,S1LoadState,S1ProcState,S1Error,S1Utils methodStyle
-    class S2Lifecycle,S2ConvCRUD,S2MsgMgmt,S2Nav,S2Modal,S2Export,S2Utils methodStyle
+    class SASession,SAConfig,SAFlow methodStyle
+    class S2Lifecycle,S2ConvCRUD,S2MsgMgmt,S2Nav,S2McpOverrides,S2Export,S2Utils methodStyle
     class S3Getters,S3Modal,S3Status,S3Fetch,S3Select,S3LoadUnload,S3Utils methodStyle
     class S4Getters,S4Data,S4Utils methodStyle
     class S5Lifecycle,S5Update,S5Reset,S5Sync,S5Utils methodStyle
-    class ChatExports,ConvExports,ModelsExports,ServerExports,SettingsExports reactiveStyle
-    class SV1,SV2,SV3,SV4,SV5 serviceStyle
+    class S6Lifecycle,S6Health,S6Servers,S6Tools,S6Prompts methodStyle
+    class S7Resources,S7Cache,S7Subs,S7Attach methodStyle
+    class ChatExports,AgenticExports,ConvExports,ModelsExports,ServerExports,SettingsExports,MCPExports reactiveStyle
+    class SV1,SV2,SV3,SV4,SV5,SV6 serviceStyle
+    class SV6Transport,SV6Conn,SV6Tools,SV6Prompts,SV6Resources,SV6Complete serviceMStyle
+    class EXT1,EXT2 externalStyle
     class SV1Msg,SV1Stream,SV1Convert,SV1Utils serviceMStyle
     class SV2List,SV2LoadUnload,SV2Status serviceMStyle
     class SV3Fetch serviceMStyle
     class SV4Conv,SV4Msg,SV4Node,SV4Import serviceMStyle
     class SV5Extract,SV5Merge,SV5Info,SV5Diff serviceMStyle
-    class ST1,ST2,ST3,ST5,ST6,ST7 storageStyle
+    class ST1,ST2,ST3,ST5,ST6,ST7,ST8 storageStyle
     class API1,API2,API3,API4 apiStyle
 ```
diff --git a/tools/server/webui/docs/flows/chat-flow.md b/tools/server/webui/docs/flows/chat-flow.md
index 05e1df385a7..296693c6a54 100644
--- a/tools/server/webui/docs/flows/chat-flow.md
+++ b/tools/server/webui/docs/flows/chat-flow.md
@@ -2,8 +2,10 @@
 sequenceDiagram
     participant UI as 🧩 ChatForm / ChatMessage
     participant chatStore as 🗄️ chatStore
+    participant agenticStore as 🗄️ agenticStore
     participant convStore as 🗄️ conversationsStore
     participant settingsStore as 🗄️ settingsStore
+    participant mcpStore as 🗄️ mcpStore
     participant ChatSvc as ⚙️ ChatService
     participant DbSvc as ⚙️ DatabaseService
     participant API as 🌐 /v1/chat/completions
@@ -25,6 +27,9 @@ sequenceDiagram
         Note over convStore: → see conversations-flow.mmd
     end
 
+    chatStore->>mcpStore: consumeResourceAttachmentsAsExtras()
+    Note right of mcpStore: Converts pending MCP resource<br/>attachments into message extras
+
     chatStore->>chatStore: addMessage("user", content, extras)
     chatStore->>DbSvc: createMessageBranch(userMsg, parentId)
     chatStore->>convStore: addMessageToActive(userMsg)
@@ -38,7 +43,7 @@ sequenceDiagram
     deactivate chatStore
 
     %% ═══════════════════════════════════════════════════════════════════════════
-    Note over UI,API: 🌊 STREAMING
+    Note over UI,API: 🌊 STREAMING (with agentic flow detection)
     %% ═══════════════════════════════════════════════════════════════════════════
 
     activate chatStore
@@ -52,10 +57,17 @@ sequenceDiagram
     chatStore->>chatStore: getApiOptions()
     Note right of chatStore: Merge from settingsStore.config:<br/>temperature, max_tokens, top_p, etc.
 
-    chatStore->>ChatSvc: sendMessage(messages, options, signal)
+    alt agenticConfig.enabled && mcpStore has connected servers
+        chatStore->>agenticStore: runAgenticFlow(convId, messages, assistantMsg, options, signal)
+        Note over agenticStore: Multi-turn agentic loop:<br/>1. Call ChatService.sendMessage()<br/>2. If response has tool_calls → execute via mcpStore<br/>3. Append tool results as messages<br/>4. Loop until no more tool_calls or maxTurns<br/>→ see agentic flow details below
+        agenticStore-->>chatStore: final response with timings
+    else standard (non-agentic) flow
+        chatStore->>ChatSvc: sendMessage(messages, options, signal)
+    end
+
     activate ChatSvc
 
-    ChatSvc->>ChatSvc: convertMessageToChatData(messages)
+    ChatSvc->>ChatSvc: convertDbMessageToApiChatMessageData(messages)
     Note right of ChatSvc: DatabaseMessage[] → ApiChatMessageData[]<br/>Process attachments (images, PDFs, audio)
 
     ChatSvc->>API: POST /v1/chat/completions
@@ -63,7 +75,7 @@ sequenceDiagram
 
     loop SSE chunks
         API-->>ChatSvc: data: {"choices":[{"delta":{...}}]}
-        ChatSvc->>ChatSvc: parseSSEChunk(line)
+        ChatSvc->>ChatSvc: handleStreamResponse(response)
 
         alt content chunk
             ChatSvc-->>chatStore: onChunk(content)
@@ -154,12 +166,15 @@ sequenceDiagram
     Note over UI,API: ✏️ EDIT USER MESSAGE
     %% ═══════════════════════════════════════════════════════════════════════════
 
-    UI->>chatStore: editUserMessagePreserveResponses(msgId, newContent)
+    UI->>chatStore: editMessageWithBranching(msgId, newContent, extras)
     activate chatStore
     chatStore->>chatStore: Get parent of target message
     chatStore->>DbSvc: createMessageBranch(editedMsg, parentId)
     chatStore->>convStore: refreshActiveMessages()
     Note right of chatStore: Creates new branch, original preserved
+    chatStore->>chatStore: createAssistantMessage(editedMsg.id)
+    chatStore->>chatStore: streamChatCompletion(...)
+    Note right of chatStore: Automatically regenerates response
     deactivate chatStore
 
     %% ═══════════════════════════════════════════════════════════════════════════
@@ -171,4 +186,43 @@ sequenceDiagram
     Note right of chatStore: errorDialogState = {type: 'timeout'|'server', message}
     chatStore->>convStore: removeMessageAtIndex(failedMsgIdx)
     chatStore->>DbSvc: deleteMessage(failedMsgId)
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,API: 🤖 AGENTIC LOOP (when agenticConfig.enabled)
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    Note over agenticStore: agenticStore.runAgenticFlow(convId, messages, assistantMsg, options, signal)
+    activate agenticStore
+    agenticStore->>agenticStore: getSession(convId) or create new
+    agenticStore->>agenticStore: updateSession(turn: 0, running: true)
+
+    loop executeAgenticLoop (until no tool_calls or maxTurns)
+        agenticStore->>agenticStore: turn++
+        agenticStore->>ChatSvc: sendMessage(messages, options, signal)
+        ChatSvc->>API: POST /v1/chat/completions
+        API-->>ChatSvc: response with potential tool_calls
+        ChatSvc-->>agenticStore: onComplete(content, reasoning, timings, toolCalls)
+
+        alt response has tool_calls
+            agenticStore->>agenticStore: normalizeToolCalls(toolCalls)
+            loop for each tool_call
+                agenticStore->>agenticStore: updateSession(streamingToolCall)
+                agenticStore->>mcpStore: executeTool(mcpCall, signal)
+                mcpStore-->>agenticStore: tool result
+                agenticStore->>agenticStore: extractBase64Attachments(result)
+                agenticStore->>agenticStore: emitToolCallResult(convId, ...)
+                agenticStore->>convStore: addMessageToActive(toolResultMsg)
+                agenticStore->>DbSvc: createMessageBranch(toolResultMsg)
+            end
+            agenticStore->>agenticStore: Create new assistantMsg for next turn
+            Note right of agenticStore: Continue loop with updated messages
+        else no tool_calls (final response)
+            agenticStore->>agenticStore: buildFinalTimings(allTurns)
+            Note right of agenticStore: Break loop, return final response
+        end
+    end
+
+    agenticStore->>agenticStore: updateSession(running: false)
+    agenticStore-->>chatStore: final content, timings, model
+    deactivate agenticStore
 ```
diff --git a/tools/server/webui/docs/flows/conversations-flow.md b/tools/server/webui/docs/flows/conversations-flow.md
index 185ed16e0cd..bd2309bc03e 100644
--- a/tools/server/webui/docs/flows/conversations-flow.md
+++ b/tools/server/webui/docs/flows/conversations-flow.md
@@ -6,7 +6,7 @@ sequenceDiagram
     participant DbSvc as ⚙️ DatabaseService
     participant IDB as 💾 IndexedDB
 
-    Note over convStore: State:<br/>conversations: DatabaseConversation[]<br/>activeConversation: DatabaseConversation | null<br/>activeMessages: DatabaseMessage[]<br/>isInitialized: boolean<br/>usedModalities: $derived({vision, audio})
+    Note over convStore: State:<br/>conversations: DatabaseConversation[]<br/>activeConversation: DatabaseConversation | null<br/>activeMessages: DatabaseMessage[]<br/>isInitialized: boolean<br/>pendingMcpServerOverrides: Map&lt;string, McpServerOverride&gt;
 
     %% ═══════════════════════════════════════════════════════════════════════════
     Note over UI,IDB: 🚀 INITIALIZATION
@@ -37,6 +37,13 @@ sequenceDiagram
     convStore->>convStore: conversations.unshift(conversation)
     convStore->>convStore: activeConversation = $state(conversation)
     convStore->>convStore: activeMessages = $state([])
+
+    alt pendingMcpServerOverrides has entries
+        loop each pending override
+            convStore->>DbSvc: Store MCP server override for new conversation
+        end
+        convStore->>convStore: clearPendingMcpServerOverrides()
+    end
     deactivate convStore
 
     %% ═══════════════════════════════════════════════════════════════════════════
@@ -58,8 +65,7 @@ sequenceDiagram
     Note right of convStore: Filter to show only current branch path
     convStore->>convStore: activeMessages = $state(filtered)
 
-    convStore->>chatStore: syncLoadingStateForChat(convId)
-    Note right of chatStore: Sync isLoading/currentResponse if streaming
+    Note right of convStore: Route (+page.svelte) then calls:<br/>chatStore.syncLoadingStateForChat(convId)
     deactivate convStore
 
     %% ═══════════════════════════════════════════════════════════════════════════
@@ -121,16 +127,36 @@ sequenceDiagram
     end
     deactivate convStore
 
+    UI->>convStore: deleteAll()
+    activate convStore
+    convStore->>DbSvc: Delete all conversations and messages
+    convStore->>convStore: conversations = []
+    convStore->>convStore: clearActiveConversation()
+    deactivate convStore
+
     %% ═══════════════════════════════════════════════════════════════════════════
-    Note over UI,IDB: 📊 MODALITY TRACKING
+    Note over UI,IDB: � MCP SERVER PER-CHAT OVERRIDES
     %% ═══════════════════════════════════════════════════════════════════════════
 
-    Note over convStore: usedModalities = $derived.by(() => {<br/>  calculateModalitiesFromMessages(activeMessages)<br/>})
+    Note over convStore: Conversations can override which MCP servers are enabled.
+    Note over convStore: Uses pendingMcpServerOverrides before conversation<br/>is created, then persists to conversation metadata.
+
+    UI->>convStore: setMcpServerOverride(convId, serverName, override)
+    Note right of convStore: override = {enabled: boolean}
+
+    UI->>convStore: toggleMcpServerForChat(convId, serverName, enabled)
+    activate convStore
+    convStore->>convStore: setMcpServerOverride(convId, serverName, {enabled})
+    deactivate convStore
+
+    UI->>convStore: isMcpServerEnabledForChat(convId, serverName)
+    Note right of convStore: Check override → fall back to global MCP config
 
-    Note over convStore: Scans activeMessages for attachments:<br/>- IMAGE → vision: true<br/>- PDF (processedAsImages) → vision: true<br/>- AUDIO → audio: true
+    UI->>convStore: getAllMcpServerOverrides(convId)
+    Note right of convStore: Returns all overrides for a conversation
 
-    UI->>convStore: getModalitiesUpToMessage(msgId)
-    Note right of convStore: Used for regeneration validation<br/>Only checks messages BEFORE target
+    UI->>convStore: removeMcpServerOverride(convId, serverName)
+    UI->>convStore: getMcpServerOverride(convId, serverName)
 
     %% ═══════════════════════════════════════════════════════════════════════════
     Note over UI,IDB: 📤 EXPORT / 📥 IMPORT
@@ -148,8 +174,10 @@ sequenceDiagram
     UI->>convStore: importConversations(file)
     activate convStore
     convStore->>convStore: Parse JSON file
+    convStore->>convStore: importConversationsData(parsed)
     convStore->>DbSvc: importConversations(parsed)
-    DbSvc->>IDB: Bulk INSERT conversations + messages
+    Note right of DbSvc: Skips duplicate conversations<br/>(checks existing by ID)
+    DbSvc->>IDB: INSERT conversations + messages (skip existing)
     convStore->>convStore: loadConversations()
     deactivate convStore
 ```
diff --git a/tools/server/webui/docs/flows/database-flow.md b/tools/server/webui/docs/flows/database-flow.md
index 50f8284e3c3..38cd6941cf7 100644
--- a/tools/server/webui/docs/flows/database-flow.md
+++ b/tools/server/webui/docs/flows/database-flow.md
@@ -66,6 +66,14 @@ sequenceDiagram
     DbSvc-->>Store: rootMessageId
     deactivate DbSvc
 
+    Store->>DbSvc: createSystemMessage(convId, content, parentId)
+    activate DbSvc
+    DbSvc->>DbSvc: Create message {role: "system", parent: parentId}
+    DbSvc->>Dexie: db.messages.add(systemMsg)
+    Dexie->>IDB: INSERT
+    DbSvc-->>Store: DatabaseMessage
+    deactivate DbSvc
+
     Store->>DbSvc: createMessageBranch(message, parentId)
     activate DbSvc
     DbSvc->>DbSvc: Generate UUID for new message
@@ -116,6 +124,13 @@ sequenceDiagram
     end
     DbSvc->>Dexie: db.messages.delete(msgId)
     Dexie->>IDB: DELETE target message
+
+    alt target message has a parent
+        DbSvc->>Dexie: db.messages.get(parentId)
+        DbSvc->>DbSvc: parent.children.filter(id !== msgId)
+        DbSvc->>Dexie: db.messages.update(parentId, {children})
+        Note right of DbSvc: Remove deleted message from parent's children[]
+    end
     deactivate DbSvc
 
     %% ═══════════════════════════════════════════════════════════════════════════
@@ -125,12 +140,16 @@ sequenceDiagram
     Store->>DbSvc: importConversations(data)
     activate DbSvc
     loop each conversation in data
-        DbSvc->>DbSvc: Generate new UUIDs (avoid conflicts)
-        DbSvc->>Dexie: db.conversations.add(conversation)
-        Dexie->>IDB: INSERT conversation
-        loop each message
-            DbSvc->>Dexie: db.messages.add(message)
-            Dexie->>IDB: INSERT message
+        DbSvc->>Dexie: db.conversations.get(conv.id)
+        alt conversation already exists
+            Note right of DbSvc: Skip duplicate (keep existing)
+        else conversation is new
+            DbSvc->>Dexie: db.conversations.add(conversation)
+            Dexie->>IDB: INSERT conversation
+            loop each message
+                DbSvc->>Dexie: db.messages.add(message)
+                Dexie->>IDB: INSERT message
+            end
         end
     end
     deactivate DbSvc
diff --git a/tools/server/webui/docs/flows/mcp-flow.md b/tools/server/webui/docs/flows/mcp-flow.md
new file mode 100644
index 00000000000..c8aa6665993
--- /dev/null
+++ b/tools/server/webui/docs/flows/mcp-flow.md
@@ -0,0 +1,226 @@
+```mermaid
+sequenceDiagram
+    participant UI as 🧩 McpServersSettings / ChatForm
+    participant chatStore as 🗄️ chatStore
+    participant mcpStore as 🗄️ mcpStore
+    participant mcpResStore as 🗄️ mcpResourceStore
+    participant convStore as 🗄️ conversationsStore
+    participant MCPSvc as ⚙️ MCPService
+    participant LS as 💾 LocalStorage
+    participant ExtMCP as 🔌 External MCP Server
+
+    Note over mcpStore: State:<br/>isInitializing, error<br/>toolCount, connectedServers<br/>healthChecks (Map)<br/>connections (Map)<br/>toolsIndex (Map)<br/>serverConfigs (Map)
+
+    Note over mcpResStore: State:<br/>serverResources (Map)<br/>cachedResources (Map)<br/>subscriptions (Map)<br/>attachments[]
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: 🚀 INITIALIZATION (App Startup)
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    UI->>mcpStore: ensureInitialized()
+    activate mcpStore
+
+    mcpStore->>LS: get(MCP_SERVERS_LOCALSTORAGE_KEY)
+    LS-->>mcpStore: MCPServerSettingsEntry[]
+
+    mcpStore->>mcpStore: parseServerSettings(servers)
+    Note right of mcpStore: Filter enabled servers<br/>Build MCPServerConfig objects<br/>Per-chat overrides checked via convStore
+
+    loop For each enabled server
+        mcpStore->>mcpStore: runHealthCheck(serverId)
+        mcpStore->>mcpStore: updateHealthCheck(id, CONNECTING)
+
+        mcpStore->>MCPSvc: connect(serverName, config, clientInfo, capabilities, onPhase)
+        activate MCPSvc
+
+        MCPSvc->>MCPSvc: createTransport(config)
+        Note right of MCPSvc: WebSocket / StreamableHTTP / SSE<br/>with optional CORS proxy
+
+        MCPSvc->>ExtMCP: Transport handshake
+        ExtMCP-->>MCPSvc: Connection established
+
+        MCPSvc->>ExtMCP: Initialize request
+        Note right of ExtMCP: Exchange capabilities<br/>Server info, protocol version
+
+        ExtMCP-->>MCPSvc: InitializeResult (serverInfo, capabilities)
+
+        MCPSvc->>ExtMCP: listTools()
+        ExtMCP-->>MCPSvc: Tool[]
+
+        MCPSvc-->>mcpStore: MCPConnection
+        deactivate MCPSvc
+
+        mcpStore->>mcpStore: connections.set(serverName, connection)
+        mcpStore->>mcpStore: indexTools(connection.tools, serverName)
+        Note right of mcpStore: toolsIndex.set(toolName, serverName)<br/>Handle name conflicts with prefixes
+
+        mcpStore->>mcpStore: updateHealthCheck(id, SUCCESS)
+        mcpStore->>mcpStore: _connectedServers.push(serverName)
+
+        alt Server supports resources
+            mcpStore->>MCPSvc: listAllResources(connection)
+            MCPSvc->>ExtMCP: listResources()
+            ExtMCP-->>MCPSvc: MCPResource[]
+            MCPSvc-->>mcpStore: resources
+
+            mcpStore->>MCPSvc: listAllResourceTemplates(connection)
+            MCPSvc->>ExtMCP: listResourceTemplates()
+            ExtMCP-->>MCPSvc: MCPResourceTemplate[]
+            MCPSvc-->>mcpStore: templates
+
+            mcpStore->>mcpResStore: setServerResources(serverName, resources, templates)
+        end
+    end
+
+    mcpStore->>mcpStore: _isInitializing = false
+    deactivate mcpStore
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: 🔧 TOOL EXECUTION (Chat with Tools)
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    UI->>mcpStore: executeTool(mcpCall: MCPToolCall, signal?)
+    activate mcpStore
+
+    mcpStore->>mcpStore: toolsIndex.get(mcpCall.function.name)
+    Note right of mcpStore: Resolve serverName from toolsIndex<br/>MCPToolCall = {id, type, function: {name, arguments}}
+
+    mcpStore->>mcpStore: acquireConnection()
+    Note right of mcpStore: activeFlowCount++<br/>Prevent shutdown during execution
+
+    mcpStore->>mcpStore: connection = connections.get(serverName)
+
+    mcpStore->>MCPSvc: callTool(connection, {name, arguments}, signal)
+    activate MCPSvc
+
+    MCPSvc->>MCPSvc: throwIfAborted(signal)
+    MCPSvc->>ExtMCP: callTool(name, arguments)
+
+    alt Tool execution success
+        ExtMCP-->>MCPSvc: ToolCallResult (content, isError)
+        MCPSvc->>MCPSvc: formatToolResult(result)
+        Note right of MCPSvc: Handle text, image (base64),<br/>embedded resource content
+        MCPSvc-->>mcpStore: ToolExecutionResult
+    else Tool execution error
+        ExtMCP-->>MCPSvc: Error
+        MCPSvc-->>mcpStore: throw Error
+    else Aborted
+        MCPSvc-->>mcpStore: throw AbortError
+    end
+
+    deactivate MCPSvc
+
+    mcpStore->>mcpStore: releaseConnection()
+    Note right of mcpStore: activeFlowCount--
+
+    mcpStore-->>UI: ToolExecutionResult
+    deactivate mcpStore
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: � RESOURCE ATTACHMENT CONSUMPTION
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    chatStore->>mcpStore: consumeResourceAttachmentsAsExtras()
+    activate mcpStore
+    mcpStore->>mcpResStore: getAttachments()
+    mcpResStore-->>mcpStore: MCPResourceAttachment[]
+    mcpStore->>mcpStore: Convert attachments to message extras
+    mcpStore->>mcpResStore: clearAttachments()
+    mcpStore-->>chatStore: MessageExtra[] (for user message)
+    deactivate mcpStore
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: �📝 PROMPT OPERATIONS
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    UI->>mcpStore: getAllPrompts()
+    activate mcpStore
+
+    loop For each connected server with prompts capability
+        mcpStore->>MCPSvc: listPrompts(connection)
+        MCPSvc->>ExtMCP: listPrompts()
+        ExtMCP-->>MCPSvc: Prompt[]
+        MCPSvc-->>mcpStore: prompts
+    end
+
+    mcpStore-->>UI: MCPPromptInfo[] (with serverName)
+    deactivate mcpStore
+
+    UI->>mcpStore: getPrompt(serverName, promptName, args?)
+    activate mcpStore
+
+    mcpStore->>MCPSvc: getPrompt(connection, name, args)
+    MCPSvc->>ExtMCP: getPrompt({name, arguments})
+    ExtMCP-->>MCPSvc: GetPromptResult (messages)
+    MCPSvc-->>mcpStore: GetPromptResult
+
+    mcpStore-->>UI: GetPromptResult
+    deactivate mcpStore
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: 📁 RESOURCE OPERATIONS
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    UI->>mcpResStore: addAttachment(resourceInfo)
+    activate mcpResStore
+    mcpResStore->>mcpResStore: Create MCPResourceAttachment (loading: true)
+    mcpResStore-->>UI: attachment
+
+    UI->>mcpStore: readResource(serverName, uri)
+    activate mcpStore
+
+    mcpStore->>MCPSvc: readResource(connection, uri)
+    MCPSvc->>ExtMCP: readResource({uri})
+    ExtMCP-->>MCPSvc: MCPReadResourceResult (contents)
+    MCPSvc-->>mcpStore: contents
+
+    mcpStore-->>UI: MCPResourceContent[]
+    deactivate mcpStore
+
+    UI->>mcpResStore: updateAttachmentContent(attachmentId, content)
+    mcpResStore->>mcpResStore: cacheResourceContent(resource, content)
+    deactivate mcpResStore
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: 🔄 AUTO-RECONNECTION
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    Note over mcpStore: On WebSocket close or connection error:
+    mcpStore->>mcpStore: autoReconnect(serverName, attempt)
+    activate mcpStore
+
+    mcpStore->>mcpStore: Calculate backoff delay
+    Note right of mcpStore: delay = min(30s, 1s * 2^attempt)
+
+    mcpStore->>mcpStore: Wait for delay
+    mcpStore->>mcpStore: reconnectServer(serverName)
+
+    alt Reconnection success
+        mcpStore->>mcpStore: updateHealthCheck(id, SUCCESS)
+    else Max attempts reached
+        mcpStore->>mcpStore: updateHealthCheck(id, ERROR)
+    end
+    deactivate mcpStore
+
+    %% ═══════════════════════════════════════════════════════════════════════════
+    Note over UI,ExtMCP: 🛑 SHUTDOWN
+    %% ═══════════════════════════════════════════════════════════════════════════
+
+    UI->>mcpStore: shutdown()
+    activate mcpStore
+
+    mcpStore->>mcpStore: Wait for activeFlowCount == 0
+
+    loop For each connection
+        mcpStore->>MCPSvc: disconnect(connection)
+        MCPSvc->>MCPSvc: transport.onclose = undefined
+        MCPSvc->>ExtMCP: close()
+    end
+
+    mcpStore->>mcpStore: connections.clear()
+    mcpStore->>mcpStore: toolsIndex.clear()
+    mcpStore->>mcpStore: _connectedServers = []
+
+    mcpStore->>mcpResStore: clear()
+    deactivate mcpStore
+```
diff --git a/tools/server/webui/docs/flows/settings-flow.md b/tools/server/webui/docs/flows/settings-flow.md
index 578e01e6e1d..40ad3bd94d7 100644
--- a/tools/server/webui/docs/flows/settings-flow.md
+++ b/tools/server/webui/docs/flows/settings-flow.md
@@ -49,14 +49,20 @@ sequenceDiagram
     settingsStore->>serverStore: defaultParams
     serverStore-->>settingsStore: {temperature, top_p, top_k, ...}
 
-    settingsStore->>ParamSvc: extractServerDefaults(defaultParams)
-    ParamSvc-->>settingsStore: Record<string, value>
+    loop each SYNCABLE_PARAMETER
+        alt key NOT in userOverrides
+            settingsStore->>settingsStore: config[key] = serverDefault[key]
+            Note right of settingsStore: Non-overridden params adopt server default
+        else key in userOverrides
+            Note right of settingsStore: Keep user value, skip server default
+        end
+    end
 
-    settingsStore->>ParamSvc: mergeWithServerDefaults(config, serverDefaults)
-    Note right of ParamSvc: For each syncable parameter:<br/>- If NOT in userOverrides → use server default<br/>- If in userOverrides → keep user value
-    ParamSvc-->>settingsStore: mergedConfig
+    alt serverStore.props has webuiSettings
+        settingsStore->>settingsStore: Apply webuiSettings from server
+        Note right of settingsStore: Server-provided UI settings<br/>(e.g. showRawOutputSwitch)
+    end
 
-    settingsStore->>settingsStore: config = mergedConfig
     settingsStore->>settingsStore: saveConfig()
     deactivate settingsStore
 
@@ -67,11 +73,18 @@ sequenceDiagram
     UI->>settingsStore: updateConfig(key, value)
     activate settingsStore
     settingsStore->>settingsStore: config[key] = value
-    settingsStore->>settingsStore: userOverrides.add(key)
-    Note right of settingsStore: Mark as user-modified (won't be overwritten by server)
+
+    alt value matches server default for key
+        settingsStore->>settingsStore: userOverrides.delete(key)
+        Note right of settingsStore: Matches server default, remove override
+    else value differs from server default
+        settingsStore->>settingsStore: userOverrides.add(key)
+        Note right of settingsStore: Mark as user-modified (won't be overwritten)
+    end
+
     settingsStore->>settingsStore: saveConfig()
-    settingsStore->>LS: set("llama-config", config)
-    settingsStore->>LS: set("llama-userOverrides", [...userOverrides])
+    settingsStore->>LS: set(CONFIG_LOCALSTORAGE_KEY, config)
+    settingsStore->>LS: set(USER_OVERRIDES_LOCALSTORAGE_KEY, [...userOverrides])
     deactivate settingsStore
 
     UI->>settingsStore: updateMultipleConfig({key1: val1, key2: val2})
@@ -88,10 +101,9 @@ sequenceDiagram
 
     UI->>settingsStore: resetConfig()
     activate settingsStore
-    settingsStore->>settingsStore: config = SETTING_CONFIG_DEFAULT
+    settingsStore->>settingsStore: config = {...SETTING_CONFIG_DEFAULT}
     settingsStore->>settingsStore: userOverrides.clear()
-    settingsStore->>settingsStore: syncWithServerDefaults()
-    Note right of settingsStore: Apply server defaults for syncable params
+    Note right of settingsStore: All params reset to defaults<br/>Next syncWithServerDefaults will adopt server values
     settingsStore->>settingsStore: saveConfig()
     deactivate settingsStore
 
@@ -139,6 +151,6 @@ sequenceDiagram
 
     Note over settingsStore: UI-only (not synced):
     rect rgb(255, 240, 240)
-        Note over settingsStore: systemMessage, custom (JSON)<br/>showStatistics, enableContinueGeneration<br/>autoMicOnEmpty, disableAutoScroll<br/>apiKey, pdfAsImage, disableReasoningFormat
+        Note over settingsStore: systemMessage, custom (JSON)<br/>showStatistics, enableContinueGeneration<br/>autoMicOnEmpty, disableAutoScroll<br/>apiKey, pdfAsImage, disableReasoningParsing, showRawOutputSwitch
     end
 ```
diff --git a/tools/server/webui/eslint.config.js b/tools/server/webui/eslint.config.js
index 5baea57f336..cd20fb383a4 100644
--- a/tools/server/webui/eslint.config.js
+++ b/tools/server/webui/eslint.config.js
@@ -27,7 +27,9 @@ export default ts.config(
 			// typescript-eslint strongly recommend that you do not use the no-undef lint rule on TypeScript projects.
 			// see: https://typescript-eslint.io/troubleshooting/faqs/eslint/#i-get-errors-from-the-no-undef-rule-about-global-variables-not-being-defined-even-though-there-are-no-typescript-errors
 			'no-undef': 'off',
-			'svelte/no-at-html-tags': 'off'
+			'svelte/no-at-html-tags': 'off',
+			// This app uses hash-based routing (#/) where resolve() from $app/paths does not apply
+			'svelte/no-navigation-without-resolve': 'off'
 		}
 	},
 	{
diff --git a/tools/server/webui/package-lock.json b/tools/server/webui/package-lock.json
index 68344168247..361144915f0 100644
--- a/tools/server/webui/package-lock.json
+++ b/tools/server/webui/package-lock.json
@@ -8,6 +8,7 @@
 			"name": "webui",
 			"version": "1.0.0",
 			"dependencies": {
+				"@modelcontextprotocol/sdk": "^1.25.1",
 				"highlight.js": "^11.11.1",
 				"mode-watcher": "^1.1.0",
 				"pdfjs-dist": "^5.4.54",
@@ -19,34 +20,36 @@
 				"remark-html": "^16.0.1",
 				"remark-rehype": "^11.1.2",
 				"svelte-sonner": "^1.0.5",
-				"unist-util-visit": "^5.0.0"
+				"unist-util-visit": "^5.0.0",
+				"zod": "^4.2.1"
 			},
 			"devDependencies": {
-				"@chromatic-com/storybook": "^4.1.2",
+				"@chromatic-com/storybook": "^5.0.0",
 				"@eslint/compat": "^1.2.5",
 				"@eslint/js": "^9.18.0",
 				"@internationalized/date": "^3.10.1",
 				"@lucide/svelte": "^0.515.0",
 				"@playwright/test": "^1.49.1",
-				"@storybook/addon-a11y": "^10.0.7",
-				"@storybook/addon-docs": "^10.0.7",
+				"@storybook/addon-a11y": "^10.2.4",
+				"@storybook/addon-docs": "^10.2.4",
 				"@storybook/addon-svelte-csf": "^5.0.10",
-				"@storybook/addon-vitest": "^10.0.7",
-				"@storybook/sveltekit": "^10.0.7",
+				"@storybook/addon-vitest": "^10.2.4",
+				"@storybook/sveltekit": "^10.2.4",
 				"@sveltejs/adapter-static": "^3.0.10",
 				"@sveltejs/kit": "^2.48.4",
 				"@sveltejs/vite-plugin-svelte": "^6.2.1",
 				"@tailwindcss/forms": "^0.5.9",
 				"@tailwindcss/typography": "^0.5.15",
 				"@tailwindcss/vite": "^4.0.0",
-				"@types/node": "^22",
+				"@types/node": "^24",
 				"@vitest/browser": "^3.2.3",
+				"@vitest/coverage-v8": "^3.2.3",
 				"bits-ui": "^2.14.4",
 				"clsx": "^2.1.1",
 				"dexie": "^4.0.11",
 				"eslint": "^9.18.0",
 				"eslint-config-prettier": "^10.0.1",
-				"eslint-plugin-storybook": "^10.0.7",
+				"eslint-plugin-storybook": "^10.2.4",
 				"eslint-plugin-svelte": "^3.0.0",
 				"fflate": "^0.8.2",
 				"globals": "^16.0.0",
@@ -60,7 +63,7 @@
 				"rehype-katex": "^7.0.1",
 				"remark-math": "^6.0.0",
 				"sass": "^1.93.3",
-				"storybook": "^10.0.7",
+				"storybook": "^10.2.4",
 				"svelte": "^5.38.2",
 				"svelte-check": "^4.0.0",
 				"tailwind-merge": "^3.3.1",
@@ -113,16 +116,42 @@
 				"node": ">=6.9.0"
 			}
 		},
-		"node_modules/@babel/helper-validator-identifier": {
+		"node_modules/@babel/helper-string-parser": {
 			"version": "7.27.1",
-			"resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
-			"integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
+			"resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
+			"integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==",
+			"dev": true,
+			"license": "MIT",
+			"engines": {
+				"node": ">=6.9.0"
+			}
+		},
+		"node_modules/@babel/helper-validator-identifier": {
+			"version": "7.28.5",
+			"resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz",
+			"integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==",
 			"dev": true,
 			"license": "MIT",
 			"engines": {
 				"node": ">=6.9.0"
 			}
 		},
+		"node_modules/@babel/parser": {
+			"version": "7.29.0",
+			"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.29.0.tgz",
+			"integrity": "sha512-IyDgFV5GeDUVX4YdF/3CPULtVGSXXMLh1xVIgdCgxApktqnQV0r7/8Nqthg+8YLGaAtdyIlo2qIdZrbCv4+7ww==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"@babel/types": "^7.29.0"
+			},
+			"bin": {
+				"parser": "bin/babel-parser.js"
+			},
+			"engines": {
+				"node": ">=6.0.0"
+			}
+		},
 		"node_modules/@babel/runtime": {
 			"version": "7.27.6",
 			"resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.6.tgz",
@@ -133,15 +162,39 @@
 				"node": ">=6.9.0"
 			}
 		},
+		"node_modules/@babel/types": {
+			"version": "7.29.0",
+			"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.29.0.tgz",
+			"integrity": "sha512-LwdZHpScM4Qz8Xw2iKSzS+cfglZzJGvofQICy7W7v4caru4EaAmyUuO6BGrbyQ2mYV11W0U8j5mBhd14dd3B0A==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"@babel/helper-string-parser": "^7.27.1",
+				"@babel/helper-validator-identifier": "^7.28.5"
+			},
+			"engines": {
+				"node": ">=6.9.0"
+			}
+		},
+		"node_modules/@bcoe/v8-coverage": {
+			"version": "1.0.2",
+			"resolved": "https://registry.npmjs.org/@bcoe/v8-coverage/-/v8-coverage-1.0.2.tgz",
+			"integrity": "sha512-6zABk/ECA/QYSCQ1NGiVwwbQerUCZ+TQbp64Q3AgmfNvurHH0j8TtXa1qbShXA6qqkpAj4V5W8pP6mLe1mcMqA==",
+			"dev": true,
+			"license": "MIT",
+			"engines": {
+				"node": ">=18"
+			}
+		},
 		"node_modules/@chromatic-com/storybook": {
-			"version": "4.1.2",
-			"resolved": "https://registry.npmjs.org/@chromatic-com/storybook/-/storybook-4.1.2.tgz",
-			"integrity": "sha512-QAWGtHwib0qsP5CcO64aJCF75zpFgpKK3jNpxILzQiPK3sVo4EmnVGJVdwcZWpWrGdH8E4YkncGoitw4EXzKMg==",
+			"version": "5.0.0",
+			"resolved": "https://registry.npmjs.org/@chromatic-com/storybook/-/storybook-5.0.0.tgz",
+			"integrity": "sha512-8wUsqL8kg6R5ue8XNE7Jv/iD1SuE4+6EXMIGIuE+T2loBITEACLfC3V8W44NJviCLusZRMWbzICddz0nU0bFaw==",
 			"dev": true,
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@@ -796,6 +855,18 @@
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+			"resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.19.9.tgz",
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@@ -873,6 +944,24 @@
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 			}
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+			"resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
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+			"license": "ISC",
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@@ -886,6 +975,16 @@
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+			"license": "MIT",
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@@ -959,6 +1058,68 @@
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+				"url": "https://github.com/sponsors/epoberezkin"
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@@ -1513,6 +1636,17 @@
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@@ -1824,9 +1958,9 @@
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 			"version": "6.0.3",
 			"resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz",
@@ -9239,7 +10618,6 @@
 			"version": "2.0.2",
 			"resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
 			"integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
-			"dev": true,
 			"license": "ISC",
 			"dependencies": {
 				"isexe": "^2.0.0"
@@ -9278,6 +10656,97 @@
 				"node": ">=0.10.0"
 			}
 		},
+		"node_modules/wrap-ansi": {
+			"version": "8.1.0",
+			"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
+			"integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"ansi-styles": "^6.1.0",
+				"string-width": "^5.0.1",
+				"strip-ansi": "^7.0.1"
+			},
+			"engines": {
+				"node": ">=12"
+			},
+			"funding": {
+				"url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+			}
+		},
+		"node_modules/wrap-ansi-cjs": {
+			"name": "wrap-ansi",
+			"version": "7.0.0",
+			"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+			"integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"ansi-styles": "^4.0.0",
+				"string-width": "^4.1.0",
+				"strip-ansi": "^6.0.0"
+			},
+			"engines": {
+				"node": ">=10"
+			},
+			"funding": {
+				"url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+			}
+		},
+		"node_modules/wrap-ansi-cjs/node_modules/emoji-regex": {
+			"version": "8.0.0",
+			"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+			"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
+			"dev": true,
+			"license": "MIT"
+		},
+		"node_modules/wrap-ansi-cjs/node_modules/string-width": {
+			"version": "4.2.3",
+			"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+			"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"emoji-regex": "^8.0.0",
+				"is-fullwidth-code-point": "^3.0.0",
+				"strip-ansi": "^6.0.1"
+			},
+			"engines": {
+				"node": ">=8"
+			}
+		},
+		"node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
+			"version": "6.0.1",
+			"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+			"integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"ansi-regex": "^5.0.1"
+			},
+			"engines": {
+				"node": ">=8"
+			}
+		},
+		"node_modules/wrap-ansi/node_modules/ansi-styles": {
+			"version": "6.2.3",
+			"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.3.tgz",
+			"integrity": "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg==",
+			"dev": true,
+			"license": "MIT",
+			"engines": {
+				"node": ">=12"
+			},
+			"funding": {
+				"url": "https://github.com/chalk/ansi-styles?sponsor=1"
+			}
+		},
+		"node_modules/wrappy": {
+			"version": "1.0.2",
+			"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+			"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+			"license": "ISC"
+		},
 		"node_modules/ws": {
 			"version": "8.18.3",
 			"resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz",
@@ -9300,6 +10769,22 @@
 				}
 			}
 		},
+		"node_modules/wsl-utils": {
+			"version": "0.1.0",
+			"resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz",
+			"integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==",
+			"dev": true,
+			"license": "MIT",
+			"dependencies": {
+				"is-wsl": "^3.1.0"
+			},
+			"engines": {
+				"node": ">=18"
+			},
+			"funding": {
+				"url": "https://github.com/sponsors/sindresorhus"
+			}
+		},
 		"node_modules/yallist": {
 			"version": "5.0.0",
 			"resolved": "https://registry.npmjs.org/yallist/-/yallist-5.0.0.tgz",
@@ -9329,6 +10814,25 @@
 			"integrity": "sha512-rAbqEGa8ovJy4pyBxZM70hg4pE6gDgaQ0Sl9M3enG3I0d6H4XSAM3GeNGLKnsBpuijUow064sf7ww1nutC5/3w==",
 			"license": "MIT"
 		},
+		"node_modules/zod": {
+			"version": "4.2.1",
+			"resolved": "https://registry.npmjs.org/zod/-/zod-4.2.1.tgz",
+			"integrity": "sha512-0wZ1IRqGGhMP76gLqz8EyfBXKk0J2qo2+H3fi4mcUP/KtTocoX08nmIAHl1Z2kJIZbZee8KOpBCSNPRgauucjw==",
+			"license": "MIT",
+			"peer": true,
+			"funding": {
+				"url": "https://github.com/sponsors/colinhacks"
+			}
+		},
+		"node_modules/zod-to-json-schema": {
+			"version": "3.25.1",
+			"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.1.tgz",
+			"integrity": "sha512-pM/SU9d3YAggzi6MtR4h7ruuQlqKtad8e9S0fmxcMi+ueAK5Korys/aWcV9LIIHTVbj01NdzxcnXSN+O74ZIVA==",
+			"license": "ISC",
+			"peerDependencies": {
+				"zod": "^3.25 || ^4"
+			}
+		},
 		"node_modules/zwitch": {
 			"version": "2.0.4",
 			"resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
diff --git a/tools/server/webui/package.json b/tools/server/webui/package.json
index a361ce76e38..f5cdc9e47f0 100644
--- a/tools/server/webui/package.json
+++ b/tools/server/webui/package.json
@@ -23,31 +23,32 @@
 		"cleanup": "rm -rf .svelte-kit build node_modules test-results"
 	},
 	"devDependencies": {
-		"@chromatic-com/storybook": "^4.1.2",
+		"@chromatic-com/storybook": "^5.0.0",
 		"@eslint/compat": "^1.2.5",
 		"@eslint/js": "^9.18.0",
 		"@internationalized/date": "^3.10.1",
 		"@lucide/svelte": "^0.515.0",
 		"@playwright/test": "^1.49.1",
-		"@storybook/addon-a11y": "^10.0.7",
-		"@storybook/addon-docs": "^10.0.7",
+		"@storybook/addon-a11y": "^10.2.4",
+		"@storybook/addon-docs": "^10.2.4",
 		"@storybook/addon-svelte-csf": "^5.0.10",
-		"@storybook/addon-vitest": "^10.0.7",
-		"@storybook/sveltekit": "^10.0.7",
+		"@storybook/addon-vitest": "^10.2.4",
+		"@storybook/sveltekit": "^10.2.4",
 		"@sveltejs/adapter-static": "^3.0.10",
 		"@sveltejs/kit": "^2.48.4",
 		"@sveltejs/vite-plugin-svelte": "^6.2.1",
 		"@tailwindcss/forms": "^0.5.9",
 		"@tailwindcss/typography": "^0.5.15",
 		"@tailwindcss/vite": "^4.0.0",
-		"@types/node": "^22",
+		"@types/node": "^24",
 		"@vitest/browser": "^3.2.3",
+		"@vitest/coverage-v8": "^3.2.3",
 		"bits-ui": "^2.14.4",
 		"clsx": "^2.1.1",
 		"dexie": "^4.0.11",
 		"eslint": "^9.18.0",
 		"eslint-config-prettier": "^10.0.1",
-		"eslint-plugin-storybook": "^10.0.7",
+		"eslint-plugin-storybook": "^10.2.4",
 		"eslint-plugin-svelte": "^3.0.0",
 		"fflate": "^0.8.2",
 		"globals": "^16.0.0",
@@ -61,7 +62,7 @@
 		"rehype-katex": "^7.0.1",
 		"remark-math": "^6.0.0",
 		"sass": "^1.93.3",
-		"storybook": "^10.0.7",
+		"storybook": "^10.2.4",
 		"svelte": "^5.38.2",
 		"svelte-check": "^4.0.0",
 		"tailwind-merge": "^3.3.1",
@@ -78,6 +79,7 @@
 		"vitest-browser-svelte": "^0.1.0"
 	},
 	"dependencies": {
+		"@modelcontextprotocol/sdk": "^1.25.1",
 		"highlight.js": "^11.11.1",
 		"mode-watcher": "^1.1.0",
 		"pdfjs-dist": "^5.4.54",
@@ -89,6 +91,7 @@
 		"remark-html": "^16.0.1",
 		"remark-rehype": "^11.1.2",
 		"svelte-sonner": "^1.0.5",
-		"unist-util-visit": "^5.0.0"
+		"unist-util-visit": "^5.0.0",
+		"zod": "^4.2.1"
 	}
 }
diff --git a/tools/server/webui/src/app.css b/tools/server/webui/src/app.css
index 9705040a4de..3ab21f0cc7b 100644
--- a/tools/server/webui/src/app.css
+++ b/tools/server/webui/src/app.css
@@ -14,11 +14,11 @@
 	--popover-foreground: oklch(0.145 0 0);
 	--primary: oklch(0.205 0 0);
 	--primary-foreground: oklch(0.985 0 0);
-	--secondary: oklch(0.97 0 0);
+	--secondary: oklch(0.95 0 0);
 	--secondary-foreground: oklch(0.205 0 0);
 	--muted: oklch(0.97 0 0);
 	--muted-foreground: oklch(0.556 0 0);
-	--accent: oklch(0.97 0 0);
+	--accent: oklch(0.95 0 0);
 	--accent-foreground: oklch(0.205 0 0);
 	--destructive: oklch(0.577 0.245 27.325);
 	--border: oklch(0.875 0 0);
@@ -37,7 +37,7 @@
 	--sidebar-accent-foreground: oklch(0.205 0 0);
 	--sidebar-border: oklch(0.922 0 0);
 	--sidebar-ring: oklch(0.708 0 0);
-	--code-background: oklch(0.975 0 0);
+	--code-background: oklch(0.985 0 0);
 	--code-foreground: oklch(0.145 0 0);
 	--layer-popover: 1000000;
 }
@@ -51,7 +51,7 @@
 	--popover-foreground: oklch(0.985 0 0);
 	--primary: oklch(0.922 0 0);
 	--primary-foreground: oklch(0.205 0 0);
-	--secondary: oklch(0.269 0 0);
+	--secondary: oklch(0.29 0 0);
 	--secondary-foreground: oklch(0.985 0 0);
 	--muted: oklch(0.269 0 0);
 	--muted-foreground: oklch(0.708 0 0);
@@ -116,12 +116,62 @@
 	--color-sidebar-ring: var(--sidebar-ring);
 }
 
+:root {
+	--chat-form-area-height: 8rem;
+	--chat-form-area-offset: 2rem;
+	--max-message-height: max(24rem, min(80dvh, calc(100dvh - var(--chat-form-area-height) - 12rem)));
+}
+
+@media (min-width: 640px) {
+	:root {
+		--chat-form-area-height: 24rem;
+		--chat-form-area-offset: 12rem;
+	}
+}
+
 @layer base {
 	* {
 		@apply border-border outline-ring/50;
 	}
+
 	body {
 		@apply bg-background text-foreground;
+		scrollbar-width: thin;
+		scrollbar-gutter: stable;
+	}
+
+	/* Global scrollbar styling - visible only on hover */
+	* {
+		scrollbar-width: thin;
+		scrollbar-color: transparent transparent;
+		transition: scrollbar-color 0.2s ease;
+	}
+
+	*:hover {
+		scrollbar-color: hsl(var(--muted-foreground) / 0.3) transparent;
+	}
+
+	*::-webkit-scrollbar {
+		width: 6px;
+		height: 6px;
+	}
+
+	*::-webkit-scrollbar-track {
+		background: transparent;
+	}
+
+	*::-webkit-scrollbar-thumb {
+		background: transparent;
+		border-radius: 3px;
+		transition: background 0.2s ease;
+	}
+
+	*:hover::-webkit-scrollbar-thumb {
+		background: hsl(var(--muted-foreground) / 0.3);
+	}
+
+	*::-webkit-scrollbar-thumb:hover {
+		background: hsl(var(--muted-foreground) / 0.5);
 	}
 }
 
diff --git a/tools/server/webui/src/lib/components/app/misc/ActionButton.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte
similarity index 91%
rename from tools/server/webui/src/lib/components/app/misc/ActionButton.svelte
rename to tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte
index 411a8b6094c..c676e224a72 100644
--- a/tools/server/webui/src/lib/components/app/misc/ActionButton.svelte
+++ b/tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte
@@ -8,6 +8,7 @@
 		tooltip: string;
 		variant?: 'default' | 'destructive' | 'outline' | 'secondary' | 'ghost' | 'link';
 		size?: 'default' | 'sm' | 'lg' | 'icon';
+		iconSize?: string;
 		class?: string;
 		disabled?: boolean;
 		onclick: () => void;
@@ -21,6 +22,7 @@
 		size = 'sm',
 		class: className = '',
 		disabled = false,
+		iconSize = 'h-3 w-3',
 		onclick,
 		'aria-label': ariaLabel
 	}: Props = $props();
@@ -37,7 +39,8 @@
 			aria-label={ariaLabel || tooltip}
 		>
 			{@const IconComponent = icon}
-			<IconComponent class="h-3 w-3" />
+
+			<IconComponent class={iconSize} />
 		</Button>
 	</Tooltip.Trigger>
 
diff --git a/tools/server/webui/src/lib/components/app/misc/CopyToClipboardIcon.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/misc/CopyToClipboardIcon.svelte
rename to tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte
diff --git a/tools/server/webui/src/lib/components/app/misc/RemoveButton.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte
similarity index 57%
rename from tools/server/webui/src/lib/components/app/misc/RemoveButton.svelte
rename to tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte
index 173685510ff..11f1c17d988 100644
--- a/tools/server/webui/src/lib/components/app/misc/RemoveButton.svelte
+++ b/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte
@@ -6,21 +6,22 @@
 		id: string;
 		onRemove?: (id: string) => void;
 		class?: string;
+		iconSize?: number;
 	}
 
-	let { id, onRemove, class: className = '' }: Props = $props();
+	let { id, onRemove, class: className = '', iconSize = 3 }: Props = $props();
 </script>
 
 <Button
 	type="button"
 	variant="ghost"
-	size="sm"
-	class="h-6 w-6 bg-white/20 p-0 hover:bg-white/30 {className}"
-	onclick={(e) => {
+	size="icon-sm"
+	class="bg-white/20 p-0 hover:bg-white/30 {className}"
+	onclick={(e: MouseEvent) => {
 		e.stopPropagation();
 		onRemove?.(id);
 	}}
 	aria-label="Remove file"
 >
-	<X class="h-3 w-3" />
+	<X class="h-{iconSize} w-{iconSize}" />
 </Button>
diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte
new file mode 100644
index 00000000000..b20e79b5e0b
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte
@@ -0,0 +1,46 @@
+<script lang="ts">
+	import { Eye } from '@lucide/svelte';
+	import { ActionIconCopyToClipboard } from '$lib/components/app';
+	import { FileTypeText } from '$lib/enums';
+
+	interface Props {
+		code: string;
+		language: string;
+		disabled?: boolean;
+		onPreview?: (code: string, language: string) => void;
+	}
+
+	let { code, language, disabled = false, onPreview }: Props = $props();
+
+	const showPreview = $derived(language?.toLowerCase() === FileTypeText.HTML);
+
+	function handlePreview() {
+		if (disabled) return;
+		onPreview?.(code, language);
+	}
+</script>
+
+<div class="code-block-actions">
+	<div class="copy-code-btn" class:opacity-50={disabled} class:!cursor-not-allowed={disabled}>
+		<ActionIconCopyToClipboard
+			text={code}
+			canCopy={!disabled}
+			ariaLabel={disabled ? 'Code incomplete' : 'Copy code'}
+		/>
+	</div>
+
+	{#if showPreview}
+		<button
+			class="preview-code-btn"
+			class:opacity-50={disabled}
+			class:!cursor-not-allowed={disabled}
+			title={disabled ? 'Code incomplete' : 'Preview code'}
+			aria-label="Preview code"
+			aria-disabled={disabled}
+			type="button"
+			onclick={handlePreview}
+		>
+			<Eye size={16} />
+		</button>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/actions/index.ts b/tools/server/webui/src/lib/components/app/actions/index.ts
new file mode 100644
index 00000000000..43485c7b7e1
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/actions/index.ts
@@ -0,0 +1,19 @@
+/**
+ *
+ * ACTIONS
+ *
+ * Small interactive components for user actions.
+ *
+ */
+
+/** Styled icon button for action triggers with tooltip. */
+export { default as ActionIcon } from './ActionIcon.svelte';
+
+/** Code block actions component (copy, preview). */
+export { default as ActionIconsCodeBlock } from './ActionIconsCodeBlock.svelte';
+
+/** Copy-to-clipboard icon button with click handler. */
+export { default as ActionIconCopyToClipboard } from './ActionIconCopyToClipboard.svelte';
+
+/** Remove/delete icon button with X icon. */
+export { default as ActionIconRemove } from './ActionIconRemove.svelte';
diff --git a/tools/server/webui/src/lib/components/app/misc/BadgeChatStatistic.svelte b/tools/server/webui/src/lib/components/app/badges/BadgeChatStatistic.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/misc/BadgeChatStatistic.svelte
rename to tools/server/webui/src/lib/components/app/badges/BadgeChatStatistic.svelte
diff --git a/tools/server/webui/src/lib/components/app/misc/BadgeInfo.svelte b/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/misc/BadgeInfo.svelte
rename to tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte
diff --git a/tools/server/webui/src/lib/components/app/misc/BadgeModality.svelte b/tools/server/webui/src/lib/components/app/badges/BadgeModality.svelte
similarity index 99%
rename from tools/server/webui/src/lib/components/app/misc/BadgeModality.svelte
rename to tools/server/webui/src/lib/components/app/badges/BadgeModality.svelte
index a0d5e863c2a..15936691a6a 100644
--- a/tools/server/webui/src/lib/components/app/misc/BadgeModality.svelte
+++ b/tools/server/webui/src/lib/components/app/badges/BadgeModality.svelte
@@ -1,6 +1,6 @@
 <script lang="ts">
 	import { ModelModality } from '$lib/enums';
-	import { MODALITY_ICONS, MODALITY_LABELS } from '$lib/constants/icons';
+	import { MODALITY_ICONS, MODALITY_LABELS } from '$lib/constants';
 	import { cn } from '$lib/components/ui/utils';
 
 	type DisplayableModality = ModelModality.VISION | ModelModality.AUDIO;
diff --git a/tools/server/webui/src/lib/components/app/badges/index.ts b/tools/server/webui/src/lib/components/app/badges/index.ts
new file mode 100644
index 00000000000..860afe3084d
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/badges/index.ts
@@ -0,0 +1,16 @@
+/**
+ *
+ * BADGES & INDICATORS
+ *
+ * Small visual indicators for status and metadata.
+ *
+ */
+
+/** Badge displaying chat statistics (tokens, timing). */
+export { default as BadgeChatStatistic } from './BadgeChatStatistic.svelte';
+
+/** Generic info badge with optional tooltip and click handler. */
+export { default as BadgeInfo } from './BadgeInfo.svelte';
+
+/** Badge indicating model modality (vision, audio, tools). */
+export { default as BadgeModality } from './BadgeModality.svelte';
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte
new file mode 100644
index 00000000000..5fba2b3d19e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte
@@ -0,0 +1,40 @@
+<script lang="ts">
+	import { ChatMessageMcpPromptContent, ActionIconRemove } from '$lib/components/app';
+	import type { DatabaseMessageExtraMcpPrompt } from '$lib/types';
+	import { McpPromptVariant } from '$lib/enums';
+
+	interface Props {
+		class?: string;
+		prompt: DatabaseMessageExtraMcpPrompt;
+		readonly?: boolean;
+		isLoading?: boolean;
+		loadError?: string;
+		onRemove?: () => void;
+	}
+
+	let {
+		class: className = '',
+		prompt,
+		readonly = false,
+		isLoading = false,
+		loadError,
+		onRemove
+	}: Props = $props();
+</script>
+
+<div class="group relative {className}">
+	<ChatMessageMcpPromptContent
+		{prompt}
+		variant={McpPromptVariant.ATTACHMENT}
+		{isLoading}
+		{loadError}
+	/>
+
+	{#if !readonly && onRemove}
+		<div
+			class="absolute top-10 right-2 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"
+		>
+			<ActionIconRemove id={prompt.name} onRemove={() => onRemove?.()} />
+		</div>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte
new file mode 100644
index 00000000000..258fcac80e7
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte
@@ -0,0 +1,86 @@
+<script lang="ts">
+	import { Loader2, AlertCircle } from '@lucide/svelte';
+	import { cn } from '$lib/components/ui/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import type { MCPResourceAttachment } from '$lib/types';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import { ActionIconRemove } from '$lib/components/app';
+	import { getResourceIcon, getResourceDisplayName } from '$lib/utils';
+
+	interface Props {
+		attachment: MCPResourceAttachment;
+		onRemove?: (attachmentId: string) => void;
+		onClick?: () => void;
+		class?: string;
+	}
+
+	let { attachment, onRemove, onClick, class: className }: Props = $props();
+
+	function getStatusClass(attachment: MCPResourceAttachment): string {
+		if (attachment.error) return 'border-red-500/50 bg-red-500/10';
+		if (attachment.loading) return 'border-border/50 bg-muted/30';
+		return 'border-border/50 bg-muted/30';
+	}
+
+	const ResourceIcon = $derived(
+		getResourceIcon(attachment.resource.mimeType, attachment.resource.uri)
+	);
+	const serverName = $derived(mcpStore.getServerDisplayName(attachment.resource.serverName));
+	const favicon = $derived(mcpStore.getServerFavicon(attachment.resource.serverName));
+</script>
+
+<Tooltip.Root>
+	<Tooltip.Trigger>
+		<button
+			type="button"
+			class={cn(
+				'flex flex-shrink-0 items-center gap-1.5 rounded-md border px-2 py-0.75 text-sm transition-colors',
+				getStatusClass(attachment),
+				onClick && 'cursor-pointer hover:bg-muted/50',
+				className
+			)}
+			onclick={onClick}
+			disabled={!onClick}
+		>
+			{#if attachment.loading}
+				<Loader2 class="h-3 w-3 animate-spin text-muted-foreground" />
+			{:else if attachment.error}
+				<AlertCircle class="h-3 w-3 text-red-500" />
+			{:else}
+				<ResourceIcon class="h-3 w-3 text-muted-foreground" />
+			{/if}
+
+			<span class="max-w-[150px] truncate text-xs">
+				{getResourceDisplayName(attachment.resource)}
+			</span>
+
+			{#if onRemove}
+				<ActionIconRemove
+					class="-my-2 -mr-1.5 bg-transparent"
+					iconSize={2}
+					id={attachment.id}
+					{onRemove}
+				/>
+			{/if}
+		</button>
+	</Tooltip.Trigger>
+
+	<Tooltip.Content>
+		<div class="flex items-center gap-1 text-xs">
+			{#if favicon}
+				<img
+					src={favicon}
+					alt=""
+					class="h-3 w-3 shrink-0 rounded-sm"
+					onerror={(e) => {
+						(e.currentTarget as HTMLImageElement).style.display = 'none';
+					}}
+				/>
+			{/if}
+
+			<span class="truncate">
+				{serverName}
+			</span>
+		</div>
+	</Tooltip.Content>
+</Tooltip.Root>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte
new file mode 100644
index 00000000000..341bf32c058
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte
@@ -0,0 +1,41 @@
+<script lang="ts">
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import {
+		mcpResourceAttachments,
+		mcpHasResourceAttachments
+	} from '$lib/stores/mcp-resources.svelte';
+	import { ChatAttachmentMcpResource, HorizontalScrollCarousel } from '$lib/components/app';
+
+	interface Props {
+		class?: string;
+		onResourceClick?: (uri: string) => void;
+	}
+
+	let { class: className, onResourceClick }: Props = $props();
+
+	const attachments = $derived(mcpResourceAttachments());
+	const hasAttachments = $derived(mcpHasResourceAttachments());
+
+	function handleRemove(attachmentId: string) {
+		mcpStore.removeResourceAttachment(attachmentId);
+	}
+
+	function handleResourceClick(uri: string) {
+		onResourceClick?.(uri);
+	}
+</script>
+
+{#if hasAttachments}
+	<div class={className}>
+		<HorizontalScrollCarousel gapSize="2">
+			{#each attachments as attachment, i (attachment.id)}
+				<ChatAttachmentMcpResource
+					class={i === 0 ? 'ml-3' : ''}
+					{attachment}
+					onRemove={handleRemove}
+					onClick={() => handleResourceClick(attachment.resource.uri)}
+				/>
+			{/each}
+		</HorizontalScrollCarousel>
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte
index 0b0bf52ad98..f05bdd8a03a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte
@@ -8,7 +8,8 @@
 		isImageFile,
 		isPdfFile,
 		isAudioFile,
-		getLanguageFromFilename
+		getLanguageFromFilename,
+		createBase64DataUrl
 	} from '$lib/utils';
 	import { convertPDFToImage } from '$lib/utils/browser-only';
 	import { modelsStore } from '$lib/stores/models.svelte';
@@ -255,7 +256,7 @@
 						<audio
 							controls
 							class="mb-4 w-full"
-							src={`data:${attachment.mimeType};base64,${attachment.base64Data}`}
+							src={createBase64DataUrl(attachment.mimeType, attachment.base64Data)}
 						>
 							Your browser does not support the audio element.
 						</audio>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte
index 908db5894bb..9d32ea0721a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte
@@ -1,5 +1,5 @@
 <script lang="ts">
-	import { RemoveButton } from '$lib/components/app';
+	import { ActionIconRemove } from '$lib/components/app';
 	import { formatFileSize, getFileTypeLabel, getPreviewText, isTextFile } from '$lib/utils';
 	import { AttachmentType } from '$lib/enums';
 
@@ -104,7 +104,7 @@
 			onclick={onClick}
 		>
 			<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100">
-				<RemoveButton {id} {onRemove} />
+				<ActionIconRemove {id} {onRemove} />
 			</div>
 
 			<div class="pr-8">
@@ -158,7 +158,7 @@
 
 		{#if !readonly}
 			<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100">
-				<RemoveButton {id} {onRemove} />
+				<ActionIconRemove {id} {onRemove} />
 			</div>
 		{/if}
 	</button>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte
index ba711a9d7b1..d0419db30c4 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte
@@ -1,5 +1,5 @@
 <script lang="ts">
-	import { RemoveButton } from '$lib/components/app';
+	import { ActionIconRemove } from '$lib/components/app';
 
 	interface Props {
 		id: string;
@@ -58,7 +58,7 @@
 		<div
 			class="absolute top-1 right-1 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"
 		>
-			<RemoveButton {id} {onRemove} class="text-white" />
+			<ActionIconRemove {id} {onRemove} class="text-white" />
 		</div>
 	{/if}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte
index a1f5af54e8c..a3d37b42a3b 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte
@@ -1,8 +1,21 @@
 <script lang="ts">
-	import { ChatAttachmentThumbnailImage, ChatAttachmentThumbnailFile } from '$lib/components/app';
+	import {
+		ChatAttachmentMcpPrompt,
+		ChatAttachmentMcpResource,
+		ChatAttachmentThumbnailImage,
+		ChatAttachmentThumbnailFile,
+		HorizontalScrollCarousel,
+		DialogChatAttachmentPreview,
+		DialogChatAttachmentsViewAll,
+		DialogMcpResourcePreview
+	} from '$lib/components/app';
 	import { Button } from '$lib/components/ui/button';
-	import { ChevronLeft, ChevronRight } from '@lucide/svelte';
-	import { DialogChatAttachmentPreview, DialogChatAttachmentsViewAll } from '$lib/components/app';
+	import { AttachmentType } from '$lib/enums';
+	import type {
+		DatabaseMessageExtraMcpPrompt,
+		DatabaseMessageExtraMcpResource,
+		MCPResourceAttachment
+	} from '$lib/types';
 	import { getAttachmentDisplayItems } from '$lib/utils';
 
 	interface Props {
@@ -41,12 +54,12 @@
 
 	let displayItems = $derived(getAttachmentDisplayItems({ uploadedFiles, attachments }));
 
-	let canScrollLeft = $state(false);
-	let canScrollRight = $state(false);
+	let carouselRef: HorizontalScrollCarousel | undefined = $state();
 	let isScrollable = $state(false);
 	let previewDialogOpen = $state(false);
 	let previewItem = $state<ChatAttachmentPreviewItem | null>(null);
-	let scrollContainer: HTMLDivElement | undefined = $state();
+	let mcpResourcePreviewOpen = $state(false);
+	let mcpResourcePreviewExtra = $state<DatabaseMessageExtraMcpResource | null>(null);
 	let showViewAll = $derived(limitToSingleRow && displayItems.length > 0 && isScrollable);
 	let viewAllDialogOpen = $state(false);
 
@@ -65,41 +78,29 @@
 		previewDialogOpen = true;
 	}
 
-	function scrollLeft(event?: MouseEvent) {
-		event?.stopPropagation();
-		event?.preventDefault();
-
-		if (!scrollContainer) return;
-
-		scrollContainer.scrollBy({ left: scrollContainer.clientWidth * -0.67, behavior: 'smooth' });
-	}
-
-	function scrollRight(event?: MouseEvent) {
-		event?.stopPropagation();
-		event?.preventDefault();
-
-		if (!scrollContainer) return;
-
-		scrollContainer.scrollBy({ left: scrollContainer.clientWidth * 0.67, behavior: 'smooth' });
+	function openMcpResourcePreview(extra: DatabaseMessageExtraMcpResource) {
+		mcpResourcePreviewExtra = extra;
+		mcpResourcePreviewOpen = true;
 	}
 
-	function updateScrollButtons() {
-		if (!scrollContainer) return;
-
-		const { scrollLeft, scrollWidth, clientWidth } = scrollContainer;
-
-		canScrollLeft = scrollLeft > 0;
-		canScrollRight = scrollLeft < scrollWidth - clientWidth - 1;
-		isScrollable = scrollWidth > clientWidth;
+	function toMcpResourceAttachment(
+		extra: DatabaseMessageExtraMcpResource,
+		id: string
+	): MCPResourceAttachment {
+		return {
+			id,
+			resource: {
+				uri: extra.uri,
+				name: extra.name,
+				title: extra.name,
+				serverName: extra.serverName
+			}
+		};
 	}
 
 	$effect(() => {
-		if (scrollContainer && displayItems.length) {
-			scrollContainer.scrollLeft = 0;
-
-			setTimeout(() => {
-				updateScrollButtons();
-			}, 0);
+		if (carouselRef && displayItems.length) {
+			carouselRef.resetScroll();
 		}
 	});
 </script>
@@ -107,67 +108,74 @@
 {#if displayItems.length > 0}
 	<div class={className} {style}>
 		{#if limitToSingleRow}
-			<div class="relative">
-				<button
-					class="absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 {canScrollLeft
-						? 'opacity-100'
-						: 'pointer-events-none opacity-0'}"
-					onclick={scrollLeft}
-					aria-label="Scroll left"
-				>
-					<ChevronLeft class="h-4 w-4" />
-				</button>
-
-				<div
-					class="scrollbar-hide flex items-start gap-3 overflow-x-auto"
-					bind:this={scrollContainer}
-					onscroll={updateScrollButtons}
-				>
-					{#each displayItems as item (item.id)}
-						{#if item.isImage && item.preview}
-							<ChatAttachmentThumbnailImage
-								class="flex-shrink-0 cursor-pointer {limitToSingleRow
-									? 'first:ml-4 last:mr-4'
-									: ''}"
-								id={item.id}
-								name={item.name}
-								preview={item.preview}
-								{readonly}
-								onRemove={onFileRemove}
-								height={imageHeight}
-								width={imageWidth}
-								{imageClass}
-								onClick={(event) => openPreview(item, event)}
-							/>
-						{:else}
-							<ChatAttachmentThumbnailFile
-								class="flex-shrink-0 cursor-pointer {limitToSingleRow
+			<HorizontalScrollCarousel
+				bind:this={carouselRef}
+				onScrollableChange={(scrollable) => (isScrollable = scrollable)}
+			>
+				{#each displayItems as item (item.id)}
+					{#if item.isMcpPrompt}
+						{@const mcpPrompt =
+							item.attachment?.type === AttachmentType.MCP_PROMPT
+								? (item.attachment as DatabaseMessageExtraMcpPrompt)
+								: item.uploadedFile?.mcpPrompt
+									? {
+											type: AttachmentType.MCP_PROMPT as const,
+											name: item.name,
+											serverName: item.uploadedFile.mcpPrompt.serverName,
+											promptName: item.uploadedFile.mcpPrompt.promptName,
+											content: item.textContent ?? '',
+											arguments: item.uploadedFile.mcpPrompt.arguments
+										}
+									: null}
+						{#if mcpPrompt}
+							<ChatAttachmentMcpPrompt
+								class="max-w-[300px] min-w-[200px] flex-shrink-0 {limitToSingleRow
 									? 'first:ml-4 last:mr-4'
 									: ''}"
-								id={item.id}
-								name={item.name}
-								size={item.size}
+								prompt={mcpPrompt}
 								{readonly}
-								onRemove={onFileRemove}
-								textContent={item.textContent}
-								attachment={item.attachment}
-								uploadedFile={item.uploadedFile}
-								onClick={(event) => openPreview(item, event)}
+								isLoading={item.isLoading}
+								loadError={item.loadError}
+								onRemove={onFileRemove ? () => onFileRemove(item.id) : undefined}
 							/>
 						{/if}
-					{/each}
-				</div>
+					{:else if item.isMcpResource && item.attachment?.type === AttachmentType.MCP_RESOURCE}
+						{@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource}
 
-				<button
-					class="absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 {canScrollRight
-						? 'opacity-100'
-						: 'pointer-events-none opacity-0'}"
-					onclick={scrollRight}
-					aria-label="Scroll right"
-				>
-					<ChevronRight class="h-4 w-4" />
-				</button>
-			</div>
+						<ChatAttachmentMcpResource
+							class="flex-shrink-0 {limitToSingleRow ? 'first:ml-4 last:mr-4' : ''}"
+							attachment={toMcpResourceAttachment(mcpResource, item.id)}
+							onClick={() => openMcpResourcePreview(mcpResource)}
+						/>
+					{:else if item.isImage && item.preview}
+						<ChatAttachmentThumbnailImage
+							class="flex-shrink-0 cursor-pointer {limitToSingleRow ? 'first:ml-4 last:mr-4' : ''}"
+							id={item.id}
+							name={item.name}
+							preview={item.preview}
+							{readonly}
+							onRemove={onFileRemove}
+							height={imageHeight}
+							width={imageWidth}
+							{imageClass}
+							onClick={(event) => openPreview(item, event)}
+						/>
+					{:else}
+						<ChatAttachmentThumbnailFile
+							class="flex-shrink-0 cursor-pointer {limitToSingleRow ? 'first:ml-4 last:mr-4' : ''}"
+							id={item.id}
+							name={item.name}
+							size={item.size}
+							{readonly}
+							onRemove={onFileRemove}
+							textContent={item.textContent}
+							attachment={item.attachment}
+							uploadedFile={item.uploadedFile}
+							onClick={(event) => openPreview(item, event)}
+						/>
+					{/if}
+				{/each}
+			</HorizontalScrollCarousel>
 
 			{#if showViewAll}
 				<div class="mt-2 -mr-2 flex justify-end px-4">
@@ -185,7 +193,39 @@
 		{:else}
 			<div class="flex flex-wrap items-start justify-end gap-3">
 				{#each displayItems as item (item.id)}
-					{#if item.isImage && item.preview}
+					{#if item.isMcpPrompt}
+						{@const mcpPrompt =
+							item.attachment?.type === AttachmentType.MCP_PROMPT
+								? (item.attachment as DatabaseMessageExtraMcpPrompt)
+								: item.uploadedFile?.mcpPrompt
+									? {
+											type: AttachmentType.MCP_PROMPT as const,
+											name: item.name,
+											serverName: item.uploadedFile.mcpPrompt.serverName,
+											promptName: item.uploadedFile.mcpPrompt.promptName,
+											content: item.textContent ?? '',
+											arguments: item.uploadedFile.mcpPrompt.arguments
+										}
+									: null}
+
+						{#if mcpPrompt}
+							<ChatAttachmentMcpPrompt
+								class="max-w-[300px] min-w-[200px]"
+								prompt={mcpPrompt}
+								{readonly}
+								isLoading={item.isLoading}
+								loadError={item.loadError}
+								onRemove={onFileRemove ? () => onFileRemove(item.id) : undefined}
+							/>
+						{/if}
+					{:else if item.isMcpResource && item.attachment?.type === AttachmentType.MCP_RESOURCE}
+						{@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource}
+
+						<ChatAttachmentMcpResource
+							attachment={toMcpResourceAttachment(mcpResource, item.id)}
+							onClick={() => openMcpResourcePreview(mcpResource)}
+						/>
+					{:else if item.isImage && item.preview}
 						<ChatAttachmentThumbnailImage
 							class="cursor-pointer"
 							id={item.id}
@@ -241,3 +281,7 @@
 	{imageClass}
 	{activeModelId}
 />
+
+{#if mcpResourcePreviewExtra}
+	<DialogMcpResourcePreview bind:open={mcpResourcePreviewOpen} extra={mcpResourcePreviewExtra} />
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
index 27ab975cbd0..fea1e82903d 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
@@ -1,21 +1,39 @@
 <script lang="ts">
-	import { afterNavigate } from '$app/navigation';
 	import {
 		ChatAttachmentsList,
+		ChatAttachmentMcpResources,
 		ChatFormActions,
 		ChatFormFileInputInvisible,
-		ChatFormHelperText,
+		ChatFormPromptPicker,
+		ChatFormResourcePicker,
 		ChatFormTextarea
 	} from '$lib/components/app';
-	import { INPUT_CLASSES } from '$lib/constants/input-classes';
-	import { SETTING_CONFIG_DEFAULT } from '$lib/constants/settings-config';
+	import { DialogMcpResources } from '$lib/components/app/dialogs';
+	import {
+		CLIPBOARD_CONTENT_QUOTE_PREFIX,
+		INPUT_CLASSES,
+		SETTING_CONFIG_DEFAULT,
+		INITIAL_FILE_SIZE,
+		PROMPT_CONTENT_SEPARATOR,
+		PROMPT_TRIGGER_PREFIX,
+		RESOURCE_TRIGGER_PREFIX
+	} from '$lib/constants';
+	import {
+		ContentPartType,
+		FileExtensionText,
+		KeyboardKey,
+		MimeTypeText,
+		SpecialFileType
+	} from '$lib/enums';
 	import { config } from '$lib/stores/settings.svelte';
 	import { modelOptions, selectedModelId } from '$lib/stores/models.svelte';
 	import { isRouterMode } from '$lib/stores/server.svelte';
 	import { chatStore } from '$lib/stores/chat.svelte';
-	import { activeMessages } from '$lib/stores/conversations.svelte';
-	import { MimeTypeText } from '$lib/enums';
-	import { isIMEComposing, parseClipboardContent } from '$lib/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { mcpHasResourceAttachments } from '$lib/stores/mcp-resources.svelte';
+	import { conversationsStore, activeMessages } from '$lib/stores/conversations.svelte';
+	import type { GetPromptResult, MCPPromptInfo, MCPResourceInfo, PromptMessage } from '$lib/types';
+	import { isIMEComposing, parseClipboardContent, uuid } from '$lib/utils';
 	import {
 		AudioRecorder,
 		convertToWav,
@@ -25,51 +43,100 @@
 	import { onMount } from 'svelte';
 
 	interface Props {
+		// Data
+		attachments?: DatabaseMessageExtra[];
+		uploadedFiles?: ChatUploadedFile[];
+		value?: string;
+
+		// UI State
 		class?: string;
 		disabled?: boolean;
 		isLoading?: boolean;
-		onFileRemove?: (fileId: string) => void;
-		onFileUpload?: (files: File[]) => void;
-		onSend?: (message: string, files?: ChatUploadedFile[]) => Promise<boolean>;
+		placeholder?: string;
+		showMcpPromptButton?: boolean;
+
+		// Event Handlers
+		onAttachmentRemove?: (index: number) => void;
+		onFilesAdd?: (files: File[]) => void;
 		onStop?: () => void;
-		showHelperText?: boolean;
-		uploadedFiles?: ChatUploadedFile[];
+		onSubmit?: () => void;
+		onSystemPromptClick?: (draft: { message: string; files: ChatUploadedFile[] }) => void;
+		onUploadedFileRemove?: (fileId: string) => void;
+		onUploadedFilesChange?: (files: ChatUploadedFile[]) => void;
+		onValueChange?: (value: string) => void;
 	}
 
 	let {
-		class: className,
+		attachments = [],
+		class: className = '',
 		disabled = false,
 		isLoading = false,
-		onFileRemove,
-		onFileUpload,
-		onSend,
+		placeholder = 'Type a message...',
+		showMcpPromptButton = false,
+		uploadedFiles = $bindable([]),
+		value = $bindable(''),
+		onAttachmentRemove,
+		onFilesAdd,
 		onStop,
-		showHelperText = true,
-		uploadedFiles = $bindable([])
+		onSubmit,
+		onSystemPromptClick,
+		onUploadedFileRemove,
+		onUploadedFilesChange,
+		onValueChange
 	}: Props = $props();
 
+	/**
+	 *
+	 *
+	 * STATE
+	 *
+	 *
+	 */
+
+	// Component References
 	let audioRecorder: AudioRecorder | undefined;
 	let chatFormActionsRef: ChatFormActions | undefined = $state(undefined);
-	let currentConfig = $derived(config());
 	let fileInputRef: ChatFormFileInputInvisible | undefined = $state(undefined);
+	let promptPickerRef: ChatFormPromptPicker | undefined = $state(undefined);
+	let resourcePickerRef: ChatFormResourcePicker | undefined = $state(undefined);
+	let textareaRef: ChatFormTextarea | undefined = $state(undefined);
+
+	// Audio Recording State
 	let isRecording = $state(false);
-	let message = $state('');
+	let recordingSupported = $state(false);
+
+	// Prompt Picker State
+	let isPromptPickerOpen = $state(false);
+	let promptSearchQuery = $state('');
+
+	// Inline Resource Picker State (triggered by @)
+	let isInlineResourcePickerOpen = $state(false);
+	let resourceSearchQuery = $state('');
+
+	// Resource Dialog State
+	let isResourceDialogOpen = $state(false);
+	let preSelectedResourceUri = $state<string | undefined>(undefined);
+
+	/**
+	 *
+	 *
+	 * DERIVED STATE
+	 *
+	 *
+	 */
+
+	// Configuration
+	let currentConfig = $derived(config());
 	let pasteLongTextToFileLength = $derived.by(() => {
 		const n = Number(currentConfig.pasteLongTextToFileLen);
 		return Number.isNaN(n) ? Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen) : n;
 	});
-	let previousIsLoading = $state(isLoading);
-	let recordingSupported = $state(false);
-	let textareaRef: ChatFormTextarea | undefined = $state(undefined);
 
-	// Check if model is selected (in ROUTER mode)
+	// Model Selection Logic
+	let isRouter = $derived(isRouterMode());
 	let conversationModel = $derived(
 		chatStore.getConversationModel(activeMessages() as DatabaseMessage[])
 	);
-	let isRouter = $derived(isRouterMode());
-	let hasModelSelected = $derived(!isRouter || !!conversationModel || !!selectedModelId());
-
-	// Get active model ID for capability detection
 	let activeModelId = $derived.by(() => {
 		const options = modelOptions();
 
@@ -77,14 +144,12 @@
 			return options.length > 0 ? options[0].model : null;
 		}
 
-		// First try user-selected model
 		const selectedId = selectedModelId();
 		if (selectedId) {
 			const model = options.find((m) => m.id === selectedId);
 			if (model) return model.model;
 		}
 
-		// Fallback to conversation model
 		if (conversationModel) {
 			const model = options.find((m) => m.model === conversationModel);
 			if (model) return model.model;
@@ -93,46 +158,147 @@
 		return null;
 	});
 
-	function checkModelSelected(): boolean {
+	// Form Validation State
+	let hasModelSelected = $derived(!isRouter || !!conversationModel || !!selectedModelId());
+	let hasLoadingAttachments = $derived(uploadedFiles.some((f) => f.isLoading));
+	let hasAttachments = $derived(
+		(attachments && attachments.length > 0) || (uploadedFiles && uploadedFiles.length > 0)
+	);
+	let canSubmit = $derived(value.trim().length > 0 || hasAttachments);
+
+	/**
+	 *
+	 *
+	 * LIFECYCLE
+	 *
+	 *
+	 */
+
+	onMount(() => {
+		recordingSupported = isAudioRecordingSupported();
+		audioRecorder = new AudioRecorder();
+	});
+
+	/**
+	 *
+	 *
+	 * PUBLIC API
+	 *
+	 *
+	 */
+
+	export function focus() {
+		textareaRef?.focus();
+	}
+
+	export function resetTextareaHeight() {
+		textareaRef?.resetHeight();
+	}
+
+	export function openModelSelector() {
+		chatFormActionsRef?.openModelSelector();
+	}
+
+	/**
+	 * Check if a model is selected, open selector if not
+	 * @returns true if model is selected, false otherwise
+	 */
+	export function checkModelSelected(): boolean {
 		if (!hasModelSelected) {
-			// Open the model selector
 			chatFormActionsRef?.openModelSelector();
 			return false;
 		}
-
 		return true;
 	}
 
+	/**
+	 *
+	 *
+	 * EVENT HANDLERS - File Management
+	 *
+	 *
+	 */
+
 	function handleFileSelect(files: File[]) {
-		onFileUpload?.(files);
+		onFilesAdd?.(files);
 	}
 
 	function handleFileUpload() {
 		fileInputRef?.click();
 	}
 
-	async function handleKeydown(event: KeyboardEvent) {
-		if (event.key === 'Enter' && !event.shiftKey && !isIMEComposing(event)) {
-			event.preventDefault();
+	function handleFileRemove(fileId: string) {
+		if (fileId.startsWith('attachment-')) {
+			const index = parseInt(fileId.replace('attachment-', ''), 10);
+			if (!isNaN(index) && index >= 0 && index < attachments.length) {
+				onAttachmentRemove?.(index);
+			}
+		} else {
+			onUploadedFileRemove?.(fileId);
+		}
+	}
 
-			if ((!message.trim() && uploadedFiles.length === 0) || disabled || isLoading) return;
+	/**
+	 *
+	 *
+	 * EVENT HANDLERS - Input & Keyboard
+	 *
+	 *
+	 */
+
+	function handleInput() {
+		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
+		const hasServers = mcpStore.hasEnabledServers(perChatOverrides);
+
+		if (value.startsWith(PROMPT_TRIGGER_PREFIX) && hasServers) {
+			isPromptPickerOpen = true;
+			promptSearchQuery = value.slice(1);
+			isInlineResourcePickerOpen = false;
+			resourceSearchQuery = '';
+		} else if (
+			value.startsWith(RESOURCE_TRIGGER_PREFIX) &&
+			hasServers &&
+			mcpStore.hasResourcesCapability(perChatOverrides)
+		) {
+			isInlineResourcePickerOpen = true;
+			resourceSearchQuery = value.slice(1);
+			isPromptPickerOpen = false;
+			promptSearchQuery = '';
+		} else {
+			isPromptPickerOpen = false;
+			promptSearchQuery = '';
+			isInlineResourcePickerOpen = false;
+			resourceSearchQuery = '';
+		}
+	}
 
-			if (!checkModelSelected()) return;
+	function handleKeydown(event: KeyboardEvent) {
+		if (isPromptPickerOpen && promptPickerRef?.handleKeydown(event)) {
+			return;
+		}
 
-			const messageToSend = message.trim();
-			const filesToSend = [...uploadedFiles];
+		if (isInlineResourcePickerOpen && resourcePickerRef?.handleKeydown(event)) {
+			return;
+		}
 
-			message = '';
-			uploadedFiles = [];
+		if (event.key === KeyboardKey.ESCAPE && isPromptPickerOpen) {
+			isPromptPickerOpen = false;
+			promptSearchQuery = '';
+			return;
+		}
+
+		if (event.key === KeyboardKey.ESCAPE && isInlineResourcePickerOpen) {
+			isInlineResourcePickerOpen = false;
+			resourceSearchQuery = '';
+			return;
+		}
 
-			textareaRef?.resetHeight();
+		if (event.key === KeyboardKey.ENTER && !event.shiftKey && !isIMEComposing(event)) {
+			event.preventDefault();
 
-			const success = await onSend?.(messageToSend, filesToSend);
+			if (!canSubmit || disabled || isLoading || hasLoadingAttachments) return;
 
-			if (!success) {
-				message = messageToSend;
-				uploadedFiles = filesToSend;
-			}
+			onSubmit?.();
 		}
 	}
 
@@ -146,29 +312,53 @@
 
 		if (files.length > 0) {
 			event.preventDefault();
-			onFileUpload?.(files);
-
+			onFilesAdd?.(files);
 			return;
 		}
 
 		const text = event.clipboardData.getData(MimeTypeText.PLAIN);
 
-		if (text.startsWith('"')) {
+		if (text.startsWith(CLIPBOARD_CONTENT_QUOTE_PREFIX)) {
 			const parsed = parseClipboardContent(text);
 
-			if (parsed.textAttachments.length > 0) {
+			if (parsed.textAttachments.length > 0 || parsed.mcpPromptAttachments.length > 0) {
 				event.preventDefault();
-
-				message = parsed.message;
-
-				const attachmentFiles = parsed.textAttachments.map(
-					(att) =>
-						new File([att.content], att.name, {
+				value = parsed.message;
+				onValueChange?.(parsed.message);
+
+				// Handle text attachments as files
+				if (parsed.textAttachments.length > 0) {
+					const attachmentFiles = parsed.textAttachments.map(
+						(att) =>
+							new File([att.content], att.name, {
+								type: MimeTypeText.PLAIN
+							})
+					);
+					onFilesAdd?.(attachmentFiles);
+				}
+
+				// Handle MCP prompt attachments as ChatUploadedFile with mcpPrompt data
+				if (parsed.mcpPromptAttachments.length > 0) {
+					const mcpPromptFiles: ChatUploadedFile[] = parsed.mcpPromptAttachments.map((att) => ({
+						id: uuid(),
+						name: att.name,
+						size: att.content.length,
+						type: SpecialFileType.MCP_PROMPT,
+						file: new File([att.content], `${att.name}${FileExtensionText.TXT}`, {
 							type: MimeTypeText.PLAIN
-						})
-				);
-
-				onFileUpload?.(attachmentFiles);
+						}),
+						isLoading: false,
+						textContent: att.content,
+						mcpPrompt: {
+							serverName: att.serverName,
+							promptName: att.promptName,
+							arguments: att.arguments
+						}
+					}));
+
+					uploadedFiles = [...uploadedFiles, ...mcpPromptFiles];
+					onUploadedFilesChange?.(uploadedFiles);
+				}
 
 				setTimeout(() => {
 					textareaRef?.focus();
@@ -189,14 +379,145 @@
 				type: MimeTypeText.PLAIN
 			});
 
-			onFileUpload?.([textFile]);
+			onFilesAdd?.([textFile]);
+		}
+	}
+
+	/**
+	 *
+	 *
+	 * EVENT HANDLERS - Prompt Picker
+	 *
+	 *
+	 */
+
+	function handlePromptLoadStart(
+		placeholderId: string,
+		promptInfo: MCPPromptInfo,
+		args?: Record<string, string>
+	) {
+		// Only clear the value if the prompt was triggered by typing '/'
+		if (value.startsWith(PROMPT_TRIGGER_PREFIX)) {
+			value = '';
+			onValueChange?.('');
+		}
+		isPromptPickerOpen = false;
+		promptSearchQuery = '';
+
+		const promptName = promptInfo.title || promptInfo.name;
+		const placeholder: ChatUploadedFile = {
+			id: placeholderId,
+			name: promptName,
+			size: INITIAL_FILE_SIZE,
+			type: SpecialFileType.MCP_PROMPT,
+			file: new File([], 'loading'),
+			isLoading: true,
+			mcpPrompt: {
+				serverName: promptInfo.serverName,
+				promptName: promptInfo.name,
+				arguments: args ? { ...args } : undefined
+			}
+		};
+
+		uploadedFiles = [...uploadedFiles, placeholder];
+		onUploadedFilesChange?.(uploadedFiles);
+		textareaRef?.focus();
+	}
+
+	function handlePromptLoadComplete(placeholderId: string, result: GetPromptResult) {
+		const promptText = result.messages
+			?.map((msg: PromptMessage) => {
+				if (typeof msg.content === 'string') {
+					return msg.content;
+				}
+
+				if (msg.content.type === ContentPartType.TEXT) {
+					return msg.content.text;
+				}
+
+				return '';
+			})
+			.filter(Boolean)
+			.join(PROMPT_CONTENT_SEPARATOR);
+
+		uploadedFiles = uploadedFiles.map((f) =>
+			f.id === placeholderId
+				? {
+						...f,
+						isLoading: false,
+						textContent: promptText,
+						size: promptText.length,
+						file: new File([promptText], `${f.name}${FileExtensionText.TXT}`, {
+							type: MimeTypeText.PLAIN
+						})
+					}
+				: f
+		);
+		onUploadedFilesChange?.(uploadedFiles);
+	}
+
+	function handlePromptLoadError(placeholderId: string, error: string) {
+		uploadedFiles = uploadedFiles.map((f) =>
+			f.id === placeholderId ? { ...f, isLoading: false, loadError: error } : f
+		);
+		onUploadedFilesChange?.(uploadedFiles);
+	}
+
+	function handlePromptPickerClose() {
+		isPromptPickerOpen = false;
+		promptSearchQuery = '';
+		textareaRef?.focus();
+	}
+
+	/**
+	 *
+	 *
+	 * EVENT HANDLERS - Inline Resource Picker
+	 *
+	 *
+	 */
+
+	function handleInlineResourcePickerClose() {
+		isInlineResourcePickerOpen = false;
+		resourceSearchQuery = '';
+		textareaRef?.focus();
+	}
+
+	function handleInlineResourceSelect() {
+		// Clear the @query from input after resource is attached
+		if (value.startsWith(RESOURCE_TRIGGER_PREFIX)) {
+			value = '';
+			onValueChange?.('');
+		}
+
+		isInlineResourcePickerOpen = false;
+		resourceSearchQuery = '';
+		textareaRef?.focus();
+	}
+
+	function handleBrowseResources() {
+		isInlineResourcePickerOpen = false;
+		resourceSearchQuery = '';
+
+		if (value.startsWith(RESOURCE_TRIGGER_PREFIX)) {
+			value = '';
+			onValueChange?.('');
 		}
+
+		isResourceDialogOpen = true;
 	}
 
+	/**
+	 *
+	 *
+	 * EVENT HANDLERS - Audio Recording
+	 *
+	 *
+	 */
+
 	async function handleMicClick() {
 		if (!audioRecorder || !recordingSupported) {
 			console.warn('Audio recording not supported');
-
 			return;
 		}
 
@@ -206,7 +527,7 @@
 				const wavBlob = await convertToWav(audioBlob);
 				const audioFile = createAudioFile(wavBlob);
 
-				onFileUpload?.([audioFile]);
+				onFilesAdd?.([audioFile]);
 				isRecording = false;
 			} catch (error) {
 				console.error('Failed to stop recording:', error);
@@ -221,95 +542,109 @@
 			}
 		}
 	}
-
-	function handleStop() {
-		onStop?.();
-	}
-
-	async function handleSubmit(event: SubmitEvent) {
-		event.preventDefault();
-		if ((!message.trim() && uploadedFiles.length === 0) || disabled || isLoading) return;
-
-		// Check if model is selected first
-		if (!checkModelSelected()) return;
-
-		const messageToSend = message.trim();
-		const filesToSend = [...uploadedFiles];
-
-		message = '';
-		uploadedFiles = [];
-
-		textareaRef?.resetHeight();
-
-		const success = await onSend?.(messageToSend, filesToSend);
-
-		if (!success) {
-			message = messageToSend;
-			uploadedFiles = filesToSend;
-		}
-	}
-
-	onMount(() => {
-		setTimeout(() => textareaRef?.focus(), 10);
-		recordingSupported = isAudioRecordingSupported();
-		audioRecorder = new AudioRecorder();
-	});
-
-	afterNavigate(() => {
-		setTimeout(() => textareaRef?.focus(), 10);
-	});
-
-	$effect(() => {
-		if (previousIsLoading && !isLoading) {
-			setTimeout(() => textareaRef?.focus(), 10);
-		}
-
-		previousIsLoading = isLoading;
-	});
 </script>
 
 <ChatFormFileInputInvisible bind:this={fileInputRef} onFileSelect={handleFileSelect} />
 
 <form
-	onsubmit={handleSubmit}
-	class="{INPUT_CLASSES} border-radius-bottom-none mx-auto max-w-[48rem] overflow-hidden rounded-3xl backdrop-blur-md {disabled
-		? 'cursor-not-allowed opacity-60'
-		: ''} {className}"
-	data-slot="chat-form"
+	class="relative {className}"
+	onsubmit={(e) => {
+		e.preventDefault();
+		if (!canSubmit || disabled || isLoading || hasLoadingAttachments) return;
+		onSubmit?.();
+	}}
 >
-	<ChatAttachmentsList
-		bind:uploadedFiles
-		{onFileRemove}
-		limitToSingleRow
-		class="py-5"
-		style="scroll-padding: 1rem;"
-		activeModelId={activeModelId ?? undefined}
+	<ChatFormPromptPicker
+		bind:this={promptPickerRef}
+		isOpen={isPromptPickerOpen}
+		searchQuery={promptSearchQuery}
+		onClose={handlePromptPickerClose}
+		onPromptLoadStart={handlePromptLoadStart}
+		onPromptLoadComplete={handlePromptLoadComplete}
+		onPromptLoadError={handlePromptLoadError}
+	/>
+
+	<ChatFormResourcePicker
+		bind:this={resourcePickerRef}
+		isOpen={isInlineResourcePickerOpen}
+		searchQuery={resourceSearchQuery}
+		onClose={handleInlineResourcePickerClose}
+		onResourceSelect={handleInlineResourceSelect}
+		onBrowse={handleBrowseResources}
 	/>
 
 	<div
-		class="flex-column relative min-h-[48px] items-center rounded-3xl px-5 py-3 shadow-sm transition-all focus-within:shadow-md"
-		onpaste={handlePaste}
+		class="{INPUT_CLASSES} overflow-hidden rounded-3xl backdrop-blur-md {disabled
+			? 'cursor-not-allowed opacity-60'
+			: ''}"
+		data-slot="input-area"
 	>
-		<ChatFormTextarea
-			bind:this={textareaRef}
-			bind:value={message}
-			onKeydown={handleKeydown}
-			{disabled}
+		<ChatAttachmentsList
+			{attachments}
+			bind:uploadedFiles
+			onFileRemove={handleFileRemove}
+			limitToSingleRow
+			class="py-5"
+			style="scroll-padding: 1rem;"
+			activeModelId={activeModelId ?? undefined}
 		/>
 
-		<ChatFormActions
-			bind:this={chatFormActionsRef}
-			canSend={message.trim().length > 0 || uploadedFiles.length > 0}
-			hasText={message.trim().length > 0}
-			{disabled}
-			{isLoading}
-			{isRecording}
-			{uploadedFiles}
-			onFileUpload={handleFileUpload}
-			onMicClick={handleMicClick}
-			onStop={handleStop}
-		/>
+		<div
+			class="flex-column relative min-h-[48px] items-center rounded-3xl py-2 pb-2.25 shadow-sm transition-all focus-within:shadow-md md:!py-3"
+			onpaste={handlePaste}
+		>
+			<ChatFormTextarea
+				class="px-5 py-1.5 md:pt-0"
+				bind:this={textareaRef}
+				bind:value
+				onKeydown={handleKeydown}
+				onInput={() => {
+					handleInput();
+					onValueChange?.(value);
+				}}
+				{disabled}
+				{placeholder}
+			/>
+
+			{#if mcpHasResourceAttachments()}
+				<ChatAttachmentMcpResources
+					class="mb-3"
+					onResourceClick={(uri) => {
+						preSelectedResourceUri = uri;
+						isResourceDialogOpen = true;
+					}}
+				/>
+			{/if}
+
+			<ChatFormActions
+				class="px-3"
+				bind:this={chatFormActionsRef}
+				canSend={canSubmit}
+				hasText={value.trim().length > 0}
+				{disabled}
+				{isLoading}
+				{isRecording}
+				{uploadedFiles}
+				onFileUpload={handleFileUpload}
+				onMicClick={handleMicClick}
+				{onStop}
+				onSystemPromptClick={() => onSystemPromptClick?.({ message: value, files: uploadedFiles })}
+				onMcpPromptClick={showMcpPromptButton ? () => (isPromptPickerOpen = true) : undefined}
+				onMcpResourcesClick={() => (isResourceDialogOpen = true)}
+			/>
+		</div>
 	</div>
 </form>
 
-<ChatFormHelperText show={showHelperText} />
+<DialogMcpResources
+	bind:open={isResourceDialogOpen}
+	preSelectedUri={preSelectedResourceUri}
+	onAttach={(resource: MCPResourceInfo) => {
+		mcpStore.attachResource(resource.uri);
+	}}
+	onOpenChange={(newOpen: boolean) => {
+		if (!newOpen) {
+			preSelectedResourceUri = undefined;
+		}
+	}}
+/>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte
new file mode 100644
index 00000000000..81b55513d32
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte
@@ -0,0 +1,333 @@
+<script lang="ts">
+	import { page } from '$app/state';
+	import { Plus, MessageSquare, Settings, Zap, FolderOpen } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import { Switch } from '$lib/components/ui/switch';
+	import { FILE_TYPE_ICONS, TOOLTIP_DELAY_DURATION } from '$lib/constants';
+	import { McpLogo, DropdownMenuSearchable } from '$lib/components/app';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+
+	import { HealthCheckStatus } from '$lib/enums';
+	import type { MCPServerSettingsEntry } from '$lib/types';
+
+	interface Props {
+		class?: string;
+		disabled?: boolean;
+		hasAudioModality?: boolean;
+		hasVisionModality?: boolean;
+		hasMcpPromptsSupport?: boolean;
+		hasMcpResourcesSupport?: boolean;
+		onFileUpload?: () => void;
+		onSystemPromptClick?: () => void;
+		onMcpPromptClick?: () => void;
+		onMcpSettingsClick?: () => void;
+		onMcpResourcesClick?: () => void;
+	}
+
+	let {
+		class: className = '',
+		disabled = false,
+		hasAudioModality = false,
+		hasVisionModality = false,
+		hasMcpPromptsSupport = false,
+		hasMcpResourcesSupport = false,
+		onFileUpload,
+		onSystemPromptClick,
+		onMcpPromptClick,
+		onMcpSettingsClick,
+		onMcpResourcesClick
+	}: Props = $props();
+
+	let isNewChat = $derived(!page.params.id);
+
+	let systemMessageTooltip = $derived(
+		isNewChat
+			? 'Add custom system message for a new conversation'
+			: 'Inject custom system message at the beginning of the conversation'
+	);
+
+	let dropdownOpen = $state(false);
+
+	let mcpServers = $derived(mcpStore.getServersSorted().filter((s) => s.enabled));
+	let hasMcpServers = $derived(mcpServers.length > 0);
+	let mcpSearchQuery = $state('');
+	let filteredMcpServers = $derived.by(() => {
+		const query = mcpSearchQuery.toLowerCase().trim();
+		if (!query) return mcpServers;
+		return mcpServers.filter((s) => {
+			const name = getServerLabel(s).toLowerCase();
+			const url = s.url.toLowerCase();
+			return name.includes(query) || url.includes(query);
+		});
+	});
+
+	function getServerLabel(server: MCPServerSettingsEntry): string {
+		return mcpStore.getServerLabel(server);
+	}
+
+	function isServerEnabledForChat(serverId: string): boolean {
+		return conversationsStore.isMcpServerEnabledForChat(serverId);
+	}
+
+	async function toggleServerForChat(serverId: string) {
+		await conversationsStore.toggleMcpServerForChat(serverId);
+	}
+
+	function handleMcpSubMenuOpen(open: boolean) {
+		if (open) {
+			mcpSearchQuery = '';
+			mcpStore.runHealthChecksForServers(mcpServers);
+		}
+	}
+
+	function handleMcpPromptClick() {
+		dropdownOpen = false;
+		onMcpPromptClick?.();
+	}
+
+	function handleMcpSettingsClick() {
+		dropdownOpen = false;
+		onMcpSettingsClick?.();
+	}
+
+	function handleMcpResourcesClick() {
+		dropdownOpen = false;
+		onMcpResourcesClick?.();
+	}
+
+	const fileUploadTooltipText = 'Add files, system prompt or MCP Servers';
+</script>
+
+<div class="flex items-center gap-1 {className}">
+	<DropdownMenu.Root bind:open={dropdownOpen}>
+		<DropdownMenu.Trigger name="Attach files" {disabled}>
+			<Tooltip.Root>
+				<Tooltip.Trigger class="w-full">
+					<Button
+						class="file-upload-button h-8 w-8 rounded-full p-0"
+						{disabled}
+						variant="secondary"
+						type="button"
+					>
+						<span class="sr-only">{fileUploadTooltipText}</span>
+
+						<Plus class="h-4 w-4" />
+					</Button>
+				</Tooltip.Trigger>
+
+				<Tooltip.Content>
+					<p>{fileUploadTooltipText}</p>
+				</Tooltip.Content>
+			</Tooltip.Root>
+		</DropdownMenu.Trigger>
+
+		<DropdownMenu.Content align="start" class="w-48">
+			{#if hasVisionModality}
+				<DropdownMenu.Item
+					class="images-button flex cursor-pointer items-center gap-2"
+					onclick={() => onFileUpload?.()}
+				>
+					<FILE_TYPE_ICONS.image class="h-4 w-4" />
+
+					<span>Images</span>
+				</DropdownMenu.Item>
+			{:else}
+				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+					<Tooltip.Trigger class="w-full">
+						<DropdownMenu.Item
+							class="images-button flex cursor-pointer items-center gap-2"
+							disabled
+						>
+							<FILE_TYPE_ICONS.image class="h-4 w-4" />
+
+							<span>Images</span>
+						</DropdownMenu.Item>
+					</Tooltip.Trigger>
+
+					<Tooltip.Content side="right">
+						<p>Images require vision models to be processed</p>
+					</Tooltip.Content>
+				</Tooltip.Root>
+			{/if}
+
+			{#if hasAudioModality}
+				<DropdownMenu.Item
+					class="audio-button flex cursor-pointer items-center gap-2"
+					onclick={() => onFileUpload?.()}
+				>
+					<FILE_TYPE_ICONS.audio class="h-4 w-4" />
+
+					<span>Audio Files</span>
+				</DropdownMenu.Item>
+			{:else}
+				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+					<Tooltip.Trigger class="w-full">
+						<DropdownMenu.Item class="audio-button flex cursor-pointer items-center gap-2" disabled>
+							<FILE_TYPE_ICONS.audio class="h-4 w-4" />
+
+							<span>Audio Files</span>
+						</DropdownMenu.Item>
+					</Tooltip.Trigger>
+
+					<Tooltip.Content side="right">
+						<p>Audio files require audio models to be processed</p>
+					</Tooltip.Content>
+				</Tooltip.Root>
+			{/if}
+
+			<DropdownMenu.Item
+				class="flex cursor-pointer items-center gap-2"
+				onclick={() => onFileUpload?.()}
+			>
+				<FILE_TYPE_ICONS.text class="h-4 w-4" />
+
+				<span>Text Files</span>
+			</DropdownMenu.Item>
+
+			{#if hasVisionModality}
+				<DropdownMenu.Item
+					class="flex cursor-pointer items-center gap-2"
+					onclick={() => onFileUpload?.()}
+				>
+					<FILE_TYPE_ICONS.pdf class="h-4 w-4" />
+
+					<span>PDF Files</span>
+				</DropdownMenu.Item>
+			{:else}
+				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+					<Tooltip.Trigger class="w-full">
+						<DropdownMenu.Item
+							class="flex cursor-pointer items-center gap-2"
+							onclick={() => onFileUpload?.()}
+						>
+							<FILE_TYPE_ICONS.pdf class="h-4 w-4" />
+
+							<span>PDF Files</span>
+						</DropdownMenu.Item>
+					</Tooltip.Trigger>
+
+					<Tooltip.Content side="right">
+						<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>
+					</Tooltip.Content>
+				</Tooltip.Root>
+			{/if}
+
+			<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+				<Tooltip.Trigger class="w-full">
+					<DropdownMenu.Item
+						class="flex cursor-pointer items-center gap-2"
+						onclick={() => onSystemPromptClick?.()}
+					>
+						<MessageSquare class="h-4 w-4" />
+
+						<span>System Message</span>
+					</DropdownMenu.Item>
+				</Tooltip.Trigger>
+
+				<Tooltip.Content side="right">
+					<p>{systemMessageTooltip}</p>
+				</Tooltip.Content>
+			</Tooltip.Root>
+
+			<DropdownMenu.Separator />
+
+			<DropdownMenu.Sub onOpenChange={handleMcpSubMenuOpen}>
+				<DropdownMenu.SubTrigger class="flex cursor-pointer items-center gap-2">
+					<McpLogo class="h-4 w-4" />
+
+					<span>MCP Servers</span>
+				</DropdownMenu.SubTrigger>
+
+				<DropdownMenu.SubContent class="w-72 pt-0">
+					<DropdownMenuSearchable
+						placeholder="Search servers..."
+						bind:searchValue={mcpSearchQuery}
+						emptyMessage={hasMcpServers ? 'No servers found' : 'No MCP servers configured'}
+						isEmpty={filteredMcpServers.length === 0}
+					>
+						<div class="max-h-64 overflow-y-auto">
+							{#each filteredMcpServers as server (server.id)}
+								{@const healthState = mcpStore.getHealthCheckState(server.id)}
+								{@const hasError = healthState.status === HealthCheckStatus.ERROR}
+								{@const isEnabledForChat = isServerEnabledForChat(server.id)}
+
+								<button
+									type="button"
+									class="flex w-full items-center justify-between gap-2 rounded-sm px-2 py-2 text-left transition-colors hover:bg-accent disabled:cursor-not-allowed disabled:opacity-50"
+									onclick={() => !hasError && toggleServerForChat(server.id)}
+									disabled={hasError}
+								>
+									<div class="flex min-w-0 flex-1 items-center gap-2">
+										{#if mcpStore.getServerFavicon(server.id)}
+											<img
+												src={mcpStore.getServerFavicon(server.id)}
+												alt=""
+												class="h-4 w-4 shrink-0 rounded-sm"
+												onerror={(e) => {
+													(e.currentTarget as HTMLImageElement).style.display = 'none';
+												}}
+											/>
+										{/if}
+
+										<span class="truncate text-sm">{getServerLabel(server)}</span>
+
+										{#if hasError}
+											<span
+												class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive"
+											>
+												Error
+											</span>
+										{/if}
+									</div>
+
+									<Switch
+										checked={isEnabledForChat}
+										disabled={hasError}
+										onclick={(e: MouseEvent) => e.stopPropagation()}
+										onCheckedChange={() => toggleServerForChat(server.id)}
+									/>
+								</button>
+							{/each}
+						</div>
+
+						{#snippet footer()}
+							<DropdownMenu.Item
+								class="flex cursor-pointer items-center gap-2"
+								onclick={handleMcpSettingsClick}
+							>
+								<Settings class="h-4 w-4" />
+
+								<span>Manage MCP Servers</span>
+							</DropdownMenu.Item>
+						{/snippet}
+					</DropdownMenuSearchable>
+				</DropdownMenu.SubContent>
+			</DropdownMenu.Sub>
+
+			{#if hasMcpPromptsSupport}
+				<DropdownMenu.Item
+					class="flex cursor-pointer items-center gap-2"
+					onclick={handleMcpPromptClick}
+				>
+					<Zap class="h-4 w-4" />
+
+					<span>MCP Prompt</span>
+				</DropdownMenu.Item>
+			{/if}
+
+			{#if hasMcpResourcesSupport}
+				<DropdownMenu.Item
+					class="flex cursor-pointer items-center gap-2"
+					onclick={handleMcpResourcesClick}
+				>
+					<FolderOpen class="h-4 w-4" />
+
+					<span>MCP Resources</span>
+				</DropdownMenu.Item>
+			{/if}
+		</DropdownMenu.Content>
+	</DropdownMenu.Root>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte
new file mode 100644
index 00000000000..bf643dd7f25
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte
@@ -0,0 +1,170 @@
+<script lang="ts">
+	import { Plus, MessageSquare, Zap, FolderOpen } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import * as Sheet from '$lib/components/ui/sheet';
+	import { FILE_TYPE_ICONS } from '$lib/constants';
+	import { McpLogo } from '$lib/components/app';
+
+	interface Props {
+		class?: string;
+		disabled?: boolean;
+		hasAudioModality?: boolean;
+		hasVisionModality?: boolean;
+		hasMcpPromptsSupport?: boolean;
+		hasMcpResourcesSupport?: boolean;
+		onFileUpload?: () => void;
+		onSystemPromptClick?: () => void;
+		onMcpPromptClick?: () => void;
+		onMcpSettingsClick?: () => void;
+		onMcpResourcesClick?: () => void;
+	}
+
+	let {
+		class: className = '',
+		disabled = false,
+		hasAudioModality = false,
+		hasVisionModality = false,
+		hasMcpPromptsSupport = false,
+		hasMcpResourcesSupport = false,
+		onFileUpload,
+		onSystemPromptClick,
+		onMcpPromptClick,
+		onMcpSettingsClick,
+		onMcpResourcesClick
+	}: Props = $props();
+
+	let sheetOpen = $state(false);
+
+	function handleMcpPromptClick() {
+		sheetOpen = false;
+		onMcpPromptClick?.();
+	}
+
+	function handleMcpSettingsClick() {
+		onMcpSettingsClick?.();
+	}
+
+	function handleMcpResourcesClick() {
+		sheetOpen = false;
+		onMcpResourcesClick?.();
+	}
+
+	function handleSheetFileUpload() {
+		sheetOpen = false;
+		onFileUpload?.();
+	}
+
+	function handleSheetSystemPromptClick() {
+		sheetOpen = false;
+		onSystemPromptClick?.();
+	}
+
+	const fileUploadTooltipText = 'Add files, system prompt or MCP Servers';
+
+	const sheetItemClass =
+		'flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:cursor-not-allowed disabled:opacity-50';
+</script>
+
+<div class="flex items-center gap-1 {className}">
+	<Sheet.Root bind:open={sheetOpen}>
+		<Button
+			class="file-upload-button h-8 w-8 rounded-full p-0"
+			{disabled}
+			variant="secondary"
+			type="button"
+			onclick={() => (sheetOpen = true)}
+		>
+			<span class="sr-only">{fileUploadTooltipText}</span>
+
+			<Plus class="h-4 w-4" />
+		</Button>
+
+		<Sheet.Content side="bottom" class="max-h-[85vh] gap-0">
+			<Sheet.Header>
+				<Sheet.Title>Add to chat</Sheet.Title>
+
+				<Sheet.Description class="sr-only">
+					Add files, system prompt or configure MCP servers
+				</Sheet.Description>
+			</Sheet.Header>
+
+			<div class="flex flex-col gap-1 overflow-y-auto px-1.5 pb-2">
+				<!-- Images -->
+				<button
+					type="button"
+					class={sheetItemClass}
+					disabled={!hasVisionModality}
+					onclick={handleSheetFileUpload}
+				>
+					<FILE_TYPE_ICONS.image class="h-4 w-4 shrink-0" />
+
+					<span>Images</span>
+
+					{#if !hasVisionModality}
+						<span class="ml-auto text-xs text-muted-foreground">Requires vision model</span>
+					{/if}
+				</button>
+
+				<!-- Audio -->
+				<button
+					type="button"
+					class={sheetItemClass}
+					disabled={!hasAudioModality}
+					onclick={handleSheetFileUpload}
+				>
+					<FILE_TYPE_ICONS.audio class="h-4 w-4 shrink-0" />
+
+					<span>Audio Files</span>
+
+					{#if !hasAudioModality}
+						<span class="ml-auto text-xs text-muted-foreground">Requires audio model</span>
+					{/if}
+				</button>
+
+				<button type="button" class={sheetItemClass} onclick={handleSheetFileUpload}>
+					<FILE_TYPE_ICONS.text class="h-4 w-4 shrink-0" />
+
+					<span>Text Files</span>
+				</button>
+
+				<button type="button" class={sheetItemClass} onclick={handleSheetFileUpload}>
+					<FILE_TYPE_ICONS.pdf class="h-4 w-4 shrink-0" />
+
+					<span>PDF Files</span>
+
+					{#if !hasVisionModality}
+						<span class="ml-auto text-xs text-muted-foreground">Text-only</span>
+					{/if}
+				</button>
+
+				<button type="button" class={sheetItemClass} onclick={handleSheetSystemPromptClick}>
+					<MessageSquare class="h-4 w-4 shrink-0" />
+
+					<span>System Message</span>
+				</button>
+
+				<button type="button" class={sheetItemClass} onclick={handleMcpSettingsClick}>
+					<McpLogo class="h-4 w-4 shrink-0" />
+
+					<span>MCP Servers</span>
+				</button>
+
+				{#if hasMcpPromptsSupport}
+					<button type="button" class={sheetItemClass} onclick={handleMcpPromptClick}>
+						<Zap class="h-4 w-4 shrink-0" />
+
+						<span>MCP Prompt</span>
+					</button>
+				{/if}
+
+				{#if hasMcpResourcesSupport}
+					<button type="button" class={sheetItemClass} onclick={handleMcpResourcesClick}>
+						<FolderOpen class="h-4 w-4 shrink-0" />
+
+						<span>MCP Resources</span>
+					</button>
+				{/if}
+			</div>
+		</Sheet.Content>
+	</Sheet.Root>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionFileAttachments.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionFileAttachments.svelte
deleted file mode 100644
index dd372680964..00000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionFileAttachments.svelte
+++ /dev/null
@@ -1,123 +0,0 @@
-<script lang="ts">
-	import { Paperclip } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
-	import * as Tooltip from '$lib/components/ui/tooltip';
-	import { FILE_TYPE_ICONS } from '$lib/constants/icons';
-
-	interface Props {
-		class?: string;
-		disabled?: boolean;
-		hasAudioModality?: boolean;
-		hasVisionModality?: boolean;
-		onFileUpload?: () => void;
-	}
-
-	let {
-		class: className = '',
-		disabled = false,
-		hasAudioModality = false,
-		hasVisionModality = false,
-		onFileUpload
-	}: Props = $props();
-
-	const fileUploadTooltipText = $derived.by(() => {
-		return !hasVisionModality
-			? 'Text files and PDFs supported. Images, audio, and video require vision models.'
-			: 'Attach files';
-	});
-</script>
-
-<div class="flex items-center gap-1 {className}">
-	<DropdownMenu.Root>
-		<DropdownMenu.Trigger name="Attach files" {disabled}>
-			<Tooltip.Root>
-				<Tooltip.Trigger>
-					<Button
-						class="file-upload-button h-8 w-8 rounded-full bg-transparent p-0 text-muted-foreground hover:bg-foreground/10 hover:text-foreground"
-						{disabled}
-						type="button"
-					>
-						<span class="sr-only">Attach files</span>
-
-						<Paperclip class="h-4 w-4" />
-					</Button>
-				</Tooltip.Trigger>
-
-				<Tooltip.Content>
-					<p>{fileUploadTooltipText}</p>
-				</Tooltip.Content>
-			</Tooltip.Root>
-		</DropdownMenu.Trigger>
-
-		<DropdownMenu.Content align="start" class="w-48">
-			<Tooltip.Root>
-				<Tooltip.Trigger class="w-full">
-					<DropdownMenu.Item
-						class="images-button flex cursor-pointer items-center gap-2"
-						disabled={!hasVisionModality}
-						onclick={() => onFileUpload?.()}
-					>
-						<FILE_TYPE_ICONS.image class="h-4 w-4" />
-
-						<span>Images</span>
-					</DropdownMenu.Item>
-				</Tooltip.Trigger>
-
-				{#if !hasVisionModality}
-					<Tooltip.Content>
-						<p>Images require vision models to be processed</p>
-					</Tooltip.Content>
-				{/if}
-			</Tooltip.Root>
-
-			<Tooltip.Root>
-				<Tooltip.Trigger class="w-full">
-					<DropdownMenu.Item
-						class="audio-button flex cursor-pointer items-center gap-2"
-						disabled={!hasAudioModality}
-						onclick={() => onFileUpload?.()}
-					>
-						<FILE_TYPE_ICONS.audio class="h-4 w-4" />
-
-						<span>Audio Files</span>
-					</DropdownMenu.Item>
-				</Tooltip.Trigger>
-
-				{#if !hasAudioModality}
-					<Tooltip.Content>
-						<p>Audio files require audio models to be processed</p>
-					</Tooltip.Content>
-				{/if}
-			</Tooltip.Root>
-
-			<DropdownMenu.Item
-				class="flex cursor-pointer items-center gap-2"
-				onclick={() => onFileUpload?.()}
-			>
-				<FILE_TYPE_ICONS.text class="h-4 w-4" />
-
-				<span>Text Files</span>
-			</DropdownMenu.Item>
-
-			<Tooltip.Root>
-				<Tooltip.Trigger class="w-full">
-					<DropdownMenu.Item
-						class="flex cursor-pointer items-center gap-2"
-						onclick={() => onFileUpload?.()}
-					>
-						<FILE_TYPE_ICONS.pdf class="h-4 w-4" />
-
-						<span>PDF Files</span>
-					</DropdownMenu.Item>
-				</Tooltip.Trigger>
-
-				{#if !hasVisionModality}
-					<Tooltip.Content>
-						<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>
-					</Tooltip.Content>
-				{/if}
-			</Tooltip.Root>
-		</DropdownMenu.Content>
-	</DropdownMenu.Root>
-</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
index dde9bda2d8f..2ad830e18f8 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
@@ -2,19 +2,25 @@
 	import { Square } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import {
-		ChatFormActionFileAttachments,
+		ChatFormActionAttachmentsDropdown,
+		ChatFormActionAttachmentsSheet,
 		ChatFormActionRecord,
 		ChatFormActionSubmit,
-		ModelsSelector
+		McpServersSelector,
+		ModelsSelector,
+		ModelsSelectorSheet
 	} from '$lib/components/app';
+	import { DialogChatSettings } from '$lib/components/app/dialogs';
+	import { SETTINGS_SECTION_TITLES } from '$lib/constants';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import { FileTypeCategory } from '$lib/enums';
 	import { getFileTypeCategory } from '$lib/utils';
 	import { config } from '$lib/stores/settings.svelte';
 	import { modelsStore, modelOptions, selectedModelId } from '$lib/stores/models.svelte';
-	import { isRouterMode } from '$lib/stores/server.svelte';
+	import { isRouterMode, serverError } from '$lib/stores/server.svelte';
 	import { chatStore } from '$lib/stores/chat.svelte';
-	import { activeMessages, usedModalities } from '$lib/stores/conversations.svelte';
-	import { useModelChangeValidation } from '$lib/hooks/use-model-change-validation.svelte';
+	import { activeMessages, conversationsStore } from '$lib/stores/conversations.svelte';
+	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
 
 	interface Props {
 		canSend?: boolean;
@@ -27,6 +33,9 @@
 		onFileUpload?: () => void;
 		onMicClick?: () => void;
 		onStop?: () => void;
+		onSystemPromptClick?: () => void;
+		onMcpPromptClick?: () => void;
+		onMcpResourcesClick?: () => void;
 	}
 
 	let {
@@ -39,22 +48,26 @@
 		uploadedFiles = [],
 		onFileUpload,
 		onMicClick,
-		onStop
+		onStop,
+		onSystemPromptClick,
+		onMcpPromptClick,
+		onMcpResourcesClick
 	}: Props = $props();
 
 	let currentConfig = $derived(config());
 	let isRouter = $derived(isRouterMode());
+	let isOffline = $derived(!!serverError());
 
 	let conversationModel = $derived(
 		chatStore.getConversationModel(activeMessages() as DatabaseMessage[])
 	);
 
-	let previousConversationModel: string | null = null;
-
 	$effect(() => {
-		if (conversationModel && conversationModel !== previousConversationModel) {
-			previousConversationModel = conversationModel;
+		if (conversationModel) {
 			modelsStore.selectModelByName(conversationModel);
+		} else if (isRouter && modelsStore.loadedModelIds.length > 0) {
+			const first = modelOptions().find((m) => modelsStore.loadedModelIds.includes(m.model));
+			if (first) modelsStore.selectModelById(first.id);
 		}
 	});
 
@@ -147,48 +160,97 @@
 		return '';
 	});
 
-	let selectorModelRef: ModelsSelector | undefined = $state(undefined);
+	let selectorModelRef: ModelsSelector | ModelsSelectorSheet | undefined = $state(undefined);
+
+	let isMobile = new IsMobile();
 
 	export function openModelSelector() {
 		selectorModelRef?.open();
 	}
 
-	const { handleModelChange } = useModelChangeValidation({
-		getRequiredModalities: () => usedModalities(),
-		onValidationFailure: async (previousModelId) => {
-			if (previousModelId) {
-				await modelsStore.selectModelById(previousModelId);
-			}
-		}
+	let showChatSettingsDialogWithMcpSection = $state(false);
+
+	let hasMcpPromptsSupport = $derived.by(() => {
+		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
+
+		return mcpStore.hasPromptsCapability(perChatOverrides);
+	});
+
+	let hasMcpResourcesSupport = $derived.by(() => {
+		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
+
+		return mcpStore.hasResourcesCapability(perChatOverrides);
 	});
 </script>
 
 <div class="flex w-full items-center gap-3 {className}" style="container-type: inline-size">
-	<ChatFormActionFileAttachments
-		class="mr-auto"
-		{disabled}
-		{hasAudioModality}
-		{hasVisionModality}
-		{onFileUpload}
-	/>
-
-	<ModelsSelector
-		{disabled}
-		bind:this={selectorModelRef}
-		currentModel={conversationModel}
-		forceForegroundText={true}
-		useGlobalSelection={true}
-		onModelChange={handleModelChange}
-	/>
+	<div class="mr-auto flex items-center gap-2">
+		{#if isMobile.current}
+			<ChatFormActionAttachmentsSheet
+				{disabled}
+				{hasAudioModality}
+				{hasVisionModality}
+				{hasMcpPromptsSupport}
+				{hasMcpResourcesSupport}
+				{onFileUpload}
+				{onSystemPromptClick}
+				{onMcpPromptClick}
+				{onMcpResourcesClick}
+				onMcpSettingsClick={() => (showChatSettingsDialogWithMcpSection = true)}
+			/>
+		{:else}
+			<ChatFormActionAttachmentsDropdown
+				{disabled}
+				{hasAudioModality}
+				{hasVisionModality}
+				{hasMcpPromptsSupport}
+				{hasMcpResourcesSupport}
+				{onFileUpload}
+				{onSystemPromptClick}
+				{onMcpPromptClick}
+				{onMcpResourcesClick}
+				onMcpSettingsClick={() => (showChatSettingsDialogWithMcpSection = true)}
+			/>
+		{/if}
+
+		<McpServersSelector
+			{disabled}
+			onSettingsClick={() => (showChatSettingsDialogWithMcpSection = true)}
+		/>
+	</div>
+
+	<div class="ml-auto flex items-center gap-1.5">
+		{#if isMobile.current}
+			<ModelsSelectorSheet
+				disabled={disabled || isOffline}
+				bind:this={selectorModelRef}
+				currentModel={conversationModel}
+				forceForegroundText
+				useGlobalSelection
+			/>
+		{:else}
+			<ModelsSelector
+				disabled={disabled || isOffline}
+				bind:this={selectorModelRef}
+				currentModel={conversationModel}
+				forceForegroundText
+				useGlobalSelection
+			/>
+		{/if}
+	</div>
 
 	{#if isLoading}
 		<Button
 			type="button"
+			variant="secondary"
 			onclick={onStop}
-			class="h-8 w-8 bg-transparent p-0 hover:bg-destructive/20"
+			class="group h-8 w-8 rounded-full p-0 hover:bg-destructive/10!"
 		>
 			<span class="sr-only">Stop</span>
-			<Square class="h-8 w-8 fill-destructive stroke-destructive" />
+
+			<Square
+				class="h-8 w-8 fill-muted-foreground stroke-muted-foreground group-hover:fill-destructive group-hover:stroke-destructive hover:fill-destructive hover:stroke-destructive"
+			/>
 		</Button>
 	{:else if shouldShowRecordButton}
 		<ChatFormActionRecord {disabled} {hasAudioModality} {isLoading} {isRecording} {onMicClick} />
@@ -202,3 +264,9 @@
 		/>
 	{/if}
 </div>
+
+<DialogChatSettings
+	open={showChatSettingsDialogWithMcpSection}
+	onOpenChange={(open) => (showChatSettingsDialogWithMcpSection = open)}
+	initialSection={SETTINGS_SECTION_TITLES.MCP}
+/>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
index f8246f249c3..a8f1f76c7cf 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
@@ -8,7 +8,7 @@
 </script>
 
 {#if show}
-	<div class="mt-4 flex items-center justify-center {className}">
+	<div class="mt-6 items-center justify-center {className} hidden md:flex">
 		<p class="text-xs text-muted-foreground">
 			Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Enter</kbd> to send,
 			<kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Shift + Enter</kbd> for new line
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte
new file mode 100644
index 00000000000..11ca52049b0
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte
@@ -0,0 +1,55 @@
+<script lang="ts">
+	import type { Snippet } from 'svelte';
+	import type { MCPServerSettingsEntry } from '$lib/types';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+
+	interface Props {
+		server: MCPServerSettingsEntry | undefined;
+		serverLabel: string;
+		title: string;
+		description?: string;
+		titleExtra?: Snippet;
+		subtitle?: Snippet;
+	}
+
+	let { server, serverLabel, title, description, titleExtra, subtitle }: Props = $props();
+
+	let faviconUrl = $derived(server ? mcpStore.getServerFavicon(server.id) : null);
+</script>
+
+<div class="min-w-0 flex-1">
+	<div class="mb-0.5 flex items-center gap-1.5 text-xs text-muted-foreground">
+		{#if faviconUrl}
+			<img
+				src={faviconUrl}
+				alt=""
+				class="h-3 w-3 shrink-0 rounded-sm"
+				onerror={(e) => {
+					(e.currentTarget as HTMLImageElement).style.display = 'none';
+				}}
+			/>
+		{/if}
+
+		<span>{serverLabel}</span>
+	</div>
+
+	<div class="flex items-center gap-2">
+		<span class="font-medium">
+			{title}
+		</span>
+
+		{#if titleExtra}
+			{@render titleExtra()}
+		{/if}
+	</div>
+
+	{#if description}
+		<p class="mt-0.5 truncate text-sm text-muted-foreground">
+			{description}
+		</p>
+	{/if}
+
+	{#if subtitle}
+		{@render subtitle()}
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte
new file mode 100644
index 00000000000..1a95cd7f6d2
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte
@@ -0,0 +1,82 @@
+<script lang="ts" generics="T">
+	import type { Snippet } from 'svelte';
+	import { SearchInput } from '$lib/components/app';
+	import ScrollArea from '$lib/components/ui/scroll-area/scroll-area.svelte';
+	import { CHAT_FORM_POPOVER_MAX_HEIGHT } from '$lib/constants';
+
+	interface Props {
+		items: T[];
+		isLoading: boolean;
+		selectedIndex: number;
+		searchQuery: string;
+		showSearchInput: boolean;
+		searchPlaceholder?: string;
+		emptyMessage?: string;
+		itemKey: (item: T, index: number) => string;
+		item: Snippet<[T, number, boolean]>;
+		skeleton?: Snippet;
+		footer?: Snippet;
+	}
+
+	let {
+		items,
+		isLoading,
+		selectedIndex,
+		searchQuery = $bindable(),
+		showSearchInput,
+		searchPlaceholder = 'Search...',
+		emptyMessage = 'No items available',
+		itemKey,
+		item,
+		skeleton,
+		footer
+	}: Props = $props();
+
+	let listContainer = $state<HTMLDivElement | null>(null);
+
+	$effect(() => {
+		if (listContainer && selectedIndex >= 0 && selectedIndex < items.length) {
+			const selectedElement = listContainer.querySelector(
+				`[data-picker-index="${selectedIndex}"]`
+			) as HTMLElement;
+
+			if (selectedElement) {
+				selectedElement.scrollIntoView({
+					behavior: 'smooth',
+					block: 'center',
+					inline: 'nearest'
+				});
+			}
+		}
+	});
+</script>
+
+<ScrollArea>
+	{#if showSearchInput}
+		<div class="absolute top-0 right-0 left-0 z-10 p-2 pb-0">
+			<SearchInput placeholder={searchPlaceholder} bind:value={searchQuery} />
+		</div>
+	{/if}
+
+	<div
+		bind:this={listContainer}
+		class="{CHAT_FORM_POPOVER_MAX_HEIGHT} p-2"
+		class:pt-13={showSearchInput}
+	>
+		{#if isLoading}
+			{#if skeleton}
+				{@render skeleton()}
+			{/if}
+		{:else if items.length === 0}
+			<div class="py-6 text-center text-sm text-muted-foreground">{emptyMessage}</div>
+		{:else}
+			{#each items as itemData, index (itemKey(itemData, index))}
+				{@render item(itemData, index, index === selectedIndex)}
+			{/each}
+		{/if}
+	</div>
+
+	{#if footer}
+		{@render footer()}
+	{/if}
+</ScrollArea>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte
new file mode 100644
index 00000000000..d232d66c1fa
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte
@@ -0,0 +1,23 @@
+<script lang="ts">
+	import type { Snippet } from 'svelte';
+
+	interface Props {
+		isSelected?: boolean;
+		onClick: () => void;
+		dataIndex?: number;
+		children: Snippet;
+	}
+
+	let { isSelected = false, onClick, dataIndex, children }: Props = $props();
+</script>
+
+<button
+	type="button"
+	data-picker-index={dataIndex}
+	onclick={onClick}
+	class="flex w-full cursor-pointer items-start gap-3 rounded-lg px-3 py-2 text-left hover:bg-accent/50 {isSelected
+		? 'bg-accent/50'
+		: ''}"
+>
+	{@render children()}
+</button>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte
new file mode 100644
index 00000000000..5a2ab26fc26
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte
@@ -0,0 +1,30 @@
+<script lang="ts">
+	interface Props {
+		titleWidth?: string;
+		showBadge?: boolean;
+	}
+
+	let { titleWidth = 'w-48', showBadge = false }: Props = $props();
+</script>
+
+<div class="flex w-full items-start gap-3 rounded-lg px-3 py-2">
+	<div class="min-w-0 flex-1 space-y-2">
+		<!-- Server label skeleton -->
+		<div class="mb-2 flex items-center gap-1.5">
+			<div class="h-3 w-3 shrink-0 animate-pulse rounded-sm bg-muted"></div>
+			<div class="h-3 w-24 animate-pulse rounded bg-muted"></div>
+		</div>
+
+		<!-- Title skeleton -->
+		<div class="flex items-center gap-2">
+			<div class="h-4 {titleWidth} animate-pulse rounded bg-muted"></div>
+
+			{#if showBadge}
+				<div class="h-4 w-12 animate-pulse rounded-full bg-muted"></div>
+			{/if}
+		</div>
+
+		<!-- Description skeleton -->
+		<div class="h-3 w-full animate-pulse rounded bg-muted"></div>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickerPopover.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickerPopover.svelte
new file mode 100644
index 00000000000..9957085fed2
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickerPopover.svelte
@@ -0,0 +1,46 @@
+<script lang="ts">
+	import type { Snippet } from 'svelte';
+	import * as Popover from '$lib/components/ui/popover';
+
+	interface Props {
+		class?: string;
+		isOpen?: boolean;
+		srLabel?: string;
+		onClose?: () => void;
+		onKeydown?: (event: KeyboardEvent) => void;
+		children: Snippet;
+	}
+
+	let {
+		class: className = '',
+		isOpen = $bindable(false),
+		srLabel = 'Open picker',
+		onClose,
+		onKeydown,
+		children
+	}: Props = $props();
+</script>
+
+<Popover.Root
+	bind:open={isOpen}
+	onOpenChange={(open) => {
+		if (!open) {
+			onClose?.();
+		}
+	}}
+>
+	<Popover.Trigger class="pointer-events-none absolute inset-0 opacity-0">
+		<span class="sr-only">{srLabel}</span>
+	</Popover.Trigger>
+
+	<Popover.Content
+		side="top"
+		align="start"
+		sideOffset={12}
+		class="w-[var(--bits-popover-anchor-width)] max-w-none rounded-xl border-border/50 p-0 shadow-xl {className}"
+		onkeydown={onKeydown}
+		onOpenAutoFocus={(e) => e.preventDefault()}
+	>
+		{@render children()}
+	</Popover.Content>
+</Popover.Root>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte
new file mode 100644
index 00000000000..12d4860ad66
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte
@@ -0,0 +1,435 @@
+<script lang="ts">
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { debounce, uuid } from '$lib/utils';
+	import { KeyboardKey } from '$lib/enums';
+	import type { MCPPromptInfo, GetPromptResult, MCPServerSettingsEntry } from '$lib/types';
+	import { SvelteMap } from 'svelte/reactivity';
+	import Badge from '$lib/components/ui/badge/badge.svelte';
+	import {
+		ChatFormPickerPopover,
+		ChatFormPickerList,
+		ChatFormPickerListItem,
+		ChatFormPickerItemHeader,
+		ChatFormPickerListItemSkeleton,
+		ChatFormPromptPickerArgumentForm
+	} from '$lib/components/app/chat';
+
+	interface Props {
+		class?: string;
+		isOpen?: boolean;
+		searchQuery?: string;
+		onClose?: () => void;
+		onPromptLoadStart?: (
+			placeholderId: string,
+			promptInfo: MCPPromptInfo,
+			args?: Record<string, string>
+		) => void;
+		onPromptLoadComplete?: (placeholderId: string, result: GetPromptResult) => void;
+		onPromptLoadError?: (placeholderId: string, error: string) => void;
+	}
+
+	let {
+		class: className = '',
+		isOpen = false,
+		searchQuery = '',
+		onClose,
+		onPromptLoadStart,
+		onPromptLoadComplete,
+		onPromptLoadError
+	}: Props = $props();
+
+	let prompts = $state<MCPPromptInfo[]>([]);
+	let isLoading = $state(false);
+	let selectedPrompt = $state<MCPPromptInfo | null>(null);
+	let promptArgs = $state<Record<string, string>>({});
+	let selectedIndex = $state(0);
+	let internalSearchQuery = $state('');
+	let promptError = $state<string | null>(null);
+	let selectedIndexBeforeArgumentForm = $state<number | null>(null);
+
+	let suggestions = $state<Record<string, string[]>>({});
+	let loadingSuggestions = $state<Record<string, boolean>>({});
+	let activeAutocomplete = $state<string | null>(null);
+	let autocompleteIndex = $state(0);
+
+	let serverSettingsMap = $derived.by(() => {
+		const servers = mcpStore.getServers();
+		const map = new SvelteMap<string, MCPServerSettingsEntry>();
+
+		for (const server of servers) {
+			map.set(server.id, server);
+		}
+
+		return map;
+	});
+
+	$effect(() => {
+		if (isOpen) {
+			loadPrompts();
+			selectedIndex = 0;
+		} else {
+			selectedPrompt = null;
+			promptArgs = {};
+			promptError = null;
+		}
+	});
+
+	$effect(() => {
+		if (filteredPrompts.length > 0 && selectedIndex >= filteredPrompts.length) {
+			selectedIndex = 0;
+		}
+	});
+
+	async function loadPrompts() {
+		isLoading = true;
+
+		try {
+			const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
+
+			const initialized = await mcpStore.ensureInitialized(perChatOverrides);
+
+			if (!initialized) {
+				prompts = [];
+
+				return;
+			}
+
+			prompts = await mcpStore.getAllPrompts();
+		} catch (error) {
+			console.error('[ChatFormPromptPicker] Failed to load prompts:', error);
+			prompts = [];
+		} finally {
+			isLoading = false;
+		}
+	}
+
+	function handlePromptClick(prompt: MCPPromptInfo) {
+		const args = prompt.arguments ?? [];
+
+		if (args.length > 0) {
+			selectedIndexBeforeArgumentForm = selectedIndex;
+			selectedPrompt = prompt;
+			promptArgs = {};
+			promptError = null;
+
+			requestAnimationFrame(() => {
+				const firstInput = document.querySelector(`#arg-${args[0].name}`) as HTMLInputElement;
+				if (firstInput) {
+					firstInput.focus();
+				}
+			});
+		} else {
+			executePrompt(prompt, {});
+		}
+	}
+
+	async function executePrompt(prompt: MCPPromptInfo, args: Record<string, string>) {
+		promptError = null;
+
+		const placeholderId = uuid();
+
+		const nonEmptyArgs = Object.fromEntries(
+			Object.entries(args).filter(([, value]) => value.trim() !== '')
+		);
+		const argsToPass = Object.keys(nonEmptyArgs).length > 0 ? nonEmptyArgs : undefined;
+
+		onPromptLoadStart?.(placeholderId, prompt, argsToPass);
+		onClose?.();
+
+		try {
+			const result = await mcpStore.getPrompt(prompt.serverName, prompt.name, args);
+			onPromptLoadComplete?.(placeholderId, result);
+		} catch (error) {
+			const errorMessage =
+				error instanceof Error ? error.message : 'Unknown error executing prompt';
+			onPromptLoadError?.(placeholderId, errorMessage);
+		}
+	}
+
+	function handleArgumentSubmit(event: SubmitEvent) {
+		event.preventDefault();
+
+		if (selectedPrompt) {
+			executePrompt(selectedPrompt, promptArgs);
+		}
+	}
+
+	const fetchCompletions = debounce(async (argName: string, value: string) => {
+		if (!selectedPrompt || value.length < 1) {
+			suggestions[argName] = [];
+
+			return;
+		}
+
+		if (import.meta.env.DEV) {
+			console.log('[ChatFormPromptPicker] Fetching completions for:', {
+				serverName: selectedPrompt.serverName,
+				promptName: selectedPrompt.name,
+				argName,
+				value
+			});
+		}
+
+		loadingSuggestions[argName] = true;
+
+		try {
+			const result = await mcpStore.getPromptCompletions(
+				selectedPrompt.serverName,
+				selectedPrompt.name,
+				argName,
+				value
+			);
+
+			if (import.meta.env.DEV) {
+				console.log('[ChatFormPromptPicker] Autocomplete result:', {
+					argName,
+					value,
+					result,
+					suggestionsCount: result?.values.length ?? 0
+				});
+			}
+
+			if (result && result.values.length > 0) {
+				// Filter out empty strings from suggestions
+				const filteredValues = result.values.filter((v) => v.trim() !== '');
+
+				if (filteredValues.length > 0) {
+					suggestions[argName] = filteredValues;
+					activeAutocomplete = argName;
+					autocompleteIndex = 0;
+				} else {
+					suggestions[argName] = [];
+				}
+			} else {
+				suggestions[argName] = [];
+			}
+		} catch (error) {
+			console.error('[ChatFormPromptPicker] Failed to fetch completions:', error);
+			suggestions[argName] = [];
+		} finally {
+			loadingSuggestions[argName] = false;
+		}
+	}, 200);
+
+	function handleArgInput(argName: string, value: string) {
+		promptArgs[argName] = value;
+		fetchCompletions(argName, value);
+	}
+
+	function selectSuggestion(argName: string, value: string) {
+		promptArgs[argName] = value;
+		suggestions[argName] = [];
+		activeAutocomplete = null;
+	}
+
+	function handleArgKeydown(event: KeyboardEvent, argName: string) {
+		const argSuggestions = suggestions[argName] ?? [];
+
+		// Handle Escape - return to prompt selection list
+		if (event.key === KeyboardKey.ESCAPE) {
+			event.preventDefault();
+			event.stopPropagation();
+			handleCancelArgumentForm();
+			return;
+		}
+
+		if (argSuggestions.length === 0 || activeAutocomplete !== argName) return;
+
+		if (event.key === KeyboardKey.ARROW_DOWN) {
+			event.preventDefault();
+			autocompleteIndex = Math.min(autocompleteIndex + 1, argSuggestions.length - 1);
+		} else if (event.key === KeyboardKey.ARROW_UP) {
+			event.preventDefault();
+			autocompleteIndex = Math.max(autocompleteIndex - 1, 0);
+		} else if (event.key === KeyboardKey.ENTER && argSuggestions[autocompleteIndex]) {
+			event.preventDefault();
+			event.stopPropagation();
+			selectSuggestion(argName, argSuggestions[autocompleteIndex]);
+		}
+	}
+
+	function handleArgBlur(argName: string) {
+		// Delay to allow click on suggestion
+		setTimeout(() => {
+			if (activeAutocomplete === argName) {
+				suggestions[argName] = [];
+				activeAutocomplete = null;
+			}
+		}, 150);
+	}
+
+	function handleArgFocus(argName: string) {
+		if ((suggestions[argName]?.length ?? 0) > 0) {
+			activeAutocomplete = argName;
+		}
+	}
+
+	function handleCancelArgumentForm() {
+		// Restore the previously selected prompt index
+		if (selectedIndexBeforeArgumentForm !== null) {
+			selectedIndex = selectedIndexBeforeArgumentForm;
+			selectedIndexBeforeArgumentForm = null;
+		}
+		selectedPrompt = null;
+		promptArgs = {};
+		promptError = null;
+	}
+
+	export function handleKeydown(event: KeyboardEvent): boolean {
+		if (!isOpen) return false;
+
+		if (event.key === KeyboardKey.ESCAPE) {
+			event.preventDefault();
+			if (selectedPrompt) {
+				// Return to prompt selection list, keeping the selected prompt active
+				handleCancelArgumentForm();
+			} else {
+				onClose?.();
+			}
+
+			return true;
+		}
+
+		if (event.key === KeyboardKey.ARROW_DOWN) {
+			event.preventDefault();
+			if (filteredPrompts.length > 0) {
+				selectedIndex = (selectedIndex + 1) % filteredPrompts.length;
+			}
+
+			return true;
+		}
+
+		if (event.key === KeyboardKey.ARROW_UP) {
+			event.preventDefault();
+			if (filteredPrompts.length > 0) {
+				selectedIndex = selectedIndex === 0 ? filteredPrompts.length - 1 : selectedIndex - 1;
+			}
+
+			return true;
+		}
+
+		if (event.key === KeyboardKey.ENTER && !selectedPrompt) {
+			event.preventDefault();
+			if (filteredPrompts[selectedIndex]) {
+				handlePromptClick(filteredPrompts[selectedIndex]);
+			}
+
+			return true;
+		}
+
+		return false;
+	}
+
+	let filteredPrompts = $derived.by(() => {
+		const sortedServers = mcpStore.getServersSorted();
+		const serverOrderMap = new Map(sortedServers.map((server, index) => [server.id, index]));
+
+		const sortedPrompts = [...prompts].sort((a, b) => {
+			const orderA = serverOrderMap.get(a.serverName) ?? Number.MAX_SAFE_INTEGER;
+			const orderB = serverOrderMap.get(b.serverName) ?? Number.MAX_SAFE_INTEGER;
+			return orderA - orderB;
+		});
+
+		const query = (searchQuery || internalSearchQuery).toLowerCase();
+		if (!query) return sortedPrompts;
+
+		return sortedPrompts.filter(
+			(prompt) =>
+				prompt.name.toLowerCase().includes(query) ||
+				prompt.title?.toLowerCase().includes(query) ||
+				prompt.description?.toLowerCase().includes(query)
+		);
+	});
+
+	let showSearchInput = $derived(prompts.length > 3);
+</script>
+
+<ChatFormPickerPopover
+	bind:isOpen
+	class={className}
+	srLabel="Open prompt picker"
+	{onClose}
+	onKeydown={handleKeydown}
+>
+	{#if selectedPrompt}
+		{@const prompt = selectedPrompt}
+		{@const server = serverSettingsMap.get(prompt.serverName)}
+		{@const serverLabel = server ? mcpStore.getServerLabel(server) : prompt.serverName}
+
+		<div class="p-4">
+			<ChatFormPickerItemHeader
+				{server}
+				{serverLabel}
+				title={prompt.title || prompt.name}
+				description={prompt.description}
+			>
+				{#snippet titleExtra()}
+					{#if prompt.arguments?.length}
+						<Badge variant="secondary">
+							{prompt.arguments.length} arg{prompt.arguments.length > 1 ? 's' : ''}
+						</Badge>
+					{/if}
+				{/snippet}
+			</ChatFormPickerItemHeader>
+
+			<ChatFormPromptPickerArgumentForm
+				prompt={selectedPrompt}
+				{promptArgs}
+				{suggestions}
+				{loadingSuggestions}
+				{activeAutocomplete}
+				{autocompleteIndex}
+				{promptError}
+				onArgInput={handleArgInput}
+				onArgKeydown={handleArgKeydown}
+				onArgBlur={handleArgBlur}
+				onArgFocus={handleArgFocus}
+				onSelectSuggestion={selectSuggestion}
+				onSubmit={handleArgumentSubmit}
+				onCancel={handleCancelArgumentForm}
+			/>
+		</div>
+	{:else}
+		<ChatFormPickerList
+			items={filteredPrompts}
+			{isLoading}
+			{selectedIndex}
+			bind:searchQuery={internalSearchQuery}
+			{showSearchInput}
+			searchPlaceholder="Search prompts..."
+			emptyMessage="No MCP prompts available"
+			itemKey={(prompt) => prompt.serverName + ':' + prompt.name}
+		>
+			{#snippet item(prompt, index, isSelected)}
+				{@const server = serverSettingsMap.get(prompt.serverName)}
+				{@const serverLabel = server ? mcpStore.getServerLabel(server) : prompt.serverName}
+
+				<ChatFormPickerListItem
+					dataIndex={index}
+					{isSelected}
+					onClick={() => handlePromptClick(prompt)}
+				>
+					<ChatFormPickerItemHeader
+						{server}
+						{serverLabel}
+						title={prompt.title || prompt.name}
+						description={prompt.description}
+					>
+						{#snippet titleExtra()}
+							{#if prompt.arguments?.length}
+								<Badge variant="secondary">
+									{prompt.arguments.length} arg{prompt.arguments.length > 1 ? 's' : ''}
+								</Badge>
+							{/if}
+						{/snippet}
+					</ChatFormPickerItemHeader>
+				</ChatFormPickerListItem>
+			{/snippet}
+
+			{#snippet skeleton()}
+				<ChatFormPickerListItemSkeleton titleWidth="w-32" showBadge />
+			{/snippet}
+		</ChatFormPickerList>
+	{/if}
+</ChatFormPickerPopover>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte
new file mode 100644
index 00000000000..92572b89522
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte
@@ -0,0 +1,74 @@
+<script lang="ts">
+	import type { MCPPromptInfo } from '$lib/types';
+	import ChatFormPromptPickerArgumentInput from './ChatFormPromptPickerArgumentInput.svelte';
+	import { Button } from '$lib/components/ui/button';
+
+	interface Props {
+		prompt: MCPPromptInfo;
+		promptArgs: Record<string, string>;
+		suggestions: Record<string, string[]>;
+		loadingSuggestions: Record<string, boolean>;
+		activeAutocomplete: string | null;
+		autocompleteIndex: number;
+		promptError: string | null;
+		onArgInput: (argName: string, value: string) => void;
+		onArgKeydown: (event: KeyboardEvent, argName: string) => void;
+		onArgBlur: (argName: string) => void;
+		onArgFocus: (argName: string) => void;
+		onSelectSuggestion: (argName: string, value: string) => void;
+		onSubmit: (event: SubmitEvent) => void;
+		onCancel: () => void;
+	}
+
+	let {
+		prompt,
+		promptArgs,
+		suggestions,
+		loadingSuggestions,
+		activeAutocomplete,
+		autocompleteIndex,
+		promptError,
+		onArgInput,
+		onArgKeydown,
+		onArgBlur,
+		onArgFocus,
+		onSelectSuggestion,
+		onSubmit,
+		onCancel
+	}: Props = $props();
+</script>
+
+<form onsubmit={onSubmit} class="space-y-3 pt-4">
+	{#each prompt.arguments ?? [] as arg (arg.name)}
+		<ChatFormPromptPickerArgumentInput
+			argument={arg}
+			value={promptArgs[arg.name] ?? ''}
+			suggestions={suggestions[arg.name] ?? []}
+			isLoadingSuggestions={loadingSuggestions[arg.name] ?? false}
+			isAutocompleteActive={activeAutocomplete === arg.name}
+			autocompleteIndex={activeAutocomplete === arg.name ? autocompleteIndex : 0}
+			onInput={(value) => onArgInput(arg.name, value)}
+			onKeydown={(e) => onArgKeydown(e, arg.name)}
+			onBlur={() => onArgBlur(arg.name)}
+			onFocus={() => onArgFocus(arg.name)}
+			onSelectSuggestion={(value) => onSelectSuggestion(arg.name, value)}
+		/>
+	{/each}
+
+	{#if promptError}
+		<div
+			class="flex items-start gap-2 rounded-lg border border-destructive/50 bg-destructive/10 px-3 py-2 text-sm text-destructive"
+			role="alert"
+		>
+			<span class="shrink-0">⚠</span>
+
+			<span>{promptError}</span>
+		</div>
+	{/if}
+
+	<div class="mt-8 flex justify-end gap-2">
+		<Button type="button" size="sm" onclick={onCancel} variant="secondary">Cancel</Button>
+
+		<Button size="sm" type="submit">Use Prompt</Button>
+	</div>
+</form>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte
new file mode 100644
index 00000000000..638d10eeff8
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte
@@ -0,0 +1,84 @@
+<script lang="ts">
+	import type { MCPPromptInfo } from '$lib/types';
+	import { fly } from 'svelte/transition';
+	import { Input } from '$lib/components/ui/input';
+	import { Label } from '$lib/components/ui/label';
+
+	type PromptArgument = NonNullable<MCPPromptInfo['arguments']>[number];
+
+	interface Props {
+		argument: PromptArgument;
+		value: string;
+		suggestions?: string[];
+		isLoadingSuggestions?: boolean;
+		isAutocompleteActive?: boolean;
+		autocompleteIndex?: number;
+		onInput: (value: string) => void;
+		onKeydown: (event: KeyboardEvent) => void;
+		onBlur: () => void;
+		onFocus: () => void;
+		onSelectSuggestion: (value: string) => void;
+	}
+
+	let {
+		argument,
+		value = '',
+		suggestions = [],
+		isLoadingSuggestions = false,
+		isAutocompleteActive = false,
+		autocompleteIndex = 0,
+		onInput,
+		onKeydown,
+		onBlur,
+		onFocus,
+		onSelectSuggestion
+	}: Props = $props();
+</script>
+
+<div class="relative grid gap-1">
+	<Label for="arg-{argument.name}" class="mb-1 text-muted-foreground">
+		<span>
+			{argument.name}
+
+			{#if argument.required}
+				<span class="text-destructive">*</span>
+			{/if}
+		</span>
+
+		{#if isLoadingSuggestions}
+			<span class="text-xs text-muted-foreground/50">...</span>
+		{/if}
+	</Label>
+
+	<Input
+		id="arg-{argument.name}"
+		type="text"
+		{value}
+		oninput={(e) => onInput(e.currentTarget.value)}
+		onkeydown={onKeydown}
+		onblur={onBlur}
+		onfocus={onFocus}
+		placeholder={argument.description || argument.name}
+		required={argument.required}
+		autocomplete="off"
+	/>
+
+	{#if isAutocompleteActive && suggestions.length > 0}
+		<div
+			class="absolute top-full right-0 left-0 z-10 mt-1 max-h-32 overflow-y-auto rounded-lg border border-border/50 bg-background shadow-lg"
+			transition:fly={{ y: -5, duration: 100 }}
+		>
+			{#each suggestions as suggestion, i (suggestion)}
+				<button
+					type="button"
+					onmousedown={() => onSelectSuggestion(suggestion)}
+					class="w-full px-3 py-1.5 text-left text-sm hover:bg-accent {i === autocompleteIndex
+						? 'bg-accent'
+						: ''}"
+				>
+					{suggestion}
+				</button>
+			{/each}
+		</div>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte
new file mode 100644
index 00000000000..5c2a945d317
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte
@@ -0,0 +1,236 @@
+<script lang="ts">
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { mcpResourceStore } from '$lib/stores/mcp-resources.svelte';
+	import { KeyboardKey } from '$lib/enums';
+	import type { MCPResourceInfo, MCPServerSettingsEntry } from '$lib/types';
+	import { SvelteMap } from 'svelte/reactivity';
+	import { FolderOpen } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import {
+		ChatFormPickerPopover,
+		ChatFormPickerList,
+		ChatFormPickerListItem,
+		ChatFormPickerItemHeader,
+		ChatFormPickerListItemSkeleton
+	} from '$lib/components/app/chat';
+
+	interface Props {
+		class?: string;
+		isOpen?: boolean;
+		searchQuery?: string;
+		onClose?: () => void;
+		onResourceSelect?: (resource: MCPResourceInfo) => void;
+		onBrowse?: () => void;
+	}
+
+	let {
+		class: className = '',
+		isOpen = false,
+		searchQuery = '',
+		onClose,
+		onResourceSelect,
+		onBrowse
+	}: Props = $props();
+
+	let resources = $state<MCPResourceInfo[]>([]);
+	let isLoading = $state(false);
+	let selectedIndex = $state(0);
+	let internalSearchQuery = $state('');
+
+	let serverSettingsMap = $derived.by(() => {
+		const servers = mcpStore.getServers();
+		const map = new SvelteMap<string, MCPServerSettingsEntry>();
+
+		for (const server of servers) {
+			map.set(server.id, server);
+		}
+
+		return map;
+	});
+
+	$effect(() => {
+		if (isOpen) {
+			loadResources();
+			selectedIndex = 0;
+		}
+	});
+
+	$effect(() => {
+		if (filteredResources.length > 0 && selectedIndex >= filteredResources.length) {
+			selectedIndex = 0;
+		}
+	});
+
+	async function loadResources() {
+		isLoading = true;
+
+		try {
+			const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
+
+			const initialized = await mcpStore.ensureInitialized(perChatOverrides);
+
+			if (!initialized) {
+				resources = [];
+
+				return;
+			}
+
+			await mcpStore.fetchAllResources();
+			resources = mcpResourceStore.getAllResourceInfos();
+		} catch (error) {
+			console.error('[ChatFormResourcePicker] Failed to load resources:', error);
+			resources = [];
+		} finally {
+			isLoading = false;
+		}
+	}
+
+	function handleResourceClick(resource: MCPResourceInfo) {
+		mcpStore.attachResource(resource.uri);
+		onResourceSelect?.(resource);
+		onClose?.();
+	}
+
+	function isResourceAttached(uri: string): boolean {
+		return mcpResourceStore.isAttached(uri);
+	}
+
+	export function handleKeydown(event: KeyboardEvent): boolean {
+		if (!isOpen) return false;
+
+		if (event.key === KeyboardKey.ESCAPE) {
+			event.preventDefault();
+			onClose?.();
+
+			return true;
+		}
+
+		if (event.key === KeyboardKey.ARROW_DOWN) {
+			event.preventDefault();
+
+			if (filteredResources.length > 0) {
+				selectedIndex = (selectedIndex + 1) % filteredResources.length;
+			}
+
+			return true;
+		}
+
+		if (event.key === KeyboardKey.ARROW_UP) {
+			event.preventDefault();
+			if (filteredResources.length > 0) {
+				selectedIndex = selectedIndex === 0 ? filteredResources.length - 1 : selectedIndex - 1;
+			}
+
+			return true;
+		}
+
+		if (event.key === KeyboardKey.ENTER) {
+			event.preventDefault();
+			if (filteredResources[selectedIndex]) {
+				handleResourceClick(filteredResources[selectedIndex]);
+			}
+
+			return true;
+		}
+
+		return false;
+	}
+
+	let filteredResources = $derived.by(() => {
+		const sortedServers = mcpStore.getServersSorted();
+		const serverOrderMap = new Map(sortedServers.map((server, index) => [server.id, index]));
+
+		const sortedResources = [...resources].sort((a, b) => {
+			const orderA = serverOrderMap.get(a.serverName) ?? Number.MAX_SAFE_INTEGER;
+			const orderB = serverOrderMap.get(b.serverName) ?? Number.MAX_SAFE_INTEGER;
+			return orderA - orderB;
+		});
+
+		const query = (searchQuery || internalSearchQuery).toLowerCase();
+		if (!query) return sortedResources;
+
+		return sortedResources.filter(
+			(resource) =>
+				resource.name.toLowerCase().includes(query) ||
+				resource.title?.toLowerCase().includes(query) ||
+				resource.description?.toLowerCase().includes(query) ||
+				resource.uri.toLowerCase().includes(query)
+		);
+	});
+
+	let showSearchInput = $derived(resources.length > 3);
+</script>
+
+<ChatFormPickerPopover
+	bind:isOpen
+	class={className}
+	srLabel="Open resource picker"
+	{onClose}
+	onKeydown={handleKeydown}
+>
+	<ChatFormPickerList
+		items={filteredResources}
+		{isLoading}
+		{selectedIndex}
+		bind:searchQuery={internalSearchQuery}
+		{showSearchInput}
+		searchPlaceholder="Search resources..."
+		emptyMessage="No MCP resources available"
+		itemKey={(resource) => resource.serverName + ':' + resource.uri}
+	>
+		{#snippet item(resource, index, isSelected)}
+			{@const server = serverSettingsMap.get(resource.serverName)}
+			{@const serverLabel = server ? mcpStore.getServerLabel(server) : resource.serverName}
+
+			<ChatFormPickerListItem
+				dataIndex={index}
+				{isSelected}
+				onClick={() => handleResourceClick(resource)}
+			>
+				<ChatFormPickerItemHeader
+					{server}
+					{serverLabel}
+					title={resource.title || resource.name}
+					description={resource.description}
+				>
+					{#snippet titleExtra()}
+						{#if isResourceAttached(resource.uri)}
+							<span
+								class="inline-flex items-center rounded-full bg-primary/10 px-1.5 py-0.5 text-[10px] font-medium text-primary"
+							>
+								attached
+							</span>
+						{/if}
+					{/snippet}
+
+					{#snippet subtitle()}
+						<p class="mt-0.5 truncate text-xs text-muted-foreground/60">
+							{resource.uri}
+						</p>
+					{/snippet}
+				</ChatFormPickerItemHeader>
+			</ChatFormPickerListItem>
+		{/snippet}
+
+		{#snippet skeleton()}
+			<ChatFormPickerListItemSkeleton />
+		{/snippet}
+
+		{#snippet footer()}
+			{#if onBrowse && resources.length > 3}
+				<Button
+					class="fixed right-3 bottom-3"
+					type="button"
+					onclick={onBrowse}
+					variant="secondary"
+					size="sm"
+				>
+					<FolderOpen class="h-3 w-3" />
+
+					Browse all
+				</Button>
+			{/if}
+		{/snippet}
+	</ChatFormPickerList>
+</ChatFormPickerPopover>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
index 19b763f55ef..f0855b9dbe5 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
@@ -5,6 +5,7 @@
 	interface Props {
 		class?: string;
 		disabled?: boolean;
+		onInput?: () => void;
 		onKeydown?: (event: KeyboardEvent) => void;
 		onPaste?: (event: ClipboardEvent) => void;
 		placeholder?: string;
@@ -14,6 +15,7 @@
 	let {
 		class: className = '',
 		disabled = false,
+		onInput,
 		onKeydown,
 		onPaste,
 		placeholder = 'Ask anything...',
@@ -52,7 +54,10 @@
 		class:cursor-not-allowed={disabled}
 		{disabled}
 		onkeydown={onKeydown}
-		oninput={(event) => autoResizeTextarea(event.currentTarget)}
+		oninput={(event) => {
+			autoResizeTextarea(event.currentTarget);
+			onInput?.();
+		}}
 		onpaste={onPaste}
 		{placeholder}
 	></textarea>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
index 220276fc9e3..52a9355104a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
@@ -1,121 +1,147 @@
 <script lang="ts">
-	import { chatStore } from '$lib/stores/chat.svelte';
-	import { config } from '$lib/stores/settings.svelte';
-	import { copyToClipboard, isIMEComposing, formatMessageForClipboard } from '$lib/utils';
-	import ChatMessageAssistant from './ChatMessageAssistant.svelte';
-	import ChatMessageUser from './ChatMessageUser.svelte';
-	import ChatMessageSystem from './ChatMessageSystem.svelte';
+	import { goto } from '$app/navigation';
+	import { base } from '$app/paths';
+	import { getChatActionsContext, setMessageEditContext } from '$lib/contexts';
+	import { chatStore, pendingEditMessageId } from '$lib/stores/chat.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { DatabaseService } from '$lib/services';
+	import { SYSTEM_MESSAGE_PLACEHOLDER } from '$lib/constants';
+	import { MessageRole, AttachmentType } from '$lib/enums';
+	import {
+		ChatMessageAssistant,
+		ChatMessageUser,
+		ChatMessageSystem,
+		ChatMessageMcpPrompt
+	} from '$lib/components/app/chat';
+	import { parseFilesToMessageExtras } from '$lib/utils/browser-only';
+	import type { DatabaseMessageExtraMcpPrompt } from '$lib/types';
 
 	interface Props {
 		class?: string;
 		message: DatabaseMessage;
-		onCopy?: (message: DatabaseMessage) => void;
-		onContinueAssistantMessage?: (message: DatabaseMessage) => void;
-		onDelete?: (message: DatabaseMessage) => void;
-		onEditWithBranching?: (
-			message: DatabaseMessage,
-			newContent: string,
-			newExtras?: DatabaseMessageExtra[]
-		) => void;
-		onEditWithReplacement?: (
-			message: DatabaseMessage,
-			newContent: string,
-			shouldBranch: boolean
-		) => void;
-		onEditUserMessagePreserveResponses?: (
-			message: DatabaseMessage,
-			newContent: string,
-			newExtras?: DatabaseMessageExtra[]
-		) => void;
-		onNavigateToSibling?: (siblingId: string) => void;
-		onRegenerateWithBranching?: (message: DatabaseMessage, modelOverride?: string) => void;
+		isLastAssistantMessage?: boolean;
 		siblingInfo?: ChatMessageSiblingInfo | null;
 	}
 
 	let {
 		class: className = '',
 		message,
-		onCopy,
-		onContinueAssistantMessage,
-		onDelete,
-		onEditWithBranching,
-		onEditWithReplacement,
-		onEditUserMessagePreserveResponses,
-		onNavigateToSibling,
-		onRegenerateWithBranching,
+		isLastAssistantMessage = false,
 		siblingInfo = null
 	}: Props = $props();
 
+	const chatActions = getChatActionsContext();
+
 	let deletionInfo = $state<{
 		totalCount: number;
 		userMessages: number;
 		assistantMessages: number;
 		messageTypes: string[];
 	} | null>(null);
-	let editedContent = $state(message.content);
-	let editedExtras = $state<DatabaseMessageExtra[]>(message.extra ? [...message.extra] : []);
+	let editedContent = $derived(message.content);
+	let editedExtras = $derived<DatabaseMessageExtra[]>(message.extra ? [...message.extra] : []);
 	let editedUploadedFiles = $state<ChatUploadedFile[]>([]);
 	let isEditing = $state(false);
 	let showDeleteDialog = $state(false);
 	let shouldBranchAfterEdit = $state(false);
 	let textareaElement: HTMLTextAreaElement | undefined = $state();
 
-	let thinkingContent = $derived.by(() => {
-		if (message.role === 'assistant') {
-			const trimmedThinking = message.thinking?.trim();
+	let showSaveOnlyOption = $derived(message.role === MessageRole.USER);
+
+	setMessageEditContext({
+		get isEditing() {
+			return isEditing;
+		},
+		get editedContent() {
+			return editedContent;
+		},
+		get editedExtras() {
+			return editedExtras;
+		},
+		get editedUploadedFiles() {
+			return editedUploadedFiles;
+		},
+		get originalContent() {
+			return message.content;
+		},
+		get originalExtras() {
+			return message.extra || [];
+		},
+		get showSaveOnlyOption() {
+			return showSaveOnlyOption;
+		},
+		setContent: (content: string) => {
+			editedContent = content;
+		},
+		setExtras: (extras: DatabaseMessageExtra[]) => {
+			editedExtras = extras;
+		},
+		setUploadedFiles: (files: ChatUploadedFile[]) => {
+			editedUploadedFiles = files;
+		},
+		save: handleSaveEdit,
+		saveOnly: handleSaveEditOnly,
+		cancel: handleCancelEdit,
+		startEdit: handleEdit
+	});
+
+	let mcpPromptExtra = $derived.by(() => {
+		if (message.role !== MessageRole.USER) return null;
+		if (message.content.trim()) return null;
+		if (!message.extra || message.extra.length !== 1) return null;
+
+		const extra = message.extra[0];
 
-			return trimmedThinking ? trimmedThinking : null;
+		if (extra.type === AttachmentType.MCP_PROMPT) {
+			return extra as DatabaseMessageExtraMcpPrompt;
 		}
+
 		return null;
 	});
 
-	let toolCallContent = $derived.by((): ApiChatCompletionToolCall[] | string | null => {
-		if (message.role === 'assistant') {
-			const trimmedToolCalls = message.toolCalls?.trim();
+	$effect(() => {
+		const pendingId = pendingEditMessageId();
 
-			if (!trimmedToolCalls) {
-				return null;
-			}
+		if (pendingId && pendingId === message.id && !isEditing) {
+			handleEdit();
+			chatStore.clearPendingEditMessageId();
+		}
+	});
 
-			try {
-				const parsed = JSON.parse(trimmedToolCalls);
+	async function handleCancelEdit() {
+		isEditing = false;
 
-				if (Array.isArray(parsed)) {
-					return parsed as ApiChatCompletionToolCall[];
-				}
-			} catch {
-				// Harmony-only path: fall back to the raw string so issues surface visibly.
+		// If canceling a new system message with placeholder content, remove it without deleting children
+		if (message.role === MessageRole.SYSTEM) {
+			const conversationDeleted = await chatStore.removeSystemPromptPlaceholder(message.id);
+
+			if (conversationDeleted) {
+				goto(`${base}/`);
 			}
 
-			return trimmedToolCalls;
+			return;
 		}
-		return null;
-	});
 
-	function handleCancelEdit() {
-		isEditing = false;
 		editedContent = message.content;
 		editedExtras = message.extra ? [...message.extra] : [];
 		editedUploadedFiles = [];
 	}
 
-	function handleEditedExtrasChange(extras: DatabaseMessageExtra[]) {
-		editedExtras = extras;
+	function handleCopy() {
+		chatActions.copy(message);
 	}
 
-	function handleEditedUploadedFilesChange(files: ChatUploadedFile[]) {
-		editedUploadedFiles = files;
-	}
+	async function handleConfirmDelete() {
+		if (message.role === MessageRole.SYSTEM) {
+			const conversationDeleted = await chatStore.removeSystemPromptPlaceholder(message.id);
 
-	async function handleCopy() {
-		const asPlainText = Boolean(config().copyTextAttachmentsAsPlainText);
-		const clipboardContent = formatMessageForClipboard(message.content, message.extra, asPlainText);
-		await copyToClipboard(clipboardContent, 'Message copied to clipboard');
-		onCopy?.(message);
-	}
+			if (conversationDeleted) {
+				goto(`${base}/`);
+			}
+		} else {
+			chatActions.delete(message);
+		}
 
-	function handleConfirmDelete() {
-		onDelete?.(message);
 		showDeleteDialog = false;
 	}
 
@@ -126,7 +152,12 @@
 
 	function handleEdit() {
 		isEditing = true;
-		editedContent = message.content;
+		// Clear temporary placeholder content for system messages
+		editedContent =
+			message.role === MessageRole.SYSTEM && message.content === SYSTEM_MESSAGE_PLACEHOLDER
+				? ''
+				: message.content;
+		textareaElement?.focus();
 		editedExtras = message.extra ? [...message.extra] : [];
 		editedUploadedFiles = [];
 
@@ -141,38 +172,45 @@
 		}, 0);
 	}
 
-	function handleEditedContentChange(content: string) {
-		editedContent = content;
-	}
-
-	function handleEditKeydown(event: KeyboardEvent) {
-		// Check for IME composition using isComposing property and keyCode 229 (specifically for IME composition on Safari)
-		// This prevents saving edit when confirming IME word selection (e.g., Japanese/Chinese input)
-		if (event.key === 'Enter' && !event.shiftKey && !isIMEComposing(event)) {
-			event.preventDefault();
-			handleSaveEdit();
-		} else if (event.key === 'Escape') {
-			event.preventDefault();
-			handleCancelEdit();
-		}
-	}
-
 	function handleRegenerate(modelOverride?: string) {
-		onRegenerateWithBranching?.(message, modelOverride);
+		chatActions.regenerateWithBranching(message, modelOverride);
 	}
 
 	function handleContinue() {
-		onContinueAssistantMessage?.(message);
+		chatActions.continueAssistantMessage(message);
+	}
+
+	function handleNavigateToSibling(siblingId: string) {
+		chatActions.navigateToSibling(siblingId);
 	}
 
 	async function handleSaveEdit() {
-		if (message.role === 'user' || message.role === 'system') {
+		if (message.role === MessageRole.SYSTEM) {
+			// System messages: update in place without branching
+			const newContent = editedContent.trim();
+
+			// If content is empty, remove without deleting children
+			if (!newContent) {
+				const conversationDeleted = await chatStore.removeSystemPromptPlaceholder(message.id);
+				isEditing = false;
+				if (conversationDeleted) {
+					goto(`${base}/`);
+				}
+				return;
+			}
+
+			await DatabaseService.updateMessage(message.id, { content: newContent });
+			const index = conversationsStore.findMessageIndex(message.id);
+			if (index !== -1) {
+				conversationsStore.updateMessageAtIndex(index, { content: newContent });
+			}
+		} else if (message.role === MessageRole.USER) {
 			const finalExtras = await getMergedExtras();
-			onEditWithBranching?.(message, editedContent.trim(), finalExtras);
+			chatActions.editWithBranching(message, editedContent.trim(), finalExtras);
 		} else {
 			// For assistant messages, preserve exact content including trailing whitespace
 			// This is important for the Continue feature to work properly
-			onEditWithReplacement?.(message, editedContent, shouldBranchAfterEdit);
+			chatActions.editWithReplacement(message, editedContent, shouldBranchAfterEdit);
 		}
 
 		isEditing = false;
@@ -181,10 +219,10 @@
 	}
 
 	async function handleSaveEditOnly() {
-		if (message.role === 'user') {
+		if (message.role === MessageRole.USER) {
 			// For user messages, trim to avoid accidental whitespace
 			const finalExtras = await getMergedExtras();
-			onEditUserMessagePreserveResponses?.(message, editedContent.trim(), finalExtras);
+			chatActions.editUserMessagePreserveResponses(message, editedContent.trim(), finalExtras);
 		}
 
 		isEditing = false;
@@ -196,8 +234,8 @@
 			return editedExtras;
 		}
 
-		const { parseFilesToMessageExtras } = await import('$lib/utils/browser-only');
-		const result = await parseFilesToMessageExtras(editedUploadedFiles);
+		const plainFiles = $state.snapshot(editedUploadedFiles);
+		const result = await parseFilesToMessageExtras(plainFiles);
 		const newExtras = result?.extras || [];
 
 		return [...editedExtras, ...newExtras];
@@ -208,49 +246,46 @@
 	}
 </script>
 
-{#if message.role === 'system'}
+{#if message.role === MessageRole.SYSTEM}
 	<ChatMessageSystem
 		bind:textareaElement
 		class={className}
 		{deletionInfo}
-		{editedContent}
-		{isEditing}
 		{message}
-		onCancelEdit={handleCancelEdit}
 		onConfirmDelete={handleConfirmDelete}
 		onCopy={handleCopy}
 		onDelete={handleDelete}
 		onEdit={handleEdit}
-		onEditKeydown={handleEditKeydown}
-		onEditedContentChange={handleEditedContentChange}
-		{onNavigateToSibling}
-		onSaveEdit={handleSaveEdit}
+		onNavigateToSibling={handleNavigateToSibling}
 		onShowDeleteDialogChange={handleShowDeleteDialogChange}
 		{showDeleteDialog}
 		{siblingInfo}
 	/>
-{:else if message.role === 'user'}
+{:else if mcpPromptExtra}
+	<ChatMessageMcpPrompt
+		class={className}
+		{deletionInfo}
+		{message}
+		mcpPrompt={mcpPromptExtra}
+		onConfirmDelete={handleConfirmDelete}
+		onCopy={handleCopy}
+		onDelete={handleDelete}
+		onEdit={handleEdit}
+		onNavigateToSibling={handleNavigateToSibling}
+		onShowDeleteDialogChange={handleShowDeleteDialogChange}
+		{showDeleteDialog}
+		{siblingInfo}
+	/>
+{:else if message.role === MessageRole.USER}
 	<ChatMessageUser
-		bind:textareaElement
 		class={className}
 		{deletionInfo}
-		{editedContent}
-		{editedExtras}
-		{editedUploadedFiles}
-		{isEditing}
 		{message}
-		onCancelEdit={handleCancelEdit}
 		onConfirmDelete={handleConfirmDelete}
 		onCopy={handleCopy}
 		onDelete={handleDelete}
 		onEdit={handleEdit}
-		onEditKeydown={handleEditKeydown}
-		onEditedContentChange={handleEditedContentChange}
-		onEditedExtrasChange={handleEditedExtrasChange}
-		onEditedUploadedFilesChange={handleEditedUploadedFilesChange}
-		{onNavigateToSibling}
-		onSaveEdit={handleSaveEdit}
-		onSaveEditOnly={handleSaveEditOnly}
+		onNavigateToSibling={handleNavigateToSibling}
 		onShowDeleteDialogChange={handleShowDeleteDialogChange}
 		{showDeleteDialog}
 		{siblingInfo}
@@ -260,27 +295,18 @@
 		bind:textareaElement
 		class={className}
 		{deletionInfo}
-		{editedContent}
-		{isEditing}
+		{isLastAssistantMessage}
 		{message}
 		messageContent={message.content}
-		onCancelEdit={handleCancelEdit}
 		onConfirmDelete={handleConfirmDelete}
 		onContinue={handleContinue}
 		onCopy={handleCopy}
 		onDelete={handleDelete}
 		onEdit={handleEdit}
-		onEditKeydown={handleEditKeydown}
-		onEditedContentChange={handleEditedContentChange}
-		{onNavigateToSibling}
+		onNavigateToSibling={handleNavigateToSibling}
 		onRegenerate={handleRegenerate}
-		onSaveEdit={handleSaveEdit}
 		onShowDeleteDialogChange={handleShowDeleteDialogChange}
-		{shouldBranchAfterEdit}
-		onShouldBranchAfterEditChange={(value) => (shouldBranchAfterEdit = value)}
 		{showDeleteDialog}
 		{siblingInfo}
-		{thinkingContent}
-		{toolCallContent}
 	/>
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
index 3cb48157d8c..97b34e92cc9 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
@@ -1,13 +1,15 @@
 <script lang="ts">
 	import { Edit, Copy, RefreshCw, Trash2, ArrowRight } from '@lucide/svelte';
 	import {
-		ActionButton,
+		ActionIcon,
 		ChatMessageBranchingControls,
 		DialogConfirmation
 	} from '$lib/components/app';
+	import { Switch } from '$lib/components/ui/switch';
+	import { MessageRole } from '$lib/enums';
 
 	interface Props {
-		role: 'user' | 'assistant';
+		role: MessageRole.USER | MessageRole.ASSISTANT;
 		justify: 'start' | 'end';
 		actionsPosition: 'left' | 'right';
 		siblingInfo?: ChatMessageSiblingInfo | null;
@@ -26,6 +28,9 @@
 		onConfirmDelete: () => void;
 		onNavigateToSibling?: (siblingId: string) => void;
 		onShowDeleteDialogChange: (show: boolean) => void;
+		showRawOutputSwitch?: boolean;
+		rawOutputEnabled?: boolean;
+		onRawOutputToggle?: (enabled: boolean) => void;
 	}
 
 	let {
@@ -42,7 +47,10 @@
 		onRegenerate,
 		role,
 		siblingInfo = null,
-		showDeleteDialog
+		showDeleteDialog,
+		showRawOutputSwitch = false,
+		rawOutputEnabled = false,
+		onRawOutputToggle
 	}: Props = $props();
 
 	function handleConfirmDelete() {
@@ -51,9 +59,9 @@
 	}
 </script>
 
-<div class="relative {justify === 'start' ? 'mt-2' : ''} flex h-6 items-center justify-{justify}">
+<div class="relative {justify === 'start' ? 'mt-2' : ''} flex h-6 items-center justify-between">
 	<div
-		class="absolute top-0 {actionsPosition === 'left'
+		class="{actionsPosition === 'left'
 			? 'left-0'
 			: 'right-0'} flex items-center gap-2 opacity-100 transition-opacity"
 	>
@@ -64,23 +72,33 @@
 		<div
 			class="pointer-events-auto inset-0 flex items-center gap-1 opacity-100 transition-all duration-150"
 		>
-			<ActionButton icon={Copy} tooltip="Copy" onclick={onCopy} />
+			<ActionIcon icon={Copy} tooltip="Copy" onclick={onCopy} />
 
 			{#if onEdit}
-				<ActionButton icon={Edit} tooltip="Edit" onclick={onEdit} />
+				<ActionIcon icon={Edit} tooltip="Edit" onclick={onEdit} />
 			{/if}
 
-			{#if role === 'assistant' && onRegenerate}
-				<ActionButton icon={RefreshCw} tooltip="Regenerate" onclick={() => onRegenerate()} />
+			{#if role === MessageRole.ASSISTANT && onRegenerate}
+				<ActionIcon icon={RefreshCw} tooltip="Regenerate" onclick={() => onRegenerate()} />
 			{/if}
 
-			{#if role === 'assistant' && onContinue}
-				<ActionButton icon={ArrowRight} tooltip="Continue" onclick={onContinue} />
+			{#if role === MessageRole.ASSISTANT && onContinue}
+				<ActionIcon icon={ArrowRight} tooltip="Continue" onclick={onContinue} />
 			{/if}
 
-			<ActionButton icon={Trash2} tooltip="Delete" onclick={onDelete} />
+			<ActionIcon icon={Trash2} tooltip="Delete" onclick={onDelete} />
 		</div>
 	</div>
+
+	{#if showRawOutputSwitch}
+		<div class="flex items-center gap-2">
+			<span class="text-xs text-muted-foreground">Show raw output</span>
+			<Switch
+				checked={rawOutputEnabled}
+				onCheckedChange={(checked) => onRawOutputToggle?.(checked)}
+			/>
+		</div>
+	{/if}
 </div>
 
 <DialogConfirmation
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
new file mode 100644
index 00000000000..5977f1c8f1e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
@@ -0,0 +1,354 @@
+<script lang="ts">
+	import {
+		ChatMessageStatistics,
+		CollapsibleContentBlock,
+		MarkdownContent,
+		SyntaxHighlightedCode
+	} from '$lib/components/app';
+	import { config } from '$lib/stores/settings.svelte';
+	import { Wrench, Loader2, AlertTriangle, Brain } from '@lucide/svelte';
+	import { AgenticSectionType, AttachmentType, FileTypeText } from '$lib/enums';
+	import { formatJsonPretty } from '$lib/utils';
+	import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
+	import { parseAgenticContent, type AgenticSection } from '$lib/utils';
+	import type { DatabaseMessage, DatabaseMessageExtraImageFile } from '$lib/types/database';
+	import type { ChatMessageAgenticTimings, ChatMessageAgenticTurnStats } from '$lib/types/chat';
+	import { ChatMessageStatsView } from '$lib/enums';
+
+	interface Props {
+		message?: DatabaseMessage;
+		content: string;
+		isStreaming?: boolean;
+		highlightTurns?: boolean;
+	}
+
+	type ToolResultLine = {
+		text: string;
+		image?: DatabaseMessageExtraImageFile;
+	};
+
+	let { content, message, isStreaming = false, highlightTurns = false }: Props = $props();
+
+	let expandedStates: Record<number, boolean> = $state({});
+
+	const sections = $derived(parseAgenticContent(content));
+	const showToolCallInProgress = $derived(config().showToolCallInProgress as boolean);
+	const showThoughtInProgress = $derived(config().showThoughtInProgress as boolean);
+
+	// Parse toolResults with images only when sections or message.extra change
+	const sectionsParsed = $derived(
+		sections.map((section) => ({
+			...section,
+			parsedLines: section.toolResult
+				? parseToolResultWithImages(section.toolResult, message?.extra)
+				: []
+		}))
+	);
+
+	// Group flat sections into agentic turns
+	// A new turn starts when a non-tool section follows a tool section
+	const turnGroups = $derived.by(() => {
+		const turns: { sections: (typeof sectionsParsed)[number][]; flatIndices: number[] }[] = [];
+		let currentTurn: (typeof sectionsParsed)[number][] = [];
+		let currentIndices: number[] = [];
+		let prevWasTool = false;
+
+		for (let i = 0; i < sectionsParsed.length; i++) {
+			const section = sectionsParsed[i];
+			const isTool =
+				section.type === AgenticSectionType.TOOL_CALL ||
+				section.type === AgenticSectionType.TOOL_CALL_PENDING ||
+				section.type === AgenticSectionType.TOOL_CALL_STREAMING;
+
+			if (!isTool && prevWasTool && currentTurn.length > 0) {
+				turns.push({ sections: currentTurn, flatIndices: currentIndices });
+				currentTurn = [];
+				currentIndices = [];
+			}
+
+			currentTurn.push(section);
+			currentIndices.push(i);
+			prevWasTool = isTool;
+		}
+
+		if (currentTurn.length > 0) {
+			turns.push({ sections: currentTurn, flatIndices: currentIndices });
+		}
+
+		return turns;
+	});
+
+	function getDefaultExpanded(section: AgenticSection): boolean {
+		if (
+			section.type === AgenticSectionType.TOOL_CALL_PENDING ||
+			section.type === AgenticSectionType.TOOL_CALL_STREAMING
+		) {
+			return showToolCallInProgress;
+		}
+
+		if (section.type === AgenticSectionType.REASONING_PENDING) {
+			return showThoughtInProgress;
+		}
+
+		return false;
+	}
+
+	function isExpanded(index: number, section: AgenticSection): boolean {
+		if (expandedStates[index] !== undefined) {
+			return expandedStates[index];
+		}
+
+		return getDefaultExpanded(section);
+	}
+
+	function toggleExpanded(index: number, section: AgenticSection) {
+		const currentState = isExpanded(index, section);
+
+		expandedStates[index] = !currentState;
+	}
+
+	function parseToolResultWithImages(
+		toolResult: string,
+		extras?: DatabaseMessage['extra']
+	): ToolResultLine[] {
+		const lines = toolResult.split(NEWLINE_SEPARATOR);
+
+		return lines.map((line) => {
+			const match = line.match(ATTACHMENT_SAVED_REGEX);
+			if (!match || !extras) return { text: line };
+
+			const attachmentName = match[1];
+			const image = extras.find(
+				(e): e is DatabaseMessageExtraImageFile =>
+					e.type === AttachmentType.IMAGE && e.name === attachmentName
+			);
+
+			return { text: line, image };
+		});
+	}
+
+	function buildTurnAgenticTimings(stats: ChatMessageAgenticTurnStats): ChatMessageAgenticTimings {
+		return {
+			turns: 1,
+			toolCallsCount: stats.toolCalls.length,
+			toolsMs: stats.toolsMs,
+			toolCalls: stats.toolCalls,
+			llm: stats.llm
+		};
+	}
+</script>
+
+{#snippet renderSection(section: (typeof sectionsParsed)[number], index: number)}
+	{#if section.type === AgenticSectionType.TEXT}
+		<div class="agentic-text">
+			<MarkdownContent content={section.content} attachments={message?.extra} />
+		</div>
+	{:else if section.type === AgenticSectionType.TOOL_CALL_STREAMING}
+		{@const streamingIcon = isStreaming ? Loader2 : AlertTriangle}
+		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4 text-yellow-500'}
+		{@const streamingSubtitle = isStreaming ? '' : 'incomplete'}
+
+		<CollapsibleContentBlock
+			open={isExpanded(index, section)}
+			class="my-2"
+			icon={streamingIcon}
+			iconClass={streamingIconClass}
+			title={section.toolName || 'Tool call'}
+			subtitle={streamingSubtitle}
+			{isStreaming}
+			onToggle={() => toggleExpanded(index, section)}
+		>
+			<div class="pt-3">
+				<div class="my-3 flex items-center gap-2 text-xs text-muted-foreground">
+					<span>Arguments:</span>
+
+					{#if isStreaming}
+						<Loader2 class="h-3 w-3 animate-spin" />
+					{/if}
+				</div>
+				{#if section.toolArgs}
+					<SyntaxHighlightedCode
+						code={formatJsonPretty(section.toolArgs)}
+						language={FileTypeText.JSON}
+						maxHeight="20rem"
+						class="text-xs"
+					/>
+				{:else if isStreaming}
+					<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">
+						Receiving arguments...
+					</div>
+				{:else}
+					<div
+						class="rounded bg-yellow-500/10 p-2 text-xs text-yellow-600 italic dark:text-yellow-400"
+					>
+						Response was truncated
+					</div>
+				{/if}
+			</div>
+		</CollapsibleContentBlock>
+	{:else if section.type === AgenticSectionType.TOOL_CALL || section.type === AgenticSectionType.TOOL_CALL_PENDING}
+		{@const isPending = section.type === AgenticSectionType.TOOL_CALL_PENDING}
+		{@const toolIcon = isPending ? Loader2 : Wrench}
+		{@const toolIconClass = isPending ? 'h-4 w-4 animate-spin' : 'h-4 w-4'}
+
+		<CollapsibleContentBlock
+			open={isExpanded(index, section)}
+			class="my-2"
+			icon={toolIcon}
+			iconClass={toolIconClass}
+			title={section.toolName || ''}
+			subtitle={isPending ? 'executing...' : undefined}
+			isStreaming={isPending}
+			onToggle={() => toggleExpanded(index, section)}
+		>
+			{#if section.toolArgs && section.toolArgs !== '{}'}
+				<div class="pt-3">
+					<div class="my-3 text-xs text-muted-foreground">Arguments:</div>
+
+					<SyntaxHighlightedCode
+						code={formatJsonPretty(section.toolArgs)}
+						language={FileTypeText.JSON}
+						maxHeight="20rem"
+						class="text-xs"
+					/>
+				</div>
+			{/if}
+
+			<div class="pt-3">
+				<div class="my-3 flex items-center gap-2 text-xs text-muted-foreground">
+					<span>Result:</span>
+
+					{#if isPending}
+						<Loader2 class="h-3 w-3 animate-spin" />
+					{/if}
+				</div>
+				{#if section.toolResult}
+					<div class="overflow-auto rounded-lg border border-border bg-muted p-4">
+						{#each section.parsedLines as line, i (i)}
+							<div class="font-mono text-xs leading-relaxed whitespace-pre-wrap">{line.text}</div>
+							{#if line.image}
+								<img
+									src={line.image.base64Url}
+									alt={line.image.name}
+									class="mt-2 mb-2 h-auto max-w-full rounded-lg"
+									loading="lazy"
+								/>
+							{/if}
+						{/each}
+					</div>
+				{:else if isPending}
+					<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">
+						Waiting for result...
+					</div>
+				{/if}
+			</div>
+		</CollapsibleContentBlock>
+	{:else if section.type === AgenticSectionType.REASONING}
+		<CollapsibleContentBlock
+			open={isExpanded(index, section)}
+			class="my-2"
+			icon={Brain}
+			title="Reasoning"
+			onToggle={() => toggleExpanded(index, section)}
+		>
+			<div class="pt-3">
+				<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
+					{section.content}
+				</div>
+			</div>
+		</CollapsibleContentBlock>
+	{:else if section.type === AgenticSectionType.REASONING_PENDING}
+		{@const reasoningTitle = isStreaming ? 'Reasoning...' : 'Reasoning'}
+		{@const reasoningSubtitle = isStreaming ? '' : 'incomplete'}
+
+		<CollapsibleContentBlock
+			open={isExpanded(index, section)}
+			class="my-2"
+			icon={Brain}
+			title={reasoningTitle}
+			subtitle={reasoningSubtitle}
+			{isStreaming}
+			onToggle={() => toggleExpanded(index, section)}
+		>
+			<div class="pt-3">
+				<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
+					{section.content}
+				</div>
+			</div>
+		</CollapsibleContentBlock>
+	{/if}
+{/snippet}
+
+<div class="agentic-content">
+	{#if highlightTurns && turnGroups.length > 1}
+		{#each turnGroups as turn, turnIndex (turnIndex)}
+			{@const turnStats = message?.timings?.agentic?.perTurn?.[turnIndex]}
+			<div class="agentic-turn my-2 hover:bg-muted/80 dark:hover:bg-muted/30">
+				<span class="agentic-turn-label">Turn {turnIndex + 1}</span>
+				{#each turn.sections as section, sIdx (turn.flatIndices[sIdx])}
+					{@render renderSection(section, turn.flatIndices[sIdx])}
+				{/each}
+				{#if turnStats}
+					<div class="turn-stats">
+						<ChatMessageStatistics
+							promptTokens={turnStats.llm.prompt_n}
+							promptMs={turnStats.llm.prompt_ms}
+							predictedTokens={turnStats.llm.predicted_n}
+							predictedMs={turnStats.llm.predicted_ms}
+							agenticTimings={turnStats.toolCalls.length > 0
+								? buildTurnAgenticTimings(turnStats)
+								: undefined}
+							initialView={ChatMessageStatsView.GENERATION}
+							hideSummary
+						/>
+					</div>
+				{/if}
+			</div>
+		{/each}
+	{:else}
+		{#each sectionsParsed as section, index (index)}
+			{@render renderSection(section, index)}
+		{/each}
+	{/if}
+</div>
+
+<style>
+	.agentic-content {
+		display: flex;
+		flex-direction: column;
+		gap: 0.5rem;
+		width: 100%;
+		max-width: 48rem;
+	}
+
+	.agentic-text {
+		width: 100%;
+	}
+
+	.agentic-turn {
+		position: relative;
+		border: 1.5px dashed var(--muted-foreground);
+		border-radius: 0.75rem;
+		padding: 1rem;
+		transition: background 0.1s;
+	}
+
+	.agentic-turn-label {
+		position: absolute;
+		top: -1rem;
+		left: 0.75rem;
+		padding: 0 0.375rem;
+		background: var(--background);
+		font-size: 0.7rem;
+		font-weight: 500;
+		color: var(--muted-foreground);
+		text-transform: uppercase;
+		letter-spacing: 0.05em;
+	}
+
+	.turn-stats {
+		margin-top: 0.75rem;
+		padding-top: 0.5rem;
+		border-top: 1px solid hsl(var(--muted) / 0.5);
+	}
+</style>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
index 2b34b1c20ae..553c3fd9469 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
@@ -1,26 +1,29 @@
 <script lang="ts">
 	import {
-		ModelBadge,
+		ChatMessageAgenticContent,
 		ChatMessageActions,
 		ChatMessageStatistics,
-		ChatMessageThinkingBlock,
-		CopyToClipboardIcon,
 		MarkdownContent,
+		ModelBadge,
 		ModelsSelector
 	} from '$lib/components/app';
+	import { getMessageEditContext } from '$lib/contexts';
 	import { useProcessingState } from '$lib/hooks/use-processing-state.svelte';
-	import { useModelChangeValidation } from '$lib/hooks/use-model-change-validation.svelte';
-	import { isLoading } from '$lib/stores/chat.svelte';
-	import { autoResizeTextarea, copyToClipboard } from '$lib/utils';
+	import { isLoading, isChatStreaming } from '$lib/stores/chat.svelte';
+	import { agenticStreamingToolCall } from '$lib/stores/agentic.svelte';
+	import { autoResizeTextarea, copyToClipboard, isIMEComposing } from '$lib/utils';
+	import { tick } from 'svelte';
 	import { fade } from 'svelte/transition';
-	import { Check, X, Wrench } from '@lucide/svelte';
+	import { Check, X } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import { Checkbox } from '$lib/components/ui/checkbox';
-	import { INPUT_CLASSES } from '$lib/constants/input-classes';
+	import { AGENTIC_TAGS, INPUT_CLASSES, REASONING_TAGS } from '$lib/constants';
+	import { MessageRole, KeyboardKey, ChatMessageStatsView } from '$lib/enums';
 	import Label from '$lib/components/ui/label/label.svelte';
 	import { config } from '$lib/stores/settings.svelte';
-	import { conversationsStore } from '$lib/stores/conversations.svelte';
 	import { isRouterMode } from '$lib/stores/server.svelte';
+	import { modelsStore } from '$lib/stores/models.svelte';
+	import { ServerModelStatus } from '$lib/enums';
 
 	interface Props {
 		class?: string;
@@ -30,150 +33,164 @@
 			assistantMessages: number;
 			messageTypes: string[];
 		} | null;
-		editedContent?: string;
-		isEditing?: boolean;
+		isLastAssistantMessage?: boolean;
 		message: DatabaseMessage;
 		messageContent: string | undefined;
-		onCancelEdit?: () => void;
 		onCopy: () => void;
 		onConfirmDelete: () => void;
 		onContinue?: () => void;
 		onDelete: () => void;
 		onEdit?: () => void;
-		onEditKeydown?: (event: KeyboardEvent) => void;
-		onEditedContentChange?: (content: string) => void;
 		onNavigateToSibling?: (siblingId: string) => void;
 		onRegenerate: (modelOverride?: string) => void;
-		onSaveEdit?: () => void;
 		onShowDeleteDialogChange: (show: boolean) => void;
-		onShouldBranchAfterEditChange?: (value: boolean) => void;
 		showDeleteDialog: boolean;
-		shouldBranchAfterEdit?: boolean;
 		siblingInfo?: ChatMessageSiblingInfo | null;
 		textareaElement?: HTMLTextAreaElement;
-		thinkingContent: string | null;
-		toolCallContent: ApiChatCompletionToolCall[] | string | null;
 	}
 
 	let {
 		class: className = '',
 		deletionInfo,
-		editedContent = '',
-		isEditing = false,
+		isLastAssistantMessage = false,
 		message,
 		messageContent,
-		onCancelEdit,
 		onConfirmDelete,
 		onContinue,
 		onCopy,
 		onDelete,
 		onEdit,
-		onEditKeydown,
-		onEditedContentChange,
 		onNavigateToSibling,
 		onRegenerate,
-		onSaveEdit,
 		onShowDeleteDialogChange,
-		onShouldBranchAfterEditChange,
 		showDeleteDialog,
-		shouldBranchAfterEdit = false,
 		siblingInfo = null,
-		textareaElement = $bindable(),
-		thinkingContent,
-		toolCallContent = null
+		textareaElement = $bindable()
 	}: Props = $props();
 
-	const toolCalls = $derived(
-		Array.isArray(toolCallContent) ? (toolCallContent as ApiChatCompletionToolCall[]) : null
-	);
-	const fallbackToolCalls = $derived(typeof toolCallContent === 'string' ? toolCallContent : null);
+	// Get edit context
+	const editCtx = getMessageEditContext();
 
+	// Local state for assistant-specific editing
+	let shouldBranchAfterEdit = $state(false);
+
+	function handleEditKeydown(event: KeyboardEvent) {
+		if (event.key === KeyboardKey.ENTER && !event.shiftKey && !isIMEComposing(event)) {
+			event.preventDefault();
+			editCtx.save();
+		} else if (event.key === KeyboardKey.ESCAPE) {
+			event.preventDefault();
+			editCtx.cancel();
+		}
+	}
+
+	const hasAgenticMarkers = $derived(
+		messageContent?.includes(AGENTIC_TAGS.TOOL_CALL_START) ?? false
+	);
+	const hasStreamingToolCall = $derived(
+		isChatStreaming() && agenticStreamingToolCall(message.convId) !== null
+	);
+	const hasReasoningMarkers = $derived(messageContent?.includes(REASONING_TAGS.START) ?? false);
+	const isStructuredContent = $derived(
+		hasAgenticMarkers || hasReasoningMarkers || hasStreamingToolCall
+	);
 	const processingState = useProcessingState();
 
 	let currentConfig = $derived(config());
 	let isRouter = $derived(isRouterMode());
-	let displayedModel = $derived((): string | null => {
-		if (message.model) {
-			return message.model;
+	let showRawOutput = $state(false);
+	let activeStatsView = $state<ChatMessageStatsView>(ChatMessageStatsView.GENERATION);
+	let statsContainerEl: HTMLDivElement | undefined = $state();
+
+	function getScrollParent(el: HTMLElement): HTMLElement | null {
+		let parent = el.parentElement;
+		while (parent) {
+			const style = getComputedStyle(parent);
+			if (/(auto|scroll)/.test(style.overflowY)) {
+				return parent;
+			}
+			parent = parent.parentElement;
 		}
-
 		return null;
-	});
-
-	const { handleModelChange } = useModelChangeValidation({
-		getRequiredModalities: () => conversationsStore.getModalitiesUpToMessage(message.id),
-		onSuccess: (modelName) => onRegenerate(modelName)
-	});
-
-	function handleCopyModel() {
-		const model = displayedModel();
-
-		void copyToClipboard(model ?? '');
 	}
 
-	$effect(() => {
-		if (isEditing && textareaElement) {
-			autoResizeTextarea(textareaElement);
+	async function handleStatsViewChange(view: ChatMessageStatsView) {
+		const el = statsContainerEl;
+		if (!el) {
+			activeStatsView = view;
+
+			return;
 		}
-	});
 
-	$effect(() => {
-		if (isLoading() && !message?.content?.trim()) {
-			processingState.startMonitoring();
+		const scrollParent = getScrollParent(el);
+		if (!scrollParent) {
+			activeStatsView = view;
+
+			return;
 		}
-	});
 
-	function formatToolCallBadge(toolCall: ApiChatCompletionToolCall, index: number) {
-		const callNumber = index + 1;
-		const functionName = toolCall.function?.name?.trim();
-		const label = functionName || `Call #${callNumber}`;
+		const yBefore = el.getBoundingClientRect().top;
 
-		const payload: Record<string, unknown> = {};
+		activeStatsView = view;
 
-		const id = toolCall.id?.trim();
-		if (id) {
-			payload.id = id;
-		}
+		await tick();
 
-		const type = toolCall.type?.trim();
-		if (type) {
-			payload.type = type;
+		const delta = el.getBoundingClientRect().top - yBefore;
+		if (delta !== 0) {
+			scrollParent.scrollTop += delta;
 		}
 
-		if (toolCall.function) {
-			const fnPayload: Record<string, unknown> = {};
+		// Correct any drift after browser paint
+		requestAnimationFrame(() => {
+			const drift = el.getBoundingClientRect().top - yBefore;
 
-			const name = toolCall.function.name?.trim();
-			if (name) {
-				fnPayload.name = name;
+			if (Math.abs(drift) > 1) {
+				scrollParent.scrollTop += drift;
 			}
+		});
+	}
 
-			const rawArguments = toolCall.function.arguments?.trim();
-			if (rawArguments) {
-				try {
-					fnPayload.arguments = JSON.parse(rawArguments);
-				} catch {
-					fnPayload.arguments = rawArguments;
-				}
-			}
+	let highlightAgenticTurns = $derived(
+		hasAgenticMarkers &&
+			(currentConfig.alwaysShowAgenticTurns || activeStatsView === ChatMessageStatsView.SUMMARY)
+	);
 
-			if (Object.keys(fnPayload).length > 0) {
-				payload.function = fnPayload;
-			}
-		}
+	let displayedModel = $derived(message.model ?? null);
 
-		const formattedPayload = JSON.stringify(payload, null, 2);
+	let isCurrentlyLoading = $derived(isLoading());
+	let isStreaming = $derived(isChatStreaming());
+	let hasNoContent = $derived(!message?.content?.trim());
+	let isActivelyProcessing = $derived(isCurrentlyLoading || isStreaming);
 
-		return {
-			label,
-			tooltip: formattedPayload,
-			copyValue: formattedPayload
-		};
-	}
+	let showProcessingInfoTop = $derived(
+		message?.role === MessageRole.ASSISTANT &&
+			isActivelyProcessing &&
+			hasNoContent &&
+			isLastAssistantMessage
+	);
 
-	function handleCopyToolCall(payload: string) {
-		void copyToClipboard(payload, 'Tool call copied to clipboard');
+	let showProcessingInfoBottom = $derived(
+		message?.role === MessageRole.ASSISTANT &&
+			isActivelyProcessing &&
+			!hasNoContent &&
+			isLastAssistantMessage
+	);
+
+	function handleCopyModel() {
+		void copyToClipboard(displayedModel ?? '');
 	}
+
+	$effect(() => {
+		if (editCtx.isEditing && textareaElement) {
+			autoResizeTextarea(textareaElement);
+		}
+	});
+
+	$effect(() => {
+		if (showProcessingInfoTop || showProcessingInfoBottom) {
+			processingState.startMonitoring();
+		}
+	});
 </script>
 
 <div
@@ -181,34 +198,28 @@
 	role="group"
 	aria-label="Assistant message with actions"
 >
-	{#if thinkingContent}
-		<ChatMessageThinkingBlock
-			reasoningContent={thinkingContent}
-			isStreaming={!message.timestamp}
-			hasRegularContent={!!messageContent?.trim()}
-		/>
-	{/if}
-
-	{#if message?.role === 'assistant' && isLoading() && !message?.content?.trim()}
+	{#if showProcessingInfoTop}
 		<div class="mt-6 w-full max-w-[48rem]" in:fade>
 			<div class="processing-container">
 				<span class="processing-text">
-					{processingState.getPromptProgressText() ?? processingState.getProcessingMessage()}
+					{processingState.getPromptProgressText() ??
+						processingState.getProcessingMessage() ??
+						'Processing...'}
 				</span>
 			</div>
 		</div>
 	{/if}
 
-	{#if isEditing}
+	{#if editCtx.isEditing}
 		<div class="w-full">
 			<textarea
 				bind:this={textareaElement}
-				bind:value={editedContent}
+				value={editCtx.editedContent}
 				class="min-h-[50vh] w-full resize-y rounded-2xl px-3 py-2 text-sm {INPUT_CLASSES}"
-				onkeydown={onEditKeydown}
+				onkeydown={handleEditKeydown}
 				oninput={(e) => {
 					autoResizeTextarea(e.currentTarget);
-					onEditedContentChange?.(e.currentTarget.value);
+					editCtx.setContent(e.currentTarget.value);
 				}}
 				placeholder="Edit assistant message..."
 			></textarea>
@@ -218,30 +229,42 @@
 					<Checkbox
 						id="branch-after-edit"
 						bind:checked={shouldBranchAfterEdit}
-						onCheckedChange={(checked) => onShouldBranchAfterEditChange?.(checked === true)}
+						onCheckedChange={(checked) => (shouldBranchAfterEdit = checked === true)}
 					/>
 					<Label for="branch-after-edit" class="cursor-pointer text-sm text-muted-foreground">
 						Branch conversation after edit
 					</Label>
 				</div>
 				<div class="flex gap-2">
-					<Button class="h-8 px-3" onclick={onCancelEdit} size="sm" variant="outline">
+					<Button class="h-8 px-3" onclick={editCtx.cancel} size="sm" variant="outline">
 						<X class="mr-1 h-3 w-3" />
 						Cancel
 					</Button>
 
-					<Button class="h-8 px-3" onclick={onSaveEdit} disabled={!editedContent?.trim()} size="sm">
+					<Button
+						class="h-8 px-3"
+						onclick={editCtx.save}
+						disabled={!editCtx.editedContent?.trim()}
+						size="sm"
+					>
 						<Check class="mr-1 h-3 w-3" />
 						Save
 					</Button>
 				</div>
 			</div>
 		</div>
-	{:else if message.role === 'assistant'}
-		{#if config().disableReasoningFormat}
+	{:else if message.role === MessageRole.ASSISTANT}
+		{#if showRawOutput}
 			<pre class="raw-output">{messageContent || ''}</pre>
+		{:else if isStructuredContent}
+			<ChatMessageAgenticContent
+				content={messageContent || ''}
+				isStreaming={isChatStreaming()}
+				highlightTurns={highlightAgenticTurns}
+				{message}
+			/>
 		{:else}
-			<MarkdownContent content={messageContent || ''} />
+			<MarkdownContent content={messageContent || ''} attachments={message.extra} />
 		{/if}
 	{:else}
 		<div class="text-sm whitespace-pre-wrap">
@@ -249,26 +272,52 @@
 		</div>
 	{/if}
 
+	{#if showProcessingInfoBottom}
+		<div class="mt-4 w-full max-w-[48rem]" in:fade>
+			<div class="processing-container">
+				<span class="processing-text">
+					{processingState.getPromptProgressText() ??
+						processingState.getProcessingMessage() ??
+						'Processing...'}
+				</span>
+			</div>
+		</div>
+	{/if}
+
 	<div class="info my-6 grid gap-4 tabular-nums">
-		{#if displayedModel()}
-			<div class="inline-flex flex-wrap items-start gap-2 text-xs text-muted-foreground">
+		{#if displayedModel}
+			<div
+				bind:this={statsContainerEl}
+				class="inline-flex flex-wrap items-start gap-2 text-xs text-muted-foreground"
+			>
 				{#if isRouter}
 					<ModelsSelector
-						currentModel={displayedModel()}
-						onModelChange={handleModelChange}
+						currentModel={displayedModel}
 						disabled={isLoading()}
-						upToMessageId={message.id}
+						onModelChange={async (modelId, modelName) => {
+							const status = modelsStore.getModelStatus(modelId);
+
+							if (status !== ServerModelStatus.LOADED) {
+								await modelsStore.loadModel(modelId);
+							}
+
+							onRegenerate(modelName);
+							return true;
+						}}
 					/>
 				{:else}
-					<ModelBadge model={displayedModel() || undefined} onclick={handleCopyModel} />
+					<ModelBadge model={displayedModel || undefined} onclick={handleCopyModel} />
 				{/if}
 
 				{#if currentConfig.showMessageStats && message.timings && message.timings.predicted_n && message.timings.predicted_ms}
+					{@const agentic = message.timings.agentic}
 					<ChatMessageStatistics
-						promptTokens={message.timings.prompt_n}
-						promptMs={message.timings.prompt_ms}
-						predictedTokens={message.timings.predicted_n}
-						predictedMs={message.timings.predicted_ms}
+						promptTokens={agentic ? agentic.llm.prompt_n : message.timings.prompt_n}
+						promptMs={agentic ? agentic.llm.prompt_ms : message.timings.prompt_ms}
+						predictedTokens={agentic ? agentic.llm.predicted_n : message.timings.predicted_n}
+						predictedMs={agentic ? agentic.llm.predicted_ms : message.timings.predicted_ms}
+						agenticTimings={agentic}
+						onActiveViewChange={handleStatsViewChange}
 					/>
 				{:else if isLoading() && currentConfig.showMessageStats}
 					{@const liveStats = processingState.getLiveProcessingStats()}
@@ -279,7 +328,7 @@
 
 					{#if liveStats || genStats}
 						<ChatMessageStatistics
-							isLive={true}
+							isLive
 							isProcessingPrompt={!!isStillProcessingPrompt}
 							promptTokens={liveStats?.tokensProcessed}
 							promptMs={liveStats?.timeMs}
@@ -290,53 +339,11 @@
 				{/if}
 			</div>
 		{/if}
-
-		{#if config().showToolCalls}
-			{#if (toolCalls && toolCalls.length > 0) || fallbackToolCalls}
-				<span class="inline-flex flex-wrap items-center gap-2 text-xs text-muted-foreground">
-					<span class="inline-flex items-center gap-1">
-						<Wrench class="h-3.5 w-3.5" />
-
-						<span>Tool calls:</span>
-					</span>
-
-					{#if toolCalls && toolCalls.length > 0}
-						{#each toolCalls as toolCall, index (toolCall.id ?? `${index}`)}
-							{@const badge = formatToolCallBadge(toolCall, index)}
-							<button
-								type="button"
-								class="tool-call-badge inline-flex cursor-pointer items-center gap-1 rounded-sm bg-muted-foreground/15 px-1.5 py-0.75"
-								title={badge.tooltip}
-								aria-label={`Copy tool call ${badge.label}`}
-								onclick={() => handleCopyToolCall(badge.copyValue)}
-							>
-								{badge.label}
-								<CopyToClipboardIcon
-									text={badge.copyValue}
-									ariaLabel={`Copy tool call ${badge.label}`}
-								/>
-							</button>
-						{/each}
-					{:else if fallbackToolCalls}
-						<button
-							type="button"
-							class="tool-call-badge tool-call-badge--fallback inline-flex cursor-pointer items-center gap-1 rounded-sm bg-muted-foreground/15 px-1.5 py-0.75"
-							title={fallbackToolCalls}
-							aria-label="Copy tool call payload"
-							onclick={() => handleCopyToolCall(fallbackToolCalls)}
-						>
-							{fallbackToolCalls}
-							<CopyToClipboardIcon text={fallbackToolCalls} ariaLabel="Copy tool call payload" />
-						</button>
-					{/if}
-				</span>
-			{/if}
-		{/if}
 	</div>
 
-	{#if message.timestamp && !isEditing}
+	{#if message.timestamp && !editCtx.isEditing}
 		<ChatMessageActions
-			role="assistant"
+			role={MessageRole.ASSISTANT}
 			justify="start"
 			actionsPosition="left"
 			{siblingInfo}
@@ -345,13 +352,16 @@
 			{onCopy}
 			{onEdit}
 			{onRegenerate}
-			onContinue={currentConfig.enableContinueGeneration && !thinkingContent
+			onContinue={currentConfig.enableContinueGeneration && !hasReasoningMarkers
 				? onContinue
 				: undefined}
 			{onDelete}
 			{onConfirmDelete}
 			{onNavigateToSibling}
 			{onShowDeleteDialogChange}
+			showRawOutputSwitch={currentConfig.showRawOutputSwitch}
+			rawOutputEnabled={showRawOutput}
+			onRawOutputToggle={(enabled) => (showRawOutput = enabled)}
 		/>
 	{/if}
 </div>
@@ -402,17 +412,4 @@
 		white-space: pre-wrap;
 		word-break: break-word;
 	}
-
-	.tool-call-badge {
-		max-width: 12rem;
-		white-space: nowrap;
-		overflow: hidden;
-		text-overflow: ellipsis;
-	}
-
-	.tool-call-badge--fallback {
-		max-width: 20rem;
-		white-space: normal;
-		word-break: break-word;
-	}
 </style>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte
index f812ea2fd9d..1985ae38e7f 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte
@@ -1,79 +1,26 @@
 <script lang="ts">
-	import { X, ArrowUp, Paperclip, AlertTriangle } from '@lucide/svelte';
+	import { X, AlertTriangle } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import { Switch } from '$lib/components/ui/switch';
-	import { ChatAttachmentsList, DialogConfirmation, ModelsSelector } from '$lib/components/app';
-	import { INPUT_CLASSES } from '$lib/constants/input-classes';
-	import { SETTING_CONFIG_DEFAULT } from '$lib/constants/settings-config';
-	import { AttachmentType, FileTypeCategory, MimeTypeText } from '$lib/enums';
-	import { config } from '$lib/stores/settings.svelte';
-	import { useModelChangeValidation } from '$lib/hooks/use-model-change-validation.svelte';
-	import { setEditModeActive, clearEditMode } from '$lib/stores/chat.svelte';
-	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { modelsStore } from '$lib/stores/models.svelte';
-	import { isRouterMode } from '$lib/stores/server.svelte';
-	import {
-		autoResizeTextarea,
-		getFileTypeCategory,
-		getFileTypeCategoryByExtension,
-		parseClipboardContent
-	} from '$lib/utils';
+	import { ChatForm, DialogConfirmation } from '$lib/components/app';
+	import { getMessageEditContext } from '$lib/contexts';
+	import { KeyboardKey } from '$lib/enums';
+	import { chatStore } from '$lib/stores/chat.svelte';
+	import { processFilesToChatUploaded } from '$lib/utils/browser-only';
 
-	interface Props {
-		messageId: string;
-		editedContent: string;
-		editedExtras?: DatabaseMessageExtra[];
-		editedUploadedFiles?: ChatUploadedFile[];
-		originalContent: string;
-		originalExtras?: DatabaseMessageExtra[];
-		showSaveOnlyOption?: boolean;
-		onCancelEdit: () => void;
-		onSaveEdit: () => void;
-		onSaveEditOnly?: () => void;
-		onEditKeydown: (event: KeyboardEvent) => void;
-		onEditedContentChange: (content: string) => void;
-		onEditedExtrasChange?: (extras: DatabaseMessageExtra[]) => void;
-		onEditedUploadedFilesChange?: (files: ChatUploadedFile[]) => void;
-		textareaElement?: HTMLTextAreaElement;
-	}
-
-	let {
-		messageId,
-		editedContent,
-		editedExtras = [],
-		editedUploadedFiles = [],
-		originalContent,
-		originalExtras = [],
-		showSaveOnlyOption = false,
-		onCancelEdit,
-		onSaveEdit,
-		onSaveEditOnly,
-		onEditKeydown,
-		onEditedContentChange,
-		onEditedExtrasChange,
-		onEditedUploadedFilesChange,
-		textareaElement = $bindable()
-	}: Props = $props();
+	const editCtx = getMessageEditContext();
 
-	let fileInputElement: HTMLInputElement | undefined = $state();
+	let inputAreaRef: ChatForm | undefined = $state(undefined);
 	let saveWithoutRegenerate = $state(false);
 	let showDiscardDialog = $state(false);
-	let isRouter = $derived(isRouterMode());
-	let currentConfig = $derived(config());
-
-	let pasteLongTextToFileLength = $derived.by(() => {
-		const n = Number(currentConfig.pasteLongTextToFileLen);
-
-		return Number.isNaN(n) ? Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen) : n;
-	});
 
 	let hasUnsavedChanges = $derived.by(() => {
-		if (editedContent !== originalContent) return true;
-		if (editedUploadedFiles.length > 0) return true;
+		if (editCtx.editedContent !== editCtx.originalContent) return true;
+		if (editCtx.editedUploadedFiles.length > 0) return true;
 
 		const extrasChanged =
-			editedExtras.length !== originalExtras.length ||
-			editedExtras.some((extra, i) => extra !== originalExtras[i]);
+			editCtx.editedExtras.length !== editCtx.originalExtras.length ||
+			editCtx.editedExtras.some((extra, i) => extra !== editCtx.originalExtras[i]);
 
 		if (extrasChanged) return true;
 
@@ -81,77 +28,14 @@
 	});
 
 	let hasAttachments = $derived(
-		(editedExtras && editedExtras.length > 0) ||
-			(editedUploadedFiles && editedUploadedFiles.length > 0)
+		(editCtx.editedExtras && editCtx.editedExtras.length > 0) ||
+			(editCtx.editedUploadedFiles && editCtx.editedUploadedFiles.length > 0)
 	);
 
-	let canSubmit = $derived(editedContent.trim().length > 0 || hasAttachments);
-
-	function getEditedAttachmentsModalities(): ModelModalities {
-		const modalities: ModelModalities = { vision: false, audio: false };
-
-		for (const extra of editedExtras) {
-			if (extra.type === AttachmentType.IMAGE) {
-				modalities.vision = true;
-			}
-
-			if (
-				extra.type === AttachmentType.PDF &&
-				'processedAsImages' in extra &&
-				extra.processedAsImages
-			) {
-				modalities.vision = true;
-			}
-
-			if (extra.type === AttachmentType.AUDIO) {
-				modalities.audio = true;
-			}
-		}
-
-		for (const file of editedUploadedFiles) {
-			const category = getFileTypeCategory(file.type) || getFileTypeCategoryByExtension(file.name);
-			if (category === FileTypeCategory.IMAGE) {
-				modalities.vision = true;
-			}
-			if (category === FileTypeCategory.AUDIO) {
-				modalities.audio = true;
-			}
-		}
-
-		return modalities;
-	}
-
-	function getRequiredModalities(): ModelModalities {
-		const beforeModalities = conversationsStore.getModalitiesUpToMessage(messageId);
-		const editedModalities = getEditedAttachmentsModalities();
-
-		return {
-			vision: beforeModalities.vision || editedModalities.vision,
-			audio: beforeModalities.audio || editedModalities.audio
-		};
-	}
-
-	const { handleModelChange } = useModelChangeValidation({
-		getRequiredModalities,
-		onValidationFailure: async (previousModelId) => {
-			if (previousModelId) {
-				await modelsStore.selectModelById(previousModelId);
-			}
-		}
-	});
-
-	function handleFileInputChange(event: Event) {
-		const input = event.target as HTMLInputElement;
-		if (!input.files || input.files.length === 0) return;
-
-		const files = Array.from(input.files);
-
-		processNewFiles(files);
-		input.value = '';
-	}
+	let canSubmit = $derived(editCtx.editedContent.trim().length > 0 || hasAttachments);
 
 	function handleGlobalKeydown(event: KeyboardEvent) {
-		if (event.key === 'Escape') {
+		if (event.key === KeyboardKey.ESCAPE) {
 			event.preventDefault();
 			attemptCancel();
 		}
@@ -161,205 +45,72 @@
 		if (hasUnsavedChanges) {
 			showDiscardDialog = true;
 		} else {
-			onCancelEdit();
+			editCtx.cancel();
 		}
 	}
 
-	function handleRemoveExistingAttachment(index: number) {
-		if (!onEditedExtrasChange) return;
-
-		const newExtras = [...editedExtras];
-
-		newExtras.splice(index, 1);
-		onEditedExtrasChange(newExtras);
-	}
-
-	function handleRemoveUploadedFile(fileId: string) {
-		if (!onEditedUploadedFilesChange) return;
-
-		const newFiles = editedUploadedFiles.filter((f) => f.id !== fileId);
-
-		onEditedUploadedFilesChange(newFiles);
-	}
-
 	function handleSubmit() {
 		if (!canSubmit) return;
 
-		if (saveWithoutRegenerate && onSaveEditOnly) {
-			onSaveEditOnly();
+		if (saveWithoutRegenerate && editCtx.showSaveOnlyOption) {
+			editCtx.saveOnly();
 		} else {
-			onSaveEdit();
+			editCtx.save();
 		}
 
 		saveWithoutRegenerate = false;
 	}
 
-	async function processNewFiles(files: File[]) {
-		if (!onEditedUploadedFilesChange) return;
-
-		const { processFilesToChatUploaded } = await import('$lib/utils/browser-only');
-		const processed = await processFilesToChatUploaded(files);
-
-		onEditedUploadedFilesChange([...editedUploadedFiles, ...processed]);
+	function handleAttachmentRemove(index: number) {
+		const newExtras = [...editCtx.editedExtras];
+		newExtras.splice(index, 1);
+		editCtx.setExtras(newExtras);
 	}
 
-	function handlePaste(event: ClipboardEvent) {
-		if (!event.clipboardData) return;
-
-		const files = Array.from(event.clipboardData.items)
-			.filter((item) => item.kind === 'file')
-			.map((item) => item.getAsFile())
-			.filter((file): file is File => file !== null);
-
-		if (files.length > 0) {
-			event.preventDefault();
-			processNewFiles(files);
-
-			return;
-		}
-
-		const text = event.clipboardData.getData(MimeTypeText.PLAIN);
-
-		if (text.startsWith('"')) {
-			const parsed = parseClipboardContent(text);
-
-			if (parsed.textAttachments.length > 0) {
-				event.preventDefault();
-				onEditedContentChange(parsed.message);
-
-				const attachmentFiles = parsed.textAttachments.map(
-					(att) =>
-						new File([att.content], att.name, {
-							type: MimeTypeText.PLAIN
-						})
-				);
-
-				processNewFiles(attachmentFiles);
-
-				setTimeout(() => {
-					textareaElement?.focus();
-				}, 10);
-
-				return;
-			}
-		}
-
-		if (
-			text.length > 0 &&
-			pasteLongTextToFileLength > 0 &&
-			text.length > pasteLongTextToFileLength
-		) {
-			event.preventDefault();
-
-			const textFile = new File([text], 'Pasted', {
-				type: MimeTypeText.PLAIN
-			});
+	function handleUploadedFileRemove(fileId: string) {
+		const newFiles = editCtx.editedUploadedFiles.filter((f) => f.id !== fileId);
+		editCtx.setUploadedFiles(newFiles);
+	}
 
-			processNewFiles([textFile]);
-		}
+	async function handleFilesAdd(files: File[]) {
+		const processed = await processFilesToChatUploaded(files);
+		editCtx.setUploadedFiles([...editCtx.editedUploadedFiles, ...processed]);
 	}
 
-	$effect(() => {
-		if (textareaElement) {
-			autoResizeTextarea(textareaElement);
-		}
-	});
+	function handleUploadedFilesChange(files: ChatUploadedFile[]) {
+		editCtx.setUploadedFiles(files);
+	}
 
 	$effect(() => {
-		setEditModeActive(processNewFiles);
+		chatStore.setEditModeActive(handleFilesAdd);
 
 		return () => {
-			clearEditMode();
+			chatStore.clearEditMode();
 		};
 	});
 </script>
 
 <svelte:window onkeydown={handleGlobalKeydown} />
 
-<input
-	bind:this={fileInputElement}
-	type="file"
-	multiple
-	class="hidden"
-	onchange={handleFileInputChange}
-/>
-
-<div
-	class="{INPUT_CLASSES} w-full max-w-[80%] overflow-hidden rounded-3xl backdrop-blur-md"
-	data-slot="edit-form"
->
-	<ChatAttachmentsList
-		attachments={editedExtras}
-		uploadedFiles={editedUploadedFiles}
-		readonly={false}
-		onFileRemove={(fileId) => {
-			if (fileId.startsWith('attachment-')) {
-				const index = parseInt(fileId.replace('attachment-', ''), 10);
-				if (!isNaN(index) && index >= 0 && index < editedExtras.length) {
-					handleRemoveExistingAttachment(index);
-				}
-			} else {
-				handleRemoveUploadedFile(fileId);
-			}
-		}}
-		limitToSingleRow
-		class="py-5"
-		style="scroll-padding: 1rem;"
+<div class="relative w-full max-w-[80%]">
+	<ChatForm
+		bind:this={inputAreaRef}
+		value={editCtx.editedContent}
+		attachments={editCtx.editedExtras}
+		uploadedFiles={editCtx.editedUploadedFiles}
+		placeholder="Edit your message..."
+		showMcpPromptButton
+		onValueChange={editCtx.setContent}
+		onAttachmentRemove={handleAttachmentRemove}
+		onUploadedFileRemove={handleUploadedFileRemove}
+		onUploadedFilesChange={handleUploadedFilesChange}
+		onFilesAdd={handleFilesAdd}
+		onSubmit={handleSubmit}
 	/>
-
-	<div class="relative min-h-[48px] px-5 py-3">
-		<textarea
-			bind:this={textareaElement}
-			bind:value={editedContent}
-			class="field-sizing-content max-h-80 min-h-10 w-full resize-none bg-transparent text-sm outline-none"
-			onkeydown={onEditKeydown}
-			oninput={(e) => {
-				autoResizeTextarea(e.currentTarget);
-				onEditedContentChange(e.currentTarget.value);
-			}}
-			onpaste={handlePaste}
-			placeholder="Edit your message..."
-		></textarea>
-
-		<div class="flex w-full items-center gap-3" style="container-type: inline-size">
-			<Button
-				class="h-8 w-8 shrink-0 rounded-full bg-transparent p-0 text-muted-foreground hover:bg-foreground/10 hover:text-foreground"
-				onclick={() => fileInputElement?.click()}
-				type="button"
-				title="Add attachment"
-			>
-				<span class="sr-only">Attach files</span>
-
-				<Paperclip class="h-4 w-4" />
-			</Button>
-
-			<div class="flex-1"></div>
-
-			{#if isRouter}
-				<ModelsSelector
-					forceForegroundText={true}
-					useGlobalSelection={true}
-					onModelChange={handleModelChange}
-				/>
-			{/if}
-
-			<Button
-				class="h-8 w-8 shrink-0 rounded-full p-0"
-				onclick={handleSubmit}
-				disabled={!canSubmit}
-				type="button"
-				title={saveWithoutRegenerate ? 'Save changes' : 'Send and regenerate'}
-			>
-				<span class="sr-only">{saveWithoutRegenerate ? 'Save' : 'Send'}</span>
-
-				<ArrowUp class="h-5 w-5" />
-			</Button>
-		</div>
-	</div>
 </div>
 
 <div class="mt-2 flex w-full max-w-[80%] items-center justify-between">
-	{#if showSaveOnlyOption && onSaveEditOnly}
+	{#if editCtx.showSaveOnlyOption}
 		<div class="flex items-center gap-2">
 			<Switch id="save-only-switch" bind:checked={saveWithoutRegenerate} class="scale-75" />
 
@@ -386,6 +137,6 @@
 	cancelText="Keep editing"
 	variant="destructive"
 	icon={AlertTriangle}
-	onConfirm={onCancelEdit}
+	onConfirm={editCtx.cancel}
 	onCancel={() => (showDiscardDialog = false)}
 />
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPrompt.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPrompt.svelte
new file mode 100644
index 00000000000..72ece2b8e22
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPrompt.svelte
@@ -0,0 +1,83 @@
+<script lang="ts">
+	import {
+		ChatMessageActions,
+		ChatMessageEditForm,
+		ChatMessageMcpPromptContent
+	} from '$lib/components/app';
+	import { getMessageEditContext } from '$lib/contexts';
+	import { MessageRole, McpPromptVariant } from '$lib/enums';
+	import type { DatabaseMessageExtraMcpPrompt } from '$lib/types';
+
+	interface Props {
+		class?: string;
+		message: DatabaseMessage;
+		mcpPrompt: DatabaseMessageExtraMcpPrompt;
+		siblingInfo?: ChatMessageSiblingInfo | null;
+		showDeleteDialog: boolean;
+		deletionInfo: {
+			totalCount: number;
+			userMessages: number;
+			assistantMessages: number;
+			messageTypes: string[];
+		} | null;
+		onCopy: () => void;
+		onEdit: () => void;
+		onDelete: () => void;
+		onConfirmDelete: () => void;
+		onNavigateToSibling?: (siblingId: string) => void;
+		onShowDeleteDialogChange: (show: boolean) => void;
+	}
+
+	let {
+		class: className = '',
+		message,
+		mcpPrompt,
+		siblingInfo = null,
+		showDeleteDialog,
+		deletionInfo,
+		onCopy,
+		onEdit,
+		onDelete,
+		onConfirmDelete,
+		onNavigateToSibling,
+		onShowDeleteDialogChange
+	}: Props = $props();
+
+	// Get edit context
+	const editCtx = getMessageEditContext();
+</script>
+
+<div
+	aria-label="MCP Prompt message with actions"
+	class="group flex flex-col items-end gap-3 md:gap-2 {className}"
+	role="group"
+>
+	{#if editCtx.isEditing}
+		<ChatMessageEditForm />
+	{:else}
+		<ChatMessageMcpPromptContent
+			prompt={mcpPrompt}
+			variant={McpPromptVariant.MESSAGE}
+			class="w-full max-w-[80%]"
+		/>
+
+		{#if message.timestamp}
+			<div class="max-w-[80%]">
+				<ChatMessageActions
+					actionsPosition="right"
+					{deletionInfo}
+					justify="end"
+					{onConfirmDelete}
+					{onCopy}
+					{onDelete}
+					{onEdit}
+					{onNavigateToSibling}
+					{onShowDeleteDialogChange}
+					{siblingInfo}
+					{showDeleteDialog}
+					role={MessageRole.USER}
+				/>
+			</div>
+		{/if}
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPromptContent.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPromptContent.svelte
new file mode 100644
index 00000000000..3d5dec3b6ac
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPromptContent.svelte
@@ -0,0 +1,197 @@
+<script lang="ts">
+	import { Card } from '$lib/components/ui/card';
+	import type { DatabaseMessageExtraMcpPrompt } from '$lib/types';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { SvelteMap } from 'svelte/reactivity';
+	import { McpPromptVariant } from '$lib/enums';
+	import { TruncatedText } from '$lib/components/app/misc';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+
+	interface ContentPart {
+		text: string;
+		argKey: string | null;
+	}
+
+	interface Props {
+		class?: string;
+		prompt: DatabaseMessageExtraMcpPrompt;
+		variant?: McpPromptVariant;
+		isLoading?: boolean;
+		loadError?: string;
+	}
+
+	let {
+		class: className = '',
+		prompt,
+		variant = McpPromptVariant.MESSAGE,
+		isLoading = false,
+		loadError
+	}: Props = $props();
+
+	let hoveredArgKey = $state<string | null>(null);
+	let argumentEntries = $derived(Object.entries(prompt.arguments ?? {}));
+	let hasArguments = $derived(prompt.arguments && Object.keys(prompt.arguments).length > 0);
+	let hasContent = $derived(prompt.content && prompt.content.trim().length > 0);
+
+	let contentParts = $derived.by((): ContentPart[] => {
+		if (!prompt.content || !hasArguments) {
+			return [{ text: prompt.content || '', argKey: null }];
+		}
+
+		const parts: ContentPart[] = [];
+		let remaining = prompt.content;
+
+		const valueToKey = new SvelteMap<string, string>();
+		for (const [key, value] of argumentEntries) {
+			if (value && value.trim()) {
+				valueToKey.set(value, key);
+			}
+		}
+
+		const sortedValues = [...valueToKey.keys()].sort((a, b) => b.length - a.length);
+
+		while (remaining.length > 0) {
+			let earliestMatch: { index: number; value: string; key: string } | null = null;
+
+			for (const value of sortedValues) {
+				const index = remaining.indexOf(value);
+				if (index !== -1 && (earliestMatch === null || index < earliestMatch.index)) {
+					earliestMatch = { index, value, key: valueToKey.get(value)! };
+				}
+			}
+
+			if (earliestMatch) {
+				if (earliestMatch.index > 0) {
+					parts.push({ text: remaining.slice(0, earliestMatch.index), argKey: null });
+				}
+
+				parts.push({ text: earliestMatch.value, argKey: earliestMatch.key });
+				remaining = remaining.slice(earliestMatch.index + earliestMatch.value.length);
+			} else {
+				parts.push({ text: remaining, argKey: null });
+
+				break;
+			}
+		}
+
+		return parts;
+	});
+
+	let showArgBadges = $derived(hasArguments && !isLoading && !loadError);
+	let isAttachment = $derived(variant === McpPromptVariant.ATTACHMENT);
+	let textSizeClass = $derived(isAttachment ? 'text-xs' : 'text-md');
+	let paddingClass = $derived(isAttachment ? 'px-3 py-2' : 'px-3.75 py-2.5');
+	let maxHeightStyle = $derived(
+		isAttachment ? 'max-height: 6rem;' : 'max-height: var(--max-message-height);'
+	);
+
+	const serverFavicon = $derived(mcpStore.getServerFavicon(prompt.serverName));
+	const serverDisplayName = $derived(mcpStore.getServerDisplayName(prompt.serverName));
+</script>
+
+<div class="flex flex-col gap-2 {className}">
+	<div class="flex items-center justify-between gap-2">
+		<div class="inline-flex flex-wrap items-center gap-1.25 text-xs text-muted-foreground">
+			<Tooltip.Root>
+				<Tooltip.Trigger>
+					{#if serverFavicon}
+						<img
+							src={serverFavicon}
+							alt=""
+							class="h-3.5 w-3.5 shrink-0 rounded-sm"
+							onerror={(e) => {
+								(e.currentTarget as HTMLImageElement).style.display = 'none';
+							}}
+						/>
+					{/if}
+				</Tooltip.Trigger>
+
+				<Tooltip.Content>
+					<span>{serverDisplayName}</span>
+				</Tooltip.Content>
+			</Tooltip.Root>
+
+			<TruncatedText text={prompt.name} />
+		</div>
+
+		{#if showArgBadges}
+			<div class="flex flex-wrap justify-end gap-1">
+				{#each argumentEntries as [key, value] (key)}
+					<Tooltip.Root>
+						<Tooltip.Trigger>
+							<!-- svelte-ignore a11y_no_static_element_interactions -->
+							<span
+								class="rounded-sm bg-purple-200/60 px-1.5 py-0.5 text-[10px] leading-none text-purple-700 transition-opacity dark:bg-purple-800/40 dark:text-purple-300 {hoveredArgKey &&
+								hoveredArgKey !== key
+									? 'opacity-30'
+									: ''}"
+								onmouseenter={() => (hoveredArgKey = key)}
+								onmouseleave={() => (hoveredArgKey = null)}
+							>
+								{key}
+							</span>
+						</Tooltip.Trigger>
+
+						<Tooltip.Content>
+							<span class="max-w-xs break-all">{value}</span>
+						</Tooltip.Content>
+					</Tooltip.Root>
+				{/each}
+			</div>
+		{/if}
+	</div>
+
+	{#if loadError}
+		<Card
+			class="relative overflow-hidden rounded-[1.125rem] border border-destructive/50 bg-destructive/10 backdrop-blur-md"
+		>
+			<div
+				class="overflow-y-auto {paddingClass}"
+				style="{maxHeightStyle} overflow-wrap: anywhere; word-break: break-word;"
+			>
+				<span class="{textSizeClass} text-destructive">{loadError}</span>
+			</div>
+		</Card>
+	{:else if isLoading}
+		<Card
+			class="relative overflow-hidden rounded-[1.125rem] border border-purple-200 bg-purple-500/10 px-1 py-2 backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20"
+		>
+			<div
+				class="overflow-y-auto {paddingClass}"
+				style="{maxHeightStyle} overflow-wrap: anywhere; word-break: break-word;"
+			>
+				<div class="space-y-2">
+					<div class="h-3 w-3/4 animate-pulse rounded bg-foreground/20"></div>
+
+					<div class="h-3 w-full animate-pulse rounded bg-foreground/20"></div>
+
+					<div class="h-3 w-5/6 animate-pulse rounded bg-foreground/20"></div>
+				</div>
+			</div>
+		</Card>
+	{:else if hasContent}
+		<Card
+			class="relative overflow-hidden rounded-[1.125rem] border border-purple-200 bg-purple-500/10 py-0 text-foreground backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20"
+		>
+			<div
+				class="overflow-y-auto {paddingClass}"
+				style="{maxHeightStyle} overflow-wrap: anywhere; word-break: break-word;"
+			>
+				<span class="{textSizeClass} whitespace-pre-wrap">
+					<!-- This formatting is needed to keep the text in proper shape -->
+					<!-- svelte-ignore a11y_no_static_element_interactions -->
+					{#each contentParts as part, i (i)}{#if part.argKey}<span
+								class="rounded-sm bg-purple-300/50 px-0.5 text-purple-900 transition-opacity dark:bg-purple-700/50 dark:text-purple-100 {hoveredArgKey &&
+								hoveredArgKey !== part.argKey
+									? 'opacity-30'
+									: ''}"
+								onmouseenter={() => (hoveredArgKey = part.argKey)}
+								onmouseleave={() => (hoveredArgKey = null)}>{part.text}</span
+							>{:else}<span class="transition-opacity {hoveredArgKey ? 'opacity-30' : ''}"
+								>{part.text}</span
+							>{/if}{/each}</span
+				>
+			</div>
+		</Card>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte
index 24fe5926bad..945dec9c5e9 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte
@@ -1,20 +1,23 @@
 <script lang="ts">
-	import { Clock, Gauge, WholeWord, BookOpenText, Sparkles } from '@lucide/svelte';
+	import { Clock, Gauge, WholeWord, BookOpenText, Sparkles, Wrench, Layers } from '@lucide/svelte';
 	import { BadgeChatStatistic } from '$lib/components/app';
 	import * as Tooltip from '$lib/components/ui/tooltip';
 	import { ChatMessageStatsView } from '$lib/enums';
+	import type { ChatMessageAgenticTimings } from '$lib/types/chat';
+	import { formatPerformanceTime } from '$lib/utils';
+	import { MS_PER_SECOND, DEFAULT_PERFORMANCE_TIME } from '$lib/constants';
 
 	interface Props {
 		predictedTokens?: number;
 		predictedMs?: number;
 		promptTokens?: number;
 		promptMs?: number;
-		// Live mode: when true, shows stats during streaming
 		isLive?: boolean;
-		// Whether prompt processing is still in progress
 		isProcessingPrompt?: boolean;
-		// Initial view to show (defaults to READING in live mode)
 		initialView?: ChatMessageStatsView;
+		agenticTimings?: ChatMessageAgenticTimings;
+		onActiveViewChange?: (view: ChatMessageStatsView) => void;
+		hideSummary?: boolean;
 	}
 
 	let {
@@ -24,12 +27,19 @@
 		promptMs,
 		isLive = false,
 		isProcessingPrompt = false,
-		initialView = ChatMessageStatsView.GENERATION
+		initialView = ChatMessageStatsView.GENERATION,
+		agenticTimings,
+		onActiveViewChange,
+		hideSummary = false
 	}: Props = $props();
 
-	let activeView: ChatMessageStatsView = $state(initialView);
+	let activeView: ChatMessageStatsView = $derived(initialView);
 	let hasAutoSwitchedToGeneration = $state(false);
 
+	$effect(() => {
+		onActiveViewChange?.(activeView);
+	});
+
 	// In live mode: auto-switch to GENERATION tab when prompt processing completes
 	$effect(() => {
 		if (isLive) {
@@ -56,30 +66,52 @@
 			predictedMs > 0
 	);
 
-	let tokensPerSecond = $derived(hasGenerationStats ? (predictedTokens! / predictedMs!) * 1000 : 0);
-	let timeInSeconds = $derived(
-		predictedMs !== undefined ? (predictedMs / 1000).toFixed(2) : '0.00'
+	let tokensPerSecond = $derived(
+		hasGenerationStats ? (predictedTokens! / predictedMs!) * MS_PER_SECOND : 0
+	);
+	let formattedTime = $derived(
+		predictedMs !== undefined ? formatPerformanceTime(predictedMs) : DEFAULT_PERFORMANCE_TIME
 	);
 
 	let promptTokensPerSecond = $derived(
 		promptTokens !== undefined && promptMs !== undefined && promptMs > 0
-			? (promptTokens / promptMs) * 1000
+			? (promptTokens / promptMs) * MS_PER_SECOND
 			: undefined
 	);
 
-	let promptTimeInSeconds = $derived(
-		promptMs !== undefined ? (promptMs / 1000).toFixed(2) : undefined
+	let formattedPromptTime = $derived(
+		promptMs !== undefined ? formatPerformanceTime(promptMs) : undefined
 	);
 
 	let hasPromptStats = $derived(
 		promptTokens !== undefined &&
 			promptMs !== undefined &&
 			promptTokensPerSecond !== undefined &&
-			promptTimeInSeconds !== undefined
+			formattedPromptTime !== undefined
 	);
 
 	// In live mode, generation tab is disabled until we have generation stats
 	let isGenerationDisabled = $derived(isLive && !hasGenerationStats);
+
+	let hasAgenticStats = $derived(agenticTimings !== undefined && agenticTimings.toolCallsCount > 0);
+
+	let agenticToolsPerSecond = $derived(
+		hasAgenticStats && agenticTimings!.toolsMs > 0
+			? (agenticTimings!.toolCallsCount / agenticTimings!.toolsMs) * MS_PER_SECOND
+			: 0
+	);
+
+	let formattedAgenticToolsTime = $derived(
+		hasAgenticStats ? formatPerformanceTime(agenticTimings!.toolsMs) : DEFAULT_PERFORMANCE_TIME
+	);
+
+	let agenticTotalTimeMs = $derived(
+		hasAgenticStats
+			? agenticTimings!.toolsMs + agenticTimings!.llm.predicted_ms + agenticTimings!.llm.prompt_ms
+			: 0
+	);
+
+	let formattedAgenticTotalTime = $derived(formatPerformanceTime(agenticTotalTimeMs));
 </script>
 
 <div class="inline-flex items-center text-xs text-muted-foreground">
@@ -96,9 +128,11 @@
 						onclick={() => (activeView = ChatMessageStatsView.READING)}
 					>
 						<BookOpenText class="h-3 w-3" />
+
 						<span class="sr-only">Reading</span>
 					</button>
 				</Tooltip.Trigger>
+
 				<Tooltip.Content>
 					<p>Reading (prompt processing)</p>
 				</Tooltip.Content>
@@ -118,9 +152,11 @@
 					disabled={isGenerationDisabled}
 				>
 					<Sparkles class="h-3 w-3" />
+
 					<span class="sr-only">Generation</span>
 				</button>
 			</Tooltip.Trigger>
+
 			<Tooltip.Content>
 				<p>
 					{isGenerationDisabled
@@ -129,6 +165,52 @@
 				</p>
 			</Tooltip.Content>
 		</Tooltip.Root>
+
+		{#if hasAgenticStats}
+			<Tooltip.Root>
+				<Tooltip.Trigger>
+					<button
+						type="button"
+						class="inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors {activeView ===
+						ChatMessageStatsView.TOOLS
+							? 'bg-background text-foreground shadow-sm'
+							: 'hover:text-foreground'}"
+						onclick={() => (activeView = ChatMessageStatsView.TOOLS)}
+					>
+						<Wrench class="h-3 w-3" />
+
+						<span class="sr-only">Tools</span>
+					</button>
+				</Tooltip.Trigger>
+
+				<Tooltip.Content>
+					<p>Tool calls</p>
+				</Tooltip.Content>
+			</Tooltip.Root>
+
+			{#if !hideSummary}
+				<Tooltip.Root>
+					<Tooltip.Trigger>
+						<button
+							type="button"
+							class="inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors {activeView ===
+							ChatMessageStatsView.SUMMARY
+								? 'bg-background text-foreground shadow-sm'
+								: 'hover:text-foreground'}"
+							onclick={() => (activeView = ChatMessageStatsView.SUMMARY)}
+						>
+							<Layers class="h-3 w-3" />
+
+							<span class="sr-only">Summary</span>
+						</button>
+					</Tooltip.Trigger>
+
+					<Tooltip.Content>
+						<p>Agentic summary</p>
+					</Tooltip.Content>
+				</Tooltip.Root>
+			{/if}
+		{/if}
 	</div>
 
 	<div class="flex items-center gap-1 px-2">
@@ -139,18 +221,62 @@
 				value="{predictedTokens?.toLocaleString()} tokens"
 				tooltipLabel="Generated tokens"
 			/>
+
 			<BadgeChatStatistic
 				class="bg-transparent"
 				icon={Clock}
-				value="{timeInSeconds}s"
+				value={formattedTime}
 				tooltipLabel="Generation time"
 			/>
+
 			<BadgeChatStatistic
 				class="bg-transparent"
 				icon={Gauge}
-				value="{tokensPerSecond.toFixed(2)} tokens/s"
+				value="{tokensPerSecond.toFixed(2)} t/s"
 				tooltipLabel="Generation speed"
 			/>
+		{:else if activeView === ChatMessageStatsView.TOOLS && hasAgenticStats}
+			<BadgeChatStatistic
+				class="bg-transparent"
+				icon={Wrench}
+				value="{agenticTimings!.toolCallsCount} calls"
+				tooltipLabel="Tool calls executed"
+			/>
+
+			<BadgeChatStatistic
+				class="bg-transparent"
+				icon={Clock}
+				value={formattedAgenticToolsTime}
+				tooltipLabel="Tool execution time"
+			/>
+
+			<BadgeChatStatistic
+				class="bg-transparent"
+				icon={Gauge}
+				value="{agenticToolsPerSecond.toFixed(2)} calls/s"
+				tooltipLabel="Tool execution rate"
+			/>
+		{:else if activeView === ChatMessageStatsView.SUMMARY && hasAgenticStats}
+			<BadgeChatStatistic
+				class="bg-transparent"
+				icon={Layers}
+				value="{agenticTimings!.turns} turns"
+				tooltipLabel="Agentic turns (LLM calls)"
+			/>
+
+			<BadgeChatStatistic
+				class="bg-transparent"
+				icon={WholeWord}
+				value="{agenticTimings!.llm.predicted_n.toLocaleString()} tokens"
+				tooltipLabel="Total tokens generated"
+			/>
+
+			<BadgeChatStatistic
+				class="bg-transparent"
+				icon={Clock}
+				value={formattedAgenticTotalTime}
+				tooltipLabel="Total time (LLM + tools)"
+			/>
 		{:else if hasPromptStats}
 			<BadgeChatStatistic
 				class="bg-transparent"
@@ -158,12 +284,14 @@
 				value="{promptTokens} tokens"
 				tooltipLabel="Prompt tokens"
 			/>
+
 			<BadgeChatStatistic
 				class="bg-transparent"
 				icon={Clock}
-				value="{promptTimeInSeconds}s"
+				value={formattedPromptTime ?? '0s'}
 				tooltipLabel="Prompt processing time"
 			/>
+
 			<BadgeChatStatistic
 				class="bg-transparent"
 				icon={Gauge}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte
index c203822f604..a27616f9bed 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte
@@ -3,15 +3,16 @@
 	import { Card } from '$lib/components/ui/card';
 	import { Button } from '$lib/components/ui/button';
 	import { MarkdownContent } from '$lib/components/app';
-	import { INPUT_CLASSES } from '$lib/constants/input-classes';
+	import { getMessageEditContext } from '$lib/contexts';
+	import { INPUT_CLASSES } from '$lib/constants';
 	import { config } from '$lib/stores/settings.svelte';
+	import { isIMEComposing } from '$lib/utils';
 	import ChatMessageActions from './ChatMessageActions.svelte';
+	import { KeyboardKey, MessageRole } from '$lib/enums';
 
 	interface Props {
 		class?: string;
 		message: DatabaseMessage;
-		isEditing: boolean;
-		editedContent: string;
 		siblingInfo?: ChatMessageSiblingInfo | null;
 		showDeleteDialog: boolean;
 		deletionInfo: {
@@ -20,10 +21,6 @@
 			assistantMessages: number;
 			messageTypes: string[];
 		} | null;
-		onCancelEdit: () => void;
-		onSaveEdit: () => void;
-		onEditKeydown: (event: KeyboardEvent) => void;
-		onEditedContentChange: (content: string) => void;
 		onCopy: () => void;
 		onEdit: () => void;
 		onDelete: () => void;
@@ -36,15 +33,9 @@
 	let {
 		class: className = '',
 		message,
-		isEditing,
-		editedContent,
 		siblingInfo = null,
 		showDeleteDialog,
 		deletionInfo,
-		onCancelEdit,
-		onSaveEdit,
-		onEditKeydown,
-		onEditedContentChange,
 		onCopy,
 		onEdit,
 		onDelete,
@@ -54,10 +45,25 @@
 		textareaElement = $bindable()
 	}: Props = $props();
 
+	const editCtx = getMessageEditContext();
+
+	function handleEditKeydown(event: KeyboardEvent) {
+		if (event.key === KeyboardKey.ENTER && !event.shiftKey && !isIMEComposing(event)) {
+			event.preventDefault();
+
+			editCtx.save();
+		} else if (event.key === KeyboardKey.ESCAPE) {
+			event.preventDefault();
+
+			editCtx.cancel();
+		}
+	}
+
 	let isMultiline = $state(false);
 	let messageElement: HTMLElement | undefined = $state();
 	let isExpanded = $state(false);
 	let contentHeight = $state(0);
+
 	const MAX_HEIGHT = 200; // pixels
 	const currentConfig = config();
 
@@ -97,26 +103,33 @@
 	class="group flex flex-col items-end gap-3 md:gap-2 {className}"
 	role="group"
 >
-	{#if isEditing}
+	{#if editCtx.isEditing}
 		<div class="w-full max-w-[80%]">
 			<textarea
 				bind:this={textareaElement}
-				bind:value={editedContent}
+				value={editCtx.editedContent}
 				class="min-h-[60px] w-full resize-none rounded-2xl px-3 py-2 text-sm {INPUT_CLASSES}"
-				onkeydown={onEditKeydown}
-				oninput={(e) => onEditedContentChange(e.currentTarget.value)}
+				onkeydown={handleEditKeydown}
+				oninput={(e) => editCtx.setContent(e.currentTarget.value)}
 				placeholder="Edit system message..."
 			></textarea>
 
 			<div class="mt-2 flex justify-end gap-2">
-				<Button class="h-8 px-3" onclick={onCancelEdit} size="sm" variant="outline">
+				<Button class="h-8 px-3" onclick={editCtx.cancel} size="sm" variant="outline">
 					<X class="mr-1 h-3 w-3" />
+
 					Cancel
 				</Button>
 
-				<Button class="h-8 px-3" onclick={onSaveEdit} disabled={!editedContent.trim()} size="sm">
+				<Button
+					class="h-8 px-3"
+					onclick={editCtx.save}
+					disabled={!editCtx.editedContent.trim()}
+					size="sm"
+				>
 					<Check class="mr-1 h-3 w-3" />
-					Send
+
+					Save
 				</Button>
 			</div>
 		</div>
@@ -131,12 +144,12 @@
 					type="button"
 				>
 					<Card
-						class="rounded-[1.125rem] !border-2 !border-dashed !border-border/50 bg-muted px-3.75 py-1.5 data-[multiline]:py-2.5"
+						class="overflow-y-auto rounded-[1.125rem] !border-2 !border-dashed !border-border/50 bg-muted px-3.75 py-1.5 data-[multiline]:py-2.5"
 						data-multiline={isMultiline ? '' : undefined}
-						style="border: 2px dashed hsl(var(--border));"
+						style="border: 2px dashed hsl(var(--border)); max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;"
 					>
 						<div
-							class="relative overflow-hidden transition-all duration-300 {isExpanded
+							class="relative transition-all duration-300 {isExpanded
 								? 'cursor-text select-text'
 								: 'select-none'}"
 							style={!isExpanded && showExpandButton
@@ -144,8 +157,11 @@
 								: 'max-height: none;'}
 						>
 							{#if currentConfig.renderUserContentAsMarkdown}
-								<div bind:this={messageElement} class="text-md {isExpanded ? 'cursor-text' : ''}">
-									<MarkdownContent class="markdown-system-content" content={message.content} />
+								<div bind:this={messageElement} class={isExpanded ? 'cursor-text' : ''}>
+									<MarkdownContent
+										class="markdown-system-content -my-4"
+										content={message.content}
+									/>
 								</div>
 							{:else}
 								<span
@@ -160,6 +176,7 @@
 								<div
 									class="pointer-events-none absolute right-0 bottom-0 left-0 h-48 bg-gradient-to-t from-muted to-transparent"
 								></div>
+
 								<div
 									class="pointer-events-none absolute right-0 bottom-4 left-0 flex justify-center opacity-0 transition-opacity group-hover/expand:opacity-100"
 								>
@@ -208,7 +225,7 @@
 					{onShowDeleteDialogChange}
 					{siblingInfo}
 					{showDeleteDialog}
-					role="user"
+					role={MessageRole.USER}
 				/>
 			</div>
 		{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageThinkingBlock.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageThinkingBlock.svelte
deleted file mode 100644
index 9245ad51533..00000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageThinkingBlock.svelte
+++ /dev/null
@@ -1,68 +0,0 @@
-<script lang="ts">
-	import { Brain } from '@lucide/svelte';
-	import ChevronsUpDownIcon from '@lucide/svelte/icons/chevrons-up-down';
-	import * as Collapsible from '$lib/components/ui/collapsible/index.js';
-	import { buttonVariants } from '$lib/components/ui/button/index.js';
-	import { Card } from '$lib/components/ui/card';
-	import { config } from '$lib/stores/settings.svelte';
-
-	interface Props {
-		class?: string;
-		hasRegularContent?: boolean;
-		isStreaming?: boolean;
-		reasoningContent: string | null;
-	}
-
-	let {
-		class: className = '',
-		hasRegularContent = false,
-		isStreaming = false,
-		reasoningContent
-	}: Props = $props();
-
-	const currentConfig = config();
-
-	let isExpanded = $state(currentConfig.showThoughtInProgress);
-
-	$effect(() => {
-		if (hasRegularContent && reasoningContent && currentConfig.showThoughtInProgress) {
-			isExpanded = false;
-		}
-	});
-</script>
-
-<Collapsible.Root bind:open={isExpanded} class="mb-6 {className}">
-	<Card class="gap-0 border-muted bg-muted/30 py-0">
-		<Collapsible.Trigger class="flex cursor-pointer items-center justify-between p-3">
-			<div class="flex items-center gap-2 text-muted-foreground">
-				<Brain class="h-4 w-4" />
-
-				<span class="text-sm font-medium">
-					{isStreaming ? 'Reasoning...' : 'Reasoning'}
-				</span>
-			</div>
-
-			<div
-				class={buttonVariants({
-					variant: 'ghost',
-					size: 'sm',
-					class: 'h-6 w-6 p-0 text-muted-foreground hover:text-foreground'
-				})}
-			>
-				<ChevronsUpDownIcon class="h-4 w-4" />
-
-				<span class="sr-only">Toggle reasoning content</span>
-			</div>
-		</Collapsible.Trigger>
-
-		<Collapsible.Content>
-			<div class="border-t border-muted px-3 pb-3">
-				<div class="pt-3">
-					<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
-						{reasoningContent ?? ''}
-					</div>
-				</div>
-			</div>
-		</Collapsible.Content>
-	</Card>
-</Collapsible.Root>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
index 041c6bd2513..9b9d9a3e993 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
@@ -1,67 +1,48 @@
 <script lang="ts">
 	import { Card } from '$lib/components/ui/card';
 	import { ChatAttachmentsList, MarkdownContent } from '$lib/components/app';
+	import { getMessageEditContext } from '$lib/contexts';
 	import { config } from '$lib/stores/settings.svelte';
 	import ChatMessageActions from './ChatMessageActions.svelte';
 	import ChatMessageEditForm from './ChatMessageEditForm.svelte';
+	import { MessageRole } from '$lib/enums';
 
 	interface Props {
 		class?: string;
 		message: DatabaseMessage;
-		isEditing: boolean;
-		editedContent: string;
-		editedExtras?: DatabaseMessageExtra[];
-		editedUploadedFiles?: ChatUploadedFile[];
 		siblingInfo?: ChatMessageSiblingInfo | null;
-		showDeleteDialog: boolean;
 		deletionInfo: {
 			totalCount: number;
 			userMessages: number;
 			assistantMessages: number;
 			messageTypes: string[];
 		} | null;
-		onCancelEdit: () => void;
-		onSaveEdit: () => void;
-		onSaveEditOnly?: () => void;
-		onEditKeydown: (event: KeyboardEvent) => void;
-		onEditedContentChange: (content: string) => void;
-		onEditedExtrasChange?: (extras: DatabaseMessageExtra[]) => void;
-		onEditedUploadedFilesChange?: (files: ChatUploadedFile[]) => void;
-		onCopy: () => void;
+		showDeleteDialog: boolean;
 		onEdit: () => void;
 		onDelete: () => void;
 		onConfirmDelete: () => void;
-		onNavigateToSibling?: (siblingId: string) => void;
 		onShowDeleteDialogChange: (show: boolean) => void;
-		textareaElement?: HTMLTextAreaElement;
+		onNavigateToSibling?: (siblingId: string) => void;
+		onCopy: () => void;
 	}
 
 	let {
 		class: className = '',
 		message,
-		isEditing,
-		editedContent,
-		editedExtras = [],
-		editedUploadedFiles = [],
 		siblingInfo = null,
-		showDeleteDialog,
 		deletionInfo,
-		onCancelEdit,
-		onSaveEdit,
-		onSaveEditOnly,
-		onEditKeydown,
-		onEditedContentChange,
-		onEditedExtrasChange,
-		onEditedUploadedFilesChange,
-		onCopy,
+		showDeleteDialog,
 		onEdit,
 		onDelete,
 		onConfirmDelete,
-		onNavigateToSibling,
 		onShowDeleteDialogChange,
-		textareaElement = $bindable()
+		onNavigateToSibling,
+		onCopy
 	}: Props = $props();
 
+	// Get contexts
+	const editCtx = getMessageEditContext();
+
 	let isMultiline = $state(false);
 	let messageElement: HTMLElement | undefined = $state();
 	const currentConfig = config();
@@ -96,42 +77,24 @@
 	class="group flex flex-col items-end gap-3 md:gap-2 {className}"
 	role="group"
 >
-	{#if isEditing}
-		<ChatMessageEditForm
-			bind:textareaElement
-			messageId={message.id}
-			{editedContent}
-			{editedExtras}
-			{editedUploadedFiles}
-			originalContent={message.content}
-			originalExtras={message.extra}
-			showSaveOnlyOption={!!onSaveEditOnly}
-			{onCancelEdit}
-			{onSaveEdit}
-			{onSaveEditOnly}
-			{onEditKeydown}
-			{onEditedContentChange}
-			{onEditedExtrasChange}
-			{onEditedUploadedFilesChange}
-		/>
+	{#if editCtx.isEditing}
+		<ChatMessageEditForm />
 	{:else}
 		{#if message.extra && message.extra.length > 0}
 			<div class="mb-2 max-w-[80%]">
-				<ChatAttachmentsList attachments={message.extra} readonly={true} imageHeight="h-80" />
+				<ChatAttachmentsList attachments={message.extra} readonly imageHeight="h-80" />
 			</div>
 		{/if}
 
 		{#if message.content.trim()}
 			<Card
-				class="max-w-[80%] rounded-[1.125rem] border-none bg-primary px-3.75 py-1.5 text-primary-foreground data-[multiline]:py-2.5"
+				class="max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 text-foreground backdrop-blur-md data-[multiline]:py-2.5 dark:bg-primary/15"
 				data-multiline={isMultiline ? '' : undefined}
+				style="max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;"
 			>
 				{#if currentConfig.renderUserContentAsMarkdown}
-					<div bind:this={messageElement} class="text-md">
-						<MarkdownContent
-							class="markdown-user-content text-primary-foreground"
-							content={message.content}
-						/>
+					<div bind:this={messageElement}>
+						<MarkdownContent class="markdown-user-content -my-4" content={message.content} />
 					</div>
 				{:else}
 					<span bind:this={messageElement} class="text-md whitespace-pre-wrap">
@@ -155,7 +118,7 @@
 					{onShowDeleteDialogChange}
 					{siblingInfo}
 					{showDeleteDialog}
-					role="user"
+					role={MessageRole.USER}
 				/>
 			</div>
 		{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
index c203f10098d..23143c955ca 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
@@ -1,9 +1,11 @@
 <script lang="ts">
 	import { ChatMessage } from '$lib/components/app';
+	import { setChatActionsContext } from '$lib/contexts';
+	import { MessageRole } from '$lib/enums';
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { conversationsStore, activeConversation } from '$lib/stores/conversations.svelte';
 	import { config } from '$lib/stores/settings.svelte';
-	import { getMessageSiblings } from '$lib/utils';
+	import { copyToClipboard, formatMessageForClipboard, getMessageSiblings } from '$lib/utils';
 
 	interface Props {
 		class?: string;
@@ -16,6 +18,69 @@
 	let allConversationMessages = $state<DatabaseMessage[]>([]);
 	const currentConfig = config();
 
+	setChatActionsContext({
+		copy: async (message: DatabaseMessage) => {
+			const asPlainText = Boolean(currentConfig.copyTextAttachmentsAsPlainText);
+			const clipboardContent = formatMessageForClipboard(
+				message.content,
+				message.extra,
+				asPlainText
+			);
+			await copyToClipboard(clipboardContent, 'Message copied to clipboard');
+		},
+
+		delete: async (message: DatabaseMessage) => {
+			await chatStore.deleteMessage(message.id);
+			refreshAllMessages();
+		},
+
+		navigateToSibling: async (siblingId: string) => {
+			await conversationsStore.navigateToSibling(siblingId);
+		},
+
+		editWithBranching: async (
+			message: DatabaseMessage,
+			newContent: string,
+			newExtras?: DatabaseMessageExtra[]
+		) => {
+			onUserAction?.();
+			await chatStore.editMessageWithBranching(message.id, newContent, newExtras);
+			refreshAllMessages();
+		},
+
+		editWithReplacement: async (
+			message: DatabaseMessage,
+			newContent: string,
+			shouldBranch: boolean
+		) => {
+			onUserAction?.();
+			await chatStore.editAssistantMessage(message.id, newContent, shouldBranch);
+			refreshAllMessages();
+		},
+
+		editUserMessagePreserveResponses: async (
+			message: DatabaseMessage,
+			newContent: string,
+			newExtras?: DatabaseMessageExtra[]
+		) => {
+			onUserAction?.();
+			await chatStore.editUserMessagePreserveResponses(message.id, newContent, newExtras);
+			refreshAllMessages();
+		},
+
+		regenerateWithBranching: async (message: DatabaseMessage, modelOverride?: string) => {
+			onUserAction?.();
+			await chatStore.regenerateMessageWithBranching(message.id, modelOverride);
+			refreshAllMessages();
+		},
+
+		continueAssistantMessage: async (message: DatabaseMessage) => {
+			onUserAction?.();
+			await chatStore.continueAssistantMessage(message.id);
+			refreshAllMessages();
+		}
+	});
+
 	function refreshAllMessages() {
 		const conversation = activeConversation();
 
@@ -42,16 +107,28 @@
 			return [];
 		}
 
-		// Filter out system messages if showSystemMessage is false
 		const filteredMessages = currentConfig.showSystemMessage
 			? messages
-			: messages.filter((msg) => msg.type !== 'system');
+			: messages.filter((msg) => msg.type !== MessageRole.SYSTEM);
+
+		let lastAssistantIndex = -1;
+
+		for (let i = filteredMessages.length - 1; i >= 0; i--) {
+			if (filteredMessages[i].role === MessageRole.ASSISTANT) {
+				lastAssistantIndex = i;
+
+				break;
+			}
+		}
 
-		return filteredMessages.map((message) => {
+		return filteredMessages.map((message, index) => {
 			const siblingInfo = getMessageSiblings(allConversationMessages, message.id);
+			const isLastAssistantMessage =
+				message.role === MessageRole.ASSISTANT && index === lastAssistantIndex;
 
 			return {
 				message,
+				isLastAssistantMessage,
 				siblingInfo: siblingInfo || {
 					message,
 					siblingIds: [message.id],
@@ -61,83 +138,15 @@
 			};
 		});
 	});
-
-	async function handleNavigateToSibling(siblingId: string) {
-		await conversationsStore.navigateToSibling(siblingId);
-	}
-
-	async function handleEditWithBranching(
-		message: DatabaseMessage,
-		newContent: string,
-		newExtras?: DatabaseMessageExtra[]
-	) {
-		onUserAction?.();
-
-		await chatStore.editMessageWithBranching(message.id, newContent, newExtras);
-
-		refreshAllMessages();
-	}
-
-	async function handleEditWithReplacement(
-		message: DatabaseMessage,
-		newContent: string,
-		shouldBranch: boolean
-	) {
-		onUserAction?.();
-
-		await chatStore.editAssistantMessage(message.id, newContent, shouldBranch);
-
-		refreshAllMessages();
-	}
-
-	async function handleRegenerateWithBranching(message: DatabaseMessage, modelOverride?: string) {
-		onUserAction?.();
-
-		await chatStore.regenerateMessageWithBranching(message.id, modelOverride);
-
-		refreshAllMessages();
-	}
-
-	async function handleContinueAssistantMessage(message: DatabaseMessage) {
-		onUserAction?.();
-
-		await chatStore.continueAssistantMessage(message.id);
-
-		refreshAllMessages();
-	}
-
-	async function handleEditUserMessagePreserveResponses(
-		message: DatabaseMessage,
-		newContent: string,
-		newExtras?: DatabaseMessageExtra[]
-	) {
-		onUserAction?.();
-
-		await chatStore.editUserMessagePreserveResponses(message.id, newContent, newExtras);
-
-		refreshAllMessages();
-	}
-
-	async function handleDeleteMessage(message: DatabaseMessage) {
-		await chatStore.deleteMessage(message.id);
-
-		refreshAllMessages();
-	}
 </script>
 
-<div class="flex h-full flex-col space-y-10 pt-16 md:pt-24 {className}" style="height: auto; ">
-	{#each displayMessages as { message, siblingInfo } (message.id)}
+<div class="flex h-full flex-col space-y-10 pt-24 {className}" style="height: auto; ">
+	{#each displayMessages as { message, isLastAssistantMessage, siblingInfo } (message.id)}
 		<ChatMessage
 			class="mx-auto w-full max-w-[48rem]"
 			{message}
+			{isLastAssistantMessage}
 			{siblingInfo}
-			onDelete={handleDeleteMessage}
-			onNavigateToSibling={handleNavigateToSibling}
-			onEditWithBranching={handleEditWithBranching}
-			onEditWithReplacement={handleEditWithReplacement}
-			onEditUserMessagePreserveResponses={handleEditUserMessagePreserveResponses}
-			onRegenerateWithBranching={handleRegenerateWithBranching}
-			onContinueAssistantMessage={handleContinueAssistantMessage}
 		/>
 	{/each}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
index 27439551a1f..1e0c801b6d7 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
@@ -1,7 +1,7 @@
 <script lang="ts">
 	import { afterNavigate } from '$app/navigation';
 	import {
-		ChatForm,
+		ChatScreenForm,
 		ChatScreenHeader,
 		ChatMessages,
 		ChatScreenProcessingInfo,
@@ -12,15 +12,14 @@
 	} from '$lib/components/app';
 	import * as Alert from '$lib/components/ui/alert';
 	import * as AlertDialog from '$lib/components/ui/alert-dialog';
-	import {
-		AUTO_SCROLL_AT_BOTTOM_THRESHOLD,
-		AUTO_SCROLL_INTERVAL,
-		INITIAL_SCROLL_DELAY
-	} from '$lib/constants/auto-scroll';
+	import { INITIAL_SCROLL_DELAY } from '$lib/constants';
+	import { KeyboardKey } from '$lib/enums';
+	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
 	import {
 		chatStore,
 		errorDialog,
 		isLoading,
+		isChatStreaming,
 		isEditing,
 		getAddFilesHandler
 	} from '$lib/stores/chat.svelte';
@@ -34,6 +33,7 @@
 	import { modelsStore, modelOptions, selectedModelId } from '$lib/stores/models.svelte';
 	import { isFileTypeSupported, filterFilesByModalities } from '$lib/utils';
 	import { parseFilesToMessageExtras, processFilesToChatUploaded } from '$lib/utils/browser-only';
+	import { ErrorDialogType } from '$lib/enums';
 	import { onMount } from 'svelte';
 	import { fade, fly, slide } from 'svelte/transition';
 	import { Trash2, AlertTriangle, RefreshCw } from '@lucide/svelte';
@@ -42,16 +42,13 @@
 	let { showCenteredEmpty = false } = $props();
 
 	let disableAutoScroll = $derived(Boolean(config().disableAutoScroll));
-	let autoScrollEnabled = $state(true);
 	let chatScrollContainer: HTMLDivElement | undefined = $state();
 	let dragCounter = $state(0);
 	let isDragOver = $state(false);
-	let lastScrollTop = $state(0);
-	let scrollInterval: ReturnType<typeof setInterval> | undefined;
-	let scrollTimeout: ReturnType<typeof setTimeout> | undefined;
 	let showFileErrorDialog = $state(false);
 	let uploadedFiles = $state<ChatUploadedFile[]>([]);
-	let userScrolledUp = $state(false);
+
+	const autoScroll = createAutoScrollController();
 
 	let fileErrorData = $state<{
 		generallyUnsupported: File[];
@@ -71,6 +68,8 @@
 
 	let emptyFileNames = $state<string[]>([]);
 
+	let initialMessage = $state('');
+
 	let isEmpty = $derived(
 		showCenteredEmpty && !activeConversation() && activeMessages().length === 0 && !isLoading()
 	);
@@ -79,7 +78,7 @@
 	let isServerLoading = $derived(serverLoading());
 	let hasPropsError = $derived(!!serverError());
 
-	let isCurrentConversationLoading = $derived(isLoading());
+	let isCurrentConversationLoading = $derived(isLoading() || isChatStreaming());
 
 	let isRouter = $derived(isRouterMode());
 
@@ -213,7 +212,11 @@
 	function handleKeydown(event: KeyboardEvent) {
 		const isCtrlOrCmd = event.ctrlKey || event.metaKey;
 
-		if (isCtrlOrCmd && event.shiftKey && (event.key === 'd' || event.key === 'D')) {
+		if (
+			isCtrlOrCmd &&
+			event.shiftKey &&
+			(event.key === KeyboardKey.D_LOWER || event.key === KeyboardKey.D_UPPER)
+		) {
 			event.preventDefault();
 			if (activeConversation()) {
 				showDeleteDialog = true;
@@ -221,38 +224,22 @@
 		}
 	}
 
-	function handleScroll() {
-		if (disableAutoScroll || !chatScrollContainer) return;
-
-		const { scrollTop, scrollHeight, clientHeight } = chatScrollContainer;
-		const distanceFromBottom = scrollHeight - scrollTop - clientHeight;
-		const isAtBottom = distanceFromBottom < AUTO_SCROLL_AT_BOTTOM_THRESHOLD;
-
-		if (scrollTop < lastScrollTop && !isAtBottom) {
-			userScrolledUp = true;
-			autoScrollEnabled = false;
-		} else if (isAtBottom && userScrolledUp) {
-			userScrolledUp = false;
-			autoScrollEnabled = true;
+	async function handleSystemPromptAdd(draft: { message: string; files: ChatUploadedFile[] }) {
+		if (draft.message || draft.files.length > 0) {
+			chatStore.savePendingDraft(draft.message, draft.files);
 		}
 
-		if (scrollTimeout) {
-			clearTimeout(scrollTimeout);
-		}
-
-		scrollTimeout = setTimeout(() => {
-			if (isAtBottom) {
-				userScrolledUp = false;
-				autoScrollEnabled = true;
-			}
-		}, AUTO_SCROLL_INTERVAL);
+		await chatStore.addSystemPrompt();
+	}
 
-		lastScrollTop = scrollTop;
+	function handleScroll() {
+		autoScroll.handleScroll();
 	}
 
 	async function handleSendMessage(message: string, files?: ChatUploadedFile[]): Promise<boolean> {
-		const result = files
-			? await parseFilesToMessageExtras(files, activeModelId ?? undefined)
+		const plainFiles = files ? $state.snapshot(files) : undefined;
+		const result = plainFiles
+			? await parseFilesToMessageExtras(plainFiles, activeModelId ?? undefined)
 			: undefined;
 
 		if (result?.emptyFiles && result.emptyFiles.length > 0) {
@@ -269,12 +256,9 @@
 		const extras = result?.extras;
 
 		// Enable autoscroll for user-initiated message sending
-		if (!disableAutoScroll) {
-			userScrolledUp = false;
-			autoScrollEnabled = true;
-		}
+		autoScroll.enable();
 		await chatStore.sendMessage(message, extras);
-		scrollChatToBottom();
+		autoScroll.scrollToBottom();
 
 		return true;
 	}
@@ -324,43 +308,34 @@
 		}
 	}
 
-	function scrollChatToBottom(behavior: ScrollBehavior = 'smooth') {
-		if (disableAutoScroll) return;
-
-		chatScrollContainer?.scrollTo({
-			top: chatScrollContainer?.scrollHeight,
-			behavior
-		});
-	}
-
 	afterNavigate(() => {
 		if (!disableAutoScroll) {
-			setTimeout(() => scrollChatToBottom('instant'), INITIAL_SCROLL_DELAY);
+			setTimeout(() => autoScroll.scrollToBottom('instant'), INITIAL_SCROLL_DELAY);
 		}
 	});
 
 	onMount(() => {
 		if (!disableAutoScroll) {
-			setTimeout(() => scrollChatToBottom('instant'), INITIAL_SCROLL_DELAY);
+			setTimeout(() => autoScroll.scrollToBottom('instant'), INITIAL_SCROLL_DELAY);
+		}
+
+		const pendingDraft = chatStore.consumePendingDraft();
+		if (pendingDraft) {
+			initialMessage = pendingDraft.message;
+			uploadedFiles = pendingDraft.files;
 		}
 	});
 
 	$effect(() => {
-		if (disableAutoScroll) {
-			autoScrollEnabled = false;
-			if (scrollInterval) {
-				clearInterval(scrollInterval);
-				scrollInterval = undefined;
-			}
-			return;
-		}
+		autoScroll.setContainer(chatScrollContainer);
+	});
 
-		if (isCurrentConversationLoading && autoScrollEnabled) {
-			scrollInterval = setInterval(scrollChatToBottom, AUTO_SCROLL_INTERVAL);
-		} else if (scrollInterval) {
-			clearInterval(scrollInterval);
-			scrollInterval = undefined;
-		}
+	$effect(() => {
+		autoScroll.setDisabled(disableAutoScroll);
+	});
+
+	$effect(() => {
+		autoScroll.updateInterval(isCurrentConversationLoading);
 	});
 </script>
 
@@ -388,11 +363,8 @@
 			class="mb-16 md:mb-24"
 			messages={activeMessages()}
 			onUserAction={() => {
-				if (!disableAutoScroll) {
-					userScrolledUp = false;
-					autoScrollEnabled = true;
-					scrollChatToBottom();
-				}
+				autoScroll.enable();
+				autoScroll.scrollToBottom();
 			}}
 		/>
 
@@ -426,13 +398,15 @@
 			{/if}
 
 			<div class="conversation-chat-form pointer-events-auto rounded-t-3xl pb-4">
-				<ChatForm
+				<ChatScreenForm
 					disabled={hasPropsError || isEditing()}
+					{initialMessage}
 					isLoading={isCurrentConversationLoading}
 					onFileRemove={handleFileRemove}
 					onFileUpload={handleFileUpload}
 					onSend={handleSendMessage}
 					onStop={() => chatStore.stopGeneration()}
+					onSystemPromptAdd={handleSystemPromptAdd}
 					showHelperText={false}
 					bind:uploadedFiles
 				/>
@@ -454,9 +428,9 @@
 	>
 		<div class="w-full max-w-[48rem] px-4">
 			<div class="mb-10 text-center" in:fade={{ duration: 300 }}>
-				<h1 class="mb-4 text-3xl font-semibold tracking-tight">llama.cpp</h1>
+				<h1 class="mb-2 text-2xl font-semibold tracking-tight md:text-3xl">llama.cpp</h1>
 
-				<p class="text-lg text-muted-foreground">
+				<p class="text-muted-foreground md:text-lg">
 					{serverStore.props?.modalities?.audio
 						? 'Record audio, type a message '
 						: 'Type a message'} or upload files to get started
@@ -467,8 +441,10 @@
 				<div class="mb-4" in:fly={{ y: 10, duration: 250 }}>
 					<Alert.Root variant="destructive">
 						<AlertTriangle class="h-4 w-4" />
+
 						<Alert.Title class="flex items-center justify-between">
 							<span>Server unavailable</span>
+
 							<button
 								onclick={() => serverStore.fetch()}
 								disabled={isServerLoading}
@@ -478,20 +454,23 @@
 								{isServerLoading ? 'Retrying...' : 'Retry'}
 							</button>
 						</Alert.Title>
+
 						<Alert.Description>{serverError()}</Alert.Description>
 					</Alert.Root>
 				</div>
 			{/if}
 
 			<div in:fly={{ y: 10, duration: 250, delay: hasPropsError ? 0 : 300 }}>
-				<ChatForm
+				<ChatScreenForm
 					disabled={hasPropsError}
+					{initialMessage}
 					isLoading={isCurrentConversationLoading}
 					onFileRemove={handleFileRemove}
 					onFileUpload={handleFileUpload}
 					onSend={handleSendMessage}
 					onStop={() => chatStore.stopGeneration()}
-					showHelperText={true}
+					onSystemPromptAdd={handleSystemPromptAdd}
+					showHelperText
 					bind:uploadedFiles
 				/>
 			</div>
@@ -595,7 +574,7 @@
 	contextInfo={activeErrorDialog?.contextInfo}
 	onOpenChange={handleErrorDialogOpenChange}
 	open={Boolean(activeErrorDialog)}
-	type={activeErrorDialog?.type ?? 'server'}
+	type={activeErrorDialog?.type ?? ErrorDialogType.SERVER}
 />
 
 <style>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte
new file mode 100644
index 00000000000..086044e8c45
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte
@@ -0,0 +1,122 @@
+<script lang="ts">
+	import { afterNavigate } from '$app/navigation';
+	import { ChatFormHelperText, ChatForm } from '$lib/components/app';
+	import { onMount } from 'svelte';
+
+	interface Props {
+		class?: string;
+		disabled?: boolean;
+		initialMessage?: string;
+		isLoading?: boolean;
+		onFileRemove?: (fileId: string) => void;
+		onFileUpload?: (files: File[]) => void;
+		onSend?: (message: string, files?: ChatUploadedFile[]) => Promise<boolean>;
+		onStop?: () => void;
+		onSystemPromptAdd?: (draft: { message: string; files: ChatUploadedFile[] }) => void;
+		showHelperText?: boolean;
+		uploadedFiles?: ChatUploadedFile[];
+	}
+
+	let {
+		class: className,
+		disabled = false,
+		initialMessage = '',
+		isLoading = false,
+		onFileRemove,
+		onFileUpload,
+		onSend,
+		onStop,
+		onSystemPromptAdd,
+		showHelperText = true,
+		uploadedFiles = $bindable([])
+	}: Props = $props();
+
+	let chatFormRef: ChatForm | undefined = $state(undefined);
+	let message = $derived(initialMessage);
+	let previousIsLoading = $derived(isLoading);
+	let previousInitialMessage = $derived(initialMessage);
+
+	// Sync message when initialMessage prop changes (e.g., after draft restoration)
+	$effect(() => {
+		if (initialMessage !== previousInitialMessage) {
+			message = initialMessage;
+			previousInitialMessage = initialMessage;
+		}
+	});
+
+	function handleSystemPromptClick() {
+		onSystemPromptAdd?.({ message, files: uploadedFiles });
+	}
+
+	let hasLoadingAttachments = $derived(uploadedFiles.some((f) => f.isLoading));
+
+	async function handleSubmit() {
+		if (
+			(!message.trim() && uploadedFiles.length === 0) ||
+			disabled ||
+			isLoading ||
+			hasLoadingAttachments
+		)
+			return;
+
+		if (!chatFormRef?.checkModelSelected()) return;
+
+		const messageToSend = message.trim();
+		const filesToSend = [...uploadedFiles];
+
+		message = '';
+		uploadedFiles = [];
+
+		chatFormRef?.resetTextareaHeight();
+
+		const success = await onSend?.(messageToSend, filesToSend);
+
+		if (!success) {
+			message = messageToSend;
+			uploadedFiles = filesToSend;
+		}
+	}
+
+	function handleFilesAdd(files: File[]) {
+		onFileUpload?.(files);
+	}
+
+	function handleUploadedFileRemove(fileId: string) {
+		onFileRemove?.(fileId);
+	}
+
+	onMount(() => {
+		setTimeout(() => chatFormRef?.focus(), 10);
+	});
+
+	afterNavigate(() => {
+		setTimeout(() => chatFormRef?.focus(), 10);
+	});
+
+	$effect(() => {
+		if (previousIsLoading && !isLoading) {
+			setTimeout(() => chatFormRef?.focus(), 10);
+		}
+
+		previousIsLoading = isLoading;
+	});
+</script>
+
+<div class="relative mx-auto max-w-[48rem]">
+	<ChatForm
+		bind:this={chatFormRef}
+		bind:value={message}
+		bind:uploadedFiles
+		class={className}
+		{disabled}
+		{isLoading}
+		showMcpPromptButton
+		onFilesAdd={handleFilesAdd}
+		{onStop}
+		onSubmit={handleSubmit}
+		onSystemPromptClick={handleSystemPromptClick}
+		onUploadedFileRemove={handleUploadedFileRemove}
+	/>
+</div>
+
+<ChatFormHelperText show={showHelperText} />
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
index 874140feecc..2730d5e738d 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
@@ -14,12 +14,17 @@
 </script>
 
 <header
-	class="md:background-transparent pointer-events-none fixed top-0 right-0 left-0 z-50 flex items-center justify-end bg-background/40 p-4 backdrop-blur-xl duration-200 ease-linear {sidebar.open
+	class="pointer-events-none fixed top-0 right-0 left-0 z-50 flex items-center justify-end p-2 duration-200 ease-linear md:p-4 {sidebar.open
 		? 'md:left-[var(--sidebar-width)]'
 		: ''}"
 >
 	<div class="pointer-events-auto flex items-center space-x-2">
-		<Button variant="ghost" size="sm" onclick={toggleSettings}>
+		<Button
+			variant="ghost"
+			size="icon-lg"
+			onclick={toggleSettings}
+			class="rounded-full backdrop-blur-lg"
+		>
 			<Settings class="h-4 w-4" />
 		</Button>
 	</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte
index a60ae9e9af3..8c88480cef5 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte
@@ -1,6 +1,6 @@
 <script lang="ts">
 	import { untrack } from 'svelte';
-	import { PROCESSING_INFO_TIMEOUT } from '$lib/constants/processing-info';
+	import { PROCESSING_INFO_TIMEOUT } from '$lib/constants';
 	import { useProcessingState } from '$lib/hooks/use-processing-state.svelte';
 	import { chatStore, isLoading, isChatStreaming } from '$lib/stores/chat.svelte';
 	import { activeMessages, activeConversation } from '$lib/stores/conversations.svelte';
@@ -11,7 +11,7 @@
 	let isCurrentConversationLoading = $derived(isLoading());
 	let isStreaming = $derived(isChatStreaming());
 	let hasProcessingData = $derived(processingState.processingState !== null);
-	let processingDetails = $derived(processingState.getProcessingDetails());
+	let processingDetails = $derived(processingState.getTechnicalDetails());
 
 	let showProcessingInfo = $derived(
 		isCurrentConversationLoading || isStreaming || config().keepStatsVisible || hasProcessingData
@@ -63,7 +63,7 @@
 <div class="chat-processing-info-container pointer-events-none" class:visible={showProcessingInfo}>
 	<div class="chat-processing-info-content">
 		{#each processingDetails as detail (detail)}
-			<span class="chat-processing-info-detail pointer-events-auto">{detail}</span>
+			<span class="chat-processing-info-detail pointer-events-auto backdrop-blur-sm">{detail}</span>
 		{/each}
 	</div>
 </div>
@@ -73,7 +73,7 @@
 		position: sticky;
 		top: 0;
 		z-index: 10;
-		padding: 1.5rem 1rem;
+		padding: 0 1rem 0.75rem;
 		opacity: 0;
 		transform: translateY(50%);
 		transition:
@@ -100,7 +100,6 @@
 		color: var(--muted-foreground);
 		font-size: 0.75rem;
 		padding: 0.25rem 0.75rem;
-		background: var(--muted);
 		border-radius: 0.375rem;
 		font-family:
 			ui-monospace, SFMono-Regular, 'SF Mono', Consolas, 'Liberation Mono', Menlo, monospace;
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
index 5a668aa300a..44d59e2b360 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
@@ -5,8 +5,6 @@
 		AlertTriangle,
 		Code,
 		Monitor,
-		Sun,
-		Moon,
 		ChevronLeft,
 		ChevronRight,
 		Database
@@ -14,254 +12,299 @@
 	import {
 		ChatSettingsFooter,
 		ChatSettingsImportExportTab,
-		ChatSettingsFields
+		ChatSettingsFields,
+		McpLogo,
+		McpServersSettings
 	} from '$lib/components/app';
 	import { ScrollArea } from '$lib/components/ui/scroll-area';
 	import { config, settingsStore } from '$lib/stores/settings.svelte';
+	import {
+		SETTINGS_SECTION_TITLES,
+		type SettingsSectionTitle,
+		NUMERIC_FIELDS,
+		POSITIVE_INTEGER_FIELDS,
+		SETTINGS_COLOR_MODES_CONFIG,
+		SETTINGS_KEYS
+	} from '$lib/constants';
 	import { setMode } from 'mode-watcher';
+	import { ColorMode } from '$lib/enums/ui';
+	import { SettingsFieldType } from '$lib/enums/settings';
 	import type { Component } from 'svelte';
 
 	interface Props {
 		onSave?: () => void;
+		initialSection?: SettingsSectionTitle;
 	}
 
-	let { onSave }: Props = $props();
+	let { onSave, initialSection }: Props = $props();
 
 	const settingSections: Array<{
 		fields: SettingsFieldConfig[];
 		icon: Component;
-		title: string;
+		title: SettingsSectionTitle;
 	}> = [
 		{
-			title: 'General',
+			title: SETTINGS_SECTION_TITLES.GENERAL,
 			icon: Settings,
 			fields: [
 				{
-					key: 'theme',
+					key: SETTINGS_KEYS.THEME,
 					label: 'Theme',
-					type: 'select',
-					options: [
-						{ value: 'system', label: 'System', icon: Monitor },
-						{ value: 'light', label: 'Light', icon: Sun },
-						{ value: 'dark', label: 'Dark', icon: Moon }
-					]
+					type: SettingsFieldType.SELECT,
+					options: SETTINGS_COLOR_MODES_CONFIG
 				},
-				{ key: 'apiKey', label: 'API Key', type: 'input' },
+				{ key: SETTINGS_KEYS.API_KEY, label: 'API Key', type: SettingsFieldType.INPUT },
 				{
-					key: 'systemMessage',
+					key: SETTINGS_KEYS.SYSTEM_MESSAGE,
 					label: 'System Message',
-					type: 'textarea'
+					type: SettingsFieldType.TEXTAREA
 				},
 				{
-					key: 'pasteLongTextToFileLen',
+					key: SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,
 					label: 'Paste long text to file length',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'copyTextAttachmentsAsPlainText',
+					key: SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,
 					label: 'Copy text attachments as plain text',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'enableContinueGeneration',
+					key: SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,
 					label: 'Enable "Continue" button',
-					type: 'checkbox',
+					type: SettingsFieldType.CHECKBOX,
 					isExperimental: true
 				},
 				{
-					key: 'pdfAsImage',
+					key: SETTINGS_KEYS.PDF_AS_IMAGE,
 					label: 'Parse PDF as image',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'askForTitleConfirmation',
+					key: SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,
 					label: 'Ask for confirmation before changing conversation title',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				}
 			]
 		},
 		{
-			title: 'Display',
+			title: SETTINGS_SECTION_TITLES.DISPLAY,
 			icon: Monitor,
 			fields: [
 				{
-					key: 'showMessageStats',
+					key: SETTINGS_KEYS.SHOW_MESSAGE_STATS,
 					label: 'Show message generation statistics',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'showThoughtInProgress',
+					key: SETTINGS_KEYS.SHOW_THOUGHT_IN_PROGRESS,
 					label: 'Show thought in progress',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'keepStatsVisible',
+					key: SETTINGS_KEYS.KEEP_STATS_VISIBLE,
 					label: 'Keep stats visible after generation',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'autoMicOnEmpty',
+					key: SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,
 					label: 'Show microphone on empty input',
-					type: 'checkbox',
+					type: SettingsFieldType.CHECKBOX,
 					isExperimental: true
 				},
 				{
-					key: 'renderUserContentAsMarkdown',
+					key: SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,
 					label: 'Render user content as Markdown',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
+				},
+				{
+					key: SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,
+					label: 'Use full height code blocks',
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'disableAutoScroll',
+					key: SETTINGS_KEYS.DISABLE_AUTO_SCROLL,
 					label: 'Disable automatic scroll',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'alwaysShowSidebarOnDesktop',
+					key: SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,
 					label: 'Always show sidebar on desktop',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'autoShowSidebarOnNewChat',
+					key: SETTINGS_KEYS.AUTO_SHOW_SIDEBAR_ON_NEW_CHAT,
 					label: 'Auto-show sidebar on new chat',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
+				},
+				{
+					key: SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,
+					label: 'Show raw model names',
+					type: SettingsFieldType.CHECKBOX
 				}
 			]
 		},
 		{
-			title: 'Sampling',
+			title: SETTINGS_SECTION_TITLES.SAMPLING,
 			icon: Funnel,
 			fields: [
 				{
-					key: 'temperature',
+					key: SETTINGS_KEYS.TEMPERATURE,
 					label: 'Temperature',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'dynatemp_range',
+					key: SETTINGS_KEYS.DYNATEMP_RANGE,
 					label: 'Dynamic temperature range',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'dynatemp_exponent',
+					key: SETTINGS_KEYS.DYNATEMP_EXPONENT,
 					label: 'Dynamic temperature exponent',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'top_k',
+					key: SETTINGS_KEYS.TOP_K,
 					label: 'Top K',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'top_p',
+					key: SETTINGS_KEYS.TOP_P,
 					label: 'Top P',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'min_p',
+					key: SETTINGS_KEYS.MIN_P,
 					label: 'Min P',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'xtc_probability',
+					key: SETTINGS_KEYS.XTC_PROBABILITY,
 					label: 'XTC probability',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'xtc_threshold',
+					key: SETTINGS_KEYS.XTC_THRESHOLD,
 					label: 'XTC threshold',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'typ_p',
+					key: SETTINGS_KEYS.TYP_P,
 					label: 'Typical P',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'max_tokens',
+					key: SETTINGS_KEYS.MAX_TOKENS,
 					label: 'Max tokens',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'samplers',
+					key: SETTINGS_KEYS.SAMPLERS,
 					label: 'Samplers',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'backend_sampling',
+					key: SETTINGS_KEYS.BACKEND_SAMPLING,
 					label: 'Backend sampling',
-					type: 'checkbox'
+					type: SettingsFieldType.CHECKBOX
 				}
 			]
 		},
 		{
-			title: 'Penalties',
+			title: SETTINGS_SECTION_TITLES.PENALTIES,
 			icon: AlertTriangle,
 			fields: [
 				{
-					key: 'repeat_last_n',
+					key: SETTINGS_KEYS.REPEAT_LAST_N,
 					label: 'Repeat last N',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'repeat_penalty',
+					key: SETTINGS_KEYS.REPEAT_PENALTY,
 					label: 'Repeat penalty',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'presence_penalty',
+					key: SETTINGS_KEYS.PRESENCE_PENALTY,
 					label: 'Presence penalty',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'frequency_penalty',
+					key: SETTINGS_KEYS.FREQUENCY_PENALTY,
 					label: 'Frequency penalty',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'dry_multiplier',
+					key: SETTINGS_KEYS.DRY_MULTIPLIER,
 					label: 'DRY multiplier',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'dry_base',
+					key: SETTINGS_KEYS.DRY_BASE,
 					label: 'DRY base',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'dry_allowed_length',
+					key: SETTINGS_KEYS.DRY_ALLOWED_LENGTH,
 					label: 'DRY allowed length',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				},
 				{
-					key: 'dry_penalty_last_n',
+					key: SETTINGS_KEYS.DRY_PENALTY_LAST_N,
 					label: 'DRY penalty last N',
-					type: 'input'
+					type: SettingsFieldType.INPUT
 				}
 			]
 		},
 		{
-			title: 'Import/Export',
+			title: SETTINGS_SECTION_TITLES.IMPORT_EXPORT,
 			icon: Database,
 			fields: []
 		},
 		{
-			title: 'Developer',
+			title: SETTINGS_SECTION_TITLES.MCP,
+			icon: McpLogo,
+			fields: [
+				{
+					key: SETTINGS_KEYS.AGENTIC_MAX_TURNS,
+					label: 'Agentic loop max turns',
+					type: SettingsFieldType.INPUT
+				},
+				{
+					key: SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,
+					label: 'Always show agentic turns in conversation',
+					type: SettingsFieldType.CHECKBOX
+				},
+				{
+					key: SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,
+					label: 'Max lines per tool preview',
+					type: SettingsFieldType.INPUT
+				},
+				{
+					key: SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,
+					label: 'Show tool call in progress',
+					type: SettingsFieldType.CHECKBOX
+				}
+			]
+		},
+		{
+			title: SETTINGS_SECTION_TITLES.DEVELOPER,
 			icon: Code,
 			fields: [
 				{
-					key: 'showToolCalls',
-					label: 'Show tool call labels',
-					type: 'checkbox'
+					key: SETTINGS_KEYS.DISABLE_REASONING_PARSING,
+					label: 'Disable reasoning content parsing',
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'disableReasoningFormat',
-					label: 'Show raw LLM output',
-					type: 'checkbox'
+					key: SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,
+					label: 'Enable raw output toggle',
+					type: SettingsFieldType.CHECKBOX
 				},
 				{
-					key: 'custom',
+					key: SETTINGS_KEYS.CUSTOM,
 					label: 'Custom JSON',
-					type: 'textarea'
+					type: SettingsFieldType.TEXTAREA
 				}
 			]
 		}
@@ -280,7 +323,9 @@
 		// }
 	];
 
-	let activeSection = $state('General');
+	let activeSection = $derived<SettingsSectionTitle>(
+		initialSection ?? SETTINGS_SECTION_TITLES.GENERAL
+	);
 	let currentSection = $derived(
 		settingSections.find((section) => section.title === activeSection) || settingSections[0]
 	);
@@ -290,10 +335,16 @@
 	let canScrollRight = $state(false);
 	let scrollContainer: HTMLDivElement | undefined = $state();
 
+	$effect(() => {
+		if (initialSection) {
+			activeSection = initialSection;
+		}
+	});
+
 	function handleThemeChange(newTheme: string) {
 		localConfig.theme = newTheme;
 
-		setMode(newTheme as 'light' | 'dark' | 'system');
+		setMode(newTheme as ColorMode);
 	}
 
 	function handleConfigChange(key: string, value: string | boolean) {
@@ -303,7 +354,7 @@
 	function handleReset() {
 		localConfig = { ...config() };
 
-		setMode(localConfig.theme as 'light' | 'dark' | 'system');
+		setMode(localConfig.theme as ColorMode);
 	}
 
 	function handleSave() {
@@ -319,33 +370,16 @@
 
 		// Convert numeric strings to numbers for numeric fields
 		const processedConfig = { ...localConfig };
-		const numericFields = [
-			'temperature',
-			'top_k',
-			'top_p',
-			'min_p',
-			'max_tokens',
-			'pasteLongTextToFileLen',
-			'dynatemp_range',
-			'dynatemp_exponent',
-			'typ_p',
-			'xtc_probability',
-			'xtc_threshold',
-			'repeat_last_n',
-			'repeat_penalty',
-			'presence_penalty',
-			'frequency_penalty',
-			'dry_multiplier',
-			'dry_base',
-			'dry_allowed_length',
-			'dry_penalty_last_n'
-		];
-
-		for (const field of numericFields) {
+
+		for (const field of NUMERIC_FIELDS) {
 			if (processedConfig[field] !== undefined && processedConfig[field] !== '') {
 				const numValue = Number(processedConfig[field]);
 				if (!isNaN(numValue)) {
-					processedConfig[field] = numValue;
+					if ((POSITIVE_INTEGER_FIELDS as readonly string[]).includes(field)) {
+						processedConfig[field] = Math.max(1, Math.round(numValue));
+					} else {
+						processedConfig[field] = numValue;
+					}
 				} else {
 					alert(`Invalid numeric value for ${field}. Please enter a valid number.`);
 					return;
@@ -425,7 +459,7 @@
 
 	<!-- Mobile Header with Horizontal Scrollable Menu -->
 	<div class="flex flex-col pt-6 md:hidden">
-		<div class="border-b border-border/30 py-4">
+		<div class="border-b border-border/30 pt-4 md:py-4">
 			<!-- Horizontal Scrollable Category Menu with Navigation -->
 			<div class="relative flex items-center" style="scroll-padding: 1rem;">
 				<button
@@ -484,8 +518,21 @@
 					<h3 class="text-lg font-semibold">{currentSection.title}</h3>
 				</div>
 
-				{#if currentSection.title === 'Import/Export'}
+				{#if currentSection.title === SETTINGS_SECTION_TITLES.IMPORT_EXPORT}
 					<ChatSettingsImportExportTab />
+				{:else if currentSection.title === SETTINGS_SECTION_TITLES.MCP}
+					<div class="space-y-6">
+						<ChatSettingsFields
+							fields={currentSection.fields}
+							{localConfig}
+							onConfigChange={handleConfigChange}
+							onThemeChange={handleThemeChange}
+						/>
+
+						<div class="border-t border-border/30 pt-6">
+							<McpServersSettings />
+						</div>
+					</div>
 				{:else}
 					<div class="space-y-6">
 						<ChatSettingsFields
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
index a6f51f47d6e..b9015c196c1 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
@@ -5,7 +5,8 @@
 	import Label from '$lib/components/ui/label/label.svelte';
 	import * as Select from '$lib/components/ui/select';
 	import { Textarea } from '$lib/components/ui/textarea';
-	import { SETTING_CONFIG_DEFAULT, SETTING_CONFIG_INFO } from '$lib/constants/settings-config';
+	import { SETTING_CONFIG_DEFAULT, SETTING_CONFIG_INFO, SETTINGS_KEYS } from '$lib/constants';
+	import { SettingsFieldType } from '$lib/enums/settings';
 	import { settingsStore } from '$lib/stores/settings.svelte';
 	import { ChatSettingsParameterSourceIndicator } from '$lib/components/app';
 	import type { Component } from 'svelte';
@@ -31,7 +32,7 @@
 
 {#each fields as field (field.key)}
 	<div class="space-y-2">
-		{#if field.type === 'input'}
+		{#if field.type === SettingsFieldType.INPUT}
 			{@const paramInfo = getParameterSourceInfo(field.key)}
 			{@const currentValue = String(localConfig[field.key] ?? '')}
 			{@const propsDefault = paramInfo?.serverDefault}
@@ -98,7 +99,7 @@
 					{@html field.help || SETTING_CONFIG_INFO[field.key]}
 				</p>
 			{/if}
-		{:else if field.type === 'textarea'}
+		{:else if field.type === SettingsFieldType.TEXTAREA}
 			<Label for={field.key} class="block flex items-center gap-1.5 text-sm font-medium">
 				{field.label}
 
@@ -121,7 +122,7 @@
 				</p>
 			{/if}
 
-			{#if field.key === 'systemMessage'}
+			{#if field.key === SETTINGS_KEYS.SYSTEM_MESSAGE}
 				<div class="mt-3 flex items-center gap-2">
 					<Checkbox
 						id="showSystemMessage"
@@ -134,7 +135,7 @@
 					</Label>
 				</div>
 			{/if}
-		{:else if field.type === 'select'}
+		{:else if field.type === SettingsFieldType.SELECT}
 			{@const selectedOption = field.options?.find(
 				(opt: { value: string; label: string; icon?: Component }) =>
 					opt.value === localConfig[field.key]
@@ -166,7 +167,7 @@
 				type="single"
 				value={currentValue}
 				onValueChange={(value) => {
-					if (field.key === 'theme' && value && onThemeChange) {
+					if (field.key === SETTINGS_KEYS.THEME && value && onThemeChange) {
 						onThemeChange(value);
 					} else {
 						onConfigChange(field.key, value);
@@ -222,7 +223,7 @@
 					{field.help || SETTING_CONFIG_INFO[field.key]}
 				</p>
 			{/if}
-		{:else if field.type === 'checkbox'}
+		{:else if field.type === SettingsFieldType.CHECKBOX}
 			<div class="flex items-start space-x-3">
 				<Checkbox
 					id={field.key}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte
index 1c8b41102a8..68839438f6d 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte
@@ -1,11 +1,10 @@
 <script lang="ts">
 	import { Download, Upload, Trash2 } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
-	import { DialogConversationSelection } from '$lib/components/app';
+	import { DialogConversationSelection, DialogConfirmation } from '$lib/components/app';
 	import { createMessageCountMap } from '$lib/utils';
 	import { conversationsStore, conversations } from '$lib/stores/conversations.svelte';
 	import { toast } from 'svelte-sonner';
-	import DialogConfirmation from '$lib/components/app/dialogs/DialogConfirmation.svelte';
 
 	let exportedConversations = $state<DatabaseConversation[]>([]);
 	let importedConversations = $state<DatabaseConversation[]>([]);
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
index aa0c27f6d39..970394baa4a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
@@ -9,7 +9,7 @@
 	import Input from '$lib/components/ui/input/input.svelte';
 	import { conversationsStore, conversations } from '$lib/stores/conversations.svelte';
 	import { chatStore } from '$lib/stores/chat.svelte';
-	import { getPreviewText } from '$lib/utils/text';
+	import { getPreviewText } from '$lib/utils';
 	import ChatSidebarActions from './ChatSidebarActions.svelte';
 
 	const sidebar = Sidebar.useSidebar();
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
index bf2fa4f9e98..5c48909cd81 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
@@ -1,6 +1,6 @@
 <script lang="ts">
 	import { Trash2, Pencil, MoreHorizontal, Download, Loader2, Square } from '@lucide/svelte';
-	import { ActionDropdown } from '$lib/components/app';
+	import { DropdownMenuActions } from '$lib/components/app';
 	import * as Tooltip from '$lib/components/ui/tooltip';
 	import { getAllLoadingChats } from '$lib/stores/chat.svelte';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
@@ -128,7 +128,7 @@
 
 	{#if renderActionsDropdown}
 		<div class="actions flex items-center">
-			<ActionDropdown
+			<DropdownMenuActions
 				triggerIcon={MoreHorizontal}
 				triggerTooltip="More actions"
 				bind:open={dropdownOpen}
@@ -142,7 +142,7 @@
 					{
 						icon: Download,
 						label: 'Export',
-						onclick: (e) => {
+						onclick: (e: Event) => {
 							e.stopPropagation();
 							conversationsStore.downloadConversation(conversation.id);
 						},
diff --git a/tools/server/webui/src/lib/components/app/chat/index.ts b/tools/server/webui/src/lib/components/app/chat/index.ts
new file mode 100644
index 00000000000..2eee7e2dfc0
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/index.ts
@@ -0,0 +1,798 @@
+/**
+ *
+ * ATTACHMENTS
+ *
+ * Components for displaying and managing different attachment types in chat messages.
+ * Supports two operational modes:
+ * - **Readonly mode**: For displaying stored attachments in sent messages (DatabaseMessageExtra[])
+ * - **Editable mode**: For managing pending uploads in the input form (ChatUploadedFile[])
+ *
+ * The attachment system uses `getAttachmentDisplayItems()` utility to normalize both
+ * data sources into a unified display format, enabling consistent rendering regardless
+ * of the attachment origin.
+ *
+ */
+
+/**
+ * **ChatAttachmentsList** - Unified display for file attachments in chat
+ *
+ * Central component for rendering file attachments in both ChatMessage (readonly)
+ * and ChatForm (editable) contexts.
+ *
+ * **Architecture:**
+ * - Delegates rendering to specialized thumbnail components based on attachment type
+ * - Manages scroll state and navigation arrows for horizontal overflow
+ * - Integrates with DialogChatAttachmentPreview for full-size viewing
+ * - Validates vision modality support via `activeModelId` prop
+ *
+ * **Features:**
+ * - Horizontal scroll with smooth navigation arrows
+ * - Image thumbnails with lazy loading and error fallback
+ * - File type icons for non-image files (PDF, text, audio, etc.)
+ * - MCP prompt attachments with expandable content preview
+ * - Click-to-preview with full-size dialog and download option
+ * - "View All" button when `limitToSingleRow` is enabled and content overflows
+ * - Vision modality validation to warn about unsupported image uploads
+ * - Customizable thumbnail dimensions via `imageHeight`/`imageWidth` props
+ *
+ * @example
+ * ```svelte
+ * <!-- Readonly mode (in ChatMessage) -->
+ * <ChatAttachmentsList attachments={message.extra} readonly />
+ *
+ * <!-- Editable mode (in ChatForm) -->
+ * <ChatAttachmentsList
+ *   bind:uploadedFiles
+ *   onFileRemove={(id) => removeFile(id)}
+ *   limitToSingleRow
+ *   activeModelId={selectedModel}
+ * />
+ * ```
+ */
+export { default as ChatAttachmentsList } from './ChatAttachments/ChatAttachmentsList.svelte';
+
+/**
+ * Displays MCP Prompt attachment with expandable content preview.
+ * Shows server name, prompt name, and allows expanding to view full prompt arguments
+ * and content. Used when user selects a prompt from ChatFormPromptPicker.
+ */
+export { default as ChatAttachmentMcpPrompt } from './ChatAttachments/ChatAttachmentMcpPrompt.svelte';
+
+/**
+ * Displays a single MCP Resource attachment with icon, name, and server info.
+ * Shows loading/error states and supports remove action.
+ * Used within ChatAttachmentMcpResources for individual resource display.
+ */
+export { default as ChatAttachmentMcpResource } from './ChatAttachments/ChatAttachmentMcpResource.svelte';
+
+/**
+ * Full-size attachment preview component for dialog display. Handles different file types:
+ * images (full-size display), text files (syntax highlighted), PDFs (text extraction or image preview),
+ * audio (placeholder with download), and generic files (download option).
+ */
+export { default as ChatAttachmentPreview } from './ChatAttachments/ChatAttachmentPreview.svelte';
+
+/**
+ * Displays MCP Resource attachments as a horizontal carousel.
+ * Shows resource name, URI, and allows clicking to view resource content.
+ */
+export { default as ChatAttachmentMcpResources } from './ChatAttachments/ChatAttachmentMcpResources.svelte';
+
+/**
+ * Thumbnail for non-image file attachments. Displays file type icon based on extension,
+ * file name (truncated), and file size.
+ * Handles text files, PDFs, audio, and other document types.
+ */
+export { default as ChatAttachmentThumbnailFile } from './ChatAttachments/ChatAttachmentThumbnailFile.svelte';
+
+/**
+ * Thumbnail for image attachments with lazy loading and error fallback.
+ * Displays image preview with configurable dimensions. Falls back to placeholder
+ * on load error.
+ */
+export { default as ChatAttachmentThumbnailImage } from './ChatAttachments/ChatAttachmentThumbnailImage.svelte';
+
+/**
+ * Grid view of all attachments for "View All" dialog. Displays all attachments
+ * in a responsive grid layout when there are too many to show inline.
+ * Triggered by "+X more" button in ChatAttachmentsList.
+ */
+export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachmentsViewAll.svelte';
+
+/**
+ *
+ * FORM
+ *
+ * Components for the chat input area. The form handles user input, file attachments,
+ * audio recording, and MCP prompts & resources selection. It integrates with multiple stores:
+ * - `chatStore` for message submission and generation control
+ * - `modelsStore` for model selection and validation
+ * - `mcpStore` for MCP prompt browsing and loading
+ *
+ * The form exposes a public API for programmatic control from parent components
+ * (focus, height reset, model selector, validation).
+ *
+ */
+
+/**
+ * **ChatForm** - Main chat input component with rich features
+ *
+ * The primary input interface for composing and sending chat messages.
+ * Orchestrates text input, file attachments, audio recording, and MCP prompts.
+ * Used by ChatScreenForm and ChatMessageEditForm for both new conversations and message editing.
+ *
+ * **Architecture:**
+ * - Composes ChatFormTextarea, ChatFormActions, and ChatFormPromptPicker
+ * - Manages file upload state via `uploadedFiles` bindable prop
+ * - Integrates with ModelsSelector for model selection in router mode
+ * - Communicates with parent via callbacks (onSubmit, onFilesAdd, onStop, etc.)
+ *
+ * **Input Handling:**
+ * - IME-safe Enter key handling (waits for composition end)
+ * - Shift+Enter for newline, Enter for submit
+ * - Paste handler for files and long text (> {pasteLongTextToFileLen} chars → file conversion)
+ * - Keyboard shortcut `/` triggers MCP prompt picker
+ *
+ * **Features:**
+ * - Auto-resizing textarea with placeholder
+ * - File upload via button dropdown (images/text/PDF), drag-drop, or paste
+ * - Audio recording with WAV conversion (when model supports audio)
+ * - MCP prompt picker with search and argument forms
+ * - MCP reource picker with component to list attached resources at the bottom of Chat Form
+ * - Model selector integration (router mode)
+ * - Loading state with stop button, disabled state for errors
+ *
+ * **Exported API:**
+ * - `focus()` - Focus the textarea programmatically
+ * - `resetTextareaHeight()` - Reset textarea to default height after submit
+ * - `openModelSelector()` - Open model selection dropdown
+ * - `checkModelSelected(): boolean` - Validate model selection, show error if none
+ *
+ * @example
+ * ```svelte
+ * <ChatForm
+ *   bind:this={chatFormRef}
+ *   bind:value={message}
+ *   bind:uploadedFiles
+ *   {isLoading}
+ *   onSubmit={handleSubmit}
+ *   onFilesAdd={processFiles}
+ *   onStop={handleStop}
+ * />
+ * ```
+ */
+export { default as ChatForm } from './ChatForm/ChatForm.svelte';
+
+/**
+ * Dropdown button for file attachment selection. Opens a menu with options for
+ * Images, Text Files, and PDF Files. Each option filters the file picker to
+ * appropriate types. Images option is disabled when model lacks vision modality.
+ */
+export { default as ChatFormActionAttachmentsDropdown } from './ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte';
+
+/**
+ * Mobile sheet variant of the file attachment selector. Renders a bottom sheet
+ * with the same options as ChatFormActionAttachmentsDropdown, optimized for
+ * touch interaction on mobile devices.
+ */
+export { default as ChatFormActionAttachmentsSheet } from './ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte';
+
+/**
+ * Audio recording button with real-time recording indicator. Records audio
+ * and converts to WAV format for upload. Only visible when the active model
+ * supports audio modality and setting for automatic audio input is enabled. Shows recording duration while active.
+ */
+export { default as ChatFormActionRecord } from './ChatForm/ChatFormActions/ChatFormActionRecord.svelte';
+
+/**
+ * Container for chat form action buttons. Arranges file attachment, audio record,
+ * and submit/stop buttons in a horizontal layout. Handles conditional visibility
+ * based on model capabilities and loading state.
+ */
+export { default as ChatFormActions } from './ChatForm/ChatFormActions/ChatFormActions.svelte';
+
+/**
+ * Submit/stop button with loading state. Shows send icon normally, transforms
+ * to stop icon during generation. Disabled when input is empty or form is disabled.
+ * Triggers onSubmit or onStop callbacks based on current state.
+ */
+export { default as ChatFormActionSubmit } from './ChatForm/ChatFormActions/ChatFormActionSubmit.svelte';
+
+/**
+ * Hidden file input element for programmatic file selection.
+ */
+export { default as ChatFormFileInputInvisible } from './ChatForm/ChatFormFileInputInvisible.svelte';
+
+/**
+ * Helper text display below chat.
+ */
+export { default as ChatFormHelperText } from './ChatForm/ChatFormHelperText.svelte';
+
+/**
+ * Auto-resizing textarea with IME composition support. Automatically adjusts
+ * height based on content. Handles IME input correctly (waits for composition
+ * end before processing Enter key). Exposes focus() and resetHeight() methods.
+ */
+export { default as ChatFormTextarea } from './ChatForm/ChatFormTextarea.svelte';
+
+/**
+ * **ChatFormPromptPicker** - MCP prompt selection interface
+ *
+ * Floating picker for browsing and selecting MCP Server Prompts.
+ * Triggered by typing `/` in the chat input or choosing `MCP Prompt` option in ChatFormActionAttachmentsDropdown.
+ * Loads prompts from connected MCP servers and allows users to select and configure them.
+ *
+ * **Architecture:**
+ * - Fetches available prompts from mcpStore
+ * - Manages selection state and keyboard navigation internally
+ * - Delegates argument input to ChatFormPromptPickerArgumentForm
+ * - Communicates prompt loading lifecycle via callbacks
+ *
+ * **Prompt Loading Flow:**
+ * 1. User selects prompt → `onPromptLoadStart` called with placeholder ID
+ * 2. Prompt content fetched from MCP server asynchronously
+ * 3. On success → `onPromptLoadComplete` with full prompt data
+ * 4. On failure → `onPromptLoadError` with error details
+ *
+ * **Features:**
+ * - Search/filter prompts by name across all connected servers
+ * - Keyboard navigation (↑/↓ to navigate, Enter to select, Esc to close)
+ * - Argument input forms for prompts with required parameters
+ * - Autocomplete suggestions for argument values
+ * - Loading states with skeleton placeholders
+ * - Server information header per prompt for visual identification
+ *
+ * **Exported API:**
+ * - `handleKeydown(event): boolean` - Process keyboard events, returns true if handled
+ *
+ * @example
+ * ```svelte
+ * <ChatFormPromptPicker
+ *   bind:this={pickerRef}
+ *   isOpen={showPicker}
+ *   searchQuery={promptQuery}
+ *   onClose={() => showPicker = false}
+ *   onPromptLoadStart={(id, info) => addPlaceholder(id, info)}
+ *   onPromptLoadComplete={(id, result) => replacePlaceholder(id, result)}
+ *   onPromptLoadError={(id, error) => handleError(id, error)}
+ * />
+ * ```
+ */
+export { default as ChatFormPromptPicker } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte';
+
+/**
+ * Form for entering MCP prompt arguments. Displays input fields for each
+ * required argument defined by the prompt. Validates input and submits
+ * when all required fields are filled. Shows argument descriptions as hints.
+ */
+export { default as ChatFormPromptPickerArgumentForm } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte';
+
+/**
+ * Single argument input field with autocomplete suggestions. Fetches suggestions
+ * from MCP server based on argument type. Supports keyboard navigation through
+ * suggestions list. Used within ChatFormPromptPickerArgumentForm.
+ */
+export { default as ChatFormPromptPickerArgumentInput } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte';
+
+/**
+ * Shared popover wrapper for inline picker popovers (prompts, resources).
+ * Provides consistent positioning, styling, and open/close behavior.
+ */
+export { default as ChatFormPickerPopover } from './ChatForm/ChatFormPickerPopover.svelte';
+
+/**
+ * Generic scrollable list for picker popovers. Provides search input,
+ * scroll-into-view for keyboard navigation, loading skeletons, empty state,
+ * and optional footer. Uses Svelte 5 snippets for item/skeleton/footer rendering.
+ * Shared by ChatFormPromptPicker and ChatFormResourcePicker.
+ */
+export { default as ChatFormPickerList } from './ChatForm/ChatFormPicker/ChatFormPickerList.svelte';
+
+/**
+ * Generic button wrapper for picker list items. Provides consistent styling,
+ * hover/selected states, and data-picker-index attribute for scroll-into-view.
+ * Shared by ChatFormPromptPicker and ChatFormResourcePicker.
+ */
+export { default as ChatFormPickerListItem } from './ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte';
+
+/**
+ * Generic header for picker items displaying server favicon, label, item title,
+ * and optional description. Accepts `titleExtra` and `subtitle` snippets for
+ * custom content like badges or URIs. Shared by both pickers.
+ */
+export { default as ChatFormPickerItemHeader } from './ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte';
+
+/**
+ * Generic skeleton loading placeholder for picker list items. Configurable
+ * title width and optional badge skeleton. Shared by both pickers.
+ */
+export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte';
+
+/**
+ * **ChatFormResourcePicker** - MCP resource selection interface
+ *
+ * Floating picker for browsing and attaching MCP Server Resources.
+ * Triggered by typing `@` in the chat input.
+ * Loads resources from connected MCP servers and allows users to attach them to the chat context.
+ *
+ * **Features:**
+ * - Search/filter resources by name, title, description, or URI across all connected servers
+ * - Keyboard navigation (↑/↓ to navigate, Enter to select, Esc to close)
+ * - Shows attached state for already-attached resources
+ * - Loading states with skeleton placeholders
+ * - Server information header per resource for visual identification
+ *
+ * **Exported API:**
+ * - `handleKeydown(event): boolean` - Process keyboard events, returns true if handled
+ */
+export { default as ChatFormResourcePicker } from './ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte';
+
+/**
+ *
+ * MESSAGES
+ *
+ * Components for displaying chat messages. The message system supports:
+ * - **Conversation branching**: Messages can have siblings (alternative versions)
+ *   created by editing or regenerating. Users can navigate between branches.
+ * - **Role-based rendering**: Different layouts for user, assistant, and system messages
+ * - **Streaming support**: Real-time display of assistant responses as they generate
+ * - **Agentic workflows**: Special rendering for tool calls and reasoning blocks
+ *
+ * The branching system uses `getMessageSiblings()` utility to compute sibling info
+ * for each message based on the full conversation tree stored in the database.
+ *
+ */
+
+/**
+ * **ChatMessages** - Message list container with branching support
+ *
+ * Container component that renders the list of messages in a conversation.
+ * Computes sibling information for each message to enable branch navigation.
+ * Integrates with conversationsStore for message operations.
+ *
+ * **Architecture:**
+ * - Fetches all conversation messages to compute sibling relationships
+ * - Filters system messages based on user config (`showSystemMessage`)
+ * - Delegates rendering to ChatMessage for each message
+ * - Propagates all message operations to chatStore via callbacks
+ *
+ * **Branching Logic:**
+ * - Uses `getMessageSiblings()` to find all messages with same parent
+ * - Computes `siblingInfo: { currentIndex, totalSiblings, siblingIds }`
+ * - Enables navigation between alternative message versions
+ *
+ * **Message Operations (delegated to chatStore):**
+ * - Edit with branching: Creates new message branch, preserves original
+ * - Edit with replacement: Modifies message in place
+ * - Regenerate: Creates new assistant response as sibling
+ * - Delete: Removes message and all descendants (cascade)
+ * - Continue: Appends to incomplete assistant message
+ *
+ * @example
+ * ```svelte
+ * <ChatMessages
+ *   messages={activeMessages()}
+ *   onUserAction={resetAutoScroll}
+ * />
+ * ```
+ */
+export { default as ChatMessages } from './ChatMessages/ChatMessages.svelte';
+
+/**
+ * **ChatMessage** - Single message display with actions
+ *
+ * Renders a single chat message with role-specific styling and full action
+ * support. Delegates to specialized components based on message role:
+ * ChatMessageUser, ChatMessageAssistant, or ChatMessageSystem.
+ *
+ * **Architecture:**
+ * - Routes to role-specific component based on `message.type`
+ * - Manages edit mode state and inline editing UI
+ * - Handles action callbacks (copy, edit, delete, regenerate)
+ * - Displays branching controls when message has siblings
+ *
+ * **User Messages:**
+ * - Shows attachments via ChatAttachmentsList
+ * - Displays MCP prompts if present
+ * - Edit creates new branch or preserves responses
+ *
+ * **Assistant Messages:**
+ * - Renders content via MarkdownContent or ChatMessageAgenticContent
+ * - Shows model info badge (when enabled)
+ * - Regenerate creates sibling with optional model override
+ * - Continue action for incomplete responses
+ *
+ * **Features:**
+ * - Inline editing with file attachments support
+ * - Copy formatted content to clipboard
+ * - Delete with confirmation (shows cascade delete count)
+ * - Branching controls for sibling navigation
+ * - Statistics display (tokens, timing)
+ *
+ * @example
+ * ```svelte
+ * <ChatMessage
+ *   {message}
+ *   {siblingInfo}
+ *   onEditWithBranching={handleEdit}
+ *   onRegenerateWithBranching={handleRegenerate}
+ *   onNavigateToSibling={handleNavigate}
+ * />
+ * ```
+ */
+export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte';
+
+/**
+ * **ChatMessageAgenticContent** - Agentic workflow output display
+ *
+ * Specialized renderer for assistant messages containing agentic workflow markers.
+ * Parses structured content and displays tool calls and reasoning blocks as
+ * interactive collapsible sections with real-time streaming support.
+ *
+ * **Architecture:**
+ * - Uses `parseAgenticContent()` from `$lib/utils` to parse markers
+ * - Renders sections as CollapsibleContentBlock components
+ * - Handles streaming state for progressive content display
+ * - Falls back to MarkdownContent for plain text sections
+ *
+ * **Marker Format:**
+ * - Tool calls: in constants/agentic.ts (AGENTIC_TAGS)
+ * - Reasoning: in constants/agentic.ts (REASONING_TAGS)
+ * - Partial markers handled gracefully during streaming
+ *
+ * **Execution States:**
+ * - **Streaming**: Animated spinner, block expanded, auto-scroll enabled
+ * - **Pending**: Waiting indicator for queued tool calls
+ * - **Completed**: Static display, block collapsed by default
+ *
+ * **Features:**
+ * - JSON arguments syntax highlighting via SyntaxHighlightedCode
+ * - Tool results display with formatting
+ * - Plain text sections between markers rendered as markdown
+ * - Smart collapse defaults (expanded while streaming, collapsed when done)
+ *
+ * @example
+ * ```svelte
+ * <ChatMessageAgenticContent
+ *   content={message.content}
+ *   {message}
+ *   isStreaming={isGenerating}
+ * />
+ * ```
+ */
+export { default as ChatMessageAgenticContent } from './ChatMessages/ChatMessageAgenticContent.svelte';
+
+/**
+ * Action buttons toolbar for messages. Displays copy, edit, delete, and regenerate
+ * buttons based on message role. Includes branching controls when message has siblings.
+ * Shows delete confirmation dialog with cascade delete count. Handles raw output toggle
+ * for assistant messages.
+ */
+export { default as ChatMessageActions } from './ChatMessages/ChatMessageActions.svelte';
+
+/**
+ * Navigation controls for message siblings (conversation branches). Displays
+ * prev/next arrows with current position counter (e.g., "2/5"). Enables users
+ * to navigate between alternative versions of a message created by editing
+ * or regenerating. Uses `conversationsStore.navigateToSibling()` for navigation.
+ */
+export { default as ChatMessageBranchingControls } from './ChatMessages/ChatMessageBranchingControls.svelte';
+
+/**
+ * Statistics display for assistant messages. Shows token counts (prompt/completion),
+ * generation timing, tokens per second, and model name (when enabled in settings).
+ * Data sourced from message.timings stored during generation.
+ */
+export { default as ChatMessageStatistics } from './ChatMessages/ChatMessageStatistics.svelte';
+
+/**
+ * MCP prompt display in user messages. Shows when user selected an MCP prompt
+ * via ChatFormPromptPicker. Displays server name, prompt name, and expandable
+ * content preview. Stored in message.extra as DatabaseMessageExtraMcpPrompt.
+ */
+export { default as ChatMessageMcpPrompt } from './ChatMessages/ChatMessageMcpPrompt.svelte';
+
+/**
+ * Formatted content display for MCP prompt messages. Renders the full prompt
+ * content with arguments in a readable format. Used within ChatMessageMcpPrompt
+ * for the expanded view.
+ */
+export { default as ChatMessageMcpPromptContent } from './ChatMessages/ChatMessageMcpPromptContent.svelte';
+
+/**
+ * System message display component. Renders system messages with distinct styling.
+ * Visibility controlled by `showSystemMessage` config setting.
+ */
+export { default as ChatMessageSystem } from './ChatMessages/ChatMessageSystem.svelte';
+
+/**
+ * User message display component. Renders user messages with right-aligned bubble styling.
+ * Shows message content, attachments via ChatAttachmentsList, and MCP prompts if present.
+ * Supports inline editing mode with ChatMessageEditForm integration.
+ */
+export { default as ChatMessageUser } from './ChatMessages/ChatMessageUser.svelte';
+
+/**
+ * Assistant message display component. Renders assistant responses with left-aligned styling.
+ * Supports both plain markdown content (via MarkdownContent) and agentic content with tool calls
+ * (via ChatMessageAgenticContent). Shows model info badge, statistics, and action buttons.
+ * Handles streaming state with real-time content updates.
+ */
+export { default as ChatMessageAssistant } from './ChatMessages/ChatMessageAssistant.svelte';
+
+/**
+ * Inline message editing form. Provides textarea for editing message content with
+ * attachment management. Shows save/cancel buttons and optional "Save only" button
+ * for editing without regenerating responses. Used within ChatMessage components
+ * when user enters edit mode.
+ */
+export { default as ChatMessageEditForm } from './ChatMessages/ChatMessageEditForm.svelte';
+
+/**
+ *
+ * SCREEN
+ *
+ * Top-level chat interface components. ChatScreen is the main container that
+ * orchestrates all chat functionality. It integrates with multiple stores:
+ * - `chatStore` for message operations and generation control
+ * - `conversationsStore` for conversation management
+ * - `serverStore` for server connection state
+ * - `modelsStore` for model capabilities (vision, audio modalities)
+ *
+ * The screen handles the complete chat lifecycle from empty state to active
+ * conversation with streaming responses.
+ *
+ */
+
+/**
+ * **ChatScreen** - Main chat interface container
+ *
+ * Top-level component that orchestrates the entire chat interface. Manages
+ * messages display, input form, file handling, auto-scroll, error dialogs,
+ * and server state. Used as the main content area in chat routes.
+ *
+ * **Architecture:**
+ * - Composes ChatMessages, ChatScreenForm, ChatScreenHeader, and dialogs
+ * - Manages auto-scroll via `createAutoScrollController()` hook
+ * - Handles file upload pipeline (validation → processing → state update)
+ * - Integrates with serverStore for loading/error/warning states
+ * - Tracks active model for modality validation (vision, audio)
+ *
+ * **File Upload Pipeline:**
+ * 1. Files received via drag-drop, paste, or file picker
+ * 2. Validated against supported types (`isFileTypeSupported()`)
+ * 3. Filtered by model modalities (`filterFilesByModalities()`)
+ * 4. Empty files detected and reported via DialogEmptyFileAlert
+ * 5. Valid files processed to ChatUploadedFile[] format
+ * 6. Unsupported files shown in error dialog with reasons
+ *
+ * **State Management:**
+ * - `isEmpty`: Shows centered welcome UI when no conversation active
+ * - `isCurrentConversationLoading`: Tracks generation state for current chat
+ * - `activeModelId`: Determines available modalities for file validation
+ * - `uploadedFiles`: Pending file attachments for next message
+ *
+ * **Features:**
+ * - Messages display with smart auto-scroll (pauses on user scroll up)
+ * - File drag-drop with visual overlay indicator
+ * - File validation with detailed error messages
+ * - Error dialog management (chat errors, model unavailable)
+ * - Server loading/error/warning states with appropriate UI
+ * - Conversation deletion with confirmation dialog
+ * - Processing info display (tokens/sec, timing) during generation
+ * - Keyboard shortcuts (Ctrl+Shift+Backspace to delete conversation)
+ *
+ * @example
+ * ```svelte
+ * <!-- In chat route -->
+ * <ChatScreen showCenteredEmpty />
+ *
+ * <!-- In conversation route -->
+ * <ChatScreen showCenteredEmpty={false} />
+ * ```
+ */
+export { default as ChatScreen } from './ChatScreen/ChatScreen.svelte';
+
+/**
+ * Visual overlay displayed when user drags files over the chat screen.
+ * Shows drop zone indicator to guide users where to release files.
+ * Integrated with ChatScreen's drag-drop file upload handling.
+ */
+export { default as ChatScreenDragOverlay } from './ChatScreen/ChatScreenDragOverlay.svelte';
+
+/**
+ * Chat form wrapper within ChatScreen. Positions the ChatForm component at the
+ * bottom of the screen with proper padding and max-width constraints. Handles
+ * the visual container styling for the input area.
+ */
+export { default as ChatScreenForm } from './ChatScreen/ChatScreenForm.svelte';
+
+/**
+ * Header bar for chat screen. Displays conversation title (or "New Chat"),
+ * model selector (in router mode), and action buttons (delete conversation).
+ * Sticky positioned at the top of the chat area.
+ */
+export { default as ChatScreenHeader } from './ChatScreen/ChatScreenHeader.svelte';
+
+/**
+ * Processing info display during generation. Shows real-time statistics:
+ * tokens per second, prompt/completion token counts, and elapsed time.
+ * Data sourced from slotsService polling during active generation.
+ * Only visible when `isCurrentConversationLoading` is true.
+ */
+export { default as ChatScreenProcessingInfo } from './ChatScreen/ChatScreenProcessingInfo.svelte';
+
+/**
+ *
+ * SETTINGS
+ *
+ * Application settings components. Settings are persisted to localStorage via
+ * the config store and synchronized with server `/props` endpoint for sampling
+ * parameters. The settings panel uses a tabbed interface with mobile-responsive
+ * horizontal scrolling tabs.
+ *
+ * **Parameter Sync System:**
+ * Sampling parameters (temperature, top_p, etc.) can come from three sources:
+ * 1. **Server Props**: Default values from `/props` endpoint
+ * 2. **User Custom**: Values explicitly set by user (overrides server)
+ * 3. **App Default**: Fallback when server props unavailable
+ *
+ * The `ChatSettingsParameterSourceIndicator` badge shows which source is active.
+ *
+ */
+
+/**
+ * **ChatSettings** - Application settings panel
+ *
+ * Comprehensive settings interface with categorized sections. Manages all
+ * user preferences and sampling parameters. Integrates with config store
+ * for persistence and ParameterSyncService for server synchronization.
+ *
+ * **Architecture:**
+ * - Uses tabbed navigation with category sections
+ * - Maintains local form state, commits on save
+ * - Tracks user overrides vs server defaults for sampling params
+ * - Exposes reset() method for dialog close without save
+ *
+ * **Categories:**
+ * - **General**: API key, system message, show system messages toggle
+ * - **Display**: Theme selection, message actions visibility, model info badge
+ * - **Sampling**: Temperature, top_p, top_k, min_p, repeat_penalty, etc.
+ * - **Penalties**: Frequency penalty, presence penalty, repeat last N
+ * - **Import/Export**: Conversation backup and restore
+ * - **MCP**: MCP server management (opens DialogChatSettings with MCP tab)
+ * - **Developer**: Debug options, disable auto-scroll
+ *
+ * **Parameter Sync:**
+ * - Fetches defaults from server `/props` endpoint
+ * - Shows source indicator badge (Custom/Server Props/Default)
+ * - Real-time badge updates as user types
+ * - Tracks which parameters user has explicitly overridden
+ *
+ * **Features:**
+ * - Mobile-responsive layout with horizontal scrolling tabs
+ * - Form validation with error messages
+ * - Secure API key storage (masked input)
+ * - Import/export conversations as JSON
+ * - Reset to defaults option per parameter
+ *
+ * **Exported API:**
+ * - `reset()` - Reset form fields to currently saved values (for cancel action)
+ *
+ * @example
+ * ```svelte
+ * <ChatSettings
+ *   bind:this={settingsRef}
+ *   onSave={() => dialogOpen = false}
+ *   onCancel={() => { settingsRef.reset(); dialogOpen = false; }}
+ * />
+ * ```
+ */
+export { default as ChatSettings } from './ChatSettings/ChatSettings.svelte';
+
+/**
+ * Footer with save/cancel buttons for settings panel. Positioned at bottom
+ * of settings dialog. Save button commits form state to config store,
+ * cancel button triggers reset and close.
+ */
+export { default as ChatSettingsFooter } from './ChatSettings/ChatSettingsFooter.svelte';
+
+/**
+ * Form fields renderer for individual settings. Generates appropriate input
+ * components based on field type (text, number, select, checkbox, textarea).
+ * Handles validation, help text display, and parameter source indicators.
+ */
+export { default as ChatSettingsFields } from './ChatSettings/ChatSettingsFields.svelte';
+
+/**
+ * Import/export tab content for conversation data management. Provides buttons
+ * to export all conversations as JSON file and import from JSON file.
+ * Handles file download/upload and data validation.
+ */
+export { default as ChatSettingsImportExportTab } from './ChatSettings/ChatSettingsImportExportTab.svelte';
+
+/**
+ * Badge indicating parameter source for sampling settings. Shows one of:
+ * - **Custom**: User has explicitly set this value (orange badge)
+ * - **Server Props**: Using default from `/props` endpoint (blue badge)
+ * - **Default**: Using app default, server props unavailable (gray badge)
+ * Updates in real-time as user types to show immediate feedback.
+ */
+export { default as ChatSettingsParameterSourceIndicator } from './ChatSettings/ChatSettingsParameterSourceIndicator.svelte';
+
+/**
+ *
+ * SIDEBAR
+ *
+ * The sidebar integrates with ShadCN's sidebar component system
+ * for consistent styling and mobile responsiveness.
+ * Conversations are loaded from conversationsStore and displayed in reverse
+ * chronological order (most recent first).
+ *
+ */
+
+/**
+ * **ChatSidebar** - Chat Sidebar with actions menu and conversation list
+ *
+ * Collapsible sidebar displaying conversation history with search and
+ * management actions. Integrates with ShadCN sidebar component for
+ * consistent styling and mobile responsiveness.
+ *
+ * **Architecture:**
+ * - Uses ShadCN Sidebar.* components for structure
+ * - Fetches conversations from conversationsStore
+ * - Manages search state and filtered results locally
+ * - Handles conversation CRUD operations via conversationsStore
+ *
+ * **Navigation:**
+ * - Click conversation to navigate to `/chat/[id]`
+ * - New chat button navigates to `/` (root)
+ * - Active conversation highlighted based on route params
+ *
+ * **Conversation Management:**
+ * - Right-click or menu button for context menu
+ * - Rename: Opens inline edit dialog
+ * - Delete: Shows confirmation with conversation preview
+ * - Delete All: Removes all conversations with confirmation
+ *
+ * **Features:**
+ * - Search/filter conversations by title
+ * - Conversation list with message previews (first message truncated)
+ * - Active conversation highlighting
+ * - Mobile-responsive collapse/expand via ShadCN sidebar
+ * - New chat button in header
+ * - Settings button opens DialogChatSettings
+ *
+ * **Exported API:**
+ * - `handleMobileSidebarItemClick()` - Close sidebar on mobile after item selection
+ * - `activateSearchMode()` - Focus search input programmatically
+ * - `editActiveConversation()` - Open rename dialog for current conversation
+ *
+ * @example
+ * ```svelte
+ * <ChatSidebar bind:this={sidebarRef} />
+ * ```
+ */
+export { default as ChatSidebar } from './ChatSidebar/ChatSidebar.svelte';
+
+/**
+ * Action buttons for sidebar header. Contains new chat button, settings button,
+ * and delete all conversations button. Manages dialog states for settings and
+ * delete confirmation.
+ */
+export { default as ChatSidebarActions } from './ChatSidebar/ChatSidebarActions.svelte';
+
+/**
+ * Single conversation item in sidebar. Displays conversation title (truncated),
+ * last message preview, and timestamp. Shows context menu on right-click with
+ * rename and delete options. Highlights when active (matches current route).
+ * Handles click to navigate and keyboard accessibility.
+ */
+export { default as ChatSidebarConversationItem } from './ChatSidebar/ChatSidebarConversationItem.svelte';
+
+/**
+ * Search input for filtering conversations in sidebar. Filters conversation
+ * list by title as user types. Shows clear button when query is not empty.
+ * Integrated into sidebar header with proper styling.
+ */
+export { default as ChatSidebarSearch } from './ChatSidebar/ChatSidebarSearch.svelte';
diff --git a/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte b/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte
new file mode 100644
index 00000000000..082738da577
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte
@@ -0,0 +1,97 @@
+<script lang="ts">
+	import ChevronsUpDownIcon from '@lucide/svelte/icons/chevrons-up-down';
+	import * as Collapsible from '$lib/components/ui/collapsible/index.js';
+	import { buttonVariants } from '$lib/components/ui/button/index.js';
+	import { Card } from '$lib/components/ui/card';
+	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
+	import type { Snippet } from 'svelte';
+	import type { Component } from 'svelte';
+
+	interface Props {
+		open?: boolean;
+		class?: string;
+		icon?: Component;
+		iconClass?: string;
+		title: string;
+		subtitle?: string;
+		isStreaming?: boolean;
+		onToggle?: () => void;
+		children: Snippet;
+	}
+
+	let {
+		open = $bindable(false),
+		class: className = '',
+		icon: Icon,
+		iconClass = 'h-4 w-4',
+		title,
+		subtitle,
+		isStreaming = false,
+		onToggle,
+		children
+	}: Props = $props();
+
+	let contentContainer: HTMLDivElement | undefined = $state();
+	const autoScroll = createAutoScrollController();
+
+	$effect(() => {
+		autoScroll.setContainer(contentContainer);
+	});
+
+	$effect(() => {
+		// Only auto-scroll when open and streaming
+		autoScroll.updateInterval(open && isStreaming);
+	});
+
+	function handleScroll() {
+		autoScroll.handleScroll();
+	}
+</script>
+
+<Collapsible.Root
+	{open}
+	onOpenChange={(value) => {
+		open = value;
+		onToggle?.();
+	}}
+	class={className}
+>
+	<Card class="gap-0 border-muted bg-muted/30 py-0">
+		<Collapsible.Trigger class="flex w-full cursor-pointer items-center justify-between p-3">
+			<div class="flex items-center gap-2 text-muted-foreground">
+				{#if Icon}
+					<Icon class={iconClass} />
+				{/if}
+
+				<span class="font-mono text-sm font-medium">{title}</span>
+
+				{#if subtitle}
+					<span class="text-xs italic">{subtitle}</span>
+				{/if}
+			</div>
+
+			<div
+				class={buttonVariants({
+					variant: 'ghost',
+					size: 'sm',
+					class: 'h-6 w-6 p-0 text-muted-foreground hover:text-foreground'
+				})}
+			>
+				<ChevronsUpDownIcon class="h-4 w-4" />
+
+				<span class="sr-only">Toggle content</span>
+			</div>
+		</Collapsible.Trigger>
+
+		<Collapsible.Content>
+			<div
+				bind:this={contentContainer}
+				class="overflow-y-auto border-t border-muted px-3 pb-3"
+				onscroll={handleScroll}
+				style="min-height: var(--min-message-height); max-height: var(--max-message-height);"
+			>
+				{@render children()}
+			</div>
+		</Collapsible.Content>
+	</Card>
+</Collapsible.Root>
diff --git a/tools/server/webui/src/lib/components/app/misc/MarkdownContent.svelte b/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
similarity index 59%
rename from tools/server/webui/src/lib/components/app/misc/MarkdownContent.svelte
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
index cb3ae17a63f..0b10e140080 100644
--- a/tools/server/webui/src/lib/components/app/misc/MarkdownContent.svelte
+++ b/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
@@ -11,53 +11,95 @@
 	import type { Root as MdastRoot } from 'mdast';
 	import { browser } from '$app/environment';
 	import { onDestroy, tick } from 'svelte';
+	import { SvelteMap } from 'svelte/reactivity';
 	import { rehypeRestoreTableHtml } from '$lib/markdown/table-html-restorer';
 	import { rehypeEnhanceLinks } from '$lib/markdown/enhance-links';
 	import { rehypeEnhanceCodeBlocks } from '$lib/markdown/enhance-code-blocks';
+	import { rehypeResolveAttachmentImages } from '$lib/markdown/resolve-attachment-images';
 	import { remarkLiteralHtml } from '$lib/markdown/literal-html';
-	import { copyCodeToClipboard, preprocessLaTeX } from '$lib/utils';
+	import { copyCodeToClipboard, preprocessLaTeX, getImageErrorFallbackHtml } from '$lib/utils';
+	import {
+		IMAGE_NOT_ERROR_BOUND_SELECTOR,
+		DATA_ERROR_BOUND_ATTR,
+		DATA_ERROR_HANDLED_ATTR,
+		BOOL_TRUE_STRING,
+		SETTINGS_KEYS
+	} from '$lib/constants';
+	import { ColorMode, UrlProtocol } from '$lib/enums';
+	import { FileTypeText } from '$lib/enums/files';
+	import { highlightCode, detectIncompleteCodeBlock, type IncompleteCodeBlock } from '$lib/utils';
 	import '$styles/katex-custom.scss';
 	import githubDarkCss from 'highlight.js/styles/github-dark.css?inline';
 	import githubLightCss from 'highlight.js/styles/github.css?inline';
 	import { mode } from 'mode-watcher';
-	import CodePreviewDialog from './CodePreviewDialog.svelte';
+	import { ActionIconsCodeBlock, DialogCodePreview } from '$lib/components/app';
+	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
+	import type { DatabaseMessageExtra } from '$lib/types/database';
+	import { config } from '$lib/stores/settings.svelte';
 
 	interface Props {
+		attachments?: DatabaseMessageExtra[];
 		content: string;
 		class?: string;
+		disableMath?: boolean;
 	}
 
 	interface MarkdownBlock {
 		id: string;
 		html: string;
+		contentHash?: string;
 	}
 
-	let { content, class: className = '' }: Props = $props();
+	let { content, attachments, class: className = '', disableMath = false }: Props = $props();
 
 	let containerRef = $state<HTMLDivElement>();
 	let renderedBlocks = $state<MarkdownBlock[]>([]);
 	let unstableBlockHtml = $state('');
+	let incompleteCodeBlock = $state<IncompleteCodeBlock | null>(null);
 	let previewDialogOpen = $state(false);
 	let previewCode = $state('');
 	let previewLanguage = $state('text');
+	let streamingCodeScrollContainer = $state<HTMLDivElement>();
+
+	// Auto-scroll controller for streaming code block content
+	const streamingAutoScroll = createAutoScrollController();
 
 	let pendingMarkdown: string | null = null;
 	let isProcessing = false;
 
+	// Per-instance transform cache, avoids re-transforming stable blocks during streaming
+	// Garbage collected when component is destroyed (on conversation change)
+	const transformCache = new SvelteMap<string, string>();
+	let previousContent = '';
+
 	const themeStyleId = `highlight-theme-${(window.idxThemeStyle = (window.idxThemeStyle ?? 0) + 1)}`;
 
 	let processor = $derived(() => {
-		return remark()
-			.use(remarkGfm) // GitHub Flavored Markdown
-			.use(remarkMath) // Parse $inline$ and $$block$$ math
+		void attachments;
+		// eslint-disable-next-line @typescript-eslint/no-explicit-any
+		let proc: any = remark().use(remarkGfm); // GitHub Flavored Markdown
+
+		if (!disableMath) {
+			proc = proc.use(remarkMath); // Parse $inline$ and $$block$$ math
+		}
+
+		proc = proc
 			.use(remarkBreaks) // Convert line breaks to <br>
 			.use(remarkLiteralHtml) // Treat raw HTML as literal text with preserved indentation
-			.use(remarkRehype) // Convert Markdown AST to rehype
-			.use(rehypeKatex) // Render math using KaTeX
-			.use(rehypeHighlight) // Add syntax highlighting
+			.use(remarkRehype); // Convert Markdown AST to rehype
+
+		if (!disableMath) {
+			proc = proc.use(rehypeKatex); // Render math using KaTeX
+		}
+
+		return proc
+			.use(rehypeHighlight, {
+				aliases: { [FileTypeText.XML]: [FileTypeText.SVELTE, FileTypeText.VUE] }
+			}) // Add syntax highlighting
 			.use(rehypeRestoreTableHtml) // Restore limited HTML (e.g., <br>, <ul>) inside Markdown tables
 			.use(rehypeEnhanceLinks) // Add target="_blank" to links
 			.use(rehypeEnhanceCodeBlocks) // Wrap code blocks with header and actions
+			.use(rehypeResolveAttachmentImages, { attachments })
 			.use(rehypeStringify, { allowDangerousHtml: true }); // Convert to HTML string
 	});
 
@@ -154,6 +196,61 @@
 		return `${node.type}-${indexFallback}`;
 	}
 
+	/**
+	 * Generates a hash for MDAST node based on its position.
+	 * Used for cache lookup during incremental rendering.
+	 */
+	function getMdastNodeHash(node: unknown, index: number): string {
+		const n = node as {
+			type?: string;
+			position?: { start?: { offset?: number }; end?: { offset?: number } };
+		};
+
+		if (n.position?.start?.offset != null && n.position?.end?.offset != null) {
+			return `${n.type}-${n.position.start.offset}-${n.position.end.offset}`;
+		}
+
+		return `${n.type}-idx${index}`;
+	}
+
+	/**
+	 * Check if we're in append-only mode (streaming).
+	 */
+	function isAppendMode(newContent: string): boolean {
+		return previousContent.length > 0 && newContent.startsWith(previousContent);
+	}
+
+	/**
+	 * Transforms a single MDAST node to HTML string with caching.
+	 * Runs the full remark/rehype plugin pipeline (GFM, math, syntax highlighting, etc.)
+	 * on an isolated single-node tree, then stringifies the resulting HAST to HTML.
+	 * Results are cached by node position hash for streaming performance.
+	 * @param processorInstance - The remark/rehype processor instance
+	 * @param node - The MDAST node to transform
+	 * @param index - Node index for hash fallback
+	 * @returns Object containing the HTML string and cache hash
+	 */
+	async function transformMdastNode(
+		processorInstance: ReturnType<typeof processor>,
+		node: unknown,
+		index: number
+	): Promise<{ html: string; hash: string }> {
+		const hash = getMdastNodeHash(node, index);
+
+		const cached = transformCache.get(hash);
+		if (cached) {
+			return { html: cached, hash };
+		}
+
+		const singleNodeRoot = { type: 'root', children: [node] };
+		const transformedRoot = (await processorInstance.run(singleNodeRoot as MdastRoot)) as HastRoot;
+		const html = processorInstance.stringify(transformedRoot);
+
+		transformCache.set(hash, html);
+
+		return { html, hash };
+	}
+
 	/**
 	 * Handles click events on copy buttons within code blocks.
 	 * Copies the raw code content to the clipboard.
@@ -225,50 +322,131 @@
 	/**
 	 * Processes markdown content into stable and unstable HTML blocks.
 	 * Uses incremental rendering: stable blocks are cached, unstable block is re-rendered.
+	 * Incomplete code blocks are rendered using SyntaxHighlightedCode to maintain interactivity.
 	 * @param markdown - The raw markdown string to process
 	 */
 	async function processMarkdown(markdown: string) {
+		// Early exit if content unchanged (can happen with rapid coalescing)
+		if (markdown === previousContent) {
+			return;
+		}
+
 		if (!markdown) {
 			renderedBlocks = [];
 			unstableBlockHtml = '';
+			incompleteCodeBlock = null;
+			previousContent = '';
+			return;
+		}
+
+		// Check for incomplete code block at the end of content
+		const incompleteBlock = detectIncompleteCodeBlock(markdown);
+
+		if (incompleteBlock) {
+			// Process only the prefix (content before the incomplete code block)
+			const prefixMarkdown = markdown.slice(0, incompleteBlock.openingIndex);
+
+			if (prefixMarkdown.trim()) {
+				const normalizedPrefix = preprocessLaTeX(prefixMarkdown);
+				const processorInstance = processor();
+				const ast = processorInstance.parse(normalizedPrefix) as MdastRoot;
+				const mdastChildren = (ast as { children?: unknown[] }).children ?? [];
+				const nextBlocks: MarkdownBlock[] = [];
+
+				// Check if we're in append mode for cache reuse
+				const appendMode = isAppendMode(prefixMarkdown);
+				const previousBlockCount = appendMode ? renderedBlocks.length : 0;
+
+				// All prefix blocks are now stable since code block is separate
+				for (let index = 0; index < mdastChildren.length; index++) {
+					const child = mdastChildren[index];
+
+					// In append mode, reuse previous blocks if unchanged
+					if (appendMode && index < previousBlockCount) {
+						const prevBlock = renderedBlocks[index];
+						const currentHash = getMdastNodeHash(child, index);
+
+						if (prevBlock?.contentHash === currentHash) {
+							nextBlocks.push(prevBlock);
+
+							continue;
+						}
+					}
+
+					// Transform this block (with caching)
+					const { html, hash } = await transformMdastNode(processorInstance, child, index);
+					const id = getHastNodeId(
+						{ position: (child as { position?: unknown }).position } as HastRootContent,
+						index
+					);
+
+					nextBlocks.push({ id, html, contentHash: hash });
+				}
+
+				renderedBlocks = nextBlocks;
+			} else {
+				renderedBlocks = [];
+			}
+
+			previousContent = prefixMarkdown;
+			unstableBlockHtml = '';
+			incompleteCodeBlock = incompleteBlock;
+
 			return;
 		}
 
+		// No incomplete code block - use standard processing
+		incompleteCodeBlock = null;
+
 		const normalized = preprocessLaTeX(markdown);
 		const processorInstance = processor();
 		const ast = processorInstance.parse(normalized) as MdastRoot;
-		const processedRoot = (await processorInstance.run(ast)) as HastRoot;
-		const processedChildren = processedRoot.children ?? [];
-		const stableCount = Math.max(processedChildren.length - 1, 0);
+		const mdastChildren = (ast as { children?: unknown[] }).children ?? [];
+		const stableCount = Math.max(mdastChildren.length - 1, 0);
 		const nextBlocks: MarkdownBlock[] = [];
 
+		// Check if we're in append mode for cache reuse
+		const appendMode = isAppendMode(markdown);
+		const previousBlockCount = appendMode ? renderedBlocks.length : 0;
+
 		for (let index = 0; index < stableCount; index++) {
-			const hastChild = processedChildren[index];
-			const id = getHastNodeId(hastChild, index);
-			const existing = renderedBlocks[index];
+			const child = mdastChildren[index];
+
+			// In append mode, reuse previous blocks if unchanged
+			if (appendMode && index < previousBlockCount) {
+				const prevBlock = renderedBlocks[index];
+				const currentHash = getMdastNodeHash(child, index);
+				if (prevBlock?.contentHash === currentHash) {
+					nextBlocks.push(prevBlock);
 
-			if (existing && existing.id === id) {
-				nextBlocks.push(existing);
-				continue;
+					continue;
+				}
 			}
 
-			const html = stringifyProcessedNode(
-				processorInstance,
-				processedRoot,
-				processedChildren[index]
+			// Transform this block (with caching)
+			const { html, hash } = await transformMdastNode(processorInstance, child, index);
+			const id = getHastNodeId(
+				{ position: (child as { position?: unknown }).position } as HastRootContent,
+				index
 			);
 
-			nextBlocks.push({ id, html });
+			nextBlocks.push({ id, html, contentHash: hash });
 		}
 
 		let unstableHtml = '';
 
-		if (processedChildren.length > stableCount) {
-			const unstableChild = processedChildren[stableCount];
-			unstableHtml = stringifyProcessedNode(processorInstance, processedRoot, unstableChild);
+		if (mdastChildren.length > stableCount) {
+			const unstableChild = mdastChildren[stableCount];
+			const singleNodeRoot = { type: 'root', children: [unstableChild] };
+			const transformedRoot = (await processorInstance.run(
+				singleNodeRoot as MdastRoot
+			)) as HastRoot;
+
+			unstableHtml = processorInstance.stringify(transformedRoot);
 		}
 
 		renderedBlocks = nextBlocks;
+		previousContent = markdown;
 		await tick(); // Force DOM sync before updating unstable HTML block
 		unstableBlockHtml = unstableHtml;
 	}
@@ -299,29 +477,50 @@
 	}
 
 	/**
-	 * Converts a single HAST node to an enhanced HTML string.
-	 * Applies link and code block enhancements to the output.
-	 * @param processorInstance - The remark/rehype processor instance
-	 * @param processedRoot - The full processed HAST root (for context)
-	 * @param child - The specific HAST child node to stringify
-	 * @returns Enhanced HTML string representation of the node
+	 * Attaches error handlers to images to show fallback UI when loading fails (e.g., CORS).
+	 * Uses data-error-bound attribute to prevent duplicate bindings.
 	 */
-	function stringifyProcessedNode(
-		processorInstance: ReturnType<typeof processor>,
-		processedRoot: HastRoot,
-		child: unknown
-	) {
-		const root: HastRoot = {
-			...(processedRoot as HastRoot),
-			children: [child as never]
-		};
+	function setupImageErrorHandlers() {
+		if (!containerRef) return;
+
+		const images = containerRef.querySelectorAll<HTMLImageElement>(IMAGE_NOT_ERROR_BOUND_SELECTOR);
+
+		for (const img of images) {
+			img.dataset[DATA_ERROR_BOUND_ATTR] = BOOL_TRUE_STRING;
+			img.addEventListener('error', handleImageError);
+		}
+	}
+
+	/**
+	 * Handles image load errors by replacing the image with a fallback UI.
+	 * Shows a placeholder with a link to open the image in a new tab.
+	 */
+	function handleImageError(event: Event) {
+		const img = event.target as HTMLImageElement;
+		if (!img || !img.src) return;
+
+		// Don't handle data URLs or already-handled images
+		if (
+			img.src.startsWith(UrlProtocol.DATA) ||
+			img.dataset[DATA_ERROR_HANDLED_ATTR] === BOOL_TRUE_STRING
+		)
+			return;
+		img.dataset[DATA_ERROR_HANDLED_ATTR] = BOOL_TRUE_STRING;
+
+		const src = img.src;
+		// Create fallback element
+		const fallback = document.createElement('div');
+		fallback.className = 'image-load-error';
+		fallback.innerHTML = getImageErrorFallbackHtml(src);
 
-		return processorInstance.stringify(root);
+		// Replace image with fallback
+		img.parentNode?.replaceChild(fallback, img);
 	}
 
 	/**
 	 * Queues markdown for processing with coalescing support.
 	 * Only processes the latest markdown when multiple updates arrive quickly.
+	 * Uses requestAnimationFrame to yield to browser paint between batches.
 	 * @param markdown - The markdown content to render
 	 */
 	async function updateRenderedBlocks(markdown: string) {
@@ -339,6 +538,12 @@
 				pendingMarkdown = null;
 
 				await processMarkdown(nextMarkdown);
+
+				// Yield to browser for paint. During this, new chunks coalesce
+				// into pendingMarkdown, so we always render the latest state.
+				if (pendingMarkdown !== null) {
+					await new Promise((resolve) => requestAnimationFrame(resolve));
+				}
 			}
 		} catch (error) {
 			console.error('Failed to process markdown:', error);
@@ -351,7 +556,7 @@
 
 	$effect(() => {
 		const currentMode = mode.current;
-		const isDark = currentMode === 'dark';
+		const isDark = currentMode === ColorMode.DARK;
 
 		loadHighlightTheme(isDark);
 	});
@@ -366,16 +571,32 @@
 
 		if ((hasRenderedBlocks || hasUnstableBlock) && containerRef) {
 			setupCodeBlockActions();
+			setupImageErrorHandlers();
 		}
 	});
 
+	// Auto-scroll for streaming code block
+	$effect(() => {
+		streamingAutoScroll.setContainer(streamingCodeScrollContainer);
+	});
+
+	$effect(() => {
+		streamingAutoScroll.updateInterval(incompleteCodeBlock !== null);
+	});
+
 	onDestroy(() => {
 		cleanupEventListeners();
 		cleanupHighlightTheme();
+		streamingAutoScroll.destroy();
 	});
 </script>
 
-<div bind:this={containerRef} class={className}>
+<div
+	bind:this={containerRef}
+	class="{className}{config()[SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS]
+		? ' full-height-code-blocks'
+		: ''}"
+>
 	{#each renderedBlocks as block (block.id)}
 		<div class="markdown-block" data-block-id={block.id}>
 			<!-- eslint-disable-next-line no-at-html-tags -->
@@ -389,9 +610,40 @@
 			{@html unstableBlockHtml}
 		</div>
 	{/if}
+
+	{#if incompleteCodeBlock}
+		<div class="code-block-wrapper streaming-code-block relative">
+			<div class="code-block-header">
+				<span class="code-language">{incompleteCodeBlock.language || 'text'}</span>
+				<ActionIconsCodeBlock
+					code={incompleteCodeBlock.code}
+					language={incompleteCodeBlock.language || 'text'}
+					disabled
+					onPreview={(code, lang) => {
+						previewCode = code;
+						previewLanguage = lang;
+						previewDialogOpen = true;
+					}}
+				/>
+			</div>
+			<div
+				bind:this={streamingCodeScrollContainer}
+				class="streaming-code-scroll-container"
+				onscroll={() => streamingAutoScroll.handleScroll()}
+			>
+				<pre class="streaming-code-pre"><code
+						class="hljs language-{incompleteCodeBlock.language || 'text'}"
+						>{@html highlightCode(
+							incompleteCodeBlock.code,
+							incompleteCodeBlock.language || 'text'
+						)}</code
+					></pre>
+			</div>
+		</div>
+	{/if}
 </div>
 
-<CodePreviewDialog
+<DialogCodePreview
 	open={previewDialogOpen}
 	code={previewCode}
 	language={previewLanguage}
@@ -404,9 +656,20 @@
 		display: contents;
 	}
 
+	/* Streaming code block uses .code-block-wrapper styles */
+	.streaming-code-block .streaming-code-pre {
+		background: transparent;
+		padding: 0.5rem;
+		margin: 0;
+		overflow-x: visible;
+		border-radius: 0;
+		border: none;
+		font-size: 0.875rem;
+	}
+
 	/* Base typography styles */
-	div :global(p:not(:last-child)) {
-		margin-bottom: 1rem;
+	div :global(p) {
+		margin-block: 1rem;
 		line-height: 1.75;
 	}
 
@@ -480,12 +743,35 @@
 			'Liberation Mono', Menlo, monospace;
 	}
 
+	div :global(pre) {
+		display: inline;
+		margin: 0 !important;
+		overflow: hidden !important;
+		background: var(--muted);
+		overflow-x: auto;
+		border-radius: 1rem;
+		border: none;
+		line-height: 1 !important;
+	}
+
+	div :global(pre code) {
+		padding: 0 !important;
+		display: inline !important;
+	}
+
+	div :global(code) {
+		background: transparent;
+		color: var(--code-foreground);
+	}
+
 	/* Links */
 	div :global(a) {
 		color: var(--primary);
 		text-decoration: underline;
 		text-underline-offset: 2px;
 		transition: color 0.2s ease;
+		overflow-wrap: anywhere;
+		word-break: break-all;
 	}
 
 	div :global(a:hover) {
@@ -609,22 +895,52 @@
 		margin: 1.5rem 0;
 		border-radius: 0.75rem;
 		overflow: hidden;
-		border: 1px solid var(--border);
+		border: 1px solid color-mix(in oklch, var(--border) 30%, transparent);
 		background: var(--code-background);
+		box-shadow: 0 1px 2px 0 rgb(0 0 0 / 0.05);
+		min-height: var(--min-message-height);
+		max-height: var(--max-message-height);
+	}
+
+	:global(.dark) div :global(.code-block-wrapper) {
+		border-color: color-mix(in oklch, var(--border) 20%, transparent);
+	}
+
+	/* Scroll container for code blocks (both streaming and completed) */
+	div :global(.code-block-scroll-container),
+	.streaming-code-scroll-container {
+		min-height: var(--min-message-height);
+		max-height: var(--max-message-height);
+		overflow-y: auto;
+		overflow-x: auto;
+		padding: 3rem 1rem 1rem;
+		line-height: 1.3;
+	}
+
+	.full-height-code-blocks :global(.code-block-wrapper) {
+		max-height: none;
+	}
+
+	.full-height-code-blocks :global(.code-block-scroll-container),
+	.full-height-code-blocks .streaming-code-scroll-container {
+		max-height: none;
+		overflow-y: visible;
 	}
 
 	div :global(.code-block-header) {
 		display: flex;
 		justify-content: space-between;
 		align-items: center;
-		padding: 0.5rem 1rem;
-		background: hsl(var(--muted) / 0.5);
-		border-bottom: 1px solid var(--border);
+		padding: 0.5rem 1rem 0;
 		font-size: 0.875rem;
+		position: absolute;
+		top: 0;
+		left: 0;
+		right: 0;
 	}
 
 	div :global(.code-language) {
-		color: var(--code-foreground);
+		color: var(--color-foreground);
 		font-weight: 500;
 		font-family:
 			ui-monospace, SFMono-Regular, 'SF Mono', Monaco, 'Cascadia Code', 'Roboto Mono', Consolas,
@@ -664,26 +980,10 @@
 
 	div :global(.code-block-wrapper pre) {
 		background: transparent;
-		padding: 1rem;
 		margin: 0;
-		overflow-x: auto;
 		border-radius: 0;
 		border: none;
 		font-size: 0.875rem;
-		line-height: 1.5;
-	}
-
-	div :global(pre) {
-		background: var(--muted);
-		margin: 1.5rem 0;
-		overflow-x: auto;
-		border-radius: 1rem;
-		border: none;
-	}
-
-	div :global(code) {
-		background: transparent;
-		color: var(--code-foreground);
 	}
 
 	/* Mentions and hashtags */
@@ -726,7 +1026,7 @@
 	/* Disable hover effects when rendering user messages */
 	.markdown-user-content :global(a),
 	.markdown-user-content :global(a:hover) {
-		color: var(--primary-foreground);
+		color: inherit;
 	}
 
 	.markdown-user-content :global(table:hover) {
@@ -867,4 +1167,53 @@
 			background: var(--muted);
 		}
 	}
+
+	/* Image load error fallback */
+	div :global(.image-load-error) {
+		display: flex;
+		align-items: center;
+		justify-content: center;
+		margin: 1.5rem 0;
+		padding: 1.5rem;
+		border-radius: 0.5rem;
+		background: var(--muted);
+		border: 1px dashed var(--border);
+	}
+
+	div :global(.image-error-content) {
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		gap: 0.75rem;
+		color: var(--muted-foreground);
+		text-align: center;
+	}
+
+	div :global(.image-error-content svg) {
+		opacity: 0.5;
+	}
+
+	div :global(.image-error-text) {
+		font-size: 0.875rem;
+	}
+
+	div :global(.image-error-link) {
+		display: inline-flex;
+		align-items: center;
+		gap: 0.375rem;
+		padding: 0.5rem 1rem;
+		font-size: 0.875rem;
+		font-weight: 500;
+		color: var(--primary);
+		background: var(--background);
+		border: 1px solid var(--border);
+		border-radius: 0.375rem;
+		text-decoration: none;
+		transition: all 0.2s ease;
+	}
+
+	div :global(.image-error-link:hover) {
+		background: var(--muted);
+		border-color: var(--primary);
+	}
 </style>
diff --git a/tools/server/webui/src/lib/components/app/misc/SyntaxHighlightedCode.svelte b/tools/server/webui/src/lib/components/app/content/SyntaxHighlightedCode.svelte
similarity index 88%
rename from tools/server/webui/src/lib/components/app/misc/SyntaxHighlightedCode.svelte
rename to tools/server/webui/src/lib/components/app/content/SyntaxHighlightedCode.svelte
index bc42f9dd1e8..41d59324cb4 100644
--- a/tools/server/webui/src/lib/components/app/misc/SyntaxHighlightedCode.svelte
+++ b/tools/server/webui/src/lib/components/app/content/SyntaxHighlightedCode.svelte
@@ -5,6 +5,7 @@
 
 	import githubDarkCss from 'highlight.js/styles/github-dark.css?inline';
 	import githubLightCss from 'highlight.js/styles/github.css?inline';
+	import { ColorMode } from '$lib/enums';
 
 	interface Props {
 		code: string;
@@ -39,7 +40,7 @@
 
 	$effect(() => {
 		const currentMode = mode.current;
-		const isDark = currentMode === 'dark';
+		const isDark = currentMode === ColorMode.DARK;
 
 		loadHighlightTheme(isDark);
 	});
@@ -71,13 +72,11 @@
 </script>
 
 <div
-	class="code-preview-wrapper overflow-auto rounded-lg border border-border bg-muted {className}"
+	class="code-preview-wrapper rounded-lg border border-border bg-muted {className}"
 	style="max-height: {maxHeight}; max-width: {maxWidth};"
 >
 	<!-- Needs to be formatted as single line for proper rendering -->
-	<pre class="m-0 overflow-x-auto p-4"><code class="hljs text-sm leading-relaxed"
-			>{@html highlightedHtml}</code
-		></pre>
+	<pre class="m-0"><code class="hljs text-sm leading-relaxed">{@html highlightedHtml}</code></pre>
 </div>
 
 <style>
diff --git a/tools/server/webui/src/lib/components/app/content/index.ts b/tools/server/webui/src/lib/components/app/content/index.ts
new file mode 100644
index 00000000000..8ab488bc71e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/content/index.ts
@@ -0,0 +1,79 @@
+/**
+ *
+ * CONTENT RENDERING
+ *
+ * Components for rendering rich content: markdown, code, and previews.
+ *
+ */
+
+/**
+ * **MarkdownContent** - Rich markdown renderer
+ *
+ * Renders markdown content with syntax highlighting, LaTeX math,
+ * tables, links, and code blocks. Optimized for streaming with
+ * incremental block-based rendering.
+ *
+ * **Features:**
+ * - GFM (GitHub Flavored Markdown): tables, task lists, strikethrough
+ * - LaTeX math via KaTeX (`$inline$` and `$$block$$`)
+ * - Syntax highlighting (highlight.js) with language detection
+ * - Code copy buttons with click feedback
+ * - External links open in new tab with security attrs
+ * - Image attachment resolution from message extras
+ * - Dark/light theme support (auto-switching)
+ * - Streaming-optimized incremental rendering
+ * - Code preview dialog for large blocks
+ *
+ * @example
+ * ```svelte
+ * <MarkdownContent content={message.content} attachments={message.extra} />
+ * ```
+ */
+export { default as MarkdownContent } from './MarkdownContent.svelte';
+
+/**
+ * **SyntaxHighlightedCode** - Code syntax highlighting
+ *
+ * Renders code with syntax highlighting using highlight.js.
+ * Supports theme switching and scrollable containers.
+ *
+ * **Features:**
+ * - Auto language detection with fallback
+ * - Dark/light theme auto-switching
+ * - Scrollable container with configurable max dimensions
+ * - Monospace font styling
+ * - Preserves whitespace and formatting
+ *
+ * @example
+ * ```svelte
+ * <SyntaxHighlightedCode code={jsonString} language="json" />
+ * ```
+ */
+export { default as SyntaxHighlightedCode } from './SyntaxHighlightedCode.svelte';
+
+/**
+ * **CollapsibleContentBlock** - Expandable content card
+ *
+ * Reusable collapsible card with header, icon, and auto-scroll.
+ * Used for tool calls and reasoning blocks in chat messages.
+ *
+ * **Features:**
+ * - Collapsible content with smooth animation
+ * - Custom icon and title display
+ * - Optional subtitle/status text
+ * - Auto-scroll during streaming (pauses on user scroll)
+ * - Configurable max height with overflow scroll
+ *
+ * @example
+ * ```svelte
+ * <CollapsibleContentBlock
+ *   bind:open
+ *   icon={BrainIcon}
+ *   title="Thinking..."
+ *   isStreaming
+ * >
+ *   {reasoningContent}
+ * </CollapsibleContentBlock>
+ * ```
+ */
+export { default as CollapsibleContentBlock } from './CollapsibleContentBlock.svelte';
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte
index b4340e83e58..54a3c90d3c0 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte
@@ -1,10 +1,11 @@
 <script lang="ts">
 	import * as AlertDialog from '$lib/components/ui/alert-dialog';
 	import { AlertTriangle, TimerOff } from '@lucide/svelte';
+	import { ErrorDialogType } from '$lib/enums';
 
 	interface Props {
 		open: boolean;
-		type: 'timeout' | 'server';
+		type: ErrorDialogType;
 		message: string;
 		contextInfo?: { n_prompt_tokens: number; n_ctx: number };
 		onOpenChange?: (open: boolean) => void;
@@ -12,7 +13,7 @@
 
 	let { open = $bindable(), type, message, contextInfo, onOpenChange }: Props = $props();
 
-	const isTimeout = $derived(type === 'timeout');
+	const isTimeout = $derived(type === ErrorDialogType.TIMEOUT);
 	const title = $derived(isTimeout ? 'TCP Timeout' : 'Server Error');
 	const description = $derived(
 		isTimeout
@@ -58,7 +59,12 @@
 						<span class="font-medium">Prompt tokens:</span>
 						{contextInfo.n_prompt_tokens.toLocaleString()}
 					</p>
-					<p><span class="font-medium">Context size:</span> {contextInfo.n_ctx.toLocaleString()}</p>
+					{#if contextInfo.n_ctx}
+						<p>
+							<span class="font-medium">Context size:</span>
+							{contextInfo.n_ctx.toLocaleString()}
+						</p>
+					{/if}
 				</div>
 			{/if}
 		</div>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte
index e9aaa1000b3..793af9a40f2 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte
@@ -1,13 +1,15 @@
 <script lang="ts">
 	import * as Dialog from '$lib/components/ui/dialog';
 	import { ChatSettings } from '$lib/components/app';
+	import type { SettingsSectionTitle } from '$lib/constants';
 
 	interface Props {
 		onOpenChange?: (open: boolean) => void;
 		open?: boolean;
+		initialSection?: SettingsSectionTitle;
 	}
 
-	let { onOpenChange, open = false }: Props = $props();
+	let { onOpenChange, open = false, initialSection }: Props = $props();
 
 	let chatSettingsRef: ChatSettings | undefined = $state();
 
@@ -28,10 +30,9 @@
 
 <Dialog.Root {open} onOpenChange={handleClose}>
 	<Dialog.Content
-		class="z-999999 flex h-[100dvh] max-h-[100dvh] min-h-[100dvh] flex-col gap-0 rounded-none p-0
-			md:h-[64vh] md:max-h-[64vh] md:min-h-0 md:rounded-lg"
-		style="max-width: 48rem;"
+		class="z-999999 flex h-[100dvh] max-h-[100dvh] min-h-[100dvh] max-w-4xl! flex-col gap-0 rounded-none
+			p-0 md:h-[64vh] md:max-h-[64vh] md:min-h-0 md:rounded-lg"
 	>
-		<ChatSettings bind:this={chatSettingsRef} onSave={handleSave} />
+		<ChatSettings bind:this={chatSettingsRef} onSave={handleSave} {initialSection} />
 	</Dialog.Content>
 </Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/misc/CodePreviewDialog.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/misc/CodePreviewDialog.svelte
rename to tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte
index 702519f9ff9..f339a26f27f 100644
--- a/tools/server/webui/src/lib/components/app/misc/CodePreviewDialog.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte
@@ -37,7 +37,7 @@
 			<iframe
 				bind:this={iframeRef}
 				title="Preview {language}"
-				sandbox="allow-scripts"
+				sandbox="allow-scripts allow-same-origin"
 				class="code-preview-iframe"
 			></iframe>
 
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
index b5175a9925f..d8aa66f3e81 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
@@ -1,6 +1,7 @@
 <script lang="ts">
 	import * as AlertDialog from '$lib/components/ui/alert-dialog';
 	import type { Component } from 'svelte';
+	import { KeyboardKey } from '$lib/enums';
 
 	interface Props {
 		open: boolean;
@@ -29,7 +30,7 @@
 	}: Props = $props();
 
 	function handleKeydown(event: KeyboardEvent) {
-		if (event.key === 'Enter') {
+		if (event.key === KeyboardKey.ENTER) {
 			event.preventDefault();
 			onConfirm();
 		}
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte
new file mode 100644
index 00000000000..ad6c3130b99
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte
@@ -0,0 +1,119 @@
+<script lang="ts">
+	import * as Dialog from '$lib/components/ui/dialog';
+	import { Download } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { SyntaxHighlightedCode, ActionIconCopyToClipboard } from '$lib/components/app';
+	import {
+		getLanguageFromFilename,
+		isCodeResource,
+		isImageResource,
+		downloadResourceContent
+	} from '$lib/utils';
+	import { MimeTypeIncludes, MimeTypeText } from '$lib/enums';
+	import { DEFAULT_RESOURCE_FILENAME } from '$lib/constants';
+	import type { DatabaseMessageExtraMcpResource } from '$lib/types';
+
+	interface Props {
+		open: boolean;
+		onOpenChange?: (open: boolean) => void;
+		extra: DatabaseMessageExtraMcpResource;
+	}
+
+	let { open = $bindable(), onOpenChange, extra }: Props = $props();
+
+	const serverName = $derived(mcpStore.getServerDisplayName(extra.serverName));
+	const favicon = $derived(mcpStore.getServerFavicon(extra.serverName));
+
+	function getLanguage(): string {
+		if (extra.mimeType?.includes(MimeTypeIncludes.JSON)) return MimeTypeIncludes.JSON;
+		if (extra.mimeType?.includes(MimeTypeIncludes.JAVASCRIPT)) return MimeTypeIncludes.JAVASCRIPT;
+		if (extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT)) return MimeTypeIncludes.TYPESCRIPT;
+
+		const name = extra.name || extra.uri || '';
+		return getLanguageFromFilename(name) || 'plaintext';
+	}
+
+	function handleDownload() {
+		if (!extra.content) return;
+		downloadResourceContent(
+			extra.content,
+			extra.mimeType || MimeTypeText.PLAIN,
+			extra.name || DEFAULT_RESOURCE_FILENAME
+		);
+	}
+</script>
+
+<Dialog.Root bind:open {onOpenChange}>
+	<Dialog.Content class="grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl">
+		<Dialog.Header>
+			<Dialog.Title class="pr-8">{extra.name}</Dialog.Title>
+			<Dialog.Description>
+				<div class="flex items-center gap-2">
+					<span class="text-xs text-muted-foreground">{extra.uri}</span>
+
+					{#if serverName}
+						<span class="flex items-center gap-1 text-xs text-muted-foreground">
+							·
+							{#if favicon}
+								<img
+									src={favicon}
+									alt=""
+									class="h-3 w-3 shrink-0 rounded-sm"
+									onerror={(e) => {
+										(e.currentTarget as HTMLImageElement).style.display = 'none';
+									}}
+								/>
+							{/if}
+							{serverName}
+						</span>
+					{/if}
+
+					{#if extra.mimeType}
+						<span class="rounded bg-muted px-1.5 py-0.5 text-xs">{extra.mimeType}</span>
+					{/if}
+				</div>
+			</Dialog.Description>
+		</Dialog.Header>
+
+		<div class="flex items-center justify-end gap-1">
+			<ActionIconCopyToClipboard
+				text={extra.content}
+				canCopy={!!extra.content}
+				ariaLabel="Copy content"
+			/>
+
+			<Button
+				variant="ghost"
+				size="sm"
+				class="h-7 w-7 p-0"
+				onclick={handleDownload}
+				disabled={!extra.content}
+				title="Download content"
+			>
+				<Download class="h-3.5 w-3.5" />
+			</Button>
+		</div>
+
+		<div class="overflow-auto">
+			{#if isImageResource(extra.mimeType, extra.uri) && extra.content}
+				<div class="flex items-center justify-center">
+					<img
+						src={extra.content.startsWith('data:')
+							? extra.content
+							: `data:${extra.mimeType || 'image/png'};base64,${extra.content}`}
+						alt={extra.name}
+						class="max-h-[70vh] max-w-full rounded object-contain"
+					/>
+				</div>
+			{:else if isCodeResource(extra.mimeType, extra.uri) && extra.content}
+				<SyntaxHighlightedCode code={extra.content} language={getLanguage()} maxHeight="70vh" />
+			{:else if extra.content}
+				<pre
+					class="max-h-[70vh] overflow-auto rounded-md border bg-muted/30 p-4 font-mono text-sm break-words whitespace-pre-wrap">{extra.content}</pre>
+			{:else}
+				<div class="py-8 text-center text-sm text-muted-foreground">No content available</div>
+			{/if}
+		</div>
+	</Dialog.Content>
+</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte
new file mode 100644
index 00000000000..db93bb4b693
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte
@@ -0,0 +1,394 @@
+<script lang="ts">
+	import { FolderOpen, Plus, Loader2, Braces } from '@lucide/svelte';
+	import { toast } from 'svelte-sonner';
+	import * as Dialog from '$lib/components/ui/dialog';
+	import { Button } from '$lib/components/ui/button';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import {
+		mcpResources,
+		mcpTotalResourceCount,
+		mcpResourceStore
+	} from '$lib/stores/mcp-resources.svelte';
+	import {
+		McpResourceBrowser,
+		McpResourcePreview,
+		McpResourceTemplateForm
+	} from '$lib/components/app';
+	import { getResourceDisplayName } from '$lib/utils';
+	import type { MCPResourceInfo, MCPResourceContent, MCPResourceTemplateInfo } from '$lib/types';
+	import { SvelteSet } from 'svelte/reactivity';
+
+	interface Props {
+		open?: boolean;
+		onOpenChange?: (open: boolean) => void;
+		onAttach?: (resource: MCPResourceInfo) => void;
+		preSelectedUri?: string;
+	}
+
+	let { open = $bindable(false), onOpenChange, onAttach, preSelectedUri }: Props = $props();
+
+	let selectedResources = new SvelteSet<string>();
+	let lastSelectedUri = $state<string | null>(null);
+	let isAttaching = $state(false);
+
+	let selectedTemplate = $state<MCPResourceTemplateInfo | null>(null);
+	let templatePreviewUri = $state<string | null>(null);
+	let templatePreviewContent = $state<MCPResourceContent[] | null>(null);
+	let templatePreviewLoading = $state(false);
+	let templatePreviewError = $state<string | null>(null);
+
+	const totalCount = $derived(mcpTotalResourceCount());
+
+	$effect(() => {
+		if (open) {
+			loadResources();
+
+			if (preSelectedUri) {
+				selectedResources.clear();
+				selectedResources.add(preSelectedUri);
+				lastSelectedUri = preSelectedUri;
+			}
+		}
+	});
+
+	async function loadResources() {
+		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
+		const initialized = await mcpStore.ensureInitialized(perChatOverrides);
+
+		if (initialized) {
+			await mcpStore.fetchAllResources();
+		}
+	}
+
+	function handleOpenChange(newOpen: boolean) {
+		open = newOpen;
+		onOpenChange?.(newOpen);
+
+		if (!newOpen) {
+			selectedResources.clear();
+			lastSelectedUri = null;
+			clearTemplateState();
+		}
+	}
+
+	function clearTemplateState() {
+		selectedTemplate = null;
+		templatePreviewUri = null;
+		templatePreviewContent = null;
+		templatePreviewLoading = false;
+		templatePreviewError = null;
+	}
+
+	function handleTemplateSelect(template: MCPResourceTemplateInfo) {
+		selectedResources.clear();
+		lastSelectedUri = null;
+
+		if (
+			selectedTemplate?.uriTemplate === template.uriTemplate &&
+			selectedTemplate?.serverName === template.serverName
+		) {
+			clearTemplateState();
+
+			return;
+		}
+
+		selectedTemplate = template;
+		templatePreviewUri = null;
+		templatePreviewContent = null;
+		templatePreviewLoading = false;
+		templatePreviewError = null;
+	}
+
+	async function handleTemplateResolve(uri: string, serverName: string) {
+		templatePreviewUri = uri;
+		templatePreviewContent = null;
+		templatePreviewLoading = true;
+		templatePreviewError = null;
+
+		try {
+			const content = await mcpStore.readResourceByUri(serverName, uri);
+
+			if (content) {
+				templatePreviewContent = content;
+			} else {
+				templatePreviewError = 'Failed to read resource';
+			}
+		} catch (error) {
+			templatePreviewError = error instanceof Error ? error.message : 'Unknown error';
+		} finally {
+			templatePreviewLoading = false;
+		}
+	}
+
+	function handleTemplateCancelForm() {
+		clearTemplateState();
+	}
+
+	async function handleAttachTemplateResource() {
+		if (!templatePreviewUri || !selectedTemplate || !templatePreviewContent) return;
+
+		isAttaching = true;
+
+		try {
+			const knownResource = mcpResourceStore.findResourceByUri(templatePreviewUri);
+
+			if (knownResource) {
+				if (!mcpResourceStore.isAttached(knownResource.uri)) {
+					await mcpStore.attachResource(knownResource.uri);
+				}
+
+				toast.success(`Resource attached: ${knownResource.title || knownResource.name}`);
+			} else {
+				if (mcpResourceStore.isAttached(templatePreviewUri)) {
+					toast.info('Resource already attached');
+					handleOpenChange(false);
+					return;
+				}
+
+				const resourceInfo: MCPResourceInfo = {
+					uri: templatePreviewUri,
+					name: templatePreviewUri.split('/').pop() || templatePreviewUri,
+					serverName: selectedTemplate.serverName
+				};
+
+				const attachment = mcpResourceStore.addAttachment(resourceInfo);
+				mcpResourceStore.updateAttachmentContent(attachment.id, templatePreviewContent);
+
+				toast.success(`Resource attached: ${resourceInfo.name}`);
+			}
+
+			handleOpenChange(false);
+		} catch (error) {
+			console.error('Failed to attach template resource:', error);
+		} finally {
+			isAttaching = false;
+		}
+	}
+
+	function handleResourceSelect(resource: MCPResourceInfo, shiftKey: boolean = false) {
+		clearTemplateState();
+
+		if (shiftKey && lastSelectedUri) {
+			const allResources = getAllResourcesFlatInTreeOrder();
+			const lastIndex = allResources.findIndex((r) => r.uri === lastSelectedUri);
+			const currentIndex = allResources.findIndex((r) => r.uri === resource.uri);
+
+			if (lastIndex !== -1 && currentIndex !== -1) {
+				const start = Math.min(lastIndex, currentIndex);
+				const end = Math.max(lastIndex, currentIndex);
+
+				for (let i = start; i <= end; i++) {
+					selectedResources.add(allResources[i].uri);
+				}
+			}
+		} else {
+			selectedResources.clear();
+			selectedResources.add(resource.uri);
+			lastSelectedUri = resource.uri;
+		}
+	}
+
+	function handleResourceToggle(resource: MCPResourceInfo, checked: boolean) {
+		clearTemplateState();
+
+		if (checked) {
+			selectedResources.add(resource.uri);
+		} else {
+			selectedResources.delete(resource.uri);
+		}
+
+		lastSelectedUri = resource.uri;
+	}
+
+	function getAllResourcesFlatInTreeOrder(): MCPResourceInfo[] {
+		const allResources: MCPResourceInfo[] = [];
+		const resourcesMap = mcpResources();
+
+		for (const [serverName, serverRes] of resourcesMap.entries()) {
+			for (const resource of serverRes.resources) {
+				allResources.push({ ...resource, serverName });
+			}
+		}
+
+		return allResources.sort((a, b) => {
+			const aName = getResourceDisplayName(a);
+			const bName = getResourceDisplayName(b);
+			return aName.localeCompare(bName);
+		});
+	}
+
+	async function handleAttach() {
+		if (selectedResources.size === 0) return;
+
+		isAttaching = true;
+
+		try {
+			const allResources = getAllResourcesFlatInTreeOrder();
+			const resourcesToAttach = allResources.filter((r) => selectedResources.has(r.uri));
+
+			for (const resource of resourcesToAttach) {
+				await mcpStore.attachResource(resource.uri);
+				onAttach?.(resource);
+			}
+
+			const count = resourcesToAttach.length;
+
+			toast.success(
+				count === 1
+					? `Resource attached: ${resourcesToAttach[0].name}`
+					: `${count} resources attached`
+			);
+
+			handleOpenChange(false);
+		} catch (error) {
+			console.error('Failed to attach resources:', error);
+		} finally {
+			isAttaching = false;
+		}
+	}
+
+	const selectedTemplateUri = $derived(selectedTemplate?.uriTemplate ?? null);
+
+	const hasTemplateResult = $derived(
+		!!selectedTemplate && !!templatePreviewContent && !!templatePreviewUri
+	);
+</script>
+
+<Dialog.Root {open} onOpenChange={handleOpenChange}>
+	<Dialog.Content class="max-h-[80vh] !max-w-4xl overflow-hidden p-0">
+		<Dialog.Header class="border-b border-border/30 px-6 py-4">
+			<Dialog.Title class="flex items-center gap-2">
+				<FolderOpen class="h-5 w-5" />
+
+				<span>MCP Resources</span>
+
+				{#if totalCount > 0}
+					<span class="text-sm font-normal text-muted-foreground">({totalCount})</span>
+				{/if}
+			</Dialog.Title>
+
+			<Dialog.Description>
+				Browse and attach resources from connected MCP servers to your chat context.
+			</Dialog.Description>
+		</Dialog.Header>
+
+		<div class="flex h-[500px] min-w-0">
+			<div class="w-72 shrink-0 overflow-y-auto border-r border-border/30 p-4">
+				<McpResourceBrowser
+					onSelect={handleResourceSelect}
+					onToggle={handleResourceToggle}
+					onTemplateSelect={handleTemplateSelect}
+					selectedUris={selectedResources}
+					{selectedTemplateUri}
+					expandToUri={preSelectedUri}
+				/>
+			</div>
+
+			<div class="min-w-0 flex-1 overflow-auto p-4">
+				{#if selectedTemplate && !templatePreviewContent}
+					<div class="flex h-full flex-col">
+						<div class="mb-3 flex items-center gap-2">
+							<Braces class="h-4 w-4 text-muted-foreground" />
+
+							<span class="text-sm font-medium">
+								{selectedTemplate.title || selectedTemplate.name}
+							</span>
+						</div>
+
+						{#if selectedTemplate.description}
+							<p class="mb-4 text-xs text-muted-foreground">
+								{selectedTemplate.description}
+							</p>
+						{/if}
+
+						<div class="mb-4 rounded-md border border-border/50 bg-muted/30 px-3 py-2">
+							<p class="font-mono text-xs break-all text-muted-foreground">
+								{selectedTemplate.uriTemplate}
+							</p>
+						</div>
+
+						{#if templatePreviewLoading}
+							<div class="flex flex-1 items-center justify-center">
+								<Loader2 class="h-6 w-6 animate-spin text-muted-foreground" />
+							</div>
+						{:else if templatePreviewError}
+							<div class="flex flex-1 flex-col items-center justify-center gap-2 text-red-500">
+								<span class="text-sm">{templatePreviewError}</span>
+
+								<Button
+									size="sm"
+									variant="outline"
+									onclick={() => {
+										templatePreviewError = null;
+									}}
+								>
+									Try again
+								</Button>
+							</div>
+						{:else}
+							<McpResourceTemplateForm
+								template={selectedTemplate}
+								onResolve={handleTemplateResolve}
+								onCancel={handleTemplateCancelForm}
+							/>
+						{/if}
+					</div>
+				{:else if hasTemplateResult}
+					<!-- Template resolved: show preview -->
+					<McpResourcePreview
+						resource={{
+							uri: templatePreviewUri ?? '',
+							name: templatePreviewUri?.split('/').pop() || (templatePreviewUri ?? ''),
+							serverName: selectedTemplate?.serverName || ''
+						}}
+						preloadedContent={templatePreviewContent}
+					/>
+				{:else if selectedResources.size === 1}
+					{@const allResources = getAllResourcesFlatInTreeOrder()}
+					{@const selectedResource = allResources.find((r) => selectedResources.has(r.uri))}
+
+					<McpResourcePreview resource={selectedResource ?? null} />
+				{:else if selectedResources.size > 1}
+					<div class="flex flex-col gap-10">
+						{#each getAllResourcesFlatInTreeOrder() as resource (resource.uri)}
+							{#if selectedResources.has(resource.uri)}
+								<McpResourcePreview {resource} />
+							{/if}
+						{/each}
+					</div>
+				{:else}
+					<div class="flex h-full items-center justify-center text-sm text-muted-foreground">
+						Select a resource to preview
+					</div>
+				{/if}
+			</div>
+		</div>
+
+		<Dialog.Footer class="border-t border-border/30 px-6 py-4">
+			<Button variant="outline" onclick={() => handleOpenChange(false)}>Cancel</Button>
+
+			{#if hasTemplateResult}
+				<Button onclick={handleAttachTemplateResource} disabled={isAttaching}>
+					{#if isAttaching}
+						<Loader2 class="mr-2 h-4 w-4 animate-spin" />
+					{:else}
+						<Plus class="mr-2 h-4 w-4" />
+					{/if}
+
+					Attach Resource
+				</Button>
+			{:else}
+				<Button onclick={handleAttach} disabled={selectedResources.size === 0 || isAttaching}>
+					{#if isAttaching}
+						<Loader2 class="mr-2 h-4 w-4 animate-spin" />
+					{:else}
+						<Plus class="mr-2 h-4 w-4" />
+					{/if}
+
+					Attach {selectedResources.size > 0 ? `(${selectedResources.size})` : 'Resource'}
+				</Button>
+			{/if}
+		</Dialog.Footer>
+	</Dialog.Content>
+</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServersSettings.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServersSettings.svelte
new file mode 100644
index 00000000000..f0cd325d498
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServersSettings.svelte
@@ -0,0 +1,39 @@
+<script lang="ts">
+	import * as Dialog from '$lib/components/ui/dialog';
+	import { McpLogo, McpServersSettings } from '$lib/components/app';
+
+	interface Props {
+		onOpenChange?: (open: boolean) => void;
+		open?: boolean;
+	}
+
+	let { onOpenChange, open = $bindable(false) }: Props = $props();
+
+	function handleClose() {
+		onOpenChange?.(false);
+	}
+</script>
+
+<Dialog.Root {open} onOpenChange={handleClose}>
+	<Dialog.Content
+		class="z-999999 flex h-[100dvh] max-h-[100dvh] min-h-[100dvh] flex-col gap-0 rounded-none p-0
+			md:h-[80dvh] md:h-auto md:max-h-[80dvh] md:min-h-0 md:rounded-lg"
+		style="max-width: 56rem;"
+	>
+		<div class="grid gap-2 border-b border-border/30 p-4 md:p-6">
+			<Dialog.Title class="inline-flex items-center text-lg font-semibold">
+				<McpLogo class="mr-2 inline h-4 w-4" />
+
+				MCP Servers
+			</Dialog.Title>
+
+			<Dialog.Description class="text-sm text-muted-foreground">
+				Add and configure MCP servers to enable agentic tool execution capabilities.
+			</Dialog.Description>
+		</div>
+
+		<div class="flex-1 overflow-y-auto px-4 py-6">
+			<McpServersSettings />
+		</div>
+	</Dialog.Content>
+</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte
index dfea47cc90b..eac83f234dd 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte
@@ -1,7 +1,7 @@
 <script lang="ts">
 	import * as Dialog from '$lib/components/ui/dialog';
 	import * as Table from '$lib/components/ui/table';
-	import { BadgeModality, CopyToClipboardIcon } from '$lib/components/app';
+	import { BadgeModality, ActionIconCopyToClipboard } from '$lib/components/app';
 	import { serverStore } from '$lib/stores/server.svelte';
 	import { modelsStore, modelOptions, modelsLoading } from '$lib/stores/models.svelte';
 	import { formatFileSize, formatParameters, formatNumber } from '$lib/utils';
@@ -47,6 +47,7 @@
 
 		<Dialog.Header>
 			<Dialog.Title>Model Information</Dialog.Title>
+
 			<Dialog.Description>Current model details and capabilities</Dialog.Description>
 		</Dialog.Header>
 
@@ -73,7 +74,7 @@
 											{modelName}
 										</span>
 
-										<CopyToClipboardIcon
+										<ActionIconCopyToClipboard
 											text={modelName || ''}
 											canCopy={!!modelName}
 											ariaLabel="Copy model name to clipboard"
@@ -97,7 +98,7 @@
 										{serverProps.model_path}
 									</span>
 
-									<CopyToClipboardIcon
+									<ActionIconCopyToClipboard
 										text={serverProps.model_path}
 										ariaLabel="Copy model path to clipboard"
 									/>
@@ -105,17 +106,29 @@
 							</Table.Row>
 
 							<!-- Context Size -->
-							<Table.Row>
-								<Table.Cell class="h-10 align-middle font-medium">Context Size</Table.Cell>
-								<Table.Cell
-									>{formatNumber(serverProps.default_generation_settings.n_ctx)} tokens</Table.Cell
-								>
-							</Table.Row>
+							{#if serverProps?.default_generation_settings?.n_ctx}
+								<Table.Row>
+									<Table.Cell class="h-10 align-middle font-medium">Context Size</Table.Cell>
+
+									<Table.Cell
+										>{formatNumber(serverProps.default_generation_settings.n_ctx)} tokens</Table.Cell
+									>
+								</Table.Row>
+							{:else}
+								<Table.Row>
+									<Table.Cell class="h-10 align-middle font-medium text-red-500"
+										>Context Size</Table.Cell
+									>
+
+									<Table.Cell class="text-red-500">Not available</Table.Cell>
+								</Table.Row>
+							{/if}
 
 							<!-- Training Context -->
 							{#if modelMeta?.n_ctx_train}
 								<Table.Row>
 									<Table.Cell class="h-10 align-middle font-medium">Training Context</Table.Cell>
+
 									<Table.Cell>{formatNumber(modelMeta.n_ctx_train)} tokens</Table.Cell>
 								</Table.Row>
 							{/if}
@@ -124,6 +137,7 @@
 							{#if modelMeta?.size}
 								<Table.Row>
 									<Table.Cell class="h-10 align-middle font-medium">Model Size</Table.Cell>
+
 									<Table.Cell>{formatFileSize(modelMeta.size)}</Table.Cell>
 								</Table.Row>
 							{/if}
@@ -132,6 +146,7 @@
 							{#if modelMeta?.n_params}
 								<Table.Row>
 									<Table.Cell class="h-10 align-middle font-medium">Parameters</Table.Cell>
+
 									<Table.Cell>{formatParameters(modelMeta.n_params)}</Table.Cell>
 								</Table.Row>
 							{/if}
@@ -140,6 +155,7 @@
 							{#if modelMeta?.n_embd}
 								<Table.Row>
 									<Table.Cell class="align-middle font-medium">Embedding Size</Table.Cell>
+
 									<Table.Cell>{formatNumber(modelMeta.n_embd)}</Table.Cell>
 								</Table.Row>
 							{/if}
@@ -148,6 +164,7 @@
 							{#if modelMeta?.n_vocab}
 								<Table.Row>
 									<Table.Cell class="align-middle font-medium">Vocabulary Size</Table.Cell>
+
 									<Table.Cell>{formatNumber(modelMeta.n_vocab)} tokens</Table.Cell>
 								</Table.Row>
 							{/if}
@@ -163,6 +180,7 @@
 							<!-- Total Slots -->
 							<Table.Row>
 								<Table.Cell class="align-middle font-medium">Parallel Slots</Table.Cell>
+
 								<Table.Cell>{serverProps.total_slots}</Table.Cell>
 							</Table.Row>
 
@@ -170,6 +188,7 @@
 							{#if modalities.length > 0}
 								<Table.Row>
 									<Table.Cell class="align-middle font-medium">Modalities</Table.Cell>
+
 									<Table.Cell>
 										<div class="flex flex-wrap gap-1">
 											<BadgeModality {modalities} />
@@ -181,6 +200,7 @@
 							<!-- Build Info -->
 							<Table.Row>
 								<Table.Cell class="align-middle font-medium">Build Info</Table.Cell>
+
 								<Table.Cell class="align-middle font-mono text-xs"
 									>{serverProps.build_info}</Table.Cell
 								>
@@ -190,6 +210,7 @@
 							{#if serverProps.chat_template}
 								<Table.Row>
 									<Table.Cell class="align-middle font-medium">Chat Template</Table.Cell>
+
 									<Table.Cell class="py-10">
 										<div class="max-h-120 overflow-y-auto rounded-md bg-muted p-4">
 											<pre
diff --git a/tools/server/webui/src/lib/components/app/dialogs/index.ts b/tools/server/webui/src/lib/components/app/dialogs/index.ts
new file mode 100644
index 00000000000..216eae6843e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/index.ts
@@ -0,0 +1,470 @@
+/**
+ *
+ * DIALOGS
+ *
+ * Modal dialog components for the chat application.
+ *
+ * All dialogs use ShadCN Dialog or AlertDialog components for consistent
+ * styling, accessibility, and animation. They integrate with application
+ * stores for state management and data access.
+ *
+ */
+
+/**
+ *
+ * SETTINGS DIALOGS
+ *
+ * Dialogs for application and server configuration.
+ *
+ */
+
+/**
+ * **DialogChatSettings** - Settings dialog wrapper
+ *
+ * Modal dialog containing ChatSettings component with proper
+ * open/close state management and automatic form reset on open.
+ *
+ * **Architecture:**
+ * - Wraps ChatSettings component in ShadCN Dialog
+ * - Manages open/close state via bindable `open` prop
+ * - Resets form state when dialog opens to discard unsaved changes
+ *
+ * @example
+ * ```svelte
+ * <DialogChatSettings bind:open={showSettings} />
+ * ```
+ */
+export { default as DialogChatSettings } from './DialogChatSettings.svelte';
+
+/**
+ *
+ * CONFIRMATION DIALOGS
+ *
+ * Dialogs for user action confirmations. Use AlertDialog for blocking
+ * confirmations that require explicit user decision before proceeding.
+ *
+ */
+
+/**
+ * **DialogConfirmation** - Generic confirmation dialog
+ *
+ * Reusable confirmation dialog with customizable title, description,
+ * and action buttons. Supports destructive action styling and custom icons.
+ * Used for delete confirmations, irreversible actions, and important decisions.
+ *
+ * **Architecture:**
+ * - Uses ShadCN AlertDialog
+ * - Supports variant styling (default, destructive)
+ * - Customizable button labels and callbacks
+ *
+ * **Features:**
+ * - Customizable title and description text
+ * - Destructive variant with red styling for dangerous actions
+ * - Custom icon support in header
+ * - Cancel and confirm button callbacks
+ * - Keyboard accessible (Escape to cancel, Enter to confirm)
+ *
+ * @example
+ * ```svelte
+ * <DialogConfirmation
+ *   bind:open={showDelete}
+ *   title="Delete conversation?"
+ *   description="This action cannot be undone."
+ *   variant="destructive"
+ *   onConfirm={handleDelete}
+ *   onCancel={() => showDelete = false}
+ * />
+ * ```
+ */
+export { default as DialogConfirmation } from './DialogConfirmation.svelte';
+
+/**
+ * **DialogConversationTitleUpdate** - Conversation rename confirmation
+ *
+ * Confirmation dialog shown when editing the first user message in a conversation.
+ * Asks user whether to update the conversation title to match the new message content.
+ *
+ * **Architecture:**
+ * - Uses ShadCN AlertDialog
+ * - Shows current vs proposed title comparison
+ * - Triggered by ChatMessages when first message is edited
+ *
+ * **Features:**
+ * - Side-by-side display of current and new title
+ * - "Keep Current Title" and "Update Title" action buttons
+ * - Styled title previews in muted background boxes
+ *
+ * @example
+ * ```svelte
+ * <DialogConversationTitleUpdate
+ *   bind:open={showTitleUpdate}
+ *   currentTitle={conversation.name}
+ *   newTitle={truncatedMessageContent}
+ *   onConfirm={updateTitle}
+ *   onCancel={() => showTitleUpdate = false}
+ * />
+ * ```
+ */
+export { default as DialogConversationTitleUpdate } from './DialogConversationTitleUpdate.svelte';
+
+/**
+ *
+ * CONTENT PREVIEW DIALOGS
+ *
+ * Dialogs for previewing and displaying content in full-screen or modal views.
+ *
+ */
+
+/**
+ * **DialogCodePreview** - Full-screen code/HTML preview
+ *
+ * Full-screen dialog for previewing HTML or code in an isolated iframe.
+ * Used by MarkdownContent component for previewing rendered HTML blocks
+ * from code blocks in chat messages.
+ *
+ * **Architecture:**
+ * - Uses ShadCN Dialog with full viewport layout
+ * - Sandboxed iframe execution (allow-scripts only)
+ * - Clears content when closed for security
+ *
+ * **Features:**
+ * - Full viewport iframe preview
+ * - Sandboxed execution environment
+ * - Close button with mix-blend-difference for visibility over any content
+ * - Automatic content cleanup on close
+ * - Supports HTML preview with proper isolation
+ *
+ * @example
+ * ```svelte
+ * <DialogCodePreview
+ *   bind:open={showPreview}
+ *   code={htmlContent}
+ *   language="html"
+ * />
+ * ```
+ */
+export { default as DialogCodePreview } from './DialogCodePreview.svelte';
+
+/**
+ *
+ * ATTACHMENT DIALOGS
+ *
+ * Dialogs for viewing and managing file attachments. Support both
+ * uploaded files (pending) and stored attachments (in messages).
+ *
+ */
+
+/**
+ * **DialogChatAttachmentPreview** - Full-size attachment preview
+ *
+ * Modal dialog for viewing file attachments at full size. Supports different
+ * file types with appropriate preview modes: images, text files, PDFs, and audio.
+ *
+ * **Architecture:**
+ * - Wraps ChatAttachmentPreview component in ShadCN Dialog
+ * - Accepts either uploaded file or stored attachment as data source
+ * - Resets preview state when dialog opens
+ *
+ * **Features:**
+ * - Full-size image display with proper scaling
+ * - Text file content with syntax highlighting
+ * - PDF preview with text/image view toggle
+ * - Audio file placeholder with download option
+ * - File name and size display in header
+ * - Download button for all file types
+ * - Vision modality check for image attachments
+ *
+ * @example
+ * ```svelte
+ * <!-- Preview uploaded file -->
+ * <DialogChatAttachmentPreview
+ *   bind:open={showPreview}
+ *   uploadedFile={selectedFile}
+ *   activeModelId={currentModel}
+ * />
+ *
+ * <!-- Preview stored attachment -->
+ * <DialogChatAttachmentPreview
+ *   bind:open={showPreview}
+ *   attachment={selectedAttachment}
+ * />
+ * ```
+ */
+export { default as DialogChatAttachmentPreview } from './DialogChatAttachmentPreview.svelte';
+
+/**
+ * **DialogChatAttachmentsViewAll** - Grid view of all attachments
+ *
+ * Dialog showing all attachments in a responsive grid layout. Triggered by
+ * "+X more" button in ChatAttachmentsList when there are too many attachments
+ * to display inline.
+ *
+ * **Architecture:**
+ * - Wraps ChatAttachmentsViewAll component in ShadCN Dialog
+ * - Supports both readonly (message view) and editable (form) modes
+ * - Displays total attachment count in header
+ *
+ * **Features:**
+ * - Responsive grid layout for all attachments
+ * - Thumbnail previews with click-to-expand
+ * - Remove button in editable mode
+ * - Configurable thumbnail dimensions
+ * - Vision modality validation for images
+ *
+ * @example
+ * ```svelte
+ * <DialogChatAttachmentsViewAll
+ *   bind:open={showAllAttachments}
+ *   attachments={message.extra}
+ *   readonly
+ * />
+ * ```
+ */
+export { default as DialogChatAttachmentsViewAll } from './DialogChatAttachmentsViewAll.svelte';
+
+/**
+ *
+ * ERROR & ALERT DIALOGS
+ *
+ * Dialogs for displaying errors, warnings, and alerts to users.
+ * Provide context about what went wrong and recovery options.
+ *
+ */
+
+/**
+ * **DialogChatError** - Chat/generation error display
+ *
+ * Alert dialog for displaying chat and generation errors with context
+ * information. Supports different error types with appropriate styling
+ * and messaging.
+ *
+ * **Architecture:**
+ * - Uses ShadCN AlertDialog for modal display
+ * - Differentiates between timeout and server errors
+ * - Shows context info when available (token counts)
+ *
+ * **Error Types:**
+ * - **timeout**: TCP timeout with timer icon, red destructive styling
+ * - **server**: Server error with warning icon, amber warning styling
+ *
+ * **Features:**
+ * - Type-specific icons (TimerOff for timeout, AlertTriangle for server)
+ * - Error message display in styled badge
+ * - Context info showing prompt tokens and context size
+ * - Close button to dismiss
+ *
+ * @example
+ * ```svelte
+ * <DialogChatError
+ *   bind:open={showError}
+ *   type="server"
+ *   message={errorMessage}
+ *   contextInfo={{ n_prompt_tokens: 1024, n_ctx: 4096 }}
+ * />
+ * ```
+ */
+export { default as DialogChatError } from './DialogChatError.svelte';
+
+/**
+ * **DialogEmptyFileAlert** - Empty file upload warning
+ *
+ * Alert dialog shown when user attempts to upload empty files. Lists the
+ * empty files that were detected and removed from attachments, with
+ * explanation of why empty files cannot be processed.
+ *
+ * **Architecture:**
+ * - Uses ShadCN AlertDialog for modal display
+ * - Receives list of empty file names from ChatScreen
+ * - Triggered during file upload validation
+ *
+ * **Features:**
+ * - FileX icon indicating file error
+ * - List of empty file names in monospace font
+ * - Explanation of what happened and why
+ * - Single "Got it" dismiss button
+ *
+ * @example
+ * ```svelte
+ * <DialogEmptyFileAlert
+ *   bind:open={showEmptyAlert}
+ *   emptyFiles={['empty.txt', 'blank.md']}
+ * />
+ * ```
+ */
+export { default as DialogEmptyFileAlert } from './DialogEmptyFileAlert.svelte';
+
+/**
+ * **DialogModelNotAvailable** - Model unavailable error
+ *
+ * Alert dialog shown when the requested model (from URL params or selection)
+ * is not available on the server. Displays the requested model name and
+ * offers selection from available models.
+ *
+ * **Architecture:**
+ * - Uses ShadCN AlertDialog for modal display
+ * - Integrates with SvelteKit navigation for model switching
+ * - Receives available models list from modelsStore
+ *
+ * **Features:**
+ * - Warning icon with amber styling
+ * - Requested model name display in styled badge
+ * - Scrollable list of available models
+ * - Click model to navigate with updated URL params
+ * - Cancel button to dismiss without selection
+ *
+ * @example
+ * ```svelte
+ * <DialogModelNotAvailable
+ *   bind:open={showModelError}
+ *   modelName={requestedModel}
+ *   availableModels={modelsList}
+ * />
+ * ```
+ */
+export { default as DialogModelNotAvailable } from './DialogModelNotAvailable.svelte';
+
+/**
+ *
+ * DATA MANAGEMENT DIALOGS
+ *
+ * Dialogs for managing conversation data, including import/export
+ * and selection operations.
+ *
+ */
+
+/**
+ * **DialogConversationSelection** - Conversation picker for import/export
+ *
+ * Dialog for selecting conversations during import or export operations.
+ * Displays list of conversations with checkboxes for multi-selection.
+ * Used by ChatSettingsImportExportTab for data management.
+ *
+ * **Architecture:**
+ * - Wraps ConversationSelection component in ShadCN Dialog
+ * - Supports export mode (select from local) and import mode (select from file)
+ * - Resets selection state when dialog opens
+ * - High z-index to appear above settings dialog
+ *
+ * **Features:**
+ * - Multi-select with checkboxes
+ * - Conversation title and message count display
+ * - Select all / deselect all controls
+ * - Mode-specific descriptions (export vs import)
+ * - Cancel and confirm callbacks with selected conversations
+ *
+ * @example
+ * ```svelte
+ * <DialogConversationSelection
+ *   bind:open={showExportSelection}
+ *   conversations={allConversations}
+ *   messageCountMap={messageCounts}
+ *   mode="export"
+ *   onConfirm={handleExport}
+ *   onCancel={() => showExportSelection = false}
+ * />
+ * ```
+ */
+export { default as DialogConversationSelection } from './DialogConversationSelection.svelte';
+
+/**
+ *
+ * MODEL INFORMATION DIALOGS
+ *
+ * Dialogs for displaying model and server information.
+ *
+ */
+
+/**
+ * **DialogModelInformation** - Model details display
+ *
+ * Dialog showing comprehensive information about the currently loaded model
+ * and server configuration. Displays model metadata, capabilities, and
+ * server settings in a structured table format.
+ *
+ * **Architecture:**
+ * - Uses ShadCN Dialog with wide layout for table display
+ * - Fetches data from serverStore (props) and modelsStore (metadata)
+ * - Auto-fetches models when dialog opens if not loaded
+ *
+ * **Information Displayed:**
+ * - **Model**: Name with copy button
+ * - **File Path**: Full path to model file with copy button
+ * - **Context Size**: Current context window size
+ * - **Training Context**: Original training context (if available)
+ * - **Model Size**: File size in human-readable format
+ * - **Parameters**: Parameter count (e.g., "7B", "70B")
+ * - **Embedding Size**: Embedding dimension
+ * - **Vocabulary Size**: Token vocabulary size
+ * - **Vocabulary Type**: Tokenizer type (BPE, etc.)
+ * - **Parallel Slots**: Number of concurrent request slots
+ * - **Modalities**: Supported input types (text, vision, audio)
+ * - **Build Info**: Server build information
+ * - **Chat Template**: Full Jinja template in scrollable code block
+ *
+ * **Features:**
+ * - Copy buttons for model name and path
+ * - Modality badges with icons
+ * - Responsive table layout with container queries
+ * - Loading state while fetching model info
+ * - Scrollable chat template display
+ *
+ * @example
+ * ```svelte
+ * <DialogModelInformation bind:open={showModelInfo} />
+ * ```
+ */
+export { default as DialogModelInformation } from './DialogModelInformation.svelte';
+
+/**
+ * **DialogMcpResources** - MCP resources browser dialog
+ *
+ * Dialog for browsing and attaching MCP resources to chat context.
+ * Displays resources from connected MCP servers in a tree structure
+ * with preview panel and multi-select support.
+ *
+ * **Architecture:**
+ * - Uses ShadCN Dialog with two-panel layout
+ * - Left panel: McpResourceBrowser with tree navigation
+ * - Right panel: McpResourcePreview for selected resource
+ * - Integrates with mcpStore for resource fetching and attachment
+ *
+ * **Features:**
+ * - Tree-based resource navigation by server and path
+ * - Single and multi-select with shift+click
+ * - Resource preview with content display
+ * - Quick attach button per resource
+ * - Batch attach for multiple selections
+ *
+ * @example
+ * ```svelte
+ * <DialogMcpResources
+ *   bind:open={showResources}
+ *   onAttach={handleResourceAttach}
+ * />
+ * ```
+ */
+export { default as DialogMcpResources } from './DialogMcpResources.svelte';
+
+/**
+ * **DialogMcpResourcePreview** - MCP resource content preview
+ *
+ * Dialog for previewing the content of a stored MCP resource attachment.
+ * Displays the resource content with syntax highlighting for code,
+ * image rendering for images, and plain text for other content.
+ *
+ * **Features:**
+ * - Syntax highlighted code preview
+ * - Image rendering for image resources
+ * - Copy to clipboard and download actions
+ * - Server name and favicon display
+ * - MIME type badge
+ *
+ * @example
+ * ```svelte
+ * <DialogMcpResourcePreview
+ *   bind:open={previewOpen}
+ *   extra={mcpResourceExtra}
+ * />
+ * ```
+ */
+export { default as DialogMcpResourcePreview } from './DialogMcpResourcePreview.svelte';
diff --git a/tools/server/webui/src/lib/components/app/forms/InputWithSuggestions.svelte b/tools/server/webui/src/lib/components/app/forms/InputWithSuggestions.svelte
new file mode 100644
index 00000000000..5d047c59a96
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/forms/InputWithSuggestions.svelte
@@ -0,0 +1,78 @@
+<script lang="ts">
+	import { fly } from 'svelte/transition';
+	import { Input } from '$lib/components/ui/input';
+	import { Label } from '$lib/components/ui/label';
+
+	interface Props {
+		name: string;
+		value: string;
+		suggestions?: string[];
+		isLoadingSuggestions?: boolean;
+		isAutocompleteActive?: boolean;
+		autocompleteIndex?: number;
+		onInput: (value: string) => void;
+		onKeydown: (event: KeyboardEvent) => void;
+		onBlur: () => void;
+		onFocus: () => void;
+		onSelectSuggestion: (value: string) => void;
+	}
+
+	let {
+		name,
+		value = '',
+		suggestions = [],
+		isLoadingSuggestions = false,
+		isAutocompleteActive = false,
+		autocompleteIndex = 0,
+		onInput,
+		onKeydown,
+		onBlur,
+		onFocus,
+		onSelectSuggestion
+	}: Props = $props();
+</script>
+
+<div class="relative grid gap-1">
+	<Label for="tpl-arg-{name}" class="mb-1 text-muted-foreground">
+		<span>
+			{name}
+
+			<span class="text-destructive">*</span>
+		</span>
+
+		{#if isLoadingSuggestions}
+			<span class="text-xs text-muted-foreground/50">...</span>
+		{/if}
+	</Label>
+
+	<Input
+		id="tpl-arg-{name}"
+		type="text"
+		{value}
+		oninput={(e) => onInput(e.currentTarget.value)}
+		onkeydown={onKeydown}
+		onblur={onBlur}
+		onfocus={onFocus}
+		placeholder="Enter {name}"
+		autocomplete="off"
+	/>
+
+	{#if isAutocompleteActive && suggestions.length > 0}
+		<div
+			class="absolute top-full right-0 left-0 z-10 mt-1 max-h-32 overflow-y-auto rounded-lg border border-border/50 bg-background shadow-lg"
+			transition:fly={{ y: -5, duration: 100 }}
+		>
+			{#each suggestions as suggestion, i (suggestion)}
+				<button
+					type="button"
+					onmousedown={() => onSelectSuggestion(suggestion)}
+					class="w-full px-3 py-1.5 text-left text-sm hover:bg-accent {i === autocompleteIndex
+						? 'bg-accent'
+						: ''}"
+				>
+					{suggestion}
+				</button>
+			{/each}
+		</div>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/forms/KeyValuePairs.svelte b/tools/server/webui/src/lib/components/app/forms/KeyValuePairs.svelte
new file mode 100644
index 00000000000..e0bd8d98e8e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/forms/KeyValuePairs.svelte
@@ -0,0 +1,143 @@
+<script lang="ts">
+	import { Plus, Trash2 } from '@lucide/svelte';
+	import { Input } from '$lib/components/ui/input';
+	import {
+		autoResizeTextarea,
+		sanitizeKeyValuePairKey,
+		sanitizeKeyValuePairValue
+	} from '$lib/utils';
+	import { KEY_VALUE_PAIR_KEY_MAX_LENGTH, KEY_VALUE_PAIR_VALUE_MAX_LENGTH } from '$lib/constants';
+	import type { KeyValuePair } from '$lib/types';
+
+	interface Props {
+		class?: string;
+		pairs: KeyValuePair[];
+		onPairsChange: (pairs: KeyValuePair[]) => void;
+		keyPlaceholder?: string;
+		valuePlaceholder?: string;
+		addButtonLabel?: string;
+		emptyMessage?: string;
+		sectionLabel?: string;
+		sectionLabelOptional?: boolean;
+	}
+
+	let {
+		class: className = '',
+		pairs,
+		onPairsChange,
+		keyPlaceholder = 'Key',
+		valuePlaceholder = 'Value',
+		addButtonLabel = 'Add',
+		emptyMessage = 'No items configured.',
+		sectionLabel,
+		sectionLabelOptional = true
+	}: Props = $props();
+
+	function addPair() {
+		onPairsChange([...pairs, { key: '', value: '' }]);
+	}
+
+	function removePair(index: number) {
+		onPairsChange(pairs.filter((_, i) => i !== index));
+	}
+
+	function updatePairKey(index: number, rawKey: string) {
+		const key = sanitizeKeyValuePairKey(rawKey);
+		const newPairs = [...pairs];
+
+		newPairs[index] = { ...newPairs[index], key };
+		onPairsChange(newPairs);
+	}
+
+	function trimPairKey(index: number, key: string) {
+		const trimmed = key.trim();
+		if (trimmed === key) return;
+
+		const newPairs = [...pairs];
+
+		newPairs[index] = { ...newPairs[index], key: trimmed };
+		onPairsChange(newPairs);
+	}
+
+	function updatePairValue(index: number, rawValue: string) {
+		const value = sanitizeKeyValuePairValue(rawValue);
+		const newPairs = [...pairs];
+
+		newPairs[index] = { ...newPairs[index], value };
+		onPairsChange(newPairs);
+	}
+
+	function trimPairValue(index: number, value: string) {
+		const trimmed = value.trim();
+		if (trimmed === value) return;
+
+		const newPairs = [...pairs];
+
+		newPairs[index] = { ...newPairs[index], value: trimmed };
+		onPairsChange(newPairs);
+	}
+</script>
+
+<div class={className}>
+	<div class="mb-2 flex items-center justify-between">
+		{#if sectionLabel}
+			<span class="text-xs font-medium">
+				{sectionLabel}
+				{#if sectionLabelOptional}
+					<span class="text-muted-foreground">(optional)</span>
+				{/if}
+			</span>
+		{/if}
+
+		<button
+			type="button"
+			class="inline-flex cursor-pointer items-center gap-1 rounded-md px-1.5 py-1 text-xs text-muted-foreground hover:bg-muted hover:text-foreground"
+			onclick={addPair}
+		>
+			<Plus class="h-3 w-3" />
+			{addButtonLabel}
+		</button>
+	</div>
+	{#if pairs.length > 0}
+		<div class="space-y-3">
+			{#each pairs as pair, index (index)}
+				<div class="flex items-start gap-2">
+					<Input
+						type="text"
+						placeholder={keyPlaceholder}
+						value={pair.key}
+						maxlength={KEY_VALUE_PAIR_KEY_MAX_LENGTH}
+						oninput={(e) => updatePairKey(index, e.currentTarget.value)}
+						onblur={(e) => trimPairKey(index, e.currentTarget.value)}
+						class="flex-1"
+					/>
+
+					<textarea
+						use:autoResizeTextarea
+						placeholder={valuePlaceholder}
+						value={pair.value}
+						maxlength={KEY_VALUE_PAIR_VALUE_MAX_LENGTH}
+						oninput={(e) => {
+							updatePairValue(index, e.currentTarget.value);
+							autoResizeTextarea(e.currentTarget);
+						}}
+						onblur={(e) => trimPairValue(index, e.currentTarget.value)}
+						class="flex-1 resize-none rounded-md border border-input bg-transparent px-3 py-2 text-sm leading-5 placeholder:text-muted-foreground focus-visible:ring-1 focus-visible:ring-ring focus-visible:outline-none"
+						rows="1"
+					></textarea>
+
+					<button
+						type="button"
+						class="mt-1.5 shrink-0 cursor-pointer rounded-md p-1 text-muted-foreground hover:bg-destructive/10 hover:text-destructive"
+						onclick={() => removePair(index)}
+						aria-label="Remove item"
+					>
+						<Trash2 class="h-3.5 w-3.5" />
+					</button>
+				</div>
+			{/each}
+		</div>
+	{:else}
+		<p class="text-xs text-muted-foreground">{emptyMessage}</p>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/misc/SearchInput.svelte b/tools/server/webui/src/lib/components/app/forms/SearchInput.svelte
similarity index 93%
rename from tools/server/webui/src/lib/components/app/misc/SearchInput.svelte
rename to tools/server/webui/src/lib/components/app/forms/SearchInput.svelte
index 15cd6abaa9a..9a8088d9dae 100644
--- a/tools/server/webui/src/lib/components/app/misc/SearchInput.svelte
+++ b/tools/server/webui/src/lib/components/app/forms/SearchInput.svelte
@@ -46,7 +46,7 @@
 
 <div class="relative {className}">
 	<Search
-		class="absolute top-1/2 left-3 h-4 w-4 -translate-y-1/2 transform text-muted-foreground"
+		class="absolute top-1/2 left-3 z-10 h-4 w-4 -translate-y-1/2 transform text-muted-foreground"
 	/>
 
 	<Input
diff --git a/tools/server/webui/src/lib/components/app/forms/index.ts b/tools/server/webui/src/lib/components/app/forms/index.ts
new file mode 100644
index 00000000000..4cf56cdc9d0
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/forms/index.ts
@@ -0,0 +1,44 @@
+/**
+ *
+ * FORMS & INPUTS
+ *
+ * Form-related utility components.
+ *
+ */
+
+/**
+ * **InputWithSuggestions** - Input field with autocomplete suggestions
+ *
+ * Text input with dropdown suggestions and keyboard navigation.
+ * Supports autocomplete functionality with suggestion loading.
+ *
+ * **Features:**
+ * - Autocomplete dropdown with suggestions
+ * - Keyboard navigation (arrow keys, enter)
+ * - Loading state for suggestions
+ * - Focus and blur handling
+ */
+export { default as InputWithSuggestions } from './InputWithSuggestions.svelte';
+
+/**
+ * **KeyValuePairs** - Editable key-value list
+ *
+ * Dynamic list of key-value pairs with add/remove functionality.
+ * Used for HTTP headers, metadata, and configuration.
+ *
+ * **Features:**
+ * - Add new pairs with button
+ * - Remove individual pairs
+ * - Customizable placeholders and labels
+ * - Empty state message
+ * - Auto-resize value textarea
+ */
+export { default as KeyValuePairs } from './KeyValuePairs.svelte';
+
+/**
+ * **SearchInput** - Search field with clear button
+ *
+ * Input field optimized for search with clear button and keyboard handling.
+ * Supports placeholder, autofocus, and change callbacks.
+ */
+export { default as SearchInput } from './SearchInput.svelte';
diff --git a/tools/server/webui/src/lib/components/app/index.ts b/tools/server/webui/src/lib/components/app/index.ts
index 8631d4fb3bd..56bd8a48520 100644
--- a/tools/server/webui/src/lib/components/app/index.ts
+++ b/tools/server/webui/src/lib/components/app/index.ts
@@ -1,75 +1,11 @@
-// Chat
-
-export { default as ChatAttachmentPreview } from './chat/ChatAttachments/ChatAttachmentPreview.svelte';
-export { default as ChatAttachmentThumbnailFile } from './chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte';
-export { default as ChatAttachmentThumbnailImage } from './chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte';
-export { default as ChatAttachmentsList } from './chat/ChatAttachments/ChatAttachmentsList.svelte';
-export { default as ChatAttachmentsViewAll } from './chat/ChatAttachments/ChatAttachmentsViewAll.svelte';
-
-export { default as ChatForm } from './chat/ChatForm/ChatForm.svelte';
-export { default as ChatFormActionFileAttachments } from './chat/ChatForm/ChatFormActions/ChatFormActionFileAttachments.svelte';
-export { default as ChatFormActionRecord } from './chat/ChatForm/ChatFormActions/ChatFormActionRecord.svelte';
-export { default as ChatFormActions } from './chat/ChatForm/ChatFormActions/ChatFormActions.svelte';
-export { default as ChatFormActionSubmit } from './chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte';
-export { default as ChatFormFileInputInvisible } from './chat/ChatForm/ChatFormFileInputInvisible.svelte';
-export { default as ChatFormHelperText } from './chat/ChatForm/ChatFormHelperText.svelte';
-export { default as ChatFormTextarea } from './chat/ChatForm/ChatFormTextarea.svelte';
-
-export { default as ChatMessage } from './chat/ChatMessages/ChatMessage.svelte';
-export { default as ChatMessageActions } from './chat/ChatMessages/ChatMessageActions.svelte';
-export { default as ChatMessageBranchingControls } from './chat/ChatMessages/ChatMessageBranchingControls.svelte';
-export { default as ChatMessageStatistics } from './chat/ChatMessages/ChatMessageStatistics.svelte';
-export { default as ChatMessageSystem } from './chat/ChatMessages/ChatMessageSystem.svelte';
-export { default as ChatMessageThinkingBlock } from './chat/ChatMessages/ChatMessageThinkingBlock.svelte';
-export { default as ChatMessages } from './chat/ChatMessages/ChatMessages.svelte';
-export { default as MessageBranchingControls } from './chat/ChatMessages/ChatMessageBranchingControls.svelte';
-
-export { default as ChatScreen } from './chat/ChatScreen/ChatScreen.svelte';
-export { default as ChatScreenHeader } from './chat/ChatScreen/ChatScreenHeader.svelte';
-export { default as ChatScreenProcessingInfo } from './chat/ChatScreen/ChatScreenProcessingInfo.svelte';
-
-export { default as ChatSettings } from './chat/ChatSettings/ChatSettings.svelte';
-export { default as ChatSettingsFooter } from './chat/ChatSettings/ChatSettingsFooter.svelte';
-export { default as ChatSettingsFields } from './chat/ChatSettings/ChatSettingsFields.svelte';
-export { default as ChatSettingsImportExportTab } from './chat/ChatSettings/ChatSettingsImportExportTab.svelte';
-export { default as ChatSettingsParameterSourceIndicator } from './chat/ChatSettings/ChatSettingsParameterSourceIndicator.svelte';
-
-export { default as ChatSidebar } from './chat/ChatSidebar/ChatSidebar.svelte';
-export { default as ChatSidebarConversationItem } from './chat/ChatSidebar/ChatSidebarConversationItem.svelte';
-export { default as ChatSidebarSearch } from './chat/ChatSidebar/ChatSidebarSearch.svelte';
-
-// Dialogs
-
-export { default as DialogChatAttachmentPreview } from './dialogs/DialogChatAttachmentPreview.svelte';
-export { default as DialogChatAttachmentsViewAll } from './dialogs/DialogChatAttachmentsViewAll.svelte';
-export { default as DialogChatError } from './dialogs/DialogChatError.svelte';
-export { default as DialogChatSettings } from './dialogs/DialogChatSettings.svelte';
-export { default as DialogConfirmation } from './dialogs/DialogConfirmation.svelte';
-export { default as DialogConversationSelection } from './dialogs/DialogConversationSelection.svelte';
-export { default as DialogConversationTitleUpdate } from './dialogs/DialogConversationTitleUpdate.svelte';
-export { default as DialogEmptyFileAlert } from './dialogs/DialogEmptyFileAlert.svelte';
-export { default as DialogModelInformation } from './dialogs/DialogModelInformation.svelte';
-export { default as DialogModelNotAvailable } from './dialogs/DialogModelNotAvailable.svelte';
-
-// Miscellanous
-
-export { default as ActionButton } from './misc/ActionButton.svelte';
-export { default as ActionDropdown } from './misc/ActionDropdown.svelte';
-export { default as BadgeChatStatistic } from './misc/BadgeChatStatistic.svelte';
-export { default as BadgeInfo } from './misc/BadgeInfo.svelte';
-export { default as ModelBadge } from './models/ModelBadge.svelte';
-export { default as BadgeModality } from './misc/BadgeModality.svelte';
-export { default as ConversationSelection } from './misc/ConversationSelection.svelte';
-export { default as CopyToClipboardIcon } from './misc/CopyToClipboardIcon.svelte';
-export { default as KeyboardShortcutInfo } from './misc/KeyboardShortcutInfo.svelte';
-export { default as MarkdownContent } from './misc/MarkdownContent.svelte';
-export { default as RemoveButton } from './misc/RemoveButton.svelte';
-export { default as SearchInput } from './misc/SearchInput.svelte';
-export { default as SyntaxHighlightedCode } from './misc/SyntaxHighlightedCode.svelte';
-export { default as ModelsSelector } from './models/ModelsSelector.svelte';
-
-// Server
-
-export { default as ServerStatus } from './server/ServerStatus.svelte';
-export { default as ServerErrorSplash } from './server/ServerErrorSplash.svelte';
-export { default as ServerLoadingSplash } from './server/ServerLoadingSplash.svelte';
+export * from './actions';
+export * from './badges';
+export * from './chat';
+export * from './content';
+export * from './dialogs';
+export * from './forms';
+export * from './mcp';
+export * from './misc';
+export * from './models';
+export * from './navigation';
+export * from './server';
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte b/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte
new file mode 100644
index 00000000000..75858493e20
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte
@@ -0,0 +1,57 @@
+<script lang="ts">
+	import { cn } from '$lib/components/ui/utils';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { HealthCheckStatus } from '$lib/enums';
+	import { MAX_DISPLAYED_MCP_AVATARS } from '$lib/constants';
+
+	interface Props {
+		class?: string;
+	}
+
+	let { class: className = '' }: Props = $props();
+
+	let mcpServers = $derived(mcpStore.getServersSorted().filter((s) => s.enabled));
+	let enabledMcpServersForChat = $derived(
+		mcpServers.filter((s) => conversationsStore.isMcpServerEnabledForChat(s.id) && s.url.trim())
+	);
+	let healthyEnabledMcpServers = $derived(
+		enabledMcpServersForChat.filter((s) => {
+			const healthState = mcpStore.getHealthCheckState(s.id);
+			return healthState.status !== HealthCheckStatus.ERROR;
+		})
+	);
+	let hasEnabledMcpServers = $derived(enabledMcpServersForChat.length > 0);
+	let extraServersCount = $derived(
+		Math.max(0, healthyEnabledMcpServers.length - MAX_DISPLAYED_MCP_AVATARS)
+	);
+	let mcpFavicons = $derived(
+		healthyEnabledMcpServers
+			.slice(0, MAX_DISPLAYED_MCP_AVATARS)
+			.map((s) => ({ id: s.id, url: mcpStore.getServerFavicon(s.id) }))
+			.filter((f) => f.url !== null)
+	);
+</script>
+
+{#if hasEnabledMcpServers && mcpFavicons.length > 0}
+	<div class={cn('inline-flex items-center gap-1.5', className)}>
+		<div class="flex -space-x-1">
+			{#each mcpFavicons as favicon (favicon.id)}
+				<div class="box-shadow-lg overflow-hidden rounded-full bg-muted ring-1 ring-muted">
+					<img
+						src={favicon.url}
+						alt=""
+						class="h-4 w-4"
+						onerror={(e) => {
+							(e.currentTarget as HTMLImageElement).style.display = 'none';
+						}}
+					/>
+				</div>
+			{/each}
+		</div>
+
+		{#if extraServersCount > 0}
+			<span class="text-xs text-muted-foreground">+{extraServersCount}</span>
+		{/if}
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpCapabilitiesBadges.svelte b/tools/server/webui/src/lib/components/app/mcp/McpCapabilitiesBadges.svelte
new file mode 100644
index 00000000000..d17b24ebb04
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpCapabilitiesBadges.svelte
@@ -0,0 +1,61 @@
+<script lang="ts">
+	import { Wrench, Database, MessageSquare, FileText, Sparkles, ListChecks } from '@lucide/svelte';
+	import type { MCPCapabilitiesInfo } from '$lib/types';
+	import { Badge } from '$lib/components/ui/badge';
+
+	interface Props {
+		capabilities?: MCPCapabilitiesInfo;
+	}
+
+	let { capabilities }: Props = $props();
+</script>
+
+{#if capabilities}
+	{#if capabilities.server.tools}
+		<Badge variant="outline" class="h-5 gap-1 bg-green-50 px-1.5 text-[10px] dark:bg-green-950">
+			<Wrench class="h-3 w-3 text-green-600 dark:text-green-400" />
+
+			Tools
+		</Badge>
+	{/if}
+
+	{#if capabilities.server.resources}
+		<Badge variant="outline" class="h-5 gap-1 bg-blue-50 px-1.5 text-[10px] dark:bg-blue-950">
+			<Database class="h-3 w-3 text-blue-600 dark:text-blue-400" />
+
+			Resources
+		</Badge>
+	{/if}
+
+	{#if capabilities.server.prompts}
+		<Badge variant="outline" class="h-5 gap-1 bg-purple-50 px-1.5 text-[10px] dark:bg-purple-950">
+			<MessageSquare class="h-3 w-3 text-purple-600 dark:text-purple-400" />
+
+			Prompts
+		</Badge>
+	{/if}
+
+	{#if capabilities.server.logging}
+		<Badge variant="outline" class="h-5 gap-1 bg-orange-50 px-1.5 text-[10px] dark:bg-orange-950">
+			<FileText class="h-3 w-3 text-orange-600 dark:text-orange-400" />
+
+			Logging
+		</Badge>
+	{/if}
+
+	{#if capabilities.server.completions}
+		<Badge variant="outline" class="h-5 gap-1 bg-cyan-50 px-1.5 text-[10px] dark:bg-cyan-950">
+			<Sparkles class="h-3 w-3 text-cyan-600 dark:text-cyan-400" />
+
+			Completions
+		</Badge>
+	{/if}
+
+	{#if capabilities.server.tasks}
+		<Badge variant="outline" class="h-5 gap-1 bg-pink-50 px-1.5 text-[10px] dark:bg-pink-950">
+			<ListChecks class="h-3 w-3 text-pink-600 dark:text-pink-400" />
+
+			Tasks
+		</Badge>
+	{/if}
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte b/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
new file mode 100644
index 00000000000..6e24ce6422a
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
@@ -0,0 +1,60 @@
+<script lang="ts">
+	import { ChevronDown, ChevronRight } from '@lucide/svelte';
+	import * as Collapsible from '$lib/components/ui/collapsible';
+	import { cn } from '$lib/components/ui/utils';
+	import type { MCPConnectionLog } from '$lib/types';
+	import { formatTime, getMcpLogLevelIcon, getMcpLogLevelClass } from '$lib/utils';
+
+	interface Props {
+		logs: MCPConnectionLog[];
+		connectionTimeMs?: number;
+		defaultExpanded?: boolean;
+		class?: string;
+	}
+
+	let { logs, connectionTimeMs, defaultExpanded = false, class: className }: Props = $props();
+
+	let isExpanded = $derived(defaultExpanded);
+</script>
+
+{#if logs.length > 0}
+	<Collapsible.Root bind:open={isExpanded} class={className}>
+		<div class="space-y-2">
+			<Collapsible.Trigger
+				class="flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground"
+			>
+				{#if isExpanded}
+					<ChevronDown class="h-3.5 w-3.5" />
+				{:else}
+					<ChevronRight class="h-3.5 w-3.5" />
+				{/if}
+
+				<span>Connection Log ({logs.length})</span>
+
+				{#if connectionTimeMs !== undefined}
+					<span class="ml-1">· Connected in {connectionTimeMs}ms</span>
+				{/if}
+			</Collapsible.Trigger>
+		</div>
+
+		<Collapsible.Content class="mt-2">
+			<div
+				class="max-h-64 space-y-0.5 overflow-y-auto rounded bg-muted/50 p-2 font-mono text-[10px]"
+			>
+				{#each logs as log (log.timestamp.getTime() + log.message)}
+					{@const Icon = getMcpLogLevelIcon(log.level)}
+
+					<div class={cn('flex items-start gap-1.5', getMcpLogLevelClass(log.level))}>
+						<span class="shrink-0 text-muted-foreground">
+							{formatTime(log.timestamp)}
+						</span>
+
+						<Icon class="mt-0.5 h-3 w-3 shrink-0" />
+
+						<span class="break-all">{log.message}</span>
+					</div>
+				{/each}
+			</div>
+		</Collapsible.Content>
+	</Collapsible.Root>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpLogo.svelte b/tools/server/webui/src/lib/components/app/mcp/McpLogo.svelte
new file mode 100644
index 00000000000..9f73db84d61
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpLogo.svelte
@@ -0,0 +1,111 @@
+<script>
+	let { class: className = '', style = '' } = $props();
+</script>
+
+<svg
+	class={className}
+	{style}
+	xmlns="http://www.w3.org/2000/svg"
+	viewBox="0 0 174 174"
+	xmlns:xlink="http://www.w3.org/1999/xlink"
+	fill="none"
+	version="1.1"
+	><g id="shape-320b5b95-d08d-8089-8007-585a8e498184"
+		><defs
+			><clipPath
+				id="frame-clip-320b5b95-d08d-8089-8007-585a8e498184-render-1"
+				class="frame-clip frame-clip-def"
+				><rect
+					rx="0"
+					ry="0"
+					x="0"
+					y="0"
+					width="174.00000000000045"
+					height="174"
+					transform="matrix(1.000000, 0.000000, 0.000000, 1.000000, 0.000000, 0.000000)"
+				/></clipPath
+			></defs
+		><g class="frame-container-wrapper"
+			><g class="frame-container-blur"
+				><g class="frame-container-shadows"
+					><g clip-path="url(#frame-clip-320b5b95-d08d-8089-8007-585a8e498184-render-1)" fill="none"
+						><g class="fills" id="fills-320b5b95-d08d-8089-8007-585a8e498184"
+							><rect
+								rx="0"
+								ry="0"
+								x="0"
+								y="0"
+								width="174.00000000000045"
+								height="174"
+								transform="matrix(1.000000, 0.000000, 0.000000, 1.000000, 0.000000, 0.000000)"
+								class="frame-background"
+							/></g
+						><g class="frame-children"
+							><g id="shape-320b5b95-d08d-8089-8007-585a974337b1"
+								><g class="fills" id="fills-320b5b95-d08d-8089-8007-585a974337b1"
+									><path
+										d="M15.5587158203125,81.5927734375L83.44091796875,13.7105712890625C92.813720703125,4.3380126953125,108.0096435546875,4.3380126953125,117.3817138671875,13.7105712890625L117.3817138671875,13.7105712890625C126.7547607421875,23.08306884765625,126.7547607421875,38.27911376953125,117.3817138671875,47.65167236328125L66.1168212890625,98.9169921875"
+										fill="none"
+										stroke-linecap="round"
+										style="fill: none;"
+									/></g
+								><g
+									fill="none"
+									stroke-linecap="round"
+									id="strokes-b954dcef-3e3e-8015-8007-585acd4382b6-320b5b95-d08d-8089-8007-585a974337b1"
+									class="strokes"
+									><g class="stroke-shape"
+										><path
+											d="M15.5587158203125,81.5927734375L83.44091796875,13.7105712890625C92.813720703125,4.3380126953125,108.0096435546875,4.3380126953125,117.3817138671875,13.7105712890625L117.3817138671875,13.7105712890625C126.7547607421875,23.08306884765625,126.7547607421875,38.27911376953125,117.3817138671875,47.65167236328125L66.1168212890625,98.9169921875"
+											style="fill: none; stroke-width: 12; stroke: currentColor; stroke-opacity: 1;"
+										/></g
+									></g
+								></g
+							><g id="shape-320b5b95-d08d-8089-8007-585a974337b2"
+								><g class="fills" id="fills-320b5b95-d08d-8089-8007-585a974337b2"
+									><path
+										d="M66.5587158203125,98.26885986328125L117.1165771484375,47.7105712890625C126.489501953125,38.3380126953125,141.6854248046875,38.3380126953125,151.0584716796875,47.7105712890625L151.4114990234375,48.0640869140625C160.7845458984375,57.43670654296875,160.7845458984375,72.6326904296875,151.4114990234375,82.00518798828125L90.018310546875,143.39886474609375C86.8941650390625,146.52288818359375,86.8941650390625,151.587890625,90.018310546875,154.71185302734375L102.62451171875,167.31890869140625"
+										fill="none"
+										stroke-linecap="round"
+										style="fill: none;"
+									/></g
+								><g
+									fill="none"
+									stroke-linecap="round"
+									id="strokes-b954dcef-3e3e-8015-8007-585acd447743-320b5b95-d08d-8089-8007-585a974337b2"
+									class="strokes"
+									><g class="stroke-shape"
+										><path
+											d="M66.5587158203125,98.26885986328125L117.1165771484375,47.7105712890625C126.489501953125,38.3380126953125,141.6854248046875,38.3380126953125,151.0584716796875,47.7105712890625L151.4114990234375,48.0640869140625C160.7845458984375,57.43670654296875,160.7845458984375,72.6326904296875,151.4114990234375,82.00518798828125L90.018310546875,143.39886474609375C86.8941650390625,146.52288818359375,86.8941650390625,151.587890625,90.018310546875,154.71185302734375L102.62451171875,167.31890869140625"
+											style="fill: none; stroke-width: 12; stroke: currentColor; stroke-opacity: 1;"
+										/></g
+									></g
+								></g
+							><g id="shape-320b5b95-d08d-8089-8007-585a974337b3"
+								><g class="fills" id="fills-320b5b95-d08d-8089-8007-585a974337b3"
+									><path
+										d="M99.79296875,30.68115234375L49.588134765625,80.8857421875C40.215576171875,90.258056640625,40.215576171875,105.45404052734375,49.588134765625,114.82708740234375L49.588134765625,114.82708740234375C58.9608154296875,124.19903564453125,74.1566162109375,124.19903564453125,83.529296875,114.82708740234375L133.7340087890625,64.62225341796875"
+										fill="none"
+										stroke-linecap="round"
+										style="fill: none;"
+									/></g
+								><g
+									fill="none"
+									stroke-linecap="round"
+									id="strokes-b954dcef-3e3e-8015-8007-585acd44c5c9-320b5b95-d08d-8089-8007-585a974337b3"
+									class="strokes"
+									><g class="stroke-shape"
+										><path
+											d="M99.79296875,30.68115234375L49.588134765625,80.8857421875C40.215576171875,90.258056640625,40.215576171875,105.45404052734375,49.588134765625,114.82708740234375L49.588134765625,114.82708740234375C58.9608154296875,124.19903564453125,74.1566162109375,124.19903564453125,83.529296875,114.82708740234375L133.7340087890625,64.62225341796875"
+											style="fill: none; stroke-width: 12; stroke: currentColor; stroke-opacity: 1;"
+										/></g
+									></g
+								></g
+							></g
+						></g
+					></g
+				></g
+			></g
+		></g
+	></svg
+>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte
new file mode 100644
index 00000000000..9d7e9c33767
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte
@@ -0,0 +1,154 @@
+<script lang="ts">
+	import { cn } from '$lib/components/ui/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { mcpResources, mcpResourcesLoading } from '$lib/stores/mcp-resources.svelte';
+	import type { MCPServerResources, MCPResourceInfo, MCPResourceTemplateInfo } from '$lib/types';
+	import { SvelteMap, SvelteSet } from 'svelte/reactivity';
+	import { parseResourcePath } from '$lib/utils';
+	import McpResourceBrowserHeader from './McpResourceBrowserHeader.svelte';
+	import McpResourceBrowserEmptyState from './McpResourceBrowserEmptyState.svelte';
+	import McpResourceBrowserServerItem from './McpResourceBrowserServerItem.svelte';
+
+	interface Props {
+		onSelect?: (resource: MCPResourceInfo, shiftKey?: boolean) => void;
+		onToggle?: (resource: MCPResourceInfo, checked: boolean) => void;
+		onTemplateSelect?: (template: MCPResourceTemplateInfo) => void;
+		selectedUris?: Set<string>;
+		selectedTemplateUri?: string | null;
+		expandToUri?: string;
+		class?: string;
+	}
+
+	let {
+		onSelect,
+		onToggle,
+		onTemplateSelect,
+		selectedUris = new Set(),
+		selectedTemplateUri,
+		expandToUri,
+		class: className
+	}: Props = $props();
+
+	let expandedServers = new SvelteSet<string>();
+	let expandedFolders = new SvelteSet<string>();
+	let searchQuery = $state('');
+
+	const resources = $derived(mcpResources());
+	const isLoading = $derived(mcpResourcesLoading());
+
+	const filteredResources = $derived.by(() => {
+		if (!searchQuery.trim()) {
+			return resources;
+		}
+
+		const query = searchQuery.toLowerCase();
+		const filtered = new SvelteMap();
+
+		for (const [serverName, serverRes] of resources.entries()) {
+			const filteredResources = serverRes.resources.filter((r) => {
+				return (
+					r.title?.toLowerCase().includes(query) ||
+					r.uri.toLowerCase().includes(query) ||
+					serverName.toLowerCase().includes(query)
+				);
+			});
+
+			const filteredTemplates = serverRes.templates.filter((t) => {
+				return (
+					t.name?.toLowerCase().includes(query) ||
+					t.title?.toLowerCase().includes(query) ||
+					t.uriTemplate.toLowerCase().includes(query) ||
+					serverName.toLowerCase().includes(query)
+				);
+			});
+
+			if (filteredResources.length > 0 || filteredTemplates.length > 0 || query.trim()) {
+				filtered.set(serverName, {
+					...serverRes,
+					resources: filteredResources,
+					templates: filteredTemplates
+				});
+			}
+		}
+
+		return filtered;
+	});
+
+	$effect(() => {
+		if (expandToUri && resources.size > 0) {
+			autoExpandToResource(expandToUri);
+		}
+	});
+
+	function autoExpandToResource(uri: string) {
+		for (const [serverName, serverRes] of resources.entries()) {
+			const resource = serverRes.resources.find((r) => r.uri === uri);
+			if (resource) {
+				expandedServers.add(serverName);
+
+				const pathParts = parseResourcePath(uri);
+				if (pathParts.length > 1) {
+					let currentPath = '';
+					for (let i = 0; i < pathParts.length - 1; i++) {
+						currentPath = `${currentPath}/${pathParts[i]}`;
+						const folderId = `${serverName}:${currentPath}`;
+						expandedFolders.add(folderId);
+					}
+				}
+				break;
+			}
+		}
+	}
+
+	function toggleServer(serverName: string) {
+		if (expandedServers.has(serverName)) {
+			expandedServers.delete(serverName);
+		} else {
+			expandedServers.add(serverName);
+		}
+	}
+
+	function toggleFolder(folderId: string) {
+		if (expandedFolders.has(folderId)) {
+			expandedFolders.delete(folderId);
+		} else {
+			expandedFolders.add(folderId);
+		}
+	}
+
+	function handleRefresh() {
+		mcpStore.fetchAllResources();
+	}
+</script>
+
+<div class={cn('flex flex-col gap-2', className)}>
+	<McpResourceBrowserHeader
+		{isLoading}
+		onRefresh={handleRefresh}
+		onSearch={(q) => (searchQuery = q)}
+		{searchQuery}
+	/>
+
+	<div class="flex flex-col gap-1">
+		{#if filteredResources.size === 0}
+			<McpResourceBrowserEmptyState {isLoading} />
+		{:else}
+			{#each [...filteredResources.entries()] as [serverName, serverRes] (serverName)}
+				<McpResourceBrowserServerItem
+					serverName={serverName as string}
+					serverRes={serverRes as MCPServerResources}
+					isExpanded={expandedServers.has(serverName as string)}
+					{selectedUris}
+					{selectedTemplateUri}
+					{expandedFolders}
+					onToggleServer={() => toggleServer(serverName as string)}
+					onToggleFolder={toggleFolder}
+					{onSelect}
+					{onToggle}
+					{onTemplateSelect}
+					{searchQuery}
+				/>
+			{/each}
+		{/if}
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserEmptyState.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserEmptyState.svelte
new file mode 100644
index 00000000000..4fb0c1e24f7
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserEmptyState.svelte
@@ -0,0 +1,15 @@
+<script lang="ts">
+	interface Props {
+		isLoading: boolean;
+	}
+
+	let { isLoading }: Props = $props();
+</script>
+
+<div class="py-4 text-center text-sm text-muted-foreground">
+	{#if isLoading}
+		Loading resources...
+	{:else}
+		No resources available
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserHeader.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserHeader.svelte
new file mode 100644
index 00000000000..419654c13ca
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserHeader.svelte
@@ -0,0 +1,41 @@
+<script lang="ts">
+	import { RefreshCw, Loader2 } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import { SearchInput } from '$lib/components/app/forms';
+
+	interface Props {
+		isLoading: boolean;
+		onRefresh: () => void;
+		onSearch?: (query: string) => void;
+		searchQuery?: string;
+	}
+
+	let { isLoading, onRefresh, onSearch, searchQuery = '' }: Props = $props();
+</script>
+
+<div class="flex flex-col gap-2">
+	<div class="mb-2 flex items-center gap-4">
+		<SearchInput
+			placeholder="Search resources..."
+			value={searchQuery}
+			onInput={(value) => onSearch?.(value)}
+		/>
+
+		<Button
+			variant="ghost"
+			size="sm"
+			class="h-8 w-8 p-0"
+			onclick={onRefresh}
+			disabled={isLoading}
+			title="Refresh resources"
+		>
+			{#if isLoading}
+				<Loader2 class="h-4 w-4 animate-spin" />
+			{:else}
+				<RefreshCw class="h-4 w-4" />
+			{/if}
+		</Button>
+	</div>
+
+	<h3 class="text-sm font-medium">Available resources</h3>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserServerItem.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserServerItem.svelte
new file mode 100644
index 00000000000..01ab108963e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserServerItem.svelte
@@ -0,0 +1,235 @@
+<script lang="ts">
+	import { FolderOpen, ChevronDown, ChevronRight, Loader2, Braces } from '@lucide/svelte';
+	import { Checkbox } from '$lib/components/ui/checkbox';
+	import * as Collapsible from '$lib/components/ui/collapsible';
+	import { cn } from '$lib/components/ui/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import type { MCPResourceInfo, MCPResourceTemplateInfo, MCPServerResources } from '$lib/types';
+	import { SvelteSet } from 'svelte/reactivity';
+	import {
+		type ResourceTreeNode,
+		buildResourceTree,
+		countTreeResources,
+		sortTreeChildren
+	} from './mcp-resource-browser';
+	import { getDisplayName, getResourceIcon } from '$lib/utils';
+
+	interface Props {
+		serverName: string;
+		serverRes: MCPServerResources;
+		isExpanded: boolean;
+		selectedUris: Set<string>;
+		selectedTemplateUri?: string | null;
+		expandedFolders: SvelteSet<string>;
+		onToggleServer: () => void;
+		onToggleFolder: (folderId: string) => void;
+		onSelect?: (resource: MCPResourceInfo, shiftKey?: boolean) => void;
+		onToggle?: (resource: MCPResourceInfo, checked: boolean) => void;
+		onTemplateSelect?: (template: MCPResourceTemplateInfo) => void;
+		searchQuery?: string;
+	}
+
+	let {
+		serverName,
+		serverRes,
+		isExpanded,
+		selectedUris,
+		selectedTemplateUri,
+		expandedFolders,
+		onToggleServer,
+		onToggleFolder,
+		onSelect,
+		onToggle,
+		onTemplateSelect,
+		searchQuery = ''
+	}: Props = $props();
+
+	const hasResources = $derived(serverRes.resources.length > 0);
+	const hasTemplates = $derived(serverRes.templates.length > 0);
+	const hasContent = $derived(hasResources || hasTemplates);
+	const displayName = $derived(mcpStore.getServerDisplayName(serverName));
+	const favicon = $derived(mcpStore.getServerFavicon(serverName));
+	const resourceTree = $derived(buildResourceTree(serverRes.resources, serverName, searchQuery));
+
+	const templateInfos = $derived<MCPResourceTemplateInfo[]>(
+		serverRes.templates.map((t) => ({
+			uriTemplate: t.uriTemplate,
+			name: t.name,
+			title: t.title,
+			description: t.description,
+			mimeType: t.mimeType,
+			serverName,
+			annotations: t.annotations,
+			icons: t.icons
+		}))
+	);
+
+	function handleResourceClick(resource: MCPResourceInfo, event: MouseEvent) {
+		onSelect?.(resource, event.shiftKey);
+	}
+
+	function handleCheckboxChange(resource: MCPResourceInfo, checked: boolean) {
+		onToggle?.(resource, checked);
+	}
+
+	function isResourceSelected(resource: MCPResourceInfo): boolean {
+		return selectedUris.has(resource.uri);
+	}
+</script>
+
+{#snippet renderTreeNode(node: ResourceTreeNode, depth: number, parentPath: string)}
+	{@const isFolder = !node.resource && node.children.size > 0}
+	{@const folderId = `${serverName}:${parentPath}/${node.name}`}
+	{@const isFolderExpanded = expandedFolders.has(folderId)}
+
+	{#if isFolder}
+		{@const folderCount = countTreeResources(node)}
+		<Collapsible.Root open={isFolderExpanded} onOpenChange={() => onToggleFolder(folderId)}>
+			<Collapsible.Trigger
+				class="flex w-full items-center gap-2 rounded px-2 py-1 text-sm hover:bg-muted/50"
+			>
+				{#if isFolderExpanded}
+					<ChevronDown class="h-3 w-3" />
+				{:else}
+					<ChevronRight class="h-3 w-3" />
+				{/if}
+
+				<FolderOpen class="h-3.5 w-3.5 text-muted-foreground" />
+
+				<span class="font-medium">{node.name}</span>
+
+				<span class="text-xs text-muted-foreground">({folderCount})</span>
+			</Collapsible.Trigger>
+
+			<Collapsible.Content>
+				<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2">
+					{#each sortTreeChildren( [...node.children.values()] ) as child (child.resource?.uri || `${serverName}:${parentPath}/${node.name}/${child.name}`)}
+						{@render renderTreeNode(child, depth + 1, `${parentPath}/${node.name}`)}
+					{/each}
+				</div>
+			</Collapsible.Content>
+		</Collapsible.Root>
+	{:else if node.resource}
+		{@const resource = node.resource}
+		{@const ResourceIcon = getResourceIcon(resource.mimeType, resource.uri)}
+		{@const isSelected = isResourceSelected(resource)}
+		{@const resourceDisplayName = resource.title || getDisplayName(node.name)}
+
+		<div class="group flex w-full items-center gap-2">
+			{#if onToggle}
+				<Checkbox
+					checked={isSelected}
+					onCheckedChange={(checked: boolean | 'indeterminate') =>
+						handleCheckboxChange(resource, checked === true)}
+					class="h-4 w-4"
+				/>
+			{/if}
+
+			<button
+				class={cn(
+					'flex flex-1 items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors',
+					'hover:bg-muted/50',
+					isSelected && 'bg-muted'
+				)}
+				onclick={(e: MouseEvent) => handleResourceClick(resource, e)}
+				title={resourceDisplayName}
+			>
+				<ResourceIcon class="h-3.5 w-3.5 shrink-0 text-muted-foreground" />
+
+				<span class="min-w-0 flex-1 truncate text-left">
+					{resourceDisplayName}
+				</span>
+			</button>
+		</div>
+	{/if}
+{/snippet}
+
+<Collapsible.Root open={isExpanded} onOpenChange={onToggleServer}>
+	<Collapsible.Trigger
+		class="flex w-full items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50"
+	>
+		{#if isExpanded}
+			<ChevronDown class="h-3.5 w-3.5" />
+		{:else}
+			<ChevronRight class="h-3.5 w-3.5" />
+		{/if}
+
+		<span class="inline-flex flex-col items-start text-left">
+			<span class="inline-flex items-center justify-start gap-1.5 font-medium">
+				{#if favicon}
+					<img
+						src={favicon}
+						alt=""
+						class="h-4 w-4 shrink-0 rounded-sm"
+						onerror={(e) => {
+							(e.currentTarget as HTMLImageElement).style.display = 'none';
+						}}
+					/>
+				{/if}
+
+				{displayName}
+			</span>
+
+			<span class="text-xs text-muted-foreground">
+				({serverRes.resources.length} resource{serverRes.resources.length !== 1
+					? 's'
+					: ''}{#if hasTemplates}, {serverRes.templates.length} template{serverRes.templates
+						.length !== 1
+						? 's'
+						: ''}{/if})
+			</span>
+		</span>
+
+		{#if serverRes.loading}
+			<Loader2 class="ml-auto h-3 w-3 animate-spin text-muted-foreground" />
+		{/if}
+	</Collapsible.Trigger>
+
+	<Collapsible.Content>
+		<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2">
+			{#if serverRes.error}
+				<div class="py-1 text-xs text-red-500">
+					Error: {serverRes.error}
+				</div>
+			{:else if !hasContent}
+				<div class="py-1 text-xs text-muted-foreground">No resources</div>
+			{:else}
+				{#if hasResources}
+					{#each sortTreeChildren( [...resourceTree.children.values()] ) as child (child.resource?.uri || `${serverName}:${child.name}`)}
+						{@render renderTreeNode(child, 1, '')}
+					{/each}
+				{/if}
+
+				{#if hasTemplates && onTemplateSelect}
+					{#if hasResources}
+						<div class="my-1 border-t border-border/30"></div>
+					{/if}
+
+					<div
+						class="py-0.5 text-[11px] font-medium tracking-wide text-muted-foreground/70 uppercase"
+					>
+						Templates
+					</div>
+
+					{#each templateInfos as template (template.uriTemplate)}
+						<button
+							class={cn(
+								'flex w-full items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors',
+								'hover:bg-muted/50',
+								selectedTemplateUri === template.uriTemplate && 'bg-muted'
+							)}
+							onclick={() => onTemplateSelect(template)}
+							title={template.uriTemplate}
+						>
+							<Braces class="h-3.5 w-3.5 shrink-0 text-muted-foreground" />
+
+							<span class="min-w-0 flex-1 truncate text-left">
+								{template.title || template.name}
+							</span>
+						</button>
+					{/each}
+				{/if}
+			{/if}
+		</div>
+	</Collapsible.Content>
+</Collapsible.Root>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/mcp-resource-browser.ts b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/mcp-resource-browser.ts
new file mode 100644
index 00000000000..804fa7fe2fc
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/mcp-resource-browser.ts
@@ -0,0 +1,118 @@
+import type { MCPResource, MCPResourceInfo } from '$lib/types';
+import { parseResourcePath } from '$lib/utils';
+
+export interface ResourceTreeNode {
+	name: string;
+	resource?: MCPResourceInfo;
+	children: Map<string, ResourceTreeNode>;
+	isFiltered?: boolean;
+}
+
+function resourceMatchesSearch(resource: MCPResource, query: string): boolean {
+	return (
+		resource.title?.toLowerCase().includes(query) || resource.uri.toLowerCase().includes(query)
+	);
+}
+
+export function buildResourceTree(
+	resourceList: MCPResource[],
+	serverName: string,
+	searchQuery?: string
+): ResourceTreeNode {
+	const root: ResourceTreeNode = { name: 'root', children: new Map() };
+
+	if (!searchQuery || !searchQuery.trim()) {
+		for (const resource of resourceList) {
+			const pathParts = parseResourcePath(resource.uri);
+			let current = root;
+
+			for (let i = 0; i < pathParts.length - 1; i++) {
+				const part = pathParts[i];
+				if (!current.children.has(part)) {
+					current.children.set(part, { name: part, children: new Map() });
+				}
+				current = current.children.get(part)!;
+			}
+
+			const fileName = pathParts[pathParts.length - 1] || resource.name;
+			current.children.set(resource.uri, {
+				name: fileName,
+				resource: { ...resource, serverName },
+				children: new Map()
+			});
+		}
+
+		return root;
+	}
+
+	const query = searchQuery.toLowerCase();
+
+	// Build tree with filtering
+	for (const resource of resourceList) {
+		if (!resourceMatchesSearch(resource, query)) continue;
+
+		const pathParts = parseResourcePath(resource.uri);
+		let current = root;
+
+		for (let i = 0; i < pathParts.length - 1; i++) {
+			const part = pathParts[i];
+			if (!current.children.has(part)) {
+				current.children.set(part, { name: part, children: new Map(), isFiltered: true });
+			}
+			current = current.children.get(part)!;
+		}
+
+		const fileName = pathParts[pathParts.length - 1] || resource.name;
+
+		current.children.set(resource.uri, {
+			name: fileName,
+			resource: { ...resource, serverName },
+			children: new Map(),
+			isFiltered: true
+		});
+	}
+
+	function cleanupEmptyFolders(node: ResourceTreeNode): boolean {
+		if (node.resource) return true;
+
+		const toDelete: string[] = [];
+		for (const [name, child] of node.children.entries()) {
+			if (!cleanupEmptyFolders(child)) {
+				toDelete.push(name);
+			}
+		}
+
+		for (const name of toDelete) {
+			node.children.delete(name);
+		}
+
+		return node.children.size > 0;
+	}
+
+	cleanupEmptyFolders(root);
+
+	return root;
+}
+
+export function countTreeResources(node: ResourceTreeNode): number {
+	if (node.resource) return 1;
+	let count = 0;
+
+	for (const child of node.children.values()) {
+		count += countTreeResources(child);
+	}
+
+	return count;
+}
+
+export function sortTreeChildren(children: ResourceTreeNode[]): ResourceTreeNode[] {
+	return children.sort((a, b) => {
+		const aIsFolder = !a.resource && a.children.size > 0;
+		const bIsFolder = !b.resource && b.children.size > 0;
+
+		if (aIsFolder && !bIsFolder) return -1;
+		if (!aIsFolder && bIsFolder) return 1;
+
+		return a.name.localeCompare(b.name);
+	});
+}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte
new file mode 100644
index 00000000000..6508c02a74c
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte
@@ -0,0 +1,175 @@
+<script lang="ts">
+	import { FileText, Loader2, AlertCircle, Download } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import { cn } from '$lib/components/ui/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import {
+		isImageMimeType,
+		createBase64DataUrl,
+		getResourceTextContent,
+		getResourceBlobContent,
+		downloadResourceContent
+	} from '$lib/utils';
+	import { MimeTypeApplication, MimeTypeText } from '$lib/enums';
+	import { ActionIconCopyToClipboard } from '$lib/components/app';
+	import type { MCPResourceInfo, MCPResourceContent } from '$lib/types';
+
+	interface Props {
+		resource: MCPResourceInfo | null;
+		/** Pre-loaded content (e.g., from template resolution). Skips store fetch when provided. */
+		preloadedContent?: MCPResourceContent[] | null;
+		class?: string;
+	}
+
+	let { resource, preloadedContent, class: className }: Props = $props();
+
+	let content = $state<MCPResourceContent[] | null>(null);
+	let isLoading = $state(false);
+	let error = $state<string | null>(null);
+
+	$effect(() => {
+		if (resource) {
+			if (preloadedContent) {
+				content = preloadedContent;
+				isLoading = false;
+				error = null;
+			} else {
+				loadContent(resource.uri);
+			}
+		} else {
+			content = null;
+			error = null;
+		}
+	});
+
+	async function loadContent(uri: string) {
+		isLoading = true;
+		error = null;
+
+		try {
+			const result = await mcpStore.readResource(uri);
+			if (result) {
+				content = result;
+			} else {
+				error = 'Failed to load resource content';
+			}
+		} catch (e) {
+			error = e instanceof Error ? e.message : 'Unknown error';
+		} finally {
+			isLoading = false;
+		}
+	}
+
+	function handleDownload() {
+		const text = getResourceTextContent(content);
+		if (!text || !resource) return;
+		downloadResourceContent(
+			text,
+			resource.mimeType || MimeTypeText.PLAIN,
+			resource.name || 'resource.txt'
+		);
+	}
+</script>
+
+<div class={cn('flex flex-col gap-3', className)}>
+	{#if !resource}
+		<div class="flex flex-col items-center justify-center gap-2 py-8 text-muted-foreground">
+			<FileText class="h-8 w-8 opacity-50" />
+
+			<span class="text-sm">Select a resource to preview</span>
+		</div>
+	{:else}
+		<div class="flex items-start justify-between gap-2">
+			<div class="min-w-0 flex-1">
+				<h3 class="truncate font-medium">{resource.title || resource.name}</h3>
+
+				<p class="truncate text-xs text-muted-foreground">{resource.uri}</p>
+
+				{#if resource.description}
+					<p class="mt-1 text-sm text-muted-foreground">{resource.description}</p>
+				{/if}
+			</div>
+
+			<div class="flex items-center gap-1">
+				<ActionIconCopyToClipboard
+					text={getResourceTextContent(content)}
+					canCopy={!isLoading && !!getResourceTextContent(content)}
+					ariaLabel="Copy content"
+				/>
+
+				<Button
+					variant="ghost"
+					size="sm"
+					class="h-7 w-7 p-0"
+					onclick={handleDownload}
+					disabled={isLoading || !getResourceTextContent(content)}
+					title="Download content"
+				>
+					<Download class="h-3.5 w-3.5" />
+				</Button>
+			</div>
+		</div>
+
+		<div class="min-h-[200px] overflow-auto rounded-md border bg-muted/30 p-3 break-all">
+			{#if isLoading}
+				<div class="flex items-center justify-center py-8">
+					<Loader2 class="h-6 w-6 animate-spin text-muted-foreground" />
+				</div>
+			{:else if error}
+				<div class="flex flex-col items-center justify-center gap-2 py-8 text-red-500">
+					<AlertCircle class="h-6 w-6" />
+
+					<span class="text-sm">{error}</span>
+				</div>
+			{:else if content}
+				{@const textContent = getResourceTextContent(content)}
+				{@const blobContent = getResourceBlobContent(content)}
+
+				{#if textContent}
+					<pre class="font-mono text-xs break-words whitespace-pre-wrap">{textContent}</pre>
+				{/if}
+
+				{#each blobContent as blob (blob.uri)}
+					{#if isImageMimeType(blob.mimeType ?? MimeTypeApplication.OCTET_STREAM)}
+						<img
+							src={createBase64DataUrl(
+								blob.mimeType ?? MimeTypeApplication.OCTET_STREAM,
+								blob.blob
+							)}
+							alt="Resource content"
+							class="max-w-full rounded"
+						/>
+					{:else}
+						<div class="flex items-center gap-2 rounded bg-muted p-2 text-sm text-muted-foreground">
+							<FileText class="h-4 w-4" />
+
+							<span>Binary content ({blob.mimeType || 'unknown type'})</span>
+						</div>
+					{/if}
+				{/each}
+
+				{#if !textContent && blobContent.length === 0}
+					<div class="py-4 text-center text-sm text-muted-foreground">No content available</div>
+				{/if}
+			{/if}
+		</div>
+
+		{#if resource.mimeType || resource.annotations}
+			<div class="flex flex-wrap gap-2 text-xs text-muted-foreground">
+				{#if resource.mimeType}
+					<span class="rounded bg-muted px-1.5 py-0.5">{resource.mimeType}</span>
+				{/if}
+
+				{#if resource.annotations?.priority !== undefined}
+					<span class="rounded bg-muted px-1.5 py-0.5">
+						Priority: {resource.annotations.priority}
+					</span>
+				{/if}
+
+				<span class="rounded bg-muted px-1.5 py-0.5">
+					Server: {resource.serverName}
+				</span>
+			</div>
+		{/if}
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceTemplateForm.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourceTemplateForm.svelte
new file mode 100644
index 00000000000..f6263251424
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourceTemplateForm.svelte
@@ -0,0 +1,171 @@
+<script lang="ts">
+	import { Button } from '$lib/components/ui/button';
+	import { InputWithSuggestions } from '$lib/components/app';
+	import { KeyboardKey } from '$lib/enums';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { MIN_AUTOCOMPLETE_INPUT_LENGTH } from '$lib/constants';
+	import type { MCPResourceTemplateInfo } from '$lib/types';
+	import {
+		debounce,
+		extractTemplateVariables,
+		expandTemplate,
+		isTemplateComplete
+	} from '$lib/utils';
+
+	interface Props {
+		template: MCPResourceTemplateInfo;
+		onResolve: (uri: string, serverName: string) => void;
+		onCancel: () => void;
+	}
+
+	let { template, onResolve, onCancel }: Props = $props();
+
+	const variables = $derived(extractTemplateVariables(template.uriTemplate));
+
+	let values = $state<Record<string, string>>({});
+	let suggestions = $state<Record<string, string[]>>({});
+	let loadingSuggestions = $state<Record<string, boolean>>({});
+	let activeAutocomplete = $state<string | null>(null);
+	let autocompleteIndex = $state(0);
+
+	const expandedUri = $derived(expandTemplate(template.uriTemplate, values));
+	const isComplete = $derived(isTemplateComplete(template.uriTemplate, values));
+
+	const fetchCompletions = debounce(async (argName: string, value: string) => {
+		if (value.length < 1) {
+			suggestions[argName] = [];
+
+			return;
+		}
+
+		loadingSuggestions[argName] = true;
+
+		try {
+			const result = await mcpStore.getResourceCompletions(
+				template.serverName,
+				template.uriTemplate,
+				argName,
+				value
+			);
+
+			if (result && result.values.length > 0) {
+				const filteredValues = result.values.filter((v) => v.trim() !== '');
+
+				if (filteredValues.length > 0) {
+					suggestions[argName] = filteredValues;
+					activeAutocomplete = argName;
+					autocompleteIndex = 0;
+				} else {
+					suggestions[argName] = [];
+				}
+			} else {
+				suggestions[argName] = [];
+			}
+		} catch (error) {
+			console.error('[McpResourceTemplateForm] Failed to fetch completions:', error);
+			suggestions[argName] = [];
+		} finally {
+			loadingSuggestions[argName] = false;
+		}
+	}, 200);
+
+	function handleArgInput(argName: string, value: string) {
+		values[argName] = value;
+		fetchCompletions(argName, value);
+	}
+
+	function selectSuggestion(argName: string, value: string) {
+		values[argName] = value;
+		suggestions[argName] = [];
+		activeAutocomplete = null;
+	}
+
+	function handleArgKeydown(event: KeyboardEvent, argName: string) {
+		const argSuggestions = suggestions[argName] ?? [];
+
+		if (event.key === KeyboardKey.ESCAPE) {
+			event.preventDefault();
+			event.stopPropagation();
+
+			if (argSuggestions.length > 0 && activeAutocomplete === argName) {
+				suggestions[argName] = [];
+				activeAutocomplete = null;
+			} else {
+				onCancel();
+			}
+
+			return;
+		}
+
+		if (argSuggestions.length === 0 || activeAutocomplete !== argName) return;
+
+		if (event.key === KeyboardKey.ARROW_DOWN) {
+			event.preventDefault();
+			autocompleteIndex = Math.min(autocompleteIndex + 1, argSuggestions.length - 1);
+		} else if (event.key === KeyboardKey.ARROW_UP) {
+			event.preventDefault();
+			autocompleteIndex = Math.max(autocompleteIndex - 1, 0);
+		} else if (event.key === KeyboardKey.ENTER && argSuggestions[autocompleteIndex]) {
+			event.preventDefault();
+			event.stopPropagation();
+			selectSuggestion(argName, argSuggestions[autocompleteIndex]);
+		}
+	}
+
+	function handleArgBlur(argName: string) {
+		setTimeout(() => {
+			if (activeAutocomplete === argName) {
+				suggestions[argName] = [];
+				activeAutocomplete = null;
+			}
+		}, 150);
+	}
+
+	function handleArgFocus(argName: string) {
+		const value = values[argName] ?? '';
+
+		if (value.length >= MIN_AUTOCOMPLETE_INPUT_LENGTH) {
+			fetchCompletions(argName, value);
+		}
+	}
+
+	function handleSubmit(event: SubmitEvent) {
+		event.preventDefault();
+
+		if (isComplete) {
+			onResolve(expandedUri, template.serverName);
+		}
+	}
+</script>
+
+<form onsubmit={handleSubmit} class="space-y-3">
+	{#each variables as variable (variable.name)}
+		<InputWithSuggestions
+			name={variable.name}
+			value={values[variable.name] ?? ''}
+			suggestions={suggestions[variable.name] ?? []}
+			isLoadingSuggestions={loadingSuggestions[variable.name] ?? false}
+			isAutocompleteActive={activeAutocomplete === variable.name}
+			autocompleteIndex={activeAutocomplete === variable.name ? autocompleteIndex : 0}
+			onInput={(value) => handleArgInput(variable.name, value)}
+			onKeydown={(e) => handleArgKeydown(e, variable.name)}
+			onBlur={() => handleArgBlur(variable.name)}
+			onFocus={() => handleArgFocus(variable.name)}
+			onSelectSuggestion={(value) => selectSuggestion(variable.name, value)}
+		/>
+	{/each}
+
+	{#if isComplete}
+		<div class="rounded-md bg-muted/50 px-3 py-2">
+			<p class="text-xs text-muted-foreground">Resolved URI:</p>
+
+			<p class="mt-0.5 font-mono text-xs break-all">{expandedUri}</p>
+		</div>
+	{/if}
+
+	<div class="flex justify-end gap-2 pt-1">
+		<Button type="button" size="sm" variant="secondary" onclick={onCancel}>Cancel</Button>
+
+		<Button size="sm" type="submit" disabled={!isComplete}>Read Resource</Button>
+	</div>
+</form>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte
new file mode 100644
index 00000000000..6a7b56370e7
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte
@@ -0,0 +1,192 @@
+<script lang="ts">
+	import { tick } from 'svelte';
+	import * as Card from '$lib/components/ui/card';
+	import { Skeleton } from '$lib/components/ui/skeleton';
+	import type { MCPServerSettingsEntry, HealthCheckState } from '$lib/types';
+	import { HealthCheckStatus } from '$lib/enums';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import {
+		McpServerCardActions,
+		McpServerCardDeleteDialog,
+		McpServerCardEditForm,
+		McpServerCardHeader,
+		McpServerCardToolsList,
+		McpConnectionLogs,
+		McpServerInfo
+	} from '$lib/components/app/mcp';
+
+	interface Props {
+		server: MCPServerSettingsEntry;
+		faviconUrl: string | null;
+		enabled?: boolean;
+		onToggle: (enabled: boolean) => void;
+		onUpdate: (updates: Partial<MCPServerSettingsEntry>) => void;
+		onDelete: () => void;
+	}
+
+	let { server, faviconUrl, enabled, onToggle, onUpdate, onDelete }: Props = $props();
+
+	let healthState = $derived<HealthCheckState>(mcpStore.getHealthCheckState(server.id));
+	let displayName = $derived(mcpStore.getServerLabel(server));
+	let isIdle = $derived(healthState.status === HealthCheckStatus.IDLE);
+	let isHealthChecking = $derived(healthState.status === HealthCheckStatus.CONNECTING);
+	let isConnected = $derived(healthState.status === HealthCheckStatus.SUCCESS);
+	let isError = $derived(healthState.status === HealthCheckStatus.ERROR);
+	let showSkeleton = $derived(isIdle || isHealthChecking);
+	let errorMessage = $derived(
+		healthState.status === HealthCheckStatus.ERROR ? healthState.message : undefined
+	);
+	let tools = $derived(healthState.status === HealthCheckStatus.SUCCESS ? healthState.tools : []);
+
+	let connectionLogs = $derived(
+		healthState.status === HealthCheckStatus.CONNECTING ||
+			healthState.status === HealthCheckStatus.SUCCESS ||
+			healthState.status === HealthCheckStatus.ERROR
+			? healthState.logs
+			: []
+	);
+
+	let successState = $derived(
+		healthState.status === HealthCheckStatus.SUCCESS ? healthState : null
+	);
+	let serverInfo = $derived(successState?.serverInfo);
+	let capabilities = $derived(successState?.capabilities);
+	let transportType = $derived(successState?.transportType);
+	let protocolVersion = $derived(successState?.protocolVersion);
+	let connectionTimeMs = $derived(successState?.connectionTimeMs);
+	let instructions = $derived(successState?.instructions);
+
+	let isEditing = $derived(!server.url.trim());
+	let showDeleteDialog = $state(false);
+	let editFormRef: McpServerCardEditForm | null = $state(null);
+
+	function handleHealthCheck() {
+		mcpStore.runHealthCheck(server);
+	}
+
+	async function startEditing() {
+		isEditing = true;
+		await tick();
+		editFormRef?.setInitialValues(server.url, server.headers || '', server.useProxy || false);
+	}
+
+	function cancelEditing() {
+		if (server.url.trim()) {
+			isEditing = false;
+		} else {
+			onDelete();
+		}
+	}
+
+	function saveEditing(url: string, headers: string, useProxy: boolean) {
+		onUpdate({
+			url: url,
+			headers: headers || undefined,
+			useProxy: useProxy
+		});
+		isEditing = false;
+
+		if (server.enabled && url) {
+			setTimeout(() => mcpStore.runHealthCheck({ ...server, url, useProxy }), 100);
+		}
+	}
+
+	function handleDeleteClick() {
+		showDeleteDialog = true;
+	}
+</script>
+
+<Card.Root class="!gap-3 bg-muted/30 p-4">
+	{#if isEditing}
+		<McpServerCardEditForm
+			bind:this={editFormRef}
+			serverId={server.id}
+			serverUrl={server.url}
+			serverUseProxy={server.useProxy}
+			onSave={saveEditing}
+			onCancel={cancelEditing}
+		/>
+	{:else}
+		<McpServerCardHeader
+			{displayName}
+			{faviconUrl}
+			enabled={enabled ?? server.enabled}
+			disabled={isError}
+			{onToggle}
+			{serverInfo}
+			{capabilities}
+			{transportType}
+		/>
+
+		{#if isError && errorMessage}
+			<p class="text-xs text-destructive">{errorMessage}</p>
+		{/if}
+
+		{#if isConnected && serverInfo?.description}
+			<p class="line-clamp-2 text-xs text-muted-foreground">
+				{serverInfo.description}
+			</p>
+		{/if}
+
+		<div class="grid gap-3">
+			{#if showSkeleton}
+				<div class="space-y-2">
+					<div class="flex items-center gap-2">
+						<Skeleton class="h-4 w-4 rounded" />
+						<Skeleton class="h-3 w-24" />
+					</div>
+					<div class="flex flex-wrap gap-1.5">
+						<Skeleton class="h-5 w-16 rounded-full" />
+						<Skeleton class="h-5 w-20 rounded-full" />
+						<Skeleton class="h-5 w-14 rounded-full" />
+					</div>
+				</div>
+
+				<div class="space-y-1.5">
+					<div class="flex items-center gap-2">
+						<Skeleton class="h-4 w-4 rounded" />
+						<Skeleton class="h-3 w-32" />
+					</div>
+				</div>
+			{:else}
+				{#if isConnected && instructions}
+					<McpServerInfo {instructions} />
+				{/if}
+
+				{#if tools.length > 0}
+					<McpServerCardToolsList {tools} />
+				{/if}
+
+				{#if connectionLogs.length > 0}
+					<McpConnectionLogs logs={connectionLogs} {connectionTimeMs} />
+				{/if}
+			{/if}
+		</div>
+
+		<div class="flex justify-between gap-4">
+			{#if showSkeleton}
+				<Skeleton class="h-3 w-28" />
+			{:else if protocolVersion}
+				<div class="flex flex-wrap items-center gap-1">
+					<span class="text-[10px] text-muted-foreground">
+						Protocol version: {protocolVersion}
+					</span>
+				</div>
+			{/if}
+
+			<McpServerCardActions
+				{isHealthChecking}
+				onEdit={startEditing}
+				onRefresh={handleHealthCheck}
+				onDelete={handleDeleteClick}
+			/>
+		</div>
+	{/if}
+</Card.Root>
+
+<McpServerCardDeleteDialog
+	bind:open={showDeleteDialog}
+	{displayName}
+	onOpenChange={(open) => (showDeleteDialog = open)}
+	onConfirm={onDelete}
+/>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardActions.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardActions.svelte
new file mode 100644
index 00000000000..6f137fa21b7
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardActions.svelte
@@ -0,0 +1,40 @@
+<script lang="ts">
+	import { Trash2, RefreshCw, Pencil } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+
+	interface Props {
+		isHealthChecking: boolean;
+		onEdit: () => void;
+		onRefresh: () => void;
+		onDelete: () => void;
+	}
+
+	let { isHealthChecking, onEdit, onRefresh, onDelete }: Props = $props();
+</script>
+
+<div class="flex shrink-0 items-center gap-1">
+	<Button variant="ghost" size="icon" class="h-7 w-7" onclick={onEdit} aria-label="Edit">
+		<Pencil class="h-3.5 w-3.5" />
+	</Button>
+
+	<Button
+		variant="ghost"
+		size="icon"
+		class="h-7 w-7"
+		onclick={onRefresh}
+		disabled={isHealthChecking}
+		aria-label="Refresh"
+	>
+		<RefreshCw class="h-3.5 w-3.5" />
+	</Button>
+
+	<Button
+		variant="ghost"
+		size="icon"
+		class="hover:text-destructive-foreground h-7 w-7 text-destructive hover:bg-destructive/10"
+		onclick={onDelete}
+		aria-label="Delete"
+	>
+		<Trash2 class="h-3.5 w-3.5" />
+	</Button>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardDeleteDialog.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardDeleteDialog.svelte
new file mode 100644
index 00000000000..8f650148a2f
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardDeleteDialog.svelte
@@ -0,0 +1,36 @@
+<script lang="ts">
+	import * as AlertDialog from '$lib/components/ui/alert-dialog';
+
+	interface Props {
+		open: boolean;
+		displayName: string;
+		onOpenChange: (open: boolean) => void;
+		onConfirm: () => void;
+	}
+
+	let { open = $bindable(), displayName, onOpenChange, onConfirm }: Props = $props();
+</script>
+
+<AlertDialog.Root bind:open {onOpenChange}>
+	<AlertDialog.Content>
+		<AlertDialog.Header>
+			<AlertDialog.Title>Delete Server</AlertDialog.Title>
+
+			<AlertDialog.Description>
+				Are you sure you want to delete <strong>{displayName}</strong>? This action cannot be
+				undone.
+			</AlertDialog.Description>
+		</AlertDialog.Header>
+
+		<AlertDialog.Footer>
+			<AlertDialog.Cancel>Cancel</AlertDialog.Cancel>
+
+			<AlertDialog.Action
+				class="text-destructive-foreground bg-destructive hover:bg-destructive/90"
+				onclick={onConfirm}
+			>
+				Delete
+			</AlertDialog.Action>
+		</AlertDialog.Footer>
+	</AlertDialog.Content>
+</AlertDialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardEditForm.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardEditForm.svelte
new file mode 100644
index 00000000000..6727a90006b
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardEditForm.svelte
@@ -0,0 +1,64 @@
+<script lang="ts">
+	import { Button } from '$lib/components/ui/button';
+	import { McpServerForm } from '$lib/components/app/mcp';
+
+	interface Props {
+		serverId: string;
+		serverUrl: string;
+		serverUseProxy?: boolean;
+		onSave: (url: string, headers: string, useProxy: boolean) => void;
+		onCancel: () => void;
+	}
+
+	let { serverId, serverUrl, serverUseProxy = false, onSave, onCancel }: Props = $props();
+
+	let editUrl = $derived(serverUrl);
+	let editHeaders = $state('');
+	let editUseProxy = $derived(serverUseProxy);
+
+	let urlError = $derived.by(() => {
+		if (!editUrl.trim()) return 'URL is required';
+		try {
+			new URL(editUrl);
+			return null;
+		} catch {
+			return 'Invalid URL format';
+		}
+	});
+
+	let canSave = $derived(!urlError);
+
+	function handleSave() {
+		if (!canSave) return;
+		onSave(editUrl.trim(), editHeaders.trim(), editUseProxy);
+	}
+
+	export function setInitialValues(url: string, headers: string, useProxy: boolean) {
+		editUrl = url;
+		editHeaders = headers;
+		editUseProxy = useProxy;
+	}
+</script>
+
+<div class="space-y-4">
+	<p class="font-medium">Configure Server</p>
+
+	<McpServerForm
+		url={editUrl}
+		headers={editHeaders}
+		useProxy={editUseProxy}
+		onUrlChange={(v) => (editUrl = v)}
+		onHeadersChange={(v) => (editHeaders = v)}
+		onUseProxyChange={(v) => (editUseProxy = v)}
+		urlError={editUrl ? urlError : null}
+		id={serverId}
+	/>
+
+	<div class="flex items-center justify-end gap-2">
+		<Button variant="secondary" size="sm" onclick={onCancel}>Cancel</Button>
+
+		<Button size="sm" onclick={handleSave} disabled={!canSave}>
+			{serverUrl.trim() ? 'Update' : 'Add'}
+		</Button>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte
new file mode 100644
index 00000000000..5af45bb35cf
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte
@@ -0,0 +1,97 @@
+<script lang="ts">
+	import { Cable, ExternalLink } from '@lucide/svelte';
+	import { Switch } from '$lib/components/ui/switch';
+	import { Badge } from '$lib/components/ui/badge';
+	import { McpCapabilitiesBadges } from '$lib/components/app/mcp';
+	import { MCP_TRANSPORT_LABELS, MCP_TRANSPORT_ICONS } from '$lib/constants';
+	import { MCPTransportType } from '$lib/enums';
+	import type { MCPServerInfo, MCPCapabilitiesInfo } from '$lib/types';
+
+	interface Props {
+		displayName: string;
+		faviconUrl: string | null;
+		enabled: boolean;
+		disabled?: boolean;
+		onToggle: (enabled: boolean) => void;
+		serverInfo?: MCPServerInfo;
+		capabilities?: MCPCapabilitiesInfo;
+		transportType?: MCPTransportType;
+	}
+
+	let {
+		displayName,
+		faviconUrl,
+		enabled,
+		disabled = false,
+		onToggle,
+		serverInfo,
+		capabilities,
+		transportType
+	}: Props = $props();
+</script>
+
+<div class="space-y-3">
+	<div class="flex items-start justify-between gap-3">
+		<div class="grid min-w-0 gap-3">
+			<div class="flex items-center gap-2 overflow-hidden">
+				{#if faviconUrl}
+					<img
+						src={faviconUrl}
+						alt=""
+						class="h-5 w-5 shrink-0 rounded"
+						onerror={(e) => {
+							(e.currentTarget as HTMLImageElement).style.display = 'none';
+						}}
+					/>
+				{:else}
+					<div class="flex h-5 w-5 shrink-0 items-center justify-center rounded bg-muted">
+						<Cable class="h-3 w-3 text-muted-foreground" />
+					</div>
+				{/if}
+
+				<p class="min-w-0 shrink-0 truncate leading-none font-medium">{displayName}</p>
+
+				{#if serverInfo?.version}
+					<Badge variant="secondary" class="h-4 min-w-0 truncate px-1 text-[10px]">
+						v{serverInfo.version}
+					</Badge>
+				{/if}
+
+				{#if serverInfo?.websiteUrl}
+					<a
+						href={serverInfo.websiteUrl}
+						target="_blank"
+						rel="noopener noreferrer"
+						class="shrink-0 text-muted-foreground hover:text-foreground"
+						aria-label="Open website"
+					>
+						<ExternalLink class="h-3 w-3" />
+					</a>
+				{/if}
+			</div>
+
+			{#if capabilities || transportType}
+				<div class="flex flex-wrap items-center gap-1">
+					{#if transportType}
+						{@const TransportIcon = MCP_TRANSPORT_ICONS[transportType]}
+						<Badge variant="outline" class="h-5 gap-1 px-1.5 text-[10px]">
+							{#if TransportIcon}
+								<TransportIcon class="h-3 w-3" />
+							{/if}
+
+							{MCP_TRANSPORT_LABELS[transportType] || transportType}
+						</Badge>
+					{/if}
+
+					{#if capabilities}
+						<McpCapabilitiesBadges {capabilities} />
+					{/if}
+				</div>
+			{/if}
+		</div>
+
+		<div class="flex shrink-0 items-center pl-2">
+			<Switch checked={enabled} {disabled} onCheckedChange={onToggle} />
+		</div>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardToolsList.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardToolsList.svelte
new file mode 100644
index 00000000000..d0397c17a98
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardToolsList.svelte
@@ -0,0 +1,47 @@
+<script lang="ts">
+	import { ChevronDown, ChevronRight } from '@lucide/svelte';
+	import * as Collapsible from '$lib/components/ui/collapsible';
+	import { Badge } from '$lib/components/ui/badge';
+
+	interface Tool {
+		name: string;
+		description?: string;
+	}
+
+	interface Props {
+		tools: Tool[];
+	}
+
+	let { tools }: Props = $props();
+
+	let isExpanded = $state(false);
+	let toolsCount = $derived(tools.length);
+</script>
+
+<Collapsible.Root bind:open={isExpanded}>
+	<Collapsible.Trigger
+		class="flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground"
+	>
+		{#if isExpanded}
+			<ChevronDown class="h-3.5 w-3.5" />
+		{:else}
+			<ChevronRight class="h-3.5 w-3.5" />
+		{/if}
+
+		<span>{toolsCount} tools available · Show details</span>
+	</Collapsible.Trigger>
+
+	<Collapsible.Content class="mt-2">
+		<div class="max-h-64 space-y-3 overflow-y-auto">
+			{#each tools as tool (tool.name)}
+				<div>
+					<Badge variant="secondary">{tool.name}</Badge>
+
+					{#if tool.description}
+						<p class="mt-1 text-xs text-muted-foreground">{tool.description}</p>
+					{/if}
+				</div>
+			{/each}
+		</div>
+	</Collapsible.Content>
+</Collapsible.Root>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCardSkeleton.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCardSkeleton.svelte
new file mode 100644
index 00000000000..39a1372806a
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCardSkeleton.svelte
@@ -0,0 +1,34 @@
+<script lang="ts">
+	import * as Card from '$lib/components/ui/card';
+	import { Skeleton } from '$lib/components/ui/skeleton';
+</script>
+
+<Card.Root class="grid gap-3 p-4">
+	<div class="flex items-center justify-between gap-4">
+		<div class="flex items-center gap-2">
+			<Skeleton class="h-5 w-5 rounded" />
+			<Skeleton class="h-5 w-28" />
+			<Skeleton class="h-5 w-12 rounded-full" />
+		</div>
+		<Skeleton class="h-6 w-11 rounded-full" />
+	</div>
+
+	<div class="flex flex-wrap gap-1.5">
+		<Skeleton class="h-5 w-14 rounded-full" />
+		<Skeleton class="h-5 w-12 rounded-full" />
+		<Skeleton class="h-5 w-16 rounded-full" />
+	</div>
+
+	<div class="space-y-1.5">
+		<Skeleton class="h-4 w-40" />
+		<Skeleton class="h-4 w-52" />
+	</div>
+
+	<Skeleton class="h-3.5 w-36" />
+
+	<div class="flex justify-end gap-2">
+		<Skeleton class="h-8 w-8 rounded" />
+		<Skeleton class="h-8 w-8 rounded" />
+		<Skeleton class="h-8 w-8 rounded" />
+	</div>
+</Card.Root>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte
new file mode 100644
index 00000000000..518311f6ec4
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte
@@ -0,0 +1,88 @@
+<script lang="ts">
+	import { Input } from '$lib/components/ui/input';
+	import { Switch } from '$lib/components/ui/switch';
+	import { KeyValuePairs } from '$lib/components/app';
+	import type { KeyValuePair } from '$lib/types';
+	import { parseHeadersToArray, serializeHeaders } from '$lib/utils';
+	import { UrlProtocol } from '$lib/enums';
+	import { MCP_SERVER_URL_PLACEHOLDER } from '$lib/constants';
+
+	interface Props {
+		url: string;
+		headers: string;
+		useProxy?: boolean;
+		onUrlChange: (url: string) => void;
+		onHeadersChange: (headers: string) => void;
+		onUseProxyChange?: (useProxy: boolean) => void;
+		urlError?: string | null;
+		id?: string;
+	}
+
+	let {
+		url,
+		headers,
+		useProxy = false,
+		onUrlChange,
+		onHeadersChange,
+		onUseProxyChange,
+		urlError = null,
+		id = 'server'
+	}: Props = $props();
+
+	let isWebSocket = $derived(
+		url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET) ||
+			url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET_SECURE)
+	);
+
+	let headerPairs = $derived<KeyValuePair[]>(parseHeadersToArray(headers));
+
+	function updateHeaderPairs(newPairs: KeyValuePair[]) {
+		headerPairs = newPairs;
+		onHeadersChange(serializeHeaders(newPairs));
+	}
+</script>
+
+<div class="grid gap-3">
+	<div>
+		<label for="server-url-{id}" class="mb-2 block text-xs font-medium">
+			Server URL <span class="text-destructive">*</span>
+		</label>
+
+		<Input
+			id="server-url-{id}"
+			type="url"
+			placeholder={MCP_SERVER_URL_PLACEHOLDER}
+			value={url}
+			oninput={(e) => onUrlChange(e.currentTarget.value)}
+			class={urlError ? 'border-destructive' : ''}
+		/>
+
+		{#if urlError}
+			<p class="mt-1.5 text-xs text-destructive">{urlError}</p>
+		{/if}
+
+		{#if !isWebSocket && onUseProxyChange}
+			<label class="mt-3 flex cursor-pointer items-center gap-2">
+				<Switch
+					id="use-proxy-{id}"
+					checked={useProxy}
+					onCheckedChange={(checked) => onUseProxyChange?.(checked)}
+				/>
+
+				<span class="text-xs text-muted-foreground">Use llama-server proxy</span>
+			</label>
+		{/if}
+	</div>
+
+	<KeyValuePairs
+		class="mt-2"
+		pairs={headerPairs}
+		onPairsChange={updateHeaderPairs}
+		keyPlaceholder="Header name"
+		valuePlaceholder="Value"
+		addButtonLabel="Add"
+		emptyMessage="No custom headers configured."
+		sectionLabel="Custom Headers"
+		sectionLabelOptional
+	/>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerInfo.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerInfo.svelte
new file mode 100644
index 00000000000..aecae6e57b0
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerInfo.svelte
@@ -0,0 +1,35 @@
+<script lang="ts">
+	import { ChevronDown, ChevronRight } from '@lucide/svelte';
+	import * as Collapsible from '$lib/components/ui/collapsible';
+
+	interface Props {
+		instructions?: string;
+		class?: string;
+	}
+
+	let { instructions, class: className }: Props = $props();
+
+	let isExpanded = $state(false);
+</script>
+
+{#if instructions}
+	<Collapsible.Root bind:open={isExpanded} class={className}>
+		<Collapsible.Trigger
+			class="flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground"
+		>
+			{#if isExpanded}
+				<ChevronDown class="h-3.5 w-3.5" />
+			{:else}
+				<ChevronRight class="h-3.5 w-3.5" />
+			{/if}
+
+			<span>Server instructions</span>
+		</Collapsible.Trigger>
+
+		<Collapsible.Content class="mt-2">
+			<p class="rounded bg-muted/50 p-2 text-xs text-muted-foreground">
+				{instructions}
+			</p>
+		</Collapsible.Content>
+	</Collapsible.Root>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServersSelector.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServersSelector.svelte
new file mode 100644
index 00000000000..ef701a5c09a
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServersSelector.svelte
@@ -0,0 +1,160 @@
+<script lang="ts">
+	import { Settings } from '@lucide/svelte';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import { Switch } from '$lib/components/ui/switch';
+	import { DropdownMenuSearchable, McpActiveServersAvatars } from '$lib/components/app';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { HealthCheckStatus } from '$lib/enums';
+	import type { MCPServerSettingsEntry } from '$lib/types';
+
+	interface Props {
+		class?: string;
+		disabled?: boolean;
+		onSettingsClick?: () => void;
+	}
+
+	let { class: className = '', disabled = false, onSettingsClick }: Props = $props();
+
+	let searchQuery = $state('');
+	let mcpServers = $derived(mcpStore.getServersSorted().filter((s) => s.enabled));
+	let hasMcpServers = $derived(mcpServers.length > 0);
+	let enabledMcpServersForChat = $derived(
+		mcpServers.filter((s) => conversationsStore.isMcpServerEnabledForChat(s.id) && s.url.trim())
+	);
+	let healthyEnabledMcpServers = $derived(
+		enabledMcpServersForChat.filter((s) => {
+			const healthState = mcpStore.getHealthCheckState(s.id);
+			return healthState.status !== HealthCheckStatus.ERROR;
+		})
+	);
+	let hasEnabledMcpServers = $derived(enabledMcpServersForChat.length > 0);
+	let mcpFavicons = $derived(
+		healthyEnabledMcpServers
+			.slice(0, 3)
+			.map((s) => ({ id: s.id, url: mcpStore.getServerFavicon(s.id) }))
+			.filter((f) => f.url !== null)
+	);
+	let filteredMcpServers = $derived.by(() => {
+		const query = searchQuery.toLowerCase().trim();
+		if (query) {
+			return mcpServers.filter((s) => {
+				const name = getServerLabel(s).toLowerCase();
+				const url = s.url.toLowerCase();
+				return name.includes(query) || url.includes(query);
+			});
+		}
+		return mcpServers;
+	});
+
+	function getServerLabel(server: MCPServerSettingsEntry): string {
+		return mcpStore.getServerLabel(server);
+	}
+
+	function handleDropdownOpen(open: boolean) {
+		if (open) {
+			mcpStore.runHealthChecksForServers(mcpServers);
+		}
+	}
+
+	function isServerEnabledForChat(serverId: string): boolean {
+		return conversationsStore.isMcpServerEnabledForChat(serverId);
+	}
+
+	async function toggleServerForChat(serverId: string) {
+		await conversationsStore.toggleMcpServerForChat(serverId);
+	}
+</script>
+
+{#if hasMcpServers && hasEnabledMcpServers && mcpFavicons.length > 0}
+	<DropdownMenu.Root
+		onOpenChange={(open) => {
+			if (!open) {
+				searchQuery = '';
+			}
+			handleDropdownOpen(open);
+		}}
+	>
+		<DropdownMenu.Trigger
+			{disabled}
+			onclick={(e) => {
+				e.preventDefault();
+				e.stopPropagation();
+			}}
+		>
+			<button
+				type="button"
+				class="inline-flex cursor-pointer items-center rounded-sm py-1 disabled:cursor-not-allowed disabled:opacity-60"
+				{disabled}
+				aria-label="MCP Servers"
+			>
+				<McpActiveServersAvatars class={className} />
+			</button>
+		</DropdownMenu.Trigger>
+
+		<DropdownMenu.Content align="start" class="w-72 pt-0">
+			<DropdownMenuSearchable
+				bind:searchValue={searchQuery}
+				placeholder="Search servers..."
+				emptyMessage="No servers found"
+				isEmpty={filteredMcpServers.length === 0}
+			>
+				<div class="max-h-64 overflow-y-auto">
+					{#each filteredMcpServers as server (server.id)}
+						{@const healthState = mcpStore.getHealthCheckState(server.id)}
+						{@const hasError = healthState.status === HealthCheckStatus.ERROR}
+						{@const isEnabledForChat = isServerEnabledForChat(server.id)}
+
+						<button
+							type="button"
+							class="flex w-full items-center justify-between gap-2 px-2 py-2 text-left transition-colors hover:bg-accent disabled:cursor-not-allowed disabled:opacity-50"
+							onclick={() => !hasError && toggleServerForChat(server.id)}
+							disabled={hasError}
+						>
+							<div class="flex min-w-0 flex-1 items-center gap-2">
+								{#if mcpStore.getServerFavicon(server.id)}
+									<img
+										src={mcpStore.getServerFavicon(server.id)}
+										alt=""
+										class="h-4 w-4 shrink-0 rounded-sm"
+										onerror={(e) => {
+											(e.currentTarget as HTMLImageElement).style.display = 'none';
+										}}
+									/>
+								{/if}
+
+								<span class="truncate text-sm">{getServerLabel(server)}</span>
+
+								{#if hasError}
+									<span
+										class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive"
+									>
+										Error
+									</span>
+								{/if}
+							</div>
+
+							<Switch
+								checked={isEnabledForChat}
+								disabled={hasError}
+								onclick={(e: MouseEvent) => e.stopPropagation()}
+								onCheckedChange={() => toggleServerForChat(server.id)}
+							/>
+						</button>
+					{/each}
+				</div>
+
+				{#snippet footer()}
+					<DropdownMenu.Item
+						class="flex cursor-pointer items-center gap-2"
+						onclick={onSettingsClick}
+					>
+						<Settings class="h-4 w-4" />
+
+						<span>Manage MCP Servers</span>
+					</DropdownMenu.Item>
+				{/snippet}
+			</DropdownMenuSearchable>
+		</DropdownMenu.Content>
+	</DropdownMenu.Root>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServersSettings.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServersSettings.svelte
new file mode 100644
index 00000000000..85232b586e8
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServersSettings.svelte
@@ -0,0 +1,150 @@
+<script lang="ts">
+	import { Plus } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import * as Card from '$lib/components/ui/card';
+	import { uuid } from '$lib/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { McpServerCard, McpServerCardSkeleton, McpServerForm } from '$lib/components/app/mcp';
+	import { MCP_SERVER_ID_PREFIX } from '$lib/constants';
+	import { HealthCheckStatus } from '$lib/enums';
+
+	let servers = $derived(mcpStore.getServersSorted());
+
+	let initialLoadComplete = $state(false);
+
+	$effect(() => {
+		if (initialLoadComplete) return;
+
+		const allChecked =
+			servers.length > 0 &&
+			servers.every((server) => {
+				const state = mcpStore.getHealthCheckState(server.id);
+
+				return (
+					state.status === HealthCheckStatus.SUCCESS || state.status === HealthCheckStatus.ERROR
+				);
+			});
+
+		if (allChecked) {
+			initialLoadComplete = true;
+		}
+	});
+
+	let isAddingServer = $state(false);
+	let newServerUrl = $state('');
+	let newServerHeaders = $state('');
+	let newServerUrlError = $derived.by(() => {
+		if (!newServerUrl.trim()) return 'URL is required';
+		try {
+			new URL(newServerUrl);
+
+			return null;
+		} catch {
+			return 'Invalid URL format';
+		}
+	});
+
+	function showAddServerForm() {
+		isAddingServer = true;
+		newServerUrl = '';
+		newServerHeaders = '';
+	}
+
+	function cancelAddServer() {
+		isAddingServer = false;
+		newServerUrl = '';
+		newServerHeaders = '';
+	}
+
+	function saveNewServer() {
+		if (newServerUrlError) return;
+
+		const newServerId = uuid() ?? `${MCP_SERVER_ID_PREFIX}-${Date.now()}`;
+
+		mcpStore.addServer({
+			id: newServerId,
+			enabled: true,
+			url: newServerUrl.trim(),
+			headers: newServerHeaders.trim() || undefined
+		});
+
+		conversationsStore.setMcpServerOverride(newServerId, true);
+
+		isAddingServer = false;
+		newServerUrl = '';
+		newServerHeaders = '';
+	}
+</script>
+
+<div class="space-y-5 md:space-y-4">
+	<div class="flex items-start justify-between gap-4">
+		<div>
+			<h4 class="text-base font-semibold">Manage Servers</h4>
+		</div>
+
+		{#if !isAddingServer}
+			<Button variant="outline" size="sm" class="shrink-0" onclick={showAddServerForm}>
+				<Plus class="h-4 w-4" />
+
+				Add New Server
+			</Button>
+		{/if}
+	</div>
+
+	{#if isAddingServer}
+		<Card.Root class="bg-muted/30 p-4">
+			<div class="space-y-4">
+				<p class="font-medium">Add New Server</p>
+
+				<McpServerForm
+					url={newServerUrl}
+					headers={newServerHeaders}
+					onUrlChange={(v) => (newServerUrl = v)}
+					onHeadersChange={(v) => (newServerHeaders = v)}
+					urlError={newServerUrl ? newServerUrlError : null}
+					id="new-server"
+				/>
+
+				<div class="flex items-center justify-end gap-2">
+					<Button variant="secondary" size="sm" onclick={cancelAddServer}>Cancel</Button>
+
+					<Button
+						variant="default"
+						size="sm"
+						onclick={saveNewServer}
+						disabled={!!newServerUrlError}
+						aria-label="Save"
+					>
+						Add
+					</Button>
+				</div>
+			</div>
+		</Card.Root>
+	{/if}
+
+	{#if servers.length === 0 && !isAddingServer}
+		<div class="rounded-md border border-dashed p-4 text-sm text-muted-foreground">
+			No MCP Servers configured yet. Add one to enable agentic features.
+		</div>
+	{/if}
+
+	{#if servers.length > 0}
+		<div class="space-y-3">
+			{#each servers as server (server.id)}
+				{#if !initialLoadComplete}
+					<McpServerCardSkeleton />
+				{:else}
+					<McpServerCard
+						{server}
+						faviconUrl={mcpStore.getServerFavicon(server.id)}
+						enabled={conversationsStore.isMcpServerEnabledForChat(server.id)}
+						onToggle={async () => await conversationsStore.toggleMcpServerForChat(server.id)}
+						onUpdate={(updates) => mcpStore.updateServer(server.id, updates)}
+						onDelete={() => mcpStore.removeServer(server.id)}
+					/>
+				{/if}
+			{/each}
+		</div>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/index.ts b/tools/server/webui/src/lib/components/app/mcp/index.ts
new file mode 100644
index 00000000000..6ab262a8c1d
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/index.ts
@@ -0,0 +1,262 @@
+/**
+ *
+ * MCP (Model Context Protocol)
+ *
+ * Components for managing MCP server connections and displaying server status.
+ * MCP enables agentic workflows by connecting to external tool servers.
+ *
+ * The MCP system integrates with:
+ * - `mcpStore` for server CRUD operations and health checks
+ * - `conversationsStore` for per-conversation server enable/disable
+ *
+ */
+
+/**
+ * **McpServersSettings** - MCP servers configuration section
+ *
+ * Settings section for configuring MCP server connections.
+ * Displays server cards with status, tools, and management actions.
+ * Used within the MCP tab of ChatSettings.
+ *
+ * **Architecture:**
+ * - Manages add server form state locally
+ * - Delegates server display to McpServerCard components
+ * - Integrates with mcpStore for server operations
+ * - Shows skeleton loading states during health checks
+ *
+ * **Features:**
+ * - Add new MCP servers by URL with validation
+ * - Server cards with connection status indicators
+ * - Health check status (connected/disconnected/error)
+ * - Tools list per server showing available capabilities
+ * - Enable/disable toggle per conversation
+ * - Edit/delete server actions
+ * - Skeleton loading states during connection
+ * - Empty state with helpful message
+ *
+ * @example
+ * ```svelte
+ * <McpServersSettings />
+ * ```
+ */
+export { default as McpServersSettings } from './McpServersSettings.svelte';
+
+/**
+ * **McpActiveServersAvatars** - Active MCP servers indicator
+ *
+ * Compact avatar row showing favicons of active MCP servers.
+ * Displays up to 3 server icons with "+N" counter for additional servers.
+ * Clickable to open MCP settings dialog.
+ *
+ * **Architecture:**
+ * - Filters servers by enabled status and health check
+ * - Fetches favicons from server URLs
+ * - Integrates with conversationsStore for per-chat server state
+ *
+ * **Features:**
+ * - Overlapping favicon avatars (max 3 visible)
+ * - "+N" counter for additional servers
+ * - Click handler for settings navigation
+ * - Disabled state support
+ * - Only shows healthy, enabled servers
+ *
+ * @example
+ * ```svelte
+ * <McpActiveServersAvatars
+ *   onSettingsClick={() => showMcpSettings = true}
+ * />
+ * ```
+ */
+export { default as McpActiveServersAvatars } from './McpActiveServersAvatars.svelte';
+
+/**
+ * **McpServersSelector** - Quick MCP server toggle dropdown
+ *
+ * Compact dropdown for quickly enabling/disabling MCP servers for the current chat.
+ * Uses McpActiveServersAvatars as trigger and shows searchable server list with switches.
+ *
+ * **Architecture:**
+ * - Uses DropdownMenuSearchable for searchable dropdown UI
+ * - McpActiveServersAvatars as the trigger element
+ * - Integrates with conversationsStore for per-chat toggle
+ * - Runs health checks on dropdown open
+ *
+ * **Features:**
+ * - Searchable server list by name/URL
+ * - Switch toggles matching McpServersSettings behavior
+ * - Error state display for unhealthy servers
+ * - Footer link to full MCP settings dialog
+ *
+ * @example
+ * ```svelte
+ * <McpServersSelector
+ *   onSettingsClick={() => showMcpSettings = true}
+ * />
+ * ```
+ */
+export { default as McpServersSelector } from './McpServersSelector.svelte';
+
+/**
+ * **McpCapabilitiesBadges** - Server capabilities display
+ *
+ * Displays MCP server capabilities as colored badges.
+ * Shows which features the server supports (tools, resources, prompts, etc.).
+ *
+ * **Features:**
+ * - Tools badge (green) - server provides callable tools
+ * - Resources badge (blue) - server provides data resources
+ * - Prompts badge (purple) - server provides prompt templates
+ * - Logging badge (orange) - server supports logging
+ * - Completions badge (cyan) - server provides completions
+ * - Tasks badge (pink) - server supports task management
+ */
+export { default as McpCapabilitiesBadges } from './McpCapabilitiesBadges.svelte';
+
+/**
+ * **McpConnectionLogs** - Connection log viewer
+ *
+ * Collapsible panel showing MCP server connection logs.
+ * Displays timestamped log entries with level-based styling.
+ *
+ * **Features:**
+ * - Collapsible log list with entry count
+ * - Connection time display in milliseconds
+ * - Log level icons and color coding
+ * - Scrollable log container with max height
+ * - Monospace font for log readability
+ */
+export { default as McpConnectionLogs } from './McpConnectionLogs.svelte';
+
+/**
+ * **McpServerForm** - Server URL and headers input form
+ *
+ * Reusable form for entering MCP server connection details.
+ * Used in both add new server and edit server flows.
+ *
+ * **Features:**
+ * - URL input with validation error display
+ * - Custom headers key-value pairs editor
+ * - Controlled component with change callbacks
+ *
+ * @example
+ * ```svelte
+ * <McpServerForm
+ *   url={serverUrl}
+ *   headers={serverHeaders}
+ *   onUrlChange={(v) => serverUrl = v}
+ *   onHeadersChange={(v) => serverHeaders = v}
+ *   urlError={validationError}
+ * />
+ * ```
+ */
+export { default as McpServerForm } from './McpServerForm.svelte';
+
+/**
+ * MCP protocol logo SVG component. Renders the official MCP icon
+ * with customizable size via class and style props.
+ */
+export { default as McpLogo } from './McpLogo.svelte';
+
+/**
+ *
+ * SERVER CARD
+ *
+ * Components for displaying individual MCP server status and controls.
+ * McpServerCard is the main component, with sub-components for specific sections.
+ *
+ */
+
+/**
+ * **McpServerCard** - Individual server display card
+ *
+ * Main component for displaying a single MCP server with all its details.
+ * Manages edit mode, delete confirmation, and health check actions.
+ *
+ * **Architecture:**
+ * - Composes header, tools list, logs, and actions sub-components
+ * - Manages local edit/delete state
+ * - Reads health state from mcpStore
+ * - Triggers health checks via mcpStore
+ *
+ * **Features:**
+ * - Server header with favicon, name, version, and toggle
+ * - Capabilities badges display
+ * - Tools list with descriptions
+ * - Connection logs viewer
+ * - Edit form for URL and headers
+ * - Delete confirmation dialog
+ * - Skeleton loading states
+ */
+export { default as McpServerCard } from './McpServerCard/McpServerCard.svelte';
+
+/** Server card header with favicon, name, version badge, and enable toggle. */
+export { default as McpServerCardHeader } from './McpServerCard/McpServerCardHeader.svelte';
+
+/** Action buttons row: edit, refresh, delete. */
+export { default as McpServerCardActions } from './McpServerCard/McpServerCardActions.svelte';
+
+/** Collapsible tools list showing available server tools with descriptions. */
+export { default as McpServerCardToolsList } from './McpServerCard/McpServerCardToolsList.svelte';
+
+/** Inline edit form for server URL and custom headers. */
+export { default as McpServerCardEditForm } from './McpServerCard/McpServerCardEditForm.svelte';
+
+/** Delete confirmation dialog with server name display. */
+export { default as McpServerCardDeleteDialog } from './McpServerCard/McpServerCardDeleteDialog.svelte';
+
+/** Skeleton loading state for server card during health checks. */
+export { default as McpServerCardSkeleton } from './McpServerCardSkeleton.svelte';
+
+/**
+ * **McpServerInfo** - Server instructions display
+ *
+ * Collapsible panel showing server-provided instructions.
+ * Displays guidance text from the MCP server for users.
+ */
+export { default as McpServerInfo } from './McpServerInfo.svelte';
+
+/**
+ * **McpResourceBrowser** - MCP resources tree browser
+ *
+ * Tree view component showing resources grouped by server.
+ * Supports resource selection and quick attach actions.
+ *
+ * **Features:**
+ * - Collapsible server sections
+ * - Resource icons based on MIME type
+ * - Resource selection highlighting
+ * - Quick attach button per resource
+ * - Refresh all resources action
+ * - Loading states per server
+ */
+export { default as McpResourceBrowser } from './McpResourceBrowser/McpResourceBrowser.svelte';
+
+/**
+ * **McpResourcePreview** - MCP resource content preview
+ *
+ * Preview panel showing resource content with metadata.
+ * Supports text and binary content display.
+ *
+ * **Features:**
+ * - Text content display with monospace formatting
+ * - Image preview for image MIME types
+ * - Copy to clipboard action
+ * - Download content action
+ * - Resource metadata display (MIME type, priority, server)
+ * - Loading and error states
+ */
+export { default as McpResourcePreview } from './McpResourcePreview.svelte';
+
+/**
+ * **McpResourceTemplateForm** - MCP resource template variable form
+ *
+ * Form for filling in resource template variables with auto-completion
+ * via the Completions API. Shows live URI preview as variables are filled.
+ *
+ * **Features:**
+ * - Template variable input fields
+ * - Completions API integration for variable auto-complete
+ * - Live URI preview as variables are filled
+ * - Read resolved resource action
+ */
+export { default as McpResourceTemplateForm } from './McpResourceTemplateForm.svelte';
diff --git a/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte b/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte
index e2095e08765..21412f47e5a 100644
--- a/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte
+++ b/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte
@@ -17,9 +17,13 @@
 	let { conversations, messageCountMap = new Map(), mode, onCancel, onConfirm }: Props = $props();
 
 	let searchQuery = $state('');
-	let selectedIds = $state.raw<SvelteSet<string>>(new SvelteSet(conversations.map((c) => c.id)));
+	let selectedIds = $state.raw<SvelteSet<string>>(getInitialSelectedIds());
 	let lastClickedId = $state<string | null>(null);
 
+	function getInitialSelectedIds(): SvelteSet<string> {
+		return new SvelteSet(conversations.map((c) => c.id));
+	}
+
 	let filteredConversations = $derived(
 		conversations.filter((conv) => {
 			const name = conv.name || 'Untitled conversation';
@@ -92,7 +96,7 @@
 	}
 
 	function handleCancel() {
-		selectedIds = new SvelteSet(conversations.map((c) => c.id));
+		selectedIds = getInitialSelectedIds();
 		searchQuery = '';
 		lastClickedId = null;
 
@@ -100,7 +104,7 @@
 	}
 
 	export function reset() {
-		selectedIds = new SvelteSet(conversations.map((c) => c.id));
+		selectedIds = getInitialSelectedIds();
 		searchQuery = '';
 		lastClickedId = null;
 	}
diff --git a/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte b/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte
new file mode 100644
index 00000000000..dc0621cecda
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte
@@ -0,0 +1,94 @@
+<script lang="ts">
+	import { ChevronLeft, ChevronRight } from '@lucide/svelte';
+	import type { Snippet } from 'svelte';
+
+	interface Props {
+		class?: string;
+		children?: Snippet;
+		gapSize?: string;
+		onScrollableChange?: (isScrollable: boolean) => void;
+	}
+
+	let { class: className = '', children, gapSize = '3', onScrollableChange }: Props = $props();
+
+	let canScrollLeft = $state(false);
+	let canScrollRight = $state(false);
+	let scrollContainer: HTMLDivElement | undefined = $state();
+
+	function scrollLeft(event?: MouseEvent) {
+		event?.stopPropagation();
+		event?.preventDefault();
+
+		if (!scrollContainer) return;
+
+		scrollContainer.scrollBy({ left: scrollContainer.clientWidth * -0.67, behavior: 'smooth' });
+	}
+
+	function scrollRight(event?: MouseEvent) {
+		event?.stopPropagation();
+		event?.preventDefault();
+
+		if (!scrollContainer) return;
+
+		scrollContainer.scrollBy({ left: scrollContainer.clientWidth * 0.67, behavior: 'smooth' });
+	}
+
+	function updateScrollButtons() {
+		if (!scrollContainer) return;
+
+		const { scrollLeft, scrollWidth, clientWidth } = scrollContainer;
+
+		canScrollLeft = scrollLeft > 0;
+		canScrollRight = scrollLeft < scrollWidth - clientWidth - 1;
+
+		const isScrollable = scrollWidth > clientWidth;
+		onScrollableChange?.(isScrollable);
+	}
+
+	export function resetScroll() {
+		if (scrollContainer) {
+			scrollContainer.scrollLeft = 0;
+			setTimeout(() => {
+				updateScrollButtons();
+			}, 0);
+		}
+	}
+
+	$effect(() => {
+		if (scrollContainer) {
+			setTimeout(() => {
+				updateScrollButtons();
+			}, 0);
+		}
+	});
+</script>
+
+<div class="relative {className}">
+	<button
+		class="absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 {canScrollLeft
+			? 'opacity-100'
+			: 'pointer-events-none opacity-0'}"
+		onclick={scrollLeft}
+		aria-label="Scroll left"
+	>
+		<ChevronLeft class="h-4 w-4" />
+	</button>
+
+	<div
+		class="scrollbar-hide flex items-start gap-{gapSize} overflow-x-auto"
+		bind:this={scrollContainer}
+		onscroll={updateScrollButtons}
+	>
+		{@render children?.()}
+	</div>
+
+	<button
+		class="absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 {canScrollRight
+			? 'opacity-100'
+			: 'pointer-events-none opacity-0'}"
+		onclick={scrollRight}
+		aria-label="Scroll right"
+	>
+		<ChevronRight class="h-4 w-4" />
+	</button>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte b/tools/server/webui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte
index 5b7522fe1b9..da55abda023 100644
--- a/tools/server/webui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte
+++ b/tools/server/webui/src/lib/components/app/misc/KeyboardShortcutInfo.svelte
@@ -11,7 +11,9 @@
 
 	let baseClasses =
 		'px-1 pointer-events-none inline-flex select-none items-center gap-0.5 font-sans text-md font-medium opacity-0 transition-opacity -my-1';
-	let variantClasses = variant === 'destructive' ? 'text-destructive' : 'text-muted-foreground';
+	let variantClasses = $derived(
+		variant === 'destructive' ? 'text-destructive' : 'text-muted-foreground'
+	);
 </script>
 
 <kbd class="{baseClasses} {variantClasses} {className}">
diff --git a/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte b/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte
new file mode 100644
index 00000000000..eecc5b1d634
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte
@@ -0,0 +1,49 @@
+<script lang="ts">
+	import * as Tooltip from '$lib/components/ui/tooltip';
+
+	interface Props {
+		text: string;
+		class?: string;
+		showTooltip?: boolean;
+	}
+
+	let { text, class: className = '', showTooltip = true }: Props = $props();
+
+	let textElement: HTMLSpanElement | undefined = $state();
+	let isTruncated = $state(false);
+
+	function checkTruncation() {
+		if (textElement) {
+			isTruncated = textElement.scrollWidth > textElement.clientWidth;
+		}
+	}
+
+	$effect(() => {
+		if (textElement) {
+			checkTruncation();
+
+			const observer = new ResizeObserver(checkTruncation);
+			observer.observe(textElement);
+
+			return () => observer.disconnect();
+		}
+	});
+</script>
+
+{#if isTruncated && showTooltip}
+	<Tooltip.Root>
+		<Tooltip.Trigger class={className}>
+			<span bind:this={textElement} class="block truncate">
+				{text}
+			</span>
+		</Tooltip.Trigger>
+
+		<Tooltip.Content class="z-[9999]">
+			<p>{text}</p>
+		</Tooltip.Content>
+	</Tooltip.Root>
+{:else}
+	<span bind:this={textElement} class="{className} block truncate">
+		{text}
+	</span>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/misc/index.ts b/tools/server/webui/src/lib/components/app/misc/index.ts
new file mode 100644
index 00000000000..02bd70b24f5
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/misc/index.ts
@@ -0,0 +1,45 @@
+/**
+ *
+ * MISC
+ *
+ * Miscellaneous utility components.
+ *
+ */
+
+/**
+ * **ConversationSelection** - Multi-select conversation picker
+ *
+ * List of conversations with checkboxes for multi-selection.
+ * Used in import/export dialogs for selecting conversations.
+ *
+ * **Features:**
+ * - Search/filter conversations by name
+ * - Select all / deselect all controls
+ * - Shift-click for range selection
+ * - Message count display per conversation
+ * - Mode-specific UI (export vs import)
+ */
+export { default as ConversationSelection } from './ConversationSelection.svelte';
+
+/**
+ * Horizontal scrollable carousel with navigation arrows.
+ * Used for displaying items in a horizontally scrollable container
+ * with left/right navigation buttons that appear on hover.
+ */
+export { default as HorizontalScrollCarousel } from './HorizontalScrollCarousel.svelte';
+
+/**
+ * **TruncatedText** - Text with ellipsis and tooltip
+ *
+ * Displays text with automatic truncation and full content in tooltip.
+ * Useful for long names or paths in constrained spaces.
+ */
+export { default as TruncatedText } from './TruncatedText.svelte';
+
+/**
+ * **KeyboardShortcutInfo** - Keyboard shortcut hint display
+ *
+ * Displays keyboard shortcut hints (e.g., "⌘ + Enter").
+ * Supports special keys like shift, cmd, and custom text.
+ */
+export { default as KeyboardShortcutInfo } from './KeyboardShortcutInfo.svelte';
diff --git a/tools/server/webui/src/lib/components/app/models/ModelBadge.svelte b/tools/server/webui/src/lib/components/app/models/ModelBadge.svelte
index bea1bf6e3f9..cc1d1848e4b 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelBadge.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelBadge.svelte
@@ -1,6 +1,7 @@
 <script lang="ts">
 	import { Package } from '@lucide/svelte';
-	import { BadgeInfo, CopyToClipboardIcon } from '$lib/components/app';
+	import { BadgeInfo, ActionIconCopyToClipboard } from '$lib/components/app';
+	import ModelId from './ModelId.svelte';
 	import { modelsStore } from '$lib/stores/models.svelte';
 	import { serverStore } from '$lib/stores/server.svelte';
 	import * as Tooltip from '$lib/components/ui/tooltip';
@@ -23,6 +24,7 @@
 
 	let model = $derived(modelProp || modelsStore.singleModelName);
 	let isModelMode = $derived(serverStore.isModelMode);
+	let shouldShow = $derived(model && (modelProp !== undefined || isModelMode));
 </script>
 
 {#snippet badgeContent()}
@@ -31,15 +33,17 @@
 			<Package class="h-3 w-3" />
 		{/snippet}
 
-		{model}
+		{#if model}
+			<ModelId modelId={model} />
+		{/if}
 
 		{#if showCopyIcon}
-			<CopyToClipboardIcon text={model || ''} ariaLabel="Copy model name" />
+			<ActionIconCopyToClipboard text={model || ''} ariaLabel="Copy model name" />
 		{/if}
 	</BadgeInfo>
 {/snippet}
 
-{#if model && isModelMode}
+{#if shouldShow}
 	{#if showTooltip}
 		<Tooltip.Root>
 			<Tooltip.Trigger>
diff --git a/tools/server/webui/src/lib/components/app/models/ModelId.svelte b/tools/server/webui/src/lib/components/app/models/ModelId.svelte
new file mode 100644
index 00000000000..9b25d05c13c
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/models/ModelId.svelte
@@ -0,0 +1,65 @@
+<script lang="ts">
+	import { ModelsService } from '$lib/services/models.service';
+	import { config } from '$lib/stores/settings.svelte';
+	import { TruncatedText } from '$lib/components/app';
+
+	interface Props {
+		modelId: string;
+		showOrgName?: boolean;
+		showRaw?: boolean;
+		aliases?: string[];
+		tags?: string[];
+		class?: string;
+	}
+
+	let {
+		modelId,
+		showOrgName = false,
+		showRaw = undefined,
+		aliases,
+		tags,
+		class: className = ''
+	}: Props = $props();
+
+	const badgeClass =
+		'inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25';
+	const tagBadgeClass =
+		'inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground';
+
+	let parsed = $derived(ModelsService.parseModelId(modelId));
+	let resolvedShowRaw = $derived(showRaw ?? (config().showRawModelNames as boolean) ?? false);
+</script>
+
+{#if resolvedShowRaw}
+	<TruncatedText class="font-medium {className}" showTooltip={false} text={modelId} />
+{:else}
+	<span class="flex min-w-0 flex-wrap items-center gap-1 {className}">
+		<span class="min-w-0 truncate font-medium">
+			{#if showOrgName && parsed.orgName}{parsed.orgName}/{/if}{parsed.modelName ?? modelId}
+		</span>
+
+		{#if parsed.params}
+			<span class={badgeClass}>
+				{parsed.params}{parsed.activatedParams ? `-${parsed.activatedParams}` : ''}
+			</span>
+		{/if}
+
+		{#if parsed.quantization}
+			<span class={badgeClass}>
+				{parsed.quantization}
+			</span>
+		{/if}
+
+		{#if aliases && aliases.length > 0}
+			{#each aliases as alias (alias)}
+				<span class={badgeClass}>{alias}</span>
+			{/each}
+		{/if}
+
+		{#if tags && tags.length > 0}
+			{#each tags as tag (tag)}
+				<span class={tagBadgeClass}>{tag}</span>
+			{/each}
+		{/if}
+	</span>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
index efc9cd4e2f8..a40501e2cce 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
@@ -1,8 +1,9 @@
 <script lang="ts">
-	import { onMount, tick } from 'svelte';
-	import { ChevronDown, EyeOff, Loader2, MicOff, Package, Power } from '@lucide/svelte';
+	import { onMount } from 'svelte';
+	import { SvelteMap } from 'svelte/reactivity';
+	import { ChevronDown, Loader2, Package } from '@lucide/svelte';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
 	import * as Tooltip from '$lib/components/ui/tooltip';
-	import * as Popover from '$lib/components/ui/popover';
 	import { cn } from '$lib/components/ui/utils';
 	import {
 		modelsStore,
@@ -10,161 +11,152 @@
 		modelsLoading,
 		modelsUpdating,
 		selectedModelId,
-		routerModels,
-		propsCacheVersion,
 		singleModelName
 	} from '$lib/stores/models.svelte';
-	import { usedModalities, conversationsStore } from '$lib/stores/conversations.svelte';
-	import { ServerModelStatus } from '$lib/enums';
+	import { KeyboardKey } from '$lib/enums';
 	import { isRouterMode } from '$lib/stores/server.svelte';
-	import { DialogModelInformation, SearchInput } from '$lib/components/app';
+	import {
+		DialogModelInformation,
+		DropdownMenuSearchable,
+		ModelId,
+		ModelsSelectorOption
+	} from '$lib/components/app';
 	import type { ModelOption } from '$lib/types/models';
 
 	interface Props {
 		class?: string;
 		currentModel?: string | null;
-		/** Callback when model changes. Return false to keep menu open (e.g., for validation failures) */
-		onModelChange?: (modelId: string, modelName: string) => Promise<boolean> | boolean | void;
 		disabled?: boolean;
 		forceForegroundText?: boolean;
-		/** When true, user's global selection takes priority over currentModel (for form selector) */
+		onModelChange?: (modelId: string, modelName: string) => Promise<boolean> | boolean | void;
 		useGlobalSelection?: boolean;
-		/**
-		 * When provided, only consider modalities from messages BEFORE this message.
-		 * Used for regeneration - allows selecting models that don't support modalities
-		 * used in later messages.
-		 */
-		upToMessageId?: string;
 	}
 
 	let {
 		class: className = '',
 		currentModel = null,
-		onModelChange,
 		disabled = false,
 		forceForegroundText = false,
-		useGlobalSelection = false,
-		upToMessageId
+		onModelChange,
+		useGlobalSelection = false
 	}: Props = $props();
 
-	let options = $derived(modelOptions());
+	let options = $derived(
+		modelOptions().filter((option) => {
+			const modelProps = modelsStore.getModelProps(option.model);
+
+			return modelProps?.webui !== false;
+		})
+	);
 	let loading = $derived(modelsLoading());
 	let updating = $derived(modelsUpdating());
 	let activeId = $derived(selectedModelId());
 	let isRouter = $derived(isRouterMode());
 	let serverModel = $derived(singleModelName());
 
-	// Reactive router models state - needed for proper reactivity of status checks
-	let currentRouterModels = $derived(routerModels());
-
-	let requiredModalities = $derived(
-		upToMessageId ? conversationsStore.getModalitiesUpToMessage(upToMessageId) : usedModalities()
-	);
-
-	function getModelStatus(modelId: string): ServerModelStatus | null {
-		const model = currentRouterModels.find((m) => m.id === modelId);
-		return (model?.status?.value as ServerModelStatus) ?? null;
-	}
-
-	/**
-	 * Checks if a model supports all modalities used in the conversation.
-	 * Returns true if the model can be selected, false if it should be disabled.
-	 */
-	function isModelCompatible(option: ModelOption): boolean {
-		void propsCacheVersion();
-
-		const modelModalities = modelsStore.getModelModalities(option.model);
+	let isHighlightedCurrentModelActive = $derived.by(() => {
+		if (!isRouter || !currentModel) return false;
 
-		if (!modelModalities) {
-			const status = getModelStatus(option.model);
+		const currentOption = options.find((option) => option.model === currentModel);
 
-			if (status === ServerModelStatus.LOADED) {
-				if (requiredModalities.vision || requiredModalities.audio) return false;
-			}
+		return currentOption ? currentOption.id === activeId : false;
+	});
 
-			return true;
-		}
+	let isCurrentModelInCache = $derived.by(() => {
+		if (!isRouter || !currentModel) return true;
 
-		if (requiredModalities.vision && !modelModalities.vision) return false;
-		if (requiredModalities.audio && !modelModalities.audio) return false;
+		return options.some((option) => option.model === currentModel);
+	});
 
-		return true;
-	}
+	let isLoadingModel = $state(false);
 
-	/**
-	 * Gets missing modalities for a model.
-	 * Returns object with vision/audio booleans indicating what's missing.
-	 */
-	function getMissingModalities(option: ModelOption): { vision: boolean; audio: boolean } | null {
-		void propsCacheVersion();
+	let searchTerm = $state('');
+	let highlightedIndex = $state<number>(-1);
 
-		const modelModalities = modelsStore.getModelModalities(option.model);
+	let filteredOptions: ModelOption[] = $derived.by(() => {
+		const term = searchTerm.trim().toLowerCase();
+		if (!term) return options;
+
+		return options.filter(
+			(option) =>
+				option.model.toLowerCase().includes(term) ||
+				option.name?.toLowerCase().includes(term) ||
+				option.aliases?.some((alias: string) => alias.toLowerCase().includes(term)) ||
+				option.tags?.some((tag: string) => tag.toLowerCase().includes(term))
+		);
+	});
 
-		if (!modelModalities) {
-			const status = getModelStatus(option.model);
+	let groupedFilteredOptions = $derived.by(() => {
+		const favIds = modelsStore.favouriteModelIds;
+		const result: {
+			orgName: string | null;
+			isFavouritesGroup: boolean;
+			isLoadedGroup: boolean;
+			items: { option: ModelOption; flatIndex: number }[];
+		}[] = [];
+
+		// Loaded models group (top)
+		const loadedItems: { option: ModelOption; flatIndex: number }[] = [];
+		for (let i = 0; i < filteredOptions.length; i++) {
+			if (modelsStore.isModelLoaded(filteredOptions[i].model)) {
+				loadedItems.push({ option: filteredOptions[i], flatIndex: i });
+			}
+		}
 
-			if (status === ServerModelStatus.LOADED) {
-				const missing = {
-					vision: requiredModalities.vision,
-					audio: requiredModalities.audio
-				};
+		if (loadedItems.length > 0) {
+			result.push({
+				orgName: null,
+				isFavouritesGroup: false,
+				isLoadedGroup: true,
+				items: loadedItems
+			});
+		}
 
-				if (missing.vision || missing.audio) return missing;
+		// Favourites group
+		const loadedModelIds = new Set(loadedItems.map((item) => item.option.model));
+		const favItems: { option: ModelOption; flatIndex: number }[] = [];
+		for (let i = 0; i < filteredOptions.length; i++) {
+			if (favIds.has(filteredOptions[i].model) && !loadedModelIds.has(filteredOptions[i].model)) {
+				favItems.push({ option: filteredOptions[i], flatIndex: i });
 			}
+		}
 
-			return null;
+		if (favItems.length > 0) {
+			result.push({
+				orgName: null,
+				isFavouritesGroup: true,
+				isLoadedGroup: false,
+				items: favItems
+			});
 		}
 
-		const missing = {
-			vision: requiredModalities.vision && !modelModalities.vision,
-			audio: requiredModalities.audio && !modelModalities.audio
-		};
+		// Org groups (excluding loaded and favourites)
+		const orgGroups = new SvelteMap<string, { option: ModelOption; flatIndex: number }[]>();
+		for (let i = 0; i < filteredOptions.length; i++) {
+			const option = filteredOptions[i];
 
-		if (!missing.vision && !missing.audio) return null;
+			if (loadedModelIds.has(option.model) || favIds.has(option.model)) continue;
 
-		return missing;
-	}
+			const orgName = option.parsedId?.orgName ?? null;
+			const key = orgName ?? '';
 
-	let isHighlightedCurrentModelActive = $derived(
-		!isRouter || !currentModel
-			? false
-			: (() => {
-					const currentOption = options.find((option) => option.model === currentModel);
+			if (!orgGroups.has(key)) orgGroups.set(key, []);
 
-					return currentOption ? currentOption.id === activeId : false;
-				})()
-	);
+			orgGroups.get(key)!.push({ option, flatIndex: i });
+		}
 
-	let isCurrentModelInCache = $derived(() => {
-		if (!isRouter || !currentModel) return true;
+		for (const [orgName, items] of orgGroups) {
+			result.push({
+				orgName: orgName || null,
+				isFavouritesGroup: false,
+				isLoadedGroup: false,
+				items
+			});
+		}
 
-		return options.some((option) => option.model === currentModel);
+		return result;
 	});
 
-	let searchTerm = $state('');
-	let searchInputRef = $state<HTMLInputElement | null>(null);
-	let highlightedIndex = $state<number>(-1);
-
-	let filteredOptions: ModelOption[] = $derived(
-		(() => {
-			const term = searchTerm.trim().toLowerCase();
-			if (!term) return options;
-
-			return options.filter(
-				(option) =>
-					option.model.toLowerCase().includes(term) || option.name?.toLowerCase().includes(term)
-			);
-		})()
-	);
-
-	// Get indices of compatible options for keyboard navigation
-	let compatibleIndices = $derived(
-		filteredOptions
-			.map((option, index) => (isModelCompatible(option) ? index : -1))
-			.filter((i) => i !== -1)
-	);
-
-	// Reset highlighted index when search term changes
 	$effect(() => {
 		void searchTerm;
 		highlightedIndex = -1;
@@ -179,8 +171,6 @@
 		});
 	});
 
-	// Handle changes to the model selector pop-down or the model dialog, depending on if the server is in
-	// router mode or not.
 	function handleOpenChange(open: boolean) {
 		if (loading || updating) return;
 
@@ -190,11 +180,6 @@
 				searchTerm = '';
 				highlightedIndex = -1;
 
-				// Focus search input after popover opens
-				tick().then(() => {
-					requestAnimationFrame(() => searchInputRef?.focus());
-				});
-
 				modelsStore.fetchRouterModels().then(() => {
 					modelsStore.fetchModalitiesForLoadedModels();
 				});
@@ -215,36 +200,35 @@
 	function handleSearchKeyDown(event: KeyboardEvent) {
 		if (event.isComposing) return;
 
-		if (event.key === 'ArrowDown') {
+		if (event.key === KeyboardKey.ARROW_DOWN) {
 			event.preventDefault();
-			if (compatibleIndices.length === 0) return;
 
-			const currentPos = compatibleIndices.indexOf(highlightedIndex);
-			if (currentPos === -1 || currentPos === compatibleIndices.length - 1) {
-				highlightedIndex = compatibleIndices[0];
+			if (filteredOptions.length === 0) return;
+
+			if (highlightedIndex === -1 || highlightedIndex === filteredOptions.length - 1) {
+				highlightedIndex = 0;
 			} else {
-				highlightedIndex = compatibleIndices[currentPos + 1];
+				highlightedIndex += 1;
 			}
-		} else if (event.key === 'ArrowUp') {
+		} else if (event.key === KeyboardKey.ARROW_UP) {
 			event.preventDefault();
-			if (compatibleIndices.length === 0) return;
 
-			const currentPos = compatibleIndices.indexOf(highlightedIndex);
-			if (currentPos === -1 || currentPos === 0) {
-				highlightedIndex = compatibleIndices[compatibleIndices.length - 1];
+			if (filteredOptions.length === 0) return;
+
+			if (highlightedIndex === -1 || highlightedIndex === 0) {
+				highlightedIndex = filteredOptions.length - 1;
 			} else {
-				highlightedIndex = compatibleIndices[currentPos - 1];
+				highlightedIndex -= 1;
 			}
-		} else if (event.key === 'Enter') {
+		} else if (event.key === KeyboardKey.ENTER) {
 			event.preventDefault();
+
 			if (highlightedIndex >= 0 && highlightedIndex < filteredOptions.length) {
 				const option = filteredOptions[highlightedIndex];
-				if (isModelCompatible(option)) {
-					handleSelect(option.id);
-				}
-			} else if (compatibleIndices.length > 0) {
-				// No selection - highlight first compatible option
-				highlightedIndex = compatibleIndices[0];
+
+				handleSelect(option.id);
+			} else if (filteredOptions.length > 0) {
+				highlightedIndex = 0;
 			}
 		}
 	}
@@ -256,31 +240,18 @@
 		let shouldCloseMenu = true;
 
 		if (onModelChange) {
-			// If callback provided, use it (for regenerate functionality)
 			const result = await onModelChange(option.id, option.model);
 
-			// If callback returns false, keep menu open (validation failed)
 			if (result === false) {
 				shouldCloseMenu = false;
 			}
 		} else {
-			// Update global selection
 			await modelsStore.selectModelById(option.id);
-
-			// Load the model if not already loaded (router mode)
-			if (isRouter && getModelStatus(option.model) !== ServerModelStatus.LOADED) {
-				try {
-					await modelsStore.loadModel(option.model);
-				} catch (error) {
-					console.error('Failed to load model:', error);
-				}
-			}
 		}
 
 		if (shouldCloseMenu) {
 			handleOpenChange(false);
 
-			// Focus the chat textarea after model selection
 			requestAnimationFrame(() => {
 				const textarea = document.querySelector<HTMLTextAreaElement>(
 					'[data-slot="chat-form"] textarea'
@@ -288,32 +259,39 @@
 				textarea?.focus();
 			});
 		}
+
+		if (!onModelChange && isRouter && !modelsStore.isModelLoaded(option.model)) {
+			isLoadingModel = true;
+			modelsStore
+				.loadModel(option.model)
+				.catch((error) => console.error('Failed to load model:', error))
+				.finally(() => (isLoadingModel = false));
+		}
 	}
 
 	function getDisplayOption(): ModelOption | undefined {
 		if (!isRouter) {
-			if (serverModel) {
+			const displayModel = serverModel || currentModel;
+			if (displayModel) {
 				return {
-					id: 'current',
-					model: serverModel,
-					name: serverModel.split('/').pop() || serverModel,
-					capabilities: [] // Empty array for single model mode
+					id: serverModel ? 'current' : 'offline-current',
+					model: displayModel,
+					name: displayModel.split('/').pop() || displayModel,
+					capabilities: []
 				};
 			}
 
 			return undefined;
 		}
 
-		// When useGlobalSelection is true (form selector), prioritize user selection
-		// Otherwise (message display), prioritize currentModel
 		if (useGlobalSelection && activeId) {
 			const selected = options.find((option) => option.id === activeId);
+
 			if (selected) return selected;
 		}
 
-		// Show currentModel (from message payload or conversation)
 		if (currentModel) {
-			if (!isCurrentModelInCache()) {
+			if (!isCurrentModelInCache) {
 				return {
 					id: 'not-in-cache',
 					model: currentModel,
@@ -325,12 +303,10 @@
 			return options.find((option) => option.model === currentModel);
 		}
 
-		// Fallback to user selection (for new chats before first message)
 		if (activeId) {
 			return options.find((option) => option.id === activeId);
 		}
 
-		// No selection - return undefined to show "Select model"
 		return undefined;
 	}
 </script>
@@ -339,191 +315,157 @@
 	{#if loading && options.length === 0 && isRouter}
 		<div class="flex items-center gap-2 text-xs text-muted-foreground">
 			<Loader2 class="h-3.5 w-3.5 animate-spin" />
+
 			Loading models…
 		</div>
 	{:else if options.length === 0 && isRouter}
-		<p class="text-xs text-muted-foreground">No models available.</p>
+		{#if currentModel}
+			<span
+				class={cn(
+					'inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground',
+					className
+				)}
+				style="max-width: min(calc(100cqw - 9rem), 20rem)"
+			>
+				<Package class="h-3.5 w-3.5" />
+
+				<ModelId modelId={currentModel} class="min-w-0" showOrgName />
+			</span>
+		{:else}
+			<p class="text-xs text-muted-foreground">No models available.</p>
+		{/if}
 	{:else}
 		{@const selectedOption = getDisplayOption()}
 
 		{#if isRouter}
-			<Popover.Root bind:open={isOpen} onOpenChange={handleOpenChange}>
-				<Popover.Trigger
-					class={cn(
-						`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-						!isCurrentModelInCache()
-							? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
-							: forceForegroundText
-								? 'text-foreground'
-								: isHighlightedCurrentModelActive
-									? 'text-foreground'
-									: 'text-muted-foreground',
-						isOpen ? 'text-foreground' : ''
-					)}
-					style="max-width: min(calc(100cqw - 6.5rem), 32rem)"
+			<DropdownMenu.Root bind:open={isOpen} onOpenChange={handleOpenChange}>
+				<DropdownMenu.Trigger
 					disabled={disabled || updating}
+					onclick={(e) => {
+						e.preventDefault();
+						e.stopPropagation();
+					}}
 				>
-					<Package class="h-3.5 w-3.5" />
-
-					<span class="truncate font-medium">
-						{selectedOption?.model || 'Select model'}
-					</span>
-
-					{#if updating}
-						<Loader2 class="h-3 w-3.5 animate-spin" />
-					{:else}
-						<ChevronDown class="h-3 w-3.5" />
-					{/if}
-				</Popover.Trigger>
-
-				<Popover.Content
-					class="group/popover-content w-96 max-w-[calc(100vw-2rem)] p-0"
+					<button
+						type="button"
+						class={cn(
+							`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
+							!isCurrentModelInCache
+								? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
+								: forceForegroundText
+									? 'text-foreground'
+									: isHighlightedCurrentModelActive
+										? 'text-foreground'
+										: 'text-muted-foreground',
+							isOpen ? 'text-foreground' : ''
+						)}
+						style="max-width: min(calc(100cqw - 9rem), 20rem)"
+						disabled={disabled || updating}
+					>
+						<Package class="h-3.5 w-3.5" />
+
+						{#if selectedOption}
+							<Tooltip.Root>
+								<Tooltip.Trigger class="min-w-0 overflow-hidden">
+									<ModelId modelId={selectedOption.model} class="min-w-0" showOrgName />
+								</Tooltip.Trigger>
+
+								<Tooltip.Content>
+									<p class="font-mono">{selectedOption.model}</p>
+								</Tooltip.Content>
+							</Tooltip.Root>
+						{:else}
+							<span class="min-w-0 font-medium">Select model</span>
+						{/if}
+
+						{#if updating || isLoadingModel}
+							<Loader2 class="h-3 w-3.5 animate-spin" />
+						{:else}
+							<ChevronDown class="h-3 w-3.5" />
+						{/if}
+					</button>
+				</DropdownMenu.Trigger>
+
+				<DropdownMenu.Content
 					align="end"
-					sideOffset={8}
-					collisionPadding={16}
+					class="w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]"
 				>
-					<div class="flex max-h-[50dvh] flex-col overflow-hidden">
-						<div
-							class="order-1 shrink-0 border-b p-4 group-data-[side=top]/popover-content:order-2 group-data-[side=top]/popover-content:border-t group-data-[side=top]/popover-content:border-b-0"
-						>
-							<SearchInput
-								id="model-search"
-								placeholder="Search models..."
-								bind:value={searchTerm}
-								bind:ref={searchInputRef}
-								onClose={() => handleOpenChange(false)}
-								onKeyDown={handleSearchKeyDown}
-							/>
-						</div>
-						<div
-							class="models-list order-2 min-h-0 flex-1 overflow-y-auto group-data-[side=top]/popover-content:order-1"
-						>
-							{#if !isCurrentModelInCache() && currentModel}
+					<DropdownMenuSearchable
+						bind:searchValue={searchTerm}
+						placeholder="Search models..."
+						onSearchKeyDown={handleSearchKeyDown}
+						emptyMessage="No models found."
+						isEmpty={filteredOptions.length === 0 && isCurrentModelInCache}
+					>
+						<div class="models-list">
+							{#if !isCurrentModelInCache && currentModel}
 								<!-- Show unavailable model as first option (disabled) -->
 								<button
 									type="button"
-									class="flex w-full cursor-not-allowed items-center bg-red-400/10 px-4 py-2 text-left text-sm text-red-400"
+									class="flex w-full cursor-not-allowed items-center bg-red-400/10 p-2 text-left text-sm text-red-400"
 									role="option"
 									aria-selected="true"
 									aria-disabled="true"
 									disabled
 								>
-									<span class="truncate">{selectedOption?.name || currentModel}</span>
+									<ModelId modelId={currentModel} class="flex-1" showOrgName />
+
 									<span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span>
 								</button>
-								<div class="my-1 h-px bg-border"></div>
 							{/if}
+
 							{#if filteredOptions.length === 0}
 								<p class="px-4 py-3 text-sm text-muted-foreground">No models found.</p>
 							{/if}
-							{#each filteredOptions as option, index (option.id)}
-								{@const status = getModelStatus(option.model)}
-								{@const isLoaded = status === ServerModelStatus.LOADED}
-								{@const isLoading = status === ServerModelStatus.LOADING}
-								{@const isSelected = currentModel === option.model || activeId === option.id}
-								{@const isCompatible = isModelCompatible(option)}
-								{@const isHighlighted = index === highlightedIndex}
-								{@const missingModalities = getMissingModalities(option)}
-
-								<div
-									class={cn(
-										'group flex w-full items-center gap-2 px-4 py-2 text-left text-sm transition focus:outline-none',
-										isCompatible
-											? 'cursor-pointer hover:bg-muted focus:bg-muted'
-											: 'cursor-not-allowed opacity-50',
-										isSelected || isHighlighted
-											? 'bg-accent text-accent-foreground'
-											: isCompatible
-												? 'hover:bg-accent hover:text-accent-foreground'
-												: '',
-										isLoaded ? 'text-popover-foreground' : 'text-muted-foreground'
-									)}
-									role="option"
-									aria-selected={isSelected || isHighlighted}
-									aria-disabled={!isCompatible}
-									tabindex={isCompatible ? 0 : -1}
-									onclick={() => isCompatible && handleSelect(option.id)}
-									onmouseenter={() => (highlightedIndex = index)}
-									onkeydown={(e) => {
-										if (isCompatible && (e.key === 'Enter' || e.key === ' ')) {
-											e.preventDefault();
-											handleSelect(option.id);
-										}
-									}}
-								>
-									<span class="min-w-0 flex-1 truncate">{option.model}</span>
-
-									{#if missingModalities}
-										<span class="flex shrink-0 items-center gap-1 text-muted-foreground/70">
-											{#if missingModalities.vision}
-												<Tooltip.Root>
-													<Tooltip.Trigger>
-														<EyeOff class="h-3.5 w-3.5" />
-													</Tooltip.Trigger>
-													<Tooltip.Content class="z-[9999]">
-														<p>No vision support</p>
-													</Tooltip.Content>
-												</Tooltip.Root>
-											{/if}
-											{#if missingModalities.audio}
-												<Tooltip.Root>
-													<Tooltip.Trigger>
-														<MicOff class="h-3.5 w-3.5" />
-													</Tooltip.Trigger>
-													<Tooltip.Content class="z-[9999]">
-														<p>No audio support</p>
-													</Tooltip.Content>
-												</Tooltip.Root>
-											{/if}
-										</span>
-									{/if}
-
-									{#if isLoading}
-										<Tooltip.Root>
-											<Tooltip.Trigger>
-												<Loader2 class="h-4 w-4 shrink-0 animate-spin text-muted-foreground" />
-											</Tooltip.Trigger>
-											<Tooltip.Content class="z-[9999]">
-												<p>Loading model...</p>
-											</Tooltip.Content>
-										</Tooltip.Root>
-									{:else if isLoaded}
-										<Tooltip.Root>
-											<Tooltip.Trigger>
-												<button
-													type="button"
-													class="relative ml-2 flex h-4 w-4 shrink-0 items-center justify-center"
-													onclick={(e) => {
-														e.stopPropagation();
-														modelsStore.unloadModel(option.model);
-													}}
-												>
-													<span
-														class="mr-2 h-2 w-2 rounded-full bg-green-500 transition-opacity group-hover:opacity-0"
-													></span>
-													<Power
-														class="absolute mr-2 h-4 w-4 text-red-500 opacity-0 transition-opacity group-hover:opacity-100 hover:text-red-600"
-													/>
-												</button>
-											</Tooltip.Trigger>
-											<Tooltip.Content class="z-[9999]">
-												<p>Unload model</p>
-											</Tooltip.Content>
-										</Tooltip.Root>
-									{:else}
-										<span class="mx-2 h-2 w-2 rounded-full bg-muted-foreground/50"></span>
-									{/if}
-								</div>
+
+							{#each groupedFilteredOptions as group (group.isLoadedGroup ? '__loaded__' : group.isFavouritesGroup ? '__favourites__' : group.orgName)}
+								{#if group.isLoadedGroup}
+									<p class="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none">
+										Loaded models
+									</p>
+								{:else if group.isFavouritesGroup}
+									<p class="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none">
+										Favourite models
+									</p>
+								{:else if group.orgName}
+									<p
+										class="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2"
+									>
+										{group.orgName}
+									</p>
+								{/if}
+
+								{#each group.items as { option, flatIndex } (group.isLoadedGroup ? `loaded-${option.id}` : group.isFavouritesGroup ? `fav-${option.id}` : option.id)}
+									{@const isSelected = currentModel === option.model || activeId === option.id}
+									{@const isHighlighted = flatIndex === highlightedIndex}
+									{@const isFav = modelsStore.favouriteModelIds.has(option.model)}
+
+									<ModelsSelectorOption
+										{option}
+										{isSelected}
+										{isHighlighted}
+										{isFav}
+										showOrgName={group.isFavouritesGroup || group.isLoadedGroup}
+										onSelect={handleSelect}
+										onMouseEnter={() => (highlightedIndex = flatIndex)}
+										onKeyDown={(e) => {
+											if (e.key === KeyboardKey.ENTER || e.key === KeyboardKey.SPACE) {
+												e.preventDefault();
+												handleSelect(option.id);
+											}
+										}}
+									/>
+								{/each}
 							{/each}
 						</div>
-					</div>
-				</Popover.Content>
-			</Popover.Root>
+					</DropdownMenuSearchable>
+				</DropdownMenu.Content>
+			</DropdownMenu.Root>
 		{:else}
 			<button
 				class={cn(
 					`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-					!isCurrentModelInCache()
+					!isCurrentModelInCache
 						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
 						: forceForegroundText
 							? 'text-foreground'
@@ -538,9 +480,17 @@
 			>
 				<Package class="h-3.5 w-3.5" />
 
-				<span class="truncate font-medium">
-					{selectedOption?.model}
-				</span>
+				{#if selectedOption}
+					<Tooltip.Root>
+						<Tooltip.Trigger class="min-w-0 overflow-hidden">
+							<ModelId modelId={selectedOption.model} class="min-w-0" showOrgName />
+						</Tooltip.Trigger>
+
+						<Tooltip.Content>
+							<p class="font-mono">{selectedOption.model}</p>
+						</Tooltip.Content>
+					</Tooltip.Root>
+				{/if}
 
 				{#if updating}
 					<Loader2 class="h-3 w-3.5 animate-spin" />
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
new file mode 100644
index 00000000000..d4239fb1a13
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
@@ -0,0 +1,143 @@
+<script lang="ts">
+	import { CircleAlert, Heart, HeartOff, Loader2, Power, PowerOff, RotateCw } from '@lucide/svelte';
+	import { cn } from '$lib/components/ui/utils';
+	import { ActionIcon, ModelId } from '$lib/components/app';
+	import type { ModelOption } from '$lib/types/models';
+	import { ServerModelStatus } from '$lib/enums';
+	import { modelsStore, routerModels } from '$lib/stores/models.svelte';
+
+	interface Props {
+		option: ModelOption;
+		isSelected: boolean;
+		isHighlighted: boolean;
+		isFav: boolean;
+		showOrgName?: boolean;
+		onSelect: (modelId: string) => void;
+		onMouseEnter: () => void;
+		onKeyDown: (e: KeyboardEvent) => void;
+	}
+
+	let {
+		option,
+		isSelected,
+		isHighlighted,
+		isFav,
+		showOrgName = false,
+		onSelect,
+		onMouseEnter,
+		onKeyDown
+	}: Props = $props();
+
+	let currentRouterModels = $derived(routerModels());
+	let serverStatus = $derived.by(() => {
+		const model = currentRouterModels.find((m) => m.id === option.model);
+		return (model?.status?.value as ServerModelStatus) ?? null;
+	});
+	let isOperationInProgress = $derived(modelsStore.isModelOperationInProgress(option.model));
+	let isFailed = $derived(serverStatus === ServerModelStatus.FAILED);
+	let isLoaded = $derived(serverStatus === ServerModelStatus.LOADED && !isOperationInProgress);
+	let isLoading = $derived(serverStatus === ServerModelStatus.LOADING || isOperationInProgress);
+</script>
+
+<div
+	class={cn(
+		'group flex w-full items-center gap-2 rounded-sm p-2 text-left text-sm transition focus:outline-none',
+		'cursor-pointer hover:bg-muted focus:bg-muted',
+		isSelected || isHighlighted
+			? 'bg-accent text-accent-foreground'
+			: 'hover:bg-accent hover:text-accent-foreground',
+		isLoaded ? 'text-popover-foreground' : 'text-muted-foreground'
+	)}
+	role="option"
+	aria-selected={isSelected || isHighlighted}
+	tabindex="0"
+	onclick={() => onSelect(option.id)}
+	onmouseenter={onMouseEnter}
+	onkeydown={onKeyDown}
+>
+	<ModelId
+		modelId={option.model}
+		{showOrgName}
+		aliases={option.aliases}
+		tags={option.tags}
+		class="flex-1"
+	/>
+
+	<div class="flex shrink-0 items-center gap-2.5">
+		<!-- svelte-ignore a11y_no_static_element_interactions -->
+		<!-- svelte-ignore a11y_click_events_have_key_events -->
+		<div
+			class="pointer-events-none flex w-4 items-center justify-center pl-2 opacity-0 group-hover:pointer-events-auto group-hover:opacity-100"
+			onclick={(e) => e.stopPropagation()}
+		>
+			{#if isFav}
+				<ActionIcon
+					iconSize="h-2.5 w-2.5"
+					icon={HeartOff}
+					tooltip="Remove from favourites"
+					class="h-3 w-3 hover:text-foreground"
+					onclick={() => modelsStore.toggleFavourite(option.model)}
+				/>
+			{:else}
+				<ActionIcon
+					iconSize="h-2.5 w-2.5"
+					icon={Heart}
+					tooltip="Add to favourites"
+					class="h-3 w-3 hover:text-foreground"
+					onclick={() => modelsStore.toggleFavourite(option.model)}
+				/>
+			{/if}
+		</div>
+		{#if isLoading}
+			<Loader2 class="h-4 w-4 animate-spin text-muted-foreground" />
+		{:else if isFailed}
+			<div class="flex w-4 items-center justify-center">
+				<CircleAlert class="h-3.5 w-3.5 text-red-500 group-hover:hidden" />
+
+				<!-- svelte-ignore a11y_no_static_element_interactions -->
+				<!-- svelte-ignore a11y_click_events_have_key_events -->
+				<div class="hidden group-hover:flex" onclick={(e) => e.stopPropagation()}>
+					<ActionIcon
+						iconSize="h-2.5 w-2.5"
+						icon={RotateCw}
+						tooltip="Retry loading model"
+						class="h-3 w-3 text-red-500 hover:text-foreground"
+						onclick={() => modelsStore.loadModel(option.model)}
+					/>
+				</div>
+			</div>
+		{:else if isLoaded}
+			<div class="flex w-4 items-center justify-center">
+				<span class="h-2 w-2 rounded-full bg-green-500 group-hover:hidden"></span>
+
+				<!-- svelte-ignore a11y_no_static_element_interactions -->
+				<!-- svelte-ignore a11y_click_events_have_key_events -->
+				<div class="hidden group-hover:flex" onclick={(e) => e.stopPropagation()}>
+					<ActionIcon
+						iconSize="h-2.5 w-2.5"
+						icon={PowerOff}
+						tooltip="Unload model"
+						class="h-3 w-3 text-red-500 hover:text-red-600"
+						onclick={() => modelsStore.unloadModel(option.model)}
+					/>
+				</div>
+			</div>
+		{:else}
+			<div class="flex w-4 items-center justify-center">
+				<span class="h-2 w-2 rounded-full bg-muted-foreground/50 group-hover:hidden"></span>
+
+				<!-- svelte-ignore a11y_no_static_element_interactions -->
+				<!-- svelte-ignore a11y_click_events_have_key_events -->
+				<div class="hidden group-hover:flex" onclick={(e) => e.stopPropagation()}>
+					<ActionIcon
+						iconSize="h-2.5 w-2.5"
+						icon={Power}
+						tooltip="Load model"
+						class="h-3 w-3"
+						onclick={() => modelsStore.loadModel(option.model)}
+					/>
+				</div>
+			</div>
+		{/if}
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
new file mode 100644
index 00000000000..6fdb3e39f3e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
@@ -0,0 +1,408 @@
+<script lang="ts">
+	import { onMount } from 'svelte';
+	import { SvelteMap } from 'svelte/reactivity';
+	import { ChevronDown, Loader2, Package } from '@lucide/svelte';
+	import * as Sheet from '$lib/components/ui/sheet';
+	import { cn } from '$lib/components/ui/utils';
+	import {
+		modelsStore,
+		modelOptions,
+		modelsLoading,
+		modelsUpdating,
+		selectedModelId,
+		singleModelName
+	} from '$lib/stores/models.svelte';
+	import { isRouterMode } from '$lib/stores/server.svelte';
+	import {
+		DialogModelInformation,
+		SearchInput,
+		TruncatedText,
+		ModelsSelectorOption
+	} from '$lib/components/app';
+	import type { ModelOption } from '$lib/types/models';
+
+	interface Props {
+		class?: string;
+		currentModel?: string | null;
+		/** Callback when model changes. Return false to keep menu open (e.g., for validation failures) */
+		onModelChange?: (modelId: string, modelName: string) => Promise<boolean> | boolean | void;
+		disabled?: boolean;
+		forceForegroundText?: boolean;
+		/** When true, user's global selection takes priority over currentModel (for form selector) */
+		useGlobalSelection?: boolean;
+	}
+
+	let {
+		class: className = '',
+		currentModel = null,
+		onModelChange,
+		disabled = false,
+		forceForegroundText = false,
+		useGlobalSelection = false
+	}: Props = $props();
+
+	let options = $derived(
+		modelOptions().filter((option) => {
+			const modelProps = modelsStore.getModelProps(option.model);
+			return modelProps?.webui !== false;
+		})
+	);
+	let loading = $derived(modelsLoading());
+	let updating = $derived(modelsUpdating());
+	let activeId = $derived(selectedModelId());
+	let isRouter = $derived(isRouterMode());
+	let serverModel = $derived(singleModelName());
+
+	let isLoadingModel = $state(false);
+
+	let isHighlightedCurrentModelActive = $derived(
+		!isRouter || !currentModel
+			? false
+			: (() => {
+					const currentOption = options.find((option) => option.model === currentModel);
+
+					return currentOption ? currentOption.id === activeId : false;
+				})()
+	);
+
+	let isCurrentModelInCache = $derived.by(() => {
+		if (!isRouter || !currentModel) return true;
+
+		return options.some((option) => option.model === currentModel);
+	});
+
+	let searchTerm = $state('');
+
+	let filteredOptions: ModelOption[] = $derived.by(() => {
+		const term = searchTerm.trim().toLowerCase();
+		if (!term) return options;
+
+		return options.filter(
+			(option) =>
+				option.model.toLowerCase().includes(term) ||
+				option.name?.toLowerCase().includes(term) ||
+				option.aliases?.some((alias: string) => alias.toLowerCase().includes(term)) ||
+				option.tags?.some((tag: string) => tag.toLowerCase().includes(term))
+		);
+	});
+
+	let groupedFilteredOptions = $derived.by(() => {
+		const favIds = modelsStore.favouriteModelIds;
+		const result: {
+			orgName: string | null;
+			isFavouritesGroup: boolean;
+			isLoadedGroup: boolean;
+			items: { option: ModelOption; flatIndex: number }[];
+		}[] = [];
+
+		// Loaded models group (top)
+		const loadedItems: { option: ModelOption; flatIndex: number }[] = [];
+		for (let i = 0; i < filteredOptions.length; i++) {
+			if (modelsStore.isModelLoaded(filteredOptions[i].model)) {
+				loadedItems.push({ option: filteredOptions[i], flatIndex: i });
+			}
+		}
+		if (loadedItems.length > 0) {
+			result.push({
+				orgName: null,
+				isFavouritesGroup: false,
+				isLoadedGroup: true,
+				items: loadedItems
+			});
+		}
+
+		// Favourites group
+		const loadedModelIds = new Set(loadedItems.map((item) => item.option.model));
+		const favItems: { option: ModelOption; flatIndex: number }[] = [];
+		for (let i = 0; i < filteredOptions.length; i++) {
+			if (favIds.has(filteredOptions[i].model) && !loadedModelIds.has(filteredOptions[i].model)) {
+				favItems.push({ option: filteredOptions[i], flatIndex: i });
+			}
+		}
+		if (favItems.length > 0) {
+			result.push({
+				orgName: null,
+				isFavouritesGroup: true,
+				isLoadedGroup: false,
+				items: favItems
+			});
+		}
+
+		// Org groups (excluding loaded and favourites)
+		const orgGroups = new SvelteMap<string, { option: ModelOption; flatIndex: number }[]>();
+		for (let i = 0; i < filteredOptions.length; i++) {
+			const option = filteredOptions[i];
+			if (loadedModelIds.has(option.model) || favIds.has(option.model)) continue;
+			const orgName = option.parsedId?.orgName ?? null;
+			const key = orgName ?? '';
+			if (!orgGroups.has(key)) orgGroups.set(key, []);
+			orgGroups.get(key)!.push({ option, flatIndex: i });
+		}
+		for (const [orgName, items] of orgGroups) {
+			result.push({
+				orgName: orgName || null,
+				isFavouritesGroup: false,
+				isLoadedGroup: false,
+				items
+			});
+		}
+
+		return result;
+	});
+
+	let sheetOpen = $state(false);
+	let showModelDialog = $state(false);
+
+	onMount(() => {
+		modelsStore.fetch().catch((error) => {
+			console.error('Unable to load models:', error);
+		});
+	});
+
+	function handleOpenChange(open: boolean) {
+		if (loading || updating) return;
+
+		if (isRouter) {
+			if (open) {
+				sheetOpen = true;
+				searchTerm = '';
+
+				modelsStore.fetchRouterModels().then(() => {
+					modelsStore.fetchModalitiesForLoadedModels();
+				});
+			} else {
+				sheetOpen = false;
+				searchTerm = '';
+			}
+		} else {
+			showModelDialog = open;
+		}
+	}
+
+	export function open() {
+		handleOpenChange(true);
+	}
+
+	function handleSheetOpenChange(open: boolean) {
+		if (!open) {
+			handleOpenChange(false);
+		}
+	}
+
+	async function handleSelect(modelId: string) {
+		const option = options.find((opt) => opt.id === modelId);
+		if (!option) return;
+
+		let shouldCloseMenu = true;
+
+		if (onModelChange) {
+			const result = await onModelChange(option.id, option.model);
+
+			if (result === false) {
+				shouldCloseMenu = false;
+			}
+		} else {
+			await modelsStore.selectModelById(option.id);
+		}
+
+		if (shouldCloseMenu) {
+			handleOpenChange(false);
+
+			requestAnimationFrame(() => {
+				const textarea = document.querySelector<HTMLTextAreaElement>(
+					'[data-slot="chat-form"] textarea'
+				);
+				textarea?.focus();
+			});
+		}
+
+		if (!onModelChange && isRouter && !modelsStore.isModelLoaded(option.model)) {
+			isLoadingModel = true;
+			modelsStore
+				.loadModel(option.model)
+				.catch((error) => console.error('Failed to load model:', error))
+				.finally(() => (isLoadingModel = false));
+		}
+	}
+
+	function getDisplayOption(): ModelOption | undefined {
+		if (!isRouter) {
+			if (serverModel) {
+				return {
+					id: 'current',
+					model: serverModel,
+					name: serverModel.split('/').pop() || serverModel,
+					capabilities: []
+				};
+			}
+
+			return undefined;
+		}
+
+		if (useGlobalSelection && activeId) {
+			const selected = options.find((option) => option.id === activeId);
+			if (selected) return selected;
+		}
+
+		if (currentModel) {
+			if (!isCurrentModelInCache) {
+				return {
+					id: 'not-in-cache',
+					model: currentModel,
+					name: currentModel.split('/').pop() || currentModel,
+					capabilities: []
+				};
+			}
+
+			return options.find((option) => option.model === currentModel);
+		}
+
+		if (activeId) {
+			return options.find((option) => option.id === activeId);
+		}
+
+		return undefined;
+	}
+</script>
+
+<div class={cn('relative inline-flex flex-col items-end gap-1', className)}>
+	{#if loading && options.length === 0 && isRouter}
+		<div class="flex items-center gap-2 text-xs text-muted-foreground">
+			<Loader2 class="h-3.5 w-3.5 animate-spin" />
+			Loading models…
+		</div>
+	{:else if options.length === 0 && isRouter}
+		<p class="text-xs text-muted-foreground">No models available.</p>
+	{:else}
+		{@const selectedOption = getDisplayOption()}
+
+		{#if isRouter}
+			<button
+				type="button"
+				class={cn(
+					`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
+					!isCurrentModelInCache
+						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
+						: forceForegroundText
+							? 'text-foreground'
+							: isHighlightedCurrentModelActive
+								? 'text-foreground'
+								: 'text-muted-foreground',
+					sheetOpen ? 'text-foreground' : ''
+				)}
+				style="max-width: min(calc(100cqw - 9rem), 20rem)"
+				disabled={disabled || updating}
+				onclick={() => handleOpenChange(true)}
+			>
+				<Package class="h-3.5 w-3.5" />
+
+				<TruncatedText text={selectedOption?.model || 'Select model'} class="min-w-0 font-medium" />
+
+				{#if updating || isLoadingModel}
+					<Loader2 class="h-3 w-3.5 animate-spin" />
+				{:else}
+					<ChevronDown class="h-3 w-3.5" />
+				{/if}
+			</button>
+
+			<Sheet.Root bind:open={sheetOpen} onOpenChange={handleSheetOpenChange}>
+				<Sheet.Content side="bottom" class="max-h-[85vh] gap-1">
+					<Sheet.Header>
+						<Sheet.Title>Select Model</Sheet.Title>
+
+						<Sheet.Description class="sr-only">
+							Choose a model to use for the conversation
+						</Sheet.Description>
+					</Sheet.Header>
+
+					<div class="flex flex-col gap-1 pb-4">
+						<div class="mb-3 px-4">
+							<SearchInput placeholder="Search models..." bind:value={searchTerm} />
+						</div>
+
+						<div class="max-h-[60vh] overflow-y-auto px-2">
+							{#if !isCurrentModelInCache && currentModel}
+								<button
+									type="button"
+									class="flex w-full cursor-not-allowed items-center rounded-md bg-red-400/10 px-3 py-2.5 text-left text-sm text-red-400"
+									disabled
+								>
+									<span class="min-w-0 flex-1 truncate">
+										{selectedOption?.name || currentModel}
+									</span>
+									<span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span>
+								</button>
+								<div class="my-1 h-px bg-border"></div>
+							{/if}
+
+							{#if filteredOptions.length === 0}
+								<p class="px-3 py-3 text-center text-sm text-muted-foreground">No models found.</p>
+							{/if}
+
+							{#each groupedFilteredOptions as group (group.isLoadedGroup ? '__loaded__' : group.isFavouritesGroup ? '__favourites__' : group.orgName)}
+								{#if group.isLoadedGroup}
+									<p class="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none">
+										Loaded models
+									</p>
+								{:else if group.isFavouritesGroup}
+									<p class="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none">
+										Favourite models
+									</p>
+								{:else if group.orgName}
+									<p
+										class="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2"
+									>
+										{group.orgName}
+									</p>
+								{/if}
+
+								{#each group.items as { option } (group.isLoadedGroup ? `loaded-${option.id}` : group.isFavouritesGroup ? `fav-${option.id}` : option.id)}
+									{@const isSelected = currentModel === option.model || activeId === option.id}
+									{@const isFav = modelsStore.favouriteModelIds.has(option.model)}
+									<ModelsSelectorOption
+										{option}
+										{isSelected}
+										isHighlighted={false}
+										{isFav}
+										showOrgName={group.isFavouritesGroup || group.isLoadedGroup}
+										onSelect={handleSelect}
+										onMouseEnter={() => {}}
+										onKeyDown={() => {}}
+									/>
+								{/each}
+							{/each}
+						</div>
+					</div>
+				</Sheet.Content>
+			</Sheet.Root>
+		{:else}
+			<button
+				class={cn(
+					`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
+					!isCurrentModelInCache
+						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
+						: forceForegroundText
+							? 'text-foreground'
+							: isHighlightedCurrentModelActive
+								? 'text-foreground'
+								: 'text-muted-foreground'
+				)}
+				style="max-width: min(calc(100cqw - 6.5rem), 32rem)"
+				onclick={() => handleOpenChange(true)}
+				disabled={disabled || updating}
+			>
+				<Package class="h-3.5 w-3.5" />
+
+				<TruncatedText text={selectedOption?.model || ''} class="min-w-0 font-medium" />
+
+				{#if updating}
+					<Loader2 class="h-3 w-3.5 animate-spin" />
+				{/if}
+			</button>
+		{/if}
+	{/if}
+</div>
+
+{#if showModelDialog && !isRouter}
+	<DialogModelInformation bind:open={showModelDialog} />
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/models/index.ts b/tools/server/webui/src/lib/components/app/models/index.ts
new file mode 100644
index 00000000000..4a32be1b9d6
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/models/index.ts
@@ -0,0 +1,84 @@
+/**
+ *
+ * MODELS
+ *
+ * Components for model selection and display. Supports two server modes:
+ * - **Single model mode**: Server runs with one model, selector shows model info
+ * - **Router mode**: Server runs with multiple models, selector enables switching
+ *
+ * Integrates with modelsStore for model data and serverStore for mode detection.
+ *
+ */
+
+/**
+ * **ModelsSelector** - Model selection dropdown
+ *
+ * Dropdown for selecting AI models with status indicators,
+ * search, and model information display. Adapts UI based on server mode.
+ *
+ * **Architecture:**
+ * - Uses DropdownMenuSearchable for model list
+ * - Integrates with modelsStore for model options and selection
+ * - Detects router vs single mode from serverStore
+ * - Opens DialogModelInformation for model details
+ *
+ * **Features:**
+ * - Searchable model list with keyboard navigation
+ * - Model status indicators (loading/ready/error/updating)
+ * - Model capabilities badges (vision, tools, etc.)
+ * - Current/active model highlighting
+ * - Model information dialog on info button click
+ * - Router mode: shows all available models with status
+ * - Single mode: shows current model name only
+ * - Loading/updating skeleton states
+ * - Global selection support for form integration
+ *
+ * @example
+ * ```svelte
+ * <ModelsSelector
+ *   currentModel={conversation.modelId}
+ *   onModelChange={(id, name) => updateModel(id)}
+ *   useGlobalSelection
+ * />
+ * ```
+ */
+export { default as ModelsSelector } from './ModelsSelector.svelte';
+
+/**
+ * **ModelsSelectorSheet** - Mobile model selection sheet
+ *
+ * Bottom sheet variant of ModelsSelector optimized for touch interaction
+ * on mobile devices. Same functionality as ModelsSelector but uses Sheet UI
+ * instead of DropdownMenu.
+ */
+export { default as ModelsSelectorSheet } from './ModelsSelectorSheet.svelte';
+
+/**
+ * **ModelBadge** - Model name display badge
+ *
+ * Compact badge showing current model name with package icon.
+ * Only visible in single model mode. Supports tooltip and copy functionality.
+ *
+ * **Architecture:**
+ * - Reads model name from modelsStore or prop
+ * - Checks server mode from serverStore
+ * - Uses BadgeInfo for consistent styling
+ *
+ * **Features:**
+ * - Optional copy to clipboard button
+ * - Optional tooltip with model details
+ * - Click handler for model info dialog
+ * - Only renders in model mode (not router)
+ *
+ * @example
+ * ```svelte
+ * <ModelBadge
+ *   onclick={() => showModelInfo = true}
+ *   showTooltip
+ *   showCopyIcon
+ * />
+ * ```
+ */
+export { default as ModelBadge } from './ModelBadge.svelte';
+export { default as ModelId } from './ModelId.svelte';
+export { default as ModelsSelectorOption } from './ModelsSelectorOption.svelte';
diff --git a/tools/server/webui/src/lib/components/app/misc/ActionDropdown.svelte b/tools/server/webui/src/lib/components/app/navigation/DropdownMenuActions.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/misc/ActionDropdown.svelte
rename to tools/server/webui/src/lib/components/app/navigation/DropdownMenuActions.svelte
diff --git a/tools/server/webui/src/lib/components/app/navigation/DropdownMenuSearchable.svelte b/tools/server/webui/src/lib/components/app/navigation/DropdownMenuSearchable.svelte
new file mode 100644
index 00000000000..3bd68d3bd6e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/navigation/DropdownMenuSearchable.svelte
@@ -0,0 +1,50 @@
+<script lang="ts">
+	import type { Snippet } from 'svelte';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import { SearchInput } from '$lib/components/app';
+
+	interface Props {
+		placeholder?: string;
+		searchValue?: string;
+		onSearchChange?: (value: string) => void;
+		onSearchKeyDown?: (event: KeyboardEvent) => void;
+		emptyMessage?: string;
+		isEmpty?: boolean;
+		children: Snippet;
+		footer?: Snippet;
+	}
+
+	let {
+		placeholder = 'Search...',
+		searchValue = $bindable(''),
+		onSearchChange,
+		onSearchKeyDown,
+		emptyMessage = 'No items found',
+		isEmpty = false,
+		children,
+		footer
+	}: Props = $props();
+</script>
+
+<div class="sticky top-0 z-10 mb-2 bg-popover p-1 pt-2">
+	<SearchInput
+		{placeholder}
+		bind:value={searchValue}
+		onInput={onSearchChange}
+		onKeyDown={onSearchKeyDown}
+	/>
+</div>
+
+<div class="overflow-y-auto">
+	{@render children()}
+
+	{#if isEmpty}
+		<div class="px-2 py-3 text-center text-sm text-muted-foreground">{emptyMessage}</div>
+	{/if}
+</div>
+
+{#if footer}
+	<DropdownMenu.Separator />
+
+	{@render footer()}
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/navigation/index.ts b/tools/server/webui/src/lib/components/app/navigation/index.ts
new file mode 100644
index 00000000000..051491b8667
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/navigation/index.ts
@@ -0,0 +1,65 @@
+/**
+ *
+ * NAVIGATION & MENUS
+ *
+ * Components for dropdown menus and action selection.
+ *
+ */
+
+/**
+ * **DropdownMenuSearchable** - Searchable content for dropdown menus
+ *
+ * Renders a search input with filtered content area, empty state, and optional footer.
+ * Designed to be injected into any dropdown container (DropdownMenu.Content,
+ * DropdownMenu.SubContent, etc.) without providing its own Root.
+ *
+ * **Features:**
+ * - Search/filter input
+ * - Keyboard navigation support
+ * - Custom content and footer via snippets
+ * - Empty state message
+ *
+ * @example
+ * ```svelte
+ * <DropdownMenu.Root>
+ *   <DropdownMenu.Trigger>...</DropdownMenu.Trigger>
+ *   <DropdownMenu.Content class="pt-0">
+ *     <DropdownMenuSearchable
+ *       bind:searchValue
+ *       placeholder="Search..."
+ *       isEmpty={filteredItems.length === 0}
+ *     >
+ *       {#each items as item}<Item {item} />{/each}
+ *     </DropdownMenuSearchable>
+ *   </DropdownMenu.Content>
+ * </DropdownMenu.Root>
+ * ```
+ */
+export { default as DropdownMenuSearchable } from './DropdownMenuSearchable.svelte';
+
+/**
+ * **DropdownMenuActions** - Multi-action dropdown menu
+ *
+ * Dropdown menu for multiple action options with icons and shortcuts.
+ * Supports destructive variants and keyboard shortcut hints.
+ *
+ * **Features:**
+ * - Configurable trigger icon with tooltip
+ * - Action items with icons and labels
+ * - Destructive variant styling
+ * - Keyboard shortcut display
+ * - Separator support between groups
+ *
+ * @example
+ * ```svelte
+ * <DropdownMenuActions
+ *   triggerIcon={MoreHorizontal}
+ *   triggerTooltip="More actions"
+ *   actions={[
+ *     { icon: Edit, label: 'Edit', onclick: handleEdit },
+ *     { icon: Trash, label: 'Delete', onclick: handleDelete, variant: 'destructive' }
+ *   ]}
+ * />
+ * ```
+ */
+export { default as DropdownMenuActions } from './DropdownMenuActions.svelte';
diff --git a/tools/server/webui/src/lib/components/app/server/ServerErrorSplash.svelte b/tools/server/webui/src/lib/components/app/server/ServerErrorSplash.svelte
index fa4c2842ccd..c7f52a7c58d 100644
--- a/tools/server/webui/src/lib/components/app/server/ServerErrorSplash.svelte
+++ b/tools/server/webui/src/lib/components/app/server/ServerErrorSplash.svelte
@@ -8,6 +8,7 @@
 	import { serverStore, serverLoading } from '$lib/stores/server.svelte';
 	import { config, settingsStore } from '$lib/stores/settings.svelte';
 	import { fade, fly, scale } from 'svelte/transition';
+	import { KeyboardKey } from '$lib/enums';
 
 	interface Props {
 		class?: string;
@@ -117,7 +118,7 @@
 	}
 
 	function handleApiKeyKeydown(event: KeyboardEvent) {
-		if (event.key === 'Enter') {
+		if (event.key === KeyboardKey.ENTER) {
 			handleSaveApiKey();
 		}
 	}
diff --git a/tools/server/webui/src/lib/components/app/server/ServerStatus.svelte b/tools/server/webui/src/lib/components/app/server/ServerStatus.svelte
index d9f6d4a32a4..86a962de123 100644
--- a/tools/server/webui/src/lib/components/app/server/ServerStatus.svelte
+++ b/tools/server/webui/src/lib/components/app/server/ServerStatus.svelte
@@ -48,7 +48,7 @@
 			{model || 'Unknown Model'}
 		</Badge>
 
-		{#if serverData.default_generation_settings.n_ctx}
+		{#if serverData?.default_generation_settings?.n_ctx}
 			<Badge variant="secondary" class="text-xs">
 				ctx: {serverData.default_generation_settings.n_ctx.toLocaleString()}
 			</Badge>
diff --git a/tools/server/webui/src/lib/components/app/server/index.ts b/tools/server/webui/src/lib/components/app/server/index.ts
new file mode 100644
index 00000000000..39ac5b482d2
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/server/index.ts
@@ -0,0 +1,80 @@
+/**
+ *
+ * SERVER
+ *
+ * Components for displaying server connection state and handling
+ * connection errors. Integrates with serverStore for state management.
+ *
+ */
+
+/**
+ * **ServerStatus** - Server connection status indicator
+ *
+ * Compact status display showing connection state, model name,
+ * and context size. Used in headers and loading screens.
+ *
+ * **Architecture:**
+ * - Reads state from serverStore (props, loading, error)
+ * - Displays model name from modelsStore
+ *
+ * **Features:**
+ * - Status dot: green (connected), yellow (connecting), red (error), gray (unknown)
+ * - Status text label
+ * - Model name badge with icon
+ * - Context size badge
+ * - Optional error action button
+ *
+ * @example
+ * ```svelte
+ * <ServerStatus showActions />
+ * ```
+ */
+export { default as ServerStatus } from './ServerStatus.svelte';
+
+/**
+ * **ServerErrorSplash** - Full-screen connection error display
+ *
+ * Blocking error screen shown when server connection fails.
+ * Provides retry options and API key input for authentication errors.
+ *
+ * **Architecture:**
+ * - Detects access denied errors for API key flow
+ * - Validates API key against server before saving
+ * - Integrates with settingsStore for API key persistence
+ *
+ * **Features:**
+ * - Error message display with icon
+ * - Retry connection button with loading state
+ * - API key input for authentication errors
+ * - API key validation with success/error feedback
+ * - Troubleshooting section with server start commands
+ * - Animated transitions for UI elements
+ *
+ * @example
+ * ```svelte
+ * <ServerErrorSplash
+ *   error={serverError}
+ *   onRetry={handleRetry}
+ *   showTroubleshooting
+ * />
+ * ```
+ */
+export { default as ServerErrorSplash } from './ServerErrorSplash.svelte';
+
+/**
+ * **ServerLoadingSplash** - Full-screen loading display
+ *
+ * Shown during initial server connection. Displays loading animation
+ * with ServerStatus component for real-time connection state.
+ *
+ * **Features:**
+ * - Animated server icon
+ * - Customizable loading message
+ * - Embedded ServerStatus for live updates
+ *
+ * @example
+ * ```svelte
+ * <ServerLoadingSplash message="Connecting to server..." />
+ * ```
+ */
+export { default as ServerLoadingSplash } from './ServerLoadingSplash.svelte';
diff --git a/tools/server/webui/src/lib/components/ui/badge/badge.svelte b/tools/server/webui/src/lib/components/ui/badge/badge.svelte
index 4d151454937..9fbf0b80a59 100644
--- a/tools/server/webui/src/lib/components/ui/badge/badge.svelte
+++ b/tools/server/webui/src/lib/components/ui/badge/badge.svelte
@@ -8,6 +8,8 @@
 				default: 'bg-primary text-primary-foreground [a&]:hover:bg-primary/90 border-transparent',
 				secondary:
 					'bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90 border-transparent',
+				tertiary:
+					'bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25 border-transparent',
 				destructive:
 					'bg-destructive [a&]:hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/70 border-transparent text-white',
 				outline: 'text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground'
@@ -42,7 +44,7 @@
 	bind:this={ref}
 	data-slot="badge"
 	{href}
-	class={cn(badgeVariants({ variant }), className)}
+	class={cn(badgeVariants({ variant }), className, 'backdrop-blur-sm')}
 	{...restProps}
 >
 	{@render children?.()}
diff --git a/tools/server/webui/src/lib/components/ui/button/button.svelte b/tools/server/webui/src/lib/components/ui/button/button.svelte
index d12c8de1477..5ced3eb9a0f 100644
--- a/tools/server/webui/src/lib/components/ui/button/button.svelte
+++ b/tools/server/webui/src/lib/components/ui/button/button.svelte
@@ -12,15 +12,18 @@
 					'bg-destructive shadow-xs hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white',
 				outline:
 					'bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:bg-input/30 dark:border-input dark:hover:bg-input/50 border',
-				secondary: 'bg-secondary text-secondary-foreground shadow-xs hover:bg-secondary/80',
-				ghost: 'hover:bg-accent hover:text-accent-foreground dark:hover:bg-accent/50',
+				secondary:
+					'dark:bg-secondary dark:text-secondary-foreground bg-background shadow-sm text-foreground hover:bg-muted-foreground/20',
+				ghost: 'hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm',
 				link: 'text-primary underline-offset-4 hover:underline'
 			},
 			size: {
 				default: 'h-9 px-4 py-2 has-[>svg]:px-3',
 				sm: 'h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5',
 				lg: 'h-10 rounded-md px-6 has-[>svg]:px-4',
-				icon: 'size-9'
+				'icon-lg': 'size-10',
+				icon: 'size-9',
+				'icon-sm': 'size-5 rounded-sm'
 			}
 		},
 		defaultVariants: {
diff --git a/tools/server/webui/src/lib/components/ui/card/card.svelte b/tools/server/webui/src/lib/components/ui/card/card.svelte
index c40d14309f9..d0a57d0c970 100644
--- a/tools/server/webui/src/lib/components/ui/card/card.svelte
+++ b/tools/server/webui/src/lib/components/ui/card/card.svelte
@@ -1,6 +1,7 @@
 <script lang="ts">
 	import type { HTMLAttributes } from 'svelte/elements';
 	import { cn, type WithElementRef } from '$lib/components/ui/utils';
+	import { BOX_BORDER } from '$lib/constants';
 
 	let {
 		ref = $bindable(null),
@@ -14,7 +15,8 @@
 	bind:this={ref}
 	data-slot="card"
 	class={cn(
-		'flex flex-col gap-6 rounded-xl border bg-card py-6 text-card-foreground shadow-sm',
+		'flex flex-col gap-6 rounded-xl bg-card py-6 text-card-foreground shadow-sm',
+		BOX_BORDER,
 		className
 	)}
 	{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte b/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte
index 869c38e848a..6013ca2661b 100644
--- a/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte
@@ -19,7 +19,7 @@
 		data-slot="dropdown-menu-content"
 		{sideOffset}
 		class={cn(
-			'z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20',
+			'z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20',
 			className
 		)}
 		{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/input/input.svelte b/tools/server/webui/src/lib/components/ui/input/input.svelte
index 889b720716e..2b6279b6420 100644
--- a/tools/server/webui/src/lib/components/ui/input/input.svelte
+++ b/tools/server/webui/src/lib/components/ui/input/input.svelte
@@ -44,6 +44,7 @@
 			'aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40',
 			className
 		)}
+		style="backdrop-filter: blur(0.5rem);"
 		{type}
 		bind:value
 		{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte b/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte
index f16a0e0d978..1eaa6d99ff4 100644
--- a/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte
@@ -1,7 +1,7 @@
 <script lang="ts" module>
 	import { tv, type VariantProps } from 'tailwind-variants';
 	export const sheetVariants = tv({
-		base: 'bg-background data-[state=open]:animate-in data-[state=closed]:animate-out fixed z-50 flex flex-col gap-4 shadow-lg transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500',
+		base: `border-border/30 dark:border-border/20 data-[state=open]:animate-in data-[state=closed]:animate-out fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 ${PANEL_CLASSES}`,
 		variants: {
 			side: {
 				top: 'data-[state=closed]:slide-out-to-top data-[state=open]:slide-in-from-top inset-x-0 top-0 h-auto border-b',
@@ -26,6 +26,7 @@
 	import type { Snippet } from 'svelte';
 	import SheetOverlay from './sheet-overlay.svelte';
 	import { cn, type WithoutChildrenOrChild } from '$lib/components/ui/utils.js';
+	import { PANEL_CLASSES } from '$lib/constants';
 
 	let {
 		ref = $bindable(null),
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte
index 29d3a9c43a3..b6ff373ffa5 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte
+++ b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte
@@ -1,6 +1,5 @@
 <script lang="ts">
 	import { Button } from '$lib/components/ui/button/index.js';
-	import { cn } from '$lib/components/ui/utils.js';
 	import PanelLeftIcon from '@lucide/svelte/icons/panel-left';
 	import type { ComponentProps } from 'svelte';
 	import { useSidebar } from './context.svelte.js';
@@ -21,8 +20,10 @@
 	data-sidebar="trigger"
 	data-slot="sidebar-trigger"
 	variant="ghost"
-	size="icon"
-	class={cn('size-7', className)}
+	size="icon-lg"
+	class="rounded-full backdrop-blur-lg {className} md:left-{sidebar.open
+		? 'unset'
+		: '2'} -top-2 -left-2 md:top-0"
 	type="button"
 	onclick={(e) => {
 		onclick?.(e);
diff --git a/tools/server/webui/src/lib/components/ui/switch/switch.svelte b/tools/server/webui/src/lib/components/ui/switch/switch.svelte
index 5a5975e137e..e0848790d3c 100644
--- a/tools/server/webui/src/lib/components/ui/switch/switch.svelte
+++ b/tools/server/webui/src/lib/components/ui/switch/switch.svelte
@@ -15,7 +15,7 @@
 	bind:checked
 	data-slot="switch"
 	class={cn(
-		'peer inline-flex h-[1.15rem] w-8 shrink-0 items-center rounded-full border border-transparent shadow-xs transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input dark:data-[state=unchecked]:bg-input/80',
+		'peer inline-flex h-[1.15rem] w-8 shrink-0 cursor-pointer items-center rounded-full border border-transparent shadow-xs transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input dark:data-[state=unchecked]:bg-input/80',
 		className
 	)}
 	{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte b/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte
index 72ea93a0101..011d492f3d8 100644
--- a/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte
@@ -9,22 +9,28 @@
 		side = 'top',
 		children,
 		arrowClasses,
+		noPortal = false,
 		...restProps
 	}: TooltipPrimitive.ContentProps & {
 		arrowClasses?: string;
+		noPortal?: boolean;
 	} = $props();
+
+	const contentClass = $derived(
+		cn(
+			'z-50 w-fit origin-(--bits-tooltip-content-transform-origin) animate-in rounded-md bg-primary px-3 py-1.5 text-xs text-balance text-primary-foreground fade-in-0 zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95',
+			className
+		)
+	);
 </script>
 
-<TooltipPrimitive.Portal>
+{#snippet tooltipContent()}
 	<TooltipPrimitive.Content
 		bind:ref
 		data-slot="tooltip-content"
 		{sideOffset}
 		{side}
-		class={cn(
-			'z-50 w-fit origin-(--bits-tooltip-content-transform-origin) animate-in rounded-md bg-primary px-3 py-1.5 text-xs text-balance text-primary-foreground fade-in-0 zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95',
-			className
-		)}
+		class={contentClass}
 		{...restProps}
 	>
 		{@render children?.()}
@@ -44,4 +50,12 @@
 			{/snippet}
 		</TooltipPrimitive.Arrow>
 	</TooltipPrimitive.Content>
-</TooltipPrimitive.Portal>
+{/snippet}
+
+{#if noPortal}
+	{@render tooltipContent()}
+{:else}
+	<TooltipPrimitive.Portal>
+		{@render tooltipContent()}
+	</TooltipPrimitive.Portal>
+{/if}
diff --git a/tools/server/webui/src/lib/constants/agentic.ts b/tools/server/webui/src/lib/constants/agentic.ts
new file mode 100644
index 00000000000..7ff9e4e5213
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/agentic.ts
@@ -0,0 +1,61 @@
+import type { AgenticConfig } from '$lib/types/agentic';
+
+export const ATTACHMENT_SAVED_REGEX = /\[Attachment saved: ([^\]]+)\]/;
+
+export const NEWLINE_SEPARATOR = '\n';
+
+export const TURN_LIMIT_MESSAGE = '\n\n```\nTurn limit reached\n```\n';
+
+export const LLM_ERROR_BLOCK_START = '\n\n```\nUpstream LLM error:\n';
+export const LLM_ERROR_BLOCK_END = '\n```\n';
+
+export const DEFAULT_AGENTIC_CONFIG: AgenticConfig = {
+	enabled: true,
+	maxTurns: 100,
+	maxToolPreviewLines: 25
+} as const;
+
+// Agentic tool call tag markers
+export const AGENTIC_TAGS = {
+	TOOL_CALL_START: '<<<AGENTIC_TOOL_CALL_START>>>',
+	TOOL_CALL_END: '<<<AGENTIC_TOOL_CALL_END>>>',
+	TOOL_NAME_PREFIX: '<<<TOOL_NAME:',
+	TOOL_ARGS_START: '<<<TOOL_ARGS_START>>>',
+	TOOL_ARGS_END: '<<<TOOL_ARGS_END>>>',
+	TAG_SUFFIX: '>>>'
+} as const;
+
+export const REASONING_TAGS = {
+	START: '<<<reasoning_content_start>>>',
+	END: '<<<reasoning_content_end>>>'
+} as const;
+
+// Regex for trimming leading/trailing newlines
+export const TRIM_NEWLINES_REGEX = /^\n+|\n+$/g;
+
+// Regex patterns for parsing agentic content
+export const AGENTIC_REGEX = {
+	// Matches completed tool calls (with END marker)
+	COMPLETED_TOOL_CALL:
+		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g,
+	// Matches pending tool call (has NAME and ARGS but no END)
+	PENDING_TOOL_CALL:
+		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*)$/,
+	// Matches partial tool call (has START and NAME, ARGS still streaming)
+	PARTIAL_WITH_NAME:
+		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*)$/,
+	// Matches early tool call (just START marker)
+	EARLY_MATCH: /<<<AGENTIC_TOOL_CALL_START>>>([\s\S]*)$/,
+	// Matches partial marker at end of content
+	PARTIAL_MARKER: /<<<[A-Za-z_]*$/,
+	// Matches reasoning content blocks (including tags)
+	REASONING_BLOCK: /<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g,
+	// Matches an opening reasoning tag and any remaining content (unterminated)
+	REASONING_OPEN: /<<<reasoning_content_start>>>[\s\S]*$/,
+	// Matches a complete agentic tool call display block (start to end marker)
+	AGENTIC_TOOL_CALL_BLOCK: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*?<<<AGENTIC_TOOL_CALL_END>>>/g,
+	// Matches a pending/partial agentic tool call (start marker with no matching end)
+	AGENTIC_TOOL_CALL_OPEN: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/,
+	// Matches tool name inside content
+	TOOL_NAME_EXTRACT: /<<<TOOL_NAME:([^>]+)>>>/
+} as const;
diff --git a/tools/server/webui/src/lib/constants/api-endpoints.ts b/tools/server/webui/src/lib/constants/api-endpoints.ts
new file mode 100644
index 00000000000..aa7ca3a22a2
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/api-endpoints.ts
@@ -0,0 +1,8 @@
+export const API_MODELS = {
+	LIST: '/v1/models',
+	LOAD: '/models/load',
+	UNLOAD: '/models/unload'
+};
+
+/** CORS proxy endpoint path */
+export const CORS_PROXY_ENDPOINT = '/cors-proxy';
diff --git a/tools/server/webui/src/lib/constants/attachment-labels.ts b/tools/server/webui/src/lib/constants/attachment-labels.ts
new file mode 100644
index 00000000000..be9999c0f9e
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/attachment-labels.ts
@@ -0,0 +1,4 @@
+export const ATTACHMENT_LABEL_FILE = 'File';
+export const ATTACHMENT_LABEL_PDF_FILE = 'PDF File';
+export const ATTACHMENT_LABEL_MCP_PROMPT = 'MCP Prompt';
+export const ATTACHMENT_LABEL_MCP_RESOURCE = 'MCP Resource';
diff --git a/tools/server/webui/src/lib/constants/binary-detection.ts b/tools/server/webui/src/lib/constants/binary-detection.ts
index a4440fde5d4..21a95cc8837 100644
--- a/tools/server/webui/src/lib/constants/binary-detection.ts
+++ b/tools/server/webui/src/lib/constants/binary-detection.ts
@@ -1,11 +1,4 @@
-export interface BinaryDetectionOptions {
-	/** Number of characters to check from the beginning of the file */
-	prefixLength: number;
-	/** Maximum ratio of suspicious characters allowed (0.0 to 1.0) */
-	suspiciousCharThresholdRatio: number;
-	/** Maximum absolute number of null bytes allowed */
-	maxAbsoluteNullBytes: number;
-}
+import type { BinaryDetectionOptions } from '$lib/types';
 
 export const DEFAULT_BINARY_DETECTION_OPTIONS: BinaryDetectionOptions = {
 	prefixLength: 1024 * 10, // Check the first 10KB of the string
diff --git a/tools/server/webui/src/lib/constants/cache.ts b/tools/server/webui/src/lib/constants/cache.ts
new file mode 100644
index 00000000000..07fe8683414
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/cache.ts
@@ -0,0 +1,54 @@
+/**
+ * Cache configuration constants
+ */
+
+/**
+ * Default TTL (Time-To-Live) for cache entries in milliseconds
+ * @default 5 minutes
+ */
+export const DEFAULT_CACHE_TTL_MS = 5 * 60 * 1000;
+
+/**
+ * Default maximum number of entries in a cache
+ * @default 100
+ */
+export const DEFAULT_CACHE_MAX_ENTRIES = 100;
+
+/**
+ * TTL for model props cache in milliseconds
+ * Props don't change frequently, so we can cache them longer
+ * @default 10 minutes
+ */
+export const MODEL_PROPS_CACHE_TTL_MS = 10 * 60 * 1000;
+
+/**
+ * Maximum number of model props to cache
+ * @default 50
+ */
+export const MODEL_PROPS_CACHE_MAX_ENTRIES = 50;
+
+/**
+ * Maximum number of MCP resources to cache
+ * @default 50
+ */
+export const MCP_RESOURCE_CACHE_MAX_ENTRIES = 50;
+
+/**
+ * TTL for MCP resource cache entries in milliseconds
+ * @default 5 minutes
+ */
+export const MCP_RESOURCE_CACHE_TTL_MS = 5 * 60 * 1000;
+
+/**
+ * Maximum number of inactive conversation states to keep in memory
+ * States for conversations beyond this limit will be cleaned up
+ * @default 10
+ */
+export const MAX_INACTIVE_CONVERSATION_STATES = 10;
+
+/**
+ * Maximum age (in ms) for inactive conversation states before cleanup
+ * States older than this will be removed during cleanup
+ * @default 30 minutes
+ */
+export const INACTIVE_CONVERSATION_STATE_MAX_AGE_MS = 30 * 60 * 1000;
diff --git a/tools/server/webui/src/lib/constants/chat-form.ts b/tools/server/webui/src/lib/constants/chat-form.ts
new file mode 100644
index 00000000000..68b4d0b9051
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/chat-form.ts
@@ -0,0 +1,5 @@
+export const INITIAL_FILE_SIZE = 0;
+export const PROMPT_CONTENT_SEPARATOR = '\n\n';
+export const CLIPBOARD_CONTENT_QUOTE_PREFIX = '"';
+export const PROMPT_TRIGGER_PREFIX = '/';
+export const RESOURCE_TRIGGER_PREFIX = '@';
diff --git a/tools/server/webui/src/lib/constants/code-blocks.ts b/tools/server/webui/src/lib/constants/code-blocks.ts
new file mode 100644
index 00000000000..0f7265104d9
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/code-blocks.ts
@@ -0,0 +1,8 @@
+export const CODE_BLOCK_SCROLL_CONTAINER_CLASS = 'code-block-scroll-container';
+export const CODE_BLOCK_WRAPPER_CLASS = 'code-block-wrapper';
+export const CODE_BLOCK_HEADER_CLASS = 'code-block-header';
+export const CODE_BLOCK_ACTIONS_CLASS = 'code-block-actions';
+export const CODE_LANGUAGE_CLASS = 'code-language';
+export const COPY_CODE_BTN_CLASS = 'copy-code-btn';
+export const PREVIEW_CODE_BTN_CLASS = 'preview-code-btn';
+export const RELATIVE_CLASS = 'relative';
diff --git a/tools/server/webui/src/lib/constants/code.ts b/tools/server/webui/src/lib/constants/code.ts
new file mode 100644
index 00000000000..12bcd0db779
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/code.ts
@@ -0,0 +1,7 @@
+export const NEWLINE = '\n';
+export const DEFAULT_LANGUAGE = 'text';
+export const LANG_PATTERN = /^(\w*)\n?/;
+export const AMPERSAND_REGEX = /&/g;
+export const LT_REGEX = /</g;
+export const GT_REGEX = />/g;
+export const FENCE_PATTERN = /^```|\n```/g;
diff --git a/tools/server/webui/src/lib/constants/css-classes.ts b/tools/server/webui/src/lib/constants/css-classes.ts
new file mode 100644
index 00000000000..ca5386fcdf0
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/css-classes.ts
@@ -0,0 +1,19 @@
+export const BOX_BORDER =
+	'border border-border/30 focus-within:border-border  dark:border-border/20 dark:focus-within:border-border';
+
+export const INPUT_CLASSES = `
+    bg-muted/60 dark:bg-muted/75
+    ${BOX_BORDER}
+    shadow-sm
+    outline-none
+    text-foreground
+`;
+
+export const PANEL_CLASSES = `
+    bg-background
+    border border-border/30 dark:border-border/20
+    shadow-sm backdrop-blur-lg!
+    rounded-t-lg!
+`;
+
+export const CHAT_FORM_POPOVER_MAX_HEIGHT = 'max-h-80';
diff --git a/tools/server/webui/src/lib/constants/default-context.ts b/tools/server/webui/src/lib/constants/default-context.ts
deleted file mode 100644
index 78f31116e36..00000000000
--- a/tools/server/webui/src/lib/constants/default-context.ts
+++ /dev/null
@@ -1 +0,0 @@
-export const DEFAULT_CONTEXT = 4096;
diff --git a/tools/server/webui/src/lib/constants/favicon.ts b/tools/server/webui/src/lib/constants/favicon.ts
new file mode 100644
index 00000000000..880e1f74463
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/favicon.ts
@@ -0,0 +1,4 @@
+export const GOOGLE_FAVICON_BASE_URL = 'https://www.google.com/s2/favicons';
+export const DEFAULT_FAVICON_SIZE = 32;
+export const DOMAIN_SEPARATOR = '.';
+export const ROOT_DOMAIN_MIN_PARTS = 2;
diff --git a/tools/server/webui/src/lib/constants/formatters.ts b/tools/server/webui/src/lib/constants/formatters.ts
new file mode 100644
index 00000000000..d6d1b883ffe
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/formatters.ts
@@ -0,0 +1,8 @@
+export const MS_PER_SECOND = 1000;
+export const SECONDS_PER_MINUTE = 60;
+export const SECONDS_PER_HOUR = 3600;
+export const SHORT_DURATION_THRESHOLD = 1;
+export const MEDIUM_DURATION_THRESHOLD = 10;
+
+/** Default display value when no performance time is available */
+export const DEFAULT_PERFORMANCE_TIME = '0s';
diff --git a/tools/server/webui/src/lib/constants/index.ts b/tools/server/webui/src/lib/constants/index.ts
new file mode 100644
index 00000000000..41c117df543
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/index.ts
@@ -0,0 +1,39 @@
+// Central constants export file
+// All constants should be imported from '$lib/constants'
+
+export * from './agentic';
+export * from './api-endpoints';
+export * from './attachment-labels';
+export * from './auto-scroll';
+export * from './binary-detection';
+export * from './cache';
+export * from './chat-form';
+export * from './code-blocks';
+export * from './code';
+export * from './css-classes';
+export * from './favicon';
+export * from './floating-ui-constraints';
+export * from './formatters';
+export * from './key-value-pairs';
+export * from './icons';
+export * from './latex-protection';
+export * from './literal-html';
+export * from './localstorage-keys';
+export * from './markdown';
+export * from './max-bundle-size';
+export * from './mcp';
+export * from './mcp-form';
+export * from './mcp-resource';
+export * from './model-id';
+export * from './precision';
+export * from './processing-info';
+export * from './settings-config';
+export * from './settings-fields';
+export * from './settings-keys';
+export * from './settings-sections';
+export * from './supported-file-types';
+export * from './table-html-restorer';
+export * from './tooltip-config';
+export * from './ui';
+export * from './uri-template';
+export * from './viewport';
diff --git a/tools/server/webui/src/lib/constants/input-classes.ts b/tools/server/webui/src/lib/constants/input-classes.ts
deleted file mode 100644
index a541cfc5538..00000000000
--- a/tools/server/webui/src/lib/constants/input-classes.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export const INPUT_CLASSES = `
-    bg-muted/70 dark:bg-muted/85
-    border border-border/30 focus-within:border-border  dark:border-border/20 dark:focus-within:border-border
-    outline-none
-    text-foreground
-`;
diff --git a/tools/server/webui/src/lib/constants/key-value-pairs.ts b/tools/server/webui/src/lib/constants/key-value-pairs.ts
new file mode 100644
index 00000000000..48dadbec431
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/key-value-pairs.ts
@@ -0,0 +1,20 @@
+/**
+ * Key-value pair form constraints and sanitization patterns.
+ *
+ * Both regexes target characters dangerous in HTTP-header / env-var contexts:
+ *   \x00        – null byte (injection)
+ *   \x0A (\n)   – LF  (HTTP header injection / response splitting)
+ *   \x0D (\r)   – CR  (HTTP header injection / response splitting)
+ *   \x01–\x08, \x0B–\x0C, \x0E–\x1F, \x7F – other C0/DEL control chars
+ *
+ * KEY_UNSAFE_RE additionally strips TAB (\x09); values keep TAB because it is
+ * a valid header-value continuation character per RFC 7230.
+ */
+
+export const KEY_VALUE_PAIR_KEY_MAX_LENGTH = 256;
+export const KEY_VALUE_PAIR_VALUE_MAX_LENGTH = 8192;
+
+// eslint-disable-next-line no-control-regex
+export const KEY_VALUE_PAIR_UNSAFE_KEY_RE = /[\x00-\x1F\x7F]/g;
+// eslint-disable-next-line no-control-regex
+export const KEY_VALUE_PAIR_UNSAFE_VALUE_RE = /[\x00-\x08\x0A-\x0D\x0E-\x1F\x7F]/g;
diff --git a/tools/server/webui/src/lib/constants/localstorage-keys.ts b/tools/server/webui/src/lib/constants/localstorage-keys.ts
index 919b6ea06d3..6b9a9e0e2f8 100644
--- a/tools/server/webui/src/lib/constants/localstorage-keys.ts
+++ b/tools/server/webui/src/lib/constants/localstorage-keys.ts
@@ -1,2 +1,3 @@
 export const CONFIG_LOCALSTORAGE_KEY = 'LlamaCppWebui.config';
 export const USER_OVERRIDES_LOCALSTORAGE_KEY = 'LlamaCppWebui.userOverrides';
+export const FAVOURITE_MODELS_LOCALSTORAGE_KEY = 'LlamaCppWebui.favouriteModels';
diff --git a/tools/server/webui/src/lib/constants/markdown.ts b/tools/server/webui/src/lib/constants/markdown.ts
new file mode 100644
index 00000000000..783d31a22c1
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/markdown.ts
@@ -0,0 +1,4 @@
+export const IMAGE_NOT_ERROR_BOUND_SELECTOR = 'img:not([data-error-bound])';
+export const DATA_ERROR_BOUND_ATTR = 'errorBound';
+export const DATA_ERROR_HANDLED_ATTR = 'errorHandled';
+export const BOOL_TRUE_STRING = 'true';
diff --git a/tools/server/webui/src/lib/constants/mcp-form.ts b/tools/server/webui/src/lib/constants/mcp-form.ts
new file mode 100644
index 00000000000..7a1ccffb03f
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/mcp-form.ts
@@ -0,0 +1,2 @@
+export const MCP_SERVER_URL_PLACEHOLDER = 'https://mcp.example.com/sse';
+export const MIN_AUTOCOMPLETE_INPUT_LENGTH = 1;
diff --git a/tools/server/webui/src/lib/constants/mcp-resource.ts b/tools/server/webui/src/lib/constants/mcp-resource.ts
new file mode 100644
index 00000000000..44419012d16
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/mcp-resource.ts
@@ -0,0 +1,55 @@
+import { MimeTypeImage } from '$lib/enums';
+
+// File extension patterns for resource type detection
+export const IMAGE_FILE_EXTENSION_REGEX = /\.(png|jpg|jpeg|gif|svg|webp)$/i;
+export const CODE_FILE_EXTENSION_REGEX =
+	/\.(js|ts|json|yaml|yml|xml|html|css|py|rs|go|java|cpp|c|h|rb|sh|toml)$/i;
+export const TEXT_FILE_EXTENSION_REGEX = /\.(txt|md|log)$/i;
+
+// URI protocol prefix pattern
+export const PROTOCOL_PREFIX_REGEX = /^[a-z]+:\/\//;
+
+// File extension regex for display name extraction
+export const FILE_EXTENSION_REGEX = /\.[^.]+$/;
+
+// Separator regex for splitting display names (kebab-case/snake_case)
+export const DISPLAY_NAME_SEPARATOR_REGEX = /[-_]/;
+
+// Regex for matching base64-encoded data URIs
+export const DATA_URI_BASE64_REGEX = /^data:([^;]+);base64,([A-Za-z0-9+/]+=*)$/;
+
+// Prefix for MCP attachment filenames
+export const MCP_ATTACHMENT_NAME_PREFIX = 'mcp-attachment';
+
+// Prefix for MCP resource attachment IDs
+export const MCP_RESOURCE_ATTACHMENT_ID_PREFIX = 'res';
+
+// Default file extension for unknown image types
+export const DEFAULT_IMAGE_EXTENSION = 'img';
+
+// Default filename for resource content downloads
+export const DEFAULT_RESOURCE_FILENAME = 'resource.txt';
+
+// Path separator for resource URI parsing
+export const PATH_SEPARATOR = '/';
+
+// Separator for joining text content from multiple resource parts
+export const RESOURCE_TEXT_CONTENT_SEPARATOR = '\n\n';
+
+// Fallback text for unknown content types
+export const RESOURCE_UNKNOWN_TYPE = 'unknown type';
+
+// Label prefix for binary blob content
+export const BINARY_CONTENT_LABEL = 'Binary content';
+
+/**
+ * Mapping from image MIME types to file extensions.
+ * Used for generating attachment filenames from MIME types.
+ */
+export const IMAGE_MIME_TO_EXTENSION: Record<string, string> = {
+	[MimeTypeImage.JPEG]: 'jpg',
+	[MimeTypeImage.JPG]: 'jpg',
+	[MimeTypeImage.PNG]: 'png',
+	[MimeTypeImage.GIF]: 'gif',
+	[MimeTypeImage.WEBP]: 'webp'
+} as const;
diff --git a/tools/server/webui/src/lib/constants/mcp.ts b/tools/server/webui/src/lib/constants/mcp.ts
new file mode 100644
index 00000000000..8f10b15e16c
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/mcp.ts
@@ -0,0 +1,63 @@
+import { Zap, Globe, Radio } from '@lucide/svelte';
+import { MCPTransportType } from '$lib/enums';
+import type { ClientCapabilities, Implementation } from '$lib/types';
+import type { Component } from 'svelte';
+import { MimeTypeImage } from '$lib/enums/files';
+
+export const DEFAULT_CLIENT_VERSION = '1.0.0';
+export const DEFAULT_IMAGE_MIME_TYPE = MimeTypeImage.PNG;
+
+/** MIME types considered safe for rendering MCP server icons */
+export const MCP_ALLOWED_ICON_MIME_TYPES = new Set([
+	MimeTypeImage.PNG,
+	MimeTypeImage.JPEG,
+	MimeTypeImage.JPG,
+	MimeTypeImage.SVG,
+	MimeTypeImage.WEBP
+]);
+
+/**
+ * MCP specification version this client targets.
+ * Update when the upstream MCP spec introduces a new stable version:
+ * https://spec.modelcontextprotocol.io/
+ */
+export const MCP_PROTOCOL_VERSION = '2025-06-18';
+
+export const DEFAULT_MCP_CONFIG = {
+	protocolVersion: MCP_PROTOCOL_VERSION,
+	capabilities: { tools: { listChanged: true } } as ClientCapabilities,
+	clientInfo: { name: 'llama-webui-mcp', version: DEFAULT_CLIENT_VERSION } as Implementation,
+	requestTimeoutSeconds: 300, // 5 minutes for long-running tools
+	connectionTimeoutMs: 10_000 // 10 seconds for connection establishment
+} as const;
+
+export const MCP_SERVER_ID_PREFIX = 'LlamaCpp-WebUI-MCP-Server';
+
+export const MCP_RECONNECT_INITIAL_DELAY = 1000;
+export const MCP_RECONNECT_BACKOFF_MULTIPLIER = 2;
+export const MCP_RECONNECT_MAX_DELAY = 30000;
+/** Per-attempt timeout for a single reconnection attempt before giving up and backing off. */
+export const MCP_RECONNECT_ATTEMPT_TIMEOUT_MS = 15_000;
+
+/** Maximum number of MCP server avatars to display in the chat form */
+export const MAX_DISPLAYED_MCP_AVATARS = 3;
+
+/** Expected count when two theme-less icons represent a light/dark pair */
+export const EXPECTED_THEMED_ICON_PAIR_COUNT = 2;
+
+/** CORS proxy URL query parameter name */
+export const CORS_PROXY_URL_PARAM = 'url';
+
+/** Human-readable labels for MCP transport types */
+export const MCP_TRANSPORT_LABELS: Record<MCPTransportType, string> = {
+	[MCPTransportType.WEBSOCKET]: 'WebSocket',
+	[MCPTransportType.STREAMABLE_HTTP]: 'HTTP',
+	[MCPTransportType.SSE]: 'SSE'
+};
+
+/** Icon components for MCP transport types */
+export const MCP_TRANSPORT_ICONS: Record<MCPTransportType, Component> = {
+	[MCPTransportType.WEBSOCKET]: Zap,
+	[MCPTransportType.STREAMABLE_HTTP]: Globe,
+	[MCPTransportType.SSE]: Radio
+};
diff --git a/tools/server/webui/src/lib/constants/model-id.ts b/tools/server/webui/src/lib/constants/model-id.ts
new file mode 100644
index 00000000000..eb6662a02da
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/model-id.ts
@@ -0,0 +1,28 @@
+/** Sentinel value returned by `indexOf` when a substring is not found. */
+export const MODEL_ID_NOT_FOUND = -1;
+
+/** Separates `<org>` from `<model>` in a model ID, e.g. `org/ModelName`. */
+export const MODEL_ID_ORG_SEPARATOR = '/';
+
+/** Separates named segments within the model path, e.g. `ModelName-7B-GGUF`. */
+export const MODEL_ID_SEGMENT_SEPARATOR = '-';
+
+/** Separates the model path from the quantization tag, e.g. `model:Q4_K_M`. */
+export const MODEL_ID_QUANTIZATION_SEPARATOR = ':';
+
+/**
+ * Matches a trailing ALL-CAPS format segment, e.g. `GGUF`, `BF16`, `Q4_K_M`.
+ * Must be at least 2 uppercase letters, optionally followed by uppercase letters or digits.
+ */
+export const MODEL_FORMAT_SEGMENT_RE = /^[A-Z]{2,}[A-Z0-9]*$/;
+
+/**
+ * Matches a parameter-count segment, e.g. `7B`, `1.5b`, `120M`.
+ */
+export const MODEL_PARAMS_RE = /^\d+(\.\d+)?[BbMmKkTt]$/;
+
+/**
+ * Matches an activated-parameter-count segment, e.g. `A10B`, `A2.4b`.
+ * The leading `A` distinguishes it from a regular params segment.
+ */
+export const MODEL_ACTIVATED_PARAMS_RE = /^A\d+(\.\d+)?[BbMmKkTt]$/;
diff --git a/tools/server/webui/src/lib/constants/processing-info.ts b/tools/server/webui/src/lib/constants/processing-info.ts
index 726439211b3..2c3f7dc5344 100644
--- a/tools/server/webui/src/lib/constants/processing-info.ts
+++ b/tools/server/webui/src/lib/constants/processing-info.ts
@@ -1 +1,8 @@
 export const PROCESSING_INFO_TIMEOUT = 2000;
+
+/**
+ * Statistics units labels
+ */
+export const STATS_UNITS = {
+	TOKENS_PER_SECOND: 't/s'
+} as const;
diff --git a/tools/server/webui/src/lib/constants/settings-config.ts b/tools/server/webui/src/lib/constants/settings-config.ts
index cac48a557c7..e76fa89e9a3 100644
--- a/tools/server/webui/src/lib/constants/settings-config.ts
+++ b/tools/server/webui/src/lib/constants/settings-config.ts
@@ -1,13 +1,16 @@
+import { ColorMode } from '$lib/enums/ui';
+import { Monitor, Moon, Sun } from '@lucide/svelte';
+
 export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean> = {
 	// Note: in order not to introduce breaking changes, please keep the same data type (number, string, etc) if you want to change the default value. Do not use null or undefined for default value.
 	// Do not use nested objects, keep it single level. Prefix the key if you need to group them.
 	apiKey: '',
 	systemMessage: '',
 	showSystemMessage: true,
-	theme: 'system',
+	theme: ColorMode.SYSTEM,
 	showThoughtInProgress: false,
-	showToolCalls: false,
-	disableReasoningFormat: false,
+	disableReasoningParsing: false,
+	showRawOutputSwitch: false,
 	keepStatsVisible: false,
 	showMessageStats: true,
 	askForTitleConfirmation: false,
@@ -19,6 +22,14 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean> =
 	alwaysShowSidebarOnDesktop: false,
 	autoShowSidebarOnNewChat: true,
 	autoMicOnEmpty: false,
+	fullHeightCodeBlocks: false,
+	showRawModelNames: false,
+	mcpServers: '[]',
+	mcpServerUsageStats: '{}', // JSON object: { [serverId]: usageCount }
+	agenticMaxTurns: 10,
+	agenticMaxToolPreviewLines: 25,
+	showToolCallInProgress: false,
+	alwaysShowAgenticTurns: false,
 	// make sure these default values are in sync with `common.h`
 	samplers: 'top_k;typ_p;top_p;min_p;temperature',
 	backend_sampling: false,
@@ -90,10 +101,10 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 	max_tokens: 'The maximum number of token per output. Use -1 for infinite (no limit).',
 	custom: 'Custom JSON parameters to send to the API. Must be valid JSON format.',
 	showThoughtInProgress: 'Expand thought process by default when generating messages.',
-	showToolCalls:
-		'Display tool call labels and payloads from Harmony-compatible delta.tool_calls data below assistant messages.',
-	disableReasoningFormat:
-		'Show raw LLM output without backend parsing and frontend Markdown rendering to inspect streaming across different models.',
+	disableReasoningParsing:
+		'Send reasoning_format=none to prevent server-side extraction of reasoning tokens into separate field',
+	showRawOutputSwitch:
+		'Show toggle button to display messages as plain text instead of Markdown-formatted content',
 	keepStatsVisible: 'Keep processing statistics visible after generation finishes.',
 	showMessageStats:
 		'Display generation statistics (tokens/second, token count, duration) below each assistant message.',
@@ -110,8 +121,28 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.',
 	autoMicOnEmpty:
 		'Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.',
+	fullHeightCodeBlocks:
+		'Always display code blocks at their full natural height, overriding any height limits.',
+	showRawModelNames:
+		'Display full raw model identifiers (e.g. "unsloth/Qwen3.5-27B-GGUF:BF16") instead of parsed names with badges.',
+	mcpServers:
+		'Configure MCP servers as a JSON list. Use the form in the MCP Client settings section to edit.',
+	mcpServerUsageStats:
+		'Usage statistics for MCP servers. Tracks how many times tools from each server have been used.',
+	agenticMaxTurns:
+		'Maximum number of tool execution cycles before stopping (prevents infinite loops).',
+	agenticMaxToolPreviewLines:
+		'Number of lines shown in tool output previews (last N lines). Only these previews and the final LLM response persist after the agentic loop completes.',
+	showToolCallInProgress:
+		'Automatically expand tool call details while executing and keep them expanded after completion.',
 	pyInterpreterEnabled:
 		'Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.',
 	enableContinueGeneration:
 		'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'
 };
+
+export const SETTINGS_COLOR_MODES_CONFIG = [
+	{ value: ColorMode.SYSTEM, label: 'System', icon: Monitor },
+	{ value: ColorMode.LIGHT, label: 'Light', icon: Sun },
+	{ value: ColorMode.DARK, label: 'Dark', icon: Moon }
+];
diff --git a/tools/server/webui/src/lib/constants/settings-fields.ts b/tools/server/webui/src/lib/constants/settings-fields.ts
new file mode 100644
index 00000000000..79a6e928708
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/settings-fields.ts
@@ -0,0 +1,33 @@
+/**
+ * List of all numeric fields in settings configuration.
+ * These fields will be converted from strings to numbers during save.
+ */
+export const NUMERIC_FIELDS = [
+	'temperature',
+	'top_k',
+	'top_p',
+	'min_p',
+	'max_tokens',
+	'pasteLongTextToFileLen',
+	'dynatemp_range',
+	'dynatemp_exponent',
+	'typ_p',
+	'xtc_probability',
+	'xtc_threshold',
+	'repeat_last_n',
+	'repeat_penalty',
+	'presence_penalty',
+	'frequency_penalty',
+	'dry_multiplier',
+	'dry_base',
+	'dry_allowed_length',
+	'dry_penalty_last_n',
+	'agenticMaxTurns',
+	'agenticMaxToolPreviewLines'
+] as const;
+
+/**
+ * Fields that must be positive integers (>= 1).
+ * These will be clamped to minimum 1 and rounded during save.
+ */
+export const POSITIVE_INTEGER_FIELDS = ['agenticMaxTurns', 'agenticMaxToolPreviewLines'] as const;
diff --git a/tools/server/webui/src/lib/constants/settings-keys.ts b/tools/server/webui/src/lib/constants/settings-keys.ts
new file mode 100644
index 00000000000..12091035781
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/settings-keys.ts
@@ -0,0 +1,59 @@
+/**
+ * Settings key constants for ChatSettings configuration.
+ *
+ * These keys correspond to properties in SettingsConfigType and are used
+ * in settings field configurations to ensure consistency.
+ */
+export const SETTINGS_KEYS = {
+	// General
+	THEME: 'theme',
+	API_KEY: 'apiKey',
+	SYSTEM_MESSAGE: 'systemMessage',
+	PASTE_LONG_TEXT_TO_FILE_LEN: 'pasteLongTextToFileLen',
+	COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT: 'copyTextAttachmentsAsPlainText',
+	ENABLE_CONTINUE_GENERATION: 'enableContinueGeneration',
+	PDF_AS_IMAGE: 'pdfAsImage',
+	ASK_FOR_TITLE_CONFIRMATION: 'askForTitleConfirmation',
+	// Display
+	SHOW_MESSAGE_STATS: 'showMessageStats',
+	SHOW_THOUGHT_IN_PROGRESS: 'showThoughtInProgress',
+	KEEP_STATS_VISIBLE: 'keepStatsVisible',
+	AUTO_MIC_ON_EMPTY: 'autoMicOnEmpty',
+	RENDER_USER_CONTENT_AS_MARKDOWN: 'renderUserContentAsMarkdown',
+	DISABLE_AUTO_SCROLL: 'disableAutoScroll',
+	ALWAYS_SHOW_SIDEBAR_ON_DESKTOP: 'alwaysShowSidebarOnDesktop',
+	AUTO_SHOW_SIDEBAR_ON_NEW_CHAT: 'autoShowSidebarOnNewChat',
+	FULL_HEIGHT_CODE_BLOCKS: 'fullHeightCodeBlocks',
+	SHOW_RAW_MODEL_NAMES: 'showRawModelNames',
+	// Sampling
+	TEMPERATURE: 'temperature',
+	DYNATEMP_RANGE: 'dynatemp_range',
+	DYNATEMP_EXPONENT: 'dynatemp_exponent',
+	TOP_K: 'top_k',
+	TOP_P: 'top_p',
+	MIN_P: 'min_p',
+	XTC_PROBABILITY: 'xtc_probability',
+	XTC_THRESHOLD: 'xtc_threshold',
+	TYP_P: 'typ_p',
+	MAX_TOKENS: 'max_tokens',
+	SAMPLERS: 'samplers',
+	BACKEND_SAMPLING: 'backend_sampling',
+	// Penalties
+	REPEAT_LAST_N: 'repeat_last_n',
+	REPEAT_PENALTY: 'repeat_penalty',
+	PRESENCE_PENALTY: 'presence_penalty',
+	FREQUENCY_PENALTY: 'frequency_penalty',
+	DRY_MULTIPLIER: 'dry_multiplier',
+	DRY_BASE: 'dry_base',
+	DRY_ALLOWED_LENGTH: 'dry_allowed_length',
+	DRY_PENALTY_LAST_N: 'dry_penalty_last_n',
+	// MCP
+	AGENTIC_MAX_TURNS: 'agenticMaxTurns',
+	ALWAYS_SHOW_AGENTIC_TURNS: 'alwaysShowAgenticTurns',
+	AGENTIC_MAX_TOOL_PREVIEW_LINES: 'agenticMaxToolPreviewLines',
+	SHOW_TOOL_CALL_IN_PROGRESS: 'showToolCallInProgress',
+	// Developer
+	DISABLE_REASONING_PARSING: 'disableReasoningParsing',
+	SHOW_RAW_OUTPUT_SWITCH: 'showRawOutputSwitch',
+	CUSTOM: 'custom'
+} as const;
diff --git a/tools/server/webui/src/lib/constants/settings-sections.ts b/tools/server/webui/src/lib/constants/settings-sections.ts
new file mode 100644
index 00000000000..a2d960d4040
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/settings-sections.ts
@@ -0,0 +1,19 @@
+/**
+ * Settings section titles constants for ChatSettings component.
+ *
+ * These titles define the navigation sections in the settings dialog.
+ * Used for both sidebar navigation and mobile horizontal scroll menu.
+ */
+export const SETTINGS_SECTION_TITLES = {
+	GENERAL: 'General',
+	DISPLAY: 'Display',
+	SAMPLING: 'Sampling',
+	PENALTIES: 'Penalties',
+	IMPORT_EXPORT: 'Import/Export',
+	MCP: 'MCP',
+	DEVELOPER: 'Developer'
+} as const;
+
+/** Type for settings section titles */
+export type SettingsSectionTitle =
+	(typeof SETTINGS_SECTION_TITLES)[keyof typeof SETTINGS_SECTION_TITLES];
diff --git a/tools/server/webui/src/lib/constants/tooltip-config.ts b/tools/server/webui/src/lib/constants/tooltip-config.ts
index 3c30c8c0725..ad76ab35226 100644
--- a/tools/server/webui/src/lib/constants/tooltip-config.ts
+++ b/tools/server/webui/src/lib/constants/tooltip-config.ts
@@ -1 +1 @@
-export const TOOLTIP_DELAY_DURATION = 100;
+export const TOOLTIP_DELAY_DURATION = 500;
diff --git a/tools/server/webui/src/lib/constants/ui.ts b/tools/server/webui/src/lib/constants/ui.ts
new file mode 100644
index 00000000000..a75b30f2f8a
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/ui.ts
@@ -0,0 +1 @@
+export const SYSTEM_MESSAGE_PLACEHOLDER = 'System message';
diff --git a/tools/server/webui/src/lib/constants/uri-template.ts b/tools/server/webui/src/lib/constants/uri-template.ts
new file mode 100644
index 00000000000..dc834aca27a
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/uri-template.ts
@@ -0,0 +1,57 @@
+/**
+ * URI Template constants for RFC 6570 template processing.
+ */
+
+/** URI scheme separator */
+export const URI_SCHEME_SEPARATOR = '://';
+
+/** Regex to match template expressions like {var}, {+var}, {#var}, {/var} */
+export const TEMPLATE_EXPRESSION_REGEX = /\{([+#./;?&]?)([^}]+)\}/g;
+
+/** RFC 6570 URI template operators */
+export const URI_TEMPLATE_OPERATORS = {
+	/** Simple string expansion (default) */
+	SIMPLE: '',
+	/** Reserved expansion */
+	RESERVED: '+',
+	/** Fragment expansion */
+	FRAGMENT: '#',
+	/** Path segment expansion */
+	PATH_SEGMENT: '/',
+	/** Label expansion */
+	LABEL: '.',
+	/** Path-style parameters */
+	PATH_PARAM: ';',
+	/** Form-style query */
+	FORM_QUERY: '?',
+	/** Form-style query continuation */
+	FORM_CONTINUATION: '&'
+} as const;
+
+/** URI template separators used in expansion */
+export const URI_TEMPLATE_SEPARATORS = {
+	/** Comma separator for list expansion */
+	COMMA: ',',
+	/** Slash separator for path segments */
+	SLASH: '/',
+	/** Period separator for label expansion */
+	PERIOD: '.',
+	/** Semicolon separator for path parameters */
+	SEMICOLON: ';',
+	/** Question mark prefix for query string */
+	QUERY_PREFIX: '?',
+	/** Ampersand prefix for query continuation */
+	QUERY_CONTINUATION: '&'
+} as const;
+
+/** Maximum number of leading slashes to strip during URI normalization */
+export const MAX_LEADING_SLASHES_TO_STRIP = 3;
+
+/** Regex to strip explode modifier (*) from variable names */
+export const VARIABLE_EXPLODE_MODIFIER_REGEX = /[*]$/;
+
+/** Regex to strip prefix modifier (:N) from variable names */
+export const VARIABLE_PREFIX_MODIFIER_REGEX = /:[\d]+$/;
+
+/** Regex to strip one or more leading slashes */
+export const LEADING_SLASHES_REGEX = /^\/+/;
diff --git a/tools/server/webui/src/lib/contexts/chat-actions.context.ts b/tools/server/webui/src/lib/contexts/chat-actions.context.ts
new file mode 100644
index 00000000000..eba0fec027e
--- /dev/null
+++ b/tools/server/webui/src/lib/contexts/chat-actions.context.ts
@@ -0,0 +1,34 @@
+import { getContext, setContext } from 'svelte';
+
+export interface ChatActionsContext {
+	copy: (message: DatabaseMessage) => void;
+	delete: (message: DatabaseMessage) => void;
+	navigateToSibling: (siblingId: string) => void;
+	editWithBranching: (
+		message: DatabaseMessage,
+		newContent: string,
+		newExtras?: DatabaseMessageExtra[]
+	) => void;
+	editWithReplacement: (
+		message: DatabaseMessage,
+		newContent: string,
+		shouldBranch: boolean
+	) => void;
+	editUserMessagePreserveResponses: (
+		message: DatabaseMessage,
+		newContent: string,
+		newExtras?: DatabaseMessageExtra[]
+	) => void;
+	regenerateWithBranching: (message: DatabaseMessage, modelOverride?: string) => void;
+	continueAssistantMessage: (message: DatabaseMessage) => void;
+}
+
+const CHAT_ACTIONS_KEY = Symbol.for('chat-actions');
+
+export function setChatActionsContext(ctx: ChatActionsContext): ChatActionsContext {
+	return setContext(CHAT_ACTIONS_KEY, ctx);
+}
+
+export function getChatActionsContext(): ChatActionsContext {
+	return getContext(CHAT_ACTIONS_KEY);
+}
diff --git a/tools/server/webui/src/lib/contexts/index.ts b/tools/server/webui/src/lib/contexts/index.ts
new file mode 100644
index 00000000000..73ff6f96fa9
--- /dev/null
+++ b/tools/server/webui/src/lib/contexts/index.ts
@@ -0,0 +1,13 @@
+export {
+	getMessageEditContext,
+	setMessageEditContext,
+	type MessageEditContext,
+	type MessageEditState,
+	type MessageEditActions
+} from './message-edit.context';
+
+export {
+	getChatActionsContext,
+	setChatActionsContext,
+	type ChatActionsContext
+} from './chat-actions.context';
diff --git a/tools/server/webui/src/lib/contexts/message-edit.context.ts b/tools/server/webui/src/lib/contexts/message-edit.context.ts
new file mode 100644
index 00000000000..7af116daa5a
--- /dev/null
+++ b/tools/server/webui/src/lib/contexts/message-edit.context.ts
@@ -0,0 +1,39 @@
+import { getContext, setContext } from 'svelte';
+
+export interface MessageEditState {
+	readonly isEditing: boolean;
+	readonly editedContent: string;
+	readonly editedExtras: DatabaseMessageExtra[];
+	readonly editedUploadedFiles: ChatUploadedFile[];
+	readonly originalContent: string;
+	readonly originalExtras: DatabaseMessageExtra[];
+	readonly showSaveOnlyOption: boolean;
+}
+
+export interface MessageEditActions {
+	setContent: (content: string) => void;
+	setExtras: (extras: DatabaseMessageExtra[]) => void;
+	setUploadedFiles: (files: ChatUploadedFile[]) => void;
+	save: () => void;
+	saveOnly: () => void;
+	cancel: () => void;
+	startEdit: () => void;
+}
+
+export type MessageEditContext = MessageEditState & MessageEditActions;
+
+const MESSAGE_EDIT_KEY = Symbol.for('chat-message-edit');
+
+/**
+ * Sets the message edit context. Call this in the parent component (ChatMessage.svelte).
+ */
+export function setMessageEditContext(ctx: MessageEditContext): MessageEditContext {
+	return setContext(MESSAGE_EDIT_KEY, ctx);
+}
+
+/**
+ * Gets the message edit context. Call this in child components.
+ */
+export function getMessageEditContext(): MessageEditContext {
+	return getContext(MESSAGE_EDIT_KEY);
+}
diff --git a/tools/server/webui/src/lib/enums/agentic.ts b/tools/server/webui/src/lib/enums/agentic.ts
new file mode 100644
index 00000000000..b96d244cd17
--- /dev/null
+++ b/tools/server/webui/src/lib/enums/agentic.ts
@@ -0,0 +1,18 @@
+/**
+ * OpenAI-compatible tool call type.
+ */
+export enum ToolCallType {
+	FUNCTION = 'function'
+}
+
+/**
+ * Types of sections in agentic content display.
+ */
+export enum AgenticSectionType {
+	TEXT = 'text',
+	TOOL_CALL = 'tool_call',
+	TOOL_CALL_PENDING = 'tool_call_pending',
+	TOOL_CALL_STREAMING = 'tool_call_streaming',
+	REASONING = 'reasoning',
+	REASONING_PENDING = 'reasoning_pending'
+}
diff --git a/tools/server/webui/src/lib/enums/attachment.ts b/tools/server/webui/src/lib/enums/attachment.ts
index 7c7d0da9946..28863d7efc6 100644
--- a/tools/server/webui/src/lib/enums/attachment.ts
+++ b/tools/server/webui/src/lib/enums/attachment.ts
@@ -4,6 +4,8 @@
 export enum AttachmentType {
 	AUDIO = 'AUDIO',
 	IMAGE = 'IMAGE',
+	MCP_PROMPT = 'MCP_PROMPT',
+	MCP_RESOURCE = 'MCP_RESOURCE',
 	PDF = 'PDF',
 	TEXT = 'TEXT',
 	LEGACY_CONTEXT = 'context' // Legacy attachment type for backward compatibility
diff --git a/tools/server/webui/src/lib/enums/chat.ts b/tools/server/webui/src/lib/enums/chat.ts
index 2b9eb7bc2e9..0b6f357d9a1 100644
--- a/tools/server/webui/src/lib/enums/chat.ts
+++ b/tools/server/webui/src/lib/enums/chat.ts
@@ -1,4 +1,51 @@
 export enum ChatMessageStatsView {
 	GENERATION = 'generation',
-	READING = 'reading'
+	READING = 'reading',
+	TOOLS = 'tools',
+	SUMMARY = 'summary'
+}
+
+/**
+ * Reasoning format options for API requests.
+ */
+export enum ReasoningFormat {
+	NONE = 'none',
+	AUTO = 'auto'
+}
+
+/**
+ * Message roles for chat messages.
+ */
+export enum MessageRole {
+	USER = 'user',
+	ASSISTANT = 'assistant',
+	SYSTEM = 'system',
+	TOOL = 'tool'
+}
+
+/**
+ * Message types for different content kinds.
+ */
+export enum MessageType {
+	ROOT = 'root',
+	TEXT = 'text',
+	THINK = 'think',
+	SYSTEM = 'system'
+}
+
+/**
+ * Content part types for API chat message content.
+ */
+export enum ContentPartType {
+	TEXT = 'text',
+	IMAGE_URL = 'image_url',
+	INPUT_AUDIO = 'input_audio'
+}
+
+/**
+ * Error dialog types for displaying server/timeout errors.
+ */
+export enum ErrorDialogType {
+	TIMEOUT = 'timeout',
+	SERVER = 'server'
 }
diff --git a/tools/server/webui/src/lib/enums/files.ts b/tools/server/webui/src/lib/enums/files.ts
index a4f079d405f..7efe0c706b4 100644
--- a/tools/server/webui/src/lib/enums/files.ts
+++ b/tools/server/webui/src/lib/enums/files.ts
@@ -11,6 +11,13 @@ export enum FileTypeCategory {
 	TEXT = 'text'
 }
 
+/**
+ * Special file types for internal use (not MIME types)
+ */
+export enum SpecialFileType {
+	MCP_PROMPT = 'mcp-prompt'
+}
+
 // Specific file type enums for each category
 export enum FileTypeImage {
 	JPEG = 'jpeg',
@@ -136,9 +143,28 @@ export enum FileExtensionText {
 	CS = '.cs'
 }
 
+// MIME type prefixes and includes for content detection
+export enum MimeTypePrefix {
+	IMAGE = 'image/',
+	TEXT = 'text'
+}
+
+export enum MimeTypeIncludes {
+	JSON = 'json',
+	JAVASCRIPT = 'javascript',
+	TYPESCRIPT = 'typescript'
+}
+
+// URI patterns for content detection
+export enum UriPattern {
+	DATABASE_KEYWORD = 'database',
+	DATABASE_SCHEME = 'db://'
+}
+
 // MIME type enums
 export enum MimeTypeApplication {
-	PDF = 'application/pdf'
+	PDF = 'application/pdf',
+	OCTET_STREAM = 'application/octet-stream'
 }
 
 export enum MimeTypeAudio {
@@ -152,6 +178,7 @@ export enum MimeTypeAudio {
 
 export enum MimeTypeImage {
 	JPEG = 'image/jpeg',
+	JPG = 'image/jpg',
 	PNG = 'image/png',
 	GIF = 'image/gif',
 	WEBP = 'image/webp',
diff --git a/tools/server/webui/src/lib/enums/index.ts b/tools/server/webui/src/lib/enums/index.ts
index 83c86caf669..1711dd76349 100644
--- a/tools/server/webui/src/lib/enums/index.ts
+++ b/tools/server/webui/src/lib/enums/index.ts
@@ -1,6 +1,15 @@
 export { AttachmentType } from './attachment';
 
-export { ChatMessageStatsView } from './chat';
+export { AgenticSectionType, ToolCallType } from './agentic';
+
+export {
+	ChatMessageStatsView,
+	ContentPartType,
+	ErrorDialogType,
+	MessageRole,
+	MessageType,
+	ReasoningFormat
+} from './chat';
 
 export {
 	FileTypeCategory,
@@ -12,12 +21,32 @@ export {
 	FileExtensionAudio,
 	FileExtensionPdf,
 	FileExtensionText,
+	MimeTypePrefix,
+	MimeTypeIncludes,
+	UriPattern,
 	MimeTypeApplication,
 	MimeTypeAudio,
 	MimeTypeImage,
-	MimeTypeText
+	MimeTypeText,
+	SpecialFileType
 } from './files';
 
+export {
+	MCPConnectionPhase,
+	MCPLogLevel,
+	MCPTransportType,
+	HealthCheckStatus,
+	MCPContentType,
+	MCPRefType,
+	JsonSchemaType
+} from './mcp';
+
 export { ModelModality } from './model';
 
 export { ServerRole, ServerModelStatus } from './server';
+
+export { ParameterSource, SyncableParameterType, SettingsFieldType } from './settings';
+
+export { ColorMode, McpPromptVariant, UrlProtocol } from './ui';
+
+export { KeyboardKey } from './keyboard';
diff --git a/tools/server/webui/src/lib/enums/keyboard.ts b/tools/server/webui/src/lib/enums/keyboard.ts
new file mode 100644
index 00000000000..bea68d790b5
--- /dev/null
+++ b/tools/server/webui/src/lib/enums/keyboard.ts
@@ -0,0 +1,16 @@
+/**
+ * Keyboard key names for event handling
+ */
+export enum KeyboardKey {
+	ENTER = 'Enter',
+	ESCAPE = 'Escape',
+	ARROW_UP = 'ArrowUp',
+	ARROW_DOWN = 'ArrowDown',
+	TAB = 'Tab',
+	D_LOWER = 'd',
+	D_UPPER = 'D',
+	E_UPPER = 'E',
+	K_LOWER = 'k',
+	O_UPPER = 'O',
+	SPACE = ' '
+}
diff --git a/tools/server/webui/src/lib/enums/mcp.ts b/tools/server/webui/src/lib/enums/mcp.ts
new file mode 100644
index 00000000000..d2c27e1a0c3
--- /dev/null
+++ b/tools/server/webui/src/lib/enums/mcp.ts
@@ -0,0 +1,66 @@
+/**
+ * Connection lifecycle phases for MCP protocol
+ */
+export enum MCPConnectionPhase {
+	IDLE = 'idle',
+	TRANSPORT_CREATING = 'transport_creating',
+	TRANSPORT_READY = 'transport_ready',
+	INITIALIZING = 'initializing',
+	CAPABILITIES_EXCHANGED = 'capabilities_exchanged',
+	LISTING_TOOLS = 'listing_tools',
+	CONNECTED = 'connected',
+	ERROR = 'error',
+	DISCONNECTED = 'disconnected'
+}
+
+/**
+ * Log level for connection events
+ */
+export enum MCPLogLevel {
+	INFO = 'info',
+	WARN = 'warn',
+	ERROR = 'error'
+}
+
+/**
+ * Transport types for MCP connections
+ */
+export enum MCPTransportType {
+	WEBSOCKET = 'websocket',
+	STREAMABLE_HTTP = 'streamable_http',
+	SSE = 'sse'
+}
+
+/**
+ * Health check status for MCP servers
+ */
+export enum HealthCheckStatus {
+	IDLE = 'idle',
+	CONNECTING = 'connecting',
+	SUCCESS = 'success',
+	ERROR = 'error'
+}
+
+/**
+ * Content types for MCP tool results
+ */
+export enum MCPContentType {
+	TEXT = 'text',
+	IMAGE = 'image',
+	RESOURCE = 'resource'
+}
+
+/**
+ * JSON Schema types used in MCP tool definitions
+ */
+export enum JsonSchemaType {
+	OBJECT = 'object'
+}
+
+/**
+ * Reference types for MCP completions
+ */
+export enum MCPRefType {
+	PROMPT = 'ref/prompt',
+	RESOURCE = 'ref/resource'
+}
diff --git a/tools/server/webui/src/lib/enums/settings.ts b/tools/server/webui/src/lib/enums/settings.ts
new file mode 100644
index 00000000000..f17f2197620
--- /dev/null
+++ b/tools/server/webui/src/lib/enums/settings.ts
@@ -0,0 +1,26 @@
+/**
+ * Parameter source - indicates whether a parameter uses default or custom value
+ */
+export enum ParameterSource {
+	DEFAULT = 'default',
+	CUSTOM = 'custom'
+}
+
+/**
+ * Syncable parameter type - data types for parameters that can be synced with server
+ */
+export enum SyncableParameterType {
+	NUMBER = 'number',
+	STRING = 'string',
+	BOOLEAN = 'boolean'
+}
+
+/**
+ * Settings field type - defines the input type for settings fields
+ */
+export enum SettingsFieldType {
+	INPUT = 'input',
+	TEXTAREA = 'textarea',
+	CHECKBOX = 'checkbox',
+	SELECT = 'select'
+}
diff --git a/tools/server/webui/src/lib/enums/ui.ts b/tools/server/webui/src/lib/enums/ui.ts
new file mode 100644
index 00000000000..37d45896279
--- /dev/null
+++ b/tools/server/webui/src/lib/enums/ui.ts
@@ -0,0 +1,24 @@
+export enum ColorMode {
+	LIGHT = 'light',
+	DARK = 'dark',
+	SYSTEM = 'system'
+}
+
+/**
+ * MCP prompt display variant
+ */
+export enum McpPromptVariant {
+	MESSAGE = 'message',
+	ATTACHMENT = 'attachment'
+}
+
+/**
+ * URL prefixes for protocol detection
+ */
+export enum UrlProtocol {
+	DATA = 'data:',
+	HTTP = 'http://',
+	HTTPS = 'https://',
+	WEBSOCKET = 'ws://',
+	WEBSOCKET_SECURE = 'wss://'
+}
diff --git a/tools/server/webui/src/lib/hooks/is-mobile.svelte.ts b/tools/server/webui/src/lib/hooks/is-mobile.svelte.ts
index 22c74f4a6f0..6454fc5b58a 100644
--- a/tools/server/webui/src/lib/hooks/is-mobile.svelte.ts
+++ b/tools/server/webui/src/lib/hooks/is-mobile.svelte.ts
@@ -1,4 +1,4 @@
-import { DEFAULT_MOBILE_BREAKPOINT } from '$lib/constants/viewport';
+import { DEFAULT_MOBILE_BREAKPOINT } from '$lib/constants';
 import { MediaQuery } from 'svelte/reactivity';
 
 export class IsMobile extends MediaQuery {
diff --git a/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts b/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts
new file mode 100644
index 00000000000..afd0aad8301
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-auto-scroll.svelte.ts
@@ -0,0 +1,165 @@
+import { AUTO_SCROLL_AT_BOTTOM_THRESHOLD, AUTO_SCROLL_INTERVAL } from '$lib/constants';
+
+export interface AutoScrollOptions {
+	/** Whether auto-scroll is disabled globally (e.g., from settings) */
+	disabled?: boolean;
+}
+
+/**
+ * Creates an auto-scroll controller for a scrollable container.
+ *
+ * Features:
+ * - Auto-scrolls to bottom during streaming/loading
+ * - Stops auto-scroll when user manually scrolls up
+ * - Resumes auto-scroll when user scrolls back to bottom
+ */
+export class AutoScrollController {
+	private _autoScrollEnabled = $state(true);
+	private _userScrolledUp = $state(false);
+	private _lastScrollTop = $state(0);
+	private _scrollInterval: ReturnType<typeof setInterval> | undefined;
+	private _scrollTimeout: ReturnType<typeof setTimeout> | undefined;
+	private _container: HTMLElement | undefined;
+	private _disabled: boolean;
+
+	constructor(options: AutoScrollOptions = {}) {
+		this._disabled = options.disabled ?? false;
+	}
+
+	get autoScrollEnabled(): boolean {
+		return this._autoScrollEnabled;
+	}
+
+	get userScrolledUp(): boolean {
+		return this._userScrolledUp;
+	}
+
+	/**
+	 * Binds the controller to a scrollable container element.
+	 */
+	setContainer(container: HTMLElement | undefined): void {
+		this._container = container;
+	}
+
+	/**
+	 * Updates the disabled state.
+	 */
+	setDisabled(disabled: boolean): void {
+		this._disabled = disabled;
+		if (disabled) {
+			this._autoScrollEnabled = false;
+			this.stopInterval();
+		}
+	}
+
+	/**
+	 * Handles scroll events to detect user scroll direction and toggle auto-scroll.
+	 */
+	handleScroll(): void {
+		if (this._disabled || !this._container) return;
+
+		const { scrollTop, scrollHeight, clientHeight } = this._container;
+		const distanceFromBottom = scrollHeight - scrollTop - clientHeight;
+		const isAtBottom = distanceFromBottom < AUTO_SCROLL_AT_BOTTOM_THRESHOLD;
+
+		if (scrollTop < this._lastScrollTop && !isAtBottom) {
+			this._userScrolledUp = true;
+			this._autoScrollEnabled = false;
+		} else if (isAtBottom && this._userScrolledUp) {
+			this._userScrolledUp = false;
+			this._autoScrollEnabled = true;
+		}
+
+		if (this._scrollTimeout) {
+			clearTimeout(this._scrollTimeout);
+		}
+
+		this._scrollTimeout = setTimeout(() => {
+			if (isAtBottom) {
+				this._userScrolledUp = false;
+				this._autoScrollEnabled = true;
+			}
+		}, AUTO_SCROLL_INTERVAL);
+
+		this._lastScrollTop = scrollTop;
+	}
+
+	/**
+	 * Scrolls the container to the bottom.
+	 */
+	scrollToBottom(behavior: ScrollBehavior = 'smooth'): void {
+		if (this._disabled || !this._container) return;
+
+		this._container.scrollTo({
+			top: this._container.scrollHeight,
+			behavior
+		});
+	}
+
+	/**
+	 * Enables auto-scroll (e.g., when user sends a message).
+	 */
+	enable(): void {
+		if (this._disabled) return;
+		this._userScrolledUp = false;
+		this._autoScrollEnabled = true;
+	}
+
+	/**
+	 * Starts the auto-scroll interval for continuous scrolling during streaming.
+	 */
+	startInterval(): void {
+		if (this._disabled || this._scrollInterval) return;
+
+		this._scrollInterval = setInterval(() => {
+			this.scrollToBottom();
+		}, AUTO_SCROLL_INTERVAL);
+	}
+
+	/**
+	 * Stops the auto-scroll interval.
+	 */
+	stopInterval(): void {
+		if (this._scrollInterval) {
+			clearInterval(this._scrollInterval);
+			this._scrollInterval = undefined;
+		}
+	}
+
+	/**
+	 * Updates the auto-scroll interval based on streaming state.
+	 * Call this in a $effect to automatically manage the interval.
+	 */
+	updateInterval(isStreaming: boolean): void {
+		if (this._disabled) {
+			this.stopInterval();
+			return;
+		}
+
+		if (isStreaming && this._autoScrollEnabled) {
+			if (!this._scrollInterval) {
+				this.startInterval();
+			}
+		} else {
+			this.stopInterval();
+		}
+	}
+
+	/**
+	 * Cleans up resources. Call this in onDestroy or when the component unmounts.
+	 */
+	destroy(): void {
+		this.stopInterval();
+		if (this._scrollTimeout) {
+			clearTimeout(this._scrollTimeout);
+			this._scrollTimeout = undefined;
+		}
+	}
+}
+
+/**
+ * Creates a new AutoScrollController instance.
+ */
+export function createAutoScrollController(options: AutoScrollOptions = {}): AutoScrollController {
+	return new AutoScrollController(options);
+}
diff --git a/tools/server/webui/src/lib/hooks/use-model-change-validation.svelte.ts b/tools/server/webui/src/lib/hooks/use-model-change-validation.svelte.ts
deleted file mode 100644
index bb666159c98..00000000000
--- a/tools/server/webui/src/lib/hooks/use-model-change-validation.svelte.ts
+++ /dev/null
@@ -1,118 +0,0 @@
-import { modelsStore } from '$lib/stores/models.svelte';
-import { isRouterMode } from '$lib/stores/server.svelte';
-import { toast } from 'svelte-sonner';
-
-interface UseModelChangeValidationOptions {
-	/**
-	 * Function to get required modalities for validation.
-	 * For ChatForm: () => usedModalities() - all messages
-	 * For ChatMessageAssistant: () => getModalitiesUpToMessage(messageId) - messages before
-	 */
-	getRequiredModalities: () => ModelModalities;
-
-	/**
-	 * Optional callback to execute after successful validation.
-	 * For ChatForm: undefined - just select model
-	 * For ChatMessageAssistant: (modelName) => onRegenerate(modelName)
-	 */
-	onSuccess?: (modelName: string) => void;
-
-	/**
-	 * Optional callback for rollback on validation failure.
-	 * For ChatForm: (previousId) => selectModelById(previousId)
-	 * For ChatMessageAssistant: undefined - no rollback needed
-	 */
-	onValidationFailure?: (previousModelId: string | null) => Promise<void>;
-}
-
-export function useModelChangeValidation(options: UseModelChangeValidationOptions) {
-	const { getRequiredModalities, onSuccess, onValidationFailure } = options;
-
-	let previousSelectedModelId: string | null = null;
-	const isRouter = $derived(isRouterMode());
-
-	async function handleModelChange(modelId: string, modelName: string): Promise<boolean> {
-		try {
-			// Store previous selection for potential rollback
-			if (onValidationFailure) {
-				previousSelectedModelId = modelsStore.selectedModelId;
-			}
-
-			// Load model if not already loaded (router mode only)
-			let hasLoadedModel = false;
-			const isModelLoadedBefore = modelsStore.isModelLoaded(modelName);
-
-			if (isRouter && !isModelLoadedBefore) {
-				try {
-					await modelsStore.loadModel(modelName);
-					hasLoadedModel = true;
-				} catch {
-					toast.error(`Failed to load model "${modelName}"`);
-					return false;
-				}
-			}
-
-			// Fetch model props to validate modalities
-			const props = await modelsStore.fetchModelProps(modelName);
-
-			if (props?.modalities) {
-				const requiredModalities = getRequiredModalities();
-
-				// Check if model supports required modalities
-				const missingModalities: string[] = [];
-				if (requiredModalities.vision && !props.modalities.vision) {
-					missingModalities.push('vision');
-				}
-				if (requiredModalities.audio && !props.modalities.audio) {
-					missingModalities.push('audio');
-				}
-
-				if (missingModalities.length > 0) {
-					toast.error(
-						`Model "${modelName}" doesn't support required modalities: ${missingModalities.join(', ')}. Please select a different model.`
-					);
-
-					// Unload the model if we just loaded it
-					if (isRouter && hasLoadedModel) {
-						try {
-							await modelsStore.unloadModel(modelName);
-						} catch (error) {
-							console.error('Failed to unload incompatible model:', error);
-						}
-					}
-
-					// Execute rollback callback if provided
-					if (onValidationFailure && previousSelectedModelId) {
-						await onValidationFailure(previousSelectedModelId);
-					}
-
-					return false;
-				}
-			}
-
-			// Select the model (validation passed)
-			await modelsStore.selectModelById(modelId);
-
-			// Execute success callback if provided
-			if (onSuccess) {
-				onSuccess(modelName);
-			}
-
-			return true;
-		} catch (error) {
-			console.error('Failed to change model:', error);
-			toast.error('Failed to validate model capabilities');
-
-			// Execute rollback callback on error if provided
-			if (onValidationFailure && previousSelectedModelId) {
-				await onValidationFailure(previousSelectedModelId);
-			}
-
-			return false;
-		}
-	}
-
-	return {
-		handleModelChange
-	};
-}
diff --git a/tools/server/webui/src/lib/hooks/use-processing-state.svelte.ts b/tools/server/webui/src/lib/hooks/use-processing-state.svelte.ts
index c06cf28864a..f280319723f 100644
--- a/tools/server/webui/src/lib/hooks/use-processing-state.svelte.ts
+++ b/tools/server/webui/src/lib/hooks/use-processing-state.svelte.ts
@@ -1,23 +1,12 @@
 import { activeProcessingState } from '$lib/stores/chat.svelte';
 import { config } from '$lib/stores/settings.svelte';
-
-export interface LiveProcessingStats {
-	tokensProcessed: number;
-	totalTokens: number;
-	timeMs: number;
-	tokensPerSecond: number;
-	etaSecs?: number;
-}
-
-export interface LiveGenerationStats {
-	tokensGenerated: number;
-	timeMs: number;
-	tokensPerSecond: number;
-}
+import { STATS_UNITS } from '$lib/constants';
+import type { ApiProcessingState, LiveProcessingStats, LiveGenerationStats } from '$lib/types';
 
 export interface UseProcessingStateReturn {
 	readonly processingState: ApiProcessingState | null;
 	getProcessingDetails(): string[];
+	getTechnicalDetails(): string[];
 	getProcessingMessage(): string;
 	getPromptProgressText(): string | null;
 	getLiveProcessingStats(): LiveProcessingStats | null;
@@ -138,8 +127,81 @@ export function useProcessingState(): UseProcessingStateReturn {
 
 		const details: string[] = [];
 
+		// Show prompt processing progress with ETA during preparation phase
+		if (stateToUse.promptProgress) {
+			const { processed, total, time_ms, cache } = stateToUse.promptProgress;
+			const actualProcessed = processed - cache;
+			const actualTotal = total - cache;
+
+			if (actualProcessed < actualTotal && actualProcessed > 0) {
+				const percent = Math.round((actualProcessed / actualTotal) * 100);
+				const eta = getETASecs(actualProcessed, actualTotal, time_ms);
+
+				if (eta !== undefined) {
+					const etaSecs = Math.ceil(eta);
+					details.push(`Processing ${percent}% (ETA: ${etaSecs}s)`);
+				} else {
+					details.push(`Processing ${percent}%`);
+				}
+			}
+		}
+
+		// Always show context info when we have valid data
+		if (
+			typeof stateToUse.contextTotal === 'number' &&
+			stateToUse.contextUsed >= 0 &&
+			stateToUse.contextTotal > 0
+		) {
+			const contextPercent = Math.round((stateToUse.contextUsed / stateToUse.contextTotal) * 100);
+
+			details.push(
+				`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`
+			);
+		}
+
+		if (stateToUse.outputTokensUsed > 0) {
+			// Handle infinite max_tokens (-1) case
+			if (stateToUse.outputTokensMax <= 0) {
+				details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);
+			} else {
+				const outputPercent = Math.round(
+					(stateToUse.outputTokensUsed / stateToUse.outputTokensMax) * 100
+				);
+
+				details.push(
+					`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`
+				);
+			}
+		}
+
+		if (stateToUse.tokensPerSecond && stateToUse.tokensPerSecond > 0) {
+			details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`);
+		}
+
+		if (stateToUse.speculative) {
+			details.push('Speculative decoding enabled');
+		}
+
+		return details;
+	}
+
+	/**
+	 * Returns technical details without the progress message (for bottom bar)
+	 */
+	function getTechnicalDetails(): string[] {
+		const stateToUse = processingState || lastKnownState;
+		if (!stateToUse) {
+			return [];
+		}
+
+		const details: string[] = [];
+
 		// Always show context info when we have valid data
-		if (stateToUse.contextUsed >= 0 && stateToUse.contextTotal > 0) {
+		if (
+			typeof stateToUse.contextTotal === 'number' &&
+			stateToUse.contextUsed >= 0 &&
+			stateToUse.contextTotal > 0
+		) {
 			const contextPercent = Math.round((stateToUse.contextUsed / stateToUse.contextTotal) * 100);
 
 			details.push(
@@ -163,7 +225,7 @@ export function useProcessingState(): UseProcessingStateReturn {
 		}
 
 		if (stateToUse.tokensPerSecond && stateToUse.tokensPerSecond > 0) {
-			details.push(`${stateToUse.tokensPerSecond.toFixed(1)} tokens/sec`);
+			details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`);
 		}
 
 		if (stateToUse.speculative) {
@@ -251,6 +313,7 @@ export function useProcessingState(): UseProcessingStateReturn {
 			return processingState;
 		},
 		getProcessingDetails,
+		getTechnicalDetails,
 		getProcessingMessage,
 		getPromptProgressText,
 		getLiveProcessingStats,
diff --git a/tools/server/webui/src/lib/markdown/enhance-code-blocks.ts b/tools/server/webui/src/lib/markdown/enhance-code-blocks.ts
index 6f0e03e2116..7c3b7f167f0 100644
--- a/tools/server/webui/src/lib/markdown/enhance-code-blocks.ts
+++ b/tools/server/webui/src/lib/markdown/enhance-code-blocks.ts
@@ -13,6 +13,16 @@
 import type { Plugin } from 'unified';
 import type { Root, Element, ElementContent } from 'hast';
 import { visit } from 'unist-util-visit';
+import {
+	CODE_BLOCK_SCROLL_CONTAINER_CLASS,
+	CODE_BLOCK_WRAPPER_CLASS,
+	CODE_BLOCK_HEADER_CLASS,
+	CODE_BLOCK_ACTIONS_CLASS,
+	CODE_LANGUAGE_CLASS,
+	COPY_CODE_BTN_CLASS,
+	PREVIEW_CODE_BTN_CLASS,
+	RELATIVE_CLASS
+} from '$lib/constants';
 
 declare global {
 	interface Window {
@@ -42,7 +52,7 @@ function createCopyButton(codeId: string): Element {
 		type: 'element',
 		tagName: 'button',
 		properties: {
-			className: ['copy-code-btn'],
+			className: [COPY_CODE_BTN_CLASS],
 			'data-code-id': codeId,
 			title: 'Copy code',
 			type: 'button'
@@ -56,7 +66,7 @@ function createPreviewButton(codeId: string): Element {
 		type: 'element',
 		tagName: 'button',
 		properties: {
-			className: ['preview-code-btn'],
+			className: [PREVIEW_CODE_BTN_CLASS],
 			'data-code-id': codeId,
 			title: 'Preview code',
 			type: 'button'
@@ -75,30 +85,39 @@ function createHeader(language: string, codeId: string): Element {
 	return {
 		type: 'element',
 		tagName: 'div',
-		properties: { className: ['code-block-header'] },
+		properties: { className: [CODE_BLOCK_HEADER_CLASS] },
 		children: [
 			{
 				type: 'element',
 				tagName: 'span',
-				properties: { className: ['code-language'] },
+				properties: { className: [CODE_LANGUAGE_CLASS] },
 				children: [{ type: 'text', value: language }]
 			},
 			{
 				type: 'element',
 				tagName: 'div',
-				properties: { className: ['code-block-actions'] },
+				properties: { className: [CODE_BLOCK_ACTIONS_CLASS] },
 				children: actions
 			}
 		]
 	};
 }
 
+function createScrollContainer(preElement: Element): Element {
+	return {
+		type: 'element',
+		tagName: 'div',
+		properties: { className: [CODE_BLOCK_SCROLL_CONTAINER_CLASS] },
+		children: [preElement]
+	};
+}
+
 function createWrapper(header: Element, preElement: Element): Element {
 	return {
 		type: 'element',
 		tagName: 'div',
-		properties: { className: ['code-block-wrapper'] },
-		children: [header, preElement]
+		properties: { className: [CODE_BLOCK_WRAPPER_CLASS, RELATIVE_CLASS] },
+		children: [header, createScrollContainer(preElement)]
 	};
 }
 
diff --git a/tools/server/webui/src/lib/markdown/literal-html.ts b/tools/server/webui/src/lib/markdown/literal-html.ts
index d4ace01afe4..c974d8b1893 100644
--- a/tools/server/webui/src/lib/markdown/literal-html.ts
+++ b/tools/server/webui/src/lib/markdown/literal-html.ts
@@ -1,7 +1,7 @@
 import type { Plugin } from 'unified';
 import { visit } from 'unist-util-visit';
 import type { Break, Content, Paragraph, PhrasingContent, Root, Text } from 'mdast';
-import { LINE_BREAK, NBSP, PHRASE_PARENTS, TAB_AS_SPACES } from '$lib/constants/literal-html';
+import { LINE_BREAK, NBSP, PHRASE_PARENTS, TAB_AS_SPACES } from '$lib/constants';
 
 /**
  * remark plugin that rewrites raw HTML nodes into plain-text equivalents.
diff --git a/tools/server/webui/src/lib/markdown/resolve-attachment-images.ts b/tools/server/webui/src/lib/markdown/resolve-attachment-images.ts
new file mode 100644
index 00000000000..36e7a3192bc
--- /dev/null
+++ b/tools/server/webui/src/lib/markdown/resolve-attachment-images.ts
@@ -0,0 +1,34 @@
+import type { Root as HastRoot } from 'hast';
+import { visit } from 'unist-util-visit';
+import type { DatabaseMessageExtra, DatabaseMessageExtraImageFile } from '$lib/types/database';
+import { AttachmentType, UrlProtocol } from '$lib/enums';
+
+/**
+ * Rehype plugin to resolve attachment image sources.
+ * Converts attachment names (e.g., "mcp-attachment-xxx.png") to base64 data URLs.
+ */
+export function rehypeResolveAttachmentImages(options: { attachments?: DatabaseMessageExtra[] }) {
+	return (tree: HastRoot) => {
+		visit(tree, 'element', (node) => {
+			if (node.tagName === 'img' && node.properties?.src) {
+				const src = String(node.properties.src);
+
+				// Skip data URLs and external URLs
+				if (src.startsWith(UrlProtocol.DATA) || src.startsWith(UrlProtocol.HTTP)) {
+					return;
+				}
+
+				// Find matching attachment
+				const attachment = options.attachments?.find(
+					(a): a is DatabaseMessageExtraImageFile =>
+						a.type === AttachmentType.IMAGE && a.name === src
+				);
+
+				// Replace with base64 URL if found
+				if (attachment?.base64Url) {
+					node.properties.src = attachment.base64Url;
+				}
+			}
+		});
+	};
+}
diff --git a/tools/server/webui/src/lib/markdown/table-html-restorer.ts b/tools/server/webui/src/lib/markdown/table-html-restorer.ts
index 918aa468116..bc5d034653f 100644
--- a/tools/server/webui/src/lib/markdown/table-html-restorer.ts
+++ b/tools/server/webui/src/lib/markdown/table-html-restorer.ts
@@ -68,7 +68,7 @@ import type { Plugin } from 'unified';
 import type { Element, ElementContent, Root, Text } from 'hast';
 import { visit } from 'unist-util-visit';
 import { visitParents } from 'unist-util-visit-parents';
-import { BR_PATTERN, LIST_PATTERN, LI_PATTERN } from '$lib/constants/table-html-restorer';
+import { BR_PATTERN, LIST_PATTERN, LI_PATTERN } from '$lib/constants';
 
 /**
  * Expands text containing `<br>` tags into an array of text nodes and br elements.
diff --git a/tools/server/webui/src/lib/services/chat.ts b/tools/server/webui/src/lib/services/chat.service.ts
similarity index 78%
rename from tools/server/webui/src/lib/services/chat.ts
rename to tools/server/webui/src/lib/services/chat.service.ts
index 02fc6381c00..80dc1800c70 100644
--- a/tools/server/webui/src/lib/services/chat.ts
+++ b/tools/server/webui/src/lib/services/chat.service.ts
@@ -1,42 +1,61 @@
-import { getJsonHeaders } from '$lib/utils';
-import { AttachmentType } from '$lib/enums';
-
-/**
- * ChatService - Low-level API communication layer for Chat Completions
- *
- * **Terminology - Chat vs Conversation:**
- * - **Chat**: The active interaction space with the Chat Completions API. This service
- *   handles the real-time communication with the AI backend - sending messages, receiving
- *   streaming responses, and managing request lifecycles. "Chat" is ephemeral and runtime-focused.
- * - **Conversation**: The persistent database entity storing all messages and metadata.
- *   Managed by ConversationsService/Store, conversations persist across sessions.
- *
- * This service handles direct communication with the llama-server's Chat Completions API.
- * It provides the network layer abstraction for AI model interactions while remaining
- * stateless and focused purely on API communication.
- *
- * **Architecture & Relationships:**
- * - **ChatService** (this class): Stateless API communication layer
- *   - Handles HTTP requests/responses with the llama-server
- *   - Manages streaming and non-streaming response parsing
- *   - Provides per-conversation request abortion capabilities
- *   - Converts database messages to API format
- *   - Handles error translation for server responses
- *
- * - **chatStore**: Uses ChatService for all AI model communication
- * - **conversationsStore**: Provides message context for API requests
- *
- * **Key Responsibilities:**
- * - Message format conversion (DatabaseMessage → API format)
- * - Streaming response handling with real-time callbacks
- * - Reasoning content extraction and processing
- * - File attachment processing (images, PDFs, audio, text)
- * - Request lifecycle management (abort via AbortSignal)
- */
+import { getJsonHeaders, formatAttachmentText, isAbortError } from '$lib/utils';
+import {
+	AGENTIC_REGEX,
+	ATTACHMENT_LABEL_PDF_FILE,
+	ATTACHMENT_LABEL_MCP_PROMPT,
+	ATTACHMENT_LABEL_MCP_RESOURCE
+} from '$lib/constants';
+import {
+	AttachmentType,
+	ContentPartType,
+	MessageRole,
+	ReasoningFormat,
+	UrlProtocol
+} from '$lib/enums';
+import type { ApiChatMessageContentPart, ApiChatCompletionToolCall } from '$lib/types/api';
+import type { DatabaseMessageExtraMcpPrompt, DatabaseMessageExtraMcpResource } from '$lib/types';
+import { modelsStore } from '$lib/stores/models.svelte';
+
 export class ChatService {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Messaging
-	// ─────────────────────────────────────────────────────────────────────────────
+	private static stripReasoningContent(
+		content: ApiChatMessageData['content'] | null | undefined
+	): ApiChatMessageData['content'] | null | undefined {
+		if (!content) {
+			return content;
+		}
+
+		if (typeof content === 'string') {
+			return content
+				.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
+				.replace(AGENTIC_REGEX.REASONING_OPEN, '')
+				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
+				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
+		}
+
+		if (!Array.isArray(content)) {
+			return content;
+		}
+
+		return content.map((part: ApiChatMessageContentPart) => {
+			if (part.type !== ContentPartType.TEXT || !part.text) return part;
+			return {
+				...part,
+				text: part.text
+					.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
+					.replace(AGENTIC_REGEX.REASONING_OPEN, '')
+					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
+					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
+			};
+		});
+	}
+
+	/**
+	 *
+	 *
+	 * Messaging
+	 *
+	 *
+	 */
 
 	/**
 	 * Sends a chat completion request to the llama.cpp server.
@@ -63,6 +82,8 @@ export class ChatService {
 			onToolCallChunk,
 			onModel,
 			onTimings,
+			// Tools for function calling
+			tools,
 			// Generation parameters
 			temperature,
 			max_tokens,
@@ -90,13 +111,14 @@ export class ChatService {
 			custom,
 			timings_per_token,
 			// Config options
-			disableReasoningFormat
+			disableReasoningParsing
 		} = options;
 
 		const normalizedMessages: ApiChatMessageData[] = messages
 			.map((msg) => {
 				if ('id' in msg && 'convId' in msg && 'timestamp' in msg) {
 					const dbMsg = msg as DatabaseMessage & { extra?: DatabaseMessageExtra[] };
+
 					return ChatService.convertDbMessageToApiChatMessageData(dbMsg);
 				} else {
 					return msg as ApiChatMessageData;
@@ -104,7 +126,7 @@ export class ChatService {
 			})
 			.filter((msg) => {
 				// Filter out empty system messages
-				if (msg.role === 'system') {
+				if (msg.role === MessageRole.SYSTEM) {
 					const content = typeof msg.content === 'string' ? msg.content : '';
 
 					return content.trim().length > 0;
@@ -113,13 +135,41 @@ export class ChatService {
 				return true;
 			});
 
+		// Filter out image attachments if the model doesn't support vision
+		if (options.model && !modelsStore.modelSupportsVision(options.model)) {
+			normalizedMessages.forEach((msg) => {
+				if (Array.isArray(msg.content)) {
+					msg.content = msg.content.filter((part: ApiChatMessageContentPart) => {
+						if (part.type === ContentPartType.IMAGE_URL) {
+							console.info(
+								`[ChatService] Skipping image attachment in message history (model "${options.model}" does not support vision)`
+							);
+
+							return false;
+						}
+
+						return true;
+					});
+					// If only text remains and it's a single part, simplify to string
+					if (msg.content.length === 1 && msg.content[0].type === ContentPartType.TEXT) {
+						msg.content = msg.content[0].text;
+					}
+				}
+			});
+		}
+
 		const requestBody: ApiChatCompletionRequest = {
 			messages: normalizedMessages.map((msg: ApiChatMessageData) => ({
 				role: msg.role,
-				content: msg.content
+				// Strip reasoning tags/content from the prompt to avoid polluting KV cache.
+				// TODO: investigate backend expectations for reasoning tags and add a toggle if needed.
+				content: ChatService.stripReasoningContent(msg.content),
+				tool_calls: msg.tool_calls,
+				tool_call_id: msg.tool_call_id
 			})),
 			stream,
-			return_progress: stream ? true : undefined
+			return_progress: stream ? true : undefined,
+			tools: tools && tools.length > 0 ? tools : undefined
 		};
 
 		// Include model in request if provided (required in ROUTER mode)
@@ -127,7 +177,9 @@ export class ChatService {
 			requestBody.model = options.model;
 		}
 
-		requestBody.reasoning_format = disableReasoningFormat ? 'none' : 'auto';
+		requestBody.reasoning_format = disableReasoningParsing
+			? ReasoningFormat.NONE
+			: ReasoningFormat.AUTO;
 
 		if (temperature !== undefined) requestBody.temperature = temperature;
 		if (max_tokens !== undefined) {
@@ -183,9 +235,11 @@ export class ChatService {
 
 			if (!response.ok) {
 				const error = await ChatService.parseErrorResponse(response);
+
 				if (onError) {
 					onError(error);
 				}
+
 				throw error;
 			}
 
@@ -202,6 +256,7 @@ export class ChatService {
 					conversationId,
 					signal
 				);
+
 				return;
 			} else {
 				return ChatService.handleNonStreamResponse(
@@ -213,7 +268,7 @@ export class ChatService {
 				);
 			}
 		} catch (error) {
-			if (error instanceof Error && error.name === 'AbortError') {
+			if (isAbortError(error)) {
 				console.log('Chat completion request was aborted');
 				return;
 			}
@@ -240,16 +295,22 @@ export class ChatService {
 			}
 
 			console.error('Error in sendMessage:', error);
+
 			if (onError) {
 				onError(userFriendlyError);
 			}
+
 			throw userFriendlyError;
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Streaming
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Streaming
+	 *
+	 *
+	 */
 
 	/**
 	 * Handles streaming response from the chat completion API
@@ -323,6 +384,10 @@ export class ChatService {
 
 			const serializedToolCalls = JSON.stringify(aggregatedToolCalls);
 
+			if (import.meta.env.DEV) {
+				console.log('[ChatService] Aggregated tool calls:', serializedToolCalls);
+			}
+
 			if (!serializedToolCalls) {
 				return;
 			}
@@ -349,10 +414,11 @@ export class ChatService {
 				for (const line of lines) {
 					if (abortSignal?.aborted) break;
 
-					if (line.startsWith('data: ')) {
+					if (line.startsWith(UrlProtocol.DATA)) {
 						const data = line.slice(6);
 						if (data === '[DONE]') {
 							streamFinished = true;
+
 							continue;
 						}
 
@@ -458,6 +524,7 @@ export class ChatService {
 
 			if (!responseText.trim()) {
 				const noResponseError = new Error('No response received from server. Please try again.');
+
 				throw noResponseError;
 			}
 
@@ -472,10 +539,6 @@ export class ChatService {
 			const reasoningContent = data.choices[0]?.message?.reasoning_content;
 			const toolCalls = data.choices[0]?.message?.tool_calls;
 
-			if (reasoningContent) {
-				console.log('Full reasoning content:', reasoningContent);
-			}
-
 			let serializedToolCalls: string | undefined;
 
 			if (toolCalls && toolCalls.length > 0) {
@@ -491,6 +554,7 @@ export class ChatService {
 
 			if (!content.trim() && !serializedToolCalls) {
 				const noResponseError = new Error('No response received from server. Please try again.');
+
 				throw noResponseError;
 			}
 
@@ -563,9 +627,13 @@ export class ChatService {
 		return result;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Conversion
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Conversion
+	 *
+	 *
+	 */
 
 	/**
 	 * Converts a database message with attachments to API chat message format.
@@ -582,22 +650,48 @@ export class ChatService {
 	static convertDbMessageToApiChatMessageData(
 		message: DatabaseMessage & { extra?: DatabaseMessageExtra[] }
 	): ApiChatMessageData {
-		if (!message.extra || message.extra.length === 0) {
+		// Handle tool result messages (role: 'tool')
+		if (message.role === MessageRole.TOOL && message.toolCallId) {
 			return {
-				role: message.role as 'user' | 'assistant' | 'system',
+				role: MessageRole.TOOL,
+				content: message.content,
+				tool_call_id: message.toolCallId
+			};
+		}
+
+		// Parse tool calls for assistant messages
+		let toolCalls: ApiChatCompletionToolCall[] | undefined;
+		if (message.toolCalls) {
+			try {
+				toolCalls = JSON.parse(message.toolCalls);
+			} catch {
+				// Ignore parse errors for malformed tool calls
+			}
+		}
+
+		if (!message.extra || message.extra.length === 0) {
+			const result: ApiChatMessageData = {
+				role: message.role as MessageRole,
 				content: message.content
 			};
+
+			if (toolCalls && toolCalls.length > 0) {
+				result.tool_calls = toolCalls;
+			}
+
+			return result;
 		}
 
 		const contentParts: ApiChatMessageContentPart[] = [];
 
 		if (message.content) {
 			contentParts.push({
-				type: 'text',
+				type: ContentPartType.TEXT,
 				text: message.content
 			});
 		}
 
+		// Include images from all messages
 		const imageFiles = message.extra.filter(
 			(extra: DatabaseMessageExtra): extra is DatabaseMessageExtraImageFile =>
 				extra.type === AttachmentType.IMAGE
@@ -605,7 +699,7 @@ export class ChatService {
 
 		for (const image of imageFiles) {
 			contentParts.push({
-				type: 'image_url',
+				type: ContentPartType.IMAGE_URL,
 				image_url: { url: image.base64Url }
 			});
 		}
@@ -617,8 +711,8 @@ export class ChatService {
 
 		for (const textFile of textFiles) {
 			contentParts.push({
-				type: 'text',
-				text: `\n\n--- File: ${textFile.name} ---\n${textFile.content}`
+				type: ContentPartType.TEXT,
+				text: formatAttachmentText('File', textFile.name, textFile.content)
 			});
 		}
 
@@ -630,8 +724,8 @@ export class ChatService {
 
 		for (const legacyContextFile of legacyContextFiles) {
 			contentParts.push({
-				type: 'text',
-				text: `\n\n--- File: ${legacyContextFile.name} ---\n${legacyContextFile.content}`
+				type: ContentPartType.TEXT,
+				text: formatAttachmentText('File', legacyContextFile.name, legacyContextFile.content)
 			});
 		}
 
@@ -642,7 +736,7 @@ export class ChatService {
 
 		for (const audio of audioFiles) {
 			contentParts.push({
-				type: 'input_audio',
+				type: ContentPartType.INPUT_AUDIO,
 				input_audio: {
 					data: audio.base64Data,
 					format: audio.mimeType.includes('wav') ? 'wav' : 'mp3'
@@ -659,27 +753,69 @@ export class ChatService {
 			if (pdfFile.processedAsImages && pdfFile.images) {
 				for (let i = 0; i < pdfFile.images.length; i++) {
 					contentParts.push({
-						type: 'image_url',
+						type: ContentPartType.IMAGE_URL,
 						image_url: { url: pdfFile.images[i] }
 					});
 				}
 			} else {
 				contentParts.push({
-					type: 'text',
-					text: `\n\n--- PDF File: ${pdfFile.name} ---\n${pdfFile.content}`
+					type: ContentPartType.TEXT,
+					text: formatAttachmentText(ATTACHMENT_LABEL_PDF_FILE, pdfFile.name, pdfFile.content)
 				});
 			}
 		}
 
-		return {
-			role: message.role as 'user' | 'assistant' | 'system',
+		const mcpPrompts = message.extra.filter(
+			(extra: DatabaseMessageExtra): extra is DatabaseMessageExtraMcpPrompt =>
+				extra.type === AttachmentType.MCP_PROMPT
+		);
+
+		for (const mcpPrompt of mcpPrompts) {
+			contentParts.push({
+				type: ContentPartType.TEXT,
+				text: formatAttachmentText(
+					ATTACHMENT_LABEL_MCP_PROMPT,
+					mcpPrompt.name,
+					mcpPrompt.content,
+					mcpPrompt.serverName
+				)
+			});
+		}
+
+		const mcpResources = message.extra.filter(
+			(extra: DatabaseMessageExtra): extra is DatabaseMessageExtraMcpResource =>
+				extra.type === AttachmentType.MCP_RESOURCE
+		);
+
+		for (const mcpResource of mcpResources) {
+			contentParts.push({
+				type: ContentPartType.TEXT,
+				text: formatAttachmentText(
+					ATTACHMENT_LABEL_MCP_RESOURCE,
+					mcpResource.name,
+					mcpResource.content,
+					mcpResource.serverName
+				)
+			});
+		}
+
+		const result: ApiChatMessageData = {
+			role: message.role as MessageRole,
 			content: contentParts
 		};
+		if (toolCalls && toolCalls.length > 0) {
+			result.tool_calls = toolCalls;
+		}
+		return result;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Utilities
+	 *
+	 *
+	 */
 
 	/**
 	 * Parses error response and creates appropriate error with context information
@@ -714,6 +850,7 @@ export class ChatService {
 				contextInfo?: { n_prompt_tokens: number; n_ctx: number };
 			};
 			fallback.name = 'HttpError';
+
 			return fallback;
 		}
 	}
@@ -745,18 +882,26 @@ export class ChatService {
 
 		// 1) root (some implementations provide `model` at the top level)
 		const rootModel = getTrimmedString(root.model);
-		if (rootModel) return rootModel;
+		if (rootModel) {
+			return rootModel;
+		}
 
 		// 2) streaming choice (delta) or final response (message)
 		const firstChoice = Array.isArray(root.choices) ? asRecord(root.choices[0]) : undefined;
-		if (!firstChoice) return undefined;
+		if (!firstChoice) {
+			return undefined;
+		}
 
 		// priority: delta.model (first chunk) else message.model (final response)
 		const deltaModel = getTrimmedString(asRecord(firstChoice.delta)?.model);
-		if (deltaModel) return deltaModel;
+		if (deltaModel) {
+			return deltaModel;
+		}
 
 		const messageModel = getTrimmedString(asRecord(firstChoice.message)?.model);
-		if (messageModel) return messageModel;
+		if (messageModel) {
+			return messageModel;
+		}
 
 		// avoid guessing from non-standard locations (metadata, etc.)
 		return undefined;
diff --git a/tools/server/webui/src/lib/services/database.ts b/tools/server/webui/src/lib/services/database.service.ts
similarity index 67%
rename from tools/server/webui/src/lib/services/database.ts
rename to tools/server/webui/src/lib/services/database.service.ts
index 3b24628cffa..53ec80c27ed 100644
--- a/tools/server/webui/src/lib/services/database.ts
+++ b/tools/server/webui/src/lib/services/database.service.ts
@@ -1,5 +1,5 @@
 import Dexie, { type EntityTable } from 'dexie';
-import { findDescendantMessages } from '$lib/utils';
+import { findDescendantMessages, uuid } from '$lib/utils';
 
 class LlamacppDatabase extends Dexie {
 	conversations!: EntityTable<DatabaseConversation, string>;
@@ -16,59 +16,16 @@ class LlamacppDatabase extends Dexie {
 }
 
 const db = new LlamacppDatabase();
-import { v4 as uuid } from 'uuid';
-
-/**
- * DatabaseService - Stateless IndexedDB communication layer
- *
- * **Terminology - Chat vs Conversation:**
- * - **Chat**: The active interaction space with the Chat Completions API (ephemeral, runtime).
- * - **Conversation**: The persistent database entity storing all messages and metadata.
- *   This service handles raw database operations for conversations - the lowest layer
- *   in the persistence stack.
- *
- * This service provides a stateless data access layer built on IndexedDB using Dexie ORM.
- * It handles all low-level storage operations for conversations and messages with support
- * for complex branching and message threading. All methods are static - no instance state.
- *
- * **Architecture & Relationships (bottom to top):**
- * - **DatabaseService** (this class): Stateless IndexedDB operations
- *   - Lowest layer - direct Dexie/IndexedDB communication
- *   - Pure CRUD operations without business logic
- *   - Handles branching tree structure (parent-child relationships)
- *   - Provides transaction safety for multi-table operations
- *
- * - **ConversationsService**: Stateless business logic layer
- *   - Uses DatabaseService for all persistence operations
- *   - Adds import/export, navigation, and higher-level operations
- *
- * - **conversationsStore**: Reactive state management for conversations
- *   - Uses ConversationsService for database operations
- *   - Manages conversation list, active conversation, and messages in memory
- *
- * - **chatStore**: Active AI interaction management
- *   - Uses conversationsStore for conversation context
- *   - Directly uses DatabaseService for message CRUD during streaming
- *
- * **Key Features:**
- * - **Conversation CRUD**: Create, read, update, delete conversations
- * - **Message CRUD**: Add, update, delete messages with branching support
- * - **Branch Operations**: Create branches, find descendants, cascade deletions
- * - **Transaction Safety**: Atomic operations for data consistency
- *
- * **Database Schema:**
- * - `conversations`: id, lastModified, currNode, name
- * - `messages`: id, convId, type, role, timestamp, parent, children
- *
- * **Branching Model:**
- * Messages form a tree structure where each message can have multiple children,
- * enabling conversation branching and alternative response paths. The conversation's
- * `currNode` tracks the currently active branch endpoint.
- */
+import { MessageRole } from '$lib/enums';
+
 export class DatabaseService {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Conversations
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Conversations
+	 *
+	 *
+	 */
 
 	/**
 	 * Creates a new conversation.
@@ -88,9 +45,13 @@ export class DatabaseService {
 		return conversation;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Messages
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Messages
+	 *
+	 *
+	 */
 
 	/**
 	 * Creates a new message branch by adding a message and updating parent/child relationships.
@@ -154,10 +115,9 @@ export class DatabaseService {
 			convId,
 			type: 'root',
 			timestamp: Date.now(),
-			role: 'system',
+			role: MessageRole.SYSTEM,
 			content: '',
 			parent: null,
-			thinking: '',
 			toolCalls: '',
 			children: []
 		};
@@ -188,12 +148,11 @@ export class DatabaseService {
 		const systemMessage: DatabaseMessage = {
 			id: uuid(),
 			convId,
-			type: 'system',
+			type: MessageRole.SYSTEM,
 			timestamp: Date.now(),
-			role: 'system',
+			role: MessageRole.SYSTEM,
 			content: trimmedPrompt,
 			parent: parentId,
-			thinking: '',
 			children: []
 		};
 
@@ -328,9 +287,13 @@ export class DatabaseService {
 		});
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Navigation
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Navigation
+	 *
+	 *
+	 */
 
 	/**
 	 * Updates the conversation's current node (active branch).
@@ -359,9 +322,13 @@ export class DatabaseService {
 		await db.messages.update(id, updates);
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Import
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Import
+	 *
+	 *
+	 */
 
 	/**
 	 * Imports multiple conversations and their messages.
diff --git a/tools/server/webui/src/lib/services/index.ts b/tools/server/webui/src/lib/services/index.ts
index c36c64a6fa9..7c98383d1f2 100644
--- a/tools/server/webui/src/lib/services/index.ts
+++ b/tools/server/webui/src/lib/services/index.ts
@@ -1,5 +1,262 @@
-export { ChatService } from './chat';
-export { DatabaseService } from './database';
-export { ModelsService } from './models';
-export { PropsService } from './props';
-export { ParameterSyncService } from './parameter-sync';
+/**
+ *
+ * SERVICES
+ *
+ * Stateless service layer for API communication and data operations.
+ * Services handle protocol-level concerns (HTTP, WebSocket, MCP, IndexedDB)
+ * without managing reactive state — that responsibility belongs to stores.
+ *
+ * **Design Principles:**
+ * - All methods are static — no instance state
+ * - Pure I/O operations (network requests, database queries)
+ * - No Svelte runes or reactive primitives
+ * - Error handling at the protocol level; business-level error handling in stores
+ *
+ * **Architecture (bottom to top):**
+ * - **Services** (this layer): Stateless protocol communication
+ * - **Stores**: Reactive state management consuming services
+ * - **Components**: UI consuming stores
+ *
+ */
+
+/**
+ * **ChatService** - Chat Completions API communication layer
+ *
+ * Handles direct communication with the llama-server's `/v1/chat/completions` endpoint.
+ * Provides streaming and non-streaming response parsing, message format conversion
+ * (DatabaseMessage → API format), and request lifecycle management.
+ *
+ * **Terminology - Chat vs Conversation:**
+ * - **Chat**: The active interaction space with the Chat Completions API. Ephemeral and
+ *   runtime-focused — sending messages, receiving streaming responses, managing request lifecycles.
+ * - **Conversation**: The persistent database entity storing all messages and metadata.
+ *   Managed by conversationsStore, conversations persist across sessions.
+ *
+ * **Architecture & Relationships:**
+ * - **ChatService** (this class): Stateless API communication layer
+ *   - Handles HTTP requests/responses with the llama-server
+ *   - Manages streaming and non-streaming response parsing
+ *   - Converts database messages to API format (multimodal, tool calls)
+ *   - Handles error translation with user-friendly messages
+ *
+ * - **chatStore**: Primary consumer — uses ChatService for all AI model communication
+ * - **agenticStore**: Uses ChatService for multi-turn agentic loop streaming
+ * - **conversationsStore**: Provides message context for API requests
+ *
+ * **Key Responsibilities:**
+ * - Streaming response handling with real-time content/reasoning/tool-call callbacks
+ * - Non-streaming response parsing with complete response extraction
+ * - Database message to API format conversion (attachments, tool calls, multimodal)
+ * - Tool call delta merging for incremental streaming aggregation
+ * - Request parameter assembly (sampling, penalties, custom params)
+ * - File attachment processing (images, PDFs, audio, text, MCP prompts/resources)
+ * - Reasoning content stripping from prompt history to avoid KV cache pollution
+ * - Error translation (network, timeout, server errors → user-friendly messages)
+ *
+ * @see chatStore in stores/chat.svelte.ts — primary consumer for chat state management
+ * @see agenticStore in stores/agentic.svelte.ts — uses ChatService for agentic loop streaming
+ * @see conversationsStore in stores/conversations.svelte.ts — provides message context
+ */
+export { ChatService } from './chat.service';
+
+/**
+ * **DatabaseService** - IndexedDB persistence layer via Dexie ORM
+ *
+ * Provides stateless data access for conversations and messages using IndexedDB.
+ * Handles all low-level storage operations including branching tree structures,
+ * cascade deletions, and transaction safety for multi-table operations.
+ *
+ * **Architecture & Relationships (bottom to top):**
+ * - **DatabaseService** (this class): Stateless IndexedDB operations
+ *   - Lowest layer — direct Dexie/IndexedDB communication
+ *   - Pure CRUD operations without business logic
+ *   - Handles branching tree structure (parent-child relationships)
+ *   - Provides transaction safety for multi-table operations
+ *
+ * - **conversationsStore**: Reactive state management layer
+ *   - Uses DatabaseService for all persistence operations
+ *   - Manages conversation list, active conversation, and messages in memory
+ *
+ * - **chatStore**: Active AI interaction management
+ *   - Uses conversationsStore for conversation context
+ *   - Directly uses DatabaseService for message CRUD during streaming
+ *
+ * **Key Responsibilities:**
+ * - Conversation CRUD (create, read, update, delete)
+ * - Message CRUD with branching support (parent-child relationships)
+ * - Root message and system prompt creation
+ * - Cascade deletion of message branches (descendants)
+ * - Transaction-safe multi-table operations
+ * - Conversation import with duplicate detection
+ *
+ * **Database Schema:**
+ * - `conversations`: id, lastModified, currNode, name
+ * - `messages`: id, convId, type, role, timestamp, parent, children
+ *
+ * **Branching Model:**
+ * Messages form a tree structure where each message can have multiple children,
+ * enabling conversation branching and alternative response paths. The conversation's
+ * `currNode` tracks the currently active branch endpoint.
+ *
+ * @see conversationsStore in stores/conversations.svelte.ts — reactive layer on top of DatabaseService
+ * @see chatStore in stores/chat.svelte.ts — uses DatabaseService directly for message CRUD during streaming
+ */
+export { DatabaseService } from './database.service';
+
+/**
+ * **ModelsService** - Model management API communication
+ *
+ * Handles communication with model-related endpoints for both MODEL (single model)
+ * and ROUTER (multi-model) server modes. Provides model listing, loading/unloading,
+ * and status checking without managing any model state.
+ *
+ * **Architecture & Relationships:**
+ * - **ModelsService** (this class): Stateless HTTP communication
+ *   - Sends requests to model endpoints
+ *   - Parses and returns typed API responses
+ *   - Provides model status utility methods
+ *
+ * - **modelsStore**: Primary consumer — manages reactive model state
+ *   - Calls ModelsService for all model API operations
+ *   - Handles polling, caching, and state updates
+ *
+ * **Key Responsibilities:**
+ * - List available models via OpenAI-compatible `/v1/models` endpoint
+ * - Load/unload models via `/models/load` and `/models/unload` (ROUTER mode)
+ * - Model status queries (loaded, loading)
+ *
+ * **Server Mode Behavior:**
+ * - **MODEL mode**: Only `list()` is relevant — single model always loaded
+ * - **ROUTER mode**: Full lifecycle — `list()`, `listRouter()`, `load()`, `unload()`
+ *
+ * **Endpoints:**
+ * - `GET /v1/models` — OpenAI-compatible model list (both modes)
+ * - `POST /models/load` — Load a model (ROUTER mode only)
+ * - `POST /models/unload` — Unload a model (ROUTER mode only)
+ *
+ * @see modelsStore in stores/models.svelte.ts — primary consumer for reactive model state
+ */
+export { ModelsService } from './models.service';
+
+/**
+ * **PropsService** - Server properties and capabilities retrieval
+ *
+ * Fetches server configuration, model information, and capabilities from the `/props`
+ * endpoint. Supports both global server props and per-model props (ROUTER mode).
+ *
+ * **Architecture & Relationships:**
+ * - **PropsService** (this class): Stateless HTTP communication
+ *   - Fetches server properties from `/props` endpoint
+ *   - Handles authentication and request parameters
+ *   - Returns typed `ApiLlamaCppServerProps` responses
+ *
+ * - **serverStore**: Consumes global server properties (role detection, connection state)
+ * - **modelsStore**: Consumes per-model properties (modalities, context size)
+ * - **settingsStore**: Syncs default generation parameters from props response
+ *
+ * **Key Responsibilities:**
+ * - Fetch global server properties (default generation settings, modalities)
+ * - Fetch per-model properties in ROUTER mode via `?model=<id>` parameter
+ * - Handle autoload control to prevent unintended model loading
+ *
+ * **API Behavior:**
+ * - `GET /props` → Global server props (MODEL mode: includes modalities)
+ * - `GET /props?model=<id>` → Per-model props (ROUTER mode: model-specific modalities)
+ * - `&autoload=false` → Prevents model auto-loading when querying props
+ *
+ * @see serverStore in stores/server.svelte.ts — consumes global server props
+ * @see modelsStore in stores/models.svelte.ts — consumes per-model props for modalities
+ * @see settingsStore in stores/settings.svelte.ts — syncs default generation params from props
+ */
+export { PropsService } from './props.service';
+
+/**
+ * **ParameterSyncService** - Server defaults and user settings synchronization
+ *
+ * Manages the complex logic of merging server-provided default parameters with
+ * user-configured overrides. Ensures the UI reflects the actual server state
+ * while preserving user customizations. Tracks parameter sources (server default
+ * vs user override) for display in the settings UI.
+ *
+ * **Architecture & Relationships:**
+ * - **ParameterSyncService** (this class): Stateless sync logic
+ *   - Pure functions for parameter extraction, merging, and diffing
+ *   - No side effects — receives data in, returns data out
+ *   - Handles floating-point precision normalization
+ *
+ * - **settingsStore**: Primary consumer — calls sync methods during:
+ *   - Initial load (`syncWithServerDefaults`)
+ *   - Settings reset (`forceSyncWithServerDefaults`)
+ *   - Parameter info queries (`getParameterInfo`)
+ *
+ * - **PropsService**: Provides raw server props that feed into extraction
+ *
+ * **Key Responsibilities:**
+ * - Extract syncable parameters from server `/props` response
+ * - Merge server defaults with user overrides (user wins)
+ * - Track parameter source (Custom vs Default) for UI badges
+ * - Validate server parameter values by type (number, string, boolean)
+ * - Create diffs between current settings and server defaults
+ * - Floating-point precision normalization for consistent comparisons
+ *
+ * **Parameter Source Priority:**
+ * 1. **User Override** (Custom badge) — explicitly set by user in settings
+ * 2. **Server Default** (Default badge) — from `/props` endpoint
+ * 3. **App Default** — hardcoded fallback when server props unavailable
+ *
+ * **Exports:**
+ * - `ParameterSyncService` class — static methods for sync logic
+ * - `SYNCABLE_PARAMETERS` — mapping of webui setting keys to server parameter keys
+ *
+ * @see settingsStore in stores/settings.svelte.ts — primary consumer for settings sync
+ * @see ChatSettingsParameterSourceIndicator — displays parameter source badges in UI
+ */
+export { ParameterSyncService } from './parameter-sync.service';
+
+/**
+ * **MCPService** - Low-level MCP protocol communication layer
+ *
+ * Implements the client-side MCP (Model Context Protocol) SDK operations for connecting
+ * to MCP servers, discovering capabilities, and executing protocol operations.
+ * Supports multiple transport types: WebSocket, StreamableHTTP, and SSE (legacy fallback).
+ *
+ * **Architecture & Relationships:**
+ * - **MCPService** (this class): Stateless protocol communication
+ *   - Creates and manages transport connections (WebSocket, StreamableHTTP, SSE)
+ *   - Wraps MCP SDK client operations with error handling
+ *   - Formats tool results and extracts server info
+ *   - Provides abort signal support for cancellable operations
+ *
+ * - **mcpStore**: Reactive business logic facade
+ *   - Uses MCPService for all protocol-level operations
+ *   - Manages connection lifecycle, health checks, reconnection
+ *   - Handles tool name conflict resolution and server coordination
+ *
+ * - **mcpResourceStore**: Reactive resource state
+ *   - Receives resource data fetched via MCPService
+ *   - Manages resource caching, subscriptions, and attachments
+ *
+ * - **agenticStore**: Agentic loop orchestration
+ *   - Executes tool calls via mcpStore → MCPService chain
+ *
+ * **Key Responsibilities:**
+ * - Transport creation with automatic fallback (StreamableHTTP → SSE)
+ * - Server connection with detailed phase tracking and progress callbacks
+ * - Tool discovery (`listTools`) and execution (`callTool`) with abort support
+ * - Prompt listing (`listPrompts`) and retrieval (`getPrompt`) with arguments
+ * - Resource operations: list, read, subscribe/unsubscribe, template support
+ * - Completion suggestions for prompt arguments and resource URI templates
+ * - CORS proxy routing via llama-server for cross-origin MCP servers
+ * - Tool result formatting (text, images, embedded resources)
+ *
+ * **Transport Hierarchy:**
+ * 1. **WebSocket** — bidirectional, no CORS proxy support
+ * 2. **StreamableHTTP** — modern HTTP-based, supports CORS proxy
+ * 3. **SSE** — legacy fallback, supports CORS proxy
+ *
+ * @see mcpStore in stores/mcp.svelte.ts — reactive business logic facade on top of MCPService
+ * @see mcpResourceStore in stores/mcp-resources.svelte.ts — reactive resource state management
+ * @see agenticStore in stores/agentic.svelte.ts — uses MCPService (via mcpStore) for tool execution
+ * @see MCP Protocol Specification: https://modelcontextprotocol.io/specification/2025-06-18
+ */
+export { MCPService } from './mcp.service';
diff --git a/tools/server/webui/src/lib/services/mcp.service.ts b/tools/server/webui/src/lib/services/mcp.service.ts
new file mode 100644
index 00000000000..b38d18676d5
--- /dev/null
+++ b/tools/server/webui/src/lib/services/mcp.service.ts
@@ -0,0 +1,772 @@
+import { Client } from '@modelcontextprotocol/sdk/client';
+import {
+	StreamableHTTPClientTransport,
+	StreamableHTTPError
+} from '@modelcontextprotocol/sdk/client/streamableHttp.js';
+import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js';
+import { WebSocketClientTransport } from '@modelcontextprotocol/sdk/client/websocket.js';
+import type {
+	Tool,
+	Prompt,
+	GetPromptResult,
+	ListChangedHandlers
+} from '@modelcontextprotocol/sdk/types.js';
+import type { Transport } from '@modelcontextprotocol/sdk/shared/transport.js';
+import {
+	DEFAULT_MCP_CONFIG,
+	DEFAULT_CLIENT_VERSION,
+	DEFAULT_IMAGE_MIME_TYPE
+} from '$lib/constants';
+import {
+	MCPConnectionPhase,
+	MCPLogLevel,
+	MCPTransportType,
+	MCPContentType,
+	MCPRefType
+} from '$lib/enums';
+import type {
+	MCPServerConfig,
+	ToolCallParams,
+	ToolExecutionResult,
+	Implementation,
+	ClientCapabilities,
+	MCPConnection,
+	MCPPhaseCallback,
+	MCPConnectionLog,
+	MCPServerInfo,
+	MCPResource,
+	MCPResourceTemplate,
+	MCPResourceContent,
+	MCPReadResourceResult
+} from '$lib/types';
+import { buildProxiedUrl, throwIfAborted, isAbortError, createBase64DataUrl } from '$lib/utils';
+
+interface ToolResultContentItem {
+	type: string;
+	text?: string;
+	data?: string;
+	mimeType?: string;
+	resource?: { text?: string; blob?: string; uri?: string };
+}
+
+interface ToolCallResult {
+	content?: ToolResultContentItem[];
+	isError?: boolean;
+	_meta?: Record<string, unknown>;
+}
+
+export class MCPService {
+	/**
+	 * Create a connection log entry for phase tracking.
+	 *
+	 * @param phase - The connection phase this log belongs to
+	 * @param message - Human-readable log message
+	 * @param level - Log severity level (default: INFO)
+	 * @param details - Optional structured details for debugging
+	 * @returns Formatted connection log entry
+	 */
+	private static createLog(
+		phase: MCPConnectionPhase,
+		message: string,
+		level: MCPLogLevel = MCPLogLevel.INFO,
+		details?: unknown
+	): MCPConnectionLog {
+		return {
+			timestamp: new Date(),
+			phase,
+			message,
+			level,
+			details
+		};
+	}
+
+	/**
+	 * Detect if an error indicates an expired/invalidated MCP session.
+	 * Per MCP spec 2025-11-25: HTTP 404 means session invalidated, client MUST
+	 * discard its session ID and start a new session with a fresh initialize request.
+	 *
+	 * @param error - The caught error to inspect
+	 * @returns true if the error is a StreamableHTTP 404 (session not found)
+	 */
+	static isSessionExpiredError(error: unknown): boolean {
+		return error instanceof StreamableHTTPError && error.code === 404;
+	}
+
+	/**
+	 * Create transport based on server configuration.
+	 * Supports WebSocket, StreamableHTTP (modern), and SSE (legacy) transports.
+	 * When `useProxy` is enabled, routes HTTP requests through llama-server's CORS proxy.
+	 *
+	 * **Fallback Order:**
+	 * 1. WebSocket — if explicitly configured (no CORS proxy support)
+	 * 2. StreamableHTTP — default for HTTP connections
+	 * 3. SSE — automatic fallback if StreamableHTTP fails
+	 *
+	 * @param config - Server configuration with url, transport type, proxy, and auth settings
+	 * @returns Object containing the created transport and the transport type used
+	 * @throws {Error} If url is missing, WebSocket + proxy combination, or all transports fail
+	 */
+	static createTransport(config: MCPServerConfig): {
+		transport: Transport;
+		type: MCPTransportType;
+	} {
+		if (!config.url) {
+			throw new Error('MCP server configuration is missing url');
+		}
+
+		const useProxy = config.useProxy ?? false;
+		const requestInit: RequestInit = {};
+
+		if (config.headers) {
+			requestInit.headers = config.headers;
+		}
+
+		if (config.credentials) {
+			requestInit.credentials = config.credentials;
+		}
+
+		if (config.transport === MCPTransportType.WEBSOCKET) {
+			if (useProxy) {
+				throw new Error(
+					'WebSocket transport is not supported when using CORS proxy. Use HTTP transport instead.'
+				);
+			}
+
+			const url = new URL(config.url);
+
+			if (import.meta.env.DEV) {
+				console.log(`[MCPService] Creating WebSocket transport for ${url.href}`);
+			}
+
+			return {
+				transport: new WebSocketClientTransport(url),
+				type: MCPTransportType.WEBSOCKET
+			};
+		}
+
+		const url = useProxy ? buildProxiedUrl(config.url) : new URL(config.url);
+
+		if (useProxy && import.meta.env.DEV) {
+			console.log(`[MCPService] Using CORS proxy for ${config.url} -> ${url.href}`);
+		}
+
+		try {
+			if (import.meta.env.DEV) {
+				console.log(`[MCPService] Creating StreamableHTTP transport for ${url.href}`);
+			}
+
+			return {
+				transport: new StreamableHTTPClientTransport(url, {
+					requestInit
+				}),
+				type: MCPTransportType.STREAMABLE_HTTP
+			};
+		} catch (httpError) {
+			console.warn(`[MCPService] StreamableHTTP failed, trying SSE transport...`, httpError);
+
+			try {
+				return {
+					transport: new SSEClientTransport(url, { requestInit }),
+					type: MCPTransportType.SSE
+				};
+			} catch (sseError) {
+				const httpMsg = httpError instanceof Error ? httpError.message : String(httpError);
+				const sseMsg = sseError instanceof Error ? sseError.message : String(sseError);
+
+				throw new Error(`Failed to create transport. StreamableHTTP: ${httpMsg}; SSE: ${sseMsg}`);
+			}
+		}
+	}
+
+	/**
+	 * Extract server info from SDK Implementation type.
+	 * Normalizes the SDK's server version response into our MCPServerInfo type.
+	 *
+	 * @param impl - Raw Implementation object from MCP SDK
+	 * @returns Normalized server info or undefined if input is empty
+	 */
+	private static extractServerInfo(impl: Implementation | undefined): MCPServerInfo | undefined {
+		if (!impl) {
+			return undefined;
+		}
+
+		return {
+			name: impl.name,
+			version: impl.version,
+			title: impl.title,
+			description: impl.description,
+			websiteUrl: impl.websiteUrl,
+			icons: impl.icons?.map((icon: { src: string; mimeType?: string; sizes?: string }) => ({
+				src: icon.src,
+				mimeType: icon.mimeType,
+				sizes: icon.sizes
+			}))
+		};
+	}
+
+	/**
+	 * Connect to a single MCP server with detailed phase tracking.
+	 *
+	 * Performs the full MCP connection lifecycle:
+	 * 1. Transport creation (with automatic fallback)
+	 * 2. Client initialization and capability exchange
+	 * 3. Tool discovery via `listTools`
+	 *
+	 * Reports progress via `onPhase` callback at each step, enabling
+	 * UI progress indicators during connection.
+	 *
+	 * @param serverName - Display name for the server (used in logging)
+	 * @param serverConfig - Server URL, transport type, proxy, and auth configuration
+	 * @param clientInfo - Optional client identification (defaults to app info)
+	 * @param capabilities - Optional client capability declaration
+	 * @param onPhase - Optional callback for connection phase progress updates
+	 * @param listChangedHandlers - Optional handlers for server-initiated list change notifications
+	 * @returns Full connection object with client, transport, tools, server info, and timing
+	 * @throws {Error} If transport creation or connection fails
+	 */
+	static async connect(
+		serverName: string,
+		serverConfig: MCPServerConfig,
+		clientInfo?: Implementation,
+		capabilities?: ClientCapabilities,
+		onPhase?: MCPPhaseCallback,
+		listChangedHandlers?: ListChangedHandlers
+	): Promise<MCPConnection> {
+		const startTime = performance.now();
+		const effectiveClientInfo = clientInfo ?? DEFAULT_MCP_CONFIG.clientInfo;
+		const effectiveCapabilities = capabilities ?? DEFAULT_MCP_CONFIG.capabilities;
+
+		// Phase: Creating transport
+		onPhase?.(
+			MCPConnectionPhase.TRANSPORT_CREATING,
+			this.createLog(
+				MCPConnectionPhase.TRANSPORT_CREATING,
+				`Creating transport for ${serverConfig.url}`
+			)
+		);
+
+		if (import.meta.env.DEV) {
+			console.log(`[MCPService][${serverName}] Creating transport...`);
+		}
+
+		const { transport, type: transportType } = this.createTransport(serverConfig);
+
+		// Setup WebSocket reconnection handler
+		if (transportType === MCPTransportType.WEBSOCKET) {
+			transport.onclose = () => {
+				console.log(`[MCPService][${serverName}] WebSocket closed, notifying for reconnection`);
+				onPhase?.(
+					MCPConnectionPhase.DISCONNECTED,
+					this.createLog(MCPConnectionPhase.DISCONNECTED, 'WebSocket connection closed')
+				);
+			};
+		}
+
+		// Phase: Transport ready
+		onPhase?.(
+			MCPConnectionPhase.TRANSPORT_READY,
+			this.createLog(MCPConnectionPhase.TRANSPORT_READY, `Transport ready (${transportType})`),
+			{ transportType }
+		);
+
+		const client = new Client(
+			{
+				name: effectiveClientInfo.name,
+				version: effectiveClientInfo.version ?? DEFAULT_CLIENT_VERSION
+			},
+			{
+				capabilities: effectiveCapabilities,
+				listChanged: listChangedHandlers
+			}
+		);
+
+		// Phase: Initializing
+		onPhase?.(
+			MCPConnectionPhase.INITIALIZING,
+			this.createLog(MCPConnectionPhase.INITIALIZING, 'Sending initialize request...')
+		);
+
+		console.log(`[MCPService][${serverName}] Connecting to server...`);
+		await client.connect(transport);
+
+		const serverVersion = client.getServerVersion();
+		const serverCapabilities = client.getServerCapabilities();
+		const instructions = client.getInstructions();
+		const serverInfo = this.extractServerInfo(serverVersion);
+
+		// Phase: Capabilities exchanged
+		onPhase?.(
+			MCPConnectionPhase.CAPABILITIES_EXCHANGED,
+			this.createLog(
+				MCPConnectionPhase.CAPABILITIES_EXCHANGED,
+				'Capabilities exchanged successfully',
+				MCPLogLevel.INFO,
+				{
+					serverCapabilities,
+					serverInfo
+				}
+			),
+			{
+				serverInfo,
+				serverCapabilities,
+				clientCapabilities: effectiveCapabilities,
+				instructions
+			}
+		);
+
+		// Phase: Listing tools
+		onPhase?.(
+			MCPConnectionPhase.LISTING_TOOLS,
+			this.createLog(MCPConnectionPhase.LISTING_TOOLS, 'Listing available tools...')
+		);
+
+		console.log(`[MCPService][${serverName}] Connected, listing tools...`);
+		const tools = await this.listTools({
+			client,
+			transport,
+			tools: [],
+			serverName,
+			transportType,
+			connectionTimeMs: 0
+		});
+
+		const connectionTimeMs = Math.round(performance.now() - startTime);
+
+		// Phase: Connected
+		onPhase?.(
+			MCPConnectionPhase.CONNECTED,
+			this.createLog(
+				MCPConnectionPhase.CONNECTED,
+				`Connection established with ${tools.length} tools (${connectionTimeMs}ms)`
+			)
+		);
+
+		console.log(
+			`[MCPService][${serverName}] Initialization complete with ${tools.length} tools in ${connectionTimeMs}ms`
+		);
+
+		return {
+			client,
+			transport,
+			tools,
+			serverName,
+			transportType,
+			serverInfo,
+			serverCapabilities,
+			clientCapabilities: effectiveCapabilities,
+			protocolVersion: DEFAULT_MCP_CONFIG.protocolVersion,
+			instructions,
+			connectionTimeMs
+		};
+	}
+
+	/**
+	 * Disconnect from a server.
+	 * Clears the `onclose` handler to prevent reconnection attempts on voluntary disconnect.
+	 *
+	 * @param connection - The active MCP connection to close
+	 */
+	static async disconnect(connection: MCPConnection): Promise<void> {
+		console.log(`[MCPService][${connection.serverName}] Disconnecting...`);
+		try {
+			// Prevent reconnection on voluntary disconnect
+			if (connection.transport.onclose) {
+				connection.transport.onclose = undefined;
+			}
+
+			await connection.client.close();
+		} catch (error) {
+			console.warn(`[MCPService][${connection.serverName}] Error during disconnect:`, error);
+		}
+	}
+
+	/**
+	 * List tools from a connection.
+	 * Silently returns empty array on failure (logged as warning).
+	 *
+	 * @param connection - The MCP connection to query
+	 * @returns Array of available tools, or empty array on error
+	 */
+	static async listTools(connection: MCPConnection): Promise<Tool[]> {
+		try {
+			const result = await connection.client.listTools();
+
+			return result.tools ?? [];
+		} catch (error) {
+			// Let session-expired errors propagate for reconnection handling
+			if (this.isSessionExpiredError(error)) {
+				throw error;
+			}
+
+			console.warn(`[MCPService][${connection.serverName}] Failed to list tools:`, error);
+
+			return [];
+		}
+	}
+
+	/**
+	 * List prompts from a connection.
+	 * Silently returns empty array on failure (logged as warning).
+	 *
+	 * @param connection - The MCP connection to query
+	 * @returns Array of available prompts, or empty array on error
+	 */
+	static async listPrompts(connection: MCPConnection): Promise<Prompt[]> {
+		try {
+			const result = await connection.client.listPrompts();
+
+			return result.prompts ?? [];
+		} catch (error) {
+			// Let session-expired errors propagate for reconnection handling
+			if (this.isSessionExpiredError(error)) {
+				throw error;
+			}
+
+			console.warn(`[MCPService][${connection.serverName}] Failed to list prompts:`, error);
+
+			return [];
+		}
+	}
+
+	/**
+	 * Get a specific prompt with arguments.
+	 * Unlike list operations, this throws on failure since the caller explicitly
+	 * requested a specific prompt and needs to handle the error.
+	 *
+	 * @param connection - The MCP connection to use
+	 * @param name - The prompt name to retrieve
+	 * @param args - Optional key-value arguments to pass to the prompt
+	 * @returns The prompt result with messages and metadata
+	 * @throws {Error} If the prompt retrieval fails
+	 */
+	static async getPrompt(
+		connection: MCPConnection,
+		name: string,
+		args?: Record<string, string>
+	): Promise<GetPromptResult> {
+		try {
+			return await connection.client.getPrompt({ name, arguments: args });
+		} catch (error) {
+			console.error(`[MCPService][${connection.serverName}] Failed to get prompt:`, error);
+
+			throw error;
+		}
+	}
+
+	/**
+	 * Execute a tool call on a connection.
+	 * Supports abort signal for cancellable operations (e.g., when user stops generation).
+	 * Formats the raw tool result into a string representation.
+	 *
+	 * @param connection - The MCP connection to execute against
+	 * @param params - Tool name and arguments to execute
+	 * @param signal - Optional AbortSignal for cancellation support
+	 * @returns Formatted tool execution result with content string and error flag
+	 * @throws {Error} If tool execution fails or is aborted
+	 */
+	static async callTool(
+		connection: MCPConnection,
+		params: ToolCallParams,
+		signal?: AbortSignal
+	): Promise<ToolExecutionResult> {
+		throwIfAborted(signal);
+
+		try {
+			const result = await connection.client.callTool(
+				{ name: params.name, arguments: params.arguments },
+				undefined,
+				{ signal }
+			);
+
+			return {
+				content: this.formatToolResult(result as ToolCallResult),
+				isError: (result as ToolCallResult).isError ?? false
+			};
+		} catch (error) {
+			if (isAbortError(error)) {
+				throw error;
+			}
+
+			// Let session-expired errors propagate unwrapped for reconnection handling
+			if (this.isSessionExpiredError(error)) {
+				throw error;
+			}
+
+			const message = error instanceof Error ? error.message : String(error);
+
+			throw new Error(
+				`Tool "${params.name}" execution failed on server "${connection.serverName}": ${message}`,
+				{ cause: error instanceof Error ? error : undefined }
+			);
+		}
+	}
+
+	/**
+	 * Format tool result content items to a single string.
+	 * Handles text, image (base64 data URL), and embedded resource content types.
+	 *
+	 * @param result - Raw tool call result from MCP SDK
+	 * @returns Concatenated string representation of all content items
+	 */
+	private static formatToolResult(result: ToolCallResult): string {
+		const content = result.content;
+		if (!Array.isArray(content)) return '';
+
+		return content
+			.map((item) => this.formatSingleContent(item))
+			.filter(Boolean)
+			.join('\n');
+	}
+
+	private static formatSingleContent(content: ToolResultContentItem): string {
+		if (content.type === MCPContentType.TEXT && content.text) {
+			return content.text;
+		}
+
+		if (content.type === MCPContentType.IMAGE && content.data) {
+			return createBase64DataUrl(content.mimeType ?? DEFAULT_IMAGE_MIME_TYPE, content.data);
+		}
+
+		if (content.type === MCPContentType.RESOURCE && content.resource) {
+			const resource = content.resource;
+
+			if (resource.text) return resource.text;
+			if (resource.blob) return resource.blob;
+
+			return JSON.stringify(resource);
+		}
+
+		if (content.data && content.mimeType) {
+			return createBase64DataUrl(content.mimeType, content.data);
+		}
+
+		return JSON.stringify(content);
+	}
+
+	/**
+	 *
+	 *
+	 * Completions Operations
+	 *
+	 *
+	 */
+
+	/**
+	 * Request completion suggestions from a server.
+	 * Used for autocompleting prompt arguments or resource URI templates.
+	 *
+	 * @param connection - The MCP connection to use
+	 * @param ref - Reference to the prompt or resource template
+	 * @param argument - The argument being completed (name and current value)
+	 * @returns Completion result with suggested values
+	 */
+	static async complete(
+		connection: MCPConnection,
+		ref: { type: MCPRefType.PROMPT; name: string } | { type: MCPRefType.RESOURCE; uri: string },
+		argument: { name: string; value: string }
+	): Promise<{ values: string[]; total?: number; hasMore?: boolean } | null> {
+		try {
+			const result = await connection.client.complete({
+				ref,
+				argument
+			});
+
+			return result.completion;
+		} catch (error) {
+			console.error(`[MCPService] Failed to get completions:`, error);
+
+			return null;
+		}
+	}
+
+	/**
+	 *
+	 *
+	 * Resources Operations
+	 *
+	 *
+	 */
+
+	/**
+	 * List resources from a connection.
+	 * @param connection - The MCP connection to use
+	 * @param cursor - Optional pagination cursor
+	 * @returns Array of available resources and optional next cursor
+	 */
+	static async listResources(
+		connection: MCPConnection,
+		cursor?: string
+	): Promise<{ resources: MCPResource[]; nextCursor?: string }> {
+		try {
+			const result = await connection.client.listResources(cursor ? { cursor } : undefined);
+
+			return {
+				resources: (result.resources ?? []) as MCPResource[],
+				nextCursor: result.nextCursor
+			};
+		} catch (error) {
+			if (this.isSessionExpiredError(error)) {
+				throw error;
+			}
+
+			console.warn(`[MCPService][${connection.serverName}] Failed to list resources:`, error);
+
+			return { resources: [] };
+		}
+	}
+
+	/**
+	 * List all resources from a connection (handles pagination automatically).
+	 * @param connection - The MCP connection to use
+	 * @returns Array of all available resources
+	 */
+	static async listAllResources(connection: MCPConnection): Promise<MCPResource[]> {
+		const allResources: MCPResource[] = [];
+		let cursor: string | undefined;
+
+		do {
+			const result = await this.listResources(connection, cursor);
+			allResources.push(...result.resources);
+			cursor = result.nextCursor;
+		} while (cursor);
+
+		return allResources;
+	}
+
+	/**
+	 * List resource templates from a connection.
+	 * @param connection - The MCP connection to use
+	 * @param cursor - Optional pagination cursor
+	 * @returns Array of available resource templates and optional next cursor
+	 */
+	static async listResourceTemplates(
+		connection: MCPConnection,
+		cursor?: string
+	): Promise<{ resourceTemplates: MCPResourceTemplate[]; nextCursor?: string }> {
+		try {
+			const result = await connection.client.listResourceTemplates(cursor ? { cursor } : undefined);
+
+			return {
+				resourceTemplates: (result.resourceTemplates ?? []) as MCPResourceTemplate[],
+				nextCursor: result.nextCursor
+			};
+		} catch (error) {
+			if (this.isSessionExpiredError(error)) {
+				throw error;
+			}
+
+			console.warn(
+				`[MCPService][${connection.serverName}] Failed to list resource templates:`,
+				error
+			);
+
+			return { resourceTemplates: [] };
+		}
+	}
+
+	/**
+	 * List all resource templates from a connection (handles pagination automatically).
+	 * @param connection - The MCP connection to use
+	 * @returns Array of all available resource templates
+	 */
+	static async listAllResourceTemplates(connection: MCPConnection): Promise<MCPResourceTemplate[]> {
+		const allTemplates: MCPResourceTemplate[] = [];
+		let cursor: string | undefined;
+
+		do {
+			const result = await this.listResourceTemplates(connection, cursor);
+			allTemplates.push(...result.resourceTemplates);
+			cursor = result.nextCursor;
+		} while (cursor);
+
+		return allTemplates;
+	}
+
+	/**
+	 * Read the contents of a resource.
+	 * @param connection - The MCP connection to use
+	 * @param uri - The URI of the resource to read
+	 * @returns The resource contents
+	 */
+	static async readResource(
+		connection: MCPConnection,
+		uri: string
+	): Promise<MCPReadResourceResult> {
+		try {
+			const result = await connection.client.readResource({ uri });
+
+			return {
+				contents: (result.contents ?? []) as MCPResourceContent[],
+				_meta: result._meta
+			};
+		} catch (error) {
+			console.error(`[MCPService][${connection.serverName}] Failed to read resource:`, error);
+
+			throw error;
+		}
+	}
+
+	/**
+	 * Subscribe to updates for a resource.
+	 * The server will send notifications/resources/updated when the resource changes.
+	 * @param connection - The MCP connection to use
+	 * @param uri - The URI of the resource to subscribe to
+	 */
+	static async subscribeResource(connection: MCPConnection, uri: string): Promise<void> {
+		try {
+			await connection.client.subscribeResource({ uri });
+
+			console.log(`[MCPService][${connection.serverName}] Subscribed to resource: ${uri}`);
+		} catch (error) {
+			console.error(
+				`[MCPService][${connection.serverName}] Failed to subscribe to resource:`,
+				error
+			);
+
+			throw error;
+		}
+	}
+
+	/**
+	 * Unsubscribe from updates for a resource.
+	 * @param connection - The MCP connection to use
+	 * @param uri - The URI of the resource to unsubscribe from
+	 */
+	static async unsubscribeResource(connection: MCPConnection, uri: string): Promise<void> {
+		try {
+			await connection.client.unsubscribeResource({ uri });
+
+			console.log(`[MCPService][${connection.serverName}] Unsubscribed from resource: ${uri}`);
+		} catch (error) {
+			console.error(
+				`[MCPService][${connection.serverName}] Failed to unsubscribe from resource:`,
+				error
+			);
+
+			throw error;
+		}
+	}
+
+	/**
+	 * Check if a connection supports resources.
+	 * Per MCP spec: presence of the `resources` key (even as empty object `{}`) indicates support.
+	 * Empty object means resources are supported but no sub-features (subscribe, listChanged).
+	 *
+	 * @param connection - The MCP connection to check
+	 * @returns Whether the server declares the resources capability
+	 */
+	static supportsResources(connection: MCPConnection): boolean {
+		// Per MCP spec: "Servers that support resources MUST declare the resources capability"
+		// The presence of the key indicates support, even if it's an empty object
+		return connection.serverCapabilities?.resources !== undefined;
+	}
+
+	/**
+	 * Check if a connection supports resource subscriptions.
+	 * @param connection - The MCP connection to check
+	 * @returns Whether the server supports resource subscriptions
+	 */
+	static supportsResourceSubscriptions(connection: MCPConnection): boolean {
+		return !!connection.serverCapabilities?.resources?.subscribe;
+	}
+}
diff --git a/tools/server/webui/src/lib/services/models.service.ts b/tools/server/webui/src/lib/services/models.service.ts
new file mode 100644
index 00000000000..de90c48cf00
--- /dev/null
+++ b/tools/server/webui/src/lib/services/models.service.ts
@@ -0,0 +1,195 @@
+import { ServerModelStatus } from '$lib/enums';
+import { apiFetch, apiPost } from '$lib/utils';
+import type { ParsedModelId } from '$lib/types/models';
+import {
+	MODEL_FORMAT_SEGMENT_RE,
+	MODEL_PARAMS_RE,
+	MODEL_ACTIVATED_PARAMS_RE,
+	MODEL_ID_NOT_FOUND,
+	MODEL_ID_ORG_SEPARATOR,
+	MODEL_ID_SEGMENT_SEPARATOR,
+	MODEL_ID_QUANTIZATION_SEPARATOR,
+	API_MODELS
+} from '$lib/constants';
+
+export class ModelsService {
+	/**
+	 *
+	 *
+	 * Listing
+	 *
+	 *
+	 */
+
+	/**
+	 * Fetch list of models from OpenAI-compatible endpoint.
+	 * Works in both MODEL and ROUTER modes.
+	 *
+	 * @returns List of available models with basic metadata
+	 */
+	static async list(): Promise<ApiModelListResponse> {
+		return apiFetch<ApiModelListResponse>(API_MODELS.LIST);
+	}
+
+	/**
+	 * Fetch list of all models with detailed metadata (ROUTER mode).
+	 * Returns models with load status, paths, and other metadata
+	 * beyond what the OpenAI-compatible endpoint provides.
+	 *
+	 * @returns List of models with detailed status and configuration info
+	 */
+	static async listRouter(): Promise<ApiRouterModelsListResponse> {
+		return apiFetch<ApiRouterModelsListResponse>(API_MODELS.LIST);
+	}
+
+	/**
+	 *
+	 *
+	 * Load/Unload
+	 *
+	 *
+	 */
+
+	/**
+	 * Load a model (ROUTER mode only).
+	 * Sends POST request to `/models/load`. Note: the endpoint returns success
+	 * before loading completes — use polling to await actual load status.
+	 *
+	 * @param modelId - Model identifier to load
+	 * @param extraArgs - Optional additional arguments to pass to the model instance
+	 * @returns Load response from the server
+	 */
+	static async load(modelId: string, extraArgs?: string[]): Promise<ApiRouterModelsLoadResponse> {
+		const payload: { model: string; extra_args?: string[] } = { model: modelId };
+		if (extraArgs && extraArgs.length > 0) {
+			payload.extra_args = extraArgs;
+		}
+
+		return apiPost<ApiRouterModelsLoadResponse>(API_MODELS.LOAD, payload);
+	}
+
+	/**
+	 * Unload a model (ROUTER mode only).
+	 * Sends POST request to `/models/unload`. Note: the endpoint returns success
+	 * before unloading completes — use polling to await actual unload status.
+	 *
+	 * @param modelId - Model identifier to unload
+	 * @returns Unload response from the server
+	 */
+	static async unload(modelId: string): Promise<ApiRouterModelsUnloadResponse> {
+		return apiPost<ApiRouterModelsUnloadResponse>(API_MODELS.UNLOAD, { model: modelId });
+	}
+
+	/**
+	 *
+	 *
+	 * Status
+	 *
+	 *
+	 */
+
+	/**
+	 * Check if a model is loaded based on its metadata.
+	 *
+	 * @param model - Model data entry from the API response
+	 * @returns True if the model status is LOADED
+	 */
+	static isModelLoaded(model: ApiModelDataEntry): boolean {
+		return model.status.value === ServerModelStatus.LOADED;
+	}
+
+	/**
+	 * Check if a model is currently loading.
+	 *
+	 * @param model - Model data entry from the API response
+	 * @returns True if the model status is LOADING
+	 */
+	static isModelLoading(model: ApiModelDataEntry): boolean {
+		return model.status.value === ServerModelStatus.LOADING;
+	}
+
+	/**
+	 *
+	 *
+	 * Parsing
+	 *
+	 *
+	 */
+
+	/**
+	 * Parse a model ID string into its structured components.
+	 *
+	 * Handles the convention:
+	 *   `<org>/<ModelName>-<Parameters>(-<ActivatedParameters>)-<Format>:<QuantizationType>`
+	 *
+	 * @param modelId - Raw model identifier string
+	 * @returns Structured {@link ParsedModelId} with all detected fields
+	 */
+	static parseModelId(modelId: string): ParsedModelId {
+		const result: ParsedModelId = {
+			raw: modelId,
+			orgName: null,
+			modelName: null,
+			params: null,
+			activatedParams: null,
+			format: null,
+			quantization: null,
+			tags: []
+		};
+
+		const colonIdx = modelId.indexOf(MODEL_ID_QUANTIZATION_SEPARATOR);
+		let modelPath: string;
+
+		if (colonIdx !== MODEL_ID_NOT_FOUND) {
+			result.quantization = modelId.slice(colonIdx + 1) || null;
+			modelPath = modelId.slice(0, colonIdx);
+		} else {
+			modelPath = modelId;
+		}
+
+		const slashIdx = modelPath.indexOf(MODEL_ID_ORG_SEPARATOR);
+		let modelStr: string;
+
+		if (slashIdx !== MODEL_ID_NOT_FOUND) {
+			result.orgName = modelPath.slice(0, slashIdx);
+			modelStr = modelPath.slice(slashIdx + 1);
+		} else {
+			modelStr = modelPath;
+		}
+
+		const segments = modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);
+
+		if (segments.length > 0 && MODEL_FORMAT_SEGMENT_RE.test(segments[segments.length - 1])) {
+			result.format = segments.pop()!;
+		}
+
+		const paramsRe = MODEL_PARAMS_RE;
+		const activatedParamsRe = MODEL_ACTIVATED_PARAMS_RE;
+
+		let paramsIdx = MODEL_ID_NOT_FOUND;
+		let activatedParamsIdx = MODEL_ID_NOT_FOUND;
+
+		for (let i = 0; i < segments.length; i++) {
+			const seg = segments[i];
+			if (paramsIdx === -1 && paramsRe.test(seg)) {
+				paramsIdx = i;
+				result.params = seg.toUpperCase();
+			} else if (activatedParamsRe.test(seg)) {
+				activatedParamsIdx = i;
+				result.activatedParams = seg.toUpperCase();
+			}
+		}
+
+		const pivotIdx = paramsIdx !== MODEL_ID_NOT_FOUND ? paramsIdx : segments.length;
+
+		result.modelName = segments.slice(0, pivotIdx).join(MODEL_ID_SEGMENT_SEPARATOR) || null;
+
+		if (paramsIdx !== MODEL_ID_NOT_FOUND) {
+			result.tags = segments
+				.slice(paramsIdx + 1)
+				.filter((_, relIdx) => paramsIdx + 1 + relIdx !== activatedParamsIdx);
+		}
+
+		return result;
+	}
+}
diff --git a/tools/server/webui/src/lib/services/models.ts b/tools/server/webui/src/lib/services/models.ts
deleted file mode 100644
index eecb7fa2628..00000000000
--- a/tools/server/webui/src/lib/services/models.ts
+++ /dev/null
@@ -1,124 +0,0 @@
-import { base } from '$app/paths';
-import { ServerModelStatus } from '$lib/enums';
-import { getJsonHeaders } from '$lib/utils';
-
-/**
- * ModelsService - Stateless service for model management API communication
- *
- * This service handles communication with model-related endpoints:
- * - `/v1/models` - OpenAI-compatible model list (MODEL + ROUTER mode)
- * - `/models/load`, `/models/unload` - Router-specific model management (ROUTER mode only)
- *
- * **Responsibilities:**
- * - List available models
- * - Load/unload models (ROUTER mode)
- * - Check model status (ROUTER mode)
- *
- * **Used by:**
- * - modelsStore: Primary consumer for model state management
- */
-export class ModelsService {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Listing
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Fetch list of models from OpenAI-compatible endpoint
-	 * Works in both MODEL and ROUTER modes
-	 */
-	static async list(): Promise<ApiModelListResponse> {
-		const response = await fetch(`${base}/v1/models`, {
-			headers: getJsonHeaders()
-		});
-
-		if (!response.ok) {
-			throw new Error(`Failed to fetch model list (status ${response.status})`);
-		}
-
-		return response.json() as Promise<ApiModelListResponse>;
-	}
-
-	/**
-	 * Fetch list of all models with detailed metadata (ROUTER mode)
-	 * Returns models with load status, paths, and other metadata
-	 */
-	static async listRouter(): Promise<ApiRouterModelsListResponse> {
-		const response = await fetch(`${base}/v1/models`, {
-			headers: getJsonHeaders()
-		});
-
-		if (!response.ok) {
-			throw new Error(`Failed to fetch router models list (status ${response.status})`);
-		}
-
-		return response.json() as Promise<ApiRouterModelsListResponse>;
-	}
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Load/Unload
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Load a model (ROUTER mode)
-	 * POST /models/load
-	 * @param modelId - Model identifier to load
-	 * @param extraArgs - Optional additional arguments to pass to the model instance
-	 */
-	static async load(modelId: string, extraArgs?: string[]): Promise<ApiRouterModelsLoadResponse> {
-		const payload: { model: string; extra_args?: string[] } = { model: modelId };
-		if (extraArgs && extraArgs.length > 0) {
-			payload.extra_args = extraArgs;
-		}
-
-		const response = await fetch(`${base}/models/load`, {
-			method: 'POST',
-			headers: getJsonHeaders(),
-			body: JSON.stringify(payload)
-		});
-
-		if (!response.ok) {
-			const errorData = await response.json().catch(() => ({}));
-			throw new Error(errorData.error || `Failed to load model (status ${response.status})`);
-		}
-
-		return response.json() as Promise<ApiRouterModelsLoadResponse>;
-	}
-
-	/**
-	 * Unload a model (ROUTER mode)
-	 * POST /models/unload
-	 * @param modelId - Model identifier to unload
-	 */
-	static async unload(modelId: string): Promise<ApiRouterModelsUnloadResponse> {
-		const response = await fetch(`${base}/models/unload`, {
-			method: 'POST',
-			headers: getJsonHeaders(),
-			body: JSON.stringify({ model: modelId })
-		});
-
-		if (!response.ok) {
-			const errorData = await response.json().catch(() => ({}));
-			throw new Error(errorData.error || `Failed to unload model (status ${response.status})`);
-		}
-
-		return response.json() as Promise<ApiRouterModelsUnloadResponse>;
-	}
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Status
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Check if a model is loaded based on its metadata
-	 */
-	static isModelLoaded(model: ApiModelDataEntry): boolean {
-		return model.status.value === ServerModelStatus.LOADED;
-	}
-
-	/**
-	 * Check if a model is currently loading
-	 */
-	static isModelLoading(model: ApiModelDataEntry): boolean {
-		return model.status.value === ServerModelStatus.LOADING;
-	}
-}
diff --git a/tools/server/webui/src/lib/services/parameter-sync.spec.ts b/tools/server/webui/src/lib/services/parameter-sync.service.spec.ts
similarity index 96%
rename from tools/server/webui/src/lib/services/parameter-sync.spec.ts
rename to tools/server/webui/src/lib/services/parameter-sync.service.spec.ts
index 6b5c58ad4dc..ce91de7410d 100644
--- a/tools/server/webui/src/lib/services/parameter-sync.spec.ts
+++ b/tools/server/webui/src/lib/services/parameter-sync.service.spec.ts
@@ -1,5 +1,6 @@
 import { describe, it, expect } from 'vitest';
-import { ParameterSyncService } from './parameter-sync';
+import { ParameterSyncService } from './parameter-sync.service';
+import { ColorMode } from '$lib/enums';
 
 describe('ParameterSyncService', () => {
 	describe('roundFloatingPoint', () => {
@@ -136,7 +137,7 @@ describe('ParameterSyncService', () => {
 				pasteLongTextToFileLen: 0,
 				pdfAsImage: true,
 				renderUserContentAsMarkdown: false,
-				theme: 'dark'
+				theme: ColorMode.DARK
 			});
 
 			expect(result.pasteLongTextToFileLen).toBe(0);
diff --git a/tools/server/webui/src/lib/services/parameter-sync.service.ts b/tools/server/webui/src/lib/services/parameter-sync.service.ts
new file mode 100644
index 00000000000..1acb5ce453d
--- /dev/null
+++ b/tools/server/webui/src/lib/services/parameter-sync.service.ts
@@ -0,0 +1,390 @@
+import { normalizeFloatingPoint } from '$lib/utils';
+import type { SyncableParameter, ParameterRecord, ParameterInfo, ParameterValue } from '$lib/types';
+import { SyncableParameterType, ParameterSource } from '$lib/enums';
+
+/**
+ * Mapping of webui setting keys to server parameter keys.
+ * Only parameters listed here can be synced from the server `/props` endpoint.
+ * Each entry defines the webui key, corresponding server key, value type,
+ * and whether sync is enabled.
+ */
+export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
+	{
+		key: 'temperature',
+		serverKey: 'temperature',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{ key: 'top_k', serverKey: 'top_k', type: SyncableParameterType.NUMBER, canSync: true },
+	{ key: 'top_p', serverKey: 'top_p', type: SyncableParameterType.NUMBER, canSync: true },
+	{ key: 'min_p', serverKey: 'min_p', type: SyncableParameterType.NUMBER, canSync: true },
+	{
+		key: 'dynatemp_range',
+		serverKey: 'dynatemp_range',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'dynatemp_exponent',
+		serverKey: 'dynatemp_exponent',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'xtc_probability',
+		serverKey: 'xtc_probability',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'xtc_threshold',
+		serverKey: 'xtc_threshold',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{ key: 'typ_p', serverKey: 'typ_p', type: SyncableParameterType.NUMBER, canSync: true },
+	{
+		key: 'repeat_last_n',
+		serverKey: 'repeat_last_n',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'repeat_penalty',
+		serverKey: 'repeat_penalty',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'presence_penalty',
+		serverKey: 'presence_penalty',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'frequency_penalty',
+		serverKey: 'frequency_penalty',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'dry_multiplier',
+		serverKey: 'dry_multiplier',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{ key: 'dry_base', serverKey: 'dry_base', type: SyncableParameterType.NUMBER, canSync: true },
+	{
+		key: 'dry_allowed_length',
+		serverKey: 'dry_allowed_length',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'dry_penalty_last_n',
+		serverKey: 'dry_penalty_last_n',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{ key: 'max_tokens', serverKey: 'max_tokens', type: SyncableParameterType.NUMBER, canSync: true },
+	{ key: 'samplers', serverKey: 'samplers', type: SyncableParameterType.STRING, canSync: true },
+	{
+		key: 'pasteLongTextToFileLen',
+		serverKey: 'pasteLongTextToFileLen',
+		type: SyncableParameterType.NUMBER,
+		canSync: true
+	},
+	{
+		key: 'pdfAsImage',
+		serverKey: 'pdfAsImage',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'showThoughtInProgress',
+		serverKey: 'showThoughtInProgress',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'keepStatsVisible',
+		serverKey: 'keepStatsVisible',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'showMessageStats',
+		serverKey: 'showMessageStats',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'askForTitleConfirmation',
+		serverKey: 'askForTitleConfirmation',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'disableAutoScroll',
+		serverKey: 'disableAutoScroll',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'renderUserContentAsMarkdown',
+		serverKey: 'renderUserContentAsMarkdown',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'autoMicOnEmpty',
+		serverKey: 'autoMicOnEmpty',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'pyInterpreterEnabled',
+		serverKey: 'pyInterpreterEnabled',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'enableContinueGeneration',
+		serverKey: 'enableContinueGeneration',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
+	{
+		key: 'fullHeightCodeBlocks',
+		serverKey: 'fullHeightCodeBlocks',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	}
+];
+
+export class ParameterSyncService {
+	/**
+	 *
+	 *
+	 * Extraction
+	 *
+	 *
+	 */
+
+	/**
+	 * Round floating-point numbers to avoid JavaScript precision issues.
+	 * E.g., 0.1 + 0.2 = 0.30000000000000004 → 0.3
+	 *
+	 * @param value - Parameter value to normalize
+	 * @returns Precision-normalized value
+	 */
+	private static roundFloatingPoint(value: ParameterValue): ParameterValue {
+		return normalizeFloatingPoint(value) as ParameterValue;
+	}
+
+	/**
+	 * Extract server default parameters that can be synced from `/props` response.
+	 * Handles both generation settings parameters and webui-specific settings.
+	 * Converts samplers array to semicolon-delimited string for UI display.
+	 *
+	 * @param serverParams - Raw generation settings from server `/props` endpoint
+	 * @param webuiSettings - Optional webui-specific settings from server
+	 * @returns Record of extracted parameter key-value pairs with normalized precision
+	 */
+	static extractServerDefaults(
+		serverParams: ApiLlamaCppServerProps['default_generation_settings']['params'] | null,
+		webuiSettings?: Record<string, string | number | boolean>
+	): ParameterRecord {
+		const extracted: ParameterRecord = {};
+
+		if (serverParams) {
+			for (const param of SYNCABLE_PARAMETERS) {
+				if (param.canSync && param.serverKey in serverParams) {
+					const value = (serverParams as unknown as Record<string, ParameterValue>)[
+						param.serverKey
+					];
+					if (value !== undefined) {
+						// Apply precision rounding to avoid JavaScript floating-point issues
+						extracted[param.key] = this.roundFloatingPoint(value);
+					}
+				}
+			}
+
+			// Handle samplers array conversion to string
+			if (serverParams.samplers && Array.isArray(serverParams.samplers)) {
+				extracted.samplers = serverParams.samplers.join(';');
+			}
+		}
+
+		if (webuiSettings) {
+			for (const param of SYNCABLE_PARAMETERS) {
+				if (param.canSync && param.serverKey in webuiSettings) {
+					const value = webuiSettings[param.serverKey];
+					if (value !== undefined) {
+						extracted[param.key] = this.roundFloatingPoint(value);
+					}
+				}
+			}
+		}
+
+		return extracted;
+	}
+
+	/**
+	 *
+	 *
+	 * Merging
+	 *
+	 *
+	 */
+
+	/**
+	 * Merge server defaults with current user settings.
+	 * User overrides always take priority — only parameters not in `userOverrides`
+	 * set will be updated from server defaults.
+	 *
+	 * @param currentSettings - Current parameter values in the settings store
+	 * @param serverDefaults - Default values extracted from server props
+	 * @param userOverrides - Set of parameter keys explicitly overridden by the user
+	 * @returns Merged parameter record with user overrides preserved
+	 */
+	static mergeWithServerDefaults(
+		currentSettings: ParameterRecord,
+		serverDefaults: ParameterRecord,
+		userOverrides: Set<string> = new Set()
+	): ParameterRecord {
+		const merged = { ...currentSettings };
+
+		for (const [key, serverValue] of Object.entries(serverDefaults)) {
+			// Only update if user hasn't explicitly overridden this parameter
+			if (!userOverrides.has(key)) {
+				merged[key] = this.roundFloatingPoint(serverValue);
+			}
+		}
+
+		return merged;
+	}
+
+	/**
+	 *
+	 *
+	 * Info
+	 *
+	 *
+	 */
+
+	/**
+	 * Get parameter information including source and values.
+	 * Used by ChatSettingsParameterSourceIndicator to display the correct badge
+	 * (Custom vs Default) for each parameter in the settings UI.
+	 *
+	 * @param key - The parameter key to get info for
+	 * @param currentValue - The current value of the parameter
+	 * @param propsDefaults - Server default values from `/props`
+	 * @param userOverrides - Set of parameter keys explicitly overridden by the user
+	 * @returns Parameter info with source, server default, and user override values
+	 */
+	static getParameterInfo(
+		key: string,
+		currentValue: ParameterValue,
+		propsDefaults: ParameterRecord,
+		userOverrides: Set<string>
+	): ParameterInfo {
+		const hasPropsDefault = propsDefaults[key] !== undefined;
+		const isUserOverride = userOverrides.has(key);
+
+		// Simple logic: either using default (from props) or custom (user override)
+		const source = isUserOverride ? ParameterSource.CUSTOM : ParameterSource.DEFAULT;
+
+		return {
+			value: currentValue,
+			source,
+			serverDefault: hasPropsDefault ? propsDefaults[key] : undefined, // Keep same field name for compatibility
+			userOverride: isUserOverride ? currentValue : undefined
+		};
+	}
+
+	/**
+	 * Check if a parameter can be synced from server.
+	 *
+	 * @param key - The parameter key to check
+	 * @returns True if the parameter is in the syncable parameters list
+	 */
+	static canSyncParameter(key: string): boolean {
+		return SYNCABLE_PARAMETERS.some((param) => param.key === key && param.canSync);
+	}
+
+	/**
+	 * Get all syncable parameter keys.
+	 *
+	 * @returns Array of parameter keys that can be synced from server
+	 */
+	static getSyncableParameterKeys(): string[] {
+		return SYNCABLE_PARAMETERS.filter((param) => param.canSync).map((param) => param.key);
+	}
+
+	/**
+	 * Validate a server parameter value against its expected type.
+	 *
+	 * @param key - The parameter key to validate
+	 * @param value - The value to validate
+	 * @returns True if value matches the expected type for this parameter
+	 */
+	static validateServerParameter(key: string, value: ParameterValue): boolean {
+		const param = SYNCABLE_PARAMETERS.find((p) => p.key === key);
+		if (!param) return false;
+
+		switch (param.type) {
+			case SyncableParameterType.NUMBER:
+				return typeof value === 'number' && !isNaN(value);
+			case SyncableParameterType.STRING:
+				return typeof value === 'string';
+			case SyncableParameterType.BOOLEAN:
+				return typeof value === 'boolean';
+			default:
+				return false;
+		}
+	}
+
+	/**
+	 *
+	 *
+	 * Diff
+	 *
+	 *
+	 */
+
+	/**
+	 * Create a diff between current settings and server defaults.
+	 * Shows which parameters differ from server values, useful for debugging
+	 * and for the "Reset to defaults" functionality.
+	 *
+	 * @param currentSettings - Current parameter values in the settings store
+	 * @param serverDefaults - Default values extracted from server props
+	 * @returns Record of parameter diffs with current value, server value, and whether they differ
+	 */
+	static createParameterDiff(
+		currentSettings: ParameterRecord,
+		serverDefaults: ParameterRecord
+	): Record<string, { current: ParameterValue; server: ParameterValue; differs: boolean }> {
+		const diff: Record<
+			string,
+			{ current: ParameterValue; server: ParameterValue; differs: boolean }
+		> = {};
+
+		for (const key of this.getSyncableParameterKeys()) {
+			const currentValue = currentSettings[key];
+			const serverValue = serverDefaults[key];
+
+			if (serverValue !== undefined) {
+				diff[key] = {
+					current: currentValue,
+					server: serverValue,
+					differs: currentValue !== serverValue
+				};
+			}
+		}
+
+		return diff;
+	}
+}
diff --git a/tools/server/webui/src/lib/services/parameter-sync.ts b/tools/server/webui/src/lib/services/parameter-sync.ts
deleted file mode 100644
index d124cf5c8da..00000000000
--- a/tools/server/webui/src/lib/services/parameter-sync.ts
+++ /dev/null
@@ -1,279 +0,0 @@
-/**
- * ParameterSyncService - Handles synchronization between server defaults and user settings
- *
- * This service manages the complex logic of merging server-provided default parameters
- * with user-configured overrides, ensuring the UI reflects the actual server state
- * while preserving user customizations.
- *
- * **Key Responsibilities:**
- * - Extract syncable parameters from server props
- * - Merge server defaults with user overrides
- * - Track parameter sources (server, user, default)
- * - Provide sync utilities for settings store integration
- */
-
-import { normalizeFloatingPoint } from '$lib/utils';
-
-export type ParameterSource = 'default' | 'custom';
-export type ParameterValue = string | number | boolean;
-export type ParameterRecord = Record<string, ParameterValue>;
-
-export interface ParameterInfo {
-	value: string | number | boolean;
-	source: ParameterSource;
-	serverDefault?: string | number | boolean;
-	userOverride?: string | number | boolean;
-}
-
-export interface SyncableParameter {
-	key: string;
-	serverKey: string;
-	type: 'number' | 'string' | 'boolean';
-	canSync: boolean;
-}
-
-/**
- * Mapping of webui setting keys to server parameter keys
- * Only parameters that should be synced from server are included
- */
-export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
-	{ key: 'temperature', serverKey: 'temperature', type: 'number', canSync: true },
-	{ key: 'top_k', serverKey: 'top_k', type: 'number', canSync: true },
-	{ key: 'top_p', serverKey: 'top_p', type: 'number', canSync: true },
-	{ key: 'min_p', serverKey: 'min_p', type: 'number', canSync: true },
-	{ key: 'dynatemp_range', serverKey: 'dynatemp_range', type: 'number', canSync: true },
-	{ key: 'dynatemp_exponent', serverKey: 'dynatemp_exponent', type: 'number', canSync: true },
-	{ key: 'xtc_probability', serverKey: 'xtc_probability', type: 'number', canSync: true },
-	{ key: 'xtc_threshold', serverKey: 'xtc_threshold', type: 'number', canSync: true },
-	{ key: 'typ_p', serverKey: 'typ_p', type: 'number', canSync: true },
-	{ key: 'repeat_last_n', serverKey: 'repeat_last_n', type: 'number', canSync: true },
-	{ key: 'repeat_penalty', serverKey: 'repeat_penalty', type: 'number', canSync: true },
-	{ key: 'presence_penalty', serverKey: 'presence_penalty', type: 'number', canSync: true },
-	{ key: 'frequency_penalty', serverKey: 'frequency_penalty', type: 'number', canSync: true },
-	{ key: 'dry_multiplier', serverKey: 'dry_multiplier', type: 'number', canSync: true },
-	{ key: 'dry_base', serverKey: 'dry_base', type: 'number', canSync: true },
-	{ key: 'dry_allowed_length', serverKey: 'dry_allowed_length', type: 'number', canSync: true },
-	{ key: 'dry_penalty_last_n', serverKey: 'dry_penalty_last_n', type: 'number', canSync: true },
-	{ key: 'max_tokens', serverKey: 'max_tokens', type: 'number', canSync: true },
-	{ key: 'samplers', serverKey: 'samplers', type: 'string', canSync: true },
-	{
-		key: 'pasteLongTextToFileLen',
-		serverKey: 'pasteLongTextToFileLen',
-		type: 'number',
-		canSync: true
-	},
-	{ key: 'pdfAsImage', serverKey: 'pdfAsImage', type: 'boolean', canSync: true },
-	{
-		key: 'showThoughtInProgress',
-		serverKey: 'showThoughtInProgress',
-		type: 'boolean',
-		canSync: true
-	},
-	{ key: 'showToolCalls', serverKey: 'showToolCalls', type: 'boolean', canSync: true },
-	{
-		key: 'disableReasoningFormat',
-		serverKey: 'disableReasoningFormat',
-		type: 'boolean',
-		canSync: true
-	},
-	{ key: 'keepStatsVisible', serverKey: 'keepStatsVisible', type: 'boolean', canSync: true },
-	{ key: 'showMessageStats', serverKey: 'showMessageStats', type: 'boolean', canSync: true },
-	{
-		key: 'askForTitleConfirmation',
-		serverKey: 'askForTitleConfirmation',
-		type: 'boolean',
-		canSync: true
-	},
-	{ key: 'disableAutoScroll', serverKey: 'disableAutoScroll', type: 'boolean', canSync: true },
-	{
-		key: 'renderUserContentAsMarkdown',
-		serverKey: 'renderUserContentAsMarkdown',
-		type: 'boolean',
-		canSync: true
-	},
-	{ key: 'autoMicOnEmpty', serverKey: 'autoMicOnEmpty', type: 'boolean', canSync: true },
-	{
-		key: 'pyInterpreterEnabled',
-		serverKey: 'pyInterpreterEnabled',
-		type: 'boolean',
-		canSync: true
-	},
-	{
-		key: 'enableContinueGeneration',
-		serverKey: 'enableContinueGeneration',
-		type: 'boolean',
-		canSync: true
-	}
-];
-
-export class ParameterSyncService {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Extraction
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Round floating-point numbers to avoid JavaScript precision issues
-	 */
-	private static roundFloatingPoint(value: ParameterValue): ParameterValue {
-		return normalizeFloatingPoint(value) as ParameterValue;
-	}
-
-	/**
-	 * Extract server default parameters that can be synced
-	 */
-	static extractServerDefaults(
-		serverParams: ApiLlamaCppServerProps['default_generation_settings']['params'] | null,
-		webuiSettings?: Record<string, string | number | boolean>
-	): ParameterRecord {
-		const extracted: ParameterRecord = {};
-
-		if (serverParams) {
-			for (const param of SYNCABLE_PARAMETERS) {
-				if (param.canSync && param.serverKey in serverParams) {
-					const value = (serverParams as unknown as Record<string, ParameterValue>)[
-						param.serverKey
-					];
-					if (value !== undefined) {
-						// Apply precision rounding to avoid JavaScript floating-point issues
-						extracted[param.key] = this.roundFloatingPoint(value);
-					}
-				}
-			}
-
-			// Handle samplers array conversion to string
-			if (serverParams.samplers && Array.isArray(serverParams.samplers)) {
-				extracted.samplers = serverParams.samplers.join(';');
-			}
-		}
-
-		if (webuiSettings) {
-			for (const param of SYNCABLE_PARAMETERS) {
-				if (param.canSync && param.serverKey in webuiSettings) {
-					const value = webuiSettings[param.serverKey];
-					if (value !== undefined) {
-						extracted[param.key] = this.roundFloatingPoint(value);
-					}
-				}
-			}
-		}
-
-		return extracted;
-	}
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Merging
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Merge server defaults with current user settings
-	 * Returns updated settings that respect user overrides while using server defaults
-	 */
-	static mergeWithServerDefaults(
-		currentSettings: ParameterRecord,
-		serverDefaults: ParameterRecord,
-		userOverrides: Set<string> = new Set()
-	): ParameterRecord {
-		const merged = { ...currentSettings };
-
-		for (const [key, serverValue] of Object.entries(serverDefaults)) {
-			// Only update if user hasn't explicitly overridden this parameter
-			if (!userOverrides.has(key)) {
-				merged[key] = this.roundFloatingPoint(serverValue);
-			}
-		}
-
-		return merged;
-	}
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Info
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Get parameter information including source and values
-	 */
-	static getParameterInfo(
-		key: string,
-		currentValue: ParameterValue,
-		propsDefaults: ParameterRecord,
-		userOverrides: Set<string>
-	): ParameterInfo {
-		const hasPropsDefault = propsDefaults[key] !== undefined;
-		const isUserOverride = userOverrides.has(key);
-
-		// Simple logic: either using default (from props) or custom (user override)
-		const source: ParameterSource = isUserOverride ? 'custom' : 'default';
-
-		return {
-			value: currentValue,
-			source,
-			serverDefault: hasPropsDefault ? propsDefaults[key] : undefined, // Keep same field name for compatibility
-			userOverride: isUserOverride ? currentValue : undefined
-		};
-	}
-
-	/**
-	 * Check if a parameter can be synced from server
-	 */
-	static canSyncParameter(key: string): boolean {
-		return SYNCABLE_PARAMETERS.some((param) => param.key === key && param.canSync);
-	}
-
-	/**
-	 * Get all syncable parameter keys
-	 */
-	static getSyncableParameterKeys(): string[] {
-		return SYNCABLE_PARAMETERS.filter((param) => param.canSync).map((param) => param.key);
-	}
-
-	/**
-	 * Validate server parameter value
-	 */
-	static validateServerParameter(key: string, value: ParameterValue): boolean {
-		const param = SYNCABLE_PARAMETERS.find((p) => p.key === key);
-		if (!param) return false;
-
-		switch (param.type) {
-			case 'number':
-				return typeof value === 'number' && !isNaN(value);
-			case 'string':
-				return typeof value === 'string';
-			case 'boolean':
-				return typeof value === 'boolean';
-			default:
-				return false;
-		}
-	}
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Diff
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Create a diff between current settings and server defaults
-	 */
-	static createParameterDiff(
-		currentSettings: ParameterRecord,
-		serverDefaults: ParameterRecord
-	): Record<string, { current: ParameterValue; server: ParameterValue; differs: boolean }> {
-		const diff: Record<
-			string,
-			{ current: ParameterValue; server: ParameterValue; differs: boolean }
-		> = {};
-
-		for (const key of this.getSyncableParameterKeys()) {
-			const currentValue = currentSettings[key];
-			const serverValue = serverDefaults[key];
-
-			if (serverValue !== undefined) {
-				diff[key] = {
-					current: currentValue,
-					server: serverValue,
-					differs: currentValue !== serverValue
-				};
-			}
-		}
-
-		return diff;
-	}
-}
diff --git a/tools/server/webui/src/lib/services/props.service.ts b/tools/server/webui/src/lib/services/props.service.ts
new file mode 100644
index 00000000000..45c3e457732
--- /dev/null
+++ b/tools/server/webui/src/lib/services/props.service.ts
@@ -0,0 +1,47 @@
+import { apiFetchWithParams } from '$lib/utils';
+
+export class PropsService {
+	/**
+	 *
+	 *
+	 * Fetching
+	 *
+	 *
+	 */
+
+	/**
+	 * Fetches global server properties from the `/props` endpoint.
+	 * In MODEL mode, returns modalities for the single loaded model.
+	 * In ROUTER mode, returns server-wide settings without model-specific modalities.
+	 *
+	 * @param autoload - If false, prevents automatic model loading (default: false)
+	 * @returns Server properties including default generation settings and capabilities
+	 * @throws {Error} If the request fails or returns invalid data
+	 */
+	static async fetch(autoload = false): Promise<ApiLlamaCppServerProps> {
+		const params: Record<string, string> = {};
+		if (!autoload) {
+			params.autoload = 'false';
+		}
+
+		return apiFetchWithParams<ApiLlamaCppServerProps>('./props', params, { authOnly: true });
+	}
+
+	/**
+	 * Fetches server properties for a specific model (ROUTER mode only).
+	 * Required in ROUTER mode because global `/props` does not include per-model modalities.
+	 *
+	 * @param modelId - The model ID to fetch properties for
+	 * @param autoload - If false, prevents automatic model loading (default: false)
+	 * @returns Server properties specific to the requested model
+	 * @throws {Error} If the request fails, model not found, or model not loaded
+	 */
+	static async fetchForModel(modelId: string, autoload = false): Promise<ApiLlamaCppServerProps> {
+		const params: Record<string, string> = { model: modelId };
+		if (!autoload) {
+			params.autoload = 'false';
+		}
+
+		return apiFetchWithParams<ApiLlamaCppServerProps>('./props', params, { authOnly: true });
+	}
+}
diff --git a/tools/server/webui/src/lib/services/props.ts b/tools/server/webui/src/lib/services/props.ts
deleted file mode 100644
index 01fead9fa3e..00000000000
--- a/tools/server/webui/src/lib/services/props.ts
+++ /dev/null
@@ -1,77 +0,0 @@
-import { getAuthHeaders } from '$lib/utils';
-
-/**
- * PropsService - Server properties management
- *
- * This service handles communication with the /props endpoint to retrieve
- * server configuration, model information, and capabilities.
- *
- * **Responsibilities:**
- * - Fetch server properties from /props endpoint
- * - Handle API authentication
- * - Parse and validate server response
- *
- * **Used by:**
- * - serverStore: Primary consumer for server state management
- */
-export class PropsService {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Fetching
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Fetches server properties from the /props endpoint
-	 *
-	 * @param autoload - If false, prevents automatic model loading (default: false)
-	 * @returns {Promise<ApiLlamaCppServerProps>} Server properties
-	 * @throws {Error} If the request fails or returns invalid data
-	 */
-	static async fetch(autoload = false): Promise<ApiLlamaCppServerProps> {
-		const url = new URL('./props', window.location.href);
-		if (!autoload) {
-			url.searchParams.set('autoload', 'false');
-		}
-
-		const response = await fetch(url.toString(), {
-			headers: getAuthHeaders()
-		});
-
-		if (!response.ok) {
-			throw new Error(
-				`Failed to fetch server properties: ${response.status} ${response.statusText}`
-			);
-		}
-
-		const data = await response.json();
-		return data as ApiLlamaCppServerProps;
-	}
-
-	/**
-	 * Fetches server properties for a specific model (ROUTER mode)
-	 *
-	 * @param modelId - The model ID to fetch properties for
-	 * @param autoload - If false, prevents automatic model loading (default: false)
-	 * @returns {Promise<ApiLlamaCppServerProps>} Server properties for the model
-	 * @throws {Error} If the request fails or returns invalid data
-	 */
-	static async fetchForModel(modelId: string, autoload = false): Promise<ApiLlamaCppServerProps> {
-		const url = new URL('./props', window.location.href);
-		url.searchParams.set('model', modelId);
-		if (!autoload) {
-			url.searchParams.set('autoload', 'false');
-		}
-
-		const response = await fetch(url.toString(), {
-			headers: getAuthHeaders()
-		});
-
-		if (!response.ok) {
-			throw new Error(
-				`Failed to fetch model properties: ${response.status} ${response.statusText}`
-			);
-		}
-
-		const data = await response.json();
-		return data as ApiLlamaCppServerProps;
-	}
-}
diff --git a/tools/server/webui/src/lib/stores/agentic.svelte.ts b/tools/server/webui/src/lib/stores/agentic.svelte.ts
new file mode 100644
index 00000000000..f8834f9df3f
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/agentic.svelte.ts
@@ -0,0 +1,726 @@
+/**
+ * agenticStore - Reactive State Store for Agentic Loop Orchestration
+ *
+ * Manages multi-turn agentic loop with MCP tools:
+ * - LLM streaming with tool call detection
+ * - Tool execution via mcpStore
+ * - Session state management
+ * - Turn limit enforcement
+ *
+ * **Architecture & Relationships:**
+ * - **ChatService**: Stateless API layer (sendMessage, streaming)
+ * - **mcpStore**: MCP connection management and tool execution
+ * - **agenticStore** (this): Reactive state + business logic
+ *
+ * @see ChatService in services/chat.service.ts for API operations
+ * @see mcpStore in stores/mcp.svelte.ts for MCP operations
+ */
+
+import { SvelteMap } from 'svelte/reactivity';
+import { ChatService } from '$lib/services';
+import { config } from '$lib/stores/settings.svelte';
+import { mcpStore } from '$lib/stores/mcp.svelte';
+import { modelsStore } from '$lib/stores/models.svelte';
+import { isAbortError } from '$lib/utils';
+import {
+	DEFAULT_AGENTIC_CONFIG,
+	AGENTIC_TAGS,
+	NEWLINE_SEPARATOR,
+	TURN_LIMIT_MESSAGE,
+	LLM_ERROR_BLOCK_START,
+	LLM_ERROR_BLOCK_END
+} from '$lib/constants';
+import {
+	IMAGE_MIME_TO_EXTENSION,
+	DATA_URI_BASE64_REGEX,
+	MCP_ATTACHMENT_NAME_PREFIX,
+	DEFAULT_IMAGE_EXTENSION
+} from '$lib/constants';
+import {
+	AttachmentType,
+	ContentPartType,
+	MessageRole,
+	MimeTypePrefix,
+	ToolCallType
+} from '$lib/enums';
+import type {
+	AgenticFlowParams,
+	AgenticFlowResult,
+	AgenticSession,
+	AgenticConfig,
+	SettingsConfigType,
+	McpServerOverride,
+	MCPToolCall
+} from '$lib/types';
+import type {
+	AgenticMessage,
+	AgenticToolCallList,
+	AgenticFlowCallbacks,
+	AgenticFlowOptions
+} from '$lib/types/agentic';
+import type {
+	ApiChatCompletionToolCall,
+	ApiChatMessageData,
+	ApiChatMessageContentPart
+} from '$lib/types/api';
+import type {
+	ChatMessagePromptProgress,
+	ChatMessageTimings,
+	ChatMessageAgenticTimings,
+	ChatMessageToolCallTiming,
+	ChatMessageAgenticTurnStats
+} from '$lib/types/chat';
+import type {
+	DatabaseMessage,
+	DatabaseMessageExtra,
+	DatabaseMessageExtraImageFile
+} from '$lib/types/database';
+
+function createDefaultSession(): AgenticSession {
+	return {
+		isRunning: false,
+		currentTurn: 0,
+		totalToolCalls: 0,
+		lastError: null,
+		streamingToolCall: null
+	};
+}
+
+function toAgenticMessages(messages: ApiChatMessageData[]): AgenticMessage[] {
+	return messages.map((message) => {
+		if (
+			message.role === MessageRole.ASSISTANT &&
+			message.tool_calls &&
+			message.tool_calls.length > 0
+		) {
+			return {
+				role: MessageRole.ASSISTANT,
+				content: message.content,
+				tool_calls: message.tool_calls.map((call, index) => ({
+					id: call.id ?? `call_${index}`,
+					type: (call.type as ToolCallType.FUNCTION) ?? ToolCallType.FUNCTION,
+					function: { name: call.function?.name ?? '', arguments: call.function?.arguments ?? '' }
+				}))
+			} satisfies AgenticMessage;
+		}
+		if (message.role === MessageRole.TOOL && message.tool_call_id) {
+			return {
+				role: MessageRole.TOOL,
+				tool_call_id: message.tool_call_id,
+				content: typeof message.content === 'string' ? message.content : ''
+			} satisfies AgenticMessage;
+		}
+		return {
+			role: message.role as MessageRole.SYSTEM | MessageRole.USER,
+			content: message.content
+		} satisfies AgenticMessage;
+	});
+}
+
+class AgenticStore {
+	private _sessions = $state<Map<string, AgenticSession>>(new Map());
+
+	get isReady(): boolean {
+		return true;
+	}
+	get isAnyRunning(): boolean {
+		for (const session of this._sessions.values()) {
+			if (session.isRunning) return true;
+		}
+		return false;
+	}
+
+	getSession(conversationId: string): AgenticSession {
+		let session = this._sessions.get(conversationId);
+		if (!session) {
+			session = createDefaultSession();
+			this._sessions.set(conversationId, session);
+		}
+		return session;
+	}
+
+	private updateSession(conversationId: string, update: Partial<AgenticSession>): void {
+		const session = this.getSession(conversationId);
+		this._sessions.set(conversationId, { ...session, ...update });
+	}
+
+	clearSession(conversationId: string): void {
+		this._sessions.delete(conversationId);
+	}
+
+	getActiveSessions(): Array<{ conversationId: string; session: AgenticSession }> {
+		const active: Array<{ conversationId: string; session: AgenticSession }> = [];
+		for (const [conversationId, session] of this._sessions.entries()) {
+			if (session.isRunning) active.push({ conversationId, session });
+		}
+		return active;
+	}
+
+	isRunning(conversationId: string): boolean {
+		return this.getSession(conversationId).isRunning;
+	}
+
+	currentTurn(conversationId: string): number {
+		return this.getSession(conversationId).currentTurn;
+	}
+
+	totalToolCalls(conversationId: string): number {
+		return this.getSession(conversationId).totalToolCalls;
+	}
+
+	lastError(conversationId: string): Error | null {
+		return this.getSession(conversationId).lastError;
+	}
+
+	streamingToolCall(conversationId: string): { name: string; arguments: string } | null {
+		return this.getSession(conversationId).streamingToolCall;
+	}
+
+	clearError(conversationId: string): void {
+		this.updateSession(conversationId, { lastError: null });
+	}
+
+	getConfig(settings: SettingsConfigType, perChatOverrides?: McpServerOverride[]): AgenticConfig {
+		const maxTurns = Number(settings.agenticMaxTurns) || DEFAULT_AGENTIC_CONFIG.maxTurns;
+		const maxToolPreviewLines =
+			Number(settings.agenticMaxToolPreviewLines) || DEFAULT_AGENTIC_CONFIG.maxToolPreviewLines;
+		return {
+			enabled: mcpStore.hasEnabledServers(perChatOverrides) && DEFAULT_AGENTIC_CONFIG.enabled,
+			maxTurns,
+			maxToolPreviewLines
+		};
+	}
+
+	async runAgenticFlow(params: AgenticFlowParams): Promise<AgenticFlowResult> {
+		const { conversationId, messages, options = {}, callbacks, signal, perChatOverrides } = params;
+		const {
+			onChunk,
+			onReasoningChunk,
+			onToolCallChunk,
+			onAttachments,
+			onModel,
+			onComplete,
+			onError,
+			onTimings,
+			onTurnComplete
+		} = callbacks;
+
+		const agenticConfig = this.getConfig(config(), perChatOverrides);
+		if (!agenticConfig.enabled) return { handled: false };
+
+		const initialized = await mcpStore.ensureInitialized(perChatOverrides);
+		if (!initialized) {
+			console.log('[AgenticStore] MCP not initialized, falling back to standard chat');
+			return { handled: false };
+		}
+
+		const tools = mcpStore.getToolDefinitionsForLLM();
+		if (tools.length === 0) {
+			console.log('[AgenticStore] No tools available, falling back to standard chat');
+			return { handled: false };
+		}
+
+		console.log(`[AgenticStore] Starting agentic flow with ${tools.length} tools`);
+
+		const normalizedMessages: ApiChatMessageData[] = messages
+			.map((msg) => {
+				if ('id' in msg && 'convId' in msg && 'timestamp' in msg)
+					return ChatService.convertDbMessageToApiChatMessageData(
+						msg as DatabaseMessage & { extra?: DatabaseMessageExtra[] }
+					);
+				return msg as ApiChatMessageData;
+			})
+			.filter((msg) => {
+				if (msg.role === MessageRole.SYSTEM) {
+					const content = typeof msg.content === 'string' ? msg.content : '';
+					return content.trim().length > 0;
+				}
+				return true;
+			});
+
+		this.updateSession(conversationId, {
+			isRunning: true,
+			currentTurn: 0,
+			totalToolCalls: 0,
+			lastError: null
+		});
+		mcpStore.acquireConnection();
+
+		try {
+			await this.executeAgenticLoop({
+				conversationId,
+				messages: normalizedMessages,
+				options,
+				tools,
+				agenticConfig,
+				callbacks: {
+					onChunk,
+					onReasoningChunk,
+					onToolCallChunk,
+					onAttachments,
+					onModel,
+					onComplete,
+					onError,
+					onTimings,
+					onTurnComplete
+				},
+				signal
+			});
+			return { handled: true };
+		} catch (error) {
+			const normalizedError = error instanceof Error ? error : new Error(String(error));
+			this.updateSession(conversationId, { lastError: normalizedError });
+			onError?.(normalizedError);
+			return { handled: true, error: normalizedError };
+		} finally {
+			this.updateSession(conversationId, { isRunning: false });
+			await mcpStore
+				.releaseConnection()
+				.catch((err: unknown) =>
+					console.warn('[AgenticStore] Failed to release MCP connection:', err)
+				);
+		}
+	}
+
+	private async executeAgenticLoop(params: {
+		conversationId: string;
+		messages: ApiChatMessageData[];
+		options: AgenticFlowOptions;
+		tools: ReturnType<typeof mcpStore.getToolDefinitionsForLLM>;
+		agenticConfig: AgenticConfig;
+		callbacks: AgenticFlowCallbacks;
+		signal?: AbortSignal;
+	}): Promise<void> {
+		const { conversationId, messages, options, tools, agenticConfig, callbacks, signal } = params;
+		const {
+			onChunk,
+			onReasoningChunk,
+			onToolCallChunk,
+			onAttachments,
+			onModel,
+			onComplete,
+			onTimings,
+			onTurnComplete
+		} = callbacks;
+
+		const sessionMessages: AgenticMessage[] = toAgenticMessages(messages);
+		const allToolCalls: ApiChatCompletionToolCall[] = [];
+		let capturedTimings: ChatMessageTimings | undefined;
+
+		const agenticTimings: ChatMessageAgenticTimings = {
+			turns: 0,
+			toolCallsCount: 0,
+			toolsMs: 0,
+			toolCalls: [],
+			perTurn: [],
+			llm: { predicted_n: 0, predicted_ms: 0, prompt_n: 0, prompt_ms: 0 }
+		};
+		const maxTurns = agenticConfig.maxTurns;
+		const maxToolPreviewLines = agenticConfig.maxToolPreviewLines;
+
+		// Resolve effective model for vision capability checks.
+		// In ROUTER mode, options.model is always set by the caller.
+		// In MODEL mode, options.model is undefined; use the single loaded model
+		// which carries modalities bridged from /props.
+		const effectiveModel = options.model || modelsStore.models[0]?.model || '';
+
+		for (let turn = 0; turn < maxTurns; turn++) {
+			this.updateSession(conversationId, { currentTurn: turn + 1 });
+			agenticTimings.turns = turn + 1;
+
+			if (signal?.aborted) {
+				onComplete?.(
+					'',
+					undefined,
+					this.buildFinalTimings(capturedTimings, agenticTimings),
+					undefined
+				);
+				return;
+			}
+
+			let turnContent = '';
+			let turnToolCalls: ApiChatCompletionToolCall[] = [];
+			let lastStreamingToolCallName = '';
+			let lastStreamingToolCallArgsLength = 0;
+			const emittedToolCallStates = new SvelteMap<
+				number,
+				{ emittedOnce: boolean; lastArgs: string }
+			>();
+			let turnTimings: ChatMessageTimings | undefined;
+
+			const turnStats: ChatMessageAgenticTurnStats = {
+				turn: turn + 1,
+				llm: { predicted_n: 0, predicted_ms: 0, prompt_n: 0, prompt_ms: 0 },
+				toolCalls: [],
+				toolsMs: 0
+			};
+
+			try {
+				await ChatService.sendMessage(
+					sessionMessages as ApiChatMessageData[],
+					{
+						...options,
+						stream: true,
+						tools: tools.length > 0 ? tools : undefined,
+						onChunk: (chunk: string) => {
+							turnContent += chunk;
+							onChunk?.(chunk);
+						},
+						onReasoningChunk,
+						onToolCallChunk: (serialized: string) => {
+							try {
+								turnToolCalls = JSON.parse(serialized) as ApiChatCompletionToolCall[];
+								for (let i = 0; i < turnToolCalls.length; i++) {
+									const toolCall = turnToolCalls[i];
+									const toolName = toolCall.function?.name ?? '';
+									const toolArgs = toolCall.function?.arguments ?? '';
+									const state = emittedToolCallStates.get(i) || {
+										emittedOnce: false,
+										lastArgs: ''
+									};
+									if (!state.emittedOnce) {
+										const output = `\n\n${AGENTIC_TAGS.TOOL_CALL_START}\n${AGENTIC_TAGS.TOOL_NAME_PREFIX}${toolName}${AGENTIC_TAGS.TAG_SUFFIX}\n${AGENTIC_TAGS.TOOL_ARGS_START}\n${toolArgs}`;
+										onChunk?.(output);
+										state.emittedOnce = true;
+										state.lastArgs = toolArgs;
+										emittedToolCallStates.set(i, state);
+									} else if (toolArgs.length > state.lastArgs.length) {
+										onChunk?.(toolArgs.slice(state.lastArgs.length));
+										state.lastArgs = toolArgs;
+										emittedToolCallStates.set(i, state);
+									}
+								}
+								if (turnToolCalls.length > 0 && turnToolCalls[0]?.function) {
+									const name = turnToolCalls[0].function.name || '';
+									const args = turnToolCalls[0].function.arguments || '';
+									const argsLengthBucket = Math.floor(args.length / 100);
+									if (
+										name !== lastStreamingToolCallName ||
+										argsLengthBucket !== lastStreamingToolCallArgsLength
+									) {
+										lastStreamingToolCallName = name;
+										lastStreamingToolCallArgsLength = argsLengthBucket;
+										this.updateSession(conversationId, {
+											streamingToolCall: { name, arguments: args }
+										});
+									}
+								}
+							} catch {
+								/* Ignore parse errors during streaming */
+							}
+						},
+						onModel,
+						onTimings: (timings?: ChatMessageTimings, progress?: ChatMessagePromptProgress) => {
+							onTimings?.(timings, progress);
+							if (timings) {
+								capturedTimings = timings;
+								turnTimings = timings;
+							}
+						},
+						onComplete: () => {
+							/* Completion handled after sendMessage resolves */
+						},
+						onError: (error: Error) => {
+							throw error;
+						}
+					},
+					undefined,
+					signal
+				);
+
+				this.updateSession(conversationId, { streamingToolCall: null });
+
+				if (turnTimings) {
+					agenticTimings.llm.predicted_n += turnTimings.predicted_n || 0;
+					agenticTimings.llm.predicted_ms += turnTimings.predicted_ms || 0;
+					agenticTimings.llm.prompt_n += turnTimings.prompt_n || 0;
+					agenticTimings.llm.prompt_ms += turnTimings.prompt_ms || 0;
+					turnStats.llm.predicted_n = turnTimings.predicted_n || 0;
+					turnStats.llm.predicted_ms = turnTimings.predicted_ms || 0;
+					turnStats.llm.prompt_n = turnTimings.prompt_n || 0;
+					turnStats.llm.prompt_ms = turnTimings.prompt_ms || 0;
+				}
+			} catch (error) {
+				if (signal?.aborted) {
+					onComplete?.(
+						'',
+						undefined,
+						this.buildFinalTimings(capturedTimings, agenticTimings),
+						undefined
+					);
+
+					return;
+				}
+				const normalizedError = error instanceof Error ? error : new Error('LLM stream error');
+				onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`);
+				onComplete?.(
+					'',
+					undefined,
+					this.buildFinalTimings(capturedTimings, agenticTimings),
+					undefined
+				);
+
+				throw normalizedError;
+			}
+
+			if (turnToolCalls.length === 0) {
+				agenticTimings.perTurn!.push(turnStats);
+
+				onComplete?.(
+					'',
+					undefined,
+					this.buildFinalTimings(capturedTimings, agenticTimings),
+					undefined
+				);
+
+				return;
+			}
+
+			const normalizedCalls = this.normalizeToolCalls(turnToolCalls);
+			if (normalizedCalls.length === 0) {
+				onComplete?.(
+					'',
+					undefined,
+					this.buildFinalTimings(capturedTimings, agenticTimings),
+					undefined
+				);
+				return;
+			}
+
+			for (const call of normalizedCalls) {
+				allToolCalls.push({
+					id: call.id,
+					type: call.type,
+					function: call.function ? { ...call.function } : undefined
+				});
+			}
+
+			this.updateSession(conversationId, { totalToolCalls: allToolCalls.length });
+			onToolCallChunk?.(JSON.stringify(allToolCalls));
+
+			sessionMessages.push({
+				role: MessageRole.ASSISTANT,
+				content: turnContent || undefined,
+				tool_calls: normalizedCalls
+			});
+
+			for (const toolCall of normalizedCalls) {
+				if (signal?.aborted) {
+					onComplete?.(
+						'',
+						undefined,
+						this.buildFinalTimings(capturedTimings, agenticTimings),
+						undefined
+					);
+
+					return;
+				}
+
+				const toolStartTime = performance.now();
+				const mcpCall: MCPToolCall = {
+					id: toolCall.id,
+					function: { name: toolCall.function.name, arguments: toolCall.function.arguments }
+				};
+
+				let result: string;
+				let toolSuccess = true;
+
+				try {
+					const executionResult = await mcpStore.executeTool(mcpCall, signal);
+					result = executionResult.content;
+				} catch (error) {
+					if (isAbortError(error)) {
+						onComplete?.(
+							'',
+							undefined,
+							this.buildFinalTimings(capturedTimings, agenticTimings),
+							undefined
+						);
+
+						return;
+					}
+					result = `Error: ${error instanceof Error ? error.message : String(error)}`;
+					toolSuccess = false;
+				}
+
+				const toolDurationMs = performance.now() - toolStartTime;
+				const toolTiming: ChatMessageToolCallTiming = {
+					name: toolCall.function.name,
+					duration_ms: Math.round(toolDurationMs),
+					success: toolSuccess
+				};
+
+				agenticTimings.toolCalls!.push(toolTiming);
+				agenticTimings.toolCallsCount++;
+				agenticTimings.toolsMs += Math.round(toolDurationMs);
+				turnStats.toolCalls.push(toolTiming);
+				turnStats.toolsMs += Math.round(toolDurationMs);
+
+				if (signal?.aborted) {
+					onComplete?.(
+						'',
+						undefined,
+						this.buildFinalTimings(capturedTimings, agenticTimings),
+						undefined
+					);
+
+					return;
+				}
+
+				const { cleanedResult, attachments } = this.extractBase64Attachments(result);
+				if (attachments.length > 0) onAttachments?.(attachments);
+
+				this.emitToolCallResult(cleanedResult, maxToolPreviewLines, onChunk);
+
+				const contentParts: ApiChatMessageContentPart[] = [
+					{ type: ContentPartType.TEXT, text: cleanedResult }
+				];
+				for (const attachment of attachments) {
+					if (attachment.type === AttachmentType.IMAGE) {
+						if (modelsStore.modelSupportsVision(effectiveModel)) {
+							contentParts.push({
+								type: ContentPartType.IMAGE_URL,
+								image_url: { url: (attachment as DatabaseMessageExtraImageFile).base64Url }
+							});
+						} else {
+							console.info(
+								`[AgenticStore] Skipping image attachment (model "${effectiveModel}" does not support vision)`
+							);
+						}
+					}
+				}
+
+				sessionMessages.push({
+					role: MessageRole.TOOL,
+					tool_call_id: toolCall.id,
+					content: contentParts.length === 1 ? cleanedResult : contentParts
+				});
+			}
+
+			if (turnStats.toolCalls.length > 0) {
+				agenticTimings.perTurn!.push(turnStats);
+
+				const intermediateTimings = this.buildFinalTimings(capturedTimings, agenticTimings);
+				if (intermediateTimings) onTurnComplete?.(intermediateTimings);
+			}
+		}
+
+		onChunk?.(TURN_LIMIT_MESSAGE);
+		onComplete?.('', undefined, this.buildFinalTimings(capturedTimings, agenticTimings), undefined);
+	}
+
+	private buildFinalTimings(
+		capturedTimings: ChatMessageTimings | undefined,
+		agenticTimings: ChatMessageAgenticTimings
+	): ChatMessageTimings | undefined {
+		if (agenticTimings.toolCallsCount === 0) return capturedTimings;
+		return {
+			predicted_n: capturedTimings?.predicted_n,
+			predicted_ms: capturedTimings?.predicted_ms,
+			prompt_n: capturedTimings?.prompt_n,
+			prompt_ms: capturedTimings?.prompt_ms,
+			cache_n: capturedTimings?.cache_n,
+			agentic: agenticTimings
+		};
+	}
+
+	private normalizeToolCalls(toolCalls: ApiChatCompletionToolCall[]): AgenticToolCallList {
+		if (!toolCalls) return [];
+		return toolCalls.map((call, index) => ({
+			id: call?.id ?? `tool_${index}`,
+			type: (call?.type as ToolCallType.FUNCTION) ?? ToolCallType.FUNCTION,
+			function: { name: call?.function?.name ?? '', arguments: call?.function?.arguments ?? '' }
+		}));
+	}
+
+	private emitToolCallResult(
+		result: string,
+		maxLines: number,
+		emit?: (chunk: string) => void
+	): void {
+		if (!emit) {
+			return;
+		}
+
+		let output = `${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_ARGS_END}`;
+		const lines = result.split(NEWLINE_SEPARATOR);
+		const trimmedLines = lines.length > maxLines ? lines.slice(-maxLines) : lines;
+
+		output += `${NEWLINE_SEPARATOR}${trimmedLines.join(NEWLINE_SEPARATOR)}${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_CALL_END}${NEWLINE_SEPARATOR}`;
+		emit(output);
+	}
+
+	private extractBase64Attachments(result: string): {
+		cleanedResult: string;
+		attachments: DatabaseMessageExtra[];
+	} {
+		if (!result.trim()) {
+			return { cleanedResult: result, attachments: [] };
+		}
+
+		const lines = result.split(NEWLINE_SEPARATOR);
+		const attachments: DatabaseMessageExtra[] = [];
+		let attachmentIndex = 0;
+
+		const cleanedLines = lines.map((line) => {
+			const trimmedLine = line.trim();
+
+			const match = trimmedLine.match(DATA_URI_BASE64_REGEX);
+			if (!match) {
+				return line;
+			}
+
+			const mimeType = match[1].toLowerCase();
+			const base64Data = match[2];
+
+			if (!base64Data) {
+				return line;
+			}
+
+			attachmentIndex += 1;
+			const name = this.buildAttachmentName(mimeType, attachmentIndex);
+
+			if (mimeType.startsWith(MimeTypePrefix.IMAGE)) {
+				attachments.push({ type: AttachmentType.IMAGE, name, base64Url: trimmedLine });
+
+				return `[Attachment saved: ${name}]`;
+			}
+
+			return line;
+		});
+
+		return { cleanedResult: cleanedLines.join(NEWLINE_SEPARATOR), attachments };
+	}
+
+	private buildAttachmentName(mimeType: string, index: number): string {
+		const extension = IMAGE_MIME_TO_EXTENSION[mimeType] ?? DEFAULT_IMAGE_EXTENSION;
+
+		return `${MCP_ATTACHMENT_NAME_PREFIX}-${Date.now()}-${index}.${extension}`;
+	}
+}
+
+export const agenticStore = new AgenticStore();
+
+export function agenticIsRunning(conversationId: string) {
+	return agenticStore.isRunning(conversationId);
+}
+
+export function agenticCurrentTurn(conversationId: string) {
+	return agenticStore.currentTurn(conversationId);
+}
+
+export function agenticTotalToolCalls(conversationId: string) {
+	return agenticStore.totalToolCalls(conversationId);
+}
+
+export function agenticLastError(conversationId: string) {
+	return agenticStore.lastError(conversationId);
+}
+
+export function agenticStreamingToolCall(conversationId: string) {
+	return agenticStore.streamingToolCall(conversationId);
+}
+
+export function agenticIsAnyRunning() {
+	return agenticStore.isAnyRunning;
+}
diff --git a/tools/server/webui/src/lib/stores/chat.svelte.ts b/tools/server/webui/src/lib/stores/chat.svelte.ts
index 879b2f3245f..c31dfc8cbf7 100644
--- a/tools/server/webui/src/lib/stores/chat.svelte.ts
+++ b/tools/server/webui/src/lib/stores/chat.svelte.ts
@@ -1,6 +1,22 @@
+/**
+ * chatStore - Reactive State Store for Chat Operations
+ *
+ * Manages chat lifecycle, streaming, message operations, and processing state.
+ *
+ * **Architecture & Relationships:**
+ * - **ChatService**: Stateless API layer (sendMessage, streaming)
+ * - **chatStore** (this): Reactive state + business logic
+ * - **conversationsStore**: Conversation persistence and navigation
+ *
+ * @see ChatService in services/chat.service.ts for API operations
+ */
+
+import { SvelteMap } from 'svelte/reactivity';
 import { DatabaseService, ChatService } from '$lib/services';
 import { conversationsStore } from '$lib/stores/conversations.svelte';
 import { config } from '$lib/stores/settings.svelte';
+import { agenticStore } from '$lib/stores/agentic.svelte';
+import { mcpStore } from '$lib/stores/mcp.svelte';
 import { contextSize, isRouterMode } from '$lib/stores/server.svelte';
 import {
 	selectedModelName,
@@ -11,462 +27,436 @@ import {
 	normalizeModelName,
 	filterByLeafNodeId,
 	findDescendantMessages,
-	findLeafNode
+	findLeafNode,
+	isAbortError
 } from '$lib/utils';
-import { SvelteMap } from 'svelte/reactivity';
-import { DEFAULT_CONTEXT } from '$lib/constants/default-context';
+import {
+	MAX_INACTIVE_CONVERSATION_STATES,
+	INACTIVE_CONVERSATION_STATE_MAX_AGE_MS,
+	REASONING_TAGS,
+	SYSTEM_MESSAGE_PLACEHOLDER
+} from '$lib/constants';
+import type {
+	ChatMessageTimings,
+	ChatMessagePromptProgress,
+	ChatStreamCallbacks,
+	ErrorDialogState
+} from '$lib/types/chat';
+import type { ApiProcessingState, DatabaseMessage, DatabaseMessageExtra } from '$lib/types';
+import { ErrorDialogType, MessageRole, MessageType } from '$lib/enums';
+
+interface ConversationStateEntry {
+	lastAccessed: number;
+}
 
-/**
- * chatStore - Active AI interaction and streaming state management
- *
- * **Terminology - Chat vs Conversation:**
- * - **Chat**: The active interaction space with the Chat Completions API. Represents the
- *   real-time streaming session, loading states, and UI visualization of AI communication.
- *   A "chat" is ephemeral - it exists only while the user is actively interacting with the AI.
- * - **Conversation**: The persistent database entity storing all messages and metadata.
- *   Managed by conversationsStore, conversations persist across sessions and page reloads.
- *
- * This store manages all active AI interactions including real-time streaming, response
- * generation, and per-chat loading states. It handles the runtime layer between UI and
- * AI backend, supporting concurrent streaming across multiple conversations.
- *
- * **Architecture & Relationships:**
- * - **chatStore** (this class): Active AI session and streaming management
- *   - Manages real-time AI response streaming via ChatService
- *   - Tracks per-chat loading and streaming states for concurrent sessions
- *   - Handles message operations (send, edit, regenerate, branch)
- *   - Coordinates with conversationsStore for persistence
- *
- * - **conversationsStore**: Provides conversation data and message arrays for chat context
- * - **ChatService**: Low-level API communication with llama.cpp server
- * - **DatabaseService**: Message persistence and retrieval
- *
- * **Key Features:**
- * - **AI Streaming**: Real-time token streaming with abort support
- * - **Concurrent Chats**: Independent loading/streaming states per conversation
- * - **Message Branching**: Edit, regenerate, and branch conversation trees
- * - **Error Handling**: Timeout and server error recovery with user feedback
- * - **Graceful Stop**: Save partial responses when stopping generation
- *
- * **State Management:**
- * - Global `isLoading` and `currentResponse` for active chat UI
- * - `chatLoadingStates` Map for per-conversation streaming tracking
- * - `chatStreamingStates` Map for per-conversation streaming content
- * - `processingStates` Map for per-conversation processing state (timing/context info)
- * - Automatic state sync when switching between conversations
- */
-class ChatStore {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// State
-	// ─────────────────────────────────────────────────────────────────────────────
+const countOccurrences = (source: string, token: string): number =>
+	source ? source.split(token).length - 1 : 0;
+const hasUnclosedReasoningTag = (content: string): boolean =>
+	countOccurrences(content, REASONING_TAGS.START) > countOccurrences(content, REASONING_TAGS.END);
+const wrapReasoningContent = (content: string, reasoningContent?: string): string => {
+	if (!reasoningContent) return content;
+	return `${REASONING_TAGS.START}${reasoningContent}${REASONING_TAGS.END}${content}`;
+};
 
+class ChatStore {
 	activeProcessingState = $state<ApiProcessingState | null>(null);
 	currentResponse = $state('');
-	errorDialogState = $state<{
-		type: 'timeout' | 'server';
-		message: string;
-		contextInfo?: { n_prompt_tokens: number; n_ctx: number };
-	} | null>(null);
+	errorDialogState = $state<ErrorDialogState | null>(null);
 	isLoading = $state(false);
 	chatLoadingStates = new SvelteMap<string, boolean>();
 	chatStreamingStates = new SvelteMap<string, { response: string; messageId: string }>();
 	private abortControllers = new SvelteMap<string, AbortController>();
 	private processingStates = new SvelteMap<string, ApiProcessingState | null>();
+	private conversationStateTimestamps = new SvelteMap<string, ConversationStateEntry>();
 	private activeConversationId = $state<string | null>(null);
 	private isStreamingActive = $state(false);
 	private isEditModeActive = $state(false);
 	private addFilesHandler: ((files: File[]) => void) | null = $state(null);
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Loading State
-	// ─────────────────────────────────────────────────────────────────────────────
+	pendingEditMessageId = $state<string | null>(null);
+	private messageUpdateCallback:
+		| ((messageId: string, updates: Partial<DatabaseMessage>) => void)
+		| null = null;
+	private _pendingDraftMessage = $state<string>('');
+	private _pendingDraftFiles = $state<ChatUploadedFile[]>([]);
 
 	private setChatLoading(convId: string, loading: boolean): void {
+		this.touchConversationState(convId);
 		if (loading) {
 			this.chatLoadingStates.set(convId, true);
-			if (conversationsStore.activeConversation?.id === convId) this.isLoading = true;
+			if (convId === conversationsStore.activeConversation?.id) this.isLoading = true;
 		} else {
 			this.chatLoadingStates.delete(convId);
-			if (conversationsStore.activeConversation?.id === convId) this.isLoading = false;
+			if (convId === conversationsStore.activeConversation?.id) this.isLoading = false;
 		}
 	}
-
-	private isChatLoading(convId: string): boolean {
-		return this.chatLoadingStates.get(convId) || false;
-	}
-
 	private setChatStreaming(convId: string, response: string, messageId: string): void {
+		this.touchConversationState(convId);
 		this.chatStreamingStates.set(convId, { response, messageId });
-		if (conversationsStore.activeConversation?.id === convId) this.currentResponse = response;
+		if (convId === conversationsStore.activeConversation?.id) this.currentResponse = response;
 	}
-
 	private clearChatStreaming(convId: string): void {
 		this.chatStreamingStates.delete(convId);
-		if (conversationsStore.activeConversation?.id === convId) this.currentResponse = '';
+		if (convId === conversationsStore.activeConversation?.id) this.currentResponse = '';
 	}
-
 	private getChatStreaming(convId: string): { response: string; messageId: string } | undefined {
 		return this.chatStreamingStates.get(convId);
 	}
-
 	syncLoadingStateForChat(convId: string): void {
-		this.isLoading = this.isChatLoading(convId);
-		const streamingState = this.getChatStreaming(convId);
-		this.currentResponse = streamingState?.response || '';
+		this.isLoading = this.chatLoadingStates.get(convId) || false;
+		const s = this.chatStreamingStates.get(convId);
+		this.currentResponse = s?.response || '';
+		this.isStreamingActive = s !== undefined;
+		this.setActiveProcessingConversation(convId);
+		// Sync streaming content to activeMessages so UI displays current content
+		if (s?.response && s?.messageId) {
+			const idx = conversationsStore.findMessageIndex(s.messageId);
+			if (idx !== -1) {
+				conversationsStore.updateMessageAtIndex(idx, { content: s.response });
+			}
+		}
 	}
 
-	/**
-	 * Clears global UI state without affecting background streaming.
-	 * Used when navigating to empty/new chat while other chats stream in background.
-	 */
 	clearUIState(): void {
 		this.isLoading = false;
 		this.currentResponse = '';
+		this.isStreamingActive = false;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Processing State
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Set the active conversation for statistics display
-	 */
 	setActiveProcessingConversation(conversationId: string | null): void {
 		this.activeConversationId = conversationId;
-
-		if (conversationId) {
-			this.activeProcessingState = this.processingStates.get(conversationId) || null;
-		} else {
-			this.activeProcessingState = null;
-		}
+		this.activeProcessingState = conversationId
+			? this.processingStates.get(conversationId) || null
+			: null;
 	}
 
-	/**
-	 * Get processing state for a specific conversation
-	 */
 	getProcessingState(conversationId: string): ApiProcessingState | null {
 		return this.processingStates.get(conversationId) || null;
 	}
 
-	/**
-	 * Clear processing state for a specific conversation
-	 */
+	private setProcessingState(conversationId: string, state: ApiProcessingState | null): void {
+		if (state === null) this.processingStates.delete(conversationId);
+		else this.processingStates.set(conversationId, state);
+		if (conversationId === this.activeConversationId) this.activeProcessingState = state;
+	}
+
 	clearProcessingState(conversationId: string): void {
 		this.processingStates.delete(conversationId);
-
-		if (conversationId === this.activeConversationId) {
-			this.activeProcessingState = null;
-		}
+		if (conversationId === this.activeConversationId) this.activeProcessingState = null;
 	}
 
-	/**
-	 * Get the current processing state for the active conversation (reactive)
-	 * Returns the direct reactive state for UI binding
-	 */
 	getActiveProcessingState(): ApiProcessingState | null {
 		return this.activeProcessingState;
 	}
 
-	/**
-	 * Updates processing state with timing data from streaming response
-	 */
-	updateProcessingStateFromTimings(
-		timingData: {
-			prompt_n: number;
-			prompt_ms?: number;
-			predicted_n: number;
-			predicted_per_second: number;
-			cache_n: number;
-			prompt_progress?: ChatMessagePromptProgress;
-		},
-		conversationId?: string
-	): void {
-		const processingState = this.parseTimingData(timingData);
-
-		if (processingState === null) {
-			console.warn('Failed to parse timing data - skipping update');
-			return;
-		}
-
-		const targetId = conversationId || this.activeConversationId;
-		if (targetId) {
-			this.processingStates.set(targetId, processingState);
-
-			if (targetId === this.activeConversationId) {
-				this.activeProcessingState = processingState;
-			}
-		}
-	}
-
-	/**
-	 * Get current processing state (sync version for reactive access)
-	 */
 	getCurrentProcessingStateSync(): ApiProcessingState | null {
 		return this.activeProcessingState;
 	}
 
-	/**
-	 * Restore processing state from last assistant message timings
-	 * Call this when keepStatsVisible is enabled and we need to show last known stats
-	 */
-	restoreProcessingStateFromMessages(messages: DatabaseMessage[], conversationId: string): void {
-		for (let i = messages.length - 1; i >= 0; i--) {
-			const message = messages[i];
-			if (message.role === 'assistant' && message.timings) {
-				const restoredState = this.parseTimingData({
-					prompt_n: message.timings.prompt_n || 0,
-					prompt_ms: message.timings.prompt_ms,
-					predicted_n: message.timings.predicted_n || 0,
-					predicted_per_second:
-						message.timings.predicted_n && message.timings.predicted_ms
-							? (message.timings.predicted_n / message.timings.predicted_ms) * 1000
-							: 0,
-					cache_n: message.timings.cache_n || 0
-				});
+	private setStreamingActive(active: boolean): void {
+		this.isStreamingActive = active;
+	}
 
-				if (restoredState) {
-					this.processingStates.set(conversationId, restoredState);
+	isStreaming(): boolean {
+		return this.isStreamingActive;
+	}
 
-					if (conversationId === this.activeConversationId) {
-						this.activeProcessingState = restoredState;
-					}
+	private getOrCreateAbortController(convId: string): AbortController {
+		let c = this.abortControllers.get(convId);
+		if (!c || c.signal.aborted) {
+			c = new AbortController();
+			this.abortControllers.set(convId, c);
+		}
+		return c;
+	}
 
-					return;
-				}
+	private abortRequest(convId?: string): void {
+		if (convId) {
+			const c = this.abortControllers.get(convId);
+			if (c) {
+				c.abort();
+				this.abortControllers.delete(convId);
 			}
+		} else {
+			for (const c of this.abortControllers.values()) c.abort();
+			this.abortControllers.clear();
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Streaming
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Start streaming session tracking
-	 */
-	startStreaming(): void {
-		this.isStreamingActive = true;
+	private showErrorDialog(state: ErrorDialogState | null): void {
+		this.errorDialogState = state;
 	}
 
-	/**
-	 * Stop streaming session tracking
-	 */
-	stopStreaming(): void {
-		this.isStreamingActive = false;
+	dismissErrorDialog(): void {
+		this.errorDialogState = null;
 	}
 
-	/**
-	 * Check if currently in a streaming session
-	 */
-	isStreaming(): boolean {
-		return this.isStreamingActive;
+	clearEditMode(): void {
+		this.isEditModeActive = false;
+		this.addFilesHandler = null;
 	}
 
-	private getContextTotal(): number {
-		const activeState = this.getActiveProcessingState();
-
-		if (activeState && activeState.contextTotal > 0) {
-			return activeState.contextTotal;
-		}
-
-		if (isRouterMode()) {
-			const modelContextSize = selectedModelContextSize();
-			if (modelContextSize && modelContextSize > 0) {
-				return modelContextSize;
-			}
-		}
+	isEditing(): boolean {
+		return this.isEditModeActive;
+	}
 
-		const propsContextSize = contextSize();
-		if (propsContextSize && propsContextSize > 0) {
-			return propsContextSize;
-		}
+	setEditModeActive(handler: (files: File[]) => void): void {
+		this.isEditModeActive = true;
+		this.addFilesHandler = handler;
+	}
 
-		return DEFAULT_CONTEXT;
+	getAddFilesHandler(): ((files: File[]) => void) | null {
+		return this.addFilesHandler;
 	}
 
-	private parseTimingData(timingData: Record<string, unknown>): ApiProcessingState | null {
-		const promptTokens = (timingData.prompt_n as number) || 0;
-		const promptMs = (timingData.prompt_ms as number) || undefined;
-		const predictedTokens = (timingData.predicted_n as number) || 0;
-		const tokensPerSecond = (timingData.predicted_per_second as number) || 0;
-		const cacheTokens = (timingData.cache_n as number) || 0;
-		const promptProgress = timingData.prompt_progress as
-			| {
-					total: number;
-					cache: number;
-					processed: number;
-					time_ms: number;
-			  }
-			| undefined;
+	clearPendingEditMessageId(): void {
+		this.pendingEditMessageId = null;
+	}
 
-		const contextTotal = this.getContextTotal();
-		const currentConfig = config();
-		const outputTokensMax = currentConfig.max_tokens || -1;
+	savePendingDraft(message: string, files: ChatUploadedFile[]): void {
+		this._pendingDraftMessage = message;
+		this._pendingDraftFiles = [...files];
+	}
 
-		// Note: for timings data, the n_prompt does NOT include cache tokens
-		const contextUsed = promptTokens + cacheTokens + predictedTokens;
-		const outputTokensUsed = predictedTokens;
+	consumePendingDraft(): { message: string; files: ChatUploadedFile[] } | null {
+		if (!this._pendingDraftMessage && this._pendingDraftFiles.length === 0) return null;
+		const d = { message: this._pendingDraftMessage, files: [...this._pendingDraftFiles] };
+		this._pendingDraftMessage = '';
+		this._pendingDraftFiles = [];
+		return d;
+	}
 
-		// Note: for prompt progress, the "processed" DOES include cache tokens
-		// we need to exclude them to get the real prompt tokens processed count
-		const progressCache = promptProgress?.cache || 0;
-		const progressActualDone = (promptProgress?.processed ?? 0) - progressCache;
-		const progressActualTotal = (promptProgress?.total ?? 0) - progressCache;
-		const progressPercent = promptProgress
-			? Math.round((progressActualDone / progressActualTotal) * 100)
-			: undefined;
+	hasPendingDraft(): boolean {
+		return Boolean(this._pendingDraftMessage) || this._pendingDraftFiles.length > 0;
+	}
 
-		return {
-			status: predictedTokens > 0 ? 'generating' : promptProgress ? 'preparing' : 'idle',
-			tokensDecoded: predictedTokens,
-			tokensRemaining: outputTokensMax - predictedTokens,
-			contextUsed,
-			contextTotal,
-			outputTokensUsed,
-			outputTokensMax,
-			hasNextToken: predictedTokens > 0,
-			tokensPerSecond,
-			temperature: currentConfig.temperature ?? 0.8,
-			topP: currentConfig.top_p ?? 0.95,
-			speculative: false,
-			progressPercent,
-			promptProgress,
-			promptTokens,
-			promptMs,
-			cacheTokens
-		};
+	getAllLoadingChats(): string[] {
+		return Array.from(this.chatLoadingStates.keys());
 	}
 
-	/**
-	 * Gets the model used in a conversation based on the latest assistant message.
-	 * Returns the model from the most recent assistant message that has a model field set.
-	 *
-	 * @param messages - Array of messages to search through
-	 * @returns The model name or null if no model found
-	 */
-	getConversationModel(messages: DatabaseMessage[]): string | null {
-		// Search backwards through messages to find most recent assistant message with model
-		for (let i = messages.length - 1; i >= 0; i--) {
-			const message = messages[i];
-			if (message.role === 'assistant' && message.model) {
-				return message.model;
-			}
-		}
-		return null;
+	getAllStreamingChats(): string[] {
+		return Array.from(this.chatStreamingStates.keys());
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Error Handling
-	// ─────────────────────────────────────────────────────────────────────────────
+	getChatStreamingPublic(convId: string): { response: string; messageId: string } | undefined {
+		return this.getChatStreaming(convId);
+	}
 
-	private isAbortError(error: unknown): boolean {
-		return error instanceof Error && (error.name === 'AbortError' || error instanceof DOMException);
+	isChatLoadingPublic(convId: string): boolean {
+		return this.chatLoadingStates.get(convId) || false;
 	}
 
-	private showErrorDialog(
-		type: 'timeout' | 'server',
-		message: string,
-		contextInfo?: { n_prompt_tokens: number; n_ctx: number }
-	): void {
-		this.errorDialogState = { type, message, contextInfo };
+	private isChatLoadingInternal(convId: string): boolean {
+		return this.chatStreamingStates.has(convId);
 	}
 
-	dismissErrorDialog(): void {
-		this.errorDialogState = null;
+	private touchConversationState(convId: string): void {
+		this.conversationStateTimestamps.set(convId, { lastAccessed: Date.now() });
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Message Operations
-	// ─────────────────────────────────────────────────────────────────────────────
+	cleanupOldConversationStates(activeConversationIds?: string[]): number {
+		const now = Date.now();
+		const activeIdsList = activeConversationIds ?? [];
+		const preserveIds = this.activeConversationId
+			? [...activeIdsList, this.activeConversationId]
+			: activeIdsList;
+		const allConvIds = [
+			...new Set([
+				...this.chatLoadingStates.keys(),
+				...this.chatStreamingStates.keys(),
+				...this.abortControllers.keys(),
+				...this.processingStates.keys(),
+				...this.conversationStateTimestamps.keys()
+			])
+		];
+		const cleanupCandidates: Array<{ convId: string; lastAccessed: number }> = [];
+		for (const convId of allConvIds) {
+			if (preserveIds.includes(convId)) continue;
+			if (this.chatLoadingStates.get(convId)) continue;
+			if (this.chatStreamingStates.has(convId)) continue;
+			const ts = this.conversationStateTimestamps.get(convId);
+			cleanupCandidates.push({ convId, lastAccessed: ts?.lastAccessed ?? 0 });
+		}
+		cleanupCandidates.sort((a, b) => a.lastAccessed - b.lastAccessed);
+		let cleanedUp = 0;
+		for (const { convId, lastAccessed } of cleanupCandidates) {
+			if (
+				cleanupCandidates.length - cleanedUp > MAX_INACTIVE_CONVERSATION_STATES ||
+				now - lastAccessed > INACTIVE_CONVERSATION_STATE_MAX_AGE_MS
+			) {
+				this.cleanupConversationState(convId);
+				cleanedUp++;
+			}
+		}
+		return cleanedUp;
+	}
+	private cleanupConversationState(convId: string): void {
+		const c = this.abortControllers.get(convId);
+		if (c && !c.signal.aborted) c.abort();
+		this.chatLoadingStates.delete(convId);
+		this.chatStreamingStates.delete(convId);
+		this.abortControllers.delete(convId);
+		this.processingStates.delete(convId);
+		this.conversationStateTimestamps.delete(convId);
+	}
+	getTrackedConversationCount(): number {
+		return new Set([
+			...this.chatLoadingStates.keys(),
+			...this.chatStreamingStates.keys(),
+			...this.abortControllers.keys(),
+			...this.processingStates.keys()
+		]).size;
+	}
 
-	/**
-	 * Finds a message by ID and optionally validates its role.
-	 * Returns message and index, or null if not found or role doesn't match.
-	 */
 	private getMessageByIdWithRole(
 		messageId: string,
-		expectedRole?: ChatRole
+		expectedRole?: MessageRole
 	): { message: DatabaseMessage; index: number } | null {
 		const index = conversationsStore.findMessageIndex(messageId);
 		if (index === -1) return null;
-
 		const message = conversationsStore.activeMessages[index];
 		if (expectedRole && message.role !== expectedRole) return null;
-
 		return { message, index };
 	}
 
 	async addMessage(
-		role: ChatRole,
+		role: MessageRole,
 		content: string,
-		type: ChatMessageType = 'text',
+		type: MessageType = MessageType.TEXT,
 		parent: string = '-1',
 		extras?: DatabaseMessageExtra[]
-	): Promise<DatabaseMessage | null> {
+	): Promise<DatabaseMessage> {
 		const activeConv = conversationsStore.activeConversation;
+		if (!activeConv) throw new Error('No active conversation');
+		let parentId: string | null = null;
+		if (parent === '-1') {
+			const am = conversationsStore.activeMessages;
+			if (am.length > 0) parentId = am[am.length - 1].id;
+			else {
+				const all = await conversationsStore.getConversationMessages(activeConv.id);
+				const r = all.find((m) => m.parent === null && m.type === 'root');
+				parentId = r ? r.id : await DatabaseService.createRootMessage(activeConv.id);
+			}
+		} else parentId = parent;
+		const message = await DatabaseService.createMessageBranch(
+			{
+				convId: activeConv.id,
+				role,
+				content,
+				type,
+				timestamp: Date.now(),
+				toolCalls: '',
+				children: [],
+				extra: extras
+			},
+			parentId
+		);
+		conversationsStore.addMessageToActive(message);
+		await conversationsStore.updateCurrentNode(message.id);
+		conversationsStore.updateConversationTimestamp();
+		return message;
+	}
+
+	async addSystemPrompt(): Promise<void> {
+		let activeConv = conversationsStore.activeConversation;
 		if (!activeConv) {
-			console.error('No active conversation when trying to add message');
-			return null;
+			await conversationsStore.createConversation();
+			activeConv = conversationsStore.activeConversation;
 		}
-
+		if (!activeConv) return;
 		try {
-			let parentId: string | null = null;
-
-			if (parent === '-1') {
-				const activeMessages = conversationsStore.activeMessages;
-				if (activeMessages.length > 0) {
-					parentId = activeMessages[activeMessages.length - 1].id;
-				} else {
-					const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-					const rootMessage = allMessages.find((m) => m.parent === null && m.type === 'root');
-					if (!rootMessage) {
-						parentId = await DatabaseService.createRootMessage(activeConv.id);
-					} else {
-						parentId = rootMessage.id;
-					}
-				}
-			} else {
-				parentId = parent;
+			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
+			const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
+			const rootId = rootMessage
+				? rootMessage.id
+				: await DatabaseService.createRootMessage(activeConv.id);
+			const existingSystemMessage = allMessages.find(
+				(m) => m.role === MessageRole.SYSTEM && m.parent === rootId
+			);
+			if (existingSystemMessage) {
+				this.pendingEditMessageId = existingSystemMessage.id;
+				if (!conversationsStore.activeMessages.some((m) => m.id === existingSystemMessage.id))
+					conversationsStore.activeMessages.unshift(existingSystemMessage);
+				return;
 			}
-
-			const message = await DatabaseService.createMessageBranch(
-				{
-					convId: activeConv.id,
-					role,
-					content,
-					type,
-					timestamp: Date.now(),
-					thinking: '',
-					toolCalls: '',
-					children: [],
-					extra: extras
-				},
-				parentId
+			const am = conversationsStore.activeMessages;
+			const firstActiveMessage = am.find((m) => m.parent === rootId);
+			const systemMessage = await DatabaseService.createSystemMessage(
+				activeConv.id,
+				SYSTEM_MESSAGE_PLACEHOLDER,
+				rootId
 			);
-
-			conversationsStore.addMessageToActive(message);
-			await conversationsStore.updateCurrentNode(message.id);
+			if (firstActiveMessage) {
+				await DatabaseService.updateMessage(firstActiveMessage.id, { parent: systemMessage.id });
+				await DatabaseService.updateMessage(systemMessage.id, {
+					children: [firstActiveMessage.id]
+				});
+				const updatedRootChildren = rootMessage
+					? rootMessage.children.filter((id: string) => id !== firstActiveMessage.id)
+					: [];
+				await DatabaseService.updateMessage(rootId, {
+					children: [
+						...updatedRootChildren.filter((id: string) => id !== systemMessage.id),
+						systemMessage.id
+					]
+				});
+				const firstMsgIndex = conversationsStore.findMessageIndex(firstActiveMessage.id);
+				if (firstMsgIndex !== -1)
+					conversationsStore.updateMessageAtIndex(firstMsgIndex, { parent: systemMessage.id });
+			}
+			conversationsStore.activeMessages.unshift(systemMessage);
+			this.pendingEditMessageId = systemMessage.id;
 			conversationsStore.updateConversationTimestamp();
-
-			return message;
 		} catch (error) {
-			console.error('Failed to add message:', error);
-			return null;
+			console.error('Failed to add system prompt:', error);
 		}
 	}
 
-	private async createAssistantMessage(parentId?: string): Promise<DatabaseMessage | null> {
+	async removeSystemPromptPlaceholder(messageId: string): Promise<boolean> {
 		const activeConv = conversationsStore.activeConversation;
-		if (!activeConv) return null;
+		if (!activeConv) return false;
+		try {
+			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
+			const systemMessage = allMessages.find((m) => m.id === messageId);
+			if (!systemMessage || systemMessage.role !== MessageRole.SYSTEM) return false;
+			const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
+			if (!rootMessage) return false;
+			if (allMessages.length === 2 && systemMessage.children.length === 0) {
+				await conversationsStore.deleteConversation(activeConv.id);
+				return true;
+			}
+			for (const childId of systemMessage.children) {
+				await DatabaseService.updateMessage(childId, { parent: rootMessage.id });
+				const childIndex = conversationsStore.findMessageIndex(childId);
+				if (childIndex !== -1)
+					conversationsStore.updateMessageAtIndex(childIndex, { parent: rootMessage.id });
+			}
+			await DatabaseService.updateMessage(rootMessage.id, {
+				children: [
+					...rootMessage.children.filter((id: string) => id !== messageId),
+					...systemMessage.children
+				]
+			});
+			await DatabaseService.deleteMessage(messageId);
+			const systemIndex = conversationsStore.findMessageIndex(messageId);
+			if (systemIndex !== -1) conversationsStore.activeMessages.splice(systemIndex, 1);
+			conversationsStore.updateConversationTimestamp();
+			return false;
+		} catch (error) {
+			console.error('Failed to remove system prompt placeholder:', error);
+			return false;
+		}
+	}
 
+	private async createAssistantMessage(parentId?: string): Promise<DatabaseMessage> {
+		const activeConv = conversationsStore.activeConversation;
+		if (!activeConv) throw new Error('No active conversation');
 		return await DatabaseService.createMessageBranch(
 			{
 				convId: activeConv.id,
-				type: 'text',
-				role: 'assistant',
+				type: MessageType.TEXT,
+				role: MessageRole.ASSISTANT,
 				content: '',
 				timestamp: Date.now(),
-				thinking: '',
 				toolCalls: '',
 				children: [],
 				model: null
@@ -475,174 +465,14 @@ class ChatStore {
 		);
 	}
 
-	private async streamChatCompletion(
-		allMessages: DatabaseMessage[],
-		assistantMessage: DatabaseMessage,
-		onComplete?: (content: string) => Promise<void>,
-		onError?: (error: Error) => void,
-		modelOverride?: string | null
-	): Promise<void> {
-		// Ensure model props are cached before streaming (for correct n_ctx in processing info)
-		if (isRouterMode()) {
-			const modelName = modelOverride || selectedModelName();
-			if (modelName && !modelsStore.getModelProps(modelName)) {
-				await modelsStore.fetchModelProps(modelName);
-			}
-		}
-
-		let streamedContent = '';
-		let streamedReasoningContent = '';
-		let streamedToolCallContent = '';
-		let resolvedModel: string | null = null;
-		let modelPersisted = false;
-
-		const recordModel = (modelName: string | null | undefined, persistImmediately = true): void => {
-			if (!modelName) return;
-			const normalizedModel = normalizeModelName(modelName);
-			if (!normalizedModel || normalizedModel === resolvedModel) return;
-			resolvedModel = normalizedModel;
-			const messageIndex = conversationsStore.findMessageIndex(assistantMessage.id);
-			conversationsStore.updateMessageAtIndex(messageIndex, { model: normalizedModel });
-			if (persistImmediately && !modelPersisted) {
-				modelPersisted = true;
-				DatabaseService.updateMessage(assistantMessage.id, { model: normalizedModel }).catch(() => {
-					modelPersisted = false;
-					resolvedModel = null;
-				});
-			}
-		};
-
-		this.startStreaming();
-		this.setActiveProcessingConversation(assistantMessage.convId);
-
-		const abortController = this.getOrCreateAbortController(assistantMessage.convId);
-
-		await ChatService.sendMessage(
-			allMessages,
-			{
-				...this.getApiOptions(),
-				...(modelOverride ? { model: modelOverride } : {}),
-				onChunk: (chunk: string) => {
-					streamedContent += chunk;
-					this.setChatStreaming(assistantMessage.convId, streamedContent, assistantMessage.id);
-					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-					conversationsStore.updateMessageAtIndex(idx, { content: streamedContent });
-				},
-				onReasoningChunk: (reasoningChunk: string) => {
-					streamedReasoningContent += reasoningChunk;
-					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-					conversationsStore.updateMessageAtIndex(idx, { thinking: streamedReasoningContent });
-				},
-				onToolCallChunk: (toolCallChunk: string) => {
-					const chunk = toolCallChunk.trim();
-					if (!chunk) return;
-					streamedToolCallContent = chunk;
-					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-					conversationsStore.updateMessageAtIndex(idx, { toolCalls: streamedToolCallContent });
-				},
-				onModel: (modelName: string) => recordModel(modelName),
-				onTimings: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => {
-					const tokensPerSecond =
-						timings?.predicted_ms && timings?.predicted_n
-							? (timings.predicted_n / timings.predicted_ms) * 1000
-							: 0;
-					this.updateProcessingStateFromTimings(
-						{
-							prompt_n: timings?.prompt_n || 0,
-							prompt_ms: timings?.prompt_ms,
-							predicted_n: timings?.predicted_n || 0,
-							predicted_per_second: tokensPerSecond,
-							cache_n: timings?.cache_n || 0,
-							prompt_progress: promptProgress
-						},
-						assistantMessage.convId
-					);
-				},
-				onComplete: async (
-					finalContent?: string,
-					reasoningContent?: string,
-					timings?: ChatMessageTimings,
-					toolCallContent?: string
-				) => {
-					this.stopStreaming();
-
-					const updateData: Record<string, unknown> = {
-						content: finalContent || streamedContent,
-						thinking: reasoningContent || streamedReasoningContent,
-						toolCalls: toolCallContent || streamedToolCallContent,
-						timings
-					};
-					if (resolvedModel && !modelPersisted) {
-						updateData.model = resolvedModel;
-					}
-					await DatabaseService.updateMessage(assistantMessage.id, updateData);
-
-					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-					const uiUpdate: Partial<DatabaseMessage> = {
-						content: updateData.content as string,
-						toolCalls: updateData.toolCalls as string
-					};
-					if (timings) uiUpdate.timings = timings;
-					if (resolvedModel) uiUpdate.model = resolvedModel;
-
-					conversationsStore.updateMessageAtIndex(idx, uiUpdate);
-					await conversationsStore.updateCurrentNode(assistantMessage.id);
-
-					if (onComplete) await onComplete(streamedContent);
-					this.setChatLoading(assistantMessage.convId, false);
-					this.clearChatStreaming(assistantMessage.convId);
-					this.clearProcessingState(assistantMessage.convId);
-
-					if (isRouterMode()) {
-						modelsStore.fetchRouterModels().catch(console.error);
-					}
-				},
-				onError: (error: Error) => {
-					this.stopStreaming();
-
-					if (this.isAbortError(error)) {
-						this.setChatLoading(assistantMessage.convId, false);
-						this.clearChatStreaming(assistantMessage.convId);
-						this.clearProcessingState(assistantMessage.convId);
-
-						return;
-					}
-
-					console.error('Streaming error:', error);
-
-					this.setChatLoading(assistantMessage.convId, false);
-					this.clearChatStreaming(assistantMessage.convId);
-					this.clearProcessingState(assistantMessage.convId);
-
-					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-
-					if (idx !== -1) {
-						const failedMessage = conversationsStore.removeMessageAtIndex(idx);
-						if (failedMessage) DatabaseService.deleteMessage(failedMessage.id).catch(console.error);
-					}
-
-					const contextInfo = (
-						error as Error & { contextInfo?: { n_prompt_tokens: number; n_ctx: number } }
-					).contextInfo;
-
-					this.showErrorDialog(
-						error.name === 'TimeoutError' ? 'timeout' : 'server',
-						error.message,
-						contextInfo
-					);
-
-					if (onError) onError(error);
-				}
-			},
-			assistantMessage.convId,
-			abortController.signal
-		);
-	}
-
 	async sendMessage(content: string, extras?: DatabaseMessageExtra[]): Promise<void> {
 		if (!content.trim() && (!extras || extras.length === 0)) return;
 		const activeConv = conversationsStore.activeConversation;
-		if (activeConv && this.isChatLoading(activeConv.id)) return;
+		if (activeConv && this.isChatLoadingInternal(activeConv.id)) return;
+
+		// Consume MCP resource attachments - converts them to extras and clears the live store
+		const resourceExtras = mcpStore.consumeResourceAttachmentsAsExtras();
+		const allExtras = resourceExtras.length > 0 ? [...(extras || []), ...resourceExtras] : extras;
 
 		let isNewConversation = false;
 		if (!activeConv) {
@@ -651,137 +481,299 @@ class ChatStore {
 		}
 		const currentConv = conversationsStore.activeConversation;
 		if (!currentConv) return;
-
-		this.errorDialogState = null;
+		this.showErrorDialog(null);
 		this.setChatLoading(currentConv.id, true);
 		this.clearChatStreaming(currentConv.id);
-
 		try {
+			let parentIdForUserMessage: string | undefined;
 			if (isNewConversation) {
 				const rootId = await DatabaseService.createRootMessage(currentConv.id);
 				const currentConfig = config();
 				const systemPrompt = currentConfig.systemMessage?.toString().trim();
-
 				if (systemPrompt) {
 					const systemMessage = await DatabaseService.createSystemMessage(
 						currentConv.id,
 						systemPrompt,
 						rootId
 					);
-
 					conversationsStore.addMessageToActive(systemMessage);
-				}
+					parentIdForUserMessage = systemMessage.id;
+				} else parentIdForUserMessage = rootId;
 			}
-
-			const userMessage = await this.addMessage('user', content, 'text', '-1', extras);
-			if (!userMessage) throw new Error('Failed to add user message');
+			const userMessage = await this.addMessage(
+				MessageRole.USER,
+				content,
+				MessageType.TEXT,
+				parentIdForUserMessage ?? '-1',
+				allExtras
+			);
 			if (isNewConversation && content)
 				await conversationsStore.updateConversationName(currentConv.id, content.trim());
-
 			const assistantMessage = await this.createAssistantMessage(userMessage.id);
-
-			if (!assistantMessage) throw new Error('Failed to create assistant message');
-
 			conversationsStore.addMessageToActive(assistantMessage);
 			await this.streamChatCompletion(
 				conversationsStore.activeMessages.slice(0, -1),
 				assistantMessage
 			);
 		} catch (error) {
-			if (this.isAbortError(error)) {
+			if (isAbortError(error)) {
 				this.setChatLoading(currentConv.id, false);
 				return;
 			}
 			console.error('Failed to send message:', error);
 			this.setChatLoading(currentConv.id, false);
-			if (!this.errorDialogState) {
-				const dialogType =
-					error instanceof Error && error.name === 'TimeoutError' ? 'timeout' : 'server';
+			const dialogType =
+				error instanceof Error && error.name === 'TimeoutError'
+					? ErrorDialogType.TIMEOUT
+					: ErrorDialogType.SERVER;
+			const contextInfo = (
+				error as Error & { contextInfo?: { n_prompt_tokens: number; n_ctx: number } }
+			).contextInfo;
+			this.showErrorDialog({
+				type: dialogType,
+				message: error instanceof Error ? error.message : 'Unknown error',
+				contextInfo
+			});
+		}
+	}
+
+	private async streamChatCompletion(
+		allMessages: DatabaseMessage[],
+		assistantMessage: DatabaseMessage,
+		onComplete?: (content: string) => Promise<void>,
+		onError?: (error: Error) => void,
+		modelOverride?: string | null
+	): Promise<void> {
+		let effectiveModel = modelOverride;
+
+		if (isRouterMode() && !effectiveModel) {
+			const conversationModel = this.getConversationModel(allMessages);
+			effectiveModel = selectedModelName() || conversationModel;
+		}
+
+		if (isRouterMode() && effectiveModel) {
+			if (!modelsStore.getModelProps(effectiveModel))
+				await modelsStore.fetchModelProps(effectiveModel);
+		}
+
+		let streamedContent = '',
+			streamedToolCallContent = '',
+			isReasoningOpen = false,
+			hasStreamedChunks = false,
+			resolvedModel: string | null = null,
+			modelPersisted = false;
+		let streamedExtras: DatabaseMessageExtra[] = assistantMessage.extra
+			? JSON.parse(JSON.stringify(assistantMessage.extra))
+			: [];
+		const recordModel = (modelName: string | null | undefined, persistImmediately = true): void => {
+			if (!modelName) return;
+			const n = normalizeModelName(modelName);
+			if (!n || n === resolvedModel) return;
+			resolvedModel = n;
+			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+			conversationsStore.updateMessageAtIndex(idx, { model: n });
+			if (persistImmediately && !modelPersisted) {
+				modelPersisted = true;
+				DatabaseService.updateMessage(assistantMessage.id, { model: n }).catch(() => {
+					modelPersisted = false;
+					resolvedModel = null;
+				});
+			}
+		};
+		const updateStreamingContent = () => {
+			this.setChatStreaming(assistantMessage.convId, streamedContent, assistantMessage.id);
+			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+			conversationsStore.updateMessageAtIndex(idx, { content: streamedContent });
+		};
+		const appendContentChunk = (chunk: string) => {
+			if (isReasoningOpen) {
+				streamedContent += REASONING_TAGS.END;
+				isReasoningOpen = false;
+			}
+			streamedContent += chunk;
+			hasStreamedChunks = true;
+			updateStreamingContent();
+		};
+		const appendReasoningChunk = (chunk: string) => {
+			if (!isReasoningOpen) {
+				streamedContent += REASONING_TAGS.START;
+				isReasoningOpen = true;
+			}
+			streamedContent += chunk;
+			hasStreamedChunks = true;
+			updateStreamingContent();
+		};
+		const finalizeReasoning = () => {
+			if (isReasoningOpen) {
+				streamedContent += REASONING_TAGS.END;
+				isReasoningOpen = false;
+			}
+		};
+		this.setStreamingActive(true);
+		this.setActiveProcessingConversation(assistantMessage.convId);
+		const abortController = this.getOrCreateAbortController(assistantMessage.convId);
+		const streamCallbacks: ChatStreamCallbacks = {
+			onChunk: (chunk: string) => appendContentChunk(chunk),
+			onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
+			onToolCallChunk: (chunk: string) => {
+				const c = chunk.trim();
+				if (!c) return;
+				streamedToolCallContent = c;
+				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				conversationsStore.updateMessageAtIndex(idx, { toolCalls: streamedToolCallContent });
+			},
+			onAttachments: (extras: DatabaseMessageExtra[]) => {
+				if (!extras.length) return;
+				streamedExtras = [...streamedExtras, ...extras];
+				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				conversationsStore.updateMessageAtIndex(idx, { extra: streamedExtras });
+				DatabaseService.updateMessage(assistantMessage.id, { extra: streamedExtras }).catch(
+					console.error
+				);
+			},
+			onModel: (modelName: string) => recordModel(modelName),
+			onTurnComplete: (intermediateTimings: ChatMessageTimings) => {
+				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				conversationsStore.updateMessageAtIndex(idx, { timings: intermediateTimings });
+			},
+			onTimings: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => {
+				const tokensPerSecond =
+					timings?.predicted_ms && timings?.predicted_n
+						? (timings.predicted_n / timings.predicted_ms) * 1000
+						: 0;
+				this.updateProcessingStateFromTimings(
+					{
+						prompt_n: timings?.prompt_n || 0,
+						prompt_ms: timings?.prompt_ms,
+						predicted_n: timings?.predicted_n || 0,
+						predicted_per_second: tokensPerSecond,
+						cache_n: timings?.cache_n || 0,
+						prompt_progress: promptProgress
+					},
+					assistantMessage.convId
+				);
+			},
+			onComplete: async (
+				finalContent?: string,
+				reasoningContent?: string,
+				timings?: ChatMessageTimings,
+				toolCallContent?: string
+			) => {
+				this.setStreamingActive(false);
+				finalizeReasoning();
+				const combinedContent = hasStreamedChunks
+					? streamedContent
+					: wrapReasoningContent(finalContent || '', reasoningContent);
+				const updateData: Record<string, unknown> = {
+					content: combinedContent,
+					toolCalls: toolCallContent || streamedToolCallContent,
+					timings
+				};
+				if (streamedExtras.length > 0) updateData.extra = streamedExtras;
+				if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
+				await DatabaseService.updateMessage(assistantMessage.id, updateData);
+				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				const uiUpdate: Partial<DatabaseMessage> = {
+					content: combinedContent,
+					toolCalls: updateData.toolCalls as string
+				};
+				if (streamedExtras.length > 0) uiUpdate.extra = streamedExtras;
+				if (timings) uiUpdate.timings = timings;
+				if (resolvedModel) uiUpdate.model = resolvedModel;
+				conversationsStore.updateMessageAtIndex(idx, uiUpdate);
+				await conversationsStore.updateCurrentNode(assistantMessage.id);
+				if (onComplete) await onComplete(combinedContent);
+				this.setChatLoading(assistantMessage.convId, false);
+				this.clearChatStreaming(assistantMessage.convId);
+				this.setProcessingState(assistantMessage.convId, null);
+				if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+			},
+			onError: (error: Error) => {
+				this.setStreamingActive(false);
+				if (isAbortError(error)) {
+					this.setChatLoading(assistantMessage.convId, false);
+					this.clearChatStreaming(assistantMessage.convId);
+					this.setProcessingState(assistantMessage.convId, null);
+					return;
+				}
+				console.error('Streaming error:', error);
+				this.setChatLoading(assistantMessage.convId, false);
+				this.clearChatStreaming(assistantMessage.convId);
+				this.setProcessingState(assistantMessage.convId, null);
+				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				if (idx !== -1) {
+					const failedMessage = conversationsStore.removeMessageAtIndex(idx);
+					if (failedMessage) DatabaseService.deleteMessage(failedMessage.id).catch(console.error);
+				}
 				const contextInfo = (
 					error as Error & { contextInfo?: { n_prompt_tokens: number; n_ctx: number } }
 				).contextInfo;
-
-				this.showErrorDialog(
-					dialogType,
-					error instanceof Error ? error.message : 'Unknown error',
+				this.showErrorDialog({
+					type: error.name === 'TimeoutError' ? ErrorDialogType.TIMEOUT : ErrorDialogType.SERVER,
+					message: error.message,
 					contextInfo
-				);
+				});
+				if (onError) onError(error);
 			}
+		};
+		const perChatOverrides = conversationsStore.activeConversation?.mcpServerOverrides;
+
+		const agenticConfig = agenticStore.getConfig(config(), perChatOverrides);
+		if (agenticConfig.enabled) {
+			const agenticResult = await agenticStore.runAgenticFlow({
+				conversationId: assistantMessage.convId,
+				messages: allMessages,
+				options: { ...this.getApiOptions(), ...(effectiveModel ? { model: effectiveModel } : {}) },
+				callbacks: streamCallbacks,
+				signal: abortController.signal,
+				perChatOverrides
+			});
+			if (agenticResult.handled) return;
 		}
+
+		const completionOptions = {
+			...this.getApiOptions(),
+			...(effectiveModel ? { model: effectiveModel } : {}),
+			...streamCallbacks
+		};
+
+		await ChatService.sendMessage(
+			allMessages,
+			completionOptions,
+			assistantMessage.convId,
+			abortController.signal
+		);
 	}
 
 	async stopGeneration(): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
-
 		if (!activeConv) return;
-
 		await this.stopGenerationForChat(activeConv.id);
 	}
-
 	async stopGenerationForChat(convId: string): Promise<void> {
 		await this.savePartialResponseIfNeeded(convId);
-
-		this.stopStreaming();
+		this.setStreamingActive(false);
 		this.abortRequest(convId);
 		this.setChatLoading(convId, false);
 		this.clearChatStreaming(convId);
-		this.clearProcessingState(convId);
-	}
-
-	/**
-	 * Gets or creates an AbortController for a conversation
-	 */
-	private getOrCreateAbortController(convId: string): AbortController {
-		let controller = this.abortControllers.get(convId);
-		if (!controller || controller.signal.aborted) {
-			controller = new AbortController();
-			this.abortControllers.set(convId, controller);
-		}
-		return controller;
-	}
-
-	/**
-	 * Aborts any ongoing request for a conversation
-	 */
-	private abortRequest(convId?: string): void {
-		if (convId) {
-			const controller = this.abortControllers.get(convId);
-			if (controller) {
-				controller.abort();
-				this.abortControllers.delete(convId);
-			}
-		} else {
-			for (const controller of this.abortControllers.values()) {
-				controller.abort();
-			}
-			this.abortControllers.clear();
-		}
+		this.setProcessingState(convId, null);
 	}
-
 	private async savePartialResponseIfNeeded(convId?: string): Promise<void> {
 		const conversationId = convId || conversationsStore.activeConversation?.id;
-
 		if (!conversationId) return;
-
-		const streamingState = this.chatStreamingStates.get(conversationId);
-
+		const streamingState = this.getChatStreaming(conversationId);
 		if (!streamingState || !streamingState.response.trim()) return;
-
 		const messages =
 			conversationId === conversationsStore.activeConversation?.id
 				? conversationsStore.activeMessages
 				: await conversationsStore.getConversationMessages(conversationId);
-
 		if (!messages.length) return;
-
 		const lastMessage = messages[messages.length - 1];
-
-		if (lastMessage?.role === 'assistant') {
+		if (lastMessage?.role === MessageRole.ASSISTANT) {
 			try {
-				const updateData: { content: string; thinking?: string; timings?: ChatMessageTimings } = {
+				const updateData: { content: string; timings?: ChatMessageTimings } = {
 					content: streamingState.response
 				};
-				if (lastMessage.thinking?.trim()) updateData.thinking = lastMessage.thinking;
 				const lastKnownState = this.getProcessingState(conversationId);
 				if (lastKnownState) {
 					updateData.timings = {
@@ -795,16 +787,11 @@ class ChatStore {
 								: undefined
 					};
 				}
-
 				await DatabaseService.updateMessage(lastMessage.id, updateData);
-
-				lastMessage.content = this.currentResponse;
-
-				if (updateData.thinking) lastMessage.thinking = updateData.thinking;
-
+				lastMessage.content = streamingState.response;
 				if (updateData.timings) lastMessage.timings = updateData.timings;
 			} catch (error) {
-				lastMessage.content = this.currentResponse;
+				lastMessage.content = streamingState.response;
 				console.error('Failed to save partial response:', error);
 			}
 		}
@@ -813,45 +800,30 @@ class ChatStore {
 	async updateMessage(messageId: string, newContent: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
 		if (!activeConv) return;
-		if (this.isLoading) this.stopGeneration();
-
-		const result = this.getMessageByIdWithRole(messageId, 'user');
+		if (this.isChatLoadingInternal(activeConv.id)) await this.stopGeneration();
+		const result = this.getMessageByIdWithRole(messageId, MessageRole.USER);
 		if (!result) return;
 		const { message: messageToUpdate, index: messageIndex } = result;
 		const originalContent = messageToUpdate.content;
-
 		try {
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
 			const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
 			const isFirstUserMessage = rootMessage && messageToUpdate.parent === rootMessage.id;
-
 			conversationsStore.updateMessageAtIndex(messageIndex, { content: newContent });
 			await DatabaseService.updateMessage(messageId, { content: newContent });
-
-			if (isFirstUserMessage && newContent.trim()) {
+			if (isFirstUserMessage && newContent.trim())
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim(),
-					conversationsStore.titleUpdateConfirmationCallback
+					newContent.trim()
 				);
-			}
-
 			const messagesToRemove = conversationsStore.activeMessages.slice(messageIndex + 1);
-
 			for (const message of messagesToRemove) await DatabaseService.deleteMessage(message.id);
-
 			conversationsStore.sliceActiveMessages(messageIndex + 1);
 			conversationsStore.updateConversationTimestamp();
-
 			this.setChatLoading(activeConv.id, true);
 			this.clearChatStreaming(activeConv.id);
-
 			const assistantMessage = await this.createAssistantMessage();
-
-			if (!assistantMessage) throw new Error('Failed to create assistant message');
-
 			conversationsStore.addMessageToActive(assistantMessage);
-
 			await conversationsStore.updateCurrentNode(assistantMessage.id);
 			await this.streamChatCompletion(
 				conversationsStore.activeMessages.slice(0, -1),
@@ -864,44 +836,84 @@ class ChatStore {
 				}
 			);
 		} catch (error) {
-			if (!this.isAbortError(error)) console.error('Failed to update message:', error);
+			if (!isAbortError(error)) console.error('Failed to update message:', error);
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Regeneration
-	// ─────────────────────────────────────────────────────────────────────────────
-
 	async regenerateMessage(messageId: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
-		if (!activeConv || this.isLoading) return;
-
-		const result = this.getMessageByIdWithRole(messageId, 'assistant');
+		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		const result = this.getMessageByIdWithRole(messageId, MessageRole.ASSISTANT);
 		if (!result) return;
 		const { index: messageIndex } = result;
-
 		try {
 			const messagesToRemove = conversationsStore.activeMessages.slice(messageIndex);
 			for (const message of messagesToRemove) await DatabaseService.deleteMessage(message.id);
 			conversationsStore.sliceActiveMessages(messageIndex);
 			conversationsStore.updateConversationTimestamp();
-
 			this.setChatLoading(activeConv.id, true);
 			this.clearChatStreaming(activeConv.id);
-
 			const parentMessageId =
 				conversationsStore.activeMessages.length > 0
 					? conversationsStore.activeMessages[conversationsStore.activeMessages.length - 1].id
 					: undefined;
 			const assistantMessage = await this.createAssistantMessage(parentMessageId);
-			if (!assistantMessage) throw new Error('Failed to create assistant message');
 			conversationsStore.addMessageToActive(assistantMessage);
 			await this.streamChatCompletion(
 				conversationsStore.activeMessages.slice(0, -1),
 				assistantMessage
 			);
 		} catch (error) {
-			if (!this.isAbortError(error)) console.error('Failed to regenerate message:', error);
+			if (!isAbortError(error)) console.error('Failed to regenerate message:', error);
+			this.setChatLoading(activeConv?.id || '', false);
+		}
+	}
+
+	async regenerateMessageWithBranching(messageId: string, modelOverride?: string): Promise<void> {
+		const activeConv = conversationsStore.activeConversation;
+		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		try {
+			const idx = conversationsStore.findMessageIndex(messageId);
+			if (idx === -1) return;
+			const msg = conversationsStore.activeMessages[idx];
+			if (msg.role !== MessageRole.ASSISTANT) return;
+			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
+			const parentMessage = allMessages.find((m) => m.id === msg.parent);
+			if (!parentMessage) return;
+			this.setChatLoading(activeConv.id, true);
+			this.clearChatStreaming(activeConv.id);
+			const newAssistantMessage = await DatabaseService.createMessageBranch(
+				{
+					convId: msg.convId,
+					type: msg.type,
+					timestamp: Date.now(),
+					role: msg.role,
+					content: '',
+					toolCalls: '',
+					children: [],
+					model: null
+				},
+				parentMessage.id
+			);
+			await conversationsStore.updateCurrentNode(newAssistantMessage.id);
+			conversationsStore.updateConversationTimestamp();
+			await conversationsStore.refreshActiveMessages();
+			const conversationPath = filterByLeafNodeId(
+				allMessages,
+				parentMessage.id,
+				false
+			) as DatabaseMessage[];
+			const modelToUse = modelOverride || msg.model || undefined;
+			await this.streamChatCompletion(
+				conversationPath,
+				newAssistantMessage,
+				undefined,
+				undefined,
+				modelToUse
+			);
+		} catch (error) {
+			if (!isAbortError(error))
+				console.error('Failed to regenerate message with branching:', error);
 			this.setChatLoading(activeConv?.id || '', false);
 		}
 	}
@@ -916,21 +928,45 @@ class ChatStore {
 		if (!activeConv)
 			return { totalCount: 0, userMessages: 0, assistantMessages: 0, messageTypes: [] };
 		const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
+		const messageToDelete = allMessages.find((m) => m.id === messageId);
+
+		// For system messages, don't count descendants as they will be preserved (reparented to root)
+		if (messageToDelete?.role === MessageRole.SYSTEM) {
+			const messagesToDelete = allMessages.filter((m) => m.id === messageId);
+			let userMessages = 0,
+				assistantMessages = 0;
+			const messageTypes: string[] = [];
+
+			for (const msg of messagesToDelete) {
+				if (msg.role === MessageRole.USER) {
+					userMessages++;
+					if (!messageTypes.includes('user message')) messageTypes.push('user message');
+				} else if (msg.role === MessageRole.ASSISTANT) {
+					assistantMessages++;
+					if (!messageTypes.includes('assistant response')) messageTypes.push('assistant response');
+				}
+			}
+
+			return { totalCount: 1, userMessages, assistantMessages, messageTypes };
+		}
+
 		const descendants = findDescendantMessages(allMessages, messageId);
 		const allToDelete = [messageId, ...descendants];
 		const messagesToDelete = allMessages.filter((m) => allToDelete.includes(m.id));
 		let userMessages = 0,
 			assistantMessages = 0;
 		const messageTypes: string[] = [];
+
 		for (const msg of messagesToDelete) {
-			if (msg.role === 'user') {
+			if (msg.role === MessageRole.USER) {
 				userMessages++;
 				if (!messageTypes.includes('user message')) messageTypes.push('user message');
-			} else if (msg.role === 'assistant') {
+			} else if (msg.role === MessageRole.ASSISTANT) {
 				assistantMessages++;
 				if (!messageTypes.includes('assistant response')) messageTypes.push('assistant response');
 			}
 		}
+
 		return { totalCount: allToDelete.length, userMessages, assistantMessages, messageTypes };
 	}
 
@@ -940,6 +976,7 @@ class ChatStore {
 		try {
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
 			const messageToDelete = allMessages.find((m) => m.id === messageId);
+
 			if (!messageToDelete) return;
 
 			const currentPath = filterByLeafNodeId(allMessages, activeConv.currNode || '', false);
@@ -954,6 +991,7 @@ class ChatStore {
 					const latestSibling = siblings.reduce((latest, sibling) =>
 						sibling.timestamp > latest.timestamp ? sibling : latest
 					);
+
 					await conversationsStore.updateCurrentNode(findLeafNode(allMessages, latestSibling.id));
 				} else if (messageToDelete.parent) {
 					await conversationsStore.updateCurrentNode(
@@ -961,6 +999,7 @@ class ChatStore {
 					);
 				}
 			}
+
 			await DatabaseService.deleteMessageCascading(activeConv.id, messageId);
 			await conversationsStore.refreshActiveMessages();
 
@@ -970,27 +1009,17 @@ class ChatStore {
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Editing
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	clearEditMode(): void {
-		this.isEditModeActive = false;
-		this.addFilesHandler = null;
-	}
-
 	async continueAssistantMessage(messageId: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
-		if (!activeConv || this.isLoading) return;
+		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		const result = this.getMessageByIdWithRole(messageId, MessageRole.ASSISTANT);
 
-		const result = this.getMessageByIdWithRole(messageId, 'assistant');
 		if (!result) return;
-		const { message: msg, index: idx } = result;
 
-		if (this.isChatLoading(activeConv.id)) return;
+		const { message: msg, index: idx } = result;
 
 		try {
-			this.errorDialogState = null;
+			this.showErrorDialog(null);
 			this.setChatLoading(activeConv.id, true);
 			this.clearChatStreaming(activeConv.id);
 
@@ -999,22 +1028,51 @@ class ChatStore {
 
 			if (!dbMessage) {
 				this.setChatLoading(activeConv.id, false);
-
 				return;
 			}
 
 			const originalContent = dbMessage.content;
-			const originalThinking = dbMessage.thinking || '';
-
 			const conversationContext = conversationsStore.activeMessages.slice(0, idx);
 			const contextWithContinue = [
 				...conversationContext,
-				{ role: 'assistant' as const, content: originalContent }
+				{ role: MessageRole.ASSISTANT as const, content: originalContent }
 			];
 
 			let appendedContent = '',
-				appendedThinking = '',
-				hasReceivedContent = false;
+				hasReceivedContent = false,
+				isReasoningOpen = hasUnclosedReasoningTag(originalContent);
+
+			const updateStreamingContent = (fullContent: string) => {
+				this.setChatStreaming(msg.convId, fullContent, msg.id);
+				conversationsStore.updateMessageAtIndex(idx, { content: fullContent });
+			};
+
+			const appendContentChunk = (chunk: string) => {
+				if (isReasoningOpen) {
+					appendedContent += REASONING_TAGS.END;
+					isReasoningOpen = false;
+				}
+				appendedContent += chunk;
+				hasReceivedContent = true;
+				updateStreamingContent(originalContent + appendedContent);
+			};
+
+			const appendReasoningChunk = (chunk: string) => {
+				if (!isReasoningOpen) {
+					appendedContent += REASONING_TAGS.START;
+					isReasoningOpen = true;
+				}
+				appendedContent += chunk;
+				hasReceivedContent = true;
+				updateStreamingContent(originalContent + appendedContent);
+			};
+
+			const finalizeReasoning = () => {
+				if (isReasoningOpen) {
+					appendedContent += REASONING_TAGS.END;
+					isReasoningOpen = false;
+				}
+			};
 
 			const abortController = this.getOrCreateAbortController(msg.convId);
 
@@ -1022,23 +1080,8 @@ class ChatStore {
 				contextWithContinue,
 				{
 					...this.getApiOptions(),
-
-					onChunk: (chunk: string) => {
-						hasReceivedContent = true;
-						appendedContent += chunk;
-						const fullContent = originalContent + appendedContent;
-						this.setChatStreaming(msg.convId, fullContent, msg.id);
-						conversationsStore.updateMessageAtIndex(idx, { content: fullContent });
-					},
-
-					onReasoningChunk: (reasoningChunk: string) => {
-						hasReceivedContent = true;
-						appendedThinking += reasoningChunk;
-						conversationsStore.updateMessageAtIndex(idx, {
-							thinking: originalThinking + appendedThinking
-						});
-					},
-
+					onChunk: (chunk: string) => appendContentChunk(chunk),
+					onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
 					onTimings: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => {
 						const tokensPerSecond =
 							timings?.predicted_ms && timings?.predicted_n
@@ -1056,74 +1099,78 @@ class ChatStore {
 							msg.convId
 						);
 					},
-
 					onComplete: async (
 						finalContent?: string,
 						reasoningContent?: string,
 						timings?: ChatMessageTimings
 					) => {
-						const fullContent = originalContent + (finalContent || appendedContent);
-						const fullThinking = originalThinking + (reasoningContent || appendedThinking);
+						finalizeReasoning();
+
+						const appendedFromCompletion = hasReceivedContent
+							? appendedContent
+							: wrapReasoningContent(finalContent || '', reasoningContent);
+						const fullContent = originalContent + appendedFromCompletion;
+
 						await DatabaseService.updateMessage(msg.id, {
 							content: fullContent,
-							thinking: fullThinking,
 							timestamp: Date.now(),
 							timings
 						});
+
 						conversationsStore.updateMessageAtIndex(idx, {
 							content: fullContent,
-							thinking: fullThinking,
 							timestamp: Date.now(),
 							timings
 						});
+
 						conversationsStore.updateConversationTimestamp();
+
 						this.setChatLoading(msg.convId, false);
 						this.clearChatStreaming(msg.convId);
-						this.clearProcessingState(msg.convId);
+						this.setProcessingState(msg.convId, null);
 					},
-
 					onError: async (error: Error) => {
-						if (this.isAbortError(error)) {
+						if (isAbortError(error)) {
 							if (hasReceivedContent && appendedContent) {
 								await DatabaseService.updateMessage(msg.id, {
 									content: originalContent + appendedContent,
-									thinking: originalThinking + appendedThinking,
 									timestamp: Date.now()
 								});
+
 								conversationsStore.updateMessageAtIndex(idx, {
 									content: originalContent + appendedContent,
-									thinking: originalThinking + appendedThinking,
 									timestamp: Date.now()
 								});
 							}
+
 							this.setChatLoading(msg.convId, false);
 							this.clearChatStreaming(msg.convId);
-							this.clearProcessingState(msg.convId);
+							this.setProcessingState(msg.convId, null);
+
 							return;
 						}
+
 						console.error('Continue generation error:', error);
-						conversationsStore.updateMessageAtIndex(idx, {
-							content: originalContent,
-							thinking: originalThinking
-						});
-						await DatabaseService.updateMessage(msg.id, {
-							content: originalContent,
-							thinking: originalThinking
-						});
+						conversationsStore.updateMessageAtIndex(idx, { content: originalContent });
+
+						await DatabaseService.updateMessage(msg.id, { content: originalContent });
+
 						this.setChatLoading(msg.convId, false);
 						this.clearChatStreaming(msg.convId);
-						this.clearProcessingState(msg.convId);
-						this.showErrorDialog(
-							error.name === 'TimeoutError' ? 'timeout' : 'server',
-							error.message
-						);
+						this.setProcessingState(msg.convId, null);
+						this.showErrorDialog({
+							type:
+								error.name === 'TimeoutError' ? ErrorDialogType.TIMEOUT : ErrorDialogType.SERVER,
+							message: error.message
+						});
 					}
 				},
+
 				msg.convId,
 				abortController.signal
 			);
 		} catch (error) {
-			if (!this.isAbortError(error)) console.error('Failed to continue message:', error);
+			if (!isAbortError(error)) console.error('Failed to continue message:', error);
 			if (activeConv) this.setChatLoading(activeConv.id, false);
 		}
 	}
@@ -1134,10 +1181,11 @@ class ChatStore {
 		shouldBranch: boolean
 	): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
-		if (!activeConv || this.isLoading) return;
+		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
 
-		const result = this.getMessageByIdWithRole(messageId, 'assistant');
+		const result = this.getMessageByIdWithRole(messageId, MessageRole.ASSISTANT);
 		if (!result) return;
+
 		const { message: msg, index: idx } = result;
 
 		try {
@@ -1149,22 +1197,22 @@ class ChatStore {
 						timestamp: Date.now(),
 						role: msg.role,
 						content: newContent,
-						thinking: msg.thinking || '',
 						toolCalls: msg.toolCalls || '',
 						children: [],
 						model: msg.model
 					},
 					msg.parent!
 				);
+
 				await conversationsStore.updateCurrentNode(newMessage.id);
 			} else {
 				await DatabaseService.updateMessage(msg.id, { content: newContent });
 				await conversationsStore.updateCurrentNode(msg.id);
-				conversationsStore.updateMessageAtIndex(idx, {
-					content: newContent
-				});
+				conversationsStore.updateMessageAtIndex(idx, { content: newContent });
 			}
+
 			conversationsStore.updateConversationTimestamp();
+
 			await conversationsStore.refreshActiveMessages();
 		} catch (error) {
 			console.error('Failed to edit assistant message:', error);
@@ -1179,22 +1227,17 @@ class ChatStore {
 		const activeConv = conversationsStore.activeConversation;
 		if (!activeConv) return;
 
-		const result = this.getMessageByIdWithRole(messageId, 'user');
+		const result = this.getMessageByIdWithRole(messageId, MessageRole.USER);
 		if (!result) return;
-		const { message: msg, index: idx } = result;
 
+		const { message: msg, index: idx } = result;
 		try {
-			const updateData: Partial<DatabaseMessage> = {
-				content: newContent
-			};
+			const updateData: Partial<DatabaseMessage> = { content: newContent };
 
-			// Update extras if provided (including empty array to clear attachments)
-			// Deep clone to avoid Proxy objects from Svelte reactivity
-			if (newExtras !== undefined) {
-				updateData.extra = JSON.parse(JSON.stringify(newExtras));
-			}
+			if (newExtras !== undefined) updateData.extra = JSON.parse(JSON.stringify(newExtras));
 
 			await DatabaseService.updateMessage(messageId, updateData);
+
 			conversationsStore.updateMessageAtIndex(idx, updateData);
 
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
@@ -1203,10 +1246,10 @@ class ChatStore {
 			if (rootMessage && msg.parent === rootMessage.id && newContent.trim()) {
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim(),
-					conversationsStore.titleUpdateConfirmationCallback
+					newContent.trim()
 				);
 			}
+
 			conversationsStore.updateConversationTimestamp();
 		} catch (error) {
 			console.error('Failed to edit user message:', error);
@@ -1219,35 +1262,24 @@ class ChatStore {
 		newExtras?: DatabaseMessageExtra[]
 	): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
-		if (!activeConv || this.isLoading) return;
-
-		let result = this.getMessageByIdWithRole(messageId, 'user');
-
-		if (!result) {
-			result = this.getMessageByIdWithRole(messageId, 'system');
-		}
-
+		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		let result = this.getMessageByIdWithRole(messageId, MessageRole.USER);
+		if (!result) result = this.getMessageByIdWithRole(messageId, MessageRole.SYSTEM);
 		if (!result) return;
 		const { message: msg } = result;
-
 		try {
 			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
 			const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
 			const isFirstUserMessage =
-				msg.role === 'user' && rootMessage && msg.parent === rootMessage.id;
-
+				msg.role === MessageRole.USER && rootMessage && msg.parent === rootMessage.id;
 			const parentId = msg.parent || rootMessage?.id;
 			if (!parentId) return;
-
-			// Use newExtras if provided, otherwise copy existing extras
-			// Deep clone to avoid Proxy objects from Svelte reactivity
 			const extrasToUse =
 				newExtras !== undefined
 					? JSON.parse(JSON.stringify(newExtras))
 					: msg.extra
 						? JSON.parse(JSON.stringify(msg.extra))
 						: undefined;
-
 			const newMessage = await DatabaseService.createMessageBranch(
 				{
 					convId: msg.convId,
@@ -1255,7 +1287,6 @@ class ChatStore {
 					timestamp: Date.now(),
 					role: msg.role,
 					content: newContent,
-					thinking: msg.thinking || '',
 					toolCalls: msg.toolCalls || '',
 					children: [],
 					extra: extrasToUse,
@@ -1265,86 +1296,23 @@ class ChatStore {
 			);
 			await conversationsStore.updateCurrentNode(newMessage.id);
 			conversationsStore.updateConversationTimestamp();
-
-			if (isFirstUserMessage && newContent.trim()) {
+			if (isFirstUserMessage && newContent.trim())
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim(),
-					conversationsStore.titleUpdateConfirmationCallback
+					newContent.trim()
 				);
-			}
 			await conversationsStore.refreshActiveMessages();
-
-			if (msg.role === 'user') {
-				await this.generateResponseForMessage(newMessage.id);
-			}
+			if (msg.role === MessageRole.USER) await this.generateResponseForMessage(newMessage.id);
 		} catch (error) {
 			console.error('Failed to edit message with branching:', error);
 		}
 	}
 
-	async regenerateMessageWithBranching(messageId: string, modelOverride?: string): Promise<void> {
-		const activeConv = conversationsStore.activeConversation;
-		if (!activeConv || this.isLoading) return;
-		try {
-			const idx = conversationsStore.findMessageIndex(messageId);
-			if (idx === -1) return;
-			const msg = conversationsStore.activeMessages[idx];
-			if (msg.role !== 'assistant') return;
-
-			const allMessages = await conversationsStore.getConversationMessages(activeConv.id);
-			const parentMessage = allMessages.find((m) => m.id === msg.parent);
-			if (!parentMessage) return;
-
-			this.setChatLoading(activeConv.id, true);
-			this.clearChatStreaming(activeConv.id);
-
-			const newAssistantMessage = await DatabaseService.createMessageBranch(
-				{
-					convId: activeConv.id,
-					type: 'text',
-					timestamp: Date.now(),
-					role: 'assistant',
-					content: '',
-					thinking: '',
-					toolCalls: '',
-					children: [],
-					model: null
-				},
-				parentMessage.id
-			);
-			await conversationsStore.updateCurrentNode(newAssistantMessage.id);
-			conversationsStore.updateConversationTimestamp();
-			await conversationsStore.refreshActiveMessages();
-
-			const conversationPath = filterByLeafNodeId(
-				allMessages,
-				parentMessage.id,
-				false
-			) as DatabaseMessage[];
-			// Use modelOverride if provided, otherwise use the original message's model
-			// If neither is available, don't pass model (will use global selection)
-			const modelToUse = modelOverride || msg.model || undefined;
-			await this.streamChatCompletion(
-				conversationPath,
-				newAssistantMessage,
-				undefined,
-				undefined,
-				modelToUse
-			);
-		} catch (error) {
-			if (!this.isAbortError(error))
-				console.error('Failed to regenerate message with branching:', error);
-			this.setChatLoading(activeConv?.id || '', false);
-		}
-	}
-
 	private async generateResponseForMessage(userMessageId: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
-
 		if (!activeConv) return;
 
-		this.errorDialogState = null;
+		this.showErrorDialog(null);
 		this.setChatLoading(activeConv.id, true);
 		this.clearChatStreaming(activeConv.id);
 
@@ -1358,18 +1326,19 @@ class ChatStore {
 			const assistantMessage = await DatabaseService.createMessageBranch(
 				{
 					convId: activeConv.id,
-					type: 'text',
+					type: MessageType.TEXT,
 					timestamp: Date.now(),
-					role: 'assistant',
+					role: MessageRole.ASSISTANT,
 					content: '',
-					thinking: '',
 					toolCalls: '',
 					children: [],
 					model: null
 				},
 				userMessageId
 			);
+
 			conversationsStore.addMessageToActive(assistantMessage);
+
 			await this.streamChatCompletion(conversationPath, assistantMessage);
 		} catch (error) {
 			console.error('Failed to generate response:', error);
@@ -1377,92 +1346,194 @@ class ChatStore {
 		}
 	}
 
-	getAddFilesHandler(): ((files: File[]) => void) | null {
-		return this.addFilesHandler;
-	}
+	private getContextTotal(): number | null {
+		const activeConvId = this.activeConversationId;
+		const activeState = activeConvId ? this.getProcessingState(activeConvId) : null;
 
-	public getAllLoadingChats(): string[] {
-		return Array.from(this.chatLoadingStates.keys());
-	}
+		if (activeState && typeof activeState.contextTotal === 'number' && activeState.contextTotal > 0)
+			return activeState.contextTotal;
 
-	public getAllStreamingChats(): string[] {
-		return Array.from(this.chatStreamingStates.keys());
-	}
+		if (isRouterMode()) {
+			const modelContextSize = selectedModelContextSize();
 
-	public getChatStreamingPublic(
-		convId: string
-	): { response: string; messageId: string } | undefined {
-		return this.getChatStreaming(convId);
+			if (typeof modelContextSize === 'number' && modelContextSize > 0) {
+				return modelContextSize;
+			}
+		} else {
+			const propsContextSize = contextSize();
+
+			if (typeof propsContextSize === 'number' && propsContextSize > 0) {
+				return propsContextSize;
+			}
+		}
+
+		return null;
 	}
 
-	public isChatLoadingPublic(convId: string): boolean {
-		return this.isChatLoading(convId);
+	updateProcessingStateFromTimings(
+		timingData: {
+			prompt_n: number;
+			prompt_ms?: number;
+			predicted_n: number;
+			predicted_per_second: number;
+			cache_n: number;
+			prompt_progress?: ChatMessagePromptProgress;
+		},
+		conversationId?: string
+	): void {
+		const processingState = this.parseTimingData(timingData);
+
+		if (processingState === null) {
+			console.warn('Failed to parse timing data - skipping update');
+			return;
+		}
+
+		const targetId = conversationId || this.activeConversationId;
+		if (targetId) {
+			this.setProcessingState(targetId, processingState);
+		}
 	}
 
-	isEditing(): boolean {
-		return this.isEditModeActive;
+	private parseTimingData(timingData: Record<string, unknown>): ApiProcessingState | null {
+		const promptTokens = (timingData.prompt_n as number) || 0,
+			promptMs = (timingData.prompt_ms as number) || undefined,
+			predictedTokens = (timingData.predicted_n as number) || 0,
+			tokensPerSecond = (timingData.predicted_per_second as number) || 0,
+			cacheTokens = (timingData.cache_n as number) || 0;
+		const promptProgress = timingData.prompt_progress as
+			| { total: number; cache: number; processed: number; time_ms: number }
+			| undefined;
+		const contextTotal = this.getContextTotal();
+		const currentConfig = config();
+		const outputTokensMax = currentConfig.max_tokens || -1;
+		const contextUsed = promptTokens + cacheTokens + predictedTokens,
+			outputTokensUsed = predictedTokens;
+		const progressCache = promptProgress?.cache || 0,
+			progressActualDone = (promptProgress?.processed ?? 0) - progressCache,
+			progressActualTotal = (promptProgress?.total ?? 0) - progressCache;
+		const progressPercent = promptProgress
+			? Math.round((progressActualDone / progressActualTotal) * 100)
+			: undefined;
+		return {
+			status: predictedTokens > 0 ? 'generating' : promptProgress ? 'preparing' : 'idle',
+			tokensDecoded: predictedTokens,
+			tokensRemaining: outputTokensMax - predictedTokens,
+			contextUsed,
+			contextTotal,
+			outputTokensUsed,
+			outputTokensMax,
+			hasNextToken: predictedTokens > 0,
+			tokensPerSecond,
+			temperature: currentConfig.temperature ?? 0.8,
+			topP: currentConfig.top_p ?? 0.95,
+			speculative: false,
+			progressPercent,
+			promptProgress,
+			promptTokens,
+			promptMs,
+			cacheTokens
+		};
 	}
 
-	setEditModeActive(handler: (files: File[]) => void): void {
-		this.isEditModeActive = true;
-		this.addFilesHandler = handler;
+	restoreProcessingStateFromMessages(messages: DatabaseMessage[], conversationId: string): void {
+		for (let i = messages.length - 1; i >= 0; i--) {
+			const message = messages[i];
+			if (message.role === MessageRole.ASSISTANT && message.timings) {
+				const restoredState = this.parseTimingData({
+					prompt_n: message.timings.prompt_n || 0,
+					prompt_ms: message.timings.prompt_ms,
+					predicted_n: message.timings.predicted_n || 0,
+					predicted_per_second:
+						message.timings.predicted_n && message.timings.predicted_ms
+							? (message.timings.predicted_n / message.timings.predicted_ms) * 1000
+							: 0,
+					cache_n: message.timings.cache_n || 0
+				});
+				if (restoredState) {
+					this.setProcessingState(conversationId, restoredState);
+					return;
+				}
+			}
+		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities
-	// ─────────────────────────────────────────────────────────────────────────────
+	getConversationModel(messages: DatabaseMessage[]): string | null {
+		for (let i = messages.length - 1; i >= 0; i--) {
+			const message = messages[i];
+			if (message.role === MessageRole.ASSISTANT && message.model) return message.model;
+		}
+		return null;
+	}
 
 	private getApiOptions(): Record<string, unknown> {
 		const currentConfig = config();
 		const hasValue = (value: unknown): boolean =>
 			value !== undefined && value !== null && value !== '';
-
 		const apiOptions: Record<string, unknown> = { stream: true, timings_per_token: true };
 
-		// Model selection (required in ROUTER mode)
 		if (isRouterMode()) {
 			const modelName = selectedModelName();
 			if (modelName) apiOptions.model = modelName;
 		}
 
-		// Config options needed by ChatService
 		if (currentConfig.systemMessage) apiOptions.systemMessage = currentConfig.systemMessage;
-		if (currentConfig.disableReasoningFormat) apiOptions.disableReasoningFormat = true;
+
+		if (currentConfig.disableReasoningParsing) apiOptions.disableReasoningParsing = true;
 
 		if (hasValue(currentConfig.temperature))
 			apiOptions.temperature = Number(currentConfig.temperature);
+
 		if (hasValue(currentConfig.max_tokens))
 			apiOptions.max_tokens = Number(currentConfig.max_tokens);
+
 		if (hasValue(currentConfig.dynatemp_range))
 			apiOptions.dynatemp_range = Number(currentConfig.dynatemp_range);
+
 		if (hasValue(currentConfig.dynatemp_exponent))
 			apiOptions.dynatemp_exponent = Number(currentConfig.dynatemp_exponent);
+
 		if (hasValue(currentConfig.top_k)) apiOptions.top_k = Number(currentConfig.top_k);
+
 		if (hasValue(currentConfig.top_p)) apiOptions.top_p = Number(currentConfig.top_p);
+
 		if (hasValue(currentConfig.min_p)) apiOptions.min_p = Number(currentConfig.min_p);
+
 		if (hasValue(currentConfig.xtc_probability))
 			apiOptions.xtc_probability = Number(currentConfig.xtc_probability);
+
 		if (hasValue(currentConfig.xtc_threshold))
 			apiOptions.xtc_threshold = Number(currentConfig.xtc_threshold);
+
 		if (hasValue(currentConfig.typ_p)) apiOptions.typ_p = Number(currentConfig.typ_p);
+
 		if (hasValue(currentConfig.repeat_last_n))
 			apiOptions.repeat_last_n = Number(currentConfig.repeat_last_n);
+
 		if (hasValue(currentConfig.repeat_penalty))
 			apiOptions.repeat_penalty = Number(currentConfig.repeat_penalty);
+
 		if (hasValue(currentConfig.presence_penalty))
 			apiOptions.presence_penalty = Number(currentConfig.presence_penalty);
+
 		if (hasValue(currentConfig.frequency_penalty))
 			apiOptions.frequency_penalty = Number(currentConfig.frequency_penalty);
+
 		if (hasValue(currentConfig.dry_multiplier))
 			apiOptions.dry_multiplier = Number(currentConfig.dry_multiplier);
+
 		if (hasValue(currentConfig.dry_base)) apiOptions.dry_base = Number(currentConfig.dry_base);
+
 		if (hasValue(currentConfig.dry_allowed_length))
 			apiOptions.dry_allowed_length = Number(currentConfig.dry_allowed_length);
+
 		if (hasValue(currentConfig.dry_penalty_last_n))
 			apiOptions.dry_penalty_last_n = Number(currentConfig.dry_penalty_last_n);
+
 		if (currentConfig.samplers) apiOptions.samplers = currentConfig.samplers;
+
 		if (currentConfig.backend_sampling)
 			apiOptions.backend_sampling = currentConfig.backend_sampling;
+
 		if (currentConfig.custom) apiOptions.custom = currentConfig.custom;
 
 		return apiOptions;
@@ -1472,7 +1543,6 @@ class ChatStore {
 export const chatStore = new ChatStore();
 
 export const activeProcessingState = () => chatStore.activeProcessingState;
-export const clearEditMode = () => chatStore.clearEditMode();
 export const currentResponse = () => chatStore.currentResponse;
 export const errorDialog = () => chatStore.errorDialogState;
 export const getAddFilesHandler = () => chatStore.getAddFilesHandler();
@@ -1483,5 +1553,4 @@ export const isChatLoading = (convId: string) => chatStore.isChatLoadingPublic(c
 export const isChatStreaming = () => chatStore.isStreaming();
 export const isEditing = () => chatStore.isEditing();
 export const isLoading = () => chatStore.isLoading;
-export const setEditModeActive = (handler: (files: File[]) => void) =>
-	chatStore.setEditModeActive(handler);
+export const pendingEditMessageId = () => chatStore.pendingEditMessageId;
diff --git a/tools/server/webui/src/lib/stores/conversations.svelte.ts b/tools/server/webui/src/lib/stores/conversations.svelte.ts
index 3300eb31139..ec1daa90d96 100644
--- a/tools/server/webui/src/lib/stores/conversations.svelte.ts
+++ b/tools/server/webui/src/lib/stores/conversations.svelte.ts
@@ -1,54 +1,40 @@
-import { browser } from '$app/environment';
-import { goto } from '$app/navigation';
-import { toast } from 'svelte-sonner';
-import { DatabaseService } from '$lib/services/database';
-import { config } from '$lib/stores/settings.svelte';
-import { filterByLeafNodeId, findLeafNode } from '$lib/utils';
-import { AttachmentType } from '$lib/enums';
-
 /**
- * conversationsStore - Persistent conversation data and lifecycle management
- *
- * **Terminology - Chat vs Conversation:**
- * - **Chat**: The active interaction space with the Chat Completions API. Represents the
- *   real-time streaming session, loading states, and UI visualization of AI communication.
- *   Managed by chatStore, a "chat" is ephemeral and exists during active AI interactions.
- * - **Conversation**: The persistent database entity storing all messages and metadata.
- *   A "conversation" survives across sessions, page reloads, and browser restarts.
- *   It contains the complete message history, branching structure, and conversation metadata.
+ * conversationsStore - Reactive State Store for Conversations
  *
- * This store manages all conversation-level data and operations including creation, loading,
- * deletion, and navigation. It maintains the list of conversations and the currently active
- * conversation with its message history, providing reactive state for UI components.
+ * Manages conversation lifecycle, persistence, navigation, and MCP server overrides.
  *
  * **Architecture & Relationships:**
- * - **conversationsStore** (this class): Persistent conversation data management
- *   - Manages conversation list and active conversation state
- *   - Handles conversation CRUD operations via DatabaseService
- *   - Maintains active message array for current conversation
- *   - Coordinates branching navigation (currNode tracking)
- *
- * - **chatStore**: Uses conversation data as context for active AI streaming
- * - **DatabaseService**: Low-level IndexedDB storage for conversations and messages
+ * - **DatabaseService**: Stateless IndexedDB layer
+ * - **conversationsStore** (this): Reactive state + business logic
+ * - **chatStore**: Chat-specific state (streaming, loading)
  *
- * **Key Features:**
- * - **Conversation Lifecycle**: Create, load, update, delete conversations
- * - **Message Management**: Active message array with branching support
- * - **Import/Export**: JSON-based conversation backup and restore
- * - **Branch Navigation**: Navigate between message tree branches
- * - **Title Management**: Auto-update titles with confirmation dialogs
- * - **Reactive State**: Svelte 5 runes for automatic UI updates
+ * **Key Responsibilities:**
+ * - Conversation CRUD (create, load, delete)
+ * - Message management and tree navigation
+ * - MCP server per-chat overrides
+ * - Import/Export functionality
+ * - Title management with confirmation
  *
- * **State Properties:**
- * - `conversations`: All conversations sorted by last modified
- * - `activeConversation`: Currently viewed conversation
- * - `activeMessages`: Messages in current conversation path
- * - `isInitialized`: Store initialization status
+ * @see DatabaseService in services/database.ts for IndexedDB operations
  */
+
+import { goto } from '$app/navigation';
+import { browser } from '$app/environment';
+import { toast } from 'svelte-sonner';
+import { DatabaseService } from '$lib/services/database.service';
+import { config } from '$lib/stores/settings.svelte';
+import { filterByLeafNodeId, findLeafNode } from '$lib/utils';
+import type { McpServerOverride } from '$lib/types/database';
+import { MessageRole } from '$lib/enums';
+
 class ConversationsStore {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// State
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * State
+	 *
+	 *
+	 */
 
 	/** List of all conversations */
 	conversations = $state<DatabaseConversation[]>([]);
@@ -62,105 +48,134 @@ class ConversationsStore {
 	/** Whether the store has been initialized */
 	isInitialized = $state(false);
 
+	/** Pending MCP server overrides for new conversations (before first message) */
+	pendingMcpServerOverrides = $state<McpServerOverride[]>([]);
+
 	/** Callback for title update confirmation dialog */
 	titleUpdateConfirmationCallback?: (currentTitle: string, newTitle: string) => Promise<boolean>;
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Modalities
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 * Callback for updating message content in chatStore.
+	 * Registered by chatStore to enable cross-store updates without circular dependency.
+	 */
+	private messageUpdateCallback:
+		| ((messageId: string, updates: Partial<DatabaseMessage>) => void)
+		| null = null;
 
 	/**
-	 * Modalities used in the active conversation.
-	 * Computed from attachments in activeMessages.
-	 * Used to filter available models - models must support all used modalities.
+	 *
+	 *
+	 * Lifecycle
+	 *
+	 *
 	 */
-	usedModalities: ModelModalities = $derived.by(() => {
-		return this.calculateModalitiesFromMessages(this.activeMessages);
-	});
 
 	/**
-	 * Calculate modalities from a list of messages.
-	 * Helper method used by both usedModalities and getModalitiesUpToMessage.
+	 * Initialize the store by loading conversations from database.
+	 * Must be called once after app startup.
 	 */
-	private calculateModalitiesFromMessages(messages: DatabaseMessage[]): ModelModalities {
-		const modalities: ModelModalities = { vision: false, audio: false };
+	async init(): Promise<void> {
+		if (!browser) return;
+		if (this.isInitialized) return;
 
-		for (const message of messages) {
-			if (!message.extra) continue;
+		try {
+			await this.loadConversations();
+			this.isInitialized = true;
+		} catch (error) {
+			console.error('Failed to initialize conversations:', error);
+		}
+	}
 
-			for (const extra of message.extra) {
-				if (extra.type === AttachmentType.IMAGE) {
-					modalities.vision = true;
-				}
+	/**
+	 * Alias for init() for backward compatibility.
+	 */
+	async initialize(): Promise<void> {
+		return this.init();
+	}
 
-				// PDF only requires vision if processed as images
-				if (extra.type === AttachmentType.PDF) {
-					const pdfExtra = extra as DatabaseMessageExtraPdfFile;
+	/**
+	 * Register a callback for message updates from other stores.
+	 * Called by chatStore during initialization.
+	 */
+	registerMessageUpdateCallback(
+		callback: (messageId: string, updates: Partial<DatabaseMessage>) => void
+	): void {
+		this.messageUpdateCallback = callback;
+	}
 
-					if (pdfExtra.processedAsImages) {
-						modalities.vision = true;
-					}
-				}
+	/**
+	 *
+	 *
+	 * Message Array Operations
+	 *
+	 *
+	 */
 
-				if (extra.type === AttachmentType.AUDIO) {
-					modalities.audio = true;
-				}
-			}
+	/**
+	 * Adds a message to the active messages array
+	 */
+	addMessageToActive(message: DatabaseMessage): void {
+		this.activeMessages.push(message);
+	}
 
-			if (modalities.vision && modalities.audio) break;
+	/**
+	 * Updates a message at a specific index in active messages
+	 */
+	updateMessageAtIndex(index: number, updates: Partial<DatabaseMessage>): void {
+		if (index !== -1 && this.activeMessages[index]) {
+			this.activeMessages[index] = { ...this.activeMessages[index], ...updates };
 		}
-
-		return modalities;
 	}
 
 	/**
-	 * Get modalities used in messages BEFORE the specified message.
-	 * Used for regeneration - only consider context that was available when generating this message.
+	 * Finds the index of a message in active messages
 	 */
-	getModalitiesUpToMessage(messageId: string): ModelModalities {
-		const messageIndex = this.activeMessages.findIndex((m) => m.id === messageId);
-
-		if (messageIndex === -1) {
-			return this.usedModalities;
-		}
+	findMessageIndex(messageId: string): number {
+		return this.activeMessages.findIndex((m) => m.id === messageId);
+	}
 
-		const messagesBefore = this.activeMessages.slice(0, messageIndex);
-		return this.calculateModalitiesFromMessages(messagesBefore);
+	/**
+	 * Removes messages from active messages starting at an index
+	 */
+	sliceActiveMessages(startIndex: number): void {
+		this.activeMessages = this.activeMessages.slice(0, startIndex);
 	}
 
-	constructor() {
-		if (browser) {
-			this.initialize();
+	/**
+	 * Removes a message from active messages by index
+	 */
+	removeMessageAtIndex(index: number): DatabaseMessage | undefined {
+		if (index !== -1) {
+			return this.activeMessages.splice(index, 1)[0];
 		}
+		return undefined;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Lifecycle
-	// ─────────────────────────────────────────────────────────────────────────────
-
 	/**
-	 * Initializes the conversations store by loading conversations from the database
+	 * Sets the callback function for title update confirmations
 	 */
-	async initialize(): Promise<void> {
-		try {
-			await this.loadConversations();
-			this.isInitialized = true;
-		} catch (error) {
-			console.error('Failed to initialize conversations store:', error);
-		}
+	setTitleUpdateConfirmationCallback(
+		callback: (currentTitle: string, newTitle: string) => Promise<boolean>
+	): void {
+		this.titleUpdateConfirmationCallback = callback;
 	}
 
+	/**
+	 *
+	 *
+	 * Conversation CRUD
+	 *
+	 *
+	 */
+
 	/**
 	 * Loads all conversations from the database
 	 */
 	async loadConversations(): Promise<void> {
-		this.conversations = await DatabaseService.getAllConversations();
+		const conversations = await DatabaseService.getAllConversations();
+		this.conversations = conversations;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Conversation CRUD
-	// ─────────────────────────────────────────────────────────────────────────────
-
 	/**
 	 * Creates a new conversation and navigates to it
 	 * @param name - Optional name for the conversation
@@ -170,7 +185,20 @@ class ConversationsStore {
 		const conversationName = name || `Chat ${new Date().toLocaleString()}`;
 		const conversation = await DatabaseService.createConversation(conversationName);
 
-		this.conversations.unshift(conversation);
+		if (this.pendingMcpServerOverrides.length > 0) {
+			// Deep clone to plain objects (Svelte 5 $state uses Proxies which can't be cloned to IndexedDB)
+			const plainOverrides = this.pendingMcpServerOverrides.map((o) => ({
+				serverId: o.serverId,
+				enabled: o.enabled
+			}));
+			conversation.mcpServerOverrides = plainOverrides;
+			await DatabaseService.updateConversation(conversation.id, {
+				mcpServerOverrides: plainOverrides
+			});
+			this.pendingMcpServerOverrides = [];
+		}
+
+		this.conversations = [conversation, ...this.conversations];
 		this.activeConversation = conversation;
 		this.activeMessages = [];
 
@@ -192,17 +220,20 @@ class ConversationsStore {
 				return false;
 			}
 
+			this.pendingMcpServerOverrides = [];
 			this.activeConversation = conversation;
 
 			if (conversation.currNode) {
 				const allMessages = await DatabaseService.getConversationMessages(convId);
-				this.activeMessages = filterByLeafNodeId(
+				const filteredMessages = filterByLeafNodeId(
 					allMessages,
 					conversation.currNode,
 					false
 				) as DatabaseMessage[];
+				this.activeMessages = filteredMessages;
 			} else {
-				this.activeMessages = await DatabaseService.getConversationMessages(convId);
+				const messages = await DatabaseService.getConversationMessages(convId);
+				this.activeMessages = messages;
 			}
 
 			return true;
@@ -213,21 +244,65 @@ class ConversationsStore {
 	}
 
 	/**
-	 * Clears the active conversation and messages
-	 * Used when navigating away from chat or starting fresh
+	 * Clears the active conversation and messages.
 	 */
 	clearActiveConversation(): void {
 		this.activeConversation = null;
 		this.activeMessages = [];
-		// Active processing conversation is now managed by chatStore
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Message Management
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 * Deletes a conversation and all its messages
+	 * @param convId - The conversation ID to delete
+	 */
+	async deleteConversation(convId: string): Promise<void> {
+		try {
+			await DatabaseService.deleteConversation(convId);
+
+			this.conversations = this.conversations.filter((c) => c.id !== convId);
+
+			if (this.activeConversation?.id === convId) {
+				this.clearActiveConversation();
+				await goto(`?new_chat=true#/`);
+			}
+		} catch (error) {
+			console.error('Failed to delete conversation:', error);
+		}
+	}
 
 	/**
-	 * Refreshes active messages based on currNode after branch navigation
+	 * Deletes all conversations and their messages
+	 */
+	async deleteAll(): Promise<void> {
+		try {
+			const allConversations = await DatabaseService.getAllConversations();
+
+			for (const conv of allConversations) {
+				await DatabaseService.deleteConversation(conv.id);
+			}
+
+			this.clearActiveConversation();
+			this.conversations = [];
+
+			toast.success('All conversations deleted');
+
+			await goto(`?new_chat=true#/`);
+		} catch (error) {
+			console.error('Failed to delete all conversations:', error);
+			toast.error('Failed to delete conversations');
+		}
+	}
+
+	/**
+	 *
+	 *
+	 * Message Management
+	 *
+	 *
+	 */
+
+	/**
+	 * Refreshes active messages based on currNode after branch navigation.
 	 */
 	async refreshActiveMessages(): Promise<void> {
 		if (!this.activeConversation) return;
@@ -245,12 +320,28 @@ class ConversationsStore {
 
 		const currentPath = filterByLeafNodeId(allMessages, leafNodeId, false) as DatabaseMessage[];
 
-		this.activeMessages.length = 0;
-		this.activeMessages.push(...currentPath);
+		this.activeMessages = currentPath;
+	}
+
+	/**
+	 * Gets all messages for a specific conversation
+	 * @param convId - The conversation ID
+	 * @returns Array of messages
+	 */
+	async getConversationMessages(convId: string): Promise<DatabaseMessage[]> {
+		return await DatabaseService.getConversationMessages(convId);
 	}
 
 	/**
-	 * Updates the name of a conversation
+	 *
+	 *
+	 * Title Management
+	 *
+	 *
+	 */
+
+	/**
+	 * Updates the name of a conversation.
 	 * @param convId - The conversation ID to update
 	 * @param name - The new name for the conversation
 	 */
@@ -262,10 +353,11 @@ class ConversationsStore {
 
 			if (convIndex !== -1) {
 				this.conversations[convIndex].name = name;
+				this.conversations = [...this.conversations];
 			}
 
 			if (this.activeConversation?.id === convId) {
-				this.activeConversation.name = name;
+				this.activeConversation = { ...this.activeConversation, name };
 			}
 		} catch (error) {
 			console.error('Failed to update conversation name:', error);
@@ -276,22 +368,23 @@ class ConversationsStore {
 	 * Updates conversation title with optional confirmation dialog based on settings
 	 * @param convId - The conversation ID to update
 	 * @param newTitle - The new title content
-	 * @param onConfirmationNeeded - Callback when user confirmation is needed
 	 * @returns True if title was updated, false if cancelled
 	 */
 	async updateConversationTitleWithConfirmation(
 		convId: string,
-		newTitle: string,
-		onConfirmationNeeded?: (currentTitle: string, newTitle: string) => Promise<boolean>
+		newTitle: string
 	): Promise<boolean> {
 		try {
 			const currentConfig = config();
 
-			if (currentConfig.askForTitleConfirmation && onConfirmationNeeded) {
+			if (currentConfig.askForTitleConfirmation && this.titleUpdateConfirmationCallback) {
 				const conversation = await DatabaseService.getConversation(convId);
 				if (!conversation) return false;
 
-				const shouldUpdate = await onConfirmationNeeded(conversation.name, newTitle);
+				const shouldUpdate = await this.titleUpdateConfirmationCallback(
+					conversation.name,
+					newTitle
+				);
 				if (!shouldUpdate) return false;
 			}
 
@@ -303,21 +396,6 @@ class ConversationsStore {
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Navigation
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Updates the current node of the active conversation
-	 * @param nodeId - The new current node ID
-	 */
-	async updateCurrentNode(nodeId: string): Promise<void> {
-		if (!this.activeConversation) return;
-
-		await DatabaseService.updateCurrentNode(this.activeConversation.id, nodeId);
-		this.activeConversation.currNode = nodeId;
-	}
-
 	/**
 	 * Updates conversation lastModified timestamp and moves it to top of list
 	 */
@@ -329,12 +407,31 @@ class ConversationsStore {
 		if (chatIndex !== -1) {
 			this.conversations[chatIndex].lastModified = Date.now();
 			const updatedConv = this.conversations.splice(chatIndex, 1)[0];
-			this.conversations.unshift(updatedConv);
+			this.conversations = [updatedConv, ...this.conversations];
 		}
 	}
 
 	/**
-	 * Navigates to a specific sibling branch by updating currNode and refreshing messages
+	 * Updates the current node of the active conversation
+	 * @param nodeId - The new current node ID
+	 */
+	async updateCurrentNode(nodeId: string): Promise<void> {
+		if (!this.activeConversation) return;
+
+		await DatabaseService.updateCurrentNode(this.activeConversation.id, nodeId);
+		this.activeConversation = { ...this.activeConversation, currNode: nodeId };
+	}
+
+	/**
+	 *
+	 *
+	 * Branch Navigation
+	 *
+	 *
+	 */
+
+	/**
+	 * Navigates to a specific sibling branch by updating currNode and refreshing messages.
 	 * @param siblingId - The sibling message ID to navigate to
 	 */
 	async navigateToSibling(siblingId: string): Promise<void> {
@@ -343,19 +440,18 @@ class ConversationsStore {
 		const allMessages = await DatabaseService.getConversationMessages(this.activeConversation.id);
 		const rootMessage = allMessages.find((m) => m.type === 'root' && m.parent === null);
 		const currentFirstUserMessage = this.activeMessages.find(
-			(m) => m.role === 'user' && m.parent === rootMessage?.id
+			(m) => m.role === MessageRole.USER && m.parent === rootMessage?.id
 		);
 
 		const currentLeafNodeId = findLeafNode(allMessages, siblingId);
 
 		await DatabaseService.updateCurrentNode(this.activeConversation.id, currentLeafNodeId);
-		this.activeConversation.currNode = currentLeafNodeId;
+		this.activeConversation = { ...this.activeConversation, currNode: currentLeafNodeId };
 		await this.refreshActiveMessages();
 
-		// Only show title dialog if we're navigating between different first user message siblings
 		if (rootMessage && this.activeMessages.length > 0) {
 			const newFirstUserMessage = this.activeMessages.find(
-				(m) => m.role === 'user' && m.parent === rootMessage.id
+				(m) => m.role === MessageRole.USER && m.parent === rootMessage.id
 			);
 
 			if (
@@ -367,61 +463,164 @@ class ConversationsStore {
 			) {
 				await this.updateConversationTitleWithConfirmation(
 					this.activeConversation.id,
-					newFirstUserMessage.content.trim(),
-					this.titleUpdateConfirmationCallback
+					newFirstUserMessage.content.trim()
 				);
 			}
 		}
 	}
 
 	/**
-	 * Deletes a conversation and all its messages
-	 * @param convId - The conversation ID to delete
+	 *
+	 *
+	 * MCP Server Overrides
+	 *
+	 *
 	 */
-	async deleteConversation(convId: string): Promise<void> {
-		try {
-			await DatabaseService.deleteConversation(convId);
 
-			this.conversations = this.conversations.filter((c) => c.id !== convId);
+	/**
+	 * Gets MCP server override for a specific server in the active conversation.
+	 * Falls back to pending overrides if no active conversation exists.
+	 * @param serverId - The server ID to check
+	 * @returns The override if set, undefined if using global setting
+	 */
+	getMcpServerOverride(serverId: string): McpServerOverride | undefined {
+		if (this.activeConversation) {
+			return this.activeConversation.mcpServerOverrides?.find(
+				(o: McpServerOverride) => o.serverId === serverId
+			);
+		}
+		return this.pendingMcpServerOverrides.find((o) => o.serverId === serverId);
+	}
 
-			if (this.activeConversation?.id === convId) {
-				this.clearActiveConversation();
-				await goto(`?new_chat=true#/`);
-			}
-		} catch (error) {
-			console.error('Failed to delete conversation:', error);
+	/**
+	 * Get all MCP server overrides for the current conversation.
+	 * Returns pending overrides if no active conversation.
+	 */
+	getAllMcpServerOverrides(): McpServerOverride[] {
+		if (this.activeConversation?.mcpServerOverrides) {
+			return this.activeConversation.mcpServerOverrides;
 		}
+		return this.pendingMcpServerOverrides;
 	}
 
 	/**
-	 * Deletes all conversations and their messages
+	 * Checks if an MCP server is enabled for the active conversation.
+	 * @param serverId - The server ID to check
+	 * @returns True if server is enabled for this conversation
 	 */
-	async deleteAll(): Promise<void> {
-		try {
-			const allConversations = await DatabaseService.getAllConversations();
+	isMcpServerEnabledForChat(serverId: string): boolean {
+		const override = this.getMcpServerOverride(serverId);
+		return override?.enabled ?? false;
+	}
 
-			for (const conv of allConversations) {
-				await DatabaseService.deleteConversation(conv.id);
+	/**
+	 * Sets or removes MCP server override for the active conversation.
+	 * If no conversation exists, stores as pending override.
+	 * @param serverId - The server ID to override
+	 * @param enabled - The enabled state, or undefined to remove override
+	 */
+	async setMcpServerOverride(serverId: string, enabled: boolean | undefined): Promise<void> {
+		if (!this.activeConversation) {
+			this.setPendingMcpServerOverride(serverId, enabled);
+			return;
+		}
+
+		// Clone to plain objects to avoid Proxy serialization issues with IndexedDB
+		const currentOverrides = (this.activeConversation.mcpServerOverrides || []).map(
+			(o: McpServerOverride) => ({
+				serverId: o.serverId,
+				enabled: o.enabled
+			})
+		);
+		let newOverrides: McpServerOverride[];
+
+		if (enabled === undefined) {
+			newOverrides = currentOverrides.filter((o: McpServerOverride) => o.serverId !== serverId);
+		} else {
+			const existingIndex = currentOverrides.findIndex(
+				(o: McpServerOverride) => o.serverId === serverId
+			);
+			if (existingIndex >= 0) {
+				newOverrides = [...currentOverrides];
+				newOverrides[existingIndex] = { serverId, enabled };
+			} else {
+				newOverrides = [...currentOverrides, { serverId, enabled }];
 			}
+		}
 
-			this.clearActiveConversation();
-			this.conversations = [];
+		await DatabaseService.updateConversation(this.activeConversation.id, {
+			mcpServerOverrides: newOverrides.length > 0 ? newOverrides : undefined
+		});
 
-			toast.success('All conversations deleted');
+		this.activeConversation = {
+			...this.activeConversation,
+			mcpServerOverrides: newOverrides.length > 0 ? newOverrides : undefined
+		};
 
-			await goto(`?new_chat=true#/`);
-		} catch (error) {
-			console.error('Failed to delete all conversations:', error);
-			toast.error('Failed to delete conversations');
+		const convIndex = this.conversations.findIndex((c) => c.id === this.activeConversation!.id);
+		if (convIndex !== -1) {
+			this.conversations[convIndex].mcpServerOverrides =
+				newOverrides.length > 0 ? newOverrides : undefined;
+			this.conversations = [...this.conversations];
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Import/Export
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 * Sets or removes a pending MCP server override (for new conversations).
+	 */
+	private setPendingMcpServerOverride(serverId: string, enabled: boolean | undefined): void {
+		if (enabled === undefined) {
+			this.pendingMcpServerOverrides = this.pendingMcpServerOverrides.filter(
+				(o) => o.serverId !== serverId
+			);
+		} else {
+			const existingIndex = this.pendingMcpServerOverrides.findIndex(
+				(o) => o.serverId === serverId
+			);
+			if (existingIndex >= 0) {
+				const newOverrides = [...this.pendingMcpServerOverrides];
+				newOverrides[existingIndex] = { serverId, enabled };
+				this.pendingMcpServerOverrides = newOverrides;
+			} else {
+				this.pendingMcpServerOverrides = [...this.pendingMcpServerOverrides, { serverId, enabled }];
+			}
+		}
+	}
 
 	/**
-	 * Downloads a conversation as JSON file
+	 * Toggles MCP server enabled state for the active conversation.
+	 * @param serverId - The server ID to toggle
+	 */
+	async toggleMcpServerForChat(serverId: string): Promise<void> {
+		const currentEnabled = this.isMcpServerEnabledForChat(serverId);
+		await this.setMcpServerOverride(serverId, !currentEnabled);
+	}
+
+	/**
+	 * Removes MCP server override for the active conversation.
+	 * @param serverId - The server ID to remove override for
+	 */
+	async removeMcpServerOverride(serverId: string): Promise<void> {
+		await this.setMcpServerOverride(serverId, undefined);
+	}
+
+	/**
+	 * Clears all pending MCP server overrides.
+	 */
+	clearPendingMcpServerOverrides(): void {
+		this.pendingMcpServerOverrides = [];
+	}
+
+	/**
+	 *
+	 *
+	 * Import & Export
+	 *
+	 *
+	 */
+
+	/**
+	 * Downloads a conversation as JSON file.
 	 * @param convId - The conversation ID to download
 	 */
 	async downloadConversation(convId: string): Promise<void> {
@@ -532,15 +731,6 @@ class ConversationsStore {
 		});
 	}
 
-	/**
-	 * Gets all messages for a specific conversation
-	 * @param convId - The conversation ID
-	 * @returns Array of messages
-	 */
-	async getConversationMessages(convId: string): Promise<DatabaseMessage[]> {
-		return await DatabaseService.getConversationMessages(convId);
-	}
-
 	/**
 	 * Imports conversations from provided data (without file picker)
 	 * @param data - Array of conversation data with messages
@@ -554,61 +744,8 @@ class ConversationsStore {
 		return result;
 	}
 
-	/**
-	 * Adds a message to the active messages array
-	 * Used by chatStore when creating new messages
-	 * @param message - The message to add
-	 */
-	addMessageToActive(message: DatabaseMessage): void {
-		this.activeMessages.push(message);
-	}
-
-	/**
-	 * Updates a message at a specific index in active messages
-	 * Creates a new object to trigger Svelte 5 reactivity
-	 * @param index - The index of the message to update
-	 * @param updates - Partial message data to update
-	 */
-	updateMessageAtIndex(index: number, updates: Partial<DatabaseMessage>): void {
-		if (index !== -1 && this.activeMessages[index]) {
-			// Create new object to trigger Svelte 5 reactivity
-			this.activeMessages[index] = { ...this.activeMessages[index], ...updates };
-		}
-	}
-
-	/**
-	 * Finds the index of a message in active messages
-	 * @param messageId - The message ID to find
-	 * @returns The index of the message, or -1 if not found
-	 */
-	findMessageIndex(messageId: string): number {
-		return this.activeMessages.findIndex((m) => m.id === messageId);
-	}
-
-	/**
-	 * Removes messages from active messages starting at an index
-	 * @param startIndex - The index to start removing from
-	 */
-	sliceActiveMessages(startIndex: number): void {
-		this.activeMessages = this.activeMessages.slice(0, startIndex);
-	}
-
-	/**
-	 * Removes a message from active messages by index
-	 * @param index - The index to remove
-	 * @returns The removed message or undefined
-	 */
-	removeMessageAtIndex(index: number): DatabaseMessage | undefined {
-		if (index !== -1) {
-			return this.activeMessages.splice(index, 1)[0];
-		}
-		return undefined;
-	}
-
 	/**
 	 * Triggers file download in browser
-	 * @param data - The data to download
-	 * @param filename - Optional filename for the download
 	 */
 	private triggerDownload(data: ExportedConversations, filename?: string): void {
 		const conversation =
@@ -637,26 +774,16 @@ class ConversationsStore {
 		document.body.removeChild(a);
 		URL.revokeObjectURL(url);
 	}
-
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities
-	// ─────────────────────────────────────────────────────────────────────────────
-
-	/**
-	 * Sets the callback function for title update confirmations
-	 * @param callback - Function to call when confirmation is needed
-	 */
-	setTitleUpdateConfirmationCallback(
-		callback: (currentTitle: string, newTitle: string) => Promise<boolean>
-	): void {
-		this.titleUpdateConfirmationCallback = callback;
-	}
 }
 
 export const conversationsStore = new ConversationsStore();
 
+// Auto-initialize in browser
+if (browser) {
+	conversationsStore.init();
+}
+
 export const conversations = () => conversationsStore.conversations;
 export const activeConversation = () => conversationsStore.activeConversation;
 export const activeMessages = () => conversationsStore.activeMessages;
 export const isConversationsInitialized = () => conversationsStore.isInitialized;
-export const usedModalities = () => conversationsStore.usedModalities;
diff --git a/tools/server/webui/src/lib/stores/mcp-resources.svelte.ts b/tools/server/webui/src/lib/stores/mcp-resources.svelte.ts
new file mode 100644
index 00000000000..18347fb7521
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/mcp-resources.svelte.ts
@@ -0,0 +1,608 @@
+/**
+ * mcpResourceStore - Reactive State Store for MCP Resources
+ *
+ * Manages MCP protocol resources:
+ * - Resource discovery and listing per server
+ * - Resource content caching
+ * - Resource subscriptions
+ * - Resource attachments for chat context
+ *
+ * @see MCP Protocol Specification: https://modelcontextprotocol.io/specification/2025-06-18/server/resources
+ */
+
+import { SvelteMap } from 'svelte/reactivity';
+import { AttachmentType } from '$lib/enums';
+import {
+	MCP_RESOURCE_ATTACHMENT_ID_PREFIX,
+	MCP_RESOURCE_CACHE_MAX_ENTRIES,
+	MCP_RESOURCE_CACHE_TTL_MS,
+	NEWLINE_SEPARATOR,
+	RESOURCE_UNKNOWN_TYPE,
+	BINARY_CONTENT_LABEL
+} from '$lib/constants';
+import { normalizeResourceUri } from '$lib/utils';
+import type {
+	MCPResource,
+	MCPResourceTemplate,
+	MCPResourceContent,
+	MCPResourceInfo,
+	MCPResourceTemplateInfo,
+	MCPCachedResource,
+	MCPResourceAttachment,
+	MCPResourceSubscription,
+	MCPServerResources,
+	DatabaseMessageExtraMcpResource
+} from '$lib/types';
+
+function generateAttachmentId(): string {
+	return `${MCP_RESOURCE_ATTACHMENT_ID_PREFIX}-${Date.now()}-${Math.random().toString(36).substring(2, 9)}`;
+}
+
+class MCPResourceStore {
+	private _serverResources = $state<SvelteMap<string, MCPServerResources>>(new SvelteMap());
+	private _cachedResources = $state<SvelteMap<string, MCPCachedResource>>(new SvelteMap());
+	private _subscriptions = $state<SvelteMap<string, MCPResourceSubscription>>(new SvelteMap());
+	private _attachments = $state<MCPResourceAttachment[]>([]);
+	private _isLoading = $state(false);
+
+	get serverResources(): Map<string, MCPServerResources> {
+		return this._serverResources;
+	}
+
+	get cachedResources(): Map<string, MCPCachedResource> {
+		return this._cachedResources;
+	}
+
+	get subscriptions(): Map<string, MCPResourceSubscription> {
+		return this._subscriptions;
+	}
+
+	get attachments(): MCPResourceAttachment[] {
+		return this._attachments;
+	}
+
+	get isLoading(): boolean {
+		return this._isLoading;
+	}
+
+	get totalResourceCount(): number {
+		let count = 0;
+		for (const serverRes of this._serverResources.values()) {
+			count += serverRes.resources.length;
+		}
+
+		return count;
+	}
+
+	get totalTemplateCount(): number {
+		let count = 0;
+		for (const serverRes of this._serverResources.values()) {
+			count += serverRes.templates.length;
+		}
+
+		return count;
+	}
+
+	get attachmentCount(): number {
+		return this._attachments.length;
+	}
+
+	get hasAttachments(): boolean {
+		return this._attachments.length > 0;
+	}
+
+	/**
+	 *
+	 *
+	 * Server Resources Management
+	 *
+	 *
+	 */
+
+	/**
+	 * Set resources for a server (called after listResources)
+	 */
+	setServerResources(
+		serverName: string,
+		resources: MCPResource[],
+		templates: MCPResourceTemplate[]
+	): void {
+		this._serverResources.set(serverName, {
+			serverName,
+			resources,
+			templates,
+			lastFetched: new Date(),
+			loading: false,
+			error: undefined
+		});
+		console.log(
+			`[MCPResources][${serverName}] Set ${resources.length} resources, ${templates.length} templates`
+		);
+	}
+
+	/**
+	 * Set loading state for a server's resources
+	 */
+	setServerLoading(serverName: string, loading: boolean): void {
+		const existing = this._serverResources.get(serverName);
+		if (existing) {
+			this._serverResources.set(serverName, { ...existing, loading });
+		} else {
+			this._serverResources.set(serverName, {
+				serverName,
+				resources: [],
+				templates: [],
+				loading,
+				error: undefined
+			});
+		}
+	}
+
+	/**
+	 * Set error state for a server's resources
+	 */
+	setServerError(serverName: string, error: string): void {
+		const existing = this._serverResources.get(serverName);
+
+		if (existing) {
+			this._serverResources.set(serverName, { ...existing, loading: false, error });
+		} else {
+			this._serverResources.set(serverName, {
+				serverName,
+				resources: [],
+				templates: [],
+				loading: false,
+				error
+			});
+		}
+	}
+
+	/**
+	 * Get resources for a specific server
+	 */
+	getServerResources(serverName: string): MCPServerResources | undefined {
+		return this._serverResources.get(serverName);
+	}
+
+	/**
+	 * Get all resources as MCPResourceInfo array (flattened with server names)
+	 */
+	getAllResourceInfos(): MCPResourceInfo[] {
+		const result: MCPResourceInfo[] = [];
+
+		for (const [serverName, serverRes] of this._serverResources) {
+			for (const resource of serverRes.resources) {
+				result.push({
+					uri: resource.uri,
+					name: resource.name,
+					title: resource.title,
+					description: resource.description,
+					mimeType: resource.mimeType,
+					serverName,
+					annotations: resource.annotations,
+					icons: resource.icons
+				});
+			}
+		}
+
+		return result;
+	}
+
+	/**
+	 * Get all templates as MCPResourceTemplateInfo array (flattened with server names)
+	 */
+	getAllTemplateInfos(): MCPResourceTemplateInfo[] {
+		const result: MCPResourceTemplateInfo[] = [];
+
+		for (const [serverName, serverRes] of this._serverResources) {
+			for (const template of serverRes.templates) {
+				result.push({
+					uriTemplate: template.uriTemplate,
+					name: template.name,
+					title: template.title,
+					description: template.description,
+					mimeType: template.mimeType,
+					serverName,
+					annotations: template.annotations,
+					icons: template.icons
+				});
+			}
+		}
+
+		return result;
+	}
+
+	/**
+	 * Clear resources for a server (e.g., when disconnected)
+	 */
+	clearServerResources(serverName: string): void {
+		this._serverResources.delete(serverName);
+
+		// Also clear cached content for this server's resources
+		for (const [uri, cached] of this._cachedResources) {
+			if (cached.resource.serverName === serverName) {
+				this._cachedResources.delete(uri);
+			}
+		}
+
+		// Clear subscriptions for this server
+		for (const [uri, sub] of this._subscriptions) {
+			if (sub.serverName === serverName) {
+				this._subscriptions.delete(uri);
+			}
+		}
+
+		console.log(`[MCPResources][${serverName}] Cleared all resources`);
+	}
+
+	/**
+	 *
+	 *
+	 * Resource Content Caching
+	 *
+	 *
+	 */
+
+	/**
+	 * Cache resource content after reading
+	 */
+	cacheResourceContent(resource: MCPResourceInfo, content: MCPResourceContent[]): void {
+		// Enforce cache size limit
+		if (this._cachedResources.size >= MCP_RESOURCE_CACHE_MAX_ENTRIES) {
+			// Remove oldest entry
+			const oldestKey = this._cachedResources.keys().next().value;
+
+			if (oldestKey) {
+				this._cachedResources.delete(oldestKey);
+			}
+		}
+
+		this._cachedResources.set(resource.uri, {
+			resource,
+			content,
+			fetchedAt: new Date(),
+			subscribed: this._subscriptions.has(resource.uri)
+		});
+		console.log(`[MCPResources] Cached content for: ${resource.uri}`);
+	}
+
+	/**
+	 * Get cached content for a resource
+	 */
+	getCachedContent(uri: string): MCPCachedResource | undefined {
+		const cached = this._cachedResources.get(uri);
+		if (!cached) return undefined;
+
+		// Check if cache is still valid
+		const age = Date.now() - cached.fetchedAt.getTime();
+
+		if (age > MCP_RESOURCE_CACHE_TTL_MS && !cached.subscribed) {
+			// Cache expired and not subscribed, remove it
+			this._cachedResources.delete(uri);
+
+			return undefined;
+		}
+
+		return cached;
+	}
+
+	/**
+	 * Invalidate cached content for a resource (e.g., on update notification)
+	 */
+	invalidateCache(uri: string): void {
+		this._cachedResources.delete(uri);
+		console.log(`[MCPResources] Invalidated cache for: ${uri}`);
+	}
+
+	/**
+	 * Clear all cached content
+	 */
+	clearCache(): void {
+		this._cachedResources.clear();
+		console.log(`[MCPResources] Cleared all cached content`);
+	}
+
+	/**
+	 *
+	 *
+	 * Subscriptions
+	 *
+	 *
+	 */
+
+	/**
+	 * Register a subscription for a resource
+	 */
+	addSubscription(uri: string, serverName: string): void {
+		this._subscriptions.set(uri, {
+			uri,
+			serverName,
+			subscribedAt: new Date()
+		});
+
+		// Update cached resource if exists
+		const cached = this._cachedResources.get(uri);
+		if (cached) {
+			this._cachedResources.set(uri, { ...cached, subscribed: true });
+		}
+
+		console.log(`[MCPResources] Added subscription: ${uri}`);
+	}
+
+	/**
+	 * Remove a subscription for a resource
+	 */
+	removeSubscription(uri: string): void {
+		this._subscriptions.delete(uri);
+
+		// Update cached resource if exists
+		const cached = this._cachedResources.get(uri);
+		if (cached) {
+			this._cachedResources.set(uri, { ...cached, subscribed: false });
+		}
+
+		console.log(`[MCPResources] Removed subscription: ${uri}`);
+	}
+
+	/**
+	 * Check if a resource is subscribed
+	 */
+	isSubscribed(uri: string): boolean {
+		return this._subscriptions.has(uri);
+	}
+
+	/**
+	 * Handle resource update notification
+	 */
+	handleResourceUpdate(uri: string): void {
+		// Invalidate cache so next read gets fresh content
+		this.invalidateCache(uri);
+
+		// Update subscription last update time
+		const sub = this._subscriptions.get(uri);
+		if (sub) {
+			this._subscriptions.set(uri, { ...sub, lastUpdate: new Date() });
+		}
+
+		console.log(`[MCPResources] Resource updated: ${uri}`);
+	}
+
+	/**
+	 * Handle resources list changed notification
+	 */
+	handleResourcesListChanged(serverName: string): void {
+		// Mark server resources as needing refresh
+		const existing = this._serverResources.get(serverName);
+		if (existing) {
+			this._serverResources.set(serverName, {
+				...existing,
+				lastFetched: undefined // Mark as stale
+			});
+		}
+		console.log(`[MCPResources][${serverName}] Resources list changed, needs refresh`);
+	}
+
+	/**
+	 *
+	 *
+	 * Attachments (for chat context)
+	 *
+	 *
+	 */
+
+	/**
+	 * Add a resource attachment to the current chat context
+	 */
+	addAttachment(resource: MCPResourceInfo): MCPResourceAttachment {
+		const attachment: MCPResourceAttachment = {
+			id: generateAttachmentId(),
+			resource,
+			loading: true
+		};
+
+		this._attachments = [...this._attachments, attachment];
+		console.log(`[MCPResources] Added attachment: ${resource.uri}`);
+
+		return attachment;
+	}
+
+	/**
+	 * Update attachment with fetched content
+	 */
+	updateAttachmentContent(attachmentId: string, content: MCPResourceContent[]): void {
+		this._attachments = this._attachments.map((att) =>
+			att.id === attachmentId ? { ...att, content, loading: false, error: undefined } : att
+		);
+	}
+
+	/**
+	 * Update attachment with error
+	 */
+	updateAttachmentError(attachmentId: string, error: string): void {
+		this._attachments = this._attachments.map((att) =>
+			att.id === attachmentId ? { ...att, loading: false, error } : att
+		);
+	}
+
+	/**
+	 * Remove an attachment
+	 */
+	removeAttachment(attachmentId: string): void {
+		this._attachments = this._attachments.filter((att) => att.id !== attachmentId);
+		console.log(`[MCPResources] Removed attachment: ${attachmentId}`);
+	}
+
+	/**
+	 * Clear all attachments
+	 */
+	clearAttachments(): void {
+		this._attachments = [];
+		console.log(`[MCPResources] Cleared all attachments`);
+	}
+
+	/**
+	 * Get attachment by ID
+	 */
+	getAttachment(attachmentId: string): MCPResourceAttachment | undefined {
+		return this._attachments.find((att) => att.id === attachmentId);
+	}
+
+	/**
+	 * Check if a resource is already attached
+	 */
+	isAttached(uri: string): boolean {
+		const normalizedUri = normalizeResourceUri(uri);
+
+		return this._attachments.some(
+			(att) => att.resource.uri === uri || normalizeResourceUri(att.resource.uri) === normalizedUri
+		);
+	}
+
+	/**
+	 *
+	 *
+	 * Utility Methods
+	 *
+	 *
+	 */
+
+	/**
+	 * Set global loading state
+	 */
+	setLoading(loading: boolean): void {
+		this._isLoading = loading;
+	}
+
+	/**
+	 * Find resource info by URI across all servers
+	 */
+	findResourceByUri(uri: string): MCPResourceInfo | undefined {
+		const normalizedUri = normalizeResourceUri(uri);
+
+		for (const [serverName, serverRes] of this._serverResources) {
+			const resource =
+				serverRes.resources.find((r) => r.uri === uri) ??
+				serverRes.resources.find((r) => normalizeResourceUri(r.uri) === normalizedUri);
+
+			if (resource) {
+				return {
+					uri: resource.uri,
+					name: resource.name,
+					title: resource.title,
+					description: resource.description,
+					mimeType: resource.mimeType,
+					serverName,
+					annotations: resource.annotations,
+					icons: resource.icons
+				};
+			}
+		}
+
+		return undefined;
+	}
+
+	/**
+	 * Find server name for a resource URI
+	 */
+	findServerForUri(uri: string): string | undefined {
+		for (const [serverName, serverRes] of this._serverResources) {
+			if (serverRes.resources.some((r) => r.uri === uri)) {
+				return serverName;
+			}
+		}
+
+		return undefined;
+	}
+
+	/**
+	 * Clear all state (e.g., on full reset)
+	 */
+	clear(): void {
+		this._serverResources.clear();
+		this._cachedResources.clear();
+		this._subscriptions.clear();
+		this._attachments = [];
+		this._isLoading = false;
+		console.log(`[MCPResources] Cleared all state`);
+	}
+
+	/**
+	 * Get resource content as text for chat context
+	 * Formats content for inclusion in LLM prompts
+	 */
+	formatAttachmentsForContext(): string {
+		if (this._attachments.length === 0) return '';
+
+		const parts: string[] = [];
+
+		for (const attachment of this._attachments) {
+			if (attachment.error) continue;
+			if (!attachment.content || attachment.content.length === 0) continue;
+
+			const resourceName = attachment.resource.title || attachment.resource.name;
+			const serverName = attachment.resource.serverName;
+
+			for (const content of attachment.content) {
+				if ('text' in content && content.text) {
+					parts.push(`\n\n--- Resource: ${resourceName} (from ${serverName}) ---\n${content.text}`);
+				} else if ('blob' in content && content.blob) {
+					// For binary content, just note it exists
+					parts.push(
+						`\n\n--- Resource: ${resourceName} (from ${serverName}) ---\n[${BINARY_CONTENT_LABEL}: ${content.mimeType || RESOURCE_UNKNOWN_TYPE}]`
+					);
+				}
+			}
+		}
+
+		return parts.join('');
+	}
+
+	/**
+	 * Convert current resource attachments to DatabaseMessageExtra[] for persisting with a message.
+	 * Each attachment becomes a DatabaseMessageExtraMcpResource stored on the user message.
+	 */
+	toMessageExtras(): DatabaseMessageExtraMcpResource[] {
+		const extras: DatabaseMessageExtraMcpResource[] = [];
+
+		for (const attachment of this._attachments) {
+			if (attachment.error) continue;
+			if (!attachment.content || attachment.content.length === 0) continue;
+
+			const resourceName = attachment.resource.title || attachment.resource.name;
+			const contentParts: string[] = [];
+
+			for (const content of attachment.content) {
+				if ('text' in content && content.text) {
+					contentParts.push(content.text);
+				} else if ('blob' in content && content.blob) {
+					contentParts.push(
+						`[${BINARY_CONTENT_LABEL}: ${content.mimeType || RESOURCE_UNKNOWN_TYPE}]`
+					);
+				}
+			}
+
+			if (contentParts.length > 0) {
+				extras.push({
+					type: AttachmentType.MCP_RESOURCE,
+					name: resourceName,
+					uri: attachment.resource.uri,
+					serverName: attachment.resource.serverName,
+					content: contentParts.join(NEWLINE_SEPARATOR),
+					mimeType: attachment.resource.mimeType
+				});
+			}
+		}
+
+		return extras;
+	}
+}
+
+export const mcpResourceStore = new MCPResourceStore();
+
+// Export convenience functions
+export const mcpResources = () => mcpResourceStore.serverResources;
+export const mcpResourceAttachments = () => mcpResourceStore.attachments;
+export const mcpResourceAttachmentCount = () => mcpResourceStore.attachmentCount;
+export const mcpHasResourceAttachments = () => mcpResourceStore.hasAttachments;
+export const mcpTotalResourceCount = () => mcpResourceStore.totalResourceCount;
+export const mcpResourcesLoading = () => mcpResourceStore.isLoading;
diff --git a/tools/server/webui/src/lib/stores/mcp.svelte.ts b/tools/server/webui/src/lib/stores/mcp.svelte.ts
new file mode 100644
index 00000000000..f87789d7ab6
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/mcp.svelte.ts
@@ -0,0 +1,2085 @@
+/**
+ * mcpStore - Reactive State Store for MCP Operations
+ *
+ * Implements the "Host" role in MCP architecture, coordinating multiple server
+ * connections and providing a unified interface for tool operations.
+ *
+ * **Architecture & Relationships:**
+ * - **MCPService**: Stateless protocol layer (transport, connect, callTool)
+ * - **mcpStore** (this): Reactive state + business logic
+ *
+ * **Key Responsibilities:**
+ * - Lifecycle management (initialize, shutdown)
+ * - Multi-server coordination
+ * - Tool name conflict detection and resolution
+ * - OpenAI-compatible tool definition generation
+ * - Automatic tool-to-server routing
+ * - Health checks
+ *
+ * @see MCPService in services/mcp.service.ts for protocol operations
+ */
+
+import { browser } from '$app/environment';
+import { MCPService } from '$lib/services/mcp.service';
+import { config, settingsStore } from '$lib/stores/settings.svelte';
+import { mcpResourceStore } from '$lib/stores/mcp-resources.svelte';
+import { mode } from 'mode-watcher';
+import {
+	getProxiedUrlString,
+	parseMcpServerSettings,
+	detectMcpTransportFromUrl,
+	getFaviconUrl,
+	uuid
+} from '$lib/utils';
+import {
+	MCPConnectionPhase,
+	MCPLogLevel,
+	HealthCheckStatus,
+	MCPRefType,
+	ColorMode,
+	UrlProtocol,
+	JsonSchemaType,
+	ToolCallType
+} from '$lib/enums';
+import {
+	DEFAULT_CACHE_TTL_MS,
+	DEFAULT_MCP_CONFIG,
+	EXPECTED_THEMED_ICON_PAIR_COUNT,
+	MCP_ALLOWED_ICON_MIME_TYPES,
+	MCP_SERVER_ID_PREFIX,
+	MCP_RECONNECT_INITIAL_DELAY,
+	MCP_RECONNECT_BACKOFF_MULTIPLIER,
+	MCP_RECONNECT_MAX_DELAY,
+	MCP_RECONNECT_ATTEMPT_TIMEOUT_MS
+} from '$lib/constants';
+import type {
+	MCPToolCall,
+	OpenAIToolDefinition,
+	ServerStatus,
+	ToolExecutionResult,
+	MCPClientConfig,
+	MCPConnection,
+	HealthCheckParams,
+	ServerCapabilities,
+	ClientCapabilities,
+	MCPCapabilitiesInfo,
+	MCPConnectionLog,
+	MCPPromptInfo,
+	GetPromptResult,
+	Tool,
+	HealthCheckState,
+	MCPServerSettingsEntry,
+	MCPServerConfig,
+	MCPResourceIcon,
+	MCPResourceAttachment,
+	MCPResourceContent
+} from '$lib/types';
+import type { ListChangedHandlers } from '@modelcontextprotocol/sdk/types.js';
+import type { DatabaseMessageExtraMcpResource, McpServerOverride } from '$lib/types/database';
+import type { SettingsConfigType } from '$lib/types/settings';
+
+export function buildMcpClientConfig(
+	cfg: SettingsConfigType,
+	perChatOverrides?: McpServerOverride[]
+): MCPClientConfig | undefined {
+	return buildMcpClientConfigInternal(cfg, perChatOverrides);
+}
+
+/**
+ * Internal helper to build MCP client config.
+ * Kept as standalone function for external use and tests.
+ */
+export function buildMcpClientConfigInternal(
+	cfg: SettingsConfigType,
+	perChatOverrides?: McpServerOverride[]
+): MCPClientConfig | undefined {
+	const rawServers = parseServerSettings(cfg.mcpServers);
+	if (!rawServers.length) {
+		return undefined;
+	}
+
+	const servers: Record<string, MCPServerConfig> = {};
+
+	for (const [index, entry] of rawServers.entries()) {
+		if (!checkServerEnabled(entry, perChatOverrides)) continue;
+		const normalized = buildServerConfig(entry);
+		if (normalized) servers[generateMcpServerId(entry.id, index)] = normalized;
+	}
+
+	if (Object.keys(servers).length === 0) {
+		return undefined;
+	}
+
+	return {
+		protocolVersion: DEFAULT_MCP_CONFIG.protocolVersion,
+		capabilities: DEFAULT_MCP_CONFIG.capabilities,
+		clientInfo: DEFAULT_MCP_CONFIG.clientInfo,
+		requestTimeoutMs: Math.round(DEFAULT_MCP_CONFIG.requestTimeoutSeconds * 1000),
+		servers
+	};
+}
+
+/**
+ * Generates a unique server ID from an optional ID string or index.
+ * @deprecated Use MCPStore.#generateServerId instead
+ */
+function generateMcpServerId(id: unknown, index: number): string {
+	if (typeof id === 'string' && id.trim()) {
+		return id.trim();
+	}
+
+	return `${MCP_SERVER_ID_PREFIX}-${index + 1}`;
+}
+
+/**
+ * Parses raw server settings from config into MCPServerSettingsEntry array.
+ * @deprecated Use MCPStore.#parseServerSettings instead
+ */
+function parseServerSettings(rawServers: unknown): MCPServerSettingsEntry[] {
+	if (!rawServers) {
+		return [];
+	}
+
+	let parsed: unknown;
+	if (typeof rawServers === 'string') {
+		const trimmed = rawServers.trim();
+		if (!trimmed) {
+			return [];
+		}
+
+		try {
+			parsed = JSON.parse(trimmed);
+		} catch (error) {
+			console.warn('[MCP] Failed to parse mcpServers JSON:', error);
+
+			return [];
+		}
+	} else {
+		parsed = rawServers;
+	}
+	if (!Array.isArray(parsed)) {
+		return [];
+	}
+
+	return parsed.map((entry, index) => {
+		const url = typeof entry?.url === 'string' ? entry.url.trim() : '';
+		const headers = typeof entry?.headers === 'string' ? entry.headers.trim() : undefined;
+
+		return {
+			id: generateMcpServerId((entry as { id?: unknown })?.id, index),
+			enabled: Boolean((entry as { enabled?: unknown })?.enabled),
+			url,
+			name: (entry as { name?: string })?.name,
+			requestTimeoutSeconds: DEFAULT_MCP_CONFIG.requestTimeoutSeconds,
+			headers: headers || undefined,
+			useProxy: Boolean((entry as { useProxy?: unknown })?.useProxy)
+		} satisfies MCPServerSettingsEntry;
+	});
+}
+
+/**
+ * Builds server configuration from a settings entry.
+ * @deprecated Use MCPStore.#buildServerConfig instead
+ */
+function buildServerConfig(
+	entry: MCPServerSettingsEntry,
+	connectionTimeoutMs = DEFAULT_MCP_CONFIG.connectionTimeoutMs
+): MCPServerConfig | undefined {
+	if (!entry?.url) {
+		return undefined;
+	}
+
+	let headers: Record<string, string> | undefined;
+	if (entry.headers) {
+		try {
+			const parsed = JSON.parse(entry.headers);
+			if (typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed))
+				headers = parsed as Record<string, string>;
+		} catch {
+			console.warn('[MCP] Failed to parse custom headers JSON:', entry.headers);
+		}
+	}
+
+	return {
+		url: entry.url,
+		transport: detectMcpTransportFromUrl(entry.url),
+		handshakeTimeoutMs: connectionTimeoutMs,
+		requestTimeoutMs: Math.round(entry.requestTimeoutSeconds * 1000),
+		headers,
+		useProxy: entry.useProxy
+	};
+}
+
+/**
+ * Checks if a server is enabled, considering per-chat overrides.
+ * @deprecated Use MCPStore.#checkServerEnabled instead
+ */
+function checkServerEnabled(
+	server: MCPServerSettingsEntry,
+	perChatOverrides?: McpServerOverride[]
+): boolean {
+	if (!server.enabled) {
+		return false;
+	}
+
+	if (perChatOverrides) {
+		const override = perChatOverrides.find((o) => o.serverId === server.id);
+
+		return override?.enabled ?? false;
+	}
+
+	return false;
+}
+
+class MCPStore {
+	private _isInitializing = $state(false);
+	private _error = $state<string | null>(null);
+	private _toolCount = $state(0);
+	private _connectedServers = $state<string[]>([]);
+	private _healthChecks = $state<Record<string, HealthCheckState>>({});
+
+	private connections = new Map<string, MCPConnection>();
+	private toolsIndex = new Map<string, string>();
+	private serverConfigs = new Map<string, MCPServerConfig>(); // Store configs for reconnection
+	private reconnectingServers = new Set<string>(); // Guard against concurrent reconnections
+	private configSignature: string | null = null;
+	private initPromise: Promise<boolean> | null = null;
+	private activeFlowCount = 0;
+
+	/**
+	 * Generates a unique server ID from an optional ID string or index.
+	 */
+	#generateServerId(id: unknown, index: number): string {
+		if (typeof id === 'string' && id.trim()) {
+			return id.trim();
+		}
+
+		return `${MCP_SERVER_ID_PREFIX}-${index + 1}`;
+	}
+
+	/**
+	 * Parses raw server settings from config into MCPServerSettingsEntry array.
+	 */
+	#parseServerSettings(rawServers: unknown): MCPServerSettingsEntry[] {
+		if (!rawServers) {
+			return [];
+		}
+
+		let parsed: unknown;
+		if (typeof rawServers === 'string') {
+			const trimmed = rawServers.trim();
+			if (!trimmed) {
+				return [];
+			}
+
+			try {
+				parsed = JSON.parse(trimmed);
+			} catch (error) {
+				console.warn('[MCP] Failed to parse mcpServers JSON:', error);
+
+				return [];
+			}
+		} else {
+			parsed = rawServers;
+		}
+		if (!Array.isArray(parsed)) {
+			return [];
+		}
+
+		return parsed.map((entry, index) => {
+			const url = typeof entry?.url === 'string' ? entry.url.trim() : '';
+			const headers = typeof entry?.headers === 'string' ? entry.headers.trim() : undefined;
+
+			return {
+				id: this.#generateServerId((entry as { id?: unknown })?.id, index),
+				enabled: Boolean((entry as { enabled?: unknown })?.enabled),
+				url,
+				name: (entry as { name?: string })?.name,
+				requestTimeoutSeconds: DEFAULT_MCP_CONFIG.requestTimeoutSeconds,
+				headers: headers || undefined,
+				useProxy: Boolean((entry as { useProxy?: unknown })?.useProxy)
+			} satisfies MCPServerSettingsEntry;
+		});
+	}
+
+	/**
+	 * Builds server configuration from a settings entry.
+	 */
+	#buildServerConfig(
+		entry: MCPServerSettingsEntry,
+		connectionTimeoutMs = DEFAULT_MCP_CONFIG.connectionTimeoutMs
+	): MCPServerConfig | undefined {
+		if (!entry?.url) {
+			return undefined;
+		}
+
+		let headers: Record<string, string> | undefined;
+		if (entry.headers) {
+			try {
+				const parsed = JSON.parse(entry.headers);
+				if (typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed))
+					headers = parsed as Record<string, string>;
+			} catch {
+				console.warn('[MCP] Failed to parse custom headers JSON:', entry.headers);
+			}
+		}
+
+		return {
+			url: entry.url,
+			transport: detectMcpTransportFromUrl(entry.url),
+			handshakeTimeoutMs: connectionTimeoutMs,
+			requestTimeoutMs: Math.round(entry.requestTimeoutSeconds * 1000),
+			headers,
+			useProxy: entry.useProxy
+		};
+	}
+
+	/**
+	 * Checks if a server is enabled, considering per-chat overrides.
+	 */
+	#checkServerEnabled(
+		server: MCPServerSettingsEntry,
+		perChatOverrides?: McpServerOverride[]
+	): boolean {
+		if (!server.enabled) {
+			return false;
+		}
+
+		if (perChatOverrides) {
+			const override = perChatOverrides.find((o) => o.serverId === server.id);
+
+			return override?.enabled ?? false;
+		}
+
+		return false;
+	}
+
+	/**
+	 * Builds MCP client configuration from settings.
+	 */
+	#buildMcpClientConfig(
+		cfg: SettingsConfigType,
+		perChatOverrides?: McpServerOverride[]
+	): MCPClientConfig | undefined {
+		const rawServers = this.#parseServerSettings(cfg.mcpServers);
+		if (!rawServers.length) {
+			return undefined;
+		}
+
+		const servers: Record<string, MCPServerConfig> = {};
+
+		for (const [index, entry] of rawServers.entries()) {
+			if (!this.#checkServerEnabled(entry, perChatOverrides)) continue;
+			const normalized = this.#buildServerConfig(entry);
+			if (normalized) servers[this.#generateServerId(entry.id, index)] = normalized;
+		}
+
+		if (Object.keys(servers).length === 0) {
+			return undefined;
+		}
+
+		return {
+			protocolVersion: DEFAULT_MCP_CONFIG.protocolVersion,
+			capabilities: DEFAULT_MCP_CONFIG.capabilities,
+			clientInfo: DEFAULT_MCP_CONFIG.clientInfo,
+			requestTimeoutMs: Math.round(DEFAULT_MCP_CONFIG.requestTimeoutSeconds * 1000),
+			servers
+		};
+	}
+
+	/**
+	 * Builds capabilities info from server and client capabilities.
+	 */
+	#buildCapabilitiesInfo(
+		serverCaps?: ServerCapabilities,
+		clientCaps?: ClientCapabilities
+	): MCPCapabilitiesInfo {
+		return {
+			server: {
+				tools: serverCaps?.tools ? { listChanged: serverCaps.tools.listChanged } : undefined,
+				prompts: serverCaps?.prompts ? { listChanged: serverCaps.prompts.listChanged } : undefined,
+				resources: serverCaps?.resources
+					? {
+							subscribe: serverCaps.resources.subscribe,
+							listChanged: serverCaps.resources.listChanged
+						}
+					: undefined,
+				logging: !!serverCaps?.logging,
+				completions: !!serverCaps?.completions,
+				tasks: !!serverCaps?.tasks
+			},
+			client: {
+				roots: clientCaps?.roots ? { listChanged: clientCaps.roots.listChanged } : undefined,
+				sampling: !!clientCaps?.sampling,
+				elicitation: clientCaps?.elicitation
+					? { form: !!clientCaps.elicitation.form, url: !!clientCaps.elicitation.url }
+					: undefined,
+				tasks: !!clientCaps?.tasks
+			}
+		};
+	}
+
+	get isInitializing(): boolean {
+		return this._isInitializing;
+	}
+
+	get isInitialized(): boolean {
+		return this.connections.size > 0;
+	}
+
+	get error(): string | null {
+		return this._error;
+	}
+
+	get toolCount(): number {
+		return this._toolCount;
+	}
+
+	get connectedServerCount(): number {
+		return this._connectedServers.length;
+	}
+
+	get connectedServerNames(): string[] {
+		return this._connectedServers;
+	}
+
+	get isEnabled(): boolean {
+		const mcpConfig = this.#buildMcpClientConfig(config());
+		return (
+			mcpConfig !== null && mcpConfig !== undefined && Object.keys(mcpConfig.servers).length > 0
+		);
+	}
+
+	get availableTools(): string[] {
+		return Array.from(this.toolsIndex.keys());
+	}
+
+	private updateState(state: {
+		isInitializing?: boolean;
+		error?: string | null;
+		toolCount?: number;
+		connectedServers?: string[];
+	}): void {
+		if (state.isInitializing !== undefined) {
+			this._isInitializing = state.isInitializing;
+		}
+
+		if (state.error !== undefined) {
+			this._error = state.error;
+		}
+
+		if (state.toolCount !== undefined) {
+			this._toolCount = state.toolCount;
+		}
+
+		if (state.connectedServers !== undefined) {
+			this._connectedServers = state.connectedServers;
+		}
+	}
+
+	updateHealthCheck(serverId: string, state: HealthCheckState): void {
+		this._healthChecks = { ...this._healthChecks, [serverId]: state };
+	}
+
+	getHealthCheckState(serverId: string): HealthCheckState {
+		return this._healthChecks[serverId] ?? { status: HealthCheckStatus.IDLE };
+	}
+
+	hasHealthCheck(serverId: string): boolean {
+		return (
+			serverId in this._healthChecks &&
+			this._healthChecks[serverId].status !== HealthCheckStatus.IDLE
+		);
+	}
+
+	clearHealthCheck(serverId: string): void {
+		// eslint-disable-next-line @typescript-eslint/no-unused-vars
+		const { [serverId]: _removed, ...rest } = this._healthChecks;
+		this._healthChecks = rest;
+	}
+
+	clearAllHealthChecks(): void {
+		this._healthChecks = {};
+	}
+
+	clearError(): void {
+		this._error = null;
+	}
+
+	getServers(): MCPServerSettingsEntry[] {
+		return parseMcpServerSettings(config().mcpServers);
+	}
+
+	/**
+	 * Get all active MCP connections.
+	 * @returns Map of server names to connections
+	 */
+	getConnections(): Map<string, MCPConnection> {
+		return this.connections;
+	}
+
+	getServerLabel(server: MCPServerSettingsEntry): string {
+		const healthState = this.getHealthCheckState(server.id);
+		if (healthState?.status === HealthCheckStatus.SUCCESS)
+			return (
+				healthState.serverInfo?.title || healthState.serverInfo?.name || server.name || server.url
+			);
+		return server.url;
+	}
+
+	getServerById(serverId: string): MCPServerSettingsEntry | undefined {
+		return this.getServers().find((s) => s.id === serverId);
+	}
+
+	/**
+	 * Get display name for an MCP server by its ID.
+	 * Falls back to the server ID if server is not found.
+	 */
+	getServerDisplayName(serverId: string): string {
+		const server = this.getServerById(serverId);
+		return server ? this.getServerLabel(server) : serverId;
+	}
+
+	/**
+	 * Validates that an icon URI uses a safe scheme (https: or data:).
+	 */
+	#isValidIconUri(src: string): boolean {
+		try {
+			if (src.startsWith(UrlProtocol.DATA)) return true;
+			const url = new URL(src);
+			return url.protocol === UrlProtocol.HTTPS;
+		} catch {
+			return false;
+		}
+	}
+
+	/**
+	 * Selects the best icon URL from an MCP icons array.
+	 * Follows security guidelines from the MCP specification:
+	 * - Only allows https: and data: URIs
+	 * - Filters to supported MIME types
+	 *
+	 * Selection priority:
+	 * 1. Icon matching the current color scheme (dark/light)
+	 * 2. Universal icon (no theme specified); if exactly 2, assumes [0]=light, [1]=dark
+	 * 3. First valid icon as last resort
+	 */
+	#getMcpIconUrl(icons: MCPResourceIcon[] | undefined, isDark = false): string | null {
+		if (!icons?.length) return null;
+
+		const validIcons = icons.filter((icon) => {
+			if (!icon.src || !this.#isValidIconUri(icon.src)) return false;
+			if (icon.mimeType && !MCP_ALLOWED_ICON_MIME_TYPES.has(icon.mimeType)) return false;
+			return true;
+		});
+
+		if (validIcons.length === 0) return null;
+
+		const preferredTheme = isDark ? ColorMode.DARK : ColorMode.LIGHT;
+
+		// 1. Prefer icon explicitly matching the current color scheme
+		const themedIcon = validIcons.find((icon) => icon.theme === preferredTheme);
+		if (themedIcon) return this.#proxyIconSrc(themedIcon.src);
+
+		// 2. Handle universal icons (no theme specified)
+		const universalIcons = validIcons.filter((icon) => !icon.theme);
+
+		if (universalIcons.length === EXPECTED_THEMED_ICON_PAIR_COUNT) {
+			// Heuristic: two theme-less icons → assume [0] = light, [1] = dark
+			return this.#proxyIconSrc(universalIcons[isDark ? 1 : 0].src);
+		}
+
+		if (universalIcons.length > 0) {
+			return this.#proxyIconSrc(universalIcons[0].src);
+		}
+
+		// 3. Last resort: use opposite-theme icon
+		return this.#proxyIconSrc(validIcons[0].src);
+	}
+
+	/**
+	 * Route an icon src through the CORS proxy if it's an HTTPS URL.
+	 * Data URIs are returned as-is.
+	 */
+	#proxyIconSrc(src: string): string {
+		if (src.startsWith('data:')) return src;
+
+		return getProxiedUrlString(src);
+	}
+
+	/**
+	 * Get icon URL for an MCP server by its ID.
+	 * Prefers the server's own icons (from MCP spec) and falls back
+	 * to Google's favicon service.
+	 * Returns null if server is not found.
+	 */
+	getServerFavicon(serverId: string): string | null {
+		const server = this.getServerById(serverId);
+		if (!server) {
+			return null;
+		}
+
+		const isDark = mode.current === ColorMode.DARK;
+		const healthState = this.getHealthCheckState(serverId);
+		if (healthState.status === HealthCheckStatus.SUCCESS && healthState.serverInfo?.icons) {
+			const mcpIconUrl = this.#getMcpIconUrl(healthState.serverInfo.icons, isDark);
+
+			if (mcpIconUrl) {
+				return mcpIconUrl;
+			}
+		}
+
+		return getFaviconUrl(server.url);
+	}
+
+	isAnyServerLoading(): boolean {
+		return this.getServers().some((s) => {
+			const state = this.getHealthCheckState(s.id);
+
+			return (
+				state.status === HealthCheckStatus.IDLE || state.status === HealthCheckStatus.CONNECTING
+			);
+		});
+	}
+
+	getServersSorted(): MCPServerSettingsEntry[] {
+		const servers = this.getServers();
+		if (this.isAnyServerLoading()) {
+			return servers;
+		}
+
+		return [...servers].sort((a, b) =>
+			this.getServerLabel(a).localeCompare(this.getServerLabel(b))
+		);
+	}
+
+	addServer(
+		serverData: Omit<MCPServerSettingsEntry, 'id' | 'requestTimeoutSeconds'> & { id?: string }
+	): void {
+		const servers = this.getServers();
+		const newServer: MCPServerSettingsEntry = {
+			id: serverData.id || (uuid() ?? `server-${Date.now()}`),
+			enabled: serverData.enabled,
+			url: serverData.url.trim(),
+			name: serverData.name,
+			headers: serverData.headers?.trim() || undefined,
+			requestTimeoutSeconds: DEFAULT_MCP_CONFIG.requestTimeoutSeconds,
+			useProxy: serverData.useProxy
+		};
+		settingsStore.updateConfig('mcpServers', JSON.stringify([...servers, newServer]));
+	}
+
+	updateServer(id: string, updates: Partial<MCPServerSettingsEntry>): void {
+		const servers = this.getServers();
+		settingsStore.updateConfig(
+			'mcpServers',
+			JSON.stringify(
+				servers.map((server) => (server.id === id ? { ...server, ...updates } : server))
+			)
+		);
+	}
+
+	removeServer(id: string): void {
+		const servers = this.getServers();
+		settingsStore.updateConfig('mcpServers', JSON.stringify(servers.filter((s) => s.id !== id)));
+		this.clearHealthCheck(id);
+	}
+
+	hasAvailableServers(): boolean {
+		return parseMcpServerSettings(config().mcpServers).some((s) => s.enabled && s.url.trim());
+	}
+	hasEnabledServers(perChatOverrides?: McpServerOverride[]): boolean {
+		return Boolean(this.#buildMcpClientConfig(config(), perChatOverrides));
+	}
+
+	getEnabledServersForConversation(
+		perChatOverrides?: McpServerOverride[]
+	): MCPServerSettingsEntry[] {
+		if (!perChatOverrides?.length) {
+			return [];
+		}
+
+		return this.getServers().filter((server) => {
+			if (!server.enabled) {
+				return false;
+			}
+
+			const override = perChatOverrides.find((o) => o.serverId === server.id);
+
+			return override?.enabled ?? false;
+		});
+	}
+
+	async ensureInitialized(perChatOverrides?: McpServerOverride[]): Promise<boolean> {
+		if (!browser) {
+			return false;
+		}
+
+		const mcpConfig = this.#buildMcpClientConfig(config(), perChatOverrides);
+		const signature = mcpConfig ? JSON.stringify(mcpConfig) : null;
+		if (!signature) {
+			await this.shutdown();
+
+			return false;
+		}
+		if (this.isInitialized && this.configSignature === signature) {
+			return true;
+		}
+
+		if (this.initPromise && this.configSignature === signature) {
+			return this.initPromise;
+		}
+
+		if (this.connections.size > 0 || this.initPromise) await this.shutdown();
+		return this.initialize(signature, mcpConfig!);
+	}
+
+	private async initialize(signature: string, mcpConfig: MCPClientConfig): Promise<boolean> {
+		this.updateState({ isInitializing: true, error: null });
+		this.configSignature = signature;
+
+		const serverEntries = Object.entries(mcpConfig.servers);
+
+		if (serverEntries.length === 0) {
+			this.updateState({ isInitializing: false, toolCount: 0, connectedServers: [] });
+
+			return false;
+		}
+		this.initPromise = this.doInitialize(signature, mcpConfig, serverEntries);
+
+		return this.initPromise;
+	}
+
+	private async doInitialize(
+		signature: string,
+		mcpConfig: MCPClientConfig,
+		serverEntries: [string, MCPClientConfig['servers'][string]][]
+	): Promise<boolean> {
+		const clientInfo = mcpConfig.clientInfo ?? DEFAULT_MCP_CONFIG.clientInfo;
+		const capabilities = mcpConfig.capabilities ?? DEFAULT_MCP_CONFIG.capabilities;
+		const results = await Promise.allSettled(
+			serverEntries.map(async ([name, serverConfig]) => {
+				// Store config for reconnection
+				this.serverConfigs.set(name, serverConfig);
+
+				const listChangedHandlers = this.createListChangedHandlers(name);
+				const connection = await MCPService.connect(
+					name,
+					serverConfig,
+					clientInfo,
+					capabilities,
+					(phase) => {
+						// Handle WebSocket disconnection
+						if (phase === MCPConnectionPhase.DISCONNECTED) {
+							console.log(`[MCPStore][${name}] Connection lost, starting auto-reconnect`);
+							this.autoReconnect(name);
+						}
+					},
+					listChangedHandlers
+				);
+
+				return { name, connection };
+			})
+		);
+		if (this.configSignature !== signature) {
+			for (const result of results) {
+				if (result.status === 'fulfilled')
+					await MCPService.disconnect(result.value.connection).catch(console.warn);
+			}
+
+			return false;
+		}
+		for (const result of results) {
+			if (result.status === 'fulfilled') {
+				const { name, connection } = result.value;
+
+				this.connections.set(name, connection);
+
+				for (const tool of connection.tools) {
+					if (this.toolsIndex.has(tool.name))
+						console.warn(
+							`[MCPStore] Tool name conflict: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${name}". Using tool from "${name}".`
+						);
+					this.toolsIndex.set(tool.name, name);
+				}
+			} else {
+				console.error(`[MCPStore] Failed to connect:`, result.reason);
+			}
+		}
+
+		const successCount = this.connections.size;
+		if (successCount === 0 && serverEntries.length > 0) {
+			this.updateState({
+				isInitializing: false,
+				error: 'All MCP server connections failed',
+				toolCount: 0,
+				connectedServers: []
+			});
+			this.initPromise = null;
+
+			return false;
+		}
+
+		this.updateState({
+			isInitializing: false,
+			error: null,
+			toolCount: this.toolsIndex.size,
+			connectedServers: Array.from(this.connections.keys())
+		});
+		this.initPromise = null;
+
+		return true;
+	}
+
+	private createListChangedHandlers(serverName: string): ListChangedHandlers {
+		return {
+			tools: {
+				onChanged: (error: Error | null, tools: Tool[] | null) => {
+					if (error) {
+						console.warn(`[MCPStore][${serverName}] Tools list changed error:`, error);
+						return;
+					}
+					this.handleToolsListChanged(serverName, tools ?? []);
+				}
+			},
+			prompts: {
+				onChanged: (error: Error | null) => {
+					if (error) {
+						console.warn(`[MCPStore][${serverName}] Prompts list changed error:`, error);
+						return;
+					}
+				}
+			}
+		};
+	}
+
+	private handleToolsListChanged(serverName: string, tools: Tool[]): void {
+		const connection = this.connections.get(serverName);
+		if (!connection) {
+			return;
+		}
+
+		for (const [toolName, ownerServer] of this.toolsIndex.entries()) {
+			if (ownerServer === serverName) this.toolsIndex.delete(toolName);
+		}
+
+		connection.tools = tools;
+
+		for (const tool of tools) {
+			if (this.toolsIndex.has(tool.name))
+				console.warn(
+					`[MCPStore] Tool name conflict after list change: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverName}". Using tool from "${serverName}".`
+				);
+			this.toolsIndex.set(tool.name, serverName);
+		}
+		this.updateState({ toolCount: this.toolsIndex.size });
+	}
+
+	acquireConnection(): void {
+		this.activeFlowCount++;
+	}
+
+	/**
+	 * Release a connection reference.
+	 * By default, keeps connections alive for reuse (shutdownIfUnused=false).
+	 * MCP spec encourages long-lived sessions to avoid reconnection overhead.
+	 */
+	async releaseConnection(shutdownIfUnused = false): Promise<void> {
+		this.activeFlowCount = Math.max(0, this.activeFlowCount - 1);
+		if (shutdownIfUnused && this.activeFlowCount === 0) {
+			await this.shutdown();
+		}
+	}
+
+	getActiveFlowCount(): number {
+		return this.activeFlowCount;
+	}
+
+	async shutdown(): Promise<void> {
+		if (this.initPromise) {
+			await this.initPromise.catch(() => {});
+			this.initPromise = null;
+		}
+
+		if (this.connections.size === 0) {
+			return;
+		}
+
+		await Promise.all(
+			Array.from(this.connections.values()).map((conn) =>
+				MCPService.disconnect(conn).catch((error) =>
+					console.warn(`[MCPStore] Error disconnecting ${conn.serverName}:`, error)
+				)
+			)
+		);
+
+		this.connections.clear();
+		this.toolsIndex.clear();
+		this.serverConfigs.clear();
+		this.configSignature = null;
+		this.updateState({ isInitializing: false, error: null, toolCount: 0, connectedServers: [] });
+	}
+
+	/**
+	 * Immediately reconnect to a server by creating a fresh transport and session.
+	 * Used when a session-expired error (HTTP 404) is detected during tool execution.
+	 * Per MCP spec 2025-11-25: client MUST discard session ID and re-initialize.
+	 *
+	 * Unlike autoReconnect (which uses exponential backoff for connectivity issues),
+	 * this performs a single immediate reconnection attempt since the server is known
+	 * to be reachable (it responded with 404).
+	 */
+	private async reconnectServer(serverName: string): Promise<void> {
+		const serverConfig = this.serverConfigs.get(serverName);
+		if (!serverConfig) {
+			throw new Error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);
+		}
+
+		// Disconnect stale connection (clears old transport + session ID)
+		const oldConnection = this.connections.get(serverName);
+		if (oldConnection) {
+			await MCPService.disconnect(oldConnection).catch(console.warn);
+			this.connections.delete(serverName);
+		}
+
+		console.log(`[MCPStore][${serverName}] Session expired, reconnecting with fresh session...`);
+
+		const listChangedHandlers = this.createListChangedHandlers(serverName);
+		const connection = await MCPService.connect(
+			serverName,
+			serverConfig,
+			DEFAULT_MCP_CONFIG.clientInfo,
+			DEFAULT_MCP_CONFIG.capabilities,
+			(phase) => {
+				if (phase === MCPConnectionPhase.DISCONNECTED) {
+					console.log(`[MCPStore][${serverName}] Connection lost, starting auto-reconnect`);
+					this.autoReconnect(serverName);
+				}
+			},
+			listChangedHandlers
+		);
+
+		// Replace connection and rebuild tool index for this server
+		this.connections.set(serverName, connection);
+		for (const tool of connection.tools) {
+			this.toolsIndex.set(tool.name, serverName);
+		}
+
+		console.log(`[MCPStore][${serverName}] Session recovered successfully`);
+	}
+
+	/**
+	 * Auto-reconnect to a server with exponential backoff.
+	 * Continues indefinitely until successful.
+	 *
+	 * Race-condition safety: when the phase callback fires a DISCONNECTED event
+	 * while we are still inside this function (e.g., the server drops right after
+	 * a successful connect()), a naive inner `autoReconnect()` call would be
+	 * swallowed by the `reconnectingServers` guard, leaving the server
+	 * permanently disconnected once the outer call exits. We solve this by
+	 * deferring the new reconnection via the `needsReconnect` flag: the flag is
+	 * set inside the phase callback and honoured in the `finally` block after
+	 * the guard entry has been removed.
+	 */
+	private async autoReconnect(serverName: string): Promise<void> {
+		// Guard against concurrent reconnections
+		if (this.reconnectingServers.has(serverName)) {
+			console.log(`[MCPStore][${serverName}] Reconnection already in progress, skipping`);
+
+			return;
+		}
+
+		const serverConfig = this.serverConfigs.get(serverName);
+		if (!serverConfig) {
+			console.error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);
+
+			return;
+		}
+
+		this.reconnectingServers.add(serverName);
+		let backoff = MCP_RECONNECT_INITIAL_DELAY;
+		// Flag set by the phase callback when a DISCONNECTED event fires while
+		// reconnectingServers still holds this server (see JSDoc above).
+		let needsReconnect = false;
+
+		try {
+			while (true) {
+				await new Promise((resolve) => setTimeout(resolve, backoff));
+
+				console.log(`[MCPStore][${serverName}] Auto-reconnecting...`);
+
+				try {
+					// Per-attempt timeout: reject if the server doesn't respond in time,
+					// then fall through to backoff logic as with any other failure.
+					const timeoutPromise = new Promise<never>((_, reject) =>
+						setTimeout(
+							() =>
+								reject(
+									new Error(
+										`Reconnect attempt timed out after ${MCP_RECONNECT_ATTEMPT_TIMEOUT_MS}ms`
+									)
+								),
+							MCP_RECONNECT_ATTEMPT_TIMEOUT_MS
+						)
+					);
+
+					needsReconnect = false;
+					const listChangedHandlers = this.createListChangedHandlers(serverName);
+					const connectPromise = MCPService.connect(
+						serverName,
+						serverConfig,
+						DEFAULT_MCP_CONFIG.clientInfo,
+						DEFAULT_MCP_CONFIG.capabilities,
+						(phase) => {
+							if (phase === MCPConnectionPhase.DISCONNECTED) {
+								if (this.reconnectingServers.has(serverName)) {
+									// Reconnect loop is active; defer to after it exits.
+									needsReconnect = true;
+								} else {
+									console.log(
+										`[MCPStore][${serverName}] Connection lost, restarting auto-reconnect`
+									);
+									this.autoReconnect(serverName);
+								}
+							}
+						},
+						listChangedHandlers
+					);
+
+					const connection = await Promise.race([connectPromise, timeoutPromise]);
+
+					// Replace old connection with new one
+					this.connections.set(serverName, connection);
+
+					// Rebuild tool index for this server
+					for (const tool of connection.tools) {
+						this.toolsIndex.set(tool.name, serverName);
+					}
+
+					console.log(`[MCPStore][${serverName}] Reconnected successfully`);
+					break;
+				} catch (error) {
+					console.warn(`[MCPStore][${serverName}] Reconnection failed:`, error);
+					backoff = Math.min(backoff * MCP_RECONNECT_BACKOFF_MULTIPLIER, MCP_RECONNECT_MAX_DELAY);
+				}
+			}
+		} finally {
+			this.reconnectingServers.delete(serverName);
+			// If the phase callback signalled a disconnect while this function held
+			// the guard, kick off a fresh reconnect now that the guard is released.
+			if (needsReconnect) {
+				console.log(
+					`[MCPStore][${serverName}] Deferred disconnect detected, restarting auto-reconnect`
+				);
+				this.autoReconnect(serverName);
+			}
+		}
+	}
+
+	getToolDefinitionsForLLM(): OpenAIToolDefinition[] {
+		const tools: OpenAIToolDefinition[] = [];
+
+		for (const connection of this.connections.values()) {
+			for (const tool of connection.tools) {
+				const rawSchema = (tool.inputSchema as Record<string, unknown>) ?? {
+					type: JsonSchemaType.OBJECT,
+					properties: {},
+					required: []
+				};
+
+				tools.push({
+					type: ToolCallType.FUNCTION as const,
+					function: {
+						name: tool.name,
+						description: tool.description,
+						parameters: this.normalizeSchemaProperties(rawSchema)
+					}
+				});
+			}
+		}
+
+		return tools;
+	}
+
+	private normalizeSchemaProperties(schema: Record<string, unknown>): Record<string, unknown> {
+		if (!schema || typeof schema !== 'object') {
+			return schema;
+		}
+
+		const normalized = { ...schema };
+		if (normalized.properties && typeof normalized.properties === 'object') {
+			const props = normalized.properties as Record<string, Record<string, unknown>>;
+			const normalizedProps: Record<string, Record<string, unknown>> = {};
+			for (const [key, prop] of Object.entries(props)) {
+				if (!prop || typeof prop !== 'object') {
+					normalizedProps[key] = prop;
+					continue;
+				}
+				const normalizedProp = { ...prop };
+				if (!normalizedProp.type && normalizedProp.default !== undefined) {
+					const defaultVal = normalizedProp.default;
+					if (typeof defaultVal === 'string') normalizedProp.type = 'string';
+					else if (typeof defaultVal === 'number')
+						normalizedProp.type = Number.isInteger(defaultVal) ? 'integer' : 'number';
+					else if (typeof defaultVal === 'boolean') normalizedProp.type = 'boolean';
+					else if (Array.isArray(defaultVal)) normalizedProp.type = 'array';
+					else if (typeof defaultVal === 'object' && defaultVal !== null)
+						normalizedProp.type = 'object';
+				}
+				if (normalizedProp.properties)
+					Object.assign(
+						normalizedProp,
+						this.normalizeSchemaProperties(normalizedProp as Record<string, unknown>)
+					);
+				if (normalizedProp.items && typeof normalizedProp.items === 'object')
+					normalizedProp.items = this.normalizeSchemaProperties(
+						normalizedProp.items as Record<string, unknown>
+					);
+				normalizedProps[key] = normalizedProp;
+			}
+			normalized.properties = normalizedProps;
+		}
+
+		return normalized;
+	}
+
+	getToolNames(): string[] {
+		return Array.from(this.toolsIndex.keys());
+	}
+
+	hasTool(toolName: string): boolean {
+		return this.toolsIndex.has(toolName);
+	}
+
+	getToolServer(toolName: string): string | undefined {
+		return this.toolsIndex.get(toolName);
+	}
+
+	hasPromptsSupport(): boolean {
+		for (const connection of this.connections.values()) {
+			if (connection.serverCapabilities?.prompts) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+
+	/**
+	 * Check if any enabled server with successful health check supports prompts.
+	 * Uses health check state since servers may not have active connections until
+	 * the user actually sends a message or uses prompts.
+	 * @param perChatOverrides - Per-chat server overrides to filter by enabled servers.
+	 *                          If provided (even empty array), only checks enabled servers.
+	 *                          If undefined, checks all servers with successful health checks.
+	 */
+	hasPromptsCapability(perChatOverrides?: McpServerOverride[]): boolean {
+		// If perChatOverrides is provided (even empty array), filter by enabled servers
+		if (perChatOverrides !== undefined) {
+			const enabledServerIds = new Set(
+				perChatOverrides.filter((o) => o.enabled).map((o) => o.serverId)
+			);
+
+			// No enabled servers = no capability
+			if (enabledServerIds.size === 0) {
+				return false;
+			}
+
+			// Check health check states for enabled servers with prompts capability
+			for (const [serverId, state] of Object.entries(this._healthChecks)) {
+				if (!enabledServerIds.has(serverId)) continue;
+				if (
+					state.status === HealthCheckStatus.SUCCESS &&
+					state.capabilities?.server?.prompts !== undefined
+				) {
+					return true;
+				}
+			}
+
+			// Also check active connections as fallback
+			for (const [serverName, connection] of this.connections) {
+				if (!enabledServerIds.has(serverName)) continue;
+				if (connection.serverCapabilities?.prompts) {
+					return true;
+				}
+			}
+
+			return false;
+		}
+
+		// No overrides provided - check all servers (global mode)
+		for (const state of Object.values(this._healthChecks)) {
+			if (
+				state.status === HealthCheckStatus.SUCCESS &&
+				state.capabilities?.server?.prompts !== undefined
+			) {
+				return true;
+			}
+		}
+
+		for (const connection of this.connections.values()) {
+			if (connection.serverCapabilities?.prompts) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+
+	async getAllPrompts(): Promise<MCPPromptInfo[]> {
+		const results: MCPPromptInfo[] = [];
+
+		for (const [serverName, connection] of this.connections) {
+			if (!connection.serverCapabilities?.prompts) continue;
+
+			const prompts = await MCPService.listPrompts(connection);
+
+			for (const prompt of prompts) {
+				results.push({
+					name: prompt.name,
+					description: prompt.description,
+					title: prompt.title,
+					serverName,
+					arguments: prompt.arguments?.map((arg) => ({
+						name: arg.name,
+						description: arg.description,
+						required: arg.required
+					}))
+				});
+			}
+		}
+
+		return results;
+	}
+
+	async getPrompt(
+		serverName: string,
+		promptName: string,
+		args?: Record<string, string>
+	): Promise<GetPromptResult> {
+		const connection = this.connections.get(serverName);
+		if (!connection) throw new Error(`Server "${serverName}" not found for prompt "${promptName}"`);
+
+		return MCPService.getPrompt(connection, promptName, args);
+	}
+
+	async executeTool(toolCall: MCPToolCall, signal?: AbortSignal): Promise<ToolExecutionResult> {
+		const toolName = toolCall.function.name;
+
+		const serverName = this.toolsIndex.get(toolName);
+		if (!serverName) throw new Error(`Unknown tool: ${toolName}`);
+
+		const connection = this.connections.get(serverName);
+		if (!connection) throw new Error(`Server "${serverName}" is not connected`);
+
+		const args = this.parseToolArguments(toolCall.function.arguments);
+
+		try {
+			return await MCPService.callTool(connection, { name: toolName, arguments: args }, signal);
+		} catch (error) {
+			// Session expired (server restarted) - reconnect and retry once
+			if (MCPService.isSessionExpiredError(error)) {
+				await this.reconnectServer(serverName);
+
+				const newConnection = this.connections.get(serverName);
+				if (!newConnection) throw new Error(`Failed to reconnect to "${serverName}"`);
+
+				return MCPService.callTool(newConnection, { name: toolName, arguments: args }, signal);
+			}
+
+			throw error;
+		}
+	}
+
+	async executeToolByName(
+		toolName: string,
+		args: Record<string, unknown>,
+		signal?: AbortSignal
+	): Promise<ToolExecutionResult> {
+		const serverName = this.toolsIndex.get(toolName);
+		if (!serverName) throw new Error(`Unknown tool: ${toolName}`);
+		const connection = this.connections.get(serverName);
+		if (!connection) throw new Error(`Server "${serverName}" is not connected`);
+
+		try {
+			return await MCPService.callTool(connection, { name: toolName, arguments: args }, signal);
+		} catch (error) {
+			if (MCPService.isSessionExpiredError(error)) {
+				await this.reconnectServer(serverName);
+
+				const newConnection = this.connections.get(serverName);
+				if (!newConnection) throw new Error(`Failed to reconnect to "${serverName}"`);
+
+				return MCPService.callTool(newConnection, { name: toolName, arguments: args }, signal);
+			}
+
+			throw error;
+		}
+	}
+
+	private parseToolArguments(args: string | Record<string, unknown>): Record<string, unknown> {
+		if (typeof args === 'string') {
+			const trimmed = args.trim();
+			if (trimmed === '') {
+				return {};
+			}
+
+			try {
+				const parsed = JSON.parse(trimmed);
+				if (typeof parsed !== 'object' || parsed === null || Array.isArray(parsed))
+					throw new Error(
+						`Tool arguments must be an object, got ${Array.isArray(parsed) ? 'array' : typeof parsed}`
+					);
+
+				return parsed as Record<string, unknown>;
+			} catch (error) {
+				throw new Error(`Failed to parse tool arguments as JSON: ${(error as Error).message}`);
+			}
+		}
+
+		if (typeof args === 'object' && args !== null && !Array.isArray(args)) {
+			return args;
+		}
+
+		throw new Error(`Invalid tool arguments type: ${typeof args}`);
+	}
+
+	async getPromptCompletions(
+		serverName: string,
+		promptName: string,
+		argumentName: string,
+		argumentValue: string
+	): Promise<{ values: string[]; total?: number; hasMore?: boolean } | null> {
+		const connection = this.connections.get(serverName);
+		if (!connection) {
+			console.warn(`[MCPStore] Server "${serverName}" is not connected`);
+			return null;
+		}
+		if (!connection.serverCapabilities?.completions) {
+			return null;
+		}
+
+		return MCPService.complete(
+			connection,
+			{ type: MCPRefType.PROMPT, name: promptName },
+			{ name: argumentName, value: argumentValue }
+		);
+	}
+
+	/**
+	 * Get completions for a resource template argument.
+	 * Uses the MCP Completion API with ref/resource.
+	 */
+	async getResourceCompletions(
+		serverName: string,
+		uriTemplate: string,
+		argumentName: string,
+		argumentValue: string
+	): Promise<{ values: string[]; total?: number; hasMore?: boolean } | null> {
+		const connection = this.connections.get(serverName);
+
+		if (!connection) {
+			console.warn(`[MCPStore] Server "${serverName}" is not connected`);
+			return null;
+		}
+
+		if (!connection.serverCapabilities?.completions) {
+			return null;
+		}
+
+		return MCPService.complete(
+			connection,
+			{ type: MCPRefType.RESOURCE, uri: uriTemplate },
+			{ name: argumentName, value: argumentValue }
+		);
+	}
+
+	/**
+	 * Read a resource by an arbitrary URI (e.g., one expanded from a template).
+	 * Unlike readResource(), this does not require the URI to be in the resources list.
+	 */
+	async readResourceByUri(serverName: string, uri: string): Promise<MCPResourceContent[] | null> {
+		const connection = this.connections.get(serverName);
+
+		if (!connection) {
+			console.error(`[MCPStore] No connection found for server: ${serverName}`);
+
+			return null;
+		}
+
+		try {
+			const result = await MCPService.readResource(connection, uri);
+
+			return result.contents;
+		} catch (error) {
+			console.error(`[MCPStore] Failed to read resource ${uri}:`, error);
+
+			return null;
+		}
+	}
+
+	private parseHeaders(headersJson?: string): Record<string, string> | undefined {
+		if (!headersJson?.trim()) {
+			return undefined;
+		}
+
+		try {
+			const parsed = JSON.parse(headersJson);
+			if (typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed))
+				return parsed as Record<string, string>;
+		} catch {
+			console.warn('[MCPStore] Failed to parse custom headers JSON:', headersJson);
+		}
+
+		return undefined;
+	}
+
+	async runHealthChecksForServers(
+		servers: {
+			id: string;
+			enabled: boolean;
+			url: string;
+			requestTimeoutSeconds: number;
+			headers?: string;
+		}[],
+		skipIfChecked = true,
+		promoteToActive = false
+	): Promise<void> {
+		const serversToCheck = skipIfChecked
+			? servers.filter((s) => !this.hasHealthCheck(s.id) && s.url.trim())
+			: servers.filter((s) => s.url.trim());
+
+		if (serversToCheck.length === 0) {
+			return;
+		}
+
+		const BATCH_SIZE = 5;
+		for (let i = 0; i < serversToCheck.length; i += BATCH_SIZE) {
+			const batch = serversToCheck.slice(i, i + BATCH_SIZE);
+			await Promise.allSettled(batch.map((server) => this.runHealthCheck(server, promoteToActive)));
+		}
+	}
+
+	/**
+	 * Check if a server already has an active connection that can be reused.
+	 * Returns the existing connection if available.
+	 */
+	getExistingConnection(serverId: string): MCPConnection | undefined {
+		return this.connections.get(serverId);
+	}
+
+	/**
+	 * Run a health check for a server.
+	 * If the server already has an active connection, reuses it instead of creating a new one.
+	 * If promoteToActive is true and server is enabled, the connection will be kept
+	 * and promoted to an active connection instead of being disconnected.
+	 */
+	async runHealthCheck(server: HealthCheckParams, promoteToActive = false): Promise<void> {
+		// Check if we already have an active connection for this server
+		const existingConnection = this.connections.get(server.id);
+		if (existingConnection) {
+			// Reuse existing connection - just refresh tools list
+			try {
+				const tools = await MCPService.listTools(existingConnection);
+				const capabilities = this.#buildCapabilitiesInfo(
+					existingConnection.serverCapabilities,
+					existingConnection.clientCapabilities
+				);
+				this.updateHealthCheck(server.id, {
+					status: HealthCheckStatus.SUCCESS,
+					tools: tools.map((tool) => ({
+						name: tool.name,
+						description: tool.description,
+						title: tool.title
+					})),
+					serverInfo: existingConnection.serverInfo,
+					capabilities,
+					transportType: existingConnection.transportType,
+					protocolVersion: existingConnection.protocolVersion,
+					instructions: existingConnection.instructions,
+					connectionTimeMs: existingConnection.connectionTimeMs,
+					logs: []
+				});
+				return;
+			} catch (error) {
+				console.warn(
+					`[MCPStore] Failed to reuse connection for ${server.id}, creating new one:`,
+					error
+				);
+				// Connection may be stale, remove it and create new one
+				this.connections.delete(server.id);
+			}
+		}
+
+		const trimmedUrl = server.url.trim();
+		const logs: MCPConnectionLog[] = [];
+		let currentPhase: MCPConnectionPhase = MCPConnectionPhase.IDLE;
+
+		if (!trimmedUrl) {
+			this.updateHealthCheck(server.id, {
+				status: HealthCheckStatus.ERROR,
+				message: 'Please enter a server URL first.',
+				logs: []
+			});
+			return;
+		}
+
+		this.updateHealthCheck(server.id, {
+			status: HealthCheckStatus.CONNECTING,
+			phase: MCPConnectionPhase.TRANSPORT_CREATING,
+			logs: []
+		});
+
+		const timeoutMs = Math.round(server.requestTimeoutSeconds * 1000);
+		const headers = this.parseHeaders(server.headers);
+
+		try {
+			const serverConfig: MCPServerConfig = {
+				url: trimmedUrl,
+				transport: detectMcpTransportFromUrl(trimmedUrl),
+				handshakeTimeoutMs: DEFAULT_MCP_CONFIG.connectionTimeoutMs,
+				requestTimeoutMs: timeoutMs,
+				headers,
+				useProxy: server.useProxy
+			};
+
+			// Store config for reconnection
+			this.serverConfigs.set(server.id, serverConfig);
+
+			const connection = await MCPService.connect(
+				server.id,
+				serverConfig,
+				DEFAULT_MCP_CONFIG.clientInfo,
+				DEFAULT_MCP_CONFIG.capabilities,
+				(phase, log) => {
+					currentPhase = phase;
+					logs.push(log);
+					this.updateHealthCheck(server.id, {
+						status: HealthCheckStatus.CONNECTING,
+						phase,
+						logs: [...logs]
+					});
+
+					// Handle WebSocket disconnection
+					if (phase === MCPConnectionPhase.DISCONNECTED && promoteToActive) {
+						console.log(
+							`[MCPStore][${server.id}] Connection lost during health check, starting auto-reconnect`
+						);
+						this.autoReconnect(server.id);
+					}
+				}
+			);
+
+			const tools = connection.tools.map((tool) => ({
+				name: tool.name,
+				description: tool.description,
+				title: tool.title
+			}));
+
+			const capabilities = this.#buildCapabilitiesInfo(
+				connection.serverCapabilities,
+				connection.clientCapabilities
+			);
+
+			this.updateHealthCheck(server.id, {
+				status: HealthCheckStatus.SUCCESS,
+				tools,
+				serverInfo: connection.serverInfo,
+				capabilities,
+				transportType: connection.transportType,
+				protocolVersion: connection.protocolVersion,
+				instructions: connection.instructions,
+				connectionTimeMs: connection.connectionTimeMs,
+				logs
+			});
+
+			// Promote to active connection or disconnect
+			if (promoteToActive && server.enabled) {
+				this.promoteHealthCheckToConnection(server.id, connection);
+			} else {
+				await MCPService.disconnect(connection);
+			}
+		} catch (error) {
+			const message = error instanceof Error ? error.message : 'Unknown error occurred';
+
+			logs.push({
+				timestamp: new Date(),
+				phase: MCPConnectionPhase.ERROR,
+				message: `Connection failed: ${message}`,
+				level: MCPLogLevel.ERROR
+			});
+
+			this.updateHealthCheck(server.id, {
+				status: HealthCheckStatus.ERROR,
+				message,
+				phase: currentPhase,
+				logs
+			});
+		}
+	}
+
+	/**
+	 * Promote a health check connection to an active connection.
+	 * This avoids the need to reconnect when the server is needed for agentic flows.
+	 */
+	private promoteHealthCheckToConnection(serverId: string, connection: MCPConnection): void {
+		// Register tools from the connection
+		for (const tool of connection.tools) {
+			if (this.toolsIndex.has(tool.name)) {
+				console.warn(
+					`[MCPStore] Tool name conflict during promotion: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverId}". Using tool from "${serverId}".`
+				);
+			}
+			this.toolsIndex.set(tool.name, serverId);
+		}
+
+		// Add to active connections
+		this.connections.set(serverId, connection);
+
+		// Update state
+		this.updateState({
+			toolCount: this.toolsIndex.size,
+			connectedServers: Array.from(this.connections.keys())
+		});
+	}
+
+	getServersStatus(): ServerStatus[] {
+		const statuses: ServerStatus[] = [];
+
+		for (const [name, connection] of this.connections) {
+			statuses.push({
+				name,
+				isConnected: true,
+				toolCount: connection.tools.length,
+				error: undefined
+			});
+		}
+
+		return statuses;
+	}
+
+	/**
+	 * Get aggregated server instructions from all connected servers.
+	 * Returns an array of { serverName, serverTitle, instructions } objects.
+	 */
+	getServerInstructions(): Array<{
+		serverName: string;
+		serverTitle?: string;
+		instructions: string;
+	}> {
+		const results: Array<{ serverName: string; serverTitle?: string; instructions: string }> = [];
+
+		for (const [serverName, connection] of this.connections) {
+			if (connection.instructions) {
+				results.push({
+					serverName,
+					serverTitle: connection.serverInfo?.title || connection.serverInfo?.name,
+					instructions: connection.instructions
+				});
+			}
+		}
+
+		return results;
+	}
+
+	/**
+	 * Get server instructions from health check results (for display before active connection).
+	 * Useful for showing instructions in settings UI.
+	 */
+	getHealthCheckInstructions(): Array<{
+		serverId: string;
+		serverTitle?: string;
+		instructions: string;
+	}> {
+		const results: Array<{ serverId: string; serverTitle?: string; instructions: string }> = [];
+
+		for (const [serverId, state] of Object.entries(this._healthChecks)) {
+			if (state.status === HealthCheckStatus.SUCCESS && state.instructions) {
+				results.push({
+					serverId,
+					serverTitle: state.serverInfo?.title || state.serverInfo?.name,
+					instructions: state.instructions
+				});
+			}
+		}
+
+		return results;
+	}
+
+	/**
+	 * Check if any connected server has instructions.
+	 */
+	hasServerInstructions(): boolean {
+		for (const connection of this.connections.values()) {
+			if (connection.instructions) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+
+	/**
+	 *
+	 *
+	 * Resources Operations
+	 *
+	 *
+	 */
+
+	/**
+	 * Check if any enabled server with successful health check supports resources.
+	 * Uses health check state since servers may not have active connections until
+	 * the user actually sends a message or uses prompts.
+	 * @param perChatOverrides - Per-chat server overrides to filter by enabled servers.
+	 *                          If provided (even empty array), only checks enabled servers.
+	 *                          If undefined, checks all servers with successful health checks.
+	 */
+	hasResourcesCapability(perChatOverrides?: McpServerOverride[]): boolean {
+		// If perChatOverrides is provided (even empty array), filter by enabled servers
+		if (perChatOverrides !== undefined) {
+			const enabledServerIds = new Set(
+				perChatOverrides.filter((o) => o.enabled).map((o) => o.serverId)
+			);
+			// No enabled servers = no capability
+			if (enabledServerIds.size === 0) {
+				return false;
+			}
+
+			// Check health check states for enabled servers with resources capability
+			for (const [serverId, state] of Object.entries(this._healthChecks)) {
+				if (!enabledServerIds.has(serverId)) continue;
+				if (
+					state.status === HealthCheckStatus.SUCCESS &&
+					state.capabilities?.server?.resources !== undefined
+				) {
+					return true;
+				}
+			}
+
+			// Also check active connections as fallback
+			for (const [serverName, connection] of this.connections) {
+				if (!enabledServerIds.has(serverName)) continue;
+				if (MCPService.supportsResources(connection)) {
+					return true;
+				}
+			}
+
+			return false;
+		}
+
+		// No overrides provided - check all servers (global mode)
+		for (const state of Object.values(this._healthChecks)) {
+			if (
+				state.status === HealthCheckStatus.SUCCESS &&
+				state.capabilities?.server?.resources !== undefined
+			) {
+				return true;
+			}
+		}
+
+		for (const connection of this.connections.values()) {
+			if (MCPService.supportsResources(connection)) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+
+	/**
+	 * Get list of servers that support resources.
+	 * Checks active connections first, then health check state as fallback.
+	 */
+	getServersWithResources(): string[] {
+		const servers: string[] = [];
+
+		// Check active connections
+		for (const [name, connection] of this.connections) {
+			if (MCPService.supportsResources(connection) && !servers.includes(name)) {
+				servers.push(name);
+			}
+		}
+
+		// Also check health check states for servers not yet connected
+		for (const [serverId, state] of Object.entries(this._healthChecks)) {
+			if (
+				!servers.includes(serverId) &&
+				state.status === HealthCheckStatus.SUCCESS &&
+				state.capabilities?.server?.resources !== undefined
+			) {
+				servers.push(serverId);
+			}
+		}
+
+		return servers;
+	}
+
+	/**
+	 * Fetch resources from all connected servers that support them.
+	 * Updates mcpResourceStore with the results.
+	 * @param forceRefresh - If true, bypass cache and fetch fresh data
+	 */
+	async fetchAllResources(forceRefresh: boolean = false): Promise<void> {
+		const serversWithResources = this.getServersWithResources();
+		if (serversWithResources.length === 0) {
+			return;
+		}
+
+		// Check if we have cached resources and they're recent (unless force refresh)
+		if (!forceRefresh) {
+			const allServersCached = serversWithResources.every((serverName) => {
+				const serverRes = mcpResourceStore.getServerResources(serverName);
+				if (!serverRes || !serverRes.lastFetched) {
+					return false;
+				}
+
+				// Cache is valid for 5 minutes
+				const age = Date.now() - serverRes.lastFetched.getTime();
+
+				return age < DEFAULT_CACHE_TTL_MS;
+			});
+
+			if (allServersCached) {
+				console.log('[MCPStore] Using cached resources');
+
+				return;
+			}
+		}
+
+		mcpResourceStore.setLoading(true);
+
+		try {
+			await Promise.all(
+				serversWithResources.map((serverName) => this.fetchServerResources(serverName))
+			);
+		} finally {
+			mcpResourceStore.setLoading(false);
+		}
+	}
+
+	/**
+	 * Fetch resources from a specific server.
+	 * Updates mcpResourceStore with the results.
+	 */
+	async fetchServerResources(serverName: string): Promise<void> {
+		const connection = this.connections.get(serverName);
+		if (!connection) {
+			console.warn(`[MCPStore] No connection found for server: ${serverName}`);
+			return;
+		}
+
+		if (!MCPService.supportsResources(connection)) {
+			return;
+		}
+
+		mcpResourceStore.setServerLoading(serverName, true);
+
+		try {
+			const [resources, templates] = await Promise.all([
+				MCPService.listAllResources(connection),
+				MCPService.listAllResourceTemplates(connection)
+			]);
+
+			mcpResourceStore.setServerResources(serverName, resources, templates);
+		} catch (error) {
+			const message = error instanceof Error ? error.message : String(error);
+			mcpResourceStore.setServerError(serverName, message);
+			console.error(`[MCPStore][${serverName}] Failed to fetch resources:`, error);
+		}
+	}
+
+	/**
+	 * Read resource content from a server.
+	 * Caches the result in mcpResourceStore.
+	 */
+	async readResource(uri: string): Promise<MCPResourceContent[] | null> {
+		// Check cache first
+		const cached = mcpResourceStore.getCachedContent(uri);
+		if (cached) {
+			return cached.content;
+		}
+
+		// Find which server has this resource
+		const serverName = mcpResourceStore.findServerForUri(uri);
+		if (!serverName) {
+			console.error(`[MCPStore] No server found for resource URI: ${uri}`);
+
+			return null;
+		}
+
+		const connection = this.connections.get(serverName);
+		if (!connection) {
+			console.error(`[MCPStore] No connection found for server: ${serverName}`);
+
+			return null;
+		}
+
+		try {
+			const result = await MCPService.readResource(connection, uri);
+			const resourceInfo = mcpResourceStore.findResourceByUri(uri);
+
+			if (resourceInfo) {
+				mcpResourceStore.cacheResourceContent(resourceInfo, result.contents);
+			}
+
+			return result.contents;
+		} catch (error) {
+			console.error(`[MCPStore] Failed to read resource ${uri}:`, error);
+
+			return null;
+		}
+	}
+
+	/**
+	 * Subscribe to resource updates.
+	 */
+	async subscribeToResource(uri: string): Promise<boolean> {
+		const serverName = mcpResourceStore.findServerForUri(uri);
+		if (!serverName) {
+			console.error(`[MCPStore] No server found for resource URI: ${uri}`);
+
+			return false;
+		}
+
+		const connection = this.connections.get(serverName);
+		if (!connection) {
+			console.error(`[MCPStore] No connection found for server: ${serverName}`);
+
+			return false;
+		}
+
+		if (!MCPService.supportsResourceSubscriptions(connection)) {
+			return false;
+		}
+
+		try {
+			await MCPService.subscribeResource(connection, uri);
+			mcpResourceStore.addSubscription(uri, serverName);
+
+			return true;
+		} catch (error) {
+			console.error(`[MCPStore] Failed to subscribe to resource ${uri}:`, error);
+
+			return false;
+		}
+	}
+
+	/**
+	 * Unsubscribe from resource updates.
+	 */
+	async unsubscribeFromResource(uri: string): Promise<boolean> {
+		const serverName = mcpResourceStore.findServerForUri(uri);
+		if (!serverName) {
+			console.error(`[MCPStore] No server found for resource URI: ${uri}`);
+
+			return false;
+		}
+
+		const connection = this.connections.get(serverName);
+		if (!connection) {
+			console.error(`[MCPStore] No connection found for server: ${serverName}`);
+
+			return false;
+		}
+
+		try {
+			await MCPService.unsubscribeResource(connection, uri);
+			mcpResourceStore.removeSubscription(uri);
+
+			return true;
+		} catch (error) {
+			console.error(`[MCPStore] Failed to unsubscribe from resource ${uri}:`, error);
+
+			return false;
+		}
+	}
+
+	/**
+	 * Add a resource as attachment to chat context.
+	 * Automatically fetches content if not cached.
+	 */
+	async attachResource(uri: string): Promise<MCPResourceAttachment | null> {
+		const resourceInfo = mcpResourceStore.findResourceByUri(uri);
+		if (!resourceInfo) {
+			console.error(`[MCPStore] Resource not found: ${uri}`);
+
+			return null;
+		}
+
+		// Check if already attached
+		if (mcpResourceStore.isAttached(uri)) {
+			return null;
+		}
+
+		// Add attachment (initially loading)
+		const attachment = mcpResourceStore.addAttachment(resourceInfo);
+
+		// Fetch content
+		try {
+			const content = await this.readResource(uri);
+
+			if (content) {
+				mcpResourceStore.updateAttachmentContent(attachment.id, content);
+			} else {
+				mcpResourceStore.updateAttachmentError(attachment.id, 'Failed to read resource');
+			}
+		} catch (error) {
+			const message = error instanceof Error ? error.message : String(error);
+			mcpResourceStore.updateAttachmentError(attachment.id, message);
+		}
+
+		return mcpResourceStore.getAttachment(attachment.id) ?? null;
+	}
+
+	/**
+	 * Remove a resource attachment from chat context.
+	 */
+	removeResourceAttachment(attachmentId: string): void {
+		mcpResourceStore.removeAttachment(attachmentId);
+	}
+
+	/**
+	 * Clear all resource attachments.
+	 */
+	clearResourceAttachments(): void {
+		mcpResourceStore.clearAttachments();
+	}
+
+	/**
+	 * Get formatted resource context for chat.
+	 */
+	getResourceContextForChat(): string {
+		return mcpResourceStore.formatAttachmentsForContext();
+	}
+
+	/**
+	 * Convert current resource attachments to DatabaseMessageExtra[] and clear them.
+	 * Called during message send to persist resources with the user message.
+	 */
+	consumeResourceAttachmentsAsExtras(): DatabaseMessageExtraMcpResource[] {
+		const extras = mcpResourceStore.toMessageExtras();
+		if (extras.length > 0) {
+			mcpResourceStore.clearAttachments();
+		}
+		return extras;
+	}
+}
+
+export const mcpStore = new MCPStore();
+
+export const mcpIsInitializing = () => mcpStore.isInitializing;
+export const mcpIsInitialized = () => mcpStore.isInitialized;
+export const mcpError = () => mcpStore.error;
+export const mcpIsEnabled = () => mcpStore.isEnabled;
+export const mcpAvailableTools = () => mcpStore.availableTools;
+export const mcpConnectedServerCount = () => mcpStore.connectedServerCount;
+export const mcpConnectedServerNames = () => mcpStore.connectedServerNames;
+export const mcpToolCount = () => mcpStore.toolCount;
+export const mcpServerInstructions = () => mcpStore.getServerInstructions();
+export const mcpHasServerInstructions = () => mcpStore.hasServerInstructions();
+
+// Resources exports
+export const mcpHasResourcesCapability = () => mcpStore.hasResourcesCapability();
+export const mcpServersWithResources = () => mcpStore.getServersWithResources();
+export const mcpResourceContext = () => mcpStore.getResourceContextForChat();
diff --git a/tools/server/webui/src/lib/stores/models.svelte.ts b/tools/server/webui/src/lib/stores/models.svelte.ts
index 34b26403e4e..a6d7d6572ff 100644
--- a/tools/server/webui/src/lib/stores/models.svelte.ts
+++ b/tools/server/webui/src/lib/stores/models.svelte.ts
@@ -1,8 +1,14 @@
-import { SvelteSet } from 'svelte/reactivity';
-import { ModelsService } from '$lib/services/models';
-import { PropsService } from '$lib/services/props';
+import { SvelteMap, SvelteSet } from 'svelte/reactivity';
+import { toast } from 'svelte-sonner';
 import { ServerModelStatus, ModelModality } from '$lib/enums';
+import { ModelsService, PropsService } from '$lib/services';
 import { serverStore } from '$lib/stores/server.svelte';
+import { TTLCache } from '$lib/utils';
+import {
+	MODEL_PROPS_CACHE_TTL_MS,
+	MODEL_PROPS_CACHE_MAX_ENTRIES,
+	FAVOURITE_MODELS_LOCALSTORAGE_KEY
+} from '$lib/constants';
 
 /**
  * modelsStore - Reactive store for model management in both MODEL and ROUTER modes
@@ -32,9 +38,13 @@ import { serverStore } from '$lib/stores/server.svelte';
  * - **Lazy loading**: ensureModelLoaded() loads models on demand
  */
 class ModelsStore {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// State
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * State
+	 *
+	 *
+	 */
 
 	models = $state<ModelOption[]>([]);
 	routerModels = $state<ApiModelDataEntry[]>([]);
@@ -45,13 +55,19 @@ class ModelsStore {
 	selectedModelName = $state<string | null>(null);
 
 	private modelUsage = $state<Map<string, SvelteSet<string>>>(new Map());
-	private modelLoadingStates = $state<Map<string, boolean>>(new Map());
+	private modelLoadingStates = new SvelteMap<string, boolean>();
+
+	favouriteModelIds = $state<Set<string>>(this.loadFavouritesFromStorage());
 
 	/**
-	 * Model-specific props cache
+	 * Model-specific props cache with TTL
 	 * Key: modelId, Value: props data including modalities
+	 * TTL: 10 minutes - props don't change frequently
 	 */
-	private modelPropsCache = $state<Map<string, ApiLlamaCppServerProps>>(new Map());
+	private modelPropsCache = new TTLCache<string, ApiLlamaCppServerProps>({
+		ttlMs: MODEL_PROPS_CACHE_TTL_MS,
+		maxEntries: MODEL_PROPS_CACHE_MAX_ENTRIES
+	});
 	private modelPropsFetching = $state<Set<string>>(new Set());
 
 	/**
@@ -59,9 +75,13 @@ class ModelsStore {
 	 */
 	propsCacheVersion = $state(0);
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Computed Getters
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Computed Getters
+	 *
+	 *
+	 */
 
 	get selectedModel(): ModelOption | null {
 		if (!this.selectedModelId) return null;
@@ -95,22 +115,24 @@ class ModelsStore {
 		return props.model_path.split(/(\\|\/)/).pop() || null;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Modalities
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Modalities
+	 *
+	 *
+	 */
 
 	/**
 	 * Get modalities for a specific model
 	 * Returns cached modalities from model props
 	 */
 	getModelModalities(modelId: string): ModelModalities | null {
-		// First check if modalities are stored in the model option
 		const model = this.models.find((m) => m.model === modelId || m.id === modelId);
 		if (model?.modalities) {
 			return model.modalities;
 		}
 
-		// Fall back to props cache
 		const props = this.modelPropsCache.get(modelId);
 		if (props?.modalities) {
 			return {
@@ -155,15 +177,17 @@ class ModelsStore {
 	 * Get props for a specific model (from cache)
 	 */
 	getModelProps(modelId: string): ApiLlamaCppServerProps | null {
-		return this.modelPropsCache.get(modelId) ?? null;
+		return this.modelPropsCache.get(modelId);
 	}
 
 	/**
 	 * Get context size (n_ctx) for a specific model from cached props
 	 */
 	getModelContextSize(modelId: string): number | null {
-		const props = this.modelPropsCache.get(modelId);
-		return props?.default_generation_settings?.n_ctx ?? null;
+		const props = this.getModelProps(modelId);
+		const nCtx = props?.default_generation_settings?.n_ctx;
+
+		return typeof nCtx === 'number' ? nCtx : null;
 	}
 
 	/**
@@ -181,9 +205,13 @@ class ModelsStore {
 		return this.modelPropsFetching.has(modelId);
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Status Queries
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Status Queries
+	 *
+	 *
+	 */
 
 	isModelLoaded(modelId: string): boolean {
 		const model = this.routerModels.find((m) => m.id === modelId);
@@ -208,9 +236,13 @@ class ModelsStore {
 		return usage !== undefined && usage.size > 0;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Data Fetching
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Data Fetching
+	 *
+	 *
+	 */
 
 	/**
 	 * Fetch list of models from server and detect server role
@@ -224,7 +256,6 @@ class ModelsStore {
 		this.error = null;
 
 		try {
-			// Ensure server props are loaded (for role detection and MODEL mode modalities)
 			if (!serverStore.props) {
 				await serverStore.fetch();
 			}
@@ -237,21 +268,24 @@ class ModelsStore {
 				const displayNameSource =
 					details?.name && details.name.trim().length > 0 ? details.name : item.id;
 				const displayName = this.toDisplayName(displayNameSource);
+				const modelId = details?.model || item.id;
 
 				return {
 					id: item.id,
 					name: displayName,
-					model: details?.model || item.id,
+					model: modelId,
 					description: details?.description,
 					capabilities: rawCapabilities.filter((value: unknown): value is string => Boolean(value)),
 					details: details?.details,
-					meta: item.meta ?? null
+					meta: item.meta ?? null,
+					parsedId: ModelsService.parseModelId(modelId),
+					aliases: item.aliases ?? [],
+					tags: item.tags ?? []
 				} satisfies ModelOption;
 			});
 
 			this.models = models;
 
-			// In MODEL mode, populate modalities from serverStore.props (single model)
 			// WORKAROUND: In MODEL mode, /props returns modalities for the single model,
 			// but /v1/models doesn't include modalities. We bridge this gap here.
 			const serverProps = serverStore.props;
@@ -260,9 +294,7 @@ class ModelsStore {
 					vision: serverProps.modalities.vision ?? false,
 					audio: serverProps.modalities.audio ?? false
 				};
-				// Cache props for the single model
 				this.modelPropsCache.set(this.models[0].model, serverProps);
-				// Update model with modalities
 				this.models = this.models.map((model, index) =>
 					index === 0 ? { ...model, modalities } : model
 				);
@@ -285,6 +317,16 @@ class ModelsStore {
 			const response = await ModelsService.listRouter();
 			this.routerModels = response.data;
 			await this.fetchModalitiesForLoadedModels();
+
+			const o = this.models.filter((option) => {
+				const modelProps = this.getModelProps(option.model);
+
+				return modelProps?.webui !== false;
+			});
+
+			if (o.length === 1 && this.isModelLoaded(o[0].model)) {
+				this.selectModelById(o[0].id);
+			}
 		} catch (error) {
 			console.warn('Failed to fetch router models:', error);
 			this.routerModels = [];
@@ -302,7 +344,6 @@ class ModelsStore {
 	 * @returns Props data or null if fetch failed or model not loaded
 	 */
 	async fetchModelProps(modelId: string): Promise<ApiLlamaCppServerProps | null> {
-		// Return cached props if available
 		const cached = this.modelPropsCache.get(modelId);
 		if (cached) return cached;
 
@@ -310,7 +351,6 @@ class ModelsStore {
 			return null;
 		}
 
-		// Avoid duplicate fetches
 		if (this.modelPropsFetching.has(modelId)) return null;
 
 		this.modelPropsFetching.add(modelId);
@@ -335,7 +375,6 @@ class ModelsStore {
 		const loadedModelIds = this.loadedModelIds;
 		if (loadedModelIds.length === 0) return;
 
-		// Fetch props for each loaded model in parallel
 		const propsPromises = loadedModelIds.map((modelId) => this.fetchModelProps(modelId));
 
 		try {
@@ -357,7 +396,6 @@ class ModelsStore {
 				return { ...model, modalities };
 			});
 
-			// Increment version to trigger reactivity
 			this.propsCacheVersion++;
 		} catch (error) {
 			console.warn('Failed to fetch modalities for loaded models:', error);
@@ -382,16 +420,19 @@ class ModelsStore {
 				model.model === modelId ? { ...model, modalities } : model
 			);
 
-			// Increment version to trigger reactivity
 			this.propsCacheVersion++;
 		} catch (error) {
 			console.warn(`Failed to update modalities for model ${modelId}:`, error);
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Model Selection
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Model Selection
+	 *
+	 *
+	 */
 
 	/**
 	 * Select a model for new conversations
@@ -443,9 +484,13 @@ class ModelsStore {
 		return this.models.some((model) => model.model === modelName);
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Loading/Unloading Models
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Loading/Unloading Models
+	 *
+	 *
+	 */
 
 	/**
 	 * WORKAROUND: Polling for model status after load/unload operations.
@@ -463,22 +508,21 @@ class ModelsStore {
 
 	/** Polling interval in ms for checking model status */
 	private static readonly STATUS_POLL_INTERVAL = 500;
-	/** Maximum polling attempts before giving up */
-	private static readonly STATUS_POLL_MAX_ATTEMPTS = 60; // 30 seconds max
 
 	/**
 	 * Poll for expected model status after load/unload operation.
-	 * Keeps polling until the model reaches the expected status or max attempts reached.
+	 * Keeps polling indefinitely until the model reaches the expected status or fails.
 	 *
 	 * @param modelId - Model identifier to check
 	 * @param expectedStatus - Expected status to wait for
-	 * @returns Promise that resolves when expected status is reached
+	 * @throws Error if model reaches FAILED status
 	 */
 	private async pollForModelStatus(
 		modelId: string,
 		expectedStatus: ServerModelStatus
 	): Promise<void> {
-		for (let attempt = 0; attempt < ModelsStore.STATUS_POLL_MAX_ATTEMPTS; attempt++) {
+		let attempt = 0;
+		while (true) {
 			await this.fetchRouterModels();
 
 			const currentStatus = this.getModelStatus(modelId);
@@ -486,13 +530,23 @@ class ModelsStore {
 				return;
 			}
 
-			// Wait before next poll
+			if (currentStatus === ServerModelStatus.FAILED) {
+				throw new Error(
+					`Model failed to ${expectedStatus === ServerModelStatus.LOADED ? 'load' : 'unload'}`
+				);
+			}
+
+			if (
+				expectedStatus === ServerModelStatus.LOADED &&
+				currentStatus === ServerModelStatus.UNLOADED &&
+				attempt > 2
+			) {
+				throw new Error('Model was unloaded unexpectedly during loading');
+			}
+
+			attempt++;
 			await new Promise((resolve) => setTimeout(resolve, ModelsStore.STATUS_POLL_INTERVAL));
 		}
-
-		console.warn(
-			`Model ${modelId} did not reach expected status ${expectedStatus} after ${ModelsStore.STATUS_POLL_MAX_ATTEMPTS} attempts`
-		);
 	}
 
 	/**
@@ -511,13 +565,13 @@ class ModelsStore {
 
 		try {
 			await ModelsService.load(modelId);
-
-			// Poll until model is loaded
 			await this.pollForModelStatus(modelId, ServerModelStatus.LOADED);
 
 			await this.updateModelModalities(modelId);
+			toast.success(`Model loaded: ${this.toDisplayName(modelId)}`);
 		} catch (error) {
 			this.error = error instanceof Error ? error.message : 'Failed to load model';
+			toast.error(`Failed to load model: ${this.toDisplayName(modelId)}`);
 			throw error;
 		} finally {
 			this.modelLoadingStates.set(modelId, false);
@@ -542,8 +596,10 @@ class ModelsStore {
 			await ModelsService.unload(modelId);
 
 			await this.pollForModelStatus(modelId, ServerModelStatus.UNLOADED);
+			toast.info(`Model unloaded: ${this.toDisplayName(modelId)}`);
 		} catch (error) {
 			this.error = error instanceof Error ? error.message : 'Failed to unload model';
+			toast.error(`Failed to unload model: ${this.toDisplayName(modelId)}`);
 			throw error;
 		} finally {
 			this.modelLoadingStates.set(modelId, false);
@@ -562,9 +618,55 @@ class ModelsStore {
 		await this.loadModel(modelId);
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Favourites
+	 *
+	 *
+	 */
+
+	isFavourite(modelId: string): boolean {
+		return this.favouriteModelIds.has(modelId);
+	}
+
+	toggleFavourite(modelId: string): void {
+		const next = new SvelteSet(this.favouriteModelIds);
+
+		if (next.has(modelId)) {
+			next.delete(modelId);
+		} else {
+			next.add(modelId);
+		}
+
+		this.favouriteModelIds = next;
+
+		try {
+			localStorage.setItem(FAVOURITE_MODELS_LOCALSTORAGE_KEY, JSON.stringify([...next]));
+		} catch {
+			toast.error('Failed to save favourite models to local storage');
+		}
+	}
+
+	private loadFavouritesFromStorage(): Set<string> {
+		try {
+			const raw = localStorage.getItem(FAVOURITE_MODELS_LOCALSTORAGE_KEY);
+
+			return raw ? new Set(JSON.parse(raw) as string[]) : new Set();
+		} catch {
+			toast.error('Failed to load favourite models from local storage');
+
+			return new Set();
+		}
+	}
+
+	/**
+	 *
+	 *
+	 * Utilities
+	 *
+	 *
+	 */
 
 	private toDisplayName(id: string): string {
 		const segments = id.split(/\\|\//);
@@ -586,6 +688,14 @@ class ModelsStore {
 		this.modelPropsCache.clear();
 		this.modelPropsFetching.clear();
 	}
+
+	/**
+	 * Prune expired entries from caches.
+	 * Call periodically for proactive memory cleanup.
+	 */
+	pruneExpiredCache(): number {
+		return this.modelPropsCache.prune();
+	}
 }
 
 export const modelsStore = new ModelsStore();
@@ -603,3 +713,4 @@ export const loadingModelIds = () => modelsStore.loadingModelIds;
 export const propsCacheVersion = () => modelsStore.propsCacheVersion;
 export const singleModelName = () => modelsStore.singleModelName;
 export const selectedModelContextSize = () => modelsStore.selectedModelContextSize;
+export const favouriteModelIds = () => modelsStore.favouriteModelIds;
diff --git a/tools/server/webui/src/lib/stores/server.svelte.ts b/tools/server/webui/src/lib/stores/server.svelte.ts
index facfd333b61..48874bf1b7c 100644
--- a/tools/server/webui/src/lib/stores/server.svelte.ts
+++ b/tools/server/webui/src/lib/stores/server.svelte.ts
@@ -1,4 +1,4 @@
-import { PropsService } from '$lib/services/props';
+import { PropsService } from '$lib/services/props.service';
 import { ServerRole } from '$lib/enums';
 
 /**
@@ -18,9 +18,13 @@ import { ServerRole } from '$lib/enums';
  * - **Default Params**: Server-wide generation defaults
  */
 class ServerStore {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// State
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * State
+	 *
+	 *
+	 */
 
 	props = $state<ApiLlamaCppServerProps | null>(null);
 	loading = $state(false);
@@ -28,16 +32,22 @@ class ServerStore {
 	role = $state<ServerRole | null>(null);
 	private fetchPromise: Promise<void> | null = null;
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Getters
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Getters
+	 *
+	 *
+	 */
 
 	get defaultParams(): ApiLlamaCppServerProps['default_generation_settings']['params'] | null {
 		return this.props?.default_generation_settings?.params || null;
 	}
 
 	get contextSize(): number | null {
-		return this.props?.default_generation_settings?.n_ctx ?? null;
+		const nCtx = this.props?.default_generation_settings?.n_ctx;
+
+		return typeof nCtx === 'number' ? nCtx : null;
 	}
 
 	get webuiSettings(): Record<string, string | number | boolean> | undefined {
@@ -52,9 +62,13 @@ class ServerStore {
 		return this.role === ServerRole.MODEL;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Data Handling
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Data Handling
+	 *
+	 *
+	 */
 
 	async fetch(): Promise<void> {
 		if (this.fetchPromise) return this.fetchPromise;
@@ -115,9 +129,13 @@ class ServerStore {
 		this.fetchPromise = null;
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Utilities
+	 *
+	 *
+	 */
 
 	private detectRole(props: ApiLlamaCppServerProps): void {
 		const newRole = props?.role === ServerRole.ROUTER ? ServerRole.ROUTER : ServerRole.MODEL;
diff --git a/tools/server/webui/src/lib/stores/settings.svelte.ts b/tools/server/webui/src/lib/stores/settings.svelte.ts
index cda940ba7e8..8ab817c071a 100644
--- a/tools/server/webui/src/lib/stores/settings.svelte.ts
+++ b/tools/server/webui/src/lib/stores/settings.svelte.ts
@@ -32,8 +32,12 @@
  */
 
 import { browser } from '$app/environment';
-import { SETTING_CONFIG_DEFAULT } from '$lib/constants/settings-config';
-import { ParameterSyncService } from '$lib/services/parameter-sync';
+import {
+	CONFIG_LOCALSTORAGE_KEY,
+	SETTING_CONFIG_DEFAULT,
+	USER_OVERRIDES_LOCALSTORAGE_KEY
+} from '$lib/constants';
+import { ParameterSyncService } from '$lib/services/parameter-sync.service';
 import { serverStore } from '$lib/stores/server.svelte';
 import {
 	configToParameterRecord,
@@ -41,24 +45,28 @@ import {
 	getConfigValue,
 	setConfigValue
 } from '$lib/utils';
-import {
-	CONFIG_LOCALSTORAGE_KEY,
-	USER_OVERRIDES_LOCALSTORAGE_KEY
-} from '$lib/constants/localstorage-keys';
 
 class SettingsStore {
-	// ─────────────────────────────────────────────────────────────────────────────
-	// State
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * State
+	 *
+	 *
+	 */
 
 	config = $state<SettingsConfigType>({ ...SETTING_CONFIG_DEFAULT });
 	theme = $state<string>('auto');
 	isInitialized = $state(false);
 	userOverrides = $state<Set<string>>(new Set());
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities (private helpers)
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Utilities (private helpers)
+	 *
+	 *
+	 */
 
 	/**
 	 * Helper method to get server defaults with null safety
@@ -76,9 +84,13 @@ class SettingsStore {
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Lifecycle
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Lifecycle
+	 *
+	 *
+	 */
 
 	/**
 	 * Initialize the settings store by loading from localStorage
@@ -130,9 +142,13 @@ class SettingsStore {
 
 		this.theme = localStorage.getItem('theme') || 'auto';
 	}
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Config Updates
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Config Updates
+	 *
+	 *
+	 */
 
 	/**
 	 * Update a specific configuration setting
@@ -234,9 +250,13 @@ class SettingsStore {
 		}
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Reset
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Reset
+	 *
+	 *
+	 */
 
 	/**
 	 * Reset configuration to defaults
@@ -285,9 +305,13 @@ class SettingsStore {
 		this.saveConfig();
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Server Sync
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Server Sync
+	 *
+	 *
+	 */
 
 	/**
 	 * Initialize settings with props defaults when server properties are first loaded
@@ -349,9 +373,13 @@ class SettingsStore {
 		this.saveConfig();
 	}
 
-	// ─────────────────────────────────────────────────────────────────────────────
-	// Utilities
-	// ─────────────────────────────────────────────────────────────────────────────
+	/**
+	 *
+	 *
+	 * Utilities
+	 *
+	 *
+	 */
 
 	/**
 	 * Get a specific configuration value
diff --git a/tools/server/webui/src/lib/types/agentic.d.ts b/tools/server/webui/src/lib/types/agentic.d.ts
new file mode 100644
index 00000000000..f9d256e589a
--- /dev/null
+++ b/tools/server/webui/src/lib/types/agentic.d.ts
@@ -0,0 +1,121 @@
+import type { MessageRole } from '$lib/enums';
+import { ToolCallType } from '$lib/enums';
+import type {
+	ApiChatCompletionRequest,
+	ApiChatMessageContentPart,
+	ApiChatMessageData
+} from './api';
+import type { ChatMessageTimings, ChatMessagePromptProgress } from './chat';
+import type { DatabaseMessage, DatabaseMessageExtra, McpServerOverride } from './database';
+
+/**
+ * Agentic orchestration configuration.
+ */
+export interface AgenticConfig {
+	enabled: boolean;
+	maxTurns: number;
+	maxToolPreviewLines: number;
+}
+
+/**
+ * Tool call payload for agentic messages.
+ */
+export type AgenticToolCallPayload = {
+	id: string;
+	type: ToolCallType.FUNCTION;
+	function: {
+		name: string;
+		arguments: string;
+	};
+};
+
+/**
+ * Agentic message types for different roles.
+ */
+export type AgenticMessage =
+	| {
+			role: MessageRole.SYSTEM | MessageRole.USER;
+			content: string | ApiChatMessageContentPart[];
+	  }
+	| {
+			role: MessageRole.ASSISTANT;
+			content?: string | ApiChatMessageContentPart[];
+			tool_calls?: AgenticToolCallPayload[];
+	  }
+	| {
+			role: MessageRole.TOOL;
+			tool_call_id: string;
+			content: string | ApiChatMessageContentPart[];
+	  };
+
+export type AgenticAssistantMessage = Extract<AgenticMessage, { role: MessageRole.ASSISTANT }>;
+export type AgenticToolCallList = NonNullable<AgenticAssistantMessage['tool_calls']>;
+
+export type AgenticChatCompletionRequest = Omit<ApiChatCompletionRequest, 'messages'> & {
+	messages: AgenticMessage[];
+	stream: true;
+	tools?: ApiChatCompletionRequest['tools'];
+};
+
+/**
+ * Per-conversation agentic session state.
+ * Enables parallel agentic flows across multiple chats.
+ */
+export interface AgenticSession {
+	isRunning: boolean;
+	currentTurn: number;
+	totalToolCalls: number;
+	lastError: Error | null;
+	streamingToolCall: { name: string; arguments: string } | null;
+}
+
+/**
+ * Callbacks for agentic flow execution
+ */
+export interface AgenticFlowCallbacks {
+	onChunk?: (chunk: string) => void;
+	onReasoningChunk?: (chunk: string) => void;
+	onToolCallChunk?: (serializedToolCalls: string) => void;
+	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	onModel?: (model: string) => void;
+	onComplete?: (
+		content: string,
+		reasoningContent?: string,
+		timings?: ChatMessageTimings,
+		toolCalls?: string
+	) => void;
+	onError?: (error: Error) => void;
+	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
+	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
+}
+
+/**
+ * Options for agentic flow execution
+ */
+export interface AgenticFlowOptions {
+	stream?: boolean;
+	model?: string;
+	temperature?: number;
+	max_tokens?: number;
+	[key: string]: unknown;
+}
+
+/**
+ * Parameters for starting an agentic flow
+ */
+export interface AgenticFlowParams {
+	conversationId: string;
+	messages: (ApiChatMessageData | (DatabaseMessage & { extra?: DatabaseMessageExtra[] }))[];
+	options?: AgenticFlowOptions;
+	callbacks: AgenticFlowCallbacks;
+	signal?: AbortSignal;
+	perChatOverrides?: McpServerOverride[];
+}
+
+/**
+ * Result of an agentic flow execution
+ */
+export interface AgenticFlowResult {
+	handled: boolean;
+	error?: Error;
+}
diff --git a/tools/server/webui/src/lib/types/api.d.ts b/tools/server/webui/src/lib/types/api.d.ts
index 714509f024b..c908258427b 100644
--- a/tools/server/webui/src/lib/types/api.d.ts
+++ b/tools/server/webui/src/lib/types/api.d.ts
@@ -1,8 +1,19 @@
-import type { ServerModelStatus, ServerRole } from '$lib/enums';
-import type { ChatMessagePromptProgress } from './chat';
+import type { ContentPartType, ServerModelStatus, ServerRole } from '$lib/enums';
+import type { ChatMessagePromptProgress, ChatRole } from './chat';
+
+export interface ApiChatCompletionToolFunction {
+	name: string;
+	description?: string;
+	parameters: Record<string, unknown>;
+}
+
+export interface ApiChatCompletionTool {
+	type: 'function';
+	function: ApiChatCompletionToolFunction;
+}
 
 export interface ApiChatMessageContentPart {
-	type: 'text' | 'image_url' | 'input_audio';
+	type: ContentPartType;
 	text?: string;
 	image_url?: {
 		url: string;
@@ -34,6 +45,8 @@ export interface ApiErrorResponse {
 export interface ApiChatMessageData {
 	role: ChatRole;
 	content: string | ApiChatMessageContentPart[];
+	tool_calls?: ApiChatCompletionToolCall[];
+	tool_call_id?: string;
 	timestamp?: number;
 }
 
@@ -68,6 +81,10 @@ export interface ApiModelDataEntry {
 	path: string;
 	/** Current status of the model */
 	status: ApiModelStatus;
+	/** Alternative names that resolve to this model */
+	aliases?: string[];
+	/** Informational tags for this model */
+	tags?: string[];
 	/** Legacy meta field (may be present in older responses) */
 	meta?: Record<string, unknown> | null;
 }
@@ -188,6 +205,7 @@ export interface ApiChatCompletionRequest {
 	stream?: boolean;
 	model?: string;
 	return_progress?: boolean;
+	tools?: ApiChatCompletionTool[];
 	// Reasoning parameters
 	reasoning_format?: string;
 	// Generation parameters
@@ -247,6 +265,7 @@ export interface ApiChatCompletionStreamChunk {
 			model?: string;
 			tool_calls?: ApiChatCompletionToolCallDelta[];
 		};
+		finish_reason?: string | null;
 	}>;
 	timings?: {
 		prompt_n?: number;
@@ -267,8 +286,9 @@ export interface ApiChatCompletionResponse {
 			content: string;
 			reasoning_content?: string;
 			model?: string;
-			tool_calls?: ApiChatCompletionToolCallDelta[];
+			tool_calls?: ApiChatCompletionToolCall[];
 		};
+		finish_reason?: string | null;
 	}>;
 }
 
@@ -335,7 +355,7 @@ export interface ApiProcessingState {
 	tokensDecoded: number;
 	tokensRemaining: number;
 	contextUsed: number;
-	contextTotal: number;
+	contextTotal: number | null;
 	outputTokensUsed: number; // Total output tokens (thinking + regular content)
 	outputTokensMax: number; // Max output tokens allowed
 	temperature: number;
diff --git a/tools/server/webui/src/lib/types/chat.d.ts b/tools/server/webui/src/lib/types/chat.d.ts
index 0e706b72b66..3d2dd930cd6 100644
--- a/tools/server/webui/src/lib/types/chat.d.ts
+++ b/tools/server/webui/src/lib/types/chat.d.ts
@@ -1,5 +1,5 @@
-export type ChatMessageType = 'root' | 'text' | 'think' | 'system';
-export type ChatRole = 'user' | 'assistant' | 'system';
+import type { ErrorDialogType } from '$lib/enums';
+import type { DatabaseMessageExtra } from './database';
 
 export interface ChatUploadedFile {
 	id: string;
@@ -9,6 +9,13 @@ export interface ChatUploadedFile {
 	file: File;
 	preview?: string;
 	textContent?: string;
+	mcpPrompt?: {
+		serverName: string;
+		promptName: string;
+		arguments?: Record<string, string>;
+	};
+	isLoading?: boolean;
+	loadError?: string;
 }
 
 export interface ChatAttachmentDisplayItem {
@@ -17,6 +24,10 @@ export interface ChatAttachmentDisplayItem {
 	size?: number;
 	preview?: string;
 	isImage: boolean;
+	isMcpPrompt?: boolean;
+	isMcpResource?: boolean;
+	isLoading?: boolean;
+	loadError?: string;
 	uploadedFile?: ChatUploadedFile;
 	attachment?: DatabaseMessageExtra;
 	attachmentIndex?: number;
@@ -52,4 +63,102 @@ export interface ChatMessageTimings {
 	predicted_n?: number;
 	prompt_ms?: number;
 	prompt_n?: number;
+	agentic?: ChatMessageAgenticTimings;
+}
+
+export interface ChatMessageAgenticTimings {
+	turns: number;
+	toolCallsCount: number;
+	toolsMs: number;
+	toolCalls?: ChatMessageToolCallTiming[];
+	perTurn?: ChatMessageAgenticTurnStats[];
+	llm: {
+		predicted_n: number;
+		predicted_ms: number;
+		prompt_n: number;
+		prompt_ms: number;
+	};
+}
+
+export interface ChatMessageAgenticTurnStats {
+	turn: number;
+	llm: {
+		predicted_n: number;
+		predicted_ms: number;
+		prompt_n: number;
+		prompt_ms: number;
+	};
+	toolCalls: ChatMessageToolCallTiming[];
+	toolsMs: number;
+}
+
+export interface ChatMessageToolCallTiming {
+	name: string;
+	duration_ms: number;
+	success: boolean;
+}
+
+/**
+ * Callbacks for streaming chat responses
+ */
+export interface ChatStreamCallbacks {
+	onChunk?: (chunk: string) => void;
+	onReasoningChunk?: (chunk: string) => void;
+	onToolCallChunk?: (chunk: string) => void;
+	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	onModel?: (model: string) => void;
+	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
+	onComplete?: (
+		content?: string,
+		reasoningContent?: string,
+		timings?: ChatMessageTimings,
+		toolCallContent?: string
+	) => void;
+	onError?: (error: Error) => void;
+	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
+}
+
+/**
+ * Error dialog state for displaying server/timeout errors
+ */
+export interface ErrorDialogState {
+	type: ErrorDialogType;
+	message: string;
+	contextInfo?: { n_prompt_tokens: number; n_ctx: number };
+}
+
+/**
+ * Live processing stats during prompt evaluation
+ */
+export interface LiveProcessingStats {
+	tokensProcessed: number;
+	totalTokens: number;
+	timeMs: number;
+	tokensPerSecond: number;
+	etaSecs?: number;
+}
+
+/**
+ * Live generation stats during token generation
+ */
+export interface LiveGenerationStats {
+	tokensGenerated: number;
+	timeMs: number;
+	tokensPerSecond: number;
+}
+
+/**
+ * Options for getting attachment display items
+ */
+export interface AttachmentDisplayItemsOptions {
+	uploadedFiles?: ChatUploadedFile[];
+	attachments?: DatabaseMessageExtra[];
+}
+
+/**
+ * Result of file processing operation
+ */
+export interface FileProcessingResult {
+	extras: DatabaseMessageExtra[];
+	emptyFiles: string[];
 }
diff --git a/tools/server/webui/src/lib/types/common.d.ts b/tools/server/webui/src/lib/types/common.d.ts
new file mode 100644
index 00000000000..453d0cd7468
--- /dev/null
+++ b/tools/server/webui/src/lib/types/common.d.ts
@@ -0,0 +1,67 @@
+import type { AttachmentType } from '$lib/enums';
+
+/**
+ * Common utility types used across the application
+ */
+
+/**
+ * Common utility types used across the application
+ */
+
+/**
+ * Represents a key-value pair.
+ * Used for headers, environment variables, query parameters, etc.
+ */
+export interface KeyValuePair {
+	key: string;
+	value: string;
+}
+
+/**
+ * Binary detection configuration options
+ */
+export interface BinaryDetectionOptions {
+	/** Number of characters to check from the beginning of the file */
+	prefixLength: number;
+	/** Maximum ratio of suspicious characters allowed (0.0 to 1.0) */
+	suspiciousCharThresholdRatio: number;
+	/** Maximum absolute number of null bytes allowed */
+	maxAbsoluteNullBytes: number;
+}
+
+/**
+ * Format for text attachments when copied to clipboard
+ */
+export interface ClipboardTextAttachment {
+	type: typeof AttachmentType.TEXT;
+	name: string;
+	content: string;
+}
+
+/**
+ * Format for MCP prompt attachments when copied to clipboard
+ */
+export interface ClipboardMcpPromptAttachment {
+	type: typeof AttachmentType.MCP_PROMPT;
+	name: string;
+	serverName: string;
+	promptName: string;
+	content: string;
+	arguments?: Record<string, string>;
+}
+
+/**
+ * Union type for all clipboard attachment types
+ */
+export type ClipboardAttachment = ClipboardTextAttachment | ClipboardMcpPromptAttachment;
+
+/**
+ * Parsed result from clipboard content
+ */
+export interface ParsedClipboardContent {
+	message: string;
+	textAttachments: ClipboardTextAttachment[];
+	mcpPromptAttachments: ClipboardMcpPromptAttachment[];
+}
+
+export type MimeTypeUnion = MimeTypeAudio | MimeTypeImage | MimeTypeApplication | MimeTypeText;
diff --git a/tools/server/webui/src/lib/types/database.d.ts b/tools/server/webui/src/lib/types/database.d.ts
index 1a336e059cf..50f51ecf5dc 100644
--- a/tools/server/webui/src/lib/types/database.d.ts
+++ b/tools/server/webui/src/lib/types/database.d.ts
@@ -1,11 +1,17 @@
 import type { ChatMessageTimings, ChatRole, ChatMessageType } from '$lib/types/chat';
 import { AttachmentType } from '$lib/enums';
 
+export interface McpServerOverride {
+	serverId: string;
+	enabled: boolean;
+}
+
 export interface DatabaseConversation {
 	currNode: string | null;
 	id: string;
 	lastModified: number;
 	name: string;
+	mcpServerOverrides?: McpServerOverride[];
 }
 
 export interface DatabaseMessageExtraAudioFile {
@@ -35,9 +41,9 @@ export interface DatabaseMessageExtraPdfFile {
 	type: AttachmentType.PDF;
 	base64Data: string;
 	name: string;
-	content: string; // Text content extracted from PDF
-	images?: string[]; // Optional: PDF pages as base64 images
-	processedAsImages: boolean; // Whether PDF was processed as images
+	content: string;
+	images?: string[];
+	processedAsImages: boolean;
 }
 
 export interface DatabaseMessageExtraTextFile {
@@ -46,11 +52,31 @@ export interface DatabaseMessageExtraTextFile {
 	content: string;
 }
 
+export interface DatabaseMessageExtraMcpPrompt {
+	type: AttachmentType.MCP_PROMPT;
+	name: string;
+	serverName: string;
+	promptName: string;
+	content: string;
+	arguments?: Record<string, string>;
+}
+
+export interface DatabaseMessageExtraMcpResource {
+	type: AttachmentType.MCP_RESOURCE;
+	name: string;
+	uri: string;
+	serverName: string;
+	content: string;
+	mimeType?: string;
+}
+
 export type DatabaseMessageExtra =
 	| DatabaseMessageExtraImageFile
 	| DatabaseMessageExtraTextFile
 	| DatabaseMessageExtraAudioFile
 	| DatabaseMessageExtraPdfFile
+	| DatabaseMessageExtraMcpPrompt
+	| DatabaseMessageExtraMcpResource
 	| DatabaseMessageExtraLegacyContext;
 
 export interface DatabaseMessage {
@@ -60,26 +86,24 @@ export interface DatabaseMessage {
 	timestamp: number;
 	role: ChatRole;
 	content: string;
-	parent: string;
-	thinking: string;
+	parent: string | null;
+	/**
+	 * @deprecated - left for backward compatibility
+	 */
+	thinking?: string;
+	/** Serialized JSON array of tool calls made by assistant messages */
 	toolCalls?: string;
+	/** Tool call ID for tool result messages (role: 'tool') */
+	toolCallId?: string;
 	children: string[];
 	extra?: DatabaseMessageExtra[];
 	timings?: ChatMessageTimings;
 	model?: string;
 }
 
-/**
- * Represents a single conversation with its associated messages,
- * typically used for import/export operations.
- */
 export type ExportedConversation = {
 	conv: DatabaseConversation;
 	messages: DatabaseMessage[];
 };
 
-/**
- * Type representing one or more exported conversations.
- * Can be a single conversation object or an array of them.
- */
 export type ExportedConversations = ExportedConversation | ExportedConversation[];
diff --git a/tools/server/webui/src/lib/types/index.ts b/tools/server/webui/src/lib/types/index.ts
index 2a21c6dcfaf..93a39f03dae 100644
--- a/tools/server/webui/src/lib/types/index.ts
+++ b/tools/server/webui/src/lib/types/index.ts
@@ -34,22 +34,32 @@ export type {
 
 // Chat types
 export type {
-	ChatMessageType,
-	ChatRole,
 	ChatUploadedFile,
 	ChatAttachmentDisplayItem,
 	ChatAttachmentPreviewItem,
 	ChatMessageSiblingInfo,
 	ChatMessagePromptProgress,
-	ChatMessageTimings
-} from './chat';
+	ChatMessageTimings,
+	ChatMessageAgenticTimings,
+	ChatMessageAgenticTurnStats,
+	ChatMessageToolCallTiming,
+	ChatStreamCallbacks,
+	ErrorDialogState,
+	LiveProcessingStats,
+	LiveGenerationStats,
+	AttachmentDisplayItemsOptions,
+	FileProcessingResult
+} from './chat.d';
 
 // Database types
 export type {
+	McpServerOverride,
 	DatabaseConversation,
 	DatabaseMessageExtraAudioFile,
 	DatabaseMessageExtraImageFile,
 	DatabaseMessageExtraLegacyContext,
+	DatabaseMessageExtraMcpPrompt,
+	DatabaseMessageExtraMcpResource,
 	DatabaseMessageExtraPdfFile,
 	DatabaseMessageExtraTextFile,
 	DatabaseMessageExtra,
@@ -59,12 +69,85 @@ export type {
 } from './database';
 
 // Model types
-export type { ModelModalities, ModelOption } from './models';
+export type { ModelModalities, ModelOption, ModalityCapabilities } from './models';
 
 // Settings types
 export type {
 	SettingsConfigValue,
 	SettingsFieldConfig,
 	SettingsChatServiceOptions,
-	SettingsConfigType
+	SettingsConfigType,
+	ParameterValue,
+	ParameterRecord,
+	ParameterInfo,
+	SyncableParameter
 } from './settings';
+
+// Common types
+export type {
+	KeyValuePair,
+	BinaryDetectionOptions,
+	ClipboardTextAttachment,
+	ClipboardMcpPromptAttachment,
+	ClipboardAttachment,
+	ParsedClipboardContent
+} from './common';
+
+// MCP types
+export type {
+	ClientCapabilities,
+	ServerCapabilities,
+	Implementation,
+	MCPConnectionLog,
+	MCPServerInfo,
+	MCPCapabilitiesInfo,
+	MCPToolInfo,
+	MCPPromptInfo,
+	MCPConnectionDetails,
+	MCPPhaseCallback,
+	MCPConnection,
+	HealthCheckState,
+	HealthCheckParams,
+	MCPServerConfig,
+	MCPClientConfig,
+	MCPServerSettingsEntry,
+	MCPToolCall,
+	OpenAIToolDefinition,
+	ServerStatus,
+	ToolCallParams,
+	ToolExecutionResult,
+	Tool,
+	Prompt,
+	GetPromptResult,
+	PromptMessage,
+	MCPProgressState,
+	MCPResourceAnnotations,
+	MCPResourceIcon,
+	MCPResource,
+	MCPResourceTemplate,
+	MCPTextResourceContent,
+	MCPBlobResourceContent,
+	MCPResourceContent,
+	MCPReadResourceResult,
+	MCPResourceInfo,
+	MCPResourceTemplateInfo,
+	MCPCachedResource,
+	MCPResourceAttachment,
+	MCPResourceSubscription,
+	MCPServerResources
+} from './mcp';
+
+// Agentic types
+export type {
+	AgenticConfig,
+	AgenticToolCallPayload,
+	AgenticMessage,
+	AgenticAssistantMessage,
+	AgenticToolCallList,
+	AgenticChatCompletionRequest,
+	AgenticSession,
+	AgenticFlowCallbacks,
+	AgenticFlowOptions,
+	AgenticFlowParams,
+	AgenticFlowResult
+} from './agentic';
diff --git a/tools/server/webui/src/lib/types/mcp.d.ts b/tools/server/webui/src/lib/types/mcp.d.ts
new file mode 100644
index 00000000000..2ce2f739921
--- /dev/null
+++ b/tools/server/webui/src/lib/types/mcp.d.ts
@@ -0,0 +1,421 @@
+import type { MCPConnectionPhase, MCPLogLevel, HealthCheckStatus } from '$lib/enums/mcp';
+import type {
+	Client,
+	ClientCapabilities as SDKClientCapabilities,
+	ServerCapabilities as SDKServerCapabilities,
+	Implementation as SDKImplementation,
+	Tool,
+	CallToolResult,
+	Prompt,
+	GetPromptResult,
+	PromptMessage,
+	Transport
+} from '@modelcontextprotocol/sdk';
+import type { MimeTypeUnion } from './common';
+import type { ColorMode } from '$lib/enums';
+
+export type { Tool, CallToolResult, Prompt, GetPromptResult, PromptMessage };
+export type ClientCapabilities = SDKClientCapabilities;
+export type ServerCapabilities = SDKServerCapabilities;
+export type Implementation = SDKImplementation;
+
+/**
+ * Log entry for connection events
+ */
+export interface MCPConnectionLog {
+	timestamp: Date;
+	phase: MCPConnectionPhase;
+	message: string;
+	details?: unknown;
+	level: MCPLogLevel;
+}
+
+/**
+ * Server information returned after initialization
+ */
+export interface MCPServerInfo {
+	name: string;
+	version: string;
+	title?: string;
+	description?: string;
+	websiteUrl?: string;
+	icons?: MCPResourceIcon[];
+}
+
+/**
+ * Detailed capabilities information
+ */
+export interface MCPCapabilitiesInfo {
+	server: {
+		tools?: { listChanged?: boolean };
+		prompts?: { listChanged?: boolean };
+		resources?: { subscribe?: boolean; listChanged?: boolean };
+		logging?: boolean;
+		completions?: boolean;
+		tasks?: boolean;
+	};
+	client: {
+		roots?: { listChanged?: boolean };
+		sampling?: boolean;
+		elicitation?: { form?: boolean; url?: boolean };
+		tasks?: boolean;
+	};
+}
+
+/**
+ * Tool information for display
+ */
+export interface MCPToolInfo {
+	name: string;
+	description?: string;
+	title?: string;
+}
+
+/**
+ * Prompt information for display
+ */
+export interface MCPPromptInfo {
+	name: string;
+	description?: string;
+	title?: string;
+	serverName: string;
+	arguments?: Array<{
+		name: string;
+		description?: string;
+		required?: boolean;
+	}>;
+}
+
+/**
+ * Full connection details for visualization
+ */
+export interface MCPConnectionDetails {
+	phase: MCPConnectionPhase;
+	transportType?: MCPTransportType;
+	protocolVersion?: string;
+	serverInfo?: MCPServerInfo;
+	capabilities?: MCPCapabilitiesInfo;
+	instructions?: string;
+	tools: MCPToolInfo[];
+	connectionTimeMs?: number;
+	error?: string;
+	logs: MCPConnectionLog[];
+}
+
+/**
+ * Callback for connection phase changes
+ */
+export type MCPPhaseCallback = (
+	phase: MCPConnectionPhase,
+	log: MCPConnectionLog,
+	details?: {
+		transportType?: MCPTransportType;
+		serverInfo?: MCPServerInfo;
+		serverCapabilities?: ServerCapabilities;
+		clientCapabilities?: ClientCapabilities;
+		protocolVersion?: string;
+		instructions?: string;
+	}
+) => void;
+
+/**
+ * Represents an active MCP server connection.
+ * Returned by MCPService.connect() and used for subsequent operations.
+ */
+export interface MCPConnection {
+	client: Client;
+	transport: Transport;
+	tools: Tool[];
+	serverName: string;
+	transportType: MCPTransportType;
+	serverInfo?: MCPServerInfo;
+	serverCapabilities?: ServerCapabilities;
+	clientCapabilities?: ClientCapabilities;
+	protocolVersion?: string;
+	instructions?: string;
+	connectionTimeMs: number;
+}
+
+/**
+ * Extended health check state with detailed connection info
+ */
+export type HealthCheckState =
+	| { status: HealthCheckStatus.IDLE }
+	| {
+			status: HealthCheckStatus.CONNECTING;
+			phase: MCPConnectionPhase;
+			logs: MCPConnectionLog[];
+	  }
+	| {
+			status: HealthCheckStatus.ERROR;
+			message: string;
+			phase?: MCPConnectionPhase;
+			logs: MCPConnectionLog[];
+	  }
+	| {
+			status: HealthCheckStatus.SUCCESS;
+			tools: MCPToolInfo[];
+			serverInfo?: MCPServerInfo;
+			capabilities?: MCPCapabilitiesInfo;
+			transportType?: MCPTransportType;
+			protocolVersion?: string;
+			instructions?: string;
+			connectionTimeMs?: number;
+			logs: MCPConnectionLog[];
+	  };
+
+/**
+ * Health check parameters
+ */
+export interface HealthCheckParams {
+	id: string;
+	enabled: boolean;
+	url: string;
+	requestTimeoutSeconds: number;
+	headers?: string;
+	useProxy?: boolean;
+}
+
+export type MCPServerConfig = {
+	transport?: MCPTransportType;
+	url: string;
+	protocols?: string | string[];
+	headers?: Record<string, string>;
+	credentials?: RequestCredentials;
+	handshakeTimeoutMs?: number;
+	requestTimeoutMs?: number;
+	capabilities?: ClientCapabilities;
+	useProxy?: boolean;
+};
+
+export type MCPClientConfig = {
+	servers: Record<string, MCPServerConfig>;
+	protocolVersion?: string;
+	capabilities?: ClientCapabilities;
+	clientInfo?: Implementation;
+	requestTimeoutMs?: number;
+};
+
+export type MCPToolCallArguments = Record<string, unknown>;
+
+export type MCPToolCall = {
+	id: string;
+	function: {
+		name: string;
+		arguments: string | MCPToolCallArguments;
+	};
+};
+
+export type MCPServerSettingsEntry = {
+	id: string;
+	enabled: boolean;
+	url: string;
+	requestTimeoutSeconds: number;
+	headers?: string;
+	name?: string;
+	iconUrl?: string;
+	useProxy?: boolean;
+};
+
+export interface MCPHostManagerConfig {
+	servers: MCPClientConfig['servers'];
+	clientInfo?: Implementation;
+	capabilities?: ClientCapabilities;
+}
+
+export interface OpenAIToolDefinition {
+	type: 'function';
+	function: {
+		name: string;
+		description?: string;
+		parameters: Record<string, unknown>;
+	};
+}
+
+export interface ServerStatus {
+	name: string;
+	isConnected: boolean;
+	toolCount: number;
+	error?: string;
+}
+
+export interface MCPServerConnectionConfig {
+	name: string;
+	server: MCPServerConfig;
+	clientInfo?: Implementation;
+	capabilities?: ClientCapabilities;
+}
+
+export interface ToolCallParams {
+	name: string;
+	arguments: Record<string, unknown>;
+}
+
+export interface ToolExecutionResult {
+	content: string;
+	isError: boolean;
+}
+
+/**
+ * Progress tracking state for a specific operation
+ */
+export interface MCPProgressState {
+	progressToken: string | number;
+	serverName: string;
+	progress: number;
+	total?: number;
+	message?: string;
+	startTime: Date;
+	lastUpdate: Date;
+}
+
+/**
+ * Resource annotations for audience and priority hints
+ */
+export interface MCPResourceAnnotations {
+	audience?: ('user' | 'assistant')[];
+	priority?: number;
+	lastModified?: string;
+}
+
+/**
+ * Icon definition for resources
+ */
+export interface MCPResourceIcon {
+	src: string;
+	mimeType?: MimeTypeUnion;
+	sizes?: string[];
+	theme?: ColorMode.LIGHT | ColorMode.DARK;
+}
+
+/**
+ * A known resource that the server is capable of reading
+ */
+export interface MCPResource {
+	uri: string;
+	name: string;
+	title?: string;
+	description?: string;
+	mimeType?: MimeTypeUnion;
+	annotations?: MCPResourceAnnotations;
+	icons?: MCPResourceIcon[];
+	_meta?: Record<string, unknown>;
+}
+
+/**
+ * A template for dynamically generating resource URIs
+ */
+export interface MCPResourceTemplate {
+	uriTemplate: string;
+	name: string;
+	title?: string;
+	description?: string;
+	mimeType?: MimeTypeUnion;
+	annotations?: MCPResourceAnnotations;
+	icons?: MCPResourceIcon[];
+	_meta?: Record<string, unknown>;
+}
+
+/**
+ * Text content from a resource
+ */
+export interface MCPTextResourceContent {
+	uri: string;
+	mimeType?: MimeTypeUnion;
+	text: string;
+}
+
+/**
+ * Binary (blob) content from a resource
+ */
+export interface MCPBlobResourceContent {
+	uri: string;
+	mimeType?: MimeTypeUnion;
+	/** Base64-encoded binary data */
+	blob: string;
+}
+
+/**
+ * Union type for resource content
+ */
+export type MCPResourceContent = MCPTextResourceContent | MCPBlobResourceContent;
+
+/**
+ * Result from reading a resource
+ */
+export interface MCPReadResourceResult {
+	contents: MCPResourceContent[];
+	_meta?: Record<string, unknown>;
+}
+
+/**
+ * Resource information for display in UI
+ */
+export interface MCPResourceInfo {
+	uri: string;
+	name: string;
+	title?: string;
+	description?: string;
+	mimeType?: MimeTypeUnion;
+	serverName: string;
+	annotations?: MCPResourceAnnotations;
+	icons?: MCPResourceIcon[];
+}
+
+/**
+ * Resource template information for display in UI
+ */
+export interface MCPResourceTemplateInfo {
+	uriTemplate: string;
+	name: string;
+	title?: string;
+	description?: string;
+	mimeType?: MimeTypeUnion;
+	serverName: string;
+	annotations?: MCPResourceAnnotations;
+	icons?: MCPResourceIcon[];
+}
+
+/**
+ * Cached resource content with metadata
+ */
+export interface MCPCachedResource {
+	resource: MCPResourceInfo;
+	content: MCPResourceContent[];
+	fetchedAt: Date;
+	/** Whether this resource has an active subscription */
+	subscribed?: boolean;
+}
+
+/**
+ * Resource attachment for chat context
+ */
+export interface MCPResourceAttachment {
+	id: string;
+	resource: MCPResourceInfo;
+	content?: MCPResourceContent[];
+	loading?: boolean;
+	error?: string;
+}
+
+/**
+ * State for resource subscriptions
+ */
+export interface MCPResourceSubscription {
+	uri: string;
+	serverName: string;
+	subscribedAt: Date;
+	lastUpdate?: Date;
+}
+
+/**
+ * Aggregated resources state per server
+ */
+export interface MCPServerResources {
+	serverName: string;
+	resources: MCPResource[];
+	templates: MCPResourceTemplate[];
+	lastFetched?: Date;
+	loading: boolean;
+	error?: string;
+}
diff --git a/tools/server/webui/src/lib/types/models.d.ts b/tools/server/webui/src/lib/types/models.d.ts
index ef44a2cb6d4..dc8e86485ce 100644
--- a/tools/server/webui/src/lib/types/models.d.ts
+++ b/tools/server/webui/src/lib/types/models.d.ts
@@ -1,8 +1,5 @@
 import type { ApiModelDataEntry, ApiModelDetails } from '$lib/types/api';
 
-/**
- * Model modalities - vision and audio capabilities
- */
 export interface ModelModalities {
 	vision: boolean;
 	audio: boolean;
@@ -14,8 +11,29 @@ export interface ModelOption {
 	model: string;
 	description?: string;
 	capabilities: string[];
-	/** Model modalities from /props endpoint */
 	modalities?: ModelModalities;
 	details?: ApiModelDetails['details'];
 	meta?: ApiModelDataEntry['meta'];
+	parsedId?: ParsedModelId;
+	aliases?: string[];
+	tags?: string[];
+}
+
+export interface ParsedModelId {
+	raw: string;
+	orgName: string | null;
+	modelName: string | null;
+	params: string | null;
+	activatedParams: string | null;
+	format: string | null;
+	quantization: string | null;
+	tags: string[];
+}
+
+/**
+ * Modality capabilities for file validation
+ */
+export interface ModalityCapabilities {
+	hasVision: boolean;
+	hasAudio: boolean;
 }
diff --git a/tools/server/webui/src/lib/types/settings.d.ts b/tools/server/webui/src/lib/types/settings.d.ts
index 38b3047dd0a..67194d12ec0 100644
--- a/tools/server/webui/src/lib/types/settings.d.ts
+++ b/tools/server/webui/src/lib/types/settings.d.ts
@@ -1,15 +1,19 @@
-import type { SETTING_CONFIG_DEFAULT } from '$lib/constants/settings-config';
-import type { ChatMessageTimings } from './chat';
+import type { SETTING_CONFIG_DEFAULT } from '$lib/constants';
+import type { ChatMessagePromptProgress, ChatMessageTimings } from './chat';
+import type { OpenAIToolDefinition } from './mcp';
+import type { DatabaseMessageExtra } from './database';
+import type { ParameterSource, SyncableParameterType, SettingsFieldType } from '$lib/enums';
+import type { Icon } from '@lucide/svelte';
 
 export type SettingsConfigValue = string | number | boolean;
 
 export interface SettingsFieldConfig {
 	key: string;
 	label: string;
-	type: 'input' | 'textarea' | 'checkbox' | 'select';
+	type: SettingsFieldType;
 	isExperimental?: boolean;
 	help?: string;
-	options?: Array<{ value: string; label: string; icon?: typeof import('@lucide/svelte').Icon }>;
+	options?: Array<{ value: string; label: string; icon?: typeof Icon }>;
 }
 
 export interface SettingsChatServiceOptions {
@@ -18,8 +22,9 @@ export interface SettingsChatServiceOptions {
 	model?: string;
 	// System message to inject
 	systemMessage?: string;
-	// Disable reasoning format (use 'none' instead of 'auto')
-	disableReasoningFormat?: boolean;
+	// Disable reasoning parsing (use 'none' instead of 'auto')
+	disableReasoningParsing?: boolean;
+	tools?: OpenAIToolDefinition[];
 	// Generation parameters
 	temperature?: number;
 	max_tokens?: number;
@@ -51,6 +56,7 @@ export interface SettingsChatServiceOptions {
 	onChunk?: (chunk: string) => void;
 	onReasoningChunk?: (chunk: string) => void;
 	onToolCallChunk?: (chunk: string) => void;
+	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
 	onModel?: (model: string) => void;
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
 	onComplete?: (
@@ -65,3 +71,24 @@ export interface SettingsChatServiceOptions {
 export type SettingsConfigType = typeof SETTING_CONFIG_DEFAULT & {
 	[key: string]: SettingsConfigValue;
 };
+
+/**
+ * Parameter synchronization types for server defaults and user overrides
+ * Note: ParameterSource and SyncableParameterType enums are imported from '$lib/enums'
+ */
+export type ParameterValue = string | number | boolean;
+export type ParameterRecord = Record<string, ParameterValue>;
+
+export interface ParameterInfo {
+	value: string | number | boolean;
+	source: ParameterSource;
+	serverDefault?: string | number | boolean;
+	userOverride?: string | number | boolean;
+}
+
+export interface SyncableParameter {
+	key: string;
+	serverKey: string;
+	type: SyncableParameterType;
+	canSync: boolean;
+}
diff --git a/tools/server/webui/src/lib/utils/abort.ts b/tools/server/webui/src/lib/utils/abort.ts
new file mode 100644
index 00000000000..fc4f31ec694
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/abort.ts
@@ -0,0 +1,151 @@
+/**
+ * Abort Signal Utilities
+ *
+ * Provides utilities for consistent AbortSignal propagation across the application.
+ * These utilities help ensure that async operations can be properly cancelled
+ * when needed (e.g., user stops generation, navigates away, etc.).
+ */
+
+/**
+ * Throws an AbortError if the signal is aborted.
+ * Use this at the start of async operations to fail fast.
+ *
+ * @param signal - Optional AbortSignal to check
+ * @throws DOMException with name 'AbortError' if signal is aborted
+ *
+ * @example
+ * ```ts
+ * async function fetchData(signal?: AbortSignal) {
+ *   throwIfAborted(signal);
+ *   // ... proceed with operation
+ * }
+ * ```
+ */
+export function throwIfAborted(signal?: AbortSignal): void {
+	if (signal?.aborted) {
+		throw new DOMException('Operation was aborted', 'AbortError');
+	}
+}
+
+/**
+ * Checks if an error is an AbortError.
+ * Use this to distinguish between user-initiated cancellation and actual errors.
+ *
+ * @param error - Error to check
+ * @returns true if the error is an AbortError
+ *
+ * @example
+ * ```ts
+ * try {
+ *   await fetchData(signal);
+ * } catch (error) {
+ *   if (isAbortError(error)) {
+ *     // User cancelled - no error dialog needed
+ *     return;
+ *   }
+ *   // Handle actual error
+ * }
+ * ```
+ */
+export function isAbortError(error: unknown): boolean {
+	if (error instanceof DOMException && error.name === 'AbortError') {
+		return true;
+	}
+	if (error instanceof Error && error.name === 'AbortError') {
+		return true;
+	}
+	return false;
+}
+
+/**
+ * Creates a new AbortController that is linked to one or more parent signals.
+ * When any parent signal aborts, the returned controller also aborts.
+ *
+ * Useful for creating child operations that should be cancelled when
+ * either the parent operation or their own timeout/condition triggers.
+ *
+ * @param signals - Parent signals to link to (undefined signals are ignored)
+ * @returns A new AbortController linked to all provided signals
+ *
+ * @example
+ * ```ts
+ * // Link to user's abort signal and add a timeout
+ * const linked = createLinkedController(userSignal, timeoutSignal);
+ * await fetch(url, { signal: linked.signal });
+ * ```
+ */
+export function createLinkedController(...signals: (AbortSignal | undefined)[]): AbortController {
+	const controller = new AbortController();
+
+	for (const signal of signals) {
+		if (!signal) continue;
+
+		// If already aborted, abort immediately
+		if (signal.aborted) {
+			controller.abort(signal.reason);
+			return controller;
+		}
+
+		// Link to parent signal
+		signal.addEventListener('abort', () => controller.abort(signal.reason), { once: true });
+	}
+
+	return controller;
+}
+
+/**
+ * Creates an AbortSignal that times out after the specified duration.
+ *
+ * @param ms - Timeout duration in milliseconds
+ * @returns AbortSignal that will abort after the timeout
+ *
+ * @example
+ * ```ts
+ * const signal = createTimeoutSignal(5000); // 5 second timeout
+ * await fetch(url, { signal });
+ * ```
+ */
+export function createTimeoutSignal(ms: number): AbortSignal {
+	return AbortSignal.timeout(ms);
+}
+
+/**
+ * Wraps a promise to reject if the signal is aborted.
+ * Useful for making non-abortable promises respect an AbortSignal.
+ *
+ * @param promise - Promise to wrap
+ * @param signal - AbortSignal to respect
+ * @returns Promise that rejects with AbortError if signal aborts
+ *
+ * @example
+ * ```ts
+ * // Make a non-abortable operation respect abort signal
+ * const result = await withAbortSignal(
+ *   someNonAbortableOperation(),
+ *   signal
+ * );
+ * ```
+ */
+export async function withAbortSignal<T>(promise: Promise<T>, signal?: AbortSignal): Promise<T> {
+	if (!signal) return promise;
+
+	throwIfAborted(signal);
+
+	return new Promise<T>((resolve, reject) => {
+		const abortHandler = () => {
+			reject(new DOMException('Operation was aborted', 'AbortError'));
+		};
+
+		signal.addEventListener('abort', abortHandler, { once: true });
+
+		promise
+			.then((value) => {
+				signal.removeEventListener('abort', abortHandler);
+				resolve(value);
+			})
+			.catch((error) => {
+				signal.removeEventListener('abort', abortHandler);
+				reject(error);
+			});
+	});
+}
diff --git a/tools/server/webui/src/lib/utils/agentic.ts b/tools/server/webui/src/lib/utils/agentic.ts
new file mode 100644
index 00000000000..330b924bcd8
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/agentic.ts
@@ -0,0 +1,284 @@
+import { AgenticSectionType } from '$lib/enums';
+import { AGENTIC_TAGS, AGENTIC_REGEX, REASONING_TAGS, TRIM_NEWLINES_REGEX } from '$lib/constants';
+
+/**
+ * Represents a parsed section of agentic content
+ */
+export interface AgenticSection {
+	type: AgenticSectionType;
+	content: string;
+	toolName?: string;
+	toolArgs?: string;
+	toolResult?: string;
+}
+
+/**
+ * Represents a segment of content that may contain reasoning blocks
+ */
+type ReasoningSegment = {
+	type:
+		| AgenticSectionType.TEXT
+		| AgenticSectionType.REASONING
+		| AgenticSectionType.REASONING_PENDING;
+	content: string;
+};
+
+/**
+ * Parses agentic content into structured sections
+ *
+ * Main parsing function that processes content containing:
+ * - Tool calls (completed, pending, or streaming)
+ * - Reasoning blocks (completed or streaming)
+ * - Regular text content
+ *
+ * The parser handles chronological display of agentic flow output, maintaining
+ * the order of operations and properly identifying different states of tool calls
+ * and reasoning blocks during streaming.
+ *
+ * @param rawContent - The raw content string to parse
+ * @returns Array of structured agentic sections ready for display
+ *
+ * @example
+ * ```typescript
+ * const content = "Some text <<<AGENTIC_TOOL_CALL>>>tool_name...";
+ * const sections = parseAgenticContent(content);
+ * // Returns: [{ type: 'text', content: 'Some text' }, { type: 'tool_call_streaming', ... }]
+ * ```
+ */
+export function parseAgenticContent(rawContent: string): AgenticSection[] {
+	if (!rawContent) return [];
+
+	const segments = splitReasoningSegments(rawContent);
+	const sections: AgenticSection[] = [];
+
+	for (const segment of segments) {
+		if (segment.type === AgenticSectionType.TEXT) {
+			sections.push(...parseToolCallContent(segment.content));
+			continue;
+		}
+
+		if (segment.type === AgenticSectionType.REASONING) {
+			if (segment.content.trim()) {
+				sections.push({ type: AgenticSectionType.REASONING, content: segment.content });
+			}
+			continue;
+		}
+
+		sections.push({
+			type: AgenticSectionType.REASONING_PENDING,
+			content: segment.content
+		});
+	}
+
+	return sections;
+}
+
+/**
+ * Parses content containing tool call markers
+ *
+ * Identifies and extracts tool calls from content, handling:
+ * - Completed tool calls with name, arguments, and results
+ * - Pending tool calls (execution in progress)
+ * - Streaming tool calls (arguments being received)
+ * - Early-stage tool calls (just started)
+ *
+ * @param rawContent - The raw content string to parse
+ * @returns Array of agentic sections representing tool calls and text
+ */
+function parseToolCallContent(rawContent: string): AgenticSection[] {
+	if (!rawContent) return [];
+
+	const sections: AgenticSection[] = [];
+
+	const completedToolCallRegex = new RegExp(AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
+
+	let lastIndex = 0;
+	let match;
+
+	while ((match = completedToolCallRegex.exec(rawContent)) !== null) {
+		if (match.index > lastIndex) {
+			const textBefore = rawContent.slice(lastIndex, match.index).trim();
+			if (textBefore) {
+				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
+			}
+		}
+
+		const toolName = match[1];
+		const toolArgs = match[2];
+		const toolResult = match[3].replace(TRIM_NEWLINES_REGEX, '');
+
+		sections.push({
+			type: AgenticSectionType.TOOL_CALL,
+			content: toolResult,
+			toolName,
+			toolArgs,
+			toolResult
+		});
+
+		lastIndex = match.index + match[0].length;
+	}
+
+	const remainingContent = rawContent.slice(lastIndex);
+
+	const pendingMatch = remainingContent.match(AGENTIC_REGEX.PENDING_TOOL_CALL);
+	const partialWithNameMatch = remainingContent.match(AGENTIC_REGEX.PARTIAL_WITH_NAME);
+	const earlyMatch = remainingContent.match(AGENTIC_REGEX.EARLY_MATCH);
+
+	if (pendingMatch) {
+		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
+
+		if (pendingIndex > 0) {
+			const textBefore = remainingContent.slice(0, pendingIndex).trim();
+
+			if (textBefore) {
+				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
+			}
+		}
+
+		const toolName = pendingMatch[1];
+		const toolArgs = pendingMatch[2];
+		const streamingResult = (pendingMatch[3] || '').replace(TRIM_NEWLINES_REGEX, '');
+
+		sections.push({
+			type: AgenticSectionType.TOOL_CALL_PENDING,
+			content: streamingResult,
+			toolName,
+			toolArgs,
+			toolResult: streamingResult || undefined
+		});
+	} else if (partialWithNameMatch) {
+		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
+
+		if (pendingIndex > 0) {
+			const textBefore = remainingContent.slice(0, pendingIndex).trim();
+			if (textBefore) {
+				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
+			}
+		}
+
+		const partialArgs = partialWithNameMatch[2] || '';
+
+		sections.push({
+			type: AgenticSectionType.TOOL_CALL_STREAMING,
+			content: '',
+			toolName: partialWithNameMatch[1],
+			toolArgs: partialArgs || undefined,
+			toolResult: undefined
+		});
+	} else if (earlyMatch) {
+		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
+
+		if (pendingIndex > 0) {
+			const textBefore = remainingContent.slice(0, pendingIndex).trim();
+			if (textBefore) {
+				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
+			}
+		}
+
+		const nameMatch = earlyMatch[1]?.match(AGENTIC_REGEX.TOOL_NAME_EXTRACT);
+
+		sections.push({
+			type: AgenticSectionType.TOOL_CALL_STREAMING,
+			content: '',
+			toolName: nameMatch?.[1],
+			toolArgs: undefined,
+			toolResult: undefined
+		});
+	} else if (lastIndex < rawContent.length) {
+		let remainingText = rawContent.slice(lastIndex).trim();
+
+		const partialMarkerMatch = remainingText.match(AGENTIC_REGEX.PARTIAL_MARKER);
+
+		if (partialMarkerMatch) {
+			remainingText = remainingText.slice(0, partialMarkerMatch.index).trim();
+		}
+
+		if (remainingText) {
+			sections.push({ type: AgenticSectionType.TEXT, content: remainingText });
+		}
+	}
+
+	if (sections.length === 0 && rawContent.trim()) {
+		sections.push({ type: AgenticSectionType.TEXT, content: rawContent });
+	}
+
+	return sections;
+}
+
+/**
+ * Strips partial marker from text content
+ *
+ * Removes incomplete agentic markers (e.g., "<<<", "<<<AGENTIC") that may appear
+ * at the end of streaming content.
+ *
+ * @param text - The text content to process
+ * @returns Text with partial markers removed
+ */
+function stripPartialMarker(text: string): string {
+	const partialMarkerMatch = text.match(AGENTIC_REGEX.PARTIAL_MARKER);
+
+	if (partialMarkerMatch) {
+		return text.slice(0, partialMarkerMatch.index).trim();
+	}
+
+	return text;
+}
+
+/**
+ * Splits raw content into segments based on reasoning blocks
+ *
+ * Identifies and extracts reasoning content wrapped in REASONING_TAGS.START/END markers,
+ * separating it from regular text content. Handles both complete and incomplete
+ * (streaming) reasoning blocks.
+ *
+ * @param rawContent - The raw content string to parse
+ * @returns Array of reasoning segments with their types and content
+ */
+function splitReasoningSegments(rawContent: string): ReasoningSegment[] {
+	if (!rawContent) return [];
+
+	const segments: ReasoningSegment[] = [];
+	let cursor = 0;
+
+	while (cursor < rawContent.length) {
+		const startIndex = rawContent.indexOf(REASONING_TAGS.START, cursor);
+
+		if (startIndex === -1) {
+			const remainingText = rawContent.slice(cursor);
+
+			if (remainingText) {
+				segments.push({ type: AgenticSectionType.TEXT, content: remainingText });
+			}
+
+			break;
+		}
+
+		if (startIndex > cursor) {
+			const textBefore = rawContent.slice(cursor, startIndex);
+
+			if (textBefore) {
+				segments.push({ type: AgenticSectionType.TEXT, content: textBefore });
+			}
+		}
+
+		const contentStart = startIndex + REASONING_TAGS.START.length;
+		const endIndex = rawContent.indexOf(REASONING_TAGS.END, contentStart);
+
+		if (endIndex === -1) {
+			const pendingContent = rawContent.slice(contentStart);
+
+			segments.push({
+				type: AgenticSectionType.REASONING_PENDING,
+				content: stripPartialMarker(pendingContent)
+			});
+
+			break;
+		}
+
+		const reasoningContent = rawContent.slice(contentStart, endIndex);
+		segments.push({ type: AgenticSectionType.REASONING, content: reasoningContent });
+		cursor = endIndex + REASONING_TAGS.END.length;
+	}
+
+	return segments;
+}
diff --git a/tools/server/webui/src/lib/utils/api-fetch.ts b/tools/server/webui/src/lib/utils/api-fetch.ts
new file mode 100644
index 00000000000..80781b98e96
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/api-fetch.ts
@@ -0,0 +1,158 @@
+import { base } from '$app/paths';
+import { getJsonHeaders, getAuthHeaders } from './api-headers';
+import { UrlProtocol } from '$lib/enums';
+
+/**
+ * API Fetch Utilities
+ *
+ * Provides common fetch patterns used across services:
+ * - Automatic JSON headers
+ * - Error handling with proper error messages
+ * - Base path resolution
+ */
+
+export interface ApiFetchOptions extends Omit<RequestInit, 'headers'> {
+	/**
+	 * Use auth-only headers (no Content-Type).
+	 * Default: false (uses JSON headers with Content-Type: application/json)
+	 */
+	authOnly?: boolean;
+	/**
+	 * Additional headers to merge with default headers.
+	 */
+	headers?: Record<string, string>;
+}
+
+/**
+ * Fetch JSON data from an API endpoint with standard headers and error handling.
+ *
+ * @param path - API path (will be prefixed with base path)
+ * @param options - Fetch options with additional authOnly flag
+ * @returns Parsed JSON response
+ * @throws Error with formatted message on failure
+ *
+ * @example
+ * ```typescript
+ * // GET request
+ * const models = await apiFetch<ApiModelListResponse>('/v1/models');
+ *
+ * // POST request
+ * const result = await apiFetch<ApiResponse>('/models/load', {
+ *   method: 'POST',
+ *   body: JSON.stringify({ model: 'gpt-4' })
+ * });
+ * ```
+ */
+export async function apiFetch<T>(path: string, options: ApiFetchOptions = {}): Promise<T> {
+	const { authOnly = false, headers: customHeaders, ...fetchOptions } = options;
+
+	const baseHeaders = authOnly ? getAuthHeaders() : getJsonHeaders();
+	const headers = { ...baseHeaders, ...customHeaders };
+
+	const url =
+		path.startsWith(UrlProtocol.HTTP) || path.startsWith(UrlProtocol.HTTPS)
+			? path
+			: `${base}${path}`;
+
+	const response = await fetch(url, {
+		...fetchOptions,
+		headers
+	});
+
+	if (!response.ok) {
+		const errorMessage = await parseErrorMessage(response);
+		throw new Error(errorMessage);
+	}
+
+	return response.json() as Promise<T>;
+}
+
+/**
+ * Fetch with URL constructed from base URL and query parameters.
+ *
+ * @param basePath - Base API path
+ * @param params - Query parameters to append
+ * @param options - Fetch options
+ * @returns Parsed JSON response
+ *
+ * @example
+ * ```typescript
+ * const props = await apiFetchWithParams<ApiProps>('./props', {
+ *   model: 'gpt-4',
+ *   autoload: 'false'
+ * });
+ * ```
+ */
+export async function apiFetchWithParams<T>(
+	basePath: string,
+	params: Record<string, string>,
+	options: ApiFetchOptions = {}
+): Promise<T> {
+	const url = new URL(basePath, window.location.href);
+
+	for (const [key, value] of Object.entries(params)) {
+		if (value !== undefined && value !== null) {
+			url.searchParams.set(key, value);
+		}
+	}
+
+	const { authOnly = false, headers: customHeaders, ...fetchOptions } = options;
+
+	const baseHeaders = authOnly ? getAuthHeaders() : getJsonHeaders();
+	const headers = { ...baseHeaders, ...customHeaders };
+
+	const response = await fetch(url.toString(), {
+		...fetchOptions,
+		headers
+	});
+
+	if (!response.ok) {
+		const errorMessage = await parseErrorMessage(response);
+		throw new Error(errorMessage);
+	}
+
+	return response.json() as Promise<T>;
+}
+
+/**
+ * POST JSON data to an API endpoint.
+ *
+ * @param path - API path
+ * @param body - Request body (will be JSON stringified)
+ * @param options - Additional fetch options
+ * @returns Parsed JSON response
+ */
+export async function apiPost<T, B = unknown>(
+	path: string,
+	body: B,
+	options: ApiFetchOptions = {}
+): Promise<T> {
+	return apiFetch<T>(path, {
+		method: 'POST',
+		body: JSON.stringify(body),
+		...options
+	});
+}
+
+/**
+ * Parse error message from a failed response.
+ * Tries to extract error message from JSON body, falls back to status text.
+ */
+async function parseErrorMessage(response: Response): Promise<string> {
+	try {
+		const errorData = await response.json();
+		if (errorData?.error?.message) {
+			return errorData.error.message;
+		}
+		if (errorData?.error && typeof errorData.error === 'string') {
+			return errorData.error;
+		}
+		if (errorData?.message) {
+			return errorData.message;
+		}
+	} catch {
+		// JSON parsing failed, use status text
+	}
+
+	return `Request failed: ${response.status} ${response.statusText}`;
+}
diff --git a/tools/server/webui/src/lib/utils/attachment-display.ts b/tools/server/webui/src/lib/utils/attachment-display.ts
index 750aaa38d73..396ed6671df 100644
--- a/tools/server/webui/src/lib/utils/attachment-display.ts
+++ b/tools/server/webui/src/lib/utils/attachment-display.ts
@@ -1,9 +1,30 @@
-import { FileTypeCategory } from '$lib/enums';
+import { AttachmentType, FileTypeCategory, SpecialFileType } from '$lib/enums';
 import { getFileTypeCategory, getFileTypeCategoryByExtension, isImageFile } from '$lib/utils';
+import type {
+	AttachmentDisplayItemsOptions,
+	ChatUploadedFile,
+	DatabaseMessageExtra
+} from '$lib/types';
 
-export interface AttachmentDisplayItemsOptions {
-	uploadedFiles?: ChatUploadedFile[];
-	attachments?: DatabaseMessageExtra[];
+/**
+ * Check if an uploaded file is an MCP prompt
+ */
+function isMcpPromptUpload(file: ChatUploadedFile): boolean {
+	return file.type === SpecialFileType.MCP_PROMPT && !!file.mcpPrompt;
+}
+
+/**
+ * Check if an attachment is an MCP prompt
+ */
+function isMcpPromptAttachment(attachment: DatabaseMessageExtra): boolean {
+	return attachment.type === AttachmentType.MCP_PROMPT;
+}
+
+/**
+ * Check if an attachment is an MCP resource
+ */
+function isMcpResourceAttachment(attachment: DatabaseMessageExtra): boolean {
+	return attachment.type === AttachmentType.MCP_RESOURCE;
 }
 
 /**
@@ -37,6 +58,9 @@ export function getAttachmentDisplayItems(
 			size: file.size,
 			preview: file.preview,
 			isImage: getUploadedFileCategory(file) === FileTypeCategory.IMAGE,
+			isMcpPrompt: isMcpPromptUpload(file),
+			isLoading: file.isLoading,
+			loadError: file.loadError,
 			uploadedFile: file,
 			textContent: file.textContent
 		});
@@ -45,12 +69,16 @@ export function getAttachmentDisplayItems(
 	// Add stored attachments (ChatMessage)
 	for (const [index, attachment] of attachments.entries()) {
 		const isImage = isImageFile(attachment);
+		const isMcpPrompt = isMcpPromptAttachment(attachment);
+		const isMcpResource = isMcpResourceAttachment(attachment);
 
 		items.push({
 			id: `attachment-${index}`,
 			name: attachment.name,
 			preview: isImage && 'base64Url' in attachment ? attachment.base64Url : undefined,
 			isImage,
+			isMcpPrompt,
+			isMcpResource,
 			attachment,
 			attachmentIndex: index,
 			textContent: 'content' in attachment ? attachment.content : undefined
diff --git a/tools/server/webui/src/lib/utils/branching.ts b/tools/server/webui/src/lib/utils/branching.ts
index 3be56047a59..e60fb206f7d 100644
--- a/tools/server/webui/src/lib/utils/branching.ts
+++ b/tools/server/webui/src/lib/utils/branching.ts
@@ -15,6 +15,8 @@
  *        └── message 5 (assistant)
  */
 
+import { MessageRole } from '$lib/enums';
+
 /**
  * Filters messages to get the conversation path from root to a specific leaf node.
  * If the leafNodeId doesn't exist, returns the path with the latest timestamp.
@@ -65,8 +67,13 @@ export function filterByLeafNodeId(
 		currentNode = nodeMap.get(currentNode.parent);
 	}
 
-	// Sort by timestamp to get chronological order (root to leaf)
-	result.sort((a, b) => a.timestamp - b.timestamp);
+	// Sort: system messages first, then by timestamp
+	result.sort((a, b) => {
+		if (a.role === MessageRole.SYSTEM && b.role !== MessageRole.SYSTEM) return -1;
+		if (a.role !== MessageRole.SYSTEM && b.role === MessageRole.SYSTEM) return 1;
+
+		return a.timestamp - b.timestamp;
+	});
 	return result;
 }
 
diff --git a/tools/server/webui/src/lib/utils/browser-only.ts b/tools/server/webui/src/lib/utils/browser-only.ts
index 0af800638ba..27d2be4aaae 100644
--- a/tools/server/webui/src/lib/utils/browser-only.ts
+++ b/tools/server/webui/src/lib/utils/browser-only.ts
@@ -23,7 +23,7 @@ export {
 } from './pdf-processing';
 
 // File conversion utilities (depends on pdf-processing)
-export { parseFilesToMessageExtras, type FileProcessingResult } from './convert-files-to-extra';
+export { parseFilesToMessageExtras } from './convert-files-to-extra';
 
 // File upload processing utilities (depends on pdf-processing, svg-to-png, webp-to-png)
 export { processFilesToChatUploaded } from './process-uploaded-files';
diff --git a/tools/server/webui/src/lib/utils/cache-ttl.ts b/tools/server/webui/src/lib/utils/cache-ttl.ts
new file mode 100644
index 00000000000..4e414dd5457
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/cache-ttl.ts
@@ -0,0 +1,292 @@
+import { DEFAULT_CACHE_TTL_MS, DEFAULT_CACHE_MAX_ENTRIES } from '$lib/constants';
+
+/**
+ * TTL Cache - Time-To-Live cache implementation for memory optimization
+ *
+ * Provides automatic expiration of cached entries to prevent memory bloat
+ * in long-running sessions.
+ *
+ * @example
+ * ```ts
+ * const cache = new TTLCache<string, ApiData>({ ttlMs: 5 * 60 * 1000 }); // 5 minutes
+ * cache.set('key', data);
+ * const value = cache.get('key'); // null if expired
+ * ```
+ */
+
+export interface TTLCacheOptions {
+	/** Time-to-live in milliseconds. Default: 5 minutes */
+	ttlMs?: number;
+	/** Maximum number of entries. Oldest entries are evicted when exceeded. Default: 100 */
+	maxEntries?: number;
+	/** Callback when an entry expires or is evicted */
+	onEvict?: (key: string, value: unknown) => void;
+}
+
+interface CacheEntry<T> {
+	value: T;
+	expiresAt: number;
+	lastAccessed: number;
+}
+
+export class TTLCache<K extends string, V> {
+	private cache = new Map<K, CacheEntry<V>>();
+	private readonly ttlMs: number;
+	private readonly maxEntries: number;
+	private readonly onEvict?: (key: string, value: unknown) => void;
+
+	constructor(options: TTLCacheOptions = {}) {
+		this.ttlMs = options.ttlMs ?? DEFAULT_CACHE_TTL_MS;
+		this.maxEntries = options.maxEntries ?? DEFAULT_CACHE_MAX_ENTRIES;
+		this.onEvict = options.onEvict;
+	}
+
+	/**
+	 * Get a value from cache. Returns null if expired or not found.
+	 */
+	get(key: K): V | null {
+		const entry = this.cache.get(key);
+		if (!entry) return null;
+
+		if (Date.now() > entry.expiresAt) {
+			this.delete(key);
+			return null;
+		}
+
+		// Update last accessed time for LRU-like behavior
+		entry.lastAccessed = Date.now();
+		return entry.value;
+	}
+
+	/**
+	 * Set a value in cache with TTL.
+	 */
+	set(key: K, value: V, customTtlMs?: number): void {
+		// Evict oldest entries if at capacity
+		if (this.cache.size >= this.maxEntries && !this.cache.has(key)) {
+			this.evictOldest();
+		}
+
+		const ttl = customTtlMs ?? this.ttlMs;
+		const now = Date.now();
+
+		this.cache.set(key, {
+			value,
+			expiresAt: now + ttl,
+			lastAccessed: now
+		});
+	}
+
+	/**
+	 * Check if key exists and is not expired.
+	 */
+	has(key: K): boolean {
+		const entry = this.cache.get(key);
+		if (!entry) return false;
+
+		if (Date.now() > entry.expiresAt) {
+			this.delete(key);
+			return false;
+		}
+
+		return true;
+	}
+
+	/**
+	 * Delete a specific key from cache.
+	 */
+	delete(key: K): boolean {
+		const entry = this.cache.get(key);
+		if (entry && this.onEvict) {
+			this.onEvict(key, entry.value);
+		}
+		return this.cache.delete(key);
+	}
+
+	/**
+	 * Clear all entries from cache.
+	 */
+	clear(): void {
+		if (this.onEvict) {
+			for (const [key, entry] of this.cache) {
+				this.onEvict(key, entry.value);
+			}
+		}
+		this.cache.clear();
+	}
+
+	/**
+	 * Get the number of entries (including potentially expired ones).
+	 */
+	get size(): number {
+		return this.cache.size;
+	}
+
+	/**
+	 * Remove all expired entries from cache.
+	 * Call periodically for proactive cleanup.
+	 */
+	prune(): number {
+		const now = Date.now();
+		let pruned = 0;
+
+		for (const [key, entry] of this.cache) {
+			if (now > entry.expiresAt) {
+				this.delete(key);
+				pruned++;
+			}
+		}
+
+		return pruned;
+	}
+
+	/**
+	 * Get all valid (non-expired) keys.
+	 */
+	keys(): K[] {
+		const now = Date.now();
+		const validKeys: K[] = [];
+
+		for (const [key, entry] of this.cache) {
+			if (now <= entry.expiresAt) {
+				validKeys.push(key);
+			}
+		}
+
+		return validKeys;
+	}
+
+	/**
+	 * Evict the oldest (least recently accessed) entry.
+	 */
+	private evictOldest(): void {
+		let oldestKey: K | null = null;
+		let oldestTime = Infinity;
+
+		for (const [key, entry] of this.cache) {
+			if (entry.lastAccessed < oldestTime) {
+				oldestTime = entry.lastAccessed;
+				oldestKey = key;
+			}
+		}
+
+		if (oldestKey !== null) {
+			this.delete(oldestKey);
+		}
+	}
+
+	/**
+	 * Refresh TTL for an existing entry without changing the value.
+	 */
+	touch(key: K): boolean {
+		const entry = this.cache.get(key);
+		if (!entry) return false;
+
+		const now = Date.now();
+		if (now > entry.expiresAt) {
+			this.delete(key);
+			return false;
+		}
+
+		entry.expiresAt = now + this.ttlMs;
+		entry.lastAccessed = now;
+		return true;
+	}
+}
+
+/**
+ * Reactive TTL Map for Svelte stores
+ * Wraps SvelteMap with TTL functionality
+ */
+export class ReactiveTTLMap<K extends string, V> {
+	private entries = $state<Map<K, CacheEntry<V>>>(new Map());
+	private readonly ttlMs: number;
+	private readonly maxEntries: number;
+
+	constructor(options: TTLCacheOptions = {}) {
+		this.ttlMs = options.ttlMs ?? DEFAULT_CACHE_TTL_MS;
+		this.maxEntries = options.maxEntries ?? DEFAULT_CACHE_MAX_ENTRIES;
+	}
+
+	get(key: K): V | null {
+		const entry = this.entries.get(key);
+		if (!entry) return null;
+
+		if (Date.now() > entry.expiresAt) {
+			this.entries.delete(key);
+			return null;
+		}
+
+		entry.lastAccessed = Date.now();
+		return entry.value;
+	}
+
+	set(key: K, value: V, customTtlMs?: number): void {
+		if (this.entries.size >= this.maxEntries && !this.entries.has(key)) {
+			this.evictOldest();
+		}
+
+		const ttl = customTtlMs ?? this.ttlMs;
+		const now = Date.now();
+
+		this.entries.set(key, {
+			value,
+			expiresAt: now + ttl,
+			lastAccessed: now
+		});
+	}
+
+	has(key: K): boolean {
+		const entry = this.entries.get(key);
+		if (!entry) return false;
+
+		if (Date.now() > entry.expiresAt) {
+			this.entries.delete(key);
+			return false;
+		}
+
+		return true;
+	}
+
+	delete(key: K): boolean {
+		return this.entries.delete(key);
+	}
+
+	clear(): void {
+		this.entries.clear();
+	}
+
+	get size(): number {
+		return this.entries.size;
+	}
+
+	prune(): number {
+		const now = Date.now();
+		let pruned = 0;
+
+		for (const [key, entry] of this.entries) {
+			if (now > entry.expiresAt) {
+				this.entries.delete(key);
+				pruned++;
+			}
+		}
+
+		return pruned;
+	}
+
+	private evictOldest(): void {
+		let oldestKey: K | null = null;
+		let oldestTime = Infinity;
+
+		for (const [key, entry] of this.entries) {
+			if (entry.lastAccessed < oldestTime) {
+				oldestTime = entry.lastAccessed;
+				oldestKey = key;
+			}
+		}
+
+		if (oldestKey !== null) {
+			this.entries.delete(oldestKey);
+		}
+	}
+}
diff --git a/tools/server/webui/src/lib/utils/clipboard.ts b/tools/server/webui/src/lib/utils/clipboard.ts
index 940e64c8ff0..8fcb554b1a9 100644
--- a/tools/server/webui/src/lib/utils/clipboard.ts
+++ b/tools/server/webui/src/lib/utils/clipboard.ts
@@ -3,8 +3,14 @@ import { AttachmentType } from '$lib/enums';
 import type {
 	DatabaseMessageExtra,
 	DatabaseMessageExtraTextFile,
-	DatabaseMessageExtraLegacyContext
-} from '$lib/types/database';
+	DatabaseMessageExtraLegacyContext,
+	DatabaseMessageExtraMcpPrompt,
+	DatabaseMessageExtraMcpResource,
+	ClipboardTextAttachment,
+	ClipboardMcpPromptAttachment,
+	ClipboardAttachment,
+	ParsedClipboardContent
+} from '$lib/types';
 
 /**
  * Copy text to clipboard with toast notification
@@ -68,23 +74,6 @@ export async function copyCodeToClipboard(
 	return copyToClipboard(rawCode, successMessage, errorMessage);
 }
 
-/**
- * Format for text attachments when copied to clipboard
- */
-export interface ClipboardTextAttachment {
-	type: typeof AttachmentType.TEXT;
-	name: string;
-	content: string;
-}
-
-/**
- * Parsed result from clipboard content
- */
-export interface ParsedClipboardContent {
-	message: string;
-	textAttachments: ClipboardTextAttachment[];
-}
-
 /**
  * Formats a message with text attachments for clipboard copying.
  *
@@ -116,11 +105,20 @@ export function formatMessageForClipboard(
 	extras?: DatabaseMessageExtra[],
 	asPlainText: boolean = false
 ): string {
-	// Filter only text attachments (TEXT type and legacy CONTEXT type)
+	// Filter text-like attachments (TEXT, LEGACY_CONTEXT, MCP_PROMPT, and MCP_RESOURCE types)
 	const textAttachments =
 		extras?.filter(
-			(extra): extra is DatabaseMessageExtraTextFile | DatabaseMessageExtraLegacyContext =>
-				extra.type === AttachmentType.TEXT || extra.type === AttachmentType.LEGACY_CONTEXT
+			(
+				extra
+			): extra is
+				| DatabaseMessageExtraTextFile
+				| DatabaseMessageExtraLegacyContext
+				| DatabaseMessageExtraMcpPrompt
+				| DatabaseMessageExtraMcpResource =>
+				extra.type === AttachmentType.TEXT ||
+				extra.type === AttachmentType.LEGACY_CONTEXT ||
+				extra.type === AttachmentType.MCP_PROMPT ||
+				extra.type === AttachmentType.MCP_RESOURCE
 		) ?? [];
 
 	if (textAttachments.length === 0) {
@@ -135,11 +133,24 @@ export function formatMessageForClipboard(
 		return parts.join('\n\n');
 	}
 
-	const clipboardAttachments: ClipboardTextAttachment[] = textAttachments.map((att) => ({
-		type: AttachmentType.TEXT,
-		name: att.name,
-		content: att.content
-	}));
+	const clipboardAttachments: ClipboardAttachment[] = textAttachments.map((att) => {
+		if (att.type === AttachmentType.MCP_PROMPT) {
+			const mcpAtt = att as DatabaseMessageExtraMcpPrompt;
+			return {
+				type: AttachmentType.MCP_PROMPT,
+				name: mcpAtt.name,
+				serverName: mcpAtt.serverName,
+				promptName: mcpAtt.promptName,
+				content: mcpAtt.content,
+				arguments: mcpAtt.arguments
+			} as ClipboardMcpPromptAttachment;
+		}
+		return {
+			type: AttachmentType.TEXT,
+			name: att.name,
+			content: att.content
+		} as ClipboardTextAttachment;
+	});
 
 	return `${JSON.stringify(content)}\n${JSON.stringify(clipboardAttachments, null, 2)}`;
 }
@@ -154,7 +165,8 @@ export function formatMessageForClipboard(
 export function parseClipboardContent(clipboardText: string): ParsedClipboardContent {
 	const defaultResult: ParsedClipboardContent = {
 		message: clipboardText,
-		textAttachments: []
+		textAttachments: [],
+		mcpPromptAttachments: []
 	};
 
 	if (!clipboardText.startsWith('"')) {
@@ -196,17 +208,28 @@ export function parseClipboardContent(clipboardText: string): ParsedClipboardCon
 		if (!remainingPart || !remainingPart.startsWith('[')) {
 			return {
 				message,
-				textAttachments: []
+				textAttachments: [],
+				mcpPromptAttachments: []
 			};
 		}
 
 		const attachments = JSON.parse(remainingPart) as unknown[];
 
-		const validAttachments: ClipboardTextAttachment[] = [];
+		const validTextAttachments: ClipboardTextAttachment[] = [];
+		const validMcpPromptAttachments: ClipboardMcpPromptAttachment[] = [];
 
 		for (const att of attachments) {
-			if (isValidTextAttachment(att)) {
-				validAttachments.push({
+			if (isValidMcpPromptAttachment(att)) {
+				validMcpPromptAttachments.push({
+					type: AttachmentType.MCP_PROMPT,
+					name: att.name,
+					serverName: att.serverName,
+					promptName: att.promptName,
+					content: att.content,
+					arguments: att.arguments
+				});
+			} else if (isValidTextAttachment(att)) {
+				validTextAttachments.push({
 					type: AttachmentType.TEXT,
 					name: att.name,
 					content: att.content
@@ -216,13 +239,42 @@ export function parseClipboardContent(clipboardText: string): ParsedClipboardCon
 
 		return {
 			message,
-			textAttachments: validAttachments
+			textAttachments: validTextAttachments,
+			mcpPromptAttachments: validMcpPromptAttachments
 		};
 	} catch {
 		return defaultResult;
 	}
 }
 
+/**
+ * Type guard to validate an MCP prompt attachment object
+ * @param obj The object to validate
+ * @returns true if the object is a valid MCP prompt attachment
+ */
+function isValidMcpPromptAttachment(obj: unknown): obj is {
+	type: string;
+	name: string;
+	serverName: string;
+	promptName: string;
+	content: string;
+	arguments?: Record<string, string>;
+} {
+	if (typeof obj !== 'object' || obj === null) {
+		return false;
+	}
+
+	const record = obj as Record<string, unknown>;
+
+	return (
+		(record.type === AttachmentType.MCP_PROMPT || record.type === 'MCP_PROMPT') &&
+		typeof record.name === 'string' &&
+		typeof record.serverName === 'string' &&
+		typeof record.promptName === 'string' &&
+		typeof record.content === 'string'
+	);
+}
+
 /**
  * Type guard to validate a text attachment object
  * @param obj The object to validate
@@ -255,5 +307,5 @@ export function hasClipboardAttachments(clipboardText: string): boolean {
 	}
 
 	const parsed = parseClipboardContent(clipboardText);
-	return parsed.textAttachments.length > 0;
+	return parsed.textAttachments.length > 0 || parsed.mcpPromptAttachments.length > 0;
 }
diff --git a/tools/server/webui/src/lib/utils/code.ts b/tools/server/webui/src/lib/utils/code.ts
new file mode 100644
index 00000000000..d83bc31af3f
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/code.ts
@@ -0,0 +1,85 @@
+import hljs from 'highlight.js';
+import {
+	NEWLINE,
+	DEFAULT_LANGUAGE,
+	LANG_PATTERN,
+	AMPERSAND_REGEX,
+	LT_REGEX,
+	GT_REGEX,
+	FENCE_PATTERN
+} from '$lib/constants';
+
+export interface IncompleteCodeBlock {
+	language: string;
+	code: string;
+	openingIndex: number;
+}
+
+/**
+ * Highlights code using highlight.js
+ * @param code - The code to highlight
+ * @param language - The programming language
+ * @returns HTML string with syntax highlighting
+ */
+export function highlightCode(code: string, language: string): string {
+	if (!code) return '';
+
+	try {
+		const lang = language.toLowerCase();
+		const isSupported = hljs.getLanguage(lang);
+
+		if (isSupported) {
+			return hljs.highlight(code, { language: lang }).value;
+		} else {
+			return hljs.highlightAuto(code).value;
+		}
+	} catch {
+		// Fallback to escaped plain text
+		return code
+			.replace(AMPERSAND_REGEX, '&amp;')
+			.replace(LT_REGEX, '&lt;')
+			.replace(GT_REGEX, '&gt;');
+	}
+}
+
+/**
+ * Detects if markdown ends with an incomplete code block (opened but not closed).
+ * Returns the code block info if found, null otherwise.
+ * @param markdown - The raw markdown string to check
+ * @returns IncompleteCodeBlock info or null
+ */
+export function detectIncompleteCodeBlock(markdown: string): IncompleteCodeBlock | null {
+	// Count all code fences in the markdown
+	// A code block is incomplete if there's an odd number of ``` fences
+	const fencePattern = new RegExp(FENCE_PATTERN.source, FENCE_PATTERN.flags);
+	const fences: number[] = [];
+	let fenceMatch;
+
+	while ((fenceMatch = fencePattern.exec(markdown)) !== null) {
+		// Store the position after the ```
+		const pos = fenceMatch[0].startsWith(NEWLINE) ? fenceMatch.index + 1 : fenceMatch.index;
+		fences.push(pos);
+	}
+
+	// If even number of fences (including 0), all code blocks are closed
+	if (fences.length % 2 === 0) {
+		return null;
+	}
+
+	// Odd number means last code block is incomplete
+	// The last fence is the opening of the incomplete block
+	const openingIndex = fences[fences.length - 1];
+	const afterOpening = markdown.slice(openingIndex + 3);
+
+	// Extract language and code content
+	const langMatch = afterOpening.match(LANG_PATTERN);
+	const language = langMatch?.[1] || DEFAULT_LANGUAGE;
+	const codeStartIndex = openingIndex + 3 + (langMatch?.[0]?.length ?? 0);
+	const code = markdown.slice(codeStartIndex);
+
+	return {
+		language,
+		code,
+		openingIndex
+	};
+}
diff --git a/tools/server/webui/src/lib/utils/convert-files-to-extra.ts b/tools/server/webui/src/lib/utils/convert-files-to-extra.ts
index 6eb50f6dce4..84992106bd4 100644
--- a/tools/server/webui/src/lib/utils/convert-files-to-extra.ts
+++ b/tools/server/webui/src/lib/utils/convert-files-to-extra.ts
@@ -1,12 +1,13 @@
 import { convertPDFToImage, convertPDFToText } from './pdf-processing';
 import { isSvgMimeType, svgBase64UrlToPngDataURL } from './svg-to-png';
 import { isWebpMimeType, webpBase64UrlToPngDataURL } from './webp-to-png';
-import { FileTypeCategory, AttachmentType } from '$lib/enums';
+import { FileTypeCategory, AttachmentType, SpecialFileType } from '$lib/enums';
 import { config, settingsStore } from '$lib/stores/settings.svelte';
 import { modelsStore } from '$lib/stores/models.svelte';
 import { getFileTypeCategory } from '$lib/utils';
 import { readFileAsText, isLikelyTextFile } from './text-files';
 import { toast } from 'svelte-sonner';
+import type { FileProcessingResult, ChatUploadedFile, DatabaseMessageExtra } from '$lib/types';
 
 function readFileAsBase64(file: File): Promise<string> {
 	return new Promise((resolve, reject) => {
@@ -25,11 +26,6 @@ function readFileAsBase64(file: File): Promise<string> {
 	});
 }
 
-export interface FileProcessingResult {
-	extras: DatabaseMessageExtra[];
-	emptyFiles: string[];
-}
-
 export async function parseFilesToMessageExtras(
 	files: ChatUploadedFile[],
 	activeModelId?: string
@@ -38,6 +34,19 @@ export async function parseFilesToMessageExtras(
 	const emptyFiles: string[] = [];
 
 	for (const file of files) {
+		if (file.type === SpecialFileType.MCP_PROMPT && file.mcpPrompt) {
+			extras.push({
+				type: AttachmentType.MCP_PROMPT,
+				name: file.name,
+				serverName: file.mcpPrompt.serverName,
+				promptName: file.mcpPrompt.promptName,
+				content: file.textContent ?? '',
+				arguments: file.mcpPrompt.arguments
+			});
+
+			continue;
+		}
+
 		if (getFileTypeCategory(file.type) === FileTypeCategory.IMAGE) {
 			if (file.preview) {
 				let base64Url = file.preview;
diff --git a/tools/server/webui/src/lib/utils/cors-proxy.ts b/tools/server/webui/src/lib/utils/cors-proxy.ts
new file mode 100644
index 00000000000..39c368ba0be
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/cors-proxy.ts
@@ -0,0 +1,29 @@
+/**
+ * CORS Proxy utility for routing requests through llama-server's CORS proxy.
+ */
+
+import { base } from '$app/paths';
+import { CORS_PROXY_ENDPOINT, CORS_PROXY_URL_PARAM } from '$lib/constants';
+
+/**
+ * Build a proxied URL that routes through llama-server's CORS proxy.
+ * @param targetUrl - The original URL to proxy
+ * @returns URL pointing to the CORS proxy with target encoded
+ */
+export function buildProxiedUrl(targetUrl: string): URL {
+	const proxyPath = `${base}${CORS_PROXY_ENDPOINT}`;
+	const proxyUrl = new URL(proxyPath, window.location.origin);
+
+	proxyUrl.searchParams.set(CORS_PROXY_URL_PARAM, targetUrl);
+
+	return proxyUrl;
+}
+
+/**
+ * Get a proxied URL string for use in fetch requests.
+ * @param targetUrl - The original URL to proxy
+ * @returns Proxied URL as string
+ */
+export function getProxiedUrlString(targetUrl: string): string {
+	return buildProxiedUrl(targetUrl).href;
+}
diff --git a/tools/server/webui/src/lib/utils/data-url.ts b/tools/server/webui/src/lib/utils/data-url.ts
new file mode 100644
index 00000000000..6f55be793da
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/data-url.ts
@@ -0,0 +1,10 @@
+/**
+ * Creates a base64 data URL from MIME type and base64-encoded data.
+ *
+ * @param mimeType - The MIME type (e.g., 'image/png', 'audio/mp3')
+ * @param base64Data - The base64-encoded data
+ * @returns A data URL string in format 'data:{mimeType};base64,{data}'
+ */
+export function createBase64DataUrl(mimeType: string, base64Data: string): string {
+	return `data:${mimeType};base64,${base64Data}`;
+}
diff --git a/tools/server/webui/src/lib/utils/debounce.ts b/tools/server/webui/src/lib/utils/debounce.ts
new file mode 100644
index 00000000000..90a5a01783a
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/debounce.ts
@@ -0,0 +1,22 @@
+/**
+ * @param fn - The function to debounce
+ * @param delay - The delay in milliseconds
+ * @returns A debounced version of the function
+ */
+export function debounce<T extends (...args: Parameters<T>) => void>(
+	fn: T,
+	delay: number
+): (...args: Parameters<T>) => void {
+	let timeoutId: ReturnType<typeof setTimeout> | null = null;
+
+	return (...args: Parameters<T>) => {
+		if (timeoutId) {
+			clearTimeout(timeoutId);
+		}
+
+		timeoutId = setTimeout(() => {
+			fn(...args);
+			timeoutId = null;
+		}, delay);
+	};
+}
diff --git a/tools/server/webui/src/lib/utils/favicon.ts b/tools/server/webui/src/lib/utils/favicon.ts
new file mode 100644
index 00000000000..4c752991783
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/favicon.ts
@@ -0,0 +1,34 @@
+/**
+ * Favicon utility functions for extracting favicons from URLs.
+ */
+
+import { getProxiedUrlString } from './cors-proxy';
+import {
+	GOOGLE_FAVICON_BASE_URL,
+	DEFAULT_FAVICON_SIZE,
+	DOMAIN_SEPARATOR,
+	ROOT_DOMAIN_MIN_PARTS
+} from '$lib/constants';
+
+/**
+ * Gets a favicon URL for a given URL using Google's favicon service.
+ * Returns null if the URL is invalid.
+ *
+ * @param urlString - The URL to get the favicon for
+ * @returns The favicon URL or null if invalid
+ */
+export function getFaviconUrl(urlString: string): string | null {
+	try {
+		const url = new URL(urlString);
+		const hostnameParts = url.hostname.split(DOMAIN_SEPARATOR);
+		const rootDomain =
+			hostnameParts.length >= ROOT_DOMAIN_MIN_PARTS
+				? hostnameParts.slice(-ROOT_DOMAIN_MIN_PARTS).join(DOMAIN_SEPARATOR)
+				: url.hostname;
+
+		const googleFaviconUrl = `${GOOGLE_FAVICON_BASE_URL}?domain=${rootDomain}&sz=${DEFAULT_FAVICON_SIZE}`;
+		return getProxiedUrlString(googleFaviconUrl);
+	} catch {
+		return null;
+	}
+}
diff --git a/tools/server/webui/src/lib/utils/file-type.ts b/tools/server/webui/src/lib/utils/file-type.ts
index 9a9996d171c..4c670600ce5 100644
--- a/tools/server/webui/src/lib/utils/file-type.ts
+++ b/tools/server/webui/src/lib/utils/file-type.ts
@@ -3,7 +3,7 @@ import {
 	IMAGE_FILE_TYPES,
 	PDF_FILE_TYPES,
 	TEXT_FILE_TYPES
-} from '$lib/constants/supported-file-types';
+} from '$lib/constants';
 import {
 	FileExtensionAudio,
 	FileExtensionImage,
diff --git a/tools/server/webui/src/lib/utils/formatters.ts b/tools/server/webui/src/lib/utils/formatters.ts
index ae9f59a39c3..24a2c1c94c1 100644
--- a/tools/server/webui/src/lib/utils/formatters.ts
+++ b/tools/server/webui/src/lib/utils/formatters.ts
@@ -1,3 +1,11 @@
+import {
+	MS_PER_SECOND,
+	SECONDS_PER_MINUTE,
+	SECONDS_PER_HOUR,
+	SHORT_DURATION_THRESHOLD,
+	MEDIUM_DURATION_THRESHOLD
+} from '$lib/constants';
+
 /**
  * Formats file size in bytes to human readable format
  * Supports Bytes, KB, MB, and GB
@@ -51,3 +59,95 @@ export function formatNumber(num: number | unknown): string {
 
 	return num.toLocaleString();
 }
+
+/**
+ * Format JSON string with pretty printing (2-space indentation)
+ * Returns original string if parsing fails
+ *
+ * @param jsonString - JSON string to format
+ * @returns Pretty-printed JSON string or original if invalid
+ */
+export function formatJsonPretty(jsonString: string): string {
+	try {
+		const parsed = JSON.parse(jsonString);
+		return JSON.stringify(parsed, null, 2);
+	} catch {
+		return jsonString;
+	}
+}
+
+/**
+ * Format time as HH:MM:SS in 24-hour format
+ *
+ * @param date - Date object to format
+ * @returns Formatted time string (HH:MM:SS)
+ */
+export function formatTime(date: Date): string {
+	return date.toLocaleTimeString('en-US', {
+		hour12: false,
+		hour: '2-digit',
+		minute: '2-digit',
+		second: '2-digit'
+	});
+}
+
+/**
+ * Formats milliseconds to a human-readable time string for performance metrics.
+ * Examples: "4h 12min 54s", "12min 34s", "45s", "0.5s"
+ *
+ * @param ms - Time in milliseconds
+ * @returns Formatted time string
+ */
+export function formatPerformanceTime(ms: number): string {
+	if (ms < 0) return '0s';
+
+	const totalSeconds = ms / MS_PER_SECOND;
+
+	if (totalSeconds < SHORT_DURATION_THRESHOLD) {
+		return `${totalSeconds.toFixed(1)}s`;
+	}
+
+	if (totalSeconds < MEDIUM_DURATION_THRESHOLD) {
+		return `${totalSeconds.toFixed(1)}s`;
+	}
+
+	const hours = Math.floor(totalSeconds / SECONDS_PER_HOUR);
+	const minutes = Math.floor((totalSeconds % SECONDS_PER_HOUR) / SECONDS_PER_MINUTE);
+	const seconds = Math.floor(totalSeconds % SECONDS_PER_MINUTE);
+
+	const parts: string[] = [];
+
+	if (hours > 0) {
+		parts.push(`${hours}h`);
+	}
+
+	if (minutes > 0) {
+		parts.push(`${minutes}min`);
+	}
+
+	if (seconds > 0 || parts.length === 0) {
+		parts.push(`${seconds}s`);
+	}
+
+	return parts.join(' ');
+}
+
+/**
+ * Formats attachment content for API requests with consistent header style.
+ * Used when converting message attachments to text content parts.
+ *
+ * @param label - Type label (e.g., 'File', 'PDF File', 'MCP Prompt')
+ * @param name - File or attachment name
+ * @param content - The actual content to include
+ * @param extra - Optional extra info to append to name (e.g., server name for MCP)
+ * @returns Formatted string with header and content
+ */
+export function formatAttachmentText(
+	label: string,
+	name: string,
+	content: string,
+	extra?: string
+): string {
+	const header = extra ? `${name} (${extra})` : name;
+	return `\n\n--- ${label}: ${header} ---\n${content}`;
+}
diff --git a/tools/server/webui/src/lib/utils/headers.ts b/tools/server/webui/src/lib/utils/headers.ts
new file mode 100644
index 00000000000..0b907b83003
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/headers.ts
@@ -0,0 +1,44 @@
+/**
+ * Header utilities for parsing and serializing HTTP headers.
+ * Generic utilities not specific to MCP.
+ */
+
+/**
+ * Parses a JSON string of headers into an array of key-value pairs.
+ * Returns empty array if the JSON is invalid or empty.
+ */
+export function parseHeadersToArray(headersJson: string): { key: string; value: string }[] {
+	if (!headersJson?.trim()) return [];
+
+	try {
+		const parsed = JSON.parse(headersJson);
+		if (typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed)) {
+			return Object.entries(parsed).map(([key, value]) => ({
+				key,
+				value: String(value)
+			}));
+		}
+	} catch {
+		return [];
+	}
+
+	return [];
+}
+
+/**
+ * Serializes an array of header key-value pairs to a JSON string.
+ * Filters out pairs with empty keys and returns empty string if no valid pairs.
+ */
+export function serializeHeaders(pairs: { key: string; value: string }[]): string {
+	const validPairs = pairs.filter((p) => p.key.trim());
+
+	if (validPairs.length === 0) return '';
+
+	const obj: Record<string, string> = {};
+
+	for (const pair of validPairs) {
+		obj[pair.key.trim()] = pair.value;
+	}
+
+	return JSON.stringify(obj);
+}
diff --git a/tools/server/webui/src/lib/utils/image-error-fallback.ts b/tools/server/webui/src/lib/utils/image-error-fallback.ts
new file mode 100644
index 00000000000..6e3260f4ae2
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/image-error-fallback.ts
@@ -0,0 +1,10 @@
+/**
+ * Simplified HTML fallback for external images that fail to load.
+ * Displays a centered message with a link to open the image in a new tab.
+ */
+export function getImageErrorFallbackHtml(src: string): string {
+	return `<div class="image-error-content">
+		<span>Image cannot be displayed</span>
+		<a href="${src}" target="_blank" rel="noopener noreferrer">(open link)</a>
+	</div>`;
+}
diff --git a/tools/server/webui/src/lib/utils/index.ts b/tools/server/webui/src/lib/utils/index.ts
index 588167b8ca4..2caaf9ac3b3 100644
--- a/tools/server/webui/src/lib/utils/index.ts
+++ b/tools/server/webui/src/lib/utils/index.ts
@@ -9,13 +9,11 @@
 
 // API utilities
 export { getAuthHeaders, getJsonHeaders } from './api-headers';
+export { apiFetch, apiFetchWithParams, apiPost, type ApiFetchOptions } from './api-fetch';
 export { validateApiKey } from './api-key-validation';
 
 // Attachment utilities
-export {
-	getAttachmentDisplayItems,
-	type AttachmentDisplayItemsOptions
-} from './attachment-display';
+export { getAttachmentDisplayItems } from './attachment-display';
 export { isTextFile, isImageFile, isPdfFile, isAudioFile } from './attachment-type';
 
 // Textarea utilities
@@ -33,9 +31,15 @@ export {
 	getPreviousSibling
 } from './branching';
 
+// Code
+export { highlightCode, detectIncompleteCodeBlock, type IncompleteCodeBlock } from './code';
+
 // Config helpers
 export { setConfigValue, getConfigValue, configToParameterRecord } from './config-helpers';
 
+// CORS Proxy
+export { buildProxiedUrl, getProxiedUrlString } from './cors-proxy';
+
 // Conversation utilities
 export { createMessageCountMap, getMessageCount } from './conversation-utils';
 
@@ -45,9 +49,7 @@ export {
 	copyCodeToClipboard,
 	formatMessageForClipboard,
 	parseClipboardContent,
-	hasClipboardAttachments,
-	type ClipboardTextAttachment,
-	type ParsedClipboardContent
+	hasClipboardAttachments
 } from './clipboard';
 
 // File preview utilities
@@ -63,7 +65,15 @@ export {
 } from './file-type';
 
 // Formatting utilities
-export { formatFileSize, formatParameters, formatNumber } from './formatters';
+export {
+	formatFileSize,
+	formatParameters,
+	formatNumber,
+	formatJsonPretty,
+	formatTime,
+	formatPerformanceTime,
+	formatAttachmentText
+} from './formatters';
 
 // IME utilities
 export { isIMEComposing } from './is-ime-composing';
@@ -75,8 +85,7 @@ export { maskInlineLaTeX, preprocessLaTeX } from './latex-protection';
 export {
 	isFileTypeSupportedByModel,
 	filterFilesByModalities,
-	generateModalityErrorMessage,
-	type ModalityCapabilities
+	generateModalityErrorMessage
 } from './modality-file-validation';
 
 // Model name utilities
@@ -93,3 +102,67 @@ export { getLanguageFromFilename } from './syntax-highlight-language';
 
 // Text file utilities
 export { isTextFileByName, readFileAsText, isLikelyTextFile } from './text-files';
+
+// Debounce utilities
+export { debounce } from './debounce';
+
+// Sanitization utilities
+export { sanitizeKeyValuePairKey, sanitizeKeyValuePairValue } from './sanitize';
+
+// Image error fallback utilities
+export { getImageErrorFallbackHtml } from './image-error-fallback';
+
+// MCP utilities
+export {
+	detectMcpTransportFromUrl,
+	parseMcpServerSettings,
+	getMcpLogLevelIcon,
+	getMcpLogLevelClass,
+	isImageMimeType,
+	parseResourcePath,
+	getDisplayName,
+	getResourceDisplayName,
+	isCodeResource,
+	isImageResource,
+	getResourceIcon,
+	getResourceTextContent,
+	getResourceBlobContent,
+	downloadResourceContent
+} from './mcp';
+
+// URI Template utilities
+export {
+	extractTemplateVariables,
+	expandTemplate,
+	isTemplateComplete,
+	normalizeResourceUri,
+	type UriTemplateVariable
+} from './uri-template';
+
+// Data URL utilities
+export { createBase64DataUrl } from './data-url';
+
+// Header utilities
+export { parseHeadersToArray, serializeHeaders } from './headers';
+
+// Favicon utilities
+export { getFaviconUrl } from './favicon';
+
+// Agentic content parsing utilities
+export { parseAgenticContent, type AgenticSection } from './agentic';
+
+// Cache utilities
+export { TTLCache, ReactiveTTLMap, type TTLCacheOptions } from './cache-ttl';
+
+// Abort signal utilities
+export {
+	throwIfAborted,
+	isAbortError,
+	createLinkedController,
+	createTimeoutSignal,
+	withAbortSignal
+} from './abort';
+
+// Cryptography utilities
+
+export { uuid } from './uuid';
diff --git a/tools/server/webui/src/lib/utils/latex-protection.ts b/tools/server/webui/src/lib/utils/latex-protection.ts
index cafa2d4761f..839306978f3 100644
--- a/tools/server/webui/src/lib/utils/latex-protection.ts
+++ b/tools/server/webui/src/lib/utils/latex-protection.ts
@@ -3,7 +3,7 @@ import {
 	LATEX_MATH_AND_CODE_PATTERN,
 	LATEX_LINEBREAK_REGEXP,
 	MHCHEM_PATTERN_MAP
-} from '$lib/constants/latex-protection';
+} from '$lib/constants';
 
 /**
  * Replaces inline LaTeX expressions enclosed in `$...$` with placeholders, avoiding dollar signs
diff --git a/tools/server/webui/src/lib/utils/mcp.ts b/tools/server/webui/src/lib/utils/mcp.ts
new file mode 100644
index 00000000000..ee27798455d
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/mcp.ts
@@ -0,0 +1,304 @@
+import type { MCPServerSettingsEntry, MCPResourceContent, MCPResourceInfo } from '$lib/types';
+import {
+	MCPTransportType,
+	MCPLogLevel,
+	UrlProtocol,
+	MimeTypePrefix,
+	MimeTypeIncludes,
+	UriPattern,
+	MimeTypeText
+} from '$lib/enums';
+import {
+	DEFAULT_MCP_CONFIG,
+	MCP_SERVER_ID_PREFIX,
+	IMAGE_FILE_EXTENSION_REGEX,
+	CODE_FILE_EXTENSION_REGEX,
+	TEXT_FILE_EXTENSION_REGEX,
+	PROTOCOL_PREFIX_REGEX,
+	FILE_EXTENSION_REGEX,
+	DISPLAY_NAME_SEPARATOR_REGEX,
+	PATH_SEPARATOR,
+	RESOURCE_TEXT_CONTENT_SEPARATOR,
+	DEFAULT_RESOURCE_FILENAME
+} from '$lib/constants';
+import {
+	Database,
+	File,
+	FileText,
+	Image,
+	Code,
+	Info,
+	AlertTriangle,
+	XCircle
+} from '@lucide/svelte';
+import type { Component } from 'svelte';
+import type { MimeTypeUnion } from '$lib/types/common';
+
+/**
+ * Detects the MCP transport type from a URL.
+ * WebSocket URLs (ws:// or wss://) use 'websocket', others use 'streamable_http'.
+ */
+export function detectMcpTransportFromUrl(url: string): MCPTransportType {
+	const normalized = url.trim().toLowerCase();
+
+	return normalized.startsWith(UrlProtocol.WEBSOCKET) ||
+		normalized.startsWith(UrlProtocol.WEBSOCKET_SECURE)
+		? MCPTransportType.WEBSOCKET
+		: MCPTransportType.STREAMABLE_HTTP;
+}
+
+/**
+ * Parses MCP server settings from a JSON string or array.
+ * requestTimeoutSeconds is not user-configurable in the UI, so we always use the default value.
+ * @param rawServers - The raw servers to parse
+ * @returns An empty array if the input is invalid.
+ */
+export function parseMcpServerSettings(rawServers: unknown): MCPServerSettingsEntry[] {
+	if (!rawServers) return [];
+
+	let parsed: unknown;
+
+	if (typeof rawServers === 'string') {
+		const trimmed = rawServers.trim();
+		if (!trimmed) return [];
+
+		try {
+			parsed = JSON.parse(trimmed);
+		} catch (error) {
+			console.warn('[MCP] Failed to parse mcpServers JSON, ignoring value:', error);
+
+			return [];
+		}
+	} else {
+		parsed = rawServers;
+	}
+
+	if (!Array.isArray(parsed)) return [];
+
+	return parsed.map((entry, index) => {
+		const url = typeof entry?.url === 'string' ? entry.url.trim() : '';
+		const headers = typeof entry?.headers === 'string' ? entry.headers.trim() : undefined;
+		const id =
+			typeof (entry as { id?: unknown })?.id === 'string' && (entry as { id?: string }).id?.trim()
+				? (entry as { id: string }).id.trim()
+				: `${MCP_SERVER_ID_PREFIX}-${index + 1}`;
+
+		return {
+			id,
+			enabled: Boolean((entry as { enabled?: unknown })?.enabled),
+			url,
+			name: (entry as { name?: string })?.name,
+			requestTimeoutSeconds: DEFAULT_MCP_CONFIG.requestTimeoutSeconds,
+			headers: headers || undefined,
+			useProxy: Boolean((entry as { useProxy?: unknown })?.useProxy)
+		} satisfies MCPServerSettingsEntry;
+	});
+}
+
+/**
+ * Get the appropriate icon component for a log level
+ *
+ * @param level - MCP log level
+ * @returns Lucide icon component
+ */
+export function getMcpLogLevelIcon(level: MCPLogLevel): Component {
+	switch (level) {
+		case MCPLogLevel.ERROR:
+			return XCircle;
+		case MCPLogLevel.WARN:
+			return AlertTriangle;
+		default:
+			return Info;
+	}
+}
+
+/**
+ * Get the appropriate CSS class for a log level
+ *
+ * @param level - MCP log level
+ * @returns Tailwind CSS class string
+ */
+export function getMcpLogLevelClass(level: MCPLogLevel): string {
+	switch (level) {
+		case MCPLogLevel.ERROR:
+			return 'text-destructive';
+		case MCPLogLevel.WARN:
+			return 'text-yellow-600 dark:text-yellow-500';
+		default:
+			return 'text-muted-foreground';
+	}
+}
+
+/**
+ * Check if a MIME type represents an image.
+ *
+ * @param mimeType - The MIME type to check
+ * @returns True if the MIME type starts with 'image/'
+ */
+export function isImageMimeType(mimeType?: MimeTypeUnion): boolean {
+	return mimeType?.startsWith(MimeTypePrefix.IMAGE) ?? false;
+}
+
+/**
+ * Parse a resource URI into path segments, stripping the protocol prefix.
+ *
+ * @param uri - The resource URI to parse
+ * @returns Array of non-empty path segments
+ */
+export function parseResourcePath(uri: string): string[] {
+	try {
+		const withoutProtocol = uri.replace(PROTOCOL_PREFIX_REGEX, '');
+		return withoutProtocol.split(PATH_SEPARATOR).filter((p) => p.length > 0);
+	} catch {
+		return [uri];
+	}
+}
+
+/**
+ * Convert a path part into a human-readable display name.
+ * Strips file extensions and converts kebab-case/snake_case to Title Case.
+ *
+ * @param pathPart - The path segment to convert
+ * @returns Human-readable display name
+ */
+export function getDisplayName(pathPart: string): string {
+	const withoutExt = pathPart.replace(FILE_EXTENSION_REGEX, '');
+	return withoutExt
+		.split(DISPLAY_NAME_SEPARATOR_REGEX)
+		.map((word) => word.charAt(0).toUpperCase() + word.slice(1))
+		.join(' ');
+}
+
+/**
+ * Get the display name from a resource, extracting the last path segment from the URI.
+ *
+ * @param resource - The MCP resource info
+ * @returns Display name string
+ */
+export function getResourceDisplayName(resource: MCPResourceInfo): string {
+	try {
+		const parts = parseResourcePath(resource.uri);
+		return parts[parts.length - 1] || resource.name || resource.uri;
+	} catch {
+		return resource.name || resource.uri;
+	}
+}
+
+/**
+ * Determine if a MIME type and/or URI represents code content.
+ *
+ * @param mimeType - Optional MIME type string
+ * @param uri - Optional URI string
+ * @returns True if the content is code
+ */
+export function isCodeResource(mimeType?: MimeTypeUnion, uri?: string): boolean {
+	const mime = mimeType?.toLowerCase() || '';
+	const u = uri?.toLowerCase() || '';
+	return (
+		mime.includes(MimeTypeIncludes.JSON) ||
+		mime.includes(MimeTypeIncludes.JAVASCRIPT) ||
+		mime.includes(MimeTypeIncludes.TYPESCRIPT) ||
+		CODE_FILE_EXTENSION_REGEX.test(u)
+	);
+}
+
+/**
+ * Determine if a MIME type and/or URI represents image content.
+ *
+ * @param mimeType - Optional MIME type string
+ * @param uri - Optional URI string
+ * @returns True if the content is an image
+ */
+export function isImageResource(mimeType?: MimeTypeUnion, uri?: string): boolean {
+	const mime = mimeType?.toLowerCase() || '';
+	const u = uri?.toLowerCase() || '';
+	return mime.startsWith(MimeTypePrefix.IMAGE) || IMAGE_FILE_EXTENSION_REGEX.test(u);
+}
+
+/**
+ * Get the appropriate Lucide icon component for an MCP resource based on its MIME type and URI.
+ *
+ * @param mimeType - Optional MIME type of the resource
+ * @param uri - Optional URI of the resource
+ * @returns Lucide icon component
+ */
+export function getResourceIcon(mimeType?: MimeTypeUnion, uri?: string): Component {
+	const mime = mimeType?.toLowerCase() || '';
+	const u = uri?.toLowerCase() || '';
+
+	if (mime.startsWith(MimeTypePrefix.IMAGE) || IMAGE_FILE_EXTENSION_REGEX.test(u)) {
+		return Image;
+	}
+
+	if (
+		mime.includes(MimeTypeIncludes.JSON) ||
+		mime.includes(MimeTypeIncludes.JAVASCRIPT) ||
+		mime.includes(MimeTypeIncludes.TYPESCRIPT) ||
+		CODE_FILE_EXTENSION_REGEX.test(u)
+	) {
+		return Code;
+	}
+
+	if (mime.includes(MimeTypePrefix.TEXT) || TEXT_FILE_EXTENSION_REGEX.test(u)) {
+		return FileText;
+	}
+
+	if (u.includes(UriPattern.DATABASE_KEYWORD) || u.includes(UriPattern.DATABASE_SCHEME)) {
+		return Database;
+	}
+
+	return File;
+}
+
+/**
+ * Extract text content from MCP resource content array.
+ *
+ * @param content - Array of MCP resource content items
+ * @returns Joined text content string
+ */
+export function getResourceTextContent(content: MCPResourceContent[] | null | undefined): string {
+	if (!content) return '';
+	return content
+		.filter((c): c is { uri: string; mimeType?: MimeTypeUnion; text: string } => 'text' in c)
+		.map((c) => c.text)
+		.join(RESOURCE_TEXT_CONTENT_SEPARATOR);
+}
+
+/**
+ * Extract blob content from MCP resource content array.
+ *
+ * @param content - Array of MCP resource content items
+ * @returns Array of blob content items
+ */
+export function getResourceBlobContent(
+	content: MCPResourceContent[] | null | undefined
+): Array<{ uri: string; mimeType?: MimeTypeUnion; blob: string }> {
+	if (!content) return [];
+
+	return content.filter(
+		(c): c is { uri: string; mimeType?: MimeTypeUnion; blob: string } => 'blob' in c
+	);
+}
+
+/**
+ * Trigger a file download from text content.
+ *
+ * @param text - The text content to download
+ * @param mimeType - MIME type for the blob
+ * @param filename - Suggested filename
+ */
+export function downloadResourceContent(
+	text: string,
+	mimeType: MimeTypeUnion = MimeTypeText.PLAIN,
+	filename: string = DEFAULT_RESOURCE_FILENAME
+): void {
+	const blob = new Blob([text], { type: mimeType });
+	const url = URL.createObjectURL(blob);
+	const a = document.createElement('a');
+	a.href = url;
+	a.download = filename;
+	document.body.appendChild(a);
+	a.click();
+	document.body.removeChild(a);
+	URL.revokeObjectURL(url);
+}
diff --git a/tools/server/webui/src/lib/utils/modality-file-validation.ts b/tools/server/webui/src/lib/utils/modality-file-validation.ts
index 136c0841467..9b52e93dbe1 100644
--- a/tools/server/webui/src/lib/utils/modality-file-validation.ts
+++ b/tools/server/webui/src/lib/utils/modality-file-validation.ts
@@ -5,12 +5,7 @@
 
 import { getFileTypeCategory } from '$lib/utils';
 import { FileTypeCategory } from '$lib/enums';
-
-/** Modality capabilities for file validation */
-export interface ModalityCapabilities {
-	hasVision: boolean;
-	hasAudio: boolean;
-}
+import type { ModalityCapabilities } from '$lib/types';
 
 /**
  * Check if a file type is supported by the given modalities
diff --git a/tools/server/webui/src/lib/utils/precision.ts b/tools/server/webui/src/lib/utils/precision.ts
index 6da200cf0b7..500281dc9a2 100644
--- a/tools/server/webui/src/lib/utils/precision.ts
+++ b/tools/server/webui/src/lib/utils/precision.ts
@@ -5,7 +5,7 @@
  * and display, addressing JavaScript's floating-point precision issues.
  */
 
-import { PRECISION_MULTIPLIER } from '$lib/constants/precision';
+import { PRECISION_MULTIPLIER } from '$lib/constants';
 
 /**
  * Normalize floating-point numbers for consistent comparison
diff --git a/tools/server/webui/src/lib/utils/sanitize.ts b/tools/server/webui/src/lib/utils/sanitize.ts
new file mode 100644
index 00000000000..6078ecdf73f
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/sanitize.ts
@@ -0,0 +1,23 @@
+import {
+	KEY_VALUE_PAIR_KEY_MAX_LENGTH,
+	KEY_VALUE_PAIR_VALUE_MAX_LENGTH,
+	KEY_VALUE_PAIR_UNSAFE_KEY_RE,
+	KEY_VALUE_PAIR_UNSAFE_VALUE_RE
+} from '$lib/constants';
+
+/**
+ * Strip control characters unsafe in identifier/header-name contexts and cap length.
+ * Removes all C0 controls (including TAB) and DEL.
+ */
+export function sanitizeKeyValuePairKey(raw: string): string {
+	return raw.replace(KEY_VALUE_PAIR_UNSAFE_KEY_RE, '').slice(0, KEY_VALUE_PAIR_KEY_MAX_LENGTH);
+}
+
+/**
+ * Strip control characters that enable header injection; allow TAB; cap length.
+ * Removes null bytes, CR/LF and other C0/DEL controls while keeping TAB (\x09),
+ * which is a valid header-value continuation character per RFC 7230.
+ */
+export function sanitizeKeyValuePairValue(raw: string): string {
+	return raw.replace(KEY_VALUE_PAIR_UNSAFE_VALUE_RE, '').slice(0, KEY_VALUE_PAIR_VALUE_MAX_LENGTH);
+}
diff --git a/tools/server/webui/src/lib/utils/text-files.ts b/tools/server/webui/src/lib/utils/text-files.ts
index e8006de64d3..3f7a55ebc26 100644
--- a/tools/server/webui/src/lib/utils/text-files.ts
+++ b/tools/server/webui/src/lib/utils/text-files.ts
@@ -3,10 +3,8 @@
  * Handles text file detection, reading, and validation
  */
 
-import {
-	DEFAULT_BINARY_DETECTION_OPTIONS,
-	type BinaryDetectionOptions
-} from '$lib/constants/binary-detection';
+import { DEFAULT_BINARY_DETECTION_OPTIONS } from '$lib/constants';
+import type { BinaryDetectionOptions } from '$lib/types';
 import { FileExtensionText } from '$lib/enums';
 
 /**
diff --git a/tools/server/webui/src/lib/utils/uri-template.ts b/tools/server/webui/src/lib/utils/uri-template.ts
new file mode 100644
index 00000000000..7665c98c929
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/uri-template.ts
@@ -0,0 +1,198 @@
+import {
+	TEMPLATE_EXPRESSION_REGEX,
+	URI_SCHEME_SEPARATOR,
+	URI_TEMPLATE_OPERATORS,
+	URI_TEMPLATE_SEPARATORS,
+	VARIABLE_EXPLODE_MODIFIER_REGEX,
+	VARIABLE_PREFIX_MODIFIER_REGEX,
+	LEADING_SLASHES_REGEX
+} from '../constants';
+
+/**
+ * Normalize a resource URI for comparison.
+ *
+ * URI template expansion (especially with path operators like {/var})
+ * can produce URIs that differ from listed resource URIs in slash placement.
+ * For example, the template `svelte://{/slug*}.md` with slug="svelte/$effect"
+ * expands to `svelte:///svelte/$effect.md`, while the listed resource URI is
+ * `svelte://svelte/$effect.md`.
+ *
+ * This function strips extra leading slashes after the scheme to normalize
+ * both forms to the same string for comparison purposes.
+ *
+ * @param uri - The URI to normalize
+ * @returns Normalized URI string
+ */
+export function normalizeResourceUri(uri: string): string {
+	const schemeEnd = uri.indexOf(URI_SCHEME_SEPARATOR);
+	if (schemeEnd === -1) return uri;
+
+	const scheme = uri.substring(0, schemeEnd);
+	const rest = uri
+		.substring(schemeEnd + URI_SCHEME_SEPARATOR.length)
+		.replace(LEADING_SLASHES_REGEX, '');
+
+	return `${scheme}${URI_SCHEME_SEPARATOR}${rest}`;
+}
+
+/**
+ * A parsed variable from a URI template expression.
+ */
+export interface UriTemplateVariable {
+	/** Variable name */
+	name: string;
+	/** Operator prefix (+, #, /, etc.) or empty string */
+	operator: string;
+}
+
+/**
+ * Extract all variable names from a URI template string.
+ *
+ * @param template - URI template string (RFC 6570)
+ * @returns Array of unique variable descriptors
+ *
+ * @example
+ * ```ts
+ * extractTemplateVariables("file:///{path}")
+ * // => [{ name: "path", operator: "" }]
+ *
+ * extractTemplateVariables("db://{schema}/{table}")
+ * // => [{ name: "schema", operator: "" }, { name: "table", operator: "" }]
+ * ```
+ */
+export function extractTemplateVariables(template: string): UriTemplateVariable[] {
+	const variables: UriTemplateVariable[] = [];
+	const seen = new Set<string>();
+
+	let match;
+	TEMPLATE_EXPRESSION_REGEX.lastIndex = 0;
+
+	while ((match = TEMPLATE_EXPRESSION_REGEX.exec(template)) !== null) {
+		const operator = match[1] || '';
+		const varList = match[2];
+
+		// RFC 6570 allows comma-separated variable lists: {x,y,z}
+		for (const varSpec of varList.split(',')) {
+			// Strip explode modifier (*) and prefix modifier (:N)
+			const name = varSpec
+				.replace(VARIABLE_EXPLODE_MODIFIER_REGEX, '')
+				.replace(VARIABLE_PREFIX_MODIFIER_REGEX, '')
+				.trim();
+
+			if (name && !seen.has(name)) {
+				seen.add(name);
+				variables.push({ name, operator });
+			}
+		}
+	}
+
+	return variables;
+}
+
+/**
+ * Expand a URI template with the given variable values.
+ * Implements a simplified RFC 6570 Level 2 expansion.
+ *
+ * @param template - URI template string
+ * @param values - Map of variable name to value
+ * @returns Expanded URI string
+ *
+ * @example
+ * ```ts
+ * expandTemplate("file:///{path}", { path: "src/main.rs" })
+ * // => "file:///src/main.rs"
+ * ```
+ */
+export function expandTemplate(template: string, values: Record<string, string>): string {
+	TEMPLATE_EXPRESSION_REGEX.lastIndex = 0;
+
+	return template.replace(
+		TEMPLATE_EXPRESSION_REGEX,
+		(_match, operator: string, varList: string) => {
+			const varNames = varList
+				.split(',')
+				.map((v: string) =>
+					v
+						.replace(VARIABLE_EXPLODE_MODIFIER_REGEX, '')
+						.replace(VARIABLE_PREFIX_MODIFIER_REGEX, '')
+						.trim()
+				);
+
+			const expandedParts = varNames
+				.map((name: string) => values[name] ?? '')
+				.filter((v: string) => v !== '');
+
+			if (expandedParts.length === 0) return '';
+
+			switch (operator) {
+				case URI_TEMPLATE_OPERATORS.RESERVED:
+					// Reserved expansion: no encoding
+					return expandedParts.join(URI_TEMPLATE_SEPARATORS.COMMA);
+				case URI_TEMPLATE_OPERATORS.FRAGMENT:
+					// Fragment expansion
+					return (
+						URI_TEMPLATE_OPERATORS.FRAGMENT + expandedParts.join(URI_TEMPLATE_SEPARATORS.COMMA)
+					);
+				case URI_TEMPLATE_OPERATORS.PATH_SEGMENT:
+					// Path segments
+					return URI_TEMPLATE_SEPARATORS.SLASH + expandedParts.join(URI_TEMPLATE_SEPARATORS.SLASH);
+				case URI_TEMPLATE_OPERATORS.LABEL:
+					// Label expansion
+					return (
+						URI_TEMPLATE_SEPARATORS.PERIOD + expandedParts.join(URI_TEMPLATE_SEPARATORS.PERIOD)
+					);
+				case URI_TEMPLATE_OPERATORS.PATH_PARAM:
+					// Path-style parameters
+					return varNames
+						.filter((_: string, i: number) => expandedParts[i])
+						.map(
+							(name: string, i: number) =>
+								`${URI_TEMPLATE_SEPARATORS.SEMICOLON}${name}=${expandedParts[i]}`
+						)
+						.join('');
+				case URI_TEMPLATE_OPERATORS.FORM_QUERY:
+					// Form-style query
+					return (
+						URI_TEMPLATE_SEPARATORS.QUERY_PREFIX +
+						varNames
+							.filter((_: string, i: number) => expandedParts[i])
+							.map(
+								(name: string, i: number) =>
+									`${encodeURIComponent(name)}=${encodeURIComponent(expandedParts[i])}`
+							)
+							.join(URI_TEMPLATE_SEPARATORS.COMMA)
+					);
+				case URI_TEMPLATE_OPERATORS.FORM_CONTINUATION:
+					// Form-style query continuation
+					return (
+						URI_TEMPLATE_SEPARATORS.QUERY_CONTINUATION +
+						varNames
+							.filter((_: string, i: number) => expandedParts[i])
+							.map(
+								(name: string, i: number) =>
+									`${encodeURIComponent(name)}=${encodeURIComponent(expandedParts[i])}`
+							)
+							.join(URI_TEMPLATE_SEPARATORS.COMMA)
+					);
+				default:
+					// Simple string expansion (default operator)
+					return expandedParts
+						.map((v: string) => encodeURIComponent(v))
+						.join(URI_TEMPLATE_SEPARATORS.COMMA);
+			}
+		}
+	);
+}
+
+/**
+ * Check whether all required variables in a template have been provided.
+ *
+ * @param template - URI template string
+ * @param values - Map of variable name to value
+ * @returns true if all variables have non-empty values
+ */
+export function isTemplateComplete(template: string, values: Record<string, string>): boolean {
+	const variables = extractTemplateVariables(template);
+
+	return variables.every((v) => (values[v.name] ?? '').trim() !== '');
+}
diff --git a/tools/server/webui/src/lib/utils/uuid.ts b/tools/server/webui/src/lib/utils/uuid.ts
new file mode 100644
index 00000000000..29c20b31078
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/uuid.ts
@@ -0,0 +1,3 @@
+export function uuid(): string {
+	return globalThis.crypto?.randomUUID?.() ?? Math.random().toString(36).substring(2);
+}
diff --git a/tools/server/webui/src/routes/+layout.svelte b/tools/server/webui/src/routes/+layout.svelte
index 095827b9ca5..ef27276a3c8 100644
--- a/tools/server/webui/src/routes/+layout.svelte
+++ b/tools/server/webui/src/routes/+layout.svelte
@@ -1,6 +1,7 @@
 <script lang="ts">
 	import '../app.css';
 	import { base } from '$app/paths';
+	import { browser } from '$app/environment';
 	import { page } from '$app/state';
 	import { untrack } from 'svelte';
 	import { ChatSidebar, DialogConversationTitleUpdate } from '$lib/components/app';
@@ -14,7 +15,9 @@
 	import { Toaster } from 'svelte-sonner';
 	import { goto } from '$app/navigation';
 	import { modelsStore } from '$lib/stores/models.svelte';
-	import { TOOLTIP_DELAY_DURATION } from '$lib/constants/tooltip-config';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { TOOLTIP_DELAY_DURATION } from '$lib/constants';
+	import { KeyboardKey } from '$lib/enums';
 	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
 
 	let { children } = $props();
@@ -43,7 +46,7 @@
 	function handleKeydown(event: KeyboardEvent) {
 		const isCtrlOrCmd = event.ctrlKey || event.metaKey;
 
-		if (isCtrlOrCmd && event.key === 'k') {
+		if (isCtrlOrCmd && event.key === KeyboardKey.K_LOWER) {
 			event.preventDefault();
 			if (chatSidebar?.activateSearchMode) {
 				chatSidebar.activateSearchMode();
@@ -51,12 +54,12 @@
 			}
 		}
 
-		if (isCtrlOrCmd && event.shiftKey && event.key === 'O') {
+		if (isCtrlOrCmd && event.shiftKey && event.key === KeyboardKey.O_UPPER) {
 			event.preventDefault();
 			goto('?new_chat=true#/');
 		}
 
-		if (event.shiftKey && isCtrlOrCmd && event.key === 'E') {
+		if (event.shiftKey && isCtrlOrCmd && event.key === KeyboardKey.E_UPPER) {
 			event.preventDefault();
 
 			if (chatSidebar?.editActiveConversation) {
@@ -141,6 +144,26 @@
 		}
 	});
 
+	// Background MCP server health checks on app load
+	// Fetch enabled servers from settings and run health checks in background
+	$effect(() => {
+		if (!browser) return;
+
+		const mcpServers = mcpStore.getServers();
+
+		// Only run health checks if we have enabled servers with URLs
+		const enabledServers = mcpServers.filter((s) => s.enabled && s.url.trim());
+
+		if (enabledServers.length > 0) {
+			untrack(() => {
+				// Run health checks in background (don't await)
+				mcpStore.runHealthChecksForServers(enabledServers, false).catch((error) => {
+					console.warn('[layout] MCP health checks failed:', error);
+				});
+			});
+		}
+	});
+
 	// Monitor API key changes and redirect to error page if removed or changed when required
 	$effect(() => {
 		const apiKey = config().apiKey;
@@ -206,7 +229,7 @@
 
 			{#if !(alwaysShowSidebarOnDesktop && isDesktop)}
 				<Sidebar.Trigger
-					class="transition-left absolute left-0 z-[900] h-8 w-8 duration-200 ease-linear {sidebarOpen
+					class="transition-left absolute left-0 z-[900] duration-200 ease-linear {sidebarOpen
 						? 'md:left-[var(--sidebar-width)]'
 						: ''}"
 					style="translate: 1rem 1rem;"
diff --git a/tools/server/webui/src/routes/+page.svelte b/tools/server/webui/src/routes/+page.svelte
index 32a7c2e6e42..11e4e31d3a4 100644
--- a/tools/server/webui/src/routes/+page.svelte
+++ b/tools/server/webui/src/routes/+page.svelte
@@ -3,6 +3,7 @@
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { conversationsStore, isConversationsInitialized } from '$lib/stores/conversations.svelte';
 	import { modelsStore, modelOptions } from '$lib/stores/models.svelte';
+	import { isRouterMode } from '$lib/stores/server.svelte';
 	import { onMount } from 'svelte';
 	import { page } from '$app/state';
 	import { replaceState } from '$app/navigation';
@@ -71,6 +72,14 @@
 		conversationsStore.clearActiveConversation();
 		chatStore.clearUIState();
 
+		if (
+			isRouterMode() &&
+			modelsStore.selectedModelName &&
+			!modelsStore.isModelLoaded(modelsStore.selectedModelName)
+		) {
+			modelsStore.clearSelection();
+		}
+
 		// Handle URL params only if we have ?q= or ?model= or ?new_chat=true
 		if (qParam !== null || modelParam !== null || newChatParam === 'true') {
 			await handleUrlParams();
@@ -82,7 +91,7 @@
 	<title>llama.cpp - AI Chat Interface</title>
 </svelte:head>
 
-<ChatScreen showCenteredEmpty={true} />
+<ChatScreen showCenteredEmpty />
 
 <DialogModelNotAvailable
 	bind:open={showModelNotAvailable}
diff --git a/tools/server/webui/src/routes/chat/[id]/+page.svelte b/tools/server/webui/src/routes/chat/[id]/+page.svelte
index b897ef5bcd4..c0b2e0c5e7a 100644
--- a/tools/server/webui/src/routes/chat/[id]/+page.svelte
+++ b/tools/server/webui/src/routes/chat/[id]/+page.svelte
@@ -99,10 +99,12 @@
 			(option) => option.model === lastMessageWithModel.model
 		);
 
-		if (matchingModel) {
+		if (matchingModel && modelsStore.isModelLoaded(matchingModel.model)) {
 			try {
 				await modelsStore.selectModelById(matchingModel.id);
-				console.log(`Automatically loaded model: ${lastMessageWithModel.model} from last message`);
+				console.log(
+					`Automatically selected model: ${lastMessageWithModel.model} from last message`
+				);
 			} catch (error) {
 				console.warn('Failed to automatically select model from last message:', error);
 			}
diff --git a/tools/server/webui/tests/stories/ChatMessage.stories.svelte b/tools/server/webui/tests/stories/ChatMessage.stories.svelte
index 5f4de7d476f..a3579cf04ea 100644
--- a/tools/server/webui/tests/stories/ChatMessage.stories.svelte
+++ b/tools/server/webui/tests/stories/ChatMessage.stories.svelte
@@ -93,7 +93,7 @@
 	}}
 	play={async () => {
 		const { settingsStore } = await import('$lib/stores/settings.svelte');
-		settingsStore.updateConfig('disableReasoningFormat', false);
+		settingsStore.updateConfig('showRawOutputSwitch', false);
 	}}
 />
 
@@ -105,7 +105,7 @@
 	}}
 	play={async () => {
 		const { settingsStore } = await import('$lib/stores/settings.svelte');
-		settingsStore.updateConfig('disableReasoningFormat', false);
+		settingsStore.updateConfig('showRawOutputSwitch', false);
 	}}
 />
 
@@ -117,7 +117,7 @@
 	}}
 	play={async () => {
 		const { settingsStore } = await import('$lib/stores/settings.svelte');
-		settingsStore.updateConfig('disableReasoningFormat', false);
+		settingsStore.updateConfig('showRawOutputSwitch', false);
 	}}
 />
 
@@ -129,7 +129,7 @@
 	}}
 	play={async () => {
 		const { settingsStore } = await import('$lib/stores/settings.svelte');
-		settingsStore.updateConfig('disableReasoningFormat', true);
+		settingsStore.updateConfig('showRawOutputSwitch', true);
 	}}
 />
 
@@ -141,7 +141,7 @@
 	asChild
 	play={async () => {
 		const { settingsStore } = await import('$lib/stores/settings.svelte');
-		settingsStore.updateConfig('disableReasoningFormat', false);
+		settingsStore.updateConfig('showRawOutputSwitch', false);
 		// Phase 1: Stream reasoning content in chunks
 		let reasoningText =
 			'I need to think about this carefully. Let me break down the problem:\n\n1. The user is asking for help with something complex\n2. I should provide a thorough and helpful response\n3. I need to consider multiple approaches\n4. The best solution would be to explain step by step\n\nThis approach will ensure clarity and understanding.';
@@ -193,7 +193,7 @@
 	}}
 	play={async () => {
 		const { settingsStore } = await import('$lib/stores/settings.svelte');
-		settingsStore.updateConfig('disableReasoningFormat', false);
+		settingsStore.updateConfig('showRawOutputSwitch', false);
 		// Import the chat store to simulate loading state
 		const { chatStore } = await import('$lib/stores/chat.svelte');
 
diff --git a/tools/server/webui/tests/stories/ChatForm.stories.svelte b/tools/server/webui/tests/stories/ChatScreenForm.stories.svelte
similarity index 52%
rename from tools/server/webui/tests/stories/ChatForm.stories.svelte
rename to tools/server/webui/tests/stories/ChatScreenForm.stories.svelte
index 18319e8e611..4c173434595 100644
--- a/tools/server/webui/tests/stories/ChatForm.stories.svelte
+++ b/tools/server/webui/tests/stories/ChatScreenForm.stories.svelte
@@ -1,15 +1,14 @@
 <script module lang="ts">
 	import { defineMeta } from '@storybook/addon-svelte-csf';
-	import ChatForm from '$lib/components/app/chat/ChatForm/ChatForm.svelte';
+	import ChatScreenForm from '$lib/components/app/chat/ChatScreen/ChatScreenForm.svelte';
 	import { expect } from 'storybook/test';
-	import { mockServerProps, mockConfigs } from './fixtures/storybook-mocks';
 	import jpgAsset from './fixtures/assets/1.jpg?url';
 	import svgAsset from './fixtures/assets/hf-logo.svg?url';
 	import pdfAsset from './fixtures/assets/example.pdf?raw';
 
 	const { Story } = defineMeta({
-		title: 'Components/ChatScreen/ChatForm',
-		component: ChatForm,
+		title: 'Components/ChatScreen/ChatScreenForm',
+		component: ChatScreenForm,
 		parameters: {
 			layout: 'centered'
 		}
@@ -46,8 +45,6 @@
 	name="Default"
 	args={{ class: 'max-w-[56rem] w-[calc(100vw-2rem)]' }}
 	play={async ({ canvas, userEvent }) => {
-		mockServerProps(mockConfigs.noModalities);
-
 		const textarea = await canvas.findByRole('textbox');
 		const submitButton = await canvas.findByRole('button', { name: 'Send' });
 
@@ -66,73 +63,11 @@
 
 		const fileInput = document.querySelector('input[type="file"]');
 		await expect(fileInput).not.toHaveAttribute('accept');
-
-		// Open file attachments dropdown
-		const fileUploadButton = canvas.getByText('Attach files');
-		await userEvent.click(fileUploadButton);
-
-		// Check dropdown menu items are disabled (no modalities)
-		const imagesButton = document.querySelector('.images-button');
-		const audioButton = document.querySelector('.audio-button');
-
-		await expect(imagesButton).toHaveAttribute('data-disabled');
-		await expect(audioButton).toHaveAttribute('data-disabled');
-
-		// Close dropdown by pressing Escape
-		await userEvent.keyboard('{Escape}');
 	}}
 />
 
 <Story name="Loading" args={{ class: 'max-w-[56rem] w-[calc(100vw-2rem)]', isLoading: true }} />
 
-<Story
-	name="VisionModality"
-	args={{ class: 'max-w-[56rem] w-[calc(100vw-2rem)]' }}
-	play={async ({ canvas, userEvent }) => {
-		mockServerProps(mockConfigs.visionOnly);
-
-		// Open file attachments dropdown and verify it works
-		const fileUploadButton = canvas.getByText('Attach files');
-		await userEvent.click(fileUploadButton);
-
-		// Verify dropdown menu items exist
-		const imagesButton = document.querySelector('.images-button');
-		const audioButton = document.querySelector('.audio-button');
-
-		await expect(imagesButton).toBeInTheDocument();
-		await expect(audioButton).toBeInTheDocument();
-
-		// Close dropdown by pressing Escape
-		await userEvent.keyboard('{Escape}');
-
-		console.log('✅ Vision modality: Dropdown menu verified');
-	}}
-/>
-
-<Story
-	name="AudioModality"
-	args={{ class: 'max-w-[56rem] w-[calc(100vw-2rem)]' }}
-	play={async ({ canvas, userEvent }) => {
-		mockServerProps(mockConfigs.audioOnly);
-
-		// Open file attachments dropdown and verify it works
-		const fileUploadButton = canvas.getByText('Attach files');
-		await userEvent.click(fileUploadButton);
-
-		// Verify dropdown menu items exist
-		const imagesButton = document.querySelector('.images-button');
-		const audioButton = document.querySelector('.audio-button');
-
-		await expect(imagesButton).toBeInTheDocument();
-		await expect(audioButton).toBeInTheDocument();
-
-		// Close dropdown by pressing Escape
-		await userEvent.keyboard('{Escape}');
-
-		console.log('✅ Audio modality: Dropdown menu verified');
-	}}
-/>
-
 <Story
 	name="FileAttachments"
 	args={{
@@ -140,8 +75,6 @@
 		uploadedFiles: fileAttachments
 	}}
 	play={async ({ canvas }) => {
-		mockServerProps(mockConfigs.bothModalities);
-
 		const jpgAttachment = canvas.getByAltText('1.jpg');
 		const svgAttachment = canvas.getByAltText('hf-logo.svg');
 		const pdfFileExtension = canvas.getByText('PDF');
diff --git a/tools/server/webui/tests/stories/MarkdownContent.stories.svelte b/tools/server/webui/tests/stories/MarkdownContent.stories.svelte
index 90aa90bb046..04f270a432e 100644
--- a/tools/server/webui/tests/stories/MarkdownContent.stories.svelte
+++ b/tools/server/webui/tests/stories/MarkdownContent.stories.svelte
@@ -68,18 +68,22 @@ You can also test inline links like https://example.com or https://docs.python.o
 All links should have \`target="_blank"\` and \`rel="noopener noreferrer"\` attributes for security.`,
 		class: 'max-w-[56rem] w-[calc(100vw-2rem)]'
 	}}
-	play={async ({ canvasElement }) => {
+	play={async (context) => {
+		const { canvasElement } = context;
 		// Wait for component to render
 		await new Promise((resolve) => setTimeout(resolve, 100));
 
 		// Find all links in the rendered content
-		const links = canvasElement.querySelectorAll('a[href]');
+		const links = (canvasElement as HTMLElement).querySelectorAll(
+			'a[href]'
+		) as NodeListOf<HTMLAnchorElement>;
+		const linkList = Array.from(links) as HTMLAnchorElement[];
 
 		// Test that we have the expected number of links
 		expect(links.length).toBeGreaterThan(0);
 
 		// Test each link for proper attributes
-		links.forEach((link) => {
+		links.forEach((link: HTMLAnchorElement) => {
 			const href = link.getAttribute('href');
 
 			// Test that external links have proper security attributes
@@ -90,37 +94,35 @@ All links should have \`target="_blank"\` and \`rel="noopener noreferrer"\` attr
 		});
 
 		// Test specific links exist
-		const hugginFaceLink = Array.from(links).find(
+		const hugginFaceLink = linkList.find(
 			(link) => link.getAttribute('href') === 'https://huggingface.co'
 		);
 		expect(hugginFaceLink).toBeTruthy();
 		expect(hugginFaceLink?.textContent).toBe('Hugging Face Homepage');
 
-		const githubLink = Array.from(links).find(
+		const githubLink = linkList.find(
 			(link) => link.getAttribute('href') === 'https://github.com/ggml-org/llama.cpp'
 		);
 		expect(githubLink).toBeTruthy();
 		expect(githubLink?.textContent).toBe('GitHub Repository');
 
-		const openaiLink = Array.from(links).find(
-			(link) => link.getAttribute('href') === 'https://openai.com'
-		);
+		const openaiLink = linkList.find((link) => link.getAttribute('href') === 'https://openai.com');
 		expect(openaiLink).toBeTruthy();
 		expect(openaiLink?.textContent).toBe('OpenAI Website');
 
-		const googleLink = Array.from(links).find(
+		const googleLink = linkList.find(
 			(link) => link.getAttribute('href') === 'https://www.google.com'
 		);
 		expect(googleLink).toBeTruthy();
 		expect(googleLink?.textContent).toBe('Google Search');
 
 		// Test inline links (auto-linked URLs)
-		const exampleLink = Array.from(links).find(
+		const exampleLink = linkList.find(
 			(link) => link.getAttribute('href') === 'https://example.com'
 		);
 		expect(exampleLink).toBeTruthy();
 
-		const pythonDocsLink = Array.from(links).find(
+		const pythonDocsLink = linkList.find(
 			(link) => link.getAttribute('href') === 'https://docs.python.org'
 		);
 		expect(pythonDocsLink).toBeTruthy();
diff --git a/tools/server/webui/tests/unit/agentic-strip.test.ts b/tools/server/webui/tests/unit/agentic-strip.test.ts
new file mode 100644
index 00000000000..436908bdb8b
--- /dev/null
+++ b/tools/server/webui/tests/unit/agentic-strip.test.ts
@@ -0,0 +1,81 @@
+import { describe, it, expect } from 'vitest';
+import { AGENTIC_REGEX } from '$lib/constants/agentic';
+
+// Mirror the logic in ChatService.stripReasoningContent so we can test it in isolation.
+// The real function is private static, so we replicate the strip pipeline here.
+function stripContextMarkers(content: string): string {
+	return content
+		.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
+		.replace(AGENTIC_REGEX.REASONING_OPEN, '')
+		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
+		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
+}
+
+// A realistic complete tool call block as stored in message.content after a turn.
+const COMPLETE_BLOCK =
+	'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
+	'<<<TOOL_NAME:bash_tool>>>\n' +
+	'<<<TOOL_ARGS_START>>>\n' +
+	'{"command":"ls /tmp","description":"list tmp"}\n' +
+	'<<<TOOL_ARGS_END>>>\n' +
+	'file1.txt\nfile2.txt\n' +
+	'<<<AGENTIC_TOOL_CALL_END>>>\n';
+
+// Partial block: streaming was cut before END arrived.
+const OPEN_BLOCK =
+	'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
+	'<<<TOOL_NAME:bash_tool>>>\n' +
+	'<<<TOOL_ARGS_START>>>\n' +
+	'{"command":"ls /tmp","description":"list tmp"}\n' +
+	'<<<TOOL_ARGS_END>>>\n' +
+	'partial output...';
+
+describe('agentic marker stripping for context', () => {
+	it('strips a complete tool call block, leaving surrounding text', () => {
+		const input = 'Before.' + COMPLETE_BLOCK + 'After.';
+		const result = stripContextMarkers(input);
+		// markers gone; residual newlines between fragments are fine
+		expect(result).not.toContain('<<<');
+		expect(result).toContain('Before.');
+		expect(result).toContain('After.');
+	});
+
+	it('strips multiple complete tool call blocks', () => {
+		const input = 'A' + COMPLETE_BLOCK + 'B' + COMPLETE_BLOCK + 'C';
+		const result = stripContextMarkers(input);
+		expect(result).not.toContain('<<<');
+		expect(result).toContain('A');
+		expect(result).toContain('B');
+		expect(result).toContain('C');
+	});
+
+	it('strips an open/partial tool call block (no END marker)', () => {
+		const input = 'Lead text.' + OPEN_BLOCK;
+		const result = stripContextMarkers(input);
+		expect(result).toBe('Lead text.');
+		expect(result).not.toContain('<<<');
+	});
+
+	it('does not alter content with no markers', () => {
+		const input = 'Just a normal assistant response.';
+		expect(stripContextMarkers(input)).toBe(input);
+	});
+
+	it('strips reasoning block independently', () => {
+		const input = '<<<reasoning_content_start>>>think hard<<<reasoning_content_end>>>Answer.';
+		expect(stripContextMarkers(input)).toBe('Answer.');
+	});
+
+	it('strips both reasoning and agentic blocks together', () => {
+		const input =
+			'<<<reasoning_content_start>>>plan<<<reasoning_content_end>>>' +
+			'Some text.' +
+			COMPLETE_BLOCK;
+		expect(stripContextMarkers(input)).not.toContain('<<<');
+		expect(stripContextMarkers(input)).toContain('Some text.');
+	});
+
+	it('empty string survives', () => {
+		expect(stripContextMarkers('')).toBe('');
+	});
+});
diff --git a/tools/server/webui/tests/unit/uri-template.test.ts b/tools/server/webui/tests/unit/uri-template.test.ts
new file mode 100644
index 00000000000..6221279231a
--- /dev/null
+++ b/tools/server/webui/tests/unit/uri-template.test.ts
@@ -0,0 +1,168 @@
+import { describe, it, expect } from 'vitest';
+import {
+	extractTemplateVariables,
+	expandTemplate,
+	isTemplateComplete,
+	normalizeResourceUri
+} from '../../src/lib/utils/uri-template';
+import { URI_TEMPLATE_OPERATORS } from '../../src/lib/constants/uri-template';
+
+describe('extractTemplateVariables', () => {
+	it('extracts simple variables', () => {
+		const vars = extractTemplateVariables('file:///{path}');
+		expect(vars).toEqual([{ name: 'path', operator: '' }]);
+	});
+
+	it('extracts multiple variables', () => {
+		const vars = extractTemplateVariables('db://{schema}/{table}');
+		expect(vars).toEqual([
+			{ name: 'schema', operator: '' },
+			{ name: 'table', operator: '' }
+		]);
+	});
+
+	it('extracts variables with operators', () => {
+		const vars = extractTemplateVariables('http://example.com{+path}');
+		expect(vars).toEqual([{ name: 'path', operator: URI_TEMPLATE_OPERATORS.RESERVED }]);
+	});
+
+	it('extracts comma-separated variable lists', () => {
+		const vars = extractTemplateVariables('{x,y,z}');
+		expect(vars).toEqual([
+			{ name: 'x', operator: '' },
+			{ name: 'y', operator: '' },
+			{ name: 'z', operator: '' }
+		]);
+	});
+
+	it('deduplicates variable names', () => {
+		const vars = extractTemplateVariables('{name}/{name}');
+		expect(vars).toEqual([{ name: 'name', operator: '' }]);
+	});
+
+	it('handles fragment expansion', () => {
+		const vars = extractTemplateVariables('http://example.com/page{#section}');
+		expect(vars).toEqual([{ name: 'section', operator: URI_TEMPLATE_OPERATORS.FRAGMENT }]);
+	});
+
+	it('handles path segment expansion', () => {
+		const vars = extractTemplateVariables('http://example.com{/path}');
+		expect(vars).toEqual([{ name: 'path', operator: URI_TEMPLATE_OPERATORS.PATH_SEGMENT }]);
+	});
+
+	it('returns empty array for template without variables', () => {
+		const vars = extractTemplateVariables('http://example.com/static');
+		expect(vars).toEqual([]);
+	});
+
+	it('strips explode modifier', () => {
+		const vars = extractTemplateVariables('{list*}');
+		expect(vars).toEqual([{ name: 'list', operator: '' }]);
+	});
+
+	it('strips prefix modifier', () => {
+		const vars = extractTemplateVariables('{value:5}');
+		expect(vars).toEqual([{ name: 'value', operator: '' }]);
+	});
+});
+
+describe('expandTemplate', () => {
+	it('expands simple variable', () => {
+		const result = expandTemplate('file:///{path}', { path: 'src/main.rs' });
+		expect(result).toBe('file:///src%2Fmain.rs');
+	});
+
+	it('expands reserved variable (no encoding)', () => {
+		const result = expandTemplate('file:///{+path}', { path: 'src/main.rs' });
+		expect(result).toBe('file:///src/main.rs');
+	});
+
+	it('expands multiple variables', () => {
+		const result = expandTemplate('db://{schema}/{table}', {
+			schema: 'public',
+			table: 'users'
+		});
+		expect(result).toBe('db://public/users');
+	});
+
+	it('leaves empty for missing variables', () => {
+		const result = expandTemplate('{missing}', {});
+		expect(result).toBe('');
+	});
+
+	it('expands fragment', () => {
+		const result = expandTemplate('http://example.com/page{#section}', {
+			section: 'intro'
+		});
+		expect(result).toBe('http://example.com/page#intro');
+	});
+
+	it('expands path segments', () => {
+		const result = expandTemplate('http://example.com{/path}', { path: 'docs' });
+		expect(result).toBe('http://example.com/docs');
+	});
+
+	it('expands query parameters', () => {
+		const result = expandTemplate('http://example.com{?q}', { q: 'search term' });
+		expect(result).toBe('http://example.com?q=search%20term');
+	});
+
+	it('keeps static parts unchanged', () => {
+		const result = expandTemplate('http://example.com/static', {});
+		expect(result).toBe('http://example.com/static');
+	});
+});
+
+describe('isTemplateComplete', () => {
+	it('returns true when all variables are filled', () => {
+		expect(isTemplateComplete('file:///{path}', { path: 'test.txt' })).toBe(true);
+	});
+
+	it('returns false when a variable is missing', () => {
+		expect(isTemplateComplete('db://{schema}/{table}', { schema: 'public' })).toBe(false);
+	});
+
+	it('returns false when a variable is empty', () => {
+		expect(isTemplateComplete('file:///{path}', { path: '' })).toBe(false);
+	});
+
+	it('returns false when a variable is whitespace only', () => {
+		expect(isTemplateComplete('file:///{path}', { path: '   ' })).toBe(false);
+	});
+
+	it('returns true for template without variables', () => {
+		expect(isTemplateComplete('http://example.com/static', {})).toBe(true);
+	});
+
+	it('returns true when all multiple variables are filled', () => {
+		expect(isTemplateComplete('db://{schema}/{table}', { schema: 'public', table: 'users' })).toBe(
+			true
+		);
+	});
+});
+
+describe('normalizeResourceUri', () => {
+	it('passes through a normal URI unchanged', () => {
+		expect(normalizeResourceUri('svelte://svelte/$effect.md')).toBe('svelte://svelte/$effect.md');
+	});
+
+	it('normalizes triple-slash URIs from path-style template expansion', () => {
+		expect(normalizeResourceUri('svelte:///svelte/$effect.md')).toBe('svelte://svelte/$effect.md');
+	});
+
+	it('normalizes quadruple-slash URIs', () => {
+		expect(normalizeResourceUri('svelte:////svelte/$effect.md')).toBe('svelte://svelte/$effect.md');
+	});
+
+	it('handles file:// URIs', () => {
+		expect(normalizeResourceUri('file:///home/user/doc.txt')).toBe('file://home/user/doc.txt');
+	});
+
+	it('handles http URIs unchanged', () => {
+		expect(normalizeResourceUri('http://example.com/path')).toBe('http://example.com/path');
+	});
+
+	it('returns non-URI strings unchanged', () => {
+		expect(normalizeResourceUri('not-a-uri')).toBe('not-a-uri');
+	});
+});
diff --git a/tools/server/webui/vite.config.ts b/tools/server/webui/vite.config.ts
index 5183c09fcac..e4408f09e41 100644
--- a/tools/server/webui/vite.config.ts
+++ b/tools/server/webui/vite.config.ts
@@ -2,11 +2,15 @@ import tailwindcss from '@tailwindcss/vite';
 import { sveltekit } from '@sveltejs/kit/vite';
 import * as fflate from 'fflate';
 import { readFileSync, writeFileSync, existsSync } from 'fs';
-import { resolve } from 'path';
-import { defineConfig } from 'vite';
+import { dirname, resolve } from 'path';
+import { fileURLToPath } from 'url';
+
+import { defineConfig, searchForWorkspaceRoot } from 'vite';
 import devtoolsJson from 'vite-plugin-devtools-json';
 import { storybookTest } from '@storybook/addon-vitest/vitest-plugin';
 
+const __dirname = dirname(fileURLToPath(import.meta.url));
+
 const GUIDE_FOR_FRONTEND = `
 <!--
   This is a single file build of the frontend.
@@ -156,11 +160,15 @@ export default defineConfig({
 		proxy: {
 			'/v1': 'http://localhost:8080',
 			'/props': 'http://localhost:8080',
-			'/models': 'http://localhost:8080'
+			'/models': 'http://localhost:8080',
+			'/cors-proxy': 'http://localhost:8080'
 		},
 		headers: {
 			'Cross-Origin-Embedder-Policy': 'require-corp',
 			'Cross-Origin-Opener-Policy': 'same-origin'
+		},
+		fs: {
+			allow: [searchForWorkspaceRoot(process.cwd()), resolve(__dirname, 'tests')]
 		}
 	}
 });
diff --git a/tools/tokenize/tokenize.cpp b/tools/tokenize/tokenize.cpp
index 7375759ebe2..32cf8c8eb99 100644
--- a/tools/tokenize/tokenize.cpp
+++ b/tools/tokenize/tokenize.cpp
@@ -2,6 +2,7 @@
 //#include "log.h" // TODO: start using log.h
 #include "llama.h"
 
+#include <clocale>
 #include <cstdio>
 #include <cstring>
 #include <fstream>
@@ -184,6 +185,8 @@ static void write_utf8_cstr_to_stdout(const char * str, bool & invalid_utf8) {
 }
 
 int main(int raw_argc, char ** raw_argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     const std::vector<std::string> argv = ingest_args(raw_argc, raw_argv);
     const int argc = argv.size();
 
diff --git a/tools/tts/tts.cpp b/tools/tts/tts.cpp
index ac55a8b1ca4..dc2fa494b88 100644
--- a/tools/tts/tts.cpp
+++ b/tools/tts/tts.cpp
@@ -10,6 +10,7 @@
 #include <nlohmann/json.hpp>
 
 #include <algorithm>
+#include <clocale>
 #include <cmath>
 #include <cstdio>
 #include <fstream>
@@ -536,6 +537,8 @@ static std::string audio_data_from_speaker(json speaker, const outetts_version t
 }
 
 int main(int argc, char ** argv) {
+    std::setlocale(LC_NUMERIC, "C");
+
     common_params params;
 
     params.out_file = "output.wav";
diff --git a/vendor/cpp-httplib/CMakeLists.txt b/vendor/cpp-httplib/CMakeLists.txt
index a8a59e02f4a..4960f9c861e 100644
--- a/vendor/cpp-httplib/CMakeLists.txt
+++ b/vendor/cpp-httplib/CMakeLists.txt
@@ -17,7 +17,7 @@ endif()
 target_link_libraries(${TARGET} PRIVATE Threads::Threads)
 
 if (WIN32 AND NOT MSVC)
-    target_link_libraries(${TARGET} PRIVATE ws2_32)
+    target_link_libraries(${TARGET} PUBLIC ws2_32)
 endif()
 
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
@@ -39,7 +39,7 @@ if (LLAMA_BUILD_BORINGSSL)
     set(FIPS OFF CACHE BOOL "Enable FIPS (BoringSSL)")
 
     set(BORINGSSL_GIT "https://boringssl.googlesource.com/boringssl" CACHE STRING "BoringSSL git repository")
-    set(BORINGSSL_VERSION "0.20260204.0" CACHE STRING "BoringSSL version")
+    set(BORINGSSL_VERSION "0.20260211.0" CACHE STRING "BoringSSL version")
 
     message(STATUS "Fetching BoringSSL version ${BORINGSSL_VERSION}")
 
@@ -171,7 +171,6 @@ endif()
 if (CPPHTTPLIB_OPENSSL_SUPPORT)
     target_compile_definitions(${TARGET} PUBLIC CPPHTTPLIB_OPENSSL_SUPPORT) # used in server.cpp
     if (APPLE AND CMAKE_SYSTEM_NAME STREQUAL "Darwin")
-        target_compile_definitions(${TARGET} PRIVATE CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
         find_library(CORE_FOUNDATION_FRAMEWORK CoreFoundation REQUIRED)
         find_library(SECURITY_FRAMEWORK Security REQUIRED)
         target_link_libraries(${TARGET} PUBLIC ${CORE_FOUNDATION_FRAMEWORK} ${SECURITY_FRAMEWORK})
diff --git a/vendor/cpp-httplib/httplib.cpp b/vendor/cpp-httplib/httplib.cpp
index ba5f9c8ff9e..71a5f005675 100644
--- a/vendor/cpp-httplib/httplib.cpp
+++ b/vendor/cpp-httplib/httplib.cpp
@@ -1,13 +1,478 @@
 #include "httplib.h"
 namespace httplib {
-
+// httplib::any — type-erased value container (C++11 compatible)
+// On C++17+ builds, thin wrappers around std::any are provided.
 
 /*
  * Implementation that will be part of the .cc file if split into .h + .cc.
  */
 
+namespace stream {
+
+// stream::Result implementations
+Result::Result() : chunk_size_(8192) {}
+
+Result::Result(ClientImpl::StreamHandle &&handle, size_t chunk_size)
+    : handle_(std::move(handle)), chunk_size_(chunk_size) {}
+
+Result::Result(Result &&other) noexcept
+    : handle_(std::move(other.handle_)), buffer_(std::move(other.buffer_)),
+      current_size_(other.current_size_), chunk_size_(other.chunk_size_),
+      finished_(other.finished_) {
+  other.current_size_ = 0;
+  other.finished_ = true;
+}
+
+Result &Result::operator=(Result &&other) noexcept {
+  if (this != &other) {
+    handle_ = std::move(other.handle_);
+    buffer_ = std::move(other.buffer_);
+    current_size_ = other.current_size_;
+    chunk_size_ = other.chunk_size_;
+    finished_ = other.finished_;
+    other.current_size_ = 0;
+    other.finished_ = true;
+  }
+  return *this;
+}
+
+bool Result::is_valid() const { return handle_.is_valid(); }
+Result::operator bool() const { return is_valid(); }
+
+int Result::status() const {
+  return handle_.response ? handle_.response->status : -1;
+}
+
+const Headers &Result::headers() const {
+  static const Headers empty_headers;
+  return handle_.response ? handle_.response->headers : empty_headers;
+}
+
+std::string Result::get_header_value(const std::string &key,
+                                            const char *def) const {
+  return handle_.response ? handle_.response->get_header_value(key, def) : def;
+}
+
+bool Result::has_header(const std::string &key) const {
+  return handle_.response ? handle_.response->has_header(key) : false;
+}
+
+Error Result::error() const { return handle_.error; }
+Error Result::read_error() const { return handle_.get_read_error(); }
+bool Result::has_read_error() const { return handle_.has_read_error(); }
+
+bool Result::next() {
+  if (!handle_.is_valid() || finished_) { return false; }
+
+  if (buffer_.size() < chunk_size_) { buffer_.resize(chunk_size_); }
+
+  ssize_t n = handle_.read(&buffer_[0], chunk_size_);
+  if (n > 0) {
+    current_size_ = static_cast<size_t>(n);
+    return true;
+  }
+
+  current_size_ = 0;
+  finished_ = true;
+  return false;
+}
+
+const char *Result::data() const { return buffer_.data(); }
+size_t Result::size() const { return current_size_; }
+
+std::string Result::read_all() {
+  std::string result;
+  while (next()) {
+    result.append(data(), size());
+  }
+  return result;
+}
+
+} // namespace stream
+
+namespace sse {
+
+// SSEMessage implementations
+SSEMessage::SSEMessage() : event("message") {}
+
+void SSEMessage::clear() {
+  event = "message";
+  data.clear();
+  id.clear();
+}
+
+// SSEClient implementations
+SSEClient::SSEClient(Client &client, const std::string &path)
+    : client_(client), path_(path) {}
+
+SSEClient::SSEClient(Client &client, const std::string &path,
+                            const Headers &headers)
+    : client_(client), path_(path), headers_(headers) {}
+
+SSEClient::~SSEClient() { stop(); }
+
+SSEClient &SSEClient::on_message(MessageHandler handler) {
+  on_message_ = std::move(handler);
+  return *this;
+}
+
+SSEClient &SSEClient::on_event(const std::string &type,
+                                      MessageHandler handler) {
+  event_handlers_[type] = std::move(handler);
+  return *this;
+}
+
+SSEClient &SSEClient::on_open(OpenHandler handler) {
+  on_open_ = std::move(handler);
+  return *this;
+}
+
+SSEClient &SSEClient::on_error(ErrorHandler handler) {
+  on_error_ = std::move(handler);
+  return *this;
+}
+
+SSEClient &SSEClient::set_reconnect_interval(int ms) {
+  reconnect_interval_ms_ = ms;
+  return *this;
+}
+
+SSEClient &SSEClient::set_max_reconnect_attempts(int n) {
+  max_reconnect_attempts_ = n;
+  return *this;
+}
+
+bool SSEClient::is_connected() const { return connected_.load(); }
+
+const std::string &SSEClient::last_event_id() const {
+  return last_event_id_;
+}
+
+void SSEClient::start() {
+  running_.store(true);
+  run_event_loop();
+}
+
+void SSEClient::start_async() {
+  running_.store(true);
+  async_thread_ = std::thread([this]() { run_event_loop(); });
+}
+
+void SSEClient::stop() {
+  running_.store(false);
+  client_.stop(); // Cancel any pending operations
+  if (async_thread_.joinable()) { async_thread_.join(); }
+}
+
+bool SSEClient::parse_sse_line(const std::string &line, SSEMessage &msg,
+                                      int &retry_ms) {
+  // Blank line signals end of event
+  if (line.empty() || line == "\r") { return true; }
+
+  // Lines starting with ':' are comments (ignored)
+  if (!line.empty() && line[0] == ':') { return false; }
+
+  // Find the colon separator
+  auto colon_pos = line.find(':');
+  if (colon_pos == std::string::npos) {
+    // Line with no colon is treated as field name with empty value
+    return false;
+  }
+
+  auto field = line.substr(0, colon_pos);
+  std::string value;
+
+  // Value starts after colon, skip optional single space
+  if (colon_pos + 1 < line.size()) {
+    auto value_start = colon_pos + 1;
+    if (line[value_start] == ' ') { value_start++; }
+    value = line.substr(value_start);
+    // Remove trailing \r if present
+    if (!value.empty() && value.back() == '\r') { value.pop_back(); }
+  }
+
+  // Handle known fields
+  if (field == "event") {
+    msg.event = value;
+  } else if (field == "data") {
+    // Multiple data lines are concatenated with newlines
+    if (!msg.data.empty()) { msg.data += "\n"; }
+    msg.data += value;
+  } else if (field == "id") {
+    // Empty id is valid (clears the last event ID)
+    msg.id = value;
+  } else if (field == "retry") {
+    // Parse retry interval in milliseconds
+    {
+      int v = 0;
+      auto res =
+          detail::from_chars(value.data(), value.data() + value.size(), v);
+      if (res.ec == std::errc{}) { retry_ms = v; }
+    }
+  }
+  // Unknown fields are ignored per SSE spec
+
+  return false;
+}
+
+void SSEClient::run_event_loop() {
+  auto reconnect_count = 0;
+
+  while (running_.load()) {
+    // Build headers, including Last-Event-ID if we have one
+    auto request_headers = headers_;
+    if (!last_event_id_.empty()) {
+      request_headers.emplace("Last-Event-ID", last_event_id_);
+    }
+
+    // Open streaming connection
+    auto result = stream::Get(client_, path_, request_headers);
+
+    // Connection error handling
+    if (!result) {
+      connected_.store(false);
+      if (on_error_) { on_error_(result.error()); }
+
+      if (!should_reconnect(reconnect_count)) { break; }
+      wait_for_reconnect();
+      reconnect_count++;
+      continue;
+    }
+
+    if (result.status() != 200) {
+      connected_.store(false);
+      // For certain errors, don't reconnect
+      if (result.status() == 204 || // No Content - server wants us to stop
+          result.status() == 404 || // Not Found
+          result.status() == 401 || // Unauthorized
+          result.status() == 403) { // Forbidden
+        if (on_error_) { on_error_(Error::Connection); }
+        break;
+      }
+
+      if (on_error_) { on_error_(Error::Connection); }
+
+      if (!should_reconnect(reconnect_count)) { break; }
+      wait_for_reconnect();
+      reconnect_count++;
+      continue;
+    }
+
+    // Connection successful
+    connected_.store(true);
+    reconnect_count = 0;
+    if (on_open_) { on_open_(); }
+
+    // Event receiving loop
+    std::string buffer;
+    SSEMessage current_msg;
+
+    while (running_.load() && result.next()) {
+      buffer.append(result.data(), result.size());
+
+      // Process complete lines in the buffer
+      size_t line_start = 0;
+      size_t newline_pos;
+
+      while ((newline_pos = buffer.find('\n', line_start)) !=
+             std::string::npos) {
+        auto line = buffer.substr(line_start, newline_pos - line_start);
+        line_start = newline_pos + 1;
+
+        // Parse the line and check if event is complete
+        auto event_complete =
+            parse_sse_line(line, current_msg, reconnect_interval_ms_);
+
+        if (event_complete && !current_msg.data.empty()) {
+          // Update last_event_id for reconnection
+          if (!current_msg.id.empty()) { last_event_id_ = current_msg.id; }
+
+          // Dispatch event to appropriate handler
+          dispatch_event(current_msg);
+
+          current_msg.clear();
+        }
+      }
+
+      // Keep unprocessed data in buffer
+      buffer.erase(0, line_start);
+    }
+
+    // Connection ended
+    connected_.store(false);
+
+    if (!running_.load()) { break; }
+
+    // Check for read errors
+    if (result.has_read_error()) {
+      if (on_error_) { on_error_(result.read_error()); }
+    }
+
+    if (!should_reconnect(reconnect_count)) { break; }
+    wait_for_reconnect();
+    reconnect_count++;
+  }
+
+  connected_.store(false);
+}
+
+void SSEClient::dispatch_event(const SSEMessage &msg) {
+  // Check for specific event type handler first
+  auto it = event_handlers_.find(msg.event);
+  if (it != event_handlers_.end()) {
+    it->second(msg);
+    return;
+  }
+
+  // Fall back to generic message handler
+  if (on_message_) { on_message_(msg); }
+}
+
+bool SSEClient::should_reconnect(int count) const {
+  if (!running_.load()) { return false; }
+  if (max_reconnect_attempts_ == 0) { return true; } // unlimited
+  return count < max_reconnect_attempts_;
+}
+
+void SSEClient::wait_for_reconnect() {
+  // Use small increments to check running_ flag frequently
+  auto waited = 0;
+  while (running_.load() && waited < reconnect_interval_ms_) {
+    std::this_thread::sleep_for(std::chrono::milliseconds(100));
+    waited += 100;
+  }
+}
+
+} // namespace sse
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+/*
+ * TLS abstraction layer - internal function declarations
+ * These are implementation details and not part of the public API.
+ */
+namespace tls {
+
+// Client context
+ctx_t create_client_context();
+void free_context(ctx_t ctx);
+bool set_min_version(ctx_t ctx, Version version);
+bool load_ca_pem(ctx_t ctx, const char *pem, size_t len);
+bool load_ca_file(ctx_t ctx, const char *file_path);
+bool load_ca_dir(ctx_t ctx, const char *dir_path);
+bool load_system_certs(ctx_t ctx);
+bool set_client_cert_pem(ctx_t ctx, const char *cert, const char *key,
+                         const char *password);
+bool set_client_cert_file(ctx_t ctx, const char *cert_path,
+                          const char *key_path, const char *password);
+
+// Server context
+ctx_t create_server_context();
+bool set_server_cert_pem(ctx_t ctx, const char *cert, const char *key,
+                         const char *password);
+bool set_server_cert_file(ctx_t ctx, const char *cert_path,
+                          const char *key_path, const char *password);
+bool set_client_ca_file(ctx_t ctx, const char *ca_file, const char *ca_dir);
+void set_verify_client(ctx_t ctx, bool require);
+
+// Session management
+session_t create_session(ctx_t ctx, socket_t sock);
+void free_session(session_t session);
+bool set_sni(session_t session, const char *hostname);
+bool set_hostname(session_t session, const char *hostname);
+
+// Handshake (non-blocking capable)
+TlsError connect(session_t session);
+TlsError accept(session_t session);
+
+// Handshake with timeout (blocking until timeout)
+bool connect_nonblocking(session_t session, socket_t sock, time_t timeout_sec,
+                         time_t timeout_usec, TlsError *err);
+bool accept_nonblocking(session_t session, socket_t sock, time_t timeout_sec,
+                        time_t timeout_usec, TlsError *err);
+
+// I/O (non-blocking capable)
+ssize_t read(session_t session, void *buf, size_t len, TlsError &err);
+ssize_t write(session_t session, const void *buf, size_t len, TlsError &err);
+int pending(const_session_t session);
+void shutdown(session_t session, bool graceful);
+
+// Connection state
+bool is_peer_closed(session_t session, socket_t sock);
+
+// Certificate verification
+cert_t get_peer_cert(const_session_t session);
+void free_cert(cert_t cert);
+bool verify_hostname(cert_t cert, const char *hostname);
+uint64_t hostname_mismatch_code();
+long get_verify_result(const_session_t session);
+
+// Certificate introspection
+std::string get_cert_subject_cn(cert_t cert);
+std::string get_cert_issuer_name(cert_t cert);
+bool get_cert_sans(cert_t cert, std::vector<SanEntry> &sans);
+bool get_cert_validity(cert_t cert, time_t &not_before, time_t &not_after);
+std::string get_cert_serial(cert_t cert);
+bool get_cert_der(cert_t cert, std::vector<unsigned char> &der);
+const char *get_sni(const_session_t session);
+
+// CA store management
+ca_store_t create_ca_store(const char *pem, size_t len);
+void free_ca_store(ca_store_t store);
+bool set_ca_store(ctx_t ctx, ca_store_t store);
+size_t get_ca_certs(ctx_t ctx, std::vector<cert_t> &certs);
+std::vector<std::string> get_ca_names(ctx_t ctx);
+
+// Dynamic certificate update (for servers)
+bool update_server_cert(ctx_t ctx, const char *cert_pem, const char *key_pem,
+                        const char *password);
+bool update_server_client_ca(ctx_t ctx, const char *ca_pem);
+
+// Certificate verification callback
+bool set_verify_callback(ctx_t ctx, VerifyCallback callback);
+long get_verify_error(const_session_t session);
+std::string verify_error_string(long error_code);
+
+// TlsError information
+uint64_t peek_error();
+uint64_t get_error();
+std::string error_string(uint64_t code);
+
+} // namespace tls
+#endif // CPPHTTPLIB_SSL_ENABLED
+
+/*
+ * Group 1: detail namespace - Non-SSL utilities
+ */
+
 namespace detail {
 
+bool set_socket_opt_impl(socket_t sock, int level, int optname,
+                                const void *optval, socklen_t optlen) {
+  return setsockopt(sock, level, optname,
+#ifdef _WIN32
+                    reinterpret_cast<const char *>(optval),
+#else
+                    optval,
+#endif
+                    optlen) == 0;
+}
+
+bool set_socket_opt(socket_t sock, int level, int optname, int optval) {
+  return set_socket_opt_impl(sock, level, optname, &optval, sizeof(optval));
+}
+
+bool set_socket_opt_time(socket_t sock, int level, int optname,
+                                time_t sec, time_t usec) {
+#ifdef _WIN32
+  auto timeout = static_cast<uint32_t>(sec * 1000 + usec / 1000);
+#else
+  timeval timeout;
+  timeout.tv_sec = static_cast<long>(sec);
+  timeout.tv_usec = static_cast<decltype(timeout.tv_usec)>(usec);
+#endif
+  return set_socket_opt_impl(sock, level, optname, &timeout, sizeof(timeout));
+}
+
 bool is_hex(char c, int &v) {
   if (isdigit(c)) {
     v = c - '0';
@@ -167,6 +632,56 @@ size_t to_utf8(int code, char *buff) {
   return 0;
 }
 
+} // namespace detail
+
+namespace ws {
+namespace impl {
+
+bool is_valid_utf8(const std::string &s) {
+  size_t i = 0;
+  auto n = s.size();
+  while (i < n) {
+    auto c = static_cast<unsigned char>(s[i]);
+    size_t len;
+    uint32_t cp;
+    if (c < 0x80) {
+      i++;
+      continue;
+    } else if ((c & 0xE0) == 0xC0) {
+      len = 2;
+      cp = c & 0x1F;
+    } else if ((c & 0xF0) == 0xE0) {
+      len = 3;
+      cp = c & 0x0F;
+    } else if ((c & 0xF8) == 0xF0) {
+      len = 4;
+      cp = c & 0x07;
+    } else {
+      return false;
+    }
+    if (i + len > n) { return false; }
+    for (size_t j = 1; j < len; j++) {
+      auto b = static_cast<unsigned char>(s[i + j]);
+      if ((b & 0xC0) != 0x80) { return false; }
+      cp = (cp << 6) | (b & 0x3F);
+    }
+    // Overlong encoding check
+    if (len == 2 && cp < 0x80) { return false; }
+    if (len == 3 && cp < 0x800) { return false; }
+    if (len == 4 && cp < 0x10000) { return false; }
+    // Surrogate halves (U+D800..U+DFFF) and beyond U+10FFFF are invalid
+    if (cp >= 0xD800 && cp <= 0xDFFF) { return false; }
+    if (cp > 0x10FFFF) { return false; }
+    i += len;
+  }
+  return true;
+}
+
+} // namespace impl
+} // namespace ws
+
+namespace detail {
+
 // NOTE: This code came up with the following stackoverflow post:
 // https://stackoverflow.com/questions/180947/base64-decode-snippet-in-c
 std::string base64_encode(const std::string &in) {
@@ -197,6 +712,277 @@ std::string base64_encode(const std::string &in) {
   return out;
 }
 
+std::string sha1(const std::string &input) {
+  // RFC 3174 SHA-1 implementation
+  auto left_rotate = [](uint32_t x, uint32_t n) -> uint32_t {
+    return (x << n) | (x >> (32 - n));
+  };
+
+  uint32_t h0 = 0x67452301;
+  uint32_t h1 = 0xEFCDAB89;
+  uint32_t h2 = 0x98BADCFE;
+  uint32_t h3 = 0x10325476;
+  uint32_t h4 = 0xC3D2E1F0;
+
+  // Pre-processing: adding padding bits
+  std::string msg = input;
+  uint64_t original_bit_len = static_cast<uint64_t>(msg.size()) * 8;
+  msg.push_back(static_cast<char>(0x80));
+  while (msg.size() % 64 != 56) {
+    msg.push_back(0);
+  }
+
+  // Append original length in bits as 64-bit big-endian
+  for (int i = 56; i >= 0; i -= 8) {
+    msg.push_back(static_cast<char>((original_bit_len >> i) & 0xFF));
+  }
+
+  // Process each 512-bit chunk
+  for (size_t offset = 0; offset < msg.size(); offset += 64) {
+    uint32_t w[80];
+
+    for (size_t i = 0; i < 16; i++) {
+      w[i] =
+          (static_cast<uint32_t>(static_cast<uint8_t>(msg[offset + i * 4]))
+           << 24) |
+          (static_cast<uint32_t>(static_cast<uint8_t>(msg[offset + i * 4 + 1]))
+           << 16) |
+          (static_cast<uint32_t>(static_cast<uint8_t>(msg[offset + i * 4 + 2]))
+           << 8) |
+          (static_cast<uint32_t>(
+              static_cast<uint8_t>(msg[offset + i * 4 + 3])));
+    }
+
+    for (int i = 16; i < 80; i++) {
+      w[i] = left_rotate(w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16], 1);
+    }
+
+    uint32_t a = h0, b = h1, c = h2, d = h3, e = h4;
+
+    for (int i = 0; i < 80; i++) {
+      uint32_t f, k;
+      if (i < 20) {
+        f = (b & c) | ((~b) & d);
+        k = 0x5A827999;
+      } else if (i < 40) {
+        f = b ^ c ^ d;
+        k = 0x6ED9EBA1;
+      } else if (i < 60) {
+        f = (b & c) | (b & d) | (c & d);
+        k = 0x8F1BBCDC;
+      } else {
+        f = b ^ c ^ d;
+        k = 0xCA62C1D6;
+      }
+
+      uint32_t temp = left_rotate(a, 5) + f + e + k + w[i];
+      e = d;
+      d = c;
+      c = left_rotate(b, 30);
+      b = a;
+      a = temp;
+    }
+
+    h0 += a;
+    h1 += b;
+    h2 += c;
+    h3 += d;
+    h4 += e;
+  }
+
+  // Produce the final hash as a 20-byte binary string
+  std::string hash(20, '\0');
+  for (size_t i = 0; i < 4; i++) {
+    hash[i] = static_cast<char>((h0 >> (24 - i * 8)) & 0xFF);
+    hash[4 + i] = static_cast<char>((h1 >> (24 - i * 8)) & 0xFF);
+    hash[8 + i] = static_cast<char>((h2 >> (24 - i * 8)) & 0xFF);
+    hash[12 + i] = static_cast<char>((h3 >> (24 - i * 8)) & 0xFF);
+    hash[16 + i] = static_cast<char>((h4 >> (24 - i * 8)) & 0xFF);
+  }
+  return hash;
+}
+
+std::string websocket_accept_key(const std::string &client_key) {
+  const std::string magic = "258EAFA5-E914-47DA-95CA-C5AB0DC85B11";
+  return base64_encode(sha1(client_key + magic));
+}
+
+bool is_websocket_upgrade(const Request &req) {
+  if (req.method != "GET") { return false; }
+
+  // Check Upgrade: websocket (case-insensitive)
+  auto upgrade_it = req.headers.find("Upgrade");
+  if (upgrade_it == req.headers.end()) { return false; }
+  auto upgrade_val = case_ignore::to_lower(upgrade_it->second);
+  if (upgrade_val != "websocket") { return false; }
+
+  // Check Connection header contains "Upgrade"
+  auto connection_it = req.headers.find("Connection");
+  if (connection_it == req.headers.end()) { return false; }
+  auto connection_val = case_ignore::to_lower(connection_it->second);
+  if (connection_val.find("upgrade") == std::string::npos) { return false; }
+
+  // Check Sec-WebSocket-Key is a valid base64-encoded 16-byte value (24 chars)
+  // RFC 6455 Section 4.2.1
+  auto ws_key = req.get_header_value("Sec-WebSocket-Key");
+  if (ws_key.size() != 24 || ws_key[22] != '=' || ws_key[23] != '=') {
+    return false;
+  }
+  static const std::string b64chars =
+      "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
+  for (size_t i = 0; i < 22; i++) {
+    if (b64chars.find(ws_key[i]) == std::string::npos) { return false; }
+  }
+
+  // Check Sec-WebSocket-Version: 13
+  auto version = req.get_header_value("Sec-WebSocket-Version");
+  if (version != "13") { return false; }
+
+  return true;
+}
+
+bool write_websocket_frame(Stream &strm, ws::Opcode opcode,
+                                  const char *data, size_t len, bool fin,
+                                  bool mask) {
+  // First byte: FIN + opcode
+  uint8_t header[2];
+  header[0] = static_cast<uint8_t>((fin ? 0x80 : 0x00) |
+                                   (static_cast<uint8_t>(opcode) & 0x0F));
+
+  // Second byte: MASK + payload length
+  if (len < 126) {
+    header[1] = static_cast<uint8_t>(len);
+    if (mask) { header[1] |= 0x80; }
+    if (strm.write(reinterpret_cast<char *>(header), 2) < 0) { return false; }
+  } else if (len <= 0xFFFF) {
+    header[1] = 126;
+    if (mask) { header[1] |= 0x80; }
+    if (strm.write(reinterpret_cast<char *>(header), 2) < 0) { return false; }
+    uint8_t ext[2];
+    ext[0] = static_cast<uint8_t>((len >> 8) & 0xFF);
+    ext[1] = static_cast<uint8_t>(len & 0xFF);
+    if (strm.write(reinterpret_cast<char *>(ext), 2) < 0) { return false; }
+  } else {
+    header[1] = 127;
+    if (mask) { header[1] |= 0x80; }
+    if (strm.write(reinterpret_cast<char *>(header), 2) < 0) { return false; }
+    uint8_t ext[8];
+    for (int i = 7; i >= 0; i--) {
+      ext[7 - i] = static_cast<uint8_t>((len >> (i * 8)) & 0xFF);
+    }
+    if (strm.write(reinterpret_cast<char *>(ext), 8) < 0) { return false; }
+  }
+
+  if (mask) {
+    // Generate random mask key
+    thread_local std::mt19937 rng(std::random_device{}());
+    uint8_t mask_key[4];
+    auto r = rng();
+    std::memcpy(mask_key, &r, 4);
+    if (strm.write(reinterpret_cast<char *>(mask_key), 4) < 0) { return false; }
+
+    // Write masked payload in chunks
+    const size_t chunk_size = 4096;
+    std::vector<char> buf((std::min)(len, chunk_size));
+    for (size_t offset = 0; offset < len; offset += chunk_size) {
+      size_t n = (std::min)(chunk_size, len - offset);
+      for (size_t i = 0; i < n; i++) {
+        buf[i] =
+            data[offset + i] ^ static_cast<char>(mask_key[(offset + i) % 4]);
+      }
+      if (strm.write(buf.data(), n) < 0) { return false; }
+    }
+  } else {
+    if (len > 0) {
+      if (strm.write(data, len) < 0) { return false; }
+    }
+  }
+
+  return true;
+}
+
+} // namespace detail
+
+namespace ws {
+namespace impl {
+
+bool read_websocket_frame(Stream &strm, Opcode &opcode,
+                                 std::string &payload, bool &fin,
+                                 bool expect_masked, size_t max_len) {
+  // Read first 2 bytes
+  uint8_t header[2];
+  if (strm.read(reinterpret_cast<char *>(header), 2) != 2) { return false; }
+
+  fin = (header[0] & 0x80) != 0;
+
+  // RSV1, RSV2, RSV3 must be 0 when no extension is negotiated
+  if (header[0] & 0x70) { return false; }
+
+  opcode = static_cast<Opcode>(header[0] & 0x0F);
+  bool masked = (header[1] & 0x80) != 0;
+  uint64_t payload_len = header[1] & 0x7F;
+
+  // RFC 6455 Section 5.5: control frames MUST NOT be fragmented and
+  // MUST have a payload length of 125 bytes or less
+  bool is_control = (static_cast<uint8_t>(opcode) & 0x08) != 0;
+  if (is_control) {
+    if (!fin) { return false; }
+    if (payload_len > 125) { return false; }
+  }
+
+  if (masked != expect_masked) { return false; }
+
+  // Extended payload length
+  if (payload_len == 126) {
+    uint8_t ext[2];
+    if (strm.read(reinterpret_cast<char *>(ext), 2) != 2) { return false; }
+    payload_len = (static_cast<uint64_t>(ext[0]) << 8) | ext[1];
+  } else if (payload_len == 127) {
+    uint8_t ext[8];
+    if (strm.read(reinterpret_cast<char *>(ext), 8) != 8) { return false; }
+    // RFC 6455 Section 5.2: the most significant bit MUST be 0
+    if (ext[0] & 0x80) { return false; }
+    payload_len = 0;
+    for (int i = 0; i < 8; i++) {
+      payload_len = (payload_len << 8) | ext[i];
+    }
+  }
+
+  if (payload_len > max_len) { return false; }
+
+  // Read mask key if present
+  uint8_t mask_key[4] = {0};
+  if (masked) {
+    if (strm.read(reinterpret_cast<char *>(mask_key), 4) != 4) { return false; }
+  }
+
+  // Read payload
+  payload.resize(static_cast<size_t>(payload_len));
+  if (payload_len > 0) {
+    size_t total_read = 0;
+    while (total_read < payload_len) {
+      auto n = strm.read(&payload[total_read],
+                         static_cast<size_t>(payload_len - total_read));
+      if (n <= 0) { return false; }
+      total_read += static_cast<size_t>(n);
+    }
+  }
+
+  // Unmask if needed
+  if (masked) {
+    for (size_t i = 0; i < payload.size(); i++) {
+      payload[i] ^= static_cast<char>(mask_key[i % 4]);
+    }
+  }
+
+  return true;
+}
+
+} // namespace impl
+} // namespace ws
+
+namespace detail {
+
 bool is_valid_path(const std::string &path) {
   size_t level = 0;
   size_t i = 0;
@@ -755,7 +1541,7 @@ int close_socket(socket_t sock) {
 #endif
 }
 
-template <typename T> inline ssize_t handle_EINTR(T fn) {
+template <typename T> ssize_t handle_EINTR(T fn) {
   ssize_t res = 0;
   while (true) {
     res = fn();
@@ -801,78 +1587,32 @@ int poll_wrapper(struct pollfd *fds, nfds_t nfds, int timeout) {
 #endif
 }
 
-template <bool Read>
-ssize_t select_impl(socket_t sock, time_t sec, time_t usec) {
-#ifdef __APPLE__
-  if (sock >= FD_SETSIZE) { return -1; }
-
-  fd_set fds, *rfds, *wfds;
-  FD_ZERO(&fds);
-  FD_SET(sock, &fds);
-  rfds = (Read ? &fds : nullptr);
-  wfds = (Read ? nullptr : &fds);
-
-  timeval tv;
-  tv.tv_sec = static_cast<long>(sec);
-  tv.tv_usec = static_cast<decltype(tv.tv_usec)>(usec);
-
-  return handle_EINTR([&]() {
-    return select(static_cast<int>(sock + 1), rfds, wfds, nullptr, &tv);
-  });
-#else
+ssize_t select_impl(socket_t sock, short events, time_t sec,
+                           time_t usec) {
   struct pollfd pfd;
   pfd.fd = sock;
-  pfd.events = (Read ? POLLIN : POLLOUT);
+  pfd.events = events;
+  pfd.revents = 0;
 
   auto timeout = static_cast<int>(sec * 1000 + usec / 1000);
 
   return handle_EINTR([&]() { return poll_wrapper(&pfd, 1, timeout); });
-#endif
 }
 
 ssize_t select_read(socket_t sock, time_t sec, time_t usec) {
-  return select_impl<true>(sock, sec, usec);
+  return select_impl(sock, POLLIN, sec, usec);
 }
 
 ssize_t select_write(socket_t sock, time_t sec, time_t usec) {
-  return select_impl<false>(sock, sec, usec);
+  return select_impl(sock, POLLOUT, sec, usec);
 }
 
 Error wait_until_socket_is_ready(socket_t sock, time_t sec,
                                         time_t usec) {
-#ifdef __APPLE__
-  if (sock >= FD_SETSIZE) { return Error::Connection; }
-
-  fd_set fdsr, fdsw;
-  FD_ZERO(&fdsr);
-  FD_ZERO(&fdsw);
-  FD_SET(sock, &fdsr);
-  FD_SET(sock, &fdsw);
-
-  timeval tv;
-  tv.tv_sec = static_cast<long>(sec);
-  tv.tv_usec = static_cast<decltype(tv.tv_usec)>(usec);
-
-  auto ret = handle_EINTR([&]() {
-    return select(static_cast<int>(sock + 1), &fdsr, &fdsw, nullptr, &tv);
-  });
-
-  if (ret == 0) { return Error::ConnectionTimeout; }
-
-  if (ret > 0 && (FD_ISSET(sock, &fdsr) || FD_ISSET(sock, &fdsw))) {
-    auto error = 0;
-    socklen_t len = sizeof(error);
-    auto res = getsockopt(sock, SOL_SOCKET, SO_ERROR,
-                          reinterpret_cast<char *>(&error), &len);
-    auto successful = res >= 0 && !error;
-    return successful ? Error::Success : Error::Connection;
-  }
-
-  return Error::Connection;
-#else
   struct pollfd pfd_read;
   pfd_read.fd = sock;
   pfd_read.events = POLLIN | POLLOUT;
+  pfd_read.revents = 0;
 
   auto timeout = static_cast<int>(sec * 1000 + usec / 1000);
 
@@ -891,7 +1631,6 @@ Error wait_until_socket_is_ready(socket_t sock, time_t sec,
   }
 
   return Error::Connection;
-#endif
 }
 
 bool is_socket_alive(socket_t sock) {
@@ -917,12 +1656,14 @@ class SocketStream final : public Stream {
   bool is_readable() const override;
   bool wait_readable() const override;
   bool wait_writable() const override;
+  bool is_peer_alive() const override;
   ssize_t read(char *ptr, size_t size) override;
   ssize_t write(const char *ptr, size_t size) override;
   void get_remote_ip_and_port(std::string &ip, int &port) const override;
   void get_local_ip_and_port(std::string &ip, int &port) const override;
   socket_t socket() const override;
   time_t duration() const override;
+  void set_read_timeout(time_t sec, time_t usec = 0) override;
 
 private:
   socket_t sock_;
@@ -940,39 +1681,6 @@ class SocketStream final : public Stream {
   static const size_t read_buff_size_ = 1024l * 4;
 };
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-class SSLSocketStream final : public Stream {
-public:
-  SSLSocketStream(
-      socket_t sock, SSL *ssl, time_t read_timeout_sec,
-      time_t read_timeout_usec, time_t write_timeout_sec,
-      time_t write_timeout_usec, time_t max_timeout_msec = 0,
-      std::chrono::time_point<std::chrono::steady_clock> start_time =
-          (std::chrono::steady_clock::time_point::min)());
-  ~SSLSocketStream() override;
-
-  bool is_readable() const override;
-  bool wait_readable() const override;
-  bool wait_writable() const override;
-  ssize_t read(char *ptr, size_t size) override;
-  ssize_t write(const char *ptr, size_t size) override;
-  void get_remote_ip_and_port(std::string &ip, int &port) const override;
-  void get_local_ip_and_port(std::string &ip, int &port) const override;
-  socket_t socket() const override;
-  time_t duration() const override;
-
-private:
-  socket_t sock_;
-  SSL *ssl_;
-  time_t read_timeout_sec_;
-  time_t read_timeout_usec_;
-  time_t write_timeout_sec_;
-  time_t write_timeout_usec_;
-  time_t max_timeout_msec_;
-  const std::chrono::time_point<std::chrono::steady_clock> start_time_;
-};
-#endif
-
 bool keep_alive(const std::atomic<socket_t> &svr_sock, socket_t sock,
                        time_t keep_alive_timeout_sec) {
   using namespace std::chrono;
@@ -1859,22 +2567,63 @@ find_content_type(const std::string &path,
   }
 }
 
+std::string
+extract_media_type(const std::string &content_type,
+                   std::map<std::string, std::string> *params = nullptr) {
+  // Extract type/subtype from Content-Type value (RFC 2045)
+  // e.g. "application/json; charset=utf-8" -> "application/json"
+  auto media_type = content_type;
+  auto semicolon_pos = media_type.find(';');
+  if (semicolon_pos != std::string::npos) {
+    auto param_str = media_type.substr(semicolon_pos + 1);
+    media_type = media_type.substr(0, semicolon_pos);
+
+    if (params) {
+      // Parse parameters: key=value pairs separated by ';'
+      split(param_str.data(), param_str.data() + param_str.size(), ';',
+            [&](const char *b, const char *e) {
+              std::string key;
+              std::string val;
+              split(b, e, '=', [&](const char *b2, const char *e2) {
+                if (key.empty()) {
+                  key.assign(b2, e2);
+                } else {
+                  val.assign(b2, e2);
+                }
+              });
+              if (!key.empty()) {
+                params->emplace(trim_copy(key), trim_double_quotes_copy(val));
+              }
+            });
+    }
+  }
+
+  // Trim whitespace from media type
+  return trim_copy(media_type);
+}
+
 bool can_compress_content_type(const std::string &content_type) {
   using udl::operator""_t;
 
-  auto tag = str2tag(content_type);
+  auto mime_type = extract_media_type(content_type);
+  auto tag = str2tag(mime_type);
 
   switch (tag) {
   case "image/svg+xml"_t:
   case "application/javascript"_t:
+  case "application/x-javascript"_t:
   case "application/json"_t:
+  case "application/ld+json"_t:
   case "application/xml"_t:
-  case "application/protobuf"_t:
-  case "application/xhtml+xml"_t: return true;
+  case "application/xhtml+xml"_t:
+  case "application/rss+xml"_t:
+  case "application/atom+xml"_t:
+  case "application/xslt+xml"_t:
+  case "application/protobuf"_t: return true;
 
   case "text/event-stream"_t: return false;
 
-  default: return !content_type.rfind("text/", 0);
+  default: return !mime_type.rfind("text/", 0);
   }
 }
 
@@ -2270,14 +3019,63 @@ bool read_headers(Stream &strm, Headers &headers) {
   return true;
 }
 
-bool read_content_with_length(Stream &strm, size_t len,
-                                     DownloadProgress progress,
-                                     ContentReceiverWithProgress out) {
+bool read_websocket_upgrade_response(Stream &strm,
+                                            const std::string &expected_accept,
+                                            std::string &selected_subprotocol) {
+  // Read status line
+  const auto bufsiz = 2048;
+  char buf[bufsiz];
+  stream_line_reader line_reader(strm, buf, bufsiz);
+  if (!line_reader.getline()) { return false; }
+
+  // Check for "HTTP/1.1 101"
+  auto line = std::string(line_reader.ptr(), line_reader.size());
+  if (line.find("HTTP/1.1 101") == std::string::npos) { return false; }
+
+  // Parse headers using existing read_headers
+  Headers headers;
+  if (!read_headers(strm, headers)) { return false; }
+
+  // Verify Upgrade: websocket (case-insensitive)
+  auto upgrade_it = headers.find("Upgrade");
+  if (upgrade_it == headers.end()) { return false; }
+  auto upgrade_val = case_ignore::to_lower(upgrade_it->second);
+  if (upgrade_val != "websocket") { return false; }
+
+  // Verify Connection header contains "Upgrade" (case-insensitive)
+  auto connection_it = headers.find("Connection");
+  if (connection_it == headers.end()) { return false; }
+  auto connection_val = case_ignore::to_lower(connection_it->second);
+  if (connection_val.find("upgrade") == std::string::npos) { return false; }
+
+  // Verify Sec-WebSocket-Accept header value
+  auto it = headers.find("Sec-WebSocket-Accept");
+  if (it == headers.end() || it->second != expected_accept) { return false; }
+
+  // Extract negotiated subprotocol
+  auto proto_it = headers.find("Sec-WebSocket-Protocol");
+  if (proto_it != headers.end()) { selected_subprotocol = proto_it->second; }
+
+  return true;
+}
+
+enum class ReadContentResult {
+  Success,         // Successfully read the content
+  PayloadTooLarge, // The content exceeds the specified payload limit
+  Error            // An error occurred while reading the content
+};
+
+ReadContentResult read_content_with_length(
+    Stream &strm, size_t len, DownloadProgress progress,
+    ContentReceiverWithProgress out,
+    size_t payload_max_length = (std::numeric_limits<size_t>::max)()) {
   char buf[CPPHTTPLIB_RECV_BUFSIZ];
 
   detail::BodyReader br;
   br.stream = &strm;
+  br.has_content_length = true;
   br.content_length = len;
+  br.payload_max_length = payload_max_length;
   br.chunked = false;
   br.bytes_read = 0;
   br.last_error = Error::Success;
@@ -2287,36 +3085,27 @@ bool read_content_with_length(Stream &strm, size_t len,
     auto read_len = static_cast<size_t>(len - r);
     auto to_read = (std::min)(read_len, CPPHTTPLIB_RECV_BUFSIZ);
     auto n = detail::read_body_content(&strm, br, buf, to_read);
-    if (n <= 0) { return false; }
+    if (n <= 0) {
+      // Check if it was a payload size error
+      if (br.last_error == Error::ExceedMaxPayloadSize) {
+        return ReadContentResult::PayloadTooLarge;
+      }
+      return ReadContentResult::Error;
+    }
 
-    if (!out(buf, static_cast<size_t>(n), r, len)) { return false; }
+    if (!out(buf, static_cast<size_t>(n), r, len)) {
+      return ReadContentResult::Error;
+    }
     r += static_cast<size_t>(n);
 
     if (progress) {
-      if (!progress(r, len)) { return false; }
+      if (!progress(r, len)) { return ReadContentResult::Error; }
     }
   }
 
-  return true;
-}
-
-void skip_content_with_length(Stream &strm, size_t len) {
-  char buf[CPPHTTPLIB_RECV_BUFSIZ];
-  size_t r = 0;
-  while (r < len) {
-    auto read_len = static_cast<size_t>(len - r);
-    auto n = strm.read(buf, (std::min)(read_len, CPPHTTPLIB_RECV_BUFSIZ));
-    if (n <= 0) { return; }
-    r += static_cast<size_t>(n);
-  }
+  return ReadContentResult::Success;
 }
 
-enum class ReadContentResult {
-  Success,         // Successfully read the content
-  PayloadTooLarge, // The content exceeds the specified payload limit
-  Error            // An error occurred while reading the content
-};
-
 ReadContentResult
 read_content_without_length(Stream &strm, size_t payload_max_length,
                             ContentReceiverWithProgress out) {
@@ -2385,7 +3174,8 @@ bool is_chunked_transfer_encoding(const Headers &headers) {
 template <typename T, typename U>
 bool prepare_content_receiver(T &x, int &status,
                               ContentReceiverWithProgress receiver,
-                              bool decompress, U callback) {
+                              bool decompress, size_t payload_max_length,
+                              bool &exceed_payload_max_length, U callback) {
   if (decompress) {
     std::string encoding = x.get_header_value("Content-Encoding");
     std::unique_ptr<decompressor> decompressor;
@@ -2401,12 +3191,22 @@ bool prepare_content_receiver(T &x, int &status,
 
     if (decompressor) {
       if (decompressor->is_valid()) {
+        size_t decompressed_size = 0;
         ContentReceiverWithProgress out = [&](const char *buf, size_t n,
                                               size_t off, size_t len) {
-          return decompressor->decompress(buf, n,
-                                          [&](const char *buf2, size_t n2) {
-                                            return receiver(buf2, n2, off, len);
-                                          });
+          return decompressor->decompress(
+              buf, n, [&](const char *buf2, size_t n2) {
+                // Guard against zip-bomb: check
+                // decompressed size against limit.
+                if (payload_max_length > 0 &&
+                    (decompressed_size >= payload_max_length ||
+                     n2 > payload_max_length - decompressed_size)) {
+                  exceed_payload_max_length = true;
+                  return false;
+                }
+                decompressed_size += n2;
+                return receiver(buf2, n2, off, len);
+              });
         };
         return callback(std::move(out));
       } else {
@@ -2427,11 +3227,14 @@ template <typename T>
 bool read_content(Stream &strm, T &x, size_t payload_max_length, int &status,
                   DownloadProgress progress,
                   ContentReceiverWithProgress receiver, bool decompress) {
+  bool exceed_payload_max_length = false;
   return prepare_content_receiver(
-      x, status, std::move(receiver), decompress,
-      [&](const ContentReceiverWithProgress &out) {
+      x, status, std::move(receiver), decompress, payload_max_length,
+      exceed_payload_max_length, [&](const ContentReceiverWithProgress &out) {
         auto ret = true;
-        auto exceed_payload_max_length = false;
+        // Note: exceed_payload_max_length may also be set by the decompressor
+        // wrapper in prepare_content_receiver when the decompressed payload
+        // size exceeds the limit.
 
         if (is_chunked_transfer_encoding(x.headers)) {
           auto result = read_content_chunked(strm, x, payload_max_length, out);
@@ -2462,12 +3265,13 @@ bool read_content(Stream &strm, T &x, size_t payload_max_length, int &status,
 
           if (is_invalid_value) {
             ret = false;
-          } else if (len > payload_max_length) {
-            exceed_payload_max_length = true;
-            skip_content_with_length(strm, len);
-            ret = false;
           } else if (len > 0) {
-            ret = read_content_with_length(strm, len, std::move(progress), out);
+            auto result = read_content_with_length(
+                strm, len, std::move(progress), out, payload_max_length);
+            ret = (result == ReadContentResult::Success);
+            if (result == ReadContentResult::PayloadTooLarge) {
+              exceed_payload_max_length = true;
+            }
           }
         }
 
@@ -2557,10 +3361,10 @@ bool write_content_with_progress(Stream &strm,
     return ok;
   };
 
-  data_sink.is_writable = [&]() -> bool { return strm.wait_writable(); };
+  data_sink.is_writable = [&]() -> bool { return strm.is_peer_alive(); };
 
   while (offset < end_offset && !is_shutting_down()) {
-    if (!strm.wait_writable()) {
+    if (!strm.wait_writable() || !strm.is_peer_alive()) {
       error = Error::Write;
       return false;
     } else if (!content_provider(offset, end_offset - offset, data_sink)) {
@@ -2572,6 +3376,11 @@ bool write_content_with_progress(Stream &strm,
     }
   }
 
+  if (offset < end_offset) { // exited due to is_shutting_down(), not completion
+    error = Error::Write;
+    return false;
+  }
+
   error = Error::Success;
   return true;
 }
@@ -2611,12 +3420,12 @@ write_content_without_length(Stream &strm,
     return ok;
   };
 
-  data_sink.is_writable = [&]() -> bool { return strm.wait_writable(); };
+  data_sink.is_writable = [&]() -> bool { return strm.is_peer_alive(); };
 
   data_sink.done = [&](void) { data_available = false; };
 
   while (data_available && !is_shutting_down()) {
-    if (!strm.wait_writable()) {
+    if (!strm.wait_writable() || !strm.is_peer_alive()) {
       return false;
     } else if (!content_provider(offset, 0, data_sink)) {
       return false;
@@ -2624,7 +3433,8 @@ write_content_without_length(Stream &strm,
       return false;
     }
   }
-  return true;
+  return !data_available; // true only if done() was called, false if shutting
+                          // down
 }
 
 template <typename T, typename U>
@@ -2660,7 +3470,7 @@ write_content_chunked(Stream &strm, const ContentProvider &content_provider,
     return ok;
   };
 
-  data_sink.is_writable = [&]() -> bool { return strm.wait_writable(); };
+  data_sink.is_writable = [&]() -> bool { return strm.is_peer_alive(); };
 
   auto done_with_trailer = [&](const Headers *trailer) {
     if (!ok) { return; }
@@ -2710,7 +3520,7 @@ write_content_chunked(Stream &strm, const ContentProvider &content_provider,
   };
 
   while (data_available && !is_shutting_down()) {
-    if (!strm.wait_writable()) {
+    if (!strm.wait_writable() || !strm.is_peer_alive()) {
       error = Error::Write;
       return false;
     } else if (!content_provider(offset, 0, data_sink)) {
@@ -2722,6 +3532,11 @@ write_content_chunked(Stream &strm, const ContentProvider &content_provider,
     }
   }
 
+  if (data_available) { // exited due to is_shutting_down(), not done()
+    error = Error::Write;
+    return false;
+  }
+
   error = Error::Success;
   return true;
 }
@@ -2835,12 +3650,11 @@ std::string normalize_query_string(const std::string &query) {
 
 bool parse_multipart_boundary(const std::string &content_type,
                                      std::string &boundary) {
-  auto boundary_keyword = "boundary=";
-  auto pos = content_type.find(boundary_keyword);
-  if (pos == std::string::npos) { return false; }
-  auto end = content_type.find(';', pos);
-  auto beg = pos + strlen(boundary_keyword);
-  boundary = trim_double_quotes_copy(content_type.substr(beg, end - beg));
+  std::map<std::string, std::string> params;
+  extract_media_type(content_type, &params);
+  auto it = params.find("boundary");
+  if (it == params.end()) { return false; }
+  boundary = it->second;
   return !boundary.empty();
 }
 
@@ -3008,11 +3822,7 @@ bool parse_accept_header(const std::string &s,
     }
 
     // Remove additional parameters from media type
-    auto param_pos = accept_entry.media_type.find(';');
-    if (param_pos != std::string::npos) {
-      accept_entry.media_type =
-          trim_copy(accept_entry.media_type.substr(0, param_pos));
-    }
+    accept_entry.media_type = extract_media_type(accept_entry.media_type);
 
     // Basic validation of media type format
     if (accept_entry.media_type.empty()) {
@@ -3121,14 +3931,10 @@ class FormDataParser {
             file_.content_type =
                 trim_copy(header.substr(str_len(header_content_type)));
           } else {
-            thread_local const std::regex re_content_disposition(
-                R"~(^Content-Disposition:\s*form-data;\s*(.*)$)~",
-                std::regex_constants::icase);
-
-            std::smatch m;
-            if (std::regex_match(header, m, re_content_disposition)) {
+            std::string disposition_params;
+            if (parse_content_disposition(header, disposition_params)) {
               Params params;
-              parse_disposition_params(m[1], params);
+              parse_disposition_params(disposition_params, params);
 
               auto it = params.find("name");
               if (it != params.end()) {
@@ -3143,13 +3949,14 @@ class FormDataParser {
 
               it = params.find("filename*");
               if (it != params.end()) {
-                // Only allow UTF-8 encoding...
-                thread_local const std::regex re_rfc5987_encoding(
-                    R"~(^UTF-8''(.+?)$)~", std::regex_constants::icase);
-
-                std::smatch m2;
-                if (std::regex_match(it->second, m2, re_rfc5987_encoding)) {
-                  file_.filename = decode_path_component(m2[1]); // override...
+                // RFC 5987: only UTF-8 encoding is allowed
+                const auto &val = it->second;
+                constexpr const char utf8_prefix[] = "UTF-8''";
+                constexpr size_t prefix_len = str_len(utf8_prefix);
+                if (val.size() > prefix_len &&
+                    start_with_case_ignore(val, utf8_prefix)) {
+                  file_.filename = decode_path_component(
+                      val.substr(prefix_len)); // override...
                 } else {
                   is_valid_ = false;
                   return false;
@@ -3217,17 +4024,48 @@ class FormDataParser {
     file_.headers.clear();
   }
 
-  bool start_with_case_ignore(const std::string &a, const char *b) const {
+  bool start_with_case_ignore(const std::string &a, const char *b,
+                              size_t offset = 0) const {
     const auto b_len = strlen(b);
-    if (a.size() < b_len) { return false; }
+    if (a.size() < offset + b_len) { return false; }
     for (size_t i = 0; i < b_len; i++) {
-      if (case_ignore::to_lower(a[i]) != case_ignore::to_lower(b[i])) {
+      if (case_ignore::to_lower(a[offset + i]) != case_ignore::to_lower(b[i])) {
         return false;
       }
     }
     return true;
   }
 
+  // Parses "Content-Disposition: form-data; <params>" without std::regex.
+  // Returns true if header matches, with the params portion in `params_out`.
+  bool parse_content_disposition(const std::string &header,
+                                 std::string &params_out) const {
+    constexpr const char prefix[] = "Content-Disposition:";
+    constexpr size_t prefix_len = str_len(prefix);
+
+    if (!start_with_case_ignore(header, prefix)) { return false; }
+
+    // Skip whitespace after "Content-Disposition:"
+    auto pos = prefix_len;
+    while (pos < header.size() && (header[pos] == ' ' || header[pos] == '\t')) {
+      pos++;
+    }
+
+    // Match "form-data;" (case-insensitive)
+    constexpr const char form_data[] = "form-data;";
+    constexpr size_t form_data_len = str_len(form_data);
+    if (!start_with_case_ignore(header, form_data, pos)) { return false; }
+    pos += form_data_len;
+
+    // Skip whitespace after "form-data;"
+    while (pos < header.size() && (header[pos] == ' ' || header[pos] == '\t')) {
+      pos++;
+    }
+
+    params_out = header.substr(pos);
+    return true;
+  }
+
   const std::string dash_ = "--";
   const std::string crlf_ = "\r\n";
   std::string boundary_;
@@ -3388,6 +4226,73 @@ serialize_multipart_formdata(const UploadFormDataItems &items,
   return body;
 }
 
+size_t get_multipart_content_length(const UploadFormDataItems &items,
+                                           const std::string &boundary) {
+  size_t total = 0;
+  for (const auto &item : items) {
+    total += serialize_multipart_formdata_item_begin(item, boundary).size();
+    total += item.content.size();
+    total += serialize_multipart_formdata_item_end().size();
+  }
+  total += serialize_multipart_formdata_finish(boundary).size();
+  return total;
+}
+
+struct MultipartSegment {
+  const char *data;
+  size_t size;
+};
+
+// NOTE: items must outlive the returned ContentProvider
+//       (safe for synchronous use inside Post/Put/Patch)
+ContentProvider
+make_multipart_content_provider(const UploadFormDataItems &items,
+                                const std::string &boundary) {
+  // Own the per-item header strings and the finish string
+  std::vector<std::string> owned;
+  owned.reserve(items.size() + 1);
+  for (const auto &item : items)
+    owned.push_back(serialize_multipart_formdata_item_begin(item, boundary));
+  owned.push_back(serialize_multipart_formdata_finish(boundary));
+
+  // Flat segment list: [header, content, "\r\n"] * N + [finish]
+  std::vector<MultipartSegment> segs;
+  segs.reserve(items.size() * 3 + 1);
+  static const char crlf[] = "\r\n";
+  for (size_t i = 0; i < items.size(); i++) {
+    segs.push_back({owned[i].data(), owned[i].size()});
+    segs.push_back({items[i].content.data(), items[i].content.size()});
+    segs.push_back({crlf, 2});
+  }
+  segs.push_back({owned.back().data(), owned.back().size()});
+
+  struct MultipartState {
+    std::vector<std::string> owned;
+    std::vector<MultipartSegment> segs;
+  };
+  auto state = std::make_shared<MultipartState>();
+  state->owned = std::move(owned);
+  // `segs` holds raw pointers into owned strings; std::string move preserves
+  // the data pointer, so these pointers remain valid after the move above.
+  state->segs = std::move(segs);
+
+  return [state](size_t offset, size_t length, DataSink &sink) -> bool {
+    size_t pos = 0;
+    for (const auto &seg : state->segs) {
+      // Loop invariant: pos <= offset (proven by advancing pos only when
+      // offset - pos >= seg.size, i.e., the segment doesn't contain offset)
+      if (seg.size > 0 && offset - pos < seg.size) {
+        size_t seg_offset = offset - pos;
+        size_t available = seg.size - seg_offset;
+        size_t to_write = (std::min)(available, length);
+        return sink.write(seg.data + seg_offset, to_write);
+      }
+      pos += seg.size;
+    }
+    return true; // past end (shouldn't be reached when content_length is exact)
+  };
+}
+
 void coalesce_ranges(Ranges &ranges, size_t content_length) {
   if (ranges.size() <= 1) return;
 
@@ -3519,7 +4424,8 @@ get_range_offset_and_length(Range r, size_t content_length) {
   assert(r.first <= r.second &&
          r.second < static_cast<ssize_t>(content_length));
   (void)(content_length);
-  return std::make_pair(r.first, static_cast<size_t>(r.second - r.first) + 1);
+  return std::make_pair(static_cast<size_t>(r.first),
+                        static_cast<size_t>(r.second - r.first) + 1);
 }
 
 std::string make_content_range_header_field(
@@ -3636,356 +4542,641 @@ bool expect_content(const Request &req) {
   return false;
 }
 
-bool has_crlf(const std::string &s) {
-  auto p = s.c_str();
-  while (*p) {
-    if (*p == '\r' || *p == '\n') { return true; }
-    p++;
+#ifdef _WIN32
+class WSInit {
+public:
+  WSInit() {
+    WSADATA wsaData;
+    if (WSAStartup(0x0002, &wsaData) == 0) is_valid_ = true;
   }
-  return false;
-}
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-std::string message_digest(const std::string &s, const EVP_MD *algo) {
-  auto context = std::unique_ptr<EVP_MD_CTX, decltype(&EVP_MD_CTX_free)>(
-      EVP_MD_CTX_new(), EVP_MD_CTX_free);
+  ~WSInit() {
+    if (is_valid_) WSACleanup();
+  }
 
-  unsigned int hash_length = 0;
-  unsigned char hash[EVP_MAX_MD_SIZE];
+  bool is_valid_ = false;
+};
 
-  EVP_DigestInit_ex(context.get(), algo, nullptr);
-  EVP_DigestUpdate(context.get(), s.c_str(), s.size());
-  EVP_DigestFinal_ex(context.get(), hash, &hash_length);
+static WSInit wsinit_;
+#endif
 
-  std::stringstream ss;
-  for (auto i = 0u; i < hash_length; ++i) {
-    ss << std::hex << std::setw(2) << std::setfill('0')
-       << static_cast<unsigned int>(hash[i]);
+bool parse_www_authenticate(const Response &res,
+                                   std::map<std::string, std::string> &auth,
+                                   bool is_proxy) {
+  auto auth_key = is_proxy ? "Proxy-Authenticate" : "WWW-Authenticate";
+  if (res.has_header(auth_key)) {
+    thread_local auto re =
+        std::regex(R"~((?:(?:,\s*)?(.+?)=(?:"(.*?)"|([^,]*))))~");
+    auto s = res.get_header_value(auth_key);
+    auto pos = s.find(' ');
+    if (pos != std::string::npos) {
+      auto type = s.substr(0, pos);
+      if (type == "Basic") {
+        return false;
+      } else if (type == "Digest") {
+        s = s.substr(pos + 1);
+        auto beg = std::sregex_iterator(s.begin(), s.end(), re);
+        for (auto i = beg; i != std::sregex_iterator(); ++i) {
+          const auto &m = *i;
+          auto key = s.substr(static_cast<size_t>(m.position(1)),
+                              static_cast<size_t>(m.length(1)));
+          auto val = m.length(2) > 0
+                         ? s.substr(static_cast<size_t>(m.position(2)),
+                                    static_cast<size_t>(m.length(2)))
+                         : s.substr(static_cast<size_t>(m.position(3)),
+                                    static_cast<size_t>(m.length(3)));
+          auth[std::move(key)] = std::move(val);
+        }
+        return true;
+      }
+    }
   }
-
-  return ss.str();
+  return false;
 }
 
-std::string MD5(const std::string &s) {
-  return message_digest(s, EVP_md5());
-}
+class ContentProviderAdapter {
+public:
+  explicit ContentProviderAdapter(
+      ContentProviderWithoutLength &&content_provider)
+      : content_provider_(std::move(content_provider)) {}
 
-std::string SHA_256(const std::string &s) {
-  return message_digest(s, EVP_sha256());
-}
+  bool operator()(size_t offset, size_t, DataSink &sink) {
+    return content_provider_(offset, sink);
+  }
 
-std::string SHA_512(const std::string &s) {
-  return message_digest(s, EVP_sha512());
+private:
+  ContentProviderWithoutLength content_provider_;
+};
+
+// NOTE: https://www.rfc-editor.org/rfc/rfc9110#section-5
+namespace fields {
+
+bool is_token_char(char c) {
+  return std::isalnum(c) || c == '!' || c == '#' || c == '$' || c == '%' ||
+         c == '&' || c == '\'' || c == '*' || c == '+' || c == '-' ||
+         c == '.' || c == '^' || c == '_' || c == '`' || c == '|' || c == '~';
 }
 
-std::pair<std::string, std::string> make_digest_authentication_header(
-    const Request &req, const std::map<std::string, std::string> &auth,
-    size_t cnonce_count, const std::string &cnonce, const std::string &username,
-    const std::string &password, bool is_proxy = false) {
-  std::string nc;
-  {
-    std::stringstream ss;
-    ss << std::setfill('0') << std::setw(8) << std::hex << cnonce_count;
-    nc = ss.str();
+bool is_token(const std::string &s) {
+  if (s.empty()) { return false; }
+  for (auto c : s) {
+    if (!is_token_char(c)) { return false; }
   }
+  return true;
+}
 
-  std::string qop;
-  if (auth.find("qop") != auth.end()) {
-    qop = auth.at("qop");
-    if (qop.find("auth-int") != std::string::npos) {
-      qop = "auth-int";
-    } else if (qop.find("auth") != std::string::npos) {
-      qop = "auth";
-    } else {
-      qop.clear();
-    }
-  }
+bool is_field_name(const std::string &s) { return is_token(s); }
 
-  std::string algo = "MD5";
-  if (auth.find("algorithm") != auth.end()) { algo = auth.at("algorithm"); }
+bool is_vchar(char c) { return c >= 33 && c <= 126; }
 
-  std::string response;
-  {
-    auto H = algo == "SHA-256"   ? detail::SHA_256
-             : algo == "SHA-512" ? detail::SHA_512
-                                 : detail::MD5;
+bool is_obs_text(char c) { return 128 <= static_cast<unsigned char>(c); }
 
-    auto A1 = username + ":" + auth.at("realm") + ":" + password;
+bool is_field_vchar(char c) { return is_vchar(c) || is_obs_text(c); }
 
-    auto A2 = req.method + ":" + req.path;
-    if (qop == "auth-int") { A2 += ":" + H(req.body); }
+bool is_field_content(const std::string &s) {
+  if (s.empty()) { return true; }
 
-    if (qop.empty()) {
-      response = H(H(A1) + ":" + auth.at("nonce") + ":" + H(A2));
-    } else {
-      response = H(H(A1) + ":" + auth.at("nonce") + ":" + nc + ":" + cnonce +
-                   ":" + qop + ":" + H(A2));
-    }
-  }
+  if (s.size() == 1) {
+    return is_field_vchar(s[0]);
+  } else if (s.size() == 2) {
+    return is_field_vchar(s[0]) && is_field_vchar(s[1]);
+  } else {
+    size_t i = 0;
 
-  auto opaque = (auth.find("opaque") != auth.end()) ? auth.at("opaque") : "";
+    if (!is_field_vchar(s[i])) { return false; }
+    i++;
 
-  auto field = "Digest username=\"" + username + "\", realm=\"" +
-               auth.at("realm") + "\", nonce=\"" + auth.at("nonce") +
-               "\", uri=\"" + req.path + "\", algorithm=" + algo +
-               (qop.empty() ? ", response=\""
-                            : ", qop=" + qop + ", nc=" + nc + ", cnonce=\"" +
-                                  cnonce + "\", response=\"") +
-               response + "\"" +
-               (opaque.empty() ? "" : ", opaque=\"" + opaque + "\"");
+    while (i < s.size() - 1) {
+      auto c = s[i++];
+      if (c == ' ' || c == '\t' || is_field_vchar(c)) {
+      } else {
+        return false;
+      }
+    }
 
-  auto key = is_proxy ? "Proxy-Authorization" : "Authorization";
-  return std::make_pair(key, field);
+    return is_field_vchar(s[i]);
+  }
 }
 
-bool is_ssl_peer_could_be_closed(SSL *ssl, socket_t sock) {
-  detail::set_nonblocking(sock, true);
-  auto se = detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+bool is_field_value(const std::string &s) { return is_field_content(s); }
 
-  char buf[1];
-  return !SSL_peek(ssl, buf, 1) &&
-         SSL_get_error(ssl, 0) == SSL_ERROR_ZERO_RETURN;
-}
+} // namespace fields
 
-#ifdef _WIN32
-// NOTE: This code came up with the following stackoverflow post:
-// https://stackoverflow.com/questions/9507184/can-openssl-on-windows-use-the-system-certificate-store
-bool load_system_certs_on_windows(X509_STORE *store) {
-  auto hStore = CertOpenSystemStoreW((HCRYPTPROV_LEGACY)NULL, L"ROOT");
-  if (!hStore) { return false; }
-
-  auto result = false;
-  PCCERT_CONTEXT pContext = NULL;
-  while ((pContext = CertEnumCertificatesInStore(hStore, pContext)) !=
-         nullptr) {
-    auto encoded_cert =
-        static_cast<const unsigned char *>(pContext->pbCertEncoded);
+bool perform_websocket_handshake(Stream &strm, const std::string &host,
+                                        int port, const std::string &path,
+                                        const Headers &headers,
+                                        std::string &selected_subprotocol) {
+  // Validate path and host
+  if (!fields::is_field_value(path) || !fields::is_field_value(host)) {
+    return false;
+  }
 
-    auto x509 = d2i_X509(NULL, &encoded_cert, pContext->cbCertEncoded);
-    if (x509) {
-      X509_STORE_add_cert(store, x509);
-      X509_free(x509);
-      result = true;
+  // Validate user-provided headers
+  for (const auto &h : headers) {
+    if (!fields::is_field_name(h.first) || !fields::is_field_value(h.second)) {
+      return false;
     }
   }
 
-  CertFreeCertificateContext(pContext);
-  CertCloseStore(hStore, 0);
-
-  return result;
-}
-#elif defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN) && TARGET_OS_MAC
-template <typename T>
-using CFObjectPtr =
-    std::unique_ptr<typename std::remove_pointer<T>::type, void (*)(CFTypeRef)>;
-
-void cf_object_ptr_deleter(CFTypeRef obj) {
-  if (obj) { CFRelease(obj); }
-}
-
-bool retrieve_certs_from_keychain(CFObjectPtr<CFArrayRef> &certs) {
-  CFStringRef keys[] = {kSecClass, kSecMatchLimit, kSecReturnRef};
-  CFTypeRef values[] = {kSecClassCertificate, kSecMatchLimitAll,
-                        kCFBooleanTrue};
-
-  CFObjectPtr<CFDictionaryRef> query(
-      CFDictionaryCreate(nullptr, reinterpret_cast<const void **>(keys), values,
-                         sizeof(keys) / sizeof(keys[0]),
-                         &kCFTypeDictionaryKeyCallBacks,
-                         &kCFTypeDictionaryValueCallBacks),
-      cf_object_ptr_deleter);
-
-  if (!query) { return false; }
-
-  CFTypeRef security_items = nullptr;
-  if (SecItemCopyMatching(query.get(), &security_items) != errSecSuccess ||
-      CFArrayGetTypeID() != CFGetTypeID(security_items)) {
-    return false;
+  // Generate random Sec-WebSocket-Key
+  thread_local std::mt19937 rng(std::random_device{}());
+  std::string key_bytes(16, '\0');
+  for (size_t i = 0; i < 16; i += 4) {
+    auto r = rng();
+    std::memcpy(&key_bytes[i], &r, (std::min)(size_t(4), size_t(16 - i)));
   }
+  auto client_key = base64_encode(key_bytes);
 
-  certs.reset(reinterpret_cast<CFArrayRef>(security_items));
-  return true;
-}
-
-bool retrieve_root_certs_from_keychain(CFObjectPtr<CFArrayRef> &certs) {
-  CFArrayRef root_security_items = nullptr;
-  if (SecTrustCopyAnchorCertificates(&root_security_items) != errSecSuccess) {
-    return false;
+  // Build upgrade request
+  std::string req_str = "GET " + path + " HTTP/1.1\r\n";
+  req_str += "Host: " + host + ":" + std::to_string(port) + "\r\n";
+  req_str += "Upgrade: websocket\r\n";
+  req_str += "Connection: Upgrade\r\n";
+  req_str += "Sec-WebSocket-Key: " + client_key + "\r\n";
+  req_str += "Sec-WebSocket-Version: 13\r\n";
+  for (const auto &h : headers) {
+    req_str += h.first + ": " + h.second + "\r\n";
   }
+  req_str += "\r\n";
 
-  certs.reset(root_security_items);
-  return true;
+  if (strm.write(req_str.data(), req_str.size()) < 0) { return false; }
+
+  // Verify 101 response and Sec-WebSocket-Accept header
+  auto expected_accept = websocket_accept_key(client_key);
+  return read_websocket_upgrade_response(strm, expected_accept,
+                                         selected_subprotocol);
 }
 
-bool add_certs_to_x509_store(CFArrayRef certs, X509_STORE *store) {
-  auto result = false;
-  for (auto i = 0; i < CFArrayGetCount(certs); ++i) {
-    const auto cert = reinterpret_cast<const __SecCertificate *>(
-        CFArrayGetValueAtIndex(certs, i));
+} // namespace detail
 
-    if (SecCertificateGetTypeID() != CFGetTypeID(cert)) { continue; }
+/*
+ * Group 2: detail namespace - SSL common utilities
+ */
 
-    CFDataRef cert_data = nullptr;
-    if (SecItemExport(cert, kSecFormatX509Cert, 0, nullptr, &cert_data) !=
-        errSecSuccess) {
-      continue;
-    }
+#ifdef CPPHTTPLIB_SSL_ENABLED
+namespace detail {
 
-    CFObjectPtr<CFDataRef> cert_data_ptr(cert_data, cf_object_ptr_deleter);
+class SSLSocketStream final : public Stream {
+public:
+  SSLSocketStream(
+      socket_t sock, tls::session_t session, time_t read_timeout_sec,
+      time_t read_timeout_usec, time_t write_timeout_sec,
+      time_t write_timeout_usec, time_t max_timeout_msec = 0,
+      std::chrono::time_point<std::chrono::steady_clock> start_time =
+          (std::chrono::steady_clock::time_point::min)());
+  ~SSLSocketStream() override;
 
-    auto encoded_cert = static_cast<const unsigned char *>(
-        CFDataGetBytePtr(cert_data_ptr.get()));
+  bool is_readable() const override;
+  bool wait_readable() const override;
+  bool wait_writable() const override;
+  bool is_peer_alive() const override;
+  ssize_t read(char *ptr, size_t size) override;
+  ssize_t write(const char *ptr, size_t size) override;
+  void get_remote_ip_and_port(std::string &ip, int &port) const override;
+  void get_local_ip_and_port(std::string &ip, int &port) const override;
+  socket_t socket() const override;
+  time_t duration() const override;
+  void set_read_timeout(time_t sec, time_t usec = 0) override;
 
-    auto x509 =
-        d2i_X509(NULL, &encoded_cert, CFDataGetLength(cert_data_ptr.get()));
+private:
+  socket_t sock_;
+  tls::session_t session_;
+  time_t read_timeout_sec_;
+  time_t read_timeout_usec_;
+  time_t write_timeout_sec_;
+  time_t write_timeout_usec_;
+  time_t max_timeout_msec_;
+  const std::chrono::time_point<std::chrono::steady_clock> start_time_;
+};
 
-    if (x509) {
-      X509_STORE_add_cert(store, x509);
-      X509_free(x509);
-      result = true;
-    }
-  }
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+std::string message_digest(const std::string &s, const EVP_MD *algo) {
+  auto context = std::unique_ptr<EVP_MD_CTX, decltype(&EVP_MD_CTX_free)>(
+      EVP_MD_CTX_new(), EVP_MD_CTX_free);
 
-  return result;
-}
+  unsigned int hash_length = 0;
+  unsigned char hash[EVP_MAX_MD_SIZE];
 
-bool load_system_certs_on_macos(X509_STORE *store) {
-  auto result = false;
-  CFObjectPtr<CFArrayRef> certs(nullptr, cf_object_ptr_deleter);
-  if (retrieve_certs_from_keychain(certs) && certs) {
-    result = add_certs_to_x509_store(certs.get(), store);
-  }
+  EVP_DigestInit_ex(context.get(), algo, nullptr);
+  EVP_DigestUpdate(context.get(), s.c_str(), s.size());
+  EVP_DigestFinal_ex(context.get(), hash, &hash_length);
 
-  if (retrieve_root_certs_from_keychain(certs) && certs) {
-    result = add_certs_to_x509_store(certs.get(), store) || result;
+  std::stringstream ss;
+  for (auto i = 0u; i < hash_length; ++i) {
+    ss << std::hex << std::setw(2) << std::setfill('0')
+       << static_cast<unsigned int>(hash[i]);
   }
 
-  return result;
+  return ss.str();
 }
-#endif // _WIN32
-#endif // CPPHTTPLIB_OPENSSL_SUPPORT
 
-#ifdef _WIN32
-class WSInit {
-public:
-  WSInit() {
-    WSADATA wsaData;
-    if (WSAStartup(0x0002, &wsaData) == 0) is_valid_ = true;
-  }
+std::string MD5(const std::string &s) {
+  return message_digest(s, EVP_md5());
+}
 
-  ~WSInit() {
-    if (is_valid_) WSACleanup();
-  }
+std::string SHA_256(const std::string &s) {
+  return message_digest(s, EVP_sha256());
+}
 
-  bool is_valid_ = false;
-};
+std::string SHA_512(const std::string &s) {
+  return message_digest(s, EVP_sha512());
+}
+#elif defined(CPPHTTPLIB_MBEDTLS_SUPPORT)
+namespace {
+template <size_t N>
+std::string hash_to_hex(const unsigned char (&hash)[N]) {
+  std::stringstream ss;
+  for (size_t i = 0; i < N; ++i) {
+    ss << std::hex << std::setw(2) << std::setfill('0')
+       << static_cast<unsigned int>(hash[i]);
+  }
+  return ss.str();
+}
+} // namespace
 
-static WSInit wsinit_;
+std::string MD5(const std::string &s) {
+  unsigned char hash[16];
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  mbedtls_md5(reinterpret_cast<const unsigned char *>(s.c_str()), s.size(),
+              hash);
+#else
+  mbedtls_md5_ret(reinterpret_cast<const unsigned char *>(s.c_str()), s.size(),
+                  hash);
 #endif
-
-bool parse_www_authenticate(const Response &res,
-                                   std::map<std::string, std::string> &auth,
-                                   bool is_proxy) {
-  auto auth_key = is_proxy ? "Proxy-Authenticate" : "WWW-Authenticate";
-  if (res.has_header(auth_key)) {
-    thread_local auto re =
-        std::regex(R"~((?:(?:,\s*)?(.+?)=(?:"(.*?)"|([^,]*))))~");
-    auto s = res.get_header_value(auth_key);
-    auto pos = s.find(' ');
-    if (pos != std::string::npos) {
-      auto type = s.substr(0, pos);
-      if (type == "Basic") {
-        return false;
-      } else if (type == "Digest") {
-        s = s.substr(pos + 1);
-        auto beg = std::sregex_iterator(s.begin(), s.end(), re);
-        for (auto i = beg; i != std::sregex_iterator(); ++i) {
-          const auto &m = *i;
-          auto key = s.substr(static_cast<size_t>(m.position(1)),
-                              static_cast<size_t>(m.length(1)));
-          auto val = m.length(2) > 0
-                         ? s.substr(static_cast<size_t>(m.position(2)),
-                                    static_cast<size_t>(m.length(2)))
-                         : s.substr(static_cast<size_t>(m.position(3)),
-                                    static_cast<size_t>(m.length(3)));
-          auth[std::move(key)] = std::move(val);
-        }
-        return true;
-      }
-    }
-  }
-  return false;
+  return hash_to_hex(hash);
 }
 
-class ContentProviderAdapter {
-public:
-  explicit ContentProviderAdapter(
-      ContentProviderWithoutLength &&content_provider)
-      : content_provider_(std::move(content_provider)) {}
+std::string SHA_256(const std::string &s) {
+  unsigned char hash[32];
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  mbedtls_sha256(reinterpret_cast<const unsigned char *>(s.c_str()), s.size(),
+                 hash, 0);
+#else
+  mbedtls_sha256_ret(reinterpret_cast<const unsigned char *>(s.c_str()),
+                     s.size(), hash, 0);
+#endif
+  return hash_to_hex(hash);
+}
 
-  bool operator()(size_t offset, size_t, DataSink &sink) {
-    return content_provider_(offset, sink);
+std::string SHA_512(const std::string &s) {
+  unsigned char hash[64];
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  mbedtls_sha512(reinterpret_cast<const unsigned char *>(s.c_str()), s.size(),
+                 hash, 0);
+#else
+  mbedtls_sha512_ret(reinterpret_cast<const unsigned char *>(s.c_str()),
+                     s.size(), hash, 0);
+#endif
+  return hash_to_hex(hash);
+}
+#elif defined(CPPHTTPLIB_WOLFSSL_SUPPORT)
+namespace {
+template <size_t N>
+std::string hash_to_hex(const unsigned char (&hash)[N]) {
+  std::stringstream ss;
+  for (size_t i = 0; i < N; ++i) {
+    ss << std::hex << std::setw(2) << std::setfill('0')
+       << static_cast<unsigned int>(hash[i]);
   }
+  return ss.str();
+}
+} // namespace
 
-private:
-  ContentProviderWithoutLength content_provider_;
-};
+std::string MD5(const std::string &s) {
+  unsigned char hash[WC_MD5_DIGEST_SIZE];
+  wc_Md5Hash(reinterpret_cast<const unsigned char *>(s.c_str()),
+             static_cast<word32>(s.size()), hash);
+  return hash_to_hex(hash);
+}
 
-// NOTE: https://www.rfc-editor.org/rfc/rfc9110#section-5
-namespace fields {
+std::string SHA_256(const std::string &s) {
+  unsigned char hash[WC_SHA256_DIGEST_SIZE];
+  wc_Sha256Hash(reinterpret_cast<const unsigned char *>(s.c_str()),
+                static_cast<word32>(s.size()), hash);
+  return hash_to_hex(hash);
+}
 
-bool is_token_char(char c) {
-  return std::isalnum(c) || c == '!' || c == '#' || c == '$' || c == '%' ||
-         c == '&' || c == '\'' || c == '*' || c == '+' || c == '-' ||
-         c == '.' || c == '^' || c == '_' || c == '`' || c == '|' || c == '~';
+std::string SHA_512(const std::string &s) {
+  unsigned char hash[WC_SHA512_DIGEST_SIZE];
+  wc_Sha512Hash(reinterpret_cast<const unsigned char *>(s.c_str()),
+                static_cast<word32>(s.size()), hash);
+  return hash_to_hex(hash);
 }
+#endif
 
-bool is_token(const std::string &s) {
-  if (s.empty()) { return false; }
-  for (auto c : s) {
-    if (!is_token_char(c)) { return false; }
-  }
-  return true;
+bool is_ip_address(const std::string &host) {
+  struct in_addr addr4;
+  struct in6_addr addr6;
+  return inet_pton(AF_INET, host.c_str(), &addr4) == 1 ||
+         inet_pton(AF_INET6, host.c_str(), &addr6) == 1;
 }
 
-bool is_field_name(const std::string &s) { return is_token(s); }
+template <typename T>
+bool process_server_socket_ssl(
+    const std::atomic<socket_t> &svr_sock, tls::session_t session,
+    socket_t sock, size_t keep_alive_max_count, time_t keep_alive_timeout_sec,
+    time_t read_timeout_sec, time_t read_timeout_usec, time_t write_timeout_sec,
+    time_t write_timeout_usec, T callback) {
+  return process_server_socket_core(
+      svr_sock, sock, keep_alive_max_count, keep_alive_timeout_sec,
+      [&](bool close_connection, bool &connection_closed) {
+        SSLSocketStream strm(sock, session, read_timeout_sec, read_timeout_usec,
+                             write_timeout_sec, write_timeout_usec);
+        return callback(strm, close_connection, connection_closed);
+      });
+}
 
-bool is_vchar(char c) { return c >= 33 && c <= 126; }
+template <typename T>
+bool process_client_socket_ssl(
+    tls::session_t session, socket_t sock, time_t read_timeout_sec,
+    time_t read_timeout_usec, time_t write_timeout_sec,
+    time_t write_timeout_usec, time_t max_timeout_msec,
+    std::chrono::time_point<std::chrono::steady_clock> start_time, T callback) {
+  SSLSocketStream strm(sock, session, read_timeout_sec, read_timeout_usec,
+                       write_timeout_sec, write_timeout_usec, max_timeout_msec,
+                       start_time);
+  return callback(strm);
+}
 
-bool is_obs_text(char c) { return 128 <= static_cast<unsigned char>(c); }
+std::pair<std::string, std::string> make_digest_authentication_header(
+    const Request &req, const std::map<std::string, std::string> &auth,
+    size_t cnonce_count, const std::string &cnonce, const std::string &username,
+    const std::string &password, bool is_proxy = false) {
+  std::string nc;
+  {
+    std::stringstream ss;
+    ss << std::setfill('0') << std::setw(8) << std::hex << cnonce_count;
+    nc = ss.str();
+  }
 
-bool is_field_vchar(char c) { return is_vchar(c) || is_obs_text(c); }
+  std::string qop;
+  if (auth.find("qop") != auth.end()) {
+    qop = auth.at("qop");
+    if (qop.find("auth-int") != std::string::npos) {
+      qop = "auth-int";
+    } else if (qop.find("auth") != std::string::npos) {
+      qop = "auth";
+    } else {
+      qop.clear();
+    }
+  }
 
-bool is_field_content(const std::string &s) {
-  if (s.empty()) { return true; }
+  std::string algo = "MD5";
+  if (auth.find("algorithm") != auth.end()) { algo = auth.at("algorithm"); }
 
-  if (s.size() == 1) {
-    return is_field_vchar(s[0]);
-  } else if (s.size() == 2) {
-    return is_field_vchar(s[0]) && is_field_vchar(s[1]);
-  } else {
-    size_t i = 0;
+  std::string response;
+  {
+    auto H = algo == "SHA-256"   ? detail::SHA_256
+             : algo == "SHA-512" ? detail::SHA_512
+                                 : detail::MD5;
 
-    if (!is_field_vchar(s[i])) { return false; }
-    i++;
+    auto A1 = username + ":" + auth.at("realm") + ":" + password;
 
-    while (i < s.size() - 1) {
-      auto c = s[i++];
-      if (c == ' ' || c == '\t' || is_field_vchar(c)) {
-      } else {
-        return false;
+    auto A2 = req.method + ":" + req.path;
+    if (qop == "auth-int") { A2 += ":" + H(req.body); }
+
+    if (qop.empty()) {
+      response = H(H(A1) + ":" + auth.at("nonce") + ":" + H(A2));
+    } else {
+      response = H(H(A1) + ":" + auth.at("nonce") + ":" + nc + ":" + cnonce +
+                   ":" + qop + ":" + H(A2));
+    }
+  }
+
+  auto opaque = (auth.find("opaque") != auth.end()) ? auth.at("opaque") : "";
+
+  auto field = "Digest username=\"" + username + "\", realm=\"" +
+               auth.at("realm") + "\", nonce=\"" + auth.at("nonce") +
+               "\", uri=\"" + req.path + "\", algorithm=" + algo +
+               (qop.empty() ? ", response=\""
+                            : ", qop=" + qop + ", nc=" + nc + ", cnonce=\"" +
+                                  cnonce + "\", response=\"") +
+               response + "\"" +
+               (opaque.empty() ? "" : ", opaque=\"" + opaque + "\"");
+
+  auto key = is_proxy ? "Proxy-Authorization" : "Authorization";
+  return std::make_pair(key, field);
+}
+
+bool match_hostname(const std::string &pattern,
+                           const std::string &hostname) {
+  // Exact match (case-insensitive)
+  if (detail::case_ignore::equal(hostname, pattern)) { return true; }
+
+  // Split both pattern and hostname into components by '.'
+  std::vector<std::string> pattern_components;
+  if (!pattern.empty()) {
+    split(pattern.data(), pattern.data() + pattern.size(), '.',
+          [&](const char *b, const char *e) {
+            pattern_components.emplace_back(b, e);
+          });
+  }
+
+  std::vector<std::string> host_components;
+  if (!hostname.empty()) {
+    split(hostname.data(), hostname.data() + hostname.size(), '.',
+          [&](const char *b, const char *e) {
+            host_components.emplace_back(b, e);
+          });
+  }
+
+  // Component count must match
+  if (host_components.size() != pattern_components.size()) { return false; }
+
+  // Compare each component with wildcard support
+  // Supports: "*" (full wildcard), "prefix*" (partial wildcard)
+  // https://bugs.launchpad.net/ubuntu/+source/firefox-3.0/+bug/376484
+  auto itr = pattern_components.begin();
+  for (const auto &h : host_components) {
+    auto &p = *itr;
+    if (!detail::case_ignore::equal(p, h) && p != "*") {
+      bool partial_match = false;
+      if (!p.empty() && p[p.size() - 1] == '*') {
+        const auto prefix_length = p.size() - 1;
+        if (prefix_length == 0) {
+          partial_match = true;
+        } else if (h.size() >= prefix_length) {
+          partial_match =
+              std::equal(p.begin(),
+                         p.begin() + static_cast<std::string::difference_type>(
+                                         prefix_length),
+                         h.begin(), [](const char ca, const char cb) {
+                           return detail::case_ignore::to_lower(ca) ==
+                                  detail::case_ignore::to_lower(cb);
+                         });
+        }
       }
+      if (!partial_match) { return false; }
     }
+    ++itr;
+  }
 
-    return is_field_vchar(s[i]);
+  return true;
+}
+
+#ifdef _WIN32
+// Verify certificate using Windows CertGetCertificateChain API.
+// This provides real-time certificate validation with Windows Update
+// integration, independent of the TLS backend (OpenSSL or MbedTLS).
+bool
+verify_cert_with_windows_schannel(const std::vector<unsigned char> &der_cert,
+                                  const std::string &hostname,
+                                  bool verify_hostname, uint64_t &out_error) {
+  if (der_cert.empty()) { return false; }
+
+  out_error = 0;
+
+  // Create Windows certificate context from DER data
+  auto cert_context = CertCreateCertificateContext(
+      X509_ASN_ENCODING | PKCS_7_ASN_ENCODING, der_cert.data(),
+      static_cast<DWORD>(der_cert.size()));
+
+  if (!cert_context) {
+    out_error = GetLastError();
+    return false;
+  }
+
+  auto cert_guard =
+      scope_exit([&] { CertFreeCertificateContext(cert_context); });
+
+  // Setup chain parameters
+  CERT_CHAIN_PARA chain_para = {};
+  chain_para.cbSize = sizeof(chain_para);
+
+  // Build certificate chain with revocation checking
+  PCCERT_CHAIN_CONTEXT chain_context = nullptr;
+  auto chain_result = CertGetCertificateChain(
+      nullptr, cert_context, nullptr, cert_context->hCertStore, &chain_para,
+      CERT_CHAIN_CACHE_END_CERT | CERT_CHAIN_REVOCATION_CHECK_END_CERT |
+          CERT_CHAIN_REVOCATION_ACCUMULATIVE_TIMEOUT,
+      nullptr, &chain_context);
+
+  if (!chain_result || !chain_context) {
+    out_error = GetLastError();
+    return false;
+  }
+
+  auto chain_guard =
+      scope_exit([&] { CertFreeCertificateChain(chain_context); });
+
+  // Check if chain has errors
+  if (chain_context->TrustStatus.dwErrorStatus != CERT_TRUST_NO_ERROR) {
+    out_error = chain_context->TrustStatus.dwErrorStatus;
+    return false;
   }
+
+  // Verify SSL policy
+  SSL_EXTRA_CERT_CHAIN_POLICY_PARA extra_policy_para = {};
+  extra_policy_para.cbSize = sizeof(extra_policy_para);
+#ifdef AUTHTYPE_SERVER
+  extra_policy_para.dwAuthType = AUTHTYPE_SERVER;
+#endif
+
+  std::wstring whost;
+  if (verify_hostname) {
+    whost = u8string_to_wstring(hostname.c_str());
+    extra_policy_para.pwszServerName = const_cast<wchar_t *>(whost.c_str());
+  }
+
+  CERT_CHAIN_POLICY_PARA policy_para = {};
+  policy_para.cbSize = sizeof(policy_para);
+#ifdef CERT_CHAIN_POLICY_IGNORE_ALL_REV_UNKNOWN_FLAGS
+  policy_para.dwFlags = CERT_CHAIN_POLICY_IGNORE_ALL_REV_UNKNOWN_FLAGS;
+#else
+  policy_para.dwFlags = 0;
+#endif
+  policy_para.pvExtraPolicyPara = &extra_policy_para;
+
+  CERT_CHAIN_POLICY_STATUS policy_status = {};
+  policy_status.cbSize = sizeof(policy_status);
+
+  if (!CertVerifyCertificateChainPolicy(CERT_CHAIN_POLICY_SSL, chain_context,
+                                        &policy_para, &policy_status)) {
+    out_error = GetLastError();
+    return false;
+  }
+
+  if (policy_status.dwError != 0) {
+    out_error = policy_status.dwError;
+    return false;
+  }
+
+  return true;
 }
+#endif // _WIN32
 
-bool is_field_value(const std::string &s) { return is_field_content(s); }
+bool setup_client_tls_session(const std::string &host, tls::ctx_t &ctx,
+                                     tls::session_t &session, socket_t sock,
+                                     bool server_certificate_verification,
+                                     const std::string &ca_cert_file_path,
+                                     tls::ca_store_t ca_cert_store,
+                                     time_t timeout_sec, time_t timeout_usec) {
+  using namespace tls;
 
-} // namespace fields
+  ctx = create_client_context();
+  if (!ctx) { return false; }
+
+  if (server_certificate_verification) {
+    if (!ca_cert_file_path.empty()) {
+      load_ca_file(ctx, ca_cert_file_path.c_str());
+    }
+    if (ca_cert_store) { set_ca_store(ctx, ca_cert_store); }
+    load_system_certs(ctx);
+  }
+
+  bool is_ip = is_ip_address(host);
+
+#ifdef CPPHTTPLIB_MBEDTLS_SUPPORT
+  if (is_ip && server_certificate_verification) {
+    set_verify_client(ctx, false);
+  } else {
+    set_verify_client(ctx, server_certificate_verification);
+  }
+#endif
+
+  session = create_session(ctx, sock);
+  if (!session) { return false; }
+
+  // RFC 6066: SNI must not be set for IP addresses
+  if (!is_ip) { set_sni(session, host.c_str()); }
+  if (server_certificate_verification) { set_hostname(session, host.c_str()); }
+
+  if (!connect_nonblocking(session, sock, timeout_sec, timeout_usec, nullptr)) {
+    return false;
+  }
+
+  if (server_certificate_verification) {
+    if (get_verify_result(session) != 0) { return false; }
+  }
+
+  return true;
+}
 
 } // namespace detail
+#endif // CPPHTTPLIB_SSL_ENABLED
+
+/*
+ * Group 3: httplib namespace - Non-SSL public API implementations
+ */
+
+void default_socket_options(socket_t sock) {
+  detail::set_socket_opt(sock, SOL_SOCKET,
+#ifdef SO_REUSEPORT
+                         SO_REUSEPORT,
+#else
+                         SO_REUSEADDR,
+#endif
+                         1);
+}
+
+std::string get_bearer_token_auth(const Request &req) {
+  if (req.has_header("Authorization")) {
+    constexpr auto bearer_header_prefix_len = detail::str_len("Bearer ");
+    return req.get_header_value("Authorization")
+        .substr(bearer_header_prefix_len);
+  }
+  return "";
+}
 
 const char *status_message(int status) {
   switch (status) {
@@ -4426,6 +5617,11 @@ make_bearer_token_authentication_header(const std::string &token,
 }
 
 // Request implementation
+size_t Request::get_header_value_u64(const std::string &key, size_t def,
+                                            size_t id) const {
+  return detail::get_header_value_u64(headers, key, def, id);
+}
+
 bool Request::has_header(const std::string &key) const {
   return detail::has_header(headers, key);
 }
@@ -4486,7 +5682,7 @@ size_t Request::get_param_value_count(const std::string &key) const {
 
 bool Request::is_multipart_form_data() const {
   const auto &content_type = get_header_value("Content-Type");
-  return !content_type.rfind("multipart/form-data", 0);
+  return detail::extract_media_type(content_type) == "multipart/form-data";
 }
 
 // Multipart FormData implementation
@@ -4547,6 +5743,11 @@ size_t MultipartFormData::get_file_count(const std::string &key) const {
 }
 
 // Response implementation
+size_t Response::get_header_value_u64(const std::string &key, size_t def,
+                                             size_t id) const {
+  return detail::get_header_value_u64(headers, key, def, id);
+}
+
 bool Response::has_header(const std::string &key) const {
   return headers.find(key) != headers.end();
 }
@@ -4662,6 +5863,12 @@ void Response::set_file_content(const std::string &path) {
 }
 
 // Result implementation
+size_t Result::get_request_header_value_u64(const std::string &key,
+                                                   size_t def,
+                                                   size_t id) const {
+  return detail::get_header_value_u64(request_headers_, key, def, id);
+}
+
 bool Result::has_request_header(const std::string &key) const {
   return request_headers_.find(key) != request_headers_.end();
 }
@@ -4697,13 +5904,16 @@ ssize_t detail::BodyReader::read(char *buf, size_t len) {
 
   if (!chunked) {
     // Content-Length based reading
-    if (bytes_read >= content_length) {
+    if (has_content_length && bytes_read >= content_length) {
       eof = true;
       return 0;
     }
 
-    auto remaining = content_length - bytes_read;
-    auto to_read = (std::min)(len, remaining);
+    auto to_read = len;
+    if (has_content_length) {
+      auto remaining = content_length - bytes_read;
+      to_read = (std::min)(len, remaining);
+    }
     auto n = stream->read(buf, to_read);
 
     if (n < 0) {
@@ -4721,7 +5931,12 @@ ssize_t detail::BodyReader::read(char *buf, size_t len) {
     }
 
     bytes_read += static_cast<size_t>(n);
-    if (bytes_read >= content_length) { eof = true; }
+    if (has_content_length && bytes_read >= content_length) { eof = true; }
+    if (payload_max_length > 0 && bytes_read > payload_max_length) {
+      last_error = Error::ExceedMaxPayloadSize;
+      eof = true;
+      return -1;
+    }
     return n;
   }
 
@@ -4745,9 +5960,150 @@ ssize_t detail::BodyReader::read(char *buf, size_t len) {
   }
 
   bytes_read += static_cast<size_t>(n);
+  if (payload_max_length > 0 && bytes_read > payload_max_length) {
+    last_error = Error::ExceedMaxPayloadSize;
+    eof = true;
+    return -1;
+  }
   return n;
 }
 
+// ThreadPool implementation
+ThreadPool::ThreadPool(size_t n, size_t max_n, size_t mqr)
+    : base_thread_count_(n), max_queued_requests_(mqr), idle_thread_count_(0),
+      shutdown_(false) {
+#ifndef CPPHTTPLIB_NO_EXCEPTIONS
+  if (max_n != 0 && max_n < n) {
+    std::string msg = "max_threads must be >= base_threads";
+    throw std::invalid_argument(msg);
+  }
+#endif
+  max_thread_count_ = max_n == 0 ? n : max_n;
+  threads_.reserve(base_thread_count_);
+  for (size_t i = 0; i < base_thread_count_; i++) {
+    threads_.emplace_back(std::thread([this]() { worker(false); }));
+  }
+}
+
+bool ThreadPool::enqueue(std::function<void()> fn) {
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    if (shutdown_) { return false; }
+    if (max_queued_requests_ > 0 && jobs_.size() >= max_queued_requests_) {
+      return false;
+    }
+    jobs_.push_back(std::move(fn));
+
+    // Spawn a dynamic thread if no idle threads and under max
+    if (idle_thread_count_ == 0 &&
+        threads_.size() + dynamic_threads_.size() < max_thread_count_) {
+      cleanup_finished_threads();
+      dynamic_threads_.emplace_back(std::thread([this]() { worker(true); }));
+    }
+  }
+
+  cond_.notify_one();
+  return true;
+}
+
+void ThreadPool::shutdown() {
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    shutdown_ = true;
+  }
+
+  cond_.notify_all();
+
+  for (auto &t : threads_) {
+    if (t.joinable()) { t.join(); }
+  }
+
+  // Move dynamic_threads_ to a local list under the lock to avoid racing
+  // with worker threads that call move_to_finished() concurrently.
+  std::list<std::thread> remaining_dynamic;
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    remaining_dynamic = std::move(dynamic_threads_);
+  }
+  for (auto &t : remaining_dynamic) {
+    if (t.joinable()) { t.join(); }
+  }
+
+  std::unique_lock<std::mutex> lock(mutex_);
+  cleanup_finished_threads();
+}
+
+void ThreadPool::move_to_finished(std::thread::id id) {
+  // Must be called with mutex_ held
+  for (auto it = dynamic_threads_.begin(); it != dynamic_threads_.end(); ++it) {
+    if (it->get_id() == id) {
+      finished_threads_.push_back(std::move(*it));
+      dynamic_threads_.erase(it);
+      return;
+    }
+  }
+}
+
+void ThreadPool::cleanup_finished_threads() {
+  // Must be called with mutex_ held
+  for (auto &t : finished_threads_) {
+    if (t.joinable()) { t.join(); }
+  }
+  finished_threads_.clear();
+}
+
+void ThreadPool::worker(bool is_dynamic) {
+  for (;;) {
+    std::function<void()> fn;
+    {
+      std::unique_lock<std::mutex> lock(mutex_);
+      idle_thread_count_++;
+
+      if (is_dynamic) {
+        auto has_work = cond_.wait_for(
+            lock, std::chrono::seconds(CPPHTTPLIB_THREAD_POOL_IDLE_TIMEOUT),
+            [&] { return !jobs_.empty() || shutdown_; });
+        if (!has_work) {
+          // Timed out with no work - exit this dynamic thread
+          idle_thread_count_--;
+          move_to_finished(std::this_thread::get_id());
+          break;
+        }
+      } else {
+        cond_.wait(lock, [&] { return !jobs_.empty() || shutdown_; });
+      }
+
+      idle_thread_count_--;
+
+      if (shutdown_ && jobs_.empty()) { break; }
+
+      fn = std::move(jobs_.front());
+      jobs_.pop_front();
+    }
+
+    assert(true == static_cast<bool>(fn));
+    fn();
+
+    // Dynamic thread: exit if queue is empty after task completion
+    if (is_dynamic) {
+      std::unique_lock<std::mutex> lock(mutex_);
+      if (jobs_.empty()) {
+        move_to_finished(std::this_thread::get_id());
+        break;
+      }
+    }
+  }
+
+#if defined(CPPHTTPLIB_OPENSSL_SUPPORT) && !defined(OPENSSL_IS_BORINGSSL) &&   \
+    !defined(LIBRESSL_VERSION_NUMBER)
+  OPENSSL_thread_stop();
+#endif
+}
+
+/*
+ * Group 1 (continued): detail namespace - Stream implementations
+ */
+
 namespace detail {
 
 void calc_actual_timeout(time_t max_timeout_msec, time_t duration_msec,
@@ -4798,8 +6154,11 @@ bool SocketStream::wait_readable() const {
 }
 
 bool SocketStream::wait_writable() const {
-  return select_write(sock_, write_timeout_sec_, write_timeout_usec_) > 0 &&
-         is_socket_alive(sock_);
+  return select_write(sock_, write_timeout_sec_, write_timeout_usec_) > 0;
+}
+
+bool SocketStream::is_peer_alive() const {
+  return detail::is_socket_alive(sock_);
 }
 
 ssize_t SocketStream::read(char *ptr, size_t size) {
@@ -4893,6 +6252,11 @@ time_t SocketStream::duration() const {
       .count();
 }
 
+void SocketStream::set_read_timeout(time_t sec, time_t usec) {
+  read_timeout_sec_ = sec;
+  read_timeout_usec_ = usec;
+}
+
 // Buffer stream implementation
 bool BufferStream::is_readable() const { return true; }
 
@@ -5076,23 +6440,183 @@ bool check_and_write_headers(Stream &strm, Headers &headers,
 
 } // namespace detail
 
-// HTTP server implementation
-Server::Server()
-    : new_task_queue(
-          [] { return new ThreadPool(CPPHTTPLIB_THREAD_POOL_COUNT); }) {
-#ifndef _WIN32
-  signal(SIGPIPE, SIG_IGN);
-#endif
-}
+/*
+ * Group 2 (continued): detail namespace - SSLSocketStream implementation
+ */
 
-Server::~Server() = default;
+#ifdef CPPHTTPLIB_SSL_ENABLED
+namespace detail {
 
-std::unique_ptr<detail::MatcherBase>
-Server::make_matcher(const std::string &pattern) {
-  if (pattern.find("/:") != std::string::npos) {
-    return detail::make_unique<detail::PathParamsMatcher>(pattern);
-  } else {
-    return detail::make_unique<detail::RegexMatcher>(pattern);
+// SSL socket stream implementation
+SSLSocketStream::SSLSocketStream(
+    socket_t sock, tls::session_t session, time_t read_timeout_sec,
+    time_t read_timeout_usec, time_t write_timeout_sec,
+    time_t write_timeout_usec, time_t max_timeout_msec,
+    std::chrono::time_point<std::chrono::steady_clock> start_time)
+    : sock_(sock), session_(session), read_timeout_sec_(read_timeout_sec),
+      read_timeout_usec_(read_timeout_usec),
+      write_timeout_sec_(write_timeout_sec),
+      write_timeout_usec_(write_timeout_usec),
+      max_timeout_msec_(max_timeout_msec), start_time_(start_time) {
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+  // Clear AUTO_RETRY for proper non-blocking I/O timeout handling
+  // Note: create_session() also clears this, but SSLClient currently
+  // uses ssl_new() which does not. Until full TLS API migration is complete,
+  // we need to ensure AUTO_RETRY is cleared here regardless of how the
+  // SSL session was created.
+  SSL_clear_mode(static_cast<SSL *>(session), SSL_MODE_AUTO_RETRY);
+#endif
+}
+
+SSLSocketStream::~SSLSocketStream() = default;
+
+bool SSLSocketStream::is_readable() const {
+  return tls::pending(session_) > 0;
+}
+
+bool SSLSocketStream::wait_readable() const {
+  if (max_timeout_msec_ <= 0) {
+    return select_read(sock_, read_timeout_sec_, read_timeout_usec_) > 0;
+  }
+
+  time_t read_timeout_sec;
+  time_t read_timeout_usec;
+  calc_actual_timeout(max_timeout_msec_, duration(), read_timeout_sec_,
+                      read_timeout_usec_, read_timeout_sec, read_timeout_usec);
+
+  return select_read(sock_, read_timeout_sec, read_timeout_usec) > 0;
+}
+
+bool SSLSocketStream::wait_writable() const {
+  return select_write(sock_, write_timeout_sec_, write_timeout_usec_) > 0 &&
+         !tls::is_peer_closed(session_, sock_);
+}
+
+bool SSLSocketStream::is_peer_alive() const {
+  return !tls::is_peer_closed(session_, sock_);
+}
+
+ssize_t SSLSocketStream::read(char *ptr, size_t size) {
+  if (tls::pending(session_) > 0) {
+    tls::TlsError err;
+    auto ret = tls::read(session_, ptr, size, err);
+    if (ret == 0 || err.code == tls::ErrorCode::PeerClosed) {
+      error_ = Error::ConnectionClosed;
+    }
+    return ret;
+  } else if (wait_readable()) {
+    tls::TlsError err;
+    auto ret = tls::read(session_, ptr, size, err);
+    if (ret < 0) {
+      auto n = 1000;
+#ifdef _WIN32
+      while (--n >= 0 && (err.code == tls::ErrorCode::WantRead ||
+                          (err.code == tls::ErrorCode::SyscallError &&
+                           WSAGetLastError() == WSAETIMEDOUT))) {
+#else
+      while (--n >= 0 && err.code == tls::ErrorCode::WantRead) {
+#endif
+        if (tls::pending(session_) > 0) {
+          return tls::read(session_, ptr, size, err);
+        } else if (wait_readable()) {
+          std::this_thread::sleep_for(std::chrono::microseconds{10});
+          ret = tls::read(session_, ptr, size, err);
+          if (ret >= 0) { return ret; }
+        } else {
+          break;
+        }
+      }
+      assert(ret < 0);
+    } else if (ret == 0 || err.code == tls::ErrorCode::PeerClosed) {
+      error_ = Error::ConnectionClosed;
+    }
+    return ret;
+  } else {
+    error_ = Error::Timeout;
+    return -1;
+  }
+}
+
+ssize_t SSLSocketStream::write(const char *ptr, size_t size) {
+  if (wait_writable()) {
+    auto handle_size =
+        std::min<size_t>(size, (std::numeric_limits<int>::max)());
+
+    tls::TlsError err;
+    auto ret = tls::write(session_, ptr, handle_size, err);
+    if (ret < 0) {
+      auto n = 1000;
+#ifdef _WIN32
+      while (--n >= 0 && (err.code == tls::ErrorCode::WantWrite ||
+                          (err.code == tls::ErrorCode::SyscallError &&
+                           WSAGetLastError() == WSAETIMEDOUT))) {
+#else
+      while (--n >= 0 && err.code == tls::ErrorCode::WantWrite) {
+#endif
+        if (wait_writable()) {
+          std::this_thread::sleep_for(std::chrono::microseconds{10});
+          ret = tls::write(session_, ptr, handle_size, err);
+          if (ret >= 0) { return ret; }
+        } else {
+          break;
+        }
+      }
+      assert(ret < 0);
+    }
+    return ret;
+  }
+  return -1;
+}
+
+void SSLSocketStream::get_remote_ip_and_port(std::string &ip,
+                                                    int &port) const {
+  detail::get_remote_ip_and_port(sock_, ip, port);
+}
+
+void SSLSocketStream::get_local_ip_and_port(std::string &ip,
+                                                   int &port) const {
+  detail::get_local_ip_and_port(sock_, ip, port);
+}
+
+socket_t SSLSocketStream::socket() const { return sock_; }
+
+time_t SSLSocketStream::duration() const {
+  return std::chrono::duration_cast<std::chrono::milliseconds>(
+             std::chrono::steady_clock::now() - start_time_)
+      .count();
+}
+
+void SSLSocketStream::set_read_timeout(time_t sec, time_t usec) {
+  read_timeout_sec_ = sec;
+  read_timeout_usec_ = usec;
+}
+
+} // namespace detail
+#endif // CPPHTTPLIB_SSL_ENABLED
+
+/*
+ * Group 4: Server implementation
+ */
+
+// HTTP server implementation
+Server::Server()
+    : new_task_queue([] {
+        return new ThreadPool(CPPHTTPLIB_THREAD_POOL_COUNT,
+                              CPPHTTPLIB_THREAD_POOL_MAX_COUNT);
+      }) {
+#ifndef _WIN32
+  signal(SIGPIPE, SIG_IGN);
+#endif
+}
+
+Server::~Server() = default;
+
+std::unique_ptr<detail::MatcherBase>
+Server::make_matcher(const std::string &pattern) {
+  if (pattern.find("/:") != std::string::npos) {
+    return detail::make_unique<detail::PathParamsMatcher>(pattern);
+  } else {
+    return detail::make_unique<detail::RegexMatcher>(pattern);
   }
 }
 
@@ -5154,6 +6678,21 @@ Server &Server::Options(const std::string &pattern, Handler handler) {
   return *this;
 }
 
+Server &Server::WebSocket(const std::string &pattern,
+                                 WebSocketHandler handler) {
+  websocket_handlers_.push_back(
+      {make_matcher(pattern), std::move(handler), nullptr});
+  return *this;
+}
+
+Server &Server::WebSocket(const std::string &pattern,
+                                 WebSocketHandler handler,
+                                 SubProtocolSelector sub_protocol_selector) {
+  websocket_handlers_.push_back({make_matcher(pattern), std::move(handler),
+                                 std::move(sub_protocol_selector)});
+  return *this;
+}
+
 bool Server::set_base_dir(const std::string &dir,
                                  const std::string &mount_point) {
   return set_mount_point(mount_point, dir);
@@ -5478,35 +7017,33 @@ bool Server::write_response_core(Stream &strm, bool close_connection,
   if (post_routing_handler_) { post_routing_handler_(req, res); }
 
   // Response line and headers
-  {
-    detail::BufferStream bstrm;
-    if (!detail::write_response_line(bstrm, res.status)) { return false; }
-    if (header_writer_(bstrm, res.headers) <= 0) { return false; }
+  detail::BufferStream bstrm;
+  if (!detail::write_response_line(bstrm, res.status)) { return false; }
+  if (header_writer_(bstrm, res.headers) <= 0) { return false; }
 
-    // Flush buffer
-    auto &data = bstrm.get_buffer();
-    detail::write_data(strm, data.data(), data.size());
+  // Combine small body with headers to reduce write syscalls
+  if (req.method != "HEAD" && !res.body.empty() && !res.content_provider_) {
+    bstrm.write(res.body.data(), res.body.size());
   }
 
-  // Body
+  // Log before writing to avoid race condition with client-side code that
+  // accesses logger-captured data immediately after receiving the response.
+  output_log(req, res);
+
+  // Flush buffer
+  auto &data = bstrm.get_buffer();
+  if (!detail::write_data(strm, data.data(), data.size())) { return false; }
+
+  // Streaming body
   auto ret = true;
-  if (req.method != "HEAD") {
-    if (!res.body.empty()) {
-      if (!detail::write_data(strm, res.body.data(), res.body.size())) {
-        ret = false;
-      }
-    } else if (res.content_provider_) {
-      if (write_content_with_provider(strm, req, res, boundary, content_type)) {
-        res.content_provider_success_ = true;
-      } else {
-        ret = false;
-      }
+  if (req.method != "HEAD" && res.content_provider_) {
+    if (write_content_with_provider(strm, req, res, boundary, content_type)) {
+      res.content_provider_success_ = true;
+    } else {
+      ret = false;
     }
   }
 
-  // Log
-  output_log(req, res);
-
   return ret;
 }
 
@@ -5627,7 +7164,8 @@ bool Server::read_content(Stream &strm, Request &req, Response &res) {
             return true;
           })) {
     const auto &content_type = req.get_header_value("Content-Type");
-    if (!content_type.find("application/x-www-form-urlencoded")) {
+    if (detail::extract_media_type(content_type) ==
+        "application/x-www-form-urlencoded") {
       if (req.body.size() > CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH) {
         res.status = StatusCode::PayloadTooLarge_413; // NOTE: should be 414?
         output_error_log(Error::ExceedMaxPayloadSize, &req);
@@ -5677,35 +7215,39 @@ bool Server::read_content_core(
   // are true (no Transfer-Encoding and no Content-Length), then the message
   // body length is zero (no message body is present).
   //
-  // For non-SSL builds, peek into the socket to detect clients that send a
-  // body without a Content-Length header (raw HTTP over TCP). If there is
-  // pending data that exceeds the configured payload limit, treat this as an
-  // oversized request and fail early (causing connection close). For SSL
-  // builds we cannot reliably peek the decrypted application bytes, so keep
-  // the original behaviour.
-#if !defined(CPPHTTPLIB_OPENSSL_SUPPORT)
+  // For non-SSL builds, detect clients that send a body without a
+  // Content-Length header (raw HTTP over TCP). Check both the stream's
+  // internal read buffer (data already read from the socket during header
+  // parsing) and the socket itself for pending data. If data is found and
+  // exceeds the configured payload limit, reject with 413.
+  // For SSL builds we cannot reliably peek the decrypted application bytes,
+  // so keep the original behaviour.
+#if !defined(CPPHTTPLIB_SSL_ENABLED)
   if (!req.has_header("Content-Length") &&
       !detail::is_chunked_transfer_encoding(req.headers)) {
-    // Only peek if payload_max_length is set to a finite value
+    // Only check if payload_max_length is set to a finite value
     if (payload_max_length_ > 0 &&
         payload_max_length_ < (std::numeric_limits<size_t>::max)()) {
-      socket_t s = strm.socket();
-      if (s != INVALID_SOCKET) {
-        // Peek to check if there is any pending data
-        char peekbuf[1];
-        ssize_t n = ::recv(s, peekbuf, 1, MSG_PEEK);
-        if (n > 0) {
-          // There is data, so read it with payload limit enforcement
-          auto result = detail::read_content_without_length(
-              strm, payload_max_length_, out);
-          if (result == detail::ReadContentResult::PayloadTooLarge) {
-            res.status = StatusCode::PayloadTooLarge_413;
-            return false;
-          } else if (result != detail::ReadContentResult::Success) {
-            return false;
-          }
-          return true;
+      // Check if there is data already buffered in the stream (read during
+      // header parsing) or pending on the socket. Use a non-blocking socket
+      // check to avoid deadlock when the client sends no body.
+      bool has_data = strm.is_readable();
+      if (!has_data) {
+        socket_t s = strm.socket();
+        if (s != INVALID_SOCKET) {
+          has_data = detail::select_read(s, 0, 0) > 0;
+        }
+      }
+      if (has_data) {
+        auto result =
+            detail::read_content_without_length(strm, payload_max_length_, out);
+        if (result == detail::ReadContentResult::PayloadTooLarge) {
+          res.status = StatusCode::PayloadTooLarge_413;
+          return false;
+        } else if (result != detail::ReadContentResult::Success) {
+          return false;
         }
+        return true;
       }
     }
     return true;
@@ -5815,8 +7357,10 @@ bool Server::check_if_not_modified(const Request &req, Response &res,
       // simplified implementation requires exact matches.
       auto ret = detail::split_find(val.data(), val.data() + val.size(), ',',
                                     [&](const char *b, const char *e) {
-                                      return std::equal(b, e, "*") ||
-                                             std::equal(b, e, etag.begin());
+                                      auto seg_len = static_cast<size_t>(e - b);
+                                      return (seg_len == 1 && *b == '*') ||
+                                             (seg_len == etag.size() &&
+                                              std::equal(b, e, etag.begin()));
                                     });
 
       if (ret) {
@@ -6008,45 +7552,63 @@ bool Server::routing(Request &req, Response &res, Stream &strm) {
   if (detail::expect_content(req)) {
     // Content reader handler
     {
+      // Track whether the ContentReader was aborted due to the decompressed
+      // payload exceeding `payload_max_length_`.
+      // The user handler runs after the lambda returns, so we must restore the
+      // 413 status if the handler overwrites it.
+      bool content_reader_payload_too_large = false;
+
       ContentReader reader(
           [&](ContentReceiver receiver) {
             auto result = read_content_with_content_receiver(
                 strm, req, res, std::move(receiver), nullptr, nullptr);
-            if (!result) { output_error_log(Error::Read, &req); }
+            if (!result) {
+              output_error_log(Error::Read, &req);
+              if (res.status == StatusCode::PayloadTooLarge_413) {
+                content_reader_payload_too_large = true;
+              }
+            }
             return result;
           },
           [&](FormDataHeader header, ContentReceiver receiver) {
             auto result = read_content_with_content_receiver(
                 strm, req, res, nullptr, std::move(header),
                 std::move(receiver));
-            if (!result) { output_error_log(Error::Read, &req); }
+            if (!result) {
+              output_error_log(Error::Read, &req);
+              if (res.status == StatusCode::PayloadTooLarge_413) {
+                content_reader_payload_too_large = true;
+              }
+            }
             return result;
           });
 
+      bool dispatched = false;
       if (req.method == "POST") {
-        if (dispatch_request_for_content_reader(
-                req, res, std::move(reader),
-                post_handlers_for_content_reader_)) {
-          return true;
-        }
+        dispatched = dispatch_request_for_content_reader(
+            req, res, std::move(reader), post_handlers_for_content_reader_);
       } else if (req.method == "PUT") {
-        if (dispatch_request_for_content_reader(
-                req, res, std::move(reader),
-                put_handlers_for_content_reader_)) {
-          return true;
-        }
+        dispatched = dispatch_request_for_content_reader(
+            req, res, std::move(reader), put_handlers_for_content_reader_);
       } else if (req.method == "PATCH") {
-        if (dispatch_request_for_content_reader(
-                req, res, std::move(reader),
-                patch_handlers_for_content_reader_)) {
-          return true;
-        }
+        dispatched = dispatch_request_for_content_reader(
+            req, res, std::move(reader), patch_handlers_for_content_reader_);
       } else if (req.method == "DELETE") {
-        if (dispatch_request_for_content_reader(
-                req, res, std::move(reader),
-                delete_handlers_for_content_reader_)) {
-          return true;
+        dispatched = dispatch_request_for_content_reader(
+            req, res, std::move(reader), delete_handlers_for_content_reader_);
+      }
+
+      if (dispatched) {
+        if (content_reader_payload_too_large) {
+          // Enforce the limit: override any status the handler may have set
+          // and return false so the error path sends a plain 413 response.
+          res.status = StatusCode::PayloadTooLarge_413;
+          res.body.clear();
+          res.content_length_ = 0;
+          res.content_provider_ = nullptr;
+          return false;
         }
+        return true;
       }
     }
 
@@ -6270,7 +7832,8 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
                         int remote_port, const std::string &local_addr,
                         int local_port, bool close_connection,
                         bool &connection_closed,
-                        const std::function<void(Request &)> &setup_request) {
+                        const std::function<void(Request &)> &setup_request,
+                        bool *websocket_upgraded) {
   std::array<char, 2048> buf{};
 
   detail::stream_line_reader line_reader(strm, buf.data(), buf.size());
@@ -6289,17 +7852,6 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
   res.version = "HTTP/1.1";
   res.headers = default_headers_;
 
-#ifdef __APPLE__
-  // Socket file descriptor exceeded FD_SETSIZE...
-  if (strm.socket() >= FD_SETSIZE) {
-    Headers dummy;
-    detail::read_headers(strm, dummy);
-    res.status = StatusCode::InternalServerError_500;
-    output_error_log(Error::ExceedMaxSocketDescriptorCount, &req);
-    return write_response(strm, close_connection, req, res);
-  }
-#endif
-
   // Request line and headers
   if (!parse_request_line(line_reader.ptr(), req)) {
     res.status = StatusCode::BadRequest_400;
@@ -6384,6 +7936,77 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
     return !detail::is_socket_alive(sock);
   };
 
+  // WebSocket upgrade
+  // Check pre_routing_handler_ before upgrading so that authentication
+  // and other middleware can reject the request with an HTTP response
+  // (e.g., 401) before the protocol switches.
+  if (detail::is_websocket_upgrade(req)) {
+    if (pre_routing_handler_ &&
+        pre_routing_handler_(req, res) == HandlerResponse::Handled) {
+      if (res.status == -1) { res.status = StatusCode::OK_200; }
+      return write_response(strm, close_connection, req, res);
+    }
+    // Find matching WebSocket handler
+    for (const auto &entry : websocket_handlers_) {
+      if (entry.matcher->match(req)) {
+        // Compute accept key
+        auto client_key = req.get_header_value("Sec-WebSocket-Key");
+        auto accept_key = detail::websocket_accept_key(client_key);
+
+        // Negotiate subprotocol
+        std::string selected_subprotocol;
+        if (entry.sub_protocol_selector) {
+          auto protocol_header = req.get_header_value("Sec-WebSocket-Protocol");
+          if (!protocol_header.empty()) {
+            std::vector<std::string> protocols;
+            std::istringstream iss(protocol_header);
+            std::string token;
+            while (std::getline(iss, token, ',')) {
+              // Trim whitespace
+              auto start = token.find_first_not_of(' ');
+              auto end = token.find_last_not_of(' ');
+              if (start != std::string::npos) {
+                protocols.push_back(token.substr(start, end - start + 1));
+              }
+            }
+            selected_subprotocol = entry.sub_protocol_selector(protocols);
+          }
+        }
+
+        // Send 101 Switching Protocols
+        std::string handshake_response = "HTTP/1.1 101 Switching Protocols\r\n"
+                                         "Upgrade: websocket\r\n"
+                                         "Connection: Upgrade\r\n"
+                                         "Sec-WebSocket-Accept: " +
+                                         accept_key + "\r\n";
+        if (!selected_subprotocol.empty()) {
+          if (!detail::fields::is_field_value(selected_subprotocol)) {
+            return false;
+          }
+          handshake_response +=
+              "Sec-WebSocket-Protocol: " + selected_subprotocol + "\r\n";
+        }
+        handshake_response += "\r\n";
+        if (strm.write(handshake_response.data(), handshake_response.size()) <
+            0) {
+          return false;
+        }
+
+        connection_closed = true;
+        if (websocket_upgraded) { *websocket_upgraded = true; }
+
+        {
+          // Use WebSocket-specific read timeout instead of HTTP timeout
+          strm.set_read_timeout(CPPHTTPLIB_WEBSOCKET_READ_TIMEOUT_SECOND, 0);
+          ws::WebSocket ws(strm, req, true);
+          entry.handler(req, ws);
+        }
+        return true;
+      }
+    }
+    // No matching handler - fall through to 404
+  }
+
   // Routing
   auto routed = false;
 #ifdef CPPHTTPLIB_NO_EXCEPTIONS
@@ -6391,23 +8014,13 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
 #else
   try {
     routed = routing(req, res, strm);
-  } catch (std::exception &e) {
+  } catch (std::exception &) {
     if (exception_handler_) {
       auto ep = std::current_exception();
       exception_handler_(req, res, ep);
       routed = true;
     } else {
       res.status = StatusCode::InternalServerError_500;
-      std::string val;
-      auto s = e.what();
-      for (size_t i = 0; s[i]; i++) {
-        switch (s[i]) {
-        case '\r': val += "\\r"; break;
-        case '\n': val += "\\n"; break;
-        default: val += s[i]; break;
-        }
-      }
-      res.set_header("EXCEPTION_WHAT", val);
     }
   } catch (...) {
     if (exception_handler_) {
@@ -6416,7 +8029,6 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
       routed = true;
     } else {
       res.status = StatusCode::InternalServerError_500;
-      res.set_header("EXCEPTION_WHAT", "UNKNOWN");
     }
   }
 #endif
@@ -6480,6 +8092,7 @@ bool Server::process_and_close_socket(socket_t sock) {
   int local_port = 0;
   detail::get_local_ip_and_port(sock, local_addr, local_port);
 
+  bool websocket_upgraded = false;
   auto ret = detail::process_server_socket(
       svr_sock_, sock, keep_alive_max_count_, keep_alive_timeout_sec_,
       read_timeout_sec_, read_timeout_usec_, write_timeout_sec_,
@@ -6487,7 +8100,7 @@ bool Server::process_and_close_socket(socket_t sock) {
       [&](Stream &strm, bool close_connection, bool &connection_closed) {
         return process_request(strm, remote_addr, remote_port, local_addr,
                                local_port, close_connection, connection_closed,
-                               nullptr);
+                               nullptr, &websocket_upgraded);
       });
 
   detail::shutdown_socket(sock);
@@ -6518,6 +8131,9 @@ void Server::output_error_log(const Error &err,
   }
 }
 
+/*
+ * Group 5: ClientImpl and Client (Universal) implementation
+ */
 // HTTP client implementation
 ClientImpl::ClientImpl(const std::string &host)
     : ClientImpl(host, 80, std::string(), std::string()) {}
@@ -6561,10 +8177,6 @@ void ClientImpl::copy_settings(const ClientImpl &rhs) {
   basic_auth_username_ = rhs.basic_auth_username_;
   basic_auth_password_ = rhs.basic_auth_password_;
   bearer_token_auth_token_ = rhs.bearer_token_auth_token_;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  digest_auth_username_ = rhs.digest_auth_username_;
-  digest_auth_password_ = rhs.digest_auth_password_;
-#endif
   keep_alive_ = rhs.keep_alive_;
   follow_location_ = rhs.follow_location_;
   path_encode_ = rhs.path_encode_;
@@ -6574,28 +8186,27 @@ void ClientImpl::copy_settings(const ClientImpl &rhs) {
   socket_options_ = rhs.socket_options_;
   compress_ = rhs.compress_;
   decompress_ = rhs.decompress_;
+  payload_max_length_ = rhs.payload_max_length_;
+  has_payload_max_length_ = rhs.has_payload_max_length_;
   interface_ = rhs.interface_;
   proxy_host_ = rhs.proxy_host_;
   proxy_port_ = rhs.proxy_port_;
   proxy_basic_auth_username_ = rhs.proxy_basic_auth_username_;
   proxy_basic_auth_password_ = rhs.proxy_basic_auth_password_;
   proxy_bearer_token_auth_token_ = rhs.proxy_bearer_token_auth_token_;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+  logger_ = rhs.logger_;
+  error_logger_ = rhs.error_logger_;
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  digest_auth_username_ = rhs.digest_auth_username_;
+  digest_auth_password_ = rhs.digest_auth_password_;
   proxy_digest_auth_username_ = rhs.proxy_digest_auth_username_;
   proxy_digest_auth_password_ = rhs.proxy_digest_auth_password_;
-#endif
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
   ca_cert_file_path_ = rhs.ca_cert_file_path_;
   ca_cert_dir_path_ = rhs.ca_cert_dir_path_;
-  ca_cert_store_ = rhs.ca_cert_store_;
-#endif
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
   server_certificate_verification_ = rhs.server_certificate_verification_;
   server_hostname_verification_ = rhs.server_hostname_verification_;
-  server_certificate_verifier_ = rhs.server_certificate_verifier_;
 #endif
-  logger_ = rhs.logger_;
-  error_logger_ = rhs.error_logger_;
 }
 
 socket_t ClientImpl::create_client_socket(Error &error) const {
@@ -6631,22 +8242,6 @@ bool ClientImpl::ensure_socket_connection(Socket &socket, Error &error) {
   return create_and_connect_socket(socket, error);
 }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-bool SSLClient::ensure_socket_connection(Socket &socket, Error &error) {
-  if (!ClientImpl::ensure_socket_connection(socket, error)) { return false; }
-
-  if (!proxy_host_.empty() && proxy_port_ != -1) { return true; }
-
-  if (!initialize_ssl(socket, error)) {
-    shutdown_socket(socket);
-    close_socket(socket);
-    return false;
-  }
-
-  return true;
-}
-#endif
-
 void ClientImpl::shutdown_ssl(Socket & /*socket*/,
                                      bool /*shutdown_gracefully*/) {
   // If there are any requests in flight from threads other than us, then it's
@@ -6671,9 +8266,10 @@ void ClientImpl::close_socket(Socket &socket) {
          socket_requests_are_from_thread_ == std::this_thread::get_id());
 
   // It is also a bug if this happens while SSL is still active
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
   assert(socket.ssl == nullptr);
 #endif
+
   if (socket.sock == INVALID_SOCKET) { return; }
   detail::close_socket(socket.sock);
   socket.sock = INVALID_SOCKET;
@@ -6722,6 +8318,8 @@ bool ClientImpl::send(Request &req, Response &res, Error &error) {
   if (error == Error::SSLPeerCouldBeClosed_) {
     assert(!ret);
     ret = send_(req, res, error);
+    // If still failing with SSLPeerCouldBeClosed_, convert to Read error
+    if (error == Error::SSLPeerCouldBeClosed_) { error = Error::Read; }
   }
   return ret;
 }
@@ -6739,9 +8337,9 @@ bool ClientImpl::send_(Request &req, Response &res, Error &error) {
     if (socket_.is_open()) {
       is_alive = detail::is_socket_alive(socket_.sock);
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
       if (is_alive && is_ssl()) {
-        if (detail::is_ssl_peer_could_be_closed(socket_.ssl, socket_.sock)) {
+        if (tls::is_peer_closed(socket_.ssl, socket_.sock)) {
           is_alive = false;
         }
       }
@@ -6765,7 +8363,7 @@ bool ClientImpl::send_(Request &req, Response &res, Error &error) {
         return false;
       }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
       // TODO: refactoring
       if (is_ssl()) {
         auto &scli = static_cast<SSLClient &>(*this);
@@ -6847,9 +8445,9 @@ Result ClientImpl::send_(Request &&req) {
   auto res = detail::make_unique<Response>();
   auto error = Error::Success;
   auto ret = send(req, *res, error);
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
   return Result{ret ? std::move(res) : nullptr, error, std::move(req.headers),
-                last_ssl_error_, last_openssl_error_};
+                last_ssl_error_, last_backend_error_};
 #else
   return Result{ret ? std::move(res) : nullptr, error, std::move(req.headers)};
 #endif
@@ -6926,9 +8524,9 @@ ClientImpl::open_stream(const std::string &method, const std::string &path,
     auto is_alive = false;
     if (socket_.is_open()) {
       is_alive = detail::is_socket_alive(socket_.sock);
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
       if (is_alive && is_ssl()) {
-        if (detail::is_ssl_peer_could_be_closed(socket_.ssl, socket_.sock)) {
+        if (tls::is_peer_closed(socket_.ssl, socket_.sock)) {
           is_alive = false;
         }
       }
@@ -6946,7 +8544,7 @@ ClientImpl::open_stream(const std::string &method, const std::string &path,
         return handle;
       }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
       if (is_ssl()) {
         auto &scli = static_cast<SSLClient &>(*this);
         if (!proxy_host_.empty() && proxy_port_ != -1) {
@@ -6962,11 +8560,12 @@ ClientImpl::open_stream(const std::string &method, const std::string &path,
     transfer_socket_ownership_to_handle(handle);
   }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  if (is_ssl() && handle.connection_->ssl) {
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  if (is_ssl() && handle.connection_->session) {
     handle.socket_stream_ = detail::make_unique<detail::SSLSocketStream>(
-        handle.connection_->sock, handle.connection_->ssl, read_timeout_sec_,
-        read_timeout_usec_, write_timeout_sec_, write_timeout_usec_);
+        handle.connection_->sock, handle.connection_->session,
+        read_timeout_sec_, read_timeout_usec_, write_timeout_sec_,
+        write_timeout_usec_);
   } else {
     handle.socket_stream_ = detail::make_unique<detail::SocketStream>(
         handle.connection_->sock, read_timeout_sec_, read_timeout_usec_,
@@ -7016,11 +8615,19 @@ ClientImpl::open_stream(const std::string &method, const std::string &path,
   }
 
   handle.body_reader_.stream = handle.stream_;
-
-  auto content_length_str = handle.response->get_header_value("Content-Length");
-  if (!content_length_str.empty()) {
-    handle.body_reader_.content_length =
-        static_cast<size_t>(std::stoull(content_length_str));
+  handle.body_reader_.payload_max_length = payload_max_length_;
+
+  if (handle.response->has_header("Content-Length")) {
+    bool is_invalid = false;
+    auto content_length = detail::get_header_value_u64(
+        handle.response->headers, "Content-Length", 0, 0, is_invalid);
+    if (is_invalid) {
+      handle.error = Error::Read;
+      handle.response.reset();
+      return handle;
+    }
+    handle.body_reader_.has_content_length = true;
+    handle.body_reader_.content_length = content_length;
   }
 
   auto transfer_encoding =
@@ -7066,6 +8673,7 @@ ssize_t ClientImpl::StreamHandle::read_with_decompression(char *buf,
     auto to_copy = (std::min)(len, available);
     std::memcpy(buf, decompress_buffer_.data() + decompress_offset_, to_copy);
     decompress_offset_ += to_copy;
+    decompressed_bytes_read_ += to_copy;
     return static_cast<ssize_t>(to_copy);
   }
 
@@ -7081,12 +8689,16 @@ ssize_t ClientImpl::StreamHandle::read_with_decompression(char *buf,
 
     if (n <= 0) { return n; }
 
-    bool decompress_ok =
-        decompressor_->decompress(compressed_buf, static_cast<size_t>(n),
-                                  [this](const char *data, size_t data_len) {
-                                    decompress_buffer_.append(data, data_len);
-                                    return true;
-                                  });
+    bool decompress_ok = decompressor_->decompress(
+        compressed_buf, static_cast<size_t>(n),
+        [this](const char *data, size_t data_len) {
+          decompress_buffer_.append(data, data_len);
+          auto limit = body_reader_.payload_max_length;
+          if (decompressed_bytes_read_ + decompress_buffer_.size() > limit) {
+            return false;
+          }
+          return true;
+        });
 
     if (!decompress_ok) {
       body_reader_.last_error = Error::Read;
@@ -7099,6 +8711,7 @@ ssize_t ClientImpl::StreamHandle::read_with_decompression(char *buf,
   auto to_copy = (std::min)(len, decompress_buffer_.size());
   std::memcpy(buf, decompress_buffer_.data(), to_copy);
   decompress_offset_ = to_copy;
+  decompressed_bytes_read_ += to_copy;
   return static_cast<ssize_t>(to_copy);
 }
 
@@ -7121,7 +8734,6 @@ void ClientImpl::StreamHandle::parse_trailers_if_needed() {
   }
 }
 
-// Inline method implementations for `ChunkedDecoder`.
 namespace detail {
 
 ChunkedDecoder::ChunkedDecoder(Stream &s) : strm(s) {}
@@ -7185,8 +8797,8 @@ bool ChunkedDecoder::parse_trailers_into(Headers &dest,
 void
 ClientImpl::transfer_socket_ownership_to_handle(StreamHandle &handle) {
   handle.connection_->sock = socket_.sock;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  handle.connection_->ssl = socket_.ssl;
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  handle.connection_->session = socket_.ssl;
   socket_.ssl = nullptr;
 #endif
   socket_.sock = INVALID_SOCKET;
@@ -7239,7 +8851,7 @@ bool ClientImpl::handle_request(Stream &strm, Request &req,
     ret = redirect(req, res, error);
   }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
   if ((res.status == StatusCode::Unauthorized_401 ||
        res.status == StatusCode::ProxyAuthenticationRequired_407) &&
       req.authorization_count_ < 5) {
@@ -7343,7 +8955,7 @@ bool ClientImpl::create_redirect_client(
 
   // Create appropriate client type and handle redirect
   if (need_ssl) {
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
     // Create SSL client for HTTPS redirect
     SSLClient redirect_client(host, port);
 
@@ -7363,9 +8975,10 @@ bool ClientImpl::create_redirect_client(
           server_hostname_verification_);
     }
 
-    // Handle CA certificate store and paths if available
-    if (ca_cert_store_ && X509_STORE_up_ref(ca_cert_store_)) {
-      redirect_client.set_ca_cert_store(ca_cert_store_);
+    // Transfer CA certificate to redirect client
+    if (!ca_cert_pem_.empty()) {
+      redirect_client.load_ca_cert_store(ca_cert_pem_.c_str(),
+                                         ca_cert_pem_.size());
     }
     if (!ca_cert_file_path_.empty()) {
       redirect_client.set_ca_cert_path(ca_cert_file_path_, ca_cert_dir_path_);
@@ -7418,7 +9031,7 @@ void ClientImpl::setup_redirect_client(ClientType &client) {
   if (!bearer_token_auth_token_.empty()) {
     client.set_bearer_token_auth(bearer_token_auth_token_);
   }
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
   if (!digest_auth_username_.empty()) {
     client.set_digest_auth(digest_auth_username_, digest_auth_password_);
   }
@@ -7438,7 +9051,7 @@ void ClientImpl::setup_redirect_client(ClientType &client) {
     if (!proxy_bearer_token_auth_token_.empty()) {
       client.set_proxy_bearer_token_auth(proxy_bearer_token_auth_token_);
     }
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
     if (!proxy_digest_auth_username_.empty()) {
       client.set_proxy_digest_auth(proxy_digest_auth_username_,
                                    proxy_digest_auth_password_);
@@ -7809,9 +9422,9 @@ Result ClientImpl::send_with_content_provider_and_receiver(
       std::move(content_provider_without_length), content_type,
       std::move(content_receiver), error);
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
   return Result{std::move(res), error, std::move(req.headers), last_ssl_error_,
-                last_openssl_error_};
+                last_backend_error_};
 #else
   return Result{std::move(res), error, std::move(req.headers)};
 #endif
@@ -7851,11 +9464,11 @@ bool ClientImpl::process_request(Stream &strm, Request &req,
   auto write_request_success =
       write_request(strm, req, close_connection, error, expect_100_continue);
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  if (is_ssl()) {
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  if (is_ssl() && !expect_100_continue) {
     auto is_proxy_enabled = !proxy_host_.empty() && proxy_port_ != -1;
     if (!is_proxy_enabled) {
-      if (detail::is_ssl_peer_could_be_closed(socket_.ssl, socket_.sock)) {
+      if (tls::is_peer_closed(socket_.ssl, socket_.sock)) {
         error = Error::SSLPeerCouldBeClosed_;
         output_error_log(error, &req);
         return false;
@@ -7937,6 +9550,11 @@ bool ClientImpl::process_request(Stream &strm, Request &req,
                   [&](const char *buf, size_t n, size_t /*off*/,
                       size_t /*len*/) {
                     assert(res.body.size() + n <= res.body.max_size());
+                    if (payload_max_length_ > 0 &&
+                        (res.body.size() >= payload_max_length_ ||
+                         n > payload_max_length_ - res.body.size())) {
+                      return false;
+                    }
                     res.body.append(buf, n);
                     return true;
                   });
@@ -7965,9 +9583,12 @@ bool ClientImpl::process_request(Stream &strm, Request &req,
 
     if (res.status != StatusCode::NotModified_304) {
       int dummy_status;
-      if (!detail::read_content(strm, res, (std::numeric_limits<size_t>::max)(),
-                                dummy_status, std::move(progress),
-                                std::move(out), decompress_)) {
+      auto max_length = (!has_payload_max_length_ && req.content_receiver)
+                            ? (std::numeric_limits<size_t>::max)()
+                            : payload_max_length_;
+      if (!detail::read_content(strm, res, max_length, dummy_status,
+                                std::move(progress), std::move(out),
+                                decompress_)) {
         if (error != Error::Canceled) { error = Error::Read; }
         output_error_log(error, &req);
         return false;
@@ -8226,8 +9847,10 @@ Result ClientImpl::Post(const std::string &path, const Headers &headers,
   const auto &boundary = detail::make_multipart_data_boundary();
   const auto &content_type =
       detail::serialize_multipart_formdata_get_content_type(boundary);
-  const auto &body = detail::serialize_multipart_formdata(items, boundary);
-  return Post(path, headers, body, content_type, progress);
+  auto content_length = detail::get_multipart_content_length(items, boundary);
+  return Post(path, headers, content_length,
+              detail::make_multipart_content_provider(items, boundary),
+              content_type, progress);
 }
 
 Result ClientImpl::Post(const std::string &path, const Headers &headers,
@@ -8240,8 +9863,10 @@ Result ClientImpl::Post(const std::string &path, const Headers &headers,
 
   const auto &content_type =
       detail::serialize_multipart_formdata_get_content_type(boundary);
-  const auto &body = detail::serialize_multipart_formdata(items, boundary);
-  return Post(path, headers, body, content_type, progress);
+  auto content_length = detail::get_multipart_content_length(items, boundary);
+  return Post(path, headers, content_length,
+              detail::make_multipart_content_provider(items, boundary),
+              content_type, progress);
 }
 
 Result ClientImpl::Post(const std::string &path, const Headers &headers,
@@ -8419,8 +10044,10 @@ Result ClientImpl::Put(const std::string &path, const Headers &headers,
   const auto &boundary = detail::make_multipart_data_boundary();
   const auto &content_type =
       detail::serialize_multipart_formdata_get_content_type(boundary);
-  const auto &body = detail::serialize_multipart_formdata(items, boundary);
-  return Put(path, headers, body, content_type, progress);
+  auto content_length = detail::get_multipart_content_length(items, boundary);
+  return Put(path, headers, content_length,
+             detail::make_multipart_content_provider(items, boundary),
+             content_type, progress);
 }
 
 Result ClientImpl::Put(const std::string &path, const Headers &headers,
@@ -8433,8 +10060,10 @@ Result ClientImpl::Put(const std::string &path, const Headers &headers,
 
   const auto &content_type =
       detail::serialize_multipart_formdata_get_content_type(boundary);
-  const auto &body = detail::serialize_multipart_formdata(items, boundary);
-  return Put(path, headers, body, content_type, progress);
+  auto content_length = detail::get_multipart_content_length(items, boundary);
+  return Put(path, headers, content_length,
+             detail::make_multipart_content_provider(items, boundary),
+             content_type, progress);
 }
 
 Result ClientImpl::Put(const std::string &path, const Headers &headers,
@@ -8614,8 +10243,10 @@ Result ClientImpl::Patch(const std::string &path, const Headers &headers,
   const auto &boundary = detail::make_multipart_data_boundary();
   const auto &content_type =
       detail::serialize_multipart_formdata_get_content_type(boundary);
-  const auto &body = detail::serialize_multipart_formdata(items, boundary);
-  return Patch(path, headers, body, content_type, progress);
+  auto content_length = detail::get_multipart_content_length(items, boundary);
+  return Patch(path, headers, content_length,
+               detail::make_multipart_content_provider(items, boundary),
+               content_type, progress);
 }
 
 Result ClientImpl::Patch(const std::string &path, const Headers &headers,
@@ -8628,8 +10259,10 @@ Result ClientImpl::Patch(const std::string &path, const Headers &headers,
 
   const auto &content_type =
       detail::serialize_multipart_formdata_get_content_type(boundary);
-  const auto &body = detail::serialize_multipart_formdata(items, boundary);
-  return Patch(path, headers, body, content_type, progress);
+  auto content_length = detail::get_multipart_content_length(items, boundary);
+  return Patch(path, headers, content_length,
+               detail::make_multipart_content_provider(items, boundary),
+               content_type, progress);
 }
 
 Result ClientImpl::Patch(const std::string &path, const Headers &headers,
@@ -8878,14 +10511,6 @@ void ClientImpl::set_bearer_token_auth(const std::string &token) {
   bearer_token_auth_token_ = token;
 }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-void ClientImpl::set_digest_auth(const std::string &username,
-                                        const std::string &password) {
-  digest_auth_username_ = username;
-  digest_auth_password_ = password;
-}
-#endif
-
 void ClientImpl::set_keep_alive(bool on) { keep_alive_ = on; }
 
 void ClientImpl::set_follow_location(bool on) { follow_location_ = on; }
@@ -8922,6 +10547,11 @@ void ClientImpl::set_compress(bool on) { compress_ = on; }
 
 void ClientImpl::set_decompress(bool on) { decompress_ = on; }
 
+void ClientImpl::set_payload_max_length(size_t length) {
+  payload_max_length_ = length;
+  has_payload_max_length_ = true;
+}
+
 void ClientImpl::set_interface(const std::string &intf) {
   interface_ = intf;
 }
@@ -8941,11 +10571,11 @@ void ClientImpl::set_proxy_bearer_token_auth(const std::string &token) {
   proxy_bearer_token_auth_token_ = token;
 }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-void ClientImpl::set_proxy_digest_auth(const std::string &username,
-                                              const std::string &password) {
-  proxy_digest_auth_username_ = username;
-  proxy_digest_auth_password_ = password;
+#ifdef CPPHTTPLIB_SSL_ENABLED
+void ClientImpl::set_digest_auth(const std::string &username,
+                                        const std::string &password) {
+  digest_auth_username_ = username;
+  digest_auth_password_ = password;
 }
 
 void ClientImpl::set_ca_cert_path(const std::string &ca_cert_file_path,
@@ -8954,12 +10584,23 @@ void ClientImpl::set_ca_cert_path(const std::string &ca_cert_file_path,
   ca_cert_dir_path_ = ca_cert_dir_path;
 }
 
-void ClientImpl::set_ca_cert_store(X509_STORE *ca_cert_store) {
-  if (ca_cert_store && ca_cert_store != ca_cert_store_) {
-    ca_cert_store_ = ca_cert_store;
-  }
+void ClientImpl::set_proxy_digest_auth(const std::string &username,
+                                              const std::string &password) {
+  proxy_digest_auth_username_ = username;
+  proxy_digest_auth_password_ = password;
+}
+
+void ClientImpl::enable_server_certificate_verification(bool enabled) {
+  server_certificate_verification_ = enabled;
+}
+
+void ClientImpl::enable_server_hostname_verification(bool enabled) {
+  server_hostname_verification_ = enabled;
 }
+#endif
 
+// ClientImpl::set_ca_cert_store is defined after TLS namespace (uses helpers)
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 X509_STORE *ClientImpl::create_ca_cert_store(const char *ca_cert,
                                                     std::size_t size) const {
   auto mem = BIO_new_mem_buf(ca_cert, static_cast<int>(size));
@@ -8984,17 +10625,9 @@ X509_STORE *ClientImpl::create_ca_cert_store(const char *ca_cert,
   return cts;
 }
 
-void ClientImpl::enable_server_certificate_verification(bool enabled) {
-  server_certificate_verification_ = enabled;
-}
-
-void ClientImpl::enable_server_hostname_verification(bool enabled) {
-  server_hostname_verification_ = enabled;
-}
-
 void ClientImpl::set_server_certificate_verifier(
-    std::function<SSLVerifierResponse(SSL *ssl)> verifier) {
-  server_certificate_verifier_ = verifier;
+    std::function<SSLVerifierResponse(SSL *ssl)> /*verifier*/) {
+  // Base implementation does nothing - SSLClient overrides this
 }
 #endif
 
@@ -9007,810 +10640,2790 @@ void ClientImpl::set_error_logger(ErrorLogger error_logger) {
 }
 
 /*
- * SSL Implementation
+ * SSL/TLS Common Implementation
  */
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-namespace detail {
-
-bool is_ip_address(const std::string &host) {
-  struct in_addr addr4;
-  struct in6_addr addr6;
-  return inet_pton(AF_INET, host.c_str(), &addr4) == 1 ||
-         inet_pton(AF_INET6, host.c_str(), &addr6) == 1;
-}
-
-template <typename U, typename V>
-SSL *ssl_new(socket_t sock, SSL_CTX *ctx, std::mutex &ctx_mutex,
-                    U SSL_connect_or_accept, V setup) {
-  SSL *ssl = nullptr;
-  {
-    std::lock_guard<std::mutex> guard(ctx_mutex);
-    ssl = SSL_new(ctx);
-  }
-
-  if (ssl) {
-    set_nonblocking(sock, true);
-    auto bio = BIO_new_socket(static_cast<int>(sock), BIO_NOCLOSE);
-    BIO_set_nbio(bio, 1);
-    SSL_set_bio(ssl, bio, bio);
-
-    if (!setup(ssl) || SSL_connect_or_accept(ssl) != 1) {
-      SSL_shutdown(ssl);
-      {
-        std::lock_guard<std::mutex> guard(ctx_mutex);
-        SSL_free(ssl);
-      }
-      set_nonblocking(sock, false);
-      return nullptr;
-    }
-    BIO_set_nbio(bio, 0);
-    set_nonblocking(sock, false);
-  }
-
-  return ssl;
-}
 
-void ssl_delete(std::mutex &ctx_mutex, SSL *ssl, socket_t sock,
-                       bool shutdown_gracefully) {
-  // sometimes we may want to skip this to try to avoid SIGPIPE if we know
-  // the remote has closed the network connection
-  // Note that it is not always possible to avoid SIGPIPE, this is merely a
-  // best-efforts.
-  if (shutdown_gracefully) {
-    (void)(sock);
-    // SSL_shutdown() returns 0 on first call (indicating close_notify alert
-    // sent) and 1 on subsequent call (indicating close_notify alert received)
-    if (SSL_shutdown(ssl) == 0) {
-      // Expected to return 1, but even if it doesn't, we free ssl
-      SSL_shutdown(ssl);
-    }
+ClientConnection::~ClientConnection() {
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  if (session) {
+    tls::shutdown(session, true);
+    tls::free_session(session);
+    session = nullptr;
   }
+#endif
 
-  std::lock_guard<std::mutex> guard(ctx_mutex);
-  SSL_free(ssl);
-}
-
-template <typename U>
-bool ssl_connect_or_accept_nonblocking(socket_t sock, SSL *ssl,
-                                       U ssl_connect_or_accept,
-                                       time_t timeout_sec, time_t timeout_usec,
-                                       int *ssl_error) {
-  auto res = 0;
-  while ((res = ssl_connect_or_accept(ssl)) != 1) {
-    auto err = SSL_get_error(ssl, res);
-    switch (err) {
-    case SSL_ERROR_WANT_READ:
-      if (select_read(sock, timeout_sec, timeout_usec) > 0) { continue; }
-      break;
-    case SSL_ERROR_WANT_WRITE:
-      if (select_write(sock, timeout_sec, timeout_usec) > 0) { continue; }
-      break;
-    default: break;
-    }
-    if (ssl_error) { *ssl_error = err; }
-    return false;
+  if (sock != INVALID_SOCKET) {
+    detail::close_socket(sock);
+    sock = INVALID_SOCKET;
   }
-  return true;
-}
-
-template <typename T>
-bool process_server_socket_ssl(
-    const std::atomic<socket_t> &svr_sock, SSL *ssl, socket_t sock,
-    size_t keep_alive_max_count, time_t keep_alive_timeout_sec,
-    time_t read_timeout_sec, time_t read_timeout_usec, time_t write_timeout_sec,
-    time_t write_timeout_usec, T callback) {
-  return process_server_socket_core(
-      svr_sock, sock, keep_alive_max_count, keep_alive_timeout_sec,
-      [&](bool close_connection, bool &connection_closed) {
-        SSLSocketStream strm(sock, ssl, read_timeout_sec, read_timeout_usec,
-                             write_timeout_sec, write_timeout_usec);
-        return callback(strm, close_connection, connection_closed);
-      });
-}
-
-template <typename T>
-bool process_client_socket_ssl(
-    SSL *ssl, socket_t sock, time_t read_timeout_sec, time_t read_timeout_usec,
-    time_t write_timeout_sec, time_t write_timeout_usec,
-    time_t max_timeout_msec,
-    std::chrono::time_point<std::chrono::steady_clock> start_time, T callback) {
-  SSLSocketStream strm(sock, ssl, read_timeout_sec, read_timeout_usec,
-                       write_timeout_sec, write_timeout_usec, max_timeout_msec,
-                       start_time);
-  return callback(strm);
 }
 
-// SSL socket stream implementation
-SSLSocketStream::SSLSocketStream(
-    socket_t sock, SSL *ssl, time_t read_timeout_sec, time_t read_timeout_usec,
-    time_t write_timeout_sec, time_t write_timeout_usec,
-    time_t max_timeout_msec,
-    std::chrono::time_point<std::chrono::steady_clock> start_time)
-    : sock_(sock), ssl_(ssl), read_timeout_sec_(read_timeout_sec),
-      read_timeout_usec_(read_timeout_usec),
-      write_timeout_sec_(write_timeout_sec),
-      write_timeout_usec_(write_timeout_usec),
-      max_timeout_msec_(max_timeout_msec), start_time_(start_time) {
-  SSL_clear_mode(ssl, SSL_MODE_AUTO_RETRY);
-}
+// Universal client implementation
+Client::Client(const std::string &scheme_host_port)
+    : Client(scheme_host_port, std::string(), std::string()) {}
 
-SSLSocketStream::~SSLSocketStream() = default;
+Client::Client(const std::string &scheme_host_port,
+                      const std::string &client_cert_path,
+                      const std::string &client_key_path) {
+  const static std::regex re(
+      R"((?:([a-z]+):\/\/)?(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?)");
 
-bool SSLSocketStream::is_readable() const {
-  return SSL_pending(ssl_) > 0;
-}
+  std::smatch m;
+  if (std::regex_match(scheme_host_port, m, re)) {
+    auto scheme = m[1].str();
 
-bool SSLSocketStream::wait_readable() const {
-  if (max_timeout_msec_ <= 0) {
-    return select_read(sock_, read_timeout_sec_, read_timeout_usec_) > 0;
-  }
+#ifdef CPPHTTPLIB_SSL_ENABLED
+    if (!scheme.empty() && (scheme != "http" && scheme != "https")) {
+#else
+    if (!scheme.empty() && scheme != "http") {
+#endif
+#ifndef CPPHTTPLIB_NO_EXCEPTIONS
+      std::string msg = "'" + scheme + "' scheme is not supported.";
+      throw std::invalid_argument(msg);
+#endif
+      return;
+    }
 
-  time_t read_timeout_sec;
-  time_t read_timeout_usec;
-  calc_actual_timeout(max_timeout_msec_, duration(), read_timeout_sec_,
-                      read_timeout_usec_, read_timeout_sec, read_timeout_usec);
+    auto is_ssl = scheme == "https";
 
-  return select_read(sock_, read_timeout_sec, read_timeout_usec) > 0;
-}
+    auto host = m[2].str();
+    if (host.empty()) { host = m[3].str(); }
 
-bool SSLSocketStream::wait_writable() const {
-  return select_write(sock_, write_timeout_sec_, write_timeout_usec_) > 0 &&
-         is_socket_alive(sock_) && !is_ssl_peer_could_be_closed(ssl_, sock_);
-}
+    auto port_str = m[4].str();
+    auto port = !port_str.empty() ? std::stoi(port_str) : (is_ssl ? 443 : 80);
 
-ssize_t SSLSocketStream::read(char *ptr, size_t size) {
-  if (SSL_pending(ssl_) > 0) {
-    auto ret = SSL_read(ssl_, ptr, static_cast<int>(size));
-    if (ret == 0) { error_ = Error::ConnectionClosed; }
-    return ret;
-  } else if (wait_readable()) {
-    auto ret = SSL_read(ssl_, ptr, static_cast<int>(size));
-    if (ret < 0) {
-      auto err = SSL_get_error(ssl_, ret);
-      auto n = 1000;
-#ifdef _WIN32
-      while (--n >= 0 && (err == SSL_ERROR_WANT_READ ||
-                          (err == SSL_ERROR_SYSCALL &&
-                           WSAGetLastError() == WSAETIMEDOUT))) {
-#else
-      while (--n >= 0 && err == SSL_ERROR_WANT_READ) {
+    if (is_ssl) {
+#ifdef CPPHTTPLIB_SSL_ENABLED
+      cli_ = detail::make_unique<SSLClient>(host, port, client_cert_path,
+                                            client_key_path);
+      is_ssl_ = is_ssl;
 #endif
-        if (SSL_pending(ssl_) > 0) {
-          return SSL_read(ssl_, ptr, static_cast<int>(size));
-        } else if (wait_readable()) {
-          std::this_thread::sleep_for(std::chrono::microseconds{10});
-          ret = SSL_read(ssl_, ptr, static_cast<int>(size));
-          if (ret >= 0) { return ret; }
-          err = SSL_get_error(ssl_, ret);
-        } else {
-          break;
-        }
-      }
-      assert(ret < 0);
-    } else if (ret == 0) {
-      error_ = Error::ConnectionClosed;
+    } else {
+      cli_ = detail::make_unique<ClientImpl>(host, port, client_cert_path,
+                                             client_key_path);
     }
-    return ret;
   } else {
-    error_ = Error::Timeout;
-    return -1;
+    // NOTE: Update TEST(UniversalClientImplTest, Ipv6LiteralAddress)
+    // if port param below changes.
+    cli_ = detail::make_unique<ClientImpl>(scheme_host_port, 80,
+                                           client_cert_path, client_key_path);
   }
-}
+} // namespace detail
 
-ssize_t SSLSocketStream::write(const char *ptr, size_t size) {
-  if (wait_writable()) {
-    auto handle_size = static_cast<int>(
-        std::min<size_t>(size, (std::numeric_limits<int>::max)()));
+Client::Client(const std::string &host, int port)
+    : cli_(detail::make_unique<ClientImpl>(host, port)) {}
 
-    auto ret = SSL_write(ssl_, ptr, static_cast<int>(handle_size));
-    if (ret < 0) {
-      auto err = SSL_get_error(ssl_, ret);
-      auto n = 1000;
-#ifdef _WIN32
-      while (--n >= 0 && (err == SSL_ERROR_WANT_WRITE ||
-                          (err == SSL_ERROR_SYSCALL &&
-                           WSAGetLastError() == WSAETIMEDOUT))) {
-#else
-      while (--n >= 0 && err == SSL_ERROR_WANT_WRITE) {
-#endif
-        if (wait_writable()) {
-          std::this_thread::sleep_for(std::chrono::microseconds{10});
-          ret = SSL_write(ssl_, ptr, static_cast<int>(handle_size));
-          if (ret >= 0) { return ret; }
-          err = SSL_get_error(ssl_, ret);
-        } else {
-          break;
-        }
-      }
-      assert(ret < 0);
-    }
-    return ret;
-  }
-  return -1;
-}
+Client::Client(const std::string &host, int port,
+                      const std::string &client_cert_path,
+                      const std::string &client_key_path)
+    : cli_(detail::make_unique<ClientImpl>(host, port, client_cert_path,
+                                           client_key_path)) {}
 
-void SSLSocketStream::get_remote_ip_and_port(std::string &ip,
-                                                    int &port) const {
-  detail::get_remote_ip_and_port(sock_, ip, port);
-}
+Client::~Client() = default;
 
-void SSLSocketStream::get_local_ip_and_port(std::string &ip,
-                                                   int &port) const {
-  detail::get_local_ip_and_port(sock_, ip, port);
+bool Client::is_valid() const {
+  return cli_ != nullptr && cli_->is_valid();
 }
 
-socket_t SSLSocketStream::socket() const { return sock_; }
-
-time_t SSLSocketStream::duration() const {
-  return std::chrono::duration_cast<std::chrono::milliseconds>(
-             std::chrono::steady_clock::now() - start_time_)
-      .count();
+Result Client::Get(const std::string &path, DownloadProgress progress) {
+  return cli_->Get(path, std::move(progress));
 }
-
-} // namespace detail
-
-// SSL HTTP server implementation
-SSLServer::SSLServer(const char *cert_path, const char *private_key_path,
+Result Client::Get(const std::string &path, const Headers &headers,
+                          DownloadProgress progress) {
+  return cli_->Get(path, headers, std::move(progress));
+}
+Result Client::Get(const std::string &path,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Get(path, std::move(content_receiver), std::move(progress));
+}
+Result Client::Get(const std::string &path, const Headers &headers,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Get(path, headers, std::move(content_receiver),
+                   std::move(progress));
+}
+Result Client::Get(const std::string &path,
+                          ResponseHandler response_handler,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Get(path, std::move(response_handler),
+                   std::move(content_receiver), std::move(progress));
+}
+Result Client::Get(const std::string &path, const Headers &headers,
+                          ResponseHandler response_handler,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Get(path, headers, std::move(response_handler),
+                   std::move(content_receiver), std::move(progress));
+}
+Result Client::Get(const std::string &path, const Params &params,
+                          const Headers &headers, DownloadProgress progress) {
+  return cli_->Get(path, params, headers, std::move(progress));
+}
+Result Client::Get(const std::string &path, const Params &params,
+                          const Headers &headers,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Get(path, params, headers, std::move(content_receiver),
+                   std::move(progress));
+}
+Result Client::Get(const std::string &path, const Params &params,
+                          const Headers &headers,
+                          ResponseHandler response_handler,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Get(path, params, headers, std::move(response_handler),
+                   std::move(content_receiver), std::move(progress));
+}
+
+Result Client::Head(const std::string &path) { return cli_->Head(path); }
+Result Client::Head(const std::string &path, const Headers &headers) {
+  return cli_->Head(path, headers);
+}
+
+Result Client::Post(const std::string &path) { return cli_->Post(path); }
+Result Client::Post(const std::string &path, const Headers &headers) {
+  return cli_->Post(path, headers);
+}
+Result Client::Post(const std::string &path, const char *body,
+                           size_t content_length,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, body, content_length, content_type, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const char *body, size_t content_length,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, body, content_length, content_type,
+                    progress);
+}
+Result Client::Post(const std::string &path, const std::string &body,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, body, content_type, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const std::string &body,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, body, content_type, progress);
+}
+Result Client::Post(const std::string &path, size_t content_length,
+                           ContentProvider content_provider,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, content_length, std::move(content_provider),
+                    content_type, progress);
+}
+Result Client::Post(const std::string &path, size_t content_length,
+                           ContentProvider content_provider,
+                           const std::string &content_type,
+                           ContentReceiver content_receiver,
+                           UploadProgress progress) {
+  return cli_->Post(path, content_length, std::move(content_provider),
+                    content_type, std::move(content_receiver), progress);
+}
+Result Client::Post(const std::string &path,
+                           ContentProviderWithoutLength content_provider,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, std::move(content_provider), content_type, progress);
+}
+Result Client::Post(const std::string &path,
+                           ContentProviderWithoutLength content_provider,
+                           const std::string &content_type,
+                           ContentReceiver content_receiver,
+                           UploadProgress progress) {
+  return cli_->Post(path, std::move(content_provider), content_type,
+                    std::move(content_receiver), progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           size_t content_length,
+                           ContentProvider content_provider,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, content_length, std::move(content_provider),
+                    content_type, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           size_t content_length,
+                           ContentProvider content_provider,
+                           const std::string &content_type,
+                           ContentReceiver content_receiver,
+                           DownloadProgress progress) {
+  return cli_->Post(path, headers, content_length, std::move(content_provider),
+                    content_type, std::move(content_receiver), progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           ContentProviderWithoutLength content_provider,
+                           const std::string &content_type,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, std::move(content_provider), content_type,
+                    progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           ContentProviderWithoutLength content_provider,
+                           const std::string &content_type,
+                           ContentReceiver content_receiver,
+                           DownloadProgress progress) {
+  return cli_->Post(path, headers, std::move(content_provider), content_type,
+                    std::move(content_receiver), progress);
+}
+Result Client::Post(const std::string &path, const Params &params) {
+  return cli_->Post(path, params);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const Params &params) {
+  return cli_->Post(path, headers, params);
+}
+Result Client::Post(const std::string &path,
+                           const UploadFormDataItems &items,
+                           UploadProgress progress) {
+  return cli_->Post(path, items, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const UploadFormDataItems &items,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, items, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const UploadFormDataItems &items,
+                           const std::string &boundary,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, items, boundary, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const UploadFormDataItems &items,
+                           const FormDataProviderItems &provider_items,
+                           UploadProgress progress) {
+  return cli_->Post(path, headers, items, provider_items, progress);
+}
+Result Client::Post(const std::string &path, const Headers &headers,
+                           const std::string &body,
+                           const std::string &content_type,
+                           ContentReceiver content_receiver,
+                           DownloadProgress progress) {
+  return cli_->Post(path, headers, body, content_type,
+                    std::move(content_receiver), progress);
+}
+
+Result Client::Put(const std::string &path) { return cli_->Put(path); }
+Result Client::Put(const std::string &path, const Headers &headers) {
+  return cli_->Put(path, headers);
+}
+Result Client::Put(const std::string &path, const char *body,
+                          size_t content_length,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, body, content_length, content_type, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const char *body, size_t content_length,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, body, content_length, content_type, progress);
+}
+Result Client::Put(const std::string &path, const std::string &body,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, body, content_type, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const std::string &body,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, body, content_type, progress);
+}
+Result Client::Put(const std::string &path, size_t content_length,
+                          ContentProvider content_provider,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, content_length, std::move(content_provider),
+                   content_type, progress);
+}
+Result Client::Put(const std::string &path, size_t content_length,
+                          ContentProvider content_provider,
+                          const std::string &content_type,
+                          ContentReceiver content_receiver,
+                          UploadProgress progress) {
+  return cli_->Put(path, content_length, std::move(content_provider),
+                   content_type, std::move(content_receiver), progress);
+}
+Result Client::Put(const std::string &path,
+                          ContentProviderWithoutLength content_provider,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, std::move(content_provider), content_type, progress);
+}
+Result Client::Put(const std::string &path,
+                          ContentProviderWithoutLength content_provider,
+                          const std::string &content_type,
+                          ContentReceiver content_receiver,
+                          UploadProgress progress) {
+  return cli_->Put(path, std::move(content_provider), content_type,
+                   std::move(content_receiver), progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          size_t content_length,
+                          ContentProvider content_provider,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, content_length, std::move(content_provider),
+                   content_type, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          size_t content_length,
+                          ContentProvider content_provider,
+                          const std::string &content_type,
+                          ContentReceiver content_receiver,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, content_length, std::move(content_provider),
+                   content_type, std::move(content_receiver), progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          ContentProviderWithoutLength content_provider,
+                          const std::string &content_type,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, std::move(content_provider), content_type,
+                   progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          ContentProviderWithoutLength content_provider,
+                          const std::string &content_type,
+                          ContentReceiver content_receiver,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, std::move(content_provider), content_type,
+                   std::move(content_receiver), progress);
+}
+Result Client::Put(const std::string &path, const Params &params) {
+  return cli_->Put(path, params);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const Params &params) {
+  return cli_->Put(path, headers, params);
+}
+Result Client::Put(const std::string &path,
+                          const UploadFormDataItems &items,
+                          UploadProgress progress) {
+  return cli_->Put(path, items, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const UploadFormDataItems &items,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, items, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const UploadFormDataItems &items,
+                          const std::string &boundary,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, items, boundary, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const UploadFormDataItems &items,
+                          const FormDataProviderItems &provider_items,
+                          UploadProgress progress) {
+  return cli_->Put(path, headers, items, provider_items, progress);
+}
+Result Client::Put(const std::string &path, const Headers &headers,
+                          const std::string &body,
+                          const std::string &content_type,
+                          ContentReceiver content_receiver,
+                          DownloadProgress progress) {
+  return cli_->Put(path, headers, body, content_type, content_receiver,
+                   progress);
+}
+
+Result Client::Patch(const std::string &path) {
+  return cli_->Patch(path);
+}
+Result Client::Patch(const std::string &path, const Headers &headers) {
+  return cli_->Patch(path, headers);
+}
+Result Client::Patch(const std::string &path, const char *body,
+                            size_t content_length,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, body, content_length, content_type, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const char *body, size_t content_length,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, body, content_length, content_type,
+                     progress);
+}
+Result Client::Patch(const std::string &path, const std::string &body,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, body, content_type, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const std::string &body,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, body, content_type, progress);
+}
+Result Client::Patch(const std::string &path, size_t content_length,
+                            ContentProvider content_provider,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, content_length, std::move(content_provider),
+                     content_type, progress);
+}
+Result Client::Patch(const std::string &path, size_t content_length,
+                            ContentProvider content_provider,
+                            const std::string &content_type,
+                            ContentReceiver content_receiver,
+                            UploadProgress progress) {
+  return cli_->Patch(path, content_length, std::move(content_provider),
+                     content_type, std::move(content_receiver), progress);
+}
+Result Client::Patch(const std::string &path,
+                            ContentProviderWithoutLength content_provider,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, std::move(content_provider), content_type, progress);
+}
+Result Client::Patch(const std::string &path,
+                            ContentProviderWithoutLength content_provider,
+                            const std::string &content_type,
+                            ContentReceiver content_receiver,
+                            UploadProgress progress) {
+  return cli_->Patch(path, std::move(content_provider), content_type,
+                     std::move(content_receiver), progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            size_t content_length,
+                            ContentProvider content_provider,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, content_length, std::move(content_provider),
+                     content_type, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            size_t content_length,
+                            ContentProvider content_provider,
+                            const std::string &content_type,
+                            ContentReceiver content_receiver,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, content_length, std::move(content_provider),
+                     content_type, std::move(content_receiver), progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            ContentProviderWithoutLength content_provider,
+                            const std::string &content_type,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, std::move(content_provider), content_type,
+                     progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            ContentProviderWithoutLength content_provider,
+                            const std::string &content_type,
+                            ContentReceiver content_receiver,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, std::move(content_provider), content_type,
+                     std::move(content_receiver), progress);
+}
+Result Client::Patch(const std::string &path, const Params &params) {
+  return cli_->Patch(path, params);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const Params &params) {
+  return cli_->Patch(path, headers, params);
+}
+Result Client::Patch(const std::string &path,
+                            const UploadFormDataItems &items,
+                            UploadProgress progress) {
+  return cli_->Patch(path, items, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const UploadFormDataItems &items,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, items, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const UploadFormDataItems &items,
+                            const std::string &boundary,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, items, boundary, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const UploadFormDataItems &items,
+                            const FormDataProviderItems &provider_items,
+                            UploadProgress progress) {
+  return cli_->Patch(path, headers, items, provider_items, progress);
+}
+Result Client::Patch(const std::string &path, const Headers &headers,
+                            const std::string &body,
+                            const std::string &content_type,
+                            ContentReceiver content_receiver,
+                            DownloadProgress progress) {
+  return cli_->Patch(path, headers, body, content_type, content_receiver,
+                     progress);
+}
+
+Result Client::Delete(const std::string &path,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, progress);
+}
+Result Client::Delete(const std::string &path, const Headers &headers,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, headers, progress);
+}
+Result Client::Delete(const std::string &path, const char *body,
+                             size_t content_length,
+                             const std::string &content_type,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, body, content_length, content_type, progress);
+}
+Result Client::Delete(const std::string &path, const Headers &headers,
+                             const char *body, size_t content_length,
+                             const std::string &content_type,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, headers, body, content_length, content_type,
+                      progress);
+}
+Result Client::Delete(const std::string &path, const std::string &body,
+                             const std::string &content_type,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, body, content_type, progress);
+}
+Result Client::Delete(const std::string &path, const Headers &headers,
+                             const std::string &body,
+                             const std::string &content_type,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, headers, body, content_type, progress);
+}
+Result Client::Delete(const std::string &path, const Params &params,
+                             DownloadProgress progress) {
+  return cli_->Delete(path, params, progress);
+}
+Result Client::Delete(const std::string &path, const Headers &headers,
+                             const Params &params, DownloadProgress progress) {
+  return cli_->Delete(path, headers, params, progress);
+}
+
+Result Client::Options(const std::string &path) {
+  return cli_->Options(path);
+}
+Result Client::Options(const std::string &path, const Headers &headers) {
+  return cli_->Options(path, headers);
+}
+
+ClientImpl::StreamHandle
+Client::open_stream(const std::string &method, const std::string &path,
+                    const Params &params, const Headers &headers,
+                    const std::string &body, const std::string &content_type) {
+  return cli_->open_stream(method, path, params, headers, body, content_type);
+}
+
+bool Client::send(Request &req, Response &res, Error &error) {
+  return cli_->send(req, res, error);
+}
+
+Result Client::send(const Request &req) { return cli_->send(req); }
+
+void Client::stop() { cli_->stop(); }
+
+std::string Client::host() const { return cli_->host(); }
+
+int Client::port() const { return cli_->port(); }
+
+size_t Client::is_socket_open() const { return cli_->is_socket_open(); }
+
+socket_t Client::socket() const { return cli_->socket(); }
+
+void
+Client::set_hostname_addr_map(std::map<std::string, std::string> addr_map) {
+  cli_->set_hostname_addr_map(std::move(addr_map));
+}
+
+void Client::set_default_headers(Headers headers) {
+  cli_->set_default_headers(std::move(headers));
+}
+
+void Client::set_header_writer(
+    std::function<ssize_t(Stream &, Headers &)> const &writer) {
+  cli_->set_header_writer(writer);
+}
+
+void Client::set_address_family(int family) {
+  cli_->set_address_family(family);
+}
+
+void Client::set_tcp_nodelay(bool on) { cli_->set_tcp_nodelay(on); }
+
+void Client::set_socket_options(SocketOptions socket_options) {
+  cli_->set_socket_options(std::move(socket_options));
+}
+
+void Client::set_connection_timeout(time_t sec, time_t usec) {
+  cli_->set_connection_timeout(sec, usec);
+}
+
+void Client::set_read_timeout(time_t sec, time_t usec) {
+  cli_->set_read_timeout(sec, usec);
+}
+
+void Client::set_write_timeout(time_t sec, time_t usec) {
+  cli_->set_write_timeout(sec, usec);
+}
+
+void Client::set_basic_auth(const std::string &username,
+                                   const std::string &password) {
+  cli_->set_basic_auth(username, password);
+}
+void Client::set_bearer_token_auth(const std::string &token) {
+  cli_->set_bearer_token_auth(token);
+}
+
+void Client::set_keep_alive(bool on) { cli_->set_keep_alive(on); }
+void Client::set_follow_location(bool on) {
+  cli_->set_follow_location(on);
+}
+
+void Client::set_path_encode(bool on) { cli_->set_path_encode(on); }
+
+[[deprecated("Use set_path_encode instead")]]
+void Client::set_url_encode(bool on) {
+  cli_->set_path_encode(on);
+}
+
+void Client::set_compress(bool on) { cli_->set_compress(on); }
+
+void Client::set_decompress(bool on) { cli_->set_decompress(on); }
+
+void Client::set_payload_max_length(size_t length) {
+  cli_->set_payload_max_length(length);
+}
+
+void Client::set_interface(const std::string &intf) {
+  cli_->set_interface(intf);
+}
+
+void Client::set_proxy(const std::string &host, int port) {
+  cli_->set_proxy(host, port);
+}
+void Client::set_proxy_basic_auth(const std::string &username,
+                                         const std::string &password) {
+  cli_->set_proxy_basic_auth(username, password);
+}
+void Client::set_proxy_bearer_token_auth(const std::string &token) {
+  cli_->set_proxy_bearer_token_auth(token);
+}
+
+void Client::set_logger(Logger logger) {
+  cli_->set_logger(std::move(logger));
+}
+
+void Client::set_error_logger(ErrorLogger error_logger) {
+  cli_->set_error_logger(std::move(error_logger));
+}
+
+/*
+ * Group 6: SSL Server and Client implementation
+ */
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+
+// SSL HTTP server implementation
+SSLServer::SSLServer(const char *cert_path, const char *private_key_path,
                             const char *client_ca_cert_file_path,
                             const char *client_ca_cert_dir_path,
                             const char *private_key_password) {
-  ctx_ = SSL_CTX_new(TLS_server_method());
+  using namespace tls;
+
+  ctx_ = create_server_context();
+  if (!ctx_) { return; }
+
+  // Load server certificate and private key
+  if (!set_server_cert_file(ctx_, cert_path, private_key_path,
+                            private_key_password)) {
+    last_ssl_error_ = static_cast<int>(get_error());
+    free_context(ctx_);
+    ctx_ = nullptr;
+    return;
+  }
+
+  // Load client CA certificates for client authentication
+  if (client_ca_cert_file_path || client_ca_cert_dir_path) {
+    if (!set_client_ca_file(ctx_, client_ca_cert_file_path,
+                            client_ca_cert_dir_path)) {
+      last_ssl_error_ = static_cast<int>(get_error());
+      free_context(ctx_);
+      ctx_ = nullptr;
+      return;
+    }
+    // Enable client certificate verification
+    set_verify_client(ctx_, true);
+  }
+}
+
+SSLServer::SSLServer(const PemMemory &pem) {
+  using namespace tls;
+  ctx_ = create_server_context();
+  if (ctx_) {
+    if (!set_server_cert_pem(ctx_, pem.cert_pem, pem.key_pem,
+                             pem.private_key_password)) {
+      last_ssl_error_ = static_cast<int>(get_error());
+      free_context(ctx_);
+      ctx_ = nullptr;
+    } else if (pem.client_ca_pem && pem.client_ca_pem_len > 0) {
+      if (!load_ca_pem(ctx_, pem.client_ca_pem, pem.client_ca_pem_len)) {
+        last_ssl_error_ = static_cast<int>(get_error());
+        free_context(ctx_);
+        ctx_ = nullptr;
+      } else {
+        set_verify_client(ctx_, true);
+      }
+    }
+  }
+}
+
+SSLServer::SSLServer(const tls::ContextSetupCallback &setup_callback) {
+  using namespace tls;
+  ctx_ = create_server_context();
+  if (ctx_) {
+    if (!setup_callback(ctx_)) {
+      free_context(ctx_);
+      ctx_ = nullptr;
+    }
+  }
+}
+
+SSLServer::~SSLServer() {
+  if (ctx_) { tls::free_context(ctx_); }
+}
+
+bool SSLServer::is_valid() const { return ctx_ != nullptr; }
+
+bool SSLServer::process_and_close_socket(socket_t sock) {
+  using namespace tls;
+
+  // Create TLS session with mutex protection
+  session_t session = nullptr;
+  {
+    std::lock_guard<std::mutex> guard(ctx_mutex_);
+    session = create_session(static_cast<ctx_t>(ctx_), sock);
+  }
+
+  if (!session) {
+    last_ssl_error_ = static_cast<int>(get_error());
+    detail::shutdown_socket(sock);
+    detail::close_socket(sock);
+    return false;
+  }
+
+  // Use scope_exit to ensure cleanup on all paths (including exceptions)
+  bool handshake_done = false;
+  bool ret = false;
+  bool websocket_upgraded = false;
+  auto cleanup = detail::scope_exit([&] {
+    if (handshake_done) { shutdown(session, !websocket_upgraded && ret); }
+    free_session(session);
+    detail::shutdown_socket(sock);
+    detail::close_socket(sock);
+  });
+
+  // Perform TLS accept handshake with timeout
+  TlsError tls_err;
+  if (!accept_nonblocking(session, sock, read_timeout_sec_, read_timeout_usec_,
+                          &tls_err)) {
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+    // Map TlsError to legacy ssl_error for backward compatibility
+    if (tls_err.code == ErrorCode::WantRead) {
+      last_ssl_error_ = SSL_ERROR_WANT_READ;
+    } else if (tls_err.code == ErrorCode::WantWrite) {
+      last_ssl_error_ = SSL_ERROR_WANT_WRITE;
+    } else {
+      last_ssl_error_ = SSL_ERROR_SSL;
+    }
+#else
+    last_ssl_error_ = static_cast<int>(get_error());
+#endif
+    return false;
+  }
+
+  handshake_done = true;
+
+  std::string remote_addr;
+  int remote_port = 0;
+  detail::get_remote_ip_and_port(sock, remote_addr, remote_port);
+
+  std::string local_addr;
+  int local_port = 0;
+  detail::get_local_ip_and_port(sock, local_addr, local_port);
+
+  ret = detail::process_server_socket_ssl(
+      svr_sock_, session, sock, keep_alive_max_count_, keep_alive_timeout_sec_,
+      read_timeout_sec_, read_timeout_usec_, write_timeout_sec_,
+      write_timeout_usec_,
+      [&](Stream &strm, bool close_connection, bool &connection_closed) {
+        return process_request(
+            strm, remote_addr, remote_port, local_addr, local_port,
+            close_connection, connection_closed,
+            [&](Request &req) { req.ssl = session; }, &websocket_upgraded);
+      });
+
+  return ret;
+}
+
+bool SSLServer::update_certs_pem(const char *cert_pem,
+                                        const char *key_pem,
+                                        const char *client_ca_pem,
+                                        const char *password) {
+  if (!ctx_) { return false; }
+  std::lock_guard<std::mutex> guard(ctx_mutex_);
+  if (!tls::update_server_cert(ctx_, cert_pem, key_pem, password)) {
+    return false;
+  }
+  if (client_ca_pem) {
+    return tls::update_server_client_ca(ctx_, client_ca_pem);
+  }
+  return true;
+}
+
+// SSL HTTP client implementation
+SSLClient::~SSLClient() {
+  if (ctx_) { tls::free_context(ctx_); }
+  // Make sure to shut down SSL since shutdown_ssl will resolve to the
+  // base function rather than the derived function once we get to the
+  // base class destructor, and won't free the SSL (causing a leak).
+  shutdown_ssl_impl(socket_, true);
+}
+
+bool SSLClient::is_valid() const { return ctx_ != nullptr; }
+
+void SSLClient::shutdown_ssl(Socket &socket, bool shutdown_gracefully) {
+  shutdown_ssl_impl(socket, shutdown_gracefully);
+}
+
+void SSLClient::shutdown_ssl_impl(Socket &socket,
+                                         bool shutdown_gracefully) {
+  if (socket.sock == INVALID_SOCKET) {
+    assert(socket.ssl == nullptr);
+    return;
+  }
+  if (socket.ssl) {
+    tls::shutdown(socket.ssl, shutdown_gracefully);
+    {
+      std::lock_guard<std::mutex> guard(ctx_mutex_);
+      tls::free_session(socket.ssl);
+    }
+    socket.ssl = nullptr;
+  }
+  assert(socket.ssl == nullptr);
+}
+
+bool SSLClient::process_socket(
+    const Socket &socket,
+    std::chrono::time_point<std::chrono::steady_clock> start_time,
+    std::function<bool(Stream &strm)> callback) {
+  assert(socket.ssl);
+  return detail::process_client_socket_ssl(
+      socket.ssl, socket.sock, read_timeout_sec_, read_timeout_usec_,
+      write_timeout_sec_, write_timeout_usec_, max_timeout_msec_, start_time,
+      std::move(callback));
+}
+
+bool SSLClient::is_ssl() const { return true; }
+
+bool SSLClient::create_and_connect_socket(Socket &socket, Error &error) {
+  if (!is_valid()) {
+    error = Error::SSLConnection;
+    return false;
+  }
+  return ClientImpl::create_and_connect_socket(socket, error);
+}
+
+// Assumes that socket_mutex_ is locked and that there are no requests in
+// flight
+bool SSLClient::connect_with_proxy(
+    Socket &socket,
+    std::chrono::time_point<std::chrono::steady_clock> start_time,
+    Response &res, bool &success, Error &error) {
+  success = true;
+  Response proxy_res;
+  if (!detail::process_client_socket(
+          socket.sock, read_timeout_sec_, read_timeout_usec_,
+          write_timeout_sec_, write_timeout_usec_, max_timeout_msec_,
+          start_time, [&](Stream &strm) {
+            Request req2;
+            req2.method = "CONNECT";
+            req2.path =
+                detail::make_host_and_port_string_always_port(host_, port_);
+            if (max_timeout_msec_ > 0) {
+              req2.start_time_ = std::chrono::steady_clock::now();
+            }
+            return process_request(strm, req2, proxy_res, false, error);
+          })) {
+    // Thread-safe to close everything because we are assuming there are no
+    // requests in flight
+    shutdown_ssl(socket, true);
+    shutdown_socket(socket);
+    close_socket(socket);
+    success = false;
+    return false;
+  }
+
+  if (proxy_res.status == StatusCode::ProxyAuthenticationRequired_407) {
+    if (!proxy_digest_auth_username_.empty() &&
+        !proxy_digest_auth_password_.empty()) {
+      std::map<std::string, std::string> auth;
+      if (detail::parse_www_authenticate(proxy_res, auth, true)) {
+        // Close the current socket and create a new one for the authenticated
+        // request
+        shutdown_ssl(socket, true);
+        shutdown_socket(socket);
+        close_socket(socket);
+
+        // Create a new socket for the authenticated CONNECT request
+        if (!ensure_socket_connection(socket, error)) {
+          success = false;
+          output_error_log(error, nullptr);
+          return false;
+        }
+
+        proxy_res = Response();
+        if (!detail::process_client_socket(
+                socket.sock, read_timeout_sec_, read_timeout_usec_,
+                write_timeout_sec_, write_timeout_usec_, max_timeout_msec_,
+                start_time, [&](Stream &strm) {
+                  Request req3;
+                  req3.method = "CONNECT";
+                  req3.path = detail::make_host_and_port_string_always_port(
+                      host_, port_);
+                  req3.headers.insert(detail::make_digest_authentication_header(
+                      req3, auth, 1, detail::random_string(10),
+                      proxy_digest_auth_username_, proxy_digest_auth_password_,
+                      true));
+                  if (max_timeout_msec_ > 0) {
+                    req3.start_time_ = std::chrono::steady_clock::now();
+                  }
+                  return process_request(strm, req3, proxy_res, false, error);
+                })) {
+          // Thread-safe to close everything because we are assuming there are
+          // no requests in flight
+          shutdown_ssl(socket, true);
+          shutdown_socket(socket);
+          close_socket(socket);
+          success = false;
+          return false;
+        }
+      }
+    }
+  }
+
+  // If status code is not 200, proxy request is failed.
+  // Set error to ProxyConnection and return proxy response
+  // as the response of the request
+  if (proxy_res.status != StatusCode::OK_200) {
+    error = Error::ProxyConnection;
+    output_error_log(error, nullptr);
+    res = std::move(proxy_res);
+    // Thread-safe to close everything because we are assuming there are
+    // no requests in flight
+    shutdown_ssl(socket, true);
+    shutdown_socket(socket);
+    close_socket(socket);
+    return false;
+  }
+
+  return true;
+}
+
+bool SSLClient::ensure_socket_connection(Socket &socket, Error &error) {
+  if (!ClientImpl::ensure_socket_connection(socket, error)) { return false; }
+
+  if (!proxy_host_.empty() && proxy_port_ != -1) { return true; }
+
+  if (!initialize_ssl(socket, error)) {
+    shutdown_socket(socket);
+    close_socket(socket);
+    return false;
+  }
+
+  return true;
+}
+
+// SSL HTTP client implementation
+SSLClient::SSLClient(const std::string &host)
+    : SSLClient(host, 443, std::string(), std::string()) {}
+
+SSLClient::SSLClient(const std::string &host, int port)
+    : SSLClient(host, port, std::string(), std::string()) {}
+
+SSLClient::SSLClient(const std::string &host, int port,
+                            const std::string &client_cert_path,
+                            const std::string &client_key_path,
+                            const std::string &private_key_password)
+    : ClientImpl(host, port, client_cert_path, client_key_path) {
+  ctx_ = tls::create_client_context();
+  if (!ctx_) { return; }
+
+  tls::set_min_version(ctx_, tls::Version::TLS1_2);
+
+  if (!client_cert_path.empty() && !client_key_path.empty()) {
+    const char *password =
+        private_key_password.empty() ? nullptr : private_key_password.c_str();
+    if (!tls::set_client_cert_file(ctx_, client_cert_path.c_str(),
+                                   client_key_path.c_str(), password)) {
+      last_backend_error_ = tls::get_error();
+      tls::free_context(ctx_);
+      ctx_ = nullptr;
+    }
+  }
+}
+
+SSLClient::SSLClient(const std::string &host, int port,
+                            const PemMemory &pem)
+    : ClientImpl(host, port) {
+  ctx_ = tls::create_client_context();
+  if (!ctx_) { return; }
+
+  tls::set_min_version(ctx_, tls::Version::TLS1_2);
+
+  if (pem.cert_pem && pem.key_pem) {
+    if (!tls::set_client_cert_pem(ctx_, pem.cert_pem, pem.key_pem,
+                                  pem.private_key_password)) {
+      last_backend_error_ = tls::get_error();
+      tls::free_context(ctx_);
+      ctx_ = nullptr;
+    }
+  }
+}
+
+void SSLClient::set_ca_cert_store(tls::ca_store_t ca_cert_store) {
+  if (ca_cert_store && ctx_) {
+    // set_ca_store takes ownership of ca_cert_store
+    tls::set_ca_store(ctx_, ca_cert_store);
+  } else if (ca_cert_store) {
+    tls::free_ca_store(ca_cert_store);
+  }
+}
+
+void
+SSLClient::set_server_certificate_verifier(tls::VerifyCallback verifier) {
+  if (!ctx_) { return; }
+  tls::set_verify_callback(ctx_, verifier);
+}
+
+void SSLClient::set_session_verifier(
+    std::function<SSLVerifierResponse(tls::session_t)> verifier) {
+  session_verifier_ = std::move(verifier);
+}
+
+#ifdef CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+void SSLClient::enable_windows_certificate_verification(bool enabled) {
+  enable_windows_cert_verification_ = enabled;
+}
+#endif
+
+void SSLClient::load_ca_cert_store(const char *ca_cert,
+                                          std::size_t size) {
+  if (ctx_ && ca_cert && size > 0) {
+    ca_cert_pem_.assign(ca_cert, size); // Store for redirect transfer
+    tls::load_ca_pem(ctx_, ca_cert, size);
+  }
+}
+
+bool SSLClient::load_certs() {
+  auto ret = true;
+
+  std::call_once(initialize_cert_, [&]() {
+    std::lock_guard<std::mutex> guard(ctx_mutex_);
+
+    if (!ca_cert_file_path_.empty()) {
+      if (!tls::load_ca_file(ctx_, ca_cert_file_path_.c_str())) {
+        last_backend_error_ = tls::get_error();
+        ret = false;
+      }
+    } else if (!ca_cert_dir_path_.empty()) {
+      if (!tls::load_ca_dir(ctx_, ca_cert_dir_path_.c_str())) {
+        last_backend_error_ = tls::get_error();
+        ret = false;
+      }
+    } else if (ca_cert_pem_.empty()) {
+      if (!tls::load_system_certs(ctx_)) {
+        last_backend_error_ = tls::get_error();
+      }
+    }
+  });
+
+  return ret;
+}
+
+bool SSLClient::initialize_ssl(Socket &socket, Error &error) {
+  using namespace tls;
+
+  // Load CA certificates if server verification is enabled
+  if (server_certificate_verification_) {
+    if (!load_certs()) {
+      error = Error::SSLLoadingCerts;
+      output_error_log(error, nullptr);
+      return false;
+    }
+  }
+
+  bool is_ip = detail::is_ip_address(host_);
+
+#if defined(CPPHTTPLIB_MBEDTLS_SUPPORT) || defined(CPPHTTPLIB_WOLFSSL_SUPPORT)
+  // MbedTLS/wolfSSL need explicit verification mode (OpenSSL uses
+  // SSL_VERIFY_NONE by default and performs all verification post-handshake).
+  // For IP addresses with verification enabled, use OPTIONAL mode since
+  // these backends require hostname for strict verification.
+  if (is_ip && server_certificate_verification_) {
+    set_verify_client(ctx_, false);
+  } else {
+    set_verify_client(ctx_, server_certificate_verification_);
+  }
+#endif
+
+  // Create TLS session
+  session_t session = nullptr;
+  {
+    std::lock_guard<std::mutex> guard(ctx_mutex_);
+    session = create_session(ctx_, socket.sock);
+  }
+
+  if (!session) {
+    error = Error::SSLConnection;
+    last_backend_error_ = get_error();
+    return false;
+  }
+
+  // Use scope_exit to ensure session is freed on error paths
+  bool success = false;
+  auto session_guard = detail::scope_exit([&] {
+    if (!success) { free_session(session); }
+  });
+
+  // Set SNI extension (skip for IP addresses per RFC 6066).
+  // On MbedTLS, set_sni also enables hostname verification internally.
+  // On OpenSSL, set_sni only sets SNI; verification is done post-handshake.
+  if (!is_ip) {
+    if (!set_sni(session, host_.c_str())) {
+      error = Error::SSLConnection;
+      last_backend_error_ = get_error();
+      return false;
+    }
+  }
+
+  // Perform non-blocking TLS handshake with timeout
+  TlsError tls_err;
+  if (!connect_nonblocking(session, socket.sock, connection_timeout_sec_,
+                           connection_timeout_usec_, &tls_err)) {
+    last_ssl_error_ = static_cast<int>(tls_err.code);
+    last_backend_error_ = tls_err.backend_code;
+    if (tls_err.code == ErrorCode::CertVerifyFailed) {
+      error = Error::SSLServerVerification;
+    } else if (tls_err.code == ErrorCode::HostnameMismatch) {
+      error = Error::SSLServerHostnameVerification;
+    } else {
+      error = Error::SSLConnection;
+    }
+    output_error_log(error, nullptr);
+    return false;
+  }
+
+  // Post-handshake session verifier callback
+  auto verification_status = SSLVerifierResponse::NoDecisionMade;
+  if (session_verifier_) { verification_status = session_verifier_(session); }
+
+  if (verification_status == SSLVerifierResponse::CertificateRejected) {
+    last_backend_error_ = get_error();
+    error = Error::SSLServerVerification;
+    output_error_log(error, nullptr);
+    return false;
+  }
+
+  // Default server certificate verification
+  if (verification_status == SSLVerifierResponse::NoDecisionMade &&
+      server_certificate_verification_) {
+    verify_result_ = tls::get_verify_result(session);
+    if (verify_result_ != 0) {
+      last_backend_error_ = static_cast<uint64_t>(verify_result_);
+      error = Error::SSLServerVerification;
+      output_error_log(error, nullptr);
+      return false;
+    }
+
+    auto server_cert = get_peer_cert(session);
+    if (!server_cert) {
+      last_backend_error_ = get_error();
+      error = Error::SSLServerVerification;
+      output_error_log(error, nullptr);
+      return false;
+    }
+    auto cert_guard = detail::scope_exit([&] { free_cert(server_cert); });
+
+    // Hostname verification (post-handshake for all cases).
+    // On OpenSSL, verification is always post-handshake (SSL_VERIFY_NONE).
+    // On MbedTLS, set_sni already enabled hostname verification during
+    // handshake for non-IP hosts, but this check is still needed for IP
+    // addresses where SNI is not set.
+    if (server_hostname_verification_) {
+      if (!verify_hostname(server_cert, host_.c_str())) {
+        last_backend_error_ = hostname_mismatch_code();
+        error = Error::SSLServerHostnameVerification;
+        output_error_log(error, nullptr);
+        return false;
+      }
+    }
+
+#ifdef CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+    // Additional Windows Schannel verification.
+    // This provides real-time certificate validation with Windows Update
+    // integration, working with both OpenSSL and MbedTLS backends.
+    // Skip when a custom CA cert is specified, as the Windows certificate
+    // store would not know about user-provided CA certificates.
+    if (enable_windows_cert_verification_ && ca_cert_file_path_.empty() &&
+        ca_cert_dir_path_.empty() && ca_cert_pem_.empty()) {
+      std::vector<unsigned char> der;
+      if (get_cert_der(server_cert, der)) {
+        uint64_t wincrypt_error = 0;
+        if (!detail::verify_cert_with_windows_schannel(
+                der, host_, server_hostname_verification_, wincrypt_error)) {
+          last_backend_error_ = wincrypt_error;
+          error = Error::SSLServerVerification;
+          output_error_log(error, nullptr);
+          return false;
+        }
+      }
+    }
+#endif
+  }
+
+  success = true;
+  socket.ssl = session;
+  return true;
+}
+
+void Client::set_digest_auth(const std::string &username,
+                                    const std::string &password) {
+  cli_->set_digest_auth(username, password);
+}
+
+void Client::set_proxy_digest_auth(const std::string &username,
+                                          const std::string &password) {
+  cli_->set_proxy_digest_auth(username, password);
+}
+
+void Client::enable_server_certificate_verification(bool enabled) {
+  cli_->enable_server_certificate_verification(enabled);
+}
+
+void Client::enable_server_hostname_verification(bool enabled) {
+  cli_->enable_server_hostname_verification(enabled);
+}
+
+#ifdef CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+void Client::enable_windows_certificate_verification(bool enabled) {
+  if (is_ssl_) {
+    static_cast<SSLClient &>(*cli_).enable_windows_certificate_verification(
+        enabled);
+  }
+}
+#endif
+
+void Client::set_ca_cert_path(const std::string &ca_cert_file_path,
+                                     const std::string &ca_cert_dir_path) {
+  cli_->set_ca_cert_path(ca_cert_file_path, ca_cert_dir_path);
+}
+
+void Client::set_ca_cert_store(tls::ca_store_t ca_cert_store) {
+  if (is_ssl_) {
+    static_cast<SSLClient &>(*cli_).set_ca_cert_store(ca_cert_store);
+  } else if (ca_cert_store) {
+    tls::free_ca_store(ca_cert_store);
+  }
+}
+
+void Client::load_ca_cert_store(const char *ca_cert, std::size_t size) {
+  set_ca_cert_store(tls::create_ca_store(ca_cert, size));
+}
+
+void
+Client::set_server_certificate_verifier(tls::VerifyCallback verifier) {
+  if (is_ssl_) {
+    static_cast<SSLClient &>(*cli_).set_server_certificate_verifier(
+        std::move(verifier));
+  }
+}
+
+void Client::set_session_verifier(
+    std::function<SSLVerifierResponse(tls::session_t)> verifier) {
+  if (is_ssl_) {
+    static_cast<SSLClient &>(*cli_).set_session_verifier(std::move(verifier));
+  }
+}
+
+tls::ctx_t Client::tls_context() const {
+  if (is_ssl_) { return static_cast<SSLClient &>(*cli_).tls_context(); }
+  return nullptr;
+}
+
+#endif // CPPHTTPLIB_SSL_ENABLED
+
+/*
+ * Group 7: TLS abstraction layer - Common API
+ */
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+
+namespace tls {
+
+// Helper for PeerCert construction
+PeerCert get_peer_cert_from_session(const_session_t session) {
+  return PeerCert(get_peer_cert(session));
+}
+
+namespace impl {
+
+VerifyCallback &get_verify_callback() {
+  static thread_local VerifyCallback callback;
+  return callback;
+}
+
+VerifyCallback &get_mbedtls_verify_callback() {
+  static thread_local VerifyCallback callback;
+  return callback;
+}
+
+// Check if a string is an IPv4 address
+bool is_ipv4_address(const std::string &str) {
+  int dots = 0;
+  for (char c : str) {
+    if (c == '.') {
+      dots++;
+    } else if (!isdigit(static_cast<unsigned char>(c))) {
+      return false;
+    }
+  }
+  return dots == 3;
+}
+
+// Parse IPv4 address string to bytes
+bool parse_ipv4(const std::string &str, unsigned char *out) {
+  const char *p = str.c_str();
+  for (int i = 0; i < 4; i++) {
+    if (i > 0) {
+      if (*p != '.') { return false; }
+      p++;
+    }
+    int val = 0;
+    int digits = 0;
+    while (*p >= '0' && *p <= '9') {
+      val = val * 10 + (*p - '0');
+      if (val > 255) { return false; }
+      p++;
+      digits++;
+    }
+    if (digits == 0) { return false; }
+    // Reject leading zeros (e.g., "01.002.03.04") to prevent ambiguity
+    if (digits > 1 && *(p - digits) == '0') { return false; }
+    out[i] = static_cast<unsigned char>(val);
+  }
+  return *p == '\0';
+}
+
+#ifdef _WIN32
+// Enumerate Windows system certificates and call callback with DER data
+template <typename Callback>
+bool enumerate_windows_system_certs(Callback cb) {
+  bool loaded = false;
+  static const wchar_t *store_names[] = {L"ROOT", L"CA"};
+  for (auto store_name : store_names) {
+    HCERTSTORE hStore = CertOpenSystemStoreW(0, store_name);
+    if (hStore) {
+      PCCERT_CONTEXT pContext = nullptr;
+      while ((pContext = CertEnumCertificatesInStore(hStore, pContext)) !=
+             nullptr) {
+        if (cb(pContext->pbCertEncoded, pContext->cbCertEncoded)) {
+          loaded = true;
+        }
+      }
+      CertCloseStore(hStore, 0);
+    }
+  }
+  return loaded;
+}
+#endif
+
+#ifdef CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+// Enumerate macOS Keychain certificates and call callback with DER data
+template <typename Callback>
+bool enumerate_macos_keychain_certs(Callback cb) {
+  bool loaded = false;
+  CFArrayRef certs = nullptr;
+  OSStatus status = SecTrustCopyAnchorCertificates(&certs);
+  if (status == errSecSuccess && certs) {
+    CFIndex count = CFArrayGetCount(certs);
+    for (CFIndex i = 0; i < count; i++) {
+      SecCertificateRef cert =
+          (SecCertificateRef)CFArrayGetValueAtIndex(certs, i);
+      CFDataRef data = SecCertificateCopyData(cert);
+      if (data) {
+        if (cb(CFDataGetBytePtr(data),
+               static_cast<size_t>(CFDataGetLength(data)))) {
+          loaded = true;
+        }
+        CFRelease(data);
+      }
+    }
+    CFRelease(certs);
+  }
+  return loaded;
+}
+#endif
+
+#if !defined(_WIN32) && !(defined(__APPLE__) &&                                \
+                          defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN))
+// Common CA certificate file paths on Linux/Unix
+const char **system_ca_paths() {
+  static const char *paths[] = {
+      "/etc/ssl/certs/ca-certificates.crt", // Debian/Ubuntu
+      "/etc/pki/tls/certs/ca-bundle.crt",   // RHEL/CentOS
+      "/etc/ssl/ca-bundle.pem",             // OpenSUSE
+      "/etc/pki/tls/cacert.pem",            // OpenELEC
+      "/etc/ssl/cert.pem",                  // Alpine, FreeBSD
+      nullptr};
+  return paths;
+}
+
+// Common CA certificate directory paths on Linux/Unix
+const char **system_ca_dirs() {
+  static const char *dirs[] = {"/etc/ssl/certs",             // Debian/Ubuntu
+                               "/etc/pki/tls/certs",         // RHEL/CentOS
+                               "/usr/share/ca-certificates", // Other
+                               nullptr};
+  return dirs;
+}
+#endif
+
+} // namespace impl
+
+bool set_client_ca_file(ctx_t ctx, const char *ca_file,
+                               const char *ca_dir) {
+  if (!ctx) { return false; }
+
+  bool success = true;
+  if (ca_file && *ca_file) {
+    if (!load_ca_file(ctx, ca_file)) { success = false; }
+  }
+  if (ca_dir && *ca_dir) {
+    if (!load_ca_dir(ctx, ca_dir)) { success = false; }
+  }
+
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+  // Set CA list for client certificate request (CertificateRequest message)
+  if (ca_file && *ca_file) {
+    auto list = SSL_load_client_CA_file(ca_file);
+    if (list) { SSL_CTX_set_client_CA_list(static_cast<SSL_CTX *>(ctx), list); }
+  }
+#endif
+
+  return success;
+}
+
+bool set_server_cert_pem(ctx_t ctx, const char *cert, const char *key,
+                                const char *password) {
+  return set_client_cert_pem(ctx, cert, key, password);
+}
+
+bool set_server_cert_file(ctx_t ctx, const char *cert_path,
+                                 const char *key_path, const char *password) {
+  return set_client_cert_file(ctx, cert_path, key_path, password);
+}
+
+// PeerCert implementation
+PeerCert::PeerCert() = default;
+
+PeerCert::PeerCert(cert_t cert) : cert_(cert) {}
+
+PeerCert::PeerCert(PeerCert &&other) noexcept : cert_(other.cert_) {
+  other.cert_ = nullptr;
+}
+
+PeerCert &PeerCert::operator=(PeerCert &&other) noexcept {
+  if (this != &other) {
+    if (cert_) { free_cert(cert_); }
+    cert_ = other.cert_;
+    other.cert_ = nullptr;
+  }
+  return *this;
+}
+
+PeerCert::~PeerCert() {
+  if (cert_) { free_cert(cert_); }
+}
+
+PeerCert::operator bool() const { return cert_ != nullptr; }
+
+std::string PeerCert::subject_cn() const {
+  return cert_ ? get_cert_subject_cn(cert_) : std::string();
+}
+
+std::string PeerCert::issuer_name() const {
+  return cert_ ? get_cert_issuer_name(cert_) : std::string();
+}
+
+bool PeerCert::check_hostname(const char *hostname) const {
+  return cert_ ? verify_hostname(cert_, hostname) : false;
+}
+
+std::vector<SanEntry> PeerCert::sans() const {
+  std::vector<SanEntry> result;
+  if (cert_) { get_cert_sans(cert_, result); }
+  return result;
+}
+
+bool PeerCert::validity(time_t &not_before, time_t &not_after) const {
+  return cert_ ? get_cert_validity(cert_, not_before, not_after) : false;
+}
+
+std::string PeerCert::serial() const {
+  return cert_ ? get_cert_serial(cert_) : std::string();
+}
+
+// VerifyContext method implementations
+std::string VerifyContext::subject_cn() const {
+  return cert ? get_cert_subject_cn(cert) : std::string();
+}
+
+std::string VerifyContext::issuer_name() const {
+  return cert ? get_cert_issuer_name(cert) : std::string();
+}
+
+bool VerifyContext::check_hostname(const char *hostname) const {
+  return cert ? verify_hostname(cert, hostname) : false;
+}
+
+std::vector<SanEntry> VerifyContext::sans() const {
+  std::vector<SanEntry> result;
+  if (cert) { get_cert_sans(cert, result); }
+  return result;
+}
+
+bool VerifyContext::validity(time_t &not_before,
+                                    time_t &not_after) const {
+  return cert ? get_cert_validity(cert, not_before, not_after) : false;
+}
+
+std::string VerifyContext::serial() const {
+  return cert ? get_cert_serial(cert) : std::string();
+}
+
+// TlsError static method implementation
+std::string TlsError::verify_error_to_string(long error_code) {
+  return verify_error_string(error_code);
+}
+
+} // namespace tls
+
+// Request::peer_cert() implementation
+tls::PeerCert Request::peer_cert() const {
+  return tls::get_peer_cert_from_session(ssl);
+}
+
+// Request::sni() implementation
+std::string Request::sni() const {
+  if (!ssl) { return std::string(); }
+  const char *s = tls::get_sni(ssl);
+  return s ? std::string(s) : std::string();
+}
+
+#endif // CPPHTTPLIB_SSL_ENABLED
+
+/*
+ * Group 8: TLS abstraction layer - OpenSSL backend
+ */
+
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+SSL_CTX *Client::ssl_context() const {
+  if (is_ssl_) { return static_cast<SSLClient &>(*cli_).ssl_context(); }
+  return nullptr;
+}
+
+void Client::set_server_certificate_verifier(
+    std::function<SSLVerifierResponse(SSL *ssl)> verifier) {
+  cli_->set_server_certificate_verifier(verifier);
+}
 
-  if (ctx_) {
-    SSL_CTX_set_options(ctx_,
-                        SSL_OP_NO_COMPRESSION |
-                            SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION);
+long Client::get_verify_result() const {
+  if (is_ssl_) { return static_cast<SSLClient &>(*cli_).get_verify_result(); }
+  return -1; // NOTE: -1 doesn't match any of X509_V_ERR_???
+}
+#endif // CPPHTTPLIB_OPENSSL_SUPPORT
 
-    SSL_CTX_set_min_proto_version(ctx_, TLS1_2_VERSION);
+/*
+ * OpenSSL Backend Implementation
+ */
 
-    if (private_key_password != nullptr && (private_key_password[0] != '\0')) {
-      SSL_CTX_set_default_passwd_cb_userdata(
-          ctx_,
-          reinterpret_cast<void *>(const_cast<char *>(private_key_password)));
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+namespace tls {
+
+namespace impl {
+
+// OpenSSL-specific helpers for converting native types to PEM
+std::string x509_to_pem(X509 *cert) {
+  if (!cert) return {};
+  BIO *bio = BIO_new(BIO_s_mem());
+  if (!bio) return {};
+  if (PEM_write_bio_X509(bio, cert) != 1) {
+    BIO_free(bio);
+    return {};
+  }
+  char *data = nullptr;
+  long len = BIO_get_mem_data(bio, &data);
+  std::string pem(data, static_cast<size_t>(len));
+  BIO_free(bio);
+  return pem;
+}
+
+std::string evp_pkey_to_pem(EVP_PKEY *key) {
+  if (!key) return {};
+  BIO *bio = BIO_new(BIO_s_mem());
+  if (!bio) return {};
+  if (PEM_write_bio_PrivateKey(bio, key, nullptr, nullptr, 0, nullptr,
+                               nullptr) != 1) {
+    BIO_free(bio);
+    return {};
+  }
+  char *data = nullptr;
+  long len = BIO_get_mem_data(bio, &data);
+  std::string pem(data, static_cast<size_t>(len));
+  BIO_free(bio);
+  return pem;
+}
+
+std::string x509_store_to_pem(X509_STORE *store) {
+  if (!store) return {};
+  std::string pem;
+  auto objs = X509_STORE_get0_objects(store);
+  if (!objs) return {};
+  auto count = sk_X509_OBJECT_num(objs);
+  for (decltype(count) i = 0; i < count; i++) {
+    auto obj = sk_X509_OBJECT_value(objs, i);
+    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
+      auto cert = X509_OBJECT_get0_X509(obj);
+      if (cert) { pem += x509_to_pem(cert); }
     }
+  }
+  return pem;
+}
 
-    if (SSL_CTX_use_certificate_chain_file(ctx_, cert_path) != 1 ||
-        SSL_CTX_use_PrivateKey_file(ctx_, private_key_path, SSL_FILETYPE_PEM) !=
-            1 ||
-        SSL_CTX_check_private_key(ctx_) != 1) {
-      last_ssl_error_ = static_cast<int>(ERR_get_error());
-      SSL_CTX_free(ctx_);
-      ctx_ = nullptr;
-    } else if (client_ca_cert_file_path || client_ca_cert_dir_path) {
-      SSL_CTX_load_verify_locations(ctx_, client_ca_cert_file_path,
-                                    client_ca_cert_dir_path);
-
-      // Set client CA list to be sent to clients during TLS handshake
-      if (client_ca_cert_file_path) {
-        auto ca_list = SSL_load_client_CA_file(client_ca_cert_file_path);
-        if (ca_list != nullptr) {
-          SSL_CTX_set_client_CA_list(ctx_, ca_list);
-        } else {
-          // Failed to load client CA list, but we continue since
-          // SSL_CTX_load_verify_locations already succeeded and
-          // certificate verification will still work
-          last_ssl_error_ = static_cast<int>(ERR_get_error());
+// Helper to map OpenSSL SSL_get_error to ErrorCode
+ErrorCode map_ssl_error(int ssl_error, int &out_errno) {
+  switch (ssl_error) {
+  case SSL_ERROR_NONE: return ErrorCode::Success;
+  case SSL_ERROR_WANT_READ: return ErrorCode::WantRead;
+  case SSL_ERROR_WANT_WRITE: return ErrorCode::WantWrite;
+  case SSL_ERROR_ZERO_RETURN: return ErrorCode::PeerClosed;
+  case SSL_ERROR_SYSCALL: out_errno = errno; return ErrorCode::SyscallError;
+  case SSL_ERROR_SSL:
+  default: return ErrorCode::Fatal;
+  }
+}
+
+// Helper: Create client CA list from PEM string
+// Returns a new STACK_OF(X509_NAME)* or nullptr on failure
+// Caller takes ownership of returned list
+STACK_OF(X509_NAME) *
+    create_client_ca_list_from_pem(const char *ca_pem) {
+  if (!ca_pem) { return nullptr; }
+
+  auto ca_list = sk_X509_NAME_new_null();
+  if (!ca_list) { return nullptr; }
+
+  BIO *bio = BIO_new_mem_buf(ca_pem, -1);
+  if (!bio) {
+    sk_X509_NAME_pop_free(ca_list, X509_NAME_free);
+    return nullptr;
+  }
+
+  X509 *cert = nullptr;
+  while ((cert = PEM_read_bio_X509(bio, nullptr, nullptr, nullptr)) !=
+         nullptr) {
+    X509_NAME *name = X509_get_subject_name(cert);
+    if (name) { sk_X509_NAME_push(ca_list, X509_NAME_dup(name)); }
+    X509_free(cert);
+  }
+  BIO_free(bio);
+
+  return ca_list;
+}
+
+// Helper: Extract CA names from X509_STORE
+// Returns a new STACK_OF(X509_NAME)* or nullptr on failure
+// Caller takes ownership of returned list
+STACK_OF(X509_NAME) *
+    extract_client_ca_list_from_store(X509_STORE *store) {
+  if (!store) { return nullptr; }
+
+  auto ca_list = sk_X509_NAME_new_null();
+  if (!ca_list) { return nullptr; }
+
+  auto objs = X509_STORE_get0_objects(store);
+  if (!objs) {
+    sk_X509_NAME_free(ca_list);
+    return nullptr;
+  }
+
+  auto count = sk_X509_OBJECT_num(objs);
+  for (decltype(count) i = 0; i < count; i++) {
+    auto obj = sk_X509_OBJECT_value(objs, i);
+    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
+      auto cert = X509_OBJECT_get0_X509(obj);
+      if (cert) {
+        auto subject = X509_get_subject_name(cert);
+        if (subject) {
+          auto name_dup = X509_NAME_dup(subject);
+          if (name_dup) { sk_X509_NAME_push(ca_list, name_dup); }
         }
       }
+    }
+  }
+
+  if (sk_X509_NAME_num(ca_list) == 0) {
+    sk_X509_NAME_free(ca_list);
+    return nullptr;
+  }
+
+  return ca_list;
+}
+
+// OpenSSL verify callback wrapper
+int openssl_verify_callback(int preverify_ok, X509_STORE_CTX *ctx) {
+  auto &callback = get_verify_callback();
+  if (!callback) { return preverify_ok; }
+
+  // Get SSL object from X509_STORE_CTX
+  auto ssl = static_cast<SSL *>(
+      X509_STORE_CTX_get_ex_data(ctx, SSL_get_ex_data_X509_STORE_CTX_idx()));
+  if (!ssl) { return preverify_ok; }
+
+  // Get current certificate and depth
+  auto cert = X509_STORE_CTX_get_current_cert(ctx);
+  int depth = X509_STORE_CTX_get_error_depth(ctx);
+  int error = X509_STORE_CTX_get_error(ctx);
+
+  // Build context
+  VerifyContext verify_ctx;
+  verify_ctx.session = static_cast<session_t>(ssl);
+  verify_ctx.cert = static_cast<cert_t>(cert);
+  verify_ctx.depth = depth;
+  verify_ctx.preverify_ok = (preverify_ok != 0);
+  verify_ctx.error_code = error;
+  verify_ctx.error_string =
+      (error != X509_V_OK) ? X509_verify_cert_error_string(error) : nullptr;
+
+  return callback(verify_ctx) ? 1 : 0;
+}
+
+} // namespace impl
+
+ctx_t create_client_context() {
+  SSL_CTX *ctx = SSL_CTX_new(TLS_client_method());
+  if (ctx) {
+    // Disable auto-retry to properly handle non-blocking I/O
+    SSL_CTX_clear_mode(ctx, SSL_MODE_AUTO_RETRY);
+    // Set minimum TLS version
+    SSL_CTX_set_min_proto_version(ctx, TLS1_2_VERSION);
+  }
+  return static_cast<ctx_t>(ctx);
+}
+
+void free_context(ctx_t ctx) {
+  if (ctx) { SSL_CTX_free(static_cast<SSL_CTX *>(ctx)); }
+}
+
+bool set_min_version(ctx_t ctx, Version version) {
+  if (!ctx) return false;
+  return SSL_CTX_set_min_proto_version(static_cast<SSL_CTX *>(ctx),
+                                       static_cast<int>(version)) == 1;
+}
+
+bool load_ca_pem(ctx_t ctx, const char *pem, size_t len) {
+  if (!ctx || !pem || len == 0) return false;
+
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+  auto store = SSL_CTX_get_cert_store(ssl_ctx);
+  if (!store) return false;
+
+  auto bio = BIO_new_mem_buf(pem, static_cast<int>(len));
+  if (!bio) return false;
+
+  bool ok = true;
+  X509 *cert = nullptr;
+  while ((cert = PEM_read_bio_X509(bio, nullptr, nullptr, nullptr)) !=
+         nullptr) {
+    if (X509_STORE_add_cert(store, cert) != 1) {
+      // Ignore duplicate errors
+      auto err = ERR_peek_last_error();
+      if (ERR_GET_REASON(err) != X509_R_CERT_ALREADY_IN_HASH_TABLE) {
+        ok = false;
+      }
+    }
+    X509_free(cert);
+    if (!ok) break;
+  }
+  BIO_free(bio);
+
+  // Clear any "no more certificates" errors
+  ERR_clear_error();
+  return ok;
+}
+
+bool load_ca_file(ctx_t ctx, const char *file_path) {
+  if (!ctx || !file_path) return false;
+  return SSL_CTX_load_verify_locations(static_cast<SSL_CTX *>(ctx), file_path,
+                                       nullptr) == 1;
+}
+
+bool load_ca_dir(ctx_t ctx, const char *dir_path) {
+  if (!ctx || !dir_path) return false;
+  return SSL_CTX_load_verify_locations(static_cast<SSL_CTX *>(ctx), nullptr,
+                                       dir_path) == 1;
+}
+
+bool load_system_certs(ctx_t ctx) {
+  if (!ctx) return false;
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+
+#ifdef _WIN32
+  // Windows: Load from system certificate store (ROOT and CA)
+  auto store = SSL_CTX_get_cert_store(ssl_ctx);
+  if (!store) return false;
+
+  bool loaded_any = false;
+  static const wchar_t *store_names[] = {L"ROOT", L"CA"};
+  for (auto store_name : store_names) {
+    auto hStore = CertOpenSystemStoreW(NULL, store_name);
+    if (!hStore) continue;
+
+    PCCERT_CONTEXT pContext = nullptr;
+    while ((pContext = CertEnumCertificatesInStore(hStore, pContext)) !=
+           nullptr) {
+      const unsigned char *data = pContext->pbCertEncoded;
+      auto x509 = d2i_X509(nullptr, &data, pContext->cbCertEncoded);
+      if (x509) {
+        if (X509_STORE_add_cert(store, x509) == 1) { loaded_any = true; }
+        X509_free(x509);
+      }
+    }
+    CertCloseStore(hStore, 0);
+  }
+  return loaded_any;
+
+#elif defined(__APPLE__)
+#ifdef CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+  // macOS: Load from Keychain
+  auto store = SSL_CTX_get_cert_store(ssl_ctx);
+  if (!store) return false;
+
+  CFArrayRef certs = nullptr;
+  if (SecTrustCopyAnchorCertificates(&certs) != errSecSuccess || !certs) {
+    return SSL_CTX_set_default_verify_paths(ssl_ctx) == 1;
+  }
+
+  bool loaded_any = false;
+  auto count = CFArrayGetCount(certs);
+  for (CFIndex i = 0; i < count; i++) {
+    auto cert = reinterpret_cast<SecCertificateRef>(
+        const_cast<void *>(CFArrayGetValueAtIndex(certs, i)));
+    CFDataRef der = SecCertificateCopyData(cert);
+    if (der) {
+      const unsigned char *data = CFDataGetBytePtr(der);
+      auto x509 = d2i_X509(nullptr, &data, CFDataGetLength(der));
+      if (x509) {
+        if (X509_STORE_add_cert(store, x509) == 1) { loaded_any = true; }
+        X509_free(x509);
+      }
+      CFRelease(der);
+    }
+  }
+  CFRelease(certs);
+  return loaded_any || SSL_CTX_set_default_verify_paths(ssl_ctx) == 1;
+#else
+  return SSL_CTX_set_default_verify_paths(ssl_ctx) == 1;
+#endif
+
+#else
+  // Other Unix: use default verify paths
+  return SSL_CTX_set_default_verify_paths(ssl_ctx) == 1;
+#endif
+}
+
+bool set_client_cert_pem(ctx_t ctx, const char *cert, const char *key,
+                                const char *password) {
+  if (!ctx || !cert || !key) return false;
+
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+
+  // Load certificate
+  auto cert_bio = BIO_new_mem_buf(cert, -1);
+  if (!cert_bio) return false;
+
+  auto x509 = PEM_read_bio_X509(cert_bio, nullptr, nullptr, nullptr);
+  BIO_free(cert_bio);
+  if (!x509) return false;
+
+  auto cert_ok = SSL_CTX_use_certificate(ssl_ctx, x509) == 1;
+  X509_free(x509);
+  if (!cert_ok) return false;
+
+  // Load private key
+  auto key_bio = BIO_new_mem_buf(key, -1);
+  if (!key_bio) return false;
+
+  auto pkey = PEM_read_bio_PrivateKey(key_bio, nullptr, nullptr,
+                                      password ? const_cast<char *>(password)
+                                               : nullptr);
+  BIO_free(key_bio);
+  if (!pkey) return false;
+
+  auto key_ok = SSL_CTX_use_PrivateKey(ssl_ctx, pkey) == 1;
+  EVP_PKEY_free(pkey);
+
+  return key_ok && SSL_CTX_check_private_key(ssl_ctx) == 1;
+}
+
+bool set_client_cert_file(ctx_t ctx, const char *cert_path,
+                                 const char *key_path, const char *password) {
+  if (!ctx || !cert_path || !key_path) return false;
+
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+
+  if (password && password[0] != '\0') {
+    SSL_CTX_set_default_passwd_cb_userdata(
+        ssl_ctx, reinterpret_cast<void *>(const_cast<char *>(password)));
+  }
+
+  return SSL_CTX_use_certificate_chain_file(ssl_ctx, cert_path) == 1 &&
+         SSL_CTX_use_PrivateKey_file(ssl_ctx, key_path, SSL_FILETYPE_PEM) == 1;
+}
+
+ctx_t create_server_context() {
+  SSL_CTX *ctx = SSL_CTX_new(TLS_server_method());
+  if (ctx) {
+    SSL_CTX_set_options(ctx, SSL_OP_NO_COMPRESSION |
+                                 SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION);
+    SSL_CTX_set_min_proto_version(ctx, TLS1_2_VERSION);
+  }
+  return static_cast<ctx_t>(ctx);
+}
+
+void set_verify_client(ctx_t ctx, bool require) {
+  if (!ctx) return;
+  SSL_CTX_set_verify(static_cast<SSL_CTX *>(ctx),
+                     require
+                         ? (SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT)
+                         : SSL_VERIFY_NONE,
+                     nullptr);
+}
+
+session_t create_session(ctx_t ctx, socket_t sock) {
+  if (!ctx || sock == INVALID_SOCKET) return nullptr;
+
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+  SSL *ssl = SSL_new(ssl_ctx);
+  if (!ssl) return nullptr;
+
+  // Disable auto-retry for proper non-blocking I/O handling
+  SSL_clear_mode(ssl, SSL_MODE_AUTO_RETRY);
+
+  auto bio = BIO_new_socket(static_cast<int>(sock), BIO_NOCLOSE);
+  if (!bio) {
+    SSL_free(ssl);
+    return nullptr;
+  }
+
+  SSL_set_bio(ssl, bio, bio);
+  return static_cast<session_t>(ssl);
+}
+
+void free_session(session_t session) {
+  if (session) { SSL_free(static_cast<SSL *>(session)); }
+}
+
+bool set_sni(session_t session, const char *hostname) {
+  if (!session || !hostname) return false;
+
+  auto ssl = static_cast<SSL *>(session);
+
+  // Set SNI (Server Name Indication) only - does not enable verification
+#if defined(OPENSSL_IS_BORINGSSL)
+  return SSL_set_tlsext_host_name(ssl, hostname) == 1;
+#else
+  // Direct call instead of macro to suppress -Wold-style-cast warning
+  return SSL_ctrl(ssl, SSL_CTRL_SET_TLSEXT_HOSTNAME, TLSEXT_NAMETYPE_host_name,
+                  static_cast<void *>(const_cast<char *>(hostname))) == 1;
+#endif
+}
+
+bool set_hostname(session_t session, const char *hostname) {
+  if (!session || !hostname) return false;
+
+  auto ssl = static_cast<SSL *>(session);
+
+  // Set SNI (Server Name Indication)
+  if (!set_sni(session, hostname)) { return false; }
+
+  // Enable hostname verification
+  auto param = SSL_get0_param(ssl);
+  if (!param) return false;
+
+  X509_VERIFY_PARAM_set_hostflags(param, X509_CHECK_FLAG_NO_PARTIAL_WILDCARDS);
+  if (X509_VERIFY_PARAM_set1_host(param, hostname, 0) != 1) { return false; }
+
+  SSL_set_verify(ssl, SSL_VERIFY_PEER, nullptr);
+  return true;
+}
+
+TlsError connect(session_t session) {
+  if (!session) { return TlsError(); }
+
+  auto ssl = static_cast<SSL *>(session);
+  auto ret = SSL_connect(ssl);
+
+  TlsError err;
+  if (ret == 1) {
+    err.code = ErrorCode::Success;
+  } else {
+    auto ssl_err = SSL_get_error(ssl, ret);
+    err.code = impl::map_ssl_error(ssl_err, err.sys_errno);
+    err.backend_code = ERR_get_error();
+  }
+  return err;
+}
+
+TlsError accept(session_t session) {
+  if (!session) { return TlsError(); }
+
+  auto ssl = static_cast<SSL *>(session);
+  auto ret = SSL_accept(ssl);
+
+  TlsError err;
+  if (ret == 1) {
+    err.code = ErrorCode::Success;
+  } else {
+    auto ssl_err = SSL_get_error(ssl, ret);
+    err.code = impl::map_ssl_error(ssl_err, err.sys_errno);
+    err.backend_code = ERR_get_error();
+  }
+  return err;
+}
+
+bool connect_nonblocking(session_t session, socket_t sock,
+                                time_t timeout_sec, time_t timeout_usec,
+                                TlsError *err) {
+  if (!session) {
+    if (err) { err->code = ErrorCode::Fatal; }
+    return false;
+  }
+
+  auto ssl = static_cast<SSL *>(session);
+  auto bio = SSL_get_rbio(ssl);
+
+  // Set non-blocking mode for handshake
+  detail::set_nonblocking(sock, true);
+  if (bio) { BIO_set_nbio(bio, 1); }
+
+  auto cleanup = detail::scope_exit([&]() {
+    // Restore blocking mode after handshake
+    if (bio) { BIO_set_nbio(bio, 0); }
+    detail::set_nonblocking(sock, false);
+  });
+
+  auto res = 0;
+  while ((res = SSL_connect(ssl)) != 1) {
+    auto ssl_err = SSL_get_error(ssl, res);
+    switch (ssl_err) {
+    case SSL_ERROR_WANT_READ:
+      if (detail::select_read(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+      break;
+    case SSL_ERROR_WANT_WRITE:
+      if (detail::select_write(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+      break;
+    default: break;
+    }
+    if (err) {
+      err->code = impl::map_ssl_error(ssl_err, err->sys_errno);
+      err->backend_code = ERR_get_error();
+    }
+    return false;
+  }
+  if (err) { err->code = ErrorCode::Success; }
+  return true;
+}
+
+bool accept_nonblocking(session_t session, socket_t sock,
+                               time_t timeout_sec, time_t timeout_usec,
+                               TlsError *err) {
+  if (!session) {
+    if (err) { err->code = ErrorCode::Fatal; }
+    return false;
+  }
+
+  auto ssl = static_cast<SSL *>(session);
+  auto bio = SSL_get_rbio(ssl);
+
+  // Set non-blocking mode for handshake
+  detail::set_nonblocking(sock, true);
+  if (bio) { BIO_set_nbio(bio, 1); }
+
+  auto cleanup = detail::scope_exit([&]() {
+    // Restore blocking mode after handshake
+    if (bio) { BIO_set_nbio(bio, 0); }
+    detail::set_nonblocking(sock, false);
+  });
+
+  auto res = 0;
+  while ((res = SSL_accept(ssl)) != 1) {
+    auto ssl_err = SSL_get_error(ssl, res);
+    switch (ssl_err) {
+    case SSL_ERROR_WANT_READ:
+      if (detail::select_read(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+      break;
+    case SSL_ERROR_WANT_WRITE:
+      if (detail::select_write(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+      break;
+    default: break;
+    }
+    if (err) {
+      err->code = impl::map_ssl_error(ssl_err, err->sys_errno);
+      err->backend_code = ERR_get_error();
+    }
+    return false;
+  }
+  if (err) { err->code = ErrorCode::Success; }
+  return true;
+}
+
+ssize_t read(session_t session, void *buf, size_t len, TlsError &err) {
+  if (!session || !buf) {
+    err.code = ErrorCode::Fatal;
+    return -1;
+  }
+
+  auto ssl = static_cast<SSL *>(session);
+  constexpr auto max_len =
+      static_cast<size_t>((std::numeric_limits<int>::max)());
+  if (len > max_len) { len = max_len; }
+  auto ret = SSL_read(ssl, buf, static_cast<int>(len));
+
+  if (ret > 0) {
+    err.code = ErrorCode::Success;
+    return ret;
+  }
+
+  auto ssl_err = SSL_get_error(ssl, ret);
+  err.code = impl::map_ssl_error(ssl_err, err.sys_errno);
+  if (err.code == ErrorCode::Fatal) { err.backend_code = ERR_get_error(); }
+  return -1;
+}
+
+ssize_t write(session_t session, const void *buf, size_t len,
+                     TlsError &err) {
+  if (!session || !buf) {
+    err.code = ErrorCode::Fatal;
+    return -1;
+  }
+
+  auto ssl = static_cast<SSL *>(session);
+  auto ret = SSL_write(ssl, buf, static_cast<int>(len));
+
+  if (ret > 0) {
+    err.code = ErrorCode::Success;
+    return ret;
+  }
+
+  auto ssl_err = SSL_get_error(ssl, ret);
+  err.code = impl::map_ssl_error(ssl_err, err.sys_errno);
+  if (err.code == ErrorCode::Fatal) { err.backend_code = ERR_get_error(); }
+  return -1;
+}
+
+int pending(const_session_t session) {
+  if (!session) return 0;
+  return SSL_pending(static_cast<SSL *>(const_cast<void *>(session)));
+}
+
+void shutdown(session_t session, bool graceful) {
+  if (!session) return;
+
+  auto ssl = static_cast<SSL *>(session);
+  if (graceful) {
+    // First call sends close_notify
+    if (SSL_shutdown(ssl) == 0) {
+      // Second call waits for peer's close_notify
+      SSL_shutdown(ssl);
+    }
+  }
+}
+
+bool is_peer_closed(session_t session, socket_t sock) {
+  if (!session) return true;
+
+  // Temporarily set socket to non-blocking to avoid blocking on SSL_peek
+  detail::set_nonblocking(sock, true);
+  auto se = detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+
+  auto ssl = static_cast<SSL *>(session);
+  char buf;
+  auto ret = SSL_peek(ssl, &buf, 1);
+  if (ret > 0) return false;
 
-      SSL_CTX_set_verify(
-          ctx_, SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT, nullptr);
-    }
-  }
+  auto err = SSL_get_error(ssl, ret);
+  return err == SSL_ERROR_ZERO_RETURN;
 }
 
-SSLServer::SSLServer(X509 *cert, EVP_PKEY *private_key,
-                            X509_STORE *client_ca_cert_store) {
-  ctx_ = SSL_CTX_new(TLS_server_method());
-
-  if (ctx_) {
-    SSL_CTX_set_options(ctx_,
-                        SSL_OP_NO_COMPRESSION |
-                            SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION);
+cert_t get_peer_cert(const_session_t session) {
+  if (!session) return nullptr;
+  return static_cast<cert_t>(SSL_get1_peer_certificate(
+      static_cast<SSL *>(const_cast<void *>(session))));
+}
 
-    SSL_CTX_set_min_proto_version(ctx_, TLS1_2_VERSION);
+void free_cert(cert_t cert) {
+  if (cert) { X509_free(static_cast<X509 *>(cert)); }
+}
 
-    if (SSL_CTX_use_certificate(ctx_, cert) != 1 ||
-        SSL_CTX_use_PrivateKey(ctx_, private_key) != 1) {
-      SSL_CTX_free(ctx_);
-      ctx_ = nullptr;
-    } else if (client_ca_cert_store) {
-      SSL_CTX_set_cert_store(ctx_, client_ca_cert_store);
+bool verify_hostname(cert_t cert, const char *hostname) {
+  if (!cert || !hostname) return false;
 
-      // Extract CA names from the store and set them as the client CA list
-      auto ca_list = extract_ca_names_from_x509_store(client_ca_cert_store);
-      if (ca_list) {
-        SSL_CTX_set_client_CA_list(ctx_, ca_list);
-      } else {
-        // Failed to extract CA names, record the error
-        last_ssl_error_ = static_cast<int>(ERR_get_error());
-      }
+  auto x509 = static_cast<X509 *>(cert);
 
-      SSL_CTX_set_verify(
-          ctx_, SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT, nullptr);
-    }
+  // Use X509_check_ip_asc for IP addresses, X509_check_host for DNS names
+  if (detail::is_ip_address(hostname)) {
+    return X509_check_ip_asc(x509, hostname, 0) == 1;
   }
+  return X509_check_host(x509, hostname, strlen(hostname), 0, nullptr) == 1;
 }
 
-SSLServer::SSLServer(
-    const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback) {
-  ctx_ = SSL_CTX_new(TLS_method());
-  if (ctx_) {
-    if (!setup_ssl_ctx_callback(*ctx_)) {
-      SSL_CTX_free(ctx_);
-      ctx_ = nullptr;
-    }
-  }
+uint64_t hostname_mismatch_code() {
+  return static_cast<uint64_t>(X509_V_ERR_HOSTNAME_MISMATCH);
 }
 
-SSLServer::~SSLServer() {
-  if (ctx_) { SSL_CTX_free(ctx_); }
+long get_verify_result(const_session_t session) {
+  if (!session) return X509_V_ERR_UNSPECIFIED;
+  return SSL_get_verify_result(static_cast<SSL *>(const_cast<void *>(session)));
 }
 
-bool SSLServer::is_valid() const { return ctx_; }
+std::string get_cert_subject_cn(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<X509 *>(cert);
+  auto subject_name = X509_get_subject_name(x509);
+  if (!subject_name) return "";
 
-SSL_CTX *SSLServer::ssl_context() const { return ctx_; }
+  char buf[256];
+  auto len =
+      X509_NAME_get_text_by_NID(subject_name, NID_commonName, buf, sizeof(buf));
+  if (len < 0) return "";
+  return std::string(buf, static_cast<size_t>(len));
+}
 
-void SSLServer::update_certs(X509 *cert, EVP_PKEY *private_key,
-                                    X509_STORE *client_ca_cert_store) {
+std::string get_cert_issuer_name(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<X509 *>(cert);
+  auto issuer_name = X509_get_issuer_name(x509);
+  if (!issuer_name) return "";
 
-  std::lock_guard<std::mutex> guard(ctx_mutex_);
+  char buf[256];
+  X509_NAME_oneline(issuer_name, buf, sizeof(buf));
+  return std::string(buf);
+}
 
-  SSL_CTX_use_certificate(ctx_, cert);
-  SSL_CTX_use_PrivateKey(ctx_, private_key);
+bool get_cert_sans(cert_t cert, std::vector<SanEntry> &sans) {
+  sans.clear();
+  if (!cert) return false;
+  auto x509 = static_cast<X509 *>(cert);
+
+  auto names = static_cast<GENERAL_NAMES *>(
+      X509_get_ext_d2i(x509, NID_subject_alt_name, nullptr, nullptr));
+  if (!names) return true; // No SANs is valid
+
+  auto count = sk_GENERAL_NAME_num(names);
+  for (decltype(count) i = 0; i < count; i++) {
+    auto gen = sk_GENERAL_NAME_value(names, i);
+    if (!gen) continue;
+
+    SanEntry entry;
+    switch (gen->type) {
+    case GEN_DNS:
+      entry.type = SanType::DNS;
+      if (gen->d.dNSName) {
+        entry.value = std::string(
+            reinterpret_cast<const char *>(
+                ASN1_STRING_get0_data(gen->d.dNSName)),
+            static_cast<size_t>(ASN1_STRING_length(gen->d.dNSName)));
+      }
+      break;
+    case GEN_IPADD:
+      entry.type = SanType::IP;
+      if (gen->d.iPAddress) {
+        auto data = ASN1_STRING_get0_data(gen->d.iPAddress);
+        auto len = ASN1_STRING_length(gen->d.iPAddress);
+        if (len == 4) {
+          // IPv4
+          char buf[INET_ADDRSTRLEN];
+          inet_ntop(AF_INET, data, buf, sizeof(buf));
+          entry.value = buf;
+        } else if (len == 16) {
+          // IPv6
+          char buf[INET6_ADDRSTRLEN];
+          inet_ntop(AF_INET6, data, buf, sizeof(buf));
+          entry.value = buf;
+        }
+      }
+      break;
+    case GEN_EMAIL:
+      entry.type = SanType::EMAIL;
+      if (gen->d.rfc822Name) {
+        entry.value = std::string(
+            reinterpret_cast<const char *>(
+                ASN1_STRING_get0_data(gen->d.rfc822Name)),
+            static_cast<size_t>(ASN1_STRING_length(gen->d.rfc822Name)));
+      }
+      break;
+    case GEN_URI:
+      entry.type = SanType::URI;
+      if (gen->d.uniformResourceIdentifier) {
+        entry.value = std::string(
+            reinterpret_cast<const char *>(
+                ASN1_STRING_get0_data(gen->d.uniformResourceIdentifier)),
+            static_cast<size_t>(
+                ASN1_STRING_length(gen->d.uniformResourceIdentifier)));
+      }
+      break;
+    default: entry.type = SanType::OTHER; break;
+    }
 
-  if (client_ca_cert_store != nullptr) {
-    SSL_CTX_set_cert_store(ctx_, client_ca_cert_store);
+    if (!entry.value.empty()) { sans.push_back(std::move(entry)); }
   }
+
+  GENERAL_NAMES_free(names);
+  return true;
 }
 
-bool SSLServer::process_and_close_socket(socket_t sock) {
-  auto ssl = detail::ssl_new(
-      sock, ctx_, ctx_mutex_,
-      [&](SSL *ssl2) {
-        return detail::ssl_connect_or_accept_nonblocking(
-            sock, ssl2, SSL_accept, read_timeout_sec_, read_timeout_usec_,
-            &last_ssl_error_);
-      },
-      [](SSL * /*ssl2*/) { return true; });
+bool get_cert_validity(cert_t cert, time_t &not_before,
+                              time_t &not_after) {
+  if (!cert) return false;
+  auto x509 = static_cast<X509 *>(cert);
 
-  auto ret = false;
-  if (ssl) {
-    std::string remote_addr;
-    int remote_port = 0;
-    detail::get_remote_ip_and_port(sock, remote_addr, remote_port);
+  auto nb = X509_get0_notBefore(x509);
+  auto na = X509_get0_notAfter(x509);
+  if (!nb || !na) return false;
 
-    std::string local_addr;
-    int local_port = 0;
-    detail::get_local_ip_and_port(sock, local_addr, local_port);
+  ASN1_TIME *epoch = ASN1_TIME_new();
+  if (!epoch) return false;
+  auto se = detail::scope_exit([&] { ASN1_TIME_free(epoch); });
 
-    ret = detail::process_server_socket_ssl(
-        svr_sock_, ssl, sock, keep_alive_max_count_, keep_alive_timeout_sec_,
-        read_timeout_sec_, read_timeout_usec_, write_timeout_sec_,
-        write_timeout_usec_,
-        [&](Stream &strm, bool close_connection, bool &connection_closed) {
-          return process_request(strm, remote_addr, remote_port, local_addr,
-                                 local_port, close_connection,
-                                 connection_closed,
-                                 [&](Request &req) { req.ssl = ssl; });
-        });
+  if (!ASN1_TIME_set(epoch, 0)) return false;
 
-    // Shutdown gracefully if the result seemed successful, non-gracefully if
-    // the connection appeared to be closed.
-    const bool shutdown_gracefully = ret;
-    detail::ssl_delete(ctx_mutex_, ssl, sock, shutdown_gracefully);
-  }
+  int pday, psec;
 
-  detail::shutdown_socket(sock);
-  detail::close_socket(sock);
-  return ret;
+  if (!ASN1_TIME_diff(&pday, &psec, epoch, nb)) return false;
+  not_before = 86400 * (time_t)pday + psec;
+
+  if (!ASN1_TIME_diff(&pday, &psec, epoch, na)) return false;
+  not_after = 86400 * (time_t)pday + psec;
+
+  return true;
 }
 
-STACK_OF(X509_NAME) * SSLServer::extract_ca_names_from_x509_store(
-                                 X509_STORE *store) {
-  if (!store) { return nullptr; }
+std::string get_cert_serial(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<X509 *>(cert);
 
-  auto ca_list = sk_X509_NAME_new_null();
-  if (!ca_list) { return nullptr; }
+  auto serial = X509_get_serialNumber(x509);
+  if (!serial) return "";
 
-  // Get all objects from the store
-  auto objs = X509_STORE_get0_objects(store);
-  if (!objs) {
-    sk_X509_NAME_free(ca_list);
-    return nullptr;
-  }
+  auto bn = ASN1_INTEGER_to_BN(serial, nullptr);
+  if (!bn) return "";
 
-  // Iterate through objects and extract certificate subject names
-  for (int i = 0; i < sk_X509_OBJECT_num(objs); i++) {
-    auto obj = sk_X509_OBJECT_value(objs, i);
-    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
-      auto cert = X509_OBJECT_get0_X509(obj);
-      if (cert) {
-        auto subject = X509_get_subject_name(cert);
-        if (subject) {
-          auto name_dup = X509_NAME_dup(subject);
-          if (name_dup) { sk_X509_NAME_push(ca_list, name_dup); }
-        }
-      }
-    }
-  }
+  auto hex = BN_bn2hex(bn);
+  BN_free(bn);
+  if (!hex) return "";
 
-  // If no names were extracted, free the list and return nullptr
-  if (sk_X509_NAME_num(ca_list) == 0) {
-    sk_X509_NAME_free(ca_list);
-    return nullptr;
-  }
+  std::string result(hex);
+  OPENSSL_free(hex);
+  return result;
+}
 
-  return ca_list;
+bool get_cert_der(cert_t cert, std::vector<unsigned char> &der) {
+  if (!cert) return false;
+  auto x509 = static_cast<X509 *>(cert);
+  auto len = i2d_X509(x509, nullptr);
+  if (len < 0) return false;
+  der.resize(static_cast<size_t>(len));
+  auto p = der.data();
+  i2d_X509(x509, &p);
+  return true;
 }
 
-// SSL HTTP client implementation
-SSLClient::SSLClient(const std::string &host)
-    : SSLClient(host, 443, std::string(), std::string()) {}
+const char *get_sni(const_session_t session) {
+  if (!session) return nullptr;
+  auto ssl = static_cast<SSL *>(const_cast<void *>(session));
+  return SSL_get_servername(ssl, TLSEXT_NAMETYPE_host_name);
+}
 
-SSLClient::SSLClient(const std::string &host, int port)
-    : SSLClient(host, port, std::string(), std::string()) {}
+uint64_t peek_error() { return ERR_peek_last_error(); }
 
-SSLClient::SSLClient(const std::string &host, int port,
-                            const std::string &client_cert_path,
-                            const std::string &client_key_path,
-                            const std::string &private_key_password)
-    : ClientImpl(host, port, client_cert_path, client_key_path) {
-  ctx_ = SSL_CTX_new(TLS_client_method());
+uint64_t get_error() { return ERR_get_error(); }
 
-  SSL_CTX_set_min_proto_version(ctx_, TLS1_2_VERSION);
+std::string error_string(uint64_t code) {
+  char buf[256];
+  ERR_error_string_n(static_cast<unsigned long>(code), buf, sizeof(buf));
+  return std::string(buf);
+}
 
-  detail::split(&host_[0], &host_[host_.size()], '.',
-                [&](const char *b, const char *e) {
-                  host_components_.emplace_back(b, e);
-                });
+ca_store_t create_ca_store(const char *pem, size_t len) {
+  auto mem = BIO_new_mem_buf(pem, static_cast<int>(len));
+  if (!mem) { return nullptr; }
+  auto mem_guard = detail::scope_exit([&] { BIO_free_all(mem); });
 
-  if (!client_cert_path.empty() && !client_key_path.empty()) {
-    if (!private_key_password.empty()) {
-      SSL_CTX_set_default_passwd_cb_userdata(
-          ctx_, reinterpret_cast<void *>(
-                    const_cast<char *>(private_key_password.c_str())));
-    }
-
-    if (SSL_CTX_use_certificate_file(ctx_, client_cert_path.c_str(),
-                                     SSL_FILETYPE_PEM) != 1 ||
-        SSL_CTX_use_PrivateKey_file(ctx_, client_key_path.c_str(),
-                                    SSL_FILETYPE_PEM) != 1) {
-      last_openssl_error_ = ERR_get_error();
-      SSL_CTX_free(ctx_);
-      ctx_ = nullptr;
+  auto inf = PEM_X509_INFO_read_bio(mem, nullptr, nullptr, nullptr);
+  if (!inf) { return nullptr; }
+
+  auto store = X509_STORE_new();
+  if (store) {
+    for (auto i = 0; i < static_cast<int>(sk_X509_INFO_num(inf)); i++) {
+      auto itmp = sk_X509_INFO_value(inf, i);
+      if (!itmp) { continue; }
+      if (itmp->x509) { X509_STORE_add_cert(store, itmp->x509); }
+      if (itmp->crl) { X509_STORE_add_crl(store, itmp->crl); }
     }
   }
+
+  sk_X509_INFO_pop_free(inf, X509_INFO_free);
+  return static_cast<ca_store_t>(store);
 }
 
-SSLClient::SSLClient(const std::string &host, int port,
-                            X509 *client_cert, EVP_PKEY *client_key,
-                            const std::string &private_key_password)
-    : ClientImpl(host, port) {
-  ctx_ = SSL_CTX_new(TLS_client_method());
+void free_ca_store(ca_store_t store) {
+  if (store) { X509_STORE_free(static_cast<X509_STORE *>(store)); }
+}
 
-  detail::split(&host_[0], &host_[host_.size()], '.',
-                [&](const char *b, const char *e) {
-                  host_components_.emplace_back(b, e);
-                });
+bool set_ca_store(ctx_t ctx, ca_store_t store) {
+  if (!ctx || !store) { return false; }
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+  auto x509_store = static_cast<X509_STORE *>(store);
 
-  if (client_cert != nullptr && client_key != nullptr) {
-    if (!private_key_password.empty()) {
-      SSL_CTX_set_default_passwd_cb_userdata(
-          ctx_, reinterpret_cast<void *>(
-                    const_cast<char *>(private_key_password.c_str())));
-    }
+  // Check if same store is already set
+  if (SSL_CTX_get_cert_store(ssl_ctx) == x509_store) { return true; }
 
-    if (SSL_CTX_use_certificate(ctx_, client_cert) != 1 ||
-        SSL_CTX_use_PrivateKey(ctx_, client_key) != 1) {
-      last_openssl_error_ = ERR_get_error();
-      SSL_CTX_free(ctx_);
-      ctx_ = nullptr;
-    }
-  }
+  // SSL_CTX_set_cert_store takes ownership and frees the old store
+  SSL_CTX_set_cert_store(ssl_ctx, x509_store);
+  return true;
 }
 
-SSLClient::~SSLClient() {
-  if (ctx_) { SSL_CTX_free(ctx_); }
-  // Make sure to shut down SSL since shutdown_ssl will resolve to the
-  // base function rather than the derived function once we get to the
-  // base class destructor, and won't free the SSL (causing a leak).
-  shutdown_ssl_impl(socket_, true);
-}
+size_t get_ca_certs(ctx_t ctx, std::vector<cert_t> &certs) {
+  certs.clear();
+  if (!ctx) { return 0; }
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
 
-bool SSLClient::is_valid() const { return ctx_; }
+  auto store = SSL_CTX_get_cert_store(ssl_ctx);
+  if (!store) { return 0; }
 
-void SSLClient::set_ca_cert_store(X509_STORE *ca_cert_store) {
-  if (ca_cert_store) {
-    if (ctx_) {
-      if (SSL_CTX_get_cert_store(ctx_) != ca_cert_store) {
-        // Free memory allocated for old cert and use new store
-        // `ca_cert_store`
-        SSL_CTX_set_cert_store(ctx_, ca_cert_store);
-        ca_cert_store_ = ca_cert_store;
+  auto objs = X509_STORE_get0_objects(store);
+  if (!objs) { return 0; }
+
+  auto count = sk_X509_OBJECT_num(objs);
+  for (decltype(count) i = 0; i < count; i++) {
+    auto obj = sk_X509_OBJECT_value(objs, i);
+    if (!obj) { continue; }
+    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
+      auto x509 = X509_OBJECT_get0_X509(obj);
+      if (x509) {
+        // Increment reference count so caller can free it
+        X509_up_ref(x509);
+        certs.push_back(static_cast<cert_t>(x509));
       }
-    } else {
-      X509_STORE_free(ca_cert_store);
     }
   }
+  return certs.size();
 }
 
-void SSLClient::load_ca_cert_store(const char *ca_cert,
-                                          std::size_t size) {
-  set_ca_cert_store(ClientImpl::create_ca_cert_store(ca_cert, size));
-}
+std::vector<std::string> get_ca_names(ctx_t ctx) {
+  std::vector<std::string> names;
+  if (!ctx) { return names; }
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
 
-long SSLClient::get_openssl_verify_result() const {
-  return verify_result_;
-}
+  auto store = SSL_CTX_get_cert_store(ssl_ctx);
+  if (!store) { return names; }
 
-SSL_CTX *SSLClient::ssl_context() const { return ctx_; }
+  auto objs = X509_STORE_get0_objects(store);
+  if (!objs) { return names; }
 
-bool SSLClient::create_and_connect_socket(Socket &socket, Error &error) {
-  if (!is_valid()) {
-    error = Error::SSLConnection;
-    return false;
+  auto count = sk_X509_OBJECT_num(objs);
+  for (decltype(count) i = 0; i < count; i++) {
+    auto obj = sk_X509_OBJECT_value(objs, i);
+    if (!obj) { continue; }
+    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
+      auto x509 = X509_OBJECT_get0_X509(obj);
+      if (x509) {
+        auto subject = X509_get_subject_name(x509);
+        if (subject) {
+          char buf[512];
+          X509_NAME_oneline(subject, buf, sizeof(buf));
+          names.push_back(buf);
+        }
+      }
+    }
   }
-  return ClientImpl::create_and_connect_socket(socket, error);
+  return names;
 }
 
-// Assumes that socket_mutex_ is locked and that there are no requests in
-// flight
-bool SSLClient::connect_with_proxy(
-    Socket &socket,
-    std::chrono::time_point<std::chrono::steady_clock> start_time,
-    Response &res, bool &success, Error &error) {
-  success = true;
-  Response proxy_res;
-  if (!detail::process_client_socket(
-          socket.sock, read_timeout_sec_, read_timeout_usec_,
-          write_timeout_sec_, write_timeout_usec_, max_timeout_msec_,
-          start_time, [&](Stream &strm) {
-            Request req2;
-            req2.method = "CONNECT";
-            req2.path =
-                detail::make_host_and_port_string_always_port(host_, port_);
-            if (max_timeout_msec_ > 0) {
-              req2.start_time_ = std::chrono::steady_clock::now();
-            }
-            return process_request(strm, req2, proxy_res, false, error);
-          })) {
-    // Thread-safe to close everything because we are assuming there are no
-    // requests in flight
-    shutdown_ssl(socket, true);
-    shutdown_socket(socket);
-    close_socket(socket);
-    success = false;
+bool update_server_cert(ctx_t ctx, const char *cert_pem,
+                               const char *key_pem, const char *password) {
+  if (!ctx || !cert_pem || !key_pem) { return false; }
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
+
+  // Load certificate from PEM
+  auto cert_bio = BIO_new_mem_buf(cert_pem, -1);
+  if (!cert_bio) { return false; }
+  auto cert = PEM_read_bio_X509(cert_bio, nullptr, nullptr, nullptr);
+  BIO_free(cert_bio);
+  if (!cert) { return false; }
+
+  // Load private key from PEM
+  auto key_bio = BIO_new_mem_buf(key_pem, -1);
+  if (!key_bio) {
+    X509_free(cert);
+    return false;
+  }
+  auto key = PEM_read_bio_PrivateKey(key_bio, nullptr, nullptr,
+                                     password ? const_cast<char *>(password)
+                                              : nullptr);
+  BIO_free(key_bio);
+  if (!key) {
+    X509_free(cert);
     return false;
   }
 
-  if (proxy_res.status == StatusCode::ProxyAuthenticationRequired_407) {
-    if (!proxy_digest_auth_username_.empty() &&
-        !proxy_digest_auth_password_.empty()) {
-      std::map<std::string, std::string> auth;
-      if (detail::parse_www_authenticate(proxy_res, auth, true)) {
-        // Close the current socket and create a new one for the authenticated
-        // request
-        shutdown_ssl(socket, true);
-        shutdown_socket(socket);
-        close_socket(socket);
+  // Update certificate and key
+  auto ret = SSL_CTX_use_certificate(ssl_ctx, cert) == 1 &&
+             SSL_CTX_use_PrivateKey(ssl_ctx, key) == 1;
 
-        // Create a new socket for the authenticated CONNECT request
-        if (!ensure_socket_connection(socket, error)) {
-          success = false;
-          output_error_log(error, nullptr);
-          return false;
-        }
+  X509_free(cert);
+  EVP_PKEY_free(key);
+  return ret;
+}
 
-        proxy_res = Response();
-        if (!detail::process_client_socket(
-                socket.sock, read_timeout_sec_, read_timeout_usec_,
-                write_timeout_sec_, write_timeout_usec_, max_timeout_msec_,
-                start_time, [&](Stream &strm) {
-                  Request req3;
-                  req3.method = "CONNECT";
-                  req3.path = detail::make_host_and_port_string_always_port(
-                      host_, port_);
-                  req3.headers.insert(detail::make_digest_authentication_header(
-                      req3, auth, 1, detail::random_string(10),
-                      proxy_digest_auth_username_, proxy_digest_auth_password_,
-                      true));
-                  if (max_timeout_msec_ > 0) {
-                    req3.start_time_ = std::chrono::steady_clock::now();
-                  }
-                  return process_request(strm, req3, proxy_res, false, error);
-                })) {
-          // Thread-safe to close everything because we are assuming there are
-          // no requests in flight
-          shutdown_ssl(socket, true);
-          shutdown_socket(socket);
-          close_socket(socket);
-          success = false;
-          return false;
-        }
-      }
-    }
-  }
+bool update_server_client_ca(ctx_t ctx, const char *ca_pem) {
+  if (!ctx || !ca_pem) { return false; }
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
 
-  // If status code is not 200, proxy request is failed.
-  // Set error to ProxyConnection and return proxy response
-  // as the response of the request
-  if (proxy_res.status != StatusCode::OK_200) {
-    error = Error::ProxyConnection;
-    output_error_log(error, nullptr);
-    res = std::move(proxy_res);
-    // Thread-safe to close everything because we are assuming there are
-    // no requests in flight
-    shutdown_ssl(socket, true);
-    shutdown_socket(socket);
-    close_socket(socket);
-    return false;
+  // Create new X509_STORE from PEM
+  auto store = create_ca_store(ca_pem, strlen(ca_pem));
+  if (!store) { return false; }
+
+  // SSL_CTX_set_cert_store takes ownership
+  SSL_CTX_set_cert_store(ssl_ctx, static_cast<X509_STORE *>(store));
+
+  // Set client CA list for client certificate request
+  auto ca_list = impl::create_client_ca_list_from_pem(ca_pem);
+  if (ca_list) {
+    // SSL_CTX_set_client_CA_list takes ownership of ca_list
+    SSL_CTX_set_client_CA_list(ssl_ctx, ca_list);
   }
 
   return true;
 }
 
-bool SSLClient::load_certs() {
-  auto ret = true;
+bool set_verify_callback(ctx_t ctx, VerifyCallback callback) {
+  if (!ctx) { return false; }
+  auto ssl_ctx = static_cast<SSL_CTX *>(ctx);
 
-  std::call_once(initialize_cert_, [&]() {
-    std::lock_guard<std::mutex> guard(ctx_mutex_);
-    if (!ca_cert_file_path_.empty()) {
-      if (!SSL_CTX_load_verify_locations(ctx_, ca_cert_file_path_.c_str(),
-                                         nullptr)) {
-        last_openssl_error_ = ERR_get_error();
-        ret = false;
-      }
-    } else if (!ca_cert_dir_path_.empty()) {
-      if (!SSL_CTX_load_verify_locations(ctx_, nullptr,
-                                         ca_cert_dir_path_.c_str())) {
-        last_openssl_error_ = ERR_get_error();
-        ret = false;
-      }
-    } else if (!ca_cert_store_) {
-      auto loaded = false;
-#ifdef _WIN32
-      loaded =
-          detail::load_system_certs_on_windows(SSL_CTX_get_cert_store(ctx_));
-#elif defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN) && TARGET_OS_MAC
-      loaded = detail::load_system_certs_on_macos(SSL_CTX_get_cert_store(ctx_));
-#endif // _WIN32
-      if (!loaded) { SSL_CTX_set_default_verify_paths(ctx_); }
-    }
-  });
+  impl::get_verify_callback() = std::move(callback);
+
+  if (impl::get_verify_callback()) {
+    SSL_CTX_set_verify(ssl_ctx, SSL_VERIFY_PEER, impl::openssl_verify_callback);
+  } else {
+    SSL_CTX_set_verify(ssl_ctx, SSL_VERIFY_PEER, nullptr);
+  }
+  return true;
+}
+
+long get_verify_error(const_session_t session) {
+  if (!session) { return -1; }
+  auto ssl = static_cast<SSL *>(const_cast<void *>(session));
+  return SSL_get_verify_result(ssl);
+}
 
-  return ret;
+std::string verify_error_string(long error_code) {
+  if (error_code == X509_V_OK) { return ""; }
+  const char *str = X509_verify_cert_error_string(static_cast<int>(error_code));
+  return str ? str : "unknown error";
 }
 
-bool SSLClient::initialize_ssl(Socket &socket, Error &error) {
-  auto ssl = detail::ssl_new(
-      socket.sock, ctx_, ctx_mutex_,
-      [&](SSL *ssl2) {
-        if (server_certificate_verification_) {
-          if (!load_certs()) {
-            error = Error::SSLLoadingCerts;
-            output_error_log(error, nullptr);
-            return false;
-          }
-          SSL_set_verify(ssl2, SSL_VERIFY_NONE, nullptr);
-        }
+namespace impl {
 
-        if (!detail::ssl_connect_or_accept_nonblocking(
-                socket.sock, ssl2, SSL_connect, connection_timeout_sec_,
-                connection_timeout_usec_, &last_ssl_error_)) {
-          error = Error::SSLConnection;
-          output_error_log(error, nullptr);
-          return false;
-        }
+// OpenSSL-specific helpers for public API wrappers
+ctx_t create_server_context_from_x509(X509 *cert, EVP_PKEY *key,
+                                             X509_STORE *client_ca_store,
+                                             int &out_error) {
+  out_error = 0;
+  auto cert_pem = x509_to_pem(cert);
+  auto key_pem = evp_pkey_to_pem(key);
+  if (cert_pem.empty() || key_pem.empty()) {
+    out_error = static_cast<int>(ERR_get_error());
+    return nullptr;
+  }
 
-        if (server_certificate_verification_) {
-          auto verification_status = SSLVerifierResponse::NoDecisionMade;
+  auto ctx = create_server_context();
+  if (!ctx) {
+    out_error = static_cast<int>(get_error());
+    return nullptr;
+  }
 
-          if (server_certificate_verifier_) {
-            verification_status = server_certificate_verifier_(ssl2);
-          }
+  if (!set_server_cert_pem(ctx, cert_pem.c_str(), key_pem.c_str(), nullptr)) {
+    out_error = static_cast<int>(get_error());
+    free_context(ctx);
+    return nullptr;
+  }
 
-          if (verification_status == SSLVerifierResponse::CertificateRejected) {
-            last_openssl_error_ = ERR_get_error();
-            error = Error::SSLServerVerification;
-            output_error_log(error, nullptr);
-            return false;
-          }
+  if (client_ca_store) {
+    // Set cert store for verification (SSL_CTX_set_cert_store takes ownership)
+    SSL_CTX_set_cert_store(static_cast<SSL_CTX *>(ctx), client_ca_store);
 
-          if (verification_status == SSLVerifierResponse::NoDecisionMade) {
-            verify_result_ = SSL_get_verify_result(ssl2);
+    // Extract and set client CA list directly from store (more efficient than
+    // PEM conversion)
+    auto ca_list = extract_client_ca_list_from_store(client_ca_store);
+    if (ca_list) {
+      SSL_CTX_set_client_CA_list(static_cast<SSL_CTX *>(ctx), ca_list);
+    }
 
-            if (verify_result_ != X509_V_OK) {
-              last_openssl_error_ = static_cast<unsigned long>(verify_result_);
-              error = Error::SSLServerVerification;
-              output_error_log(error, nullptr);
-              return false;
-            }
+    set_verify_client(ctx, true);
+  }
 
-            auto server_cert = SSL_get1_peer_certificate(ssl2);
-            auto se = detail::scope_exit([&] { X509_free(server_cert); });
+  return ctx;
+}
 
-            if (server_cert == nullptr) {
-              last_openssl_error_ = ERR_get_error();
-              error = Error::SSLServerVerification;
-              output_error_log(error, nullptr);
-              return false;
-            }
+void update_server_certs_from_x509(ctx_t ctx, X509 *cert, EVP_PKEY *key,
+                                          X509_STORE *client_ca_store) {
+  auto cert_pem = x509_to_pem(cert);
+  auto key_pem = evp_pkey_to_pem(key);
 
-            if (server_hostname_verification_) {
-              if (!verify_host(server_cert)) {
-                last_openssl_error_ = X509_V_ERR_HOSTNAME_MISMATCH;
-                error = Error::SSLServerHostnameVerification;
-                output_error_log(error, nullptr);
-                return false;
-              }
-            }
-          }
-        }
+  if (!cert_pem.empty() && !key_pem.empty()) {
+    update_server_cert(ctx, cert_pem.c_str(), key_pem.c_str(), nullptr);
+  }
 
-        return true;
-      },
-      [&](SSL *ssl2) {
-        // Set SNI only if host is not IP address
-        if (!detail::is_ip_address(host_)) {
-#if defined(OPENSSL_IS_BORINGSSL)
-          SSL_set_tlsext_host_name(ssl2, host_.c_str());
-#else
-          // NOTE: Direct call instead of using the OpenSSL macro to suppress
-          // -Wold-style-cast warning
-          SSL_ctrl(ssl2, SSL_CTRL_SET_TLSEXT_HOSTNAME,
-                   TLSEXT_NAMETYPE_host_name,
-                   static_cast<void *>(const_cast<char *>(host_.c_str())));
-#endif
-        }
-        return true;
-      });
+  if (client_ca_store) {
+    auto ca_pem = x509_store_to_pem(client_ca_store);
+    if (!ca_pem.empty()) { update_server_client_ca(ctx, ca_pem.c_str()); }
+    X509_STORE_free(client_ca_store);
+  }
+}
 
-  if (ssl) {
-    socket.ssl = ssl;
-    return true;
+ctx_t create_client_context_from_x509(X509 *cert, EVP_PKEY *key,
+                                             const char *password,
+                                             uint64_t &out_error) {
+  out_error = 0;
+  auto ctx = create_client_context();
+  if (!ctx) {
+    out_error = get_error();
+    return nullptr;
   }
 
-  if (ctx_ == nullptr) {
-    error = Error::SSLConnection;
-    last_openssl_error_ = ERR_get_error();
+  if (cert && key) {
+    auto cert_pem = x509_to_pem(cert);
+    auto key_pem = evp_pkey_to_pem(key);
+    if (cert_pem.empty() || key_pem.empty()) {
+      out_error = ERR_get_error();
+      free_context(ctx);
+      return nullptr;
+    }
+    if (!set_client_cert_pem(ctx, cert_pem.c_str(), key_pem.c_str(),
+                             password)) {
+      out_error = get_error();
+      free_context(ctx);
+      return nullptr;
+    }
   }
 
-  shutdown_socket(socket);
-  close_socket(socket);
-  return false;
+  return ctx;
 }
 
-void SSLClient::shutdown_ssl(Socket &socket, bool shutdown_gracefully) {
-  shutdown_ssl_impl(socket, shutdown_gracefully);
-}
+} // namespace impl
 
-void SSLClient::shutdown_ssl_impl(Socket &socket,
-                                         bool shutdown_gracefully) {
-  if (socket.sock == INVALID_SOCKET) {
-    assert(socket.ssl == nullptr);
-    return;
+} // namespace tls
+
+// ClientImpl::set_ca_cert_store - defined here to use
+// tls::impl::x509_store_to_pem Deprecated: converts X509_STORE to PEM and
+// stores for redirect transfer
+void ClientImpl::set_ca_cert_store(X509_STORE *ca_cert_store) {
+  if (ca_cert_store) {
+    ca_cert_pem_ = tls::impl::x509_store_to_pem(ca_cert_store);
   }
-  if (socket.ssl) {
-    detail::ssl_delete(ctx_mutex_, socket.ssl, socket.sock,
-                       shutdown_gracefully);
-    socket.ssl = nullptr;
+}
+
+SSLServer::SSLServer(X509 *cert, EVP_PKEY *private_key,
+                            X509_STORE *client_ca_cert_store) {
+  ctx_ = tls::impl::create_server_context_from_x509(
+      cert, private_key, client_ca_cert_store, last_ssl_error_);
+}
+
+SSLServer::SSLServer(
+    const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback) {
+  // Use abstract API to create context
+  ctx_ = tls::create_server_context();
+  if (ctx_) {
+    // Pass to OpenSSL-specific callback (ctx_ is SSL_CTX* internally)
+    auto ssl_ctx = static_cast<SSL_CTX *>(ctx_);
+    if (!setup_ssl_ctx_callback(*ssl_ctx)) {
+      tls::free_context(ctx_);
+      ctx_ = nullptr;
+    }
   }
-  assert(socket.ssl == nullptr);
 }
 
-bool SSLClient::process_socket(
-    const Socket &socket,
-    std::chrono::time_point<std::chrono::steady_clock> start_time,
-    std::function<bool(Stream &strm)> callback) {
-  assert(socket.ssl);
-  return detail::process_client_socket_ssl(
-      socket.ssl, socket.sock, read_timeout_sec_, read_timeout_usec_,
-      write_timeout_sec_, write_timeout_usec_, max_timeout_msec_, start_time,
-      std::move(callback));
+SSL_CTX *SSLServer::ssl_context() const {
+  return static_cast<SSL_CTX *>(ctx_);
 }
 
-bool SSLClient::is_ssl() const { return true; }
+void SSLServer::update_certs(X509 *cert, EVP_PKEY *private_key,
+                                    X509_STORE *client_ca_cert_store) {
+  std::lock_guard<std::mutex> guard(ctx_mutex_);
+  tls::impl::update_server_certs_from_x509(ctx_, cert, private_key,
+                                           client_ca_cert_store);
+}
+
+SSLClient::SSLClient(const std::string &host, int port,
+                            X509 *client_cert, EVP_PKEY *client_key,
+                            const std::string &private_key_password)
+    : ClientImpl(host, port) {
+  const char *password =
+      private_key_password.empty() ? nullptr : private_key_password.c_str();
+  ctx_ = tls::impl::create_client_context_from_x509(
+      client_cert, client_key, password, last_backend_error_);
+}
+
+long SSLClient::get_verify_result() const { return verify_result_; }
+
+void SSLClient::set_server_certificate_verifier(
+    std::function<SSLVerifierResponse(SSL *ssl)> verifier) {
+  // Wrap SSL* callback into backend-independent session_verifier_
+  auto v = std::make_shared<std::function<SSLVerifierResponse(SSL *)>>(
+      std::move(verifier));
+  session_verifier_ = [v](tls::session_t session) {
+    return (*v)(static_cast<SSL *>(session));
+  };
+}
+
+SSL_CTX *SSLClient::ssl_context() const {
+  return static_cast<SSL_CTX *>(ctx_);
+}
 
 bool SSLClient::verify_host(X509 *server_cert) const {
   /* Quote from RFC2818 section 3.1 "Server Identity"
@@ -9842,839 +13455,2803 @@ bool
 SSLClient::verify_host_with_subject_alt_name(X509 *server_cert) const {
   auto ret = false;
 
-  auto type = GEN_DNS;
+  auto type = GEN_DNS;
+
+  struct in6_addr addr6 = {};
+  struct in_addr addr = {};
+  size_t addr_len = 0;
+
+#ifndef __MINGW32__
+  if (inet_pton(AF_INET6, host_.c_str(), &addr6)) {
+    type = GEN_IPADD;
+    addr_len = sizeof(struct in6_addr);
+  } else if (inet_pton(AF_INET, host_.c_str(), &addr)) {
+    type = GEN_IPADD;
+    addr_len = sizeof(struct in_addr);
+  }
+#endif
+
+  auto alt_names = static_cast<const struct stack_st_GENERAL_NAME *>(
+      X509_get_ext_d2i(server_cert, NID_subject_alt_name, nullptr, nullptr));
+
+  if (alt_names) {
+    auto dsn_matched = false;
+    auto ip_matched = false;
+
+    auto count = sk_GENERAL_NAME_num(alt_names);
+
+    for (decltype(count) i = 0; i < count && !dsn_matched; i++) {
+      auto val = sk_GENERAL_NAME_value(alt_names, i);
+      if (!val || val->type != type) { continue; }
+
+      auto name =
+          reinterpret_cast<const char *>(ASN1_STRING_get0_data(val->d.ia5));
+      if (name == nullptr) { continue; }
+
+      auto name_len = static_cast<size_t>(ASN1_STRING_length(val->d.ia5));
+
+      switch (type) {
+      case GEN_DNS:
+        dsn_matched =
+            detail::match_hostname(std::string(name, name_len), host_);
+        break;
+
+      case GEN_IPADD:
+        if (!memcmp(&addr6, name, addr_len) || !memcmp(&addr, name, addr_len)) {
+          ip_matched = true;
+        }
+        break;
+      }
+    }
+
+    if (dsn_matched || ip_matched) { ret = true; }
+  }
+
+  GENERAL_NAMES_free(const_cast<STACK_OF(GENERAL_NAME) *>(
+      reinterpret_cast<const STACK_OF(GENERAL_NAME) *>(alt_names)));
+  return ret;
+}
+
+bool SSLClient::verify_host_with_common_name(X509 *server_cert) const {
+  const auto subject_name = X509_get_subject_name(server_cert);
+
+  if (subject_name != nullptr) {
+    char name[BUFSIZ];
+    auto name_len = X509_NAME_get_text_by_NID(subject_name, NID_commonName,
+                                              name, sizeof(name));
+
+    if (name_len != -1) {
+      return detail::match_hostname(
+          std::string(name, static_cast<size_t>(name_len)), host_);
+    }
+  }
+
+  return false;
+}
+
+#endif // CPPHTTPLIB_OPENSSL_SUPPORT
+
+/*
+ * Group 9: TLS abstraction layer - Mbed TLS backend
+ */
+
+/*
+ * Mbed TLS Backend Implementation
+ */
+
+#ifdef CPPHTTPLIB_MBEDTLS_SUPPORT
+namespace tls {
+
+namespace impl {
+
+// Mbed TLS session wrapper
+struct MbedTlsSession {
+  mbedtls_ssl_context ssl;
+  socket_t sock = INVALID_SOCKET;
+  std::string hostname;     // For client: set via set_sni
+  std::string sni_hostname; // For server: received from client via SNI callback
+
+  MbedTlsSession() { mbedtls_ssl_init(&ssl); }
+
+  ~MbedTlsSession() { mbedtls_ssl_free(&ssl); }
+
+  MbedTlsSession(const MbedTlsSession &) = delete;
+  MbedTlsSession &operator=(const MbedTlsSession &) = delete;
+};
+
+// Thread-local error code accessor for Mbed TLS (since it doesn't have an error
+// queue)
+int &mbedtls_last_error() {
+  static thread_local int err = 0;
+  return err;
+}
+
+// Helper to map Mbed TLS error to ErrorCode
+ErrorCode map_mbedtls_error(int ret, int &out_errno) {
+  if (ret == 0) { return ErrorCode::Success; }
+  if (ret == MBEDTLS_ERR_SSL_WANT_READ) { return ErrorCode::WantRead; }
+  if (ret == MBEDTLS_ERR_SSL_WANT_WRITE) { return ErrorCode::WantWrite; }
+  if (ret == MBEDTLS_ERR_SSL_PEER_CLOSE_NOTIFY) {
+    return ErrorCode::PeerClosed;
+  }
+  if (ret == MBEDTLS_ERR_NET_CONN_RESET || ret == MBEDTLS_ERR_NET_SEND_FAILED ||
+      ret == MBEDTLS_ERR_NET_RECV_FAILED) {
+    out_errno = errno;
+    return ErrorCode::SyscallError;
+  }
+  if (ret == MBEDTLS_ERR_X509_CERT_VERIFY_FAILED) {
+    return ErrorCode::CertVerifyFailed;
+  }
+  return ErrorCode::Fatal;
+}
+
+// BIO-like send callback for Mbed TLS
+int mbedtls_net_send_cb(void *ctx, const unsigned char *buf,
+                               size_t len) {
+  auto sock = *static_cast<socket_t *>(ctx);
+#ifdef _WIN32
+  auto ret =
+      send(sock, reinterpret_cast<const char *>(buf), static_cast<int>(len), 0);
+  if (ret == SOCKET_ERROR) {
+    int err = WSAGetLastError();
+    if (err == WSAEWOULDBLOCK) { return MBEDTLS_ERR_SSL_WANT_WRITE; }
+    return MBEDTLS_ERR_NET_SEND_FAILED;
+  }
+#else
+  auto ret = send(sock, buf, len, 0);
+  if (ret < 0) {
+    if (errno == EAGAIN || errno == EWOULDBLOCK) {
+      return MBEDTLS_ERR_SSL_WANT_WRITE;
+    }
+    return MBEDTLS_ERR_NET_SEND_FAILED;
+  }
+#endif
+  return static_cast<int>(ret);
+}
+
+// BIO-like recv callback for Mbed TLS
+int mbedtls_net_recv_cb(void *ctx, unsigned char *buf, size_t len) {
+  auto sock = *static_cast<socket_t *>(ctx);
+#ifdef _WIN32
+  auto ret =
+      recv(sock, reinterpret_cast<char *>(buf), static_cast<int>(len), 0);
+  if (ret == SOCKET_ERROR) {
+    int err = WSAGetLastError();
+    if (err == WSAEWOULDBLOCK) { return MBEDTLS_ERR_SSL_WANT_READ; }
+    return MBEDTLS_ERR_NET_RECV_FAILED;
+  }
+#else
+  auto ret = recv(sock, buf, len, 0);
+  if (ret < 0) {
+    if (errno == EAGAIN || errno == EWOULDBLOCK) {
+      return MBEDTLS_ERR_SSL_WANT_READ;
+    }
+    return MBEDTLS_ERR_NET_RECV_FAILED;
+  }
+#endif
+  if (ret == 0) { return MBEDTLS_ERR_SSL_PEER_CLOSE_NOTIFY; }
+  return static_cast<int>(ret);
+}
+
+// MbedTlsContext constructor/destructor implementations
+MbedTlsContext::MbedTlsContext() {
+  mbedtls_ssl_config_init(&conf);
+  mbedtls_entropy_init(&entropy);
+  mbedtls_ctr_drbg_init(&ctr_drbg);
+  mbedtls_x509_crt_init(&ca_chain);
+  mbedtls_x509_crt_init(&own_cert);
+  mbedtls_pk_init(&own_key);
+}
+
+MbedTlsContext::~MbedTlsContext() {
+  mbedtls_pk_free(&own_key);
+  mbedtls_x509_crt_free(&own_cert);
+  mbedtls_x509_crt_free(&ca_chain);
+  mbedtls_ctr_drbg_free(&ctr_drbg);
+  mbedtls_entropy_free(&entropy);
+  mbedtls_ssl_config_free(&conf);
+}
+
+// Thread-local storage for SNI captured during handshake
+// This is needed because the SNI callback doesn't have a way to pass
+// session-specific data before the session is fully set up
+std::string &mbedpending_sni() {
+  static thread_local std::string sni;
+  return sni;
+}
+
+// SNI callback for Mbed TLS server to capture client's SNI hostname
+int mbedtls_sni_callback(void *p_ctx, mbedtls_ssl_context *ssl,
+                                const unsigned char *name, size_t name_len) {
+  (void)p_ctx;
+  (void)ssl;
+
+  // Store SNI name in thread-local storage
+  // It will be retrieved and stored in the session after handshake
+  if (name && name_len > 0) {
+    mbedpending_sni().assign(reinterpret_cast<const char *>(name), name_len);
+  } else {
+    mbedpending_sni().clear();
+  }
+  return 0; // Accept any SNI
+}
+
+int mbedtls_verify_callback(void *data, mbedtls_x509_crt *crt,
+                                   int cert_depth, uint32_t *flags);
+
+// MbedTLS verify callback wrapper
+int mbedtls_verify_callback(void *data, mbedtls_x509_crt *crt,
+                                   int cert_depth, uint32_t *flags) {
+  auto &callback = get_verify_callback();
+  if (!callback) { return 0; } // Continue with default verification
+
+  // data points to the MbedTlsSession
+  auto *session = static_cast<MbedTlsSession *>(data);
+
+  // Build context
+  VerifyContext verify_ctx;
+  verify_ctx.session = static_cast<session_t>(session);
+  verify_ctx.cert = static_cast<cert_t>(crt);
+  verify_ctx.depth = cert_depth;
+  verify_ctx.preverify_ok = (*flags == 0);
+  verify_ctx.error_code = static_cast<long>(*flags);
+
+  // Convert Mbed TLS flags to error string
+  static thread_local char error_buf[256];
+  if (*flags != 0) {
+    mbedtls_x509_crt_verify_info(error_buf, sizeof(error_buf), "", *flags);
+    verify_ctx.error_string = error_buf;
+  } else {
+    verify_ctx.error_string = nullptr;
+  }
+
+  bool accepted = callback(verify_ctx);
+
+  if (accepted) {
+    *flags = 0; // Clear all error flags
+    return 0;
+  }
+  return MBEDTLS_ERR_X509_CERT_VERIFY_FAILED;
+}
+
+} // namespace impl
+
+ctx_t create_client_context() {
+  auto ctx = new (std::nothrow) impl::MbedTlsContext();
+  if (!ctx) { return nullptr; }
+
+  ctx->is_server = false;
+
+  // Seed the random number generator
+  const char *pers = "httplib_client";
+  int ret = mbedtls_ctr_drbg_seed(
+      &ctx->ctr_drbg, mbedtls_entropy_func, &ctx->entropy,
+      reinterpret_cast<const unsigned char *>(pers), strlen(pers));
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    delete ctx;
+    return nullptr;
+  }
+
+  // Set up SSL config for client
+  ret = mbedtls_ssl_config_defaults(&ctx->conf, MBEDTLS_SSL_IS_CLIENT,
+                                    MBEDTLS_SSL_TRANSPORT_STREAM,
+                                    MBEDTLS_SSL_PRESET_DEFAULT);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    delete ctx;
+    return nullptr;
+  }
+
+  // Set random number generator
+  mbedtls_ssl_conf_rng(&ctx->conf, mbedtls_ctr_drbg_random, &ctx->ctr_drbg);
+
+  // Default: verify peer certificate
+  mbedtls_ssl_conf_authmode(&ctx->conf, MBEDTLS_SSL_VERIFY_REQUIRED);
+
+  // Set minimum TLS version to 1.2
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  mbedtls_ssl_conf_min_tls_version(&ctx->conf, MBEDTLS_SSL_VERSION_TLS1_2);
+#else
+  mbedtls_ssl_conf_min_version(&ctx->conf, MBEDTLS_SSL_MAJOR_VERSION_3,
+                               MBEDTLS_SSL_MINOR_VERSION_3);
+#endif
+
+  return static_cast<ctx_t>(ctx);
+}
+
+ctx_t create_server_context() {
+  auto ctx = new (std::nothrow) impl::MbedTlsContext();
+  if (!ctx) { return nullptr; }
+
+  ctx->is_server = true;
+
+  // Seed the random number generator
+  const char *pers = "httplib_server";
+  int ret = mbedtls_ctr_drbg_seed(
+      &ctx->ctr_drbg, mbedtls_entropy_func, &ctx->entropy,
+      reinterpret_cast<const unsigned char *>(pers), strlen(pers));
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    delete ctx;
+    return nullptr;
+  }
+
+  // Set up SSL config for server
+  ret = mbedtls_ssl_config_defaults(&ctx->conf, MBEDTLS_SSL_IS_SERVER,
+                                    MBEDTLS_SSL_TRANSPORT_STREAM,
+                                    MBEDTLS_SSL_PRESET_DEFAULT);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    delete ctx;
+    return nullptr;
+  }
+
+  // Set random number generator
+  mbedtls_ssl_conf_rng(&ctx->conf, mbedtls_ctr_drbg_random, &ctx->ctr_drbg);
+
+  // Default: don't verify client
+  mbedtls_ssl_conf_authmode(&ctx->conf, MBEDTLS_SSL_VERIFY_NONE);
+
+  // Set minimum TLS version to 1.2
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  mbedtls_ssl_conf_min_tls_version(&ctx->conf, MBEDTLS_SSL_VERSION_TLS1_2);
+#else
+  mbedtls_ssl_conf_min_version(&ctx->conf, MBEDTLS_SSL_MAJOR_VERSION_3,
+                               MBEDTLS_SSL_MINOR_VERSION_3);
+#endif
+
+  // Set SNI callback to capture client's SNI hostname
+  mbedtls_ssl_conf_sni(&ctx->conf, impl::mbedtls_sni_callback, nullptr);
+
+  return static_cast<ctx_t>(ctx);
+}
+
+void free_context(ctx_t ctx) {
+  if (ctx) { delete static_cast<impl::MbedTlsContext *>(ctx); }
+}
 
-  struct in6_addr addr6 = {};
-  struct in_addr addr = {};
-  size_t addr_len = 0;
+bool set_min_version(ctx_t ctx, Version version) {
+  if (!ctx) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
 
-#ifndef __MINGW32__
-  if (inet_pton(AF_INET6, host_.c_str(), &addr6)) {
-    type = GEN_IPADD;
-    addr_len = sizeof(struct in6_addr);
-  } else if (inet_pton(AF_INET, host_.c_str(), &addr)) {
-    type = GEN_IPADD;
-    addr_len = sizeof(struct in_addr);
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  // Mbed TLS 3.x uses mbedtls_ssl_protocol_version enum
+  mbedtls_ssl_protocol_version min_ver = MBEDTLS_SSL_VERSION_TLS1_2;
+  if (version >= Version::TLS1_3) {
+#if defined(MBEDTLS_SSL_PROTO_TLS1_3)
+    min_ver = MBEDTLS_SSL_VERSION_TLS1_3;
+#endif
   }
+  mbedtls_ssl_conf_min_tls_version(&mctx->conf, min_ver);
+#else
+  // Mbed TLS 2.x uses major/minor version numbers
+  int major = MBEDTLS_SSL_MAJOR_VERSION_3;
+  int minor = MBEDTLS_SSL_MINOR_VERSION_3; // TLS 1.2
+  if (version >= Version::TLS1_3) {
+#if defined(MBEDTLS_SSL_PROTO_TLS1_3)
+    minor = MBEDTLS_SSL_MINOR_VERSION_4; // TLS 1.3
+#else
+    minor = MBEDTLS_SSL_MINOR_VERSION_3; // Fall back to TLS 1.2
 #endif
+  }
+  mbedtls_ssl_conf_min_version(&mctx->conf, major, minor);
+#endif
+  return true;
+}
 
-  auto alt_names = static_cast<const struct stack_st_GENERAL_NAME *>(
-      X509_get_ext_d2i(server_cert, NID_subject_alt_name, nullptr, nullptr));
-
-  if (alt_names) {
-    auto dsn_matched = false;
-    auto ip_matched = false;
+bool load_ca_pem(ctx_t ctx, const char *pem, size_t len) {
+  if (!ctx || !pem) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
 
-    auto count = sk_GENERAL_NAME_num(alt_names);
+  // mbedtls_x509_crt_parse expects null-terminated string for PEM
+  // Add null terminator if not present
+  std::string pem_str(pem, len);
+  int ret = mbedtls_x509_crt_parse(
+      &mctx->ca_chain, reinterpret_cast<const unsigned char *>(pem_str.c_str()),
+      pem_str.size() + 1);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-    for (decltype(count) i = 0; i < count && !dsn_matched; i++) {
-      auto val = sk_GENERAL_NAME_value(alt_names, i);
-      if (!val || val->type != type) { continue; }
+  mbedtls_ssl_conf_ca_chain(&mctx->conf, &mctx->ca_chain, nullptr);
+  return true;
+}
 
-      auto name =
-          reinterpret_cast<const char *>(ASN1_STRING_get0_data(val->d.ia5));
-      if (name == nullptr) { continue; }
+bool load_ca_file(ctx_t ctx, const char *file_path) {
+  if (!ctx || !file_path) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
 
-      auto name_len = static_cast<size_t>(ASN1_STRING_length(val->d.ia5));
+  int ret = mbedtls_x509_crt_parse_file(&mctx->ca_chain, file_path);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-      switch (type) {
-      case GEN_DNS: dsn_matched = check_host_name(name, name_len); break;
+  mbedtls_ssl_conf_ca_chain(&mctx->conf, &mctx->ca_chain, nullptr);
+  return true;
+}
 
-      case GEN_IPADD:
-        if (!memcmp(&addr6, name, addr_len) || !memcmp(&addr, name, addr_len)) {
-          ip_matched = true;
-        }
-        break;
-      }
-    }
+bool load_ca_dir(ctx_t ctx, const char *dir_path) {
+  if (!ctx || !dir_path) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
 
-    if (dsn_matched || ip_matched) { ret = true; }
+  int ret = mbedtls_x509_crt_parse_path(&mctx->ca_chain, dir_path);
+  if (ret < 0) { // Returns number of certs on success, negative on error
+    impl::mbedtls_last_error() = ret;
+    return false;
   }
 
-  GENERAL_NAMES_free(const_cast<STACK_OF(GENERAL_NAME) *>(
-      reinterpret_cast<const STACK_OF(GENERAL_NAME) *>(alt_names)));
-  return ret;
+  mbedtls_ssl_conf_ca_chain(&mctx->conf, &mctx->ca_chain, nullptr);
+  return true;
 }
 
-bool SSLClient::verify_host_with_common_name(X509 *server_cert) const {
-  const auto subject_name = X509_get_subject_name(server_cert);
+bool load_system_certs(ctx_t ctx) {
+  if (!ctx) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
+  bool loaded = false;
 
-  if (subject_name != nullptr) {
-    char name[BUFSIZ];
-    auto name_len = X509_NAME_get_text_by_NID(subject_name, NID_commonName,
-                                              name, sizeof(name));
+#ifdef _WIN32
+  loaded = impl::enumerate_windows_system_certs(
+      [&](const unsigned char *data, size_t len) {
+        return mbedtls_x509_crt_parse_der(&mctx->ca_chain, data, len) == 0;
+      });
+#elif defined(__APPLE__) && defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
+  loaded = impl::enumerate_macos_keychain_certs(
+      [&](const unsigned char *data, size_t len) {
+        return mbedtls_x509_crt_parse_der(&mctx->ca_chain, data, len) == 0;
+      });
+#else
+  for (auto path = impl::system_ca_paths(); *path; ++path) {
+    if (mbedtls_x509_crt_parse_file(&mctx->ca_chain, *path) >= 0) {
+      loaded = true;
+      break;
+    }
+  }
 
-    if (name_len != -1) {
-      return check_host_name(name, static_cast<size_t>(name_len));
+  if (!loaded) {
+    for (auto dir = impl::system_ca_dirs(); *dir; ++dir) {
+      if (mbedtls_x509_crt_parse_path(&mctx->ca_chain, *dir) >= 0) {
+        loaded = true;
+        break;
+      }
     }
   }
+#endif
 
-  return false;
+  if (loaded) {
+    mbedtls_ssl_conf_ca_chain(&mctx->conf, &mctx->ca_chain, nullptr);
+  }
+  return loaded;
 }
 
-bool SSLClient::check_host_name(const char *pattern,
-                                       size_t pattern_len) const {
-  // Exact match (case-insensitive)
-  if (host_.size() == pattern_len &&
-      detail::case_ignore::equal(host_, std::string(pattern, pattern_len))) {
-    return true;
+bool set_client_cert_pem(ctx_t ctx, const char *cert, const char *key,
+                                const char *password) {
+  if (!ctx || !cert || !key) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
+
+  // Parse certificate
+  std::string cert_str(cert);
+  int ret = mbedtls_x509_crt_parse(
+      &mctx->own_cert,
+      reinterpret_cast<const unsigned char *>(cert_str.c_str()),
+      cert_str.size() + 1);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
   }
 
-  // Wildcard match
-  // https://bugs.launchpad.net/ubuntu/+source/firefox-3.0/+bug/376484
-  std::vector<std::string> pattern_components;
-  detail::split(&pattern[0], &pattern[pattern_len], '.',
-                [&](const char *b, const char *e) {
-                  pattern_components.emplace_back(b, e);
-                });
+  // Parse private key
+  std::string key_str(key);
+  const unsigned char *pwd =
+      password ? reinterpret_cast<const unsigned char *>(password) : nullptr;
+  size_t pwd_len = password ? strlen(password) : 0;
 
-  if (host_components_.size() != pattern_components.size()) { return false; }
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  ret = mbedtls_pk_parse_key(
+      &mctx->own_key, reinterpret_cast<const unsigned char *>(key_str.c_str()),
+      key_str.size() + 1, pwd, pwd_len, mbedtls_ctr_drbg_random,
+      &mctx->ctr_drbg);
+#else
+  ret = mbedtls_pk_parse_key(
+      &mctx->own_key, reinterpret_cast<const unsigned char *>(key_str.c_str()),
+      key_str.size() + 1, pwd, pwd_len);
+#endif
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-  auto itr = pattern_components.begin();
-  for (const auto &h : host_components_) {
-    auto &p = *itr;
-    if (!httplib::detail::case_ignore::equal(p, h) && p != "*") {
-      bool partial_match = false;
-      if (!p.empty() && p[p.size() - 1] == '*') {
-        const auto prefix_length = p.size() - 1;
-        if (prefix_length == 0) {
-          partial_match = true;
-        } else if (h.size() >= prefix_length) {
-          partial_match =
-              std::equal(p.begin(),
-                         p.begin() + static_cast<std::string::difference_type>(
-                                         prefix_length),
-                         h.begin(), [](const char ca, const char cb) {
-                           return httplib::detail::case_ignore::to_lower(ca) ==
-                                  httplib::detail::case_ignore::to_lower(cb);
-                         });
-        }
-      }
-      if (!partial_match) { return false; }
-    }
-    ++itr;
+  // Verify that the certificate and private key match
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  ret = mbedtls_pk_check_pair(&mctx->own_cert.pk, &mctx->own_key,
+                              mbedtls_ctr_drbg_random, &mctx->ctr_drbg);
+#else
+  ret = mbedtls_pk_check_pair(&mctx->own_cert.pk, &mctx->own_key);
+#endif
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  ret = mbedtls_ssl_conf_own_cert(&mctx->conf, &mctx->own_cert, &mctx->own_key);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
   }
 
   return true;
 }
-#endif
 
-// Universal client implementation
-Client::Client(const std::string &scheme_host_port)
-    : Client(scheme_host_port, std::string(), std::string()) {}
-
-Client::Client(const std::string &scheme_host_port,
-                      const std::string &client_cert_path,
-                      const std::string &client_key_path) {
-  const static std::regex re(
-      R"((?:([a-z]+):\/\/)?(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?)");
+bool set_client_cert_file(ctx_t ctx, const char *cert_path,
+                                 const char *key_path, const char *password) {
+  if (!ctx || !cert_path || !key_path) { return false; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
 
-  std::smatch m;
-  if (std::regex_match(scheme_host_port, m, re)) {
-    auto scheme = m[1].str();
+  // Parse certificate file
+  int ret = mbedtls_x509_crt_parse_file(&mctx->own_cert, cert_path);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    if (!scheme.empty() && (scheme != "http" && scheme != "https")) {
+  // Parse private key file
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  ret = mbedtls_pk_parse_keyfile(&mctx->own_key, key_path, password,
+                                 mbedtls_ctr_drbg_random, &mctx->ctr_drbg);
 #else
-    if (!scheme.empty() && scheme != "http") {
-#endif
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-      std::string msg = "'" + scheme + "' scheme is not supported.";
-      throw std::invalid_argument(msg);
+  ret = mbedtls_pk_parse_keyfile(&mctx->own_key, key_path, password);
 #endif
-      return;
-    }
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-    auto is_ssl = scheme == "https";
+  // Verify that the certificate and private key match
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  ret = mbedtls_pk_check_pair(&mctx->own_cert.pk, &mctx->own_key,
+                              mbedtls_ctr_drbg_random, &mctx->ctr_drbg);
+#else
+  ret = mbedtls_pk_check_pair(&mctx->own_cert.pk, &mctx->own_key);
+#endif
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-    auto host = m[2].str();
-    if (host.empty()) { host = m[3].str(); }
+  ret = mbedtls_ssl_conf_own_cert(&mctx->conf, &mctx->own_cert, &mctx->own_key);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
 
-    auto port_str = m[4].str();
-    auto port = !port_str.empty() ? std::stoi(port_str) : (is_ssl ? 443 : 80);
+  return true;
+}
 
-    if (is_ssl) {
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-      cli_ = detail::make_unique<SSLClient>(host, port, client_cert_path,
-                                            client_key_path);
-      is_ssl_ = is_ssl;
-#endif
-    } else {
-      cli_ = detail::make_unique<ClientImpl>(host, port, client_cert_path,
-                                             client_key_path);
-    }
+void set_verify_client(ctx_t ctx, bool require) {
+  if (!ctx) { return; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
+  mctx->verify_client = require;
+  if (require) {
+    mbedtls_ssl_conf_authmode(&mctx->conf, MBEDTLS_SSL_VERIFY_REQUIRED);
   } else {
-    // NOTE: Update TEST(UniversalClientImplTest, Ipv6LiteralAddress)
-    // if port param below changes.
-    cli_ = detail::make_unique<ClientImpl>(scheme_host_port, 80,
-                                           client_cert_path, client_key_path);
+    // If a verify callback is set, use OPTIONAL mode to ensure the callback
+    // is called (matching OpenSSL behavior). Otherwise use NONE.
+    mbedtls_ssl_conf_authmode(&mctx->conf, mctx->has_verify_callback
+                                               ? MBEDTLS_SSL_VERIFY_OPTIONAL
+                                               : MBEDTLS_SSL_VERIFY_NONE);
   }
-} // namespace detail
+}
 
-Client::Client(const std::string &host, int port)
-    : cli_(detail::make_unique<ClientImpl>(host, port)) {}
+session_t create_session(ctx_t ctx, socket_t sock) {
+  if (!ctx || sock == INVALID_SOCKET) { return nullptr; }
+  auto mctx = static_cast<impl::MbedTlsContext *>(ctx);
 
-Client::Client(const std::string &host, int port,
-                      const std::string &client_cert_path,
-                      const std::string &client_key_path)
-    : cli_(detail::make_unique<ClientImpl>(host, port, client_cert_path,
-                                           client_key_path)) {}
+  auto session = new (std::nothrow) impl::MbedTlsSession();
+  if (!session) { return nullptr; }
 
-Client::~Client() = default;
+  session->sock = sock;
 
-bool Client::is_valid() const {
-  return cli_ != nullptr && cli_->is_valid();
-}
+  int ret = mbedtls_ssl_setup(&session->ssl, &mctx->conf);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    delete session;
+    return nullptr;
+  }
 
-Result Client::Get(const std::string &path, DownloadProgress progress) {
-  return cli_->Get(path, std::move(progress));
-}
-Result Client::Get(const std::string &path, const Headers &headers,
-                          DownloadProgress progress) {
-  return cli_->Get(path, headers, std::move(progress));
-}
-Result Client::Get(const std::string &path,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Get(path, std::move(content_receiver), std::move(progress));
-}
-Result Client::Get(const std::string &path, const Headers &headers,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Get(path, headers, std::move(content_receiver),
-                   std::move(progress));
+  // Set BIO callbacks
+  mbedtls_ssl_set_bio(&session->ssl, &session->sock, impl::mbedtls_net_send_cb,
+                      impl::mbedtls_net_recv_cb, nullptr);
+
+  // Set per-session verify callback with session pointer if callback is
+  // registered
+  if (mctx->has_verify_callback) {
+    mbedtls_ssl_set_verify(&session->ssl, impl::mbedtls_verify_callback,
+                           session);
+  }
+
+  return static_cast<session_t>(session);
 }
-Result Client::Get(const std::string &path,
-                          ResponseHandler response_handler,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Get(path, std::move(response_handler),
-                   std::move(content_receiver), std::move(progress));
+
+void free_session(session_t session) {
+  if (session) { delete static_cast<impl::MbedTlsSession *>(session); }
 }
-Result Client::Get(const std::string &path, const Headers &headers,
-                          ResponseHandler response_handler,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Get(path, headers, std::move(response_handler),
-                   std::move(content_receiver), std::move(progress));
+
+bool set_sni(session_t session, const char *hostname) {
+  if (!session || !hostname) { return false; }
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+
+  int ret = mbedtls_ssl_set_hostname(&msession->ssl, hostname);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  msession->hostname = hostname;
+  return true;
 }
-Result Client::Get(const std::string &path, const Params &params,
-                          const Headers &headers, DownloadProgress progress) {
-  return cli_->Get(path, params, headers, std::move(progress));
+
+bool set_hostname(session_t session, const char *hostname) {
+  // In Mbed TLS, set_hostname also sets up hostname verification
+  return set_sni(session, hostname);
 }
-Result Client::Get(const std::string &path, const Params &params,
-                          const Headers &headers,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Get(path, params, headers, std::move(content_receiver),
-                   std::move(progress));
+
+TlsError connect(session_t session) {
+  TlsError err;
+  if (!session) {
+    err.code = ErrorCode::Fatal;
+    return err;
+  }
+
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+  int ret = mbedtls_ssl_handshake(&msession->ssl);
+
+  if (ret == 0) {
+    err.code = ErrorCode::Success;
+  } else {
+    err.code = impl::map_mbedtls_error(ret, err.sys_errno);
+    err.backend_code = static_cast<uint64_t>(-ret);
+    impl::mbedtls_last_error() = ret;
+  }
+
+  return err;
 }
-Result Client::Get(const std::string &path, const Params &params,
-                          const Headers &headers,
-                          ResponseHandler response_handler,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Get(path, params, headers, std::move(response_handler),
-                   std::move(content_receiver), std::move(progress));
+
+TlsError accept(session_t session) {
+  // Same as connect for Mbed TLS - handshake works for both client and server
+  auto result = connect(session);
+
+  // After successful handshake, capture SNI from thread-local storage
+  if (result.code == ErrorCode::Success && session) {
+    auto msession = static_cast<impl::MbedTlsSession *>(session);
+    msession->sni_hostname = std::move(impl::mbedpending_sni());
+    impl::mbedpending_sni().clear();
+  }
+
+  return result;
 }
 
-Result Client::Head(const std::string &path) { return cli_->Head(path); }
-Result Client::Head(const std::string &path, const Headers &headers) {
-  return cli_->Head(path, headers);
+bool connect_nonblocking(session_t session, socket_t sock,
+                                time_t timeout_sec, time_t timeout_usec,
+                                TlsError *err) {
+  if (!session) {
+    if (err) { err->code = ErrorCode::Fatal; }
+    return false;
+  }
+
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+
+  // Set socket to non-blocking mode
+  detail::set_nonblocking(sock, true);
+  auto cleanup =
+      detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+
+  int ret;
+  while ((ret = mbedtls_ssl_handshake(&msession->ssl)) != 0) {
+    if (ret == MBEDTLS_ERR_SSL_WANT_READ) {
+      if (detail::select_read(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+    } else if (ret == MBEDTLS_ERR_SSL_WANT_WRITE) {
+      if (detail::select_write(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+    }
+
+    // TlsError or timeout
+    if (err) {
+      err->code = impl::map_mbedtls_error(ret, err->sys_errno);
+      err->backend_code = static_cast<uint64_t>(-ret);
+    }
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  if (err) { err->code = ErrorCode::Success; }
+  return true;
 }
 
-Result Client::Post(const std::string &path) { return cli_->Post(path); }
-Result Client::Post(const std::string &path, const Headers &headers) {
-  return cli_->Post(path, headers);
+bool accept_nonblocking(session_t session, socket_t sock,
+                               time_t timeout_sec, time_t timeout_usec,
+                               TlsError *err) {
+  // Same implementation as connect for Mbed TLS
+  bool result =
+      connect_nonblocking(session, sock, timeout_sec, timeout_usec, err);
+
+  // After successful handshake, capture SNI from thread-local storage
+  if (result && session) {
+    auto msession = static_cast<impl::MbedTlsSession *>(session);
+    msession->sni_hostname = std::move(impl::mbedpending_sni());
+    impl::mbedpending_sni().clear();
+  }
+
+  return result;
 }
-Result Client::Post(const std::string &path, const char *body,
-                           size_t content_length,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, body, content_length, content_type, progress);
+
+ssize_t read(session_t session, void *buf, size_t len, TlsError &err) {
+  if (!session || !buf) {
+    err.code = ErrorCode::Fatal;
+    return -1;
+  }
+
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+  int ret =
+      mbedtls_ssl_read(&msession->ssl, static_cast<unsigned char *>(buf), len);
+
+  if (ret > 0) {
+    err.code = ErrorCode::Success;
+    return static_cast<ssize_t>(ret);
+  }
+
+  if (ret == 0) {
+    err.code = ErrorCode::PeerClosed;
+    return 0;
+  }
+
+  err.code = impl::map_mbedtls_error(ret, err.sys_errno);
+  err.backend_code = static_cast<uint64_t>(-ret);
+  impl::mbedtls_last_error() = ret;
+  return -1;
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const char *body, size_t content_length,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, body, content_length, content_type,
-                    progress);
+
+ssize_t write(session_t session, const void *buf, size_t len,
+                     TlsError &err) {
+  if (!session || !buf) {
+    err.code = ErrorCode::Fatal;
+    return -1;
+  }
+
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+  int ret = mbedtls_ssl_write(&msession->ssl,
+                              static_cast<const unsigned char *>(buf), len);
+
+  if (ret > 0) {
+    err.code = ErrorCode::Success;
+    return static_cast<ssize_t>(ret);
+  }
+
+  if (ret == 0) {
+    err.code = ErrorCode::PeerClosed;
+    return 0;
+  }
+
+  err.code = impl::map_mbedtls_error(ret, err.sys_errno);
+  err.backend_code = static_cast<uint64_t>(-ret);
+  impl::mbedtls_last_error() = ret;
+  return -1;
 }
-Result Client::Post(const std::string &path, const std::string &body,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, body, content_type, progress);
+
+int pending(const_session_t session) {
+  if (!session) { return 0; }
+  auto msession =
+      static_cast<impl::MbedTlsSession *>(const_cast<void *>(session));
+  return static_cast<int>(mbedtls_ssl_get_bytes_avail(&msession->ssl));
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const std::string &body,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, body, content_type, progress);
+
+void shutdown(session_t session, bool graceful) {
+  if (!session) { return; }
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+
+  if (graceful) {
+    // Try to send close_notify, but don't block forever
+    int ret;
+    int attempts = 0;
+    while ((ret = mbedtls_ssl_close_notify(&msession->ssl)) != 0 &&
+           attempts < 3) {
+      if (ret != MBEDTLS_ERR_SSL_WANT_READ &&
+          ret != MBEDTLS_ERR_SSL_WANT_WRITE) {
+        break;
+      }
+      attempts++;
+    }
+  }
 }
-Result Client::Post(const std::string &path, size_t content_length,
-                           ContentProvider content_provider,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, content_length, std::move(content_provider),
-                    content_type, progress);
+
+bool is_peer_closed(session_t session, socket_t sock) {
+  if (!session || sock == INVALID_SOCKET) { return true; }
+  auto msession = static_cast<impl::MbedTlsSession *>(session);
+
+  // Check if there's already decrypted data available in the TLS buffer
+  // If so, the connection is definitely alive
+  if (mbedtls_ssl_get_bytes_avail(&msession->ssl) > 0) { return false; }
+
+  // Set socket to non-blocking to avoid blocking on read
+  detail::set_nonblocking(sock, true);
+  auto cleanup =
+      detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+
+  // Try a 1-byte read to check connection status
+  // Note: This will consume the byte if data is available, but for the
+  // purpose of checking if peer is closed, this should be acceptable
+  // since we're only called when we expect the connection might be closing
+  unsigned char buf;
+  int ret = mbedtls_ssl_read(&msession->ssl, &buf, 1);
+
+  // If we got data or WANT_READ (would block), connection is alive
+  if (ret > 0 || ret == MBEDTLS_ERR_SSL_WANT_READ) { return false; }
+
+  // If we get a peer close notify or a connection reset, the peer is closed
+  return ret == MBEDTLS_ERR_SSL_PEER_CLOSE_NOTIFY ||
+         ret == MBEDTLS_ERR_NET_CONN_RESET || ret == 0;
+}
+
+cert_t get_peer_cert(const_session_t session) {
+  if (!session) { return nullptr; }
+  auto msession =
+      static_cast<impl::MbedTlsSession *>(const_cast<void *>(session));
+
+  // Mbed TLS returns a pointer to the internal peer cert chain.
+  // WARNING: This pointer is only valid while the session is active.
+  // Do not use the certificate after calling free_session().
+  const mbedtls_x509_crt *cert = mbedtls_ssl_get_peer_cert(&msession->ssl);
+  return const_cast<mbedtls_x509_crt *>(cert);
+}
+
+void free_cert(cert_t cert) {
+  // Mbed TLS: peer certificate is owned by the SSL context.
+  // No-op here, but callers should still call this for cross-backend
+  // portability.
+  (void)cert;
+}
+
+bool verify_hostname(cert_t cert, const char *hostname) {
+  if (!cert || !hostname) { return false; }
+  auto mcert = static_cast<const mbedtls_x509_crt *>(cert);
+  std::string host_str(hostname);
+
+  // Check if hostname is an IP address
+  bool is_ip = impl::is_ipv4_address(host_str);
+  unsigned char ip_bytes[4];
+  if (is_ip) { impl::parse_ipv4(host_str, ip_bytes); }
+
+  // Check Subject Alternative Names (SAN)
+  // In Mbed TLS 3.x, subject_alt_names contains raw values without ASN.1 tags
+  // - DNS names: raw string bytes
+  // - IP addresses: raw IP bytes (4 for IPv4, 16 for IPv6)
+  const mbedtls_x509_sequence *san = &mcert->subject_alt_names;
+  while (san != nullptr && san->buf.p != nullptr && san->buf.len > 0) {
+    const unsigned char *p = san->buf.p;
+    size_t len = san->buf.len;
+
+    if (is_ip) {
+      // Check if this SAN is an IPv4 address (4 bytes)
+      if (len == 4 && memcmp(p, ip_bytes, 4) == 0) { return true; }
+      // Check if this SAN is an IPv6 address (16 bytes) - skip for now
+    } else {
+      // Check if this SAN is a DNS name (printable ASCII string)
+      bool is_dns = len > 0;
+      for (size_t i = 0; i < len && is_dns; i++) {
+        if (p[i] < 32 || p[i] > 126) { is_dns = false; }
+      }
+      if (is_dns) {
+        std::string san_name(reinterpret_cast<const char *>(p), len);
+        if (detail::match_hostname(san_name, host_str)) { return true; }
+      }
+    }
+    san = san->next;
+  }
+
+  // Fallback: Check Common Name (CN) in subject
+  char cn[256];
+  int ret = mbedtls_x509_dn_gets(cn, sizeof(cn), &mcert->subject);
+  if (ret > 0) {
+    std::string cn_str(cn);
+
+    // Look for "CN=" in the DN string
+    size_t cn_pos = cn_str.find("CN=");
+    if (cn_pos != std::string::npos) {
+      size_t start = cn_pos + 3;
+      size_t end = cn_str.find(',', start);
+      std::string cn_value =
+          cn_str.substr(start, end == std::string::npos ? end : end - start);
+
+      if (detail::match_hostname(cn_value, host_str)) { return true; }
+    }
+  }
+
+  return false;
 }
-Result Client::Post(const std::string &path, size_t content_length,
-                           ContentProvider content_provider,
-                           const std::string &content_type,
-                           ContentReceiver content_receiver,
-                           UploadProgress progress) {
-  return cli_->Post(path, content_length, std::move(content_provider),
-                    content_type, std::move(content_receiver), progress);
+
+uint64_t hostname_mismatch_code() {
+  return static_cast<uint64_t>(MBEDTLS_X509_BADCERT_CN_MISMATCH);
 }
-Result Client::Post(const std::string &path,
-                           ContentProviderWithoutLength content_provider,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, std::move(content_provider), content_type, progress);
+
+long get_verify_result(const_session_t session) {
+  if (!session) { return -1; }
+  auto msession =
+      static_cast<impl::MbedTlsSession *>(const_cast<void *>(session));
+  uint32_t flags = mbedtls_ssl_get_verify_result(&msession->ssl);
+  // Return 0 (X509_V_OK equivalent) if verification passed
+  return flags == 0 ? 0 : static_cast<long>(flags);
 }
-Result Client::Post(const std::string &path,
-                           ContentProviderWithoutLength content_provider,
-                           const std::string &content_type,
-                           ContentReceiver content_receiver,
-                           UploadProgress progress) {
-  return cli_->Post(path, std::move(content_provider), content_type,
-                    std::move(content_receiver), progress);
+
+std::string get_cert_subject_cn(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<mbedtls_x509_crt *>(cert);
+
+  // Find the CN in the subject
+  const mbedtls_x509_name *name = &x509->subject;
+  while (name != nullptr) {
+    if (MBEDTLS_OID_CMP(MBEDTLS_OID_AT_CN, &name->oid) == 0) {
+      return std::string(reinterpret_cast<const char *>(name->val.p),
+                         name->val.len);
+    }
+    name = name->next;
+  }
+  return "";
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           size_t content_length,
-                           ContentProvider content_provider,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, content_length, std::move(content_provider),
-                    content_type, progress);
+
+std::string get_cert_issuer_name(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<mbedtls_x509_crt *>(cert);
+
+  // Build a human-readable issuer name string
+  char buf[512];
+  int ret = mbedtls_x509_dn_gets(buf, sizeof(buf), &x509->issuer);
+  if (ret < 0) return "";
+  return std::string(buf);
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           size_t content_length,
-                           ContentProvider content_provider,
-                           const std::string &content_type,
-                           ContentReceiver content_receiver,
-                           DownloadProgress progress) {
-  return cli_->Post(path, headers, content_length, std::move(content_provider),
-                    content_type, std::move(content_receiver), progress);
+
+bool get_cert_sans(cert_t cert, std::vector<SanEntry> &sans) {
+  sans.clear();
+  if (!cert) return false;
+  auto x509 = static_cast<mbedtls_x509_crt *>(cert);
+
+  // Parse the Subject Alternative Name extension
+  const mbedtls_x509_sequence *cur = &x509->subject_alt_names;
+  while (cur != nullptr) {
+    if (cur->buf.len > 0) {
+      // Mbed TLS stores SAN as ASN.1 sequences
+      // The tag byte indicates the type
+      const unsigned char *p = cur->buf.p;
+      size_t len = cur->buf.len;
+
+      // First byte is the tag
+      unsigned char tag = *p;
+      p++;
+      len--;
+
+      // Parse length (simple single-byte length assumed)
+      if (len > 0 && *p < 0x80) {
+        size_t value_len = *p;
+        p++;
+        len--;
+
+        if (value_len <= len) {
+          SanEntry entry;
+          // ASN.1 context tags for GeneralName
+          switch (tag & 0x1F) {
+          case 2: // dNSName
+            entry.type = SanType::DNS;
+            entry.value =
+                std::string(reinterpret_cast<const char *>(p), value_len);
+            break;
+          case 7: // iPAddress
+            entry.type = SanType::IP;
+            if (value_len == 4) {
+              // IPv4
+              char buf[16];
+              snprintf(buf, sizeof(buf), "%d.%d.%d.%d", p[0], p[1], p[2], p[3]);
+              entry.value = buf;
+            } else if (value_len == 16) {
+              // IPv6
+              char buf[64];
+              snprintf(buf, sizeof(buf),
+                       "%02x%02x:%02x%02x:%02x%02x:%02x%02x:"
+                       "%02x%02x:%02x%02x:%02x%02x:%02x%02x",
+                       p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], p[8],
+                       p[9], p[10], p[11], p[12], p[13], p[14], p[15]);
+              entry.value = buf;
+            }
+            break;
+          case 1: // rfc822Name (email)
+            entry.type = SanType::EMAIL;
+            entry.value =
+                std::string(reinterpret_cast<const char *>(p), value_len);
+            break;
+          case 6: // uniformResourceIdentifier
+            entry.type = SanType::URI;
+            entry.value =
+                std::string(reinterpret_cast<const char *>(p), value_len);
+            break;
+          default: entry.type = SanType::OTHER; break;
+          }
+
+          if (!entry.value.empty()) { sans.push_back(std::move(entry)); }
+        }
+      }
+    }
+    cur = cur->next;
+  }
+  return true;
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           ContentProviderWithoutLength content_provider,
-                           const std::string &content_type,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, std::move(content_provider), content_type,
-                    progress);
+
+bool get_cert_validity(cert_t cert, time_t &not_before,
+                              time_t &not_after) {
+  if (!cert) return false;
+  auto x509 = static_cast<mbedtls_x509_crt *>(cert);
+
+  // Convert mbedtls_x509_time to time_t
+  auto to_time_t = [](const mbedtls_x509_time &t) -> time_t {
+    struct tm tm_time = {};
+    tm_time.tm_year = t.year - 1900;
+    tm_time.tm_mon = t.mon - 1;
+    tm_time.tm_mday = t.day;
+    tm_time.tm_hour = t.hour;
+    tm_time.tm_min = t.min;
+    tm_time.tm_sec = t.sec;
+#ifdef _WIN32
+    return _mkgmtime(&tm_time);
+#else
+    return timegm(&tm_time);
+#endif
+  };
+
+  not_before = to_time_t(x509->valid_from);
+  not_after = to_time_t(x509->valid_to);
+  return true;
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           ContentProviderWithoutLength content_provider,
-                           const std::string &content_type,
-                           ContentReceiver content_receiver,
-                           DownloadProgress progress) {
-  return cli_->Post(path, headers, std::move(content_provider), content_type,
-                    std::move(content_receiver), progress);
+
+std::string get_cert_serial(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<mbedtls_x509_crt *>(cert);
+
+  // Convert serial number to hex string
+  std::string result;
+  result.reserve(x509->serial.len * 2);
+  for (size_t i = 0; i < x509->serial.len; i++) {
+    char hex[3];
+    snprintf(hex, sizeof(hex), "%02X", x509->serial.p[i]);
+    result += hex;
+  }
+  return result;
 }
-Result Client::Post(const std::string &path, const Params &params) {
-  return cli_->Post(path, params);
+
+bool get_cert_der(cert_t cert, std::vector<unsigned char> &der) {
+  if (!cert) return false;
+  auto crt = static_cast<mbedtls_x509_crt *>(cert);
+  if (!crt->raw.p || crt->raw.len == 0) return false;
+  der.assign(crt->raw.p, crt->raw.p + crt->raw.len);
+  return true;
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const Params &params) {
-  return cli_->Post(path, headers, params);
+
+const char *get_sni(const_session_t session) {
+  if (!session) return nullptr;
+  auto msession = static_cast<const impl::MbedTlsSession *>(session);
+
+  // For server: return SNI received from client during handshake
+  if (!msession->sni_hostname.empty()) {
+    return msession->sni_hostname.c_str();
+  }
+
+  // For client: return the hostname set via set_sni
+  if (!msession->hostname.empty()) { return msession->hostname.c_str(); }
+
+  return nullptr;
 }
-Result Client::Post(const std::string &path,
-                           const UploadFormDataItems &items,
-                           UploadProgress progress) {
-  return cli_->Post(path, items, progress);
+
+uint64_t peek_error() {
+  // Mbed TLS doesn't have an error queue, return the last error
+  return static_cast<uint64_t>(-impl::mbedtls_last_error());
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const UploadFormDataItems &items,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, items, progress);
+
+uint64_t get_error() {
+  // Mbed TLS doesn't have an error queue, return and clear the last error
+  uint64_t err = static_cast<uint64_t>(-impl::mbedtls_last_error());
+  impl::mbedtls_last_error() = 0;
+  return err;
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const UploadFormDataItems &items,
-                           const std::string &boundary,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, items, boundary, progress);
+
+std::string error_string(uint64_t code) {
+  char buf[256];
+  mbedtls_strerror(-static_cast<int>(code), buf, sizeof(buf));
+  return std::string(buf);
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const UploadFormDataItems &items,
-                           const FormDataProviderItems &provider_items,
-                           UploadProgress progress) {
-  return cli_->Post(path, headers, items, provider_items, progress);
+
+ca_store_t create_ca_store(const char *pem, size_t len) {
+  auto *ca_chain = new (std::nothrow) mbedtls_x509_crt;
+  if (!ca_chain) { return nullptr; }
+
+  mbedtls_x509_crt_init(ca_chain);
+
+  // mbedtls_x509_crt_parse expects null-terminated PEM
+  int ret = mbedtls_x509_crt_parse(ca_chain,
+                                   reinterpret_cast<const unsigned char *>(pem),
+                                   len + 1); // +1 for null terminator
+  if (ret != 0) {
+    // Try without +1 in case PEM is already null-terminated
+    ret = mbedtls_x509_crt_parse(
+        ca_chain, reinterpret_cast<const unsigned char *>(pem), len);
+    if (ret != 0) {
+      mbedtls_x509_crt_free(ca_chain);
+      delete ca_chain;
+      return nullptr;
+    }
+  }
+
+  return static_cast<ca_store_t>(ca_chain);
 }
-Result Client::Post(const std::string &path, const Headers &headers,
-                           const std::string &body,
-                           const std::string &content_type,
-                           ContentReceiver content_receiver,
-                           DownloadProgress progress) {
-  return cli_->Post(path, headers, body, content_type,
-                    std::move(content_receiver), progress);
+
+void free_ca_store(ca_store_t store) {
+  if (store) {
+    auto *ca_chain = static_cast<mbedtls_x509_crt *>(store);
+    mbedtls_x509_crt_free(ca_chain);
+    delete ca_chain;
+  }
 }
 
-Result Client::Put(const std::string &path) { return cli_->Put(path); }
-Result Client::Put(const std::string &path, const Headers &headers) {
-  return cli_->Put(path, headers);
+bool set_ca_store(ctx_t ctx, ca_store_t store) {
+  if (!ctx || !store) { return false; }
+  auto *mbed_ctx = static_cast<impl::MbedTlsContext *>(ctx);
+  auto *ca_chain = static_cast<mbedtls_x509_crt *>(store);
+
+  // Free existing CA chain
+  mbedtls_x509_crt_free(&mbed_ctx->ca_chain);
+  mbedtls_x509_crt_init(&mbed_ctx->ca_chain);
+
+  // Copy the CA chain (deep copy)
+  // Parse from the raw data of the source cert
+  mbedtls_x509_crt *src = ca_chain;
+  while (src != nullptr) {
+    int ret = mbedtls_x509_crt_parse_der(&mbed_ctx->ca_chain, src->raw.p,
+                                         src->raw.len);
+    if (ret != 0) { return false; }
+    src = src->next;
+  }
+
+  // Update the SSL config to use the new CA chain
+  mbedtls_ssl_conf_ca_chain(&mbed_ctx->conf, &mbed_ctx->ca_chain, nullptr);
+  return true;
 }
-Result Client::Put(const std::string &path, const char *body,
-                          size_t content_length,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, body, content_length, content_type, progress);
+
+size_t get_ca_certs(ctx_t ctx, std::vector<cert_t> &certs) {
+  certs.clear();
+  if (!ctx) { return 0; }
+  auto *mbed_ctx = static_cast<impl::MbedTlsContext *>(ctx);
+
+  // Iterate through the CA chain
+  mbedtls_x509_crt *cert = &mbed_ctx->ca_chain;
+  while (cert != nullptr && cert->raw.len > 0) {
+    // Create a copy of the certificate for the caller
+    auto *copy = new mbedtls_x509_crt;
+    mbedtls_x509_crt_init(copy);
+    int ret = mbedtls_x509_crt_parse_der(copy, cert->raw.p, cert->raw.len);
+    if (ret == 0) {
+      certs.push_back(static_cast<cert_t>(copy));
+    } else {
+      mbedtls_x509_crt_free(copy);
+      delete copy;
+    }
+    cert = cert->next;
+  }
+  return certs.size();
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const char *body, size_t content_length,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, body, content_length, content_type, progress);
+
+std::vector<std::string> get_ca_names(ctx_t ctx) {
+  std::vector<std::string> names;
+  if (!ctx) { return names; }
+  auto *mbed_ctx = static_cast<impl::MbedTlsContext *>(ctx);
+
+  // Iterate through the CA chain
+  mbedtls_x509_crt *cert = &mbed_ctx->ca_chain;
+  while (cert != nullptr && cert->raw.len > 0) {
+    char buf[512];
+    int ret = mbedtls_x509_dn_gets(buf, sizeof(buf), &cert->subject);
+    if (ret > 0) { names.push_back(buf); }
+    cert = cert->next;
+  }
+  return names;
 }
-Result Client::Put(const std::string &path, const std::string &body,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, body, content_type, progress);
+
+bool update_server_cert(ctx_t ctx, const char *cert_pem,
+                               const char *key_pem, const char *password) {
+  if (!ctx || !cert_pem || !key_pem) { return false; }
+  auto *mbed_ctx = static_cast<impl::MbedTlsContext *>(ctx);
+
+  // Free existing certificate and key
+  mbedtls_x509_crt_free(&mbed_ctx->own_cert);
+  mbedtls_pk_free(&mbed_ctx->own_key);
+  mbedtls_x509_crt_init(&mbed_ctx->own_cert);
+  mbedtls_pk_init(&mbed_ctx->own_key);
+
+  // Parse certificate PEM
+  int ret = mbedtls_x509_crt_parse(
+      &mbed_ctx->own_cert, reinterpret_cast<const unsigned char *>(cert_pem),
+      strlen(cert_pem) + 1);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  // Parse private key PEM
+#ifdef CPPHTTPLIB_MBEDTLS_V3
+  ret = mbedtls_pk_parse_key(
+      &mbed_ctx->own_key, reinterpret_cast<const unsigned char *>(key_pem),
+      strlen(key_pem) + 1,
+      password ? reinterpret_cast<const unsigned char *>(password) : nullptr,
+      password ? strlen(password) : 0, mbedtls_ctr_drbg_random,
+      &mbed_ctx->ctr_drbg);
+#else
+  ret = mbedtls_pk_parse_key(
+      &mbed_ctx->own_key, reinterpret_cast<const unsigned char *>(key_pem),
+      strlen(key_pem) + 1,
+      password ? reinterpret_cast<const unsigned char *>(password) : nullptr,
+      password ? strlen(password) : 0);
+#endif
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  // Configure SSL to use the new certificate and key
+  ret = mbedtls_ssl_conf_own_cert(&mbed_ctx->conf, &mbed_ctx->own_cert,
+                                  &mbed_ctx->own_key);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  return true;
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const std::string &body,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, body, content_type, progress);
+
+bool update_server_client_ca(ctx_t ctx, const char *ca_pem) {
+  if (!ctx || !ca_pem) { return false; }
+  auto *mbed_ctx = static_cast<impl::MbedTlsContext *>(ctx);
+
+  // Free existing CA chain
+  mbedtls_x509_crt_free(&mbed_ctx->ca_chain);
+  mbedtls_x509_crt_init(&mbed_ctx->ca_chain);
+
+  // Parse CA PEM
+  int ret = mbedtls_x509_crt_parse(
+      &mbed_ctx->ca_chain, reinterpret_cast<const unsigned char *>(ca_pem),
+      strlen(ca_pem) + 1);
+  if (ret != 0) {
+    impl::mbedtls_last_error() = ret;
+    return false;
+  }
+
+  // Update SSL config to use new CA chain
+  mbedtls_ssl_conf_ca_chain(&mbed_ctx->conf, &mbed_ctx->ca_chain, nullptr);
+  return true;
 }
-Result Client::Put(const std::string &path, size_t content_length,
-                          ContentProvider content_provider,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, content_length, std::move(content_provider),
-                   content_type, progress);
+
+bool set_verify_callback(ctx_t ctx, VerifyCallback callback) {
+  if (!ctx) { return false; }
+  auto *mbed_ctx = static_cast<impl::MbedTlsContext *>(ctx);
+
+  impl::get_verify_callback() = std::move(callback);
+  mbed_ctx->has_verify_callback =
+      static_cast<bool>(impl::get_verify_callback());
+
+  if (mbed_ctx->has_verify_callback) {
+    // Set OPTIONAL mode to ensure callback is called even when verification
+    // is disabled (matching OpenSSL behavior where SSL_VERIFY_PEER is set)
+    mbedtls_ssl_conf_authmode(&mbed_ctx->conf, MBEDTLS_SSL_VERIFY_OPTIONAL);
+    mbedtls_ssl_conf_verify(&mbed_ctx->conf, impl::mbedtls_verify_callback,
+                            nullptr);
+  } else {
+    mbedtls_ssl_conf_verify(&mbed_ctx->conf, nullptr, nullptr);
+  }
+  return true;
 }
-Result Client::Put(const std::string &path, size_t content_length,
-                          ContentProvider content_provider,
-                          const std::string &content_type,
-                          ContentReceiver content_receiver,
-                          UploadProgress progress) {
-  return cli_->Put(path, content_length, std::move(content_provider),
-                   content_type, std::move(content_receiver), progress);
+
+long get_verify_error(const_session_t session) {
+  if (!session) { return -1; }
+  auto *msession =
+      static_cast<impl::MbedTlsSession *>(const_cast<void *>(session));
+  return static_cast<long>(mbedtls_ssl_get_verify_result(&msession->ssl));
 }
-Result Client::Put(const std::string &path,
-                          ContentProviderWithoutLength content_provider,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, std::move(content_provider), content_type, progress);
+
+std::string verify_error_string(long error_code) {
+  if (error_code == 0) { return ""; }
+  char buf[256];
+  mbedtls_x509_crt_verify_info(buf, sizeof(buf), "",
+                               static_cast<uint32_t>(error_code));
+  // Remove trailing newline if present
+  std::string result(buf);
+  while (!result.empty() && (result.back() == '\n' || result.back() == ' ')) {
+    result.pop_back();
+  }
+  return result;
 }
-Result Client::Put(const std::string &path,
-                          ContentProviderWithoutLength content_provider,
-                          const std::string &content_type,
-                          ContentReceiver content_receiver,
-                          UploadProgress progress) {
-  return cli_->Put(path, std::move(content_provider), content_type,
-                   std::move(content_receiver), progress);
+
+} // namespace tls
+
+#endif // CPPHTTPLIB_MBEDTLS_SUPPORT
+
+/*
+ * Group 10: TLS abstraction layer - wolfSSL backend
+ */
+
+/*
+ * wolfSSL Backend Implementation
+ */
+
+#ifdef CPPHTTPLIB_WOLFSSL_SUPPORT
+namespace tls {
+
+namespace impl {
+
+// wolfSSL session wrapper
+struct WolfSSLSession {
+  WOLFSSL *ssl = nullptr;
+  socket_t sock = INVALID_SOCKET;
+  std::string hostname;     // For client: set via set_sni
+  std::string sni_hostname; // For server: received from client via SNI callback
+
+  WolfSSLSession() = default;
+
+  ~WolfSSLSession() {
+    if (ssl) { wolfSSL_free(ssl); }
+  }
+
+  WolfSSLSession(const WolfSSLSession &) = delete;
+  WolfSSLSession &operator=(const WolfSSLSession &) = delete;
+};
+
+// Thread-local error code accessor for wolfSSL
+uint64_t &wolfssl_last_error() {
+  static thread_local uint64_t err = 0;
+  return err;
+}
+
+// Helper to map wolfSSL error to ErrorCode.
+// ssl_error is the value from wolfSSL_get_error().
+// raw_ret is the raw return value from the wolfSSL call (for low-level error).
+ErrorCode map_wolfssl_error(WOLFSSL *ssl, int ssl_error,
+                                   int &out_errno) {
+  switch (ssl_error) {
+  case SSL_ERROR_NONE: return ErrorCode::Success;
+  case SSL_ERROR_WANT_READ: return ErrorCode::WantRead;
+  case SSL_ERROR_WANT_WRITE: return ErrorCode::WantWrite;
+  case SSL_ERROR_ZERO_RETURN: return ErrorCode::PeerClosed;
+  case SSL_ERROR_SYSCALL: out_errno = errno; return ErrorCode::SyscallError;
+  default:
+    if (ssl) {
+      // wolfSSL stores the low-level error code as a negative value.
+      // DOMAIN_NAME_MISMATCH (-322) indicates hostname verification failure.
+      int low_err = ssl_error; // wolfSSL_get_error returns the low-level code
+      if (low_err == DOMAIN_NAME_MISMATCH) {
+        return ErrorCode::HostnameMismatch;
+      }
+      // Check verify result to distinguish cert verification from generic SSL
+      // errors.
+      long vr = wolfSSL_get_verify_result(ssl);
+      if (vr != 0) { return ErrorCode::CertVerifyFailed; }
+    }
+    return ErrorCode::Fatal;
+  }
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          size_t content_length,
-                          ContentProvider content_provider,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, content_length, std::move(content_provider),
-                   content_type, progress);
+
+// WolfSSLContext constructor/destructor implementations
+WolfSSLContext::WolfSSLContext() { wolfSSL_Init(); }
+
+WolfSSLContext::~WolfSSLContext() {
+  if (ctx) { wolfSSL_CTX_free(ctx); }
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          size_t content_length,
-                          ContentProvider content_provider,
-                          const std::string &content_type,
-                          ContentReceiver content_receiver,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, content_length, std::move(content_provider),
-                   content_type, std::move(content_receiver), progress);
+
+// Thread-local storage for SNI captured during handshake
+std::string &wolfssl_pending_sni() {
+  static thread_local std::string sni;
+  return sni;
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          ContentProviderWithoutLength content_provider,
-                          const std::string &content_type,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, std::move(content_provider), content_type,
-                   progress);
+
+// SNI callback for wolfSSL server to capture client's SNI hostname
+int wolfssl_sni_callback(WOLFSSL *ssl, int *ret, void *exArg) {
+  (void)ret;
+  (void)exArg;
+
+  void *name_data = nullptr;
+  unsigned short name_len =
+      wolfSSL_SNI_GetRequest(ssl, WOLFSSL_SNI_HOST_NAME, &name_data);
+
+  if (name_data && name_len > 0) {
+    wolfssl_pending_sni().assign(static_cast<const char *>(name_data),
+                                 name_len);
+  } else {
+    wolfssl_pending_sni().clear();
+  }
+  return 0; // Continue regardless
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          ContentProviderWithoutLength content_provider,
-                          const std::string &content_type,
-                          ContentReceiver content_receiver,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, std::move(content_provider), content_type,
-                   std::move(content_receiver), progress);
+
+// wolfSSL verify callback wrapper
+int wolfssl_verify_callback(int preverify_ok,
+                                   WOLFSSL_X509_STORE_CTX *x509_ctx) {
+  auto &callback = get_verify_callback();
+  if (!callback) { return preverify_ok; }
+
+  WOLFSSL_X509 *cert = wolfSSL_X509_STORE_CTX_get_current_cert(x509_ctx);
+  int depth = wolfSSL_X509_STORE_CTX_get_error_depth(x509_ctx);
+  int err = wolfSSL_X509_STORE_CTX_get_error(x509_ctx);
+
+  // Get the WOLFSSL object from the X509_STORE_CTX
+  WOLFSSL *ssl = static_cast<WOLFSSL *>(wolfSSL_X509_STORE_CTX_get_ex_data(
+      x509_ctx, wolfSSL_get_ex_data_X509_STORE_CTX_idx()));
+
+  VerifyContext verify_ctx;
+  verify_ctx.session = static_cast<session_t>(ssl);
+  verify_ctx.cert = static_cast<cert_t>(cert);
+  verify_ctx.depth = depth;
+  verify_ctx.preverify_ok = (preverify_ok != 0);
+  verify_ctx.error_code = static_cast<long>(err);
+
+  if (err != 0) {
+    verify_ctx.error_string = wolfSSL_X509_verify_cert_error_string(err);
+  } else {
+    verify_ctx.error_string = nullptr;
+  }
+
+  bool accepted = callback(verify_ctx);
+  return accepted ? 1 : 0;
 }
-Result Client::Put(const std::string &path, const Params &params) {
-  return cli_->Put(path, params);
+
+void set_wolfssl_password_cb(WOLFSSL_CTX *ctx, const char *password) {
+  wolfSSL_CTX_set_default_passwd_cb_userdata(ctx, const_cast<char *>(password));
+  wolfSSL_CTX_set_default_passwd_cb(
+      ctx, [](char *buf, int size, int /*rwflag*/, void *userdata) -> int {
+        auto *pwd = static_cast<const char *>(userdata);
+        if (!pwd) return 0;
+        auto len = static_cast<int>(strlen(pwd));
+        if (len > size) len = size;
+        memcpy(buf, pwd, static_cast<size_t>(len));
+        return len;
+      });
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const Params &params) {
-  return cli_->Put(path, headers, params);
+
+} // namespace impl
+
+ctx_t create_client_context() {
+  auto ctx = new (std::nothrow) impl::WolfSSLContext();
+  if (!ctx) { return nullptr; }
+
+  ctx->is_server = false;
+
+  WOLFSSL_METHOD *method = wolfTLSv1_2_client_method();
+  if (!method) {
+    delete ctx;
+    return nullptr;
+  }
+
+  ctx->ctx = wolfSSL_CTX_new(method);
+  if (!ctx->ctx) {
+    delete ctx;
+    return nullptr;
+  }
+
+  // Default: verify peer certificate
+  wolfSSL_CTX_set_verify(ctx->ctx, SSL_VERIFY_PEER, nullptr);
+
+  return static_cast<ctx_t>(ctx);
 }
-Result Client::Put(const std::string &path,
-                          const UploadFormDataItems &items,
-                          UploadProgress progress) {
-  return cli_->Put(path, items, progress);
+
+ctx_t create_server_context() {
+  auto ctx = new (std::nothrow) impl::WolfSSLContext();
+  if (!ctx) { return nullptr; }
+
+  ctx->is_server = true;
+
+  WOLFSSL_METHOD *method = wolfTLSv1_2_server_method();
+  if (!method) {
+    delete ctx;
+    return nullptr;
+  }
+
+  ctx->ctx = wolfSSL_CTX_new(method);
+  if (!ctx->ctx) {
+    delete ctx;
+    return nullptr;
+  }
+
+  // Default: don't verify client
+  wolfSSL_CTX_set_verify(ctx->ctx, SSL_VERIFY_NONE, nullptr);
+
+  // Enable SNI on server
+  wolfSSL_CTX_SNI_SetOptions(ctx->ctx, WOLFSSL_SNI_HOST_NAME,
+                             WOLFSSL_SNI_CONTINUE_ON_MISMATCH);
+  wolfSSL_CTX_set_servername_callback(ctx->ctx, impl::wolfssl_sni_callback);
+
+  return static_cast<ctx_t>(ctx);
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const UploadFormDataItems &items,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, items, progress);
+
+void free_context(ctx_t ctx) {
+  if (ctx) { delete static_cast<impl::WolfSSLContext *>(ctx); }
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const UploadFormDataItems &items,
-                          const std::string &boundary,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, items, boundary, progress);
+
+bool set_min_version(ctx_t ctx, Version version) {
+  if (!ctx) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  int min_ver = WOLFSSL_TLSV1_2;
+  if (version >= Version::TLS1_3) { min_ver = WOLFSSL_TLSV1_3; }
+
+  return wolfSSL_CTX_SetMinVersion(wctx->ctx, min_ver) == WOLFSSL_SUCCESS;
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const UploadFormDataItems &items,
-                          const FormDataProviderItems &provider_items,
-                          UploadProgress progress) {
-  return cli_->Put(path, headers, items, provider_items, progress);
+
+bool load_ca_pem(ctx_t ctx, const char *pem, size_t len) {
+  if (!ctx || !pem) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  int ret = wolfSSL_CTX_load_verify_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(pem),
+      static_cast<long>(len), SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+  wctx->ca_pem_data_.append(pem, len);
+  return true;
 }
-Result Client::Put(const std::string &path, const Headers &headers,
-                          const std::string &body,
-                          const std::string &content_type,
-                          ContentReceiver content_receiver,
-                          DownloadProgress progress) {
-  return cli_->Put(path, headers, body, content_type, content_receiver,
-                   progress);
+
+bool load_ca_file(ctx_t ctx, const char *file_path) {
+  if (!ctx || !file_path) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  int ret = wolfSSL_CTX_load_verify_locations(wctx->ctx, file_path, nullptr);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+  return true;
 }
 
-Result Client::Patch(const std::string &path) {
-  return cli_->Patch(path);
+bool load_ca_dir(ctx_t ctx, const char *dir_path) {
+  if (!ctx || !dir_path) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  int ret = wolfSSL_CTX_load_verify_locations(wctx->ctx, nullptr, dir_path);
+  // wolfSSL may fail if the directory doesn't contain properly hashed certs.
+  // Unlike OpenSSL which lazily loads certs from directories, wolfSSL scans
+  // immediately. Return true even on failure since the CA file may have
+  // already been loaded, matching OpenSSL's lenient behavior.
+  (void)ret;
+  return true;
 }
-Result Client::Patch(const std::string &path, const Headers &headers) {
-  return cli_->Patch(path, headers);
+
+bool load_system_certs(ctx_t ctx) {
+  if (!ctx) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+  bool loaded = false;
+
+#ifdef _WIN32
+  loaded = impl::enumerate_windows_system_certs(
+      [&](const unsigned char *data, size_t len) {
+        return wolfSSL_CTX_load_verify_buffer(wctx->ctx, data,
+                                              static_cast<long>(len),
+                                              SSL_FILETYPE_ASN1) == SSL_SUCCESS;
+      });
+#elif defined(__APPLE__) && defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
+  loaded = impl::enumerate_macos_keychain_certs(
+      [&](const unsigned char *data, size_t len) {
+        return wolfSSL_CTX_load_verify_buffer(wctx->ctx, data,
+                                              static_cast<long>(len),
+                                              SSL_FILETYPE_ASN1) == SSL_SUCCESS;
+      });
+#else
+  for (auto path = impl::system_ca_paths(); *path; ++path) {
+    if (wolfSSL_CTX_load_verify_locations(wctx->ctx, *path, nullptr) ==
+        SSL_SUCCESS) {
+      loaded = true;
+      break;
+    }
+  }
+
+  if (!loaded) {
+    for (auto dir = impl::system_ca_dirs(); *dir; ++dir) {
+      if (wolfSSL_CTX_load_verify_locations(wctx->ctx, nullptr, *dir) ==
+          SSL_SUCCESS) {
+        loaded = true;
+        break;
+      }
+    }
+  }
+#endif
+
+  return loaded;
 }
-Result Client::Patch(const std::string &path, const char *body,
-                            size_t content_length,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, body, content_length, content_type, progress);
+
+bool set_client_cert_pem(ctx_t ctx, const char *cert, const char *key,
+                                const char *password) {
+  if (!ctx || !cert || !key) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  // Load certificate
+  int ret = wolfSSL_CTX_use_certificate_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(cert),
+      static_cast<long>(strlen(cert)), SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+
+  // Set password callback if password is provided
+  if (password) { impl::set_wolfssl_password_cb(wctx->ctx, password); }
+
+  // Load private key
+  ret = wolfSSL_CTX_use_PrivateKey_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(key),
+      static_cast<long>(strlen(key)), SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+
+  // Verify that the certificate and private key match
+  return wolfSSL_CTX_check_private_key(wctx->ctx) == SSL_SUCCESS;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const char *body, size_t content_length,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, body, content_length, content_type,
-                     progress);
+
+bool set_client_cert_file(ctx_t ctx, const char *cert_path,
+                                 const char *key_path, const char *password) {
+  if (!ctx || !cert_path || !key_path) { return false; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  // Load certificate file
+  int ret =
+      wolfSSL_CTX_use_certificate_file(wctx->ctx, cert_path, SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+
+  // Set password callback if password is provided
+  if (password) { impl::set_wolfssl_password_cb(wctx->ctx, password); }
+
+  // Load private key file
+  ret = wolfSSL_CTX_use_PrivateKey_file(wctx->ctx, key_path, SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+
+  // Verify that the certificate and private key match
+  return wolfSSL_CTX_check_private_key(wctx->ctx) == SSL_SUCCESS;
 }
-Result Client::Patch(const std::string &path, const std::string &body,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, body, content_type, progress);
+
+void set_verify_client(ctx_t ctx, bool require) {
+  if (!ctx) { return; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+  wctx->verify_client = require;
+  if (require) {
+    wolfSSL_CTX_set_verify(
+        wctx->ctx, SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT,
+        wctx->has_verify_callback ? impl::wolfssl_verify_callback : nullptr);
+  } else {
+    if (wctx->has_verify_callback) {
+      wolfSSL_CTX_set_verify(wctx->ctx, SSL_VERIFY_PEER,
+                             impl::wolfssl_verify_callback);
+    } else {
+      wolfSSL_CTX_set_verify(wctx->ctx, SSL_VERIFY_NONE, nullptr);
+    }
+  }
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const std::string &body,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, body, content_type, progress);
+
+session_t create_session(ctx_t ctx, socket_t sock) {
+  if (!ctx || sock == INVALID_SOCKET) { return nullptr; }
+  auto wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  auto session = new (std::nothrow) impl::WolfSSLSession();
+  if (!session) { return nullptr; }
+
+  session->sock = sock;
+  session->ssl = wolfSSL_new(wctx->ctx);
+  if (!session->ssl) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    delete session;
+    return nullptr;
+  }
+
+  wolfSSL_set_fd(session->ssl, static_cast<int>(sock));
+
+  return static_cast<session_t>(session);
 }
-Result Client::Patch(const std::string &path, size_t content_length,
-                            ContentProvider content_provider,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, content_length, std::move(content_provider),
-                     content_type, progress);
+
+void free_session(session_t session) {
+  if (session) { delete static_cast<impl::WolfSSLSession *>(session); }
 }
-Result Client::Patch(const std::string &path, size_t content_length,
-                            ContentProvider content_provider,
-                            const std::string &content_type,
-                            ContentReceiver content_receiver,
-                            UploadProgress progress) {
-  return cli_->Patch(path, content_length, std::move(content_provider),
-                     content_type, std::move(content_receiver), progress);
+
+bool set_sni(session_t session, const char *hostname) {
+  if (!session || !hostname) { return false; }
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+
+  int ret = wolfSSL_UseSNI(wsession->ssl, WOLFSSL_SNI_HOST_NAME, hostname,
+                           static_cast<word16>(strlen(hostname)));
+  if (ret != WOLFSSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+
+  // Also set hostname for verification
+  wolfSSL_check_domain_name(wsession->ssl, hostname);
+
+  wsession->hostname = hostname;
+  return true;
 }
-Result Client::Patch(const std::string &path,
-                            ContentProviderWithoutLength content_provider,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, std::move(content_provider), content_type, progress);
+
+bool set_hostname(session_t session, const char *hostname) {
+  // In wolfSSL, set_hostname also sets up hostname verification
+  return set_sni(session, hostname);
 }
-Result Client::Patch(const std::string &path,
-                            ContentProviderWithoutLength content_provider,
-                            const std::string &content_type,
-                            ContentReceiver content_receiver,
-                            UploadProgress progress) {
-  return cli_->Patch(path, std::move(content_provider), content_type,
-                     std::move(content_receiver), progress);
+
+TlsError connect(session_t session) {
+  TlsError err;
+  if (!session) {
+    err.code = ErrorCode::Fatal;
+    return err;
+  }
+
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+  int ret = wolfSSL_connect(wsession->ssl);
+
+  if (ret == SSL_SUCCESS) {
+    err.code = ErrorCode::Success;
+  } else {
+    int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+    err.code = impl::map_wolfssl_error(wsession->ssl, ssl_error, err.sys_errno);
+    err.backend_code = static_cast<uint64_t>(ssl_error);
+    impl::wolfssl_last_error() = err.backend_code;
+  }
+
+  return err;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            size_t content_length,
-                            ContentProvider content_provider,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, content_length, std::move(content_provider),
-                     content_type, progress);
+
+TlsError accept(session_t session) {
+  TlsError err;
+  if (!session) {
+    err.code = ErrorCode::Fatal;
+    return err;
+  }
+
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+  int ret = wolfSSL_accept(wsession->ssl);
+
+  if (ret == SSL_SUCCESS) {
+    err.code = ErrorCode::Success;
+    // Capture SNI from thread-local storage after successful handshake
+    wsession->sni_hostname = std::move(impl::wolfssl_pending_sni());
+    impl::wolfssl_pending_sni().clear();
+  } else {
+    int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+    err.code = impl::map_wolfssl_error(wsession->ssl, ssl_error, err.sys_errno);
+    err.backend_code = static_cast<uint64_t>(ssl_error);
+    impl::wolfssl_last_error() = err.backend_code;
+  }
+
+  return err;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            size_t content_length,
-                            ContentProvider content_provider,
-                            const std::string &content_type,
-                            ContentReceiver content_receiver,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, content_length, std::move(content_provider),
-                     content_type, std::move(content_receiver), progress);
+
+bool connect_nonblocking(session_t session, socket_t sock,
+                                time_t timeout_sec, time_t timeout_usec,
+                                TlsError *err) {
+  if (!session) {
+    if (err) { err->code = ErrorCode::Fatal; }
+    return false;
+  }
+
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+
+  // Set socket to non-blocking mode
+  detail::set_nonblocking(sock, true);
+  auto cleanup =
+      detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+
+  int ret;
+  while ((ret = wolfSSL_connect(wsession->ssl)) != SSL_SUCCESS) {
+    int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+    if (ssl_error == SSL_ERROR_WANT_READ) {
+      if (detail::select_read(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+    } else if (ssl_error == SSL_ERROR_WANT_WRITE) {
+      if (detail::select_write(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+    }
+
+    // Error or timeout
+    if (err) {
+      err->code =
+          impl::map_wolfssl_error(wsession->ssl, ssl_error, err->sys_errno);
+      err->backend_code = static_cast<uint64_t>(ssl_error);
+    }
+    impl::wolfssl_last_error() = static_cast<uint64_t>(ssl_error);
+    return false;
+  }
+
+  if (err) { err->code = ErrorCode::Success; }
+  return true;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            ContentProviderWithoutLength content_provider,
-                            const std::string &content_type,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, std::move(content_provider), content_type,
-                     progress);
+
+bool accept_nonblocking(session_t session, socket_t sock,
+                               time_t timeout_sec, time_t timeout_usec,
+                               TlsError *err) {
+  if (!session) {
+    if (err) { err->code = ErrorCode::Fatal; }
+    return false;
+  }
+
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+
+  // Set socket to non-blocking mode
+  detail::set_nonblocking(sock, true);
+  auto cleanup =
+      detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+
+  int ret;
+  while ((ret = wolfSSL_accept(wsession->ssl)) != SSL_SUCCESS) {
+    int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+    if (ssl_error == SSL_ERROR_WANT_READ) {
+      if (detail::select_read(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+    } else if (ssl_error == SSL_ERROR_WANT_WRITE) {
+      if (detail::select_write(sock, timeout_sec, timeout_usec) > 0) {
+        continue;
+      }
+    }
+
+    // Error or timeout
+    if (err) {
+      err->code =
+          impl::map_wolfssl_error(wsession->ssl, ssl_error, err->sys_errno);
+      err->backend_code = static_cast<uint64_t>(ssl_error);
+    }
+    impl::wolfssl_last_error() = static_cast<uint64_t>(ssl_error);
+    return false;
+  }
+
+  if (err) { err->code = ErrorCode::Success; }
+
+  // Capture SNI from thread-local storage after successful handshake
+  wsession->sni_hostname = std::move(impl::wolfssl_pending_sni());
+  impl::wolfssl_pending_sni().clear();
+
+  return true;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            ContentProviderWithoutLength content_provider,
-                            const std::string &content_type,
-                            ContentReceiver content_receiver,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, std::move(content_provider), content_type,
-                     std::move(content_receiver), progress);
+
+ssize_t read(session_t session, void *buf, size_t len, TlsError &err) {
+  if (!session || !buf) {
+    err.code = ErrorCode::Fatal;
+    return -1;
+  }
+
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+  int ret = wolfSSL_read(wsession->ssl, buf, static_cast<int>(len));
+
+  if (ret > 0) {
+    err.code = ErrorCode::Success;
+    return static_cast<ssize_t>(ret);
+  }
+
+  if (ret == 0) {
+    err.code = ErrorCode::PeerClosed;
+    return 0;
+  }
+
+  int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+  err.code = impl::map_wolfssl_error(wsession->ssl, ssl_error, err.sys_errno);
+  err.backend_code = static_cast<uint64_t>(ssl_error);
+  impl::wolfssl_last_error() = err.backend_code;
+  return -1;
 }
-Result Client::Patch(const std::string &path, const Params &params) {
-  return cli_->Patch(path, params);
+
+ssize_t write(session_t session, const void *buf, size_t len,
+                     TlsError &err) {
+  if (!session || !buf) {
+    err.code = ErrorCode::Fatal;
+    return -1;
+  }
+
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+  int ret = wolfSSL_write(wsession->ssl, buf, static_cast<int>(len));
+
+  if (ret > 0) {
+    err.code = ErrorCode::Success;
+    return static_cast<ssize_t>(ret);
+  }
+
+  // wolfSSL_write returns 0 when the peer has sent a close_notify.
+  // Treat this as an error (return -1) so callers don't spin in a
+  // write loop adding zero to the offset.
+  if (ret == 0) {
+    err.code = ErrorCode::PeerClosed;
+    return -1;
+  }
+
+  int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+  err.code = impl::map_wolfssl_error(wsession->ssl, ssl_error, err.sys_errno);
+  err.backend_code = static_cast<uint64_t>(ssl_error);
+  impl::wolfssl_last_error() = err.backend_code;
+  return -1;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const Params &params) {
-  return cli_->Patch(path, headers, params);
+
+int pending(const_session_t session) {
+  if (!session) { return 0; }
+  auto wsession =
+      static_cast<impl::WolfSSLSession *>(const_cast<void *>(session));
+  return wolfSSL_pending(wsession->ssl);
 }
-Result Client::Patch(const std::string &path,
-                            const UploadFormDataItems &items,
-                            UploadProgress progress) {
-  return cli_->Patch(path, items, progress);
+
+void shutdown(session_t session, bool graceful) {
+  if (!session) { return; }
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+
+  if (graceful) {
+    int ret;
+    int attempts = 0;
+    while ((ret = wolfSSL_shutdown(wsession->ssl)) != SSL_SUCCESS &&
+           attempts < 3) {
+      int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+      if (ssl_error != SSL_ERROR_WANT_READ &&
+          ssl_error != SSL_ERROR_WANT_WRITE) {
+        break;
+      }
+      attempts++;
+    }
+  } else {
+    wolfSSL_shutdown(wsession->ssl);
+  }
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const UploadFormDataItems &items,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, items, progress);
+
+bool is_peer_closed(session_t session, socket_t sock) {
+  if (!session || sock == INVALID_SOCKET) { return true; }
+  auto wsession = static_cast<impl::WolfSSLSession *>(session);
+
+  // Check if there's already decrypted data available
+  if (wolfSSL_pending(wsession->ssl) > 0) { return false; }
+
+  // Set socket to non-blocking to avoid blocking on read
+  detail::set_nonblocking(sock, true);
+  auto cleanup =
+      detail::scope_exit([&]() { detail::set_nonblocking(sock, false); });
+
+  // Peek 1 byte to check connection status without consuming data
+  unsigned char buf;
+  int ret = wolfSSL_peek(wsession->ssl, &buf, 1);
+
+  // If we got data or WANT_READ (would block), connection is alive
+  if (ret > 0) { return false; }
+
+  int ssl_error = wolfSSL_get_error(wsession->ssl, ret);
+  if (ssl_error == SSL_ERROR_WANT_READ) { return false; }
+
+  return ssl_error == SSL_ERROR_ZERO_RETURN || ssl_error == SSL_ERROR_SYSCALL ||
+         ret == 0;
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const UploadFormDataItems &items,
-                            const std::string &boundary,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, items, boundary, progress);
+
+cert_t get_peer_cert(const_session_t session) {
+  if (!session) { return nullptr; }
+  auto wsession =
+      static_cast<impl::WolfSSLSession *>(const_cast<void *>(session));
+
+  WOLFSSL_X509 *cert = wolfSSL_get_peer_certificate(wsession->ssl);
+  return static_cast<cert_t>(cert);
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const UploadFormDataItems &items,
-                            const FormDataProviderItems &provider_items,
-                            UploadProgress progress) {
-  return cli_->Patch(path, headers, items, provider_items, progress);
+
+void free_cert(cert_t cert) {
+  if (cert) { wolfSSL_X509_free(static_cast<WOLFSSL_X509 *>(cert)); }
 }
-Result Client::Patch(const std::string &path, const Headers &headers,
-                            const std::string &body,
-                            const std::string &content_type,
-                            ContentReceiver content_receiver,
-                            DownloadProgress progress) {
-  return cli_->Patch(path, headers, body, content_type, content_receiver,
-                     progress);
+
+bool verify_hostname(cert_t cert, const char *hostname) {
+  if (!cert || !hostname) { return false; }
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+  std::string host_str(hostname);
+
+  // Check if hostname is an IP address
+  bool is_ip = impl::is_ipv4_address(host_str);
+  unsigned char ip_bytes[4];
+  if (is_ip) { impl::parse_ipv4(host_str, ip_bytes); }
+
+  // Check Subject Alternative Names
+  auto *san_names = static_cast<WOLF_STACK_OF(WOLFSSL_GENERAL_NAME) *>(
+      wolfSSL_X509_get_ext_d2i(x509, NID_subject_alt_name, nullptr, nullptr));
+
+  if (san_names) {
+    int san_count = wolfSSL_sk_num(san_names);
+    for (int i = 0; i < san_count; i++) {
+      auto *names =
+          static_cast<WOLFSSL_GENERAL_NAME *>(wolfSSL_sk_value(san_names, i));
+      if (!names) continue;
+
+      if (!is_ip && names->type == WOLFSSL_GEN_DNS) {
+        // DNS name
+        unsigned char *dns_name = nullptr;
+        int dns_len = wolfSSL_ASN1_STRING_to_UTF8(&dns_name, names->d.dNSName);
+        if (dns_name && dns_len > 0) {
+          std::string san_name(reinterpret_cast<char *>(dns_name),
+                               static_cast<size_t>(dns_len));
+          XFREE(dns_name, nullptr, DYNAMIC_TYPE_OPENSSL);
+          if (detail::match_hostname(san_name, host_str)) {
+            wolfSSL_sk_free(san_names);
+            return true;
+          }
+        }
+      } else if (is_ip && names->type == WOLFSSL_GEN_IPADD) {
+        // IP address
+        unsigned char *ip_data = wolfSSL_ASN1_STRING_data(names->d.iPAddress);
+        int ip_len = wolfSSL_ASN1_STRING_length(names->d.iPAddress);
+        if (ip_data && ip_len == 4 && memcmp(ip_data, ip_bytes, 4) == 0) {
+          wolfSSL_sk_free(san_names);
+          return true;
+        }
+      }
+    }
+    wolfSSL_sk_free(san_names);
+  }
+
+  // Fallback: Check Common Name (CN) in subject
+  WOLFSSL_X509_NAME *subject = wolfSSL_X509_get_subject_name(x509);
+  if (subject) {
+    char cn[256] = {};
+    int cn_len = wolfSSL_X509_NAME_get_text_by_NID(subject, NID_commonName, cn,
+                                                   sizeof(cn));
+    if (cn_len > 0) {
+      std::string cn_str(cn, static_cast<size_t>(cn_len));
+      if (detail::match_hostname(cn_str, host_str)) { return true; }
+    }
+  }
+
+  return false;
 }
 
-Result Client::Delete(const std::string &path,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, progress);
+uint64_t hostname_mismatch_code() {
+  return static_cast<uint64_t>(DOMAIN_NAME_MISMATCH);
 }
-Result Client::Delete(const std::string &path, const Headers &headers,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, headers, progress);
+
+long get_verify_result(const_session_t session) {
+  if (!session) { return -1; }
+  auto wsession =
+      static_cast<impl::WolfSSLSession *>(const_cast<void *>(session));
+  long result = wolfSSL_get_verify_result(wsession->ssl);
+  return result;
 }
-Result Client::Delete(const std::string &path, const char *body,
-                             size_t content_length,
-                             const std::string &content_type,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, body, content_length, content_type, progress);
+
+std::string get_cert_subject_cn(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+
+  WOLFSSL_X509_NAME *subject = wolfSSL_X509_get_subject_name(x509);
+  if (!subject) return "";
+
+  char cn[256] = {};
+  int cn_len = wolfSSL_X509_NAME_get_text_by_NID(subject, NID_commonName, cn,
+                                                 sizeof(cn));
+  if (cn_len <= 0) return "";
+  return std::string(cn, static_cast<size_t>(cn_len));
 }
-Result Client::Delete(const std::string &path, const Headers &headers,
-                             const char *body, size_t content_length,
-                             const std::string &content_type,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, headers, body, content_length, content_type,
-                      progress);
+
+std::string get_cert_issuer_name(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+
+  WOLFSSL_X509_NAME *issuer = wolfSSL_X509_get_issuer_name(x509);
+  if (!issuer) return "";
+
+  char *name_str = wolfSSL_X509_NAME_oneline(issuer, nullptr, 0);
+  if (!name_str) return "";
+
+  std::string result(name_str);
+  XFREE(name_str, nullptr, DYNAMIC_TYPE_OPENSSL);
+  return result;
 }
-Result Client::Delete(const std::string &path, const std::string &body,
-                             const std::string &content_type,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, body, content_type, progress);
+
+bool get_cert_sans(cert_t cert, std::vector<SanEntry> &sans) {
+  sans.clear();
+  if (!cert) return false;
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+
+  auto *san_names = static_cast<WOLF_STACK_OF(WOLFSSL_GENERAL_NAME) *>(
+      wolfSSL_X509_get_ext_d2i(x509, NID_subject_alt_name, nullptr, nullptr));
+  if (!san_names) return true; // No SANs is not an error
+
+  int count = wolfSSL_sk_num(san_names);
+  for (int i = 0; i < count; i++) {
+    auto *name =
+        static_cast<WOLFSSL_GENERAL_NAME *>(wolfSSL_sk_value(san_names, i));
+    if (!name) continue;
+
+    SanEntry entry;
+    switch (name->type) {
+    case WOLFSSL_GEN_DNS: {
+      entry.type = SanType::DNS;
+      unsigned char *dns_name = nullptr;
+      int dns_len = wolfSSL_ASN1_STRING_to_UTF8(&dns_name, name->d.dNSName);
+      if (dns_name && dns_len > 0) {
+        entry.value = std::string(reinterpret_cast<char *>(dns_name),
+                                  static_cast<size_t>(dns_len));
+        XFREE(dns_name, nullptr, DYNAMIC_TYPE_OPENSSL);
+      }
+      break;
+    }
+    case WOLFSSL_GEN_IPADD: {
+      entry.type = SanType::IP;
+      unsigned char *ip_data = wolfSSL_ASN1_STRING_data(name->d.iPAddress);
+      int ip_len = wolfSSL_ASN1_STRING_length(name->d.iPAddress);
+      if (ip_data && ip_len == 4) {
+        char buf[16];
+        snprintf(buf, sizeof(buf), "%d.%d.%d.%d", ip_data[0], ip_data[1],
+                 ip_data[2], ip_data[3]);
+        entry.value = buf;
+      } else if (ip_data && ip_len == 16) {
+        char buf[64];
+        snprintf(buf, sizeof(buf),
+                 "%02x%02x:%02x%02x:%02x%02x:%02x%02x:"
+                 "%02x%02x:%02x%02x:%02x%02x:%02x%02x",
+                 ip_data[0], ip_data[1], ip_data[2], ip_data[3], ip_data[4],
+                 ip_data[5], ip_data[6], ip_data[7], ip_data[8], ip_data[9],
+                 ip_data[10], ip_data[11], ip_data[12], ip_data[13],
+                 ip_data[14], ip_data[15]);
+        entry.value = buf;
+      }
+      break;
+    }
+    case WOLFSSL_GEN_EMAIL:
+      entry.type = SanType::EMAIL;
+      {
+        unsigned char *email = nullptr;
+        int email_len = wolfSSL_ASN1_STRING_to_UTF8(&email, name->d.rfc822Name);
+        if (email && email_len > 0) {
+          entry.value = std::string(reinterpret_cast<char *>(email),
+                                    static_cast<size_t>(email_len));
+          XFREE(email, nullptr, DYNAMIC_TYPE_OPENSSL);
+        }
+      }
+      break;
+    case WOLFSSL_GEN_URI:
+      entry.type = SanType::URI;
+      {
+        unsigned char *uri = nullptr;
+        int uri_len = wolfSSL_ASN1_STRING_to_UTF8(
+            &uri, name->d.uniformResourceIdentifier);
+        if (uri && uri_len > 0) {
+          entry.value = std::string(reinterpret_cast<char *>(uri),
+                                    static_cast<size_t>(uri_len));
+          XFREE(uri, nullptr, DYNAMIC_TYPE_OPENSSL);
+        }
+      }
+      break;
+    default: entry.type = SanType::OTHER; break;
+    }
+
+    if (!entry.value.empty()) { sans.push_back(std::move(entry)); }
+  }
+  wolfSSL_sk_free(san_names);
+  return true;
 }
-Result Client::Delete(const std::string &path, const Headers &headers,
-                             const std::string &body,
-                             const std::string &content_type,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, headers, body, content_type, progress);
+
+bool get_cert_validity(cert_t cert, time_t &not_before,
+                              time_t &not_after) {
+  if (!cert) return false;
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+
+  const WOLFSSL_ASN1_TIME *nb = wolfSSL_X509_get_notBefore(x509);
+  const WOLFSSL_ASN1_TIME *na = wolfSSL_X509_get_notAfter(x509);
+
+  if (!nb || !na) return false;
+
+  // wolfSSL_ASN1_TIME_to_tm is available
+  struct tm tm_nb = {}, tm_na = {};
+  if (wolfSSL_ASN1_TIME_to_tm(nb, &tm_nb) != WOLFSSL_SUCCESS) return false;
+  if (wolfSSL_ASN1_TIME_to_tm(na, &tm_na) != WOLFSSL_SUCCESS) return false;
+
+#ifdef _WIN32
+  not_before = _mkgmtime(&tm_nb);
+  not_after = _mkgmtime(&tm_na);
+#else
+  not_before = timegm(&tm_nb);
+  not_after = timegm(&tm_na);
+#endif
+  return true;
 }
-Result Client::Delete(const std::string &path, const Params &params,
-                             DownloadProgress progress) {
-  return cli_->Delete(path, params, progress);
+
+std::string get_cert_serial(cert_t cert) {
+  if (!cert) return "";
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+
+  WOLFSSL_ASN1_INTEGER *serial_asn1 = wolfSSL_X509_get_serialNumber(x509);
+  if (!serial_asn1) return "";
+
+  // Get the serial number data
+  int len = serial_asn1->length;
+  unsigned char *data = serial_asn1->data;
+  if (!data || len <= 0) return "";
+
+  std::string result;
+  result.reserve(static_cast<size_t>(len) * 2);
+  for (int i = 0; i < len; i++) {
+    char hex[3];
+    snprintf(hex, sizeof(hex), "%02X", data[i]);
+    result += hex;
+  }
+  return result;
 }
-Result Client::Delete(const std::string &path, const Headers &headers,
-                             const Params &params, DownloadProgress progress) {
-  return cli_->Delete(path, headers, params, progress);
+
+bool get_cert_der(cert_t cert, std::vector<unsigned char> &der) {
+  if (!cert) return false;
+  auto x509 = static_cast<WOLFSSL_X509 *>(cert);
+
+  int der_len = 0;
+  const unsigned char *der_data = wolfSSL_X509_get_der(x509, &der_len);
+  if (!der_data || der_len <= 0) return false;
+
+  der.assign(der_data, der_data + der_len);
+  return true;
 }
 
-Result Client::Options(const std::string &path) {
-  return cli_->Options(path);
+const char *get_sni(const_session_t session) {
+  if (!session) return nullptr;
+  auto wsession = static_cast<const impl::WolfSSLSession *>(session);
+
+  // For server: return SNI received from client during handshake
+  if (!wsession->sni_hostname.empty()) {
+    return wsession->sni_hostname.c_str();
+  }
+
+  // For client: return the hostname set via set_sni
+  if (!wsession->hostname.empty()) { return wsession->hostname.c_str(); }
+
+  return nullptr;
 }
-Result Client::Options(const std::string &path, const Headers &headers) {
-  return cli_->Options(path, headers);
+
+uint64_t peek_error() {
+  return static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
 }
 
-ClientImpl::StreamHandle
-Client::open_stream(const std::string &method, const std::string &path,
-                    const Params &params, const Headers &headers,
-                    const std::string &body, const std::string &content_type) {
-  return cli_->open_stream(method, path, params, headers, body, content_type);
+uint64_t get_error() {
+  uint64_t err = impl::wolfssl_last_error();
+  impl::wolfssl_last_error() = 0;
+  return err;
 }
 
-bool Client::send(Request &req, Response &res, Error &error) {
-  return cli_->send(req, res, error);
+std::string error_string(uint64_t code) {
+  char buf[256];
+  wolfSSL_ERR_error_string(static_cast<unsigned long>(code), buf);
+  return std::string(buf);
 }
 
-Result Client::send(const Request &req) { return cli_->send(req); }
+ca_store_t create_ca_store(const char *pem, size_t len) {
+  if (!pem || len == 0) { return nullptr; }
+  // Validate by attempting to load into a temporary ctx
+  WOLFSSL_CTX *tmp_ctx = wolfSSL_CTX_new(wolfTLSv1_2_client_method());
+  if (!tmp_ctx) { return nullptr; }
+  int ret = wolfSSL_CTX_load_verify_buffer(
+      tmp_ctx, reinterpret_cast<const unsigned char *>(pem),
+      static_cast<long>(len), SSL_FILETYPE_PEM);
+  wolfSSL_CTX_free(tmp_ctx);
+  if (ret != SSL_SUCCESS) { return nullptr; }
+  return static_cast<ca_store_t>(
+      new impl::WolfSSLCAStore{std::string(pem, len)});
+}
+
+void free_ca_store(ca_store_t store) {
+  delete static_cast<impl::WolfSSLCAStore *>(store);
+}
+
+bool set_ca_store(ctx_t ctx, ca_store_t store) {
+  if (!ctx || !store) { return false; }
+  auto *wctx = static_cast<impl::WolfSSLContext *>(ctx);
+  auto *ca = static_cast<impl::WolfSSLCAStore *>(store);
+  int ret = wolfSSL_CTX_load_verify_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(ca->pem_data.data()),
+      static_cast<long>(ca->pem_data.size()), SSL_FILETYPE_PEM);
+  if (ret == SSL_SUCCESS) { wctx->ca_pem_data_ += ca->pem_data; }
+  return ret == SSL_SUCCESS;
+}
+
+size_t get_ca_certs(ctx_t ctx, std::vector<cert_t> &certs) {
+  certs.clear();
+  if (!ctx) { return 0; }
+  auto *wctx = static_cast<impl::WolfSSLContext *>(ctx);
+  if (wctx->ca_pem_data_.empty()) { return 0; }
+
+  const std::string &pem = wctx->ca_pem_data_;
+  const std::string begin_marker = "-----BEGIN CERTIFICATE-----";
+  const std::string end_marker = "-----END CERTIFICATE-----";
+  size_t pos = 0;
+  while ((pos = pem.find(begin_marker, pos)) != std::string::npos) {
+    size_t end_pos = pem.find(end_marker, pos);
+    if (end_pos == std::string::npos) { break; }
+    end_pos += end_marker.size();
+    std::string cert_pem = pem.substr(pos, end_pos - pos);
+    WOLFSSL_X509 *x509 = wolfSSL_X509_load_certificate_buffer(
+        reinterpret_cast<const unsigned char *>(cert_pem.data()),
+        static_cast<int>(cert_pem.size()), WOLFSSL_FILETYPE_PEM);
+    if (x509) { certs.push_back(static_cast<cert_t>(x509)); }
+    pos = end_pos;
+  }
+  return certs.size();
+}
+
+std::vector<std::string> get_ca_names(ctx_t ctx) {
+  std::vector<std::string> names;
+  if (!ctx) { return names; }
+  auto *wctx = static_cast<impl::WolfSSLContext *>(ctx);
+  if (wctx->ca_pem_data_.empty()) { return names; }
+
+  const std::string &pem = wctx->ca_pem_data_;
+  const std::string begin_marker = "-----BEGIN CERTIFICATE-----";
+  const std::string end_marker = "-----END CERTIFICATE-----";
+  size_t pos = 0;
+  while ((pos = pem.find(begin_marker, pos)) != std::string::npos) {
+    size_t end_pos = pem.find(end_marker, pos);
+    if (end_pos == std::string::npos) { break; }
+    end_pos += end_marker.size();
+    std::string cert_pem = pem.substr(pos, end_pos - pos);
+    WOLFSSL_X509 *x509 = wolfSSL_X509_load_certificate_buffer(
+        reinterpret_cast<const unsigned char *>(cert_pem.data()),
+        static_cast<int>(cert_pem.size()), WOLFSSL_FILETYPE_PEM);
+    if (x509) {
+      WOLFSSL_X509_NAME *subject = wolfSSL_X509_get_subject_name(x509);
+      if (subject) {
+        char *name_str = wolfSSL_X509_NAME_oneline(subject, nullptr, 0);
+        if (name_str) {
+          names.push_back(name_str);
+          XFREE(name_str, nullptr, DYNAMIC_TYPE_OPENSSL);
+        }
+      }
+      wolfSSL_X509_free(x509);
+    }
+    pos = end_pos;
+  }
+  return names;
+}
 
-void Client::stop() { cli_->stop(); }
+bool update_server_cert(ctx_t ctx, const char *cert_pem,
+                               const char *key_pem, const char *password) {
+  if (!ctx || !cert_pem || !key_pem) { return false; }
+  auto *wctx = static_cast<impl::WolfSSLContext *>(ctx);
 
-std::string Client::host() const { return cli_->host(); }
+  // Load new certificate
+  int ret = wolfSSL_CTX_use_certificate_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(cert_pem),
+      static_cast<long>(strlen(cert_pem)), SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
 
-int Client::port() const { return cli_->port(); }
+  // Set password if provided
+  if (password) { impl::set_wolfssl_password_cb(wctx->ctx, password); }
 
-size_t Client::is_socket_open() const { return cli_->is_socket_open(); }
+  // Load new private key
+  ret = wolfSSL_CTX_use_PrivateKey_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(key_pem),
+      static_cast<long>(strlen(key_pem)), SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
 
-socket_t Client::socket() const { return cli_->socket(); }
+  return true;
+}
 
-void
-Client::set_hostname_addr_map(std::map<std::string, std::string> addr_map) {
-  cli_->set_hostname_addr_map(std::move(addr_map));
+bool update_server_client_ca(ctx_t ctx, const char *ca_pem) {
+  if (!ctx || !ca_pem) { return false; }
+  auto *wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  int ret = wolfSSL_CTX_load_verify_buffer(
+      wctx->ctx, reinterpret_cast<const unsigned char *>(ca_pem),
+      static_cast<long>(strlen(ca_pem)), SSL_FILETYPE_PEM);
+  if (ret != SSL_SUCCESS) {
+    impl::wolfssl_last_error() =
+        static_cast<uint64_t>(wolfSSL_ERR_peek_last_error());
+    return false;
+  }
+  return true;
 }
 
-void Client::set_default_headers(Headers headers) {
-  cli_->set_default_headers(std::move(headers));
+bool set_verify_callback(ctx_t ctx, VerifyCallback callback) {
+  if (!ctx) { return false; }
+  auto *wctx = static_cast<impl::WolfSSLContext *>(ctx);
+
+  impl::get_verify_callback() = std::move(callback);
+  wctx->has_verify_callback = static_cast<bool>(impl::get_verify_callback());
+
+  if (wctx->has_verify_callback) {
+    wolfSSL_CTX_set_verify(wctx->ctx, SSL_VERIFY_PEER,
+                           impl::wolfssl_verify_callback);
+  } else {
+    wolfSSL_CTX_set_verify(
+        wctx->ctx,
+        wctx->verify_client
+            ? (SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT)
+            : SSL_VERIFY_NONE,
+        nullptr);
+  }
+  return true;
 }
 
-void Client::set_header_writer(
-    std::function<ssize_t(Stream &, Headers &)> const &writer) {
-  cli_->set_header_writer(writer);
+long get_verify_error(const_session_t session) {
+  if (!session) { return -1; }
+  auto *wsession =
+      static_cast<impl::WolfSSLSession *>(const_cast<void *>(session));
+  return wolfSSL_get_verify_result(wsession->ssl);
 }
 
-void Client::set_address_family(int family) {
-  cli_->set_address_family(family);
+std::string verify_error_string(long error_code) {
+  if (error_code == 0) { return ""; }
+  const char *str =
+      wolfSSL_X509_verify_cert_error_string(static_cast<int>(error_code));
+  return str ? std::string(str) : std::string();
 }
 
-void Client::set_tcp_nodelay(bool on) { cli_->set_tcp_nodelay(on); }
+} // namespace tls
 
-void Client::set_socket_options(SocketOptions socket_options) {
-  cli_->set_socket_options(std::move(socket_options));
+#endif // CPPHTTPLIB_WOLFSSL_SUPPORT
+
+// WebSocket implementation
+namespace ws {
+
+bool WebSocket::send_frame(Opcode op, const char *data, size_t len,
+                                  bool fin) {
+  std::lock_guard<std::mutex> lock(write_mutex_);
+  if (closed_) { return false; }
+  return detail::write_websocket_frame(strm_, op, data, len, fin, !is_server_);
 }
 
-void Client::set_connection_timeout(time_t sec, time_t usec) {
-  cli_->set_connection_timeout(sec, usec);
+ReadResult WebSocket::read(std::string &msg) {
+  while (!closed_) {
+    Opcode opcode;
+    std::string payload;
+    bool fin;
+
+    if (!impl::read_websocket_frame(strm_, opcode, payload, fin, is_server_,
+                                    CPPHTTPLIB_WEBSOCKET_MAX_PAYLOAD_LENGTH)) {
+      closed_ = true;
+      return Fail;
+    }
+
+    switch (opcode) {
+    case Opcode::Ping: {
+      std::lock_guard<std::mutex> lock(write_mutex_);
+      detail::write_websocket_frame(strm_, Opcode::Pong, payload.data(),
+                                    payload.size(), true, !is_server_);
+      continue;
+    }
+    case Opcode::Pong: continue;
+    case Opcode::Close: {
+      if (!closed_.exchange(true)) {
+        // Echo close frame back
+        std::lock_guard<std::mutex> lock(write_mutex_);
+        detail::write_websocket_frame(strm_, Opcode::Close, payload.data(),
+                                      payload.size(), true, !is_server_);
+      }
+      return Fail;
+    }
+    case Opcode::Text:
+    case Opcode::Binary: {
+      auto result = opcode == Opcode::Text ? Text : Binary;
+      msg = std::move(payload);
+
+      // Handle fragmentation
+      if (!fin) {
+        while (true) {
+          Opcode cont_opcode;
+          std::string cont_payload;
+          bool cont_fin;
+          if (!impl::read_websocket_frame(
+                  strm_, cont_opcode, cont_payload, cont_fin, is_server_,
+                  CPPHTTPLIB_WEBSOCKET_MAX_PAYLOAD_LENGTH)) {
+            closed_ = true;
+            return Fail;
+          }
+          if (cont_opcode == Opcode::Ping) {
+            std::lock_guard<std::mutex> lock(write_mutex_);
+            detail::write_websocket_frame(
+                strm_, Opcode::Pong, cont_payload.data(), cont_payload.size(),
+                true, !is_server_);
+            continue;
+          }
+          if (cont_opcode == Opcode::Pong) { continue; }
+          if (cont_opcode == Opcode::Close) {
+            if (!closed_.exchange(true)) {
+              std::lock_guard<std::mutex> lock(write_mutex_);
+              detail::write_websocket_frame(
+                  strm_, Opcode::Close, cont_payload.data(),
+                  cont_payload.size(), true, !is_server_);
+            }
+            return Fail;
+          }
+          // RFC 6455: continuation frames must use opcode 0x0
+          if (cont_opcode != Opcode::Continuation) {
+            closed_ = true;
+            return Fail;
+          }
+          msg += cont_payload;
+          if (msg.size() > CPPHTTPLIB_WEBSOCKET_MAX_PAYLOAD_LENGTH) {
+            closed_ = true;
+            return Fail;
+          }
+          if (cont_fin) { break; }
+        }
+      }
+      // RFC 6455 Section 5.6: text frames must contain valid UTF-8
+      if (result == Text && !impl::is_valid_utf8(msg)) {
+        close(CloseStatus::InvalidPayload, "invalid UTF-8");
+        return Fail;
+      }
+      return result;
+    }
+    default: closed_ = true; return Fail;
+    }
+  }
+  return Fail;
 }
 
-void Client::set_read_timeout(time_t sec, time_t usec) {
-  cli_->set_read_timeout(sec, usec);
+bool WebSocket::send(const std::string &data) {
+  return send_frame(Opcode::Text, data.data(), data.size());
 }
 
-void Client::set_write_timeout(time_t sec, time_t usec) {
-  cli_->set_write_timeout(sec, usec);
+bool WebSocket::send(const char *data, size_t len) {
+  return send_frame(Opcode::Binary, data, len);
 }
 
-void Client::set_basic_auth(const std::string &username,
-                                   const std::string &password) {
-  cli_->set_basic_auth(username, password);
+void WebSocket::close(CloseStatus status, const std::string &reason) {
+  if (closed_.exchange(true)) { return; }
+  ping_cv_.notify_all();
+  std::string payload;
+  auto code = static_cast<uint16_t>(status);
+  payload.push_back(static_cast<char>((code >> 8) & 0xFF));
+  payload.push_back(static_cast<char>(code & 0xFF));
+  // RFC 6455 Section 5.5: control frame payload must not exceed 125 bytes
+  // Close frame has 2-byte status code, so reason is limited to 123 bytes
+  payload += reason.substr(0, 123);
+  {
+    std::lock_guard<std::mutex> lock(write_mutex_);
+    detail::write_websocket_frame(strm_, Opcode::Close, payload.data(),
+                                  payload.size(), true, !is_server_);
+  }
+
+  // RFC 6455 Section 7.1.1: after sending a Close frame, wait for the peer's
+  // Close response before closing the TCP connection. Use a short timeout to
+  // avoid hanging if the peer doesn't respond.
+  strm_.set_read_timeout(CPPHTTPLIB_WEBSOCKET_CLOSE_TIMEOUT_SECOND, 0);
+  Opcode op;
+  std::string resp;
+  bool fin;
+  while (impl::read_websocket_frame(strm_, op, resp, fin, is_server_, 125)) {
+    if (op == Opcode::Close) { break; }
+  }
 }
-void Client::set_bearer_token_auth(const std::string &token) {
-  cli_->set_bearer_token_auth(token);
+
+WebSocket::~WebSocket() {
+  {
+    std::lock_guard<std::mutex> lock(ping_mutex_);
+    closed_ = true;
+  }
+  ping_cv_.notify_all();
+  if (ping_thread_.joinable()) { ping_thread_.join(); }
 }
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-void Client::set_digest_auth(const std::string &username,
-                                    const std::string &password) {
-  cli_->set_digest_auth(username, password);
+
+void WebSocket::start_heartbeat() {
+  ping_thread_ = std::thread([this]() {
+    std::unique_lock<std::mutex> lock(ping_mutex_);
+    while (!closed_) {
+      ping_cv_.wait_for(lock, std::chrono::seconds(
+                                  CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND));
+      if (closed_) { break; }
+      lock.unlock();
+      if (!send_frame(Opcode::Ping, nullptr, 0)) {
+        closed_ = true;
+        break;
+      }
+      lock.lock();
+    }
+  });
 }
+
+const Request &WebSocket::request() const { return req_; }
+
+bool WebSocket::is_open() const { return !closed_; }
+
+// WebSocketClient implementation
+WebSocketClient::WebSocketClient(
+    const std::string &scheme_host_port_path, const Headers &headers)
+    : headers_(headers) {
+  const static std::regex re(
+      R"(([a-z]+):\/\/(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?(\/.*))");
+
+  std::smatch m;
+  if (std::regex_match(scheme_host_port_path, m, re)) {
+    auto scheme = m[1].str();
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+    if (scheme != "ws" && scheme != "wss") {
+#else
+    if (scheme != "ws") {
+#endif
+#ifndef CPPHTTPLIB_NO_EXCEPTIONS
+      std::string msg = "'" + scheme + "' scheme is not supported.";
+      throw std::invalid_argument(msg);
 #endif
+      return;
+    }
 
-void Client::set_keep_alive(bool on) { cli_->set_keep_alive(on); }
-void Client::set_follow_location(bool on) {
-  cli_->set_follow_location(on);
-}
+    auto is_ssl = scheme == "wss";
 
-void Client::set_path_encode(bool on) { cli_->set_path_encode(on); }
+    host_ = m[2].str();
+    if (host_.empty()) { host_ = m[3].str(); }
 
-[[deprecated("Use set_path_encode instead")]]
-void Client::set_url_encode(bool on) {
-  cli_->set_path_encode(on);
-}
+    auto port_str = m[4].str();
+    port_ = !port_str.empty() ? std::stoi(port_str) : (is_ssl ? 443 : 80);
 
-void Client::set_compress(bool on) { cli_->set_compress(on); }
+    path_ = m[5].str();
 
-void Client::set_decompress(bool on) { cli_->set_decompress(on); }
+#ifdef CPPHTTPLIB_SSL_ENABLED
+    is_ssl_ = is_ssl;
+#else
+    if (is_ssl) { return; }
+#endif
 
-void Client::set_interface(const std::string &intf) {
-  cli_->set_interface(intf);
+    is_valid_ = true;
+  }
 }
 
-void Client::set_proxy(const std::string &host, int port) {
-  cli_->set_proxy(host, port);
-}
-void Client::set_proxy_basic_auth(const std::string &username,
-                                         const std::string &password) {
-  cli_->set_proxy_basic_auth(username, password);
+WebSocketClient::~WebSocketClient() { shutdown_and_close(); }
+
+bool WebSocketClient::is_valid() const { return is_valid_; }
+
+void WebSocketClient::shutdown_and_close() {
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  if (is_ssl_) {
+    if (tls_session_) {
+      tls::shutdown(tls_session_, true);
+      tls::free_session(tls_session_);
+      tls_session_ = nullptr;
+    }
+    if (tls_ctx_) {
+      tls::free_context(tls_ctx_);
+      tls_ctx_ = nullptr;
+    }
+  }
+#endif
+  if (ws_ && ws_->is_open()) { ws_->close(); }
+  ws_.reset();
+  if (sock_ != INVALID_SOCKET) {
+    detail::shutdown_socket(sock_);
+    detail::close_socket(sock_);
+    sock_ = INVALID_SOCKET;
+  }
 }
-void Client::set_proxy_bearer_token_auth(const std::string &token) {
-  cli_->set_proxy_bearer_token_auth(token);
+
+bool WebSocketClient::create_stream(std::unique_ptr<Stream> &strm) {
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  if (is_ssl_) {
+    if (!detail::setup_client_tls_session(
+            host_, tls_ctx_, tls_session_, sock_,
+            server_certificate_verification_, ca_cert_file_path_,
+            ca_cert_store_, read_timeout_sec_, read_timeout_usec_)) {
+      return false;
+    }
+
+    strm = std::unique_ptr<Stream>(new detail::SSLSocketStream(
+        sock_, tls_session_, read_timeout_sec_, read_timeout_usec_,
+        write_timeout_sec_, write_timeout_usec_));
+    return true;
+  }
+#endif
+  strm = std::unique_ptr<Stream>(
+      new detail::SocketStream(sock_, read_timeout_sec_, read_timeout_usec_,
+                               write_timeout_sec_, write_timeout_usec_));
+  return true;
 }
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-void Client::set_proxy_digest_auth(const std::string &username,
-                                          const std::string &password) {
-  cli_->set_proxy_digest_auth(username, password);
+
+bool WebSocketClient::connect() {
+  if (!is_valid_) { return false; }
+  shutdown_and_close();
+
+  Error error;
+  sock_ = detail::create_client_socket(
+      host_, std::string(), port_, AF_UNSPEC, false, false, nullptr, 5, 0,
+      read_timeout_sec_, read_timeout_usec_, write_timeout_sec_,
+      write_timeout_usec_, std::string(), error);
+
+  if (sock_ == INVALID_SOCKET) { return false; }
+
+  std::unique_ptr<Stream> strm;
+  if (!create_stream(strm)) {
+    shutdown_and_close();
+    return false;
+  }
+
+  std::string selected_subprotocol;
+  if (!detail::perform_websocket_handshake(*strm, host_, port_, path_, headers_,
+                                           selected_subprotocol)) {
+    shutdown_and_close();
+    return false;
+  }
+  subprotocol_ = std::move(selected_subprotocol);
+
+  Request req;
+  req.method = "GET";
+  req.path = path_;
+  ws_ = std::unique_ptr<WebSocket>(new WebSocket(std::move(strm), req, false));
+  return true;
 }
-#endif
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-void Client::enable_server_certificate_verification(bool enabled) {
-  cli_->enable_server_certificate_verification(enabled);
+ReadResult WebSocketClient::read(std::string &msg) {
+  if (!ws_) { return Fail; }
+  return ws_->read(msg);
 }
 
-void Client::enable_server_hostname_verification(bool enabled) {
-  cli_->enable_server_hostname_verification(enabled);
+bool WebSocketClient::send(const std::string &data) {
+  if (!ws_) { return false; }
+  return ws_->send(data);
 }
 
-void Client::set_server_certificate_verifier(
-    std::function<SSLVerifierResponse(SSL *ssl)> verifier) {
-  cli_->set_server_certificate_verifier(verifier);
+bool WebSocketClient::send(const char *data, size_t len) {
+  if (!ws_) { return false; }
+  return ws_->send(data, len);
 }
-#endif
 
-void Client::set_logger(Logger logger) {
-  cli_->set_logger(std::move(logger));
+void WebSocketClient::close(CloseStatus status,
+                                   const std::string &reason) {
+  if (ws_) { ws_->close(status, reason); }
 }
 
-void Client::set_error_logger(ErrorLogger error_logger) {
-  cli_->set_error_logger(std::move(error_logger));
+bool WebSocketClient::is_open() const { return ws_ && ws_->is_open(); }
+
+const std::string &WebSocketClient::subprotocol() const {
+  return subprotocol_;
 }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-void Client::set_ca_cert_path(const std::string &ca_cert_file_path,
-                                     const std::string &ca_cert_dir_path) {
-  cli_->set_ca_cert_path(ca_cert_file_path, ca_cert_dir_path);
+void WebSocketClient::set_read_timeout(time_t sec, time_t usec) {
+  read_timeout_sec_ = sec;
+  read_timeout_usec_ = usec;
 }
 
-void Client::set_ca_cert_store(X509_STORE *ca_cert_store) {
-  if (is_ssl_) {
-    static_cast<SSLClient &>(*cli_).set_ca_cert_store(ca_cert_store);
-  } else {
-    cli_->set_ca_cert_store(ca_cert_store);
-  }
+void WebSocketClient::set_write_timeout(time_t sec, time_t usec) {
+  write_timeout_sec_ = sec;
+  write_timeout_usec_ = usec;
 }
 
-void Client::load_ca_cert_store(const char *ca_cert, std::size_t size) {
-  set_ca_cert_store(cli_->create_ca_cert_store(ca_cert, size));
+#ifdef CPPHTTPLIB_SSL_ENABLED
+
+void WebSocketClient::set_ca_cert_path(const std::string &path) {
+  ca_cert_file_path_ = path;
 }
 
-long Client::get_openssl_verify_result() const {
-  if (is_ssl_) {
-    return static_cast<SSLClient &>(*cli_).get_openssl_verify_result();
-  }
-  return -1; // NOTE: -1 doesn't match any of X509_V_ERR_???
+void WebSocketClient::set_ca_cert_store(tls::ca_store_t store) {
+  ca_cert_store_ = store;
 }
 
-SSL_CTX *Client::ssl_context() const {
-  if (is_ssl_) { return static_cast<SSLClient &>(*cli_).ssl_context(); }
-  return nullptr;
+void
+WebSocketClient::enable_server_certificate_verification(bool enabled) {
+  server_certificate_verification_ = enabled;
 }
-#endif
+
+#endif // CPPHTTPLIB_SSL_ENABLED
+
+} // namespace ws
 
 } // namespace httplib
diff --git a/vendor/cpp-httplib/httplib.h b/vendor/cpp-httplib/httplib.h
index 7c7790f41f7..e01b3550ba0 100644
--- a/vendor/cpp-httplib/httplib.h
+++ b/vendor/cpp-httplib/httplib.h
@@ -8,28 +8,8 @@
 #ifndef CPPHTTPLIB_HTTPLIB_H
 #define CPPHTTPLIB_HTTPLIB_H
 
-#define CPPHTTPLIB_VERSION "0.30.2"
-#define CPPHTTPLIB_VERSION_NUM "0x001E02"
-
-/*
- * Platform compatibility check
- */
-
-#if defined(_WIN32) && !defined(_WIN64)
-#if defined(_MSC_VER)
-#pragma message(                                                               \
-    "cpp-httplib doesn't support 32-bit Windows. Please use a 64-bit compiler.")
-#else
-#warning                                                                       \
-    "cpp-httplib doesn't support 32-bit Windows. Please use a 64-bit compiler."
-#endif
-#elif defined(__SIZEOF_POINTER__) && __SIZEOF_POINTER__ < 8
-#warning                                                                       \
-    "cpp-httplib doesn't support 32-bit platforms. Please use a 64-bit compiler."
-#elif defined(__SIZEOF_SIZE_T__) && __SIZEOF_SIZE_T__ < 8
-#warning                                                                       \
-    "cpp-httplib doesn't support platforms where size_t is less than 64 bits."
-#endif
+#define CPPHTTPLIB_VERSION "0.37.1"
+#define CPPHTTPLIB_VERSION_NUM "0x002501"
 
 #ifdef _WIN32
 #if defined(_WIN32_WINNT) && _WIN32_WINNT < 0x0A00
@@ -147,7 +127,7 @@
 #endif
 
 #ifndef CPPHTTPLIB_PAYLOAD_MAX_LENGTH
-#define CPPHTTPLIB_PAYLOAD_MAX_LENGTH ((std::numeric_limits<size_t>::max)())
+#define CPPHTTPLIB_PAYLOAD_MAX_LENGTH (100 * 1024 * 1024) // 100MB
 #endif
 
 #ifndef CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH
@@ -185,6 +165,14 @@
                       : 0))
 #endif
 
+#ifndef CPPHTTPLIB_THREAD_POOL_MAX_COUNT
+#define CPPHTTPLIB_THREAD_POOL_MAX_COUNT (CPPHTTPLIB_THREAD_POOL_COUNT * 4)
+#endif
+
+#ifndef CPPHTTPLIB_THREAD_POOL_IDLE_TIMEOUT
+#define CPPHTTPLIB_THREAD_POOL_IDLE_TIMEOUT 3 // seconds
+#endif
+
 #ifndef CPPHTTPLIB_RECV_FLAGS
 #define CPPHTTPLIB_RECV_FLAGS 0
 #endif
@@ -201,6 +189,22 @@
 #define CPPHTTPLIB_MAX_LINE_LENGTH 32768
 #endif
 
+#ifndef CPPHTTPLIB_WEBSOCKET_MAX_PAYLOAD_LENGTH
+#define CPPHTTPLIB_WEBSOCKET_MAX_PAYLOAD_LENGTH 16777216
+#endif
+
+#ifndef CPPHTTPLIB_WEBSOCKET_READ_TIMEOUT_SECOND
+#define CPPHTTPLIB_WEBSOCKET_READ_TIMEOUT_SECOND 300
+#endif
+
+#ifndef CPPHTTPLIB_WEBSOCKET_CLOSE_TIMEOUT_SECOND
+#define CPPHTTPLIB_WEBSOCKET_CLOSE_TIMEOUT_SECOND 5
+#endif
+
+#ifndef CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND
+#define CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND 30
+#endif
+
 /*
  * Headers
  */
@@ -310,6 +314,7 @@ using socket_t = int;
 #include <errno.h>
 #include <exception>
 #include <fcntl.h>
+#include <fstream>
 #include <functional>
 #include <iomanip>
 #include <iostream>
@@ -328,6 +333,28 @@ using socket_t = int;
 #include <unordered_map>
 #include <unordered_set>
 #include <utility>
+#if __cplusplus >= 201703L
+#include <any>
+#endif
+
+// On macOS with a TLS backend, enable Keychain root certificates by default
+// unless the user explicitly opts out.
+#if defined(__APPLE__) &&                                                      \
+    !defined(CPPHTTPLIB_DISABLE_MACOSX_AUTOMATIC_ROOT_CERTIFICATES) &&         \
+    (defined(CPPHTTPLIB_OPENSSL_SUPPORT) ||                                    \
+     defined(CPPHTTPLIB_MBEDTLS_SUPPORT) ||                                    \
+     defined(CPPHTTPLIB_WOLFSSL_SUPPORT))
+#ifndef CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+#define CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+#endif
+#endif
+
+// On Windows, enable Schannel certificate verification by default
+// unless the user explicitly opts out.
+#if defined(_WIN32) &&                                                         \
+    !defined(CPPHTTPLIB_DISABLE_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE)
+#define CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+#endif
 
 #if defined(CPPHTTPLIB_USE_NON_BLOCKING_GETADDRINFO) ||                        \
     defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
@@ -335,8 +362,7 @@ using socket_t = int;
 #include <CFNetwork/CFHost.h>
 #include <CoreFoundation/CoreFoundation.h>
 #endif
-#endif // CPPHTTPLIB_USE_NON_BLOCKING_GETADDRINFO or
-       // CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+#endif
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
 #ifdef _WIN32
@@ -354,11 +380,11 @@ using socket_t = int;
 #endif
 #endif // _WIN32
 
-#if defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
+#ifdef CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
 #if TARGET_OS_MAC
 #include <Security/Security.h>
 #endif
-#endif // CPPHTTPLIB_USE_NON_BLOCKING_GETADDRINFO
+#endif
 
 #include <openssl/err.h>
 #include <openssl/evp.h>
@@ -383,6 +409,81 @@ using socket_t = int;
 
 #endif // CPPHTTPLIB_OPENSSL_SUPPORT
 
+#ifdef CPPHTTPLIB_MBEDTLS_SUPPORT
+#include <mbedtls/ctr_drbg.h>
+#include <mbedtls/entropy.h>
+#include <mbedtls/error.h>
+#include <mbedtls/md5.h>
+#include <mbedtls/net_sockets.h>
+#include <mbedtls/oid.h>
+#include <mbedtls/pk.h>
+#include <mbedtls/sha1.h>
+#include <mbedtls/sha256.h>
+#include <mbedtls/sha512.h>
+#include <mbedtls/ssl.h>
+#include <mbedtls/x509_crt.h>
+#ifdef _WIN32
+#include <wincrypt.h>
+#ifdef _MSC_VER
+#pragma comment(lib, "crypt32.lib")
+#endif
+#endif // _WIN32
+#ifdef CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+#if TARGET_OS_MAC
+#include <Security/Security.h>
+#endif
+#endif
+
+// Mbed TLS 3.x API compatibility
+#if MBEDTLS_VERSION_MAJOR >= 3
+#define CPPHTTPLIB_MBEDTLS_V3
+#endif
+
+#endif // CPPHTTPLIB_MBEDTLS_SUPPORT
+
+#ifdef CPPHTTPLIB_WOLFSSL_SUPPORT
+#include <wolfssl/options.h>
+
+#include <wolfssl/openssl/x509v3.h>
+
+// Fallback definitions for older wolfSSL versions (e.g., 5.6.6)
+#ifndef WOLFSSL_GEN_EMAIL
+#define WOLFSSL_GEN_EMAIL 1
+#endif
+#ifndef WOLFSSL_GEN_DNS
+#define WOLFSSL_GEN_DNS 2
+#endif
+#ifndef WOLFSSL_GEN_URI
+#define WOLFSSL_GEN_URI 6
+#endif
+#ifndef WOLFSSL_GEN_IPADD
+#define WOLFSSL_GEN_IPADD 7
+#endif
+
+#include <wolfssl/ssl.h>
+#include <wolfssl/wolfcrypt/hash.h>
+#include <wolfssl/wolfcrypt/md5.h>
+#include <wolfssl/wolfcrypt/sha256.h>
+#include <wolfssl/wolfcrypt/sha512.h>
+#ifdef _WIN32
+#include <wincrypt.h>
+#ifdef _MSC_VER
+#pragma comment(lib, "crypt32.lib")
+#endif
+#endif // _WIN32
+#ifdef CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN
+#if TARGET_OS_MAC
+#include <Security/Security.h>
+#endif
+#endif
+#endif // CPPHTTPLIB_WOLFSSL_SUPPORT
+
+// Define CPPHTTPLIB_SSL_ENABLED if any SSL backend is available
+#if defined(CPPHTTPLIB_OPENSSL_SUPPORT) ||                                     \
+    defined(CPPHTTPLIB_MBEDTLS_SUPPORT) || defined(CPPHTTPLIB_WOLFSSL_SUPPORT)
+#define CPPHTTPLIB_SSL_ENABLED
+#endif
+
 #ifdef CPPHTTPLIB_ZLIB_SUPPORT
 #include <zlib.h>
 #endif
@@ -401,6 +502,10 @@ using socket_t = int;
  */
 namespace httplib {
 
+namespace ws {
+class WebSocket;
+} // namespace ws
+
 namespace detail {
 
 /*
@@ -450,6 +555,14 @@ inline unsigned char to_lower(int c) {
   return table[(unsigned char)(char)c];
 }
 
+inline std::string to_lower(const std::string &s) {
+  std::string result = s;
+  std::transform(
+      result.begin(), result.end(), result.begin(),
+      [](unsigned char c) { return static_cast<char>(to_lower(c)); });
+  return result;
+}
+
 inline bool equal(const std::string &a, const std::string &b) {
   return a.size() == b.size() &&
          std::equal(a.begin(), a.end(), b.begin(), [](char ca, char cb) {
@@ -672,6 +785,143 @@ using Match = std::smatch;
 using DownloadProgress = std::function<bool(size_t current, size_t total)>;
 using UploadProgress = std::function<bool(size_t current, size_t total)>;
 
+
+#if __cplusplus >= 201703L
+
+using any = std::any;
+using bad_any_cast = std::bad_any_cast;
+
+template <typename T> T any_cast(const any &a) { return std::any_cast<T>(a); }
+template <typename T> T any_cast(any &a) { return std::any_cast<T>(a); }
+template <typename T> T any_cast(any &&a) {
+  return std::any_cast<T>(std::move(a));
+}
+template <typename T> const T *any_cast(const any *a) noexcept {
+  return std::any_cast<T>(a);
+}
+template <typename T> T *any_cast(any *a) noexcept {
+  return std::any_cast<T>(a);
+}
+
+#else // C++11/14 implementation
+
+class bad_any_cast : public std::bad_cast {
+public:
+  const char *what() const noexcept override { return "bad any_cast"; }
+};
+
+namespace detail {
+
+using any_type_id = const void *;
+
+// Returns a unique per-type ID without RTTI.
+// The static address is stable across TUs because function templates are
+// implicitly inline and the ODR merges their statics into one.
+template <typename T> any_type_id any_typeid() noexcept {
+  static const char id = 0;
+  return &id;
+}
+
+struct any_storage {
+  virtual ~any_storage() = default;
+  virtual std::unique_ptr<any_storage> clone() const = 0;
+  virtual any_type_id type_id() const noexcept = 0;
+};
+
+template <typename T> struct any_value final : any_storage {
+  T value;
+  template <typename U> explicit any_value(U &&v) : value(std::forward<U>(v)) {}
+  std::unique_ptr<any_storage> clone() const override {
+    return std::unique_ptr<any_storage>(new any_value<T>(value));
+  }
+  any_type_id type_id() const noexcept override { return any_typeid<T>(); }
+};
+
+} // namespace detail
+
+class any {
+  std::unique_ptr<detail::any_storage> storage_;
+
+public:
+  any() noexcept = default;
+  any(const any &o) : storage_(o.storage_ ? o.storage_->clone() : nullptr) {}
+  any(any &&) noexcept = default;
+  any &operator=(const any &o) {
+    storage_ = o.storage_ ? o.storage_->clone() : nullptr;
+    return *this;
+  }
+  any &operator=(any &&) noexcept = default;
+
+  template <
+      typename T, typename D = typename std::decay<T>::type,
+      typename std::enable_if<!std::is_same<D, any>::value, int>::type = 0>
+  any(T &&v) : storage_(new detail::any_value<D>(std::forward<T>(v))) {}
+
+  template <
+      typename T, typename D = typename std::decay<T>::type,
+      typename std::enable_if<!std::is_same<D, any>::value, int>::type = 0>
+  any &operator=(T &&v) {
+    storage_.reset(new detail::any_value<D>(std::forward<T>(v)));
+    return *this;
+  }
+
+  bool has_value() const noexcept { return storage_ != nullptr; }
+  void reset() noexcept { storage_.reset(); }
+
+  template <typename T> friend T *any_cast(any *a) noexcept;
+  template <typename T> friend const T *any_cast(const any *a) noexcept;
+};
+
+template <typename T> T *any_cast(any *a) noexcept {
+  if (!a || !a->storage_) { return nullptr; }
+  if (a->storage_->type_id() != detail::any_typeid<T>()) { return nullptr; }
+  return &static_cast<detail::any_value<T> *>(a->storage_.get())->value;
+}
+
+template <typename T> const T *any_cast(const any *a) noexcept {
+  if (!a || !a->storage_) { return nullptr; }
+  if (a->storage_->type_id() != detail::any_typeid<T>()) { return nullptr; }
+  return &static_cast<const detail::any_value<T> *>(a->storage_.get())->value;
+}
+
+template <typename T> T any_cast(const any &a) {
+  using U =
+      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
+  const U *p = any_cast<U>(&a);
+#ifndef CPPHTTPLIB_NO_EXCEPTIONS
+  if (!p) { throw bad_any_cast{}; }
+#else
+  if (!p) { std::abort(); }
+#endif
+  return static_cast<T>(*p);
+}
+
+template <typename T> T any_cast(any &a) {
+  using U =
+      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
+  U *p = any_cast<U>(&a);
+#ifndef CPPHTTPLIB_NO_EXCEPTIONS
+  if (!p) { throw bad_any_cast{}; }
+#else
+  if (!p) { std::abort(); }
+#endif
+  return static_cast<T>(*p);
+}
+
+template <typename T> T any_cast(any &&a) {
+  using U =
+      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
+  U *p = any_cast<U>(&a);
+#ifndef CPPHTTPLIB_NO_EXCEPTIONS
+  if (!p) { throw bad_any_cast{}; }
+#else
+  if (!p) { std::abort(); }
+#endif
+  return static_cast<T>(std::move(*p));
+}
+
+#endif // __cplusplus >= 201703L
+
 struct Response;
 using ResponseHandler = std::function<bool(const Response &response)>;
 
@@ -766,6 +1016,60 @@ struct FormDataProvider {
 };
 using FormDataProviderItems = std::vector<FormDataProvider>;
 
+inline FormDataProvider
+make_file_provider(const std::string &name, const std::string &filepath,
+                   const std::string &filename = std::string(),
+                   const std::string &content_type = std::string()) {
+  FormDataProvider fdp;
+  fdp.name = name;
+  fdp.filename = filename.empty() ? filepath : filename;
+  fdp.content_type = content_type;
+  fdp.provider = [filepath](size_t offset, DataSink &sink) -> bool {
+    std::ifstream f(filepath, std::ios::binary);
+    if (!f) { return false; }
+    if (offset > 0) {
+      f.seekg(static_cast<std::streamoff>(offset));
+      if (!f.good()) {
+        sink.done();
+        return true;
+      }
+    }
+    char buf[8192];
+    f.read(buf, sizeof(buf));
+    auto n = static_cast<size_t>(f.gcount());
+    if (n > 0) { return sink.write(buf, n); }
+    sink.done(); // EOF
+    return true;
+  };
+  return fdp;
+}
+
+inline std::pair<size_t, ContentProvider>
+make_file_body(const std::string &filepath) {
+  std::ifstream f(filepath, std::ios::binary | std::ios::ate);
+  if (!f) { return {0, ContentProvider{}}; }
+  auto size = static_cast<size_t>(f.tellg());
+
+  ContentProvider provider = [filepath](size_t offset, size_t length,
+                                        DataSink &sink) -> bool {
+    std::ifstream f(filepath, std::ios::binary);
+    if (!f) { return false; }
+    f.seekg(static_cast<std::streamoff>(offset));
+    if (!f.good()) { return false; }
+    char buf[8192];
+    while (length > 0) {
+      auto to_read = (std::min)(sizeof(buf), length);
+      f.read(buf, static_cast<std::streamsize>(to_read));
+      auto n = static_cast<size_t>(f.gcount());
+      if (n == 0) { break; }
+      if (!sink.write(buf, n)) { return false; }
+      length -= n;
+    }
+    return true;
+  };
+  return {size, std::move(provider)};
+}
+
 using ContentReceiverWithProgress = std::function<bool(
     const char *data, size_t data_length, size_t offset, size_t total_length)>;
 
@@ -799,6 +1103,105 @@ class ContentReader {
 using Range = std::pair<ssize_t, ssize_t>;
 using Ranges = std::vector<Range>;
 
+#ifdef CPPHTTPLIB_SSL_ENABLED
+// TLS abstraction layer - public type definitions and API
+namespace tls {
+
+// Opaque handles (defined as void* for abstraction)
+using ctx_t = void *;
+using session_t = void *;
+using const_session_t = const void *; // For read-only session access
+using cert_t = void *;
+using ca_store_t = void *;
+
+// TLS versions
+enum class Version {
+  TLS1_2 = 0x0303,
+  TLS1_3 = 0x0304,
+};
+
+// Subject Alternative Names (SAN) entry types
+enum class SanType { DNS, IP, EMAIL, URI, OTHER };
+
+// SAN entry structure
+struct SanEntry {
+  SanType type;
+  std::string value;
+};
+
+// Verification context for certificate verification callback
+struct VerifyContext {
+  session_t session;        // TLS session handle
+  cert_t cert;              // Current certificate being verified
+  int depth;                // Certificate chain depth (0 = leaf)
+  bool preverify_ok;        // OpenSSL/Mbed TLS pre-verification result
+  long error_code;          // Backend-specific error code (0 = no error)
+  const char *error_string; // Human-readable error description
+
+  // Certificate introspection methods
+  std::string subject_cn() const;
+  std::string issuer_name() const;
+  bool check_hostname(const char *hostname) const;
+  std::vector<SanEntry> sans() const;
+  bool validity(time_t &not_before, time_t &not_after) const;
+  std::string serial() const;
+};
+
+using VerifyCallback = std::function<bool(const VerifyContext &ctx)>;
+
+// TlsError codes for TLS operations (backend-independent)
+enum class ErrorCode : int {
+  Success = 0,
+  WantRead,         // Non-blocking: need to wait for read
+  WantWrite,        // Non-blocking: need to wait for write
+  PeerClosed,       // Peer closed the connection
+  Fatal,            // Unrecoverable error
+  SyscallError,     // System call error (check sys_errno)
+  CertVerifyFailed, // Certificate verification failed
+  HostnameMismatch, // Hostname verification failed
+};
+
+// TLS error information
+struct TlsError {
+  ErrorCode code = ErrorCode::Fatal;
+  uint64_t backend_code = 0; // OpenSSL: ERR_get_error(), mbedTLS: return value
+  int sys_errno = 0;         // errno when SyscallError
+
+  // Convert verification error code to human-readable string
+  static std::string verify_error_to_string(long error_code);
+};
+
+// RAII wrapper for peer certificate
+class PeerCert {
+public:
+  PeerCert();
+  PeerCert(PeerCert &&other) noexcept;
+  PeerCert &operator=(PeerCert &&other) noexcept;
+  ~PeerCert();
+
+  PeerCert(const PeerCert &) = delete;
+  PeerCert &operator=(const PeerCert &) = delete;
+
+  explicit operator bool() const;
+  std::string subject_cn() const;
+  std::string issuer_name() const;
+  bool check_hostname(const char *hostname) const;
+  std::vector<SanEntry> sans() const;
+  bool validity(time_t &not_before, time_t &not_after) const;
+  std::string serial() const;
+
+private:
+  explicit PeerCert(cert_t cert);
+  cert_t cert_ = nullptr;
+  friend PeerCert get_peer_cert_from_session(const_session_t session);
+};
+
+// Callback for TLS context setup (used by SSLServer constructor)
+using ContextSetupCallback = std::function<bool(ctx_t ctx)>;
+
+} // namespace tls
+#endif
+
 struct Request {
   std::string method;
   std::string path;
@@ -828,9 +1231,6 @@ struct Request {
   ContentReceiverWithProgress content_receiver;
   DownloadProgress download_progress;
   UploadProgress upload_progress;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  const SSL *ssl = nullptr;
-#endif
 
   bool has_header(const std::string &key) const;
   std::string get_header_value(const std::string &key, const char *def = "",
@@ -858,6 +1258,12 @@ struct Request {
   size_t authorization_count_ = 0;
   std::chrono::time_point<std::chrono::steady_clock> start_time_ =
       (std::chrono::steady_clock::time_point::min)();
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  tls::const_session_t ssl = nullptr;
+  tls::PeerCert peer_cert() const;
+  std::string sni() const;
+#endif
 };
 
 struct Response {
@@ -869,6 +1275,10 @@ struct Response {
   std::string body;
   std::string location; // Redirect location
 
+  // User-defined context — set by pre-routing/pre-request handlers and read
+  // by route handlers to pass arbitrary data (e.g. decoded auth tokens).
+  std::map<std::string, any> user_data;
+
   bool has_header(const std::string &key) const;
   std::string get_header_value(const std::string &key, const char *def = "",
                                size_t id = 0) const;
@@ -974,6 +1384,7 @@ class Stream {
   virtual bool is_readable() const = 0;
   virtual bool wait_readable() const = 0;
   virtual bool wait_writable() const = 0;
+  virtual bool is_peer_alive() const { return wait_writable(); }
 
   virtual ssize_t read(char *ptr, size_t size) = 0;
   virtual ssize_t write(const char *ptr, size_t size) = 0;
@@ -983,6 +1394,11 @@ class Stream {
 
   virtual time_t duration() const = 0;
 
+  virtual void set_read_timeout(time_t sec, time_t usec = 0) {
+    (void)sec;
+    (void)usec;
+  }
+
   ssize_t write(const char *ptr);
   ssize_t write(const std::string &s);
 
@@ -1005,84 +1421,30 @@ class TaskQueue {
 
 class ThreadPool final : public TaskQueue {
 public:
-  explicit ThreadPool(size_t n, size_t mqr = 0)
-      : shutdown_(false), max_queued_requests_(mqr) {
-    threads_.reserve(n);
-    while (n) {
-      threads_.emplace_back(worker(*this));
-      n--;
-    }
-  }
-
+  explicit ThreadPool(size_t n, size_t max_n = 0, size_t mqr = 0);
   ThreadPool(const ThreadPool &) = delete;
   ~ThreadPool() override = default;
 
-  bool enqueue(std::function<void()> fn) override {
-    {
-      std::unique_lock<std::mutex> lock(mutex_);
-      if (max_queued_requests_ > 0 && jobs_.size() >= max_queued_requests_) {
-        return false;
-      }
-      jobs_.push_back(std::move(fn));
-    }
-
-    cond_.notify_one();
-    return true;
-  }
-
-  void shutdown() override {
-    // Stop all worker threads...
-    {
-      std::unique_lock<std::mutex> lock(mutex_);
-      shutdown_ = true;
-    }
-
-    cond_.notify_all();
-
-    // Join...
-    for (auto &t : threads_) {
-      t.join();
-    }
-  }
+  bool enqueue(std::function<void()> fn) override;
+  void shutdown() override;
 
 private:
-  struct worker {
-    explicit worker(ThreadPool &pool) : pool_(pool) {}
-
-    void operator()() {
-      for (;;) {
-        std::function<void()> fn;
-        {
-          std::unique_lock<std::mutex> lock(pool_.mutex_);
+  void worker(bool is_dynamic);
+  void move_to_finished(std::thread::id id);
+  void cleanup_finished_threads();
 
-          pool_.cond_.wait(
-              lock, [&] { return !pool_.jobs_.empty() || pool_.shutdown_; });
+  size_t base_thread_count_;
+  size_t max_thread_count_;
+  size_t max_queued_requests_;
+  size_t idle_thread_count_;
 
-          if (pool_.shutdown_ && pool_.jobs_.empty()) { break; }
-
-          fn = pool_.jobs_.front();
-          pool_.jobs_.pop_front();
-        }
-
-        assert(true == static_cast<bool>(fn));
-        fn();
-      }
-
-#if defined(CPPHTTPLIB_OPENSSL_SUPPORT) && !defined(OPENSSL_IS_BORINGSSL) &&   \
-    !defined(LIBRESSL_VERSION_NUMBER)
-      OPENSSL_thread_stop();
-#endif
-    }
-
-    ThreadPool &pool_;
-  };
-  friend struct worker;
+  bool shutdown_;
 
-  std::vector<std::thread> threads_;
   std::list<std::function<void()>> jobs_;
-
-  bool shutdown_;
-  size_t max_queued_requests_ = 0;
+  std::vector<std::thread> threads_;       // base threads
+  std::list<std::thread> dynamic_threads_; // dynamic threads
+  std::vector<std::thread>
+      finished_threads_; // exited dynamic threads awaiting join
 
   std::condition_variable cond_;
   std::mutex mutex_;
@@ -1184,6 +1546,9 @@ int close_socket(socket_t sock);
 
 ssize_t write_headers(Stream &strm, const Headers &headers);
 
+bool set_socket_opt_time(socket_t sock, int level, int optname, time_t sec,
+                         time_t usec);
+
 } // namespace detail
 
 class Server {
@@ -1206,6 +1571,11 @@ class Server {
   using Expect100ContinueHandler =
       std::function<int(const Request &, Response &)>;
 
+  using WebSocketHandler =
+      std::function<void(const Request &, ws::WebSocket &)>;
+  using SubProtocolSelector =
+      std::function<std::string(const std::vector<std::string> &protocols)>;
+
   Server();
 
   virtual ~Server();
@@ -1223,6 +1593,10 @@ class Server {
   Server &Delete(const std::string &pattern, HandlerWithContentReader handler);
   Server &Options(const std::string &pattern, Handler handler);
 
+  Server &WebSocket(const std::string &pattern, WebSocketHandler handler);
+  Server &WebSocket(const std::string &pattern, WebSocketHandler handler,
+                    SubProtocolSelector sub_protocol_selector);
+
   bool set_base_dir(const std::string &dir,
                     const std::string &mount_point = std::string());
   bool set_mount_point(const std::string &mount_point, const std::string &dir,
@@ -1298,7 +1672,8 @@ class Server {
                        int remote_port, const std::string &local_addr,
                        int local_port, bool close_connection,
                        bool &connection_closed,
-                       const std::function<void(Request &)> &setup_request);
+                       const std::function<void(Request &)> &setup_request,
+                       bool *websocket_upgraded = nullptr);
 
   std::atomic<socket_t> svr_sock_{INVALID_SOCKET};
 
@@ -1400,6 +1775,14 @@ class Server {
   HandlersForContentReader delete_handlers_for_content_reader_;
   Handlers options_handlers_;
 
+  struct WebSocketHandlerEntry {
+    std::unique_ptr<detail::MatcherBase> matcher;
+    WebSocketHandler handler;
+    SubProtocolSelector sub_protocol_selector;
+  };
+  using WebSocketHandlers = std::vector<WebSocketHandlerEntry>;
+  WebSocketHandlers websocket_handlers_;
+
   HandlerWithResponse error_handler_;
   ExceptionHandler exception_handler_;
   HandlerWithResponse pre_routing_handler_;
@@ -1429,17 +1812,6 @@ class Result {
          Headers &&request_headers = Headers{})
       : res_(std::move(res)), err_(err),
         request_headers_(std::move(request_headers)) {}
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  Result(std::unique_ptr<Response> &&res, Error err, Headers &&request_headers,
-         int ssl_error)
-      : res_(std::move(res)), err_(err),
-        request_headers_(std::move(request_headers)), ssl_error_(ssl_error) {}
-  Result(std::unique_ptr<Response> &&res, Error err, Headers &&request_headers,
-         int ssl_error, unsigned long ssl_openssl_error)
-      : res_(std::move(res)), err_(err),
-        request_headers_(std::move(request_headers)), ssl_error_(ssl_error),
-        ssl_openssl_error_(ssl_openssl_error) {}
-#endif
   // Response
   operator bool() const { return res_ != nullptr; }
   bool operator==(std::nullptr_t) const { return res_ == nullptr; }
@@ -1454,13 +1826,6 @@ class Result {
   // Error
   Error error() const { return err_; }
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  // SSL Error
-  int ssl_error() const { return ssl_error_; }
-  // OpenSSL Error
-  unsigned long ssl_openssl_error() const { return ssl_openssl_error_; }
-#endif
-
   // Request Headers
   bool has_request_header(const std::string &key) const;
   std::string get_request_header_value(const std::string &key,
@@ -1474,64 +1839,76 @@ class Result {
   std::unique_ptr<Response> res_;
   Error err_ = Error::Unknown;
   Headers request_headers_;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+public:
+  Result(std::unique_ptr<Response> &&res, Error err, Headers &&request_headers,
+         int ssl_error)
+      : res_(std::move(res)), err_(err),
+        request_headers_(std::move(request_headers)), ssl_error_(ssl_error) {}
+  Result(std::unique_ptr<Response> &&res, Error err, Headers &&request_headers,
+         int ssl_error, uint64_t ssl_backend_error)
+      : res_(std::move(res)), err_(err),
+        request_headers_(std::move(request_headers)), ssl_error_(ssl_error),
+        ssl_backend_error_(ssl_backend_error) {}
+
+  int ssl_error() const { return ssl_error_; }
+  uint64_t ssl_backend_error() const { return ssl_backend_error_; }
+
+private:
   int ssl_error_ = 0;
-  unsigned long ssl_openssl_error_ = 0;
+  uint64_t ssl_backend_error_ = 0;
+#endif
+
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+public:
+  [[deprecated("Use ssl_backend_error() instead")]]
+  uint64_t ssl_openssl_error() const {
+    return ssl_backend_error_;
+  }
 #endif
 };
 
 struct ClientConnection {
   socket_t sock = INVALID_SOCKET;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  SSL *ssl = nullptr;
-#endif
 
   bool is_open() const { return sock != INVALID_SOCKET; }
 
   ClientConnection() = default;
 
-  ~ClientConnection() {
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    if (ssl) {
-      SSL_free(ssl);
-      ssl = nullptr;
-    }
-#endif
-    if (sock != INVALID_SOCKET) {
-      detail::close_socket(sock);
-      sock = INVALID_SOCKET;
-    }
-  }
+  ~ClientConnection();
 
   ClientConnection(const ClientConnection &) = delete;
   ClientConnection &operator=(const ClientConnection &) = delete;
 
   ClientConnection(ClientConnection &&other) noexcept
       : sock(other.sock)
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
         ,
-        ssl(other.ssl)
+        session(other.session)
 #endif
   {
     other.sock = INVALID_SOCKET;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    other.ssl = nullptr;
+#ifdef CPPHTTPLIB_SSL_ENABLED
+    other.session = nullptr;
 #endif
   }
 
   ClientConnection &operator=(ClientConnection &&other) noexcept {
     if (this != &other) {
       sock = other.sock;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-      ssl = other.ssl;
-#endif
       other.sock = INVALID_SOCKET;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-      other.ssl = nullptr;
+#ifdef CPPHTTPLIB_SSL_ENABLED
+      session = other.session;
+      other.session = nullptr;
 #endif
     }
     return *this;
   }
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  tls::session_t session = nullptr;
+#endif
 };
 
 namespace detail {
@@ -1540,7 +1917,9 @@ struct ChunkedDecoder;
 
 struct BodyReader {
   Stream *stream = nullptr;
+  bool has_content_length = false;
   size_t content_length = 0;
+  size_t payload_max_length = CPPHTTPLIB_PAYLOAD_MAX_LENGTH;
   size_t bytes_read = 0;
   bool chunked = false;
   bool eof = false;
@@ -1610,6 +1989,7 @@ class ClientImpl {
     std::unique_ptr<detail::decompressor> decompressor_;
     std::string decompress_buffer_;
     size_t decompress_offset_ = 0;
+    size_t decompressed_bytes_read_ = 0;
   };
 
   // clang-format off
@@ -1756,10 +2136,6 @@ class ClientImpl {
 
   void set_basic_auth(const std::string &username, const std::string &password);
   void set_bearer_token_auth(const std::string &token);
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  void set_digest_auth(const std::string &username,
-                       const std::string &password);
-#endif
 
   void set_keep_alive(bool on);
   void set_follow_location(bool on);
@@ -1770,30 +2146,14 @@ class ClientImpl {
 
   void set_decompress(bool on);
 
+  void set_payload_max_length(size_t length);
+
   void set_interface(const std::string &intf);
 
   void set_proxy(const std::string &host, int port);
   void set_proxy_basic_auth(const std::string &username,
                             const std::string &password);
   void set_proxy_bearer_token_auth(const std::string &token);
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  void set_proxy_digest_auth(const std::string &username,
-                             const std::string &password);
-#endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  void set_ca_cert_path(const std::string &ca_cert_file_path,
-                        const std::string &ca_cert_dir_path = std::string());
-  void set_ca_cert_store(X509_STORE *ca_cert_store);
-  X509_STORE *create_ca_cert_store(const char *ca_cert, std::size_t size) const;
-#endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  void enable_server_certificate_verification(bool enabled);
-  void enable_server_hostname_verification(bool enabled);
-  void set_server_certificate_verifier(
-      std::function<SSLVerifierResponse(SSL *ssl)> verifier);
-#endif
 
   void set_logger(Logger logger);
   void set_error_logger(ErrorLogger error_logger);
@@ -1801,11 +2161,15 @@ class ClientImpl {
 protected:
   struct Socket {
     socket_t sock = INVALID_SOCKET;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    SSL *ssl = nullptr;
-#endif
+
+    // For Mbed TLS compatibility: start_time for request timeout tracking
+    std::chrono::time_point<std::chrono::steady_clock> start_time_;
 
     bool is_open() const { return sock != INVALID_SOCKET; }
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+    tls::session_t ssl = nullptr;
+#endif
   };
 
   virtual bool create_and_connect_socket(Socket &socket, Error &error);
@@ -1872,10 +2236,6 @@ class ClientImpl {
   std::string basic_auth_username_;
   std::string basic_auth_password_;
   std::string bearer_token_auth_token_;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  std::string digest_auth_username_;
-  std::string digest_auth_password_;
-#endif
 
   bool keep_alive_ = false;
   bool follow_location_ = false;
@@ -1890,6 +2250,9 @@ class ClientImpl {
   bool compress_ = false;
   bool decompress_ = true;
 
+  size_t payload_max_length_ = CPPHTTPLIB_PAYLOAD_MAX_LENGTH;
+  bool has_payload_max_length_ = false;
+
   std::string interface_;
 
   std::string proxy_host_;
@@ -1898,33 +2261,11 @@ class ClientImpl {
   std::string proxy_basic_auth_username_;
   std::string proxy_basic_auth_password_;
   std::string proxy_bearer_token_auth_token_;
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  std::string proxy_digest_auth_username_;
-  std::string proxy_digest_auth_password_;
-#endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  std::string ca_cert_file_path_;
-  std::string ca_cert_dir_path_;
-
-  X509_STORE *ca_cert_store_ = nullptr;
-#endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  bool server_certificate_verification_ = true;
-  bool server_hostname_verification_ = true;
-  std::function<SSLVerifierResponse(SSL *ssl)> server_certificate_verifier_;
-#endif
 
   mutable std::mutex logger_mutex_;
   Logger logger_;
   ErrorLogger error_logger_;
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  int last_ssl_error_ = 0;
-  unsigned long last_openssl_error_ = 0;
-#endif
-
 private:
   bool send_(Request &req, Response &res, Error &error);
   Result send_(Request &&req);
@@ -1969,6 +2310,44 @@ class ClientImpl {
   virtual bool is_ssl() const;
 
   void transfer_socket_ownership_to_handle(StreamHandle &handle);
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+public:
+  void set_digest_auth(const std::string &username,
+                       const std::string &password);
+  void set_proxy_digest_auth(const std::string &username,
+                             const std::string &password);
+  void set_ca_cert_path(const std::string &ca_cert_file_path,
+                        const std::string &ca_cert_dir_path = std::string());
+  void enable_server_certificate_verification(bool enabled);
+  void enable_server_hostname_verification(bool enabled);
+
+protected:
+  std::string digest_auth_username_;
+  std::string digest_auth_password_;
+  std::string proxy_digest_auth_username_;
+  std::string proxy_digest_auth_password_;
+  std::string ca_cert_file_path_;
+  std::string ca_cert_dir_path_;
+  bool server_certificate_verification_ = true;
+  bool server_hostname_verification_ = true;
+  std::string ca_cert_pem_; // Store CA cert PEM for redirect transfer
+  int last_ssl_error_ = 0;
+  uint64_t last_backend_error_ = 0;
+#endif
+
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+public:
+  [[deprecated("Use load_ca_cert_store() instead")]]
+  void set_ca_cert_store(X509_STORE *ca_cert_store);
+
+  [[deprecated("Use tls::create_ca_store() instead")]]
+  X509_STORE *create_ca_cert_store(const char *ca_cert, std::size_t size) const;
+
+  [[deprecated("Use set_server_certificate_verifier(VerifyCallback) instead")]]
+  virtual void set_server_certificate_verifier(
+      std::function<SSLVerifierResponse(SSL *ssl)> verifier);
+#endif
 };
 
 class Client {
@@ -2138,10 +2517,6 @@ class Client {
 
   void set_basic_auth(const std::string &username, const std::string &password);
   void set_bearer_token_auth(const std::string &token);
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  void set_digest_auth(const std::string &username,
-                       const std::string &password);
-#endif
 
   void set_keep_alive(bool on);
   void set_follow_location(bool on);
@@ -2153,49 +2528,64 @@ class Client {
 
   void set_decompress(bool on);
 
+  void set_payload_max_length(size_t length);
+
   void set_interface(const std::string &intf);
 
   void set_proxy(const std::string &host, int port);
   void set_proxy_basic_auth(const std::string &username,
                             const std::string &password);
   void set_proxy_bearer_token_auth(const std::string &token);
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+  void set_logger(Logger logger);
+  void set_error_logger(ErrorLogger error_logger);
+
+private:
+  std::unique_ptr<ClientImpl> cli_;
+
+#ifdef CPPHTTPLIB_SSL_ENABLED
+public:
+  void set_digest_auth(const std::string &username,
+                       const std::string &password);
   void set_proxy_digest_auth(const std::string &username,
                              const std::string &password);
-#endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
   void enable_server_certificate_verification(bool enabled);
   void enable_server_hostname_verification(bool enabled);
-  void set_server_certificate_verifier(
-      std::function<SSLVerifierResponse(SSL *ssl)> verifier);
-#endif
-
-  void set_logger(Logger logger);
-  void set_error_logger(ErrorLogger error_logger);
-
-  // SSL
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
   void set_ca_cert_path(const std::string &ca_cert_file_path,
                         const std::string &ca_cert_dir_path = std::string());
 
-  void set_ca_cert_store(X509_STORE *ca_cert_store);
+  void set_ca_cert_store(tls::ca_store_t ca_cert_store);
   void load_ca_cert_store(const char *ca_cert, std::size_t size);
 
-  long get_openssl_verify_result() const;
+  void set_server_certificate_verifier(tls::VerifyCallback verifier);
 
-  SSL_CTX *ssl_context() const;
+  void set_session_verifier(
+      std::function<SSLVerifierResponse(tls::session_t)> verifier);
+
+  tls::ctx_t tls_context() const;
+
+#ifdef CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+  void enable_windows_certificate_verification(bool enabled);
 #endif
 
 private:
-  std::unique_ptr<ClientImpl> cli_;
+  bool is_ssl_ = false;
+#endif
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-  bool is_ssl_ = false;
+public:
+  [[deprecated("Use tls_context() instead")]]
+  SSL_CTX *ssl_context() const;
+
+  [[deprecated("Use set_session_verifier(session_t) instead")]]
+  void set_server_certificate_verifier(
+      std::function<SSLVerifierResponse(SSL *ssl)> verifier);
+
+  [[deprecated("Use Result::ssl_backend_error() instead")]]
+  long get_verify_result() const;
 #endif
 };
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+#ifdef CPPHTTPLIB_SSL_ENABLED
 class SSLServer : public Server {
 public:
   SSLServer(const char *cert_path, const char *private_key_path,
@@ -2203,32 +2593,60 @@ class SSLServer : public Server {
             const char *client_ca_cert_dir_path = nullptr,
             const char *private_key_password = nullptr);
 
-  SSLServer(X509 *cert, EVP_PKEY *private_key,
-            X509_STORE *client_ca_cert_store = nullptr);
+  struct PemMemory {
+    const char *cert_pem;
+    size_t cert_pem_len;
+    const char *key_pem;
+    size_t key_pem_len;
+    const char *client_ca_pem;
+    size_t client_ca_pem_len;
+    const char *private_key_password;
+  };
+  explicit SSLServer(const PemMemory &pem);
 
-  SSLServer(
-      const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback);
+  // The callback receives the ctx_t handle which can be cast to the
+  // appropriate backend type (SSL_CTX* for OpenSSL,
+  // tls::impl::MbedTlsContext* for Mbed TLS)
+  explicit SSLServer(const tls::ContextSetupCallback &setup_callback);
 
   ~SSLServer() override;
 
   bool is_valid() const override;
 
-  SSL_CTX *ssl_context() const;
+  bool update_certs_pem(const char *cert_pem, const char *key_pem,
+                        const char *client_ca_pem = nullptr,
+                        const char *password = nullptr);
 
-  void update_certs(X509 *cert, EVP_PKEY *private_key,
-                    X509_STORE *client_ca_cert_store = nullptr);
+  tls::ctx_t tls_context() const { return ctx_; }
 
   int ssl_last_error() const { return last_ssl_error_; }
 
 private:
   bool process_and_close_socket(socket_t sock) override;
 
-  STACK_OF(X509_NAME) * extract_ca_names_from_x509_store(X509_STORE *store);
-
-  SSL_CTX *ctx_;
+  tls::ctx_t ctx_ = nullptr;
   std::mutex ctx_mutex_;
 
   int last_ssl_error_ = 0;
+
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+public:
+  [[deprecated("Use SSLServer(PemMemory) or "
+               "SSLServer(ContextSetupCallback) instead")]]
+  SSLServer(X509 *cert, EVP_PKEY *private_key,
+            X509_STORE *client_ca_cert_store = nullptr);
+
+  [[deprecated("Use SSLServer(ContextSetupCallback) instead")]]
+  SSLServer(
+      const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback);
+
+  [[deprecated("Use tls_context() instead")]]
+  SSL_CTX *ssl_context() const;
+
+  [[deprecated("Use update_certs_pem() instead")]]
+  void update_certs(X509 *cert, EVP_PKEY *private_key,
+                    X509_STORE *client_ca_cert_store = nullptr);
+#endif
 };
 
 class SSLClient final : public ClientImpl {
@@ -2242,20 +2660,33 @@ class SSLClient final : public ClientImpl {
                      const std::string &client_key_path,
                      const std::string &private_key_password = std::string());
 
-  explicit SSLClient(const std::string &host, int port, X509 *client_cert,
-                     EVP_PKEY *client_key,
-                     const std::string &private_key_password = std::string());
+  struct PemMemory {
+    const char *cert_pem;
+    size_t cert_pem_len;
+    const char *key_pem;
+    size_t key_pem_len;
+    const char *private_key_password;
+  };
+  explicit SSLClient(const std::string &host, int port, const PemMemory &pem);
 
   ~SSLClient() override;
 
   bool is_valid() const override;
 
-  void set_ca_cert_store(X509_STORE *ca_cert_store);
+  void set_ca_cert_store(tls::ca_store_t ca_cert_store);
   void load_ca_cert_store(const char *ca_cert, std::size_t size);
 
-  long get_openssl_verify_result() const;
+  void set_server_certificate_verifier(tls::VerifyCallback verifier);
 
-  SSL_CTX *ssl_context() const;
+  // Post-handshake session verifier (backend-independent)
+  void set_session_verifier(
+      std::function<SSLVerifierResponse(tls::session_t)> verifier);
+
+  tls::ctx_t tls_context() const { return ctx_; }
+
+#ifdef CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+  void enable_windows_certificate_verification(bool enabled);
+#endif
 
 private:
   bool create_and_connect_socket(Socket &socket, Error &error) override;
@@ -2277,26 +2708,44 @@ class SSLClient final : public ClientImpl {
 
   bool load_certs();
 
-  bool verify_host(X509 *server_cert) const;
-  bool verify_host_with_subject_alt_name(X509 *server_cert) const;
-  bool verify_host_with_common_name(X509 *server_cert) const;
-  bool check_host_name(const char *pattern, size_t pattern_len) const;
-
-  SSL_CTX *ctx_;
+  tls::ctx_t ctx_ = nullptr;
   std::mutex ctx_mutex_;
   std::once_flag initialize_cert_;
 
-  std::vector<std::string> host_components_;
-
   long verify_result_ = 0;
 
-  friend class ClientImpl;
-};
+  std::function<SSLVerifierResponse(tls::session_t)> session_verifier_;
+
+#ifdef CPPHTTPLIB_WINDOWS_AUTOMATIC_ROOT_CERTIFICATES_UPDATE
+  bool enable_windows_cert_verification_ = true;
 #endif
 
-/*
- * Implementation of template methods.
- */
+  friend class ClientImpl;
+
+#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
+public:
+  [[deprecated("Use SSLClient(host, port, PemMemory) instead")]]
+  explicit SSLClient(const std::string &host, int port, X509 *client_cert,
+                     EVP_PKEY *client_key,
+                     const std::string &private_key_password = std::string());
+
+  [[deprecated("Use Result::ssl_backend_error() instead")]]
+  long get_verify_result() const;
+
+  [[deprecated("Use tls_context() instead")]]
+  SSL_CTX *ssl_context() const;
+
+  [[deprecated("Use set_session_verifier(session_t) instead")]]
+  void set_server_certificate_verifier(
+      std::function<SSLVerifierResponse(SSL *ssl)> verifier) override;
+
+private:
+  bool verify_host(X509 *server_cert) const;
+  bool verify_host_with_subject_alt_name(X509 *server_cert) const;
+  bool verify_host_with_common_name(X509 *server_cert) const;
+#endif
+};
+#endif // CPPHTTPLIB_SSL_ENABLED
 
 namespace detail {
 
@@ -2328,7 +2777,7 @@ inline size_t get_header_value_u64(const Headers &headers,
   std::advance(it, static_cast<ssize_t>(id));
   if (it != rng.second) {
     if (is_numeric(it->second)) {
-      return std::strtoull(it->second.data(), nullptr, 10);
+      return static_cast<size_t>(std::strtoull(it->second.data(), nullptr, 10));
     } else {
       is_invalid_value = true;
     }
@@ -2345,66 +2794,6 @@ inline size_t get_header_value_u64(const Headers &headers,
 
 } // namespace detail
 
-inline size_t Request::get_header_value_u64(const std::string &key, size_t def,
-                                            size_t id) const {
-  return detail::get_header_value_u64(headers, key, def, id);
-}
-
-inline size_t Response::get_header_value_u64(const std::string &key, size_t def,
-                                             size_t id) const {
-  return detail::get_header_value_u64(headers, key, def, id);
-}
-
-namespace detail {
-
-inline bool set_socket_opt_impl(socket_t sock, int level, int optname,
-                                const void *optval, socklen_t optlen) {
-  return setsockopt(sock, level, optname,
-#ifdef _WIN32
-                    reinterpret_cast<const char *>(optval),
-#else
-                    optval,
-#endif
-                    optlen) == 0;
-}
-
-inline bool set_socket_opt(socket_t sock, int level, int optname, int optval) {
-  return set_socket_opt_impl(sock, level, optname, &optval, sizeof(optval));
-}
-
-inline bool set_socket_opt_time(socket_t sock, int level, int optname,
-                                time_t sec, time_t usec) {
-#ifdef _WIN32
-  auto timeout = static_cast<uint32_t>(sec * 1000 + usec / 1000);
-#else
-  timeval timeout;
-  timeout.tv_sec = static_cast<long>(sec);
-  timeout.tv_usec = static_cast<decltype(timeout.tv_usec)>(usec);
-#endif
-  return set_socket_opt_impl(sock, level, optname, &timeout, sizeof(timeout));
-}
-
-} // namespace detail
-
-inline void default_socket_options(socket_t sock) {
-  detail::set_socket_opt(sock, SOL_SOCKET,
-#ifdef SO_REUSEPORT
-                         SO_REUSEPORT,
-#else
-                         SO_REUSEADDR,
-#endif
-                         1);
-}
-
-inline std::string get_bearer_token_auth(const Request &req) {
-  if (req.has_header("Authorization")) {
-    constexpr auto bearer_header_prefix_len = detail::str_len("Bearer ");
-    return req.get_header_value("Authorization")
-        .substr(bearer_header_prefix_len);
-  }
-  return "";
-}
-
 template <class Rep, class Period>
 inline Server &
 Server::set_read_timeout(const std::chrono::duration<Rep, Period> &duration) {
@@ -2429,12 +2818,6 @@ Server::set_idle_interval(const std::chrono::duration<Rep, Period> &duration) {
   return *this;
 }
 
-inline size_t Result::get_request_header_value_u64(const std::string &key,
-                                                   size_t def,
-                                                   size_t id) const {
-  return detail::get_header_value_u64(request_headers_, key, def, id);
-}
-
 template <class Rep, class Period>
 inline void ClientImpl::set_connection_timeout(
     const std::chrono::duration<Rep, Period> &duration) {
@@ -2842,105 +3225,103 @@ bool is_field_content(const std::string &s);
 bool is_field_value(const std::string &s);
 
 } // namespace fields
-
 } // namespace detail
 
-namespace stream {
-
-class Result {
-public:
-  Result() : chunk_size_(8192) {}
-
-  explicit Result(ClientImpl::StreamHandle &&handle, size_t chunk_size = 8192)
-      : handle_(std::move(handle)), chunk_size_(chunk_size) {}
-
-  Result(Result &&other) noexcept
-      : handle_(std::move(other.handle_)), buffer_(std::move(other.buffer_)),
-        current_size_(other.current_size_), chunk_size_(other.chunk_size_),
-        finished_(other.finished_) {
-    other.current_size_ = 0;
-    other.finished_ = true;
-  }
-
-  Result &operator=(Result &&other) noexcept {
-    if (this != &other) {
-      handle_ = std::move(other.handle_);
-      buffer_ = std::move(other.buffer_);
-      current_size_ = other.current_size_;
-      chunk_size_ = other.chunk_size_;
-      finished_ = other.finished_;
-      other.current_size_ = 0;
-      other.finished_ = true;
-    }
-    return *this;
-  }
-
-  Result(const Result &) = delete;
-  Result &operator=(const Result &) = delete;
+/*
+ * TLS Abstraction Layer Declarations
+ */
 
-  // Check if the result is valid (connection succeeded and response received)
-  bool is_valid() const { return handle_.is_valid(); }
-  explicit operator bool() const { return is_valid(); }
+#ifdef CPPHTTPLIB_SSL_ENABLED
+// TLS abstraction layer - backend-specific type declarations
+#ifdef CPPHTTPLIB_MBEDTLS_SUPPORT
+namespace tls {
+namespace impl {
+
+// Mbed TLS context wrapper (holds config, entropy, DRBG, CA chain, own
+// cert/key). This struct is accessible via tls::impl for use in SSL context
+// setup callbacks (cast ctx_t to tls::impl::MbedTlsContext*).
+struct MbedTlsContext {
+  mbedtls_ssl_config conf;
+  mbedtls_entropy_context entropy;
+  mbedtls_ctr_drbg_context ctr_drbg;
+  mbedtls_x509_crt ca_chain;
+  mbedtls_x509_crt own_cert;
+  mbedtls_pk_context own_key;
+  bool is_server = false;
+  bool verify_client = false;
+  bool has_verify_callback = false;
+
+  MbedTlsContext();
+  ~MbedTlsContext();
+
+  MbedTlsContext(const MbedTlsContext &) = delete;
+  MbedTlsContext &operator=(const MbedTlsContext &) = delete;
+};
 
-  // Response status code
-  int status() const {
-    return handle_.response ? handle_.response->status : -1;
-  }
+} // namespace impl
+} // namespace tls
+#endif
 
-  // Response headers
-  const Headers &headers() const {
-    static const Headers empty_headers;
-    return handle_.response ? handle_.response->headers : empty_headers;
-  }
+#ifdef CPPHTTPLIB_WOLFSSL_SUPPORT
+namespace tls {
+namespace impl {
 
-  std::string get_header_value(const std::string &key,
-                               const char *def = "") const {
-    return handle_.response ? handle_.response->get_header_value(key, def)
-                            : def;
-  }
+// wolfSSL context wrapper (holds WOLFSSL_CTX and related state).
+// This struct is accessible via tls::impl for use in SSL context
+// setup callbacks (cast ctx_t to tls::impl::WolfSSLContext*).
+struct WolfSSLContext {
+  WOLFSSL_CTX *ctx = nullptr;
+  bool is_server = false;
+  bool verify_client = false;
+  bool has_verify_callback = false;
+  std::string ca_pem_data_; // accumulated PEM for get_ca_names/get_ca_certs
 
-  bool has_header(const std::string &key) const {
-    return handle_.response ? handle_.response->has_header(key) : false;
-  }
+  WolfSSLContext();
+  ~WolfSSLContext();
 
-  // Error information
-  Error error() const { return handle_.error; }
-  Error read_error() const { return handle_.get_read_error(); }
-  bool has_read_error() const { return handle_.has_read_error(); }
+  WolfSSLContext(const WolfSSLContext &) = delete;
+  WolfSSLContext &operator=(const WolfSSLContext &) = delete;
+};
 
-  // Streaming iteration API
-  // Call next() to read the next chunk, then access data via data()/size()
-  // Returns true if data was read, false when stream is exhausted
-  bool next() {
-    if (!handle_.is_valid() || finished_) { return false; }
+// CA store for wolfSSL: holds raw PEM bytes to allow reloading into any ctx
+struct WolfSSLCAStore {
+  std::string pem_data;
+};
 
-    if (buffer_.size() < chunk_size_) { buffer_.resize(chunk_size_); }
+} // namespace impl
+} // namespace tls
+#endif
 
-    ssize_t n = handle_.read(&buffer_[0], chunk_size_);
-    if (n > 0) {
-      current_size_ = static_cast<size_t>(n);
-      return true;
-    }
+#endif // CPPHTTPLIB_SSL_ENABLED
 
-    current_size_ = 0;
-    finished_ = true;
-    return false;
-  }
+namespace stream {
 
-  // Pointer to current chunk data (valid after next() returns true)
-  const char *data() const { return buffer_.data(); }
+class Result {
+public:
+  Result();
+  explicit Result(ClientImpl::StreamHandle &&handle, size_t chunk_size = 8192);
+  Result(Result &&other) noexcept;
+  Result &operator=(Result &&other) noexcept;
+  Result(const Result &) = delete;
+  Result &operator=(const Result &) = delete;
 
-  // Size of current chunk (valid after next() returns true)
-  size_t size() const { return current_size_; }
+  // Response info
+  bool is_valid() const;
+  explicit operator bool() const;
+  int status() const;
+  const Headers &headers() const;
+  std::string get_header_value(const std::string &key,
+                               const char *def = "") const;
+  bool has_header(const std::string &key) const;
+  Error error() const;
+  Error read_error() const;
+  bool has_read_error() const;
 
-  // Convenience method: read all remaining data into a string
-  std::string read_all() {
-    std::string result;
-    while (next()) {
-      result.append(data(), size());
-    }
-    return result;
-  }
+  // Stream reading
+  bool next();
+  const char *data() const;
+  size_t size() const;
+  std::string read_all();
 
 private:
   ClientImpl::StreamHandle handle_;
@@ -3205,13 +3586,8 @@ struct SSEMessage {
   std::string data;  // Event payload
   std::string id;    // Event ID for Last-Event-ID header
 
-  SSEMessage() : event("message") {}
-
-  void clear() {
-    event = "message";
-    data.clear();
-    id.clear();
-  }
+  SSEMessage();
+  void clear();
 };
 
 class SSEClient {
@@ -3220,282 +3596,203 @@ class SSEClient {
   using ErrorHandler = std::function<void(Error)>;
   using OpenHandler = std::function<void()>;
 
-  SSEClient(Client &client, const std::string &path)
-      : client_(client), path_(path) {}
-
-  SSEClient(Client &client, const std::string &path, const Headers &headers)
-      : client_(client), path_(path), headers_(headers) {}
-
-  ~SSEClient() { stop(); }
+  SSEClient(Client &client, const std::string &path);
+  SSEClient(Client &client, const std::string &path, const Headers &headers);
+  ~SSEClient();
 
   SSEClient(const SSEClient &) = delete;
   SSEClient &operator=(const SSEClient &) = delete;
 
   // Event handlers
-  SSEClient &on_message(MessageHandler handler) {
-    on_message_ = std::move(handler);
-    return *this;
-  }
-
-  SSEClient &on_event(const std::string &type, MessageHandler handler) {
-    event_handlers_[type] = std::move(handler);
-    return *this;
-  }
-
-  SSEClient &on_open(OpenHandler handler) {
-    on_open_ = std::move(handler);
-    return *this;
-  }
-
-  SSEClient &on_error(ErrorHandler handler) {
-    on_error_ = std::move(handler);
-    return *this;
-  }
-
-  SSEClient &set_reconnect_interval(int ms) {
-    reconnect_interval_ms_ = ms;
-    return *this;
-  }
-
-  SSEClient &set_max_reconnect_attempts(int n) {
-    max_reconnect_attempts_ = n;
-    return *this;
-  }
+  SSEClient &on_message(MessageHandler handler);
+  SSEClient &on_event(const std::string &type, MessageHandler handler);
+  SSEClient &on_open(OpenHandler handler);
+  SSEClient &on_error(ErrorHandler handler);
+  SSEClient &set_reconnect_interval(int ms);
+  SSEClient &set_max_reconnect_attempts(int n);
 
   // State accessors
-  bool is_connected() const { return connected_.load(); }
-  const std::string &last_event_id() const { return last_event_id_; }
+  bool is_connected() const;
+  const std::string &last_event_id() const;
 
   // Blocking start - runs event loop with auto-reconnect
-  void start() {
-    running_.store(true);
-    run_event_loop();
-  }
+  void start();
 
   // Non-blocking start - runs in background thread
-  void start_async() {
-    running_.store(true);
-    async_thread_ = std::thread([this]() { run_event_loop(); });
-  }
+  void start_async();
 
   // Stop the client (thread-safe)
-  void stop() {
-    running_.store(false);
-    client_.stop(); // Cancel any pending operations
-    if (async_thread_.joinable()) { async_thread_.join(); }
-  }
+  void stop();
 
 private:
-  // Parse a single SSE field line
-  // Returns true if this line ends an event (blank line)
-  bool parse_sse_line(const std::string &line, SSEMessage &msg, int &retry_ms) {
-    // Blank line signals end of event
-    if (line.empty() || line == "\r") { return true; }
-
-    // Lines starting with ':' are comments (ignored)
-    if (!line.empty() && line[0] == ':') { return false; }
-
-    // Find the colon separator
-    auto colon_pos = line.find(':');
-    if (colon_pos == std::string::npos) {
-      // Line with no colon is treated as field name with empty value
-      return false;
-    }
-
-    auto field = line.substr(0, colon_pos);
-    std::string value;
+  bool parse_sse_line(const std::string &line, SSEMessage &msg, int &retry_ms);
+  void run_event_loop();
+  void dispatch_event(const SSEMessage &msg);
+  bool should_reconnect(int count) const;
+  void wait_for_reconnect();
 
-    // Value starts after colon, skip optional single space
-    if (colon_pos + 1 < line.size()) {
-      auto value_start = colon_pos + 1;
-      if (line[value_start] == ' ') { value_start++; }
-      value = line.substr(value_start);
-      // Remove trailing \r if present
-      if (!value.empty() && value.back() == '\r') { value.pop_back(); }
-    }
-
-    // Handle known fields
-    if (field == "event") {
-      msg.event = value;
-    } else if (field == "data") {
-      // Multiple data lines are concatenated with newlines
-      if (!msg.data.empty()) { msg.data += "\n"; }
-      msg.data += value;
-    } else if (field == "id") {
-      // Empty id is valid (clears the last event ID)
-      msg.id = value;
-    } else if (field == "retry") {
-      // Parse retry interval in milliseconds
-      {
-        int v = 0;
-        auto res =
-            detail::from_chars(value.data(), value.data() + value.size(), v);
-        if (res.ec == std::errc{}) { retry_ms = v; }
-      }
-    }
-    // Unknown fields are ignored per SSE spec
-
-    return false;
-  }
-
-  // Main event loop with auto-reconnect
-  void run_event_loop() {
-    auto reconnect_count = 0;
-
-    while (running_.load()) {
-      // Build headers, including Last-Event-ID if we have one
-      auto request_headers = headers_;
-      if (!last_event_id_.empty()) {
-        request_headers.emplace("Last-Event-ID", last_event_id_);
-      }
-
-      // Open streaming connection
-      auto result = stream::Get(client_, path_, request_headers);
-
-      // Connection error handling
-      if (!result) {
-        connected_.store(false);
-        if (on_error_) { on_error_(result.error()); }
+  // Client and path
+  Client &client_;
+  std::string path_;
+  Headers headers_;
 
-        if (!should_reconnect(reconnect_count)) { break; }
-        wait_for_reconnect();
-        reconnect_count++;
-        continue;
-      }
+  // Callbacks
+  MessageHandler on_message_;
+  std::map<std::string, MessageHandler> event_handlers_;
+  OpenHandler on_open_;
+  ErrorHandler on_error_;
 
-      if (result.status() != 200) {
-        connected_.store(false);
-        // For certain errors, don't reconnect
-        if (result.status() == 204 || // No Content - server wants us to stop
-            result.status() == 404 || // Not Found
-            result.status() == 401 || // Unauthorized
-            result.status() == 403) { // Forbidden
-          if (on_error_) { on_error_(Error::Connection); }
-          break;
-        }
-
-        if (on_error_) { on_error_(Error::Connection); }
-
-        if (!should_reconnect(reconnect_count)) { break; }
-        wait_for_reconnect();
-        reconnect_count++;
-        continue;
-      }
+  // Configuration
+  int reconnect_interval_ms_ = 3000;
+  int max_reconnect_attempts_ = 0; // 0 = unlimited
 
-      // Connection successful
-      connected_.store(true);
-      reconnect_count = 0;
-      if (on_open_) { on_open_(); }
+  // State
+  std::atomic<bool> running_{false};
+  std::atomic<bool> connected_{false};
+  std::string last_event_id_;
 
-      // Event receiving loop
-      std::string buffer;
-      SSEMessage current_msg;
+  // Async support
+  std::thread async_thread_;
+};
 
-      while (running_.load() && result.next()) {
-        buffer.append(result.data(), result.size());
+} // namespace sse
 
-        // Process complete lines in the buffer
-        size_t line_start = 0;
-        size_t newline_pos;
+namespace ws {
 
-        while ((newline_pos = buffer.find('\n', line_start)) !=
-               std::string::npos) {
-          auto line = buffer.substr(line_start, newline_pos - line_start);
-          line_start = newline_pos + 1;
+enum class Opcode : uint8_t {
+  Continuation = 0x0,
+  Text = 0x1,
+  Binary = 0x2,
+  Close = 0x8,
+  Ping = 0x9,
+  Pong = 0xA,
+};
 
-          // Parse the line and check if event is complete
-          auto event_complete =
-              parse_sse_line(line, current_msg, reconnect_interval_ms_);
+enum class CloseStatus : uint16_t {
+  Normal = 1000,
+  GoingAway = 1001,
+  ProtocolError = 1002,
+  UnsupportedData = 1003,
+  NoStatus = 1005,
+  Abnormal = 1006,
+  InvalidPayload = 1007,
+  PolicyViolation = 1008,
+  MessageTooBig = 1009,
+  MandatoryExtension = 1010,
+  InternalError = 1011,
+};
 
-          if (event_complete && !current_msg.data.empty()) {
-            // Update last_event_id for reconnection
-            if (!current_msg.id.empty()) { last_event_id_ = current_msg.id; }
+enum ReadResult : int { Fail = 0, Text = 1, Binary = 2 };
 
-            // Dispatch event to appropriate handler
-            dispatch_event(current_msg);
+class WebSocket {
+public:
+  WebSocket(const WebSocket &) = delete;
+  WebSocket &operator=(const WebSocket &) = delete;
+  ~WebSocket();
+
+  ReadResult read(std::string &msg);
+  bool send(const std::string &data);
+  bool send(const char *data, size_t len);
+  void close(CloseStatus status = CloseStatus::Normal,
+             const std::string &reason = "");
+  const Request &request() const;
+  bool is_open() const;
 
-            current_msg.clear();
-          }
-        }
+private:
+  friend class httplib::Server;
+  friend class WebSocketClient;
 
-        // Keep unprocessed data in buffer
-        buffer.erase(0, line_start);
-      }
+  WebSocket(Stream &strm, const Request &req, bool is_server)
+      : strm_(strm), req_(req), is_server_(is_server) {
+    start_heartbeat();
+  }
 
-      // Connection ended
-      connected_.store(false);
+  WebSocket(std::unique_ptr<Stream> &&owned_strm, const Request &req,
+            bool is_server)
+      : strm_(*owned_strm), owned_strm_(std::move(owned_strm)), req_(req),
+        is_server_(is_server) {
+    start_heartbeat();
+  }
 
-      if (!running_.load()) { break; }
+  void start_heartbeat();
+  bool send_frame(Opcode op, const char *data, size_t len, bool fin = true);
 
-      // Check for read errors
-      if (result.has_read_error()) {
-        if (on_error_) { on_error_(result.read_error()); }
-      }
+  Stream &strm_;
+  std::unique_ptr<Stream> owned_strm_;
+  Request req_;
+  bool is_server_;
+  std::atomic<bool> closed_{false};
+  std::mutex write_mutex_;
+  std::thread ping_thread_;
+  std::mutex ping_mutex_;
+  std::condition_variable ping_cv_;
+};
 
-      if (!should_reconnect(reconnect_count)) { break; }
-      wait_for_reconnect();
-      reconnect_count++;
-    }
+class WebSocketClient {
+public:
+  explicit WebSocketClient(const std::string &scheme_host_port_path,
+                           const Headers &headers = {});
 
-    connected_.store(false);
-  }
+  ~WebSocketClient();
+  WebSocketClient(const WebSocketClient &) = delete;
+  WebSocketClient &operator=(const WebSocketClient &) = delete;
 
-  // Dispatch event to appropriate handler
-  void dispatch_event(const SSEMessage &msg) {
-    // Check for specific event type handler first
-    auto it = event_handlers_.find(msg.event);
-    if (it != event_handlers_.end()) {
-      it->second(msg);
-      return;
-    }
+  bool is_valid() const;
 
-    // Fall back to generic message handler
-    if (on_message_) { on_message_(msg); }
-  }
+  bool connect();
+  ReadResult read(std::string &msg);
+  bool send(const std::string &data);
+  bool send(const char *data, size_t len);
+  void close(CloseStatus status = CloseStatus::Normal,
+             const std::string &reason = "");
+  bool is_open() const;
+  const std::string &subprotocol() const;
+  void set_read_timeout(time_t sec, time_t usec = 0);
+  void set_write_timeout(time_t sec, time_t usec = 0);
 
-  // Check if we should attempt to reconnect
-  bool should_reconnect(int count) const {
-    if (!running_.load()) { return false; }
-    if (max_reconnect_attempts_ == 0) { return true; } // unlimited
-    return count < max_reconnect_attempts_;
-  }
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  void set_ca_cert_path(const std::string &path);
+  void set_ca_cert_store(tls::ca_store_t store);
+  void enable_server_certificate_verification(bool enabled);
+#endif
 
-  // Wait for reconnect interval
-  void wait_for_reconnect() {
-    // Use small increments to check running_ flag frequently
-    auto waited = 0;
-    while (running_.load() && waited < reconnect_interval_ms_) {
-      std::this_thread::sleep_for(std::chrono::milliseconds(100));
-      waited += 100;
-    }
-  }
+private:
+  void shutdown_and_close();
+  bool create_stream(std::unique_ptr<Stream> &strm);
 
-  // Client and path
-  Client &client_;
+  std::string host_;
+  int port_;
   std::string path_;
   Headers headers_;
+  std::string subprotocol_;
+  bool is_valid_ = false;
+  socket_t sock_ = INVALID_SOCKET;
+  std::unique_ptr<WebSocket> ws_;
+  time_t read_timeout_sec_ = CPPHTTPLIB_WEBSOCKET_READ_TIMEOUT_SECOND;
+  time_t read_timeout_usec_ = 0;
+  time_t write_timeout_sec_ = CPPHTTPLIB_CLIENT_WRITE_TIMEOUT_SECOND;
+  time_t write_timeout_usec_ = CPPHTTPLIB_CLIENT_WRITE_TIMEOUT_USECOND;
 
-  // Callbacks
-  MessageHandler on_message_;
-  std::map<std::string, MessageHandler> event_handlers_;
-  OpenHandler on_open_;
-  ErrorHandler on_error_;
+#ifdef CPPHTTPLIB_SSL_ENABLED
+  bool is_ssl_ = false;
+  tls::ctx_t tls_ctx_ = nullptr;
+  tls::session_t tls_session_ = nullptr;
+  std::string ca_cert_file_path_;
+  tls::ca_store_t ca_cert_store_ = nullptr;
+  bool server_certificate_verification_ = true;
+#endif
+};
 
-  // Configuration
-  int reconnect_interval_ms_ = 3000;
-  int max_reconnect_attempts_ = 0; // 0 = unlimited
+namespace impl {
 
-  // State
-  std::atomic<bool> running_{false};
-  std::atomic<bool> connected_{false};
-  std::string last_event_id_;
+bool is_valid_utf8(const std::string &s);
 
-  // Async support
-  std::thread async_thread_;
-};
+bool read_websocket_frame(Stream &strm, Opcode &opcode, std::string &payload,
+                          bool &fin, bool expect_masked, size_t max_len);
 
-} // namespace sse
+} // namespace impl
 
+} // namespace ws
 
 
 } // namespace httplib
diff --git a/vendor/miniaudio/miniaudio.h b/vendor/miniaudio/miniaudio.h
index 2f5b9c4eaf3..c6d493ee81f 100644
--- a/vendor/miniaudio/miniaudio.h
+++ b/vendor/miniaudio/miniaudio.h
@@ -1,6 +1,6 @@
 /*
 Audio playback and capture library. Choice of public domain or MIT-0. See license statements at the end of this file.
-miniaudio - v0.11.24 - TBD
+miniaudio - v0.11.25 - 2026-03-04
 
 David Reid - mackron@gmail.com
 
@@ -3747,7 +3747,7 @@ extern "C" {
 
 #define MA_VERSION_MAJOR    0
 #define MA_VERSION_MINOR    11
-#define MA_VERSION_REVISION 24
+#define MA_VERSION_REVISION 25
 #define MA_VERSION_STRING   MA_XSTRINGIFY(MA_VERSION_MAJOR) "." MA_XSTRINGIFY(MA_VERSION_MINOR) "." MA_XSTRINGIFY(MA_VERSION_REVISION)
 
 #if defined(_MSC_VER) && !defined(__clang__)
@@ -3858,7 +3858,7 @@ typedef ma_uint16 wchar_t;
 
 
 /* Platform/backend detection. */
-#if defined(_WIN32) || defined(__COSMOPOLITAN__)
+#if defined(_WIN32)
     #define MA_WIN32
     #if defined(MA_FORCE_UWP) || (defined(WINAPI_FAMILY) && ((defined(WINAPI_FAMILY_PC_APP) && WINAPI_FAMILY == WINAPI_FAMILY_PC_APP) || (defined(WINAPI_FAMILY_PHONE_APP) && WINAPI_FAMILY == WINAPI_FAMILY_PHONE_APP)))
         #define MA_WIN32_UWP
@@ -4182,9 +4182,13 @@ typedef enum
     MA_CHANNEL_AUX_29             = 49,
     MA_CHANNEL_AUX_30             = 50,
     MA_CHANNEL_AUX_31             = 51,
+
+    /* Count. */
+    MA_CHANNEL_POSITION_COUNT,
+
+    /* Aliases. */
     MA_CHANNEL_LEFT               = MA_CHANNEL_FRONT_LEFT,
     MA_CHANNEL_RIGHT              = MA_CHANNEL_FRONT_RIGHT,
-    MA_CHANNEL_POSITION_COUNT     = (MA_CHANNEL_AUX_31 + 1)
 } _ma_channel_position; /* Do not use `_ma_channel_position` directly. Use `ma_channel` instead. */
 
 typedef enum
@@ -6604,16 +6608,12 @@ This section contains the APIs for device playback and capture. Here is where yo
     #if defined(MA_WIN32_DESKTOP)   /* DirectSound and WinMM backends are only supported on desktops. */
         #define MA_SUPPORT_DSOUND
         #define MA_SUPPORT_WINMM
-
-        /* Don't enable JACK here if compiling with Cosmopolitan. It'll be enabled in the Linux section below. */
-        #if !defined(__COSMOPOLITAN__)
-            #define MA_SUPPORT_JACK    /* JACK is technically supported on Windows, but I don't know how many people use it in practice... */
-        #endif
+        #define MA_SUPPORT_JACK     /* JACK is technically supported on Windows, but I don't know how many people use it in practice... */
     #endif
 #endif
 #if defined(MA_UNIX) && !defined(MA_ORBIS) && !defined(MA_PROSPERO)
     #if defined(MA_LINUX)
-        #if !defined(MA_ANDROID) && !defined(__COSMOPOLITAN__)   /* ALSA is not supported on Android. */
+        #if !defined(MA_ANDROID) && !defined(MA_EMSCRIPTEN)   /* ALSA is not supported on Android. */
             #define MA_SUPPORT_ALSA
         #endif
     #endif
@@ -10520,6 +10520,7 @@ typedef struct
     ma_decoding_backend_vtable** ppCustomDecodingBackendVTables;
     ma_uint32 customDecodingBackendCount;
     void* pCustomDecodingBackendUserData;
+    ma_resampler_config resampling;
 } ma_resource_manager_config;
 
 MA_API ma_resource_manager_config ma_resource_manager_config_init(void);
@@ -10847,6 +10848,7 @@ MA_API ma_result ma_node_graph_read_pcm_frames(ma_node_graph* pNodeGraph, void*
 MA_API ma_uint32 ma_node_graph_get_channels(const ma_node_graph* pNodeGraph);
 MA_API ma_uint64 ma_node_graph_get_time(const ma_node_graph* pNodeGraph);
 MA_API ma_result ma_node_graph_set_time(ma_node_graph* pNodeGraph, ma_uint64 globalTime);
+MA_API ma_uint32 ma_node_graph_get_processing_size_in_frames(const ma_node_graph* pNodeGraph);
 
 
 
@@ -11154,6 +11156,7 @@ typedef struct
     ma_bool8 isPitchDisabled;           /* Pitching can be explicitly disabled with MA_SOUND_FLAG_NO_PITCH to optimize processing. */
     ma_bool8 isSpatializationDisabled;  /* Spatialization can be explicitly disabled with MA_SOUND_FLAG_NO_SPATIALIZATION. */
     ma_uint8 pinnedListenerIndex;       /* The index of the listener this node should always use for spatialization. If set to MA_LISTENER_INDEX_CLOSEST the engine will use the closest listener. */
+    ma_resampler_config resampling;
 } ma_engine_node_config;
 
 MA_API ma_engine_node_config ma_engine_node_config_init(ma_engine* pEngine, ma_engine_node_type type, ma_uint32 flags);
@@ -11168,7 +11171,7 @@ typedef struct
     ma_uint32 volumeSmoothTimeInPCMFrames;
     ma_mono_expansion_mode monoExpansionMode;
     ma_fader fader;
-    ma_linear_resampler resampler;                      /* For pitch shift. */
+    ma_resampler resampler;                             /* For pitch shift. */
     ma_spatializer spatializer;
     ma_panner panner;
     ma_gainer volumeGainer;                             /* This will only be used if volumeSmoothTimeInPCMFrames is > 0. */
@@ -11224,6 +11227,7 @@ typedef struct
     ma_uint64 loopPointEndInPCMFrames;
     ma_sound_end_proc endCallback;              /* Fired when the sound reaches the end. Will be fired from the audio thread. Do not restart, uninitialize or otherwise change the state of the sound from here. Instead fire an event or set a variable to indicate to a different thread to change the start of the sound. Will not be fired in response to a scheduled stop with ma_sound_set_stop_time_*(). */
     void* pEndCallbackUserData;
+    ma_resampler_config pitchResampling;
 #ifndef MA_NO_RESOURCE_MANAGER
     ma_resource_manager_pipeline_notifications initNotifications;
 #endif
@@ -11242,7 +11246,10 @@ struct ma_sound
     MA_ATOMIC(4, ma_bool32) atEnd;
     ma_sound_end_proc endCallback;
     void* pEndCallbackUserData;
-    ma_bool8 ownsDataSource;
+    float* pProcessingCache;            /* Will be null if pDataSource is null. */
+    ma_uint32 processingCacheFramesRemaining;
+    ma_uint32 processingCacheCap;
+    ma_bool8 ownsDataSource;    
 
     /*
     We're declaring a resource manager data source object here to save us a malloc when loading a
@@ -11300,6 +11307,8 @@ typedef struct
     ma_vfs* pResourceManagerVFS;                    /* A pointer to a pre-allocated VFS object to use with the resource manager. This is ignored if pResourceManager is not NULL. */
     ma_engine_process_proc onProcess;               /* Fired at the end of each call to ma_engine_read_pcm_frames(). For engine's that manage their own internal device (the default configuration), this will be fired from the audio thread, and you do not need to call ma_engine_read_pcm_frames() manually in order to trigger this. */
     void* pProcessUserData;                         /* User data that's passed into onProcess. */
+    ma_resampler_config resourceManagerResampling;  /* The resampling config to use with the resource manager. */
+    ma_resampler_config pitchResampling;            /* The resampling config for the pitch and Doppler effects. You will typically want this to be a fast resampler. For high quality stuff, it's recommended that you pre-resample. */
 } ma_engine_config;
 
 MA_API ma_engine_config ma_engine_config_init(void);
@@ -11329,6 +11338,7 @@ struct ma_engine
     ma_mono_expansion_mode monoExpansionMode;
     ma_engine_process_proc onProcess;
     void* pProcessUserData;
+    ma_resampler_config pitchResamplingConfig;
 };
 
 MA_API ma_result ma_engine_init(const ma_engine_config* pConfig, ma_engine* pEngine);
@@ -11389,8 +11399,12 @@ MA_API ma_engine* ma_sound_get_engine(const ma_sound* pSound);
 MA_API ma_data_source* ma_sound_get_data_source(const ma_sound* pSound);
 MA_API ma_result ma_sound_start(ma_sound* pSound);
 MA_API ma_result ma_sound_stop(ma_sound* pSound);
-MA_API ma_result ma_sound_stop_with_fade_in_pcm_frames(ma_sound* pSound, ma_uint64 fadeLengthInFrames);     /* Will overwrite any scheduled stop and fade. */
-MA_API ma_result ma_sound_stop_with_fade_in_milliseconds(ma_sound* pSound, ma_uint64 fadeLengthInFrames);   /* Will overwrite any scheduled stop and fade. */
+MA_API ma_result ma_sound_stop_with_fade_in_pcm_frames(ma_sound* pSound, ma_uint64 fadeLengthInFrames);     /* Will overwrite any scheduled stop and fade. If you want to restart the sound, first reset it with `ma_sound_reset_stop_time_and_fade()`. There are plans to make this less awkward in the future. */
+MA_API ma_result ma_sound_stop_with_fade_in_milliseconds(ma_sound* pSound, ma_uint64 fadeLengthInFrames);   /* Will overwrite any scheduled stop and fade. If you want to restart the sound, first reset it with `ma_sound_reset_stop_time_and_fade()`. There are plans to make this less awkward in the future. */
+MA_API void ma_sound_reset_start_time(ma_sound* pSound);
+MA_API void ma_sound_reset_stop_time(ma_sound* pSound);
+MA_API void ma_sound_reset_fade(ma_sound* pSound);
+MA_API void ma_sound_reset_stop_time_and_fade(ma_sound* pSound);  /* Resets fades and scheduled stop time. Does not seek back to the start. */
 MA_API void ma_sound_set_volume(ma_sound* pSound, float volume);
 MA_API float ma_sound_get_volume(const ma_sound* pSound);
 MA_API void ma_sound_set_pan(ma_sound* pSound, float pan);
@@ -11643,7 +11657,7 @@ IMPLEMENTATION
 #endif
 
 /* Intrinsics Support */
-#if (defined(MA_X64) || defined(MA_X86)) && !defined(__COSMOPOLITAN__)
+#if defined(MA_X64) || defined(MA_X86)
     #if defined(_MSC_VER) && !defined(__clang__)
         /* MSVC. */
         #if _MSC_VER >= 1400 && !defined(MA_NO_SSE2)   /* 2005 */
@@ -12080,7 +12094,7 @@ static MA_INLINE unsigned int ma_disable_denormals(void)
     }
     #elif defined(MA_X86) || defined(MA_X64)
     {
-        #if defined(MA_SUPPORT_SSE2) && defined(__SSE2__) && !(defined(__TINYC__) || defined(__WATCOMC__) || defined(__COSMOPOLITAN__)) /* <-- Add compilers that lack support for _mm_getcsr() and _mm_setcsr() to this list. */
+        #if defined(MA_SUPPORT_SSE2) && defined(__SSE2__) && !(defined(__TINYC__) || defined(__WATCOMC__)) /* <-- Add compilers that lack support for _mm_getcsr() and _mm_setcsr() to this list. */
         {
             prevState = _mm_getcsr();
             _mm_setcsr(prevState | MA_MM_DENORMALS_ZERO_MASK | MA_MM_FLUSH_ZERO_MASK);
@@ -12120,7 +12134,7 @@ static MA_INLINE void ma_restore_denormals(unsigned int prevState)
     }
     #elif defined(MA_X86) || defined(MA_X64)
     {
-        #if defined(MA_SUPPORT_SSE2) && defined(__SSE2__) && !(defined(__TINYC__) || defined(__WATCOMC__) || defined(__COSMOPOLITAN__))   /* <-- Add compilers that lack support for _mm_getcsr() and _mm_setcsr() to this list. */
+        #if defined(MA_SUPPORT_SSE2) && defined(__SSE2__) && !(defined(__TINYC__) || defined(__WATCOMC__))   /* <-- Add compilers that lack support for _mm_getcsr() and _mm_setcsr() to this list. */
         {
             _mm_setcsr(prevState);
         }
@@ -17616,7 +17630,7 @@ static ma_result ma_thread_create__posix(ma_thread* pThread, ma_thread_priority
             int priorityStep = (priorityMax - priorityMin) / 7;  /* 7 = number of priorities supported by miniaudio. */
 
             struct sched_param sched;
-            if (pthread_attr_getschedparam(&attr, &sched) == 0) {
+            if (priorityMin != -1 && priorityMax != -1 && pthread_attr_getschedparam(&attr, &sched) == 0) {
                 if (priority == ma_thread_priority_idle) {
                     sched.sched_priority = priorityMin;
                 } else if (priority == ma_thread_priority_realtime) {
@@ -19344,7 +19358,7 @@ MA_API ma_handle ma_dlopen(ma_log* pLog, const char* filename)
             #else
                 /* *sigh* It appears there is no ANSI version of LoadPackagedLibrary()... */
                 WCHAR filenameW[4096];
-                if (MultiByteToWideChar(CP_UTF8, 0, filename, -1, filenameW, sizeof(filenameW)) == 0) {
+                if (MultiByteToWideChar(CP_UTF8, 0, filename, -1, filenameW, ma_countof(filenameW)) == 0) {
                     handle = NULL;
                 } else {
                     handle = (ma_handle)LoadPackagedLibrary(filenameW, 0);
@@ -20073,7 +20087,7 @@ Timing
             struct timespec newTime;
             clock_gettime(MA_CLOCK_ID, &newTime);
 
-            pTimer->counter = (newTime.tv_sec * 1000000000) + newTime.tv_nsec;
+            pTimer->counter = ((ma_int64)newTime.tv_sec * 1000000000) + newTime.tv_nsec;
         }
 
         static MA_INLINE double ma_timer_get_time_in_seconds(ma_timer* pTimer)
@@ -20084,7 +20098,7 @@ Timing
             struct timespec newTime;
             clock_gettime(MA_CLOCK_ID, &newTime);
 
-            newTimeCounter = (newTime.tv_sec * 1000000000) + newTime.tv_nsec;
+            newTimeCounter = ((ma_uint64)newTime.tv_sec * 1000000000) + newTime.tv_nsec;
             oldTimeCounter = pTimer->counter;
 
             return (newTimeCounter - oldTimeCounter) / 1000000000.0;
@@ -20095,7 +20109,7 @@ Timing
             struct timeval newTime;
             gettimeofday(&newTime, NULL);
 
-            pTimer->counter = (newTime.tv_sec * 1000000) + newTime.tv_usec;
+            pTimer->counter = ((ma_int64)newTime.tv_sec * 1000000) + newTime.tv_usec;
         }
 
         static MA_INLINE double ma_timer_get_time_in_seconds(ma_timer* pTimer)
@@ -20106,7 +20120,7 @@ Timing
             struct timeval newTime;
             gettimeofday(&newTime, NULL);
 
-            newTimeCounter = (newTime.tv_sec * 1000000) + newTime.tv_usec;
+            newTimeCounter = ((ma_uint64)newTime.tv_sec * 1000000) + newTime.tv_usec;
             oldTimeCounter = pTimer->counter;
 
             return (newTimeCounter - oldTimeCounter) / 1000000.0;
@@ -31228,6 +31242,7 @@ static ma_result ma_init_pa_mainloop_and_pa_context__pulse(ma_context* pContext,
     result = ma_result_from_pulse(((ma_pa_context_connect_proc)pContext->pulse.pa_context_connect)((ma_pa_context*)pPulseContext, pServerName, (tryAutoSpawn) ? MA_PA_CONTEXT_NOFLAGS : MA_PA_CONTEXT_NOAUTOSPAWN, NULL));
     if (result != MA_SUCCESS) {
         ma_log_postf(ma_context_get_log(pContext), MA_LOG_LEVEL_ERROR, "[PulseAudio] Failed to connect PulseAudio context.");
+        ((ma_pa_context_unref_proc)pContext->pulse.pa_context_unref)((ma_pa_context*)(pPulseContext));
         ((ma_pa_mainloop_free_proc)pContext->pulse.pa_mainloop_free)((ma_pa_mainloop*)(pMainLoop));
         return result;
     }
@@ -31236,6 +31251,7 @@ static ma_result ma_init_pa_mainloop_and_pa_context__pulse(ma_context* pContext,
     result = ma_wait_for_pa_context_to_connect__pulse(pContext, pMainLoop, pPulseContext);
     if (result != MA_SUCCESS) {
         ma_log_postf(ma_context_get_log(pContext), MA_LOG_LEVEL_ERROR, "[PulseAudio] Waiting for connection failed.");
+        ((ma_pa_context_unref_proc)pContext->pulse.pa_context_unref)((ma_pa_context*)(pPulseContext));
         ((ma_pa_mainloop_free_proc)pContext->pulse.pa_mainloop_free)((ma_pa_mainloop*)(pMainLoop));
         return result;
     }
@@ -41479,18 +41495,37 @@ Web Audio Backend
 #ifdef MA_HAS_WEBAUDIO
 #include <emscripten/emscripten.h>
 
-#if (__EMSCRIPTEN_major__ > 3) || (__EMSCRIPTEN_major__ == 3 && (__EMSCRIPTEN_minor__ > 1 || (__EMSCRIPTEN_minor__ == 1 && __EMSCRIPTEN_tiny__ >= 32)))
+#ifndef MA_EMSCRIPTEN_MAJOR
+    #if defined(__EMSCRIPTEN_MAJOR__)
+        #define MA_EMSCRIPTEN_MAJOR __EMSCRIPTEN_MAJOR__
+    #else
+        #define MA_EMSCRIPTEN_MAJOR __EMSCRIPTEN_major__
+    #endif
+#endif
+#ifndef MA_EMSCRIPTEN_MINOR
+    #if defined(__EMSCRIPTEN_MINOR__)
+        #define MA_EMSCRIPTEN_MINOR __EMSCRIPTEN_MINOR__
+    #else
+        #define MA_EMSCRIPTEN_MINOR __EMSCRIPTEN_minor__
+    #endif
+#endif
+#ifndef MA_EMSCRIPTEN_TINY
+    #if defined(__EMSCRIPTEN_TINY__)
+        #define MA_EMSCRIPTEN_TINY __EMSCRIPTEN_TINY__
+    #else
+        #define MA_EMSCRIPTEN_TINY __EMSCRIPTEN_tiny__
+    #endif
+#endif
+
+#if (MA_EMSCRIPTEN_MAJOR > 3) || (MA_EMSCRIPTEN_MAJOR == 3 && (MA_EMSCRIPTEN_MINOR > 1 || (MA_EMSCRIPTEN_MINOR == 1 && MA_EMSCRIPTEN_TINY >= 32)))
     #include <emscripten/webaudio.h>
     #define MA_SUPPORT_AUDIO_WORKLETS
 
-    #if (__EMSCRIPTEN_major__ > 3) || (__EMSCRIPTEN_major__ == 3 && (__EMSCRIPTEN_minor__ > 1 || (__EMSCRIPTEN_minor__ == 1 && __EMSCRIPTEN_tiny__ >= 70)))
+    #if (MA_EMSCRIPTEN_MAJOR > 3) || (MA_EMSCRIPTEN_MAJOR == 3 && (MA_EMSCRIPTEN_MINOR > 1 || (MA_EMSCRIPTEN_MINOR == 1 && MA_EMSCRIPTEN_TINY >= 70)))
         #define MA_SUPPORT_AUDIO_WORKLETS_VARIABLE_BUFFER_SIZE
     #endif
 #endif
 
-/*
-TODO: Version 0.12: Swap this logic around so that AudioWorklets are used by default. Add MA_NO_AUDIO_WORKLETS.
-*/
 #if defined(MA_ENABLE_AUDIO_WORKLETS) && defined(MA_SUPPORT_AUDIO_WORKLETS)
     #define MA_USE_AUDIO_WORKLETS
 #endif
@@ -41747,8 +41782,11 @@ static EM_BOOL ma_audio_worklet_process_callback__webaudio(int inputCount, const
         frameCount = pDevice->capture.internalPeriodSizeInFrames;
     }
 
+    /*
+    If this is called by the device has not yet been started we need to return early, making sure we output silence to
+    the output buffer.
+    */
     if (ma_device_get_state(pDevice) != ma_device_state_started) {
-        /* Fill the output buffer with zero to avoid a noise sound */
         for (int i = 0; i < outputCount; i += 1) {
             MA_ZERO_MEMORY(pOutputs[i].data, pOutputs[i].numberOfChannels * frameCount * sizeof(float));
         }
@@ -41770,7 +41808,9 @@ static EM_BOOL ma_audio_worklet_process_callback__webaudio(int inputCount, const
     if (outputCount > 0) {
         /* If it's a capture-only device, we'll need to output silence. */
         if (pDevice->type == ma_device_type_capture) {
-            MA_ZERO_MEMORY(pOutputs[0].data, frameCount * pDevice->playback.internalChannels * sizeof(float));
+            for (int i = 0; i < outputCount; i += 1) {
+                MA_ZERO_MEMORY(pOutputs[i].data, pOutputs[i].numberOfChannels * frameCount * sizeof(float));
+            }
         } else {
             ma_device_process_pcm_frames_playback__webaudio(pDevice, frameCount, pDevice->webaudio.pIntermediaryBuffer);
 
@@ -41780,6 +41820,14 @@ static EM_BOOL ma_audio_worklet_process_callback__webaudio(int inputCount, const
                     pOutputs[0].data[frameCount*iChannel + iFrame] = pDevice->webaudio.pIntermediaryBuffer[iFrame*pDevice->playback.internalChannels + iChannel];
                 }
             }
+
+            /*
+            Just above we output data to the first output buffer. Here we just make sure we're putting silence into any
+            remaining output buffers.
+            */
+            for (int i = 1; i < outputCount; i += 1) {  /* <-- Note that the counter starts at 1 instead of 0. */
+                MA_ZERO_MEMORY(pOutputs[i].data, pOutputs[i].numberOfChannels * frameCount * sizeof(float));
+            }
         }
     }
 
@@ -50850,15 +50898,15 @@ static /*__attribute__((noinline))*/ ma_result ma_gainer_process_pcm_frames_inte
                     a += d;
                 }
             }
+
+            pFramesOut = ma_offset_ptr(pFramesOut, interpolatedFrameCount * sizeof(float));
+            pFramesIn  = ma_offset_ptr(pFramesIn,  interpolatedFrameCount * sizeof(float));
         }
 
+        frameCount -= interpolatedFrameCount;
+
         /* Make sure the timer is updated. */
         pGainer->t = (ma_uint32)ma_min(pGainer->t + interpolatedFrameCount, pGainer->config.smoothTimeInFrames);
-
-        /* Adjust our arguments so the next part can work normally. */
-        frameCount -= interpolatedFrameCount;
-        pFramesOut  = ma_offset_ptr(pFramesOut, interpolatedFrameCount * sizeof(float));
-        pFramesIn   = ma_offset_ptr(pFramesIn,  interpolatedFrameCount * sizeof(float));
     }
 
     /* All we need to do here is apply the new gains using an optimized path. */
@@ -52286,13 +52334,16 @@ static float ma_calculate_angular_gain(ma_vec3f dirA, ma_vec3f dirB, float coneI
 
 MA_API ma_result ma_spatializer_process_pcm_frames(ma_spatializer* pSpatializer, ma_spatializer_listener* pListener, void* pFramesOut, const void* pFramesIn, ma_uint64 frameCount)
 {
-    ma_channel* pChannelMapIn  = pSpatializer->pChannelMapIn;
-    ma_channel* pChannelMapOut = pListener->config.pChannelMapOut;
+    ma_channel* pChannelMapIn;
+    ma_channel* pChannelMapOut;
 
-    if (pSpatializer == NULL) {
+    if (pSpatializer == NULL || pListener == NULL) {
         return MA_INVALID_ARGS;
     }
 
+    pChannelMapIn = pSpatializer->pChannelMapIn;
+    pChannelMapOut = pListener->config.pChannelMapOut;
+
     /* If we're not spatializing we need to run an optimized path. */
     if (ma_atomic_load_i32(&pSpatializer->attenuationModel) == ma_attenuation_model_none) {
         if (ma_spatializer_listener_is_enabled(pListener)) {
@@ -52337,23 +52388,17 @@ MA_API ma_result ma_spatializer_process_pcm_frames(ma_spatializer* pSpatializer,
         We'll need the listener velocity for doppler pitch calculations. The speed of sound is
         defined by the listener, so we'll grab that here too.
         */
-        if (pListener != NULL) {
-            listenerVel  = ma_spatializer_listener_get_velocity(pListener);
-            speedOfSound = pListener->config.speedOfSound;
-        } else {
-            listenerVel  = ma_vec3f_init_3f(0, 0, 0);
-            speedOfSound = MA_DEFAULT_SPEED_OF_SOUND;
-        }
+        listenerVel  = ma_spatializer_listener_get_velocity(pListener);
+        speedOfSound = pListener->config.speedOfSound;
 
-        if (pListener == NULL || ma_spatializer_get_positioning(pSpatializer) == ma_positioning_relative) {
-            /* There's no listener or we're using relative positioning. */
+        if (ma_spatializer_get_positioning(pSpatializer) == ma_positioning_relative) {
             relativePos = ma_spatializer_get_position(pSpatializer);
             relativeDir = ma_spatializer_get_direction(pSpatializer);
         } else {
             /*
-            We've found a listener and we're using absolute positioning. We need to transform the
-            sound's position and direction so that it's relative to listener. Later on we'll use
-            this for determining the factors to apply to each channel to apply the panning effect.
+            We're using absolute positioning. We need to transform the sound's position and
+            direction so that it's relative to listener. Later on we'll use this for determining
+            the factors to apply to each channel to apply the panning effect.
             */
             ma_spatializer_get_relative_position_and_direction(pSpatializer, pListener, &relativePos, &relativeDir);
         }
@@ -54388,7 +54433,7 @@ static ma_bool32 ma_is_spatial_channel_position(ma_channel channelPosition)
         return MA_FALSE;
     }
 
-    if (channelPosition >= MA_CHANNEL_AUX_0 && channelPosition <= MA_CHANNEL_AUX_31) {
+    if (channelPosition >= MA_CHANNEL_AUX_0) {
         return MA_FALSE;
     }
 
@@ -59217,6 +59262,10 @@ static ma_result ma_data_source_read_pcm_frames_within_range(ma_data_source* pDa
     ma_uint64 framesRead = 0;
     ma_bool32 loop = ma_data_source_is_looping(pDataSource);
 
+    if (pFramesRead != NULL) {
+        *pFramesRead = 0;
+    }
+
     if (pDataSourceBase == NULL) {
         return MA_AT_END;
     }
@@ -61676,7 +61725,6 @@ static ma_result ma_default_vfs_info(ma_vfs* pVFS, ma_vfs_file file, ma_file_inf
 
     if (result == MA_NOT_IMPLEMENTED) {
         /* Not implemented. Fall back to seek/tell/seek. */
-        ma_result result;
         ma_int64 cursor;
         ma_int64 sizeInBytes;
         
@@ -61884,6 +61932,8 @@ Decoding and Encoding Headers. These are auto-generated from a tool.
 
 **************************************************************************************************************************************************************/
 #if !defined(MA_NO_WAV) && (!defined(MA_NO_DECODING) || !defined(MA_NO_ENCODING))
+#define MA_HAS_WAV
+
 /* dr_wav_h begin */
 #ifndef ma_dr_wav_h
 #define ma_dr_wav_h
@@ -61894,7 +61944,7 @@ extern "C" {
 #define MA_DR_WAV_XSTRINGIFY(x)     MA_DR_WAV_STRINGIFY(x)
 #define MA_DR_WAV_VERSION_MAJOR     0
 #define MA_DR_WAV_VERSION_MINOR     14
-#define MA_DR_WAV_VERSION_REVISION  1
+#define MA_DR_WAV_VERSION_REVISION  5
 #define MA_DR_WAV_VERSION_STRING    MA_DR_WAV_XSTRINGIFY(MA_DR_WAV_VERSION_MAJOR) "." MA_DR_WAV_XSTRINGIFY(MA_DR_WAV_VERSION_MINOR) "." MA_DR_WAV_XSTRINGIFY(MA_DR_WAV_VERSION_REVISION)
 #include <stddef.h>
 #define MA_DR_WAVE_FORMAT_PCM          0x1
@@ -62317,6 +62367,8 @@ MA_API ma_bool32 ma_dr_wav_fourcc_equal(const ma_uint8* a, const char* b);
 #endif  /* MA_NO_WAV */
 
 #if !defined(MA_NO_FLAC) && !defined(MA_NO_DECODING)
+#define MA_HAS_FLAC
+
 /* dr_flac_h begin */
 #ifndef ma_dr_flac_h
 #define ma_dr_flac_h
@@ -62327,7 +62379,7 @@ extern "C" {
 #define MA_DR_FLAC_XSTRINGIFY(x)     MA_DR_FLAC_STRINGIFY(x)
 #define MA_DR_FLAC_VERSION_MAJOR     0
 #define MA_DR_FLAC_VERSION_MINOR     13
-#define MA_DR_FLAC_VERSION_REVISION  2
+#define MA_DR_FLAC_VERSION_REVISION  3
 #define MA_DR_FLAC_VERSION_STRING    MA_DR_FLAC_XSTRINGIFY(MA_DR_FLAC_VERSION_MAJOR) "." MA_DR_FLAC_XSTRINGIFY(MA_DR_FLAC_VERSION_MINOR) "." MA_DR_FLAC_XSTRINGIFY(MA_DR_FLAC_VERSION_REVISION)
 #include <stddef.h>
 #if defined(_MSC_VER) && _MSC_VER >= 1700
@@ -62609,6 +62661,8 @@ MA_API ma_bool32 ma_dr_flac_next_cuesheet_track(ma_dr_flac_cuesheet_track_iterat
 #endif  /* MA_NO_FLAC */
 
 #if !defined(MA_NO_MP3) && !defined(MA_NO_DECODING)
+#define MA_HAS_MP3
+
 #ifndef MA_DR_MP3_NO_SIMD
     #if (defined(MA_NO_NEON) && defined(MA_ARM)) || (defined(MA_NO_SSE2) && (defined(MA_X86) || defined(MA_X64)))
     #define MA_DR_MP3_NO_SIMD
@@ -62625,7 +62679,7 @@ extern "C" {
 #define MA_DR_MP3_XSTRINGIFY(x)     MA_DR_MP3_STRINGIFY(x)
 #define MA_DR_MP3_VERSION_MAJOR     0
 #define MA_DR_MP3_VERSION_MINOR     7
-#define MA_DR_MP3_VERSION_REVISION  2
+#define MA_DR_MP3_VERSION_REVISION  3
 #define MA_DR_MP3_VERSION_STRING    MA_DR_MP3_XSTRINGIFY(MA_DR_MP3_VERSION_MAJOR) "." MA_DR_MP3_XSTRINGIFY(MA_DR_MP3_VERSION_MINOR) "." MA_DR_MP3_XSTRINGIFY(MA_DR_MP3_VERSION_REVISION)
 #include <stddef.h>
 #define MA_DR_MP3_MAX_PCM_FRAMES_PER_MP3_FRAME  1152
@@ -63229,7 +63283,6 @@ static ma_result ma_decoder_init_custom_from_memory__internal(const void* pData,
 
 /* WAV */
 #ifdef ma_dr_wav_h
-#define MA_HAS_WAV
 
 typedef struct
 {
@@ -63935,7 +63988,6 @@ static ma_result ma_decoder_init_wav_from_memory__internal(const void* pData, si
 
 /* FLAC */
 #ifdef ma_dr_flac_h
-#define MA_HAS_FLAC
 
 typedef struct
 {
@@ -64579,7 +64631,6 @@ static ma_result ma_decoder_init_flac_from_memory__internal(const void* pData, s
 
 /* MP3 */
 #ifdef ma_dr_mp3_h
-#define MA_HAS_MP3
 
 typedef struct
 {
@@ -66257,11 +66308,9 @@ static ma_result ma_decoder_init__internal(ma_decoder_read_proc onRead, ma_decod
         We use trial and error to open a decoder. We prioritize custom decoders so that if they
         implement the same encoding format they take priority over the built-in decoders.
         */
+        result = ma_decoder_init_custom__internal(pConfig, pDecoder);
         if (result != MA_SUCCESS) {
-            result = ma_decoder_init_custom__internal(pConfig, pDecoder);
-            if (result != MA_SUCCESS) {
-                onSeek(pDecoder, 0, ma_seek_origin_start);
-            }
+            onSeek(pDecoder, 0, ma_seek_origin_start);
         }
 
         /*
@@ -66525,14 +66574,6 @@ MA_API ma_result ma_decoder_init_memory(const void* pData, size_t dataSize, cons
         /* Initialization was successful. Finish up. */
         result = ma_decoder__postinit(&config, pDecoder);
         if (result != MA_SUCCESS) {
-            /*
-            The backend was initialized successfully, but for some reason post-initialization failed. This is most likely
-            due to an out of memory error. We're going to abort with an error here and not try to recover.
-            */
-            if (pDecoder->pBackendVTable != NULL && pDecoder->pBackendVTable->onUninit != NULL) {
-                pDecoder->pBackendVTable->onUninit(pDecoder->pBackendUserData, &pDecoder->pBackend, &pDecoder->allocationCallbacks);
-            }
-
             return result;
         }
     } else {
@@ -66833,11 +66874,9 @@ MA_API ma_result ma_decoder_init_vfs(ma_vfs* pVFS, const char* pFilePath, const
         We use trial and error to open a decoder. We prioritize custom decoders so that if they
         implement the same encoding format they take priority over the built-in decoders.
         */
+        result = ma_decoder_init_custom__internal(&config, pDecoder);
         if (result != MA_SUCCESS) {
-            result = ma_decoder_init_custom__internal(&config, pDecoder);
-            if (result != MA_SUCCESS) {
-                ma_decoder__on_seek_vfs(pDecoder, 0, ma_seek_origin_start);
-            }
+            ma_decoder__on_seek_vfs(pDecoder, 0, ma_seek_origin_start);
         }
 
         /*
@@ -66966,11 +67005,9 @@ MA_API ma_result ma_decoder_init_vfs_w(ma_vfs* pVFS, const wchar_t* pFilePath, c
         We use trial and error to open a decoder. We prioritize custom decoders so that if they
         implement the same encoding format they take priority over the built-in decoders.
         */
+        result = ma_decoder_init_custom__internal(&config, pDecoder);
         if (result != MA_SUCCESS) {
-            result = ma_decoder_init_custom__internal(&config, pDecoder);
-            if (result != MA_SUCCESS) {
-                ma_decoder__on_seek_vfs(pDecoder, 0, ma_seek_origin_start);
-            }
+            ma_decoder__on_seek_vfs(pDecoder, 0, ma_seek_origin_start);
         }
 
         /*
@@ -67152,14 +67189,6 @@ MA_API ma_result ma_decoder_init_file(const char* pFilePath, const ma_decoder_co
         /* Initialization was successful. Finish up. */
         result = ma_decoder__postinit(&config, pDecoder);
         if (result != MA_SUCCESS) {
-            /*
-            The backend was initialized successfully, but for some reason post-initialization failed. This is most likely
-            due to an out of memory error. We're going to abort with an error here and not try to recover.
-            */
-            if (pDecoder->pBackendVTable != NULL && pDecoder->pBackendVTable->onUninit != NULL) {
-                pDecoder->pBackendVTable->onUninit(pDecoder->pBackendUserData, &pDecoder->pBackend, &pDecoder->allocationCallbacks);
-            }
-
             return result;
         }
     } else {
@@ -67302,14 +67331,6 @@ MA_API ma_result ma_decoder_init_file_w(const wchar_t* pFilePath, const ma_decod
         /* Initialization was successful. Finish up. */
         result = ma_decoder__postinit(&config, pDecoder);
         if (result != MA_SUCCESS) {
-            /*
-            The backend was initialized successfully, but for some reason post-initialization failed. This is most likely
-            due to an out of memory error. We're going to abort with an error here and not try to recover.
-            */
-            if (pDecoder->pBackendVTable != NULL && pDecoder->pBackendVTable->onUninit != NULL) {
-                pDecoder->pBackendVTable->onUninit(pDecoder->pBackendUserData, &pDecoder->pBackend, &pDecoder->allocationCallbacks);
-            }
-
             return result;
         }
     } else {
@@ -69955,6 +69976,7 @@ MA_API ma_resource_manager_config ma_resource_manager_config_init(void)
     config.decodedSampleRate = 0;
     config.jobThreadCount    = 1;   /* A single miniaudio-managed job thread by default. */
     config.jobQueueCapacity  = MA_JOB_TYPE_RESOURCE_MANAGER_QUEUE_CAPACITY;
+    config.resampling        = ma_resampler_config_init(ma_format_unknown, 0, 0, 0, ma_resample_algorithm_linear); /* Format/channels/rate doesn't matter here. */
 
     /* Flags. */
     config.flags = 0;
@@ -70208,6 +70230,7 @@ static ma_decoder_config ma_resource_manager__init_decoder_config(ma_resource_ma
     config.ppCustomBackendVTables = pResourceManager->config.ppCustomDecodingBackendVTables;
     config.customBackendCount     = pResourceManager->config.customDecodingBackendCount;
     config.pCustomBackendUserData = pResourceManager->config.pCustomDecodingBackendUserData;
+    config.resampling = pResourceManager->config.resampling;
 
     return config;
 }
@@ -71533,13 +71556,13 @@ MA_API ma_result ma_resource_manager_data_buffer_get_data_format(ma_resource_man
 
 MA_API ma_result ma_resource_manager_data_buffer_get_cursor_in_pcm_frames(ma_resource_manager_data_buffer* pDataBuffer, ma_uint64* pCursor)
 {
-    /* We cannot be using the data source after it's been uninitialized. */
-    MA_ASSERT(ma_resource_manager_data_buffer_node_result(pDataBuffer->pNode) != MA_UNAVAILABLE);
-
     if (pDataBuffer == NULL || pCursor == NULL) {
         return MA_INVALID_ARGS;
     }
 
+    /* We cannot be using the data source after it's been uninitialized. */
+    MA_ASSERT(ma_resource_manager_data_buffer_node_result(pDataBuffer->pNode) != MA_UNAVAILABLE);
+
     *pCursor = 0;
 
     switch (ma_resource_manager_data_buffer_node_get_data_supply_type(pDataBuffer->pNode))
@@ -71573,13 +71596,13 @@ MA_API ma_result ma_resource_manager_data_buffer_get_cursor_in_pcm_frames(ma_res
 
 MA_API ma_result ma_resource_manager_data_buffer_get_length_in_pcm_frames(ma_resource_manager_data_buffer* pDataBuffer, ma_uint64* pLength)
 {
-    /* We cannot be using the data source after it's been uninitialized. */
-    MA_ASSERT(ma_resource_manager_data_buffer_node_result(pDataBuffer->pNode) != MA_UNAVAILABLE);
-
     if (pDataBuffer == NULL || pLength == NULL) {
         return MA_INVALID_ARGS;
     }
 
+    /* We cannot be using the data source after it's been uninitialized. */
+    MA_ASSERT(ma_resource_manager_data_buffer_node_result(pDataBuffer->pNode) != MA_UNAVAILABLE);
+
     if (ma_resource_manager_data_buffer_node_get_data_supply_type(pDataBuffer->pNode) == ma_resource_manager_data_supply_type_unknown) {
         return MA_BUSY; /* Still loading. */
     }
@@ -72934,8 +72957,6 @@ static ma_result ma_job_process__resource_manager__free_data_buffer_node(ma_job*
         return ma_resource_manager_post_job(pResourceManager, pJob);    /* Out of order. */
     }
 
-    ma_resource_manager_data_buffer_node_free(pResourceManager, pDataBufferNode);
-
     /* The event needs to be signalled last. */
     if (pJob->data.resourceManager.freeDataBufferNode.pDoneNotification != NULL) {
         ma_async_notification_signal(pJob->data.resourceManager.freeDataBufferNode.pDoneNotification);
@@ -72946,6 +72967,9 @@ static ma_result ma_job_process__resource_manager__free_data_buffer_node(ma_job*
     }
 
     ma_atomic_fetch_add_32(&pDataBufferNode->executionPointer, 1);
+
+    ma_resource_manager_data_buffer_node_free(pResourceManager, pDataBufferNode);
+
     return MA_SUCCESS;
 }
 
@@ -73818,6 +73842,15 @@ MA_API ma_result ma_node_graph_set_time(ma_node_graph* pNodeGraph, ma_uint64 glo
     return ma_node_set_time(&pNodeGraph->endpoint, globalTime); /* Global time is just the local time of the endpoint. */
 }
 
+MA_API ma_uint32 ma_node_graph_get_processing_size_in_frames(const ma_node_graph* pNodeGraph)
+{
+    if (pNodeGraph == NULL) {
+        return 0;
+    }
+
+    return pNodeGraph->processingSizeInFrames;
+}
+
 
 #define MA_NODE_OUTPUT_BUS_FLAG_HAS_READ    0x01    /* Whether or not this bus ready to read more data. Only used on nodes with multiple output buses. */
 
@@ -74977,12 +75010,12 @@ MA_API ma_node_state ma_node_get_state_by_time_range(const ma_node* pNode, ma_ui
     its start time not having been reached yet. Also, the stop time may have also been reached in
     which case it'll be considered stopped.
     */
-    if (ma_node_get_state_time(pNode, ma_node_state_started) > globalTimeBeg) {
-        return ma_node_state_stopped;   /* Start time has not yet been reached. */
+    if (ma_node_get_state_time(pNode, ma_node_state_stopped) < globalTimeBeg) {
+        return ma_node_state_stopped;   /* End time is before the start of the range. */
     }
 
-    if (ma_node_get_state_time(pNode, ma_node_state_stopped) <= globalTimeEnd) {
-        return ma_node_state_stopped;   /* Stop time has been reached. */
+    if (ma_node_get_state_time(pNode, ma_node_state_started) > globalTimeEnd) {
+        return ma_node_state_stopped;   /* Start time is after the end of the range. */
     }
 
     /* Getting here means the node is marked as started and is within its start/stop times. */
@@ -75062,14 +75095,14 @@ static ma_result ma_node_read_pcm_frames(ma_node* pNode, ma_uint32 outputBusInde
         return MA_INVALID_ARGS; /* Invalid output bus index. */
     }
 
+    globalTimeBeg = globalTime;
+    globalTimeEnd = globalTime + frameCount;
+
     /* Don't do anything if we're in a stopped state. */
-    if (ma_node_get_state_by_time_range(pNode, globalTime, globalTime + frameCount) != ma_node_state_started) {
+    if (ma_node_get_state_by_time_range(pNode, globalTimeBeg, globalTimeEnd) != ma_node_state_started) {
         return MA_SUCCESS;  /* We're in a stopped state. This is not an error - we just need to not read anything. */
     }
 
-
-    globalTimeBeg = globalTime;
-    globalTimeEnd = globalTime + frameCount;
     startTime = ma_node_get_state_time(pNode, ma_node_state_started);
     stopTime  = ma_node_get_state_time(pNode, ma_node_state_stopped);
 
@@ -75082,11 +75115,16 @@ static ma_result ma_node_read_pcm_frames(ma_node* pNode, ma_uint32 outputBusInde
     therefore need to offset it by a number of frames to accommodate. The same thing applies for
     the stop time.
     */
-    timeOffsetBeg = (globalTimeBeg < startTime) ? (ma_uint32)(globalTimeEnd - startTime) : 0;
+    timeOffsetBeg = (globalTimeBeg < startTime) ? (ma_uint32)(startTime - globalTimeBeg) : 0;
     timeOffsetEnd = (globalTimeEnd > stopTime)  ? (ma_uint32)(globalTimeEnd - stopTime)  : 0;
 
     /* Trim based on the start offset. We need to silence the start of the buffer. */
     if (timeOffsetBeg > 0) {
+        MA_ASSERT(timeOffsetBeg <= frameCount);
+        if (timeOffsetBeg > frameCount) {
+            timeOffsetBeg = frameCount;
+        }
+
         ma_silence_pcm_frames(pFramesOut, timeOffsetBeg, ma_format_f32, ma_node_get_output_channels(pNode, outputBusIndex));
         pFramesOut += timeOffsetBeg * ma_node_get_output_channels(pNode, outputBusIndex);
         frameCount -= timeOffsetBeg;
@@ -75094,6 +75132,11 @@ static ma_result ma_node_read_pcm_frames(ma_node* pNode, ma_uint32 outputBusInde
 
     /* Trim based on the end offset. We don't need to silence the tail section because we'll just have a reduced value written to pFramesRead. */
     if (timeOffsetEnd > 0) {
+        MA_ASSERT(timeOffsetEnd <= frameCount);
+        if (timeOffsetEnd > frameCount) {
+            timeOffsetEnd = frameCount;
+        }
+
         frameCount -= timeOffsetEnd;
     }
 
@@ -76508,12 +76551,20 @@ static void ma_sound_set_at_end(ma_sound* pSound, ma_bool32 atEnd)
     MA_ASSERT(pSound != NULL);
     ma_atomic_exchange_32(&pSound->atEnd, atEnd);
 
+    /*
+    When this function is called the state of the sound will not yet be in a stopped state. This makes it confusing
+    because an end callback will intuitively expect ma_sound_is_playing() to return false from inside the callback.
+    I'm therefore no longer firing the callback here and will instead fire it manually in the *next* processing step
+    when the state should be set to stopped as expected.
+    */
+    #if 0
     /* Fire any callbacks or events. */
     if (atEnd) {
         if (pSound->endCallback != NULL) {
             pSound->endCallback(pSound->pEndCallbackUserData, pSound);
         }
     }
+    #endif
 }
 
 static ma_bool32 ma_sound_get_at_end(const ma_sound* pSound)
@@ -76533,6 +76584,7 @@ MA_API ma_engine_node_config ma_engine_node_config_init(ma_engine* pEngine, ma_e
     config.isPitchDisabled          = (flags & MA_SOUND_FLAG_NO_PITCH) != 0;
     config.isSpatializationDisabled = (flags & MA_SOUND_FLAG_NO_SPATIALIZATION) != 0;
     config.monoExpansionMode        = pEngine->monoExpansionMode;
+    config.resampling               = pEngine->pitchResamplingConfig;
 
     return config;
 }
@@ -76559,7 +76611,7 @@ static void ma_engine_node_update_pitch_if_required(ma_engine_node* pEngineNode)
 
     if (isUpdateRequired) {
         float basePitch = (float)pEngineNode->sampleRate / ma_engine_get_sample_rate(pEngineNode->pEngine);
-        ma_linear_resampler_set_rate_ratio(&pEngineNode->resampler, basePitch * pEngineNode->oldPitch * pEngineNode->oldDopplerPitch);
+        ma_resampler_set_rate_ratio(&pEngineNode->resampler, basePitch * pEngineNode->oldPitch * pEngineNode->oldDopplerPitch);
     }
 }
 
@@ -76578,22 +76630,6 @@ static ma_bool32 ma_engine_node_is_spatialization_enabled(const ma_engine_node*
     return !ma_atomic_load_explicit_32(&pEngineNode->isSpatializationDisabled, ma_atomic_memory_order_acquire);
 }
 
-static ma_uint64 ma_engine_node_get_required_input_frame_count(const ma_engine_node* pEngineNode, ma_uint64 outputFrameCount)
-{
-    ma_uint64 inputFrameCount = 0;
-
-    if (ma_engine_node_is_pitching_enabled(pEngineNode)) {
-        ma_result result = ma_linear_resampler_get_required_input_frame_count(&pEngineNode->resampler, outputFrameCount, &inputFrameCount);
-        if (result != MA_SUCCESS) {
-            inputFrameCount = 0;
-        }
-    } else {
-        inputFrameCount = outputFrameCount;    /* No resampling, so 1:1. */
-    }
-
-    return inputFrameCount;
-}
-
 static ma_result ma_engine_node_set_volume(ma_engine_node* pEngineNode, float volume)
 {
     if (pEngineNode == NULL) {
@@ -76735,7 +76771,7 @@ static void ma_engine_node_process_pcm_frames__general(ma_engine_node* pEngineNo
             ma_uint64 resampleFrameCountIn  = framesAvailableIn;
             ma_uint64 resampleFrameCountOut = framesAvailableOut;
 
-            ma_linear_resampler_process_pcm_frames(&pEngineNode->resampler, pRunningFramesIn, &resampleFrameCountIn, pWorkingBuffer, &resampleFrameCountOut);
+            ma_resampler_process_pcm_frames(&pEngineNode->resampler, pRunningFramesIn, &resampleFrameCountIn, pWorkingBuffer, &resampleFrameCountOut);
             isWorkingBufferValid = MA_TRUE;
 
             framesJustProcessedIn  = (ma_uint32)resampleFrameCountIn;
@@ -76859,6 +76895,11 @@ static void ma_engine_node_process_pcm_frames__sound(ma_node* pNode, const float
     /* If we're marked at the end we need to stop the sound and do nothing. */
     if (ma_sound_at_end(pSound)) {
         ma_sound_stop(pSound);
+
+        if (pSound->endCallback != NULL) {
+            pSound->endCallback(pSound->pEndCallbackUserData, pSound);
+        }
+
         *pFrameCountOut = 0;
         return;
     }
@@ -76896,55 +76937,74 @@ static void ma_engine_node_process_pcm_frames__sound(ma_node* pNode, const float
         /* Keep reading until we've read as much as was requested or we reach the end of the data source. */
         while (totalFramesRead < frameCount) {
             ma_uint32 framesRemaining = frameCount - totalFramesRead;
-            ma_uint32 framesToRead;
             ma_uint64 framesJustRead;
             ma_uint32 frameCountIn;
             ma_uint32 frameCountOut;
             const float* pRunningFramesIn;
             float* pRunningFramesOut;
 
-            /*
-            The first thing we need to do is read into the temporary buffer. We can calculate exactly
-            how many input frames we'll need after resampling.
-            */
-            framesToRead = (ma_uint32)ma_engine_node_get_required_input_frame_count(&pSound->engineNode, framesRemaining);
-            if (framesToRead > tempCapInFrames) {
-                framesToRead = tempCapInFrames;
-            }
+            /* If there's any input frames sitting in the cache get those processed first. */
+            if (pSound->processingCacheFramesRemaining > 0) {
+                pRunningFramesIn = pSound->pProcessingCache;
+                frameCountIn = pSound->processingCacheFramesRemaining;
 
-            result = ma_data_source_read_pcm_frames(pSound->pDataSource, temp, framesToRead, &framesJustRead);
+                pRunningFramesOut = ma_offset_pcm_frames_ptr_f32(ppFramesOut[0], totalFramesRead, ma_node_get_output_channels(pNode, 0));
+                frameCountOut = framesRemaining;
 
-            /* If we reached the end of the sound we'll want to mark it as at the end and stop it. This should never be returned for looping sounds. */
-            if (result == MA_AT_END) {
-                ma_sound_set_at_end(pSound, MA_TRUE);   /* This will be set to false in ma_sound_start(). */
-            }
+                ma_engine_node_process_pcm_frames__general(&pSound->engineNode, &pRunningFramesIn, &frameCountIn, &pRunningFramesOut, &frameCountOut);
 
-            pRunningFramesOut = ma_offset_pcm_frames_ptr_f32(ppFramesOut[0], totalFramesRead, ma_node_get_output_channels(pNode, 0));
+                MA_ASSERT(frameCountIn <= pSound->processingCacheFramesRemaining);
+                pSound->processingCacheFramesRemaining -= frameCountIn;
 
-            frameCountIn = (ma_uint32)framesJustRead;
-            frameCountOut = framesRemaining;
+                /* Move any remaining data in the cache down. */
+                if (pSound->processingCacheFramesRemaining > 0) {
+                    MA_MOVE_MEMORY(pSound->pProcessingCache, ma_offset_pcm_frames_ptr_f32(pSound->pProcessingCache, frameCountIn, dataSourceChannels), pSound->processingCacheFramesRemaining * ma_get_bytes_per_frame(ma_format_f32, dataSourceChannels));
+                }
+                
+                totalFramesRead += (ma_uint32)frameCountOut;   /* Safe cast. */
 
-            /* Convert if necessary. */
-            if (dataSourceFormat == ma_format_f32) {
-                /* Fast path. No data conversion necessary. */
-                pRunningFramesIn = (float*)temp;
-                ma_engine_node_process_pcm_frames__general(&pSound->engineNode, &pRunningFramesIn, &frameCountIn, &pRunningFramesOut, &frameCountOut);
+                if (result != MA_SUCCESS || ma_sound_at_end(pSound)) {
+                    break;  /* Might have reached the end. */
+                }
             } else {
-                /* Slow path. Need to do sample format conversion to f32. If we give the f32 buffer the same count as the first temp buffer, we're guaranteed it'll be large enough. */
-                float tempf32[MA_DATA_CONVERTER_STACK_BUFFER_SIZE]; /* Do not do `MA_DATA_CONVERTER_STACK_BUFFER_SIZE/sizeof(float)` here like we've done in other places. */
-                ma_convert_pcm_frames_format(tempf32, ma_format_f32, temp, dataSourceFormat, framesJustRead, dataSourceChannels, ma_dither_mode_none);
+                /* Getting here means there's nothing in the cache. Read more data from the data source. */
+                if (dataSourceFormat == ma_format_f32) {
+                    /* Fast path. No conversion to f32 necessary. */
+                    result = ma_data_source_read_pcm_frames(pSound->pDataSource, pSound->pProcessingCache, pSound->processingCacheCap, &framesJustRead);
+                } else {
+                    /* Slow path. Need to convert to f32. */
+                    ma_uint64 totalFramesConverted = 0;
+
+                    while (totalFramesConverted < pSound->processingCacheCap) {
+                        ma_uint64 framesConverted;
+                        ma_uint32 framesToConvertThisIteration = pSound->processingCacheCap - (ma_uint32)totalFramesConverted;
+                        if (framesToConvertThisIteration > tempCapInFrames) {
+                            framesToConvertThisIteration = tempCapInFrames;
+                        }
 
-                /* Now that we have our samples in f32 format we can process like normal. */
-                pRunningFramesIn = tempf32;
-                ma_engine_node_process_pcm_frames__general(&pSound->engineNode, &pRunningFramesIn, &frameCountIn, &pRunningFramesOut, &frameCountOut);
-            }
+                        result = ma_data_source_read_pcm_frames(pSound->pDataSource, temp, framesToConvertThisIteration, &framesConverted);
+                        if (result != MA_SUCCESS) {
+                            break;
+                        }
+
+                        ma_convert_pcm_frames_format(ma_offset_pcm_frames_ptr_f32(pSound->pProcessingCache, totalFramesConverted, dataSourceChannels), ma_format_f32, temp, dataSourceFormat, framesConverted, dataSourceChannels, ma_dither_mode_none);
+                        totalFramesConverted += framesConverted;
+                    }
+
+                    framesJustRead = totalFramesConverted;
+                }
+
+                MA_ASSERT(framesJustRead <= pSound->processingCacheCap);
+                pSound->processingCacheFramesRemaining = (ma_uint32)framesJustRead;
 
-            /* We should have processed all of our input frames since we calculated the required number of input frames at the top. */
-            MA_ASSERT(frameCountIn == framesJustRead);
-            totalFramesRead += (ma_uint32)frameCountOut;   /* Safe cast. */
+                /* If we reached the end of the sound we'll want to mark it as at the end and stop it. This should never be returned for looping sounds. */
+                if (result == MA_AT_END) {
+                    ma_sound_set_at_end(pSound, MA_TRUE);   /* This will be set to false in ma_sound_start(). */
+                }
 
-            if (result != MA_SUCCESS || ma_sound_at_end(pSound)) {
-                break;  /* Might have reached the end. */
+                if (result != MA_SUCCESS || ma_sound_at_end(pSound)) {
+                    break;
+                }
             }
         }
     }
@@ -76967,25 +77027,6 @@ static void ma_engine_node_process_pcm_frames__group(ma_node* pNode, const float
     ma_engine_node_process_pcm_frames__general((ma_engine_node*)pNode, ppFramesIn, pFrameCountIn, ppFramesOut, pFrameCountOut);
 }
 
-static ma_result ma_engine_node_get_required_input_frame_count__group(ma_node* pNode, ma_uint32 outputFrameCount, ma_uint32* pInputFrameCount)
-{
-    ma_uint64 inputFrameCount;
-
-    MA_ASSERT(pInputFrameCount != NULL);
-
-    /* Our pitch will affect this calculation. We need to update it. */
-    ma_engine_node_update_pitch_if_required((ma_engine_node*)pNode);
-
-    inputFrameCount = ma_engine_node_get_required_input_frame_count((ma_engine_node*)pNode, outputFrameCount);
-    if (inputFrameCount > 0xFFFFFFFF) {
-        inputFrameCount = 0xFFFFFFFF;    /* Will never happen because miniaudio will only ever process in relatively small chunks. */
-    }
-
-    *pInputFrameCount = (ma_uint32)inputFrameCount;
-
-    return MA_SUCCESS;
-}
-
 
 static ma_node_vtable g_ma_engine_node_vtable__sound =
 {
@@ -76999,7 +77040,7 @@ static ma_node_vtable g_ma_engine_node_vtable__sound =
 static ma_node_vtable g_ma_engine_node_vtable__group =
 {
     ma_engine_node_process_pcm_frames__group,
-    ma_engine_node_get_required_input_frame_count__group,
+    NULL,   /* onGetRequiredInputFrameCount */
     1,      /* Groups have one input bus. */
     1,      /* Groups have one output bus. */
     MA_NODE_FLAG_DIFFERENT_PROCESSING_RATES /* The engine node does resampling so should let miniaudio know about it. */
@@ -77045,9 +77086,10 @@ static ma_result ma_engine_node_get_heap_layout(const ma_engine_node_config* pCo
     ma_result result;
     size_t tempHeapSize;
     ma_node_config baseNodeConfig;
-    ma_linear_resampler_config resamplerConfig;
+    ma_resampler_config resamplerConfig;
     ma_spatializer_config spatializerConfig;
     ma_gainer_config gainerConfig;
+    ma_uint32 sampleRate;
     ma_uint32 channelsIn;
     ma_uint32 channelsOut;
     ma_channel defaultStereoChannelMap[2] = {MA_CHANNEL_SIDE_LEFT, MA_CHANNEL_SIDE_RIGHT};  /* <-- Consistent with the default channel map of a stereo listener. Means channel conversion can run on a fast path. */
@@ -77066,6 +77108,7 @@ static ma_result ma_engine_node_get_heap_layout(const ma_engine_node_config* pCo
 
     pHeapLayout->sizeInBytes = 0;
 
+    sampleRate  = (pConfig->sampleRate   > 0) ? pConfig->sampleRate  : ma_engine_get_sample_rate(pConfig->pEngine);
     channelsIn  = (pConfig->channelsIn  != 0) ? pConfig->channelsIn  : ma_engine_get_channels(pConfig->pEngine);
     channelsOut = (pConfig->channelsOut != 0) ? pConfig->channelsOut : ma_engine_get_channels(pConfig->pEngine);
 
@@ -77085,10 +77128,13 @@ static ma_result ma_engine_node_get_heap_layout(const ma_engine_node_config* pCo
 
 
     /* Resmapler. */
-    resamplerConfig = ma_linear_resampler_config_init(ma_format_f32, channelsIn, 1, 1); /* Input and output sample rates don't affect the calculation of the heap size. */
-    resamplerConfig.lpfOrder = 0;
+    resamplerConfig = pConfig->resampling;
+    resamplerConfig.format        = ma_format_f32;
+    resamplerConfig.channels      = channelsIn;
+    resamplerConfig.sampleRateIn  = sampleRate;
+    resamplerConfig.sampleRateOut = ma_engine_get_sample_rate(pConfig->pEngine);
 
-    result = ma_linear_resampler_get_heap_size(&resamplerConfig, &tempHeapSize);
+    result = ma_resampler_get_heap_size(&resamplerConfig, &tempHeapSize);
     if (result != MA_SUCCESS) {
         return result;  /* Failed to retrieve the size of the heap for the resampler. */
     }
@@ -77156,7 +77202,7 @@ MA_API ma_result ma_engine_node_init_preallocated(const ma_engine_node_config* p
     ma_result result;
     ma_engine_node_heap_layout heapLayout;
     ma_node_config baseNodeConfig;
-    ma_linear_resampler_config resamplerConfig;
+    ma_resampler_config resamplerConfig;
     ma_fader_config faderConfig;
     ma_spatializer_config spatializerConfig;
     ma_panner_config pannerConfig;
@@ -77231,10 +77277,13 @@ MA_API ma_result ma_engine_node_init_preallocated(const ma_engine_node_config* p
     */
 
     /* We'll always do resampling first. */
-    resamplerConfig = ma_linear_resampler_config_init(ma_format_f32, baseNodeConfig.pInputChannels[0], pEngineNode->sampleRate, ma_engine_get_sample_rate(pEngineNode->pEngine));
-    resamplerConfig.lpfOrder = 0;    /* <-- Need to disable low-pass filtering for pitch shifting for now because there's cases where the biquads are becoming unstable. Need to figure out a better fix for this. */
+    resamplerConfig = pConfig->resampling;
+    resamplerConfig.format        = ma_format_f32;
+    resamplerConfig.channels      = baseNodeConfig.pInputChannels[0];
+    resamplerConfig.sampleRateIn  = pEngineNode->sampleRate;
+    resamplerConfig.sampleRateOut = ma_engine_get_sample_rate(pEngineNode->pEngine);
 
-    result = ma_linear_resampler_init_preallocated(&resamplerConfig, ma_offset_ptr(pHeap, heapLayout.resamplerOffset), &pEngineNode->resampler);
+    result = ma_resampler_init_preallocated(&resamplerConfig, ma_offset_ptr(pHeap, heapLayout.resamplerOffset), &pEngineNode->resampler);
     if (result != MA_SUCCESS) {
         goto error1;
     }
@@ -77293,7 +77342,7 @@ MA_API ma_result ma_engine_node_init_preallocated(const ma_engine_node_config* p
 
     /* No need for allocation callbacks here because we use a preallocated heap. */
 error3: ma_spatializer_uninit(&pEngineNode->spatializer, NULL);
-error2: ma_linear_resampler_uninit(&pEngineNode->resampler, NULL);
+error2: ma_resampler_uninit(&pEngineNode->resampler, NULL);
 error1: ma_node_uninit(&pEngineNode->baseNode, NULL);
 error0: return result;
 }
@@ -77342,7 +77391,7 @@ MA_API void ma_engine_node_uninit(ma_engine_node* pEngineNode, const ma_allocati
     }
 
     ma_spatializer_uninit(&pEngineNode->spatializer, pAllocationCallbacks);
-    ma_linear_resampler_uninit(&pEngineNode->resampler, pAllocationCallbacks);
+    ma_resampler_uninit(&pEngineNode->resampler, pAllocationCallbacks);
 
     /* Free the heap last. */
     if (pEngineNode->_ownsHeap) {
@@ -77364,8 +77413,12 @@ MA_API ma_sound_config ma_sound_config_init_2(ma_engine* pEngine)
 
     if (pEngine != NULL) {
         config.monoExpansionMode = pEngine->monoExpansionMode;
+        config.pitchResampling = pEngine->pitchResamplingConfig;
     } else {
         config.monoExpansionMode = ma_mono_expansion_mode_default;
+
+        config.pitchResampling = ma_resampler_config_init(ma_format_f32, 0, 0, 0, ma_resample_algorithm_linear);
+        config.pitchResampling.linear.lpfOrder = 0; /* <-- Need to disable low-pass filtering for pitch shifting for now because there's cases where the biquads are becoming unstable. Need to figure out a better fix for this. */
     }
 
     config.rangeEndInPCMFrames     = ~((ma_uint64)0);
@@ -77387,8 +77440,12 @@ MA_API ma_sound_group_config ma_sound_group_config_init_2(ma_engine* pEngine)
 
     if (pEngine != NULL) {
         config.monoExpansionMode = pEngine->monoExpansionMode;
+        config.pitchResampling   = pEngine->pitchResamplingConfig;
     } else {
         config.monoExpansionMode = ma_mono_expansion_mode_default;
+
+        config.pitchResampling = ma_resampler_config_init(ma_format_f32, 0, 0, 0, ma_resample_algorithm_linear);
+        config.pitchResampling.linear.lpfOrder = 0; /* <-- Need to disable low-pass filtering for pitch shifting for now because there's cases where the biquads are becoming unstable. Need to figure out a better fix for this. */
     }
 
     return config;
@@ -77400,8 +77457,12 @@ MA_API ma_engine_config ma_engine_config_init(void)
     ma_engine_config config;
 
     MA_ZERO_OBJECT(&config);
-    config.listenerCount     = 1;   /* Always want at least one listener. */
-    config.monoExpansionMode = ma_mono_expansion_mode_default;
+    config.listenerCount             = 1;   /* Always want at least one listener. */
+    config.monoExpansionMode         = ma_mono_expansion_mode_default;
+    config.resourceManagerResampling = ma_resampler_config_init(ma_format_unknown, 0, 0, 0, ma_resample_algorithm_linear);
+
+    config.pitchResampling = ma_resampler_config_init(ma_format_f32, 0, 0, 0, ma_resample_algorithm_linear);
+    config.pitchResampling.linear.lpfOrder = 0; /* <-- Need to disable low-pass filtering for pitch shifting for now because there's cases where the biquads are becoming unstable. Need to figure out a better fix for this. */
 
     return config;
 }
@@ -77482,6 +77543,7 @@ MA_API ma_result ma_engine_init(const ma_engine_config* pConfig, ma_engine* pEng
     pEngine->defaultVolumeSmoothTimeInPCMFrames = engineConfig.defaultVolumeSmoothTimeInPCMFrames;
     pEngine->onProcess = engineConfig.onProcess;
     pEngine->pProcessUserData = engineConfig.pProcessUserData;
+    pEngine->pitchResamplingConfig = engineConfig.pitchResampling;
     ma_allocation_callbacks_init_copy(&pEngine->allocationCallbacks, &engineConfig.allocationCallbacks);
 
     #if !defined(MA_NO_RESOURCE_MANAGER)
@@ -77664,6 +77726,7 @@ MA_API ma_result ma_engine_init(const ma_engine_config* pConfig, ma_engine* pEng
             resourceManagerConfig.decodedSampleRate = ma_engine_get_sample_rate(pEngine);
             ma_allocation_callbacks_init_copy(&resourceManagerConfig.allocationCallbacks, &pEngine->allocationCallbacks);
             resourceManagerConfig.pVFS              = engineConfig.pResourceManagerVFS;
+            resourceManagerConfig.resampling        = engineConfig.resourceManagerResampling;
 
             /* The Emscripten build cannot use threads unless it's targeting pthreads. */
             #if defined(MA_EMSCRIPTEN) && !defined(__EMSCRIPTEN_PTHREADS__)
@@ -78389,6 +78452,25 @@ static ma_result ma_sound_init_from_data_source_internal(ma_engine* pEngine, con
     }
 
 
+    /*
+    When pulling data from a data source we need a processing cache to hold onto unprocessed input data from the data source
+    after doing resampling.
+    */
+    if (pSound->pDataSource != NULL) {
+        pSound->processingCacheFramesRemaining = 0;
+        pSound->processingCacheCap = ma_node_graph_get_processing_size_in_frames(&pEngine->nodeGraph);
+        if (pSound->processingCacheCap == 0) {
+            pSound->processingCacheCap = 512;
+        }
+        
+        pSound->pProcessingCache = (float*)ma_calloc(pSound->processingCacheCap * ma_get_bytes_per_frame(ma_format_f32, engineNodeConfig.channelsIn), &pEngine->allocationCallbacks);
+        if (pSound->pProcessingCache == NULL) {
+            ma_engine_node_uninit(&pSound->engineNode, &pEngine->allocationCallbacks);
+            return MA_OUT_OF_MEMORY;
+        }
+    }
+
+
     /* Apply initial range and looping state to the data source if applicable. */
     if (pConfig->rangeBegInPCMFrames != 0 || pConfig->rangeEndInPCMFrames != ~((ma_uint64)0)) {
         ma_data_source_set_range_in_pcm_frames(ma_sound_get_data_source(pSound), pConfig->rangeBegInPCMFrames, pConfig->rangeEndInPCMFrames);
@@ -78626,6 +78708,11 @@ MA_API void ma_sound_uninit(ma_sound* pSound)
     */
     ma_engine_node_uninit(&pSound->engineNode, &pSound->engineNode.pEngine->allocationCallbacks);
 
+    if (pSound->pProcessingCache != NULL) {
+        ma_free(pSound->pProcessingCache, &pSound->engineNode.pEngine->allocationCallbacks);
+        pSound->pProcessingCache = NULL;
+    }
+
     /* Once the sound is detached from the group we can guarantee that it won't be referenced by the mixer thread which means it's safe for us to destroy the data source. */
 #ifndef MA_NO_RESOURCE_MANAGER
     if (pSound->ownsDataSource) {
@@ -78721,6 +78808,27 @@ MA_API ma_result ma_sound_stop_with_fade_in_milliseconds(ma_sound* pSound, ma_ui
     return ma_sound_stop_with_fade_in_pcm_frames(pSound, (fadeLengthInMilliseconds * sampleRate) / 1000);
 }
 
+MA_API void ma_sound_reset_start_time(ma_sound* pSound)
+{
+    ma_sound_set_start_time_in_pcm_frames(pSound, 0);
+}
+
+MA_API void ma_sound_reset_stop_time(ma_sound* pSound)
+{
+    ma_sound_set_stop_time_in_pcm_frames(pSound, ~(ma_uint64)0);
+}
+
+MA_API void ma_sound_reset_fade(ma_sound* pSound)
+{
+    ma_sound_set_fade_in_pcm_frames(pSound, 0, 1, 0);
+}
+
+MA_API void ma_sound_reset_stop_time_and_fade(ma_sound* pSound)
+{
+    ma_sound_reset_stop_time(pSound);
+    ma_sound_reset_fade(pSound);
+}
+
 MA_API void ma_sound_set_volume(ma_sound* pSound, float volume)
 {
     if (pSound == NULL) {
@@ -79372,7 +79480,7 @@ MA_API ma_result ma_sound_get_data_format(const ma_sound* pSound, ma_format* pFo
         }
 
         if (pSampleRate != NULL) {
-            *pSampleRate = pSound->engineNode.resampler.config.sampleRateIn;
+            *pSampleRate = pSound->engineNode.resampler.sampleRateIn;
         }
 
         if (pChannelMap != NULL) {
@@ -80418,6 +80526,13 @@ MA_PRIVATE ma_uint64 ma_dr_wav__read_smpl_to_metadata_obj(ma_dr_wav__metadata_pa
     MA_DR_WAV_ASSERT(pChunkHeader != NULL);
     if (pMetadata != NULL && bytesJustRead == sizeof(smplHeaderData)) {
         ma_uint32 iSampleLoop;
+        ma_uint32 loopCount;
+        ma_uint32 calculatedLoopCount;
+        loopCount = ma_dr_wav_bytes_to_u32(smplHeaderData + 28);
+        calculatedLoopCount = (pChunkHeader->sizeInBytes - MA_DR_WAV_SMPL_BYTES) / MA_DR_WAV_SMPL_LOOP_BYTES;
+        if (loopCount != calculatedLoopCount) {
+            return totalBytesRead;
+        }
         pMetadata->type                                     = ma_dr_wav_metadata_type_smpl;
         pMetadata->data.smpl.manufacturerId                 = ma_dr_wav_bytes_to_u32(smplHeaderData + 0);
         pMetadata->data.smpl.productId                      = ma_dr_wav_bytes_to_u32(smplHeaderData + 4);
@@ -80428,7 +80543,7 @@ MA_PRIVATE ma_uint64 ma_dr_wav__read_smpl_to_metadata_obj(ma_dr_wav__metadata_pa
         pMetadata->data.smpl.smpteOffset                    = ma_dr_wav_bytes_to_u32(smplHeaderData + 24);
         pMetadata->data.smpl.sampleLoopCount                = ma_dr_wav_bytes_to_u32(smplHeaderData + 28);
         pMetadata->data.smpl.samplerSpecificDataSizeInBytes = ma_dr_wav_bytes_to_u32(smplHeaderData + 32);
-        if (pMetadata->data.smpl.sampleLoopCount == (pChunkHeader->sizeInBytes - MA_DR_WAV_SMPL_BYTES) / MA_DR_WAV_SMPL_LOOP_BYTES) {
+        if (pMetadata->data.smpl.sampleLoopCount == calculatedLoopCount) {
             pMetadata->data.smpl.pLoops = (ma_dr_wav_smpl_loop*)ma_dr_wav__metadata_get_memory(pParser, sizeof(ma_dr_wav_smpl_loop) * pMetadata->data.smpl.sampleLoopCount, MA_DR_WAV_METADATA_ALIGNMENT);
             for (iSampleLoop = 0; iSampleLoop < pMetadata->data.smpl.sampleLoopCount; ++iSampleLoop) {
                 ma_uint8 smplLoopData[MA_DR_WAV_SMPL_LOOP_BYTES];
@@ -80449,6 +80564,8 @@ MA_PRIVATE ma_uint64 ma_dr_wav__read_smpl_to_metadata_obj(ma_dr_wav__metadata_pa
                 MA_DR_WAV_ASSERT(pMetadata->data.smpl.pSamplerSpecificData != NULL);
                 ma_dr_wav__metadata_parser_read(pParser, pMetadata->data.smpl.pSamplerSpecificData, pMetadata->data.smpl.samplerSpecificDataSizeInBytes, &totalBytesRead);
             }
+        } else {
+            MA_DR_WAV_ZERO_OBJECT(&pMetadata->data.smpl);
         }
     }
     return totalBytesRead;
@@ -82436,7 +82553,6 @@ MA_PRIVATE ma_bool32 ma_dr_wav__on_seek_memory(void* pUserData, int offset, ma_d
     ma_dr_wav* pWav = (ma_dr_wav*)pUserData;
     ma_int64 newCursor;
     MA_DR_WAV_ASSERT(pWav != NULL);
-    newCursor = pWav->memoryStream.currentReadPos;
     if (origin == MA_DR_WAV_SEEK_SET) {
         newCursor = 0;
     } else if (origin == MA_DR_WAV_SEEK_CUR) {
@@ -82490,7 +82606,6 @@ MA_PRIVATE ma_bool32 ma_dr_wav__on_seek_memory_write(void* pUserData, int offset
     ma_dr_wav* pWav = (ma_dr_wav*)pUserData;
     ma_int64 newCursor;
     MA_DR_WAV_ASSERT(pWav != NULL);
-    newCursor = pWav->memoryStreamWrite.currentWritePos;
     if (origin == MA_DR_WAV_SEEK_SET) {
         newCursor = 0;
     } else if (origin == MA_DR_WAV_SEEK_CUR) {
@@ -82499,7 +82614,7 @@ MA_PRIVATE ma_bool32 ma_dr_wav__on_seek_memory_write(void* pUserData, int offset
         newCursor = (ma_int64)pWav->memoryStreamWrite.dataSize;
     } else {
         MA_DR_WAV_ASSERT(!"Invalid seek origin");
-        return MA_INVALID_ARGS;
+        return MA_FALSE;
     }
     newCursor += offset;
     if (newCursor < 0) {
@@ -83000,7 +83115,7 @@ MA_PRIVATE ma_uint64 ma_dr_wav_read_pcm_frames_s16__msadpcm(ma_dr_wav* pWav, ma_
                 pWav->msadpcm.cachedFrames[2]  = pWav->msadpcm.prevFrames[0][0];
                 pWav->msadpcm.cachedFrames[3]  = pWav->msadpcm.prevFrames[0][1];
                 pWav->msadpcm.cachedFrameCount = 2;
-                if (pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff1Table)) {
+                if (pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff2Table)) {
                     return totalFramesRead;
                 }
             } else {
@@ -83022,7 +83137,8 @@ MA_PRIVATE ma_uint64 ma_dr_wav_read_pcm_frames_s16__msadpcm(ma_dr_wav* pWav, ma_
                 pWav->msadpcm.cachedFrames[2] = pWav->msadpcm.prevFrames[0][1];
                 pWav->msadpcm.cachedFrames[3] = pWav->msadpcm.prevFrames[1][1];
                 pWav->msadpcm.cachedFrameCount = 2;
-                if (pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[1] >= ma_dr_wav_countof(coeff2Table)) {
+                if (pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff2Table) ||
+                    pWav->msadpcm.predictor[1] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[1] >= ma_dr_wav_countof(coeff2Table)) {
                     return totalFramesRead;
                 }
             }
@@ -83059,22 +83175,19 @@ MA_PRIVATE ma_uint64 ma_dr_wav_read_pcm_frames_s16__msadpcm(ma_dr_wav* pWav, ma_
                 if (pWav->channels == 1) {
                     ma_int32 newSample0;
                     ma_int32 newSample1;
+                    if (pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff2Table)) {
+                        return totalFramesRead;
+                    }
                     newSample0  = ((pWav->msadpcm.prevFrames[0][1] * coeff1Table[pWav->msadpcm.predictor[0]]) + (pWav->msadpcm.prevFrames[0][0] * coeff2Table[pWav->msadpcm.predictor[0]])) >> 8;
                     newSample0 += nibble0 * pWav->msadpcm.delta[0];
                     newSample0  = ma_dr_wav_clamp(newSample0, -32768, 32767);
-                    pWav->msadpcm.delta[0] = (adaptationTable[((nibbles & 0xF0) >> 4)] * pWav->msadpcm.delta[0]) >> 8;
-                    if (pWav->msadpcm.delta[0] < 16) {
-                        pWav->msadpcm.delta[0] = 16;
-                    }
+                    pWav->msadpcm.delta[0] = (ma_int32)ma_dr_wav_clamp(((ma_int64)adaptationTable[((nibbles & 0xF0) >> 4)] * pWav->msadpcm.delta[0]) >> 8, 16, 0x7FFFFFFF);
                     pWav->msadpcm.prevFrames[0][0] = pWav->msadpcm.prevFrames[0][1];
                     pWav->msadpcm.prevFrames[0][1] = newSample0;
                     newSample1  = ((pWav->msadpcm.prevFrames[0][1] * coeff1Table[pWav->msadpcm.predictor[0]]) + (pWav->msadpcm.prevFrames[0][0] * coeff2Table[pWav->msadpcm.predictor[0]])) >> 8;
                     newSample1 += nibble1 * pWav->msadpcm.delta[0];
                     newSample1  = ma_dr_wav_clamp(newSample1, -32768, 32767);
-                    pWav->msadpcm.delta[0] = (adaptationTable[((nibbles & 0x0F) >> 0)] * pWav->msadpcm.delta[0]) >> 8;
-                    if (pWav->msadpcm.delta[0] < 16) {
-                        pWav->msadpcm.delta[0] = 16;
-                    }
+                    pWav->msadpcm.delta[0] = (ma_int32)ma_dr_wav_clamp(((ma_int64)adaptationTable[((nibbles & 0x0F) >> 0)] * pWav->msadpcm.delta[0]) >> 8, 16, 0x7FFFFFFF);
                     pWav->msadpcm.prevFrames[0][0] = pWav->msadpcm.prevFrames[0][1];
                     pWav->msadpcm.prevFrames[0][1] = newSample1;
                     pWav->msadpcm.cachedFrames[2] = newSample0;
@@ -83083,22 +83196,22 @@ MA_PRIVATE ma_uint64 ma_dr_wav_read_pcm_frames_s16__msadpcm(ma_dr_wav* pWav, ma_
                 } else {
                     ma_int32 newSample0;
                     ma_int32 newSample1;
+                    if (pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[0] >= ma_dr_wav_countof(coeff2Table)) {
+                        return totalFramesRead;
+                    }
                     newSample0  = ((pWav->msadpcm.prevFrames[0][1] * coeff1Table[pWav->msadpcm.predictor[0]]) + (pWav->msadpcm.prevFrames[0][0] * coeff2Table[pWav->msadpcm.predictor[0]])) >> 8;
                     newSample0 += nibble0 * pWav->msadpcm.delta[0];
                     newSample0  = ma_dr_wav_clamp(newSample0, -32768, 32767);
-                    pWav->msadpcm.delta[0] = (adaptationTable[((nibbles & 0xF0) >> 4)] * pWav->msadpcm.delta[0]) >> 8;
-                    if (pWav->msadpcm.delta[0] < 16) {
-                        pWav->msadpcm.delta[0] = 16;
-                    }
+                    pWav->msadpcm.delta[0] = (ma_int32)ma_dr_wav_clamp(((ma_int64)adaptationTable[((nibbles & 0xF0) >> 4)] * pWav->msadpcm.delta[0]) >> 8, 16, 0x7FFFFFFF);
                     pWav->msadpcm.prevFrames[0][0] = pWav->msadpcm.prevFrames[0][1];
                     pWav->msadpcm.prevFrames[0][1] = newSample0;
+                    if (pWav->msadpcm.predictor[1] >= ma_dr_wav_countof(coeff1Table) || pWav->msadpcm.predictor[1] >= ma_dr_wav_countof(coeff2Table)) {
+                        return totalFramesRead;
+                    }
                     newSample1  = ((pWav->msadpcm.prevFrames[1][1] * coeff1Table[pWav->msadpcm.predictor[1]]) + (pWav->msadpcm.prevFrames[1][0] * coeff2Table[pWav->msadpcm.predictor[1]])) >> 8;
                     newSample1 += nibble1 * pWav->msadpcm.delta[1];
                     newSample1  = ma_dr_wav_clamp(newSample1, -32768, 32767);
-                    pWav->msadpcm.delta[1] = (adaptationTable[((nibbles & 0x0F) >> 0)] * pWav->msadpcm.delta[1]) >> 8;
-                    if (pWav->msadpcm.delta[1] < 16) {
-                        pWav->msadpcm.delta[1] = 16;
-                    }
+                    pWav->msadpcm.delta[1] = (ma_int32)ma_dr_wav_clamp(((ma_int64)adaptationTable[((nibbles & 0x0F) >> 0)] * pWav->msadpcm.delta[1]) >> 8, 16, 0x7FFFFFFF);
                     pWav->msadpcm.prevFrames[1][0] = pWav->msadpcm.prevFrames[1][1];
                     pWav->msadpcm.prevFrames[1][1] = newSample1;
                     pWav->msadpcm.cachedFrames[2] = newSample0;
@@ -84336,6 +84449,10 @@ MA_PRIVATE ma_int16* ma_dr_wav__read_pcm_frames_and_close_s16(ma_dr_wav* pWav, u
     ma_int16* pSampleData;
     ma_uint64 framesRead;
     MA_DR_WAV_ASSERT(pWav != NULL);
+    if (pWav->channels == 0 || pWav->totalPCMFrameCount > MA_SIZE_MAX / pWav->channels / sizeof(ma_int16)) {
+        ma_dr_wav_uninit(pWav);
+        return NULL;
+    }
     sampleDataSize = pWav->totalPCMFrameCount * pWav->channels * sizeof(ma_int16);
     if (sampleDataSize > MA_SIZE_MAX) {
         ma_dr_wav_uninit(pWav);
@@ -84370,6 +84487,10 @@ MA_PRIVATE float* ma_dr_wav__read_pcm_frames_and_close_f32(ma_dr_wav* pWav, unsi
     float* pSampleData;
     ma_uint64 framesRead;
     MA_DR_WAV_ASSERT(pWav != NULL);
+    if (pWav->channels == 0 || pWav->totalPCMFrameCount > MA_SIZE_MAX / pWav->channels / sizeof(float)) {
+        ma_dr_wav_uninit(pWav);
+        return NULL;
+    }
     sampleDataSize = pWav->totalPCMFrameCount * pWav->channels * sizeof(float);
     if (sampleDataSize > MA_SIZE_MAX) {
         ma_dr_wav_uninit(pWav);
@@ -84404,6 +84525,10 @@ MA_PRIVATE ma_int32* ma_dr_wav__read_pcm_frames_and_close_s32(ma_dr_wav* pWav, u
     ma_int32* pSampleData;
     ma_uint64 framesRead;
     MA_DR_WAV_ASSERT(pWav != NULL);
+    if (pWav->channels == 0 || pWav->totalPCMFrameCount > MA_SIZE_MAX / pWav->channels / sizeof(ma_int32)) {
+        ma_dr_wav_uninit(pWav);
+        return NULL;
+    }
     sampleDataSize = pWav->totalPCMFrameCount * pWav->channels * sizeof(ma_int32);
     if (sampleDataSize > MA_SIZE_MAX) {
         ma_dr_wav_uninit(pWav);
@@ -85786,7 +85911,7 @@ static MA_INLINE ma_uint32 ma_dr_flac__clz_lzcnt(ma_dr_flac_cache_t x)
             {
                 ma_uint64 r;
                 __asm__ __volatile__ (
-                    "lzcnt{ %1, %0| %0, %1}" : "=r"(r) : "r"(x) : "cc"
+                    "rep; bsr{q %1, %0| %0, %1}" : "=r"(r) : "r"(x) : "cc"
                 );
                 return (ma_uint32)r;
             }
@@ -85794,11 +85919,11 @@ static MA_INLINE ma_uint32 ma_dr_flac__clz_lzcnt(ma_dr_flac_cache_t x)
             {
                 ma_uint32 r;
                 __asm__ __volatile__ (
-                    "lzcnt{l %1, %0| %0, %1}" : "=r"(r) : "r"(x) : "cc"
+                    "rep; bsr{l %1, %0| %0, %1}" : "=r"(r) : "r"(x) : "cc"
                 );
                 return r;
             }
-        #elif defined(MA_ARM) && (defined(__ARM_ARCH) && __ARM_ARCH >= 5) && !defined(__ARM_ARCH_6M__) && !defined(MA_64BIT)
+        #elif defined(MA_ARM) && (defined(__ARM_ARCH) && __ARM_ARCH >= 5) && !defined(__ARM_ARCH_6M__) && !(defined(__thumb__) && !defined(__thumb2__)) && !defined(MA_64BIT)
             {
                 unsigned int r;
                 __asm__ __volatile__ (
@@ -88852,6 +88977,7 @@ static ma_bool32 ma_dr_flac__read_and_decode_metadata(ma_dr_flac_read_proc onRea
                         }
                     }
                     blockSizeRemaining -= metadata.data.picture.pictureDataSize;
+                    (void)blockSizeRemaining;
                     metadata.data.picture.pPictureData = (const ma_uint8*)pPictureData;
                     if (metadata.data.picture.pictureDataOffset != 0 || metadata.data.picture.pPictureData != NULL) {
                         onMeta(pUserDataMD, &metadata);
@@ -92276,57 +92402,42 @@ static type* ma_dr_flac__full_read_and_close_ ## extension (ma_dr_flac* pFlac, u
 {                                                                                                                                                                   \
     type* pSampleData = NULL;                                                                                                                                       \
     ma_uint64 totalPCMFrameCount;                                                                                                                               \
+    type buffer[4096];                                                                                                                                              \
+    ma_uint64 pcmFramesRead;                                                                                                                                    \
+    size_t sampleDataBufferSize = sizeof(buffer);                                                                                                                   \
                                                                                                                                                                     \
     MA_DR_FLAC_ASSERT(pFlac != NULL);                                                                                                                                   \
                                                                                                                                                                     \
-    totalPCMFrameCount = pFlac->totalPCMFrameCount;                                                                                                                 \
-                                                                                                                                                                    \
-    if (totalPCMFrameCount == 0) {                                                                                                                                  \
-        type buffer[4096];                                                                                                                                          \
-        ma_uint64 pcmFramesRead;                                                                                                                                \
-        size_t sampleDataBufferSize = sizeof(buffer);                                                                                                               \
-                                                                                                                                                                    \
-        pSampleData = (type*)ma_dr_flac__malloc_from_callbacks(sampleDataBufferSize, &pFlac->allocationCallbacks);                                                      \
-        if (pSampleData == NULL) {                                                                                                                                  \
-            goto on_error;                                                                                                                                          \
-        }                                                                                                                                                           \
+    totalPCMFrameCount = 0;                                                                                                                                         \
                                                                                                                                                                     \
-        while ((pcmFramesRead = (ma_uint64)ma_dr_flac_read_pcm_frames_##extension(pFlac, sizeof(buffer)/sizeof(buffer[0])/pFlac->channels, buffer)) > 0) {          \
-            if (((totalPCMFrameCount + pcmFramesRead) * pFlac->channels * sizeof(type)) > sampleDataBufferSize) {                                                   \
-                type* pNewSampleData;                                                                                                                               \
-                size_t newSampleDataBufferSize;                                                                                                                     \
+    pSampleData = (type*)ma_dr_flac__malloc_from_callbacks(sampleDataBufferSize, &pFlac->allocationCallbacks);                                                          \
+    if (pSampleData == NULL) {                                                                                                                                      \
+        goto on_error;                                                                                                                                              \
+    }                                                                                                                                                               \
                                                                                                                                                                     \
-                newSampleDataBufferSize = sampleDataBufferSize * 2;                                                                                                 \
-                pNewSampleData = (type*)ma_dr_flac__realloc_from_callbacks(pSampleData, newSampleDataBufferSize, sampleDataBufferSize, &pFlac->allocationCallbacks);    \
-                if (pNewSampleData == NULL) {                                                                                                                       \
-                    ma_dr_flac__free_from_callbacks(pSampleData, &pFlac->allocationCallbacks);                                                                          \
-                    goto on_error;                                                                                                                                  \
-                }                                                                                                                                                   \
+    while ((pcmFramesRead = (ma_uint64)ma_dr_flac_read_pcm_frames_##extension(pFlac, sizeof(buffer)/sizeof(buffer[0])/pFlac->channels, buffer)) > 0) {              \
+        if (((totalPCMFrameCount + pcmFramesRead) * pFlac->channels * sizeof(type)) > sampleDataBufferSize) {                                                       \
+            type* pNewSampleData;                                                                                                                                   \
+            size_t newSampleDataBufferSize;                                                                                                                         \
                                                                                                                                                                     \
-                sampleDataBufferSize = newSampleDataBufferSize;                                                                                                     \
-                pSampleData = pNewSampleData;                                                                                                                       \
+            newSampleDataBufferSize = sampleDataBufferSize * 2;                                                                                                     \
+            pNewSampleData = (type*)ma_dr_flac__realloc_from_callbacks(pSampleData, newSampleDataBufferSize, sampleDataBufferSize, &pFlac->allocationCallbacks);        \
+            if (pNewSampleData == NULL) {                                                                                                                           \
+                ma_dr_flac__free_from_callbacks(pSampleData, &pFlac->allocationCallbacks);                                                                              \
+                goto on_error;                                                                                                                                      \
             }                                                                                                                                                       \
                                                                                                                                                                     \
-            MA_DR_FLAC_COPY_MEMORY(pSampleData + (totalPCMFrameCount*pFlac->channels), buffer, (size_t)(pcmFramesRead*pFlac->channels*sizeof(type)));                   \
-            totalPCMFrameCount += pcmFramesRead;                                                                                                                    \
-        }                                                                                                                                                           \
-                                                                                                                                                                    \
-                                                                                                                         \
-        MA_DR_FLAC_ZERO_MEMORY(pSampleData + (totalPCMFrameCount*pFlac->channels), (size_t)(sampleDataBufferSize - totalPCMFrameCount*pFlac->channels*sizeof(type)));   \
-    } else {                                                                                                                                                        \
-        ma_uint64 dataSize = totalPCMFrameCount*pFlac->channels*sizeof(type);                                                                                   \
-        if (dataSize > (ma_uint64)MA_SIZE_MAX) {                                                                                                            \
-            goto on_error;                                                                                                        \
-        }                                                                                                                                                           \
-                                                                                                                                                                    \
-        pSampleData = (type*)ma_dr_flac__malloc_from_callbacks((size_t)dataSize, &pFlac->allocationCallbacks);               \
-        if (pSampleData == NULL) {                                                                                                                                  \
-            goto on_error;                                                                                                                                          \
+            sampleDataBufferSize = newSampleDataBufferSize;                                                                                                         \
+            pSampleData = pNewSampleData;                                                                                                                           \
         }                                                                                                                                                           \
                                                                                                                                                                     \
-        totalPCMFrameCount = ma_dr_flac_read_pcm_frames_##extension(pFlac, pFlac->totalPCMFrameCount, pSampleData);                                                     \
+        MA_DR_FLAC_COPY_MEMORY(pSampleData + (totalPCMFrameCount*pFlac->channels), buffer, (size_t)(pcmFramesRead*pFlac->channels*sizeof(type)));                       \
+        totalPCMFrameCount += pcmFramesRead;                                                                                                                        \
     }                                                                                                                                                               \
                                                                                                                                                                     \
+                                                                                                                         \
+    MA_DR_FLAC_ZERO_MEMORY(pSampleData + (totalPCMFrameCount*pFlac->channels), (size_t)(sampleDataBufferSize - totalPCMFrameCount*pFlac->channels*sizeof(type)));       \
+                                                                                                                                                                    \
     if (sampleRateOut) *sampleRateOut = pFlac->sampleRate;                                                                                                          \
     if (channelsOut) *channelsOut = pFlac->channels;                                                                                                                \
     if (totalPCMFrameCountOut) *totalPCMFrameCountOut = totalPCMFrameCount;                                                                                         \
@@ -94685,19 +94796,22 @@ static ma_bool32 ma_dr_mp3_init_internal(ma_dr_mp3* pMP3, ma_dr_mp3_read_proc on
                                 ((ma_uint32)ape[25] << 8)  |
                                 ((ma_uint32)ape[26] << 16) |
                                 ((ma_uint32)ape[27] << 24);
-                            streamEndOffset -= 32 + tagSize;
-                            streamLen       -= 32 + tagSize;
-                            if (onMeta != NULL) {
-                                if (onSeek(pUserData, streamEndOffset, MA_DR_MP3_SEEK_END)) {
-                                    size_t apeTagSize = (size_t)tagSize + 32;
-                                    ma_uint8* pTagData = (ma_uint8*)ma_dr_mp3_malloc(apeTagSize, pAllocationCallbacks);
-                                    if (pTagData != NULL) {
-                                        if (onRead(pUserData, pTagData, apeTagSize) == apeTagSize) {
-                                            ma_dr_mp3__on_meta(pMP3, MA_DR_MP3_METADATA_TYPE_APE, pTagData, apeTagSize);
+                            if (32 + tagSize < streamLen) {
+                                streamEndOffset -= 32 + tagSize;
+                                streamLen       -= 32 + tagSize;
+                                if (onMeta != NULL) {
+                                    if (onSeek(pUserData, streamEndOffset, MA_DR_MP3_SEEK_END)) {
+                                        size_t apeTagSize = (size_t)tagSize + 32;
+                                        ma_uint8* pTagData = (ma_uint8*)ma_dr_mp3_malloc(apeTagSize, pAllocationCallbacks);
+                                        if (pTagData != NULL) {
+                                            if (onRead(pUserData, pTagData, apeTagSize) == apeTagSize) {
+                                                ma_dr_mp3__on_meta(pMP3, MA_DR_MP3_METADATA_TYPE_APE, pTagData, apeTagSize);
+                                            }
+                                            ma_dr_mp3_free(pTagData, pAllocationCallbacks);
                                         }
-                                        ma_dr_mp3_free(pTagData, pAllocationCallbacks);
                                     }
                                 }
+                            } else {
                             }
                         }
                     }
@@ -94785,7 +94899,6 @@ static ma_bool32 ma_dr_mp3_init_internal(ma_dr_mp3* pMP3, ma_dr_mp3_read_proc on
         {
             ma_dr_mp3_bs bs;
             ma_dr_mp3_L3_gr_info grInfo[4];
-            const ma_uint8* pTagData = pFirstFrameData;
             ma_dr_mp3_bs_init(&bs, pFirstFrameData + MA_DR_MP3_HDR_SIZE, firstFrameInfo.frame_bytes - MA_DR_MP3_HDR_SIZE);
             if (MA_DR_MP3_HDR_IS_CRC(pFirstFrameData)) {
                 ma_dr_mp3_bs_get_bits(&bs, 16);
@@ -94793,6 +94906,7 @@ static ma_bool32 ma_dr_mp3_init_internal(ma_dr_mp3* pMP3, ma_dr_mp3_read_proc on
             if (ma_dr_mp3_L3_read_side_info(&bs, grInfo, pFirstFrameData) >= 0) {
                 ma_bool32 isXing = MA_FALSE;
                 ma_bool32 isInfo = MA_FALSE;
+                const ma_uint8* pTagData;
                 const ma_uint8* pTagDataBeg;
                 pTagDataBeg = pFirstFrameData + MA_DR_MP3_HDR_SIZE + (bs.pos/8);
                 pTagData    = pTagDataBeg;
@@ -94892,7 +95006,6 @@ static ma_bool32 ma_dr_mp3__on_seek_memory(void* pUserData, int byteOffset, ma_d
     ma_dr_mp3* pMP3 = (ma_dr_mp3*)pUserData;
     ma_int64 newCursor;
     MA_DR_MP3_ASSERT(pMP3 != NULL);
-    newCursor = pMP3->memory.currentReadPos;
     if (origin == MA_DR_MP3_SEEK_SET) {
         newCursor = 0;
     } else if (origin == MA_DR_MP3_SEEK_CUR) {
@@ -95543,6 +95656,8 @@ static float* ma_dr_mp3__full_read_and_close_f32(ma_dr_mp3* pMP3, ma_dr_mp3_conf
             pNewFrames = (float*)ma_dr_mp3__realloc_from_callbacks(pFrames, (size_t)newFramesBufferSize, (size_t)oldFramesBufferSize, &pMP3->allocationCallbacks);
             if (pNewFrames == NULL) {
                 ma_dr_mp3__free_from_callbacks(pFrames, &pMP3->allocationCallbacks);
+                pFrames = NULL;
+                totalFramesRead = 0;
                 break;
             }
             pFrames = pNewFrames;
@@ -95594,6 +95709,8 @@ static ma_int16* ma_dr_mp3__full_read_and_close_s16(ma_dr_mp3* pMP3, ma_dr_mp3_c
             pNewFrames = (ma_int16*)ma_dr_mp3__realloc_from_callbacks(pFrames, (size_t)newFramesBufferSize, (size_t)oldFramesBufferSize, &pMP3->allocationCallbacks);
             if (pNewFrames == NULL) {
                 ma_dr_mp3__free_from_callbacks(pFrames, &pMP3->allocationCallbacks);
+                pFrames = NULL;
+                totalFramesRead = 0;
                 break;
             }
             pFrames = pNewFrames;
@@ -95728,7 +95845,7 @@ For more information, please refer to <http://unlicense.org/>
 ===============================================================================
 ALTERNATIVE 2 - MIT No Attribution
 ===============================================================================
-Copyright 2025 David Reid
+Copyright 2026 David Reid
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in